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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Pengabdian Masyarakat Tekno
Windhy Widhyanty
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Engineering

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Peningkatan Minat dan Kesiapan Akademik Siswa melalui Simulasi Edukatif Budi Luhur College Rizka Tiaharyadini; Zaqi Kurniawan; Windhy Widhyanty
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 6 No 1 (2025): Juni 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v6i1.6671

Abstract

The transition from high school to higher education is a critical phase that demands academic readiness, mental preparedness, and strong student motivation. However, many high school students still have limited understanding of university life and the realities of the academic process. The lack of exposure to campus environments contributes to low motivation and inadequate preparation for continuing their studies, highlighting the need for a more contextual and interactive educational approach. In response, the Budi Luhur College 2025 program was designed to provide direct experience through lecture simulations, computer laboratory practicums, and faculty excursions. The program engaged 160 Grade XI students from SMA Budi Luhur, conducted over 14 sessions from February 14 to May 30, 2025. Evaluation results showed a significant increase in student satisfaction, with the number of students rating the program as “good/very good” rising from 38 at the beginning to 47 by the end. Additionally, 82% of participants reported improved understanding of campus life, and 75% stated they felt more prepared to pursue higher education. The most influential satisfaction factors were direct lecture experience (31.2%) and faculty excursions (31.2%). These findings suggest that the participatory and simulation-based approach used in the program is effective in enhancing students’ academic orientation and motivation. This success presents opportunities for future program expansion, either as an annual institutional initiative or as a sustainable collaborative community service model.
ANALYZING CLIMATE IMPACTS ON RICE PRODUCTION IN SUMATRA THROUGH SPATIOTEMPORAL MACHINE LEARNING MODELS Zaqi Kurniawan; Rizka Tiaharyadini; Puguh Jayadi; Windhy widhyanty
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7344

Abstract

Climate variability poses a major challenge to rice production in Sumatra, a key contributor to Indonesia’s food security. This study aims to analyze spatiotemporal climate impacts on rice yields by integrating climatic, geographical, and agricultural datasets. Historical records from 1993–2024, including rainfall, temperature, humidity, and rice production statistics, were collected from BMKG, BPS, and the Ministry of Agriculture. After preprocessing and feature selection, six machine learning algorithms—Linear Regression, Random Forest, Gradient Boosting, Support Vector Regression, Decision Tree, and K-Nearest Neighbors—were evaluated for predictive performance. Results show significant spatial heterogeneity: rainfall strongly affects yields in Aceh and North Sumatra, while temperature stress is critical in southern provinces. Among the tested models, Random Forest achieved the best accuracy (R² = 0.985), outperforming other algorithms. These findings highlight the importance of localized adaptation strategies and demonstrate the potential of ensemble machine learning to support climate-resilient rice production.
Co-Authors Puguh Jayadi Rizka Tiaharyadini Zaqi Kurniawan