Article Per Year (5 Year)
p-Index From 2020 - 2025
3.981
P-Index
This Author published in this journals
All Journal Jurnal Bidan Prada Jurnal Teknologi Informasi dan Ilmu Komputer Knowledge Engineering and Data Science Jurnal Kebidanan Jurnal Riset Informatika Health Information : Jurnal Penelitian Jurnal Abdidas Jurnal Pengabdian UNDIKMA Jurnal Teknik Informatika (JUTIF) Community Empowerment Lontara Abdimas : Jurnal Pengabdian kepada Masyarakat Jurnal Abdi Masyarakat Indonesia Jurnal Cakrawala Ilmiah Jurnal Ilmu Kesehatan Masyarakat Indonesian Journal of Health Information Management Services (IJHIMS) Jurnal Bina Cipta Husada: Jurnal Kesehatan dan Science
Ika Pantiawati
Faculty Of Health Science, Dian Nuswantoro University, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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

Found 34 Documents
Search

 1   2   3   4 
Pemberdayaan Masyarakat Melalui Penerapan Metode Ovitrap dan Budidaya Tanaman Pengusir Nyamuk Sebagai Upaya Penanganan Demam Berdarah Dengue (DBD) di Kelurahan Tanjung Mas Kota Semarang Fatimatul Fahmi; Ika Pantiawati; Reny Diva Anggraini; Puspa Ayu Nuraeni; Maulana Tomy Abiyasa
Jurnal Pengabdian UNDIKMA Vol. 5 No. 2 (2024): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i2.9524

Abstract

This service activity aims to increase the knowledge and skills of community members in handling dengue hemorrhagic fever through the ovitrap method and cultivating mosquito-repellent plants. The method of implementing this service uses empowerment with socialization and practical activities. This service establishes a partnership with Dian Nuswantoro University (UDINUS) in the form of Assisted Village Partners, Semarang City Health Service, and Bandarharjo Community Health Center providing support in the form of mentoring and speakers, and the Forest Plant Certification and Seedling Center (BSPTH) providing support in the form of 100 eucalyptus plant seeds. The evaluation instrument for this activity uses a pre-test and post-test. This service data analysis technique uses descriptive analysis. The results of this service show that community members have the knowledge and skills to deal with dengue hemorrhagic fever through the ovitrap method and cultivating mosquito-repellent plants in Tanjung Mas Village. This is proven by residents participating in the process of making Ovitrap tools and planting mosquito-repellent plants. There was a change in community knowledge from before the counseling was carried out to after the counseling was carried out (the score before the counseling was 35, and the score after the counseling was 50).
Pelatihan WhatsApp Telemedicine Stunting untuk Meningkatkan Literasi Kader Posyandu di Desa Lokus Stunting Kabupaten Banyumas Ika Pantiawati; Widya Ratna Wulan; Evina Widianawati; Tiara Fani; Edi Jaya Kusuma; Nurrisa Ananda
Jurnal Pengabdian UNDIKMA Vol. 5 No. 4 (2024): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i4.13088

Abstract

The community service aims to increase the literacy and skills of Posyandu cadres in preventing stunting of toddlers as an effort to support the success of the 2030 SDGs in Banyumas Regency. The method of implementing this service used assistance and practice carried out on mothers who had stunted toddlers in Lokus Stunting Village, Banyumas Regency. Detailed activities included preparation, pre-test, providing education, training on the WhatsApp Telemedicine Stunting application and post-test. The evaluation instrument for this activity used a questionnaire and was explained descriptively. The results of this service showed that above average participants experienced an increase in Stunting Telemedicine Knowledge before and after the training by 87%, indicating that participants' Stunting Telemedicine Knowledge increased compared to before the training. The Toddler Stunting Knowledge aspect before and after mentoring also experienced an increase of 4%, then there was the Toddler Nutrition Knowledge aspect with an increase of 7%. The implications that can be taken from this service were increasing the literacy of Posyandu cadres, improving knowledge of toddlers with stunting, increasing knowledge of toddler nutrition, as well as contributing to SDGs 2030.
Pendampingan Aplikasi Personal Health Record Berbasis AI untuk Deteksi Dini dan Monitoring Penyakit Kronis bagi Warga Desa Kalongan Kabupaten Semarang Evina Widianawati; Ika Pantiawati; Widya Ratna Wulan; Edi Jaya Kusuma
Jurnal Pengabdian UNDIKMA Vol. 6 No. 1 (2025): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i1.13276

Abstract

This community service activity aims to improve the knowledge, attitudes, and behaviors of residents in Kalongan Village, Semarang Regency, for early detection and monitoring of chronic diseases through the use of an Artificial Intelligence (AI)-based Personal Health Record (PHR) application. The implementation method of this service included Survey, Socialization and Mentoring the practice of using the PHR-AI application. The evaluation instrument used a questionnaire and the data was analyzed descriptively in percentage growth. The results of this activity showed active participation from all attendees in discussions and socialization sessions on chronic diseases, PHBS, and the PHR-AI application for chronic disease detection. There was a significant improvement in participants’ knowledge, attitudes, and behaviors, indicating that the socialization of the PHR-AI application was highly beneficial in raising awareness about chronic disease risk factors. Participants were able to understand and practice the material presented during the sessions, which involved a combination of presentations, hands-on practice, and discussions. Additionally, participants actively consulted with facilitators during health screenings and enthusiastically joined the exercise sessions to maintain their health.
A Random Forest and SMOTE-Based Machine Learning Model for Predicting Recurrence in Papillary Thyroid Carcinoma Kusuma, Edi Jaya; Nurmandhani, Ririn; Pantiawati, Ika; Manglapy, Yusthin Meriantti; Widianawati, Evina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4854

Abstract

PTC (Papillary Thyroid Carcinoma) is one subtype of thyroid cancer occurred most frequently in thyroid cancer cases. Although the prognosis of this cancer is typically positive, its recurrence remains a key challenge requiring early detection. This study proposes machine learning models to predict PTC recurrence, explicitly addressing the inherent class imbalance in the recurrence data. This study implemented three supervised learning algorithms, namely Random Forest (RF), Extreme Gradient Boost (XGB), and Support Vector Machine (SVM) with the Synthetic Minority Oversampling Technique (SMOTE) to balance the dataset. SMOTE was chosen for its capacity to generate synthetic minority class samples while minimizing information loss, thus effectively addressing class imbalance and improving classification outcomes. Model performance was assessed using accuracy, precision, recall (sensitivity), and F1-score. Among all approaches tested, RF with SMOTE demonstrated superior performance, achieving 0.98 accuracy, perfect precision (1.0), high recall (sensitivity) (0.95), and a strong F1-score (0.97), outperforming previous methods including SMOTEENN-based approaches. The result of this study demonstrates SMOTE specifically outperforms SMOTEENN in this clinical context, likely due to better preservation of subtle prognostic indicators with minimal information loss. This improvement suggests SMOTE's effectiveness in preserving valuable decision boundary information while addressing class imbalance in PTC recurrence prediction. These findings establish RF with SMOTE as a robust and well-balanced approach for predicting PTC recurrence, contributing significantly to the development of more precise and responsive AI-driven decision support tools for thyroid cancer.
Co-Authors Amik Khosidah Ananda, Nurrisa Anyelir Khailla Eurissetaqtha Aprillia Putri Wulandari Citra Hadi Kurniati Desy Karlita Sari Dina Saputri Hindiyastutik Evina Widianawati Evina Widianawati Evina Widianawati Evina Widianawati Evina Widianawati Fatimatul Fahmi Fitria Wulandari Guruh Fajar Shidik Iin Astuti, Iin Ima Syamrotul Muflihah Khomsatun . Kusuma, Edi Jaya Kusumawati, Nugraheni Lenci Aryani Lidya Citra Nirmala Magumi Avrora Iftita Manglapy, Yusthin Meriantti Maria Maya Purnamasari Maulana Tomy Abiyasa Minah . Muhammad Gymnastiar Aziz Mushovah, Devi Mutiara Dwi Rahayuni Nanda Zahrotul Maulidah Naning Pipit Ernawati Neva Marsela Nor Amalia Muthoharoh Nugraheni Kusumawati Nur Rizki Darmawan Nurmandhani, Ririn Nurrisa Ananda Nurrisa Ananda Ossie Happinasari Pramitasari, Ratih Puji Rahayu, Lina Dwi Puspa Ayu Nuraeni Rachmansyah Adityo Nugroho Ratna Kartika Dewi Reny Diva Anggraini Rohmi, Rohmi Soflina Nur Cholifah Sri Handayani Susilo Rini Tiara Fani Tiara Fani Tri Anasari Tri Anasari Vira Aditya Putri Widianawati, Evina Wulan Margiana Wulan, Widya Ratna Yuli Trisnawati