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All Journal Jurnal Administrasi Bisnis Jurnal Sistem Informasi Galuh
Sukoco, Lisda
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Computer Science & IT Economics, Econometrics & Finance

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PERANCANGAN SISTEM INSENTIF DOKTER SPESIALIS BERBASIS KINERJA PELAYANAN BPJS KESEHATAN DI RUMAH SAKIT CAHYA KAWALUYAN Goey, Hendra William; Talim, Margaretha Banowati; Sukoco, Lisda
Jurnal Administrasi Bisnis Vol. 20 No. 1 (2024)
Publisher : Business Administration Department - Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jab.v20i1.8813.40-54

Abstract

Hospitals in the National Health Insurance (JKN) era face challenges due to the shift in payment methods from retrospective (Fee for Services) to prospective (case-based payment). This change drives efficiency improvements without compromising service quality.This study formulates a performance-based incentive system for specialist doctors to enhance the efficiency and quality of BPJS Kesehatan patient services at RS Cahya Kawaluyan. Using a case study approach and both quantitative and qualitative analysis methods, the incentive system is designed with the Ongoing Professional Practice Evaluation (OPPE) as a performance measurement tool.The study results propose an incentive system based on individual performance, measurable indicator-based evaluations, periodic payments, and collaboration between the Medical Committee and the Human Resources Department. Doctors' performance is assessed using nine key indicators, with patient satisfaction and regulatory compliance being the most crucial indicators.To enhance the effectiveness of the incentive system, regular patient satisfaction surveys, regulatory compliance monitoring, and improved time management for doctors are recommended. System optimization can be achieved through integration with the hospital information system, strengthening interdepartmental collaboration, and conducting socialization and training programs. System implementation is expected to drive efficiency, motivation, and improved service quality among specialist doctors at RS Cahya Kawaluyan
PERANCANGAN SISTEM INSENTIF DOKTER SPESIALIS BERBASIS KINERJA PELAYANAN BPJS KESEHATAN DI RUMAH SAKIT CAHYA KAWALUYAN Goey, Hendra William; Talim, Margaretha Banowati; Sukoco, Lisda
Jurnal Administrasi Bisnis Vol. 20 No. 1 (2024)
Publisher : Business Administration Department - Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jab.v20i1.8813.40-54

Abstract

Hospitals in the National Health Insurance (JKN) era face challenges due to the shift in payment methods from retrospective (Fee for Services) to prospective (case-based payment). This change drives efficiency improvements without compromising service quality.This study formulates a performance-based incentive system for specialist doctors to enhance the efficiency and quality of BPJS Kesehatan patient services at RS Cahya Kawaluyan. Using a case study approach and both quantitative and qualitative analysis methods, the incentive system is designed with the Ongoing Professional Practice Evaluation (OPPE) as a performance measurement tool.The study results propose an incentive system based on individual performance, measurable indicator-based evaluations, periodic payments, and collaboration between the Medical Committee and the Human Resources Department. Doctors' performance is assessed using nine key indicators, with patient satisfaction and regulatory compliance being the most crucial indicators.To enhance the effectiveness of the incentive system, regular patient satisfaction surveys, regulatory compliance monitoring, and improved time management for doctors are recommended. System optimization can be achieved through integration with the hospital information system, strengthening interdepartmental collaboration, and conducting socialization and training programs. System implementation is expected to drive efficiency, motivation, and improved service quality among specialist doctors at RS Cahya Kawaluyan
Analisis Prediksi Kadar CO₂ (PPM) Berdasarkan Suhu Dan Kelembapan Menggunakan Sensor DHT22 Dan MQ135 Dengan Perbandingan Model Machine Learning Berbasis IoT Pada ESP32 Agung Suburdjati, Bacilius; Sukoco, Lisda; Cedric, Xavier
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5726

Abstract

This study aims to analyze and predict carbon dioxide (CO₂) concentration in parts per million (PPM) based on temperature and humidity using DHT22 and MQ135 sensors integrated with an ESP32 microcontroller as an Internet of Things (IoT) system. Data were collected in two measurement sessions. The first session was conducted from 16:00 to 20:00 with a one-second sampling interval, during which significant spikes occurred due to exposure to insecticide fumes. The second session was carried out from 00:00 to 08:00 with a two-second sampling interval, producing approximately 13,000 more stable data points suitable for machine learning analysis. The collected data were processed using several machine learning algorithms, including Linear Regression, Random Forest, CatBoost, LightGBM, XGBoost, and Neural Network (Keras). The results indicate that the CatBoost model achieved the best performance, with an accuracy of 98.9%, a Mean Absolute Error (MAE) of 2.75, and a Mean Relative Error (MRE) of 1.08%. This study demonstrates that an ESP32-based IoT implementation using integrated gas and temperature sensors can be utilized as a simple air quality prediction system and serve as a foundation for developing future intelligent environmental monitoring devices.
Co-Authors Agung Suburdjati, Bacilius Cedric, Xavier Goey, Hendra William Talim, Margaretha Banowati