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All Journal Jurnal Teknologi Pendidikan CESS (Journal of Computer Engineering, System and Science) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Pengabdian kepada Masyarakat Nusantara JPTE: Jurnal Pendidikan Teknik Elektro JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Vokasi Informatika (JAVIT) Bulletin of Computer Science Research Instal : Jurnal Komputer Jurnal IPTEK Bagi Masyarakat Jurnal Pengabdian Masyarakat IPTEK JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN JURNAL MULTIDISIPLIN ILMU AKADEMIK Jurnal Intelek Insan Cendikia Indonesian Journal of Education and Social Humanities
Rosma Siregar
Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Academic Performance Prediction of PTIK Students through Machine Learning Models at Universitas Negeri Medan Tansa Trisna Astono Putri; Reni Rahmadani; Rosma Siregar; Hanapi Hasan
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29570

Abstract

This study addressed the need for an effective approach to predicting student academic performance in higher education using data-driven methods. The study aimed to implement machine learning models to predict the academic performance of students in the Information and Communication Technology Education Study Program at Universitas Negeri Medan. A quantitative predictive design was employed using a dataset of 40 student records. Five classification models were tested, namely Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, and Naïve Bayes. The results showed that all models produced strong predictive performance. Decision Tree achieved the highest accuracy at 93.1%, Logistic Regression produced the highest precision at 95.9% and the highest F1-score at 93.2%, while Support Vector Machine obtained the highest recall at 93.2%. These findings indicated that machine learning was feasible for predicting student academic performance in the study program. The study concluded that Logistic Regression provided the most balanced overall performance and had strong potential to support early academic intervention and data-based academic decision making in higher education.
PERANCANGAN APLIKASI KUIS SEDERHANA BERBASIS PEMROGRAMAN BERORIENTASI OBJEK DENGAN MENGGUNAKAN MICROSOFT VISUAL STUDIO Rosma Siregar; Bagoes Maulana; Henny Puspa Hendrani Nasution; Mhd Fadhlan Hawari; M.Raflie Alhadi; Yohanes Febrian Silalahi
Jurnal Intelek Insan Cendikia Vol. 2 No. 4 (2025): APRIL 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sebuah aplikasi kuis pemrograman dasar berbasis desktop dengan menerapkan paradigma Pemrograman Berorientasi Objek (PBO) menggunakan bahasa pemrograman VB.NET dalam platform Microsoft Visual Studio. Aplikasi dirancang menggunakan pendekatan multi-form serta prinsip event-driven programming, yang memungkinkan penyajian soal secara berurutan dan penilaian otomatis terhadap jawaban. Dengan desain modular dan sistem evaluasi yang berlangsung secara langsung (real-time), aplikasi ini diharapkan dapat berperan sebagai alat evaluasi yang menarik dan efisien dalam mendukung proses belajar pemrograman. Uji coba menunjukkan bahwa aplikasi berfungsi dengan baik tanpa memerlukan integrasi basis data.
Peningkatan Keamanan dan Efisiensi Kapal Nelayan Tradisional melalui Penerapan Sistem Kelistrikan dan Navigasi Fishfinder Solihin, Muhammad Dani; Siregar, Rosma; Sinaga, Desman Jonto; Rahmadini, Fathia; Astrid, Erita
Jurnal IPTEK Bagi Masyarakat Vol 5 No 2 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i2.1387

Abstract

Kegiatan ini bertujuan untuk membantu kelompok Nelayan Bahagia di Kelurahan Belawan 1, Kecamatan Medan Belawan dengan memberikan solusi terhadap permasalahan yang dihadapi, seperti rendahnya hasil tangkapan ikan akibat sarana yang kurang memadai. Solusi yang ditawarkan meliputi penerapan sistem kelistrikan dan alat navigasi fishfinder yang dapat membantu tempat tempat ikan berkumpul. Program ini akan dilaksanakan melalui beberapa tahapan, yaitu sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi keberlanjutan program. Metode yang digunakan mencakup pendekatan partisipatif dengan pelibatan langsung mitra dalam setiap tahap kegiatan, serta pendampingan berkelanjutan untuk memastikan keberlanjutan program. Dari hasil uji coba menunjukkan dalam penggunaan fishfinder, waktu operasional nelayan di laut dapat dipangkas hingga 25%, dan nelayan melaporkan peningkatan hasil tangkapan harian sebesar 20–25% dibandingkan sebelum penggunaan alat. Penerapan sistem kelistrikan dan navigasi fishfinder tidak hanya meningkatkan efisiensi energi dan hasil tangkapan, tetapi juga memberikan dampak sosial-ekonomi berkelanjutan bagi nelayan tradisional. Efisiensi bahan bakar menekan biaya operasional, sedangkan peningkatan hasil tangkapan memperbaiki kesejahteraan ekonomi. Pada sisi sosial, teknologi ini meningkatkan keselamatan, pengetahuan, dan solidaritas antar nelayan.
Performance Evaluation of a Mobile Attendance System Using Dual-Factor Dynamic Qr Code and Gps Geofencing Siregar, Rosma; Maulana, Bagoes; Muhammad Isnaini; Elsa Sabrina; Hutahaean, Harvei Desmon
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 06 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i06.2281

Abstract

This study develops and evaluates an Android-based attendance system integrating dual-factor authentication using dynamic QR codes and GPS geofencing to prevent proxy attendance in higher education. The system was developed using the Waterfall model and evaluated through quantitative experiments measuring response time, GPS accuracy drift, and security robustness via Black-Box testing. Results show high efficiency with an average response time below 1.5 seconds. GPS validation achieved an average drift of 4.2 meters outdoors and 12.5 meters indoors, remaining within the 30-meter geofencing threshold. The system successfully rejected unauthorized attempts, including out-of-range scans and fake GPS spoofing. These findings demonstrate that combining dynamic QR codes with GPS validation significantly improves attendance authenticity and system reliability compared to single-factor methods. The study provides empirical evidence of a robust and scalable solution for secure mobile-based attendance systems in higher education.
Performance Evaluation of a Mobile Attendance System Using Dual-Factor Dynamic Qr Code and Gps Geofencing Siregar, Rosma; Maulana, Bagoes; Muhammad Isnaini; Elsa Sabrina; Hutahaean, Harvei Desmon
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 06 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i06.2281

Abstract

This study develops and evaluates an Android-based attendance system integrating dual-factor authentication using dynamic QR codes and GPS geofencing to prevent proxy attendance in higher education. The system was developed using the Waterfall model and evaluated through quantitative experiments measuring response time, GPS accuracy drift, and security robustness via Black-Box testing. Results show high efficiency with an average response time below 1.5 seconds. GPS validation achieved an average drift of 4.2 meters outdoors and 12.5 meters indoors, remaining within the 30-meter geofencing threshold. The system successfully rejected unauthorized attempts, including out-of-range scans and fake GPS spoofing. These findings demonstrate that combining dynamic QR codes with GPS validation significantly improves attendance authenticity and system reliability compared to single-factor methods. The study provides empirical evidence of a robust and scalable solution for secure mobile-based attendance systems in higher education.
Co-Authors Abdurrahman, Umar Abel Frans Lamsihar Sinaga Ahmadi Irmansyah Lubis Ali Akbar Lubis Bagoes Maulana Bakti Dwi Waluyo Cut Fadhilah Dani Solihin, Muhammad Efendi, Muhammad Mulya Eka Dodi Suryanto Elsa Sabrina Erita Astrid Fatma Asisah Feri Setiawan Firdaus, Kevin Hamzah, Afif Hanapi Hasan Henny Puspa Hendrani Nasution Hutahaean, Harvei Desmon Kartika Sari Lusiyanti Lusiyanti M.Raflie Alhadi Marsangkap Silitonga Maulana, Bagoes Mhd Fadhlan Hawari Muhammad Dani Solihin MUHAMMAD ISNAINI Muhammad Isnaini Nunsina, Nunsina Pratama, Saras Purba, Julio Aldrin Putri, Tansa Trisna Astono Rahmadini, Fathia Ratih Tri Elsadin Reni Rahmadani SABRINA, ELSA Sihombing, Gracia Napare Simaremare, Sinta SINAGA, DESMAN JONTO Siti Julianita Siregar Supriadi Syahputri, Astri Tonggo Sinaga, Tonggo Umri Erdiansyah Yohanes Febrian Silalahi Yosa Steven Perangin Angin Yunansyah Siregar, Wal