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All Journal Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Jurnal Keperawatan Bina Sehat WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Jurnal Berita Ilmu Keperawatan Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal SOLMA Jurnal Agribest Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) JURNAL PENDIDIKAN TAMBUSAI Jurnal STIE Semarang (Edisi Elektronik) Infotekmesin Jurnal Midpro Transparansi Hukum Community Service Journal of Indonesia Jurnal Teknik Informatika (JUTIF) INTERNATIONAL JOURNAL OF SOCIAL, POLICY AND LAW (IJOSPL) UNISKA LAW REVIEW In Right: Jurnal Agama dan Hak Azazi Manusia Jurnal Janitra Informatika dan Sistem Informasi JASNA : Journal For Aswaja Studies Journal of Educational Sciences Klausula: Jurnal Hukum Tata Negara, Hukum Adminitrasi, Pidana dan Perdata Jurnal Pengabdian Ilmu Kesehatan Jurnal Simki Postgraduate Dinamika Hukum Dan Masyarakat Equalegum International Law Journal Kreativitas Pada Pengabdian Masyarakat (Krepa) Nusantara Community Empowerment Review Prosiding Seminar Nasional dan Call For Paper Kebidanan Universitas Ngudi Waluyo Jurnal Pengembangan Ilmu dan Praktik Kesehatan MADINA : Journal of Islamic Studies Masyarakat Mandiri dan Berdaya Visioner : Jurnal Manajemen dan Bisnis
Nur Chasanah
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A Web-Based Expert System Using Forward Chaining for Identifying Engine Power Loss Problems in the BMW 3 Series E36 Fawzi, Muhammad Ihsan; Permadi, Ipung; Chasanah, Nur; Ramadhany, Emha Diambang; Amirulbahar, Azis; Shofro, Puteri Awaliatush
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.6307

Abstract

The BMW 3 Series with production code E36, built between 1991 and 1998, remains widely owned in Indonesia, yet its age of more than two decades makes power loss a frequent complaint. Although the E36 engine is partially computerized, owners living far from an authorized or specialist workshop equipped with a diagnostic scanner cannot easily determine the cause of the power loss they experience. This study builds a web-based expert system, “Si Pak-E”, that identifies power loss problems on the BMW 3 Series E36 engine and recommends solutions. Knowledge was acquired through structured interviews with a BMW specialist mechanic and represented as a knowledge base of 22 problems, 33 symptoms, 22 solutions, and 22 production rules derived from a 33 × 22 decision table. Forward chaining was selected as the inference engine because diagnosis proceeds from observed symptoms toward a conclusion, while the waterfall model guided development. The system was implemented in PHP, MySQL, and Bootstrap with three user roles. Evaluation combined functional black-box testing with knowledge-base verification against the expert. Black-box testing executed 95 scenarios across 36 test cases and three roles, and all 95 (100%) produced the expected output. Rule-coverage verification traced all 22 production rules as consultation cases, and the system returned the problem and solution expected by the expert in 22 of 22 cases (100% agreement). The findings show that forward chaining is effective for symptom-driven automotive fault identification and that the system is a practical, transparent, and accessible diagnostic aid for E36 owners. Keywords: BMW E36, expert system, fault diagnosis, forward chaining, power loss, web-based.
Co-Authors Achmaluddin, Nazar Adil Abdillah Afriyani, Luvi Dian Agus Manfaluthi Aji, Baburrohman Al-Anshori, Huzaimah Aldila Dinanti, Aldila Amirulbahar, Azis Anandi, Normalita Rauffadilla Andi Wahju Rahardjo Anggraini, Lisa Siska Anik Supriani, Anik Anisa Nurina Aulia Anita, Rif'atul Annisa Efrilian Saepudin Ara Nugrahayu Nalawati Arifa, Nailatun Nahda Arri Handayani Artantojati, Sigit Astuty Lumbantoruan Atien Priyanti Azzahra, Hurum Benyamin, Evan Cahyaningrum Dadang Iskandar, Dadang Dana Indra Sensuse David Novan Setyawan, David Novan Dian Vitra Ismawati Diantono Abda’u, Prih Dini Rakhmawati Dova Akhbar Rahwi Gunandri Dwi Sembe Sigita Dwipayanti, Puteri Indah Eddy Maryanto Elin Cahyaningsih Emi Puasa Handayani Endang Setyowati Fajar Purwanto, Fajar Fandestika, Shafa Rizki Fatma Amilia, Fatma Fauziyah, Nabila Nur Ferbriana, Maria Guntur Satya Pramudya Hadi Purwanto, Nasrul Hazrullah Hidayat, Muhammad Miftachul Huzaimah Al-Anshor Ika Trisharyanti Dian Kusumowati Ipung Permadi Isnawati, Dian Joko Siswanto Joko Sulianto . . Kiftiyah Kiftiyah Kingkin Puput Kinanti Kurnia Indriyanti Purnamasari, Kurnia Indriyanti Kurniawan, Nadhifa Zahra Kurniawan, Yogiek Indra Laurensia Claudia Pratomo Luhita, Tiladela Lusa, Sofian M.Nur, Dany Miftah Manfaluthi, Agus Maulana Putri, Anisah Mohammad Rizky Pebrianto Muhammad Ihsan Fawzi Nofiyati Nofiyati Nur Alfi Ekowati Nur Faiz, Muhammad Peni Indrayudha Pradana, Haris Kondang Prasetyo, Agus Subhan Puji Tri Lestari Rahardjo, Andi Wahju ramadhany, emha diambang Ramaida, Rizka Amalia ROSYIDAH, NANIK NUR Sabrina, Hafifa Intan Savage, Eileen Shofro, Puteri Awaliatush Silvia Hendrayanti Sonya Brinda Sopi, Sopi Sri Wijayanti Sugianto, Victoria Angela Sukmiati, Dieny Supratman Supriyono Supriyono Teguh Cahyono Vera Virgia, Vera Victoria Angela Sugianto Wahyu Kristiningrum Wardani, Riska Aprilia Widiyawati, Rina Widya Anggraeni Windarti, Nuswantari Ayu Wulan Kurnianingtyas Wulandari, Octavia Yanuar E. Restianto Yusuf Falaq, Yusuf Ziadaturrohmah, Evi Zumrotun Nafiah