Claim Missing Document
Check
Articles

Found 39 Documents
Search

KOMUNIKASI EFEKTIF DAN SISTEM INFORMASI GEOGRAFIS PADA TENAGA KESEHATAN PROGRAM PENGELOLAAN PENYAKIT KRONIS KABUPATEN SEMARANG Wulan, Widya Ratna; Pantiawati, Ika; Kusuma, Edi Jaya
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.v5i2.139

Abstract

Effective communication training for Prolanis health workers is essential to improve the quality of interactions between health workers and patients. Good communication can influence patients' adherence to medication, understanding of their health condition, and following the chronic disease management program with discipline. In addition, Geographic Information System (GIS) training is becoming increasingly relevant in the context of Prolanis. By utilizing GIS, health workers can more effectively map the distribution of chronic diseases in Semarang Regency. This mapping aids in evidence-based decision-making, allowing health resources to be allocated more efficiently. GIS enables the identification of areas with high disease prevalence, so that interventions can be focused on areas that require more attention. It also supports preventive efforts to curb the increase in chronic disease cases. The implementation of Effective Communication and Geographic Information System (GIS) training for Prolanis health workers in Semarang Regency has several strategic objectives, both in the context of increasing the competence of health workers, strengthening the health service system, and contributing to the Merdeka Learning Campus Merdeka (MBKM) program, the Main Performance Indicators (KPI) of higher education, and the focus of community service.
Determinant Factors Of Caesarean Section Delivery In Central Java (SDKI Data Analysis) Wibowo, Syifa Sofia; Wulan, Widya Ratna; Wulandari, Respati; Pantiawati, Ika; Salsabila, Dinar Indri Bakti
International Journal of Health Literacy and Science Vol. 3 No. 2 (2025): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v3i2.95

Abstract

Central Java Province continues to hold the third-highest MMR in Indonesia as of 2023. Caesarean section births are maternal services associated with rates of maternal and newborn morbidity and mortality. The purpose of this study is to examine the factors influencing Caesarean section births in the province of Central Java. The 2017 Indonesian Demographic Health Survey (IDHS) provided the data used in this investigation. 1,060 data were gathered after sorting, and total sampling was employed. SPSS was used to analyze the data, utilizing the frequency distribution for univariate analysis and the Pearson Product Moment test for bivariate analysis. Mothers between the ages of 26 and 28 who have two children, have not given birth in the past year, have a middle-class income, have no problems during childbirth, have neither high blood pressure nor low blood pressure, and whose kids are not breech are the data mode based on study data. Every circumstance influences the decision to use a caesarean section as a delivery procedure. The family's financial situation has the biggest impact on the variable of caesarean delivery.
Telemedicine and Preventive Behaviors in Type 2 Diabetes: A Prolanis Study in Semarang, Indonesia WULAN, WIDYA RATNA; Pantiawati, Ika; Widianawati, Evina; Wulandari, Fitria
Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Vol. 14 No. SI1 (2026): Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Educat
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jpk.V14.ISI1.2026.80-85

Abstract

Background: Type 2 Diabetes Mellitus (T2DM) represents an increasing public health challenge in Indonesia, placing considerable pressure on the country healthcare infrastructure. The Prolanis program, a nationwide initiative for managing chronic diseases, incorporates telemedicine to encourage preventive practices among patients with T2DM. Objective: This research sought to investigate the relationship between knowledge, attitudes, and perceptions regarding telemedicine and preventive behaviors for T2DM among participants in the Prolanis program in Indonesia. Methods: A cross-sectional quantitative study was carried out involving 157 Prolanis participants (including 100 individuals diagnosed with T2DM) in Semarang. Data collection employed validated questionnaires designed to evaluate knowledge, attitudes, and perceptions of telemedicine in connection with T2DM preventive behaviors. Associations between these factors and preventive behaviors were analyzed using the Mann-Whitney test. Results: Approximately  47.1% of respondents demonstrated a good level of knowledge about T2DM. Attitudes toward telemedicine within the Prolanis program remained predominantly negative (59.0%), whereas 68.3% exhibited positive perceptions of telemedicine. No statistically significant associations were identified between knowledge (p=0.281), attitudes (p=0.162), or perceptions (p=0.229) of telemedicine and T2DM preventive behaviors among the participants. Conclusion: Knowledge, attitudes, and perceptions of telemedicine do not significantly affect preventive behaviors related to T2DM. These results indicate that existing telemedicine approaches in the Prolanis program may need improvement, potentially through customized educational efforts or improved user engagement strategies, to better support T2DM prevention.
HYBRID ANOVA-SHAP APPROACH FOR MODEL-AGNOSTIC FEATURE SELECTION IN GALLSTONE DISEASE PREDICTION Kusuma, Edi Jaya; Nurmandhani, Ririn; Manglapy, Yusthin Meriantti; Ika Pantiawati; Widianawati, Evina
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 1 (2026): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i1.66622

Abstract

Penyakit batu empedu merupakan kondisi yang cukup umum terjadi, namun sering kali tidak terdeteksi hingga muncul komplikasi, sehingga pentingnya deteksi dini menjadi semakin penting. Penelitian ini bertujuan untuk mengusulkan pendekatan seleksi fitur hibrid yang bersifat model-agnostik dengan menggabungkan metode statistik (ANOVA) dan explainable machine learning (multi-model SHAP) untuk meningkatkan kinerja prediksi batu empedu sekaligus tetap menjaga interpretabilitas model. Kerangka yang diusulkan diuji menggunakan dataset klinis yang terdiri dari 319 pasien dengan 38 variabel, yang mencakup data demografis, bioimpedansi, dan parameter laboratorium. Proses seleksi fitur dilakukan melalui beberapa konfigurasi bobot (\alpha=0.3,\ 0.5,\ 0.7) guna melihat keseimbangan antara kontribusi statistik dan berbasis model. Hasil penelitian menunjukkan bahwa fitur seperti C-Reactive Protein (CRP), Vitamin D, Bone Mass, serta parameter fungsi hati secara konsisten berperan dalam prediksi, yang menggambarkan keterkaitan antara inflamasi, metabolisme, dan fungsi hati dalam pembentukan batu empedu. Performa terbaik diperoleh pada \alpha=0.7 khususnya metode Gradient Boosting dengan akurasi 0.8646 dan recall 0.875, sedangkan \alpha=0.5 menghasilkan nilai AUC tertinggi sebesar 0.905. Secara keseluruhan, pendekatan ini memberikan solusi yang cukup andal dan mudah dipahami untuk mendukung deteksi dini.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERSALINAN PRETERM DI RSUD Prof. Dr. MARGONO SOEKARJO PURWOKERTO Tri Anasari; Ika Pantiawati
Jurnal Kebidanan VOLUME 08 No.01, JUNI 2016
Publisher : Sekolah Tinggi Ilmu Kesehatan Estu Utomo Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35872/jurkeb.v8i01.203

Abstract

Tri Anasari1, Ika Pantiawati21) 2) Akademi Kebidanan YLPP PurwokertoE-mail: sariayu_nemen@yahoo.co.id, icha.pewe@yahoo.comABSTRAKPendahuluan: Persalinan preterm merupakan persalinan belum cukup umur di bawah usia kehamilan 37 minggu dan berat bayi kurang dari 2500 gr. Dampak yang dapat ditimbulkan dari kejadian persalinan preterm antara lain hipotermi, asfiksia, ikterik, infeksi dan pertumbuhan retardasi janin. Dampak tersebut merupakan penyebab utama kematian pada bayi. Persalinan preterm di RSUD Margono Soekarjo dari tahun 2010-2013 terus meningkat. Tahun 2011 mengalami kenaikan 0,01%, tahun 2012 naik 3,32% dan tahun 2013 meningkat 3,4%. Tujuan penelitian ini adalah mengetahui faktor-faktor yang mempengaruhi persalinan preterm, meliputi usia, paritas, pekerjaan, status gizi dan riwayat kelahiran preterm di RSUD Prof. Dr. Margono Soekarjo Purwokerto. Metode penelitian: Jenis penelitian ini adalah survei analitik dengan pendekatan case control retrospektif. Populasi penelitian ini adalah seluruh ibu bersalin dari Januari-Desember 2013. Sampel dalam penelitian ini berjumlah 77 ibu bersalin preterm dan 77 ibu bersalin non preterm dengan total 154 responden, menggunakan teknik systematic random sampling. Analisis bivariat menggunakan uji chi square dan analisis multivariat menggunakan regresi logistik.Hasil penelitian: Sebagian besar usia, paritas, pekerjaan, riwayat persalinan preterm, dan status gizi tidak berisiko. Ada hubungan antara usia dengan persalinan preterm (p=0,004), ada hubungan paritas dengan persalinan preterm (p=0,001), ada hubungan pekerjaan dengan persalinan preterm (p=0,000), ada hubungan riwayat persalinan dengan persalinan preterm (p=0,000) dan ada hubungan status gizi dengan persalinan preterm (p=0,003). Kesimpulan: ada pengaruh secara bersama-sama antara usia, paritas, pekerjaan, riwayat persalinan dan status gizi dengan persalinan preterm di RSUD Prof. Dr. Margono Soekarjo Purwokerto.Kata Kunci: Persalinan Preterm, Usia, Paritas, Pekerjaan, Riwayat Persalinan, Status GiziFACTORS RELATED TO THE PRETERM LABOR IN HOSPITAL PROF. Dr. MARGONO PURWOKERTO ABSTRACTPreterm delivery is not old enough labor below 37 weeks gestation and birth weight less than 2500 gram. The impact that may result from the incidence of preterm labor include hypothermia, asphyxia, jaundice, infections and fetal growth retardation. The impact is a major cause of death in infants. Preterm labor in hospitals Margono Soekarjo of the year 2010-2013 continues to increase. The Year 2011 increased 0.01%, in 2012 rose 3.32% and in 2013 increased by 3.4%. The purpose of this study was to factors cause of preterm labor include age, parity, employment, nutritional status and a history of preterm birth in hospitals Prof. Dr. Margono Soekarjo Purwokerto. This type of research is analytic survey with a retrospective case control approach. The study population was all women giving bith from January to December 2013. The sample in this study amounted to 77 preterm birth mothers and 77 non preterm birth mothers with a total of 154 respondents, using systematic random sampling technique. Bivariate analysis using chi square test and multivariate analysis using logistic regression. Results: Most of age, parity, Employment, a history of preterm delivery, and nutritional status were not at risk. There is a corelation between age and preterm delivery (p = 0.004), there is a corelation of parity with preterm delivery (p = 0.001), there is an employment corelation with preterm delivery (p = 0.000), there is a corelation history of labor with preterm delivery (p = 0.000) and No correlation with preterm labor nutritional status (p = 0.003). Conclusion: there is an influence jointly between age, parity, employment, labor history and nutritional status and preterm delivery in hospitals Prof. Dr. Margono Soekarjo Purwokerto.Keywords: Preterm, Age, Parity, Employment, Labor History, Nutritional Status
Penyuluhan Menstrual Hygiene Management (MHM) dan Perhitungan Masa Ovulasi untuk Kesehatan Reproduksi pada Remaja Putri Syifa Sofia Wibowo; Fitria Wulandari; Nugraheni Kusumawati; Ika Pantiawati
Jurnal Abdidas Vol. 7 No. 1 (2026): February 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v7i1.1304

Abstract

Angka kejadian Infeksi Saluran Reproduksi (ISR) tertinggi di dunia terjadi pada usia remaja (35-42%). Salah satu upaya promotif dan preventif yang dapat dilakukan yaitu dengan sosialisasi menstrual hygiene dan perhitungan masa ovulasi bagi remaja perempuan. Tujuan utama dari kegiatan ini adalah untuk meningkatkan pengetahuan tentang menstrual hygiene dan perhitungan masa ovulasi yang menjadi dasar upaya pencegahan gangguan reproduksi serta peningkatan kualitas hidup remaja perempuan. Metode kegiatan yang dilakukan dimulai dari perijinan pelaksanaan kegiatan, persamaan persepsi dengan mitra, persiapan tempat sosialisasi hingga pelaksanaan sosialisasi kegiatan. Karang Taruna Jambusari sebagai mitra kegiatan ini berpartisipasi sebagai fasilitator dalam kegiatan pemberdayaan masyarakat. Sosialisasi dilakukan pada hari Sabtu, 6 Desember 2025 oleh tim kegiatan. Pelaksanaan kegiatan sosialisasi di Karang taruna Jambusari dihadiri oleh 34 orang remaja perempuan dengan rentang usia 10-18 tahun. Dilakukan  pengisian kuesioner pre-post test untuk menilai pemahaman responden terkait materi yang disampaikan. Hasil pre-test menunjukkan nilai total  52,2 poin dan nilai post-test menunjukkan nilai 85,5 poin. Tujuan kegiatan sudah tercapai yang dibuktikan dengan terlaksananya kegiatan secara lancar. Hasil kuesioner pre-post test menunjukkan bahwa resonden telah memahami materi yang disampaikan oleh tim pengabdian dengan baik
STRUCTURAL EQUATION MODEL OF ARTICLES COVID-19 ON SOCIAL MEDIA TO HEALTH LITERACY AND BEHAVIOR AMONG HEALTH INFORMATION STUDENTS Evina Widianawati; Widya Ratna Wulan; Ika Pantiawati
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1045.889 KB) | DOI: 10.34288/jri.v4i1.131

Abstract

The COVID-19 infodemic is spreading through social media and website requires people to be able to evaluate information during a pandemic. Health literacy is the key to evaluating the infodemic and to get the decision making on health behavior. Health information students primarily use digital technologies such as social media to get information about covid-19 so that students need to have good health literacy to evaluate infodemic. The purpose of this study was to determine the effect of covid-19 article content on health literacy and health behavior among health information students. Data were collected using a questionnaire on 142 health information students then analyzed descriptively and using the structural equation modeling (SEM) method. The results of the descriptive analysis show that 70% of students access covid-19 information through social media mainly using Instagram, where more than half of students access covid-19 article content <= once a day by reading and liking the article. Based on the results of SEM, it is known that the most important factor of the article content is trustworthy content, the most important factor of health literacy is adherence to prevention and the most important factor of health behavior is reducing contact with other people. From the results of the SEM effect test, it is known that there is a direct effect of content articles on health literacy of 51%. On the other hand, there is a direct effect from health literacy to health behavior of 63,4% and there is no significant effect from content articles to health behavior.
Empowerment of Young Women Through Nutrition Education and Reproductive Health in Stunting Prevention at Mega Islamic Boarding School, Semarang City Ika Pantiawati; Edi Jaya Kusuma; Widya Ratna Wulan; Tiara Fani; Syifa Sofia Wibowo
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.19309

Abstract

This community service program aims to improve adolescent girls’ knowledge of balanced nutrition, anemia prevention, reproductive health, and stunting prevention. The program was conducted at Mega Islamic Boarding High School in Semarang City and involved 47 female students. The intervention was implemented through socialization sessions and interactive educational methods. Program evaluation employed a pre-test and post-test design, with data analyzed using a paired-sample t-test. The results indicate an average increase in knowledge scores of 11.21%, with a statistically significant difference between pre-intervention and post-intervention scores (p < 0.05). Educational activities focusing on nutrition, reproductive health, and stunting prevention for adolescent girls have important implications for strengthening the role of schools in promoting adolescent health. The structured boarding school environment positions schools as strategic settings for fostering sustainable health behaviors. Therefore, it is recommended that health education activities be integrated into extracurricular programs or dormitory guidance and supported by the establishment of adolescent health teams or student health cadres as agents of change through a peer education approach. Furthermore, sustained partnerships with community health centers and universities should be strengthened to support mentoring, evaluation, and program sustainability, ensuring that initiatives to improve adolescent girls’ health literacy contribute meaningfully to the long-term prevention of stunting.
Melanoma Classification based on Simulated Annealing Optimization Neural Network Kusuma, Edi Jaya; Pantiawati, Ika; Handayani, Sri
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

Technology development in image processing and artificial intelligence leads to the high demand for smart systems, especially in the health sector. Cancer is one of the diseases with the highest mortality cases worldwide. Melanoma is one of the cancers commonly caused by high exposure to UV light. The earliest the melanoma is identified, the higher the patient's chance of recovering. Therefore, this study proposes melanoma detection based on BPNN optimized by a simulated annealing algorithm. This research utilizes PH2 dermoscopic image data containing 200 color digital images in BMP format. The data is processed using color feature extraction techniques to identify the characteristics of each image according to the target data. The color space extraction includes mean RGB, HSV, CIE LAB, YCbCr, and XYZ. The evaluation result showed that the BPNN-SA increased the performance accuracy in classifying skin cancer compared to the original BPNN, with an overall average accuracy of 84.03%.