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Journal : Jurnal Penelitian Rumpun Ilmu Teknik

Sistem Informasi Kepegawaian Dinas Pendidikan Kepemudaan dan Olahraga (DPKO) Kabupaten Sumba Barat Berbasis Web Menggunakan Framework Laravel Vanrias Ringu Lango; Adelbertus Umbu Janga; Karolus Wulla Rato
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4388

Abstract

This research aims to design and implement a web-based personnel information system for the West Sumba Regency Education, Youth and Sports Service (DPKO) using the Laravel framework. This system is designed to make it easier to manage personnel data which includes employee data, attendance, payroll and various other personnel-related information. By utilizing the Laravel framework, this system is expected to be able to provide convenience in managing data efficiently, structured and securely. The use of Laravel was chosen because of its advantages in developing web applications that are fast, safe, and supported by complete features. The results of this research show that the personnel information system being developed can speed up the process of processing employee data, reduce errors in data input, and provide convenience in making data-based decisions. Evaluation of this system was carried out through functionality and performance testing, which showed that this system worked well in accordance with the needs of the West Sumba Regency DPKO.
Penerapan Sistem Pakar untuk Mendiagnosa Penyakit Pencernaan dengan Metode Certainty Factor Andreas Ariyanto Rangga; Karolus Wulla Rato
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 2 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4872

Abstract

Expert systems are one of the fields of artificial intelligence (AI) that seeks to adopt human knowledge into computers, so that computers can solve problems as experts usually do. One of the problems handled by expert systems is diagnosis in the health sector, such as to diagnose early suspicions of human digestive diseases commonly known as digestive disorders. The expert system in this study was created in the form of a Web-based application. The application of an expert system with the certainty factor method is used to diagnose diseases in the human digestive system. Digestive diseases in this application are limited to diarrhea, gastritis, dysentery, gastric tumors (benign tumors of the stomach), and appendicitis (appendix). The application of an expert system for digestive diseases in humans contains information on diseases, symptoms, and follow-up treatment. This application can be used as an alternative media for diagnosing digestive diseases, and can help users predict the disease they are suffering from based on the symptoms experienced by the user. The expert system created using the certainty factor method, which means this method provides information related to the disease into a possibility, namely happening and not happening and not knowing. The system design used to illustrate the creation of an expert system consists of context diagrams and data flow diagrams and ERD (Entity Relationship Diagram)