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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) SITEKIN: Jurnal Sains, Teknologi dan Industri Semesta Teknika ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sinkron : Jurnal dan Penelitian Teknik Informatika REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Applied Smart Electrical Network and System (JASENS) Emerging Information Science and Technology Journal of Internet and Software Engineering Emitor: Jurnal Teknik Elektro Jurnal Abdimas JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ronald Adrian, Ronald
Universitas Muhammadiyah Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Empowering Vocational Educators in Kulon Progo: IoT and Digital Transformation Training for Enhanced Teaching Skills Fauziyyah, Anni Karimatul; Subardono, Alif; Rosyid, Nur Rohman; Adrian, Ronald; Oktiawati, Unan Yusmaniar; Putri, Tika Erna; Santoso, Ardhi Wicaksono; Saputra, Yuris Mulya
Jurnal Abdimas Vol. 28 No. 2 (2024): December 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/yb0ejk04

Abstract

The IoT (Internet of Things) and Digital Transformation - Skill For All (SFA) training for vocational school teachers in Kulon Progo is an information technology training program. The SFA training addresses the skills gap by offering knowledge and skills necessary to work with IoT devices using IoT Kits from the Network Technology and Application lab, which is evolving in the digital transformation era. This training provides a solid foundation for managing IoT devices, which are highly relevant to today's industry needs. Configuring, managing, and programming IoT devices is essential in the digital age. By participating in this training, vocational school teachers in Kulon Progo can acquire practical skills directly applicable to their curriculum, helping students understand IoT concepts more deeply and practically. The IoT (Internet of Things) and Digital Transformation - Skill For All (SFA) training is designed to provide a comprehensive understanding of networking basics and how to configure and manage IoT Kits devices
Deteksi Dan Mitigasi Serangan Distributed Denial of Service Pada Software Defined Network Pratiwi, Dheni Yulia Dinda; Adrian, Ronald
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6995

Abstract

Software-Defined Networking (SDN) is an approach to network management that separates the control plane from the data plane of the network. In an SDN network, the control plane is centrally controlled by software called a "controller," while the data plane consists of physical network devices such as switches and routers. However, this separation creates many security issues. Therefore, it is imperative to protect the network from various attacks. Distributed Denial of Service (DDoS) is one such attack that poses a hurdle for SDN users. Efforts to protect the SDN network from DDoS attacks require a system that can detect and prevent these attacks. In this final project, a system is created that detects DDOS attacks using Snort IDS (Intrusion Detection System) and prevents them by implementing a firewall on the server using Iptables. The implementation of Snort in the SDN system is able to detect DDoS attacks with an accuracy of 95% for slowhttptest attacks, 90% for slowloris attacks, and 100% for LOIC attacks. The average time to detect a slowhttptest attack is 0.72 seconds, a slowloris attack is 0.36 seconds, and a LOIC attack is 0.3 seconds. The implementation of iptables in the SDN system is able to block DDoS attacks with an average blocking time of 0.91 seconds against slowhttptest attacks, 1.89 seconds against slowloris attacks, and 0.77 seconds against LOIC attacks, and the system is able to manage large connection volumes to maintain the availability of the SDN system.
AIoT-Based Soil Moisture Monitoring System for Precision Agriculture and Energy Efficiency in Rural Smart Villages Mandasari, R Deasy; Adrian, Ronald; Kustiawan, Iwan; Alam, Sahirul; Lukman Hakim, Dadang; Wahyudin, Didin
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i3.217-225

Abstract

Alamendah Village is a horticultural area where irrigation and energy use are still managed manually, leading to water inefficiency and unmonitored electricity consumption. This study developed an AIoT-based system using ESP32 microcontrollers and soil moisture sensors to support precision irrigation and energy monitoring. The system design included sensor calibration to convert ADC values into moisture percentages, threshold-based irrigation recommendations, and a placement formula to determine sensor deployment. Field testing in strawberry plots demonstrated that soil moisture often dropped below the 40% threshold, triggering timely irrigation alerts. The dashboard provided real-time data visualization and revealed peak electricity demand in the evening at the village hall. The results indicated that the system enhanced irrigation accuracy, provided a baseline for monitoring energy consumption, and increased community awareness of sustainable resource management. The project offers a replicable model for integrating smart agriculture and energy monitoring in rural areas.
Applying the Naive Bayes Algorithm to Predict the Student Final Grade Adrian, Ronald; Perdana, Muhammad Aldi Joko Satria; Asroni, Asroni; Riyadi, Slamet
Emerging Information Science and Technology Vol. 1 No. 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.127

Abstract

The teaching and learning process of the Faculty of Engineering of Universitas Muhammadiyah Yogyakarta has used e-learning intensively. One of the benchmarks in determining students’ final grade is to take the values in e-learning. This study aims to predict students’ final grades by utilizing the data mining process and the Naive Bayes algorithm. This study provides students and lecturers information to enhance the teaching and learning process to improve students’ final grades and maintain satisfactory final grades until the lecture is complete. The research began with the literature study, data collection, data selection, data cleaning, data transformation and implementation with rapidminer and conclusion drawing. Based on the prediction of students’ final grades, one course obtained many unsatisfactory grades with an accuracy rate of 93.75%. Thus, the higher the accuracy value, the closer the predicted final value to the actual value. 
Evaluating the Hybrid Multi-Protocol Label Switching (MPLS) on the Enhanced Interior Gateway Routing Protocol (EIGRP) Novradinata, Ridho; Riyadi, Slamet; Adrian, Ronald
Emerging Information Science and Technology Vol. 3 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i2.16865

Abstract

The development of technology and communication is expanding rapidly. In this case, the internet has become a vital necessity in globalization. Technological innovations are required to create a seamless, fast, and secure communication system. This research aims to evaluate the Enhanced Interior Gateway Routing Protocol (EIGRP) implementation by applying the Multiprotocol Label Switching (MPLS) technology. This study adhered to several stages in the Network Development Life Cycle (NDLC) method. The results of the two technology combinations, EIGRP and MPLS, demonstrated MPLS network simulation testing in several dynamic routing systems: EIGRP and OSPF, identified through the Quality of Service (QoS) value. It revealed that the best performance was EIGRP with a throughput of 2152.5 bps, delay of 335.6 ms, and jitter of 411 ms. Furthermore, MPLS and EIGRP network redundancy was better applied in the mesh topology with a multi or backup link than in the linear topology with a single link.
Co-Authors Alam, Sahirul Alif Subardono, Alif Amalyris, Waffiyah Asroni, Asroni Didin Wahyudin Dzulfikar Fahmizal, Fahmizal Fauziyyah, Anni Karimatul Iwan Kustiawan Kusumadewi, Rismanda Lukman Hakim, Dadang Mandasari, R Deasy Mandasari, R. Deasy Mayub, Afrizal Muhammad Arrofiq Nida, Hanifatun Novradinata, Ridho Oktiawati, Unan Yusmaniar Perdana, Muhammad Aldi Joko Satria Pratiwi, Dheni Yulia Dinda Rosyid, Nur Rohman Santoso, Ardhi Wicaksono Saputra, Yuris Mulya Slamet Riyadi Tika Erna Putri