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All Journal Jurnal Teknologi Informasi dan Multimedia J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Journal of Community Development International Journal of Health and Information System (IJHIS) International Journal of Healthcare and Information Technology
Vestine, Veronika
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Computer Science & IT Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences

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Implementasi Metode Prototype pada Pembuatan Web Portal TEFA House of Health Promotion Vestine, Veronika; Prakoso, Bakhtiyar Hadi; Suyoso, Gandu Eko Julianto
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 1 (2024): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.498

Abstract

Health Promotion is a series of activities that strive for individuals to increase their knowledge related to health so that ultimately they can improve the quality of health. In order for the objectives of health promotion activities to be achieved, media is needed to support these activities. TeFa House of Health Promotion Polije is one of the TeFa (Teaching Factories) managed by the Health Promotion study program, Department of Health. TeFa was created as a forum for communication, information and health education, TeFa is also a means for lecturers to contribute to society by providing consultation services related to the development of public health promotion programs. To support this, a multifunctional platform is needed in the form of a webportal which is used to help TeFa. This research focuses on creating a web portal using one of the SDLC methods, namely prototype. The process of creating a web portal begins with extracting information through interviews with potential users. The results of this excavation process are information related to the features of the web portal, including articles, video, audio, pooling and chat. The process of creating a Web Portal is made using the PHP programming language and Laravel Framework. The testing process is carried out using the black box method to determine the functionality of each feature. The test results showed that the web portal was in accordance with the user's required features and each feature was functioning according to its function.
Implementasi Sleepiness EWS Pada TRC BPBD Jember Sebagai Usaha Pengurangan Risiko Kecelakaan Kerja Prakoso, Bakhtiyar Hadi; Suyoso, Gandu Eko Julianto; Vestine, Veronika; Hartanto, Sugeng; Rahagiyanto, Angga
Journal of Community Development Vol. 5 No. 1 (2024): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i1.236

Abstract

The Quick Response Team (TRC) of BPBD Jember plays an important role in disaster management. Among their emergency response activities are the mobilization of personnel for victim assistance and the distribution of aid to disaster victims. The nature of TRC's work demands both physical and mental effort. This poses a risk of work fatigue, one manifestation of which is microsleep, which can lead to traffic accidents as experienced by the TRC in 2019. The objective of this community service activity is to implement artificial intelligence that can monitor driver activity to reduce the risk of traffic accidents. The method of this service activity involves the installation of a sleepiness early warning system (EWS) in TRC BPBD Jember vehicles. The device is mounted on the dashboard, facing the driver, and powered by a 12-volt car battery. Based on interviews, the implementation of the sleepiness EWS in the operational vehicles of TRC BPBD Jember has been able to enhance driving safety by providing warnings to drivers when they begin to lose concentration, whether due to fatigue or distractions. Although there were challenges in implementing the device, such as slow response time and limited detection range, the community service team overcame these issues by recalibrating the device's response time and selecting drivers with similar anthropometric measurements to avoid the need for frequent adjustments when changing drivers.
Implementation of Risk Factor Detection System Using k-NN Method to Reduce Maternal Mortality Rate at Sumbersari Primary Health Centre Prakoso, Bakhtiyar Hadi; Yunus, Muhammad; Rahagiyanto, Angga; Vestine, Veronika; Suyoso, Gandu Eko Julianto; Deharja, Atma
International Journal of Health and Information System Vol. 2 No. 3 (2025): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v2i3.49

Abstract

The Maternal Mortality Rate has become a major issue for the Indonesian government as it can be used to measure the reproductive health level of a country. In 2023, the maternal mortality rate in Jember Regency was recorded at 150 per 100,000 live births. Sumbersari Primary Heath Centre is one of Primary Health in Jember, located in the city. Still had cases of maternal mortality, with two recorded cases The Jember Regency government has implemented various interventions, including the implementation of integrated antenatal care (ANC), the preparation of emergency obstetric and neonatal management guidelines, and collaboration with educational institutions to support pregnant women, strengthen maternal and neonatal referrals, and enhance the PONED and PONEK maternity teams. In line with these programs, there is a need for synergy in utilizing information technology to support the Jember government’s efforts to reduce maternal mortality rates through the creation of an early detection system to predict maternal deaths. This research will develop an early detection system for maternal mortality using the KNN method. The attributes used include gestational age, weight, haemoglobin, blood pressure A, blood pressure B, facial swelling, stillbirth, breech birth, bleeding during pregnancy, hydramnios, post-term pregnancy, transverse presentation, preeclampsia/eclampsia, anaemia, tuberculosis, malaria, and heart failure. The system development will utilize the prototype method. The test results show that the system can be used to predict maternal mortality with an accuracy
Optimasi Keputusan Metode Persalinan dengan Algoritma C4.5 Alfianah, Adinda Bunga; Pratama, Mudafiq Riyan; Yunus, Muhammad; Vestine, Veronika
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.4777

Abstract

In 2018, the Indonesian Ministry of Health conducted a survey revealing that the rate of deliveries via Caesarean Section (C-Section) had exceeded the WHO's maximum standard of 17.6%. At Aulia Hospital in Pekanbaru, the prevalence of C-Sections reached 76% per 1000 births, significantly higher than the international benchmark. This study aims to analyze the factors influencing delivery methods using the C4.5 algorithm. The research employs a quantitative analytic approach with Secondary Data Analysis (SDA). A dataset of 500 records with 11 variables was utilized, including maternal age, gestational age, hypertension, hemoglobin, glucose levels, delivery history, fetal position, Cephalopelvic Disproportion (CPD), premature rupture of membranes (PROM), oligohydramnios, and estimated fetal weight (EFW). The C4.5 algorithm demonstrated 92% accuracy in predicting delivery methods, with a precision of 75%, indicating its ability to correctly identify necessary C-Sections. Furthermore, it achieved a recall of 100%, reflecting its effectiveness in identifying all actual C-Section cases. The rule tree analysis highlighted delivery history as the primary determinant in selecting the delivery method. These findings are expected to support medical decision-making processes regarding delivery methods and improve the management of high C-Section rates.
Hubungan Individu, Organisasi, Psikologis Petugas Terhadap Keterlambatan Pengembalian Rekam Medis Rawat Inap Vestine, Veronika; Purbaningrum, Ajeng; Santi, Maya Weka; Ardianto, Efri Tri
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 5 No 2 (2024): March
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v5i2.5472

Abstract

The return of medical records is the process of returning patient medical records to the medical records department after being used in healthcare services. In 2023, it was found that 42% of inpatient medical records were returned on time but were incomplete, while 32% were delayed for more than 2 x 24 hours. The aim of this study is to analyze the relationship between individual, organizational, and psychological factors of staff and the delay in returning inpatient medical records at Al Huda Hospital, Banyuwangi. Data collection techniques include questionnaires and observation. The population consisted of 101 staff responsible for returning inpatient medical records, with a sample of 80 staff members. This study uses an analytical quantitative method with a cross-sectional approach and chi-square test. Bivariate analysis results showed no relationship between individual factors (knowledge) and organizational factors (leadership). However, there was a significant relationship with psychological factors (attitude) with a Sig. value of 0.001. The researcher suggests that the hospital conduct regular evaluations and provide socialization to staff regarding the return of inpatient medical records and improve staff skills and knowledge on the medical record return procedure.
A Prototype of MyoWare (Electromyography Muscle Sensor) for Measuring People’s Muscle Strengths Rahagiyanto, Angga; Suyoso, Gandu Eko Julianto; Vestine, Veronika; Iskandar, Abdullah
International Journal of Health and Information System Vol. 1 No. 1 (2023): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i1.9

Abstract

Human-Computer Interaction (HCI) becomes a solution to help humans connect with computers. Research and tools related to HCI have been developed by many researchers. HCI is able to help humans connect between humans and computers and humans with humans at a considerable distance. One of HCI model is applied to the MyoWare tool that can capture hand muscle movements using an electromyograph (EMG) sensor. This article describes how to assemble and identify the raw data generated from the MyoWare tool. Using MyoWare on the hand could produce EMG data output. MyoWare only used the EMG sensor and generated data in the form of Envelope EMG and Raw EMG which differed in scale and size. This required a extraction features process to make the data uniform. This study uses the Moment Invariant method to extract features and min-max to normalize each data generated on the MyoWare sensor. Testing was done by doing simple hand movements. The test results showed that the differences in gestures were recognized well even though they were performed in different positions.
Design of Interactive Health Promotion Portal Prototype at House of Health Promotion TeFa Prakoso, Bakhtiyar Hadi; Vestine, Veronika; Suyoso, Gandu Eko Julianto
International Journal of Health and Information System Vol. 1 No. 3 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i3.30

Abstract

TeFa House of Health Promotion at Polije is a Teaching Factory that is currently initiated by the Health Department's Health Promotion study program. This TeFa serves as a platform for health communication, information, and education, as well as a space for research and the dissemination of research findings by faculty and students. Based on the conducted situation analysis, TeFa Health Promotion House currently lacks integration of communication, information, and education media into health promotion activities. This deficiency leads to suboptimal management of health media content. The aim of this research is to create a web portal design for this problem. The method used to develop this portal design is the User-Centered Design method. The results of testing and design analysis conclude that the portal design developed aligns with user expectations. The main features include Articles, Consultations, Videos, Audio, and Polls. For further research, the design can be expanded into an application
Perbandingan Kinerja Algoritma KNN-DT-RF-SVM untuk Deteksi Dini Risiko Kematian Ibu Rahagiyanto, Angga; Prakoso, Bakhtiyar Hadi; Yunus, Muhammad; Vestine, Veronika; Suyoso, Gandu Eko Juliato; Deharja, Atma
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 2 (2025): March
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i2.5658

Abstract

Maternal Mortality Rate (MMR) in Indonesia remains a significant health issue, with data indicating a mortality rate far exceeding the Sustainable Development Goals (SDGs) target. This study aimed to explore and compare the performance of K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) algorithms in detecting maternal mortality risk. Using a medical dataset of pregnant women from Sumbersari Community Health Center, models were developed to classify three pregnancy risk categories: low risk (KRR), high risk (KRT), and very high risk (KRST). Model evaluation was conducted based on accuracy, precision, recall, and F1-score metrics. The results showed that the Random Forest algorithm achieved the highest performance with an accuracy of 76.7%, followed by Decision Tree and SVM with 70%, while KNN had the lowest accuracy at 50%. The main challenge encountered was data imbalance in the classification of very high-risk cases. This study suggests the use of data balancing methods such as SMOTE and additional data augmentation to enhance model performance. These findings can serve as a foundation for Puskesmas to implement machine learning-based early detection systems to reduce maternal mortality rates.
Analysis of Factors Causing Delays in Outpatient Medical Record Returns at Puskesmas Ajung Rahmadanti, Ainun Safira; Swari, Selvia Juwita; Nuraini, Novita; Vestine, Veronika
International Journal of Healthcare and Information Technology Vol. 2 No. 2 (2025): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v2i2.6162

Abstract

The rate of late returns of outpatient medical records at the Ajung Jember Health Center increased from 5.36% in July 2022–April 2023 to 20.07% in January–February 2024. Several factors are believed to contribute to these delays, including inadequate staff qualifications, the absence of rewards and punishments, suboptimal training, and ineffective implementation of standard operating procedures (SOPs). This study analyzes these delay factors using McCormick and Tiffin's performance theory, which considers both individual and situational factors. A qualitative research method was applied, with research subjects including the head of the puskesmas, registration officers, and other medical personnel. Data were collected through interviews, observations, and brainstorming sessions, and analyzed using data collection, data reduction, data presentation, and drawing conclusions. The results indicated that individual factors included the educational background of medical record officers and suboptimal application of punishment. Situational factors included a lack of training, inadequate SOP implementation, and ineffective expedition forms. It is expected that Puskesmas Ajung will conduct socialization with the officers involved in the return process, optimize the application of punishment, provide training related to medical record management (especially for staff involved in the return process), review the SOP, and add a borrowing date column as a monitoring tool.
Sistem Deteksi Dini Pneumonia Balita Berdasarkan Rekam Medis Menggunakan Algoritma C4.5 Melinda, Tashya Eka; Roziqin, Mochammad Choirur; Vestine, Veronika; Putra, Muhammad Ifantara
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 3 (2025): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i3.5369

Abstract

The detection of pneumonia cases in children under five at Jabung Public Health Center has not reached the targeted rate. From 2019 to 2022, the number of identified cases remained below the expected target of 4.45%. This study aimed to design and develop an early detection system for childhood pneumonia based on medical records using the C4.5 algorithm. The research applied the waterfall development method and utilised data collection techniques including interviews and document analysis. The subjects were program officers for childhood pneumonia and medical record staff, while the objects were medical records of children diagnosed with pneumonia and acute respiratory infections (ARI). System development involved several stages, starting with data preprocessing, including data cleaning, selection, reduction, and transformation. Data mining was conducted using the C4.5 algorithm with the help of RapidMiner software. The result was an early detection system tailored to the needs of Jabung Public Health Center. The system achieved an accuracy rate of 97.50% based on the confusion matrix. This system was expected to assist health workers in identifying pneumonia cases in children more effectively, thereby improving disease monitoring and early treatment efforts at the community healthcare level.
Co-Authors Adi Prasetyo Alfianah, Adinda Bunga Ardianto, Efri Tri Deharja, Atma Hartanto, Sugeng Iskandar, Abdullah maya weka santi, maya weka Melinda, Tashya Eka Mudafiq Riyan Pratama Muhammad Yunus Muhammad Yunus Nuraini, Novita Prakoso, Bakhtiyar Hadi Purbaningrum, Ajeng Putra, Muhammad Ifantara Rachmawati, Ervina Rahagiyanto, Angga Rahmadanti, Ainun Safira Roziqin, Mochammad Choirur Suyoso, Gandu Eko Julianto Suyoso, Gandu Eko Juliato Swari, Selvia Juwita