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All Journal Jurnal Media Computer Science Jurnal Kewirausahaan dan Bisnis
Zahza Ivana Putri
Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Pemberdayaan Masyarakat melalui Program Tempat Sampah dan Apotek Hidup sebagai Upaya Mewujudkan Lingkungan Bersih dan Sehat di RT 3 RW 1 Kelurahan Sawah Lebar Yessi Indah Radianti; Zahza Ivana Putri; Jelita Puja Afrianti; Novia Azelia; Yenni Fitria; Suwarni Suwarni; Karona Cahya Susena
Jurnal Kewirausahaan dan Bisnis Vol. 8 No. 1 (2026): Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jkb.v8i1.1309

Abstract

This community service activity was carried out through the Kuliah Kerja Nyata (KKN) program in RT 3 RW 1, Sawah Lebar Village, Bengkulu City. The program aimed to improve environmental cleanliness and community health through the provision of trash bins and the development of a family medicinal plant garden (apotek hidup). The problems faced by the community included limited waste disposal facilities and the underutilization of home yards for productive purposes. The implementation method used a participatory approach consisting of observation, program planning, socialization, implementation, assistance, and evaluation. The results showed increased community awareness and participation in maintaining environmental cleanliness and utilizing home yards productively. Overall, the program contributed positively to creating a clean and healthy environment through community empowerment.
Predicting Daily Patient Visits at Community Health Centers Using Machine Learning Algorithms to Optimize Medical Staff Scheduling Zahza Ivana Putri; Edy Hermansyah; Dimas Aulia Trianggana
Jurnal Media Computer Science Vol 5 No 4 (2026): Oktober
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i4.12756

Abstract

Optimal health care at primary-level health facilities depends heavily on the readiness of human resources. At the Lempuing Community Health Center in Bengkulu, there is a significant operational imbalance due to unpredictable fluctuations in the number of daily patient visits. Medical staff scheduling has thus far been conducted conventionally without considering future trends in patient arrivals. This results in long lines on certain days, while also causing labor inefficiency during periods of low patient volume. This study employs the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. The modeling approach utilizes the Random Forest algorithm. The computational process leverages historical data on daily patient visits over the past three months, specifically from October through December 2025. In addition to building a computational prediction model, this study also integrates the forecasting results with the Standard Workload (SBK) formula. Based on the results of the Random Forest model testing, the evaluation performance showed a Mean Absolute Error (MAE) of 7.27 patients per day and a Root Mean Squared Error (RMSE) of 10.25 patients. The coefficient of determination obtained was 37.10%, which reasonably indicates the level of complexity and the highly stochastic nature of historical health data, which is susceptible to random external factors. Feature importance analysis revealed that the H-7 and H-1 Visit variables are the most dominant parameters influencing spikes in patient numbers. The system is effectively capable of transforming digital prediction figures into recommendations for medical staff allocation, ranging from 1 to 3 per day.
Co-Authors Dimas Aulia Trianggana Edy Hermansyah Jelita Puja Afrianti Karona Cahya Susena Novia Azelia Suwarni Yenni Fitria Yessi Indah Radianti