SISTEM DETEKSI CERDAS BERBASIS METODE DEMPSTER-SHAFER UNTUK MENDIAGNOSIS KERUSAKAN PADA SEPEDA MOTOR INJEKSI Artificial Intelligence, Dempster-Shafer, Expert System, Fuel Injection System and Motorcycle

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Published: 2025-05-22
DOI: https://doi.org/10.53564/fortech.v9i1.1522
Keywords:
Artificial Intelligence, Dempster-Shafer, Expert System, Fuel Injection System and Motorcycle

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Reny Wahyuning Astuti
Prodi Teknik Informatika, Universitas Nurdin Hamzah
Sukma Puspitorini
Universitas Nurdin Hamzah image/svg+xml
Al Pigri Hidayah
Universitas Nurdin Hamzah image/svg+xml

Abstract

Injection motorcycles are an innovation in two-wheeled vehicles that integrate electronic technology to enhance efficiency and performance. However, many users face difficulties in detecting electrical system failures in these motorcycles, primarily due to a lack of technical knowledge. This study aims to develop a web-based expert system capable of detecting issues in motorcycle injection components, specifically for injection motorcycles of matic and underbone types from 2013 to 2019. The system utilizes the Dempster-Shafer method to handle uncertainty in the diagnostic process. The Dempster-Shafer theory provides reasoning based on belief functions and plausible reasoning, which is used to combine separate pieces of information (evidence) to calculate the likelihood of an event, resulting in more accurate outcomes. The input consists of data from 15 symptoms of injection component failures and 7 types of injection component failures. The output of this web-based expert system is the diagnosis of the detected failures in the motorcycle injection components and the solutions for these failures. The results show that the developed expert system can improve efficiency in detecting failures and provide more accurate solutions for users with an accuracy rate of 90% based on the expert system's results and the direct testing on 10 injection motorcycle units.


 

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Article Details

Issue

Vol. 9 No. 1 (2025): Fortech (Journal Of Information Technology)

Section

Articles

Author Biography

Sukma Puspitorini, Universitas Nurdin Hamzah

Abstract – Injection motorcycles are an innovation in two-wheeled vehicles that integrate electronic technology to enhance efficiency and performance. However, many users face difficulties in detecting electrical system failures in these motorcycles, primarily due to a lack of technical knowledge. This study aims to develop a web-based expert system capable of detecting issues in motorcycle injection components, specifically for injection motorcycles of matic and underbone types from 2013 to 2019. The system utilizes the Dempster-Shafer method to handle uncertainty in the diagnostic process. The Dempster-Shafer theory provides reasoning based on belief functions and plausible reasoning, which is used to combine separate pieces of information (evidence) to calculate the likelihood of an event, resulting in more accurate outcomes. The input consists of data from 15 symptoms of injection component failures and 7 types of injection component failures. The output of this web-based expert system is the diagnosis of the detected failures in the motorcycle injection components and the solutions for these failures. The results show that the developed expert system can improve efficiency in detecting failures and provide more accurate solutions for users with an accuracy rate of 90% based on the expert system's results and the direct testing on 10 injection motorcycle units.

Keywords : Artificial Intelligence, Dempster-Shafer, Expert System, Fuel Injection System and Motorcycle.

References

[1] Arisandi, D., & Sari, I. P. (2021). Sistem Pakar Dengan Fuzzy Expert System. Gracias Logis Kreatif.

[2] Astuti, R.W., Kahar, N. and Niansari, F. (2021) ‘Sistem Pakar Diagnosa Penyakit Pada Gravida (Wanita Hamil) Menggunakan Forward Chaining’, FORTECH (Journal of Information Technology), 5(1), pp. 34–40. Available at: https://ojs.unh.ac.id/index.php/fortech/article/view/665.

[3] Dio, M. and Rizdiansyah, dan L. (2021) ‘Perancangan sistem informasi penjualan dan stok obat pada apotek aby berbasis java’, Semnas Ristek (Seminar …, p. 4. Available at: http://proceeding.unindra.ac.id/index.php/semnasristek/ article/view/4939.

[4] Dwiramadhan, F., Wahyuddin, M.I. and Hidayatullah, D. (2022) ‘Sistem Pakar Diagnosa Penyakit Kulit Kucing Menggunakan Metode Naive Bayes Berbasis Web’, Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(3), pp. 429–437. Available at: https://doi.org/10.35870/jtik.v6i3.466.

[5] Erwansyah, R., Wahyudi, J. and Prahasti, P. (2023) ‘Expert System in Helping Students Diagnose Car Engine Damage Using the Expert System Development Life Cycle (ESDLC) Method’, Jurnal Media Computer Science, 2(1), pp. 101–106. Available at: https://doi.org/10.37676/jmcs .v2i1.3347.

[6] Fahrozi, W., Meizar, A. and Indra, E. (2021) ‘Aplikasi Sistem Pakar Dalam Mendiagnosa Sindrom Klinis Akibat Infeksi Covid-19’, Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA), 5(1), pp. 29–32. Available at: https://doi.org/10.34012/jurnalsisteminformasidanilmu komputer.v5i1.1915.

[7] Lerryck, A.A., Buyung, S. and Pakan, Y. (2022) ‘Analisis Pengaruh Variasi Suhu Udara Masuk Dan Putaran Motor Terhadap Durasi Penyemprotan Bahan Bakar Pada Sepeda Motor Matic 4 Tak’, Jurnal Voering, 7(1), pp. 16–23.

[8] Manajemen, J. (2022) ‘Dirgamaya’, 01(03), pp. 30–45.

[9] Partogi, Y. and Pasaribu, A. (2022) ‘Perancangan Metode Decision Tree Terhadap Sistem Perpustakaan STMIK Kuwera’, Jurnal Sistem Informasi dan Teknologi (SINTEK), 1(2), pp. 20–25. Available at: https://doi.org/10.56995 /sintek.v1i2.4.

[10] Rifqi, N. and Iskandar, A. (2023) ‘Perbandingan Metode Dempster Shafer Dan Teorema Bayes Dalam Sistem Pakar Mendiagnosa Moyamoya Disease’, Jurnal Sistem Komputer dan Informatika (JSON)Hal: 160−, 168(1), pp. 160–168. Available at: https://doi.org/10.30865/json.v5i1.6819.

[11] Salsabila, N. (2022) ‘Peranan Perangkat Keras (Hardware) Dalam Sistem Informasi Manajemen’, Sistem Komputer, (0702212214), pp. 1–18. Available at: https://osf.io/preprints/osf/f675m.

[12] Sari, A. M. (2022). PEMODELAN SISTEM BERBASIS OBJEK. Universitas Bina Sarana Informatika.

[13] Syaputra, A. and Setiadi, D. (2020) ‘Sistem Pakar Diagnosa Kerusakan Sepeda Motor Yamaha Matic Menggunakan Metode Forward Chaining’, Jusikom : Jurnal Sistem Komputer Musirawas, 5(2), pp. 126–135. Available at: https://doi.org/10.32767/jusikom.v5i2.1039