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All Journal Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Unama
Husaein, Ahmad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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Journal : Jurnal Informatika dan Rekayasa Komputer

 1 
Analisis Kepuasan Pengguna Terhadap Aplikasi Youtube Sebagai Media Pembelajaran Online Dengan Menggunakan Metode EUCS Wijaya, Andre; Husaein, Ahmad; Aryani, Lies
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.1932

Abstract

Youtube is one of the high-potential sharing platforms to become a learning media that can meet the demands of the digital generation. However, behind its potential, Youtube is also considered to have several problems, such as signal disturbances, learning tends to be one-way, and users' focus easily diverted by other contents displayed by Youtube. Based on these issues, researchers attempt to analyze the Youtube application to see the level of user satisfaction and effectiveness of the application using the End User Computing Satisfaction (EUCS) method. The EUCS method itself is an evaluation method to measure the level of user satisfaction of an information system by reviewing several aspects, such as Content, Accuracy, Format, Ease of Use, and Timeliness. Based on the analysis results, it is known that the influence of independent variables on the level of user satisfaction is 34%, with the most significant influences on the variables of Content, Format, and Timeliness, while for the Accuracy and Ease of Use variables, it is known to have no significant effect on User Satisfaction. Therefore, the Youtube application is considered to have a less effective role as an online learning media for students of Universitas Dinamika Bangsa Jambi.
Pengembangan Dashboard Pengelolaan Sampah Berbasis Komposisi Di Tempat Pembuangan Akhir (TPA): Data Visualization for Optimizing Waste Management at Landfills (TPA Syakira, Riliva; Beny Beny, Beny Beny; Husaein, Ahmad
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.2277

Abstract

Waste management is becoming an increasingly pressing global issue, especially in developing countries like Indonesia. Waste that is not managed properly can have various negative impacts on the environment. This condition is increasingly challenging, especially at the regional level, where management agencies often do not have adequate tools to analyze data comprehensively. The available data is often only stored in raw formats, such as spreadsheet files or manual reports. This not only hinders rapid analysis but also has the potential to cause errors in data interpretation. An interactive dashboard based on information technology using the Power BI platform is one relevant approach to addressing this problem which is expected to increase efficiency in data analysis and provide deeper insights through intuitive visualization. The results of this study present an interactive dashboard where waste management data can be arranged and visualized dynamically. Based on the visualized data, the largest total waste generation was found in East Java province with a total daily waste accumulation of 68.67 K with the largest average volume of waste being household waste and the largest waste composition being food waste, then the largest total managed waste was found in East Java province with a total of 14.56 M managed waste and 119.15% the highest recycling rate. The largest green open space was also found in East Java province with a green open space area of ​​1.39 M. Data from the Dashboard is expected to be useful for users, both from the government, companies, and the community, to be able to understand trends and main indicators of waste management quickly and accurately.
Co-Authors Afrizal Nehemia Toscany Anastasya, Dwi Aryani, Lies Beny Beny, Beny Beny Calista, Stephanie Chindra Saputra Gunardi Gunardi Jasmir Kurniabudi Michael Novita, Dwi Purnama, Benni Rianti Agustini, Silvia ROBY SETIAWAN Sharipuddin Syakira, Riliva Wijaya, Andre