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Impact of Segmentation and Popularity-based Cache Replacement Policies on Named Data Networking Negara, Ridha Muldina; Wasesa, Novan Purba; Muhammad, Zaid; Mayasari, Ratna; Astuti, Sri
Jurnal Rekayasa Elektrika Vol 20, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i1.34309

Abstract

The data distribution mechanism of internet protocol (IP) technology is inefficient because it necessitates the user to await a response from the server. Named data networking (NDN) is a cutting-edge technology being assessed for enhancing IP networks, primarily because it incorporates a data packet caching technique on every router. However, the effectiveness of this approach is highly dependent on the router's content capacity, thus requiring the use data replacement mechanism when the router capacity is full. The least recently used (LRU) method is employed for cache replacement policy; yet, it is considered ineffective as it neglects the content's popularity. The LRU algorithm replaces the infrequently requested data, leading to inefficient caching of popular data when multiple users constantly request it. To address this problem, we propose a segmented LRU (SLRU) replacement strategy that considers content popularity. The SLRU will evaluate both popular content and content that has previously been popular in two segment categories, namely the probationary and protected segments. Icarus simulator was used to evaluate multiple comprehensive scenarios. Our experimental results show that the SLRU obtains a better cache hit ratio (CHR) and able to minimize latency and link load compared to existing cache replacement policies such as First In, First Out (FIFO), LRU, and Climb.
Analisis Optimasi Algoritma IP Hash pada P4 Menggunakan Algoritma Round Robin Baihaqi, Mohammad Rifki; Negara, Ridha Muldina; Tulloh, Rohmat
eProceedings of Engineering Vol. 10 No. 4 (2023): Agustus 2023
Publisher : eProceedings of Engineering

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

Abstract

Load balancing adalah mekanisme untuk membagi beban komputasi ke beberapa server. Load balancing ini bertujuan untuk mengoptimalkan resource dan meningkatkan throughput agar server tidak mengalami overload. Software Defined Network (SDN) adalah teknologi jaringan komputer yang memisahkan fungsi Data Plane dan control plane. Protokol OpenFlow digunakan untuk mengontrol/mengelola arus lalu lintas, tetapi OpenFlow ini telah ditentukan dan tidak dapat diubah atau dimodifikasi. Untuk mengatasi masalah di atas, Programming Protocolindependent Packet Processors (P4) adalah bahasa pemrograman untuk pemrograman top-down yang dapat menentukan bagaimana pipeline pada switch bekerja dan bagaimana paket-paket ini dapat diproses. P4 ini dapat mengatasi kelemahan OpenFlow yang kurang fleksibel dalam mengontrol/mengatur arus trafik dan memungkinkan berjalannya proses load-balancing. Pada Tugas Akhir ini telah dilakukan simulasi dan analisis load balancing pada infrastruktur jaringan yang dapat diprogram berbasis bahasa P4. Algoritma round-robin dengan P4 memiliki nilai throughput rata-rata 127,61 KB/s. Algoritma hash IP dengan P4 memiliki nilai throughput rata-rata 127,50 KB/s. Algoritma round robin memiliki nilai response time rata-rata 3,13 ms; pada algoritma hash IP, nilai rata-ratanya adalah 12,16 ms. Nilai response time sistem berbasis P4 dengan algoritma round robin lebih baik daripada algoritma hash IP, dan request loss kedua sistem dapat mendistribusikan request dengan baik sehingga request loss sebesar 0%.Kata Kunci—load balancing, data plane, P4, round robin, IP hash
Implementasi Presensi Siswa Berbasis Machine Learning Di SMK Telekomunikasi Telesandi Bekasi Suci Aulia; Sugondo Hadiyoso; Ridha Muldina Negara; Aulia Ayu Dyah Lestari; Audry Stevany; Patricia Lovenia Garcia; Muhammad Alfachri Akbar
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 5 No. 2 (2025): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v5i2.10334

Abstract

Sistem presensi manual berbasis kertas yang masih digunakan di SMK Telekomunikasi Telesandi Bekasi menimbulkan berbagai permasalahan seperti proses double entry yang memakan waktu, kerentanan terhadap kesalahan pencatatan, dan keterlambatan pelaporan data kehadiran. Penelitian ini bertujuan mengimplementasikan sistem presensi siswa berbasis Machine Learning menggunakan teknologi deteksi wajah dan deteksi senyuman untuk meningkatkan efisiensi administrasi sekolah. Metodologi penelitian menggunakan pendekatan partisipatif yang melibatkan pihak sekolah pada setiap tahapan, mulai dari diskusi awal, pengumpulan dan analisis data, pengembangan sistem berbasis Python dan OpenCV, pelatihan dan sosialisasi, hingga evaluasi dan monitoring implementasi. Sistem yang dikembangkan terdiri dari tiga komponen utama yaitu aplikasi presensi berbasis Python dan OpenCV, model deteksi wajah serta senyuman sebagai validator presensi, dan dashboard web berbasis cloud untuk pemantauan kehadiran. Hasil implementasi menunjukkan bahwa fitur pendeteksian wajah, pembuatan dataset, dan proses face recognition berjalan dengan baik meskipun modul penyimpanan otomatis ke cloud masih dalam tahap pengembangan. Evaluasi melalui post-test terhadap 142 responden menunjukkan mayoritas peserta memberikan respons positif dan mengalami peningkatan pemahaman konsep Machine Learning. Sistem ini berhasil meningkatkan efisiensi proses presensi, mengurangi ketergantungan pencatatan manual, serta meningkatkan literasi teknologi siswa dan guru dalam bidang Artificial Intelligence, Computer Vision, dan pemrograman Python yang selaras dengan pendidikan vokasi berbasis teknologi.
Training on the Utilization of E-Commerce Technology and Product Design for Processed Mangrove Products at LKP Walidayna Ridha Muldina Negara; Rohmat Tulloh; Sri Astuti; Ratna Mayasari; Pramitha Aulia; Nadya Moeliono
Journal of Innovation and Community Engagement Vol. 5 No. 2 (2024)
Publisher : Faculty of Smart Technology and Engineering, Universitas Kristen Maranatha, Bandung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/ice.v5i2.8158

Abstract

The coastal area of Medan Marelan District in Medan City, North Sumatra Province, has extensive mangrove forests that have not been fully utilized. LKP Walidayna supports the empowerment program for productive communities in the coastal areas of Medan City. Currently, LKP Walidayna has provided training on processing mangrove fruits to the community, turning them into various processed food products such as Mangrove Pudding, Mangrove Syrup, Mangrove Jam, and Mangrove Dodol. The vocational training institution (LKP) is one form of non-formal education that communities can utilize to enhance quality, skills, and productivity. However, LKP Walidayna faces limitations, including the lack of effective information media to market its products more widely. Therefore, the proposed solution is the creation of a website and e-commerce platform to promote LKP Walidayna's mangrove products using effective and attractive marketing techniques. The e-commerce platform would contain information about activities, especially the processing of mangrove products. Based on feedback from participants in the product design and marketing strategy training for processed mangrove products through the website, it is concluded that the conducted training activities align with the needs of LKP Walidayna. LKP Walidayna expressed satisfaction with the visually appealing and user-friendly website.
Training Introduction to Simple Robots for Kindergarten Child as a Tool in Improving Children’s Psychomotoric Abilities Ratna Mayasari; Sri Astuti; Ridha Muldina Negara; Rohmat Tulloh; Dwi Andi Nurmantris
Journal of Innovation and Community Engagement Vol. 6 No. 3 (2025)
Publisher : Faculty of Smart Technology and Engineering, Universitas Kristen Maranatha, Bandung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/ice.v6i3.9434

Abstract

Early childhood education plays an important role in forming the basis of children's development, including their psychomotor development. Early childhood education (PAUD) teachers at PG & TKIT Little Moslem have a big responsibility in creating a learning environment that supports children's holistic development. However, they often face challenges in choosing effective learning methods, especially when it comes to integrating modern technology. In this context, the use of robotics as a learning aid offers great potential for improving children's psychomotor abilities at an early age. Training on introducing simple robots to teachers at PG & TKIT Little Moslem is a relevant solution to overcome this problem. This training aims to provide knowledge, skills, and understanding of the basic concepts of robotics and how to integrate them into early childhood learning activities. In this way, teachers can create more engaging, interactive, and effective learning experiences for their students.
Implementasi Teknologi Content Delivery Network (CDN) Sebagai Akselerasi Digitalisasi Sekolah Nana Rachmana Syambas; Syaiful Ahdan; Eki Ahmad Zaki Hamidi; Ridha Muldina Negara; Ratna Mayasari; Ade Nurhayati; Galih Nugraha Nurkahfi; Jupriyadi Jupriyadi; Adi Sucipto; Hasan Nur Arifin; Rohmat Tulloh
GUYUB: Journal of Community Engagement Vol 6, No 1 (2025): Maret
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i1.9812

Abstract

Abstract. This community service program aims to accelerate the digitalization of education in Pesisir Barat Regency, Lampung Province, through the implementation of Content Delivery Network (CDN) technology using Starlink services and the Learning Management System (LMS) Moodle. The 3T areas (frontier, outermost, and underdeveloped) in this region face infrastructure challenges that hinder stable and fast internet access, which is crucial to support technology-based learning processes. This program involves the installation of network devices, such as Starlink for stable internet access, gigabit switches, and the integration of the Moodle-based e-learning system. Additionally, intensive training is provided to teachers, administrators, and students on using Moodle as a digital learning platform and managing technology-based educational content. The program's success is measured through several parameters, including internet stability and speed, the improvement of digital skills among teachers and students, and the adoption and utilization rates of LMS Moodle in the learning process. Speed test results show a significant improvement. Survey results indicate a substantial impact on teachers' digital literacy. Based on questionnaires distributed to a total of 30 training participants, 60% (18 participants) reported being very satisfied with the alignment of the training materials with their needs. Regarding the delivery of the materials, 63.33% (19 participants) were very satisfied, 26.67% (8 participants) were satisfied, 6.66% (2 participants) were neutral, and 3.33% (1 participant) were very dissatisfied. Direct observation during the implementation showed that teachers could effectively utilize Moodle LMS to manage digital classes. They were trained to create and organize teaching materials, assign tasks, and monitor student progress. This evaluation also highlights the potential for replicating and sustaining the program in other schools within similar regions. Through this evaluation approach, the program is expected to have a tangible impact on improving the quality of learning, expanding digital access, and serving as a model for implementation in other 3T areas across Indonesia.
Performance Evaluation of 5G C-V2X for V2V in Semi-Enclosed Environments Ridha Muldina Negara; Muhammad Alfian Alfarizi; Mochammad Hakim Al Irsyad; Muhammad Ilham; Nicholai Dandy Nainggolan; Rohmat Tulloh
Engineering Science Letter Vol. 5 No. 03 (2026): Engineering Science Letter - Articles in Press
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.002268

Abstract

The rapid advancement of 5G technology has accelerated the development of vehicular networks, where reliable Vehicle-to-Vehicle (V2V) communication is essential for intelligent transportation systems. This study evaluates the performance of Cellular Vehicle-to-Everything (C-V2X)-based V2V communication using a trace-driven simulation approach in a semi-enclosed environment. A realistic mobility model is generated using Simulation of Urban Mobility (SUMO) based on OpenStreetMap data and integrated with the WiLabV2Xsim simulator implementing the 3GPP C-V2X Mode 4 standard. The evaluation is conducted using Packet Reception Ratio (PRR), Channel Busy Ratio (CBR), and packet delay under varying vehicular densities. The results show that increasing vehicle density leads to a significant degradation in PRR while increasing CBR and delay, indicating higher channel congestion and communication interference. Increasing bandwidth improves communication reliability, whereas higher transmission power provides limited benefits in dense scenarios. These findings highlight the importance of efficient resource allocation and congestion-aware mechanisms to ensure reliable V2V communication in 5G-enabled vehicular networks. However, this study is limited to simulation-based evaluation and does not consider real-world deployment constraints. The study contributes to understanding the scalability and performance behavior of C-V2X systems in realistic vehicular environments.
Co-Authors ., Ridwan Abu Riza Sudiyatmoko Abu Riza Sudiyatmoko, Abu Riza Ade Nurhayati, Ade Adi Sucipto, Adi Adinda Riztia Putri Ammatia Risty Ammatia Risty, Ammatia Ana Oktaviana Ana Oktaviana Ana Oktaviana, Ana Andi Achmad Akbar Wisani Andre Rizki Dewo Nugraha Anisia, Rianda Arif Faturrachman Arif Indra Irawan Arif Nur Hidayat Arif Nur Hidayat, Arif Nur Arifiana Satya Nastiti Asep Mulyana Asep Mulyana Assyifavi, Shofia Audry Stevany Audy Septarindra Aulia Ayu Dyah Lestari Baihaqi, Mohammad Rifki Budiana, Mochamad Soebagja Danastri Ratna Nursanti Dewi Danu Dwi Sanjoyo Dewanto, Ramadhika Dimitri Mahayana DJOMI, MANZILA IZNIARDI Doan Perdana DWI ANDI NURMANTRIS Edgar Giovanni Ariestawan Eki Ahmad Zaki Hamidi Elfarizi, Sayid Huseini Elsa Mustikawati Faishal Yusuf Baqir Fakhri Rahmatullah Faturrachman, Arif Favian Dewanta Febri Surya Hadi Galih Nugraha Nurkahfi Goklas Giovanni Sitompul Haidlir Achmad Naqvi Halimah Tussyadiah Hardika Kusuma Putri Hasan Nur Arifin Hurianti Vidyaningtyas I Gede Agus Surya Negara I Putu Yasa I Putu Yasa Icha Nurlaela Khoerotunisa Indrarini Dyah Irawati Iqbal Firda Rusdiansyah Jupriyadi, Jupriyadi Kharisma Bani Adam Kusuma Putri, Hardika Larasati, Harashta Tatimma Leanna Vidya Yovita Lenna Vidya Yovita Manzila Izniardi Djomi Mirdan Syahid Mulya Sudrajat Mochammad Hakim Al Irsyad Muhammad Al Makky Muhammad Alfachri Akbar Muhammad Alfian Alfarizi Muhammad Dimas Arfianto Muhammad Dimas Arfianto, Muhammad Dimas Muhammad Fihri Muhammad Ilham Muhammad Irfan Denatama Muhammad Irfan Denatama, Muhammad Irfan Muhammad, Zaid Mustikawati, Elsa Nachwan Mufti Adriansyah Nadya Moeliono Nana Rachmana Syambas Nastiti, Arifiana Satya Negara, I Gede Agus Surya Nicholai Dandy Nainggolan Nugraha, Andre Rizki Dewo Nyoman Bogi Aditya Karna Oki Marzuqi Pande Putu Kika Adi Saputra Parman Sukarno Patricia Lovenia Garcia Pramitha Aulia PRASETIA, RENDI DIAN Puji Dwika Pradana Putra, Made Adi Paramartha Putri Monika Rahadiansyah, Muhammad Fadhil Rahmat Yasirandi Rahmatullah, Fakhri Ramadhika Dewanto Ramadhika Dewanto Ratna Mayasari Rein Rachman Putra Rendy Munad Rendy Munadi Revan Faredha Aswariza Revan Faredha Aswariza, Revan Faredha Reza Lutfi Ananda Rianda Anisia Rianda Anisia Ridwan . Rifqi Fadillah Rahmadayansya Rio Guntur Utomo Rizka Darmawan Dwi Putra ROHMAT TULLOH Ruli Erinton Salwa Aulia Farida Y Sayid Huseini Elfarizi Setia Juli Irzal Ismail Sofia Naning Hertiana Sri Astuti Sri Astuti Sri Rezeki Suci Aulia Sugondo Hadiyoso Sussi Syaiful Ahdan Tadila Fadil Toni Kusnandar Tri Reza Gading Tri Reza Gading Triani Wulandari Triani Wulandari Triartono, Zehan Uke Kurniawan Usman Veby Riza Fransiska Wasesa, Novan Purba Wildan Maulana Xavier Samuel MFP Yeni Sanovia Yuanita Indah Putri Yudha Widiyanto YULI SUN HARIYANI Zehan Triartono Zufar Dhiyaulhaq