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All Journal Riau Journal of Computer Science Jurnal Kesehatan Komunitas Ensiklopedia of Journal Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Kesehatan Terpadu (Integrated Health Journal) Al-Tamimi Kesmas: Jurnal Ilmu Kesehatan Masyarakat (Journal of Public Health Sciences) JTIM : Jurnal Teknologi Informasi dan Multimedia Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Jurnal Informasi dan Teknologi Journal of Robotics and Control (JRC) PREPOTIF : Jurnal Kesehatan Masyarakat Journal of Applied Engineering and Technological Science (JAETS) Community Engagement and Emergence Journal (CEEJ) Jurnal Ilmu Komputer Journal of Applied Data Sciences Jurnal Media Kesmas (Public Health Media) Jurnal Olahraga dan Kesehatan (Orkes) Jurnal Farmasi Indonesia RJOCS (Riau Journal of Computer Science) Media Penelitian dan Pengembangan Kesehatan
Devis, Yesica
Universitas Hang Tuah Pekanbaru
Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences

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HUBUNGAN BEBAN KERJA DENGAN KINERJA TENAGA KEPERAWATAN Ridwan, Junaina; Hartono, Budi; Devis, Yesica; Susmaneli, Herlina; Herniwanti, Herniwanti
Media Penelitian dan Pengembangan Kesehatan Vol. 33 No. 3 (2023): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v33i3.1692

Abstract

Workload is an important concern for the nursing profession which will have an impact on the performance of nursing staff in providing nursing services. This study aims to determine the results of measuring workload and performance of nursing staff in the Outpatient Installation of Dumai City Regional Hospital. The research method was quantitative with a cross-sectional study design. The research was conducted at the Dumai City Hospital Outpatient Installation from June-July 2023. The population of this study was 33 people, the sample used was 33 respondents taken using the total sampling technique. Workload measurement is carried out using the work sampling method through observation. Performance is obtained using secondary data. The data analysis used was univariate analysis and bivariate analysis with Pearson correlation, chi-square and linear regression on work sampling variables only. The research results showed that the calculation of heavy workload in orthopedic and neurosurgery clinics was 93.75%. With direct productive activities in wound care (19.23%) and indirect productive activities in completing the SPPK (Proof of Health Services) (13.01%). Nursing staff with a heavy workload was 27.28%, and a light workload was 72.72%. Nursing staff with good performance was 75.8% and very good 24.2%. There is no relationship between workload and the performance of nursing staff (p-value= 1.000, OR=0.750). Research Ethics Pass Letter Number: 145/KEPK/UHTP/VI/2023 dated June 19 2023. Evaluation and restructuring of work systems include reducing unproductive workloads, adjusting working hours, or allocating resources more efficiently and training and competency development of nursing staff.
Analisa Faktor Waktu Tunggu Pelayanan Resep di Rumah Sakit Pekanbaru Medical Center Mulya, Adrian; Ennimay, Ennimay; Devis, Yesica
JFIOnline | Print ISSN 1412-1107 | e-ISSN 2355-696X Vol. 15 No. 1 (2023): Jurnal Farmasi Indonesia
Publisher : Pengurus Pusat Ikatan Apoteker Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.541 KB) | DOI: 10.35617/jfionline.v15i1.141

Abstract

Abstract: The results of the Walk Through Audit (WTA) BPJS stated that the waiting time for talking out the drugs at the Pekanbaru Medical Center Hospital was one of the factors for the lateness of services to patients. After conducting a preliminary study, the data was found that the waiting time for taking out the drugs was over than minimum value of Standard Service. The purpose of this study was to analyze the factors that affected the waiting time for outpatient prescription drug services at Pekanbaru Medical Center Hospital. This study used a combination method (Mixed-Methods Sequential Explanatory Design), namely by combining quantitative and qualitative descriptive methods. From 70 samples obtained quantitative research data for type of patient, type of prescription, number of items in prescription, number of prescriptions in shifts and number of prescriptions based on drug availability which were  not factors that affected the waiting time for outpatient drug prescription services, this was based on the test All Chi-Square values ​​> 0.05, this meant that Ho was rejected or in other words it was not proved related to the waiting time of service. On the other hand the qualitative research with in-depth interviews and observations resulted in insufficient number of human resources, lack of human resource competence, unclear service process flow, inadequate facilities and infrastructure, especially the Sim-PEC network system and pharmacy installation room layout which haven’t fulfilled the standard caused the lateness of services or the length duration of waiting time for outpatient drug service became longer.
FAKTOR YANG BERHUBUNGAN DENGAN KECELAKAAN KERJA PADA PETUGAS PEMADAM KEBAKARAN DI KOTA PEKANBARU Muawwanah, Sholihatun; Syukaisih, Syukaisih; Muhamadiah, Muhamadiah; Devis, Yesica; Suherman, Suherman
Ensiklopedia of Journal Vol 7, No 4 (2025): Vol. 7 No. 4 Edisi 1 Juli 2025
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v7i4.3189

Abstract

Occupational accidents experienced by firefighters can have serious impacts on their safety. Therefore, understanding the factors that influence the risk of occupational accidents is crucial. This study aims to identify the factors associated with occupational accidents among firefighters in Pekanbaru City in 2025.This research uses a quantitative method with a cross-sectional design. A total of 163 respondents were selected from a population of 277 firefighters using a proportional random sampling technique. The independent variables in this study include supervision, behavior, the implementation of Standard Operating Procedures (SOP), and the availability of Personal Protective Equipment (PPE). Data were collected through questionnaires and analyzed using the Chi-Square test. The results show a significant relationship between supervision and the incidence of occupational accidents (p-value = 0.0010, POR = 2.661), as well as the availability of PPE (p-value = 0.000, POR = 5.516). Meanwhile, no significant relationship was found between behavior and SOP implementation with the incidence of occupational accidents. Effective supervision and the adequate availability of PPE play a vital role in reducing the risk of occupational accidents among firefighters.The findings of this study are expected to serve as a basis for the Fire Department of Pekanbaru City in developing programs to improve occupational safety and to provide recommendations regarding training and the optimal provision of protective equipment. Keywords: Supervision, Behavior, SOP, Availability of PPE, Firefighters
Non-Medical Goods Logistics Management at Annisa Maternity and Child Hospital, Pekanbaru, 2024: Manajemen Logistik Barang Non Medis di Rumah Sakit Ibu dan Anak Annisa Pekanbaru Tahun 2024 Sando, Welly; Wahyudi, Arif; Devis, Yesica; Sonia P, Lam
Jurnal Olahraga dan Kesehatan (ORKES) Vol. 4 No. 2 (2025): Jurnal Olahrga dan Kesehatan (ORKES)
Publisher : Badnur Medisa Group

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Non-medical logistics as supporting equipment in perfecting and completing services at the Hospital that are beneficial for patients and Hospital employees. Hospital logistics has functions that are summarized in the logistics cycle including planning, procurement and storage. The planning process has been said to be going well because it has been carried out in accordance with existing procedures, however, in the procurement and storage process there are obstacles that have not been implemented effectively. So it is interesting for researchers to look at the logistics management of non-medical goods at RSIA Annisa. The aim is to determine the logistics management of non-medical goods at the RSIA Annisa Pekanbaru in 2024. The method used is descriptive qualitative research. The research was carried out in April-May 2024 at the RSIA Annisa. The informants in this research were 5 people consisting of the Financial Manager, Logistics Coordinator, PJ Logistics, Secretariat and Spirituality, and PJ IPSRS. The results of this research show that the logistics management of non-medical goods at the RSIA Annisa in terms of human resource input is still insufficient, facilities and infrastructure are still inadequate. The planning process has gone well, the procurement process has gone well but there are still obstacles to stock shortages, the storage process has gone well but the warehouse storage space is still insufficient. Existing obstacles still need to be evaluated to improve better logistics management of non-medical goods in the general support section and non-medical logistics warehouse at the RSIA Annisa Pekanbaru.
Optimization of Machine Learning Models for Risk Prediction of DHF Spread to Support Management Strategies in Urban Areas Devis, Yesica; Muhamadiah, Muhamadiah; Yulanda, Yulanda; Irawan, Yuda; Wahyuni, Refni
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.898

Abstract

Dengue fever is an endemic disease that poses a serious threat to public health in tropical regions such as Indonesia. Efforts to control this disease require a data-based approach that is able to accurately predict the level of risk so that interventions can be targeted. This study aims to develop a predictive model of DHF risk using ensemble stacking method optimized with Optuna algorithm and integrated into an interactive dashboard based on Streamlit. The dataset used includes environmental, climate, and socio-demographic indicators from 2015 to 2024 with a total of 1,440 data entries. The preprocessing process includes normalization with Standard Scaler, feature selection using LASSO, and label data balancing with the SMOTE method. Model validation was performed using 10-Fold Cross Validation to ensure model generalization to new data. The stacking model is built with three basic algorithms, namely SVM, KNN, and Random Forest, which are combined using Logistic Regression as a meta-learner. The evaluation results show that the model is able to achieve an average accuracy of 97.57%, with high precision, recall, and f1-score values in all three prediction classes (low, medium, high). The ROC-AUC for each class also showed near-perfect performance. The implementation of the model in the Streamlit dashboard allows non-technical users such as health center or health office staff to perform regional risk prediction and obtain data-driven intervention recommendations automatically. This research not only contributes to the development of predictive technology, but also strengthens evidence-based health promotion practices in urban areas. Further research is recommended to integrate IoT-based real-time data and expand the scope of application areas.
Co-Authors Abdurrahman Hamid Afni Handayani Aldiga Rienarti Abidin Alhidayati, Alhidayati Alhidayati, Alhidayati Amalia, Risa Anggri Nurkumala Asih Anita Febriani arief wahyudi Arif Wahyudi Bakhrizal Budi Hartono Budi Hartono Candra, Leon Elmia Kursani Elsa Rosanti Ennimay, Ennimay Fahruzi ZA Firda Resty Hamid, Abdurrahman Hayatul Husna Hayatul Husna Herlina Susmaneli Herman M. Purwonegoro Herniwanti Herniwanti Kiki Megasari, Kiki Leon Candra Leonita, Emy M. Farhan Maulan Farha Maharani, Riri Marlina, Hastuti Maulana, M. Farhan Melnia Anisya Meriwati Mahyudin Mitra Mitra Muawwanah, Sholihatun Muhaimin, Abdi Muhamadiah Muhamadiah Muhamadiah, Muhamadiah Muhammad Musthofa Hilmi Musthofa Muhardi Muhardi Muhardi Mulya, Adrian Noveana Putri, Anisa Nurwahidah Nurwahidah Putri, Sentika Nelta Rahmalisa, Uci Rahmi Oetari Refni Wahyuni Renaldi, Reno Ridwan, Junaina Riri Maharani Sakroni Indra Gunawan Sandhi Meiga Putra Sando, Welly Saputra, Guruh Siti Khanifaturrohmah Sonia P, Lam Suherman, Suherman Syukaisih Syukaisih Syukaisih Syukaisih, Syukaisih Taman Yani Tri Krianto Karjoso Welly Sando Widodo, M.Dedi Yendri, Naspi YOLA FEBRINA Yuda Irawan Yulanda, Yulanda Yurmida, Yurmida Yusmaini, Yusmaini