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All Journal Jurnal Pengabdian UntukMu NegeRI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JITK (Jurnal Ilmu Pengetahuan dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research Jurnal AbdiMas Nusa Mandiri JPM: JURNAL PENGABDIAN MASYARAKAT Abditeknika - Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Kreatif Cemerlang Indonesia Vertex Repeater: Publikasi Teknik Informatika dan Jaringan
Tuslaela
Universitas Nusa Mandiri
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Journal : Jurnal Riset Informatika

 1 
An Expert System for Detection of Diabetes Mellitus with the Forward Chaining Method Tati Mardiana; Ega Maulana Ditama; Tuslaela Tuslaela
Jurnal Riset Informatika Vol. 2 No. 2 (2020): March 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i2.49

Abstract

In recent years, diabetes mellitus in Indonesia has become a health problem in the community because its population has increased 2-3 times faster than in other countries. Diabetes prevalence in Indonesia ranks 4th highest globally after China, India, and the United States. People can prevent complications and premature death if they detect early symptoms of diabetes. However, people do not know that they are at risk of diabetes and do not have knowledge about the symptoms of diabetes, the complexity of the process of diagnosis, and the high cost of examinations. Therefore, we need an application that can provide the results of the type of diabetes and its management solutions as practiced by experts. This research aims to develop an expert system for detecting types of diabetes such as type one diabetes, type two diabetes, neuropathy diabetes, diabetes retinopathy, and diabetes nephropathy. The object of this research is diabetes, which was carried out from March to April 2019 in the Klinik Pratama Desa Putera. This study uses primary data from patients with a history of diabetes at Klinik Pratama Desa Putra and secondary data from literature, research journals, and data documents needed to compile this study. In addition, we generated a knowledge base using forward chaining. The test results show that the expert system meets the functional requirements, and the system performance reaches an accuracy of 100%. This expert system helps people in Indonesia to detect diabetes early so that it can prevent complications.
The Scholarship Awarding Decision Support System uses the TOPSIS Method Tuslaela Tuslaela
Jurnal Riset Informatika Vol. 2 No. 4 (2020): Period September 2020
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i4.122

Abstract

Education has an important role as an effort to educate the nation. Education is the right of everyone, but not everyone can continue higher education for various reasons. One of them is limited financial and financial resources. TOPSIS is a multi-criteria dynamic strategy or elective decision which is an elective that has the littlest good ways from the positive ideal arrangement and the largest distance from the negative ideal solution from a geometric point of view using the Euclidean distance. This study aims to determine the criteria for scholarship recipients that can be implemented in a campus, school, or other social institution that provides funds for scholarship assistance. The research results are expected to serve as a reference for the decision making process. The results showed a preference value of 0.66 which is based on academic achievement.
Co-Authors Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Khadafi Al Hakim, Imam Taftazani Anneke Indra Kirana Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti D. Desmira Dannys Permadi Dinda Juliana Ega Maulana Ditama Eka Kusuma Pratama Elok Nur Aeni Embun Fajar Wati Enok Tuti Alawiah Ernawati, Siti Faqih Muhammad Farhan Rahmadhani Helina Apriyani Ihsanurrijal Muwahid INDAH PURNAMASARI Indah Purnamasari Indah Purnamasari Ishak Kholil Ishak Kholil Istikharoh, Istikharoh Kadafi, Abdul Rahman Laila Septiana Nazarius, Jerry Kristian Ricardus Mba Dala Pati Rusdiansyah , Rusdiansyah Rusdiansyah Rusdiansyah Santoso Setiawan Siti Ernawati - STMIK Nusa Mandiri Sri Rusiyati Sri Rusiyati Suharyanti , Nining suharyanti, Nining Supendar , Hendra Syahreva, Hafiz Tati Mardiana Tati Mardiana, Tati Yopi Handrianto, Yopi Yoseph Adrianus Ino Yumi Novita Dewi Yunan Maulana Putra