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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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Klasifikasi Genre Music Menggunakan Hybrid Resnet18-Bidirectional LSTM dengan Mekanisme Atensi dan Fitur MFCC dan Mel-Spectogram Dimas Elang Setyoko
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4456

Abstract

Incorrect Genre Classification is still often found. One of the causes is the selection of inappropriate features. This has an impact on the ability of the classifier model because some methods with a machine learning approach are highly dependent on the features used. Utilization of several features, especially spectral features, can improve the performance of the classifier model. On the other hand, methods with a deep learning approach such as CNN and RNN have been proven to outperform machine learning-based methods. This study proposes a hybrid Resnet18-BiLSTM model with the addition of the Convolutional Block Attention Module (CBAM) attention mechanism to improve the accuracy of music genre classification. Moreover, this study also combines two spectral features, namely mel-spectrogram and MFCC. The results of the experiment using the GTZAN dataset showed that the combination of mel-spectrogram and MFCC and the addition of the CBAM attention mechanism were able to classify music genres with an accuracy rate of 95.60% in validation and 95.30% in testing.
Analisis Kepuasan Pengguna Aplikasi DANA Menggunakan Metode CSI dan E-Servqual Febriansyah, Yudhi; Syaifullah; Ahsyar, Tengku Khairil; Muhammad Jazman
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4457

Abstract

Kemajuan teknologi informasi saat ini telah mempermudah berbagai aspek kehidupan, termasuk transaksi non-tunai yang semakin populer. Teknologi ini berperan besar dalam meningkatkan jumlah konsumen serta mempengaruhi kebutuhan dan gaya hidup masyarakat di era ekonomi digital. Penelitian ini bertujuan untuk mengukur tingkat kepuasan pengguna dan kualitas layanan aplikasi DANA sebagai alat pembayaran digital di kalangan UMKM di Kota Pekanbaru, dengan menggunakan lima dimensi e-Servqual. Metode penelitian melibatkan penyebaran kuesioner kepada 30 responden untuk mengevaluasi aspek Customer Satisfaction Index (CSI) dan e-Servqual. Hasil penelitian menunjukkan bahwa tingkat kepuasan pengguna berada dalam kategori "puas" dengan skor CSI sebesar 72,21%. Namun, terdapat kesenjangan antara harapan dan persepsi pengguna, terutama pada dimensi Responsiveness, yang menunjukkan kualitas layanan terendah. Kesimpulannya, meskipun pengguna secara umum merasa puas, peningkatan pada dimensi Responsiveness diperlukan untuk memperkuat kepuasan dan loyalitas pengguna aplikasi DANA di masa mendatang.
A The Influence of Service Quality and Facilities on Cafe Customer Satisfaction: A Meta Analysis Rendi Rezki; Agusti Efi
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4458

Abstract

This study analyzes the Influence of Service Quality and Facilities on Customer Satisfaction. The articles used as research samples were published nationally, indexed by Google Scholar, and Sinta. The articles used as samples were published from 2019-2024 with the title Influence of Service Quality and Facilities on Customer Satisfaction. The results of a review of 15 studies showed an influence of service quality and facilities on customer satisfaction with a value of 0.57 (95% CI = 0.371 to 0.991). Research inconsistency shows a high value. High inconsistency in research indicates that the results between studies are inconsistent, possibly due to differences in methodology, samples, or context. This indicates that the relationship between variables is not universal and requires further analysis. Varied correlation results will indicate a high heterogeneity value. High heterogeneity indicates that the research results are inconsistent, with different correlation values.
Analisis Kepuasan Pengguna Aplikasi Spotify menggunakan Metode End-User Computing Satisfaction (EUCS) Rama, M Bryant Rama Ajalal; Muhammad Jazman; Tengku Khairil Ahsyar; Syaifullah
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4459

Abstract

The increasing use of digital applications among fan communities encourages the importance of understanding the factors that influence user satisfaction. This study aims to analyze the influence of Content, Accuracy, Format, Ease of Use, and Timeliness on user satisfaction in the Weverse application. Using a quantitative approach with multiple linear regression methods, this study examines the effect of independent variables on the dependent variable. The analysis results show that Accuracy, Format, and Ease of Use have a significant influence on user satisfaction, while Content and Timeliness have no significant effect. Simultaneously, all independent variables contribute 54.1% to user satisfaction, based on the Adjusted R Square results. In conclusion, technical factors such as information accuracy, ease of use, and presentation format play an important role in increasing app user satisfaction, while content and timeliness of information have a smaller role. The findings provide valuable insights for app developers in improving user experience and maintaining customer loyalty in the competitive digital age.
Analisa Performansi Komunikasi Lora (Long Range) pada Sistem Monitoring Buoy di Laut Sa'adah, Nihayatus; Aries Pratiarso; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4462

Abstract

LoRa (Long Range) is a leading technology in Low Power Wide Area Networks (LPWAN), ideal for Internet of Things (IoT) applications. Designed for long-range communication with low power consumption, LoRa is used in monitoring navigation buoys, critical aids in marine waters. An IoT-based monitoring system is essential for maintaining buoy functionality. LoRaWAN, with a range of 15 kilometers under line of sight (LoS) conditions, is employed for IoT connectivity in this system. In this study, 915 MHz LoRa communication was used in buoy monitoring, with performance evaluated based on signal-to-noise ratio (SNR) and received signal strength indicator (RSSI). Measurements showed an average RSSI greater than -120 dB and an average SNR greater than -20 dB, indicating LoRa's suitability as a communication network for buoy monitoring systems.
Simulation on Image Reconstruction of Concrete with Rebars by Filtered Back Projection Algorithm using PHITS and MATLAB Program Myo Thet Han; Thaw Tun Ko
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4463

Abstract

This paper describes simulation on image reconstruction of concrete with rebars by filtered back projection algorithm using PHITS and MATLAB program. In PHITS simulation, a source of Cs-137 and NaI (Tl) detector were used. Concrete block with one rebar was carried out with PHITS simulation. The sample of another concrete block with two rebars with different diameters was also conducted. Linear attenuation coefficient values of the concrete were calculated. These phantoms were rotated with 2.8125 degree intervals over 0 to 180° in PHITS simulation. The objects were scanned with the parallel beam method and the projection data were obtained. The data was built into the image using filtered back projection (FBP) algorithm. The ‘spline’ interpolation and ‘Hamming’ filter functions were chosen for the clearest image in image reconstruction. The results indicated that the reconstructed images of the concrete containing one rebar and two rebars can be observed clearly in MATLAB.
The Evolution of Educational Assessment: How Artificial Intelligence is Shaping the Trends and Future of Learning Evaluation Saputra, Indra; Kurniawan, Arief; Yanita, Merita; Yeni Putri, Elviza; Mahniza, Melda
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4465

Abstract

The article discusses the challenges in traditional educational assessment methods, such as limited personalization, inefficient feedback, and an overemphasis on lower-order thinking skills. The study aims to explore the evolving role of Artificial Intelligence (AI) in educational assessment, identifying current trends, assessing its impact on learning, and forecasting future developments. A systematic literature review (SLR) was employed to examine the integration of AI in both formative and summative assessments. The findings reveal that AI-based assessment systems provide adaptive, personalized feedback, promote student engagement, and foster individualized learning paths. AI technologies, like machine learning and natural language processing, are particularly effective in providing real-time feedback and evaluating higher-order competencies, including critical thinking and creativity. However, challenges such as data privacy and algorithmic bias remain critical concerns. The study concludes that AI has significant potential to transform educational assessment, offering more dynamic, efficient, and personalized evaluation methods. Future research should focus on addressing ethical concerns like data privacy and algorithmic bias while enhancing AI-driven assessments' adaptability and scalability to support diverse learner needs.
An Integration of User Experience and Agile Software Development: A Systematic Literature Review M. Arrasyid Rakhmadaszan; Teguh Raharjo; Ni Wayan Trisnawaty
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4466

Abstract

New methods and best practices are being used to enhance the software lifecycle because of the recent expansion of the software industry. Agile development approaches have also been widely used, and they have positively affected people's lives and the operations of enterprises. Although agility makes working with developers easier, it does not offer enough chances to collaborate with users. In early Agile formulations, User Experience (UX) was not recognized as a distinct part of software development. The tricky part is figuring out where to integrate them and how to merge them so that the two parts interact. Combining user experience with Agile approaches is the subject of this research's proposed systematic literature review (SLR). This research found ten relevant studies highlighting the growing interest and research in merging these two critical areas of software engineering. In conclusion, this research found some papers or studies integrating user experience into Agile methodologies. Many techniques are used, and all studies have different approaches to integrate them.
Evaluasi User Experience Pada Game Playerunknown’s Battlegrounds (Pubg) Mobile Menggunakan Metode Heuristic Evaluation Danil Risaldi; Megawati; Idria Maita; Febi Nur Salisah
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4468

Abstract

Pubg Mobile game is a game developer from "Tencent Games", Pubg Mobile was released on February 9, 2018. The genre of this game is Battle royale, where players can play with 100 people at once online. There are several negative reviews from Pubg Mobile game users, namely, character bugs often occur during the game, often force close on 3 GB RAM smartphones and loading into the game is very long so that users are very uncomfortable when using it. This study uses the Heuristic Evaluation method as a measurement of user experience. This study aims to evaluate the user experience in the Pubg Mobile game application using the Heuristic Evaluation method. The results of this study indicate that the Visibility Of System Status variable gets a total value of p1 75.6%, total p2 72.9%, total p3 75.6% with the status "Good", Match Between System and Real World gets a total value of p1 64.8%, total p2 75.6%, total p3 72.9% with the status "Good". User Control And Freedom gets a total value of p1 72.9%, total p2 75.6%, with the status of "Good", Consistency And Standards gets a total value of p1 51.3%, total p2 70.2% with the status of "Not Good", Error Prevention gets a total value of p1 70.2%, total p2 70.2%, with the status of "Good", Recognition Rather Than Recall gets a total value of p1 72.9%, total p2 72.9%, with the status of "Good", Flexibility And Efficiency Of Use gets a total value of p1 56.7%, with the status of "Quite Good", Aesthetic And Minimalist Design gets a total value of p1 78.3%, with the status of "Good", Help User Recognize, Diagnose And Recover From Errors gets a total value of p1 78.3%, with the status of "Good", and the last variable Help And Documentation gets a total p1 78.4%, with the status of "Good". It is necessary to make improvements or enhancements to the Consistency And Standards variables to get better values ​​than before.
Sistem Pengawasan Berbasis IoT pada Robot Vision Untuk Peningkatan Keamanan Perimeter di Industri Batam Caniago, Deosa Putra; Muhammad Jufri; M Abrar Masril
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4476

Abstract

Batam City faces significant security challenges alongside rapid industrial growth, making the need for effective surveillance systems in industrial areas urgent. This research developed a surveillance robot utilizing Internet of Things and computer vision technologies to enhance perimeter security in industrial zones. The robot is equipped with Arduino as the controller, a Pixy2Cam camera for object detection, and a WiFi module for remote connectivity. Testing results indicate that the robot can detect individuals wearing safety gear in 0.2 seconds and achieves a detection success rate of 100% under ideal conditions. The developed controller application using MIT App Inventor also displays real-time images, allowing for rapid responses to potential threats. This research demonstrates that the developed surveillance robot effectively enhances monitoring in the Batam industrial area.

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