https://djournals.com/jieee <p>The Journal of Informatics, Electrical and Electronics Engineering focused on informatics, the energy system and power engineering, which is related to advance and develop technology on a wide-scope of all partial themes, but not limited. The Journal of Informatics, Electrical and Electronics Engineering ISSN <a href="https://issn.brin.go.id/terbit/detail/20210917581153233" target="_blank" rel="noopener">2807-9507 (media online)</a>, is open to submission from scholars and experts. Frequency of journal are 4 issues per year (Sep, Dec, Mar, Jun). <br />This Journal has been Indexed by: <a href="https://scholar.google.com/citations?user=QJShbR4AAAAJ&amp;hl=id">Google Scholar</a> | <a href="https://garuda.kemdikbud.go.id/journal/view/31817">Portal Garuda</a> | <a href="https://portal.issn.org/resource/ISSN/2807-9507">ROAD</a> | <a href="https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1460190">Dimensions</a> | <a href="https://sinta.kemdikbud.go.id/journals/profile/15218">SINTA 5</a></p> Forum Kerjasama Pendidikan Tinggi (FKPT) en-US Journal of Informatics, Electrical and Electronics Engineering 2807-9507 <p>Authors who publish with this journal agree to the following terms:</p> <ol> <li>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under <a href="http://creativecommons.org/licenses/by/4.0/" rel="license">Creative Commons Attribution 4.0 International License</a> that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.</li> <li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.</li> <li>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to <a href="http://opcit.eprints.org/oacitation-biblio.html" rel="license">The Effect of Open Access</a>).</li> </ol> https://djournals.com/jieee/article/view/3200 <p>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.</p> Natasya Pritasandri Sipayung Omega Rimba Gemilang Copyright (c) 2026 Natasya Pritasandri Sipayung; Omega Rimba Gemilang https://creativecommons.org/licenses/by/4.0 2026-06-21 2026-06-21 5 4 251 261 10.47065/jieee.v5i4.3200 https://djournals.com/jieee/article/view/3313 <p>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 <em>real-time</em> 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 <em>Internet of Things</em> (IoT) and <em>Artificial Intelligence</em> (AI), and examine the development of the SmartWaste AI startup as an intelligent waste management solution to support sustainable <em>Smart City</em> initiatives. The research employed a <em>mixed methods</em> approach using an <em>explanatory-descriptive</em> 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 <em>Smart City</em>. Therefore, SmartWaste AI has the potential to become a strategic innovation in the digital transformation of waste management systems in Indonesia.</p> Sri Titi Handayani Eddy Soeryanto Soegoto Tri Utomo Wiganarto Copyright (c) 2026 Sri Titi Handayani, Eddy Soeryanto Soegoto, Tri Utomo Wiganarto https://creativecommons.org/licenses/by/4.0 2026-06-30 2026-06-30 5 4 262 269 10.47065/jieee.v5i4.3313