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All Journal Petir Jurnal E-Komtek JURPIKAT (Jurnal Pengabdian Kepada Masyarakat)
Mochamad Farid Rifai
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Journal : Jurnal E-Komtek

 1 
The Implementation of the CNN Method on Smart Image Recognition and Identification of Heritage (SIRIH) of Sundanese Traditional Tools Jatnika, Hendra; Yudhi Setyo Purwanto; Mochamad Farid Rifai
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 7 No 2 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v7i2.1375

Abstract

Sundanese is a regional language in West Java. Young people rarely use local languages, so they need to be preserved by using technology. Image processing technology can help the process of strengthening the Sundanese language and culture. Researchers developed Sundanese traditional tools because their existence is not only related to Sundanese language and terms, but also related to philosophy and local wisdom values. This application is called Smart Image Recognition and Identification of Heritage (SIRIH). The development of this android-based innovative application is based on image recognition technology with the CNN method. Based on the test results, the classification accuracy of pre-trained CNN is 98%, and val accuracy at 86%. Accuracy test results on the application show good and maximum results (90%-100%) if the item is in sufficient light, both indoors and outdoors, while dim light will reduce accuracy to around 60%-70%. Blurred images also affect accuracy by up to 50%.
The Implementation of Virtual Reality (VR) of Laboratories for Campus Marketing and Promotion Luqman Umar; Hendra Jatnika; Mochamad Farid Rifai; Karina Djunaidi; Yasni Djamain; Andi Dahroni; Yudhi S. Purwanto; Afief Fadlan Yudri; Indah Wulandari
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1699

Abstract

ITPLN's promotional target range extends to the entirety of Indonesia. At present, campus admissions only focus on 35 out of the 38 provinces, with a limited number of students from the remote and outlying areas. Several promotional techniques have been implemented, yielding satisfactory results; however, there is room for improvement. To enhance its efforts, ITPLN utilizes VR technology to showcase campus facilities through virtual media. The Virtual Reality laboratory at ITPLN offers virtual tours that introduce various laboratories in all faculties. These tours serve two important purposes: supporting lectures in the laboratory and promoting the campus. The integration of laboratory introductions as a promotional tool is deemed appropriate for several reasons, including wider coverage, more comprehensive information, and an immersive and interactive experience. Consequently, prospective ITPLN students no longer need to physically visit the campus to gain a comprehensive understanding of the laboratory and campus in general. The development of VR facilities followed the Multimedia Development Life Cycle (MDLC) method, and thorough testing was conducted to refine the existing VR resources. The outcome of this process is nine laboratory tours that highlight VR-based practical and research facilities, which can further enhance web-based learning and campus promotion.
Implementation of Spiral Modeling in the Design and Construction of the Paperless Office System for ITCC ITPLN Activity Documents Mochamad Farid Rifai; Jatnika, Hendra; M. Yoga Distra Sudirman; Afifah Nurlita Octaviasari; Rizka Putri Aulia Rusdi; Fakhri Faros; M. Rafif Soniansyah
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 4 No 2 (2020)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v4i2.2327

Abstract

The Information Technology Certification Center (ITCC) currently uses a manual system for creating financial accountability reports. This process is time-consuming and often leads to errors. Furthermore, because the necessary data is not centralized, data loss is a frequent problem, hindering the creation of accurate reports. To address these issues, the author developed "lpjkita," an application designed to streamline and improve the financial reporting process. The development employed the spiral model, which integrates risk management with iterative development and prototyping, while incorporating the structured approach of the waterfall model. This methodology allows for rapid development and gradual software improvement. The resulting application, "lpjkita," enables faster creation of financial accountability reports at ITCC, minimizes errors, and improves data recording. In addition to these benefits, the application also contributes to environmental sustainability by reducing paper consumption at ITCC, thereby mitigating the impact of global warming.
Application of Random Forest Classification Method in Determining the Best Quality Service in the Implementation of International Certification at ITCC ITPLN Hendra Jatnika; Luqman Luqman; Mochamad Farid Rifai; Nasya Miranda Umar
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2349

Abstract

Information Technology Certification Center or also known as ITCC is one of the work units owned by the Institute Technology of PLN which is a unit that organizes training and international certification. In order to improve the quality of service from the activities that have been organized by ITCC, the ITCC committee always prepares a link for participants to write feedback which will later become material for evaluation by ITCC. In this study, 2,720 data were used which were divided into 2 categories, namely 1,884 data with positive sentiment categories and 836 data with negative sentiment categories. The data is processed using the Random Forest method in order to find out the optimality of knowing the method. The final result obtained from the application of the Random Forest classification method is an accuracy percentage of 88.97% with a precision value of 0.92, recall of 0.91, and f1 score of 0.92
Co-Authors Afief Fadlan Yudri Afifah Nurlita Octaviasari Dahroni, Andi Dewi Arianti Wulandari Dimas Arditya Pinandhito Djunaidi, Karina Fakhri Faros Hendra Jatnika Herman Bedi Agtriadi, Herman Bedi INDAH WULANDARI Luqman Luqman Luqman Umar M. Rafif Soniansyah M. Yoga Distra Sudirman Nasya Miranda Umar Rizka Putri Aulia Rusdi Rizqia Cahyaningtyas Yasni Djamain Yessy Fitriani Yudhi S. Purwanto Yudhi Setyo Purwanto