Early Diagnosis Expert System Hepatitis Using Naive Bayes Method Early Diagnosis Expert System Hepatitis Using Naive Bayes Method
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Published:
Feb 1, 2020
Keywords:
hepatitis diagnosis, naive Bayes, expert systems
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Computer Science
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Abstract
Public health activities for the control of viral hepatitis have increased during the last three decades. In 2010, there is growing public awareness about the public health burden of viral hepatitis. However, there are major gaps in the response and increased mortality. Five virus responsible for most cases of viral hepatitis are hepatitis A, B, C, D, and E. All hepatitis viruses can cause acute hepatitis. However, only HBV, HCV and HDV frequent cause of chronic hepatitis, which can cause progressive scarring of the liver and primary liver cancer. Of these, HBV and HCV causes 96% of deaths from hepatitis virus, So the need for special treatment for hepatitis, with the creation of an expert system for diagnosis of hepatitis using Naive Bayes method that aims to diagnose the onset of hepatitis disease is expected to help users who still lay on knowledge as well as related information from hepatitis. Based on test results using 10 samples of data to get the value of accuracy of 90%. Ketikakuratan 10% is due at the time of the calculation method that uses a Naive Bayes highest value for the results obtained and if the same value system will take the value of the list of the first order for the results to a user
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Irfansyah, G., Darusallam, U. and Benrahman, B. (2020) “Early Diagnosis Expert System Hepatitis Using Naive Bayes Method: Early Diagnosis Expert System Hepatitis Using Naive Bayes Method”, Jurnal Mantik, 3(4), pp. 182-187. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/550 (Accessed: 19June2026).
References
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Sihotang, Hengki Tamando, Erwin Panggabean, and Herlina Zebua, ‘Sistem Pakar Mendiagnosa Penyakit Herpes Zoster Dengan Menggunakan Metode Teorema Bayes’, Journal Of Informatic Pelita Nusantara, 3 (2018), 33–40
Simbolon, Fransisco Alexander, Syahputra Guntur, Panggabean Erwin, and Hengki Tamando Sihotang, ‘Pembuatan Aplikasi Pengenalan Suara Dan Objek Hewan Sebagai Media Pengenalan Bagi Anak Usia Dini Dengan Metode Computer Based Instruction (CBI)’, Journal Of Informatic Pelita Nusantara, 3 (2018), 23–31
Sihotang, Hengki Tamando. “Pembuatan Aplikasi E-Learning Pada SMK Swasta Pariwisata Imelda Medan.” Jurnal Mantik Penusa, vol. 1, no. 2, 2017, pp. 70–75, http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/287.
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F. Ridandari and A. Panjaitan, “Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem”, mantik, vol. 3, no. 3, Nov, pp. 34-39, Nov. 2019.
A. Pamungkas and F. Riandari, “Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah”, mantik, vol. 3, no. 3, Nov, pp. 69-72, Nov. 2019.
R. Sibagariang and F. Riandari, “Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method”, mantik, vol. 3, no. 3, Nov, pp. 99-103, Nov. 2019.
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[3] WHO. Hepatitis, “Fact Sheets Hepatitis B,” no. July, pp. 1–8, 2019.
[4] B. Litbangkes, “Faktor-Faktor yang Berhubungan dengan Tingkat Kekebalan Hepatitis B ( anti-HBs ) pada Anak Umur 1-14 Tahun dari Data Hasil Riskesdas 2007,” pp. 59–64, 2016.
[5] D. Cahya Putri Buani, “Prediksi Penyakit Hepatitis Menggunakan Algoritma Naive Bayes dengan Seleksi Fitur Algoritma Genetika,” vol. 6, no. 2, pp. 1–5, 2018.
[6] T. Karthikeyan and P. Thangaraju, “Best First and Greedy Search Based CFS- Naïve Bayes Classification Algorithms for Hepatitis Diagnosis,” vol. 12, no. April, pp. 983–990, 2015.
[7] A. Maseleno, R. Z. Hidayati, M. Othaman, A. Y.C Tang, and A. M. Moamin, “A Bayesian Hau-Kashyap Approach for Hepatitis Disease Detection,” 2018.
[8] A. Maseleno and R. Z. Hidayati, “Hepatitis Disease Detection using Bayesian Theory,” vol. 050001, 2017.
[9] Y. R. Nasution, “Sistem pakar deteksi awal penyakit tuberkulosis dengan metode bayes,” vol. 1, no. 1, pp. 17–23, 2017.
[10] H. Saiyar, “Aplikasi Diagnosa Penyakit Tuberculosis Menggunakan Algoritma Naive Bayes,” vol. 5, no. 5, pp. 498–502, 2018.
[11] N. B. Riyanto and O. Suria, “Sistem Pakar Diagnosa Penyakit Pencernaan Mengunakan Metode Teorema Bayes Digestive Disease Diagnosis Expert System Using Bayes Theorem Method,” pp. 7–12.
[12] F. T. Anggraeny, I. Y. Purbasari, and E. Suryaningsih, “ReliefF Feature Selection and Bayesian Network Model for Hepatitis Diagnosis,” pp. 1–6, 2017.
[13] M. Marlina, W. Saputra, B. Mulyadi, and B. Hayati, “Aplikasi sistem pakar diagnosis penyakit ispa berbasis speech recognition menggunakan metode naive bayes classifier,”, 2018.
Marbun, Murni, et al. “Perancangan Sistem Perencanaan Jumlah Produksi Roti Menggunakan Metode Fuzzy Mamdani.” Jurnal Mantik Penusa, vol. 20, no. 1, 2016, pp. 48–54.
Sari, Janer Irma, et al. “Implementasi Penyembunyian Pesan Pada Citra Digital Dengan Menggabungkan Algoritma HILL Cipher Dan Metode Least Significant BIT (LSB).” Jurnal Mantik Penusa, vol. 1, no. 2, 2017, pp. 1–8.
Sihotang, Hengki Tamando. “Penerapan Tata Kelola Teknologi Informasi Dengan Menggunakan Cobit Framework 4.1 Studi Kasus Pada PT. Perkebunan Nusantara III Medan (Persero).” Jurnal Mantik Penusa, vol. 17, no. 1, 2015, pp. 1–7, http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/119/35.
Sihotang, Hengki Tamando. “Perancangan Aplikasi Sistem Pakar Diagnosa Diabetes Dengan Metode Bayes.” Jurnal Mantik Penusa, vol. 1, no. 1, 2017, pp. 36–41, http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/280.
Sihotang, Hengki Tamando. “Sistem Pakar Mendiagnosa Penyakit Kolesterol Pada Remaja Dengan Metode Certainty Factor (Cf) Berbasis Web.” Jurnal Mantik Penusa, vol. 15, no. 1, 2014, pp. 16–23.
Sihotang, Hengki Tamando. “Sistem Pakar Untuk Mendiagnosa Penyakit Pada Tanaman Jagung Dengan Metode Bayes.” Journal Of Informatic Pelita Nusantara, vol. 3, no. 1, 2018, pp. 1–9, http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/281/178.
Sihotang, Hengki Tamando, and Jijon Raphita Sagala. “Penerapan Tata Kelola Teknologi Informasi Dan Komunikasi Pada Domain Align, Plan And Organise (APO) Dan Monitor,Evaluate And Assess (MEA) Dengan Menggunakan Framework Cobit 5 Studi Kasus: STMIK Pelita Nusantara Medan.” Jurnal Mantik Penusa, vol. 18, no. 2, 2015, pp. 90–96, http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/112/19.
Sihotang, Hengki Tamando, and Maria Siboro. “Aplikasi Sistem Pendukung Keputusan Penentuan Siswa Bermasalah Menggunakan Metode Saw Pada Sekolah Smp Swasta Mulia Pratama Medan.” Journal of Informatics Pelita Nusantara, vol. 1, no. 1, 2016, pp. 1–6.
Simangunsong, Agustina, et al. “Perancangan Aplikasi Sistempakar Menggunakan Metode Bayes Untuk Diagnosa Gejala Asma Pada Puskesmas Deli Tua.” Journal of Informatics Pelita Nusantara, vol. 2, no. 1, 2017, pp. 14–21, http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/273/171.
Simanjorang, R.Mahdalena, et al. “Sistem Pendukung Keputusan Penentuan Penerima Bahan Pangan Bersubsidi Untuk Keluarga Miskin Dengan Metode AHP Pada Kantor Kelurahan Mangga.” Journal Of Informatic Pelita Nusantara, vol. 2, no. 1, 2017, pp. 22–31, http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/274/172.
Sitohang, Hengki Tamando. “Sistem Informasi Pengagendaan Surat Berbasis Web Pada Pengadilan Tinggi Medan.” Journal Of Informatic Pelita Nusantara, vol. 3, no. 1, 2018, pp. 6–9, http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/276/174.
Hasugian, Penda Sudarto, Harvei Desmon Hutahaean, and Hengki Tamando Sihotang, ‘Sistem Pendukung Keputusan Penentuan Guru Wali Kelas Pada SMP Negeri 19 Medan Dengan Menggunakan Metode Simple Additive Weighting’, Journal Of Informatic Pelita Nusantara, 2 (2017), 32–39
Sihotang, Hengki Tamando, Erwin Panggabean, and Herlina Zebua, ‘Sistem Pakar Mendiagnosa Penyakit Herpes Zoster Dengan Menggunakan Metode Teorema Bayes’, Journal Of Informatic Pelita Nusantara, 3 (2018), 33–40
Simbolon, Fransisco Alexander, Syahputra Guntur, Panggabean Erwin, and Hengki Tamando Sihotang, ‘Pembuatan Aplikasi Pengenalan Suara Dan Objek Hewan Sebagai Media Pengenalan Bagi Anak Usia Dini Dengan Metode Computer Based Instruction (CBI)’, Journal Of Informatic Pelita Nusantara, 3 (2018), 23–31
Sihotang, Hengki Tamando. “Pembuatan Aplikasi E-Learning Pada SMK Swasta Pariwisata Imelda Medan.” Jurnal Mantik Penusa, vol. 1, no. 2, 2017, pp. 70–75, http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/287.
M. Marbun and B. Sinaga, “Buku Ajar Sistem Pendukung Keputusan Penilaian Hasil Belajar Dengan Metode Topsis,” 2018, 0th ed., pp. 1–127.
E. Situmorang and F. Riandari, “Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method”, mantik, vol. 3, no. 3, Nov, pp. 28-33, Nov. 2019.
F. Ridandari and A. Panjaitan, “Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem”, mantik, vol. 3, no. 3, Nov, pp. 34-39, Nov. 2019.
A. Pamungkas and F. Riandari, “Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah”, mantik, vol. 3, no. 3, Nov, pp. 69-72, Nov. 2019.
R. Sibagariang and F. Riandari, “Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method”, mantik, vol. 3, no. 3, Nov, pp. 99-103, Nov. 2019.