cover
Contact Name
Ahmad Ilham
Contact Email
ahmadilham@unimus.ac.id
Phone
+6282225426654
Journal Mail Official
jichi.informatika@unimus.ac.id
Editorial Address
Jl. Kedungmundu Raya No. 18 Semarang, Jawa Tengah - Indonesia 50273
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN : 27156923     EISSN : 27219186     DOI : https://doi.org/10.26714/jichi
Journal of Intelligent Computing & Health Informatics (JICHI) was printed in March 2020. JICHI is a scientific review journal publishing that focus on exchanging information relating to intelligent computing and health informatics applied in industry, hospitals, government, and universities. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Two types of papers are accepted: (1) A short paper that discusses a single contribution to a specific new trend or a new idea, and; (2) A long paper that provides a survey of a specific research trend using a systematic literature review (SLR) method, as well as a traditional review method. Topics of interest include, but are not limited to: Intelligent Computing Include Machine Learning; Reinforcement Learning; Computer Vision; Image Processing; Scheduling and Optimization; Bio-inspired Algorithms; Business Intelligence; Chaos theory and intelligent control systems; Robotic Intelligent; Multimedia & Application; Web and mobile Intelligence and Big Data, etc.) Health Informatics Include Electronic health record; E-Health Information; Medical Image Processing & Techniques; Data Mining in Healthcare; Bioinformatics & Biostatistics; Mobile applications for patient care; Medical Image Processing & Techniques; Hospital information systems; Document handling systems; Electronic medical record systems; standardization, and systems integration; ICT in health promotion programmes e-health Guidelines and protocols; E-learning & education in healthcare; Telemedicine Software- Portals-Devices & Telehealth; Public health & consumer informatics; Data Mining & Knowledge Discovery in Medicine; ICT for Patient empowerment; ICT for Patient safety; Medical Databanks-Databases & Knowledge Bases; Healthcare Quality assurance; Nursing Informatics; Evaluation & Technology Assessment; Home-based eHealth; Health Management Issues; Health Research; Health Economics Issues; Statistical Method for Computer Medical Decision Support Systems; Medical Informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
Articles 3 Documents
Search results for , issue "Vol 3, No 1 (2022): March" : 3 Documents clear
Website-Based System Prototype Development for Classify Student Characteristics Kencana, Lisdi Inu; Rafrastara, Fauzi Adi; Paramita, Cinantya
Journal of Intelligent Computing & Health Informatics Vol 3, No 1 (2022): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i1.10364

Abstract

Student characteristics are important attributes in understanding their academic abilities and ways of thinking. In the teaching and learning process, the right learning strategy is very important to implement. According to the Hippocrates-Galenus Typology, personality types are categorized into four categories, including sanguinis, choleric, melancholics, and phlegmatics. The Classification of student characteristics using experience and intuition methods often gives inaccurate results and takes a long time to understand their behavior and way of thinking. In our research, we developed a prototype cognitive system website to classify student characteristics at SD Wijaya Kusuma 02 Semarang. There are several stages of the proposed method, including, communication, rapid planning, rapid design modeling, prototype construction, and delivery & feedback deployment. The C4.5 algorithm is applied as the modeling of student characteristics classification. The results showed a fairly good accuracy of 90.08%. It can be concluded that the C4.5 algorithm can classify student characteristics well.
Implementation of Named Entity Recognition with a Developing Question Answering System: A Case Study in the Merapi Volcano Museum Khusna, Arfiani Nur; Putri, Okhy Kharisma; Saputra, Dimas Chaerul Ekty
Journal of Intelligent Computing & Health Informatics Vol 3, No 1 (2022): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i1.9205

Abstract

Merapi volcano museum is a place to get some information about active mountain activities, the general public can access the website page at mgm.slemankab.go.id. Indeed, visitors are given easy access, but the information provided by the website is not fully complete, causing visitors to feel dissatisfied. Based on the results of a questionnaire from 40 respondents, it was found that 50.55% of website visitors did not get the information they wanted. Therefore, in this research, we built a Question Answering System (QAS) using the Named Entity Recognition (NER) method that has been implemented into Telegram. To improve the performance of the QAS system, testing and analysis has been carried out with a "white box" approach. The results show that the QAS system has 3 regions and 3 independent paths, with path 1 being 1-2-3-4-11, path 2 being 1-2-3-4-5-6-7-8-11, and path 3 being 1-2-3-4-5-6-7-9-10-11. Based on the results of this study, all three paths can produce the correct answer.
Ordinal Logistic Regression Approach for Probability Analysis of Student Stress Levels Khikmah, Laelatul; Ratnasari, Elis Meida
Journal of Intelligent Computing & Health Informatics Vol 3, No 1 (2022): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i1.11793

Abstract

Stress is a condition or condition where a person feels pressured because of the many demands, both from within and from outside the individual that must be met. Stress is an uncomfortable stressful event for someone that can cause negative effects such as dizziness, emotional instability, irritability, loss of appetite, difficulty concentrating, and difficulty sleeping. One of the factors that cause stress is doing the Final Project. Someone who is experiencing stress can be seen from the level of stress, namely the level of mild, moderate and severe stress. To see a person's stress level, several variables can be used, namely physiological, emotional, cognitive, supervisory, and knowledge variables. This study aims to find out what variables affect stress levels in students. The analysis used is Ordinal Logistic Regression analysis which is one of the statistical analyzes used to determine the probability of events that are affected by the independent variable, where the response variable is a categorical scale. Variables that affect stress levels are emotional, cognitive and knowledge variables. The results showed that the higher a person's emotion, cognitive and knowledge, the smaller the chance for someone to experience severe levels of stress.

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