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All Journal Bulletin of Computer Science Research Abdi Jurnal Publikasi APPA : Jurnal Pengabdian Kepada Masyarakat
Okky Prasetia
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Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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PEMANFAATAN DIGITAL MARKETING UNTUK MENINGKATKAN BRAND AWARENESS TAMAN BACA MASYARAKAT (TBM) KOLONG CIPUTAT Gigih Amrillah Ibnurhus; Syaeful Machfud; Okky Prasetia
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 4 (2024): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Penelitian ini bertujuan untuk menganalisis dan mengimplementasikan strategi digital marketing dalam meningkatkan brand awareness Taman Baca Masyarakat (TBM) kolong Ciputat. Menggunakan pendekatan kualitatif dengan metode studi pustaka, penelitian ini mengkaji berbagai sumber literatur dan data sekunder terkait implementasi digital marketing pada TBM. Hasil penelitian menunjukkan bahwa hanya 45% TBM yang telah beradaptasi dengan transformasi digital, dengan 23% memiliki presence aktif di platform digital. Implementasi strategi digital marketing yang terstruktur terbukti dapat meningkatkan visibilitas TBM hingga 156% dalam aspek pertumbuhan pengunjung. Pengembangan konten digital yang relevan, optimalisasi platform media sosial, dan penggunaan tools digital marketing yang terjangkau menjadi kunci keberhasilan peningkatan brand awareness TBM kolong Ciputat. Penelitian ini merekomendasikan pentingnya pengembangan kapasitas pengelola TBM dalam kompetensi digital dan implementasi sistem monitoring evaluasi yang terukur untuk keberlanjutan program.
Klasifikasi Gender Berbasis Citra Wajah Menggunakan Clustering Dan Deep Learning Okky Prasetia; Syaeful Machfud; Rosyani, Perani; Bobi Agustian
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.581

Abstract

Gender classification based on facial images is a significant challenge in the field of computer vision, especially when dealing with unstructured data sourced from social media platforms. This study proposes an integrated approach combining facial image preprocessing, clustering methods, and deep learning to enhance the accuracy of gender classification. The dataset used was obtained from a Big Data Competition and consists of male and female face images sourced from Instagram. Preprocessing was performed using OpenCV for face detection and cropping. Subsequently, the data were clustered using K-Means and DBSCAN algorithms to reduce noise and redundancy. Gender classification was then conducted using a sequential learning model based on Inception_v3, enhanced with Agglomerative Clustering for feature refinement. The evaluation of the system demonstrated strong performance with an accuracy of 92.97%, F1-score of 0.89556, precision of 0.97727, and recall of 0.83069. These results confirm that the integration of clustering techniques and deep learning significantly improves the effectiveness of gender classification based on facial images, especially for open-source and non-curated datasets.
PENGENALAN DESIGN SYSTEM DENGAN FIGMA SEBAGAI UPAYA PENINGKATAN KOMPETENSI DESAIN DIGITAL SISWA REKAYASA PERANGKAT LUNAK DI SMK AL AMANAH KOTA TANGERANG SELATAN Muhammad Ilham Darmawan; Adelia Friskan Dita; Faisal Saputra; Linus Fister Waruwu; Muhammad Maula Albi B.; Meilandri Maulana; Muhammad Faisal Tanjung; Refaldo Wijaya; Rival Ardhita Ma’ruf; Okky Prasetia
Abdi Jurnal Publikasi Vol. 4 No. 3 (2026): Januari
Publisher : Abdi Jurnal Publikasi

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Abstract

The rapid development of digital technology demands the enhancement of systematic and professional interface design competencies, particularly for vocational high school students majoring in Software Engineering. One effective approach in digital design development is the use of a structured and consistent design system. This activity aims to introduce the concept of design systems and their implementation using Figma as an effort to improve the digital design competencies of Software Engineering students at SMK Al Amanah, South Tangerang City. The implementation method includes theoretical material delivery, demonstrations of Figma usage, and hands-on practice in developing a simple design system comprising color schemes, typography, icons, and user interface components. The results indicate that students gained a better understanding of the importance of design consistency and were able to apply design systems in designing application interfaces. In addition, the activity enhanced students’ skills in utilizing Figma as a collaborative design tool. Therefore, the introduction of Figma-based design systems can serve as an effective means of improving students’ digital design competencies and supporting their readiness to meet the demands of the information technology industry.
Co-Authors Adelia Friskan Dita Bobi Agustian Faisal Saputra Gigih Amrillah Ibnurhus Linus Fister Waruwu Meilandri Maulana Muhammad Faisal Tanjung Muhammad Ilham Darmawan Muhammad Maula Albi B. Perani Rosyani Refaldo Wijaya Rival Ardhita Ma’ruf Syaeful Machfud