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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Media Teknik Elektro dan Komputer
Prayogi, Ahmad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Penerapan Algoritma Naive Bayes Untuk Memprediksi Tingkat Stres Mahasiswa Prayogi, Ahmad; Furqan, Mhd.
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.928

Abstract

Academic-related stress is a critical issue that can adversely affect students’ mental health and academic performance. This study wants to create a system that can predict how stressed students are. It uses the Naïve Bayes algorithm. Naïve Bayes is a way of classifying things using probabilities. It is based on Bayes’ Theorem and makes a key assumption that each feature is independent. It works by calculating the chances of different outcomes to decide which category something belongs to. Primary data were collected from 117 students of Universitas Islam Negeri Sumatera Utara through a questionnaire based on the Transactional Model of Stress and Coping by Lazarus and Folkman, covering academic, emotional, social, and psychological factors. The research stages included data cleaning, feature selection, training-testing data splitting, model training, and performance evaluation. The results indicated an accuracy rate of 95%, with optimal performance in predicting low and moderate stress categories. The model was implemented in an Android-based application developed using Flutter and integrated with a Flask API, enabling users to perform self-assessment and receive stress management recommendations according to their predicted category. This study makes a practical contribution to the early detection of student stress levels, supporting preventive interventions and enhancing the effectiveness of mental health services in higher education institutions
PENGEMBANGAN SISTEM INFORMASI UNTUK PENGARSIPAN DATA PED (PLANNING, ENGINNER, & DEPLOYMENT) DI TELKOM INDONESIA REGIONAL 1 SUMATERA Prayogi, Ahmad; Selian, Teguh Agara
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 1 (2025): Metrokom : Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i1.103

Abstract

Digital transformation in data management has become a strategic necessity for telecommunications companies such as PT Telkom Indonesia, particularly in Regional 1 Sumatra. One of the challenges faced is the manual process of archiving PED (Planning, Engineering, & Deployment) data, which is prone to data loss, delayed access to information, and low operational efficiency. To address these issues, this study aims to develop a web-based data archiving system capable of managing PED data systematically, securely, and easily accessible by authorized users. The system development methodology used is Waterfall, starting from needs analysis, system design, implementation, to testing. The system was built using XAMPP as the development platform, PHP as the backend programming language, and MySQL as the database system. Testing was conducted using the Blackbox method to evaluate system functionality based on real-world user scenarios. The development results show that the system built is capable of effectively handling archiving processes, including document upload features, archive search, metadata input, and user access rights management. This system significantly improves work efficiency, recording accuracy, and data security. Thus, the PED archiving information system is expected to become a digital solution that supports operational transformation in Telkom Indonesia Regional 1 Sumatra.
Co-Authors Mhd Furqan Selian, Teguh Agara