Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sistem Informasi dan Ilmu Komputer
Martinus Komba
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Metode Certainty Factor untuk Mendiagnosa pada Tanaman Kacang Tanah Berbasis Web Martinus Komba; Cecilia Dai Payon Binti Gabriel; Martinus Malo Ngongo
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2025): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i1.4595

Abstract

Groundnut plants must be well maintained so that they can be food crops that have economic value and high fat and protein content. Many farmers still plant with the old pattern so that peanut plants are less fertile because they are affected by pests and other diseases. So with an expert system to diagnose peanut plants can help farmers or the general public in knowing the solution if experiencing problems or symptoms of this peanut plant. The application of the WP (weighted product) method can help the application become structured. From the results of the study, the expert system for diagnosing peanut plants can help many people for use as fundamental insights.
Co-Authors Cecilia Dai Payon Binti Gabriel Martinus Malo Ngongo