Cecilia Dai Payon Binti Gabriel
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Sistem Informasi Profil Sekolah di SD Negeri 4 PUU KAPAKA menggunakan Framework Codeigniter Rosa Vergenia Dendo; Cecilia Dai Payon Binti Gabriel; Titus Kurra
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.v3i1.4574

Abstract

The development of IT has a huge impact, so all information can be obtained easily and quickly. In addition, technology can help many humans in all activities in organizations, companies, and schools. Researchers designed an information system to provide an overview or profile of an elementary school, SD Negeri 4 Puu Kapaka. The system was built using the PHP and MySql programming languages with the codeigniter framework. The school profile information system can provide information about schools, facilities, news, and also activities that have been carried out by the school. The results of this study show that this application using the Codeigniter framework can meet the needs of the system desired by the school.
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.