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KARONA CAHYA SUSENA
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Jurnal Media Computer Science
Published by Universitas Dehasen Bengkulu
ISSN : -     EISSN : 28280490     DOI : https://doi.org/10.37676/jmcs
Core Subject : Science,
Computer Science & IT
Jurnal Media Computer Science merupakan jurnal nasional yang diterbitkan oleh Universitas Dehasen Bengkulu sejak tahun 2022. Jurnal Media Computer Science memuat artikel hasil-hasil penelitian di bidang Komputer, Sistem Informasi dan Teknologi. Jurnal Media Computer Science berkomitmen untuk menjadi jurnal nasional terbaik dengan mempublikasikan artikel berbahasa Indonesia yang berkualitas dan menjadi rujukan utama para peneliti.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 142 Documents
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Implementation Of Data Mining In Forecasting Herbal Medicine Sales At Cv. Anugerah Alam Indonesia Using The Linear Regression Method Lesmana, Ferdi; Elfianty, Lena; Fredricka, Jhoanne
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9030

Abstract

CV. Anugerah Alam Indonesia is a company engaged in the production and sale of herbal medicines. The main issue faced by the company is the inaccuracy in estimating production quantities, which often leads to either overstocking or stock shortages. This research aims to develop a sales forecasting application for herbal products using the simple linear regression method as part of data mining techniques. The sales data used in this study spans from 2020 to 2025 and focuses on ten selected herbal products. The application is web-based, developed using the PHP programming language and Laravel framework, with MySQL as the database. The forecasting process involves calculating regression constants and coefficients based on historical sales data and evaluating the prediction results using the Mean Absolute Percentage Error (MAPE) metric. The test results show that the forecasting model demonstrates varying levels of accuracy, ranging from very good to acceptable, depending on the product. By implementing this system, the company can optimize its production and distribution processes, avoid resource waste, and improve operational efficiency.
Web-Based Attendance System For Daily Freelance Workers At The Secretariat Of The Regional House Of Representatives (DPRD) Of Minahasa Regency Using The Prototype Method Rawung, Lanamey Praisy Indiana; Rorimpandey, Gladly Caren
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9067

Abstract

The procedure of recording the attendance of casual workers at the Secretariat of the Regional People's Representative Council (DPRD) of Minahasa Regency is still carried out manually, which is easily exposed to recording errors, manipulation of data, and requires ineffective time and energy. To solve this problem, this research aims to design and develop a web-based attendance recording system by applying the Prototype method. This method was chosen because it supports the development of a system that is interactive and responsive to user needs through a series of iterations between developers and users. The designed system enables electronic attendance recording, employee data management, as well as the presentation of attendance reports automatically and precisely. The pilot test shows that the system is able to increase efficiency and accuracy in the attendance administration process, as well as facilitate supervision by the authorities. Therefore, the system is expected to serve as an effective solution to support a more modern and transparent administrative management within the Secretariat of Minahasa Regency Parliament.
Design Of A Website-Based Patient Medical Record Application (Case Study: Rumah Sakit Advent Medan) Sigalingging, Deka S. N.; Wijaya, Rian Farta
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9139

Abstract

Medical records are documents containing patient identity data, examination, treatments, procedures, and other services provided to patient. The management and storage of medical records at Advent Hospital are still conducted manually, leading to data duplication, input errors, and time-consuming data retrieval processes. This study aims to develop a web-based medical record information system to enhance the efficiency of patient data processing. The system was build using PHP and MySQL with Software Development Life Cycle (SDLC) cascade model (waterfall model). Black box testing results indicate that all functions of the medical record system operate efficiency and validly. The system is effective in reducing data duplication and accelerating data retrieval.
Comparative Analysis Of The Efficiency Of Auxiliary Power Unit (APU) And Ground Support Equipment (GSE) On The Electrical System Of Airbus A320 Aircraft Ardiansyah, Luvan; Siagian, Parlin; Gunawan, Haris
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9195

Abstract

This research analyzes the efficiency comparison between the Auxiliary Power Unit (APU) and Ground Power Unit (GPU) on the Airbus A320 aircraft's electrical system during ground operations. Aircraft operations require a stable power supply, provided by either an internal APU or an external GPU. Although the APU offers flexibility, its high fuel consumption and significant environmental impact are considerable concerns. Conversely, the GPU is deemed more efficient and environmentally friendly. The study aims to calculate energy consumption, analyze efficiency, and recommend the most efficient and environmentally sound electrical power source. The method employed is a quasi-experimental field observation, involving direct data collection from a Houchin LTD model C690 GPU unit. Data collection was conducted over 7 days, from June 1 to June 7, 2025. Data analysis includes mathematical calculations for energy efficiency and operational economic analysis. Research findings indicate that the GPU significantly outperforms the APU. The diesel GPU exhibits an energy efficiency of approximately 31.30%, considerably higher than the APU's around 1.54% (based on 7 days of data). The GPU also presents superior electrical power quality, characterized by a higher Power Factor and lower Total Harmonic Distortion (THD). It is recommended that airlines prioritize GPU usage, and airport authorities expand Fixed Electrical Ground Power (FEGP) infrastructure to enhance energy efficiency and reduce operational costs.
The Effect Of Stator Excitation Current On The Driving Torque Of A Single-Phase “6/6” Switched Reluctance Generator Design With External Excitation Simatupang, Gidion; Siagian, Parlin; Dalimunthe, Muhammad Erpandi
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9218

Abstract

Switched Reluctance Generators (SRGs) have attracted attention due to their robust construction, low cost, and high fault tolerance, suitable for extreme environments. However, SRGs suffer from torque ripple and acoustic noise due to the non-linear torque-excitation current relationship. Although SRG component optimization has been investigated, a gap exists in the analysis of the effect of stator excitation current on the drive torque in a single-phase "6/6" SRG design with external amplification. This study analyzes the impact of varying stator excitation current on the drive torque of a single-phase 6/6 SRG. The methodology includes design, finite element analysis (FEA), and testing of an initial drive torque prototype. Results show that increasing the stator coil supply voltage results in a greater magnetic force, which counteracts the mechanical torque on the rotor shaft. This understanding is crucial for optimizing torque performance, mitigating ripple, and improving SRG efficiency for future applications.
Evaluation of Human Factors as Vulnerable Points in Information System Security Aditya Rizki Ramadhan; Robiyatul Adawiyyah; Dede Handayani
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10428

Abstract

The increasing adoption of digital technologies and the transformation of organizational operations into the cyber domain have made information system security a crucial strategic issue. Although many organizations have implemented advanced security technologies, such as firewalls, intrusion detection systems, and data encryption, cyber security incidents continue to occur frequently. This phenomenon indicates that system vulnerabilities do not solely originate from technical aspects but are also significantly influenced by human factors. This study aims to analyze the role of human factors as critical vulnerabilities in organizational information system security, particularly in the context of social engineering attacks such as phishing. The research employs a quantitative approach using a survey method. Data were collected through the distribution of Likert-scale questionnaires to users of organizational information systems. The research instrument was developed based on human factors and security awareness indicators and was subjected to validity and reliability testing. The collected data were analyzed using descriptive statistical techniques to identify levels of security awareness and patterns of risky user behavior. The results show that users’ security awareness is at a moderate level; however, various risky behaviors that can potentially be exploited in cyber attacks, especially through social engineering techniques, are still evident. These findings indicate a gap between users’ understanding of information security and the actual implementation of secure behaviors in daily operational activities. This study concludes that the effectiveness of information system security is strongly influenced by user behavior and compliance, in addition to technological factors. Therefore, a more holistic security approach is required through the strengthening of behavior-oriented security training programs and the development of more adaptive and user-friendly security policies.
Factors Influencing Smart Home Adoption Among Generation Y in Batam Eryc Eryc; Deric Cahyadi; Andik Yulianto
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10562

Abstract

This study aims to analyze the factors influencing smart home adoption and continuous usage intention among Generation Y in Batam City using the Extended Technology Acceptance Model (Extended TAM). The examined variables include Perceived Ease of Use, Perceived Usefulness, Cost Value, and Privacy Risk, with Satisfaction as a mediating variable and Continuous Usage as the dependent variable. A quantitative research approach was employed using a survey method, collecting data from 260 Generation Y smart home users in Batam. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that all proposed variables have a significant effect on Satisfaction and Continuous Usage. Perceived Ease of Use, Perceived Usefulness, and Cost Value play a crucial role in enhancing user satisfaction and encouraging sustained smart home usage. Interestingly, Privacy Risk shows a positive effect, suggesting that Generation Y demonstrates a high tolerance for risk as long as the perceived benefits and system protection are considered adequate. These findings confirm the applicability of Extended TAM in emerging market contexts and provide practical implications for smart home developers and technology providers.
Agile Scrum Analysis Of Stakeholder Management Effectiveness In The Batam Real Estate Industry (Case Study: Pt Crisanta Jaya Abadi) Fernando Jose; Zulkarnain Zulkarnain; Syaeful Anas Aklani
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10608

Abstract

The real estate industry in Batam City faces dynamic market conditions and high stakeholder complexity, requiring the adoption of flexible and adaptive project management approaches. Agile Scrum has emerged as an alternative method; however, empirical studies examining its implementation in stakeholder management within the real estate sector remain limited. This study aims to analyze the implementation of Agile Scrum and its impact on the effectiveness of stakeholder management in real estate projects at PT Crisanta Jaya Abadi. The research employs a qualitative approach using a case study method. Data were collected through in-depth interviews with eight informants consisting of company management and project team members directly involved in project execution. The collected data were analyzed using thematic analysis to identify key patterns and themes based on stakeholder perceptions. The results indicate that the implementation of Agile Scrum enhances flexibility in responding to dynamic stakeholder requirements, improves project transparency and communication effectiveness, and supports faster and more accurate cross-functional decision-making. Furthermore, both internal and external stakeholder involvement becomes more active through continuous feedback mechanisms throughout the project lifecycle. Nevertheless, the success of Agile Scrum implementation is strongly influenced by human resource readiness and consistency in applying Agile principles. This study is expected to provide practical insights for real estate companies and contribute to academic literature on the application of Agile Scrum in non-information technology sectors.
Geoprocessing Model for Automation of Land Use Balance Analysis Trisnanti Widi Rineksi; Tatag Bagus Narendra
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10733

Abstract

Land use balance analysis (NPGT) is essential for obtaining information on land ownership, use, and utilization, suitability to spatial planning, and land availability. By providing accurate and detailed data, NPGT can assist the government and stakeholders in making informed decisions regarding land allocation and use. Method in the land use balance analysis requires several stages, thus requiring time to process data. By using automation, data processing can be accelerated compared to conventional processing which requires many stages. This study aims to create a geoprocessing tool in ArcGIS Pro to shorten the processing stages and be able to produce primary analysis in the form of changes in use, suitability, and directions for land availability. By applying the geoprocessing model for land use balance sheet analysis, better performance was obtained compared to conducting conventional analysis with an average time of 2.5 minutes. This automation tool has also been tested using the System Usability Scale method where the results obtained with an average score of 72, which is in the acceptable category.
Peningkatan Kinerja Klasifikasi Kerusakan Jalan Menggunakan VGG-19 Berbasis Spatial Attention Richie Jonathan Chaniago; Tinaliah Tinaliah
Jurnal Media Computer Science Vol 5 No 2 (2026): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i2.10921

Abstract

Road infrastructure damage is a serious challenge that threatens the safety of road users. This study aims to improve the accuracy of road damage classification using Deep Learning with a Visual Geometry Group-19 architecture modified with a spatial attention mechanism to select relevant features. The study utilizes a dataset of 3,760 road damage images consisting of four classes (Crack, Pothole, Rutting, and Normal). The dataset is divided into 70% training data and 30% testing data, followed by preprocessing stages including resizing, mean normalization, and standard deviation normalization.The dataset is trained using the Adam and SGD optimizers, along with variations in batch size. The experimental results show that the VGG-19 model with spatial attention using the Adam optimizer and a batch size of 8 achieved the highest accuracy of 91.67%, outperforming the model without attention, which obtained an accuracy of 89.89%.It can be concluded that the addition of the attention mechanism effectively improves the model’s performance in recognizing damage patterns. Therefore, it is recommended for the development of more accurate intelligent infrastructure monitoring systems. This study contributes by demonstrating that the integration of a spatial attention mechanism into VGG-19 consistently enhances classification accuracy compared to the standard VGG-19 model without attention, particularly in small batch size scenarios.

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