Abstract: This study aims to determine the simultaneous and partial effects of locus of control, self-actualization needs, and work effectiveness on job performance. The sample size for this study consisted of 32 respondents. The data analysis technique used was multiple linear regression. The regression results produced the equation Y = 5.787 + 0.624X1 + 0.517X2 + 0.402X3. The F-test resulted in an Fcount (9.502) > Ftable (2.95), meaning that locus of control, self-actualization needs, and work effectiveness simultaneously affect job performance. The t-test results show that, partially, locus of control has a positive effect on job performance because tcount (3.137) > ttable (2.04523); self-actualization needs have a positive effect on job performance because tcount (2.653) > ttable (2.04523); and work effectiveness has a positive effect on job performance because tcount (2.207) > ttable (2.04523). The R2 test results show an Adjusted R Square value of 0.451, meaning that the independent variables comprising locus of control, self-actualization needs, and work effectiveness are able to explain job performance by 45.1%, while the remaining 54.9% is explained by other variables not included in this study. Keywords: locus of control, self-actualization needs, work effectiveness, job performance.   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh secara simultan dan parsial locus of control, kebutuhan aktualisasi diri dan efektivitas kerja terhadap prestasi kerja. Jumlah sampel sebanyak 32 responden. Teknik analisis data menggunakan regresi linier berganda. Hasil regresi menghasilkan persamaan Y = 5,787 + 0,624X1 + 0,517X2 + 0,402X3. Uji-F menghasilkan nilai Fhitung (9,502) > Ftabel (2,95), artinya locus of control, kebutuhan aktualisasi diri dan efektivitas kerja berpengaruh secara simultan terhadap prestasi kerja. Hasil uji-t, secara parsial locus of control berpengaruh positif terhadap prestasi kerja karena thitung (3,137) > ttabel (2,04523), kebutuhan aktualisasi diri berpengaruh positif terhadap prestasi kerja karena thitung (2,653) > ttabel (2,04523), efektivitas kerja berpengaruh positif terhadap prestasi kerja karena thitung (2,207) > ttabel (2,04523). Hasil uji-R2, nilai Adjusted R Square yaitu 0,451, artinya variabel bebas yang terdiri dari locus of control, kebutuhan aktualisasi diri, dan efektivitas kerja mampu menjelaskan prestasi kerja sebesar 45,1%, sedangkan sisanya 54,9% dijelaskan oleh variabel-variabel lain yang tidak termasuk dalam penelitian ini. Kata Kunci: locus of control, kebutuhan aktualisasi diri, efektivitas kerja, prestasi kerja

Abstract: This study aims to determine the simultaneous and partial effects of Store Image (X1), Consumer Trust (X2), and Word of Mouth (X3) on the Purchase Decision (Y) of internet data packages at Planet Ponsel Kisaran. The research design employed is descriptive quantitative, with data analysis conducted using multiple linear regression. The sampling technique utilized is incidental sampling, where the sample size was determined using the Wibisono formula due to the unknown population size, resulting in a sample of 96 respondents. Validity and reliability tests were also conducted to ensure the quality of the research instrument. The multiple linear regression analysis yielded the following equation: Y = a + 0.634 X1 + 0.512 X2 + 0.761 X3 + e. The findings indicate that, simultaneously (F-Test), Store Image, Consumer Trust, and Word of Mouth significantly influence purchase decisions, with an Fcount of 12.540 > Ftable 2.70 and a significance value of 0.001 < 0.05. Partially (t-Test), the results demonstrate a positive and significant influence for each variable: Store Image (X1) has a tcount of 6.094 > 1.98580, Consumer Trust (X2) has a tcount of 4.880 > 1.98580, and Word of Mouth (X3) has a tcount of 7.378 > 1.98580. Based on these values, Word of Mouth (X3) is identified as the most dominant variable influencing the purchase decision. The coefficient of determination (Adjusted R Square) of 0.546 indicates that the research model explains 54.6% of the purchase decision variable, while the remaining 45.4% is explained by other variables outside the scope of this study. Keywords: Store Image, Consumer Trust, Word of Mouth, Purchase Decision   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh secara simultan dan parsial antara Citra Toko (X1), Kepercayaan Konsumen (X2), dan Word of Mouth (X3) terhadap Keputusan Pembelian (Y) paket data internet pada Planet Ponsel Kisaran. Jenis penelitian yang digunakan adalah deskriptif kuantitatif dengan analisis data menggunakan regresi linear berganda. Teknik pengambilan sampel yang digunakan adalah incidental sampling, di mana penentuan jumlah sampel dihitung menggunakan rumus Wibisono karena jumlah populasi tidak diketahui secara pasti, sehingga diperoleh sampel sebanyak 96 responden. Uji validitas dan reliabilitas juga dilakukan untuk memastikan kualitas instrumen penelitian. Hasil analisis regresi linear berganda diperoleh persamaan: Y = 19,927+ 0,119 X1 + 0,166 X2 +0,046 X3+ e. Hasil penelitian menunjukkan bahwa secara simultan (Uji F), variabel Citra Toko, Kepercayaan Konsumen, dan Word of Mouth berpengaruh signifikan terhadap keputusan pembelian dengan nilai Fhitung 12,540 > Ftabel 2,70 dan nilai signifikansi 0,001 < 0,05. Secara parsial (Uji t), hasil pengujian menunjukkan pengaruh positif dan signifikan pada setiap variabel: Citra Toko (X1) memiliki thitung 6,094 > 1,98580, Kepercayaan Konsumen (X2) memiliki thitung 4,880 > 1,98580, dan Word of Mouth (X3) memiliki thitung 7,378 > 1,98580. Berdasarkan nilai tersebut, variabel Word of Mouth (X3) merupakan variabel yang paling dominan mempengaruhi keputusan pembelian. Nilai koefisien determinasi (Adjusted R Square) sebesar 0,546 menunjukkan bahwa model penelitian ini mampu menjelaskan variabel keputusan pembelian sebesar 54,6%, sedangkan sisanya sebesar 45,4% dijelaskan oleh variabel lain di luar penelitian ini. Kata Kunci: Citra Toko, Kepercayaan Konsumen, Word of Mouth, Keputusan Pembelian

Abstract: This study aims to determine the simultaneous and partial effects of flash sale pressure, competitive pricing, and review quality on impulse buying behavior of Generation Z on TikTok Shop. The type of research used is quantitative research with a causal approach. Data analysis was conducted using multiple linear regression with the assistance of SPSS software, involving 96 respondents selected through non-probability sampling using purposive sampling method. Validity and reliability tests were also conducted on all research statement items. The results of multiple linear regression analysis produced the following equation: Y = 2,402 + 0,282 X1 + 0,287 X2 + 0,339 X3 + e.  The results of the F-test showed that H1 was accepted and H0 was rejected, meaning that flash sale pressure, competitive pricing, and review quality simultaneously have a significant effect on impulse buying behavior of Generation Z on TikTok Shop, with an Fcount value of 76.198 > Ftable 2.70 and a significance value of 0.000 < 0.05. The results of the t-test indicated that partially flash sale pressure significantly affects impulse buying with a tcount value of 2.076 > ttable 1.986 and a significance value of 0.041 < 0.05, competitive pricing significantly affects impulse buying with a tcount value of 2.150 > ttable 1.986 and a significance value of 0.034 < 0.05, and review quality significantly affects impulse buying with a tcount value of 3.402 > ttable 1.986 and a significance value of 0.000 < 0.05. Based on the highest tcount value, review quality is the most dominant variable influencing impulse buying. The coefficient of determination test (R²) showed an Adjusted R Square value of 0.704, meaning that flash sale pressure, competitive pricing, and review quality are able to explain 70.4% of impulse buying behavior, while the remaining 29.6% is influenced by other factors outside the scope of this research model. Keywords: Flash Sale Pressure, Competitive Pricing, Review Quality, Impulse Buying.   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh secara simultan dan parsial flash sale pressure, harga kompetitif, dan kualitas ulasan terhadap pembelian impulsif Generasi Z pada TikTok Shop. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan kausalitas. Analisis data menggunakan regresi linear berganda dengan bantuan aplikasi SPSS, dengan jumlah sampel sebanyak 96 responden yang ditentukan menggunakan teknik non-probability sampling melalui metode purposive sampling. Uji validitas dan reliabilitas juga dilakukan terhadap seluruh item pernyataan penelitian. Hasil analisis regresi linear berganda diperoleh persamaan yaitu: Y = 2,402 + 0,282 X1 + 0,287 X2 + 0,339 X3 + e.  Hasil uji F menunjukkan bahwa H1 diterima dan H0 ditolak, yaitu secara simultan flash sale pressure, harga kompetitif, dan kualitas ulasan berpengaruh terhadap pembelian impulsif Generasi Z pada TikTok Shop dengan nilai Fhitung (76,198) > Ftabel (2,70) dan signifikansi 0,000 < 0,05. Hasil uji t menunjukkan bahwa secara parsial flash sale pressure berpengaruh terhadap pembelian impulsif dengan nilai thitung (2,076) > ttabel (1,986) dan signifikansi 0,041 < 0,05, harga kompetitif berpengaruh terhadap pembelian impulsif dengan nilai thitung (2,150) > ttabel (1,986) dan signifikansi 0,034 < 0,05, serta kualitas ulasan berpengaruh terhadap pembelian impulsif dengan nilai thitung (3,402) > ttabel (1,986) dan signifikansi 0,000 < 0,05. Berdasarkan nilai thitung terbesar, variabel kualitas ulasan merupakan faktor yang paling dominan dalam memengaruhi pembelian impulsif. Hasil uji koefisien determinasi (R²) menunjukkan nilai Adjusted R Square sebesar 0,704, yang berarti bahwa flash sale pressure, harga kompetitif, dan kualitas ulasan mampu menjelaskan pembelian impulsif sebesar 70,4%, sedangkan sisanya sebesar 29,6% dipengaruhi oleh faktor lain di luar model penelitian ini. Kata kunci: Flash Sale Pressure, Harga Kompetitif, Kualitas Ulasan, Pembelian Impulsif.

Abstract: The results of the study are: Multiple linear regression analysis produces the equation Y = 1154.050 – 0.100 ROA + 0.078 LDR + 0.521 NIM + e. Thus, ROA (X1), LDR (X2), and NIM (X3) have a positive relationship with profit growth and decrease profit growth. The partial test (t-test) states that ROA (X1) has no effect on profit growth with a significant value of 0.357 > 0.05. And the calculated t-value (-0.928) > -ttable (-1.67065) so that H0 is accepted and H1 is rejected. LDR (X2) does not significantly affect profit growth by 0.247 > 0.05. With a calculated t value of 1.169 < ttable 1.67065 so that H0 is accepted H1 is rejected. and NIM (X3) significantly affects profit growth by 0.004 < 0.05. With a calculated t value of 3.013 > ttable 1.67065 so that H1 is accepted H0 is rejected. Simultaneous test (F-test) states that ROA. LDR. and NIM simultaneously affect profit growth with a significant value of 0.002 < 0.05 and Fcount < Ftable which is 5.547 > 2.76. So H2 is accepted and H1 is rejected. The R2-test produces an adjusted R square value of 0.180. meaning  the correlation of independent variables ROA, LDR, and NIM contribute 18.0% to profit growth, while the remaining 82% is influenced by other factors not included in this research model. This means that ROA, LDR, and NIM have a negative impact on profit growth, with coefficients of <50%. Keywords: Return On Assets, Loan to Deposit Ratio, and Net Interest Margin on Profit Growth   Abstrak: Hasil penelitian adalah Analisis regresi linier berganda menghasilkan persamaan Y=1154.050 – 0.100 ROA + 0.078 LDR + 0.521 NIM + e. Dengan demikian ROA (X1). LDR (X2) dan NIM (X3) memberikan hubungan positif terhadap pertumbuhan laba dan menurunkan pertumbuhan laba. Uji parsial (uji-t)  menyatakan bahwa ROA (X1) tidak berpengaruh  terhadap  pertumbuhan  laba  dengan  nilai  signifikan  sebesar 0.357 > 0.05.  Dan nilai -thitung (-0.928) > -ttabel (-1.67065) sehingga H0 diterima dan H1 ditolak. LDR (X2) tidak berpengaruh terhadap pertumbuhan laba dengan signifikan sebesar 0.247 > 0.05. Dengan nilai thitung 1.169 < ttabel 1.67065 sehingga H0 diterima H1 ditolak. serta NIM (X3)  berpengaruh terhadap pertumbuhan laba dengan nilai signifikan sebesar 0.004 < 0.05. Dengan nilai thitung 3.013 > ttabel 1.67065 sehingga H1 diterima H0 ditolak. Uji simutan (uji-F) menyatakan bahwa ROA. LDR. dan NIM berpengaruh secara simultan terhadap pertumbuhan laba dengan nilai signifikan 0.002 < 0.05 dan Fhitung < Ftabel  yaitu 5.547 > 2.76. Maka H2 diterima dan H1 ditolak. Uji-R2 menghasilkan nilai adjusted R square adalah 0.180. artinya. korelasi variabel independen ROA. LDR. dan NIM memberikan pengaruh sebesar 18.0% terhadap pertumbuhan laba sedangkan sisanya 82% dipengaruhi oleh faktor-faktor lain yang tidak termasuk ke dalam model penelitian ini. Artinya. ROA. LDR dan NIM menghasilkan pengaruh yang kurang baik terhadap pertumbuhan laba dengan menghasilkan koefisien <50%. Kata kunci: Return On Assets, Loan To Deposit Ratio, Dan Net Interest Margin Terhadap Pertumbuhan Laba

Abstract: The deteriorating air quality in Batam City due to industrial and motor vehicle activities demands innovative solutions in real-time air quality monitoring. This research aims to design and build a mobile-based application for air quality detection using the prototyping method. The application was developed using the Flutter Mobile framework, with the Air Quality API as the source of air quality data and Firebase as the data storage base. Testing is carried out using the black box method to ensure that the application runs according to the specified specifications. The prototyping method was chosen so that application development could be carried out iteratively based on feedback from users, so that key features could be tailored to needs. The result of the system implementation of this study is a mobile application that is able to display real-time air quality information with a responsive and easy-to-use interface. Data obtained from the Air Quality API is processed and stored in Firebase to ensure fast and accurate synchronization and accessibility. Based on the results of the system's functionality test, the application can provide information about the level of air pollution in Batam City with a good level of accuracy. The results of this research are expected to help the community in increasing awareness of air quality and become a tool for the government in better environmental management. Keywords: Air Quality; Batam City; Mobile Apps; Prototyping; Black Box Testing   Abstrak: Kualitas udara yang semakin memburuk di Kota Batam akibat aktivitas industri dan kendaraan bermotor menuntut adanya solusi yang inovatif dalam pemantauan kualitas udara secara real-time. Penelitian ini bertujuan untuk merancang dan membangun aplikasi berbasis mobile untuk deteksi kualitas udara menggunakan metode prototyping. Aplikasi yang dikembangkan menggunakan framework Flutter Mobile, dengan API Air Quality sebagai sumber data kualitas udara dan Firebase sebagai basis penyimpanan data. Pengujian dilakukan menggunakan metode black box untuk memastikan bahwa aplikasi berjalan sesuai dengan spesifikasi yang telah ditentukan. Metode prototyping dipilih agar pengembangan aplikasi dapat dilakukan secara iteratif berdasarkan umpan balik dari pengguna, sehingga fitur-fitur utama dapat disesuaikan dengan kebutuhan. Hasil implementasi sistem dari penelitian ini adalah sebuah aplikasi mobile yang mampu menampilkan informasi kualitas udara secara real-time dengan antarmuka yang responsif dan mudah digunakan. Data yang diperoleh dari API Air Quality diolah dan disimpan dalam Firebase untuk memastikan sinkronisasi serta aksesibilitas yang cepat dan akurat. Berdasarkan hasil pengujian fungsionalitas sistem, aplikasi tersebut dapat memberikan informasi mengenai tingkat polusi udara di Kota Batam dengan tingkat akurasi yang baik. Hasil dari penelitian ini diharapkan dapat membantu masyarakat dalam meningkatkan kesadaran akan kualitas udara dan menjadi alat bantu bagi pemerintah dalam pengelolaan lingkungan yang lebih baik. Kata kunci: Kualitas Udara; Kota Batam; Aplikasi Mobile; Prototyping; Black Box Testing

Abstract: This research aims to investigate the way learning motivation and the intensity of utilizing the digital platform Google Classroom influence the English language self-efficacy of AMIK Polibisnis students. The study applied a quantitative approach with an ex-post facto causal design. A total of 30 students were selected as the sample through purposive sampling. The instrument was a five-point Likert scale questionnaire that had undergone validity and reliability testing. Data were analyzed using simple linear regression and multiple linear regression. The findings revealed that learning motivation had a positive and significant effect (sig. 0.001), the level of Google Classroom use also positively and significantly impacted self-efficacy (sig. 0.000), and both variables together exerted a significant influence (sig. 0.000183) with a 32.2% contribution. The results indicate that students' confidence in their English competence grows as the frequency of accessing Google Classroom and their learning drive increase. Consequently, continuously optimizing the use of Google Classroom and fostering learning enthusiasm are crucial steps to strengthen students' self-belief in English learning within higher education institutions.  Keywords: Google Classroom; Learning Motivation; Self-Efficacy; English Ability   Abstrak: Tujuan studi ini adalah untuk mengkaji bagaimana motivasi belajar dan intensitas pemanfaatan media digital Google Classroom memengaruhi keyakinan diri (self-efficacy) berbahasa Inggris mahasiswa AMIK Polibisnis. Riset ini menggunakan pendekatan kuantitatif dengan desain kausalitas ex-post facto. Sampel terdiri dari 30 mahasiswa yang dipilih melalui teknik purposive sampling. Instrumen yang digunakan berupa angket berskala Likert lima tingkat yang telah melewati pengujian validitas dan reliabilitas. Analisis data dilakukan dengan regresi linier sederhana dan regresi linier berganda. Hasil penelitian memperlihatkan bahwa motivasi belajar memberikan dampak positif dan signifikan (sig. 0,001), intensitas penggunaan Google Classroom juga berpengaruh positif dan signifikan terhadap efikasi diri (sig. 0,000), dan kedua variabel secara bersamaan memberikan pengaruh yang signifikan (sig. 0,000183) dengan kontribusi sebesar 32,2%. Temuan studi memperlihatkan bahwa keyakinan diri mahasiswa terhadap kemampuan bahasa Inggris mereka bertambah seiring dengan meningkatnya frekuensi akses Google Classroom dan tingginya dorongan belajar. Karenanya, upaya mengoptimalkan pemanfaatan Google Classroom secara terus-menerus serta mendorong semangat belajar menjadi langkah penting guna memperkuat rasa percaya diri mahasiswa dalam mempelajari bahasa Inggris di lingkungan perguruan tinggi. Kata Kunci: Google Classroom; Motivasi Belajar; Self-Efficacy; Kemampuan Bahasa Inggris

Abstract: This study aims to analyze the social construction of meaning surrounding the Tabuik tradition in Pariaman City through the perspective of Peter L. Berger’s Social Construction of Reality theory. The Tabuik tradition has undergone a shift in meaning, situated between the preservation of cultural values, the pressures of tourism commodity, and resistance emerging from religious discourse. This research employed a qualitative method with a phenomenological approach. Data were collected through in-depth interviews with key informants, including traditional leaders (Tuo Tabuik), as well as supporting informants from students of the Minangkabau Literature Program, who represented the younger generation. Data analysis was conducted through the stages of data collection, data presentation, and conclusion drawing. The findings reveal that the construction of meaning of the Tabuik tradition among students is shaped through the integration of empirical experiences, formal education, and social interactions. Theoretically, these meanings are manifested in three major dimensions: cultural identity, spiritual experience, and cultural transformation in the modern era. The study indicates that students perceive Tabuik from two contrasting perspectives. On the one hand, it is regarded as a symbol of ancestral heritage preservation that embodies important philosophical and cultural values. On the other hand, concerns emerge regarding its transformation into a tourism commodity, which may reduce the sacredness of the tradition. Furthermore, the influence of social media and Generation Z lifestyles has encouraged the reinterpretation of Tabuik as a medium for self-expression and social existence. Therefore, this study confirms that the meaning of the Tabuik tradition is dynamic and continuously evolving in response to social influences and the communication patterns of younger generations. Keywords: Social Construction; Peter L. Berger; Tabuik Tradition; Pariaman; Phenomenology.   Abstrak: Penelitian ini bertujuan untuk menganalisis secara mendalam konstruksi sosial pemaknaan tradisi Tabuik di Kota Pariaman dengan menggunakan analisis Teori Konstruksi Sosial atas Realitas dari Peter L. Berger. Tradisi Tabuik saat ini mengalami pergeseran makna antara pelestarian nilai kultural, desakan komoditas pariwisata, dan resistensi dari diskursus keagamaan. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomenologi, data dikumpulkan melalui wawancara mendalam terhadap informan kunci yang terdiri dari tokoh adat (Tuokan Tabuik) serta informan pendukung dari kalangan mahasiswa Prodi Sastra Minangkabau sebagai representasi generasi muda. Analisis data dilakukan melalui tahapan pengumpulan data, penyajian data, dan penarikan kesimpulan. Penelitian ini mengungkapkan bahwa konstruksi makna tradisi Tabuik di kalangan mahasiswa terbentuk melalui integrasi pengalaman empiris, pendidikan formal, dan interaksi sosial. Secara teoretis, makna tersebut terbagi ke dalam dimensi identitas budaya, pengalaman spiritual, serta transformasi budaya di era modern. Hasil studi menunjukkan persepsi mahasiswa: di satu sisi, Tabuik dipandang sebagai simbol pelestarian warisan leluhur yang bernilai filosofis, namun di sisi lain, terdapat kekhawatiran akan pergeseran maknanya menjadi sekadar komoditas pariwisata yang mereduksi kesakralan tradisi. Lebih lanjut, pengaruh media sosial dan gaya hidup generasi Z turut mendorong reinterpretasi tradisi sebagai bentuk eksistensi diri. Dengan demikian, penelitian ini menegaskan bahwa makna tradisi Tabuik bersifat dinamis dan terus berkembang seiring dengan pengaruh sosial serta pola komunikasi generasi muda. Kata kunci: konstruksi sosial; Peter L. Berger; tradisi tabuik; Pariaman; fenomenologi.

Abstract: This study aims to describe the use of Physics Education Technology (PhET) applications as interactive learning tools for elementary school students. Science education at the elementary level often faces challenges because many concepts are abstract and difficult for children to understand. To overcome this, this study uses two approaches that include the planning stage, selection of suitable simulations, and implementation of PhET in the classroom. This approach also involves the process of observation, assessment of concept understanding, and analysis of student responses to the learning methods used. The researcher used a descriptive qualitative method by observing directly, conducting interviews with teachers, and administering simple formative tests. The results of the study show that the use of PhET can help children understand abstract mathematical concepts, such as the relationship between fractions and decimals, through interactive visualizations and digital object manipulation. In addition, students also showed an increase in learning motivation, curiosity, and activity in discussions. Thus, the PhET application can be an innovative and effective learning medium in improving the quality of mathematics learning at the elementary school level. Keywords: Interactivity, Mathematics, PhET Learning Media, Elementary School, Simulation.   Abstrak: Penelitian ini bertujuan untuk menggambarkan penggunaan aplikasi Physics Education Technology (PhET) sebagai sarana pembelajaran interaktif bagi siswa Sekolah Dasar. Pembelajaran sains di tingkat dasar sering kali menghadapi tantangan karena banyak konsep yang bersifat abstrak dan susah dipahami oleh anak-anak. Untuk mengatasi hal tersebut, penelitian ini menggunakan dua pendekatan yang mencakup tahap perencanaan, pemilihan simulasi yang cocok, serta penerapan PhET dalam kelas. Pendekatan ini juga melibatkan proses observasi, penilaian pemahaman konsep, serta analisis respons siswa terhadap metode pembelajaran yang digunakan. Peneliti menggunakan metode kualitatif deskriptif dengan cara mengamati langsung, melakukan wawancara dengan guru, serta memberikan tes formatif sederhana. Hasil penelitian menunjukkan bahwa penggunaan PhET dapat membantu anak-anak memahami konsep matematika yang abstrak, seperti hubungan antara pecahan dan desimal, melalui visualisasi yang interaktif dan manipulasi objek digital. Selain itu, siswa juga menunjukkan peningkatan motivasi belajar, rasa ingin tahu, dan keaktifan dalam berdiskusi. Dengan demikian, aplikasi PhET dapat menjadi media pembelajaran yang inovatif dan efektif dalam meningkatkan kualitas pembelajaran matematika di tingkat Sekolah Dasar. Kata Kunci: Interaktivitas, Matematika, Media Pembelajaran PhET, Sekolah Dasar, Simulasi.

Abstract: The flood disaster that hit Tualang Baro Village caused massive damage to public administration infrastructure, including loss of vital documents, disruption of population administration services, and legal uncertainty in land tenure. This community service activity aims to provide legal assistance and strengthening of public administration recovery for flood-affected communities through an academic-based legal resilience transformation model. Activities included legal counseling sessions, direct document recovery assistance at the village office, and capacity building training for village officials. The program successfully facilitated the recovery of civil registration documents, strengthened community legal awareness, and produced a replicable Academic-Based Juridical Resilience Transformation Model (MTKYA). This activity simultaneously supported the achievement of Higher Education Key Performance Indicators (IKU) and demonstrated the concrete role of universities in post-disaster legal recovery and community empowerment. Keywords: Legal Assistance; Public Administration; Post-Flood Disaster; Tualang Baro; MBKM.     Abstrak: Bencana banjir yang melanda Desa Tualang Baro menyebabkan kerusakan masif pada infrastruktur administrasi publik, termasuk kehilangan dokumen vital, gangguan layanan administrasi kependudukan, dan ketidakpastian hukum dalam penguasaan tanah. Kegiatan pengabdian kepada masyarakat ini bertujuan memberikan pendampingan hukum dan penguatan pemulihan administrasi publik bagi masyarakat terdampak banjir melalui model transformasi ketahanan yuridis berbasis akademik. Kegiatan yang dilaksanakan meliputi penyuluhan hukum interaktif, pendampingan pemulihan dokumen kependudukan secara langsung di kantor desa, serta pelatihan penguatan kapasitas aparatur desa. Program ini berhasil memfasilitasi pemulihan dokumen kependudukan warga, meningkatkan kesadaran hukum masyarakat, dan menghasilkan Model Transformasi Ketahanan Yuridis Berbasis Akademik (MTKYA) yang dapat direplikasi. Kegiatan ini sekaligus mendukung pencapaian Indikator Kinerja Utama (IKU) Perguruan Tinggi dan membuktikan peran nyata kampus dalam pemulihan hukum dan pemberdayaan masyarakat pascabencana. Kata kunci: Pendampingan Hukum; Administrasi Publik; Pascabencana Banjir; Tualang Baro; MBKM.

Abstract: The Darma Bahagia Library in Binjai Baru Village has not been optimally utilized as a community literacy center, particularly for elementary school students. Low reading interest and the lack of literacy activities remain the main issues. This community service program aims to revitalize the library’s function through the reorganization of its book collection, the addition of educational murals, and the implementation of the KINCIRIA Program (Joyful Literacy Class). The program was carried out in four stages: preparation, physical revitalization, program implementation, and evaluation with sustainability planning. The results show an increase in students’ participation in reading activities, group learning, and other creative literacy practices. Moreover, the library has become more attractive, child-friendly, and functional again as a community learning hub. Program sustainability is supported by teachers, library managers, and village officials who are committed to continuing the literacy activities on a regular basis. Therefore, this program successfully enhanced students’ learning motivation and fostered a literacy culture among elementary school students. Keywords: literacy, village library, educational mural, KINCIRIA, elementary school students     Abstrak: Perpustakaan Darma Bahagia di Desa Binjai Baru selama ini belum dimanfaatkan secara optimal sebagai pusat literasi masyarakat, khususnya bagi siswa sekolah dasar. Rendahnya minat baca dan minimnya kegiatan literasi menjadi permasalahan utama yang dihadapi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk merevitalisasi fungsi perpustakaan melalui penataan ulang koleksi buku, penambahan mural edukatif, serta implementasi Program KINCIRIA (Kelas Literasi Ceria). Metode pelaksanaan dilakukan dalam empat tahap, yaitu persiapan, revitalisasi fisik, implementasi program, serta evaluasi dan keberlanjutan. Hasil kegiatan menunjukkan adanya peningkatan partisipasi siswa dalam aktivitas membaca bersama, belajar kelompok, dan kegiatan literasi kreatif lainnya. Selain itu, perpustakaan menjadi lebih menarik, ramah anak, dan berfungsi kembali sebagai pusat belajar masyarakat desa. Keberlanjutan program didukung oleh guru, pengelola perpustakaan, dan perangkat desa yang berkomitmen melanjutkan kegiatan literasi secara rutin. Dengan demikian, kegiatan ini mampu meningkatkan motivasi belajar sekaligus menumbuhkan budaya literasi di kalangan siswa sekolah dasar. Kata kunci: literasi, perpustakaan desa, mural edukatif, KINCIRIA, siswa sekolah dasar

Abstract: Flooding in Aceh Tamiang has had a significant impact on the disruption of village administrative services, particularly in Simpang Lhee Village, due to damage to office equipment and data storage media. This condition has hindered public services such as the issuance of official letters, document management, and community access to post-disaster services. This community service program aims to restore the function of village administration while strengthening the capacity of village officials in managing digital archives. The implementation method was carried out systematically through stages of needs assessment, provision of facilities in the form of printers and external hard drives, as well as technical training and assistance. The results indicate that village administrative services have gradually returned to normal, supported by the availability of operational equipment and improved capacity of village officials in managing documents and performing routine data backups. Overall, this program not only contributes to the recovery of public services after the flood but also promotes the development of a more resilient, efficient, and sustainable village administrative system. Keywords: Village Administrative Recovery; Digital Archiving; Post-Flood Recovery.     Abstrak: Bencana banjir di Aceh Tamiang berdampak signifikan terhadap terganggunya layanan administrasi desa, khususnya di Desa Simpang Lhee, akibat kerusakan perangkat perkantoran dan media penyimpanan data. Kondisi ini menghambat pelayanan publik seperti penerbitan surat keterangan, pengelolaan dokumen, dan akses masyarakat terhadap layanan pasca-bencana. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memulihkan fungsi administrasi desa sekaligus memperkuat kapasitas aparatur dalam pengelolaan arsip digital. Metode pelaksanaan dilakukan secara sistematis melalui tahapan identifikasi kebutuhan, intervensi sarana berupa pemberian printer dan hard disk eksternal, pelatihan dan pendampingan teknis. Hasil kegiatan menunjukkan bahwa layanan administrasi desa mulai kembali berjalan normal, didukung oleh ketersediaan perangkat operasional dan meningkatnya kemampuan aparatur desa dalam mengelola dokumen serta melakukan pencadangan data secara rutin. Secara keseluruhan, program ini tidak hanya berkontribusi pada pemulihan layanan publik pasca-banjir, tetapi juga mendorong terbentuknya sistem administrasi desa yang lebih tangguh, efisien, dan berkelanjutan. Kata Kunci: Pemulihan Administrasi Desa; Arsip Digital; Pasca-Banjir.

Abstract: Sales prediction is important for pharmacy retail businesses to support stock planning and reduce dependence on subjective decision-making. This study aims to implement Multiple Linear Regression to predict the sales of home brand products at a pharmacy outlet and integrate the prediction model into a web-based system. The data used in this study were daily sales transaction data from Sri Manja Pharmacy Outlet from May 16, 2024 to April 16, 2026. The initial dataset consisted of 124,992 transaction records, which were filtered, cleaned, aggregated into daily sales data, and transformed into predictive variables, including time-based variables, historical sales patterns, and discount variables. The model was developed separately for each product using an 80:20 time-based data split and evaluated using MAE, RMSE, MAPE, and R². The results show that the model can predict sales with varying performance across products. One tested product achieved a MAPE of 12.21% and an R² of 0.9068, indicating relatively good predictive performance. The model was successfully implemented into a web-based system that supports sales prediction, visualization, and report generation. Therefore, the proposed system can assist pharmacy outlets in making more data-driven sales and stock planning decisions. Keywords: Home Brand; Multiple Linear Regression; Pharmacy Outlet; Sales Prediction; Web-Based System.   Abstrak: Prediksi penjualan memiliki peran penting dalam bisnis ritel farmasi untuk mendukung perencanaan stok dan mengurangi ketergantungan terhadap pengambilan keputusan secara subjektif. Penelitian ini bertujuan untuk mengimplementasikan Regresi Linear Berganda dalam memprediksi penjualan produk home brand pada satu outlet farmasi serta mengintegrasikan model prediksi ke dalam sistem berbasis web. Data yang digunakan merupakan data transaksi penjualan harian Outlet Farmasi Sri Manja periode 16 Mei 2024 sampai 16 April 2026. Dataset awal terdiri dari 124.992 baris transaksi, kemudian dilakukan seleksi, pembersihan, agregasi menjadi data penjualan harian, dan pembentukan variabel prediksi yang meliputi variabel waktu, pola historis penjualan, dan variabel diskon. Model dibangun secara terpisah untuk setiap produk menggunakan pembagian data berbasis waktu dengan rasio 80:20 serta dievaluasi menggunakan MAE, RMSE, MAPE, dan R². Hasil penelitian menunjukkan bahwa model mampu memprediksi penjualan dengan performa yang berbeda pada setiap produk. Salah satu produk yang diuji memperoleh nilai MAPE sebesar 12,21% dan R² sebesar 0,9068, yang menunjukkan performa prediksi cukup baik. Model berhasil diimplementasikan ke dalam sistem berbasis web yang mendukung prediksi, visualisasi, dan pembuatan laporan penjualan. Dengan demikian, sistem yang diusulkan dapat membantu outlet farmasi dalam pengambilan keputusan penjualan dan perencanaan stok berbasis data. Kata Kunci: Home Brand; Outlet Farmasi; Prediksi Penjualan; Regresi Linier Berganda; Sistem Berbasis Web.

Abstract: Oil palm leaf diseases can significantly reduce harvest productivity. Manual identification is considered less effective because it requires a long time and carries the risk of misidentification. This study develops a leaf image detection system using a CNN with the MobileNetV2 architecture, implemented on both web and mobile platforms. A dataset of 1,200 images from Kaggle and field observations covers four classes: leaf spot, anthracnose, yellow stripe, and Other. The research stages include data collection, image preprocessing, dataset splitting, CNN model training using the MobileNetV2 architecture, model testing, performance evaluation, and system implementation on web and mobile platforms. Evaluation was conducted using confusion matrix, accuracy, precision, recall, and F1-score parameters. Based on testing results, the model achieved 93.33% accuracy, 93.71% precision, 92.92% recall, and 93.31% F1-score. The developed system was successfully implemented on web and mobile platforms with features such as image upload, automatic classification, detection history, and disease management recommendations. With this system, users are expected to perform early detection of oil palm leaf diseases more quickly, practically, and accurately. Keywords: CNN, Deep Learning, Image Classification, MobileNetV2, Oil Palm Leaf Disease.   Abstrak: Penyakit daun kelapa sawit dapat menurunkan produktivitas panen secara signifikan. Identifikasi manual dinilai kurang efektif karena membutuhkan waktu lama dan berpotensi salah identifikasi. Penelitian ini membangun sistem deteksi citra daun menggunakan CNN arsitektur MobileNetV2 berbasis web dan mobile. Dataset 1.200 citra dari Kaggle dan observasi lapangan mencakup empat kelas: bercak daun, antraknosa, garis kuning, dan Other. Tahapan penelitian meliputi pengumpulan data, preprocessing citra, pembagian dataset, pelatihan model CNN menggunakan arsitektur MobileNetV2, pengujian model, evaluasi performa, serta implementasi sistem berbasis web dan mobile. Proses evaluasi dilakukan menggunakan parameter confusion matrix, accuracy, precision, recall, dan F1-score. Berdasarkan hasil pengujian, model memperoleh akurasi 93,33%, precision 93,71%, recall 92,92%, dan F1-score 93,31%. Sistem yang dibangun berhasil diimplementasikan pada platform web dan mobile dengan fitur unggah citra, proses klasifikasi otomatis, riwayat deteksi, serta rekomendasi penanganan penyakit. Dengan adanya sistem ini, pengguna diharapkan dapat melakukan deteksi dini penyakit daun kelapa sawit secara lebih cepat, praktis, dan akurat. Kata Kunci: CNN, Deep Learning, Klasifikasi Citra, MobileNetV2, Penyakit Daun Sawit.

Abstract: In managing its business strategy, PT. Halindo Berjaya Mandiri requires an intelligent computational approach to evaluate and predict the achievement level of sales targets based on historical data. This study aims to implement an Artificial Neural Network (ANN) using the Perceptron algorithm to classify overall fish sales data into two binary categories: 'Target Achieved' and 'Target Not Achieved'. The data used in this study relies on three independent input variables, namely the sales history in 2023, 2024, and 2025. The computational stages applied include data matrix preprocessing through the Min-Max Scaling normalization technique, linear combination calculation (Weighted Sum) mapped through the Sigmoid activation function, and an iterative optimization stage using the Delta Rule to update the weight and bias values. Based on the simulation and training conducted, the model was quantitatively evaluated using the Confusion Matrix method. The system testing results show that the Perceptron algorithm is capable of performing classification with a highly optimal accuracy rate of 94.81% and producing a very low error rate (Mean Squared Error) of 0.030291. This study proves that the ANN method with the Perceptron algorithm has high reliability and is highly feasible to be implemented as the foundation for a predictive decision support system at PT. Halindo Berjaya Mandiri. Keywords: Artificial Neural Network, Perceptron Algorithm, Classification, Delta Rule, Sigmoid Function, Fish Sales.   Abstrak: PT. Halindo Berjaya Mandiri dalam mengelola strategi bisnisnya memerlukan pendekatan komputasi cerdas untuk mengevaluasi dan memprediksi tingkat pencapaian target penjualan berdasarkan data historis. Penelitian ini bertujuan untuk mengimplementasikan Jaringan Saraf Tiruan (JST) menggunakan algoritma Perceptron guna mengklasifikasikan data keseluruhan penjualan ikan ke dalam dua kategori biner, yaitu 'Mencapai Target' dan 'Tidak Mencapai Target'. Data yang digunakan dalam penelitian ini bertumpu pada tiga variabel masukan independen, yakni riwayat penjualan pada Tahun 2023, 2024, dan 2025. Tahapan komputasi yang diterapkan meliputi prapemrosesan matriks data melalui teknik normalisasi Min-Max Scaling, perhitungan kombinasi linear (Weighted Sum) yang dipetakan melalui fungsi aktivasi Sigmoid, serta tahapan optimasi iteratif menggunakan aturan Delta Rule untuk memperbarui nilai bobot dan bias. Berdasarkan simulasi dan pelatihan yang dilakukan, model dievaluasi secara kuantitatif menggunakan metode Confusion Matrix. Hasil pengujian sistem menunjukkan bahwa algoritma Perceptron mampu melakukan klasifikasi dengan tingkat akurasi yang sangat optimal sebesar 94,81% serta menghasilkan rasio tingkat kesalahan (Mean Squared Error) yang sangat rendah, yaitu 0,030291. Penelitian ini membuktikan bahwa metode JST algoritma Perceptron memiliki keandalan yang tinggi dan sangat layak untuk diimplementasikan sebagai landasan sistem pendukung keputusan prediktif pada PT. Halindo Berjaya Mandiri. Kata Kunci: Jaringan Saraf Tiruan, Algoritma Perceptron, Klasifikasi, Delta Rule, Fungsi Sigmoid, Penjualan Ikan.

Abstract: Chronic diseases such as diabetes, hypertension, and heart disease are major causes of morbidity and mortality in various countries, including Indonesia. Early detection of chronic disease risk is a crucial step in more effective prevention and treatment. One important source of information for identifying these risks is laboratory data, particularly patient blood data, which includes parameters such as glucose levels, cholesterol, blood pressure, hemoglobin, and other indicators. The objective of this study was to design and develop a patient blood data clustering application to identify chronic disease risk using the K-Menas method and the Elbow method using a web programming language. The data used in this study consisted of a sample of 140 individuals. Of the total sample, 140 patients were successfully grouped into four optimal clusters (K = 4). This data partitioning process resulted in a varied population distribution within each cluster, reflecting the heterogeneity of clinical and demographic characteristics among the study subjects. Based on the analysis of 140 patients, the population was dominated by the Critical/Chronic group (Cluster 4) at 45.7% (64 patients), followed by the Healthy/Normal Group (Cluster 1) at 30% (42 patients), and the Low/Early Risk (Cluster 2) and High Risk (Cluster 3) groups, each with an equal minority proportion of 12.1% (17 patients). Keywords: Elbow Optimization, K-Menas Method, Clustering, Patient Blood Data, Chronic Disease Risk Identification   Abstrak: Penyakit kronis seperti diabetes, hipertensi, dan penyakit jantung menjadi penyebab utama morbiditas dan mortalitas di berbagai negara, termasuk Indonesia. Deteksi dini terhadap risiko penyakit kronis merupakan langkah penting dalam upaya pencegahan dan penanganan yang lebih efektif. Salah satu sumber informasi penting untuk mengidentifikasi risiko tersebut adalah data laboratorium, khususnya data darah pasien, yang mencakup parameter-parameter seperti kadar glukosa, kolesterol, tekanan darah, hemoglobin, serta indikator lainnya. Tujuan dalam penelitian ini ialah Untuk merancang dan membuat aplikasi clustering data darah pasien untuk identifikasi resiko penyakit kronis menggunakan Metode  K-Menas  dan metode elbow dengan bahasa pemrograman web. Data yang digunakan dalam penelitian ini berupa sample sebanyak 140 orang. Dari total sampel penelitian sebanyak 140 pasien berhasil dikelompokkan ke dalam 4 klaster optimal (K = 4). Proses partisi data ini menghasilkan sebaran populasi yang bervariasi di setiap klasternya, mencerminkan adanya heterogenitas karakteristik klinis atau demografis di antara subjek penelitian. Berdasarkan hasil analisis terhadap 140 pasien, populasi didominasi oleh kelompok Kritis/Kronis (Klaster 4) sebesar 45,7% (64 pasien), diikuti kelompok Kelompok Sehat/Normal (Klaster 1) sebesar 30% (42 pasien), serta kelompok Risiko Rendah/Awal (Klaster 2) dan Risiko Tinggi (Klaster 3) yang memiliki proporsi minoritas setara masing-masing sebesar 12,1% (17 pasien). Kata Kunci: Optimasi Elbow, Metode K-Menas, Clustering, Data Darah Pasien, Identifikasi Resiko Penyakit Kronis

Abstract: This study aims to classify provinces in Indonesia based on tourist stay patterns in star-rated hotels using the Hebb Network method. Computational data is sourced from official publications of the Central Statistics Agency (BPS) covering 38 provinces in Indonesia. The Hebb Network method was chosen because of its effectiveness in linearly adjusting the strength of weights between neurons based on the bipolar correlation of input and output values, thus mapping provinces into three target classes: Low, Medium, and High. The system is implemented using the PHP programming language to facilitate the training and computational testing process. Based on the results of testing 38 test data using the final network weight parameters, the model successfully classified 29 data sets correctly according to their actual target classes. The evaluation results showed that the system achieved an accuracy level of 76.32%. Misclassification of 23.68% generally occurred in data with values ​​​​in the threshold area due to the dominance of the final network bias parameters. Overall, this model classification is valid in identifying stay patterns, thus providing strategic insights for local governments and tourism industry players in formulating more targeted and data-driven development policies. Keywords: Hebb Network, Classification, Length of Stay, Starred Hotels, Machine Learning, Indonesian Tourism.   Abstrak: Penelitian ini bertujuan untuk mengklasifikasikan provinsi di Indonesia berdasarkan pola durasi menginap wisatawan pada hotel berbintang menggunakan metode Jaringan Hebb. Data komputasi bersumber dari publikasi resmi Badan Pusat Statistik (BPS) yang mencakup 38 provinsi di Indonesia. Metode Jaringan Hebb dipilih karena efektivitasnya dalam menyesuaikan kekuatan bobot antar neuron secara linier berdasarkan korelasi nilai masukan dan keluaran bipolar, sehingga mampu memetakan provinsi ke dalam tiga kelas target: Rendah, Sedang, dan Tinggi. Sistem diimplementasikan menggunakan bahasa pemrograman PHP untuk memfasilitasi proses pelatihan dan pengujian komputasi. Berdasarkan hasil pengujian terhadap 38 data uji menggunakan parameter bobot akhir jaringan, model berhasil mengklasifikasikan 29 data dengan tepat sesuai kelas target aktualnya. Hasil evaluasi menunjukkan bahwa sistem mampu mencapai tingkat akurasi sebesar 76,32%. Misklasifikasi sebesar 23,68% umumnya terjadi pada data dengan nilai di area batas ambang (threshold) akibat dominasi parameter bias akhir jaringan. Secara keseluruhan, model klasifikasi ini valid dalam mengidentifikasi pola durasi menginap, sehingga dapat memberikan wawasan strategis bagi pemerintah daerah dan pelaku industri pariwisata dalam merumuskan kebijakan pengembangan yang lebih terarah dan berbasis data. Kata Kunci: Jaringan Hebb, Klasifikasi, Durasi Menginap, Hotel Berbintang, Machine Learning, Pariwisata Indonesia.

 This study was conducted to examine the effect of using LAPS Heuristic-basedE-LKPD on students’ learning outcomes. The research applied a quantitative approachwith a pretest-posttest design. The sample of this study consisted of 36 students. Datawere collected through a pretest administered before the implementation of the E-LKPDand a posttest conducted after the implementation of the LAPS Heuristic-based E-LKPD.The obtained data were analyzed using a paired sample t-test to determine the differencesin learning outcomes before and after the treatment. The findings revealed that theaverage pretest score was 69.36, while the average posttest score increased to 92.47. Thestatistical analysis showed that the value of ???????????????????????? = 14.37, whereas the value of???????????????????????? = 2.03at the 5% significance level. Since the value of ????????????????????????was higher than????????????????????????, H₀ was rejected and H₁ was accepted. These results indicate that the use of LAPSHeuristic-based E-LKPD had a significant effect on improving students’ learningoutcomes. Therefore, the LAPS Heuristic-based E-LKPD was considered effective for usein the learning process.

High quality public service requires a balance between administrative efficiency and visitor comfort, including for members of the public who come with children. This study aims to analyze the development of child-friendly facilities in improving visitor services at the Kulon Progo Regency Secondary Education Office. The background of the study is based on the importance of public services that are not only fast and efficient but also comfortable, inclusive, and responsive to the needs of the community, including visitors who come with children. The study employed a descriptive qualitative method with data collection techniques including observation, interviews, and documentation. Research informants consisted of office management, service staff, facility maintenance personnel, and service users. Research findings indicate that the development of facilities and infrastructure for children’s reading rooms is crucial and can improve the quality of services provided to visitors. These efforts have a positive impact on service quality, marked by increased public comfort, a more orderly service process, more manageable waiting times, and increased staff effectiveness in serving visitors’ needs. Additionally, the public has responded positively to the changes in facilities, which are now neater, more accessible, and user-friendly. It is concluded that child-friendly spaces are a simple yet effective public service innovation for sustainably improving the quality of public services.

Regulations on restitution for victims of abuse in Indonesia are normatively available and reinforced through Supreme Court Regulation Number 1 of 2022. However, their implementation remains inconsistent, particularly in practice, such as at the Stabat Court, where judges tend not to optimally utilize their freedom and independence in imposing restitution and remain formalistic and cautious. This research applies a normative legal approach because, to address the formulated problem, the primary focus is on literature review or the use of secondary data. The normative legal approach places greater emphasis on the use of secondary data and identifies structural and cultural barriers, including a lack of coordination among law enforcement officials, difficulties in proving victims' losses, victims' low understanding of the right to restitution, and a judicial system that still emphasizes punishment of perpetrators rather than victim recovery. Restitution is a crucial instrument that serves not only as compensation but also as a means of comprehensive recovery. Therefore, strengthening its implementation and the active role of judges are necessary to achieve a more effective balance of justice between perpetrators and victims.

Medan City Customs and Excise Supervision and Services (KPPBC) in the implementation of Bonded Zone facilities as an instrument for increasing investment and strengthening the competitiveness of national industry. The problem in this study focuses on how the implementation of services and supervision of Bonded Zone facilities by KPPBC Medan City and various legal and administrative challenges faced in supporting increased investment. Although Bonded Zone facilities provide various fiscal incentives and procedural conveniences that are proven to be able to increase exports and attract investment, there are still obstacles in the form of complexity of supervision, lack of synchronization of legal regulations, lack of norms related to inspection and assistance mechanisms, limited supervisory resources, and potential injustice for industries outside the Bonded Zone. The research method used is normative legal research with an approach to legal principles, legal systematics, legal synchronization, and laws and regulations related to Bonded Zones. The results of the study indicate that KPPBC Medan City has carried out its service and supervision role quite effectively through the provision of fiscal facilities, simplification of electronic-based customs procedures, fast licensing services, technical assistance to business actors, and risk management-based supervision. This policy has had a positive impact on company operational efficiency, increased exports, and investment growth in Medan City. However, various challenges remain, including regulatory inconsistencies, legal gaps in certain oversight mechanisms, limited resources, and the need for a more balanced oversight model that balances facilitation and law enforcement functions. Therefore, strengthening regulatory harmonization, improving the quality of assistance, optimizing inter-agency coordination, and developing risk-based oversight are necessary to create legal certainty and a more conducive investment climate.