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Identification of Nervosa Disease using Case-Based Reasoning Gunung, Tar Muhammad Raja; Suri, Riko Muhammad; Purnomo, Nopi; Idaman, Akbar; Muis, Abdul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3227

Abstract

Among teenagers or adults, body shape greatly affects a person's confidence. Most people will be very confident if their body shape is ideal, where the person will be very confident speaking in public. Different things with people who have a body shape that is too thin/fat, so their confidence is less to appear in public. To get the ideal body shape they will do everything possible, one of which is dieting, taking weight loss capsules, and so on. They do not know the dangers of dieting too strictly and taking weight loss capsules carelessly which can make them contract Nervosa disease. To get the results of the expert system, the case-based reasoning method will be used. After this application is built, the result obtained is the type of nervosa disease based on the symptoms felt by the user.
Web-Based Job Portal System with WhatsApp Integration for Interview Invitation and Verification Automation Ade, Ade Agung Kurniawan; Suri, Riko Muhammad; Maharani , Putri Decelia
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.14690

Abstract

In the digital era, job searches increasingly rely on online platforms that provide real-time job vacancy information. However, the conventional recruitment process still faces various obstacles, such as delays in information to applicants, the amount of administrative costs used by applicants in preparing documents to apply for jobs, vulnerable to fraudulent locker information from fake companies which of course this is detrimental and has an impact on job applicants. WhatsApp as the most popular communication media in Indonesia is a strategic opportunity in answering these challenges. This research aims to develop a digital-based job vacancy application with an integrated WhatsApp-based automatic verification interview invitation system and offer applicants the convenience of applying for a job and the ease of the Company in managing job applicant data to be more effective and efficient. This study is on the Instagram account @infokerjambi job vacancy media in Jambi Province with 50.1 thousand followers and 1.2 million profile impressions. Based on data from BPS Jambi Province, the Open Unemployment Rate (TPT) is 4.45. The Waterfaal model method used in this research and the test results show that the system is able to speed up the information process of sending interview invitations, reduce the potential for information delays because the system presents interview invitation features to wa applicants, applications and applicant emails in real time and increase security and trust in the recruitment process. For applicants, this system provides easy access to valid and real-time interview information, thus reducing the risk of fraud from verified companies. For companies, this system improves the management of applicant data management and administrative efficiency to reach a wider range of candidates.
Design and Evaluation of a Web-Based Geographic Information System for PPDB Promotion Zoning Based on Student-Origin Distributions Suri, Riko Muhammad
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12706

Abstract

Advances in information technology have accelerated the digitalization of educational services, including Indonesia’s student admission process (PPDB). This study designs and evaluates a web-based Geographic Information System (GIS) to map student-origin distributions and construct promotion zones that guide PPDB outreach strategies. The system was built with CodeIgniter and Leaflet for interactive mapping, while applicant addresses/school origins were processed via geocoding. Outputs include point maps, density heatmaps, administrative-area aggregation (urban village/sub-district), and simple distance buffers (e.g., 1–3 km) to derive rule-based priority promotion zones (thresholds on density and proximity to the school). Evaluation comprised functional testing (black box) and user assessments using questionnaires (Likert/SUS). Results indicate that the system expedites registration, reduces the risk of data loss, simplifies data summarization, and provides promotion-zoning maps that help committees target outreach more effectively. The contributions are: (1) a PPDB web-GIS model that combines origin mapping with rule-based promotion zoning, (2) a replicable operational workflow, and (3) recommendations for future work, including advanced analytics dashboards and automated notifications