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
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<![CDATA[Analisis Kepuasan Mahasiswa Pekanbaru Pada Aplikasi Flip dengan Metode End User Computing Satisfaction (EUCS) ]]>
<![CDATA[Anggi Widya Atma Nugraha]]>;
<![CDATA[Inggih Permana]]>;
<![CDATA[Febi Nur Salisah]]>;
<![CDATA[Tengku Khairil Ahsyar]]>;
<![CDATA[M. Afdal]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2439
<![CDATA[A Flip is a Financial Technology (fintech) company providing admin fee-free money transfer services that has been used by more than 10 million users. Along with technological developments in the financial sector, Flip must be able to compete and survive against similar service providers. Efforts that can be made to compete include measuring satisfaction levels in using Flip. The purpose of this study is to assess the level of satisfaction of Flip users so that the results of this research can be used to provide recommendations for evaluating the Flip information system. In conducting satisfaction level analysis, the End User Computing Satisfaction (EUCS) approach can be applied. EUCS is able to evaluate usage satisfaction in using information systems in the areas of content, accuracy, format, ease of use, and timeliness based on information system usage experience. The research was conducted with sample data from university student users of the Flip application in Pekanbaru City. Based on the test results, the highest result with a percentage value of 80% in the Very Satisfied category was observed in the Ease of Use variable from the Likert scale results. The average satisfaction level of Flip application users was 77% in the Satisfied category. The Classical Assumption Test results showed that in the normality test, the testing was normal, and in the multicollinearity testing, it was found that multicollinearity did not occur in the test results. In the Multiple Linear Regression Test, the variable equation result obtained was Y = 0.158 + 0.114X1 + 0.031X2 + 0.054X3 + 0.111X4 + 0.001X5. Based on the Coefficient of Determination Test results, it was found that the content variable, accuracy variable, format variable, ease of use variable, and timeliness variable were able to explain their relationship to the dependent variable and showed an influence of 53%.]]>
<![CDATA[Kombinasi Metode High Pass Filtering dan Contrast Stretching Dalam Peningkatan Detail dan Kontras Citra ]]>
<![CDATA[-, Nurhidayati]]>;
<![CDATA[Lailan Sofinah Harahap]]>;
<![CDATA[Juwita Sari]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2460
<![CDATA[Digital images have many functions in fields such as medicine, remote sensing, security, and social media, where cinematography and visual delivery are very complex. However, images often have problems with noise, blur, and low contrast. Furthermore, in an underwater image, another challenge arises because light is absorbed and scattered unevenly, which makes the image look blurry and dark. This study aims to explain the improvement of the digital image processing process in two ways, namely through High Pass Filtering and Contrast Stretching. Details and edges of the image that you want to focus on will be added with High Pass Filtering which is done through 2D FFT. While the name of the second method, namely Contrast Stretching, means clarifying the differences in objects and backgrounds by widening the range of pixel intensity. The trial was carried out on a grayscale image measuring 200x200 pixels in JPG format. The processes carried out include conversion to grayscale, high frequency, application of Low Pass Filter, and contrast stretching. Based on the processing results, the increase in image sharpness reached 35% and contrast 42% when compared to unprocessed images. These figures will then be very helpful in visual analysis and interpretation]]>
<![CDATA[Pemanfaatan Teknik Web Scraping Untuk Estimasi Tarif dan Sarana Transportasi Bus Jakarta-Malang Pada Traveloka ]]>
<![CDATA[Anjani, Dewi]]>;
<![CDATA[Novianti, Desi]]>;
<![CDATA[Bachtiar, Yogi]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2461
<![CDATA[The development of land transportation technology in Indonesia has significantly affected people's mobility. In the context of the world of land transportation, data is a valuable asset that can provide deep insights into various aspects of land transportation, from travel route planning to traffic management. By utilizing data effectively, we can build a more efficient, safe, and sustainable transportation system. Data is an important component in supporting information. Nowadays, there is a lot of data on a website that can provide us with information and insight or views on an event. Information on a website is not only about one or two pieces of information but can also be a collection of data that is collected and requires further analysis. One way to collect data and information from a website is with web scraping techniques. Researchers want to apply this web scraping technique to analyze the estimation of fares and transportation facilities for the Jakarta-Malang bus. The goal is to find out the ideal fare and transportation advice as a support for a mature travel plan. The result If we want to travel from Jakarta to Malang using land transportation, there are 14 PO. Buses are available as options with various classes and departure times. Bus fares offered vary from Rp. 325,500 to Rp. 700,000.]]>
<![CDATA[Pengukuran Retensi Pelanggan Insyira Oleh-Oleh Berdasarkan Analisis Sentimen Pengguna Instagram ]]>
<![CDATA[Fiki]]>;
<![CDATA[Inggih Permana]]>;
<![CDATA[Febi Nur Salisah]]>;
<![CDATA[Eki Saputra]]>;
<![CDATA[Arif Marsal]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2473
<![CDATA[Instagram as a social media platform has opened new opportunities for businesses to market their products creatively and efficiently. Through interactive features such as the comments section, users can express their opinions about the products or services offered. These comments contain sentiments that can be analyzed to understand customer perceptions. This study aims to measure customer retention using sentiment analysis of Instagram user comments. The comment data was collected using web scraping techniques from the Instagram page, followed by labeling using a lexicon-based approach and sentiment classification into positive, negative, and neutral categories through sentiment analysis. This analysis is linked to the concept of customer retention, which is an important strategy for maintaining long-term relationships with consumers. Furthermore, the results of customer retention analysis in this study show that positive sentiment has a retention rate of 53.4% (303 out of 567 comments), neutral sentiment 6.9% (45 out of 650 comments), and negative sentiment 15.1% (22 out of 146 comments). Overall, 370 out of 1,363 comments, or 27.1%, were categorized as contributing to retention. In terms of the proportion of sentiment contributing to total retention, positive comments dominate with 81.9% (303 out of 370). These findings suggest that although neutral comments are the most frequent, positive sentiment contributes the most to customer retention. This indicates that positive sentiment is a strong predictor of customer loyalty, highlighting the importance for companies to foster positive experiences through quality products, reliable services, and active engagement on social media. Insyira is capable of maintaining customer retention, especially from those who express positive sentiment, which reflects satisfaction with its products, services, and interactions on social media]]>
<![CDATA[Pengukuran Akuisisi Pelanggan Insyira Oleh-Oleh Berdasarkan Analisis Sentimen Pengguna Instagram ]]>
<![CDATA[Wira Mulia, M. Roid]]>;
<![CDATA[Inggih Permana]]>;
<![CDATA[Febi Nur Salisah]]>;
<![CDATA[Eki Saputra]]>;
<![CDATA[Arif Marsal]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2472
<![CDATA[Social media, especially Instagram, has transformed how businesses interact with customers and market products. However, there remains a literature gap regarding customer acquisition measurement through sentiment analysis of Instagram comments. This research aims to measure customer acquisition at Insyira Oleh-Oleh Pekanbaru by analyzing 1,363 comments from May 2024 to May 2025 using Python-based Natural Language Processing (NLP). The results show neutral sentiment dominates (47.7%) with the highest acquisition rate (50.9%) - meaning every 2 neutral comments yield 1 acquisition - compared to positive (37.7%) and negative comments (41.8%). The Chi-square test confirms the significant relationship between sentiment and acquisition (?²=21.78; p<0.0001), while (OR=0.58; CI[0.46,0.73]) indicates positive comments have 42% lower acquisition probability than neutral ones, forming triangular consistency that eliminates doubts. Negative sentiment also yields higher acquisition than positive sentiment, challenging the assumption that positive comments are most effective for acquisition. This reveals neutral comments containing product inquiries have greater acquisition potential. The study provides new insights for digital marketing strategy, emphasizing the importance of quick responses to neutral comments to enhance new customer conversion.]]>
<![CDATA[Evaluasi Kesiapan Calon Mahasiswa Terhadap Teknologi Sistem Pendaftaran Online Dengan Pendekatan Technology Readiness Index ]]>
<![CDATA[Naufal Fikri, R. Adlian]]>;
<![CDATA[Permana, Inggih]]>;
<![CDATA[Nur Salisah, Febi]]>;
<![CDATA[Saputra, Eki]]>;
<![CDATA[Marsal, Arif]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2481
<![CDATA[This study aims to evaluate the technological readiness of prospective students in using the online registration system facilitated by LPSDM Aparatur, employing the Technology Readiness Index (TRI) approach. TRI comprises four key dimensions: Optimism, Innovativeness, Discomfort, and Insecurity, which measure an individual's readiness to adopt new technologies. The research objects are newly enrolled students who registered through the online system provided by LPSDM Aparatur at two partner universities: Universitas Ekasakti and Universitas Nurdin Hamzah. The research uses a descriptive quantitative method with a proportional stratified sampling technique. The sample size of 43 respondents—28 from Universitas Ekasakti and 15 from Universitas Nurdin Hamzah—was determined using the Slovin formula. Data were collected using Likert scale-based questionnaires and analyzed with SPSS version 20 through validity and reliability tests, as well as descriptive statistical analysis. The findings reveal that the overall level of technological readiness is high, with a TRI score of 4.49 for Universitas Ekasakti and 4.36 for Universitas Nurdin Hamzah, both exceeding the threshold for the “high” category (>3.51). Students from Universitas Ekasakti scored highest in the Innovativeness dimension (1.11), indicating a strong tendency to try and adopt new technologies. In contrast, students from Universitas Nurdin Hamzah scored relatively high in negative dimensions, namely Insecurity (1.162) and Discomfort (1.08), suggesting psychological barriers and discomfort in using the online registration system. The study recommends training, socialization, and system simplification to ensure inclusivity and accessibility for users from diverse backgrounds. Academically, this research expands the application of TRI in the context of online-based rural education. Practically, it offers a foundation for LPSDM to develop targeted training and outreach strategies for students in regions with lower readiness levels]]>
<![CDATA[Perancangan dan Pengembangan Aplikasi Absensi Berbasis Kotlin yang Terintegrasi dengan Website Backoffice Menggunakan Rest API Laravel ]]>
<![CDATA[Arkan, Faiz]]>;
<![CDATA[Aziz Zuama, Robi]]>;
<![CDATA[Setia Budi, Eko]]>
<![CDATA[ Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/jieee.v4i4.2491
<![CDATA[The attendance system is a fundamental aspect of managing employee presence in both corporate and educational institutions. Conventional methods that rely on manual attendance, such as paper-based records or spreadsheets, have numerous limitations. These weaknesses include susceptibility to data manipulation, time-consuming data recap processes, and lack of system integration. This study develops a digital attendance system based on Android using the Kotlin programming language, integrated with a BackOffice website through a REST API built on Laravel. The development methodology used is the Waterfall model, which is systematic and well-suited for projects with clearly defined requirements. The REST API serves as a communication bridge between the mobile application and the web system, utilizing the JSON format over the HTTP protocol. System testing results show that the application can manage attendance data in real-time, automatically validate location, and provide a web interface for administrators to monitor employee attendance. The system also integrates the Google Drive API to store photo evidence of attendance in a cloud-based environment. Through this approach, the study contributes to the development of an efficient, transparent, and scalable attendance system.]]>
