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All Journal Jurnal Pendidikan dan Pengajaran Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Sains dan Teknologi Jurnal Pendidikan Indonesia Techno.Com: Jurnal Teknologi Informasi JOIV : International Journal on Informatics Visualization INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Penjaminan Mutu Journal of Educational Research and Evaluation Journal of Education Technology CSRID (Computer Science Research and Its Development Journal) International Journal of Advances in Data and Information Systems Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Armada Informatika MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Penjaminan Mutu Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Cemara Education and Science
Purba, Ramen Antonov
STMIK Methodist Binjai
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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DSS Determines the Best Urban Village in handling COVID-19 Using AHP Method Purba, Ramen Antonov
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9384

Abstract

This study aims to develop a Decision Support System (DSS) using the Analytic Hierarchy Process (AHP) method to determine the best-performing urban village in handling COVID-19 in Medan City, Indonesia. The research addresses the problem of the absence of a structured, data-driven evaluation model to objectively measure the performance of 151 urban villages across 21 sub-districts during the pandemic. Four criteria were used in the decision-making process: number of deaths, number of recovered patients, number of active cases, and the level of community compliance. The DSS, developed using a website-based programming language and integrated with the AHP method, generated weighted scores and ranked all evaluated villages. The results indicate that Harjosari I Village (A1), located in Medan Amplas Sub-district, achieved the highest overall score and was identified as the best urban village in handling COVID-19. System usability testing also produced very positive results, with Clarity of Instructions (90), Material Content (90), Discussion (93), and Interface Appearance (90), yielding an average score of 90 categorized as Very Adequate. This study contributes a validated web-based DSS model that supports objective evaluation, enhances transparency, and strengthens evidence-based decision-making for local governments in managing public health crises.
Integration of Machine Learning and GAP Analysis for a Data Driven Lecturer Performance Evaluation System Purba, Ramen Antonov; Bukit, Tori Andika
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1481

Abstract

The objective of this research is to design and implement a performance evaluation system that combines Machine Learning for data processing, predictive modeling, and pattern recognition with the GAP method to measure discrepancies between expected competencies and actual performance. Eight primary criteria were cooperation, communication, initiative, alertness, discipline, leadership, problem solving, time usage each consisting of several sub-criteria. The study involved 18 lecturers, and the evaluation was conducted using a web-based decision support system equipped with machine learning models trained to classify performance levels and identify underlying patterns within the assessment data. System usability was examined through four categories: ease of use, completeness, accuracy, and interface composition. The results show that the integrated system successfully identified the highest-performing lecturer (Lecturer 7) with a score of 6.1801, followed by Lecturer 12 with 4.9314 and Lecturer 4 with 4.1157. Usability testing also yielded positive outcomes, with scores of 89% for ease of use, 87% for completeness, 90% for accuracy enhanced through machine learning validation and 88% for interface composition. These results produced an overall average of 88%, classifying the system as Very Worthy. In conclusion, integrating Machine Learning and GAP Analysis in a web-based DSS significantly improves the effectiveness and efficiency of lecturer performance evaluation. The system accelerates data processing, enhances assessment quality, and strengthens decision-making through predictive analytics and automated classification. This framework offers a valuable reference for future performance evaluations in higher education institutions seeking accountability, transparency, and data-driven decision-making.
SMART NETWORK REFERENCE DICTIONARY DEVELOPMENT USING WATERFALL FRAMEWORK MODEL TO IMPROVE LEARNING OUTCOMES Purba, Ramen Antonov
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 7 No. 1 (2026): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v7i1.4013

Abstract

The purpose of this study is to develop a Smart Network Reference Dictionary using the Waterfall Framework Model to improve student learning outcomes. Information technology plays an essential role in enhancing student competence and expertise, especially in the Industrial Era 4.0, which demands skills aligned with the needs of industry and the business sector. Computer Networking is one of the subjects that requires strong mastery. Based on observations and interviews with lecturers at STMIK Methodist, out of 28 students, only seven passed with excellent categories, 11 with good categories, and ten did not pass, indicating the need for more effective learning support tools. This study developed the Smart Network Reference Dictionary using the SDLC approach with the Waterfall model and conducted validation through Black Box Testing and Alpha Testing, with Likert-scale analysis used to classify the results. The developed application achieved the Very Appropriate category, with assessment scores of 85.3%, 82.8%, and 86.0%, all of which fall under the Very Eligible classification. Furthermore, the learning outcomes of the experimental class improved significantly, as shown by the higher average pretest–posttest score range compared with the control class. Thus, the development of the Smart Network Reference Dictionary using the Waterfall Framework Model not only produces a high-quality application but also effectively enhances student learning outcomes in the Computer Networking course at STMIK Methodist.
Pengendalian Lengan Robot Berbasis IoT Menggunakan NodeMCU Melalui Website Kevin Leonardo Tanata; Pilipus Tarigan; Ramen Antonov Purba
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.204

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sebuah lengan robot yang dapat dikendalikan dari jarak jauh menggunakan website melalui perangkat seluler. Latar belakang penelitian ini didasari oleh keterbatasan lengan robot konvensional yang cenderung kaku, sulit dipindahkan, dan memiliki sistem kontrol yang rumit. Untuk mengatasi permasalahan tersebut, penelitian ini menerapkan teknologi Internet of Things (IoT) dengan menggunakan NodeMCU ESP8266 sebagai pusat kendali yang terhubung ke internet tanpa memerlukan kabel. Metode yang digunakan adalah pendekatan rekayasa sistem yang meliputi studi pustaka, perancangan perangkat keras dan lunak, serta pengujian fungsional. Robot ini dibangun menggunakan empat motor servo untuk menggerakkan sendi lengan dan gripper, serta dua dinamo DC dengan driver motor L298N untuk mobilitas robot. Antarmuka kontrol dikembangkan berbasis website menggunakan HTML, CSS, dan Javascript. Hasil penelitian menunjukkan bahwa sistem berhasil berfungsi dengan baik, di mana lengan robot mampu merespons perintah dari website secara real-time dengan jeda waktu yang sangat minim, serta mampu melakukan tugas pengangkatan objek ringan secara efektif
Co-Authors Ambiyar, Ambiyar Arrijal Asri Daulay Buaton, Relita Bukit, Tori Andika David Jumpa Malem Sembiring Ginting, Kalvin Kevin Leonardo Tanata Munthe, Rikawati Ginting Pilipus Tarigan Romanus Damanik Simarmata, Janner Sinek Mehuli Br Perangin-Angin Sondang, Sondang TONNI LIMBONG Unung Verawardina