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All Journal JOIV : International Journal on Informatics Visualization Tech-E Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) PROFICIO: Jurnal Pengabdian Masyarakat Journal of Informatics and Communication Technology (JICT) IT For Society : Journal of Information Technology Jurnal Rekayasa elektrika Journal of Informatics and Communication Technology (JICT) Computer Journal Proceeding of Community Service and Engagement
Deny Haryadi
Universitas Telkom
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Mathematics Social Sciences Other

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IMPLEMENTASI SMART HYDROPONIC SYSTEM BERBASIS IOT SEBAGAI MODEL PEMBERDAYAAN SMART COMMUNITY DI PERUMAHAN GRIYA KREASI AQILLA Arif Rahman Hakim; Dewi Marini Umi Atmaja; Widang Muttaqin; Deny Haryadi; Adelia Chitra Sazkia; Daniswara Rafi Pandora
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6664

Abstract

Perkembangan kawasan perumahan perkotaan menyebabkan keterbatasan lahan produktif yang berdampak pada meningkatnya ketergantungan rumah tangga terhadap pasokan sayuran dari pasar, serta berkurangnya aktivitas produktif berbasis komunitas di lingkungan perumahan. Program Pengabdian kepada Masyarakat ini bertujuan mengimplementasikan Smart Hydroponic System berbasis Internet of Things (IoT) di Perumahan Griya Kreasi Aqilla, RT 03/RW 20, Desa Sukajaya, Kecamatan Cibitung, Kabupaten Bekasi sebagai solusi pertanian perkotaan sekaligus sarana pemberdayaan smart community. Sistem hidroponik memungkinkan budidaya tanaman tanpa tanah pada lahan terbatas seperti teras rumah atau halaman sempit, sedangkan teknologi IoT digunakan untuk membantu pemantauan kondisi tanaman secara lebih mudah dan terukur. Metode pelaksanaan menggunakan pendekatan partisipatif melalui tahapan persiapan dan identifikasi kebutuhan, perancangan solusi, implementasi sistem, pelatihan dan pendampingan, serta monitoring dan evaluasi. Masyarakat dilibatkan secara aktif dalam setiap tahapan agar mampu mengoperasikan sistem secara mandiri. Program ini diharapkan meningkatkan literasi teknologi masyarakat, kemandirian pangan, dan mendorong terciptanya ekosistem pembelajaran dan pemberdayaan yang berkelanjutan
Advancing Vehicle Logo Detection with DETR to Handle Small Logos and Low-Quality Images Rifky Fahrizal Ubaidillah; Mahmud Dwi Sulistiyo; Gamma Kosala; Ema Rachmawati; Deny Haryadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6236

Abstract

Image-based vehicle logo detection is an important component in the implementation of vehicle information recognition technology, which supports the development of intelligent transportation systems. Vehicle logos, as elements that represent the identities of vehicle brands and models, play a significant role in completing vehicle identity data. The information obtained from this logo can be utilized to solve various traffic problems, such as vehicle document counterfeiting and theft, and for better traffic planning and management purposes. However, the main challenge in developing an accurate logo detection system lies in the wide variety of shapes, sizes, and positions of logos in different types of vehicles. In addition, the generally small size of logos, especially on certain vehicles, often makes it difficult for computer-based detection systems to recognize logos consistently, thus affecting the overall performance of the detection model. In this research, the Detection Transformers (DETR) method is used to build a vehicle logo detection system that focuses on small-scale logo. The testing process was conducted using the VL-10 dataset, which was specifically designed for vehicle logo detection evaluation. The results show that the DETR model can detect vehicle logos very well, even for small-scale logos. The model achieved an AP50 value of 0.952, which indicates a high level of accuracy and reliability in detecting the vehicle logo in the dataset used.
Penerapan Metode OWASP IoT Top 10 dalam Analisis Kerentanan Keamanan Perangkat Internet of Things: Studi Kasus Smart Waste Arif Rahman Hakim; Rizki Surya Permana; Demi Adidrana; Hertanto Suryoprayogo; Deny Haryadi
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.471

Abstract

This study examines security vulnerabilities in a publicly accessible IoT-based smart waste system using Nmap, Wireshark, and OWASP ZAP to assess network services, packet traffic, and the web application layer. Results were mapped to the OWASP IoT Top 10 (2018). Because the assessment was external black-box testing without exploitation, the mapping is indicative rather than comprehensive. Nmap identified several active TCP ports, although only six open ports were explicitly documented. Wireshark captured 62,591 packets, indicating port-scanning activity and ongoing TCP communication. OWASP ZAP identified 14 web application weaknesses: six medium, five low, and three informational, with no high-risk findings. Four OWASP IoT Top 10 categories (I2, I3, I7, and I9) were supported by direct evidence, while I1 and I5 require further verification and I4, I6, I8, and I10 were outside the testing scope. Key risks involved insecure network services, default settings, and inadequate data protection during transmission and storage.
Co-Authors Adelia Chitra Sazkia Adi Kuncoro Adi Kuncoro Adisty Nilasari, Risma Al Zena Ismail Alan Abyan Maftuh Alfarhad Maulana Amat Basri Andri Ariyanto Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Arif Rahman Hakim Az Zahra, Nabila Rahmania Basri, Amat Counsela Evrilia, Sisilia Ratu Daniswara Rafi Pandora Demi Adidrana Dewi Marini Umi Atmaja Dwina Satrinia Ema Rachmawati Fiqry Firdhan Pratama Putra Gagas Ezhar Rahmayadi Gamma Kosala Haikal Apriandi Hertanto Suryoprayogo Ilham Roni Yansyah Irgi Shalby Ramadhani Mahmud Dwi Sulistiyo Maryam Laurannisa Williams Maulida, Ricka Muttaqin, Widang Netanel Danur Wendra Netanel Danur Wendra Putri Rizkiyah R. Bhima Danniswara Rania Zamrizq Rifky Fahrizal Ubaidillah Rila Mandala Rizki Surya Permana Sasmi Hidayatul Yulianing Tyas Seandy Arandiant Rozano Siti Zahrotul Fajriyah Surjadi, Valentino Kenny Syifa Nurgaida Yutia Valentino Kenny Surjadi Wendra, Netanel Danur Zhawa Kamela