Sistem Pakar Diagnosa Penyalahgunaan Zat Adiktif Pada Kantor Badan Narkotika Nasional (BNN) Kota Palu

Ika Fatmawati, Dinny Daniela Amping

Abstract


Substance abuse remains widespread in Indonesia. According to medical doctors and experts, this condition is caused by a lack of public outreach and awareness regarding the dangers of drug abuse, as well as limited knowledge about addictive substances, including their side effects and harmful impacts. With advances in technology that support various aspects of modern human life, new opportunities arise to develop systems in the form of programs or applications that can assist individuals in independently identifying and diagnosing the symptoms and types of addictive substances used by abusers. An expert system application is an information system that can help the public find solutions to problems without having to consult directly with specialist experts. The purpose of this research is to develop a website-based expert system application that can assist the public in diagnosing substance abuse. This study employs the forward chaining inference method, which is used when facts are not associated with elements of uncertainty in decision making. An expert system that applies the forward chaining method can be implemented in a website-based application.Β 

Keywords


Expert system; Diagnosis; Symptoms of substance abuse; Forward chaining

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References


Diana, Diana. (2024). Penyalahgunaan Narkoba Dikalangan Remaja. Public Health Journal, 1(2). https://doi.org/10.62710/50kcae51

Agusalim, . A., Irwan, I., Akbar, . A. ., Faslia, F. ., Tarno, T., & Sukmawati, D. . (2023). Edukasi Penyalahgunaan Narkoba Dikalangan Remaja. Journal Of Human And Education (JAHE), 3(4), 423–428. https://doi.org/10.31004/jh.v3i4.494

Sari, D. I., Saputra, R., & Barriyati, B. (2023). Upaya Meningkatkan Motivasi Sembuh melalui Konseling Individu dengan Menggunakan Teknik Behavior Contract Pada Rehabilitas Residen. Jurnal Basicedu, 7(4), 2406–2417. https://doi.org/10.31004/basicedu.v7i4.5633

Zahra, S. F., Hakim, A., Syafiq, A., & Makmur. (2025). Faktor maraknya penyalahgunaan narkotika di kalangan anak muda. Keadilan, 3(1). https://doi.org/10.62565/keadilan.v3i1.86

Hariyanto, B. P. (2018). Pencegahan dan pemberantasan peredaran narkoba di Indonesia. Jurnal Keadilan, 1(1). https://dx.doi.org/10.30659/jdh.v1i1.2634

Oktaviani, S., & Yumitro, G. (2022). Ancaman bahaya narkoba di Indonesia pada era globalisasi. Jurnal Education and Development, 10(2). https://doi.org/10.37081/ed.v10i2.3544

Adiyanti, M. G. (2019). Inisiasi ketangguhan masyarakat dalam mengatasi adiksi NAPZA: Menelaah program rehabilitasi. Buletin Psikologi, 27(1). https://doi.org/10.22146/buletinpsikologi.45890

Fitri, K., & Asra, Y. K. (2023). Karakteristik remaja dan potensi penyalahgunaan narkoba. Jurnal Psikologi Islam dan Budaya, 4(2). http://dx.doi.org/10.24014/pib.v4i2.21270

Nur’artavia, M. R. (2017). Karakteristik Pelajar Penyalahguna Napza Dan Jenis Napza Yang Digunakan Di Kota Surabaya. The Indonesian Journal of Public Health, 12(1), 27–38. https://doi.org/10.20473/ijph.v12i1.2017.27-38

Prasetyo, T. F., Idrus, M., & Yuliani, M. S. S. (2018). Sistem pakar pelayanan dan penyalahgunaan narkoba. INFORMATECH Journal, 4(1). https://doi.org/10.31949/inf.v4i1.825

Syahputra, T., & Maya, W. R. (2019). Implementasi Sistem Pakar Untuk Mengidentifikasi Pecandu Narkoba Menggunakan Metode Teorema Bayes. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer), 18(2), 111-118. https://doi.org/10.53513/jis.v18i2.149

Aldo, D., & Putra, S. E. (2020). Sistem pakar diagnosis hama dan penyakit bawang merah menggunakan metode Dempster Shafer. Komputika: Jurnal Sistem Komputer, 9(2), 85-93. https://doi.org/10.34010/komputika.v9i2.2884

Nasution, R. D. F., Hutagalung, J. E., & Kifti, W. M. (2022). Sistem pakar deteksi awal Covid-19 menggunakan metode certainty factor. Building of Informatics, Technology and Science (BITS), 4(1), 60-68. https://doi.org/10.47065/bits.v4i1.1508

Ilmawati. (2022). Metode forward chaining dan certainty factor untuk antisipasi kecanduan game online berbasis web. Jurnal Sains Informatika Terapan, 1(3). https://doi.org/10.62357/jsit.v1i3.109

Anggrawan, A., Satuang, & Abdillah, M. N. (2020). Sistem pakar diagnosis penyakit ayam broiler menggunakan forward chaining dan certainty factor. Matrik: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 20(1), 97-108. https://doi.org/10.30812/matrik.v20i1.847

Borman, R. I., Napianto, R., Nurlandari, P., & Abidin, Z. (2020). Implementasi certainty factor dalam mengatasi ketidakpastian pada sistem pakar diagnosa penyakit kuda laut. JURTEKSI (Jurnal Teknologi dan Sistem Informasi), 7(1), 1-8. https://doi.org/10.33330/jurteksi.v7i1.602

Mulyani, A., Kurniadi, D., & Multajam, S. I. (2023). Penerapan metode certainty factor pada sistem pakar diagnosis penyakit difteri berbasis web. Teknika, 12(3). https://doi.org/10.34148/teknika.v12i3.686

Widiyawati, C., & Imron, M. (2018). Sistem pakar diagnosa penyakit pada kucing menggunakan metode naive bayes classifier. Techno.COM, 17(2), 134-144.

Sari, D. A. I., Nofriadi, & Mardalius. (2022). Penerapan metode forward chaining pada sistem pakar pendeteksi awal omicron. Edumatic: Jurnal Pendidikan Informatika, 6(2), 224-233. https://doi.org/10.29408/edumatic.v6i2.6316

Al Hakim, R. R., Rusdi, E., & Setiawan, M. A. (2020). Android based expert system application for diagnose COVID-19 disease: Cases study of Banyumas Regency. Journal of Intelligent Computing and Health Informatics, 1(2). https://doi.org/10.26714/jichi.v1i2.5958




DOI: http://dx.doi.org/10.66202/jesik.v12i1.171

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Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Bina Mulia Palu