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All Journal Action Research Literate (ARL) Jurnal Ekonomi, Teknologi dan Bisnis Blantika : Multidisciplinary Journal
Syahrul Anwar
Politeknik Siber Cerdika Internasional
Astronomy Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences

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Kepuasan Masyarakat terhadap Kualitas Pelayananan Publik berbasis Digital di Desa Citemu Kecamatan Mundu Kabupaten Cirebon Askarno, Askarno; Anwar, Syahrul; Nurwahid, Arulfalah; Anisa, Mahdania; Toto, Toto
Blantika: Multidisciplinary Journal Vol. 3 No. 6 (2025): Special Issue
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/blantika.v3i6.371

Abstract

The main purpose of this study is to analyze the extent to which village websites can increase information disclosure, increase community participation in village development, and increase community satisfaction with the services provided by the village government. This study uses a descriptive qualitative method to obtain an overview of the effectiveness of village websites in disseminating development information and the level of community satisfaction with digital services. Data was collected through a questionnaire that included closed-ended and open-ended questions, with respondents consisting of the community as service users and village officials as providers. The results showed that most people expressed "Agree" (46%) and "Neutral" (37%) for village digital services, indicating that these services are useful but not optimal. The main factors that affect public satisfaction are service accessibility, information quality, and lack of socialization and digital education. The problem of limited internet networks and low digital literacy is a challenge in the implementation of digital services. Therefore, it is necessary to improve technology infrastructure and sustainable educational programs so that the public can better understand and utilize digital services effectively
Predicting School Dropout Risk Using Machine Learning Models: A Comparative Study of Random Forest, Gradient Boosting, and Neural Network Anwar, Syahrul
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 6 (2025): JETBIS : Journal of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i6.193

Abstract

Dropping out of school is a serious challenge in the education system that negatively impacts individual and social development. Early identification of students at risk of dropping out of school is crucial to prevent its long-term impact. This study aims to develop and compare a model for predicting the risk of dropping out of school using a machine learning approach. The three models compared in the study were Random Forest, Gradient Boosting, and Neural Network, with data covering 1000 students and features such as socioeconomic status, academic performance, parental engagement, distance to school, and educational resources. The results of the evaluation showed that the Random Forest model performed best with an accuracy of 93%, followed by Neural Network (92%) and Gradient Boosting (90%). The feature importance analysis revealed that socioeconomic status, parental involvement, and academic achievement were the dominant factors in predicting the risk of dropping out. These findings demonstrate the potential of applying machine learning as an early warning system for more targeted interventions in improving student retention. Further research is recommended to include psychological variables and longitudinal data as well as develop information technology-based systems for real implementation in schools.
Perancangan Antarmuka Pada Aplikasi Simaku dengan Kansei Engineering dan AHP Anwar, Syahrul
Action Research Literate Vol. 8 No. 4 (2024): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v8i4.312

Abstract

Dalam era teknologi informasi yang krusial, Universitas Muhammadiyah Cirebon berupaya memaksimalkan penggunaan Sistem Informasi Manajemen Akademik dan Keuangan (SIMAKU). Namun, perancangan antarmuka pengguna SIMAKU masih perlu peningkatan, terutama dalam layanan kemahasiswaan. Penelitian ini bertujuan untuk merancang antarmuka yang memenuhi kebutuhan emosional pengguna dengan menggunakan pendekatan Kansei Engineering. Penelitian ini membatasi penggunaan metode Kansei Engineering tipe I (KEPack) dan analisis pada pengalaman pengguna dalam aplikasi SIMAKU di Universitas Muhammadiyah Cirebon.  Hasil penelitian menunjukkan 13 kata Kansei yang relevan untuk desain antarmuka SIMAKU, dengan faktor emosional "Futuristik" sebagai fokus utama.  Rekomendasi elemen tampilan antarmuka dihasilkan dari analisis menggunakan metode Kansei Engineering dan AHP, memastikan kesejajaran dengan preferensi pengguna dan tujuan aplikasi. Dalam ringkasan, penelitian ini menekankan pentingnya merancang antarmuka berdasarkan respons emosional pengguna dengan Kansei Engineering. Dengan demikian, aplikasi SIMAKU dapat lebih efektif memenuhi kebutuhan pengguna dan tujuan universitas.
Co-Authors Anisa, Mahdania Askarno, Askarno Nurwahid, Arulfalah Toto Toto, Toto