Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat JIM ( Journal International Multidiciplinary)
Zul Indra
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
An Expert System for Diagnosing Monkeypox Diseases Using Forward Chaining Method by Mobile Zul Indra; Ramalia Noratama Putri; Meilani Putri Efendy
JIM - Journal International Multidisciplinary Vol. 1 No. 1 (2023)
Publisher : Rumah Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jim.v1i1.216

Abstract

Abstract- Monkey pox is a disease transmitted by an animal virus. The virus is spread through direct contact with animals or from people who have been exposed to the disease. The development of technology in this era is quite rapid and is widely used as a means to improve human performance. The development of technology is currently widely used in the field of artificial intelligence. An expert system is a reasoning system that uses special knowledge to detect diseases. Today's society diagnoses itself a lot without knowing whether or not the disease is true. So this application helps to solve these problems. One of the diseases that uses artificial intelligence technology with the help of expert systems is monkey pox. In this application, the author uses the forward chaining method to form reasoning in the expert system. This method begins with collecting facts to make provisions as predicted. This application is intended to help people overcome confusion due to monkey pox while providing information to the general public about various types of diseases that exist in the community. This expert system is based on the study of literature such as texts, books, and journals. Well, from this application, users can choose the symptoms of the disease experienced by the patient, and the data will be processed to produce a diagnosis of the disease. 
Digital Village Transformation through the Desa Cantik (Desa Cinta Statistik) Program to Support Village SDGs: Transformasi Digital Desa melalui Program Desa Cantik (Desa Cinta Statistik) untuk Mendukung SDGs Desa Arisman Adnan; Gustriza Erda; Anne Mudya Yolanda; Syamsudhuha, Syamsudhuha; Zul Indra; Titi Solfitri; Masrina Munawarah T
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 3 (2026): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v10i3.34312

Abstract

The availability of accurate, up-to-date, and integrated village data is essential for evidence-based development. However, many villages still face challenges related to limited statistical literacy, unsystematic data management, and low utilization of digital technology. This community service program aimed to enhance the capacity of village officials in Bantar Village, Kepulauan Meranti Regency, in managing sectoral statistics through the Village Statistics Awareness Program (Desa Cantik). The activities employed a participatory approach, including training, mentoring, village database digitalization, development of a village website and dashboard, and preparation of spatial thematic maps. The program involved university lecturers, integrated community service students, Statistics Indonesia (BPS), and village officials. Evaluation results showed a 78% improvement in sectoral data management skills and a 75% increase in digital dashboard utilization. The program produced a digital village database, data dashboard, infographics, videographics, and thematic maps that support public information transparency and the achievement of Village SDGs.
Co-Authors Anne Mudya Yolanda Arisman Adnan Gustriza Erda Masrina Munawarah T Meilani Putri Efendy Ramalia Noratama Putri Syamsudhuha Syamsudhuha Titi Solfitri