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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Media Infotama JSI: Jurnal Sistem Informasi (E-Journal) Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri EKONOMIS : Journal of Economics and Business PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer International Journal of New Media Technology Jurnal ULTIMATICS The IJICS (International Journal of Informatics and Computer Science) JOURNAL V-TECH (VISION TECHNOLOGY) Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Bulletin of Data Science ABDINE Jurnal Pengabdian Masyarakat Journal of Computing and Informatics Research Jurnal Komunikasi, Sains dan Teknologi (JKST) Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS West Science Interdisciplinary Studies Journal of Informatics, Electrical and Electronics Engineering West Science Interdisciplinary Studies Jurnal Rekayasa Sistem Informasi dan Teknologi Bulletin of Informatics and Data Science Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Akademika Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Proletarian : Community Service Development Journal International Journal of Innovation Research in Education, Technology and Management (IJIRETM) Journal of Decision Support System Research
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Application of the ANFIS Model in Predicting Diabetes Mellitus Disease Nurfazila, Aprilia; Rohayani, Hetty
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4479

Abstract

This study presents the application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) model for predicting Diabetes Mellitus using two primary input features, namely glucose level and body mass index (BMI). The research employs a quantitative experimental approach using the public diabetes dataset obtained from Kaggle. The data underwent preprocessing steps, including cleaning, normalization, and splitting into training and testing subsets. The ANFIS model was designed with fuzzification, rule-based inference, and a hybrid learning algorithm to optimize membership function parameters. Model evaluation was conducted using accuracy, precision, recall, and F1-score. The results show that the ANFIS model achieved an accuracy of 69.70% on the test dataset, demonstrating strong sensitivity in detecting diabetic cases but generating a notable number of false positives. These findings indicate that ANFIS has potential as an early-screening decision support tool, although further optimization and additional features are required to enhance predictive performance.
Expert System for Diagnosing Human Psychological Disorders Using the Forward Chaining Method Hesti; Hetty Rohayani
IJNMT (International Journal of New Media Technology) Vol 12 No 2 (2025): Vol 12 No 2 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i2.4512

Abstract

This study aims to design an expert system capable of providing early diagnosis of human psychological disorders using the Forward Chaining method. The research was conducted through a literature review, the development of a knowledge base, and the formulation of rule-based diagnostic structures derived from psychological references, including the DSM-5. The system is designed to identify eight common psychological disorders using twenty primary symptoms that are mapped into IF–THEN rules. The inference process operates by matching user-selected symptoms with the rules contained in the knowledge base. The results indicate that the Forward Chaining method can systematically and logically generate early diagnostic indications for disorders such as depression, anxiety, bipolar disorder, PTSD, and others. A case simulation demonstrates that the reasoning mechanism is able to produce accurate conclusions based on the combination of symptoms entered. Although the system has not yet been implemented as a software application, this study confirms that the conceptual design of an expert system using Forward Chaining can serve as an effective tool for early mental-health detection and has strong potential for further development.
Co-Authors -, Irsyadunas Ade Irma Agustina Lubis Ade Pratama Adi Supriyatna Afrizal J, S.Kom Agi Nanjar Agustina, Safira Akbar, Zulfikri Amalia, Dira Amandha, Shandy Amin Amin Ananda Sri Mardiana Andrico, Ricky Anugrah, Septriyan Ardian, Iqbal Ardiansyah, Lulu Arif Mursidan Arini, Zaza Mutiara Armandito Armiwita, Armiwita Arniwita Arniwita, Arniwita Arpan Saputra Harahap Azzamy, Muhammad Nabil Barkat Harefa Bella Putri Cahyani Beni Irawan Bintang, Muhammad Rizki Olihta Bister Purba Boangmanalu, Mei Mariana Dani, Rian Derist Touriano Desyanti - Desyanti Dewi Lestari Dina Fitria Murad Dwi Nopriyani Ebenezer Bangun Ediansa, Oka Eka Gustina Bancin Endah Tri Kurniasih Endah Tri Kurniasih Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando B311087192 Erlin Windia Ambarsari Ermaini Ermaini Ermaini Fachruddin, Fachruddin Faiza Rini Fery Purnama, Fery Fitriyani, Mia Frieyadie Frieyadie Govinda Saputra Hafiz Nugraha Hafiz Nugraha Helmina Helmina Helmina Helmina Helmina, Helmina Heri Santoso Hesti Ibnu Sani Wijaya Ikke Yamalia Imam Saputra Indah Desmasari Indradewa, Rhian Irmanelly Irmanelly, Irmanelly Irvan Siahaan Jasmir Jeperson Hutahaean Jumaryadi, Yuwan Kevin Kurniawansyah Kevin Kurniawansyah Khairul Imtihan Kurniawansyah, Kevin Lubis, Ridha Maya Faza M. Reinaldi Marthiawati H, Noneng Marthiawati, Noneng Mesran, Mesran Muhamad Irsan Muhammad Alfareza Muhammad Alfareza Muhammad Choirul Umam Muhammad Fauzi Muhammad Fauzi Muhammad Ikhsan Muhammad Ikhsan Muhammad Syahrizal Nanjar, Agi Nazrul Azizi Noneng Marthiawati Noneng Marthiawati. H Novia, Tri Meli NOVITASARI Nurdiansyah Saputra Nurfazila, Aprilia Nursaka Putra Oka Ediansa Oktarino, Ade Pandapotan Siagian Pandapotan Siagian Pandapotan Siagian Partogi Simanjuntak Purba, Bister Purnama, Benni R, Muhammad Rachmad Rahmi Handayani Rahmi Handayani Ramli, M Saidina Rendi Efdiansyah Rico Rico Rico Rico Rico Rico Rico Rico Rico, Rico Ridha Maya Faza Lubis Rifky Lana Rahardian Rifky Lana Rahardian Riski Ferita Wahyu Rizky Pratama Rohmat Indra Borman Safira Agustina Safira Agustina Sahrawi Sahrawi Sallaby, Achmad Fikri Salsabila Tadya Hasibuan Salsabila Tadya Hasibuan SANTOSO SANTOSO Sherina Intania Siagian, Jaya Sari Anggraini Siagian, Pandapotan Sitti Nur Alam Steven, Ferry Surjandy Surjandy Sussolaikah, Kelik Syam, Syahrull Hi Fi Tertia, Farhan Adhimukti Valian Yoga Pudya Ardhana Yaakub, Saleh Yuniar, Fira Yuvanda, Sesraria Zai, Iwanman Zulfikri Akbar Zulpandi, Zulpandi