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All Journal Jurnal Rekayasa elektrika Jurnal INFOTEL
Rahmad Dawood
Department of Electrical and Computer Engineering, Universitas Syiah Kuala
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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A Usability Analysis of QODE: Qurbani Web Application System Dalila Husna Yunardi; Maya Fitria; Rahmad Dawood; Teuku M. Syahril Nur Alamsyah
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.199 KB) | DOI: 10.17529/jre.v18i3.27227

Abstract

Qurbani is an Islamic ritual animal sacrifice that is carried out during Eid-Adha; one of the two major Muslim holidays. In Indonesia, every village normally has one mosque that takes charge of organizing any related Qurbani activities, from collecting money, creating slaughter schedule, to distributing the meat for the recipients. The current management of these activities is done manually and by hand, which can potentially have errors. Therefore, this research aims to develop and evaluate the usability of a web-based application that will in part take care of Qurbani-related activities. This application is designed and developed using the Scrum methodology. The application as successfully developed and its functionalities are as expected based on design. The application was then evaluated using System Usability Scale (SUS) with 10 respondents. The application obtained the average score of 91.25 which falls into A or excellent category.
A Usability Analysis of QODE: Qurbani Web Application System Dalila Husna Yunardi; Maya Fitria; Rahmad Dawood; Teuku M. Syahril Nur Alamsyah
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i3.27227

Abstract

Qurbani is an Islamic ritual animal sacrifice that is carried out during Eid-Adha; one of the two major Muslim holidays. In Indonesia, every village normally has one mosque that takes charge of organizing any related Qurbani activities, from collecting money, creating slaughter schedule, to distributing the meat for the recipients. The current management of these activities is done manually and by hand, which can potentially have errors. Therefore, this research aims to develop and evaluate the usability of a web-based application that will in part take care of Qurbani-related activities. This application is designed and developed using the Scrum methodology. The application as successfully developed and its functionalities are as expected based on design. The application was then evaluated using System Usability Scale (SUS) with 10 respondents. The application obtained the average score of 91.25 which falls into A or excellent category.
A Comparative Analysis of YOLOv5 and YOLOv8 for Watermelon Sweetness Prediction Based on Their Field-Spot Rahmad Dawood; Maya Fitria; Muhammad Hafez Al-Assad; Yudi Candra; Silvia Roza
JURNAL INFOTEL Vol 18 No 2 (2026): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i2.1319

Abstract

Despite its popularity and high demand in the market, determining the sweetness and ripeness of watermelon remains difficult. Traditionally, ripe and sweet watermelon is identified by visual inspection of its weight, tapping sound, and visual characteristics such as color and field spot, which indicate its maturity time on the vine. However, this inspection method is frequently viewed as subjective, time-consuming, and prone to error. The objective of this research is to use an object identification algorithm to classify the sweetness level of watermelon based on its field spot, leading to a more precise and consistent evaluation. The architectures used in this study were YOLOv5 and YOLOv8. Both models were developed using 333 watermelon image data, which were categorized into two categories: sweet and non-sweet. The evaluation is carried out by contrasting the performance of both models concerning the values of precision, recall, and mean absolute performance (mAP 50 and mAP 50-90). The findings indicated that the YOLOv5 outperformed the YOLOv8 in determining the sweetness level of the watermelon, with mAP 50 values of 85.3\% and 81.9\%, respectively. Moreover, in contrast to YOLOv5, YOLOv8 necessitated an extensive training period.
Co-Authors Dalila Husna Yunardi Maya Fitria Muhammad Hafez Al-Assad Silvia Roza Teuku M. Syahril Nur Alamsyah Yudi Candra