Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Literacy: Journal of Education and Social Science
Marsya, Jiwa Malem
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Development of a Computer-Based Information System at SMA Negeri 1 Lawe Sigala-gala Marsya, Jiwa Malem
Literacy: Journal of Education and Social Science Vol. 2 No. 02 (2025): Literacy: Journal of Education and Social Science
Publisher : Literacy: Journal of Education and Social Science

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

Abstract

Information systems (IS) are critical for the effective management of educational institutions. This study develops a computer-based information system (CBIS) at SMA Negeri 1 Lawe Sigala-gala to improve data management, administrative efficiency, and decision-making. The system integrates student, teacher, curriculum, and financial data into a centralized platform, supporting planning, organizing, leadership, and control functions. Feedback from teachers, staff, and students shows increased operational efficiency, reduced manual workload, and improved digital literacy. This research contributes to understanding the practical implementation of IS in schools under regional autonomy and provides recommendations for future improvements.
Pengabdian Kepada Masyarakat Melalui Kegiatan Sosial, Pendidikan, Dan Kesehatan Di Desa Pasir Gala, Kabupaten Lawe Bulan, Kabupaten Aceh Tenggara Marsya, Jiwa Malem
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 02 (2025): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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

Abstract

Community service in the form of social service carried out by the health team together with the education team of Gunung Leuser University lecturers and the Social Service Team of Southeast Aceh Regency provided tremendous benefits to the community of Pasir Gala Village, Lawe Bulan District, Southeast Aceh Regency. The activities included socialization on the prevention of underage marriage, maternal and child health education, drug abuse education, and education. The purpose of conducting these activities is to provide health and education services, as well as social service, to the community in order to achieve community well-being in the fields of health and education, and to enhance social awareness and concern among fellow human beings. The activity was held on August 20, 2025, involving the Head of Women's Protection and Children's Rights Fulfillment of DINSOSP2KBP3A, as well as education by lecturers from Gunung Leuser University and medical personnel such as sub-district midwife coordinators and nurses. A total of 90 participants attended, consisting of 15 people for the socialization of preventing underage marriage, 35 participants in maternal and child health education, and 25 participants in DINSOS and NAPZA education at SMPN 1 Lawe Sigala-gala, along with 15 lecturers from Gunung Leuser University.
Application of Data Mining Method to Predict Soil Quality Based on Environmental Parameters Marsya, Jiwa Malem
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 6 No. 03 (2024): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v6i03.1190

Abstract

Employee performance appraisal is an important aspect of human Soil quality is a critical factor in agriculture and environmental conservation, as it directly impacts agricultural productivity and ecosystem sustainability. Traditional methods of monitoring and evaluating soil quality based on environmental parameters, such as pH, moisture content, temperature, and humidity, can be time-consuming and costly. This research aims to explore the application of data mining techniques to predict soil quality using various environmental parameters. Data mining, particularly machine learning algorithms such as decision trees, support vector machines (SVM), and neural networks, allows for the extraction of hidden patterns and relationships in large datasets, providing an efficient approach for soil quality prediction. The study utilizes data from soil samples, including parameters like pH, moisture content, temperature, and other environmental variables, to develop predictive models. The effectiveness of different data mining techniques is evaluated based on their accuracy and efficiency in predicting soil quality. The results of this study are expected to contribute to the development of reliable and rapid tools for assessing soil quality, which could be applied in agricultural management, land conservation, and environmental monitoring.By leveraging data mining techniques, this research provides insights into the potential for improving soil management practices and supporting sustainable agriculture. The findings of this study may offer valuable recommendations for farmers, land managers, and environmentalists in making informed decisions for better land use and conservation strategies.
Co-Authors