Abstract: This study aims to determine the effect of side barriers on the performance of Jalan A. Rivai in the Kisaran night culinary tourism area. The method used was an observational study with a traffic volume survey for seven consecutive days in November 2025. Data was collected through direct counts of light vehicles, heavy vehicles, and motorcycles using traffic counters. The analysis included calculating traffic volume (Q), road capacity (C), degree of saturation (DJ), free-flow speed (FV), and the frequency of side barriers. The results showed the highest volume on Sunday with 1,219 vehicles and a Q of 273.4 pcu/h, a road capacity of 1,952.8 pcu/h, a degree of saturation of 0.14, and a free-flow speed of 30.19 km/h. The greatest side barriers occurred on Sunday nights due to vehicle parking and street vendors on the roadside. However, these barriers did not significantly impact road performance. This study recommends shoulder space management and parking management to maintain smooth traffic flow in the area. Keywords: Side barriers, road performance, level of service, traffic volume, night culinary tourism.   Abstrak: Penelitian ini bertujuan mengetahui pengaruh hambatan samping terhadap kinerja ruas Jalan A. Rivai di kawasan wisata kuliner malam Kisaran. Metode yang digunakan adalah studi observatif dengan survei volume lalu lintas selama tujuh hari berturut-turut pada November 2025. Data dikumpulkan melalui penghitungan langsung kendaraan ringan, berat, dan sepeda motor menggunakan traffic counter. Analisis meliputi perhitungan volume lalu lintas (Q), kapasitas jalan (C), derajat kejenuhan (DJ), kecepatan arus bebas (FV), dan frekuensi hambatan samping. Hasil menunjukkan volume tertinggi pada hari Minggu dengan 1.219 kendaraan dan Q sebesar 273,4 smp/jam, kapasitas jalan sebesar 1.952,8 smp/jam, derajat kejenuhan 0,14, dan kecepatan arus bebas 30,19 km/jam. Hambatan samping terbesar terjadi pada hari Minggu malam disebabkan aktivitas parkir kendaraan dan pedagang kaki lima di bahu jalan. Meski demikian, hambatan ini belum berpengaruh signifikan terhadap kinerja jalan. Penelitian ini merekomendasikan penataan ruang bahu jalan dan pengelolaan parkir untuk menjaga kelancaran lalu lintas di kawasan tersebut. Kata kunci: Hambatan samping, kinerja jalan, tingkat pelayanan, volume lalu lintas, wisata kuliner malam.

Abstract: Student dropout has become a significant challenge for higher education institutions because it negatively affects academic performance, institutional reputation, and resource allocation. Early identification of students at risk of dropping out enables universities to implement timely interventions and improve student retention. This study proposes a predictive model for identifying students at risk of dropping out using the Extreme Gradient Boosting (XGBoost) algorithm based on academic data. The dataset consists of student academic records, including grade point average (GPA), course completion rate, attendance, accumulated credits, failed courses, and semester performance. The data were preprocessed through data cleaning, feature selection, and normalization to improve model performance. The dataset was then divided into training and testing sets using an 80:20 ratio. The XGBoost model was trained and evaluated using accuracy, precision, recall, F1-score, and Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The experimental results demonstrate that XGBoost effectively captures complex relationships among academic variables and provides high predictive performance in identifying students with dropout risk. Feature importance analysis further reveals that GPA, accumulated credits, attendance rate, and the number of failed courses are the most influential factors affecting student dropout. The proposed approach offers a practical decision-support tool for higher education institutions by enabling early detection of at-risk students and facilitating targeted academic support programs. The findings contribute to the application of machine learning in educational data mining and learning analytics, providing valuable insights for improving student retention strategies and academic success. Future research may integrate non-academic factors such as socioeconomic background, psychological characteristics, and student engagement to further enhance prediction accuracy and model generalizability across different educational institutions. Keywords: Student Dropout Prediction; XGBoost; Machine Learning; Educational Data Mining; Learning Analytics.   Abstrak: Putus kuliah merupakan tantangan signifikan bagi institusi pendidikan tinggi karena berdampak negatif terhadap kinerja akademik, reputasi institusi, dan alokasi sumber daya. Identifikasi dini terhadap mahasiswa yang berisiko putus kuliah memungkinkan universitas untuk menerapkan intervensi yang tepat waktu dan meningkatkan retensi mahasiswa. Penelitian ini mengusulkan model prediktif untuk mengidentifikasi mahasiswa yang berisiko putus kuliah menggunakan algoritma Extreme Gradient Boosting (XGBoost) berdasarkan data akademik. Kumpulan data mencakup rekam jejak akademik mahasiswa, termasuk Indeks Prestasi Kumulatif (IPK), tingkat penyelesaian mata kuliah, kehadiran, akumulasi kredit, mata kuliah yang gagal, dan kinerja semester. Data diproses melalui tahapan pembersihan data, seleksi fitur, dan normalisasi untuk meningkatkan kinerja model. Selanjutnya, kumpulan data dibagi menjadi set pelatihan dan pengujian dengan rasio 80:20. Model XGBoost dilatih dan dievaluasi menggunakan metrik akurasi, presisi, recall, skor-F1, dan Area Under the Receiver Operating Characteristic Curve (AUC-ROC). Hasil eksperimen menunjukkan bahwa XGBoost secara efektif menangkap hubungan kompleks antarvariabel akademik dan memberikan kinerja prediksi yang tinggi dalam mengidentifikasi mahasiswa dengan risiko putus kuliah. Analisis kepentingan fitur mengungkapkan bahwa IPK, akumulasi kredit, tingkat kehadiran, dan jumlah mata kuliah yang gagal merupakan faktor paling berpengaruh terhadap risiko putus kuliah mahasiswa. Pendekatan yang diusulkan ini menawarkan alat pendukung keputusan yang praktis bagi institusi pendidikan tinggi dengan memungkinkan deteksi dini mahasiswa berisiko serta memfasilitasi program dukungan akademik yang terarah. Temuan ini berkontribusi pada penerapan machine learning dalam penambangan data pendidikan dan analitik pembelajaran, serta memberikan wawasan berharga untuk meningkatkan strategi retensi mahasiswa dan keberhasilan akademik. Penelitian di masa mendatang dapat mengintegrasikan faktor non-akademik—seperti latar belakang sosial-ekonomi, karakteristik psikologis, dan keterlibatan mahasiswa—untuk lebih meningkatkan akurasi prediksi dan kemampuan generalisasi model di berbagai institusi pendidikan. Kata kunci: Prediksi Putus Kuliah Mahasiswa; XGBoost; Machine Learning; Penambangan Data Pendidikan; Analitik Pembelajaran.

Abstract: This study maps the intellectual, conceptual, and temporal structure of research on artificial intelligence (AI) and accountants’ work efficiency. Design/methodology/approach — A Scopus search identified 1,418 English-language, open-access journal articles published from 2020 to 2026. Because the term “account” generated finance- and banking-related noise, title and author-keyword screening retained 185 accounting- and audit-relevant articles. Performance analysis was combined with keyword co-occurrence, network, overlay, and density mapping using VOSviewer-compatible files. Findings — Annual output increased from 3 articles in 2020 to 67 in 2025, with 39 additional articles indexed during the partial 2026 period. The corpus comprised 91 sources and 520 authors, with a mean of 14.0 citations per article and a median of 3. The keyword network contained 35 terms, 70 links, and five clusters covering audit and risk analytics; professional automation and ethics; generative AI, financial reporting, and governance; digital infrastructure; and education and technology acceptance. The thematic focus shifted from RPA, blockchain, and IoT toward generative AI, large language models, explainable AI, corporate governance, and financial reporting. Originality/value — This study provides an outcome-centered and reproducible map of AI-enabled accounting efficiency, distinguishes established automation themes from emerging generative-AI and governance research, and documents the screening required to address query contamination. Keywords: artificial intelligence; accounting; work efficiency; bibliometric analysis; science mapping.   Abstrak: Studi ini memetakan struktur intelektual, konseptual, dan temporal dari penelitian mengenai kecerdasan buatan (AI) dan efisiensi kerja akuntan. Desain/metodologi/pendekatan — Pencarian di Scopus mengidentifikasi 1.418 artikel jurnal akses terbuka berbahasa Inggris yang diterbitkan antara tahun 2020 dan 2026. Karena istilah "account" menghasilkan data yang tidak relevan (noise) terkait keuangan dan perbankan, penyaringan berdasarkan judul dan kata kunci penulis menyisakan 185 artikel yang relevan dengan bidang akuntansi dan audit. Analisis kinerja digabungkan dengan pemetaan ko-okurensi kata kunci, jaringan, overlay, dan kepadatan menggunakan berkas yang kompatibel dengan VOSviewer. Temuan — Jumlah publikasi tahunan meningkat dari 3 artikel pada tahun 2020 menjadi 67 artikel pada tahun 2025, dengan tambahan 39 artikel terindeks selama periode parsial tahun 2026. Korpus data mencakup 91 sumber dan 520 penulis, dengan rata-rata 14,0 sitasi per artikel dan nilai tengah (median) sebesar 3. Jaringan kata kunci memuat 35 istilah, 70 tautan, dan lima klaster yang mencakup analitik audit dan risiko; otomatisasi profesional dan etika; AI generatif, pelaporan keuangan, dan tata kelola; infrastruktur digital; serta pendidikan dan penerimaan teknologi. Fokus tematik bergeser dari RPA, blockchain, dan IoT menuju AI generatif, model bahasa besar (LLM), AI yang dapat dijelaskan (explainable AI), tata kelola perusahaan, dan pelaporan keuangan. Orisinalitas/nilai — Studi ini menyajikan peta efisiensi akuntansi berbasis AI yang berorientasi pada hasil dan dapat direplikasi, membedakan tema otomatisasi yang sudah mapan dari penelitian baru mengenai AI generatif dan tata kelola, serta mendokumentasikan proses penyaringan yang diperlukan untuk mengatasi kontaminasi hasil pencarian. Kata kunci: kecerdasan buatan; akuntansi; efisiensi kerja; analisis bibliometrik; pemetaan sains.

Abstract: Nurse entrepreneurship has long been discussed as a response to healthcare service gaps, professional autonomy, and new forms of care delivery. However, the evidence remains fragmented across practice reports, historical accounts, qualitative studies, and educational reviews, while market-facing and business-development capabilities are rarely synthesized as an integrated construct. This review maps the development of Scopus-indexed nurse entrepreneurship research and synthesizes the marketing and business development capabilities associated with venture creation, legitimacy, commercialization, and sustainability. A Scopus-based systematic literature review was reported using PRISMA 2020 and informed by SPAR-4-SLR. Inclusion criteria were English language, nursing context, and article document type. Twenty-two articles published from 1985 to 2025 were included in bibliometric analysis; 17 records with usable abstracts supported thematic coding. Keyword co-occurrence was examined using full counting and a minimum occurrence threshold of two. Six empirical or review reports were provisionally appraised using design-appropriate JBI tools. The corpus received 116 Scopus citations and was distributed across 18 sources. Healthcare marketing (18 occurrences; total link strength [TLS] = 103), nursing services (15; TLS = 80), entrepreneurship (14; TLS = 77), professional practice (13; TLS = 69), and financial management (12; TLS = 61) formed the conceptual core. Network analysis produced two broad clusters: a market-operational cluster and an entrepreneurial-professional-development cluster. Overlay visualization indicated a transition from private practice, financial management, and service promotion toward leadership, professional competence, communication, and sustainable value. Five capability domains were synthesized: market sensing and opportunity recognition; marketing communication, positioning, and trust; business planning and financial management; networking, partnerships, and referrals; and service innovation and commercialization. Nurse entrepreneurship research recognizes many practical business activities but has not yet developed a cumulative, theory-driven capability model. Future research should measure capability configurations and link them to patient trust, service adoption, financial viability, growth, and social value. Keywords: business development; entrepreneurial nursing; nurse entrepreneurship; marketing capabilities   Abstrak: Kewirausahaan perawat telah lama dibahas sebagai respons terhadap kesenjangan layanan kesehatan, otonomi profesional, dan bentuk-bentuk baru pemberian layanan kesehatan. Namun, bukti-bukti yang ada masih tersebar dalam laporan praktik, catatan sejarah, studi kualitatif, dan tinjauan pendidikan, sementara kemampuan yang berorientasi pada pasar dan pengembangan bisnis jarang disintesis sebagai sebuah konstruk yang terintegrasi. Tinjauan ini memetakan perkembangan penelitian kewirausahaan perawat yang terindeks Scopus serta menyintesis kemampuan pemasaran dan pengembangan bisnis yang terkait dengan pembentukan usaha, legitimasi, komersialisasi, dan keberlanjutan. Tinjauan pustaka sistematis berbasis Scopus ini dilaporkan menggunakan pedoman PRISMA 2020 dan kerangka SPAR-4-SLR. Kriteria inklusi mencakup penggunaan bahasa Inggris, konteks keperawatan, dan jenis dokumen artikel. Sebanyak dua puluh dua artikel yang diterbitkan antara tahun 1985 hingga 2025 disertakan dalam analisis bibliometrik; 17 rekaman dengan abstrak yang dapat digunakan mendukung proses pengodean tematik. Ko-okurensi kata kunci diperiksa menggunakan metode full counting dengan ambang batas kemunculan minimal dua kali. Enam laporan empiris atau tinjauan dinilai secara awal menggunakan instrumen JBI yang sesuai dengan desain penelitian. Kumpulan literatur ini memperoleh 116 sitasi Scopus dan tersebar di 18 sumber publikasi. Pemasaran layanan kesehatan (18 kemunculan; total kekuatan tautan [TLS] = 103), layanan keperawatan (15; TLS = 80), kewirausahaan (14; TLS = 77), praktik profesional (13; TLS = 69), dan manajemen keuangan (12; TLS = 61) membentuk inti konseptual. Analisis jaringan menghasilkan dua klaster besar: klaster operasional-pasar dan klaster pengembangan profesional-kewirausahaan. Visualisasi overlay menunjukkan adanya transisi dari praktik mandiri, manajemen keuangan, dan promosi layanan menuju kepemimpinan, kompetensi profesional, komunikasi, dan nilai berkelanjutan. Lima domain kemampuan disintesis: pemahaman pasar dan pengenalan peluang; komunikasi pemasaran, pemosisian, dan kepercayaan; perencanaan bisnis dan manajemen keuangan; jejaring, kemitraan, dan rujukan; serta inovasi layanan dan komersialisasi. Penelitian kewirausahaan perawat mengakui berbagai aktivitas bisnis praktis namun belum mengembangkan model kemampuan yang bersifat kumulatif dan berbasis teori. Penelitian di masa depan sebaiknya mengukur konfigurasi kemampuan dan mengaitkannya dengan kepercayaan pasien, adopsi layanan, kelayakan finansial, pertumbuhan, dan nilai sosial. Kata kunci: pengembangan bisnis; keperawatan kewirausahaan; kewirausahaan perawat; kemampuan pemasaran

Abstract: The development of digital technology has increased the need for access to scientific information, especially related to academic journal publications. The Science and Technology Index (SINTA) website is one of the main platforms that provides information on accredited scientific journals in Indonesia. However, the process of searching and collecting journal data on the website is still done manually, so it is less efficient when the amount of data needed is large enough. This research aims to implement and evaluate web scraping techniques in collecting journal data on the SINTA website so that the data acquisition process can be carried out automatically, quickly, and in a structured manner. The research method uses an implementive approach through the stages of literature study, analysis of the structure of website pages, development of a system using the Python programming language with the BeautifulSoup library, data collection, database storage, and evaluation of extraction results. The results of the study show that the implementation of the web scraping technique  succeeded in obtaining as many as 15,456 journal data from the SINTA website in 2026 which includes information on journal names, publishing institutions, accreditation categories, ISSN, fields of science, and journal website links. The developed system is also capable of storing data in a structured manner into a database and supports regular information updates. The results of the evaluation show that the web scraping technique is able to improve the efficiency of data collection, minimize manual processes, and produce more systematic journal data. Thus, the implementation of web scraping techniques can be an effective solution in supporting the needs of academics and researchers to obtain journal information quickly and accurately. Keywords: Web Scraping, SINTA, Scientific Journals, Python, Beautifulsoup, Data Extraction.   Abstrak: Perkembangan teknologi digital telah meningkatkan kebutuhan akses terhadap informasi ilmiah, terutama yang berkaitan dengan publikasi jurnal akademik. Situs web Indeks Sains dan Teknologi (SINTA) merupakan salah satu platform utama yang menyediakan informasi tentang jurnal ilmiah terakreditasi di Indonesia. Namun, proses pencarian dan pengumpulan data jurnal di situs web tersebut masih dilakukan secara manual, sehingga kurang efisien ketika jumlah data yang dibutuhkan cukup besar. Penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi teknik web scraping dalam pengumpulan data jurnal di situs web SINTA sehingga proses akuisisi data dapat dilakukan secara otomatis, cepat, dan terstruktur. Metode penelitian menggunakan pendekatan implementasi melalui tahapan studi pustaka, analisis struktur halaman web, pengembangan sistem menggunakan bahasa pemrograman Python dengan pustaka BeautifulSoup, pengumpulan data, penyimpanan basis data, dan evaluasi hasil ekstraksi. Hasil penelitian menunjukkan bahwa implementasi teknik web scraping berhasil memperoleh sebanyak 15.456 data jurnal dari situs web SINTA pada tahun 2026 yang mencakup informasi tentang nama jurnal, lembaga penerbitan, kategori akreditasi, ISSN, bidang ilmu, dan tautan situs web jurnal. Sistem yang dikembangkan juga mampu menyimpan data secara terstruktur ke dalam basis data dan mendukung pembaruan informasi secara berkala. Hasil evaluasi menunjukkan bahwa teknik web scraping mampu meningkatkan efisiensi pengumpulan data, meminimalkan proses manual, dan menghasilkan data jurnal yang lebih sistematis. Dengan demikian, implementasi teknik web scraping dapat menjadi solusi efektif dalam mendukung kebutuhan akademisi dan peneliti untuk memperoleh informasi jurnal dengan cepat dan akurat. Kata kunci: Web Scraping, SINTA, Jurnal Ilmiah, Python, Beautifulsoup, Ekstraksi Data.

Abstract: This study employs a quantitative approach with an explanatory research design to examine the causal relationship between the variables under investigation. Data were collected from respondents via questionnaires serving as the primary data source and subsequently analyzed using the Statistical Package for the Social Sciences (SPSS) software. The study population consisted of currently active teachers at SMK Swasta Amal Bakti. Sampling was conducted using a non-probability sampling technique specifically purposive sampling whereby respondents were selected based on predetermined criteria. The t-test results in the "Coefficients" table yielded a significance value of <0.000 for the Organizational Culture variable, which is below the significance level of α = 0.05; meanwhile, the calculated t-value of 10.049 indicates that organizational culture exerts a highly significant influence on legal regulation. Analysis of the "Model Summary" table revealed an R-square value of 0.678. This value indicates that the organizational culture variable explains 67.8% of the variance in the legal regulation variable, while the remaining 32.2% is influenced by variables outside the scope of this research model. Thus, the R-square value of 0.678 suggests a relatively strong relationship or a significant degree of interconnectedness between organizational culture and legal regulation. Keywords: Organizational Culture; Legal Regulations; Work Environment   Abstrak: Penelitian ini menerapkan pendekatan kuantitatif dengan desain penelitian eksplanatori (explanatory research) untuk menguji hubungan kausal antara variabel yang diteliti. Data dalam penelitian diperoleh dari berbagai responden melalui penyebaran   kuesioner   sebagai   sumber data primer, kemudian hasil data yang diperoleh dianalisis dengan menggunakan   bantuan   perangkat lunak Statistical Package for the Social Sciences (SPSS). Populasi dalam penelitian ini terdiri dari guru-guru SMK Swasta Amal Bakti yang aktif bekerja sampai dengan saat ini. Pengambilan sampel dilakukan dengan teknik non-probability sampling menggunakan metode purposive sampling, yaitu pemilihan responden berdasarkan kriteria tertentu. Berdasarkan hasil analisis uji t pada tabel Coefficients, diperoleh nilai signifikansi untuk variabel Budaya Organisasi sebesar < 0,000 yang lebih kecil dari taraf signifikansi α = 0,05, sementara,  nilai  t-hitung sebesar 10,049 menunjukkan bahwa variabel budaya organisasi memiliki pengaruh yang sangat signifikan terhadap regulasi hukum.  Berdasarkan hasil analisis pada tabel Model Summary, diperoleh nilai R Square sebesar 0,678. Nilai tersebut menunjukkan bahwa variable budaya organisasi mampu menjelaskan variabel regulasi hukum sebesar 67,8%, sedangkan sisanya sebesar 32,2%  dipengaruhi  oleh  variabel  lain  di luar     model penelitian ini. Dengan demikian,  nilai  R  Square  sebesar  0,678 mengindikasikan  bahwa  hubungan  antara budaya organisasi  dan regulasi hukum berada  pada  kategori  cukup kuat   atau saling berkaitan. Kata kunci: Budaya Organisasi; Regulasi Hukum; Lingkungan Kerja.

Abstract: Meeting the forage requirements of ruminant livestock demands an effective grass‑chopping process to ensure that feed is easier to consume, enhances digestive efficiency, and reduces the daily workload of farmers. In practice, however, grass chopping is still frequently performed manually, resulting in inconsistent particle sizes, high physical exertion, and significant delays in feed preparation. This study aims to design and develop a grass‑chopping machine that operates efficiently, safely, and is easy for small‑ to medium‑scale farmers to use. The design process involved identifying user needs, developing mechanical components, performing structural strength calculations, fabricating the frame and chopping chamber, and conducting machine performance tests. The results indicate that the developed machine can achieve a chopping capacity of 81 kg/hour at a blade rotational speed of 18,000 rpm, producing more uniform feed particles than manual methods. The incorporation of six straight blades on the rotating shaft effectively enhances the homogeneity of the chopped output while maintaining stable operational performance. Overall, the grass‑chopping machine designed in this study has proven capable of improving work efficiency, reducing the physical burden on farmers, and producing feed sizes better suited to livestock nutritional needs. Keywords: Grass Chopping, Livestock Feed, Design and Development   Abstrak: Pemenuhan kebutuhan pakan hijauan bagi ternak ruminansia memerlukan proses pencacahan rumput yang efektif agar pakan lebih mudah dikonsumsi, meningkatkan efisiensi pencernaan, serta menghemat waktu kerja peternak. Pada praktiknya, pencacahan rumput masih banyak dilakukan secara manual sehingga menghasilkan potongan yang tidak seragam, memerlukan tenaga besar, dan memperlambat proses penyediaan pakan harian. Penelitian ini bertujuan merancang dan membangun sebuah mesin pencacah rumput pakan ternak yang mampu bekerja secara efisien, aman, dan mudah dioperasikan oleh peternak skala kecil hingga menengah. Perancangan dilakukan melalui tahap identifikasi kebutuhan, desain komponen mekanis, perhitungan kekuatan struktur, pembuatan rangka dan ruang pencacah, serta pengujian performa mesin. Hasil pengujian menunjukkan bahwa mesin yang dikembangkan mampu mencapai kapasitas pencacahan 81 kg/jam pada putaran pisau 18.000 rpm, dengan kualitas cacahan yang lebih seragam dibandingkan metode manual. Penggunaan enam pisau lurus pada poros berputar terbukti meningkatkan homogenitas hasil potongan serta menjaga stabilitas kerja mesin. Dengan demikian, mesin pencacah rumput yang dirancang pada penelitian ini terbukti mampu meningkatkan efisiensi waktu kerja, mengurangi beban fisik peternak, serta menyediakan potongan pakan yang lebih sesuai kebutuhan ternak. Kata Kunci: Pencacah Rumput, Pakan Ternak, Rancang Bangun

Abstract: This study aims to develop an adaptive mathematics learning media based on machine learning and to examine its feasibility and effectiveness in improving student learning outcomes. The media was developed using the 4D research and development model (define, design, develop, disseminate). A Random Forest algorithm was employed to classify students' ability into three categories (low, medium, high) based on their exercise history, allowing the media to automatically adjust the difficulty level of the exercises. The trial subjects were eighth-grade junior high school students of Tamansiswa Sukadamai. Data were collected through a needs analysis questionnaire, expert validation sheets, a System Usability Scale (SUS) questionnaire, and pretest-posttest learning outcome tests. The results indicate that the media is feasible, practical, and effective in improving student learning outcomes, and that the developed model shows good classification accuracy. Keywords: adaptive learning media, machine learning, learning outcomes, mathematics, Random Forest   Abstrak: Penelitian ini bertujuan untuk mengembangkan media pembelajaran matematika adaptif berbasis machine learning serta menguji kelayakan dan efektivitasnya dalam meningkatkan hasil belajar siswa. Media dikembangkan menggunakan model penelitian dan pengembangan 4D (define, design, develop, disseminate). Algoritma Random Forest digunakan untuk mengklasifikasikan kemampuan siswa ke dalam tiga kategori (rendah, sedang, tinggi) berdasarkan riwayat pengerjaan soal, sehingga media dapat menyesuaikan tingkat kesulitan latihan secara otomatis. Subjek uji coba penelitian adalah siswa kelas VIII SMP Tamansiswa Sukadamai. Data dikumpulkan melalui angket analisis kebutuhan, lembar validasi ahli, angket System Usability Scale (SUS), serta tes hasil belajar (pretest dan posttest). Hasil penelitian menunjukkan bahwa media dinyatakan layak, praktis, dan efektif meningkatkan hasil belajar siswa, serta model yang dikembangkan menunjukkan akurasi klasifikasi yang baik. Kata kunci: media pembelajaran adaptif, machine learning, hasil belajar, matematika, Random Forest

Abstract: This article explores the communication crisis challenges faced by PDAM Tirtanadi and the role of Public Relations (PR) in managing these issues to improve organizational performance. This study employs a qualitative approach with in-depth interviews with the company staff, as the primary data collection method. The findings reveal that the main challenges include a lack of transparency and consistency in delivering information to the public. To address these issues, PDAM Tirtanadi has developed various strategies, such as strengthening internal communication, fostering good relationships with the media through the Forum Wartawan Tirtanadi (Forwadi), and utilizing digital technology for information dissemination. The study concludes by highlighting the importance of crisis communication training for PR teams, strengthening internal communication systems, and ensuring transparency in public interactions to maintain public trust and enhance the organization's reputation. Keywords: Public Relations, Crisis Communication, Organization Performance Abstrak: Penelitian ini bertujuan untuk mengetahui komunikasi krisis yang dihadapi oleh PDAM Tirtanadi dan menganalisis peran Public Relations (PR) dalam mengelola situasi tersebut untuk meningkatkan kinerja organisasi. Penelitian ini menggunakan pendekatan kualitatif dengan wawancara mendalam dengan pihak PT sebagai metode pengumpulan data utama. Hasil penelitian menunjukkan bahwa tantangan utama dalam menghadapi krisis komunikasi adalah kurangnya transparansi dan konsistensi dalam penyampaian informasi kepada masyarakat. Untuk mengatasi hal ini, PDAM Tirtanadi telah mengembangkan berbagai strategi, seperti memperkuat komunikasi internal, menjalin hubungan baik dengan media melalui Forum Wartawan Tirtanadi (Forwadi), dan memanfaatkan teknologi digital dalam menyampaikan informasi. Kesimpulan dari penelitian ini menunjukkan bahwa pentingnya pelatihan komunikasi krisis bagi tim PR, penguatan sistem komunikasi internal, serta transparansi dalam berinteraksi dengan masyarakat untuk menjaga kepercayaan publik dan meningkatkan reputasi organisasi. Kata kunci: Public Relations, Krisis Komunikasi, Kinerja Organisasi

Abstract: Aquaculture has significant potential to contribute to local economic development. However, one of the major challenges faced by fish farmers is that fish fry production remains below target, with productivity below 70%. This low level of production negatively affects farmers' income and the sustainability of their aquaculture operations. One of the hatcheries facing this challenge is the Unit Pembenihan Rakyat Karya Yuda. The application of ozonation technology offers a promising approach to improving water quality and enhancing fish fry production. However, knowledge of how to apply ozonation technology remains limited among fish farmers. This community service program aimed to enhance fish farmers' knowledge and understanding of ozonation technology and its application in aquaculture. The program consisted of three stages: preparation, implementation, and evaluation. The results showed that applying ozone gas to pond water improved catfish fry productivity. The water quality parameters remained within the normal range, with a temperature of 30.2°C, a pH of 7.9, and a dissolved oxygen (DO) concentration of 6.7 mg/L. In addition, the fish egg hatching rate exceeded 85%, the fish fry exhibited faster growth, and no fungal infection was observed on the fish eggs. In conclusion, this community service program demonstrated that the application of ozonation technology benefited UPR Karya Yuda by maintaining good water quality and increasing fish fry production.   Keyword: fish; ozone plasma; pond   Abstrak: Budidaya perikanan memiliki potensi yang besar dalam mendorong peningkatan perekonomian di masyarakat. Kendala yang dihadapi oleh pembudidaya ikan diantaranya produktivitas benih ikan yang masih dibawah target yaitu < 70%. Produksi ikan yang rendah akan berpengaruh terhadap pendapatan pembudidaya ikan. Pembudidaya ikan yang mengalami masalah seperti ini contohnya Unit Pembenihan Rakyat Karya Yuda. Solusi yang dapat dipilih yaitu penggunaan teknologi ozonisasi. Akan tetapi, informasi terkait manfaat teknologi ozonisasi ini masih minim di kalangan pembudidaya ikan. Tujuan kegiatan pengabdian kepada masyarakat yaitu meningkatkan pengetahuan dan informasi kepada pembudidaya ikan terkait teknologi ozonisasi.. Hasil kegiatan yaitu gas ozon yang diaplikasikan pada air kolam mendukung produktivitas benih ikan lele. Parameter kualitas air tergolong normal yaitu suhu sebesar 30,2 0C, nilai pH.nya 7,9 dan nilai DO yaitu 6,7 mg/L. Sedangkan daya tetas telur ikan > 85%, pertumbuhan benih ikan lebih cepat dan tidak ditemukan jamur pada telur ikan. Simpulan dari kegiatan pengabdian kepada masyarakat adalah teknologi ozonisasi memberikan manfaat untuk UPR Karya Yuda, yaitu mempertahankan kualitas air tetap baik bagi ikan serta meningkatkan produksi benih ikan.     Kata kunci: ikan; plasma ozon; kolam

This study aims to analyze the effect of learning discipline and learning independence on the economic learning achievement of 11th-grade students at SMAN 13 Medan in the 2025/2026 academic year. The study uses a quantitative approach with an ex-post facto method. The population of the study includes all 11th-grade students consisting of four classes, with a sample of 105 students selected using simple random sampling. Data were collected through questionnaires and analyzed using multiple linear regression with the help of SPSS version 26. The results of the study show the regression equation Y = 60.410 + 0.246X₁ + 0.174X₂ + e. Partially, learning discipline has a positive and significant effect on academic achievement with a t-count value = 5.995 > t-table = 1.659 and significance 0.000 < 0.05. Learning independence also has a positive and significant effect on academic achievement with a t-count value = 4.154 > t-table = 1.659 and significance 0.000 < 0.05. Simultaneously, learning discipline and independence. Simultaneously, study discipline and learning independence have a positive and significant effect on academic achievement, with a calculated F value of 125.185 > table F of 3.09 and a significance of 0.000 < 0.05. These two variables contribute 71.1% to academic achievement, while 28.9% is influenced by other factors outside the study. Thus, study discipline and learning independence positively and significantly affect the economics learning achievement of 11th grade students at SMAN 13 Medan

Abstract: Advances in information technology are driving the digitization of public services, including public complaint handling at the village level. The complaint process in Singarajan Village is still carried out manually, resulting in ineffective documentation, difficulty in monitoring follow-up actions on complaints, and potential risks to data confidentiality and integrity. This study aims to develop a mobile-based public complaint system capable of improving the effectiveness of complaint management while ensuring data security through a combination of the RSA and AES-256-CBC algorithms and HMAC-SHA256 authentication. The research method used is a mixed-methods approach, with the system development phase following the SDLC Waterfall model, including requirement analysis, design, coding, testing, and maintenance. System testing was conducted using Black Box Testing to evaluate the application’s functionality and the System Usability Scale (SUS) to measure usability. The research results show that all major system functions operate as intended; the hybrid encryption process successfully maintains the confidentiality of complaint data, while HMAC is able to verify data integrity during the communication process. The SUS test results yielded an average score of 61.33, which falls into the “Marginal Acceptable” category with a grade of D; thus, the application is deemed usable, although it still requires improvement in terms of ease of use. Keywords: Complaint System; Hybrid Encryption; RSA; AES-256-CBC; HMAC-SHA256; Waterfall SDLC.   Abstrak: Perkembangan teknologi informasi mendorong digitalisasi layanan publik, termasuk pelayanan pengaduan masyarakat di tingkat desa. Proses pengaduan di Desa Singarajan masih dilakukan secara manual sehingga menyebabkan pendokumentasian kurang efektif, tindak lanjut pengaduan sulit dipantau, serta berpotensi menimbulkan risiko terhadap kerahasiaan dan integritas data. Tujuan penelitian ini ialah mengembangkan sistem pengaduan masyarakat berbasis mobile yang mampu meningkatkan efektivitas pengelolaan pengaduan sekaligus menjamin keamanan data menggunakan kombinasi algoritma RSA-2048, AES-256-CBC, dan autentikasi HMAC-SHA256. Metode penelitian yang digunakan adalah Mixed Method dengan tahapan pengembangan sistem SDLC Waterfall, meliputi requirement analysis, design, coding, testing, dan maintenance. Pengujian sistem dilakukan menggunakan Black Box Testing untuk menguji fungsionalitas aplikasi serta System Usability Scale (SUS) untuk mengukur tingkat usability. Hasil penelitian menunjukkan bahwa seluruh fungsi utama sistem berjalan sesuai dengan kebutuhan, proses hybrid encryption berhasil menjaga kerahasiaan data pengaduan, sedangkan HMAC mampu memverifikasi integritas data selama proses komunikasi. Hasil pengujian SUS memperoleh nilai rata-rata 61,33, yang termasuk kategori Marginal Acceptable dengan grade D, sehingga aplikasi dinilai telah dapat digunakan, meskipun masih memerlukan peningkatan pada aspek kemudahan penggunaan. Kata kunci: Sistem Pengaduan; Hybrid Encryption; RSA-2048; AES-256-CBC; HMAC-SHA256; SDLC Waterfall.

Economics learning in high school is still dominated by lecture methods and the use of less interactive media, resulting in low student engagement and learning outcomes. This study aims to develop interactive Nearpod-based learning media on Banking, Non-Bank Financial Industry, and Capital Market materials, and to test its feasibility and effectiveness in improving the learning outcomes of grade X students of SMA Negeri 1 Medan. This study uses the Research and Development (R&D) method with the ADDIE development model which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. The research subjects consisted of validators including material experts, media experts, and learning design experts, as well as grade X students of SMA Negeri 1 Medan. Data collection techniques were carried out through observation, questionnaires, documentation, and learning outcome tests. Data analysis used quantitative descriptive analysis, Independent Sample t-test, and Normalized Gain (N-Gain). The results showed that Nearpod-based learning media obtained a feasibility percentage of 88% based on media expert assessments and student responses of 93% with a very feasible category. The effectiveness test results showed a significant difference in learning outcomes between the experimental and control classes (Sig. = 0.000 < 0.05). The N-Gain value of the experimental class was 0.763, which is in the high category, while the control class was 0.565, which is in the medium category. Thus, the Nearpod-based interactive learning media was declared feasible and effective in improving student learning outcomes in Economics.

Abstract: This study aims to determine the effect of organizational communication, job satisfaction, and career development on employee performance at the Population Control, Family Planning, Women Empowerment, and Child Protection Office of Asahan Regency. This research employed a quantitative method with multiple linear regression analysis. The sample was determined using saturated sampling, in which the entire population was used as the sample, totaling 47 respondents. The results show that organizational communication, job satisfaction, and career development simultaneously have a positive and significant effect on employee performance, as indicated by Fcount (31.015) > Ftable (2.82) and a significance value of 0.000 < 0.05. Partially, organizational communication has a positive and significant effect on employee performance with tcount (3.040) > ttable (2.016) and a significance value of 0.004 < 0.05. Job satisfaction also has a positive and significant effect with tcount (2.855) > ttable (2.016) and a significance value of 0.007 < 0.05. Furthermore, career development has a positive and significant effect with tcount (2.793) > ttable (2.016) and a significance value of 0.008 < 0.05. The coefficient of determination indicates an Adjusted R Square value of 0.662, meaning that organizational communication, job satisfaction, and career development explain 66.2% of employee performance, while the remaining 33.8% is explained by other variables outside the research model. Keywords: Organizational Communication, Job Satisfaction, Career Development, Employee Performance.   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh komunikasi organisasi, kepuasan kerja, dan pengembangan karir terhadap kinerja pegawai pada Dinas Pengendalian Penduduk Keluarga Berencana Pemberdayaan Perempuan dan Perlindungan Anak Kabupaten Asahan. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik analisis regresi linear berganda. Sampel ditentukan menggunakan metode sampling jenuh, yaitu seluruh populasi dijadikan sampel sebanyak 47 responden. Hasil penelitian menunjukkan bahwa secara simultan komunikasi organisasi, kepuasan kerja, dan pengembangan karir berpengaruh positif dan signifikan terhadap kinerja pegawai, dengan nilai Fhitung (31,015) > Ftabel (2,82) dan nilai signifikansi sebesar 0,000 < 0,05. Secara parsial, komunikasi organisasi berpengaruh positif dan signifikan terhadap kinerja pegawai dengan nilai thitung (3,040) > ttabel (2,016) dan nilai signifikansi sebesar 0,004 < 0,05. Kepuasan kerja juga berpengaruh positif dan signifikan dengan nilai thitung (2,855) > ttabel (2,016) dan nilai signifikansi sebesar 0,007 < 0,05. Demikian pula, pengembangan karir berpengaruh positif dan signifikan dengan nilai thitung (2,793) > ttabel (2,016) dan nilai signifikansi sebesar 0,008 < 0,05. Hasil koefisien determinasi menunjukkan nilai Adjusted R Square sebesar 0,662, artinya komunikasi organisasi, kepuasan kerja, dan pengembangan karir mampu menjelaskan kinerja pegawai sebesar 66,2%, sedangkan 33,8% sisanya dijelaskan oleh variabel lain di luar model penelitian ini. Kata kunci: Komunikasi Organisasi, Kepuasan Kerja, Pengembangan Karir, Kinerja Pegawai.

Abstract: The traditional process of making cendol is still carried out manually, especially during the stirring stage of the batter throughout the cooking process. Continuous stirring requires considerable effort and a relatively long time. In addition, inconsistent stirring speed can cause the batter to mix unevenly, thereby affecting the quality of the resulting cendol. Therefore, an automatic cendol stirring machine is needed to help improve production efficiency and produce a more homogeneous batter. This study aims to design and develop an Arduino Uno-based automatic cendol stirring machine capable of automating the cendol batter stirring process. The system uses an Arduino Uno as the main controller, a DC motor to drive the stirring mechanism, a temperature sensor to monitor the temperature during the cooking process, and an LCD as the information display. Testing was conducted to evaluate the system's performance in automatically stirring the batter and maintaining the stability of the cooking process. The test results show that the automatic cendol stirring machine performs well according to the design. The system is able to stir the batter continuously at a stable speed, ensuring the batter is mixed evenly while reducing the operator's workload. The use of the Arduino Uno as the control system also simplifies operation and improves the efficiency of the cendol production process. Keywords: Arduino Uno, cendol, automatic stirring machine, DC motor, control system.   Abstrak: Proses pembuatan cendol secara tradisional masih dilakukan secara manual, terutama pada tahap pengadukan adonan selama proses pemasakan. Pengadukan yang dilakukan secara terus-menerus membutuhkan tenaga yang besar dan waktu yang cukup lama. Selain itu, ketidakstabilan kecepatan pengadukan dapat menyebabkan adonan tidak tercampur secara merata, sehingga memengaruhi kualitas cendol yang dihasilkan. Oleh karena itu, diperlukan suatu mesin pengaduk cendol otomatis yang dapat membantu meningkatkan efisiensi proses produksi dan menghasilkan adonan yang lebih homogen. Penelitian ini bertujuan untuk merancang dan membangun mesin pengaduk cendol otomatis berbasis Arduino Uno yang mampu mengotomatisasi proses pengadukan adonan cendol. Sistem menggunakan Arduino Uno sebagai pengendali utama, motor DC sebagai penggerak mekanisme pengaduk, sensor suhu untuk memantau temperatur selama proses pemasakan, serta LCD sebagai media tampilan informasi. Pengujian dilakukan untuk mengetahui kinerja sistem dalam mengaduk adonan secara otomatis dan menjaga kestabilan proses pemasakan. Hasil pengujian menunjukkan bahwa mesin pengaduk cendol otomatis dapat bekerja dengan baik sesuai dengan rancangan. Sistem mampu melakukan pengadukan secara kontinu dengan kecepatan yang stabil sehingga adonan tercampur secara merata dan mengurangi beban kerja operator. Penggunaan Arduino Uno sebagai sistem kendali juga memudahkan pengoperasian dan meningkatkan efisiensi proses produksi cendol. Kata kunci: Arduino Uno, cendol, mesin pengaduk otomatis, motor DC, sistem kendali.

Abstract: This study aims to examine the implementation of Microsoft Excel in improving the quality of financial management at As Sa'adah Mosque, Jelutung, Jambi City. The research employed an applied descriptive method with data collection techniques including observation, interviews, and documentation. The implementation of Microsoft Excel was carried out through stages of needs analysis, format design, mentoring, and evaluation. The results showed that the use of Microsoft Excel improved the accuracy of financial recording, accelerated the report preparation process, and enhanced the transparency and accountability of mosque fund management. The obstacles faced included limited human resources and the need for adaptation to the new system. This study concludes that Microsoft Excel can be an effective and affordable solution for digital-based mosque financial management, particularly for mosques with limited technological resources. Keywords: financial management; Microsoft Excel; mosque; transparency; accountability   Abstrak: Penelitian ini bertujuan untuk mengkaji pengaruh pemanfaatan Microsoft Excel dalam meningkatkan kualitas pengelolaan keuangan di Masjid As Sa'adah Jelutung Kota Jambi. Metode penelitian yang digunakan adalah deskriptif terapan dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Pengaruh Microsoft Excel dilakukan melalui tahapan analisis kebutuhan, perancangan format, pendampingan, dan evaluasi. Hasil penelitian menunjukkan bahwa penggunaan Microsoft Excel meningkatkan keakuratan pencatatan keuangan, mempercepat proses penyusunan laporan, serta meningkatkan transparansi dan akuntabilitas pengelolaan dana masjid. Kendala yang dihadapi antara lain keterbatasan sumber daya manusia dan perlunya adaptasi terhadap sistem baru. Penelitian ini menyimpulkan bahwa Microsoft Excel dapat menjadi solusi digitalisasi pengelolaan keuangan masjid yang efektif dan terjangkau, khususnya bagi masjid dengan keterbatasan sumber daya teknologi. Kata kunci: akuntabilitas; Microsoft Excel; pengelolaan keuangan; masjid; transparansi

Abstract: The rapid advancement of Large Language Models (LLMs) has significantly improved sentiment analysis capabilities. However, the extent to which these models produce sentiment classifications consistent with human judgment remains an important research question. This study aims to evaluate and compare the agreement of ChatGPT, Gemini, and DeepSeek with human-generated ground truth in sentiment analysis. A total of 1,497 product reviews were collected from the Sephora Products and Skincare Reviews dataset. Three independent annotators labeled each review as positive, neutral, or negative to establish the ground truth. The annotation reliability achieved a Fleiss' Kappa coefficient of 0.7053, indicating substantial agreement and confirming the reliability of the ground truth for evaluation purposes. Subsequently, the three LLMs performed sentiment classification using an Expectation–Role–Action (ERA) prompting strategy. Model performance was assessed using Cohen's Kappa to measure agreement with the ground truth and Spearman's rank correlation to evaluate the consistency of sentiment rankings. The results show that DeepSeek achieved the highest performance, with an average Cohen's Kappa of 0.753 and an average Spearman's correlation coefficient of 0.860, followed by Gemini (κ = 0.662; ρ = 0.834), while ChatGPT demonstrated the lowest agreement (κ = 0.223; ρ = 0.367). These findings indicate that the three LLMs exhibit significantly different levels of agreement with human judgment, with DeepSeek producing sentiment classifications that most closely align with the established ground truth.  Keywords: Large Language Models, Sentiment Analysis, Ground Truth, Cohen's Kappa, Spearman's Rank Correlation.   Abstrak: Perkembangan Large Language Models (LLMs) telah meningkatkan kemampuan analisis sentimen berbasis kecerdasan buatan. Namun, tingkat kesesuaian hasil klasifikasi sentimen yang dihasilkan oleh berbagai LLM terhadap penilaian manusia masih memerlukan evaluasi yang komprehensif. Penelitian ini bertujuan membandingkan tingkat kesesuaian hasil analisis sentimen ChatGPT, Gemini, dan DeepSeek terhadap ground truth yang diperoleh melalui anotasi manusia. Penelitian menggunakan 1.497 ulasan produk dari dataset Sephora Products and Skincare Reviews. Sebanyak tiga anotator independen melakukan pelabelan sentimen ke dalam kategori positif, netral, dan negatif untuk membentuk ground truth. Hasil pengujian reliabilitas menunjukkan nilai Fleiss' Kappa sebesar 0,7053, yang mengindikasikan tingkat kesepakatan Substantial Agreement, sehingga ground truth layak digunakan sebagai acuan evaluasi. Selanjutnya, ketiga model LLM melakukan klasifikasi sentimen menggunakan prompt berbasis Expectation–Role–Action (ERA). Tingkat kesesuaian hasil klasifikasi dievaluasi menggunakan Cohen's Kappa, sedangkan konsistensi hubungan dengan ground truth dianalisis menggunakan korelasi Spearman. Hasil penelitian menunjukkan bahwa DeepSeek memberikan performa terbaik dengan rata-rata Cohen's Kappa sebesar 0,753 dan rata-rata korelasi Spearman sebesar 0,860, diikuti oleh Gemini (κ = 0,662; ρ = 0,834), sedangkan ChatGPT memperoleh tingkat kesesuaian terendah (κ = 0,223; ρ = 0,367). Temuan ini menunjukkan bahwa terdapat perbedaan kemampuan interpretasi sentimen antar model LLM, dengan DeepSeek menghasilkan klasifikasi yang paling mendekati penilaian manusia pada dataset yang digunakan. Kata kunci: Large Language Model, Analisis Sentimen, Ground Truth, Cohen's Kappa, Spearman Correlation.

Abstract: This study aims to examine the influence of Job Security and Organizational Support on Employee Performance from managerial and legal perspectives. A quantitative approach was employed involving employees of medium and large-scale companies in Asahan Regency. Data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that both Job Security and Organizational Support have a positive and significant effect on Employee Performance, with Organizational Support emerging as the strongest predictor. These results highlight that integrating effective human resource management practices with compliance with employment regulations plays a vital role in improving employee performance. Keywords: Employee Performance; Employment Law; Job Security; Organizational Support; Human Resource Management.   Abstrak: Penelitian ini bertujuan menganalisis pengaruh Kepastian Status Kerja dan Dukungan Organisasi terhadap Kinerja Karyawan melalui pendekatan manajerial dan yuridis. Penelitian menggunakan metode kuantitatif dengan sampel karyawan perusahaan skala menengah dan besar di Kabupaten Asahan. Data dianalisis menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa Kepastian Status Kerja dan Dukungan Organisasi berpengaruh positif serta signifikan terhadap Kinerja Karyawan, dengan Dukungan Organisasi sebagai faktor yang paling dominan. Temuan ini menegaskan bahwa sinergi antara praktik manajemen sumber daya manusia dan kepatuhan terhadap regulasi ketenagakerjaan berperan penting dalam meningkatkan kinerja karyawan. Kata kunci: Dukungan Organisasi; Hukum Ketenagakerjaan; Kepastian Status Kerja; Kinerja Karyawan; Manajemen Sumber Daya Manusia.

Abstract: The development of information technology has significantly contributed to improving efficiency and effectiveness in various sectors, including education. One of the essential aspects of school management is the administration of tuition fee (SPP) payments, which in many cases is still carried out manually. This manual process often leads to several problems such as delays in recording, administrative errors, and lack of information transparency. This study aims to design and develop a web-based information system for managing SPP payments at SMK Rahmat Islamiyah Medan using the Rapid Application Development (RAD) method. RAD was chosen because it enables faster system development through iterative phases including planning, requirements analysis, prototype design, implementation, and continuous evaluation based on user feedback. The system provides key features such as student data management, billing management, payment transaction recording, and real-time payment reports. With this system, the school can manage tuition fee payments more effectively, accurately, and transparently, while parents are able to easily monitor their child’s payment status online. The testing results indicate that the system minimizes recording errors, accelerates administrative processes, and improves user satisfaction. Therefore, the web-based SPP payment information system designed using the RAD method is expected to support a more modern, efficient, and accountable financial management process within the school. Keywords: Information System, Tuition Fee Payment, Web-Based, Rapid Application Development (RAD), SMK Rahmat Islamiyah Medan.   Abstrak: Perkembangan teknologi informasi telah memberikan kontribusi signifikan dalam peningkatan efisiensi dan efektivitas pelayanan di berbagai bidang, termasuk sektor pendidikan. Salah satu aspek penting dalam manajemen sekolah adalah pengelolaan pembayaran Sumbangan Pembinaan Pendidikan (SPP) yang sering kali masih dilakukan secara manual, sehingga menimbulkan berbagai kendala seperti keterlambatan pencatatan, kesalahan administrasi, dan kurangnya transparansi informasi. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pembayaran tagihan SPP berbasis web di SMK Rahmat Islamiyah Medan dengan menggunakan metode Rapid Application Development (RAD). Metode RAD dipilih karena mampu mempercepat proses pengembangan sistem melalui tahapan perencanaan, analisis kebutuhan, perancangan prototipe, implementasi, serta evaluasi secara berulang berdasarkan umpan balik pengguna. Sistem yang dibangun menyediakan fitur utama berupa pencatatan data siswa, pengelolaan tagihan, pencatatan transaksi pembayaran, serta penyediaan laporan pembayaran secara real-time. Dengan adanya sistem ini, pihak sekolah dapat melakukan pengelolaan pembayaran SPP secara lebih efektif, akurat, dan transparan, sementara orang tua siswa dapat dengan mudah memantau status pembayaran secara online. Hasil pengujian menunjukkan bahwa sistem informasi ini dapat meminimalisasi kesalahan pencatatan, mempercepat proses administrasi, serta meningkatkan kepuasan pengguna. Dengan demikian, sistem informasi pembayaran SPP berbasis web yang dirancang menggunakan metode RAD diharapkan mampu mendukung proses manajemen keuangan sekolah yang lebih modern, efisien, dan akuntabel. Kata kunci: Sistem Informasi, Pembayaran SPP, Web, Rapid Application Development (RAD), SMK Rahmat Islamiyah Medan.

Penelitian ini bertujuan untuk mengevaluasi kinerja dan menyempurnakan model Sistem Pendukung Keputusan (SPK) dalam pemilihan pegawai teladan menggunakan metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Penelitian dilakukan karena adanya keterbatasan pada sistem sebelumnya, terutama dalam pembobotan kriteria dan belum adanya evaluasi kinerja sistem secara menyeluruh. Metode yang digunakan adalah TOPSIS dengan tahapan normalisasi matriks keputusan, pembobotan kriteria, penentuan solusi ideal positif dan negatif, perhitungan jarak, serta penentuan nilai preferensi untuk perangkingan. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan peringkat pegawai secara objektif dan sistematis berdasarkan berbagai kriteria. Setelah dilakukan penyempurnaan melalui penyesuaian bobot dan validasi data, kinerja sistem mengalami peningkatan yang ditunjukkan dengan hasil yang lebih konsisten, akurat, dan sesuai dengan kondisi nyata. Model yang telah disempurnakan mampu mendukung pengambilan keputusan secara lebih efektif. Dengan demikian, evaluasi dan penyempurnaan model SPK berbasis TOPSIS berkontribusi dalam meningkatkan kualitas dan keandalan keputusan.