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Web-Based Expert System for Diagnosing Chicken and Duck Diseases Using the Dempster–Shafer Method Sella Adelia; M. Abu Jihad Plaza R
Jurnal Info Sains : Informatika dan Sains Vol. 15 No. 02 (2025): Info sains, Desember 2025
Publisher : SEAN Institute

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Abstract

Poultry farming, particularly chicken and duck production, makes a significant contribution to the supply of animal-based protein in Indonesia. However, the high vulnerability of poultry to infectious diseases such as Newcastle Disease, Avian Influenza, Cholera, and Pullorum often results in severe economic losses and impacts public health. The problem is further complicated because disease diagnosis in the field is still largely performed manually by farmers or veterinary personnel, which often requires considerable time, cost, and expertise, while similarities in symptoms among diseases frequently lead to misidentification. To address these issues, this study developed a web-based expert system using the Dempster-Shafer method. This method was selected because it can process uncertain data by combining evidence to generate more representative measures of belief and plausibility. The research stages included problem identification, data collection through interviews and literature studies, system design using the CodeIgniter framework based on the MVC model with PHP and MySQL, implementation of the Dempster-Shafer algorithm in the inference engine, and field testing at Ternak Hasbuan Kebun IV, Kotabumi. The developed system provides features such as a dashboard, symptom input, inference process, diagnosis results, and diagnosis history. Testing results showed that the system achieved an average compatibility rate of 88.76% compared to veterinary expert diagnoses, with system confidence values ranging from 84.6% to 92.4%. These findings demonstrate that the system can serve as a practical solution for farmers to perform independent diagnoses, accelerate disease identification, and effectively support poultry health management. The novelty of this research lies in the integration of dual-species (chicken and duck) diagnosis within a single web-based platform, validated directly through field testing.
Sistem Informasi Absensi Pegawai Kantor Desa Berbasis Web (Studi Kasus: Kantor Desa Way Lunik Kecamatan Abung Selatan) Suranti, Tri; M. Abu Jihad Plaza R
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

This research is motivated by the manual process of employee attendance recording at the Way Lunik Village Office, South Abung District, which is often time-consuming, prone to errors, and vulnerable to data manipulation. Therefore, the primary objective of this study is to design and implement a Web-Based Employee Attendance Information System as a digital solution to overcome these challenges. The design and development of this system adopt the Waterfall method. This method was chosen due to its linear and structured approach, starting from the stages of system and user requirements analysis, interface and database design, coding (implementation), and thorough system testing. The developed information system focuses on providing features for online clock-in and clock-out, managing employee data, and automating report generation. The results of the system implementation show a significant increase in administrative efficiency. The web-based system is capable of presenting attendance data accurately and in real-time, which was previously difficult to achieve with manual methods. The presence of digital features also successfully minimizes the potential for fraud and recording errors. Furthermore, the system provides structured daily, monthly, and performance recapitulation reports that are fast and readily available for the Village Head's use. Thus, this information system effectively supports the enhancement of employee accountability and serves as a vital tool for decision-making regarding the discipline and performance evaluation of village employee.