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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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Perbandingan Usability Aplikasi Transportasi Online Berdasarkan User Experience Menggunakan Metode Usability Testing Fauzi, Rahmad; Megawati; Angraini; Ahsyar, Tengku Khairil
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4169

Abstract

Transportasi online merupakan salah satu perkembangan layanan terkini. Dengan tingginya mobilitas penduduk di Indonesia membuat perusahaan transportasi online berlomba memberikan jenis layanan yang sama sehingga menimbulkan persaingan antar perusahaan transportasi online seperti Gojek dan Maxim. Para pengguna mengeluhkan bahwa peta aplikasi tidak diperbarui dan terkadang mengalami kesalahan sistem. Penelitian ini menggunakan metode usability testing sebagai pengukuran user experience. Usability Testing merupakan metode mengukur efisiensi, kemudahan dipelajari, dan kemampuan untuk mengingat bagaimana berinteraksi tanpa kesulitan atau kesalahan. Penelitian ini bertujuan untuk mengetahui perbedaan usability testing pada aplikasi Gojek & Maxim berdasarkan pengalaman pengguna. Hasil dari penelitian ini menunjukkan bahwa pada kedua aplikasi variabel Efficiency, Memorability, Satisfaction mendapatkan nilai rata-rata diatas 3,00 yang tergolong kategori tinggi, sedangkan variabel Errors aplikasi maxim memiliki perbedaan signifikan dengan nilai 2,85 kategori sedang. Secara keseluruhan terdapat perbedaan usability testing pada aplikasi Gojek dan Maxim berdasarkan pengalaman pengguna di wilayah Kota Pekanbaru.
Pengembangan Sistem Informasi Monitoring Akademik Menggunakan Metode User Centered Design dan Laravel sebagai Media Monitoring Proses Belajar Siswa M Rudi Sanjaya
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4185

Abstract

Keberhasilan siswa merupakan tanggung jawab besar dari sekolah sebagai lembaga pembelajaran formal di Indonesia. Proses pendidikan menjadi peran yang sangat penting juga bagi orang tua, selain guru dan siswa. User Centered Design digunakan sebagai metode untuk merancang, membangun dan mengembangkan Aplikasi Sistem Monitoring Sistem Informasi Akademik sehingga dapat membantu sekolah dan orang tua untuk memantau perkembangan belajar siswa. Penelitian ini juga dimaksudkan untuk mengevaluasi efisiensi dan hasil implementasi metode User Centered Design pada sistem monitoring akademik di Pesantren Miftahul Jannah. User Centered Design dipilih sebagai metode penelitian dan framework laravel dipakai untuk mendukung pengembangan sistem. Subjek penelitian adalah Pesantren miftahul Jannah. Pemrograman ini menggunakan framework laravel yang terdiri dari Model, View, Controller. Hasil Cronbach's Alpha, nilai instrumen lebih besar dari 0,70 memiliki reliabilitas yang memadai. Dalam pengujian ini, diperoleh hasil sebesar 0,798, menunjukkan bahwa aplikasi atau sistem ini dapat dimplementasikan, Dengan menghitung rata-rata didapatkan skor 70,47 yang berarti sistem diterima.
Experimental Investigation of Heat Transfer in Automotive Radiator Using CuO Nanofluids Myo, Aye Aye; Latt, Aung Ko; Swe, War War Min; Soe, Aung Kyaw
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4188

Abstract

This paper focuses on the thermal analysis of an automotive radiator within the content of an engine cooling system. The cooling system plays a crucial role in regulating the temperature of a car’s engine. One of the essential components of the car’s cooling system is the cooling fluid. An efficient cooling system is vital in preventing engine overheating and ensuring the vehicle operates at its optimal performance level. A range of different approaches can be utilized to enhance heat transfer performance. To enhance heat transfer in radiator design, increasing the number of fins is a common approach, but this method has limitations, and current technology has already maximized its effectiveness. Nanofluid has been identified as a potential candidate for the automobile sector. Compared to water and water-ethylene glycol mixtures, the heat transfer coefficient of the nanofluid is significantly higher. This thesis investigates the performance of copper oxide nanofluids when mixed with a base fluid. In this study, the outlet temperature of copper oxide nanofluid is compared with ethylene glycol coolant in an automobile radiator. The nanofluid is tested at five different volume concentrations ranging from 0.1to0.5%.
Digitalisasi Pembelajaran Budaya Sulawesi Tengah melalui Augmented Reality Menggunakan Metode Marker-Based Tracking Saleh, Muhammad Taufik; Lamasitudju, Chairunnisa Ar.; Pusadan, Yazdi; Laila, Rahmah; Pratama, Septiano Anggun
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4195

Abstract

Central Sulawesi has a diverse cultural heritage, but the rapid development of technology poses new challenges in maintaining the interest of the younger generation in local culture. This research developed a culture-learning application based on Augmented Reality (AR) using the Marker Based Tracking method for students at SDN Inpres 2 Tanamodindi to address these challenges. The application, "Mari Berbudaya," is designed to increase students' interest in local culture by providing an interactive and innovative learning experience through AR technology. This study employs a qualitative approach and prototyping method. Black box testing results confirm that all main functions of the application work well, while distance testing shows that markers can be optimally detected up to a distance of 1 meter. A questionnaire evaluation of the students resulted in an overall score of 89% with a classification of very feasible. Thus, from the overall evaluation, the "Mari Berbudaya" application has proven effective in increasing students' interest and understanding of Central Sulawesi's culture through AR technology.
Implementasi IDS dan IPS terhadap Serangan TCP Port Scanning dan ICMP Flooding Razzanda, Iqbal Maqdum; Muhammad Koprawi
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4212

Abstract

The implementation of Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) is a crucial step in maintaining network security. This research aims to test the effectiveness of IDS and IPS in detecting and preventing TCP port scanning attacks and ICMP flooding attacks and also providing real-time notifications using Telegram. The methodology used includes configuring a test environment that reflects real network scenarios, where various attacks are initiated to test the IDS and IPS responses. The experimental results show that IDS is able to detect suspicious activity with a high degree of accuracy, while IPS is effective in blocking identified attacks, thereby reducing potential damage to the system. Proper implementation of IDS and IPS can significantly improve network security by early detecting and preventing cyberattacks.
PENGEMBANGAN SISTEM DETEKSI KECELAKAAN DI JALAN RAYA MENGGUNAKAN ALGORITMA YOLOv8 DAN NOTIFIKASI OTOMATIS MELALUI TELEGRAM Alaydrus, Syarif Ahmad Hasny Al Mutsanna; Banu Santoso
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4218

Abstract

This research develops an accident detection system using supervised machine learning with YOLOv8 for object detection. The stages include data collection, labeling, model training, and system implementation with Telegram notifications. Data is taken from sample videos, converted into frame-by-frame images, and labeled with LabelImg. YOLOv8 is trained to recognize five object classes: car, accident, truck, person, and motorcycle. Implementation is done in Python with OpenCV, ultralytics, and cvzone. The system sends real-time notifications to Telegram upon an accident, achieving an average accuracy of 0.914 with notification times of 287.2ms – 334.1ms. This system aids traffic monitoring and quick response to accidents, reducing the negative impact of traffic accidents.
Penerapan Machine Learning Pada Kelapa Sawit: Analisis Bibliometrik Anggraini, Syadza; Saragih, Veny Betsy; Sutriani, Linda
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4224

Abstract

The advancement of machine learning-based technology spread widely, especially in oil palm. Oil palm has become a main source of domestic products because of its high production and a leading commodity where it cannot be separated from the use of machine learning. However, the potential of machine learning has not yet been identified specifically through bibliography aspects where those aspects are needed for future research. The main objective of this research is to analyze trends of machine learning utilization and potential topics in oil palm by using bibliometric analysis to obtain year distribution, author productivity, citation, and keyword co-occurrence. As a result, the highest peak number of publications is 2023 where the most cited authors are Haohuan Fu and Weijia Li. Then, the most used algorithms are deep learning, ANN, SVM, RF and CNN based on the occurrences while the tree detection and counting topic has the highest citation articles. The result indicates that scientific interest in the study of this research benefits as a starting point for future works.
Analisis Tingkat Kepuasan Pengguna Aplikasi TIX ID Menggunakan Metode User Experience Questionnaire (UEQ) Gebrila Permata Calista; Sanjaya, M Rudi
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4231

Abstract

Di lingkungan saat ini, penggunaan aplikasi seluler sedang meningkat dan pengalaman pengguna adalah kunci keberhasilan aplikasi. Adapun tujuan penelitian adalah untuk menganalisis tingkat kepuasan pengguna aplikasi TIX ID dengan metode User Education Questionnaire (UEQ) di lingkungan kampus Fakultas Ilmu dan Teknologi Komputer Universitas Sriwijaya. Alasan umumnya mencakup konten usang, ukuran aplikasi berlebihan, dan kualitas buruk. Tujuan penelitian untuk mengetahui tingkat kepuasan pengguna dalam menggunakan aplikasi TIX ID, pemahaman fitur aplikasi, dan kepuasan pengguna. Metode penelitian yang digunakan adalah pengukuran dengan menggunakan instrumen kepada mahasiswa Fasilkom Unsri. Analisis data pengguna aplikasi TIX ID menunjukkan bahwa meskipun aplikasi tersebut menerima ulasan positif untuk banyak fitur, masih ada ruang untuk perbaikan guna meningkatkan pengalaman pengguna secara keseluruhan. Untuk itu, guna hasil penelitian ini dapat memberikan saran yang berguna untuk meningkatkan pengalaman pengguna dan kesuksesan pada aplikasi TIX ID. Penelitian ini akan memberikan kontribusi terhadap perbaikan aplikasi TIX ID agar lebih memenuhi kebutuhan dan keinginan pengguna, serta meningkatkan kepuasan pengguna saat mengakses dan menggunakan aplikasi.
Evaluation of Scrum Implementation and Recommendation Improvement in Software Development: a Case Study of Logistic Company XYZ Tanjung, Muhammad Fadly; Purwandari, Betty; Fedinansyah, Alex; Trisnawaty, Ni Wayan
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4236

Abstract

PT XYZ provides a digital platform for the national logistics ecosystem and is connected to a global network. PT XYZ applies Agile as a project management methodology so that each team member can focus on continuous improvement and delivering value to customers. The framework used is Scrum during software development to complete work in Agile. However, there are problems during software development, such as failing to meet the targeted deliverables. This research evaluates the implementation of Scrum in PT XYZ and provides recommendations for improving the software development process using Scrum Evaluation Metrics based on Scrum Guide 2020 and Essentials Scrum. The research utilized mixed methods, combining quantitative data collection through questionnaires with qualitative methods involving interviews with Scrum Master and stakeholders, followed by a review of company documents. The result was processed using the Agile Maturity Model's Key Process Area (KPA) rating. The research shows that overall, the KPA rating value of 87.39% is interpreted as Fully Achieved. Recommendations for improvement focused on 27 recommendations for 61 practices that were not Fully Achieved, with high priority given to 15 recommendations. This evaluation and recommendation aim to improve the implementation of Scrum in PT XYZ and overcome the problem of backlog targets not being achieved in the Fulfillment squad.
Analisis Faktor yang Memengaruhi Adopsi Asisten Kecerdasan Buatan di Kalangan Pengembang Perangkat Lunak Muhammad Rizky Anditama; Achmad Nizar Hidayanto
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4239

Abstract

Software development in the era of global competition requires strategic technology management to enhance a company's competitiveness and economic performance. The main challenges in this process include project complexity, changing requirements, and time constraints, which often lead to project failures globally. In Indonesia, only 27% of information system projects are completed on budget and on time, highlighting significant issues in software development. AI assistants have emerged as an innovation with great potential to address these problems. With features such as code completion, code interpretation, and bug detection, this solution has the potential to increase software developers' productivity in the future. Given this context, this research aims to identify the factors influencing the intention to adopt AI assistants, particularly among software developers. The study was conducted using PLS-SEM and applied factors from common technology acceptance theories such as TAM and UTAUT. Data collection instruments were distributed using self-selection sampling and snowball sampling (N=165). Major factors in UTAUT such as effort expectancy, performance expectancy, facilitating conditions, and social influence were found to be significant in influencing attitudes or adoption intentions. Additionally, AI-specific factors in the context of UTAUT extension, such as AI literacy, were found to have an indirect effect on attitudes and behavioral intentions, moderated by other factors. It is hoped that the findings of this research can help stakeholders evaluate their strategies if they wish to adopt AI assistants and provide academic impact through scientific publications that can complement existing literature, expanding the understanding of AI integration in the professional IT realm.

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