This study aims to analyze the textual dimensions of a news article titled “Ojol Drivers Shut Down Apps; Beware of Traffic Jams in Jakarta During Today’s Protest,” published by CNN Indonesia, using Teun A. van Dijk’s critical discourse analysis model. This study employs a descriptive qualitative approach using a documentary method to analyze the online news text. The analysis focuses on three main structures: macrostructure, superstructure, and microstructure. The results show that at the macro level, the news theme centers on a large-scale demonstration by online motorcycle taxi drivers as a form of protest against government policies and digital transportation apps. At the superstructure level, the news framing highlights social impacts such as traffic congestion and transportation disruptions as the primary focus, while substantive demands are placed at the end. At the microstructure level, the use of active sentences emphasizes the role of online motorcycle taxi drivers as social actors, whereas passive sentences tend to neutralize the role of authorities. Lexical choices such as “shutting down the app” function metaphorically as a symbol of digital resistance. Additionally, rhetorical elements such as bold and italicized text reinforce ideological emphasis. These findings confirm that media language plays a role in shaping public perception, thus the need to develop critical awareness of discourse structures in language education and media literacy.

This study aims to analyze the transfer of knowledge on making palembang pempek as an initial strategy for strengthening community-based culinary MSMEs in Kampung Saujana Baru, Johor Bahru. The study was conducted using a Participatory Action Research approach involving 20 participants consisting of community leaders and housewives interested in home-based businesses. Data were collected through observation, semi-structured interviews, documentation, and participatory evaluation during the stages of preliminary observation, program socialization, production training, hands-on practice, and reflective evaluation. The results showed that the program was well implemented and received positive responses from participants, who were actively involved throughout the entire process. The activity contributed to improving participants’ understanding of ingredient selection, basic production stages, processing hygiene, and product diversification opportunities to support household economic activities. In addition, palembang pempek has the potential to be adapted as an alternative culinary product in the local setting because the raw materials are relatively accessible, the production process can be carried out on a small scale, and the taste can be adjusted to local community preferences. Therefore, the transfer of knowledge in making Palembang pempek can be positioned as a strategic initial step in strengthening home-based culinary MSMEs.

This study aims to analyze the effect of AI as an online tutor and digital literacy on students’ learning comprehension. The research employed a quantitative approach with an explanatory survey design involving 100 students from the PGMI Study Program at IAIN Curup. The research instrument was a Likert-scale questionnaire measuring three main constructs: AI as an online tutor, digital literacy, and learning comprehension. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test validity, reliability, and the structural relationships among variables. The results indicate that AI as an online tutor has a positive and significant effect on learning comprehension (? = 0.425; p < 0.000). Digital literacy also has a positive and significant effect on learning comprehension (? = 0.476; p < 0.000). The R-square value of 0.699 shows that 69.9% of the variance in learning comprehension can be explained by these two independent variables. Overall, this study confirms that the integration of AI-based technology, supported by students’ digital literacy skills, can enhance the quality of learning comprehension in higher education.

This study aims to analyze the history of language, language status, and language functions of Indonesian, as well as its transformation in the digital era. The research employs a descriptive qualitative approach supported by digital corpus analysis of 150 text data collected from social media and online platforms. The findings reveal that the Indonesian language originated from Malay and has developed into both a national and official language with symbolic, instrumental, and integrative functions. However, in digital communication practices, a significant shift in language use is observed. The data indicate that standard language usage accounts for only 38%, while non-standard forms (27%), code-mixing (19%), slang (11%), and excessive abbreviations (5%) dominate. These findings demonstrate a gap between normative linguistic standards and actual language practices in digital spaces. Nevertheless, this phenomenon also reflects the adaptability of the Indonesian language to technological developments and modern communication needs. The novelty of this study lies in the integration of language history, language status, and language functions with an empirical approach based on digital corpus analysis, as well as the introduction of the concept of digital communicative function as an extension of language function theory. This study implies the need to strengthen language literacy and adaptive language policies in the digital era.

Indonesian language instruction within tertiary educational institutions in Indonesia encounters a significant hurdle due to students' inadequate literacy capabilities. A potential method to address this issue is the integration of deep learning techniques to enhance language proficiency. This research This research is designed to investigate the implementation of deep learning in the acquisition of the Indonesian language, emphasizing aspects such as historical analysis of the language, spelling verification (EYD), selection of words (diction), arrangement of paragraphs, and scientific writing conventions. The approach employed is a Systematic Literature Review (SLR), aiming to pinpoint and compile existing research pertinent to the use of deep learning in educational settings. Findings indicate that utilizing deep learning can serve as an effective strategy for boosting students' comprehension of the rules governing the Indonesian language through automated feedback that aids in refining spelling, sentence construction, and vocabulary selection. This methodology not only expedites the educational process but also elevates the quality of writing while facilitating the enhancement of students' skills in scientific writing. Deep learning offers a more engaging and relevant framework for studying the Indonesian language at the university level.

Abstract: Tracer study is an important instrument for evaluating graduate quality and curriculum relevance to labor market needs. This study aims to analyze tracer study data using the K-Means Clustering method to group alumni characteristics and support curriculum evaluation. The dataset consists of 100 records with a relatively balanced composition, including variables such as waiting time for employment, job-field relevance, initial salary, and graduate competencies. The analysis process includes preprocessing, clustering, and evaluation using Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index. The results show that the data are grouped into three clusters representing different levels of job readiness. A Silhouette Score of 0.17, Davies-Bouldin Index of 1.736, and Calinski-Harabasz Index of 23.5 indicate low to moderate clustering quality due to data heterogeneity and overlap between clusters. The findings highlight the need for curriculum improvement, particularly in enhancing technical and soft skills. Future research is recommended to use larger and more balanced datasets, include more diverse variables, and compare clustering methods to improve analysis quality. Keywords: K-Means Clustering, Tracer Study, Curriculum Evaluation, Data Mining. Abstrak: Tracer study merupakan instrumen penting dalam mengevaluasi kualitas lulusan dan relevansi kurikulum terhadap kebutuhan dunia kerja. Penelitian ini bertujuan untuk menganalisis data tracer study menggunakan metode K-Means Clustering untuk mengelompokkan karakteristik alumni serta mendukung evaluasi kurikulum. Data yang digunakan sebanyak 100 data dengan komposisi relatif seimbang, meliputi variabel waktu tunggu kerja, kesesuaian bidang kerja, pendapatan awal, serta kompetensi lulusan. Proses analisis meliputi preprocessing, clustering, dan evaluasi menggunakan Silhouette Score, Davies-Bouldin Index, dan Calinski-Harabasz Index. Hasil penelitian menunjukkan bahwa data terbagi menjadi tiga cluster dengan tingkat kesiapan kerja yang berbeda. Nilai Silhouette Score sebesar 0,17, Davies-Bouldin Index sebesar 1,736, dan Calinski-Harabasz Index sebesar 23,5 menunjukkan kualitas clustering rendah hingga sedang, yang disebabkan oleh sifat data yang heterogen dan adanya overlap antar cluster. Hasil ini mengindikasikan perlunya perbaikan kurikulum, khususnya pada peningkatan kompetensi teknis dan soft skills. Penelitian selanjutnya disarankan menggunakan data yang lebih banyak dan lebih seimbang, menambahkan variabel yang lebih beragam, serta membandingkan metode clustering untuk meningkatkan kualitas analisis. Kata Kunci: K-Means Clustering, Tracer Study, Evaluasi Kurikulum, Data Mining

Abstract: This study aims to determine and describe the implementation of embouchure techniques and longtone exercises in improving the alto saxophone playing ability of class XI students of SMA Negeri 2 Lintongnihuta. Embouchure technique, which is a coordinated mouth position that involves the lips, facial muscles, jaw, teeth, and chin to support the mouthpiece and reed vibration, so that the resulting tone is correct. Longtone exercises, which are exercises by holding one long note that is actively processed to improve stable intonation and breathing control. The problem in this study is that class XI students of SMA Negeri 2 Lintongnihuta who play alto saxophone still have difficulty in maintaining proper and clear intonation on each note played and the results achieved after implementing the technique. This study explains the practice process and the stages of implementing the technique to improve the ability to play the alto saxophone in accompanying the song "Tandai Ma Au" in weekly evangelism activities. The research method used is a qualitative approach with a descriptive approach to describe how the technique is implemented and its impact on improving students' alto saxophone playing ability. Data collection was conducted through in-depth interviews, observations, and field documentation. Research informants included eleventh-grade alto saxophone players and other relevant parties.The results showed that the application of proper embouchure techniques and structured longitudinal exercises were proven to improve students' precise intonation in saxophone playing. Through regular practice with the aid of a tuner and metronome, students were able to control their embouchure, strengthen their mouth muscles, and maintain pitch stability across various registers. This improvement was evident when these techniques were applied to the song "Tandai Ma Au" during church services.   Keyword: Alto Saxophone, Embouchure Technique, Longtone Practice, Intonation, Church Services   Abstrak: Penelitian ini bertujuan untuk mengetahui, mendiskripsikan implementasi teknik embouchure dan latihan longtone dalam meningkatkan kemampuan permainan saxophone alto pada siswa kelas XI SMA Negeri 2 Lintongnihuta. Teknik embouchure, yaitu posisi mulut yang terkoordinasi  yang melibatkan bibir, otot wajah, rahang, gigi, dan dagu untuk menopang mouthpiece dan getaran reed, agar nada yang dihasilkan tepat. Latihan longtone, yaitu latihan dengan menahan satu nada panjang yang berproses aktif untuk meningkatkan intonasi yang stabil, dan kontrol pernapasan. Permasalahan dalam penelitian ini adalah siswa kelas XI SMA Negeri 2 Lintongnihuta yang bermain saxophone alto masih mengalami kesulitan dalam menjaga intonasi yang tepat dan jelas pada setiap not yang dimainkan serta hasil yang dicapai setelah implementasi teknik tersebut. Penelitian ini mendeskripsikan proses latihan dan tahapan-tahapan penerapan teknik tersebut untuk meningkatkan kemampuan bermain saxophone alto dalam mengiringi lagu "Tandai Ma Au" pada kegiatan evangelisasi mingguan. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan pendekatan deskriptif untuk menggambarkan bagaimana tenik tersebut di implementasikan dan dampaknya terhadap meningkatkan  kemampuan permainan saxophone alto siswa. Pengumpulan data dilakukan melalui wawancara mendalam, observasi, dan dokumentasi dilapangan. Informan penelitian meliputi siswa kelas XI yang bermain saxophone alto serta pihak terkait lainnya. Hasil penelitian menunjukkan bahwa penerapan teknik _Embouchure_ yang tepat serta latihan _longtone_ yang terstruktur terbukti mampu meningkatkan ketepatan intonasi dalam permainan saxophone siswa. Melalui latihan yang dilakukan secara rutin dengan bantuan tuner dan _metronom_ , siswa dapat mengontrol embouchure, memperkuat otot mulut, dan menjaga kestabilan nada pada berbagai register. Peningkatan tersebut terlihat ketika teknik ini diterapkan dalam permainan lagu “ _Tandai Ma Au_ ” pada kegiatan ibadah di gereja.   Kata kunci: Saxophone Alto,Teknik Embouchure, Latihan Longtone, Intonasi, Ibadah Gereja

Rokan Hulu Regency possesses significant natural and cultural tourism potential; however, tourist visitation rates remain relatively low due to the lack of integrated destination information and concerns regarding environmental sustainability. This study aims to design and develop SMART TOUR, a sequence-prediction–based tourism recommendation system utilizing a deep learning approach. The system is designed to learn tourist travel patterns based on their visitation history by employing a dual-input Long Short-Term Memory (LSTM) model that integrates location and activity data. To address the limitations of real-world data, a synthetic dataset was constructed in a realistic manner by considering tourist preferences, inter-location distances, visit duration, and the popularity of tourist attractions. Experimental results indicate that the proposed recommendation system achieves competitive performance, with a Top-1 Accuracy of 39.7%, Top-3 Accuracy of 76.2%, and Top-5 Accuracy reaching 92.4%. Evaluation was conducted using the Top-K Accuracy approach, which is considered most relevant in the context of recommendation systems as it reflects user behavior in selecting from multiple alternatives. This study demonstrates that integrating LSTM models with predictive techniques can enhance the quality of tourism recommendations and support the development of more environmentally friendly and sustainable tourism practices. SMART TOUR is expected to serve as an innovative solution to strengthen the tourism appeal of Rokan Hulu and empower local communities through the adoption of technology.

Abstract: In PT. Pupuk Indonesia, Sumbagut sales area, this study aims to identify and analyze the impact of transformational leadership, intrinsic motivation, and work stress on employee performance. This type of research uses quantitative research methods. The research sample is forty employees. Data analysis uses multiple linear regression analysis, t-test, f-test, and coefficient of determination. The results of the analysis show the results of the simultaneous test with a calculated F value of 55.164 and a Sig. value of 0.000. It is known that the calculated F value of 55.164> F table 2.87 and the Sig. value of 0.000 <0.05, which indicates that transformational leadership, intrinsic motivation, and work stress have a significant impact on employee performance both simultaneously and simultaneously. Based on the results of the t-hypothesis test, it can be concluded that transformational leadership has a significant effect on employee performance, intrinsic motivation has a significant effect on employee performance, and work stress has a significant effect on employee performance. The coefficient of determination, or adjusted r-squared value, was found to be 0.806, or 80.6% for transformational leadership, intrinsic motivation, and job stress on employee performance, while 19.4% was the impact of other variables not included in this study.   Keywords: Transformational Leadership, Intrinsic Motivation, Work Stress, Employee Performancen.   Abstrak: Dalam PT. Pupuk Indonesia, wilayah penjualan Sumbagut, penelitian ini bertujuan untuk mengidentifikasi dan menganalisis dampak kepemimpinan transformasional, motivasi intrinsik, dan stres kerja terhadap kinerja karyawan. Jenis penelitian ini menggunakan metode penelitian kuantitatif. Sampel penelitian adalah empat puluh karyawan. Analisis data menggunakan analisis regresi linier berganda, uji t, uji f, dan koefisien determinasi. Hasil analisis menunjukkan hasil uji simultan dengan nilai F hitung sebesar 55,164 dan nilai Sig. sebesar 0,000. Diketahui bahwa nilai F hitung 55,164 > F tabel 2,87 dan nilai Sig. 0,000 < 0,05, yang menunjukkan bahwa kepemimpinan transformasional, motivasi intrinsik, dan stres kerja memiliki dampak signifikan terhadap kinerja karyawan baik secara bersamaan maupun simultan. Berdasarkan hasil uji hipotesis t, dapat disimpulkan bahwa kepemimpinan transformasional berpengaruh signifikan terhadap kinerja karyawan, motivasi intrinsik berpengaruh signifikan terhadap kinerja karyawan, dan stres kerja berpengaruh signifikan terhadap kinerja karyawan. Koefisien determinasi, atau nilai r-kuadrat yang disesuaikan, ditemukan sebesar 0,806, atau 80,6% untuk kepemimpinan transformasional, motivasi intrinsik, dan stres kerja pada kinerja pegawai, sedangkan 19,4% adalah dampak dari variabel lain yang tidak termasuk dalam penelitian ini.   Kata kunci: Kepemimpinan Transformasional, Motivasi Intrinsick, Stres Kerja Kinerja Pegawai.

Abstract: This study aims to analyze the effect of implementing accounting information systems based on big data and digital technology on the quality of accounting information and decision-making performance in modern organizations. This research employs a quantitative approach using a survey method through questionnaires distributed to respondents who are users of accounting information systems. The data analysis technique used is Structural Equation Modeling (SEM) to examine the relationships among variables. The results indicate that the implementation of accounting information systems has a positive and significant effect on the quality of accounting information and decision-making performance. Furthermore, the quality of accounting information also significantly influences decision-making performance. These findings suggest that the utilization of digital technology in accounting information systems enhances the quality of information and improves decision-making effectiveness. Therefore, modern organizations need to optimize the use of technology in accounting information systems to improve overall organizational performance.   Keywords: Accounting Information Systems, Big Data, Decision Making   Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh implementasi sistem informasi akuntansi berbasis big data dan teknologi digital terhadap kualitas informasi akuntansi dan kinerja pengambilan keputusan pada organisasi modern. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei melalui penyebaran kuesioner kepada responden yang merupakan pengguna sistem informasi akuntansi. Teknik analisis data yang digunakan adalah Structural Equation Modeling (SEM) untuk menguji hubungan antar variabel. Hasil penelitian menunjukkan bahwa implementasi sistem informasi akuntansi berpengaruh positif dan signifikan terhadap kualitas informasi akuntansi serta kinerja pengambilan keputusan. Selain itu, kualitas informasi akuntansi juga terbukti berpengaruh signifikan terhadap kinerja pengambilan keputusan. Temuan ini mengindikasikan bahwa pemanfaatan teknologi digital dalam sistem informasi akuntansi dapat meningkatkan kualitas informasi yang dihasilkan serta efektivitas pengambilan keputusan. Oleh karena itu, organisasi modern perlu mengoptimalkan penggunaan teknologi dalam sistem informasi akuntansi guna meningkatkan kinerja organisasi secara keseluruhan.   Kata Kunci: Sistem Informasi Akuntansi, Big Data, Pengambilan Keputusan

The development of Artificial Intelligence (AI) has brought significant transformations in various sectors, including health information management. The integration of AI in health data management not only improves operational efficiency but also opens up strategic opportunities in digital business development in the healthcare sector. This study aims to analyze the role of AI in health information management and its impact on optimizing digital business strategies. The method used is a qualitative approach with a systematic literature review of various recent scientific publications (2020–2025) relevant to the research topic. Data were analyzed using thematic analysis techniques to identify patterns, trends, and contributions of AI in health information management. The results show that the application of AI, such as machine learning, natural language processing, and predictive analytics, can improve data processing accuracy, accelerate decision-making, and support personalized healthcare services. In addition, AI plays a role in increasing operational cost efficiency and creating innovative digital business models, such as telemedicine and intelligent-based electronic medical record systems. However, challenges related to data security, patient privacy, and infrastructure and human resource readiness remain major obstacles to its implementation. In conclusion, AI has a strategic role in improving the quality of health information management while strengthening the competitiveness of digital businesses in the healthcare sector. Therefore, adaptive policies, improved human resource competencies, and strengthened information security systems are needed to support the sustainable implementation of AI.

Abstract: Instant messaging platforms are frequently involved in cyber incidents, including attacker coordination, credential sharing, and post-compromise extortion. This study develops a digital forensic investigation framework for WhatsApp Web and Telegram to support hacking investigation through artifact mapping, evidence acquisition, and chain of custody management. The method uses a focused literature review, scenario-based investigation design, and comparative analysis of artifacts across browser, operating system, and application layers. The results produce an artifact taxonomy, an acquisition decision matrix covering logical, file-system, and memory approaches, and concise standard operating procedures to preserve evidence integrity, traceability, and reproducibility. The proposed framework can support institutional incident response teams, internal investigators, and digital forensic practitioners in improving evidence quality and investigation effectiveness.   Keywords: Digital Forensics; Whatsapp Web; Telegram; Chain of Custody; Cyber Incident.   Abstrak:  Aplikasi pesan instan sering terlibat dalam insiden keamanan siber, termasuk koordinasi serangan, distribusi kredensial hasil kompromi, dan pemerasan pascainsiden. Penelitian ini mengembangkan kerangka investigasi forensik digital pada WhatsApp Web dan Telegram untuk mendukung hacking investigation melalui pemetaan artefak, akuisisi bukti, dan pengelolaan chain of custody. Metode yang digunakan berupa studi literatur terarah, perancangan skenario investigasi, dan analisis perbandingan artefak pada lapisan browser, sistem operasi, dan aplikasi. Hasil penelitian menghasilkan taksonomi artefak, matriks keputusan akuisisi yang mencakup pendekatan logis, file- system, dan memori, serta prosedur operasional ringkas untuk menjaga integritas, keterlacakan, dan reprodusibilitas bukti. Kerangka yang diusulkan dapat membantu tim respons insiden, penyidik internal, dan praktisi forensik digital dalam meningkatkan kualitas bukti dan efektivitas investigasi.   Kata Kunci: Digital Forensics; Whatsapp Web; Telegram; Chain of Custody; Insiden Siber

Abstract: This study aims to segment K Drama viewers based on genre preferences and viewing duration in order to obtain a deeper understanding of audience behavior characteristics. Audience segmentation is essential as a foundation for formulating more targeted content development and marketing strategies. This research employs the K Means method as a clustering technique in data analysis by utilizing viewer data classified according to favorite genres and viewing duration. The clustering process was conducted through several stages, including the determination of the optimal number of clusters and the analysis of the resulting cluster centroids. The results indicate that K Drama viewers can be grouped into several segments with distinct characteristics in terms of genre preferences and viewing intensity. Each cluster represents a specific viewing behavior pattern and demonstrates significant variations in preferences across segments. The conclusion of this study shows that the application of the K Means method is effective in providing a systematic and objective segmentation of K Drama viewers. Therefore, the findings of this research can be utilized as a reference for decision making in content development and marketing strategies within the entertainment industry.   Keywords: K Drama; audience segmentation; genre preference; viewing duration; K Means   Abstrak: Penelitian ini bertujuan untuk melakukan segmentasi penonton K Drama berdasarkan preferensi genre dan durasi menonton guna memperoleh pemahaman yang lebih mendalam mengenai karakteristik perilaku audiens. Segmentasi penonton diperlukan sebagai dasar dalam perumusan strategi konten dan pemasaran yang lebih tepat sasaran. Metode yang digunakan dalam penelitian ini adalah metode K Means sebagai salah satu teknik clustering pada analisis data, dengan memanfaatkan data penonton yang diklasifikasikan berdasarkan genre favorit dan durasi menonton. Proses pengelompokan dilakukan melalui beberapa tahapan, mulai dari penentuan jumlah klaster hingga analisis pusat klaster yang terbentuk. Hasil penelitian menunjukkan bahwa penonton K Drama dapat dikelompokkan ke dalam beberapa segmen yang memiliki karakteristik berbeda, baik dari sisi kecenderungan genre yang diminati maupun intensitas durasi menonton. Setiap klaster merepresentasikan pola perilaku penonton yang spesifik dan menunjukkan adanya variasi preferensi yang signifikan antarsegmen. Simpulan dari penelitian ini menunjukkan bahwa penerapan metode K Means mampu memberikan gambaran segmentasi penonton K Drama secara sistematis dan objektif, sehingga hasil penelitian ini dapat dimanfaatkan sebagai dasar pengambilan keputusan dalam pengembangan konten dan strategi pemasaran industri hiburan.   Kata kunci: K Drama; segmentasi penonton; genre favorit; durasi menonton; K Means

Abstract: "The shelf life of a food product is the period during which the product remains safe and maintains its sensory, chemical, physical, and microbiological quality according to expected standards. For semi-moist products such as dodol, key facto rs affecting shelf life include moisture content, water activity (aw), pH, the presence of microorganisms (mold/yeast), packaging conditions, and storage temperature. Hedonic testing is a sensory evaluation method conducted to determine the level of consumer preference for a product. Both the flesh and peel of red dragon fruit contain betalain pigments (betacyanins) and phenolic compounds that function as natural antioxidants. Utilizing the peel can reduce agricultural waste while enhancing the nutritional aspects and oxidative stability of the product. Therefore, comparing the extract of red dragon fruit flesh and peel in dodol products is relevant from the perspectives of food technology and sustainability. This assessment covers shape, color, aroma, texture, and taste, evaluated based on a subjective scale. This study aims to analyze the differences in shelf life and acceptability (hedonic test) between dodol using red dragon fruit flesh and peel extracts. The research method employed is a mixed method, combining descriptive qualitative analysis for shelf-life observation and quantitative analysis for the hedonic test with 50 panelists. The results showed that the optimal shelf life of the product is 10-12 days at room temperature. Statistical tests indicated that significant differences were only found in the color variable, while aroma, texture, and taste showed no significant differences between the two types of dodol."   Keywords: dodol; red dragon fruit flesh; red dragon fruit peel; shelf life; hedonic test.   Abstrak: Umur simpan suatu produk pangan adalah periode di mana produk tersebut tetap aman dan mempertahankan mutu sensori, kimiawi, fisik, dan mikrobiologis sesuai standar yang diharapkan. Untuk produk semi-basah seperti dodol, faktor-faktor kunci yang mempengaruhi umur simpan meliputi kadar air, aktivitas air (a_w), pH, keberadaan mikroorganisme (jamur/yeast), kondisi pengemasan, dan suhu penyimpanan. Uji hedonik adalah metode evaluasi sensori yang dilakukan untuk mengetahui seberapa besar tingkat kesukaan seseorang terhadap suatu produk. Daging dan kulit buah naga merah mengandung pigmen betalain (betasianin) dan senyawa fenolik yang berfungsi sebagai antioksidan alami. Pemanfaatan kulit dapat menurunkan limbah pertanian sekaligus menambah aspek nutrisi dan stabilitas oksidatif produk. Oleh karenanya, membandingkan ekstrak daging dan ekstrak kulit buah naga merah pada produk dodol relevan dari sisi teknologi pangan dan keberlanjutan. Penilaian ini mencakup bentuk, warna, aroma, tekstur dan rasa yang dinilai berdasarkan skala subjektif. Penelitian ini bertujuan untuk menganalisis perbedaan umur simpan dan daya terima (uji hedonik) antara dodol yang menggunakan ekstrak daging dan kulit buah naga merah. Metode penelitian yang digunakan adalah mixed method yang menggabungkan analisis kualitatif deskriptif untuk pengamatan umur simpan dan kuantitatif untuk uji hedonik dengan 50 panelis. Hasil penelitian menunjukkan bahwa masa simpan optimal produk adalah 10-12 hari pada suhu ruang. Uji statistik menunjukkan perbedaan signifikan hanya ditemukan pada variabel warna, sementara aroma, tekstur, dan rasa tidak menunjukkan perbedaan signifikan antara kedua jenis dodol tersebut.   Kata kunci: dodol; daging buah naga; kulit buah naga; umur simpan; uji hedonik

Abstract: The rapid development of sustainability issues has encouraged organizations to integrate Environmental, Social, and Governance (ESG) principles into their business strategies in a more systematic and measurable manner. This integration is not only aimed at complying with regulatory requirements but also at enhancing long-term corporate value and maintaining stakeholder trust. In this context, information systems play a crucial role as key enablers in managing the complexity of diverse and dynamic ESG data. With appropriate technological support, organizations can improve the quality of reporting while ensuring transparency and accountability in all business activities. This study employs a literature review method with a qualitative approach to analyze the role of information systems in supporting sustainable strategies. The findings indicate that integrated information systems can enhance data accuracy, accelerate information processing, and support more precise and data-driven decision-making. Furthermore, the implementation of ESG information systems provides positive impacts, including operational efficiency, competitive advantage, and increased trust from investors and other stakeholders.   Keywords: ESG, information systems, sustainable strategy, decision-making, strategic management   Abstrak: Perkembangan isu keberlanjutan yang semakin pesat telah mendorong organisasi untuk mengintegrasikan prinsip Environmental, Social, and Governance (ESG) ke dalam strategi bisnis mereka secara lebih sistematis dan terukur. Integrasi ini tidak hanya bertujuan untuk memenuhi tuntutan regulasi, tetapi juga untuk meningkatkan nilai jangka panjang perusahaan serta menjaga kepercayaan pemangku kepentingan. Dalam konteks ini, sistem informasi berperan sebagai enabler utama yang mampu mengelola kompleksitas data ESG yang beragam dan dinamis. Dengan dukungan teknologi yang tepat, organisasi dapat meningkatkan kualitas pelaporan serta memastikan transparansi dan akuntabilitas dalam setiap aktivitas bisnisnya. Penelitian ini menggunakan metode studi literatur dengan pendekatan kualitatif untuk menganalisis peran sistem informasi dalam mendukung strategi berkelanjutan. Hasil kajian menunjukkan bahwa sistem informasi yang terintegrasi mampu meningkatkan akurasi data, mempercepat proses pengolahan informasi, serta mendukung pengambilan keputusan yang lebih tepat dan berbasis data. Selain itu, implementasi sistem informasi ESG juga memberikan dampak positif berupa efisiensi operasional, keunggulan kompetitif, dan peningkatan kepercayaan investor serta stakeholder lainnya.   Kata kunci: ESG, sistem informasi, strategi berkelanjutan, pengambilan keputusan, manajemen strategis

Corruption remains an extraordinary crime that systematically undermines the integrity of Indonesia's legal and social institutions. The prevalence of corruption among law-educated professionals reveals a critical failure in legal education. This study employs a design-and-development approach through Systematic Literature Review (SLR) with thematic-narrative analysis of 23 peer-reviewed sources (2021–2026), with the goal of designing an original conceptual model the Legal Integrity Development Model (LIDM). The LIDM integrates three mutually reinforcing pillars: (1) legal-moral cognition, which builds ethical understanding through real legal cases; (2) clinical legal simulation, which trains moral decision-making in authentic professional scenarios; and (3) institutional integrity climate, which actively constructs the campus ecosystem as a living laboratory of anti-corruption values. The findings establish that integrity is a multidimensional construct cognitive, affective, and conative that cannot be developed through fragmented, theory-only approaches. The LIDM addresses this gap by offering a scientifically grounded and operationally applicable framework, contributing a new testable model for anti-corruption legal education in Indonesia.

Abstract: This study aims to analyze the role of Digital Customer Relationship Management (Digital CRM) in enhancing customer loyalty and brand image as a strategic pathway to strengthen the economic resilience of MSMEs in the post-digital era. This study uses a quantitative approach with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method based on data from 100 MSME customers. The results show that Digital CRM has a positive and significant effect on customer satisfaction (? = 0.741; p < 0.001) and customer loyalty (? = 0.266; p = 0.016). Customer satisfaction also has a significant effect on loyalty (? = 0.592; p < 0.001), while loyalty has a significant effect on brand image (? = 0.696; p < 0.001). The model has moderate to strong explanatory power, with R² values of 0.549 for satisfaction, 0.656 for loyalty, and 0.484 for brand image. These findings indicate that effective Digital CRM implementation can strengthen long-term relationships with customers, enhance brand image, and contribute to the economic resilience of MSMEs in a dynamic business environment.   Keywords: Digital CRM; Customer Satisfaction; Customer Loyalty; Brand Image; Economic Resilience.   Abstrak: Penelitian ini bertujuan menganalisis peran Digital Customer Relationship Management (Digital CRM) dalam meningkatkan loyalitas pelanggan dan citra merek sebagai jalur strategis untuk memperkuat ketahanan ekonomi UMKM di era post-digital. Penelitian ini menggunakan pendekatan kuantitatif dengan metode Partial Least Squares Structural Equation Modeling (PLS-SEM) berdasarkan data dari 100 pelanggan UMKM. Hasil penelitian menunjukkan bahwa Digital CRM berpengaruh positif dan signifikan terhadap kepuasan pelanggan (? = 0,741; p < 0,001) dan loyalitas pelanggan (? = 0,266; p = 0,016). Kepuasan pelanggan juga berpengaruh signifikan terhadap loyalitas (? = 0,592; p < 0,001), sementara loyalitas berpengaruh signifikan terhadap citra merek (? = 0,696; p < 0,001). Model memiliki daya jelas sedang hingga kuat, dengan nilai R² sebesar 0,549 untuk kepuasan, 0,656 untuk loyalitas, dan 0,484 untuk citra merek. Temuan ini menunjukkan bahwa implementasi Digital CRM yang efektif mampu memperkuat hubungan jangka panjang dengan pelanggan, meningkatkan citra merek, serta berkontribusi terhadap ketahanan ekonomi UMKM dalam lingkungan bisnis yang dinamis.   Kata kunci: CRM Digital; Kepuasan Pelanggan; Loyalitas Pelanggan; Citra Merek; Ketahanan Ekonomi.

Abstract: This research aims to examine the paradigm shift from competitive advantage to adaptive advantage in strategic management in the midst of an increasingly dynamic and uncertain business environment. The method used is a qualitative approach through narrative literature review of contemporary strategic management literature. The results show that competitive advantage is relatively static and less responsive to change, while adaptive advantage emphasizes the organization's ability to adapt sustainably through dynamic capabilities and strategic agility. This research proposes a conceptual model that integrates environmental turbulence, dynamic capabilities, and organizational agility. The contribution of this research is to provide a new, more contextual perspective in the development of strategic management in the digital age.   Keywords: adaptive advantage; dynamic capabilities; strategic agility; environmental turbulence; strategic management.   Abstrak: Penelitian ini bertujuan untuk mengkaji pergeseran paradigma dari keunggulan kompetitif menuju keunggulan adaptif dalam manajemen strategik di tengah lingkungan bisnis yang semakin dinamis dan tidak pasti. Metode yang digunakan adalah pendekatan kualitatif melalui narrative literature review terhadap literatur manajemen strategik kontemporer. Hasil penelitian menunjukkan bahwa keunggulan kompetitif bersifat relatif statis dan kurang responsif terhadap perubahan, sedangkan keunggulan adaptif menekankan kemampuan organisasi dalam beradaptasi secara berkelanjutan melalui dynamic capabilities dan strategic agility. Penelitian ini mengusulkan model konseptual yang mengintegrasikan environmental turbulence, dynamic capabilities, dan organizational agility. Kontribusi penelitian ini adalah memberikan perspektif baru yang lebih kontekstual dalam pengembangan manajemen strategik di era digital..   Kata kunci: keunggulan adaptif; kemampuan dinamis; kelincahan strategis; turbulensi lingkungan; manajemen strategik

Abstract: This study aims to analyze the role of fisheries extension workers to business actors in the formation of fisheries groups in Lubuklinggau City. The research method uses a quantitative approach with a Likert scale questionnaire instrument which was distributed to 30 respondents of fisheries business actors. The data was analyzed descriptively to determine the level of role of fisheries extension workers which included four indicators (facilitators, motivators, communicators, and mentors) and the level of fisheries group formation which included three aspects (institutional, administrative and legality, as well as benefits and sustainability). The results of the study show that the role of fisheries extension workers is in a very high category with a total score of 2,913 out of a maximum score of 3,150. The formation of fisheries groups is also in the high category with a total score of 1,295 out of a maximum score of 1,800. There is a positive relationship between the role of fisheries extension workers and the formation of fisheries groups. This study recommends increasing the intensity of mentoring and strengthening the administrative aspects of the group to support the sustainability of fisheries groups in Lubuklinggau City.   Keywords: The Role of Extension Workers, Fisheries Groups, Business Actors, Lubuklinggau   Abstrak: Penelitian ini bertujuan untuk menganalisis peran penyuluh perikanan terhadap pelaku usaha dalam pembentukan kelompok perikanan di Kota Lubuklinggau. Metode penelitian menggunakan pendekatan kuantitatif dengan instrumen kuesioner skala Likert yang didistribusikan kepada 30 responden pelaku usaha perikanan. Data dianalisis secara deskriptif untuk mengetahui tingkat peran penyuluh perikanan yang meliputi empat indikator (fasilitator, motivator, komunikator, dan mentor) dan tingkat pembentukan kelompok perikanan yang mencakup tiga aspek (kelembagaan, administrasi dan legalitas, serta manfaat dan keberlanjutan). Hasil penelitian menunjukkan bahwa peran penyuluh perikanan berada dalam kategori yang sangat tinggi dengan total skor 2.913 dari skor maksimal 3.150. Pembentukan kelompok perikanan juga masuk kategori tinggi dengan total skor 1.295 dari skor maksimal 1.800. Ada hubungan positif antara peran penyuluh perikanan dengan pembentukan kelompok perikanan. Penelitian ini merekomendasikan peningkatan intensitas pendampingan dan penguatan aspek administrasi kelompok untuk mendukung keberlanjutan kelompok perikanan di Kota Lubuklinggau.   Kata Kunci: Peran Penyuluh, Kelompok Perikanan, Pelaku Usaha, Lubuklinggau

Abstract: This study aims to analyze the zakat management system in Morocco by comparing it with institutional zakat models in other Muslim countries such as Indonesia and Malaysia. The research uses a literature review method by examining various secondary sources including national and international scientific journals indexed in SINTA, Scopus, and Web of Science, as well as theses and dissertations from university repositories. The study focuses on institutional aspects, collection mechanisms, and zakat distribution along with their implications for poverty alleviation effectiveness. The results show that zakat practices in Morocco are still voluntary and not supported by a centralized institutional system, in contrast to countries such as Indonesia and Malaysia which have established official institutions and more structured management systems. This condition creates challenges in terms of transparency, accountability, and optimization of zakat distribution, thereby limiting its effectiveness in reducing poverty. In contrast, countries with centralized systems tend to have more efficient, coordinated, and measurable management. Therefore, this study recommends the establishment of a national zakat institution in Morocco that can integrate the collection and distribution processes in a professional, transparent, and accountable manner to enhance the role of zakat in social and economic development.   Keywords: Zakat Morocco, Zakat Institution, Transparency, Accountability, Poverty Alleviation Abstrak: Penelitian ini bertujuan untuk menganalisis sistem pengelolaan zakat di Maroko dengan membandingkannya dengan model kelembagaan zakat di beberapa negara Muslim lain seperti Indonesia dan Malaysia. Penelitian menggunakan metode tinjauan pustaka atau literature review dengan mengkaji berbagai sumber sekunder berupa jurnal ilmiah nasional dan internasional yang terindeks SINTA, Scopus, dan Web of Science, serta tesis dan disertasi dari repositori universitas. Fokus kajian terletak pada aspek kelembagaan, mekanisme pengumpulan, serta distribusi zakat dan implikasinya terhadap efektivitas pengentasan kemiskinan. Hasil penelitian menunjukkan bahwa praktik zakat di Maroko masih bersifat sukarela dan belum didukung oleh sistem kelembagaan yang terpusat, berbeda dengan negara seperti Indonesia dan Malaysia yang telah memiliki lembaga resmi dan sistem pengelolaan yang lebih terstruktur. Kondisi ini menyebabkan tantangan dalam hal transparansi, akuntabilitas, dan optimalisasi distribusi zakat, sehingga efektivitasnya dalam mengurangi kemiskinan belum maksimal. Sebaliknya, negara dengan sistem terpusat cenderung memiliki pengelolaan yang lebih efisien, terkoordinasi, dan terukur. Oleh karena itu, penelitian ini merekomendasikan pembentukan lembaga zakat nasional di Maroko yang mampu mengintegrasikan proses pengumpulan dan distribusi zakat secara profesional, transparan, dan akuntabel guna meningkatkan peran zakat dalam pembangunan sosial dan ekonomi.   Kata Kunci: Zakat Maroko, Kelembagaan Zakat, Transparansi, Akuntabilitas, Pengentasan Kemiskinan