cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tri A. Sundara
Contact Email
tri.sundara@stmikindonesia.ac.id
Phone
+628116606456
Journal Mail Official
ijcs@stmikindonesia.ac.id
Editorial Address
Jalan Khatib Sulaiman Dalam 1, Padang, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
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
 62   63   64   65   66 
Analisa Pengaruh Kesiapan Karayawan Terhadap Penerimaan Modul Manajemen Pelatihan Pada PT XYZ Pandia, Vinra
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.4090

Abstract

A Learning Management System (LMS) is a critical system designed to electronically manage content, training, and employee performance. An LMS allows companies to systematically manage and evaluate training programs and provide users with easy access to training content. However, many LMS implementations fail due to a lack of attention to user readiness when adopting new technology. This study aims to analyze the influence of user readiness (self-efficacy, individual innovativeness, self-directed learning, and motivation) on the acceptance of LMS-based training modules at PT XYZ. The research uses the Technology Acceptance Model (TAM) framework and the Partial Least Square Structural Equation Modelling (PLS-SEM) method for 69 respondents. The results show that self-efficacy, self-directed learning, and motivation significantly affect the perceived ease of use of the training modules. Meanwhile, motivation significantly affects the perceived benefits of the training modules. The research findings are expected to help plan to improve employee readiness before LMS implementation to promote the acceptance and success of technology-based training systems.
Enhancing Security in Modern Transposition Ciphers Through Algorithmic Innovations and Advanced Cryptanalysis Armah, Albert; Asare, Samuel; Abrefah-Mensah, Eric
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.4095

Abstract

Abstract Columnar transposition ciphers have various vulnerabilities and limitations that render them vulnerable to modern cryptographic threats and advanced cryptanalysis techniques. It is imperative to strengthen the security of these ciphers through algorithmic developments and a greater understanding of their vulnerabilities as the need for secure communication increases. A systematic search will be conducted to find peer-reviewed journal articles on columnar transposition ciphers, including variations, weaknesses, and security enhancements. The structured data analysis approach will focus on key elements such as known cipher variants, vulnerabilities, new algorithms, proposed improvements, and evaluation metrics. The review will provide a comprehensive overview of the existing variants of columnar transposition ciphers, including the classical columnar transposition cipher, double columnar transposition cipher, mutable columnar transposition cipher, route transposition cipher. It will critically analyze the vulnerabilities and limitations of these variants, such as limited key space, patterns and periodicities, lack of diffusion, and susceptibility to known-plaintext attacks and statistical analysis. Additionally, the review will explore modern cryptographic threats and advanced cryptanalysis techniques, including machine learning, brute force attack, differential cryptanalysis, and chosen plaint-text attack etc. New algorithmic advancements will be developed to enhance the security of columnar transposition ciphers. These advancements involve dynamic key generation, column permutation, integration with other cryptographic primitives, and key scheduling algorithms. Additionally, an enhanced version of the columnar transposition cipher algorithm will be detailed, covering its mathematical basis, theoretical structure, and anticipated security upgrades. The effectiveness of the improved algorithm will be assessed in various attack scenarios and threat models, emphasizing security, computational, and performance aspects. The research will enhance the security of columnar transposition ciphers through algorithmic innovation and advanced cryptanalysis. It will identify gaps in existing techniques, recommend future research directions, and highlight potential applications. The findings will have significant implications for cryptography, addressing the need for secure communication.
Rancang Bangun IoT Based Monitoring System pada Multi Conveyor Untuk Perpindahan Benda Erdani, Yuliadi; Maulana , Gun Gun; Farhan, Abiyyu
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.4098

Abstract

Multi-conveyor systems are prone to transfer point failures that disrupt transportation routes and create production bottlenecks. Continuous monitoring and supervision are required, but manual methods are time-consuming, costly, and cause delays. Integrating IoT with belt conveyors enables mobile app-based monitoring, allowing real-time access to sensor information, continuous monitoring, and immediate error correction. This study aims to design and implement an IoT-based monitoring system to detect jams and overturned objects on multi-conveyors transferring objects at 90-degree angles. Using the VDI2206 methodology, the study ensures precise product definition and accurate estimates in all design phases. The system minimizes transfer distances between conveyors, employs precise sensors, and uses control algorithms for ongoing transfer process monitoring. An intuitive user interface allows real-time sensor data and animation monitoring. Two ESP32 microcontrollers coordinate sensor functions and data communication, achieving an average response time of 449.508 ms. This efficient system improves industrial conveyor monitoring, reducing manual monitoring time and costs.
Implementation of Cloud Native Architecture in PT XYZ's Accounting System Tri Saputro, Tedy; Fathoni Aji, Rizal
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.v13i4.4099

Abstract

Microservices are commonly used as an architectural style in SaaS applications. Compared to monolithic architectures, they offer various advantages, such as fault tolerance mechanisms, scalability, and ease of customization. However, microservice architectures cannot stand alone. This is because microservices are based on distributed services and data isolation, and such systems will rely heavily on supporting infrastructure, Therefore, a cloud-native architecture is necessary, taking a philosophical approach to building applications that can fully leverage the cloud-native application model, with the microservice architecture style as one of the key components. This study delves into the integration of cloud-native architecture into the accounting system application of PT XYZ, an IT company specializing in consulting and software integration. The researcher examined the five elements of cloud-native architecture, evaluated them using the twelve-factor app, and identified areas for improvement for PT XYZ
Klasifikasi Emosi Terhadap Konflik Israel-Palestina Menggunakan Algoritma Gated Recurrent Unit Saputra, Eko Ikhwan; Fatdha, T.Sy. Eiva; Agustin; Junadhi; M. Khairul Anam
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.v13i4.4106

Abstract

The Israel-Palestine conflict intensified following the October 7, 2023, attack by Hamas on Israel, triggering various emotional reactions on social media. Emotion classification is crucial for understanding public sentiment related to this conflict. This study utilizes 9,917 tweets from platform X (Twitter) to classify emotions such as joy, sadness, anger, fear, disgust, and surprise. The deep learning algorithm used is Gated Recurrent Unit (GRU), developed with three different training and testing data splits: 70:30, 80:20, and 90:10. For text representation, Global Vector (GloVe) word embedding is employed. Given the imbalanced dataset, this study applies the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. The research results indicate that the GRU model with a 90:10 data split without using SMOTE achieves the highest accuracy of 75%, followed by the models with 70:30 and 80:20 splits, which each have an accuracy of 73%.
IMPLEMENTASI KURIKULUM MERDEKA PROGRAM MAGANG BERSERTIFIKAT DI ERA DIGITAL PADA DEPARTEMEN TATA RIAS DAN KECANTIKAN FAKULTAS PARIWISATA DAN PERHOTELAN UNIVERSITAS NEGERI PADANG Murni, Astuti
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.v13i4.4108

Abstract

The Independent Learning Curriculum is a curriculum that is here to answer the challenges of education in this digital era. Highly educated people are needed to face rapid technological changes in this digital era. In order to prepare highly educated people, universities as educational institutions need to take steps to collaborate with the industrial world in implementing the independent learning curriculum. This research aims to provide an explanation of the collaboration between universities, especially the Department of Cosmetology and Beauty and the beauty industry in implementing the independent learning curriculum. The results of this research are that collaboration between universities and industry can be carried out in the form of joint curriculum preparation, internships and joint research. The benefit of research for society is that it provides insight into the importance of collaboration between universities and industry in order to prepare superior people who are ready for developments in the digital era.
A Review on Coupled Inductor-Based High Step-Up DC-DC Converters for Renewable Energy Sources Taha, Harwan M.; Ameen, Yasir M.Y.; Sadiq, Emad Hussen; Faqishafyee, Nizar Jabar
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.4109

Abstract

Renewable energy sources are increasingly being embraced due to their environmental advantages, characterized by clean energy production, including solar energy, fuel cells, and wind turbines. High step-up DC-DC converters are commonly employed in conjunction with these sources to elevate their unregulated output voltage to a high and regulated level. This is especially true for converters based on coupled inductors, which are able to achieve high voltage with a low duty cycle. This paper provides a comprehensive review on the coupled inductor-based high step-up DC-DC converters. This review involves five widely used topologies, namely stacked converters, cascaded converters, multi-winding converters, interleaved converters, and integrated converters. It is evident that the researchers proposing these converters aim to enhance the overall efficiency of the renewable energy system by achieving a high voltage gain with a low duty cycle, thereby reducing conduction losses, mitigating stress on switches, alleviating voltage spikes across the main switches, and recycling the leakage energy. However, it is noteworthy that some of the proposed circuit designs are complex and involve a high number of components resulting in increase in cost and size of packaging. Additionally, some proposed circuits could not effectively achieve the aforementioned objectives. This paper serves as a valuable resource for researchers, offering an overview of the latest developments in the high step-up converters based on coupled inductor, which may help them to identify potential research gaps.
Voice Recognition Based on Machine Learning Classification Algorithms: A Review Sarbast, Hajin
The Indonesian Journal of Computer Science Vol. 13 No. 3 (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.v13i3.4110

Abstract

One essential component of biometric identity is voice recognition technology, which uses speech pattern analysis to authenticate people. With an emphasis on machine learning classification techniques, this review article thoroughly examines the field of speech recognition. We examine the effectiveness of random forest (RF), multilayer perceptrons (MLP), k-nearest neighbours (KNN), and support vector machine (SVM) classifiers via painstaking analysis and empirical evaluation. Utilizing a collection of Sepedi speech audio files, our results demonstrate the remarkable accuracy of 99.86% that RF is capable of producing. Aside from visual aids for better understanding, assessment indicators like as accuracy, precision, recall, F-measure, and root mean square error (RMSE) clarify the effectiveness of the model. The research highlights how machine learning algorithms, especially reinforcement learning (RF), have the capacity to revolutionize speech recognition technology in a variety of contexts.
Agile Readiness Assessment of IT Audit Function at Indonesia’s State-Owned Bank Dedi Kurniawan; Raharjo, Teguh; Nur Fitriani, Anita
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.v13i4.4111

Abstract

Recently, there has been increased interest in using Agile methodologies in auditing to improve efficiency and adaptability. This study examines whether Bank XYZ in Indonesia is ready to adopt Agile for IT auditing, marking a first for the country's banks. The need for Agile is driven by a significant reduction in audit staff, increased demands from management, and higher fraud risks, all of which call for a more effective and responsive audit process. The research employed both surveys based on the CA Agile Framework and qualitative analysis. It found that Bank XYZ is moderately ready to adopt Agile, showing strengths in commitment to user research, organizational culture, and training support. However, challenges such as utilizing past Agile experiences and enhancing governance must be addressed. The study recommends a gradual adoption of Agile, focusing on building a supportive Agile culture, enhancing training for auditors, and improving governance structures. This step-by-step approach will help Bank XYZ effectively integrate Agile into its IT auditing practices to better meet management's expectations for more business-focused auditing.
PENERAPAN FUZZY LOGIC DALAM SISTEM PEMANTAUAN VITAL SIGN BERBASIS INTERNET OF THINGS Rahmatulloh, Muhammad Rafy; Indroasyoko, Narwikant; Khoirunnisa, Hilda
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.v13i4.4112

Abstract

The development of the Internet of Things (IoT) has brought innovations in healthcare, especially in vital sign monitoring, crucial for detecting physiological changes and supporting disease diagnosis. Outpatient vital sign monitoring is often neglected due to time and equipment constraints. Previous research, such as using Bluetooth technology, showed range limitations, while other solutions couldn't classify patient conditions. This study develops an IoT-based vital sign monitoring device with four parameters: blood pressure, body temperature, heart rate, and oxygen saturation, accessible online. The device uses fuzzy logic to classify patient status. Test results show accuracy rates of 96.4% and 91.3% for blood pressure, 98% for heart rate, 98% for oxygen saturation, and 98% for body temperature readings. Patient classification tests showed 9 out of 10 samples had the same risk output as the NEWS assessment.

Page 64 of 113 | Total Record : 1127

 62   63   64   65   66 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 15 No. 1 (2026): The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 4 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS) Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science More Issue