Article Per Year (5 Year)
p-Index From 2021 - 2026
4.168
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Kesehatan Suara Forikes Jurnal Kesehatan Komunitas Conference on Innovation and Application of Science and Technology (CIASTECH) JI-KES (Jurnal Ilmu Kesehatan) Jurnal Ilmiah Kesehatan Media Husada INTERNATIONAL JOURNAL OF NURSING AND MIDWIFERY SCIENCE (IJNMS) JAIM (Jurnal Abdi Masyarakat) Jurnal Pengabdian Masyarakat dalam Kesehatan Jurnal Kesehatan Tambusai Journal of Community Development Media Husada Journal Of Nursing Sciences Jurnal Ilmu Kesehatan Insan Sehat Midwinerslion : Jurnal Kesehatan STIKes Buleleng Journal of Applied Nursing and Health Nursing Information Journal Journal of Scientific Research, Education, and Technology Indonesian Nursing Journal of Education and Clinic (Jurnal Pendidikan dan Praktik Keperawatan Indonesia) Media Husada Journal of Community Service The Journal of Nursing and Midwifery Sciences International Journal of Health and Information System (IJHIS) Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health JI-KES (Jurnal Ilmu Kesehatan)
Wicaksono, Kurniawan Erman
Health Major, Politeknik Negeri Jember, Jember, East Java, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Digital Transformation of Health Services in Indonesia Through the Utilization of Artificial Intelligence, Big Data, and Telemedicine: Systematic Literature Review-VOSviewer Salihati Hanifa; Kurniawan Erman Wicaksono
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 5 No. 1 (2025): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v5i1.270

Abstract

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context.
Determinants of Health Data Utilization by Posyandu Cadres for Toddlers as a Stunting Prevention Effort in Geneng Subdistrict, Ngawi Regency Kurniawan Erman Wicaksono; Sena Wahyu Purwanza; Ida Nurmawati; Salihati Hanifa; Ika Arum Dewi Satiti
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 5 No. 1 (2025): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v5i1.272

Abstract

Stunting remains one of the major public health issues at the national level in Indonesia. As an archipelagic country, Indonesia faces unique challenges in tackling stunting, particularly in regions with limited access to healthcare services. Advances in information technology offer new opportunities to support stunting prevention efforts, including through the utilization of health data. Such data can be used to detect stunting risks early and to monitor children's nutritional status more effectively. The use of health data applications or systems by Posyandu cadres is influenced by various factors, including availability of time, cost, level of trust, and perceptions of ease of use and usefulness. This study aims to identify the determinants of health data utilization by Posyandu cadres for toddlers as a stunting prevention effort in Geneng Subdistrict, Ngawi Regency. This research is an analytical quantitative study with a cross-sectional approach. A sample of 80 Posyandu cadres for toddlers in Geneng Subdistrict was selected using purposive sampling. Data were collected through questionnaires and analyzed using univariate, bivariate, and multivariate logistic regression tests to identify the factors influencing the use of health data in stunting prevention. The results show that the significant determinants include the age of the Posyandu cadre, their education level, and the amount of time they dedicate to Posyandu activities. The determinants of age, education level, and time significantly influence the utilization of health data and thereby affect the optimization of stunting prevention. Strengthening cadre capacity in these aspects is necessary to support more effective stunting prevention.
Digital Transformation of Health Services in Indonesia through the Utilization of Artificial Intelligence, Big Data, and Telemedicine: Systematic Literature Review-VOSviewer Salihati Hanifa; Kurniawan Erman Wicaksono
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 5 No. 1 (2025): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v5i1.280

Abstract

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The findings highlight that digital healthcare transformation has increasingly evolved from emergency responses to COVID-19 into a strategic framework for long-term system improvement. Moreover, AI and big data have played pivotal roles in enhancing diagnostics, predicting outbreaks, and improving resource allocation. However, concerns related to privacy, digital literacy, and unequal technological access remain prominent. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context, especially in low- and middle-income countries like Indonesia.
Inaccuracy Analysis of Diagnosis Code of Disease in Medical Records with SIMPUS at Purwoharjo Public Health Center Ida Nurmawati; Sulandari Sulandari; Ervina Rachmawati; Dony Setiawan; Kurniawan Erman Wicaksono; Ikha Nurjihan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 4 No. 1 (2024): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v4i1.73

Abstract

The inaccuracy of the disease diagnosis code is one of the problem affecting the quality of health services. Based on the preliminary result, 89 outpatient diagnosis codes in a medical record found 30 inaccuracies data from SIMPUS result of general poly at Purwoharjo Health Center. The impact of this inaccuracy has been influenced by the accuracy of disease data that resulted from making report data. The purpose of this study was to analyze the inaccuracy of disease diagnosis codes for outpatient medical records with SIMPUS at Purwoharjo Public Health Center. It was a descriptive study with observation, interviews, and documentation data collection. The object of this study was 95 outpatient medical records with simple random sampling. The result of this research was found 42% inaccuracy code of outpatient medical records with SIMPUS. The cause of these problems was the coder less careful in enforcing the disease diagnosis code because of the high workload of the coder and there’s no job description in SOP, so the advice that can be given to Purwoharo Health Center is to hold a division of tasks evenly and can be written in the SOP job description.
The Use of Manajemen Nutrisi Balita Stunting (MNBS) Smartphone Application as an Educational Media on Maternal Knowledge and Attitudes in Preventing Stunting in Geneng District Ngawi Regency Kurniawan Erman Wicaksono; Sena Wahyu Purwanza; Ika Arum Dewi Satiti; Ida Nurmawati; Ikha Nurjihan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 4 No. 1 (2024): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v4i1.87

Abstract

Stunting indicates a high prevalence of nutritional deficiencies that have not yet reached reduction targets, as seen in Geneng District, Ngawi Regency. Maternal knowledge and attitudes are crucial factors in preventing stunting and can influence mothers' behaviors in ensuring nutrition for toddlers. Manajemen Nutrisi Balita Stunting (MNBS) is an innovative intervention designed to address specific nutritional needs. It was developed into a smartphone application that serves as an educational tool to prevent stunting issues. This study aims to analyze the impact of MNBS on maternal knowledge and attitudes towards stunting prevention. This study used a one-group pretest-post-test design approach. Sampling was conducted using simple random sampling involving 30 respondents. Inclusion criteria for this research included mothers with toddlers experiencing malnutrition, owning a smartphone, and being willing to participate in the study until completion. The research results indicate that maternal knowledge and attitudes towards preventing stunting improved after receiving education through Manajemen Nutrisi Balita Stunting (MNBS) smartphone application. Manajemen Nutrisi Balita Stunting (MNBS) Smartphone Application has an impact as an educational medium on maternal knowledge and attitudes toward preventing stunting.
Co-Authors Ahmad Guntur Ahmad Guntur Ahmad Guntur Alfianto Dea Adesti Enofani Dea Adesti Enofani Dony Setiawan Hanifa, Salihati Harningtyas, Sismala Ida Nurmawati Ida Nurmawati, Ida Ikha Nurjihan Indriyawati Irma Wulandari Irma Wulandari Mizam Kurniyanti Nafolion Nur Rahmat Nafolion Nur Rahmat, Nafolion Nur Nur Rahmat, Nafolion Rachmawati, Ervina Reny Tri Febriani Salihati Hanifa Satiti, Ika Arum Dewi Savitri Universitari, Pascawati Sena Wahyu Purwanza, Sena Wahyu Siti Muthmainnah Sulandari Sulandari Supriyanto, Budi Fajar Ulfa, Miftakhul Veni Eka Septiyana Hidayanti Yohanis Dodok Yohanis Dodok