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All Journal Media Publikasi Promosi Kesehatan Indonesia (MPPKI) International Journal of Health Literacy and Science International Journal of Applied Information Systems and Informatics
Irfan Nafis Sjamsuddin
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Computer Science & IT Education Environmental Science Health Professions Public Health Social Sciences

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Analysis of Healthy Lifestyles According to Digital Health Literacy in Adolescent Girls Aged 11-19 Years Irfan Nafis Sjamsuddin; Tuti Surtimanah
International Journal of Health Literacy and Science Vol. 1 No. 2 (2023): 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.v1i2.27

Abstract

Adolescent health problems are generally related to risky behavior and lifestyle. Adolescents' healthy lifestyles are influenced by various factors. one of which is health literacy. Teenagers tend to use new media as a source of information. so a different health literacy approach is needed namely digital health literacy. The research aims to determine the relationship between digital health literacy and a healthy lifestyle in adolescent girls aged 11-19 years. A research method is a descriptive analysis that uses secondary data. The population was 689 adolescent girl women aged 11-19 years. with a sample of 530 people selected purposively. The secondary data used was collected through interviews and anthropometric measurements. The data analysis is univariate and bivariate. The results showed that adolescent girls had good eating habits were 59.7%; 53.2% had good physical activity but 69.4% had smoked. Digital health literacy was 54.5% in the high category. and the literacy components of accessing information. evaluating. and applying information were mostly in the high category. The conclusion is there’s no relationship (p > 0.05) between digital health literacy and eating behavior. physical activity. and smoking behavior. However. there is a relationship (p<0.05) between the information access component and smoking behavior. It is necessary to study qualitatively related to this study.
Evaluasi Pasca Pelatihan: Keterampilan Bidan dalam Pelayanan Kontrasepsi: Post-Training Evaluation: Midwives' Skills in Contraception Services Tuti_Surtimanah; Dean Rosmawati; Gina Zulfah; Nuraini; Yeni Mahwati; Irfan Nafis Sjamsuddin
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 7 No. 5 (2024): May 2024
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v7i5.5017

Abstract

Latar belakang: Pelayanan kontrasepsi di fasilitas kesehatan mesti dilakukan secara terstandar dan berkualitas. Telah dilakukan pelatihan pelayanan kontrasepsi bagi bidan dengan indikator hasil belajar 16 ranah keterampilan dan empat ranah pengetahuan. Tujuan: Mengetahui tingkat keterampilan bidan pasca pelatihan pelayanan kontrasepsi. Metode: Disain mixed methods, rancangan sekuensial eksplanatif. Populasi alumni pelatihan tahun 2023 dengan sampel total sebanyak 40 orang untuk penelitian kuantitatif, dan 13 informan penelitian kualitatif dipilih purposif. Pengumpulan data kuantitatif melalui penyebaran kuesioner skala penilaian diri dan pertanyaan aplikasi keterampilan pelayanan kontrasepsi berbentuk google form, kemudian dianalisis deskriptif dan uji beda skor keterampilan menurut karakteristik responden. Pengumpulan data kualitatif melalui wawancara mendalam, dianalisis menggunakan framework analysis. Hasil: Rata-rata skor keterampilan hasil skala penilaian diri sebesar 80,20 lebih tinggi dari rata-rata skor hasil pertanyaan aplikasi pelayanan kontrasepsi sebesar 49,75. Tidak ada korelasi signifikan antara skor hasil skala penilaian diri dengan skor hasil pertanyaan aplikasi pelayanan kontrasepsi (p 0,689). Tidak ada beda signifikan (p > 0,05) skor keterampilan pelayanan kontrasepsi menurut umur, instansi kerja, pendidikan, jenis tugas, asal kabupaten – kota, lama kerja. Ada 8 dari 16 keterampilan yang dijawab benar ? 50% responden pada pertanyaan aplikasi keterampilan yaitu konseling dengan ABPK, pelayanan kontrasepsi darurat dan pasca keguguran, pelayanan kontrasepsi metode suntik – pil dan kondom, melakukan kewaspadaan pencegahan pengendalian infeksi, pencatatan pelaporan pelayanan. Terjadi perubahan keyakinan diri serta motivasi melaksanakan tugas pasca pelatihan, termasuk dalam melaksanakan konseling. Kesimpulan: Sebanyak 97,5% responden memiliki keterampilan pelayanan kontrasepsi kategori baik menurut skala penilaian diri, namun hanya 45% memiliki kategori baik menurut jawaban pertanyaan aplikasi pelayanan kontrasepsi. Dukungan pimpinan, kebijakan serta penyediaan sarana prasarana kerja dibutuhkan alumni dalam mengaplikasikan keterampilan yang dipelajari selama pelatihan.
EDUTRACE: A Web Based Early Warning System for Detecting Out-of-School Children in Tasikmalaya Dasya Arief Firmansyah; Jovita Edgina; Irfan Nafis Sjamsuddin
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18281

Abstract

The problem of out-of-school children (OTS) is one of the most persistent challenges in the Indonesian education system. Tasikmalaya Regency recorded 29,949 children aged 7–18 years who were not receiving education as of October 2025, while West Java reported 658,831 OTS, the highest absolute figure nationally. The persistence of this problem is caused by three systemic gaps: fragmentation between the Dapodik (Ministry of Education and Culture) and EMIS (Ministry of Religious Affairs) data systems, the absence of an early warning mechanism to identify at-risk students before they drop out, and the unregistered status of thousands of salafiyah Islamic boarding schools (pesantren) whose students are incorrectly classified as OTS. This paper presents the design and development of a prototype of EDUTRACE (Education Tracking and Early Alert System), a web-based information system developed using React, TypeScript, Vite, and Tailwind CSS. The system integrates data from various educational registries, provides a machine learning-based risk assessment mechanism for early identification of at-risk students, and automates notification to stakeholders. The research used a literature review methodology combined with prototype development, without formal usability testing. The resulting prototype demonstrates the feasibility of a data-driven, preventive approach to addressing ATS in a local government context. EDUTRACE contributes to the achievement of SDG 4 (Quality Education), specifically Targets 4.1, 4.5, and 4.6, by enabling earlier and more targeted educational interventions. The system's modular architecture allows for phased implementation across schools, villages, and sub-district education offices.
Development of a Sustainable Fashion Mobile Application Prototype Using Rule-Based Filtering Approach Nila Natalia; Zahra Ramadhani Putri; Irfan Nafis Sjamsuddin
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18276

Abstract

Abstract— Rapid growth in the fast fashion industry has increased consumer behavior, especially among college students. This growth led to a surge in textile waste. This study aims to design and develop a mobile application prototype named "ReHue" as a digital solution. The app promotes sustainable fashion through a smart wardrobe management and donation system. This study uses a quantitative, applied approach. It focuses on UI/UX design in Figma and prototyping with React Native. Materials analyzed include literature on the circular economy, rule-based filtering algorithms, and textile waste management. The proposed system applies a rule-based filtering approach. It gives personalized clothing recommendations based on real-time weather and the user's color profile. The system uses a threshold-based tracking mechanism. It triggers notifications when clothing has been unworn for more than 210 days, encouraging users to donate through a gamified feature. Experimental results from logic scenario testing show the system can execute recommendation rules and trigger alerts as intended. By offering monetary rewards in the donation flow, the system incentivizes users to reduce textile waste. This research suggests ReHue can help transform impulse-buying habits into ecological actions. Future research should integrate real-time API connectivity and advanced machine learning models to improve recommendations and user engagement across wider reverse logistics networks. Keywords— Sustainable fashion; Smart wardrobe; Rule-based filtering; Mobile application; Textile waste
Co-Authors Dasya Arief Firmansyah Dean Rosmawati Gina Zulfah Jovita Edgina Natalia, Nila Nuraini Tuti Surtimanah Tuti_Surtimanah Yeni Mahwati Zahra Ramadhani Putri