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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 1,170 Documents
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Transformasi Karier Melalui Perancangan Sistem Informasi Bursa Kerja Pada SMKN 2 Padang Panjang Efmi, Efmi Maiyana; Giatman; Nurhasan Syah; Supratman Zakir
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4086

Abstract

Career transformation is becoming increasingly important in this digital era, especially in educational institutions such as Vocational High Schools (SMK). There are still many graduates who have not obtained employment opportunities at SMKN 2 Padang Panjang, which is the main reason for the school to establish a Job Exchange information system. An efficient and integrated labour market information system can help alumni find various career opportunities, understand what the labour market needs, and make better career plans. This study looks at ways to improve the availability of job information, increase alumni engagement in job search, and strengthen links between SMK and industry. This study provides practical guidance for SMKs to adopt and implement an effective job fair information system, using the Research and Development (Rnd) method, so that they can make a real contribution in mentoring alumni. This guidance is provided using an appropriate system design approach.
KLASFIKASI SENTIMEN APLIKASI X TERHADAP GUGATAN PEMILU 2024 MENGGUNAKAN NAÏVE BAYES DAN TEXTBLOB Suharyani Azisa, Nur'Ainun
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4087

Abstract

This study analyzes public sentiment towards the 2024 Election Results Dispute at the Constitutional Court through the X (Twitter) application using the Naïve Bayes and TextBlob methods. The dataset was collected through crawling and preprocessing to remove duplicate data, clean, and normalize the tweets. Labeling was done using TextBlob, followed by sentiment classification using the Naïve Bayes algorithm. The results show that out of 898 tweets analyzed, the TextBlob labeling identified 340 positive tweets, 427 neutral tweets, and 131 negative tweets. Meanwhile, the Naïve Bayes classification resulted in 515 positive tweets, 281 neutral tweets, and 102 negative tweets, demonstrating high accuracy with 95.29%. Data visualization through word clouds and bar charts helped map the sentiment distribution clearly. These findings provide valuable insights into public opinion on the election results dispute, with the majority of sentiments being positive and neutral.
Pengembangan Sistem Informasi Sekolah Berbasis Website Dengan Pengujian Website Vulnerability dan Acceptance Testing Firdaus, Falih Rizqullah
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4088

Abstract

SMA Negeri 1 Lirik terletak di Kecamatan Lirik, Kabupaten Indragiri Hulu, Riau, dan merupakan salah satu lembaga pendidikan tingkat Sekolah Menengah Atas. Sekolah ini dikenal memiliki berbagai pencapaian baik dalam bidang akademik maupun non-akademik, seperti program Tahfidz, musik, dan paskibra. Namun, untuk saat ini SMA Negeri 1 Lirik belum memiliki situs website untuk dipublikasikan karena tidak ada pemeliharaan situs website pada sekolah ini. Oleh karena itu, sistem informasi sekolah dibuat untuk memungkinkan setiap siswa mengakses situs website dengan mudah. Sistem yang akan dibangun menggunakan metode waterfall. PHP digunakan sebagai bahasa pemrograman, MySQL sebagai database, dan Framework codeigniter sebagai software pendukung. Penelitian ini bertujuan untuk dapat membantu SMA Negeri 1 Lirik dalam menyebarkan informasi positif kepada masyarakat dan memudahkan siswa, guru, dan warga sekolah dalam mengakses informasi terkait sekolah. Berdasarkan hasil pengujian sistem informasi sekolah berbasis website yang menggunakan metode Website Vulnerability Testing memiliki 2 peringatan tingkat sedang dan 2 peringatan informasi. Sedangkan Acceptance Testing pada pengujian Blackbox menunjukkan bahwa sistem informasi beroperasi dengan semestinya dan pengujian System Usability Scale (SUS) yang diperoleh dari kuisioner mendapatkan skor sebesar 71,583. Kesimpulan berdasaran hasil pengujian, bahwa sistem informasi berbasis website ini berfungsi dengan baik dan diterima oleh sekolah.
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
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
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
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
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
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
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
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.

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