Sistem Pakar Diagnosa Kerusakan Pada Mesin ATM Menggunakan Metode Naive Bayes
Abstract
Detection of damage contained in ATM Machines carried out by employees still has drawback, especially if there are new employees who are still confused about finding damage to the ATM machine. This study aims to build an expert system for diagnosing damage found in ATM machines at PT Advantage SCM Medan which is equipped with solutions for indicated damage. This system was built using the Naive Bayes method where this method will be able to solve this problem, this is because it is able to predict opportunities in the past and this method only requires small training data to determine the estimated parameters it need in the classification process. The design of an expert system for diagnosing damage contained in this ATM machine has 29 symptoms and 6 damages. This expert system is designed using the MySQL database and the PHP programming language. The results of this study are in the form of an accuracy of 90% which is calculated from the comparison obtained between manual data and data in the system.
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N. KN and G. E. Santoso, “Analisa Jaringan Mesin Automatic Teller Machine ( ATM ),†vol. 9, no. 1, pp. 92–100, 2020.
R. Tuti Alawiyah. Ai Ilah Warnilah.Fattahurrijal., “Implementasi Metode Certainty Factory Pada Perancangan Sistem Pakar,†vol. 9, no. 2, pp. 92–98, 2021.
S. Samsudin, “Optimalisasi Penerimaan Remunerasi Dosen Menggunakan Metode Rule Base Reasoning,†Klik - Kumpul. J. Ilmu Komput., vol. 6, no. 3, p. 224, 2019, doi: 10.20527/klik.v6i3.185.
T. Kustini, B. Fatkhurrozi, and I. Setyowati, “Implementasi Sistem Pakar Naïve Bayes Pada Pendeteksi Kerusakan Perangkat Electrocardiograph (ECG),†THETA OMEGA J. Electr. Eng., p. 2021, 2021.
A. Rio Prayoga, M. Iwan Wahyuddin, J. Sistem Informasi, and F. Teknologi Komunikasi dan Informatika, “Sistem Pakar Diagnosa Penyakit dan Hama Tanaman Pepaya Menggunakan Metode Forward Chaining dan Naïve Bayes,†J. Sains Komput. Inform. (J-SAKTI, vol. 5, no. 2, pp. 781–791, 2021, [Online]. Available: https://tunasbangsa.ac.id/ejurnal/index.php/jsakti/article/view/376/355
D. Silahudin, Henderi, and A. Holidin, “Model expert system for diagnosis of COVID-19 using naïve bayes classifier,†IOP Conf. Ser. Mater. Sci. Eng., vol. 1007, no. 1, 2020, doi: 10.1088/1757-899X/1007/1/012067.
C. Widiyawati and M. Imron, “Sistem Pakar Diagnosa Penyakit Pada Kucing Menggunakan Metode Naive Bayes Classifier,†Techno.Com, vol. 17, no. 2, pp. 134–144, 2018, doi: 10.33633/tc.v17i2.1625.
R. Irma Sari, S. Adi Wibowo, and D. Rudhistiar, “Implementasi Naive Bayes Dalam Mendeteksi Kerusakan Sistem Kelistrikan Mobil Toyota 4E-Fe Berbasis Website,†JATI (Jurnal Mhs. Tek. Inform., vol. 6, no. 2, pp. 982–988, 2023, doi: 10.36040/jati.v6i2.5415.
K. Aji, “Sistem Pakar Tes Kepribadian Menggunakan Metode Naive Bayes,†JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 4, no. 2, p. 75, 2019, doi: 10.31328/jointecs.v4i2.1010.
E. Susanti, H. A. Aidilof, and K. Priyanto, “Perbandingan Metode Naive Bayes dan Dempster Shafer pada Expert Sistem Diagnosis Dini COVID-19,†vol. 22, no. 1, pp. 217–230, 2022, doi: 10.30812/matrik.v22i1.2280.
H. T. Sihotang, F. Riandari, R. M. Simanjorang, A. Simangunsong, and P. S. Hasugian, “Expert System for Diagnosis Chicken Disease using Bayes Theorem,†J. Phys. Conf. Ser., vol. 1230, no. 1, 2019, doi: 10.1088/1742-6596/1230/1/012066.
J. Khatib et al., “Indonesian Journal of Computer Science,†vol. 11, no. 1, pp. 566–576, 2022.
S. Sofyan, M. Mardewi, and R. R. Moektis, “Sistem Informasi Pemesanan Furniture Berbahan Baku Aluminium Pada Usaha Dagang Crystal Aluminium Manokwari Berbasis WEB,†J. Sains Komput. dan Teknol. Inf., vol. 3, no. 1, pp. 24–29, 2020, doi: 10.33084/jsakti.v3i1.1700.
M. P. Putri and H. Effendi, “Implementasi metode rapid application development pada website service guide ‘waterfall tour South Sumatera,’†J. SISFOKOM, vol. 07, no. 02, pp. 130–136, 2018.
Subianto, “Penerapan Metode Rapid Application Development dalam Perancangan Sistem Informasi Pendataan,†J. Infokam, vol. 16, no. 1, pp. 46–54, 2020, [Online]. Available: http://amikjtc.com/jurnal/index.php/jurnal/article/view/218/164#
B. Rudianto and Y. E. Achyani, “Penerapan Metode Rapid Application Development pada Sistem Informasi Persediaan Barang berbasis Web,†Bianglala Inform., vol. 8, no. 2, pp. 117–122, 2020, doi: 10.31294/bi.v8i2.8930.
A. Wenda, A. A. Suryanto, S. N. Alam, and K. Suhada, “Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes,†vol. 7, pp. 82–88, 2023, doi: 10.30865/mib.v7i1.5394.
I. Zufria and H. Santoso, “Sistem Pakar Menggunakan Metode Backward Chaining Untuk Mengantisipasi Permasalahan Tanaman Kacang Kedelai Berbasis Web,†vol. 5, pp. 20–28, 2021.
R. N. Devita, H. W. Herwanto, and A. P. Wibawa, “Perbandingan Kinerja Metode Naive Bayes dan K-Nearest Neighbor untuk Klasifikasi Artikel Berbahasa indonesia,†J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, p. 427, 2018, doi: 10.25126/jtiik.201854773.
D. Ayuningsih and N. A. Hasibuan, “Sistem Pakar Mendiagnosa Kerusakan Pada Mesin Penggilingan Padi Menggunakan Metode Naive Bayes,†J. JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 4, pp. 371–376, 2018.
U. Islam, N. Sumatera, and U. Medan, “IMPLEMENTASI DATA MINING DALAM MENGKLASIFIKASIKAN UKT ( UANG KULIAH TUNGGAL ) PADA UIN SUMATERA UTARA MEDAN,†vol. 4, no. 2, pp. 370–376, 2020.
W. Singgih, D. Nugroho, and Y. Retno, “Sistem Untuk Deteksi Kerusakan Mesin Diesel Mobil Panther Dengan Metode Naïve Bayes,†TIKomSin, pp. 7–13, 2016.
M. D. Irawan, A. Widarma, Y. H. Siregar, and R. Rudi, “Penerapan Metode Forward-Backward Chaining pada Sistem Pakar Pencegahan dan Pengobatan Penyakit Sapi,†J. Teknol. dan Inf., vol. 11, no. 1, pp. 14–25, 2021, doi: 10.34010/jati.v11i1.3286.
DOI: https://doi.org/10.30865/mib.v7i3.6468
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