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RANCANG BANGUN SISTEM PAKAR PENENTUAN PROGRAM STUDI UNTUK CALON MAHASISWA BARU MENGGUNAKAN METODE FORWARD CHAINING insan tri; Serlianti Waruwu; Agus Budiyantara
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.663

Abstract

The selection of study programs at ISTEK Widuri often becomes a challenge due to the absence of a structured decision support system. This research develops an expert system based on the forward chaining method to provide study program recommendations based on user input. The development stages include requirements analysis, rule formulation, interface design, implementation using PHP and MySQL, and testing using the black-box method. The system is capable of recommending four study programs: Communication Studies, Social Welfare, Informatics Engineering, and Information Systems. The testing results show that the system runs well and is able to provide appropriate recommendations. Therefore, this system can serve as an effective alternative in assisting prospective students in choosing their study program.
Penerapan Sistem Pakar untuk Mengukur Tingkat Stres Kerja Karyawan dengan Menggunakan Metode Forward Chaining Achmad Muzakir; Agus Budiyantara
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 3 (2026): Mei: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i3.1391

Abstract

An expert system is a computer-based program designed to simulate the reasoning and decision-making abilities of an expert in a particular field, enabling it to serve as a reference for specific conditions. This system integrates knowledge, rules, and experiences obtained from experts to support problem identification, provide recommendations, and determine appropriate decisions accurately. In this study, the expert system is utilized to measure employee stress levels based on the symptoms experienced by users. The diagnostic process is carried out using the forward chaining method, a reasoning technique that begins with facts or symptoms provided by the user and then matches them with IF–THEN rules to generate a conclusion or diagnostic result. Through the implementation of this method, the system is capable of providing employee stress assessments in a more structured, systematic, and rule-based manner according to the predefined knowledge base. The final outcome of this research is the development of a forward chaining–based expert system for measuring employee stress within a company environment, which can assist the diagnostic process more effectively and accurately.