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All Journal Jurnal Sintaks Logika (JSilog)
Lumentut, Hence
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Computer Science & IT

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Perancangan Aplikasi Game Edukasi Pengenalan Buah Siswa Berbasis Android Untuk Sekolah Dasar Lumentut, Hence; Rumagit, Silviani; Karen Tuuk, Gabriela
Jurnal Sintaks Logika Vol. 5 No. 1 (2025): Januari 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jsilog.v5i1.3524

Abstract

The Educational Game Application of Fruit Design introduction for Elementary School and Android-based Kindergarten, is one of the android-based applications specifically designed for Education and also Games to introduce Fruits to PAUD and Kindergarten students to stimulate the learning process of students to have an interest in getting to know the fruits that are around us. This Android Educational Game Application is designed using a Prototype model system design approach which has the advantage of being able to work with a small team of even just one person, prototypes are also versatile in making a finished application and then shown to system users, whether it is in accordance with user needs or not, if not then adjustments will be made as necessary. To show the system and design of this application using the UML (Unified Modeling language) method which shows modeling diagrams and testing using Black Box Testing. Based on the results of this Educational Based Application, it shows that the game can be made to teach PAUD and TK students and can also stimulate interest in learning because it is equipped with games to test students' knowledge about the types of fruits that are around us.
Sistem Pakar Berbasis Backward Chaining untuk Meningkatkan Ketahanan Tanaman Jagung Esther Rumagit, Silviani; Lumentut, Hence; Alfons Ansanay, Yohanis
Jurnal Sintaks Logika Vol. 5 No. 2 (2025): Mei 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jsilog.v5i2.3689

Abstract

Corn is one of the leading food commodities in Indonesia, and it has a vital role in national food security. However, corn productivity often decreases due to the attacks of various types of plant diseases. Limited knowledge of farmers about the symptoms and types of corn diseases is one of the obstacles to proper and fast handling. Therefore, this study aims to build an expert system that can assist farmers in diagnosing corn diseases based on the symptoms shown. This system uses the Backward Chaining method, which tracks logic from conclusions (disease hypotheses) to the facts (symptoms) that support it. The tracing process is carried out until the appropriate facts are found to decide on the diagnosis of the disease. The system design is carried out using the prototype system development method. The testing is carried out by the Black Box Testing method to ensure that all system functions run as expected. The test results show that this expert system can provide accurate diagnoses, assist users in recognizing the type of corn disease, and provide treatment advice. Hopefully, this system can increase the effectiveness of handling corn diseases and support crop productivity.
Co-Authors Alfons Ansanay, Yohanis Esther Rumagit, Silviani Karen Tuuk, Gabriela Rumagit, Silviani Wawan Nurmansyah, Wawan