Penggunaan Metode Certainty Factor Pada Sistem Pakar Deteksi Kerusakan Perangkat Keras (Hardware) Komputer di Laboratorium Berbasis Android


  • Rima Tamara Aldisa * Mail Universitas Nasional, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Certainty Factor; Expert System; Hardware; Alpha Test; Android

Abstract

The system is designed to assist in providing the final result of knowledge of the damage that occurs in computer hardware in the laboratory, the expert system here imitates or is similar to a laptop service expert in knowing the damage that occurs. This system is built using Android which can be installed by the user, the user here is the laboratory assistant and the main laboratory head, this system helps in dealing with the damage conditions that occur in the computer. From the research conducted, an android-based expert system for diagnosing the end of the situation using the factor certainty method can provide information about 4 types of damage diagnoses, 12 damage symptom data, provide information about the cause to suggestions for final treatment. The results of the test using the Alpha Test on 20 participants who we asked to install the expert system first on the cellphone. The participants consisted of laboratory assistants, laboratory heads, the answer choice was "Suitable" which had a percentage value of 0.54 or like 54%, and was carried out also testing using Black Box testing which shows results according to the referral site

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References

Wijaya, D. B., Wahyudi, J., & Sudarsono, A. (2021). Sistem Pakar Diagnosa Kerusakan Pada Hardware Komputer Menggunakan Metode Dempster Shafer. Jurnal Teknik Informatika Unika St. Thomas, 6(2), 2657–1501.

Saputra, O., Fitri, I., Tri, E., & Handayani, E. (2022). Sistem Pakar Diagnosa Kerusakan Hardware Komputer Menggunakan Metode Forward Chaining Dan Certainty Factor Berbasis Website. Jurnal Teknologi Informasi Dan Komunikasi), 6(2), 2022. Https://Doi.Org/10.35870/Jti

Suleman, Fitriana, S., & Putra, T. C. (2018). Sistem Pakar Untuk Mendeteksi Kerusakan Komputer Dengan Metode Naive Bayes. Jurnal Evolusi, 6(2).

Ichwannudin, N., Irsan, M., & Windyasari, V. S. (2020). Sistem Pakar Kerusakan Perangkat Komputer Dengan Metode Backward Chaining Berbasis Telepon Pintar. Jimtek, 1(3).

Gani, A. G. (2017). Aplikasi Sistem Pakar Untuk Diagnosis Kerusakan Hardware Komputer Desktop Pada Laboratorium Komputer Di Sekolah. Jsi, 4(1).

Admin. (2020). Pentingnya Mengetahui Tujuan Metodologi Penelitian. Https://Www.Pilarteknotama.Co.Id/Pentingnya-Mengetahui-Tujuan-Metodologi-Penelitian.

Harys. (2020, August 9). Tahapan Penelitian. Jopglass Https://Www.Jopglass.Com/Tahapan-Penelitian/.

Dosenpendidikan. (2017). Sistem Pakar. Https://Www.Dosenpendidikan.Co.Id/Sistem-Pakar/.

Payahtidur. (2017). Certainty Factor. Https://Payahtidur.Com/Project/Certainty-Factor.

Juliarto, R. (2021, May 19). Contoh Use Case Diagram Lengkap Dengan Penjelasannya. Https://Www.Dicoding.Com/Blog/Contoh-Use-Case-Diagram/.

Nurshanty, A. O. , Saputra, A. , Hardhanto, F. R. , & Franklyn, M. B. (2020, July 2). Teknik Dalam White-Box Dan Black-Box Testing. Https://Socs.Binus.Ac.Id/2020/07/02/Teknik-Dalam-White-Box-Dan-Black-Box-Testing.

Antolis, A., Putra, A. R., Putri, F., Philemon, H. A., Prayangga, M., & Tanoto, M. W. (2020). Alpha Dan Beta Testing. Https://Socs.Binus.Ac.Id/2020/06/30/Alpha-Dan-Beta-Testing/.


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Article History
Submitted: 2022-04-21
Published: 2022-04-30
Abstract View: 257 times
PDF Download: 220 times
How to Cite
Aldisa, R. (2022). Penggunaan Metode Certainty Factor Pada Sistem Pakar Deteksi Kerusakan Perangkat Keras (Hardware) Komputer di Laboratorium Berbasis Android. Journal of Information System Research (JOSH), 3(3), 314-323. https://doi.org/10.47065/josh.v3i3.1528
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