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All Journal TEKNIK INFORMATIKA Edu Komputika Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Informatika Pertanian JTERA (Jurnal Teknologi Rekayasa) InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) MEANS (Media Informasi Analisa dan Sistem) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Pengabdian kepada Masyarakat Nusantara Operations Research: International Conference Series Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Tsaqofah: Jurnal Penelitian Guru Indonesia ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Jurnal Karya Abdi Masyarakat JUPADAI : Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL Jurnal Informatika Polinema (JIP) Jurnal Pendidikan Teknologi Informasi (JUKANTI) Journal of Software Engineering and Multimedia (JASMED)
Wahyu Andi Saputra
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal INFOTEL

 1 
Requirements Engineering of Village Innovation Application Using Goal-Oriented Requirements Engineering (GORE) Condro Kartiko; Ariq Cahya Wardhana; Wahyu Andi Saputra
JURNAL INFOTEL Vol 13 No 2 (2021): May 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i2.602

Abstract

The delay in the absorption of village funds from the central government to the village government is due to the village government's difficulty preparing village development innovation programs. The innovation tradition will grow if the cycle of transformation of knowledge and acceptable practices from one village to another, especially villages with similar conditions and problems, can run smoothly. For the process of exchanging knowledge and experiences between villages to run smoothly, it is necessary to codify best practices in a structured, documented, and disseminated manner. This research aims to design an application that functions as a medium for sharing knowledge about the use of village funds through government innovation narratives. The application is expected to become a reference for villages to carry out innovative practices by conducting replication studies and replicating acceptable practices that other villages have done. Therefore, it is necessary to have a system requirements elicitation method that can explore the village's requirements in sharing knowledge so that the resulting system is of high quality and by the objectives of being developed. There are several Goal-Oriented Requirements Engineering (GORE) methods used, such as Knowledge Acquisition in Automated Specification (KAOS) and requirements engineering based on business processes. In this research, the KAOS method was demonstrated as the elicitation activity of a village innovation system. Then the results were stated in the Goal Tree Model (GTM). Model building begins with discussions with the manager of the village innovation program to produce goals. The goals are then broken down into several sub-goals using the KAOS method. The KAOS method is used for the requirements elicitation process resulting in functional and non-functional requirements. This research is the elicitation of the requirement for the village innovation system so that it can demonstrate the initial steps in determining the requirements of the village innovation system before carrying out the design process and the system creation process. The results of this requirement elicitation can be used further in the software engineering process to produce quality and appropriate village innovation applications.
Rupiah Banknotes Detection Comparison of The Faster R-CNN Algorithm and YOLOv5 Muhammad Zuhdi Hanif; Wahyu Andi Saputra; Yit Hong Choo; Andi Prademon Yunus
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1189

Abstract

Money is an essential part of human life. Humans are never separated from activities related to money. As time goes by, money is not only a means of transactions between humans but also between humans and machines. Machines can recognize money in various ways, including object detection. Object detection is one of the most popular branches of computer vision. There are many methods for carrying out object detection, such as Faster R-CNN and YOLO. Faster R-CNN has been widely used in various fields to perform object detection tasks. Faster R-CNN has advantages over its predecessor because it uses a Region Proposal Network (RPN) as a substitute for selective search, which requires less compilation time. YOLO (You Only Look Once) is the most frequently used object detection method. This method divides the image into grids; each part of the grid predicts objects and their probabilities. The main advantages of YOLO are its high speed and ability to recognize objects in various conditions and positions with reasonably high accuracy. This research compares the Faster R-CNN algorithm model using the ResNet-50 architecture with YOLOv5 to recognize rupiah banknotes. The dataset used is 1120 images consisting of 8 classes. The YOLOv5 model trained on RGB data had the best results, with calculation accuracy reaching 1. Test results on three images also showed suitable results. The hope is that this research can be applied in other research to build a system for recognizing rupiah banknotes.
Co-Authors Abednego Dwi Septiadi Agi Prasetiadi Agung Wicaksono Andi Prademon Yunus Apri Junaidi Arief Rais Bahtiar Arif Amrulloh Ariq Cahya Wardhana Asyhar Nurrochman Atika Ratna Dewi Brawijaya, Brawijaya Cepi Ramdani Choo, Yit Hong Condro Kartiko Dany Candra Febrianto Eko Sanjaya Febriani, Atik Gustalika, Muhammad Azrino Hafidz Daffa Hekmatyar Hari Widi Utomo Hilmi, Nizar Huda, Farhat Ilham Fauzi Ipam Fuaddina Adam Johanes Christianto Tiku Khurun Ain Muzaqi Leksono, M. Lukman Lumban Batu, Benedict Evan Lumban Batu Mohtar Khoiruddin Muhamad Azrino Gustalika Muhammad Zidny Naf'an Muhammad Zuhdi Hanif Mulyawan Safwandy Nugraha Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Nursetyo Reginanda, Ezekiel Pradipta Pane, Sayyid Yakan Khomsi Purnama Sukardi Ratih Windu Arini Reynaldi Rio Saputro Rifki Adhitama, Rifki Riyatno Riyatno Sa’adah, Aminatus Sidanti, Risang Windu Surya Adi Widiarto Tio Fani Trihastuti Yuniati Usada, Elisa Wibawa, Panca Widargo, Yulio Aldi Widodo, Hermawa Setyo Wisnu Wardana, Mohammad Adiyudha Yasykur, Muhammad Fauzan Yit Hong Choo Yit Hong Choo Zaenury , Zaenury Dhany Wibowo Zaenury Dhany Wibowo