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All Journal TEKNIK INFORMATIKA Jurnal Simetris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) PROtek : Jurnal Ilmiah Teknik Elektro JOIN (Jurnal Online Informatika) Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Mantik Penusa JMM (Jurnal Masyarakat Mandiri) Krea-TIF: Jurnal Teknik Informatika JURTEKSI Jurnal Riset Informatika Jurnal Kesmas dan Gizi (JKG) Jurnal Mantik Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika C.I.T. Medicom Jurnal Pendidikan Guru (JPG) ETNIK : Jurnal Ekonomi dan Teknik
Novita Br Ginting
Universitas Ibn Khaldun Bogor
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Analysis of the Hospital Information System (SIRS) on the Performance of the Medical Record Unit at RSUD Kusmawan, Andi; Reny Aprinawaty; Novita Br Ginting
JURNAL KESMAS DAN GIZI (JKG) Vol. 8 No. 1 (2025): Jurnal Kesmas dan Gizi (JKG)
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/yegdfg12

Abstract

Background: RSUD Sultan Sulaiman in Serdang Bedagai Regency faces challenges in implementing the Hospital Information System (SIRS), particularly in the medical record unit. Although several departments have started implementing SIRS, manual record-keeping is still practiced in the medical record unit, leading to delays in patient data flow and a lack of coordination between units. Research Objectives: This study aims to analyze the implementation of SIRS at RSUD Sultan Sulaiman, focusing on the medical record unit, and to identify the factors that hinder the system's implementation. This research also provides recommendations to improve the efficiency of medical data management. Research Methodology: This research uses a qualitative approach with descriptive analysis methods. Data was collected through interviews with pharmacy officers, head of the pharmacy department, head of the medical record unit, and direct field observations. Thematic analysis was used to identify the factors hindering and benefiting the implementation of SIRS. Research Results: The implementation of SIRS has expedited administrative processes and improved coordination between units. However, challenges related to human resources, training, and inadequate hardware continue to hinder optimal implementation. Conclusion: Intensive efforts in training, provision of adequate hardware, and regular system evaluation are needed to support the optimal implementation of SIRS, which is expected to improve the efficiency of medical services at RSUD Sultan Sulaiman.
IMPROVING COMMUNITY ECONOMIC INDEPENDENCE THROUGH MSME PRODUCT DEVELOPMENT IN PADALUYU VILLAGE, CIANJUR REGENCY Br Ginting, Novita; Hartono, Rudi; Mujahidin, Endin; Rosyadi, Rahmat
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 1 (2023): MARET
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i1.1648

Abstract

To help the Cianjur district affected by the earthquake on November 21, the Directorate General of Higher Education, Research, and Technology (Ditjen Diktiristek) launched the Kampung Cekattan program (Fast, Responsive, Collaborative to Rise and Tangguh Bersama) two programs that are integrated into this program are community self-reliance activities (KKM) and kampung bangkit (KKB) activities. UIKA Bogor participates in community self-reliance activities (KKM) and kampung bangkit (KKB) activities. One of UIKA Bogor's programs is to increase the development of MSME (Micro, Small, and Medium Enterprises) products through activities to increase community economic independence through the development of MSME products in Padaluyu Village, Cugenang District, Cianjur Regency. MSMEs are assisted by as many as 3 (three) MSMEs, namely convection, dry snack culinary, and bamboo woven handicrafts. UIKA Bogor donated equipment, materials, and training to MSME actors as many as 25 packages. The purpose of this activity is to provide solutions for MSME actors affected by the earthquake to restart their businesses and be able to meet the economic needs of families so that they can be economically independent after the earthquake. The implementation team of KKM activities also ensures that the production equipment and materials submitted to MSMEs function and are used by the receiving MSMEs. Based on the results of the monitoring carried out, MSMEs in the fields of bamboo matting, culinary/street vendors, and making snack chips have used and utilized the materials and tools they have received and have returned to activities and have been able to meet the needs of their families again.
Machine Learning for the Model Prediction of Final Semester Assessment (FSA) using the Multiple Linear Regression Method Rachmawati, Fitria; Jaenudin, Jejen; Ginting, Novita Br; Laksono, Panji
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.28652

Abstract

Corona virus (COVID-19) is the reason behind the collapse of the National Assembly. The first is the Final Semester Assessment (FSA) , which is a component of the student's graduation. The aforementioned evaluation process is a crucial consideration for the teacher since it uses several intricate surveys and mark components. A prediction model is employed to assist teachers in providing suitable results for student learning. The method that is used is called the multiple linear regression. This multiple linear regression algorithm yields an accuracy level of approximately 92%. The analysis results using the method are used as a guide to understanding student’s index. This index is a rating that appears based on the Minimum Credit Count (MCC). Therefore, the goal of this study is to determine students' understanding of the FSA prediction value, which will be taken into consideration through the results of the MCC weights in the form of a range in the form of "Grade." Additionally, the research aims to determine the accuracy of the results from the model obtained using multiple linear regression algorithms in predicting students' FSA.
Co-Authors A. Rahmat Rosyadi Ahmad Hafizullah Ritonga Andi Robiyanto Annisa, Sarah Chairul Ardiyantoko Ardiyantoko Asep Syaepudin Dahlia Widhyaesteoty Dahlia Widhyaesteoty Dahlia Widhyaestoeti Dani Ramdani, Dani Deni Arsandi Dewi Primasari Dewi, Kalih Puspita Didik Setiyadi Eko Hadi Purwanto EKO WAHYUDI Endin Mujahidin Fahrezi, Muhamad Rizky Fathih Miftahul Asror Fithri Muliawati Fitria Rachmawati Frieyadie Frieyadie Gibhta Fitri Laxmi Gibtha Fitri Laxmi Gunawan, Iwon Handy Wiguna Putra Hartono, Rudi Haya Najma Husniyyah Hersanto Fajri Ilham Maulana Indriyawati, Indriyawati Jaenuddin, Jejen Jejen Jaenuddin Jejen Jaenudin Kusmawan, Andi Laksono, Panji Lely Masnita Leny Tritanto Ningrum Leny Tritanto Ningrum Leny Tritanto Ningrum Mamay Maesaroh Maulana, Diki Muhamad Alfian Yusuf Muhamad Alfian Yusup Ningrum, Leny Tritanto Noor Syarif, Zulkarnaen Reny Aprinawaty Rizky Tri Mardiansyah Ryan Abdul Gofur Safaruddin H. Al Ikhsan Sarah Chairul Annisa SITI NURJANAH Slamet Riyadi Slamet Riyadi Suratun Suratun Suratun Suratun Tohir Solehudin Virgiawan, Rivaldi Wisnu Indra Giri Wulandari, Berlina Yashintya Nelawati Yolanda Agusti Astri Yuggo Afrianto Yusup Maolani Ziyad Rais Zulkarnaen Noor Syarif Zulkarnaen Noor Syarif Zulkarnaen Noor Syarif Zulkifly Fadly Pratama