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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Interest : Jurnal Ilmu Kesehatan Jurnal Riset Kesehatan Jurnal Keterapian Fisik Jurnal Skala Kesehatan Media Ilmu Kesehatan Indonesian Journal of Medicine Journal of Health Science and Prevention Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Kesehatan Jurnal Sehat Mandiri Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Computer Networks, Architecture and High Performance Computing Jurnal Health Sains Journal of Applied Nursing and Health Jurnal Teknologi Kesehatan Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication Jurnal Teknologi dan Manajemen Industri Terapan Biner : Jurnal Ilmiah Informatika dan Komputer Journal of Prosthetics Orthotics and Science Technology (JPOST) Gema Lingkungan Kesehatan Jurnal Ilmiah Kesehatan Journal of Local Therapy Jurnal Pendidikan Kesehatan (e-Journal) Journal Information & Computer (JICOM) (MJN) E-Amal: Jurnal Pengabdian Kepada Masyarakat Mandalika Journal of Medical and Health Studies Applied Information Technology and Computer Science (AICOMS)
Nur Rachmat
Poltekkes Kemenkes Surakarta
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Qualitative Policy Analysis of Hypertension Disease Control at Primary Health Centers in Surakarta, Indonesia Hastuti, Rini Tri; Dewi, Indri Kusuma; Rachmat, Nur; Setyorini, Yuyun Setyorini; Mulyaningrum, Haryanti Katini; Subagiyo, Didik; Suryaningsih, Anthik Fajar
Journal of Applied Nursing and Health Vol. 7 No. 3 (2025): Journal of Applied Nursing and Health
Publisher : Chakra Brahmanda Lentera Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55018/janh.v7i3.405

Abstract

Background: Hypertension is a leading global health issue and a primary risk factor for cardiovascular disease. Despite national strategies in Indonesia, evidence on hypertension control implementation at the district and community levels remains scarce. Surakarta reports hypertension as the most common non-communicable disease (NCD), yet little is known about how policies are translated into practice at primary health centers. Methods: This qualitative descriptive study applied a policy analysis approach, guided by the COREQ reporting standard. Five purposively selected participants (three health workers, one patient, and one district health officer) were interviewed between June and September 2023. Data were collected through in-depth interviews (30–60 minutes) and document reviews, and were analyzed thematically using Creswell’s framework. Results: Three themes emerged: (1) hypertension control policies operationalized at the primary healthcare level and supported by innovations such as BU DESI (Buru Diabetes dan Hipertensi); (2) health promotion through Posbindu PTM and cadre empowerment; and (3) monitoring and evaluation via regular monthly reviews, though patient adherence and multisectoral collaboration remain limited. Conclusion: While hypertension control in Surakarta aligns partially with national strategies, its novelty lies in integrating locally driven innovations such as BU DESI. The study highlights the need to strengthen community empowerment and multisectoral collaboration.
Klasifikasi Penyakit Daun Tanaman Jagung Menggunakan Pendekatan Transfer Learning Arsitektur MobileNetV4 Muhammad Naufal Anugrah; Nur Rachmat
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 4 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.1393

Abstract

Jagung (Zea mays) merupakan komoditas pangan utama, namun produktivitasnya terhambat oleh serangan penyakit daun. Identifikasi penyakit daun jagung secara manual memakan waktu dan bersifat subjektif. Penelitian ini bertujuan mengembangkan model klasifikasi otomatis menggunakan Convolutional Neural Network (CNN) berbasis transfer learning dengan mengevaluasi tiga varian arsitektur MobileNetV4 (Small, Medium, Large) serta membandingkan optimizer Adam dan SGD. Peneliti menggunakan 4000 citra daun jagung dari empat kelas dengan pembagian 80% data pelatihan, 10% data validasi dan 10% data pengujian. Hasil eksperimen menunjukkan bahwa model terbaik diperoleh dari MobileNetV4-Conv-Medium dengan optimizer SGD, yang mencapai akurasi validasi tertinggi 95,25% dan F1-Score 92,00% dengan penggunaan hyperparameter learning rate 0.01, epoch 50 dan batch size 32. Kinerja ini menegaskan potensi MobileNetV4, khususnya varian Medium, dalam mencapai keseimbangan optimal antara efisiensi komputasi dan kinerja klasifikasi, menjadikannya model yang sangat menjanjikan untuk implementasi sebagai sistem mobile dalam pertanian presisi.
Opini Public Terhadap Liga Korupsi Indonesia Pada Platform Youtube menggunakan Naive Bayes dan SMOTE Ardiansyah, Aldi; Bella Permata Sihombing Permata , Mecha; Rachmat, Nur
Applied Information Technology and Computer Science (AICOMS) Vol 4 No 2 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v4i2.1810

Abstract

This study analyzes public opinion regarding the Corruption League in Indonesia by utilizing the Naïve Bayes method combined with the Synthetic Minority Oversampling Technique (SMOTE). The Corruption League is a compilation of corruption cases involving public officials, politicians, and other parties in Indonesia. In this research, Naïve Bayes is employed for sentiment classification, while SMOTE is used to address class imbalance within the dataset, which was collected from YouTube comments. The methodology consists of several stages, including data collection, labeling, preprocessing, classification, and model evaluation. The results reveal that Naïve Bayes without SMOTE achieves high performance in identifying the negative class but struggles significantly in recognizing the positive class, leading to an imbalanced classification outcome. Conversely, when Naïve Bayes is combined with SMOTE, the model’s performance becomes more balanced, showing a notable improvement in detecting the positive class. Additionally, accuracy increases from 79.7% to 84.3%. This study provides valuable insights into public perceptions and demonstrates the effectiveness of classification methods in the context of corruption issues in Indonesia.
Co-Authors Agus Seto Nugroho Ahmad Hisyam Aji Janmo Minulyo Aji, Sherly Ratih Frichesyarius Santi Alfan Zubaidi Alfan Zubaidi ANDYARINI, ESTI NOVI Anik Indah Yani Anik Indah Yani Anissa Eka Septiani Annisa Eka Septiani Ardi al Ghifari Ardiansyah, Aldi Atika Febri Anggriani Ayuningtyas, Roro Aji Bambang Kuncoro Bambang Kuncoro Bambang Kuncoro Bambang Kuncoro Bee, Vanness Bella Permata Sihombing Permata , Mecha Devi Elvina Rachma Doddy Suprayogi Dodiet Aditya Setyawan Dola Fitritha Raras Handayani Dwi Nurul Izzhati Dwi Setyawan Dwi Setyawan E. Saputra Saputra Esa Ridho Sambada Eviana S. Tambunan Fadhila Firmanurulita Fajar Susanti Faried Effendi Surono Fitri Khoirun Nisa haidar abdurrahman prawira Handayani, Dola Fitritha Raras Hanifah Hanifah Hanna Lestari Herawati Prianggi Herawati Priangi Indri Kusuma Dewi, Indri Kusuma Ismi Dwi Syafitri Izha Mahendra Jusuf Kristianto M Syafii M.Kurniawan Maharani Nadia Andarini Mardiani Mardiani Masdeniati, Masdeniati Muhammad Naufal Anugrah Muhammad Syafii Muhammad Syaifudin Mulyaningrum, Haryanti Katini Nella Tri Surya Ni Made Riasmini Noorma, Nilam Pibriana, Desi Prasetya, Hanung Prasetyo Catur Utomo Prasetyo Catur Utomo Prasetyo Catur Utomo Prianggi, Herawati Putra, Aji Putri Utami Sulistyawati R. Ismail Ismail Rachma, Devi Elvina REZA FAHLEVI Rini Tri Hastuti Rizi, Muhammad Alfa Rustam Aji, Rustam Setyorini, Yuyun Setyorini Siska Meiwijayasmi Sisybania Sri Djuwitaningsih Subagiyo, Didik SULISTIYANI SULISTIYANI Surya, Nella Tri Suryaningsih, Anthik Fajar Tri Handayani Wibowo, Suluh Arif Zenitha Bela Pratiwi Kusumawati