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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IJoICT (International Journal on Information and Communication Technology)
Musdalifa
Tadulako University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Environmental Science Materials Science & Nanotechnology Physics

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Synergy of Technology and Agriculture through the Development of a Web-Based Expert System for Cocoa Disease Diagnosis Using the Certainty Factor Method Kevin Yanto; Musdalifa; Moh Ali Akbar A Dg Matona; Juni Wijayanti Puspita
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 2 (2025): Vol. 11 No. 2 Dec 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i2.9986

Abstract

Cocoa (Theobroma cacao L.) is one of the leading agricultural commodities that plays a vital role in Indonesia’s economy. However, its productivity is often hindered by pest and disease attacks. On the other hand, the limited availability of agricultural experts and the difficulties faced by farmers in accessing guidance and information regarding plant diseases highlight the urgent need for a system that can assist in identifying problems quickly and accurately. This study aims to develop a web-based expert system capable of diagnosing pests and diseases in cocoa plants using the Certainty Factor (CF) method. The system incorporates data on 9 types of diseases and 6 types of pests along with their symptoms. Diagnosis is performed by calculating certainty values based on a combination of expert confidence and user input using CF formulas. With a web-based interface, the system can be easily accessed by farmers via the internet. The diagnostic results of this system show a similarity rate of 93.33% with those of other studies. This finding indicates that the CF approach demonstrates competitive performance. Therefore, this system has the potential to serve as an effective tool in supporting cocoa plant health management by farmers.Keywords: Disease diagnosis, Cocoa, Certainty factor method, Web-based expert system
Penerapan E-modul anthropogenic climate change untuk meningkatkan keterampilan berpikir Kreatif Musdalifa; Darsikin; Unggul Wahyono; Sitti Rahmawati
Jurnal Penelitian Pendidikan IPA Vol 12 No 5 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i5.11983

Abstract

This study aims to develop an e-module on anthropogenic climate change to enhance students' creative thinking skills. This research is a Research and Development (R&D), using the ADDIE development model. The research was conducted at MAN Tolitoli, taking 28 students each from the experimental class and the control class as comparators in this study. The results of the Cohen's effect size analysis yielded 0.48, categorised as medium, and there was also a significant increase in creative thinking skills in the experimental class, which improved from the category of fairly skilled to skilled and even very skilled in each session. Additionally, there was an improvement in the posttest results of the students in the experimental class.
Co-Authors Darsikin Juni Wijayanti Puspita Kevin Yanto Moh Ali Akbar A Dg Matona Sitti Rahmawati Unggul Wahyono