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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 1,114 Documents
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Komparasi K-Means Clustering dengan Euclidean dan Cosine Similarity untuk Segmentasi dan Rekomendasi Produk pada Data E-Commerce Ermy Pily, Annisa Khoirala; Susanti; Rio, Unang; Tashid
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): 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.v14i2.4713

Abstract

Segmentasi pelanggan dan sistem rekomendasi berperan penting dalam meningkatkan pengalaman pengguna dan efektivitas analisis perilaku pelanggan. Penelitian ini membandingkan K-Means Clustering dengan Euclidean Distance dan Cosine Similarity untuk segmentasi pelanggan. Hasil evaluasi menunjukkan K-Means dengan Cosine Similarity lebih unggul, dengan Silhouette Score 0.6918, Calinski-Harabasz Score 3016.781, dan Davies-Bouldin Score 0.951, dibandingkan dengan 0.2363, 1257.178, dan 1.368 pada Euclidean. Clustering diterapkan pada sistem rekomendasi hybrid yang menggabungkan CBF, CF, dan CBPR. Hasil eksperimen menunjukkan bahwa hybrid recommendation dengan bobot CF 0.3, CBF 0.5, dan CBPR 0.2 menghasilkan Precision 0.8266, Recall 0.6198, NDCG 0.9964, dan Hit Ratio 0.9964. Penelitian ini menyimpulkan bahwa K-Means dengan Cosine Similarity lebih efektif dalam membentuk klaster pelanggan, sementara hybrid recommendation dengan bobot CF 0.3, CBF 0.5, dan CBPR 0.2 meningkatkan kualitas rekomendasi secara lebih relevan dan terstruktur.
ANALISIS DAN EVALUASI : PERBANDINGAN KEAMANAN CMS WORDPRESS DAN JOOMLA DENGAN KONFIGURASI STANDAR Noorsyahbannie, Mochamad Najib Budi; Uriawan, Wisnu; Zulfikar, Wildan Budiawan
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4716

Abstract

Since the industrial era 4.0, many organizations have chosen to switch to using Content Management Systems (CMS) to manage websites. This CMS makes it easy to create, design, and organize content without having to have programming knowledge. However, CMS is also vulnerable to cyber attacks such as XSS and SQL Injection. This study was conducted to analyze and evaluate vulnerabilities in WordPress and Joomla CMS through penetration testing and vulnerability scanning methods. The use of various tools such as OWASP ZAP, Burpsuite, Joomscan, WPScan, and Searchsploit were used to analyze these vulnerabilities. The results of the study showed that Joomla CMS with standard configuration did not show significant vulnerabilities, while in WordPress a stored type XSS vulnerability was found in the comment feature. Searchsploit also identified vulnerabilities in both CMSs originating from thirdparty plugins. The results of this study highlight the importance of strict input and configuration sanitation and regular maintenance on CMS to reduce the risk of exploitation.
Enhancing Energy Generation Through Floating PV Integration with Existing Hydropower Station Hnin Yu Wai; Wunna Swe; Swe Zin Oo
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): 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.v14i2.4722

Abstract

In this paper, the design and performance of an integrated floating photovoltaic (PV) system at the Kun Chaung Hydropower Station in Myanmar are analyzed. Hybridizing grid-connected hydropower with floating PV enhances renewable energy output. A site assessment evaluates the reservoir’s suitability, considering solar irradiance, water levels, and environmental impacts. The proposed design includes PV module specifications, floating structures, and system integration. Energy output is analyzed under various conditions. Results show that the minimum hydropower generation in April, 24343 MWh, increases to 33865 MWh with floating PV, while maximum generation in November rises from 40878.2 MWh to 47768.6. Integration improves system capacity, ranging from 56.74 MW in May to 117.68 MW in October. These findings confirm the potential of floating PV to enhance energy generation. The study concludes with recommendations for implementation and highlights future research opportunities to optimize performance and assess economic feasibility.
Assessment of Renewable Energy Potential in Building Integrated System for High Rise Building Swe Zin Oo; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4726

Abstract

This research presents the design form the renewable energy sources from the high -rise building, ICON Mandalay in Mandalay,Myanmar. The amount of renewable energy sources that can be harnessed from Building Integrated Photovoltaic (BIPV)panels installed the four facades of the high-rise building and presents the ideas of designing a small-sized wind turbine or micro wind turbine for high rise structure to generate electricity was estimated. The energy self-sufficiency of high- rise building can be approached by generating the renewable energy sources without effecting the original purpose of the structures. As global energy consumption continues to rise, managing building energy use through on-site renewable energy generation can help meet this growing demand. Based on the available building area, calculations show that the two renewable energy sources can be installed, allowing for significant energy generation potential. This paper study energy generation from building integrated renewable energy sources under varying conditions, providing insight into the variability and reliability of energy production in such an environment. Additionally, the total available energy from the BIPV is estimated 5.878 MWh/Day and micro wind Turbines is generated 43.662 kWh/Day and potential contribution to the building's power demands of high-rise buildings. The finding that the amount of energy generated by BIPV in high-rise building is 134 times grater than the energy generated by micro wind power. Therefore, BIPV sources are the most convenient option for urban energy generation in high-rise building.
Impact of Blocking Diodes on Fault Current Behaviour in Photovoltaic Arrays under Line-Ground and Line- Line Faults Aye Aye Mon; Han Phyo Wai
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4727

Abstract

The maximum power output from a photovoltaic (PV) array is reduced by abnormal situations like faults and partial shading. In order to improve reliability, efficiency and safety in PV systems, fault analysis in solar photovoltaic (PV) arrays is crucial. Blocking diodes play a crucial role in photovoltaic (PV) arrays by preventing reverse current flow and improving system reliability under fault conditions. This paper investigates the impact of blocking diodes on fault current behavior in PV arrays subjected to Line-to-Ground (L-G) and Line-to-Line (L-L) faults. A comparative analysis is conducted between PV arrays with and without blocking diodes to evaluate their effect on fault current magnitude, and power loss. Results indicate that blocking diodes significantly limit reverse fault currents, thereby reducing system damage and enhancing fault isolation.The presence of blocking diodes modifies the I-V characteristics of the PV array, influencing fault detection methodologies. The performance results of 25 kW PV array system are revealed by using a Matlab/Simulink model of 10×5 size of solar array.
Comparative Analysis of Battery SOC Depletion and Driving Range of PMSM-driven Electric Vehicle (EV) using Sinusoidal PWM (SPWM) and Space Vector PWM (SVPWM) Control Khin Maung San; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4728

Abstract

Conventional vehicles utilize fossil fuels to provide a good performance and long range leading to exhaust gas emissions causing environmental pollution & low fuel economy. Electric vehicles are called future vehicles in the place of internal combustion engines because they work with pollution and are more efficient. In the impending future, the automotive industry is marching towards cleaner energy. This paper presents the comparative analysis of battery SOC and driving range of an electric vehicle (EV) with a decoupling control method using SPWM and SVPWM. Simulation tests have been carried out on an 80 kW Nissan Leaf EV that consists of a permanent magnet synchronous motor and a three-level inverter. The analysis is focused on MATLAB simulations, based on speed regulation, torque response, usage battery SOC, and travel range. For these closed-loop feedback control methods, the reference speed is obtained by driving an internal combustion engine (ICE) car in the mountain region of Southen Shan State, Myanmar for 60 sec.
Voltage Sag and Swell Mitigation Using Dynamic Voltage Restorer in Grid Connected PV System Win Sandar; Han Phyo Wai
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4729

Abstract

Three transformers and twelve feeders make up the Mandalay Zone (2) substation in Pyigyitagon Township. The industrial load feeder is load feeder B, which has a 45 MVA and 132/11 KV capacity. Other feeders include A, B, C, D, E, F and the Awarat/55 feeders. A number of faults in the industrial load feeder B may result in different voltage sags. The load feeder B can meet voltage swell when the sudden load decrease, fault clearance, capacitor starting, unbalanced loads, lightning strikes, grid overvoltage, etc., appear. A dynamic voltage restorer (DVR) is connected in series between the source and protected load feeder B in order to compensate for voltage sag and swell in the suggested system. The DVR's design is taken into account for a 0.5 sag in voltage. The compensation voltage is produced by the DVR's voltage source inverter and sent into the grid via the injection transformer after the DVR first detects voltage sag and swell. To return it to normal, the DVR absorbs excess voltage during a swell or injects the missing voltage during a sag. The synchronous reference frame theory is used for the control of DVR. The load voltage is approximately 9.02 kV after all feeders and faults have been compensated for, and the rated values have been restored. For every feeder and all faults, the THD% on the voltage of the faulted phase A is less than 5%. After compensation, the THD% for the remaining phases is approximately 5%. Likewise, the THD% on current is less than 5% for every phase and all faults. The DVR can only make up for for grid side voltage sag brought on by different faults. During faults, the solar plant's AC power output dropped.
Design Optimization Analysis of Ground Grid in Extra High Voltage Substation using ETAP Software Shwe, Hnin Ei; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4730

Abstract

The power system of Myanmar relies on the 500 kV substations. They provide the power needs of the entire power system while covering a huge region. Examining the substation's ground grid system thoroughly is necessary to safeguard the grid and maintain its functionality. The grounding system of the substation is thoroughly examined, incorporating practical data collection for detailed analysis. Special emphasis is placed on the application of the latest IEEE 81-2013 standards during the data collection phase. The analysis and modeling of the network are conducted using ETAP software version 19. Specifically, the Ground Grid System (GGS) module, available in the latest version of ETAP (version 19), is utilized for the study. The substation is planned for an extension, which includes the installation of a new power transformer. The addition of the new power transformer is anticipated to elevate the overall fault level of the substation. This increase in fault level is analyzed in a dedicated case study, and a potential solution is proposed. A new ground mesh is also designed for this area, serving as a benchmark for future substations in the region, ensuring that essential parameters are carefully considered. Additionally, a new ground mesh is designed for a 500 kV substation, as it is expected to become part of the national grid in the near future. This aligns with the ongoing feasibility study conducted by NCC in Myanmar for the establishment of the first 500 kV substation in the area. The impact of variations in ground grid resistance and key safety parameters, influenced by changes in ground grid mesh shape, depth, and size, is thoroughly explained using results derived from various scenarios.
Economic Analysis of Automatic Process Control for Peanut Oil Production by Payback Period Method May Thida Than; Swe, Wunna
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4731

Abstract

This study examined the production method and rate at a peanut oil production industry in Myingyan Township, Mandalay Region. The actual operation time for each machine was collected from this industry. According to the operation process of this industry, 75% of the workers engaged in peanut oil processing used the traditional technologies, which are labor-intensive and time-consuming. This paper presented a study on improving the production rate of peanut oil through the development and implementation of an automated process control system. To control and automate the production process, a programmable logic controller (Siemens S-7 1200) is used by a ladder logic diagram with TIA portal software. The conventional method produced 752 kg of peanut oil for one day, whereas 1127 kg of oil can be achieved by the automatic method. A detailed methodology for economic analysis of peanut oil production, involving the main variables that affect its profitability, was presented and tested by the payback period method. This method refers to the time it takes to recover the initial investment capital for a cloud project.
The Role of Deep Learning in Network Intrusion Detection Systems: A Review Abdullah, Rebwar; ibrahim, Media; askar, Shavan; hussein, Diana
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4734

Abstract

This review synthesizes findings from several key studies focusing on the role of deep learning (DL) in network intrusion detection systems (NIDS). It highlights the growing importance of using DL techniques to enhance the detection of complex and evolving cyber threats. Traditional methods such as signature-based systems or anomalous systems often fail to meet the accuracy of modern attacks, prompting researchers to explore DLs to improve accuracy and adaptability. Several studies have demonstrated the effectiveness of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs) in classifying network traffic and identifying malicious activities. These deep learning models are particularly valuable because of their ability to automatically learn features from raw data, reducing the need for manual feature engineering. The review emphasizes the challenges in training DL models, including the need for large, labelled datasets and addressing issues associated with false positives and model interpretability. Despite these challenges, DL-based NIDS have shown significant improvements in real-time threat detection and mitigation rates. However, there is ongoing research to optimize these models for better performance, scalability, and generalizability across different network environments. Overall, the integration of deep learning into NIDS represents a promising frontier in combating increasingly sophisticated cyberattacks.

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