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All Journal JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi InComTech: Jurnal Telekomunikasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Cerdas TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Journal of Information Systems and Informatics Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) INTEGRITAS : Jurnal Pengabdian Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Networks, Architecture and High Performance Computing REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal La Multiapp KLIK: Kajian Ilmiah Informatika dan Komputer Paradigma EPSILON: Journal of Electrical Engineering and Information Technology J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Ranah Research : Journal of Multidisciplinary Research and Development Jurnal INFOTEL Telecommunications, Networks, Electronics, and Computer Technologies (TELNECT) Integrated : Journal Of Information Technology and Vocational Education
Galura Muhammad Suranegara
Universitas Pendidikan Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Other

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Implementasi Algoritma Genetika Proses Mutasi Differential Evolution Pada Sistem Penjadwalan Mata Pelajaran Meiliya Cahya Yustina; Ichwan Nul Ichsan; Galura Muhammad Suranegara
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2109

Abstract

Making schedules at SMAN 2 Purwakarta requires extra effort due to the large number of classes and teachers. The current scheduling system uses two different software namely Asc Timetables and Microsoft Excel. The use of both software is inefficient and error-prone. The two software cannot be connected to each other so that the creation of schedules must be separate and requires a lot of time in synchronization which has an impact on the quality of learning obtained by students. To overcome this problem, an integrated scheduling system is needed that can work automatically and efficiently in one system. This research aims to create a scheduling system that is made automatically with optimization methods. One of the optimization methods is Genetic Algorithm and Differential Evolution. The terminology used is the initial population, calculate fitness, selection, crossover, mutation and iteration. So that the implementation of the system in this study uses a genetic algorithm with a differential evolution mutation process. The method used is using the Software Development Life Cycle (SDLC) with a waterfall development model. The results of the application of the genetic algorithm with the differential evolution mutation process show that the schedule generation meets the limitations for more optimal results. The limitation is that there should be no schedule clashes between teachers in the same hours and days. Based on the test results using SUS, the system gets a score from the SUS calculation which is 69.1. From this score get the weight of the SUS Grade Scale score “B” and Adjective Rating “Good”. So that it requires further development on the system. However, with this category the system is feasible to use if based on SUS testing.
Workshop Pengembangan Alat Permainan Edukatif Berbasis Teknologi Menggunakan Book Creator Guna Mengenalkan Jati Diri Anak Di Tk Purnama Purwakarta Nikawanti, Gia; Jayadinata, Asep Kurnia; Maranatha, Jojor Renta; Suranegara, Galura Muhammad; Fadillah, Khoerunnisa Nur; Jamilah, Nur Asy-Syifa; Rahman, Fadhila Dwi
INTEGRITAS : Jurnal Pengabdian Vol 8 No 2 (2024): AGUSTUS - DESEMBER
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v8i2.5110

Abstract

Tujuan kegiatan pengabdian pada masyarakat ini adalah untuk meningkatkan kemampuan orangtua dalam memilih, membuat, dan menggunakan APE book creator yang berbasis teknologi guna memenuhi kebutuhan orangtua dalam menciptakan materi pendidikan yang menarik, bermanfaat, dan kreatif. Kegiatan pengabdian ini dilaksanakan di TK Purnama yang berada di Kecamatan Purwakarta Kabupaten Purwakarta. Hasil dari kegiatan ini adalah terwujudnya pengetahuan dan keterampilan orangtua dalam memanfaatkan aplikasi book creator sebagai upaya menanamkan jati diri pada anak usia dini.
SRCNN-based image transmission for autonomous vehicles in limited network areas Afina Carmelya, Anindya; Suryadi Satyawan, Arief; Muhammad Suranegara, Galura; Mirza Etnisa Haqiqi, Mokhamamad; Susilawati, Helfy; Alam Hamdani, Nizar; Dani Prasetyo Adi, Puput
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp903-912

Abstract

High-quality images are crucial for navigation, obstacle detection, and environmental understanding, but transmitting high-resolution images over constrained networks presents significant challenges. This study introduces an image transmission system using super-resolution convolutional neural networks (SRCNN) to enhance image quality without increasing bandwidth requirements by transmitting low-resolution images and upscaling them with SRCNN. The first phase of the research involved data collection, in which information was acquired directly from an appropriate locus to produce training, validation, and testing datasets. The second, three SRCNN models (915, 935, and 955) were trained using such a training dataset. The last was an evaluation, in which model 915 showed quick learning and stable performance with initial high loss, while model 935 had rapid convergence but potential overfitting. Model 955 achieved high initial performance. Three SRCNN model configurations were tailored to the specific needs of autonomous electric vehicles operating in limited areas, such as the locus. Input image resolution ranged from 128×128 pixels to 256×256 pixels, while output resolution varied from 256×256 pixels to 512×512 pixels. These resolutions can be acceptable for efficient image transmission over IEEE 802.11ac, but on the long range (LoRa) network, it still produces some delay.
Analysis and Comparison of Server Migration Performance on Amazon Web Services and Google Cloud Platform Yovanka, Diva Nuranty; Suranegara, Galura Muhammad; Setyowati, Endah
Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i6.1824

Abstract

Cloud computing has emerged as a technology increasingly embraced by numerous enterprises to operate servers with high availability. The multi-cloud strategy is increasingly employed to manage servers across various platforms, guaranteeing service continuity despite disruptions on any single platform. This study analyzes and compares the migration performance of Amazon Web Services (AWS) and Google Cloud Platform (GCP) across two scenarios: migration in a homogeneous environment and migration in a heterogeneous environment, utilizing the metrics of migration time and downtime. According to the research findings, in homogenous environment migration, GCP excelled in both migration duration and downtime. In heterogeneous environment migration, AWS demonstrated superior migration speed.
Design of Monitoring and Fire Extinguishing System Based on the Internet of Things in Unmanned Vehicles Agustin, Sarah; Muhammad Suranegara, Galura; Setyowati, Endah
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.461

Abstract

Currently, people are often unaware of the existence of hotspots or gas leaks in the house which can trigger large fires in the house. Therefore, this research focuses on designing a fire monitoring and extinguishing system that can detect early IoT-based fires using the SIM800L GSM module on unmanned vehicles to detect fires and immediately extinguish them, accompanied by sending emergency messages via the SMS application on smartphones. As a warning, a fire has been detected in the house so that people can be more alert. In addition, this system is designed so that the vehicle can be controlled remotely using the HC-06 Bluetooth module and Bluetooth RC Car. This early fire detection process will be tested 30 times, each sample will be tested for the time speed obtained in detecting and extinguishing a fire. Thus, this system has the potential to prevent fires which can cause major losses.
The Training of Implementing Artificial Intelligence, Machine Learning and Big Data in Cloud Computing Suranegara, Galura Muhammad; Jayadinata, Asep Kurnia; Nikawanti, Gia; Ichsan, Ichwan Nul; Ash Shiddiq, Reza Nurfaudzan; Faudzan, Muhammad Iqbal; Syaifullah, Muhammad Wildan; Kheqal, Abdul; Dinata, Hane Yorda
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 1 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i1.48-56

Abstract

Disruption is an inevitable consequence of rapid technological advancements. It occurs when existing human resources struggle to keep pace with the swift evolution of technology. One effective way to address this issue is by organizing training sessions aimed at enhancing skills. The Telecommunications Systems Study Program successfully held a training event designed to improve participants' skills, particularly in technology. The participants, including students from vocational high schools (SMK), expressed high levels of satisfaction with the event. The topics covered ranged from cloud computing, artificial intelligence, machine learning, to big data. The training did not merely provide theoretical knowledge but also included practical applications. This community service activity was organized by students serving as the event infrastructure team, with faculty members leading the event as the organizing committee. The participants were students from ten different vocational high schools (SMK) and took place over a period of one day, from 8 AM to 3 PM. Thanks to this training method, the student development significance value reached 33%.
MITIGATION OF MULTI TARGET DENIAL OF SERVICE (DOS) ATTACKS USING WAZUH ACTIVE RESPONSE Paramaputra, Arya Pandya; Suranegara, Galura Muhammad; Setyowati, Endah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5755

Abstract

The increasing frequency of cyberattacks, particularly Denial of Service (DoS) attacks, poses significant challenges to the availability of online services. Multi-target DoS attacks exacerbate this issue by simultaneously targeting multiple systems, requiring robust and automated mitigation strategies. This study evaluates the effectiveness of Wazuh Active Response, an open-source Security Information and Event Management (SIEM) solution, in mitigating multi-target DoS attacks using the Slowloris technique. The methodology involved simulating multi-target DoS attacks using `slowhttptest` against multiple target servers and configuring Wazuh Active Response to automatically block malicious IP addresses upon detection. Key metrics measured included Success Rate, Response Time Detection, and Response Time Blocking. The results showed a Success Rate of 100% with Active Response enabled, an average Response Time Detection of 10.36 seconds, and an average Response Time Blocking of 50.36 seconds. This study confirms that Wazuh Active Response effectively mitigates multi-target DoS attacks, ensuring a high success rate in blocking malicious IP addresses and demonstrating the potential of automated threat detection and response mechanisms in enhancing network security against complex attack scenarios.
Optimizing Connectivity and Network Management with SDN Technology on VANET Using the SSF Method Dinata, Hane Yorda; Suranegara, Galura Muhammad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2867

Abstract

Vehicular Ad-Hoc Networks (VANET) represent a crucial innovation in transportation technology, enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. However, VANET faces challenges such as signal fluctuations, data security issues, and high mobility, which affect network reliability. This study aims to optimize connectivity and network management in VANET using the Strongest-Signal-First (SSF) method supported by Software-Defined Networking (SDN). The research was conducted through simulations using Mininet-WiFi. The system was designed with two vehicles and four access points to evaluate the performance of the SSF method, focusing on quality of service (QoS) parameters such as data transfer, jitter, packet loss, and bandwidth. Data were collected over a 30-second simulation under varying bandwidth conditions. The results demonstrate that the SSF method effectively maintains communication reliability, achieving a maximum packet loss of only 0.05% and an average data transfer rate of 285 – 324 kB. However, the effects of fading and network dynamics caused fluctuations in minimum transfer rates (102 – 114 kB) and jitter (0.1 – 1.0 ms), particularly at lower bandwidths. The SSF method has proven to enhance communication stability in VANET. Nevertheless, challenges such as fading and high mobility require additional mechanisms to further improve network performance in dynamic environments.
Evaluation of Scalability and Resilience of Hyperledger Fabric in Blockchain Implementation for Diploma Management Pebriyanti, Cahyani; Suranegara, Galura Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9262

Abstract

This research aims to evaluate the performance of a Hyperledger Fabric-based blockchain system implemented for digital diploma management. The system is tested using the Caliper benchmark tool in various network and scalability scenarios, including normal conditions (baseline), network delay of 50ms, 100ms, 200ms, and 500ms; packet loss of 1%, 5%, 10%, and 15%; bandwidth limitation of 5 Mbps; high transaction load (scalability standard and scalability optimized); and extreme conditions in the form of Byzantine attacks with malicious nodes of 10%, 30%, and 50%. The evaluation was conducted using four key metrics: transaction success rate, failure rate, average transaction latency, and throughput (TPS). The system recorded high performance under normal network conditions with a success rate of 99.8%, latency of 0.89 seconds, and throughput of 9.7 TPS. Network disruptions such as delay, packet loss, and bandwidth limitation had only a minor impact, with the success rate remaining above 99% and latency gradually increasing. High load in the scalability scenario caused latency to increase to 27.21 seconds and failure rate to rise, but improved significantly after chaincode optimization. Meanwhile, the Byzantine scenario showed a drastic drop in performance with the success rate decreasing to 12.83% and the failure rate increasing to 87.17%. These results show that the Hyperledger Fabric-based digital diploma management system is resilient to common network disruptions and reliable at medium scale, but still requires strengthening the consensus mechanism to deal with extreme conditions and maintain reliability in environments that are not fully trusted.
Analisis Performa Container Pada Kubernetes Service di Google Cloud Platform Dianti, Palda Puspita; Suranegara, Galura Muhammad; Pratama, Hafiyyan Putra
InComTech : Jurnal Telekomunikasi dan Komputer Vol 14, No 1 (2024)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v14i1.22466

Abstract

Container-based virtualization telah diterima di seluruh Platform Cloud dalam beberapa tahun terakhir, dan tren ini kemungkinan akan berlanjut di tahun-tahun mendatang. Akibatnya, sistem container orchestration menjadi semakin penting. Karena stability, maturity, dan fungsionalitasnya yang komprehensif, Kubernetes telah menjadi standar de facto. Semua penyedia Cloud utama pada saat ini menawarkan solusi Kubernetes terkelola Cloud-Native untuk membebaskan pengguna dari tekanan karena harus merancang dan memelihara infrastruktur Kubernetes yang rumit sambil tetap memanfaatkan fungsinya. Sebagai contoh pada tahun 2022, sebanyak 96% dari Sysdig’s global customer yang menggunakan layanan container memilih Kubernetes sebagai Container Orchestration-nya. Dan dalam laporan awal CNCF pada tahun 2022 sebanyak 79% responden menggunakan layanan terkelola seperti Google Kubernetes Engine (GKE). Tujuan artikel ini adalah untuk menganalisis performa container yang berjalan secara hosted seperti pada Google Cloud Platform (GCP). Analisis dilakukan dengan cara pengujian secara real-time yang dilakukan didalam cluster Kubernetes, yang terdiri dari dua node dengan instance mesin 4vcpu yang dideploy dengan nginx:1.23. Execution time dilakukan sebanyak 50.000 eksekusi, menghasilkan waktu terbaik 0,0000106 sec per loop. Total pengunaan memori adalah 18,36 MiB, dengan network received sebesar 16,015 KiB/s dan network transmitted sebesar 16,057 KiB/s. Adapun value price performance yang didapatkan Google Cloud Platform (GCP) yaitu sebesar 952,4 MIPS/$.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Afina Carmelya, Anindya Agnesia, Gisella Agustin, Sarah Ahmad Fauzi Ahmad Fauzi Ash Shiddiq, Reza Nurfaudzan Basuki, Akbari Indra Dani Prasetyo Adi, Puput Dewi Dewi, Tarisa Citra Dianti, Palda Puspita Diky Zakaria Dinata, Hane Yorda Dwi Wahyu Lestariningsih Dwitami, Ghalda Azzahra Elysa Nensy Irawan Endah Setyowati Endah Setyowati Fadhila, Esa Noer Fadillah, Khoerunnisa Nur Faudzan, Muhammad Iqbal Fauzi Ahmad Muda Fauzi, Sadam Fauziyah Rhaudhatul Jannah Fujiyanti, Vina Gumelar, Ega Restu Hadi Putri, Dewi Indriati Hafiyyan Hamdani, Nizar Alam Helfy Susilawati Ichwan Ichwan Nul Ichsan Istiqomah, Mutia Jamilah, Nur Asy-Syifa Jannah, Fauziyah Rhaudhatul Jayadinata, Asep Kurnia Kheqal, Abdul Laili, Adisty Nurrahmah Larasati, Sifa Liptia Venica Maranatha, Jojor Renta Meiliya Cahya Yustina Mirza Etnisa Haqiqi, Mokhamamad Muhammad Gani Baihaqi Darussalam Muhammad Husni Muttaqin Nikawanti, Gia Paramaputra, Arya Pandya Pebriyanti, Cahyani Perkasa, Aldewo Dillon Praptawilaga, Muhamad Fadly Rizqy Pratama, Hafiyyan Putra Pratama, Herdi Rizky Putri, Adhwa Alifia Putri, Chairunisa Rahma Putri, Nova Nurul Rahman, Fadhila Dwi Restyasari, Nissa Reza Nurfaudzan Ashsiddiq Sanada, Pratiwi Satyawan, Arief Suryadi Subagja, Banda Suprih Widodo, Suprih Suryadi Satyawan, Arief Syaifullah, Muhammad Wildan Syifaul Fuada Ulfa, Husnul Vormes Gema Merdeka winda pratiwi Yovanka, Diva Nuranty