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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,127 Documents
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Evaluation of Maturity Levels and Recommendations for Improvements to the Implementation of the Scrum Method : Case Study: SSM Transport and SSM QC Teams in Indonesia National Single Window Agency Ihsan Lutfi; Achmad Nizar Hidayanto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4526

Abstract

        This study examines the implementation of Scrum within LNSW’s national program, SINSW, focusing on two key projects, SSM QC and SSM Pengangkut. Despite adopting Scrum, deviations from its principles, such as unclear sprint end-dates, have hindered timely development. Using the Scrum Maturity Model (SMM), this research evaluates Scrum maturity through mixed methods, including KPA ratings and qualitative insights from observations, interviews, and document analysis. Results indicate both teams are at Maturity Level 1 (Initial), with SSM QC scoring 71.12% and SSM Pengangkut 64.7%, classified as Largely Achieved. Recommendations for advancing to Level 2 include defining clear sprint timelines, enhancing project management, quantitative metrics, team capabilities, and stakeholder involvement. Grounded in the Scrum Guide 2020 and SBOK V4, these strategies aim to refine Scrum practices, fostering more efficient project development at LNSW.  
Assessment of Urban Flood Problems in Mandalay Ingyin Mar, Tint; Aye, Nilar
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4529

Abstract

Urban flooding poses significant challenges to Mandalay, exacerbated by rapid urbanization and inadequate drainage infrastructure. This study assesses urban flood problems in three basins such as Shwe Kyin, Thin Ga Zar, and Pa Yan Taw using the Storm Water Management Model (SWMM) under return periods of 10, 30, and 50 years. The required parameters, including rainfall patterns, land use, hydrologic soil group and drainage network characteristics, were used to simulate runoff and flood dynamics. After simulation, the maximum flood depths were evaluated for the three basins at specific time intervals. The results indicated that the maximum flood depth was observed as 0.1 m for Shwe Kyin Basin, 0.5 m for Thin Ga Zar Basin, and 0.6 m for Pa Yan Taw Basin, respectively. These findings emphasized a valuable reference for urban planning and disaster management strategies.
Faktor Keamanan Informasi dan Strategi Implementasi dalam Meningkatkan Adopsi E-Government di Sektor Publik Negara Berkembang: Tinjauan Literatur Febrianty, Devi; Hilman, Muhammad; Yazid, Setiadi
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4531

Abstract

The development of e-government is increasingly prioritized in developing countries as part of digital transformation efforts to improve the quality of public services. However, challenges such as low adoption rates, public trust issues, and weak information security persist. This research aims to comprehensively identify information security factors influencing e-government adoption in developing countries and propose implementation strategies. The approach used is a combination of systematic literature review and snowballing technique. We categorized security factors using the Technology, Organization, and Environment (TOE) framework to aid analysis and strategy formulation. Findings show that non-technical factors, particularly organizational and environmental aspects (41% each), dominate over technical factors (18%). These results highlight the importance of strengthening security policies, risk management, and data protection regulations by the government, as well as efforts to improve public perception of information security. This research provides theoretical contributions through a TOE-based framework and practical strategies to increase e-government adoption.
Analisis Kepuasan Pengguna Pada Aplikasi Tokopedia Menggunakan Metode User Experience Questionnaire (UEQ) Anne Trimaysella; M. Rudi Sanjaya; Ibrahim, Ali
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4532

Abstract

Tokopedia is an official application that was launched to the public on August 17 2009 under the auspices of PT. Tokopedia was founded on February 6 2009 by Wiliam Tanuwijaya and Leontinus Alpha Edition. Tokopedia is a platform that makes online shopping easy by offering a variety of products ranging from fashion, electronics, basic necessities and other daily necessities. However, judging from recent PlayStore and AppStore reviews, the Tokopedia application has received many negative reviews from users regarding the new features provided, one of which is the voucher and promo feature which cannot be used and other features. Therefore, evaluating the user experience while using this application is necessary. So user satisfaction analysis can be carried out using the User Experience Questionnaire (UEQ) approach to determine the level of satisfaction of Tokopedia mobile users. Therefore, the purpose of this research is to help conclude the information system regarding the Tokopedia application to improve experience and determine user satisfaction in carrying out further development and evaluation.
Eksplorasi Kesadaran dan Faktor Budaya Keamanan Terhadap Keamanan Informasi Dinas Komunikasi dan Informatika Kabupaten XYZ Michael Parlindungan
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4536

Abstract

The role of information technology in the government sector is to organize an efficient, accountable, and transparent electronic government system. The human aspect is the weakest and plays the most important role in maintaining information security. The XYZ District and Communication Agency is important in organizing regional government, including information system management and information security. This study measured the level of information security awareness of 86 employees at the XYZ District Kominfo Agency using a questionnaire based on the HAIS-Q method and aspects of information security culture. The results showed that the level of employee security awareness was at the "average" level. The areas of password management, email, and internet use showed a "poor" level of awareness, and the use of social media, mobile devices, information handling, and incident reporting was at the "average" level. The security culture aspect also influenced the level of employee security awareness which was at the "average" level. Based on the results, recommendations for increasing awareness are needed, such as the creation of information security policies and guidelines, and the implementation of information security awareness programs.
A Analisis Perbandingan Kinerja Metode Ensemble Bagging dan Boosting pada Klasifikasi Bantuan Subsidi Listrik di Kabupaten/Kota Bogor Cintari, Nanda Putri; Alifviansyah, Kevin; Tsabitah, Dhiya Ulayya; Sartono, Bagus; Firdawanti, Aulia Rizki
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4537

Abstract

The classification of electricity subsidy recipients is an crucial step to ensure that the government's social assistance program is distributed in a targeted manner, so an appropriate analysis method is needed. This research compares the Bagging and Boosting ensemble methods for the classification of households receiving electricity subsidies in Bogor Regency and City using Susenas 2023 data totaling 2002 households. The bagging method uses Random Forest and Extra Trees, while boosting includes CatBoost and LightGBM. The results showed that the Extra Trees method of bagging provided the best performance with 91% accuracy, 95% F1score, and 97% sensitivity. Factors such as ownership of electronic goods and modern facilities, such as ownership of air conditioners, laptops, and televisions are the most significant variables in influencing the classification of electricity subsidy recipients. With high accuracy and minimal bias, this model effectively supports data-driven policies for electricity subsidy distribution. This research is expected to be a strategic recommendation for the government to improve the effectiveness of the electricity subsidy program to be more efficient, well-targeted, and support the improvement of people's welfare.
Fire and Smoke Detection with 3D Position Estimation Using YOLO Dinata, Yuwono; Anthony, Bryan; Sutanto, Richard
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4541

Abstract

Fire and smoke detection systems are essential for safety, but traditional methods often face issues like false alarms and poor localization accuracy. This study integrates advanced object detection models, a confidence-based voting mechanism, and 3D localization to address these challenges. Using three cameras, the system detects fire or smoke and estimates its 3D position (x, y, z) through bounding box depth estimation and camera placement. A voting mechanism enhances reliability by requiring validation from at least two cameras with a confidence threshold of 0.5. YOLOv5s achieved 92% accuracy, 96% precision, 95% recall, mAP50 of 98%, and 87.02 FPS, making it suitable for real-time use. YOLOFM-NADH+C3 offered comparable accuracy (92%) but better localization precision with a 0.22 cm error versus YOLOv5s’ 1.53 cm, albeit at a slower FPS (54.82). Experiments confirm the system’s ability to reduce false positives and localize fire/smoke accurately under challenging conditions.
Autism Detection based on Deep Learning Walujo, Ivana Yudith; Iwan Syarif; Arna Fariza
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4552

Abstract

Autism Spectrum Disorder (ASD) is a complex developmental condition that affects communication and behavior, with prevalence rates increasing significantly in recent years [1]. According to recent research, early detection remains a challenge but is essential for effective intervention. This study leverages deep learning, specifically the ResNet 34 model, to analyze facial features in children, facilitating early detection of ASD. Using cross-validation to ensure robust model performance, the approach achieved an accuracy rate of 87% with ResNet 34 and 86% with cross-validation. This study contributes to the field by offering a non-invasive diagnostic aid that can help healthcare providers recognize ASD traits through facial analysis. The findings highlight the potential of deep learning in advancing ASD detection, with future work aimed at expanding the dataset and improving model precision.
Penerapan Metode PIECES untuk Menentukan Analisis Tingkat Kepuasan Pengguna pada Aplikasi Traveloka Mufidah, Luthfiyyah; Sanjaya, M Rudi; Kurniawan, Dedy; Putra, Apriansyah
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4557

Abstract

This study evaluates the user satisfaction of the Traveloka application using the PIECES framework, which includes Performance, Information, Economy, Control, Efficiency, and Service. The population and sample of the study were Traveloka application users totaling 202 respondents. Data was collected through linear regression analysis and One-way ANOVA to examine the impact of these factors on user experience. The analysis showed highly significant p values (p < 0.001) for all independent variables, indicating that each PIECES category has a significant influence on user satisfaction. In particular, Efficiency_Index showed the strongest influence with a coefficient of 0.521 (p = 0.000), followed by Control_Index and Info_Index with coefficients of 0.251 (p = 0.002) and 0.249 (p = 0.001) respectively. The regression model explained 66.1% of the variance in Satisfaction_User_Index (R² = 0.661), which confirms the reliability of the model. These findings provide valuable insights for Traveloka to identify service strengths and weaknesses and recommend strategic improvements to enhance user experience.
Factors Influencing the Usage of Twitter During Presidential Elections in Nigeria: Determinants of Usage of Twitter During Presidential Elections in Nigeria Kolawole, Kayode David; Oyasor, Emmanuel
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4580

Abstract

This study examined the factors influencing the usage of Twitter during presidential elections in Nigeria. The population of the study comprises those under the age of voting in Nigeria that has Twitter account in Nigeria. Creswell (2012) sampling technique was used to select 576 respondents in Nigeria who have twitter account and are in voting age. Data was obtained through questionnaire administration. Structural Equation Modelling method of multiple regression analysis were used to achieve the objectives of the study. Results of the regression analysis revealed that factors (such as compatibility, cost effectiveness, interactivity, trust, ease of use and networking capability) are significant determinant of usage of Twitter during presidential elections in Nigeria at 1% and 5% level of significance. The study concluded that there are factors influencing the usage of twitter during presidential elections in Nigeria. Therefore, it is advised that politicians should always seek for information through social media that might improve their interactions with various populace. Therefore, social media adoption becomes essential due to its multifaceted and symmetrical nature.

Page 85 of 113 | Total Record : 1127

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