Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Sintaks Logika (JSilog)
Mide, Baharuddin
Unknown Affiliation
Computer Science & IT Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
APLIKASI VIRTUAL TOUR FAKULTAS TEKNIK BERBASIS ANDROID MOBILE Mide, Baharuddin; Masnur, Masnur
Jurnal Sintaks Logika Vol. 1 No. 2 (2021): Mei 2021
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.922 KB) | DOI: 10.31850/jsilog.v1i2.1095

Abstract

UMPAR at the age of 18 has walked through two phases, namely; the pilot phase, and the development phase.. The high school, namely STKIP Muhammadiyah Parepare at that time, fostered three study programs, namely the Mathematics Education, English Education and Non-Formal Education (PLS) study programs. The effort to transform into a university was initiated by Drs. Said Amir Anjala, M as well as the First Rector. Unity supports all file formats, especially common formats such as all formats from artapplications. Unity is compatible with 64 bit versions, can operate on Mac Os x, Windows and Can produce games for mac, windows, Wii, iphone, ipad and Android. The research method used is Literature Study and Observational Research. In making this application using the C # programming language. The need for making a virtual tour application in taking pictures using the google camera application. This research produces games that can be played offline on all computers with low specifications and also on Android smartphones.
Explainable rice yield from Sentinel-1 and Sentinel-2 satellite data for food security Tribuana, Dhimas; Sattar, Usman; Mide, Baharuddin; Dayanti, Dayanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp615-627

Abstract

Reliable, explainable crop-yield estimates are essential for food-security planning in data-sparse regions. We present a transparent pipeline for district-level (regency) rice yield prediction in Indonesia that fuses Sentinel-1 synthetic aperture radar (SAR), Sentinel-2 normalized difference vegetation index (NDVI), and weather/reanalysis features. The system standardizes inputs per province, fixes a 16-day temporal key, and uses a small, auditable ensemble of tree models (gradient boosting+light gradient-boosting machine (LightGBM)). Trained on ≤2023 data and evaluated on a 2024 temporal hold-out, a joint West Java ∪ South Sulawesi model achieves root mean square error (RMSE)≈0.80 t/ha, mean absolute error (MAE)≈0.48 t/ha, and R-squared (R²)≈0.33 at regency scale. Feature importances and Shapley additive explanations (SHAP) confirm that phenology (NDVI peak, integral, green-up/senescence), SAR backscatter (vertical transmit-vertical receive/vertical transmit-horizontal receive (VV/VH)), and wind/pressure are consistent drivers under monsoon conditions. The workflow supports routine, one-click provincial updates and produces parity maps and error bars for actionable diagnostics. These results demonstrate that combining Sentinel-1, Sentinel-2, and basic meteorology delivers accurate, interpretable, and operational yield signals suited to Indonesia’s food security needs, while providing a clear recipe for scaling to additional provinces.
Co-Authors Dayanti, Dayanti Dhimas Tribuana Masnur Masnur Sattar, Usman