Main Article Content

Bagus Dwi Cahyono
Dias Eka Kusuma

Abstract

An expert system is a system that tries to adopt human knowledge into washing machines, so that users can solve problems as experts usually do, and a good expert system is designed to be able to solve a particular problem by imitating the work of experts. Currently handling customer complaints to technicians about fault of washing machines takes quite a long time, and for each handling it takes quite a long time. This system aims to diagnose fault and provide information on repair solutions that can be carried out. This expert system uses the forward chaining method and literature study in Delphi. Based on testing this expert system, it shows that this expert system is able to help solve problems effectively

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How to Cite
Cahyono, B. D. . and Kusuma, D. E. . (2024) “Development of an expert system for fault diagnosing of washing machines using Delphi 7”, Jurnal Mantik, 7(4), pp. 3506-3514. doi: 10.35335/mantik.v7i4.4817.
References
A, G. A. K. T., Delima, R., & Proboyekti, U. (2009). Penerapan Forward Chaining Pada Program Diagnosa Anak Penderita Autisme. Jurnal Informatika, 5(2).
Ahmad, N. (2020). Metode Forward Chaining untuk Deteksi Penyakit Pada Tanaman Kentang. JINTECH?: Jurnal of Information Technology, 1(2), 7–19. www.journal.ar-raniry.ac.id/index.php/jintech
Ayu, G., Sugiharni, D., Gede, D., & Divayana, H. (2017). Pemanfaatan Metode Forward Chaining Dalam Pengembangan Sistem Pakar Pendiagnosa Kerusakan Televisi Berwarna. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 6(1).
Ayu, G., Tutik, K., Delima, R., & Proboyekti, U. (2009). Penerapan Forward Chaining Pada Program Diagnosa Anak Penderita Autisme. JURNAL INFORMATIKA, 5(2).
Cahyono, B. D., & Ainur, C. (2018). Development of Ultrasonic Testing Based on Delphi Program As A Learning Media in the Welding Material Study of Detection and Welding Disables in the Environment of Vocational Education. IOP Conference Series: Materials Science and Engineering, 336(1). https://doi.org/10.1088/1757-899X/336/1/012028
Chu, H. C., & Hwang, G. J. (2008). A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Systems with Applications, 34(4), 2826–2840. https://doi.org/10.1016/j.eswa.2007.05.034
Dewi, R. S., Darma Nasution, S., & Hatmi, E. (2018). Sistem Pakar Diagnosa Kerusakan Mesin Cuci Dengan Menggunakan Metode Fuzzy Mamdani. Jurnal Pelita Informatika, 7(2).
Dwilestari, N. (2021). Home Appliance Damage Expert System (Washing Machine, Air Conditioner, And Refrigerator) Based On Forward Chaining. Universitas Lampung.
Edwana, N., Rahmad, M., Islami, N., Studi, P., & Fisika, P. (2017). The Development Of Media Learning Based Borland Delphi 7 To The Matter Of Electromagnetic Waves. Jurnal Online Mahasiswa.
Fadli, A. (2003). Sistem Pakar Dasar (1st ed.). Komunitas eLearning IlmuKomputer.Com. http://fadli84.wordpress.com
Hartati, S., & Iswanti, S. (2008). Sistem Pakar dan Pengembangannya (1st ed.). Graha Ilmu.
Hidayat, M. R., & Maulana, A. (2022). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Gigi Dengan Metode Forward Chaining. Jurnal Teknik Komputer AMIK BSI, 8(2). https://doi.org/10.31294/jtk.v4i2
Jashnabadi, J. N., Rahnamay Bonab, S., Haseli, G., Tomaskova, H., & Hajiaghaei-Keshteli, M. (2023). A dynamic expert system to increase patient satisfaction with an integrated approach of system dynamics, ISM, and ANP methods. Expert Systems with Applications, 234. https://doi.org/10.1016/j.eswa.2023.121010
Jatnika, A., Irwanto, & Cahyono, B. D. (2023). Pengembangan Media Pembelajaran Menggunakan Aplikasi Borland Delphi 7 untuk Menghitung Jumlah Bahan dan Biaya pada Instalasi Penerangan 1 Fasa. Journal on Education, 05(03).
Kusbianto, D., Ardiansyah, R., & Hamadi, D. A. (2017). Implementasi Sistem Pakar Forward Chaining Untuk Identifikasi Dan Tindakan Perawatan Jerawat Wajah. Jurnal Informatika Polinema, 4(1).
Mandailina, V., & Pramita, D. (2016). Kombinasi Media Delphi Dan Geogebra Dalam Pembelajaran Dimensi Tiga 1 (Vol. 14, Issue 2).
Nashiruddin, A. Z., & Hidayat, R. (2022). Perancangan Sistem Pakar Dalam Identifikasi Kerusakan Mesin Cuci Berbasis Naïve Bayes. JTEV (Jurnal Teknik Elektro Dan Vokasional), 8(2), 241. https://doi.org/10.24036/jtev.v8i2.115245
Ramadhan, M. H., Dewantoro, G., Fransiscus, D., & Setiaji, D. (2020). Rancang Bangun Sistem Pakar Pemantau Kualitas Air Berbasis IoT Menggunakan Fuzzy Classifier. Jurna Teknik Elektro, 12(2).
Rananavare, L. B., & Chitnis, S. (2024). Technology from traditional knowledge - Vrikshayurveda-based expert system for diagnosis and management of plant diseases. Journal of Ayurveda and Integrative Medicine, 15(1). https://doi.org/10.1016/j.jaim.2023.100853
Septiana, L. (2015). Metode Dempster Shafer Untuk Sistem Pakar Deteksi Kerusakan Mesin Cuci Berbasis Web. Jurnal Techno Nusa Mandiri, XIII(2).
Sihombing, M. Y., & Ayub, M. (2010). Sistem Pakar Berbasis Web sebagai Alat Bantu Pembelajaran Mahasiswa Kedokteran untuk Penyakit Kanker Darah pada Anak. Jurnal Informatika, 6(1).
Syarif, A., Dwilestari, N., Junaidi, A., Andrian, R., Ilmu Komputer, J., Lampung Jl Ir Sumantri Brojonegoro, U., & Meneng, G. (2021). Sistem Pakar Kerusakan Barang Rumah Tangga (Mesin Cuci, Ac & Kulkas) Berbasis Forward Chaining. Kumpulan jurnaL Ilmu Komputer (KLIK), 08(2).
Trianto, J. (2018). Penerapan Metode Forward Chaining Untuk Diagnosa Penyakit Diare Pada Anak Usia 3-5 Tahun Berbasis Mobile Android. Jurnal Informatika Universitas Pamulang, 3(2).
Wamiliana, Aristoteles, & Depriyanto. (2013). Pengembangan Sistem Pakar Berbasis Web Mobile untuk Mengidentifikasi Penyebab Kerusakan Telepon Seluler dengan Menggunakan Metode Forward dan Backward Chaining. Jurnal Komputasi, 1(1).
Wardani, S. Y. C., Maulana, A., Fauzi, A., & Fahrizal. (2021). Sistem Pakar Pendeteksi Kerusakan Pada Hardware Komputer Berbasis Android. Jurnal Format, 10(1).
Zhou, X., Du, H., Sun, Y., Ren, H., Cui, P., & Ma, Z. (2023). A New Framework Integrating Reinforcement Learning, A Rule-Based Expert System, And Decision Tree Analysis To Improve Building Energy Flexibility. Journal of Building Engineering, 71. https://doi.org/10.1016/j.jobe.2023.106536