Article Per Year (5 Year)
p-Index From 2021 - 2026
7.262
P-Index
This Author published in this journals
All Journal JURNAL GIZI INDONESIA Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Dinamika Penelitian Industri 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 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
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

Published : 62 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 62 Documents
Search

 3   4   5   6   7 
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 (In Press)
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.
Co-Authors Abdullah Abdullah Abunizar, Lutfi Adam, Rizal Syihab Saputra 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 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, Adinda Juwita Sari, Vivi Anggun Permata Sejati, Nawasari Indah Putri 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 Zalfa, Darina