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All Journal Jurnal Ilmu Pertanian Bioma : Berkala Ilmiah Biologi Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati TABULARASA Biogenesis: Jurnal Ilmiah Biologi Indonesian Journal of Biotechnology Bioeksperimen: Jurnal Penelitian Biologi Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Journal of Tropical Biodiversity and Biotechnology MUDRA Jurnal Seni Budaya Biosaintifika: Journal of Biology & Biology Education NUSANTARA : Jurnal Ilmu Pengetahuan Sosial jurnal Ilmu Pertanian (Agricultural Science) Atrium Pendidikan Biologi Konstelasi: Konvergensi Teknologi dan Sistem Informasi Makara Journal of Science Riwayat: Educational Journal of History and Humanities
Kumala Dewi
Faculty of Biology, Gadjah Mada University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences Other

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Implementasi Model Deep Learning IndoBERT dengan Antarmuka Aplikasi Mobile untuk Deteksi Berita Hoaks Berbahasa Indonesia Wenang, Asta; Akbar Widianto, Krisna; Nugraha, Muhammad Egi; Rizki, Muhamad; Dewi, Kumala
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 5 No. 2 (2025): Desember 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v5i2.13250

Abstract

Penyebaran berita hoaks di internet semakin meningkat dan berpotensi menimbulkan kesalahpahaman serta keresahan dalam masyarakat. Salah satu tantangan yang dihadapi adalah sulitnya membedakan informasi yang valid dan yang menyesatkan, karena banyak hoaks dibuat dengan tampilan yang menyerupai berita resmi. Penelitian ini bertujuan menerapkan model deep learning IndoBERT untuk mendeteksi berita hoaks berbahasa Indonesia sekaligus mengintegrasikannya ke dalam prototipe aplikasi mobile agar dapat diuji secara praktis. Pendekatan yang digunakan meliputi eksperimen melalui tahapan pengumpulan data, pra-pemrosesan teks, pelatihan model, serta evaluasi kinerja menggunakan metrik akurasi, presisi, recall, dan F1-score. Dataset penelitian berasal dari kumpulan berita daring yang telah diberikan label hoaks dan nonhoaks. Hasil evaluasi menunjukkan bahwa model IndoBERT mampu mencapai akurasi 99% dengan nilai Area Under The Curve (AUC) sebesar 0,999, sehingga terbukti efektif untuk tugas klasifikasi teks. Model terlatih kemudian dihubungkan dengan backend Flask dan diuji melalui antarmuka Flutter, yang memungkinkan pengguna memasukkan teks berita dan memperoleh hasil klasifikasi secara langsung. Berdasarkan hasil tersebut, sistem ini berpotensi menjadi alat bantu verifikasi informasi yang cepat dan akurat dalam upaya menekan penyebaran hoaks di masyarakat.
Effect of Methyl Jasmonate on Vegetative Growth and Formation of Potato Tuber (Solanum tuberosum L. var. Granola) Rohmawati, Triana; Dewi, Kumala
Biogenesis: Jurnal Ilmiah Biologi Vol 7 No 1 (2019)
Publisher : Department of Biology, Faculty of Sci and Tech, Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/bio.v7i1.5112

Abstract

Potato (Solanum tuberosum L.) is one of the main commodities of food crops in Indonesia that are rich in vitamins, antioxidants, and carbohydrates. One of the most popular varieties of vegetable potatoes and become the leading varieties of producer farmers is Granola. Methyl jasmonate is a hormone known to modulate physiological events in plants such as encouraging tuber formation, functioning in vegetative development and fruit development. This study aims to evaluate the influence of methyl jasmonate on vegetative growth and potato tuber formation. In the fourth weeks, the methyl jasmonate applied with concentrations: 0 ppm (control), 12.5 ppm, 25 ppm, 50 ppm, 75 ppm, and 100 ppm. Measurement of plant height, number of leaves performed at the age of 4 weeks until the age of 7 weeks. The leaf area measured in seven weeks. The height of the plant measured in 4 weeks until 7 weeks. The leaf area measured in 7 weeks. Once the harvest performed, then measure the amount and weight of the tuber. Data were analyzed using ANOVA One way, if the data represent a significant difference, then continued with DMRT with an error rate of 5%. The results showed that methyl jasmonate administration generally had no effect on vegetative growth (plant height, leaf number, and leaf area) of the potato plant. The methyl jasmonate application tends to decrease the number of tubers formed but increases the size and weight of the tubers.
Co-Authors Akbar Widianto, Krisna Ari Indrianto Astuti, Yohana Theresia Darussalam Darussalam, Darussalam DIAH RACHMAWATI Edia Rahayuningsih Endang Sutariningsih ENDANG SUTARININGSIH SOETARTO Feliatra Ilmam, Hadyan Pratama Lutfi Irfan Dwidja Priyambada, Irfan Dwidja L Hartanto Nugroho, L Hartanto Lie, Gunardi Lila Natasaputra, Lila Mellisa Mellisa Moody Rizqy Syailendra Putra Muhamad Rizki Noor Aini Habibah Nugraha, Muhammad Egi Pamungkas, Mukmin Sapto Parmi P, Parmi Prawoto, A. Adi Refli Rintawati Sandradewi, Rintawati Rohmawati, Triana Santosa S, Santosa Santosa Santosa Sri Darmanti Sri Kasmiyati Sukarti Moeljopawiro Sukarti Muljopawiro, Sukarti Supriadianto, Supriadianto Wenang, Asta Wijanarka Wijanarka Wijayanti, Jihan Sekar Yayi Suryo Prabandari Yekti Asih Purwestri Yohana Theresia Maria Astuti, Yohana Theresia Maria