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All Journal Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JURIKOM (Jurnal Riset Komputer)
Opim Salim Sitompul
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Implementation Of Face-To-Face Online Learning System Based On Audio Video, Presentation And Chat Using The Moodle E-Learning Platform Nababan, Erna Budhiarti; Opim Salim Sitompul; Dedy Arisandi; Seniman
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2021): ABDIMAS TALENTA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.999 KB) | DOI: 10.32734/abdimastalenta.v6i1.5348

Abstract

Currently, the implementation of teaching and learning at SMP Negeri 1 Binjai Kwala Begumit was done in the classroom alternately. However, with the current condition of pandemic covid-19, the learning process no longer carried out fully in schools. The school has not been using information technology in the form of e-learning applications in the teaching and learning process. The school has difficulty in recording the existing teaching and learning process: assignments, exams, assessments, and other activities. Therefore the use of e-learning applications is now very much needed. With existing school facilities, such as internet facilities and the ICT teachers, training in developing and implementing e-learning for teaching staff become the best alternative so that learning process can be done properly.
Analisis Prediktif Ketahanan Pangan Berbasis Data Spasial Dengan Metode Random Forest Dan Cellular Automata Di Provinsi Nusa Tenggara Timur Butar-Butar, Yulia Shafira; Opim Salim Sitompul; Amalia Amalia
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 5 (2025): Oktober 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i5.9234

Abstract

Food security remains a key concern in sustainable development, especially in regions like East Nusa Tenggara (NTT) that are prone to drought and land conversion. This study aims to explore future food security in NTT by applying spatial data and predictive models to forecast conditions in 2030. Two main approaches were used: the Cellular Automata–Artificial Neural Network (CA–ANN) model to simulate land cover changes, and the Random Forest Regressor to predict rice productivity using environmental variables such as NDVI, land surface temperature, rainfall, elevation, and slope. The CA–ANN model showed strong spatial accuracy at 87.6%, with results indicating a decrease in cropland in several areas. The Random Forest model performed well with an R² of 0.90 and RMSE of 1.74, highlighting elevation and temperature as key drivers of productivity. By 2030, projections suggest a rice deficit of 221,000 tons, equivalent to more than 790 billion kilocalories. These findings underscore the urgency for local governments to adopt data-driven approaches when planning for sustainable food security in the years ahead.
Co-Authors Amalia Amalia Butar-Butar, Yulia Shafira Dedy Arisandi Erna Budhiarti Nababan Seniman