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Analisis Penyebaran Hoaks di Media Sosial: Studi Kasus Kontroversi Story ‘Dihilangkan’ oleh Ferry Irwandi Alhafizh, Radhitya Arrayyan; Alfianto, Rayhan Ilham; Pramudya, Muhammad Diaz; Guritno, Dwiky; Augustia, Annisa Elfina
TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan Vol. 3 No. 3 (2025): TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Penelitian ini bertujuan untuk menganalisis proses penyebaran hoaks terkait hilangnya story pada akun media sosial Ferry Irwandi, suatu peristiwa yang menimbulkan spekulasi publik dan memicu terbentuknya misinformasi dalam ruang digital. Melalui pendekatan kualitatif deskriptif, penelitian ini mengevaluasi pola interaksi pengguna, alur pembentukan narasi, serta mekanisme komunikasi digital yang berkontribusi terhadap munculnya persepsi keliru. Pengumpulan data dilakukan melalui observasi digital dan analisis konten terhadap percakapan publik, yang kemudian diperkuat dengan kajian literatur mutakhir mengenai literasi digital dan etika profesi teknologi informasi. Hasil penelitian menunjukkan bahwa lemahnya kemampuan verifikasi informasi, kecenderungan bias kognitif, dan pengaruh echo chamber berperan signifikan dalam mempercepat sirkulasi hoaks. Selain itu, minimnya penerapan prinsip etika profesi TI, terutama terkait integritas, akurasi, dan tanggung jawab, turut memperburuk eskalasi misinformasi. Temuan ini menegaskan urgensi penguatan literasi digital dan internalisasi etika profesi TI sebagai strategi mitigatif dalam mencegah disinformasi di media sosial.
Evaluation of SDCA, LBFGS, LightGBM and FastTree in ML.NET for Diabetes Prediction Taufan, Resi; Ardiansyah, Fahmi; Augustia, Annisa Elfina
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 5 No. 2 (2026)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v5.i2.49517

Abstract

This study aims to develop a machine learning-based diabetes risk prediction model using the ML.NET framework. The dataset utilized is a balanced-split version of the 2015 BRFSS, consisting of 70,692 respondents and 21 health indicator variables. Two training approaches were applied to analyze model performance: a baseline with default parameters and hyperparameter tuning. The preprocessing stage involved combining variables into feature vectors, Min-Max normalization, and an 80:20 train-test data split. The models were trained using four algorithms: SDCA Logistic Regression, LBFGS Logistic Regression, LightGBM, and FastTree. Evaluation results showed that LightGBM with the hyperparameter tuning approach, delivered the most consistent performance, achieving 75.37% accuracy, 82.86% AUC, 76.22% F1-score, 72.92% precision, and 79.83% recall. Feature analysis confirmed that GenHlth, HighBP, BMI, HighChol, and Age contributed dominantly to diabetes risk, aligning with medical literature regarding metabolic factors. The best-performing LightGBM model was then integrated into a .NET-based prototype application with a Razor Pages web interface. The practical contribution of this research is proof of concept for machine learning integration into e-health systems to support early detection and digital prevention of diabetes complications in the future.
Co-Authors Abdillah, Dhea Hafizh Abiyyu, Fadlan Sidiq Adiwinata, Elang Prasetya Aeruna, Rafta Zharfan Agung Budi Santoso Agzia, Sevilla Makhay Akbar, Muhammad Ishafakhri Al Faiz, Daffa Rifqi Al-Hafizh, Fauzan Alfathiniro, Ibrahim Alfiansyah, Hafied Alfianto, Rayhan Ilham Alhafizh, Radhitya Arrayyan Aljuhdy, Muhammad Zidan Amal, Abdul Hakim Akhlisul Andini, Nur Rahma Ardiana, Muhammad Fauzan Ardiansyah, Fahmi Aris Munandar Aryanto, Fajar Nur Aziz, Muhammad Dafa Azmi, Muhammad Naufal Azmiani, Tinesya Nur Azwar, Irfan Ali Azzahra, Siska Nadya Bonggi, Reza Irfan Akmal Bungas, Ridho Maulana Cahyadi, Deni Catur Chaerian D, Muhammad Wildan U Damelina, Naomi Delima, Hibrida Destyana, Della Putri Djaenah, Ayu Efendi, Yanuar Wisnu Errisa, Andreansyah Fadliansyah, Fariz Fathoni, Achmad Iqbal Fauzan, Regan Febriyanto, Bimo Fikri, Mukhammad Alifio Giri, Martha Marcella Kerenhapukh Gunawan, Aufaldo Rifqi Guritno, Dwiky Guruh, Wijaya Hafiz, Fahri Sofian Hafizh, Damar Halizah, Elsa Haq, Arief Rifdul Hendrawan, Muhammad Habib Hibatullah, Muhammad Fauzan Hudoyo, Farhan Fachriza Ibad, Muhammad Nasikhul Ihsan, Rizky Nur Ilham, Yazid Ismail, Ridwan Kadarrusman, Muhammad Daffa Kurniawan, Farand Arja Kusumaningrum, Lintang Sekar Listiani, Desi Lumbantoruan, Adelina Lydya April Malik, Farid Abdul Marzuki, Muhammad Irfan Mubarok, Muhammad Khusni Muhammad Isa Anshori, Muhammad Isa MUHAMMAD RIZAL muhammad rizky, muhammad Muharrom, Nizar Mujsi, Aryaputra Daffa Muzakki, Sutan Navajo Aufa Nisa, Farisa Adhila Oktaviani, Evyta Opat, Aldimas Cipto Sanjaya Permata Sari, Sella Pratiwi Pramudya, Muhammad Diaz Prasetia, Diki Pratama, Bimo Aria Putra, Ahmad Dhani Afta Putra, Rezka Liduaka Putri, Violanda Junita R, Arfan Prihandika Rachman, Muhammad Rahman, Tubagus Aulia Rahman, Zaidul Khoir Ramadhan, Arijun Fadlan Ramadhan, Dimas Kusuma Ramadhan, Faisal Dwiky Ramadhan, Goro Aji Ramadhan, Muhammad Nugi Ramadhan, Riski Dwi Refanata, Dimas Faozan Rengkung, Angela Nazareta Octaviani Rifaldy, Naufal Riordan, Farrel Elshida Rizki Tri Wahyudi Rosyadi, Ahmad Irsyad Saleh, Farhan Dinar Sayyidina Sandhi, Rangga Kurnia Saputra, Abila Saputra, Adila Saputra, Isal Guntur Saputra, Rendi Hari Saputra, Tobi Satriani, Arsyandi Septiandika, Yusuf Fadilah Septiawan, Ade Irvan Solih, Fathur Rohman Syahrevi, Muhammad Syaputri, Milinia Tanyones, Jevon Bryant Taufan, Resi Tazkia, Agita Rahma Tefa, Janeta Trizaqi, M. Rafi Budi Tsaqif, Muhammad Rafi’al Vahlefy, Risyad Valianda, Yerllisya Zharfa Amorita Wibowo, Dimas Kartiko Wibowo, Rafif Thoriq Yuharian, Ridho Alfiansyah Yuliasari, Alwina Eka