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All Journal Jurnal Ilmu Komputer dan Informasi Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics JAIS (Journal of Applied Intelligent System) EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Bulletin of Electrical Engineering and Informatics Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Pengabdian Masyarakat Indonesia eProceedings of Engineering Journal of Future Artificial Intelligence and Technologies Sasambo: Jurnal Abdimas (Journal of Community Service) Proceeding of Community Service and Engagement
Farah Zakiyah Rahmanti
Telkom University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Public Health Social Sciences Other

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Aplikasi Android untuk Rekomendasi Pemilihan Buah Anggur Hijau Menggunakan VGG16 Nathanael Ferdian Putra Setyawan; Fauzan Nusyura; Ardian Yusuf Wicaksono; Farah Zakiyah Rahmanti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3152

Abstract

This study focuses on developing an Android-based recommender system using convolutional neural networks (CNNs) to select high-quality grapes. The main objective of this study is to compare the performance of two popular CNN architectures, VGG16 and ResNet18, in classifying the quality of sour grapes. The subjective and time-consuming nature of conventional methods prompted us to search for a more efficient solution.The dataset used consists of 282 images of green grapes. The evaluation results show that the VGG16 model achieves 93% accuracy in classifying grape quality, outperforming the ResNet18 model with only 82% accuracy. These results indicate that the VGG16 architecture is more suitable for this classification task. The development of this system is expected to contribute to smart agricultural automation to improve efficiency and support the food industry.
Implementasi Aplikasi Web Pemilihan Kelas Berdasarkan Minat Menggunakan Algoritma K-Means Clustering Clarenza Dixie Rose; Bernadus Anggo Seno Aji; Farah Zakiyah Rahmanti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3165

Abstract

Giki High School has a large number of 10th grade students and the need to provide class recommendations based on student interests in current subjects is done conventionally. This study aims to help schools make more informed decisions in class selection. This study implements a web application. The implementation of the category selection web application was created using the K-means Clustering algorithm and integrated into the web using Tkinter as the standard GUI library for Python. This implementation goal is to make school life easier to determine class recommendations for students. Results of the K-Means algorithm produce 4 clusters: Cluster 1 (Indonesian, Social Studies, and Mathematics), Cluster 2 (English), Cluster 3 (Indonesian and Science), Cluster 4 (English and Science) with the Silhouette Score results giving a score of 0.6233 which indicates that the score calculation is at 0 that the data point is the center of each cluster.
Pendampingan Terapis Anak Berkebutuhan Khusus (ABK) Terhadap Penggunaan Teknologi SMILE (Smart Mobile Inclusive Learning (SMILE): AI-driven Multipurposed Therapy for Disability Children) Farah Zakiyah Rahmanti; Endah Suryawati Ningrum; Moch. Iskandar Riansyah; Gede Aditra Pradnyana; Fayruz Rahma
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8549

Abstract

Kurangnya sumber daya manusia yang paham terhadap teknologi berbasis kecerdasan buatan dan visi komputer yang belum tersedia pada Yayasan Pembinaan Anak Cacat (YPAC). Oleh karena itu, kelompok pengabdian masyarakat yang terdiri dari beberapa dosen yang berasal dari berbagai universitas di Indonesia diantaranya dosen yang berasal dari Institut Teknologi Sepuluh Nopember (ITS), Politeknik Elektronika Negeri Surabaya (PENS), Universitas Telkom (Tel-U), Universitas Pendidikan Ganesha (UNDIKSA), dan Universitas Islam Indonesia (UII) memberikan pendampingan penggunaan teknologi SMILE kepada terapis ABK yang berada di YPAC Surabaya. SMILE merupakan teknologi berbasis kecerdasan buatan dan visi komputer yang terdapat mini komputer dan kamera. Perangkat keras tersebut bertujuan untuk mengenali tangan manusia yang akan digunakan untuk terapi ABK. Hasil yang telah dicapai yakni terapis dan ABK sebagai pengguna dari teknologi SMILE dapat menggunakan teknologi tersebut dengan baik.
Co-Authors Achmad Nuruddin Safriandono Adhitya Nugraha Adi, Prajanto Wahyu Ainin Fadlilah, Annisa Akhmad Dahlan Anas Ittaqullah Ardian Yusuf Wicaksono Ardyono Priyadi Arkav Juliandri Ataka, Ion Berliana Amelia Bernadus Anggo Seno AjiAji Clarenza Dixie Rose Daniel Happy Putra De Rosal Ignatius Moses Setiadi Dean Igo Wibowo Diah Puspito Wulandari Dimas Bagus Saputro Edy Winarno Eko Mulyanto Yuniarno Endah Suryawati Ningrum Fahri Firdausillah Fauzan Nusyura Fayruz Rahma Gede Aditra Pradnyana Helmy Widyantara Heru Agus Santoso Ignatia Indreswari Ilmirrizki Imaduddin Ion Ataka Iwan Setiawan Wibisono Juniyanto, Muhammad Ma'sum Khodijah Amiroh Kristoforus Ferel Viandito M. Rafi Hizdarandha Riswant Mauridhi Hery Purnomo Moch. Iskandar Riansyah Moch. Iskandar Riansyah Mohammad Hamim Zajuli Al Faroby Muhammad Adib Kamali Muhammad Ali Ridho Muhammad Hasan Basri Muhammad Iqbal Maulana Muhammad Najib Miftahul Huda Muhammad Rafi Irzam Nathanael Ferdian Putra Setyawan Novita Kurnia Ningrum Nurdin, Abdul Muhamin Nusyura, Fauzan Oddy Virgantara Putra Ojugo, Arnold Adimabua Oktavia Ayu Permata Pangestu Widodo, Pangestu Philip Tobianto Daely Prajanto Wahyu Adi Prajanto Wahyu Adi Ramadhan, Muhammad Akbar Rose, Clarenza Dixie Septian Enggar Sukmana Setyawan, Nathanael Ferdian Putra Tri Arief Sardjono Widi Pangestu Danar Wijanarko Wincoko Putro, Fidi Yohanes Setiawan