Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA IJIES (International Journal of Innovation in Enterprise System)
Ariel Yonatan Alin
Unknown Affiliation
Computer Science & IT Control & Systems Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Systematic Literature Review of Trend and Characteristic Agile Model Liana Trihardianingsih; Maie Istighosah; Ariel Yonatan Alin; Muhammad Ryandy Ghonim Asgar
JURNAL TEKNIK INFORMATIKA Vol 16, No 1 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i1.28995

Abstract

Agile is a methodology and engineering approach for software development that encourages change in collaboration through tasks carried out at various stages of the software development life cycle. Scaled Agile Framework, Kanban, Scrum, Lean, Extreme Programming, Crystal, Dynamic System Development Method, and Feature Driven Development are a few of the approaches that go along with agile. Each of these approaches has distinct traits and qualities of its own. Every engineer and researcher needs to be aware of the benefits and characteristics of each method before deciding to use one. In order to assist engineers and researchers who will use one of these methods, this research will analyze it. The method used in this paper is a systematic literature review, which involved at 52 papers published in the previous eight years, from 2018 to 2022. This method is carried out by determining research questions, determining library initiation and selection, determining inclusion and exclusion criteria, and finally performing data extraction. This essay seeks to establish: (i) Study trends on each agile technique from 2018 to 2022 and (ii) Each agile method's characteristics. The results of this literature review indicate that Scrum and Extreme Programming have overtaken other agile methodologies as the most popular agile techniques over the last eight years. Through an analysis of the characteristics of each methodology, namely the development approach, suggested iteration time period, team communication, project size, project documentation, design, workflow approach, project coordinator, role assignment, coding, testing, and the nature of customer interaction, it is found that Scrum and Extreme Programming do have several advantages over other methodologies.
The Effect of Data Augmentation in Deep Learning with Drone Object Detection Ariel Yonatan Alin; Kusrini Kusrini; Kumara Ari Yuana
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 3 (2023): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.84785

Abstract

 Drone object detection is one of the main applications of image processing technology and pattern recognition using deep learning. However, the limited drone image data that can be accessed for training detection algorithms is a challenge developing drone object detection technology. Therefore, many studies have been conducted to increase the amount of drone image data using data augmentation techniques. This study aims to evaluate the effect of data augmentation on deep learning accuracy in drone object detection using the YOLOv5 algorithm. The methods used in this research include collecting drone image data, augmenting data with rotate, crop, and cutout, training the YOLOv5 algorithm with and without data augmentation, as well as testing and analyzing training results.The results of the study show that data augmentation can't improve the accuracy of the YOLOv5 algorithm in drone object detection. Evidenced by the decreasing value of precision and mAP@0.5 and the relatively constant value of recall and F-1 score. This is caused by too much augmentation, which can cause a loss of important information in the data and cause noise or distortion.
E-Farm Livestock Platform Requirements Engineering Using Loucopoulos and Karakostas Iterative Process Model Liana Trihardianingsih; Maie Istighosah; Ariel Yonatan Alin; Muhammad Ryandy Ghonim Asgar
International Journal of Innovation in Enterprise System Vol. 8 No. 1 (2024): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v8i01.206

Abstract

Global human population growth has forced farms to evolve in order to produce more livestockproducts more efficiently while also paying attention to public health, environmental sustainability,and animal welfare. However, problems arise when some diseases appear to affect farm animals andlarge companies providing livestock products dominate the market. It is necessary to develop aplatform or application that can be used to solve these two problems, especially for breeders who havefarms on a small scale. This study aims to outline the process of understanding engineeringrequirements by utilizing the Loucopoulos and Karakostas Requirements Engineering Process Modelmethod, which consists of elicitation of requirements, specification of requirements, as well asvalidation and verification of requirements. The development process is carried out by hiring breedersand potential customers to determine the priority needs of the platform. The results showed that of the25 defined functional needs, there were 22 final functional needs that were validated with valuesabove 50%. The E Farm platform should be further developed based on the defined demands since atotal of 22 validated needs have been determined to be able to represent 88% of the needs required byusers.
Co-Authors Kumara Ari Yuana Kusrini Kusrini Liana Trihardianingsih Maie Istighosah Muhammad Ryandy Ghonim Asgar