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All Journal bit-Tech JURNAL REKAYASA INFORMASI SWADHARMA (JRIS)
Tampubolon, Lely Priska Dameria
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Computer Science & IT

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PENERAPAN METODE TOPSIS DALAM SISTEM REKOMENDASI PILIHAN KUDA LATIHAN TERBAIK PADA STEBEL KENTAUROS RIDING SCHOOL Pratama, Dicka Selamet Putra; Rachmadi, Pratiwi; Tampubolon, Lely Priska Dameria
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.832

Abstract

Horses are currently not just riding animals but are also used as a hobby and a sport such as Equestrian. The current problem for customers who do not know about horse riding is that they must first consult the trainer to determine which horse is suitable. This consultation causes a queue if many customers want to rent simultaneously. This study aims to build a recommendation system for the best training horse choices for Stebel Kentauros Riding School customers. The method used is the Topsis method with the criteria of horse skills, horse weight, horse character, horse age, and horse speed with choices of Pony Horses, Sumba Horses, Lutisano Horses, Womblat Horses, and Sport Horses. To build the system using the Waterfall method with modeling using UML. The results of the study are in the form of a web-based application using the PHP and MySQL programming languages to provide recommendations for horses, trainers, and rental prices that can be selected by customers based on input criteria from customer.Kuda saat ini bukan hanya sekedar hewan tunggangan saja melainkan juga digunakan sebagai hobi serta sarana olahraga seperti Equestrian. Permasalahan saat ini untuk pelanggan yang tidak memiliki pengetahuan berkuda, harus berkonsultasi terlebih dahulu dengan pelatih untuk mengetahui kuda mana yang cocok digunakan. Hal ini menyebabkan antrian dalam berkonsultasi jika banyak pelanggan yang ingin menyewa pada saat bersamaan. Penelitian ini bertujuan untuk membangun sistem rekomendasi pilihan kuda latihan terbaik untuk pelanggan Stebel Kentauros Riding School. Metode yang digunakan adalah metode Topsis dengan kriteria skill kuda, bobot kuda, karakter kuda, usia kuda dan kecepatan kuda dengan alternatif pilihan Kuda Pony, Kuda Sumba, Kuda Lutisano, Kuda Womblat dan  Kuda Sport. Untuk pembangunan sistemnya menggunakan metode Waterfall dengan pemodelan menggunakan UML. Hasil penelitian berupa aplikasi berbasis web dengan menggunakan bahasa pemograman PHP dan MySQL untuk memberikan rekomendasi kuda, pelatih dan harga sewanya yang dapat dipilih oleh pelanggan berdasarkan inputan kriteria dari pelanggan.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JASA PENGIRIMAN BARANG KE WILAYAH TIMUR INDONESIA David, Mohamad; Tampubolon, Lely Priska Dameria
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.891

Abstract

The objective of the research is to design a decision support system for selecting shipping services to the eastern region of Indonesia. The method used is the simple additive weighting (SAW) method, which considers four criteria: Admin Service, Shipping Price, Shipping Speed, and Goods Security. The alternatives for the courier companies used are Jastip Barakati, Jastip Alf, Jastip Duo Amir, and Jastip 42. The research results, based on SAW method calculations for the four existing alternatives, show scores of Jastip Barakati (0.295), Jastip Alf (0.948), Jastip Duo Amir (0.923), and Jastip 42 (0.836), with Jastip Alf being the first choice due to its highest score. As for the criteria, the highest priority is on the item security criterion.Tujuan penelitian adalah untuk merancang sistem pendukung keputusan pemilihan jasa pengiriman barang ke wilayah timur Indonesia. Metode yang digunakan adalah metode  simple additive weighting (SAW) dengan empat kriteria yaitu Layanan Admin, Harga pengiriman, Kecepatan pengiriman dan Keamanan barang. Alternatif perusahaan pengiriman barang yang digunakan yaitu Jastip Barakati, Jastip Alf, Jastip Duo Amir dan Jastip 42. Hasil penelitian berupa hasil perhitungan metode SAW terhadap empat alternatif yang ada menunjukan skor Jastip Barakati (0.295), Jastip Alf (0.948), Jastip Duo Amir (0.923) dan Jastip 42 (0.836), sehingga pilihan pertama dengan skor tertinggi yaitu Jastip Alf. Sedangkan untuk kriterianya, prioritas tertinggi pada kriteria keamanan barang.
Smart Diagnostic Assistant for Peugeot 406: A Web Expert System Based on Production Rules Broto, Gilang; Tampubolon, Lely Priska Dameria
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2696

Abstract

This research presents the development of a web-based expert system for diagnosing engine faults in Peugeot 406 vehicles, addressing the challenge of limited access to model-specific diagnostic tools particularly in remote or underserved regions where authorized service centers are scarce and the resulting difficulty in early identification of mechanical issues. The system employs a forward-chaining inference method coupled with a depth-first search (DFS) algorithm for rule traversal within a structured knowledge base of 25 engine symptoms and 13 fault types, all formulated through expert interviews and literature review. Through IF THEN production rules, users input observable symptoms via an intuitive, non-technical interface to receive preliminary diagnoses. System testing encompassed simulated case studies covering the full spectrum of defined fault types as well as real-world trials with Peugeot 406 owners in workshop settings, demonstrating over 85% consistency with professional mechanic evaluations. These findings underscore the system’s potential to improve diagnostic efficiency, reduce repair costs, and extend vehicle longevity by enabling timely, data-driven interventions. The implementation of this rule-based expert system thus offers an effective solution for empowering vehicle owners in areas with restricted service access, and future enhancements such as integration of real-time OBD and IoT sensor data, multilingual support, and adaptive machine-learning rule updates are expected to further boost accuracy, flexibility, and user reach.
Co-Authors Broto, Gilang David, Mohamad Pratama, Dicka Selamet Putra Rachmadi, Pratiwi