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Expert System for Diagnosing Autoimmune Diseases Using Dempster–Shafer and Fuzzy Logic: A Case Study of Prof. Dr. Margono Soekarjo Regional Hospital Rahmadani, Ragil Putri; Nur, Yohani Setiya Rafika; Utami, Annisaa
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5585

Abstract

Autoimmune diseases, particularly lupus, pose a major challenge in healthcare because their symptoms are highly variable and often mimic other medical conditions. Delayed diagnosis can worsen patient outcomes, increase the risk of severe complications, and even lead to death, especially in healthcare facilities with limited autoimmune subspecialists, such as Prof. Dr. Margono Soekarjo Regional Hospital. This study aims to develop a web-based expert system to support early screening for lupus by combining the Fuzzy Tsukamoto method and the Dempster-Shafer theory. The Fuzzy Tsukamoto method is used to represent symptom uncertainty through fuzzification, while the Dempster-Shafer theory is used to combine evidence from individual symptoms to produce confidence levels for possible diagnoses. The research process included a literature review, expert interviews, construction of a symptom–disease knowledge base, design of fuzzy rules, implementation of mass function calculations, and development of a web-based diagnostic application. Testing was conducted using ten patient test cases with confirmed expert diagnoses. The test results showed an accuracy of 100%, with all system diagnoses matching the experts’ diagnoses. The strength of this research lies in the integration of two inference methods to improve the accuracy of evidence calculation, and in the use of symptom uniqueness and occurrence parameters that were validated directly by experts. This system has the potential to serve as an effective early screening tool for healthcare providers and patients, particularly in resource-limited settings. From an informatics perspective, this study contributes to the development of intelligent decision support systems by demonstrating the effectiveness of a hybrid reasoning approach in handling uncertainty in medical diagnosis. The integration of Fuzzy Tsukamoto and Dempster–Shafer methods enhances diagnostic consistency and reliability, making the proposed system relevant for research in expert systems and medical informatics.
Implementasi Program BUNDACERDAS sebagai Multimedia Interaktif Edukasi Gizi Ibu Hamil dalam Upaya Pencegahan Stunting Dasril Aldo; Yohani Setiya Rafika Nur; Adanti Wido Paramadini; Muhammad Zaky Mubarok; Harald Riandi Rantetana Purukan; Muhammad Nazmi Al Faiz
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2026): April
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i1.2026

Abstract

The main problem faced by partner communities in Muntang Village is the low knowledge of pregnant women related to nutritional fulfillment during pregnancy and the strong influence of myths that are not based on science, which has the potential to increase the risk of stunting. This service activity aims to increase the knowledge and awareness of pregnant women, PKK mothers, and posyandu cadres through the use of interactive multimedia nutrition education. The solution offered is the development and implementation of the BUNDACERDAS application as a digital-based educational media that contains material about the First 1000 Days of Life, the nutritional needs of pregnant women, stunting prevention, and interactive quiz features. The method used is a participatory approach through the stages of observation, socialization, training, implementation, and evaluation. The results of the activity showed an increase in participants' knowledge by an average of 31 percent based on a comparison of pre-test and post-test in 50 participants. In addition, the participants' satisfaction level achieved an average score of 4.6 out of a scale of 5 which was included in the very satisfied category. Thus, this activity has proven to be effective in increasing community nutrition literacy and has the potential to be developed sustainably as a technology-based health education media.
Co-Authors Adanti Wido Paramadini Ade Prasetyo, Ade Adriano, Riftian Dimas Afifatul Fajri, Nabila Ajeng Dyah Kurniawati Al Faiz, M. Hanif Alfonsus Simbolon Alika, Shintia Dwi Amalia Beladinna Arifa Aminatus Sa’adah Andre Citro Febriliyan Lanyak Audrey Hillary Auliya Burhanuddin Azmi, Wifqi Wifakul Bachrul Restu Bagja Bidayatul Masulah Bita Parga Zen Christantie Effendy Christian Tambunan, Gerry Claudio Felle, Roland Dading Qolbu Adi Dasril Aldo Dedi Rahman Habibie Dedy Agung Prabowo Deni Romadan, Muhamad Dwi Putro Wicaksono, Aditya Edelin Gultom Endraswari, Putri Mentari Eryan Ahmad Firdaus Faisal Dharma Adhinata Faiz, M. Hanif Al Fathan, Faizal Burhani Ulil Fau, Andrew Filfimo Yulfiz Ahsanul Hulqi Firmansyah, Muhammad Raafi'u Gusla Nengsih, Yeyi Gusnita Linda Harald Riandi Rantetana Purukan Hasan, Faiz Hidayat, Afifah Naurah Imam Ghozali J. Manurung, Barnes Kristanto, Joshua Putra Fesha Lina Fatimah Lishobrina Luqman Wahyudi M Yoka Fathoni Maulana, Ihsan Maulana, ⁠Ihsan Melinda Br Ginting Miftahul Ilmi Muadin, Dika Alim Muhamad Azrino Gustalika Muhammad Nazmi Al Faiz Muhammad Zaky Mubarok Nadia Ayu Isroh Nia Annisa Ferani Tanjung Nur Ghaniaviyanto Ramadhan Nurhaeka Tou Pamuji, Yanuar Ikhsan Paradise Rahmadani, Ragil Putri Ramadhani, Rima Dias Rania Nur Hikmah Rianto Putra, Frederick Ridho Rahmadi Sa'adah, Aminatus Sahara Sahara Sapta Eka Putra Sulaeman, Gilang Suprapto, Amelia Rut Suryani, Ajeng Ayu Syahputra, Dio Trihastuti Yuniati Ummi Athiyah Usman, Muhammad Lulu Latif Utami, Annisaa Wahyu Adi Prabowo Wanda Ilham Warto Widya Lelisa Army Yasin, Feri Yehezekiel Ramasyah Putra Haloho Yoka Fathoni, M. Yuan Sa'adati Zahirah, Regina Putri Wanda