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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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Perancangan Desain UI/UX Aplikasi Slow Living dengan Design Thinking Rafansya, Muhammad Ramadzikri; Suranto, Beni
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.v13i5.4419

Abstract

In today’s fast-paced urban environments, stress and mental fatigue are increasingly prevalent due to demanding routines and high productivity expectations. In response, the concept of slow living has gained traction as an alternative lifestyle, promoting mindfulness, balance, and well-being—especially following the COVID-19 pandemic, which heightened the need for mental and physical health prioritization. This study presents the design and development of a UI and UX for a slow living mobile application, employing the Design Thinking framework, which includes five iterative stages: empathize, define, ideate, prototype, and test. This user-centered approach aligns with the slow living philosophy by prioritizing simplicity, ease of use, and aesthetic appeal. The application aims to assist individuals in achieving equilibrium amidst in a fast-paced lifestyle. Evaluation of the app yielded a high System Usability Scale (SUS) score of 90.83, demonstrating strong user acceptance and confirming that the experience resonates with the principles of slow living.
Pemodelan Integrasi Data Barang Milik Negara di Perguruan Tinggi Menggunakan Metode ETL (Extract, Transform, Load) dengan Pentaho Purwita Sari; Lucky Indra Kesuma; Mira Afrina; Dedy Kurniawan
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.v13i5.4424

Abstract

Strategic transformation and technological innovation in the realm of governments require officials to adapt to new perspectives. Efforts to increase the efficiency of the bureaucratic system and improve public services are directed at realizing ideal government governance. This research aims to build a data integration model for Higher Education State Property (BMN) using the ETL (Extract, Transform, Load) method using Pentaho. Researchers used the ETL method because the function of the asset module in the SAKTI Application, such as the room goods list (DBR), was not optimal, which made it difficult for the BMN team in the inventory process. Usually, an inventory is carried out using the SITARI application to identify recorded items and their location. The steps taken are to reconcile the BMN data in the SIMAN application with the procurement documents, then import the appropriate data into the SITARI application. Considering the large amount of BMN data, it is still possible for operator errors to occur in matching the data. This research is expected to produce an integration model that can reduce the level of data synchronization errors and make it easier for the BMN team to present more accurate reports.
Implementasi Teknologi Blockchain Dalam Pengembangan Sistem E-Career Berbasis Mobile Politeknik LP3I Medan Rahmah, Maulidya; Almadany, Khairunnisa; Khair, Rizaldy
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.v13i5.4426

Abstract

In the current digital era, Blockchain technology has shown great potential across various sectors, including education and career development. However, its application in electronic career systems or E-Career is still rare. This creates an urgency to conduct research on how Blockchain technology can be applied in E-Career systems to enhance efficiency, transparency, and security in the career search process for students. This study aims to implement Blockchain technology in the development of an E-Career system at Politeknik LP3I Medan, based on a mobile application. One sector that can benefit from Blockchain technology is the electronic career system or E-Career. This system aims to facilitate career searches for students in a more efficient and transparent manner. However, the challenge in implementing this system lies in ensuring that data shared between different parties is secure and immutable. The main goal is to create a system that is not only efficient but also secure and transparent. Thus, students can search for careers in a more efficient and transparent way, while companies can more easily find the right candidates. Additionally, this research also aims to identify and address the challenges in integrating Blockchain technology with mobile applications.
Model Pembelajaran Mengaji Berbasis Web Untuk Mempermudah dan Memfasilitasi Proses Belajar Mengaji Bagi Anak-Anak Rubminto, Angger Brayhan
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.v13i5.4429

Abstract

Religious education, especially in learning Quranic recitation, plays a crucial role in building the character and morals of children from an early age. This education provides a strong foundation for their future development. This research aims to develop a web-based learning model, Mengajiku, designed to facilitate the process of learning Quranic recitation, particularly in the introduction of Arabic letters (Hijaiyah), Tajweed, and basic understanding of the Quran. This learning model was developed using the ADDIE approach, which includes analysis, design, development, implementation, and evaluation to ensure its effectiveness for users. The test results show that the majority of users, especially children, responded positively, indicating that this model successfully captured their interest in learning Quranic recitation. The System Usability Scale (SUS) test produced an average score of 82.65, which falls under the "excellent" category, indicating success in terms of usability, ease of use, and user satisfaction. This model is expected to be an effective tool for learning the Quran for children in the digital era.
analisis Analisis Pengaruh Dimensi Budaya Terhadap Penggunaan Aplikasi Capcut Menggunakan UTAUT2 Ariyansir, Sigit; Syaifullah; Khairil Ahsyar, Tengku; Jazman, Muhammad; Marsal, Arif
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.v13i6.4430

Abstract

This research aims to determine the factors that influence the intention and use of the Capcut application, using Hofstede's extended UTAUT2 model with cultural variables. Data was collected through observation, interviews, document review and questionnaires. The analytical method used is PLS-SEM, with external models, internal models and hypothesis testing. The research results show that of the many hypotheses tested, only H3 (social influence on behavioral intentions), H7b (habits on usage behavior) and H14 (passion/restraint usage behavior) were accepted. Other hypotheses, such as performance expectations, effort expectations, and other cultural dimensions, did not show significant influence on usage intentions and behavior. In conclusion, habitual factors and social influence are the main drivers for adopting the Capcut application, while other factors do not have much influence in the context of this research
Cloud Migration Analysis for Core System Infrastructure in Financial Services: Study Case PT XYZ Hadinata, Stefanus Kevin; Aji , Rizal Fathoni
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.v13i5.4433

Abstract

Currently, cloud computing adoption is being utilized in the financial sector for its flexibility and innovative technologies. This study assesses PT XYZ's readiness to migrate its core systems to a cloud environment, which is crucial for maintaining competitive agility and robustness in Indonesia's financial services sector. Focusing on the diffusion of innovations (DOI) model and the technology-organization-environment (TOE) framework, the research examines ten factors influencing PT XYZ's migration strategy. The analysis identifies challenges related to PT XYZ's aging on-premises infrastructure, including server procurement delays and maintenance issues, which impact operational efficiency. Through semi-structured interviews with key IT personnel, this study explores perceptions of the benefits and challenges of cloud computing, as well as regulatory compliance, aiming to guide PT XYZ toward a successful cloud migration that ensures continuity, compliance, and enhanced operational capabilities. The findings contribute to understanding the relative advantages, such as cost savings and security concerns, complexity, compatibility, technology readiness, top management support, firm size, competitive pressure, and regulatory factors. PT XYZ’s decision to migrate aligns with all the factors for cloud computing adoption, with the relative advantage, complexity, compatibility, technological readiness, and top management support being high impacts on the migration decision, while regulatory compliance presents a challenge for the financial services industry in Indonesia].
Fully Convolutional Neural Network untuk Segmentasi Diagnosis Jantung pada Ekokardiografi Short Axis Rohmah, Jauharil
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.v13i5.4434

Abstract

This research discusses the application of Fully Convolutional Neural Networks (FCNs) for echocardiographic image segmentation as a diagnostic aid for heart conditions. Image segmentation is crucial in identifying cardiac structures, enabling accurate and timely diagnosis. In this study, the FCN-8 architecture is employed to perform segmentation on echocardiographic images with a short-axis view. The segmentation results are evaluated using several metrics, including Dice Coefficient, Intersection over Union (IoU), precision, and recall. Based on the evaluation, the model demonstrated good performance in distinguishing cardiac structures, with a Dice Coefficient of 0.85 and IoU of 0.79. This approach shows potential in assisting physicians in making faster and more accurate diagnoses for patients with heart disorders. This study concludes that FCN-8 can be an effective tool in supporting the diagnostic process in the medical field
Perancangan dan Pengembangan Prototipe Pengelolaan E-Wallet Seluler Menggunakan Teknologi NFC Lubis, Ika Rahmadani; Rahmah, Maulidya; Khair, Rizaldy
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.v13i5.4435

Abstract

In the era of digitalization, the need for innovation in financial management has become increasingly urgent. With the emergence of E-wallets as a digital payment solution, the efficiency and security of transactions have become primary focuses. Therefore, this research plays a crucial role in presenting an innovative solution by designing and developing a mobile application prototype that integrates E-wallet management with Near Field Communication (NFC) technology. The urgency of this research is highlighted by the increasing use of E-wallets, which indicates that digital financial solutions are gaining wider acceptance in society. In this context, the integration of NFC becomes relevant as it offers higher security and enables more efficient transactions. This study aims to address the growing market demand for digital payment solutions that are fast, secure, and user-friendly. The objective is to design and develop a mobile application prototype that not only simplifies E-wallet management but also leverages the advantages of NFC technology. The goal is to provide users with a more convenient and secure transaction experience. Thus, this research is expected to increase the adoption of E-wallets among the general public. The result of this research is a mobile application prototype integrated with NFC technology for E-wallet management.
Komparasi Berbagai Metode Klasifikasi Teks Untuk Sentimen Pengguna Gawai Di Usia Dini Meliana, Yovi; Suryono, Ryan Randy
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.v13i5.4439

Abstract

In the context of rapid digital development, the use of gadgets among Indonesian children has become a very important topic to study. This study aims to analyze sentiments related to gadget use by applying classification methods such as Support Vector Machine (SVM), Naïve Bayes, and Decision Tree. To overcome data imbalance, After applying the SMOTE technique, the results of the study revealed that SVM obtained the highest accuracy of 99% with SMOTE, followed by Decision Tree which reached 98% and Naïve Bayes which obtained 94% when SMOTE was applied. In addition, the application of preprocessing techniques such as tokenization, stemming, and filtering contributed to improving data quality. These findings emphasize the importance of choosing the right method in sentiment analysis to understand the impact of gadget use on children's development. This study provides meaningful insights for the development of better policies and practices related to children's digital device use
Perbandingan Berbagai Metode Klasifikasi Teks Untuk Sentimen Kebijakan Makan Gratis Di Indonesia Yuspita, Emi; Suryono, Ryan Randy
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.v13i5.4440

Abstract

The free meal policy is an important initiative to improve the nutrition of children under five and pregnant women and reduce social inequality. This policy supports low-income families by providing free food and milk in schools and Islamic boarding schools. On social media, especially platform X (Twitter), this policy sparked public discussion. This research aims to analyze sentiment regarding the free meal policy using Naive Bayes, SVM, and Decision Tree methods, as well as providing the effectiveness of classification algorithms in understanding public opinion. Of the 5,205 tweets analyzed, there were 4,735 positive tweets and 470 negative tweets. Applying Smote to this analysis provides significant results. SVM achieved 99% accuracy, Decision Tree also showed good performance with 98% accuracy. Meanwhile, Naive Bayes experienced an increase in accuracy of up to 91%, although it was still less than optimal in detecting negative sentiment compared to SVM and Decision Tree.

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