IMPLEMENTASI SISTEM DIAGNOSIS LAYANAN INTERNET PT. FIBER NETWORKS INDONESIA MENGGUNAKAN METODE CERTAINTY FACTOR DAN CASE-BASED REASONING

Jeffry Andhika Putra, Teguh Sadewo Pangestu

Abstract


PT. Fiber Networks Indonesia (FiberNet) is intended to make it easier for service users to overcome FiberNet service disruptions. So, users can directly diagnose symptoms and the system directly provides solutions related to service problems. It is hoped that the system can help users and provide education in solving problems without contacting customer service. The FiberNet service fault diagnosis system is designed and implemented using PHP, MySQL database, Certainty Factor method, and Case-Based Reasoning method. The application of the Certainty Factor method is used to determine the percentage value based on the specified confidence value. The application of the Case-Based Reasoning method is used to compare new cases, old cases, and determine the case of each selected symptom where the highest Certainty Factor percentage value becomes a reference. The application made has five elements of an expert system, namely a knowledge base, database, inference mechanism, user interface, and system implementation where the application can detect symptoms experienced in internet services.

Keywords


Service Diagnosis System, PT. Fiber Networks Indonesia, FiberNet, Case-Based Reasoning, Certainty Factor

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References


K. Muludi, R. Suharjo, A. Syarif, and F. Ramadhani, “Implementation of forward chaining and certainty factor method on android-based expert system of tomato diseases identification,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 9, pp. 451–456, 2018, doi: 10.14569/ijacsa.2018.090957.

Y. MZ, “Rekomendasi Sistem Alat Gym Pembentukan Body Structure Dan Asupan Makanan Metode Backward Chaining,” Inf. Interaktif, vol. 3, no. 3, pp. 155–160, 2018, [Online]. Available: http://e-journal.janabadra.ac.id/

R. Rizky, A. H. Wibowo, Z. Hakim, and L. Sujai, “Sistem Pakar Diagnosis Kerusakan Jaringan Local Area Network (LAN) Menggunakan Metode Forward Chaining,” J. Tek. Inform. Unis, vol. 7, no. 2, pp. 145–152, 2020, doi: 10.33592/jutis.v7i2.396.

Y. MZ, “Rekomendasi Sistem Alat Gym Pembentukan Body Structure Dan Asupan Makanan Metode Backward Chaining,” Inform. dan Teknol. Inf., vol. 3, no. 4, p. (halaman 8), 2018.

S. Rofiqoh, D. Kurniadi, and A. Riansyah, “Sistem Pakar Diagnosa Penyakit Pada Tanaman Karet Menggunakan Metode Forward Chaining,” Ranc. Bangun e-CRM pada Pasar Murah Solo, vol. 1, no. 1, pp. 54–60, 2020.

A. Nurseptaji and Y. Ramdhani, “Penerapan Metodologi Waterfall Pada Rancangan Sistem Informasi Perpustakaan,” J. Inform. dan Teknol. Inf., vol. 11, no. 1, pp. 1–12, 2021.

T. Selamat, “Analisis dan Perancangan Sistem Informasi Pembelian Berbasis Web pada PT. Swalayan Maju Bersama,” J. Ilm. Core IT Community Res. Inf. Technol., vol. 7, no. 2, pp. 1–6, 2019, [Online]. Available: http://ijcoreit.org/index.php/coreit/article/view/163

I. Rusydi and P. S. Ramadhan, “Analisis Perbandingan Classycal Probability dengan Metode Certainty Factor Dalam Penyelesaian Kasus Ketidakpastian (Studi Kasus : Identifikasi Jenis Racun Bisa Ular),” Algoritm. J. Ilmu Komput. dan Inform., vol. 03, no. 01, pp. 72–79, 2019, [Online]. Available: Sistem Pakar, Classycal Probability, Certainty Factor, Jenis Racun Bisa Ular

E. Rohadi, O. D. Triswidrananta, and J. Ayu, “DSLR Dengan Metode Case Based Reasoning,” J. Inform. dan Teknol. Inf., pp. 1–6, 2020.

M. Muliadi, M. Andriani, and H. Irawan, “Perancangan Sistem Informasi Pemesanan Kamar Hotel Berbasis Website (Web) Menggunakan Data Flow Diagram (Dfd),” JISI J. Integr. Sist. Ind., vol. 7, no. 2, p. 111, 2020, doi: 10.24853/jisi.7.2.111-122.

N. Purwati, H. Halimah, and A. Rahardi, “Perancangan Website Program Studi Sistem Informasi Institut Informatika Dan Bisnis Darmajaya Bandar Lampung,” SIMADA (Jurnal Sist. Inf. Manaj. Basis Data), vol. 1, no. 1, p. 71, 2018, doi: 10.30873/simada.v1i1.1116.

P. Leoni, I. F. Imansyah, and P. T. W., “Case Based Reasoning (CBR) Diagnosis Gangguan Layanan Indihome Menggunakan Metode Similarity Cosine Coefficient,” J. Tek. Elektro Univ. Tanjungpura, pp. 1–7, 2020.

N. Fitrianto, S. Wibisono, and Studi, “Sistem Pakar Penanganan Gangguan Layanan Indihome Pada Pelanggan Pt Telkom Indonesia Menggunakan Metode Case-Based,” Pros. SINTAK 2018, pp. 472–479, 2018.

A. Kajukaro, Y. Azhar, and M. Maskur, “Sistem Pakar Diagnosa Penyakit Paru – Paru Menggunakan Metode Case Base Reasoning Pada Telegram Bot,” J. Repos., vol. 2, no. 6, p. 711, 2020, doi: 10.22219/repositor.v2i6.475.

B. Riansyah, D. Kurniawan, and M. Same, “Sistem Pakar Diagnosa Penyakit Tanaman Kopi Menggunakan Metode Dempster Shafer,” J. Komputasi, vol. 9, no. 1, pp. 1–9, 2021, doi: 10.23960/komputasi.v9i1.2420.

W. W. Widiyanto, “Analisa Metodologi Pengembangan Sistem Dengan Perbandingan Model Perangkat Lunak Sistem Informasi Kepegawaian Menggunakan Waterfall Development Model, Model Prototype, Dan Model Rapid Application Development (Rad),” J. Inf. Politek. Indonusa Surakarta ISSN, vol. 4, no. 1, pp. 34–40, 2018, [Online]. Available: http://www.informa.poltekindonusa.ac.id/index.php/informa/article/view/34




DOI: http://dx.doi.org/10.21927/ijubi.v5i2.2646

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Indonesian Journal of Business Intelligence (IJUBI)
Department of Information System
Alma Ata University
Email: ijubi@almaata.ac.id