cover
Contact Name
Hindayati Mustafidah
Contact Email
jurnal.juita@gmail.com
Phone
+6285842817313
Journal Mail Official
jurnal.juita@gmail.com
Editorial Address
Gedung Fakultas Teknik dan Sains Universitas Muhammadiyah Purwokerto Jl. K.H. Ahmad Dahlan, Dukuh Waluh, Kembaran, Banyumas, Central Java, Indonesia
Location
Kab. banyumas,
Jawa tengah
INDONESIA
JUITA : Jurnal Informatika
ISSN : 20869398     EISSN : 25798901     DOI : 10.30595/JUITA
Core Subject : Science,
UITA: Jurnal Informatika is a science journal and informatics field application that presents articles on thoughts and research of the latest developments. JUITA is a journal peer reviewed and open access. JUITA is published by the Informatics Engineering Study Program, Universitas Muhammadiyah Purwokerto. JUITA invites researchers, lecturers, and practitioners worldwide to exchange and advance knowledge in the field of Informatics. Documents submitted must be in Ms format. Word and written according to author guideline. JUITA is published twice a year in May and November. Currently, JUITA has been indexed by Google Scholar, IPI, DOAJ, and has been accredited by SINTA rank 2 through the Decree of the Director-General of Research and Development Strengthening of the Ministry of Research, Technology and Higher Education No. 36/E/KPT/2019. JUITA is intended as a media for informatics research among academics, practitioners, and society in general. JUITA covers the following topics of informatics research: Software engineering Artificial Intelligence Data Mining Computer network Multimedia Management Information System Digital forensics Game
Articles 14 Documents
Search results for , issue "JUITA Vol. 9 No. 2, November 2021" : 14 Documents clear
Editor Preface and Table of Content JUITA: Jurnal Informatika
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.63 KB) | DOI: 10.30595/juita.v9i2.12360

Abstract

Editor Preface and Table of Content Vol 9 No. 2 November 2021
Developing Integrated Smartphones Notification of Server Resource Monitoring System Using Zabbix, Webhook, and Telegram Sulasno Sulasno; Rakhmat Saleh; Intan Savitri
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1611.067 KB) | DOI: 10.30595/juita.v9i2.10411

Abstract

Server monitoring activities are important to ensure the availability of resources used for the execution of its internal processes. Generally, Administrators monitor the use of server resources through a computer using a browser. The problem with monitoring through a computer is less flexible and slow for checking notifications about the state of problem server resources in real-time anytime and anywhere using smartphones. This study aims to develop notification integration on smartphones from a server resource monitoring system using Zabbix Webhook and Telegram. The research method used is the Cisco PPDIOO Lifecycle Approach to Network Design and Implementation. As a case study, it is located at the Center for Empowerment of Informatics and Nuclear Strategic Area, the National Nuclear Energy Agency. The results of the study are notifications on smartphones via the Telegram bot account indicating a problem with resource usage. The results of this study have been used by server Administrators. The server Administrators have provided information about the benefits of this system, for flexibility, speed of getting information in resource usage, identifying, and resolving problems before there are complaints so that the quality of service is getting better.
Pillar Algorithm in K-Means Method for Identification Health Human Resources Availability Profile in Central Java M. Nishom; Sharfina Febbi Handayani; Dairoh Dairoh
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.905 KB) | DOI: 10.30595/juita.v9i2.9860

Abstract

Based on data from the Ministry of Health, the distribution ratio between health workers and patients in Indonesia is still not equal distributed. It influenced by the distribution of health human resources that are not in accordance with the ideal needs of health services. This results need to identify the profile of the availability of health human resources in Indonesia. In this study, an approach will be implemented to identify the profile of health human resources availability using K-Means Clustering with a combination of pillar algorithms in optimizing the selection of the initial cluster centroid. Chi-square analysis is used to determine the disparity in the needs of health human resources with the conditions of the availability of health human resources in the Central Java region. The data collection method used in this research is the observation method, while the scientific method used in this research is the K-Means Clustering method. The results showed that the application has been generated can dynamically determine the health human resource cluster based on the disparity category of health human resource availability in the Central Java region. In addition, the labeling of the Pillar K-Means cluster based on the Chi-square test has a high degree of accuracy, namely 80%.
Real-time Vehicle Surveillance System Based on Image Processing and Short Message Service Agustinus Deddy Arief Wibowo; Rudi Heriansyah
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.755 KB) | DOI: 10.30595/juita.v9i2.8728

Abstract

This paper proposes a real-time vehicle surveillance system based on image processing approach tailored with short message service. A background subtraction, color balancing, chain code based shape detection, and blob filtering are used to detect suspicious moving human around the parked vehicle. Once detected, the developed system will generate a warning notification to the owner by sending a short message to his mobile phone. The current frame of video image will also be stored and be sent to the owner e-mail for further checking and investigation. Last stored image will be displayed in a centralized monitoring website, where the status of the vehicle also can be monitored at the same time. When necessary, the stored images can be used during investigation process to assist the authority to take further legal actions.

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