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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Informasi dan Ilmu Komputer POSITIF RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) METIK JURNAL Vocatech : Vocational Education and Technology Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika JURNAL ILMIAH GLOBAL EDUCATION Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Minfo Polgan (JMP) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Variasi : Majalah Ilmiah Universitas Almuslim MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal of Deep Learning, Computer Vision and Digital Image Processing Journal of Advanced Computer Knowledge and Algorithms Journal Serambi Engineering (JSE) Jurnal Elektro dan Teknologi Informasi Bulletin of Engineering Science, Technology and Industry Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Buletin Pengabdian
Zara Yunizar
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Integration of named entity recognition and latent Dirichlet allocation for extracting cyberbullying issues on X Juanda Pratama; Defry Hamdhana; Zara Yunizar
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 2 June 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i2.1528

Abstract

Purpose – The rapid growth of social media Platform X has increased the risk of cyberbullying, which is difficult to detect due to the unstructured nature of textual data. This study proposes an integration of Named Entity Recognition (NER) and Latent Dirichlet Allocation (LDA) to support the extraction of cyberbullying-related social issues.Methods – A total of 2,000 tweets were processed through preprocessing, spaCy-based entity extraction, TF-IDF weighting, and LDA topic modeling. The latent topics generated by LDA were manually mapped into four predefined categories (Bodyshaming, Racism, Gender, and Neutral) and evaluated against researcher-annotated ground truth labels.Findings – Experimental results achieved an overall accuracy of 80%, with F1-scores of 94% for Racism, 93% for Gender, 70% for Bodyshaming, and 63% for Neutral.Research implications – The proposed framework provides practical support for monitoring cyberbullying patterns and assisting policymakers in understanding online social issues.Originality – The originality of this research lies in the sequential integration of NER as an entity-filtering stage prior to LDA, enabling a more comprehensive analysis of cyberbullying discussions than the isolated application of either method.
Clustering Status Pemberian Imunisasi Dasar Di Dinas Kesehatan Kabupaten Bireuen Menggunakan Metode K-Medoids NinaUlfauza; Zara Yunizar; Fajriana
JETI (Jurnal Elektro dan Teknologi Informasi) Vol. 3 No. 1 (2024): Jurnal Elektro dan Teknologi Informasi: APRIL 2024
Publisher : Program Studi Teknik Elektro Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jeti.v1i1.386

Abstract

Abstrak— Imunisasi dasar merupakan salah satu upaya dalam mencegah penyakit menular pada anak-anak. Penelitian ini berfokus pada analisis status pemberian imunisasi di Dinas Kesehatan Kabupaten Bireuen. Metode yang digunakan adalah K-Medoids dengan data imunisasi dasar anak usia 0-5 tahun dari tahun 2020 hingga 2022. Hasilnya mengidentifikasi tiga cluster: Selesai, Belum Selesai, dan Tidak Selesai. Aplikasi berbasis web dirancang menggunakan DFD, JavaScript, Python, dan MySQL. Dari hasil penelitian, terlihat perbedaan status pemberian imunisasi dasar di Kabupaten Bireuen pada tahun-tahun tersebut. Informasi ini dapat menjadi dasar untuk merancang strategi peningkatan cakupan imunisasi dasar di wilayah tersebut. Kesimpulan dari penelitian ini memberikan pandangan yang jelas tentang distribusi dan ketersediaan imunisasi dasar, yang dapat membantu Dinas Kesehatan dalam mengoptimalkan upaya pencegahan penyakit melalui imunisasi. Kata kunci: Imunisasi dasar, k-medoids, status pemberian imunisasi, clustering.
Implementation of Convolutional Neural Network for Leaf Disease Detection in Cayenne Pepper Plantsaper Ayu Suningsih; Zara Yunizar; Rizki Suwanda
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cayenne pepper (Capsicum frutescens L.) is an economically important horticultural crop in Indonesia; however, its productivity is frequently affected by leaf diseases, including leaf curl, leaf spot, and yellow leaf disease. Conventional disease identification mainly relies on visual inspection, making the diagnosis highly dependent on farmers’ experience and increasing the possibility of inaccurate identification and delayed treatment. This study proposes a Convolutional Neural Network (CNN)-based approach for automatic chili leaf disease classification and implements the trained model in an Android application for offline real-time detection. A total of 2,000 images were collected from chili plantations located in Lhokseumawe City and Aceh Tamiang Regency. The dataset was organized into five balanced categories, namely healthy leaf, leaf curl, leaf spot, yellow leaf, and non-leaf, with 400 images assigned to each category. The addition of a non-leaf category enables the application to distinguish chili leaves from irrelevant objects during mobile-based detection. Before training, all images were resized to 150 × 150 pixels, normalized, and partitioned into training, validation, and testing sets using an 80:10:10 ratio. The proposed CNN architecture comprised three convolutional layers followed by max-pooling layers, a flatten layer, a fully connected layer, a dropout layer, and a Softmax output layer. Experimental evaluation on the testing dataset produced an overall accuracy of 89.50%, while the macro-average precision, recall, and F1-score reached 90%, 89%, and 89%, respectively. The trained model was successfully converted into TensorFlow Lite (TFLite) format and integrated into an Android application capable of providing real-time disease prediction, confidence scores, disease descriptions, treatment recommendations, and detection history without requiring an Internet connection. These results indicate that the proposed system is suitable for practical field deployment to support early identification of chili leaf diseases.
Co-Authors ,, Iqbal ,, Maulidasari ,, Zulaifani ., Yulisma Agil, Helvina Aidilof, Hafizh Al Kautsar Aidilof, Hafizh Al-Kautsar Aisah, Sri Purwani Alfisyahrin Amelia, Ulva Aminsyah, Ansharulhaq Andra Munandar Arief Fazillah Arif H., Nanda Nan Arnawan Hasibuan Asran Asran Ayu Suningsih Bariah, Hairul Bustami Bustami Cindy Rahayu Dahlan Abdullah Devi, Salma Dhyra Gibran Alinda Dr M Rajeswari Elma Fitria Ananda ERNAWITA ERNAWITA Ersa, Nanda Savira Eva Darnila Ezra Sasqia Syahna Fadlisyah Fadlisyah Fajri, Riyadhul Fajri, Ryadhul Fajriana, Fajriana Fardiansyah, T. Fasdarsyah Fasdarsyah Fatimah Zuhra Fatimah Zuhra Fatimah Zuhra Febi Anriani Fuadi, Wahyu Gilang Wahyu Ramadhan Gilang Hafidh Rafif, Teuku Muhammad Hafizh Al Kautsar Aidilof Hamdhana, Defry Harahap, Ilham Taruna Hasan, Phadlin HENDRA ZULKIFLI Herman Fithra Irshad Ahmad Reshi Johan, T. M. Juanda Pratama Kartika Kartika Kurnia Amanda, Destiara Lidya Rosnita M Ishlah Buana Angkasa M. Fauzan M.Cs, Iqbal, Maghfirah Maghfirah Maha, Dedi Torang P Mahara, Sabda Mahendra Febriliansyah Maizuar Maizuar Maryana Maryana, Maryana Maulana Helmi, Fathan Maulana, O.K.Muhammad Majid Maulida Yani Siregar Melizar Meutia Rahmi Misbahul Jannah Muhammad Daud Muhammad Fauzan Muhammad Fikry Muhammad Ikhwani Muhammad Muhammad Muharni Muharni Mukhlis Mukhlis Mukhlis Mulaesyi, Syibbran Munar, Munar Munirul Ula Mursyidah Mursyidah MUTHMAINNAH Muthmainnah Muthmainnah Nanda Nan Arif H Nazwa Aulia NinaUlfauza Nunsina, Nunsina Nur Mauliza Nura Usrina Nurdin Nurdin Nuryawan, Nuryawan OK Muhammad Majid Maulana Majid Putri, Riska Yolanda Ramadhana Juseva Reza Pratama Ridha, Ridha Rifkial Iqwal Rini Meiyanti Ritonga, Huan Margana Rizal S.Si., M.IT, Rizal Rizal Tjut Adek Rizki Suwanda Rizky Almunadiansyah Rizky Putra Fhonna Rizky, Rahmat Rizkya, Dini Dara Rozzi Kesuma Dinata Rusnani Rusnani Rusniati Rusniati Ruwaida Ruwaida Safwandi Safwandi Said Fadlan Anshari Savira Ersa, Nanda Silvia Nanda Siregar, Winda Ramadhani Sriana, Anis Subhan Hartanto Suci Fitriani, Suci Sujacka Retno Sutri Wandani Syintia, Icut Tarigan, Tasya Amelia Taufiq Taufiq Tejas Shinde Tjut Adek, Rizal Wahyu Fuadi Walad Hidayat Yanti, Winda Yesy Afrillia Zahratul Fitri Zalfie Ardian Zulnazri Zulsuhendra, Edi