Pendeteksi Kerusakan Docucenter 235 Pada Perangkat Mobile dengan Metode Certainty Factor

Felman Ndruru

doi:10.62866/bios.v2i3.162

Felman Ndruru * Universitas Budi Darma, Medan, Indonesia

(*) Corresponding Author

DOI: https://doi.org/10.62866/bios.v2i3.162

Keywords: Pakar Sistem; Docucenter; Certainty Factor; Method

Abstract

Docucenter 235 is one of the products from Xerox Corporation that has the advantage of being able to perform many functions. Docucenter 235 can do photocopying, printing, scanning, i-fax, walk up fax, and network fax. According to PT Astragraphia, Tbk as a distributor of this machine in Indonesia has sold more than 3000 units. The need to reproduce documents is very important, therefore the role of docucenter 235 is needed. Docucenter 235 is a photocopier made by Xerox Corporation, but once there are problems such as troubleshooting which results in the results of copying being less than optimal and the processing time becomes slower. The Certainty Factor method is a method in expert systems that is suitable for knowing the certainty or lack of possibility in measuring something, for example, diagnosing diseases and damage. In one calculation, this method can only process 2 data. Therefore, the accuracy of the calculation data with this method can be maintained. This is the reason the author chose to use the Certainty Factor method rather than other methods in this research. The purpose of this study is to detect damage to the docucenter 235 machine that requires trobelshoot or damage. The results of the implementation of the built expert issued output results based on the calculation of the Certainty factor method on damage detection has a percentage of 85% confidence level.

References

D. A. N. Penannggulangannya, S. Kasus, and D. I. Q. Copier, “No Title,” vol. 6, no. 2, pp. 163–172, 2020.

I. P. PUTRA, “SISTEM PAKAR DIAGNOSA KERUSAKAN MESIN JAHIT DENGAN METODE CERTAINTY FACTOR BERBASIS WEB.” UNIVERSITAS ISLAM LAMONGAN, 2023.

A. Simanjuntak, S. Kom, M. Kom, G. Syahputra, S. Kom, and M. Kom, “DIAGNOSIS SYSTEM PENYAKIT CLUBROOT PADA TANAMAN KUBIS DENGAN MENGGUNAKAN,” no. April, 2020.

B. D. Setyarto, H. Sulistiani, D. Darwis, and P. Dellia, “Implementasi Metode Certainty Factor untuk Deteksi Kerusakan Mesin CNC Plasma Cutting Hypertherm,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 4, no. 2, pp. 176–182, 2023.

E. Supriyadi, “Eksplorasi penggunaan ChatGPT dalam penulisan artikel pendidikan matematika,” Papanda J. Math. Sci. Res., vol. 1, no. 2, pp. 54–68, 2022.

S. Serdianus, “Quo Vadis Pendidikan Di Era Artificial Intelligence?,” 2023.

P. Tesalonika, “KONSEP PERTANGGUNGJAWABAN PIDANA KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) DALAM HAL TERJADINYA TINDAK PIDANA.” Universitas Atma Jaya Yogyakarta, 2023.

A. Utami and A. Saehan, “Penerapan Algoritma Turbo Boyer Moore Pada Aplikasi Perbandingan Harga Laptop Menggunakan Web,” Bul. Ilm. Inform. Teknol., vol. 1, no. 2, pp. 37–42, 2023.

D. Puspita, “Penerapan Metode Forward Chaining untuk Sistem Pakar Diagnosa Penyakit Rabies Pada Manusia,” Sains, Apl. Komputasi dan Teknol. Inf, vol. 3, no. 2, pp. 70–77, 2023.

S. Cantika, I. Kanedi, and J. Jumadi, “Sistem Pakar Untuk Mendiagnosa Penyakit Bronkho Pneumonia Menggunakan Metode Certainty Factor Pada Klinik Assifa Bengkulu,” J. Media Infotama, vol. 19, no. 2, pp. 358–366, 2023.

W. A. Putri, “Sistem Pakar Mendiagnosa Penyakit Pneumonia Menggunakan Metode Constraint Satisfaction Problem (CSP),” Bull. Data Sci., vol. 1, no. 1, pp. 9–13, 2021.

A. U. Firmansyah and A. Amalia, “Tes Multiple Intelligence Untuk Mengetahui Minat Dan Bakat Anak Sekolah Dasar Dengan Sistem Pakar,” J. Sci. Soc. Res., vol. 4, no. 1, pp. 49–54, 2021.

H. Suhendi and W. Wardana, “PERANCANGAN SISTEM PAKAR TROUBLESHOOTING LINUX LITE 2.8 BERBASIS ANDROID,” J. Innov. Res. Knowl., vol. 1, no. 10, pp. 1293–1300, 2022.

Y. Oktavia, I. Kanedi, and S. Sapri, “Application of the Naive Bayes Method in Diagnosing Diseases of Garlic Plants,” J. Komput. Indones., vol. 1, no. 2, pp. 81–88, 2022.

R. Costache et al., “Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network,” Geocarto Int., vol. 37, no. 25, pp. 7303–7338, 2022.

C. Wu, “Certainty factor analyses and spatiotemporal characteristics of landslide evolution: Case studies in the Chishan river watershed in Taiwan,” ISPRS Int. J. Geo-Information, vol. 11, no. 7, p. 382, 2022.

P. S. Alam, A. W. Wantoro, and K. Kisworo, “Sistem Pakar Pemilihan Sampo Pria Dengan Menggunakan Metode Certainty Factor,” J. Teknol. dan Sist. Inf., vol. 3, no. 4, pp. 21–27, 2022.

K. Kevin, “Diagnosa Penyakit Jantung Menggunakan Metode Certainty Factor,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 3, no. 1, pp. 93–106, 2022.

C. Jiang, W. Fan, N. Yu, and E. Liu, “Spatial modeling of gully head erosion on the Loess Plateau using a certainty factor and random forest model,” Sci. Total Environ., vol. 783, p. 147040, 2021.

Z. Zhao, Z. Y. Liu, and C. Xu, “Slope unit-based landslide susceptibility mapping using certainty factor, support vector machine, random forest, CF-SVM and CF-RF models,” Front. Earth Sci., vol. 9, p. 589630, 2021.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Pendeteksi Kerusakan Docucenter 235 Pada Perangkat Mobile dengan Metode Certainty Factor