Expert System for Diagnosing Diseases in Pregnant Women Using the Forward Chaining Method
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Abstract
Pregnant women can be attacked by pregnancy disease, the disease can be known from the symptoms it causes, however, to find out exactly what disease is suffered by pregnant women, an expert or obstetrician is needed. In this study a website-based expert system was designed using basic rules with the forward chaining inference method aimed at helping pregnant women in diagnosing pregnancy diseases early on. This expert system is capable of diagnosing diseases suffered by pregnant women in accordance with the symptom questions posed to be answered by pregnant women, will display the results of the diagnosis, details about the disease and how the disease is treated.
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Articles
References
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Azmi, Z dan Yasin, V. Pengantar Sistem Pakar dan Metode. Jakarta: Mitra Wacana Media, 2017.
E. Krisnanik, K. Tambunan and H. N. Irmanda, "Analysis of Pregnancy Risk Factors for Pregnant Women Using Analysis Data Based on Expert System," 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, 2019. https://ieeexplore.ieee.org/document/8985211
Jayanti. Faktor Yang Memengaruhi Kematian Ibu (Studi Kasus Di Kota Surabaya). Jurnal Wiyata: Penelitian Sains dan Kesehatan (iik.ac.id)
Kehui Song, Julien De Jonckheere, Xianyi Zeng, Ludovic Koehl, Xiaojie Yuan, Xin Zhao, Development of a data-based interactive medical expert system for supporting pregnancy consultations: general architecture and methodology, IFAC-PapersOnLine, Volume 52, Issue 19, 2019. https://www.sciencedirect.com/science/article/pii/S2405896319319445
Krisdayanti, Evi. 2020. Studi Empiris Unified Theory of Acceptance and Use of Technology (UTAUT) Terhadap Minat Penggunaan Layanan Uang Elektronik di Indonesia - Electronic theses of IAIN Ponorogo. Etheses.iainponorogo.ac.id/10252
Krisnita Dwi Jayanti, Hari Basuki N, Arief Wibowo. Jurnal Wiyata vol 3 no 1. 2020
Melly Damayanti. Jurnal Asuhan Kebidanan. Edisi 3. Asuhan-Kebidanan-pada-Masa-Pandemi-Covid-19.pdf (researchgate.net)
Muhammad Ridho Handoko, Neneng Neneng, jurnal teknologi dan sistem informasi vol 2 no.1, 2021 http://jim.teknokrat.ac.id/index.php/sisteminformasi/article/view/739
Prayuda Rahadian, Diah Arifah, Arif Tirtana. Sistem Pakar Diagnosa Penyakit Kucing Menggunakan Metode Forward Chaining Berbasis Android. J-Intech. Volume 9 No 2. Desember 2022. ISSN. 2302-1425. https://jurnal.stiki.ac.id/J-INTECH/article/view/557/449
Rachmat Agusli, M Iqbal, Fendi SaputraSistem Pakar Diagnosa Penyakit Ibu Hamil dengan metode Certainly Factor berbasis web. Academic Journal of Computer Science Research. Vol 1 no. 1 Januari 2020.
Rawansyah, Vivin Ayu Lestari, Anita Sari. Sistem Pakar Diagnosa Dini Preeklampsia Pada Ibu Hamil Menggunakan Fuzzy Logic dan Certainly Factor. Seminar Informatika Aplikatif Polinema. 2020.
Retno Supriyanti, Ahmad Fariz, dkkSimple Screening for High-Risk Pregnancies in Rural Areas Based on an Expert System. Telkomnika. Vol 13. No 2. 2015
Russell S, Norvig P. 2005. Inference In First order Logic, Forward Chaining. Artificial Intelligence, A modern Approach, Prince Hall, New Jersey
SARI, DIAN PUSPIKA and Mutahar, Rini (2019) Faktor-Faktor Yang Mempengaruhi Kejadian Fertilitas Pada Remaja Di Indonesia (Analisis Data SDKI 2017) - Sriwijaya University Repository (unsri.ac.id)
Sri Emilda. Pelaksanaan Konseling Tanda-Tanda Bahaya Kehamilan Menggunakan Buku Kia Di Kelurahan Talang Jambe Palembang Tahun 2021 | Jurnal Pengabdian Masyarakat Nusantara (lembagakita.org). Vol 2 no 1. 2022.
Sri Putriani Sinaga. Evidence Based Journal. Vol 2 no 1. 2022. Pengaruh Pekerjaan Terhadap Rendahnya Pemakaian Alat Kontrasepsi Implan Di Wilayah Kerja Puskesmas Gunung Tinggi Kabupaten Deliserdang Kecamatan Pancur Batu Tahun 2019 | Evidance Bassed Journal (stikessehati.ac.id)