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All Journal JURNAL GIZI INDONESIA Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Dinamika Penelitian Industri AcTion: Aceh Nutrition Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Amerta Nutrition Holistik Jurnal Kesehatan Jurnal Ilmiah Keperawatan Sai Betik Jurnal Kesehatan JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan PREPOTIF : Jurnal Kesehatan Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Aisyah : Jurnal Ilmu Kesehatan Science Midwifery Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Al-Mu'awanah Bulletin of Information Technology (BIT) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Ilmiah Kesehatan (JIKA) EXPLORER JKKI : Jurnal Kedokteran dan Kesehatan Indonesia JOMPA ABDI: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Research Nusantara of Engineering (NOE) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) AMMA : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Kesehatan Beguai Jejama Jurnal Pengabdian Masyarakat Nusantara Journal of Dietetics Science
Arie Nugroho, Arie
Jurusan Gizi Poltekkes Kemenkes Tanjungkarang
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Perbandingan Kinerja Algoritma SVM, LSTM, dan Fine-tuned IndoBERT dalam Analisis Sentimen Opini Masyarakat Indonesia terhadap Mobil Listrik Daniati, Erna; Nugroho, Arie; Ristyawan, Aidina; Utama, Hastari
The Indonesian Journal of Computer Science Research Vol. 5 No. 1 (2026): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v5i1.245

Abstract

Penelitian ini menyajikan analisis sentimen terhadap opini publik di Indonesia mengenai mobil listrik menggunakan pendekatan fine-tuning pada model IndoBERT untuk meningkatkan akurasi klasifikasi sentimen. Dengan semakin meningkatnya pergeseran global menuju transportasi berkelanjutan, memahami persepsi masyarakat sangat penting bagi keberhasilan adopsi mobil listrik di Indonesia. Penelitian ini menggunakan dataset berisi 1.517 komentar berbahasa Indonesia yang dikumpulkan dari platform media sosial dan dilabeli menjadi tiga kategori sentimen: positif, negatif, dan netral. Model yang digunakan adalah IndoBERT-base yang diperbaiki melalui proses fine-tuning pada dataset tersebut untuk meningkatkan performanya dalam klasifikasi sentimen. Hasil evaluasi menunjukkan bahwa IndoBERT yang telah dilakukan fine-tuning mencapai akurasi sebesar 0,91, mengungguli tiga model baseline yaitu TF-IDF dengan SVM, LSTM, serta IndoBERT tanpa fine-tuning. Uji signifikansi statistik menggunakan uji McNemar membuktikan bahwa peningkatan tersebut signifikan secara statistik (p < 0,05). Selain itu, analisis tematik kualitatif mengungkapkan bahwa sentimen negatif didominasi oleh kekhawatiran terhadap harga yang mahal infrastruktur pengisian daya yang minim serta ketidakpercayaan terhadap kebijakan pemerintah sedangkan sentimen positif cenderung berkaitan dengan manfaat lingkungan dan insentif yang adil. Penelitian ini menunjukkan bahwa pendekatan fine-tuning pada IndoBERT secara signifikan meningkatkan akurasi klasifikasi sentimen dan memberikan wawasan berharga mengenai opini publik yang mendukung pengembangan kebijakan dan strategi industri dalam mempromosikan mobilitas ramah lingkungan di Indonesia
Analysis of Preprocessing Technique Combinations and Hyperparameter Tuning for Building a Reliable Random Forest–Based Stroke Prediction Model Ristyawan, Aidina; Nugroho, Arie
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 5 No. 1 (2026): March 2026
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v5i1.6080

Abstract

Stroke is a major health threat that can result in permanent disability or death, yet its risks can be mitigated through accurate early detection. Although the Random Forest algorithm is frequently utilized for stroke prediction, prior studies have often neglected model reliability, specifically the stability of performance between training and testing phases. This research aims to develop a dependable stroke prediction model by implementing the CRISP-DM methodology on a public dataset comprising 5,110 data points. The proposed methodology involves a comprehensive evaluation of 48 preprocessing technique combinations—addressing missing values in the BMI attribute, categorical transformation, feature scaling, and class balancing—followed by a two-stage hyperparameter optimization strategy: Randomized Search for broad exploration and Grid Search Refine for local refinement to ensure optimal stability. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results demonstrate that hyperparameter tuning successfully enhanced model performance by up to 38.80%. Additionally, it was found that the hybrid balancing technique (SMOTETomek) did not consistently yield the most stable models in this specific case. The optimal model (Model No. 8) achieved a training accuracy of 0.925 and a testing accuracy of 0.877. With a minimal performance gap of 0.047 (below the 0.05 threshold), this model is classified as "good fitting," signifying superior generalization capabilities. Consequently, this model is highly recommended for implementation as a robust and trustworthy early warning decision support system for medical professionals.
Association of dietary intake and physical activity with hypercholesterolemia among prolanis participants Sutrio, Sutrio; Nugroho, Arie; Wahyuni, Endang Sri; Putri, Sefanadia
AcTion: Aceh Nutrition Journal Vol 11, No 1 (2026): March
Publisher : Department of Nutrition at the Health Polytechnic of Aceh, Ministry of Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/action.v11i1.3063

Abstract

Cholesterol levels are vital indicators of the risk of metabolic disease. However, data on specific lifestyle determinants contributing to hypercholesterolemia within the Chronic Disease Management Program (Prolanis) population remain limited, despite their enrollment in routine monitoring programs. This study aimed to analyze the association between cholesterol intake, fiber intake, and physical activity with cholesterol levels in Prolanis participants.  This cross-sectional study involved 42 Prolanis participants aged 42–76 years at the Kedato Community Health Center in Bandar Lampung. Nutrient intake was measured using the Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ), physical activity was assessed using the Physical Activity Level (PAL) assessment, and cholesterol levels were measured enzymatically.  Bivariate analysis indicated significant associations between cholesterol intake (OR=11.000; 95%CI: 2.366–51.141), fiber intake (OR=5.600; 95%CI: 1.218–25.751), and physical activity (OR=4.750; 95%CI: 1.226–18.406) with cholesterol levels. BMI and central obesity were not significantly associated with each other. However, in the multivariate logistic regression model, physical activity emerged as the sole independent correlate (Adjusted OR 4.848; 95% CI: 1.026–22.909), whereas the associations for dietary variables were attenuated and lost statistical significance.  Although dietary factors showed initial associations, physical activity was identified as the most robust independent correlate of cholesterol levels among the Prolanis participants in this study. These findings suggest that emphasizing physical activity is a critical component of strategies to address hypercholesterolemia in this population
Korelasi Asupan Zat Gizi Makro terhadap IMT pada Lansia Peserta Prolanis Sutrio, Sutrio; Nugroho, Arie; Putri, Sefanadia
Journal of Dietetics Science Vol. 2 No. 1 (2026): Journal of Dietetics Science (In Progress)
Publisher : Nutrition Department, Poltekkes Kemenkes Tanjung Karang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26630/jds.v2i1.5638

Abstract

Optimal nutritional status is a primary indicator of successful chronic disease management within the Program Pengelolaan Penyakit Kronis (Prolanis). This study aimed to analyze the association between macronutrient intake (energy, protein, fat, carbohydrates, fiber, and cholesterol) and Body Mass Index (BMI) among Prolanis participants. A cross-sectional observational study was conducted on 42 elderly subjects, with a majority being female (69%) and aged 60–70 years (61.9%). Dietary intake was assessed using a 24-hour recall method and analyzed using Pearson/Spearman correlation and linear regression tests. The results revealed that 66.7% of subjects had never received nutritional counseling. Statistical analysis showed a significant positive correlation (p<0.05) between BMI and the intake of energy (r=0.517), protein (r=0.537), fat (r=0.747), carbohydrates (r=0.391), and fiber (r=0.671). No significant correlation was found between cholesterol intake and BMI (p=0.538). Regression analysis identified fat intake as the most dominant factor influencing BMI (B=0.949; p=0.002). In conclusion, macronutrient and fiber intake are closely associated with the nutritional status of the elderly, with fat identified as the primary determinant of BMI among Prolanis participants. Strengthening routine nutritional counseling programs is recommended to prevent nutritional issues in elderly patients with chronic diseases.
Blast injury of the hand in a pediatric patient with open fracture: A case report Nugroho, Arie; Zahra, Afifah Az; Yahya, Taufik Nur
JKKI : Jurnal Kedokteran dan Kesehatan Indonesia JKKI, Vol 17, No 1, (2026)
Publisher : Faculty of Medicine, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/JKKI.Vol17.Iss1.art15

Abstract

Blast injuries can cause severe, multi-tissue damage, including open fractures and extensive lacerations. Management of pediatric hand blast injuries is particularly challenging due to a high risk of contamination and infection. We report the case of a 10-year-old boy who sustained a left-hand blast injury caused by a firecracker. The patient presented with a contaminated lacerated wound, active bleeding, tissue avulsion, and retained foreign bodies, accompanied by crepitus and cyanosis of the index finger. Initial management included debridement and irrigation. Surgical intervention consisted thorough debridement, exploration of tendon and neurovascular structure, and K-wires fixation of the index finger. Despite appropriate initial management, the patient developed chronic necrotic tissue infection, necessitating ray amputation of the index finger to control the infection. Further evaluation suggested that primary vascular disruption, exacerbated by contamination and infection, contributed to progressive necrosis, particularly at the metacarpophalangeal level. To prevent further infection spread and salvage overall hand function, repeated debridement followed by amputation at the metacarpophalangeal joint and removal of fixation wires was performed. Structured rehabilitation was subsequently initiated. Pediatric hand blast injuries represent complex traumatic conditions with a high risk of tissue necrosis. Early diagnosis and aggressive surgical management are essential; however, compromised tissue viability and severe infections may necessitate amputation as a limb-salvage strategy. This case underscores the importance of comprehensive management and highlights the need for improved community-based prevention efforts.
Co-Authors Abdullah Abdullah Abunizar, Lutfi Adam, Rizal Syihab Saputra Adinda Juwita Sari Affandy Affandy Agung Pramono, Agung Aidina Ristyawan Aidina Ristyawan, Aidina Amarya, Theo Krisna Ameliya, Putri Anggreini, Emi Annisa, Viviane Antun Rahmadi Ardio, Gletser Yustitito Ariansyah, Damas Baik Arie, Theo Yan ARMYANTO, JODI Astuti, Titi Aswita Amir Bella Novita Muktiari Bertalina Bertalina Bertalina Ny Br. Ginting, Daria Dwi Fajarsari, Gesti DWI HARINI Dwi Harini Endang Sri Wahyuni Erna Daniati Farhan Gagat Retnanto Febrina, Binta Setya Ferdian Ahmat Felmidi Ferianto, Risky Hardhono Susanto Henityastama, Milinian Tree Multi Hermawan Nur Wahiid Hery Widijanto Imam Santosa Indriyani, Reni Irawati, Elsa Kusdalinah Kusdalinah Lestari, Afifah Kurnia Martha Irene Kartasurya Maulana, Wildan Arya Merita Putri Mufattan, Ahmad Mugiati Mugiati Muhammad Fikri Pratama Muhammad Najibulloh Muzaki Muhammad, Hasman Zhafiri Mulyani, Roza Ningrum, Dea Yuliana Ayu Ningrum, Dila Ayu Tri Suhesti Novika , Yulia Nurhapy, Dwiki Nurhindarto, Aris Nuri Aslami Ny, Bertalina P, Anggi Yuniar Pradhana, Akmal Hisyam Pramadya, Reza Candra Pranata, Dava Adistyan Pratama, Aldi Pratiwi, Amali Rica Qibtiyah, Siti Mariyatul Rahmadi, Antun Ratih Kumalasari Niswatin Rauf Tamim Rebia, Rina Afiani Reka Ainul Khasanah Retno Mayangsari, Dwi Ricardus Anggi Pramunendar Rina Firliana Rini Indriati Rino Adi Kurniawan Roza Mulyani Sakin, Kharisma Sari, Vivi Anggun Permata Sejati, Nawasari Indah Putri Siswahyudianto Soeleman, M. Arief Sucipto Sucipto Sucipto Sudarmi Sudarmi Sujito, Enro Sunarto Sunarto Sutrio Sutrio Sutrio Teguh Andriyanto Teguh Andriyanto, Teguh Tuti Hidayah Usdeka Muliani Utama, Hastari Vresti Rahma Dewi Wardani, Anita Sari Wibowo, Rizky Wiranata, Hadi Yahya, Taufik Nur Yunianto, Andi Eka Zahra, Afifah Az Zalfa, Darina