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All Journal Indonesian Journal of Health Information Management Services (IJHIMS) Jurnal Ilmu Kesehatan dan Gizi
Yanto Haryanto
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Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Public Health Social Sciences

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EDUKASI DAN IMPLEMENTASI FITUR DETEKSI RISIKO PENYAKIT DI APLIKASI SATUSEHAT DI PUSKESMAS KESUNEAN KOTA CIREBON Khasanah, Lina; Fitria Dewi Rahmawati; Yanto Haryanto
Indonesian Journal of Health Information Management Services Vol. 5 No. 2 (2025): Indonesian Journal of Health Information Management Services (IJHIMS)
Publisher : APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/ijhims.v5i2.149

Abstract

Advances in digital technology in the health sector have created significant opportunities for health workers to enhance their ability to detect non-communicable diseases (NCDs) at an early stage. The use of the risk detection feature in the SatuSehat application at the primary service level is still limited because some officers do not understand how to use it and its benefits in promotive and preventive activities. This community service program aims to strengthen the knowledge and skills of Puskesmas staff in using the SatuSehat application as a tool for early detection of NCDs. The method employed was training with a participatory educational approach, involving the presentation of materials, live demonstrations, discussions, and evaluations through pre- and post-tests. The activity was conducted at the Kesunean Health Center in Cirebon City and involved 25 health workers. The results showed an improvement in participants’ knowledge, with the average pre-test score increasing from 79 to 90 in the post-test. Several participants were introduced to the early detection feature for the first time during the training and expressed strong interest in applying it. The training contributed to improving digital literacy among health workers and strengthening NCD prevention efforts at the primary care level.
Analisis Kepuasan Tenaga Kesehatan pada Penggunaan E-Puskesmas dengan Metode End User Computing Satisfaction (EUCS) di Puskesmas Klangenan Maelivia Azilyah; Fitria Dewi Rahmawati; Yanto Haryanto; Bhakti Aryani
Jurnal Ilmu Kesehatan dan Gizi Vol. 4 No. 2 (2026): April: Jurnal Ilmu Kesehatan dan Gizi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jig.v4i2.8917

Abstract

The implementation of digital health information systems, such as e-Puskesmas, plays an important role in supporting electronic medical records in primary healthcare facilities. However, technical constraints, including network instability and system integration issues, may affect user satisfaction among healthcare workers. This study aims to analyze healthcare workers’ satisfaction in using e-Puskesmas based on the End User Computing Satisfaction (EUCS) method. This research employed a quantitative analytic approach with a cross-sectional design, involving 35 healthcare workers at Puskesmas Klangenan using total sampling. The variables consisted of five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. Data were collected using a structured questionnaire with a Likert scale and analyzed using descriptive statistics and Spearman correlation test. The results showed that user satisfaction was categorized as very satisfied across all EUCS dimensions, with mean scores ranging from 4.11 to 4.47. All EUCS dimensions had a positive and significant relationship with user satisfaction (p < 0.05), with format and ease of use showing the strongest correlations. It can be concluded that the quality of system and information in e-Puskesmas significantly influences healthcare workers’ satisfaction, indicating the need for continuous system development to support optimal healthcare services.
Prototype Website Deteksi Dini Risiko Tumor Payudara dengan Metode Forward Chaining Farah Salsa Nabila; Yanto Haryanto; Bhakti Aryani; Fitria Dewi Rahmawati
Jurnal Ilmu Kesehatan dan Gizi Vol. 4 No. 3 (2026): Juli: Jurnal Ilmu Kesehatan dan Gizi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jig.v4i3.9040

Abstract

Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.
Pemetaan Sebaran Kasus Demam Berdarah Dengue (DBD) Menggunakan Geographic Information System (GIS) di Puskesmas Karangsari Tahun 2025 Putri Amelia; Yanto Haryanto; Bhakti Aryani; Fitria Dewi Rahmawati
Jurnal Ilmu Kesehatan dan Gizi Vol. 4 No. 3 (2026): Juli: Jurnal Ilmu Kesehatan dan Gizi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jig.v4i3.9086

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.
Co-Authors Bhakti Aryani Farah Salsa Nabila Fitria Dewi Rahmawati Khasanah, Lina Maelivia Azilyah Putri Amelia