Journal of Informatics, Electrical and Electronics Engineering
Fokus kajian Journal of Informatics, Electrical and Electronics Engineering, yaitu: 1. Control System, 2. Artificial Intelligence, 3. Informatics Engineering, 4. Electronics, 5. Advanced energy material, 6. Automatic power control, 7. Battery technology, 8. Distributed generation, 9. Distribution system, 10. Electric power generation, 11. Electric vehicle, 12. Electrical machine, 13. Energy optimization, 14. Energy conversion, 15. Energy efficiency, 16. Energy exploitation, 17. Energy exploration, 18. Energy management, 19. Energy mitigation, 20. Energy storage, 21. Energy system, 22. Fault diagnostics, 23. Green energy, 24. Green technology, 25. High voltage, 26. Insulation technology, 27. Intelligent power optimization, 28. Monitoring operation, 29. Motor drives, 30. Natural energy source, 31. Power control, 32. Power data transaction, 33. Power economic, 34. Power electronics, 35. Power engineering, 36. Power generation, 37. Power optimization, 38. Power quality, 39. Power system analysis, 40. Power system information, 41. Power system optimization, 42. Protection system, 43. Renewable energy, 44. SCADA, 45. Security operation, 46. Smart grid, 47. Stability system, 48. Storage system, and 49. Transmission system
Articles
91 Documents
<![CDATA[Perancangan dan Implementasi Sistem Smart Regulator Berbasis Internet of Things untuk Deteksi Kebocoran Gas LPG ]]>
<![CDATA[Laksono, Muhammad Yurizard]]>;
<![CDATA[Febriawan, Dimas]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i2.2890
<![CDATA[This research focuses on the design, implementation, and evaluation of an Internet of Things (IoT)-based Smart Regulator system developed to detect LPG gas leakage and to perform automatic, real-time safety actions through integration with a smartphone. The proposed system employs the NodeMCU Wemos ESP8266 as the main control unit, which is responsible for processing sensor data and coordinating all system components. LPG gas leakage detection is carried out using an MQ-5 gas sensor, capable of measuring LPG concentration in parts per million (PPM). As part of the safety response mechanism, the system is equipped with several output devices, including a buzzer and LED indicators as warning signals, an exhaust fan to reduce gas accumulation within the enclosed space, as well as a motor servo and a solenoid valve that function to automatically control the gas flow. Based on experimental testing, the system has demonstrated stable and consistent performance in detecting LPG gas leakage. When the detected gas concentration is below 300 ppm, the system remains in a normal operating state without activating any warning devices. When the gas concentration ranges between 300 and 400 ppm, the buzzer and visual indicators are automatically activated as an early warning mechanism. Furthermore, when the gas concentration reaches between 500 and 1000 ppm, the exhaust fan and the regulator valve control mechanism are automatically engaged to reduce gas accumulation and minimize the risk of fire hazards.]]>
<![CDATA[Pengembangan Sistem Helpdesk Berbasis Web Menggunakan Metode Rapid Application Development ]]>
<![CDATA[Setiawan, Andre Nur]]>;
<![CDATA[Ferdianata, Hendra Ferdi]]>;
<![CDATA[Sarumaha, Honorisman]]>;
<![CDATA[Haryono, Wasis]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i2.2912
<![CDATA[Previously, the process of providing information technology device service was still carried out manually, including customer data recording, device documentation, service status updates, and information delivery to customers. This condition potentially caused various problems, such as inaccurate data recording, delays in communication among related parties, and limited managerial capability in monitoring overall service performance. This study aims to design and develop a web-based helpdesk and ticketing system capable of managing the service workflow in a structured, fast, and centralized manner. The system development method employed is Rapid Application Development (RAD), which enables an iterative development process with direct user involvement during the design and prototype evaluation stages. The developed system supports service request submission, customer and device data recording, real-time service status updates, and the provision of operational reports accessible to management. The testing results indicate that the implementation of the web-based helpdesk system improves service data recording efficiency by approximately 60%, increases service data accuracy by up to 80%, and reduces communication delays between customers and service providers. In addition, the provided dashboard feature facilitates management in monitoring technician performance, service status, and operational reports in real time. Therefore, the proposed web-based helpdesk and ticketing system is considered capable of enhancing operational efficiency, service transparency, and overall service quality.]]>
<![CDATA[Perancangan Sistem Keamanan Komputer Sekolah Menggunakan Framework Model View Controller (MVC) ]]>
<![CDATA[Eko Fransisko Bakkara]]>;
<![CDATA[Nanang Nanang]]>;
<![CDATA[Syaeful Syaeful]]>;
<![CDATA[Farida Nurlaila]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i3.3025
<![CDATA[The main problem faced by schools is the low level of security of academic data, such as student, teacher, grade, and administrative data, which is still managed manually or using a simple system without adequate access control mechanisms. This condition has the potential to cause data processing errors, misuse of access, and information leaks. This study aims to design and build a school computer security system that is structured, integrated, and easy to develop by implementing the Model View Controller (MVC) architecture. The research methods used include the stages of system requirements analysis, system design using Unified Modeling Language (UML), database design, system implementation based on the MVC architecture, and functional testing using the Black Box Testing method. The implementation of MVC is carried out by separating system components into Model (data management and business logic), View (user interface), and Controller (process flow controller and authentication), thereby increasing modularity, security, and ease of system maintenance. The results of the study show that the system built is able to improve data security through user authentication mechanisms, role-based authorization (role-based access control), activity monitoring, and integrated usage log recording. The separation of MVC-based architecture has been proven to minimize the risk of access errors and strengthen control over academic data management. The contribution of this research lies in: (1) designing a school computer security system model based on a structured and scalable MVC architecture, (2) implementing a role-based access control mechanism in a school environment, and (3) developing a user activity monitoring model that can be used as a reference for developing security systems in secondary educational institutions. Thus, the designed system is expected to improve the reliability of data management and support school administration processes safely, effectively, and efficiently.]]>
<![CDATA[Pengembangan Platform Distribusi dan Penjualan Musik Digital Berbasis Web dengan Integrasi Payment Gateway untuk Mendukung Musisi Independen ]]>
<![CDATA[Natasya Pritasandri Sipayung]]>;
<![CDATA[Omega Rimba Gemilang]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 4 (2026): June 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i4.3200
<![CDATA[The growth of the digital music industry in Indonesia has increased the demand for music distribution platforms that not only support streaming services but also facilitate direct digital song sales for independent musicians. However, most existing platforms still lack integrated mechanisms for digital distribution, license management, and online payment processing within a single system. This study aims to develop a web-based digital music distribution and sales platform that integrates transaction management, digital file delivery, and a local Indonesian Payment Gateway. The system was developed using a client-server architecture based on RESTful API with MySQL/MariaDB support and Midtrans Payment Gateway integration to support various digital payment methods, including bank transfers, GoPay, OVO, QRIS, and credit cards. The software development process employed the Waterfall model due to its systematic stages and suitability for systems with clearly defined requirements from the initial analysis phase. System evaluation was conducted using Black-box testing on core functionalities, including user authentication, transaction management, payment integration, admin verification, and digital file distribution. The testing results indicate that all system functions operated according to requirements, with an average server response time below two seconds and Payment Gateway integration capable of processing transactions consistently and securely. This study demonstrates that the developed system can support a more structured and efficient digital music distribution ecosystem for independent musicians in Indonesia. The contribution of this research lies in presenting the first direct sales platform for digital music that technically integrates file-ownership-based sales, structured license management, a local Indonesian Payment Gateway (Midtrans), and an admin verification panel within a single unified system specifically designed for the Indonesian independent music ecosystem.]]>
<![CDATA[Pemilihan Lokasi Supermarket Menggunakan Algoritma Penguin Search Optimization ]]>
<![CDATA[Yola Perdila Tamara]]>;
<![CDATA[Dewi Santika]]>;
<![CDATA[Anjar Wanto]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i3.2440
<![CDATA[Supermarket location selection is a critical challenge in strategic planning for modern retail businesses. Incorrect location decisions can lead to low customer visits and high operational costs. This study aims to determine the optimal supermarket location based on six key criteria: population, income, accessibility, distance to competitors, land rental costs, and traffic flow. To address this issue, this study implements the Penguin Search Optimization Algorithm (PeSOA), a metaheuristic inspired by the group hunting behavior of penguins in search of the best resources. A dataset of 50 location alternatives was processed using Python, and each criterion was normalized using the min-max method to standardize the scoring scale. The results show that the best location is at index 33 with a maximum fitness score of 4.3669. PeSOA achieved optimal convergence within 50 out of 100 iterations. The main advantage of PeSOA lies in its ability to explore solution space effectively with minimal parameters and deliver stable outcomes. This study confirms that PeSOA is an effective decision-support tool for retail location planning. These findings can be used as a foundation for developing intelligent algorithm-based decision support systems in the retail sector.]]>
<![CDATA[Penerapan Design Thinking dalam Pengembangan Sistem Informasi Surat Perjalanan Dinas ]]>
<![CDATA[Oscar Wilson Silitonga]]>;
<![CDATA[Mikhael Felix Parulian Situmorang]]>;
<![CDATA[Zainil Abidin]]>;
<![CDATA[Benedika Ferdian Hutabarat]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i3.2916
<![CDATA[The management of Official Travel Letters (SPD) at the Jambi Provincial General Elections Commission (KPU) has been carried out manually, resulting in various obstacles such as late filing, data input errors, and low administrative efficiency. These problems encourage the development of an integrated digital-based system. This study aims to develop an information system for submitting and managing Official Travel Letters that meets user needs using the Design Thinking approach. The Design Thinking method used consists of five stages: empathize, define, ideate, prototype, and testing. In the empathize stage, interviews were conducted with the Jambi Provincial KPU to understand user problems, while the define stage was used to formulate the main problems and user needs. The ideate stage resulted in a solution design in the form of a mapping of features and system flows that were then developed into a web-based application prototype. The developed system provides features for submitting SPDs, verification by the PPK (Commissioner for Official Travel), recording travel history, and printing official travel receipts. Test results show that the system is able to improve the efficiency of SPD management and minimize administrative errors. Thus, the application of the Design Thinking method is effective in producing information system solutions oriented to user needs.]]>
<![CDATA[Implementasi Machine learning Untuk Pengambilan Keputusan Pada Paid Traffic Marketplace Shopee Menggunakan Analisis Komparatif Random Forest dan XGBoost ]]>
<![CDATA[Mochamad Adhari Adiguna]]>;
<![CDATA[Bambang Wisnu Widagdo]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i3.3021
<![CDATA[In today's increasingly competitive digital era, paid traffic-based marketing strategies have become one of the primary approaches to improving visibility and sales on e-commerce platforms such as Shopee. However, decision-making related to budget allocation, product selection, and advertisement targeting is still frequently performed manually based on intuition, which may result in suboptimal outcomes. This study aims to implement machine learning as a decision support system for managing paid traffic on the Shopee Marketplace. Historical advertising performance data, including click-through rate (CTR), conversion rate (CR), and return on ad spend (ROAS), were utilized to develop predictive models using the Random Forest and XGBoost algorithms. The developed models were employed to identify advertising performance patterns and provide more effective strategy recommendations based on historical data. Model evaluation was conducted using the accuracy metric to assess its capability in supporting decision-making. The experimental results indicate that the XGBoost model achieved an accuracy of 92.4%, while the Random Forest model achieved 90.8%. Based on these results, XGBoost demonstrated superior performance in supporting decision-making for paid traffic management on the Shopee Marketplace. The findings suggest that the implementation of machine learning can assist business owners in managing paid traffic campaigns more effectively, efficiently, and in a data-driven manner, thereby improving the quality of decision-making within the Shopee Marketplace ecosystem.]]>
<![CDATA[Sistem Pendukung Keputusan Alokasi Guru Berbasis Web Menggunakan Metode SAW dengan Pendekatan Bidang Keahlian ]]>
<![CDATA[Ubaydillah Ubaydillah]]>;
<![CDATA[Sefrika Entas]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 4 (2026): June 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i4.3072
<![CDATA[This study aims to develop a web-based Decision Support System to assist the allocation of teachers to subjects at Madrasah Ibtidaiyah Nurul Huda. The main problem addressed in this study is the manual teacher allocation process, which leads to subjectivity, mismatch of expertise, and imbalance in workload distribution. The system is designed to improve objectivity and efficiency in decision-making based on several criteria, namely educational background, competence, teaching experience, and teaching hour availability. The method applied in this study is the Simple Additive Weighting (SAW) method, a multi-criteria decision-making technique that calculates preference values based on predetermined criteria weights. The contribution of this study lies in the implementation of a specialization-based grouping approach in the SAW calculation process, resulting in rankings that are more relevant to subject requirements. The results show that in the general field, alternative A6 achieved the highest preference value of 0.948, while in the Islamic studies field, alternative A4 obtained a value of 0.958. The system is able to generate objective allocation recommendations and produces results consistent with manual calculations. Usability testing resulted in a score of 84.2%, which is categorized as very good, indicating that the system is feasible to support faster, more transparent, and efficient decision-making.]]>
<![CDATA[Analisis Kualitas Aplikasi Vendor Management System (VEMANIS) Terhadap Efektivitas Proses Pengadaan Barang dan Jasa dengan Metode Webqual 4.0 ]]>
<![CDATA[Hengky Hengky]]>;
<![CDATA[Ilfan Luktian Saputra]]>;
<![CDATA[Sugiyarti Soleha]]>;
<![CDATA[Sefrika Entas]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i3.3089
<![CDATA[The procurement system for goods and services in hospitals requires the support of quality applications so that the vendor management and procurement process can take place efficiently and transparently. In the implementation of the Vendor Management System (VEMANIS) at RSAB Harapan Kita, several operational problems were still found, such as inconsistencies and delays in updating vendor information, as well as inconsistent system responses in supporting the procurement process. These conditions indicate the need for system quality evaluation based on user perceptions. This study aims to analyze the effect of website quality on procurement effectiveness using the WebQual 4.0 approach which includes three main dimensions, namely Usability, Information Quality, and Service Interaction Quality. The research method used was quantitative with data collection through questionnaires to 100 VEMANIS system users. Data analysis was carried out using SPSS through validity tests, reliability tests, classical assumption tests, and multiple linear regression. The results showed that Information Quality (p = 0.030) and Service Interaction Quality (p = 0.001) had a significant effect on procurement effectiveness, while Usability* (p = 0.127) did not show a statistically significant effect. These findings indicate that the quality of information and service interactions within the system play a more dominant role in supporting procurement process effectiveness than ease of use. Therefore, improving the quality of information updates and the reliability of system service interactions are priority factors in the development of VEMANIS to support a more effective procurement process in the hospital environment.]]>
<![CDATA[Analisis Pengembangan Startup SmartWaste AI Berbasis Internet of Things dan Artificial Intelligence Menggunakan Pendekatan Mixed Methods untuk Mendukung Smart City Berkelanjutan ]]>
<![CDATA[Sri Titi Handayani]]>;
<![CDATA[Eddy Soeryanto Soegoto]]>;
<![CDATA[Tri Utomo Wiganarto]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 4 (2026): June 2026 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v5i4.3313
<![CDATA[Population growth, urbanization, and economic activities have continuously increased the volume of municipal solid waste each year, while conventional waste management systems have not been able to cope with these growing challenges. Waste bin capacity monitoring is still largely conducted manually, resulting in delays in waste collection, waste accumulation, inefficient fleet utilization, and limited use of data to support decision-making. In addition, there is no integrated system that combines real-time monitoring, data analytics, and waste volume prediction to enable more effective waste management. This study aims to analyze the current condition of waste management, identify the potential application of the Internet of Things (IoT) and Artificial Intelligence (AI), and examine the development of the SmartWaste AI startup as an intelligent waste management solution to support sustainable Smart City initiatives. The research employed a mixed methods approach using an explanatory-descriptive design. Data were collected through in-depth interviews, observations, and documentation, and subsequently analyzed using the Miles, Huberman, and Saldaña interactive analysis model, complemented by a business feasibility analysis. The results indicate that the waste management system handles approximately 75 tons of waste per month, with major challenges including increasing waste volume, limited monitoring systems, and low community participation in waste segregation. The implementation of IoT has the potential to reduce waste collection delays by up to 50% and prevent approximately three waste accumulation incidents per month, while AI is capable of predicting waste volume with an accuracy exceeding 80%. The integration of these technologies through the SmartWaste AI startup is estimated to improve operational efficiency by 27.5%, reduce waste accumulation, accelerate service delivery, and support the realization of a cleaner, smarter, and more sustainable Smart City. Therefore, SmartWaste AI has the potential to become a strategic innovation in the digital transformation of waste management systems in Indonesia.]]>
