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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Cyberspace: Jurnal Pendidikan Teknologi Informasi Jurnal Manajemen Informatika dan Sistem Informasi Community Development Journal: Jurnal Pengabdian Masyarakat

Amrul Faruq

Universitas Muhammadiyah Malang

Author-ID : 264152

Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Public Health Other

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Articles

Title

PLC Human Machine-Interfaces Based System for Vietnam Drip Coffee Maker Application Mardiyah, Nur Alif; Sudrajat, Akhmad Hakam; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

The most recent development of digital technology is rapidly growing having a strong impact in daily activities. Automation is a trend in society to make those activities become easier. Moreover, efficiency has played the main role in the automation concept. For example, when making a drink which requires to accurately mix all required ingredients, like sugar, tea, and also coffee, the process may take time. Meanwhile, other more important processes have waited to be carried out. The idea of fasten up these activities may be preferable, exemplified by making an automatic drink maker machine. Moreover, coffee has been popular drink fancied by most people on the society. Hence, due to the high load of the peopleâs activity, everything is required to be instant and efficient. According to this trend, to provide an efficient, easy, and good management, we need to create an automatic, fast, and accurate system control which can be implemented by using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). Meanwhile, in this research, Omron PLC and HMI are utilized to build an automatic drink maker device of Vietnamese Drip Coffee designed to resolve the societyâs needs of coffee with higher efficiency of serving process. The automatic coffee maker device of Vietnamese Drip Coffee based on PLC and HMI is a device designed to simplify the making process of Vietnamese Drip Coffee in hot condition. This device can be operated by only touching/tapping on its coffee menu choices. The design of this device has the main purpose to operate and test the control system based on PLC and HMI to control and monitoring the automatic process of producing Vietnamese Drip Coffee started from choosing the coffee types until mixing process.

Application Monitoring Design of Water Tank Volume and Clarity System using LabView NI MYRIO Nurdiansyah, Erwin; Hasani, Chasrun; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

A traditional controlling and measuring system both in home industry and factory have many constraints especially in the field of quality and efficiency. Operators have to control and monitor while the tank is in the water filling mode. Consequently, an effective system is needed to increase the ease in industry operation. In this work, an application design of water volume in tank and clarity system has presented using RF04 ultrasonic sensor to detect water level; furthermore, a turbidity sensor was also employed to detect water clarity. Both of them were controlled by National Instrument (NI) myRIO-1900. NI myRIO was used in this work as a controller having automatic on/off relay module employed to the water tank and integrated with a personal computer as human machine interface system (HMI). NI LabView software used as HMI in this work was also connected to Wi-Fi module to establish a remote monitoring role. As a result, the simulation shows that water level can be measured utilizing ultrasonic sensor as well as turbidity sensor detection for water clarity.

Flood Warning and Monitoring System Utilizing Internet of Things Technology Mohd Sabre, Mohamad Syafiq; Abdullah, Shahrum Shah; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 4, November 2019
Publisher : Universitas Muhammadiyah Malang

Flooding is one of the major disasters occurring in various parts of the world including Malaysia. To reduce the effect of the disaster, a flood warning and monitoring are needed to give an early warning to the victims at certain place with high prone to flood. By implementing Internet of Thing technology into the system, it could help the victim to get an accurate status of flood in real-time condition. This paper is develop a real-time flood monitoring and early warning system using wireless sensor node at a high prone area of flood. This system is based on NodeMCU based technology integrated using Blynk application. The wireless sensor node can help the victims by detecting the water levels and rain intensity while giving an early warning when a flood or heavy rain occurs. Basically, the sensor node consists of ultrasonic sensor and rain sensor controlled by NodeMCU as the microcontroller of the system which placed at the identified flood area. Buzzer and LED started to trigger and alert the victim when the flood had reached certain level of hazard. Data detected from the sensors are sent to the Blynk application via wireless connection. Victim will get to know the current status of flood and rain by viewing the interface and receiving push notification that available in Blynk application via IOS or Android smartphones. The flood level’s data sent to the email could help various organizations for further improvement of the system and flood forecasting purposes. After a test had been conducted, it was found that this prototype can monitor, detect and give warning with notification to the victim earlier before the occurrence of floods.

Flood Disaster and Early Warning: Application of ANFIS for River Water Level Forecasting Faruq, Amrul; Marto, Aminaton; Izzaty, Nadia Karima; Kuye, Abidemi Tolulope; Mohd Hussein, Shamsul Faisal; Abdullah, Shahrum Shah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i1.1156

Intensively monitoring river water level and flows in both upstream and downstream catchments are essential for flood forecasting in disaster risk reduction. This paper presents a developed flood river water level forecasting utilizing a hybrid technique called adaptive neuro-fuzzy inference system (ANFIS) model, employed for Kelantan river basin, Kelantan state, Malaysia. The ANFIS model is designed to forecast river water levels at the downstream area in hourly lead times. River water level, rainfall, and river flows were considered as input variables located in upstream stations, and one river water level in the downstream station is chosen as flood forecasting point (FFP) target. Particularly, each of these input-output configurations consists of four stations located in different areas. About twenty-seven data with fifteen minutes basis recorded in January 2013 to March 2015 were used in training and testing the ANFIS network. Data preprocessing is done with feature reduction by principal component analysis and normalization as well. With more attributes in input configurations, the ANFIS model shows better result in term of coefficient correlation ( ) against artificial neural network (ANN)-based models and support vector machine (SVM) model. In general, it is proven that the presented ANFIS model is a capable machine learning approach for accurate forecasting of river water levels to predict floods for disaster risk reduction and early warning.

Application Monitoring Design of Water Tank Volume and Clarity System using LabView NI MYRIO Erwin Nurdiansyah; Chasrun Hasani; Amrul Faruq
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

PLC Human Machine-Interfaces Based System for Vietnam Drip Coffee Maker Application Nur Alif Mardiyah; Akhmad Hakam Sudrajat; Amrul Faruq
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

The most recent development of digital technology is rapidly growing having a strong impact in daily activities. Automation is a trend in society to make those activities become easier. Moreover, efficiency has played the main role in the automation concept. For example, when making a drink which requires to accurately mix all required ingredients, like sugar, tea, and also coffee, the process may take time. Meanwhile, other more important processes have waited to be carried out. The idea of fasten up these activities may be preferable, exemplified by making an automatic drink maker machine. Moreover, coffee has been popular drink fancied by most people on the society. Hence, due to the high load of the people’s activity, everything is required to be instant and efficient. According to this trend, to provide an efficient, easy, and good management, we need to create an automatic, fast, and accurate system control which can be implemented by using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). Meanwhile, in this research, Omron PLC and HMI are utilized to build an automatic drink maker device of Vietnamese Drip Coffee designed to resolve the society’s needs of coffee with higher efficiency of serving process. The automatic coffee maker device of Vietnamese Drip Coffee based on PLC and HMI is a device designed to simplify the making process of Vietnamese Drip Coffee in hot condition. This device can be operated by only touching/tapping on its coffee menu choices. The design of this device has the main purpose to operate and test the control system based on PLC and HMI to control and monitoring the automatic process of producing Vietnamese Drip Coffee started from choosing the coffee types until mixing process.

Buck-boost Converter using GA-based MPPT for Solar Energy Optimization Syafaah, Lailis; Faruq, Amrul; Noor Cahyadi, Basri; Hidayat, Khusnul; Setyawan, Novendra; Lestandy, Merinda; Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1658

Energy optimization in the Solar Power Plant system needs to have more attention. Indonesia is a tropical country that has two seasons, where the weather and cloud movements are frequently unpredictable, especially in the southern region of Java Island. To overcome this problem, an inverter equipped with maximum power point tracking (MPPT) was used. However, the current MPPT switching system was still not optimal with an efficiency of around 90%. In this study, the installation of MPPT was carried out in order to optimize the power in solar photovoltaic (PV) system due to the fluctuations of solar irradiation at PT. Jatinom Indah Agri, Blitar City. The maximum power generated by solar photovoltaic could be achieved by using the combination of DC - DC converter and artificial intelligence. In this study, the modeling of solar PV system was made using MATLAB software, where the design of the solar PV system consisted of a PV module with capacity 240W, DC to DC converter, battery and MPPT. Genetic Algorithm (GA)-based MPPT had been tested and compared to Particle Swarm Optimization (PSO)-based MPPT and conventional MPPT, where the GA-based MPPT worked well in finding the maximum power point in the solar photovoltaic system. It was found that GA-based MPPT produced a maximum power point close to PV power with an efficiency of 92%, while the effciciency of PSO-based MPPT and conventional MPPT were 85% and 79% respectively. In selecting the method for designing MPPT, a method with a wide range of sample data is required. This is due to the fluctuation of solar irradiance received by the solar PV.

Power Quality Improvement in Micro Hydro Power Plant Based-ELC and VSI using Fuzzy-PI Controller Pakaya, Ilham; Zulfatman; Faruq, Amrul; Irfan, Muhammad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 1, February 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i1.1913

The stability of frequency and voltage in micro hydro power plants (MHPP) depends on the ability to maintain balance between active and reactive power while managing load variations. Active power is typically regulated by an Electronic Load Controller (ELC), while reactive power is managed by a Voltage Source Inverter (VSI), with the VSI specifically compensating for reactive power induced by inductive loads. This study aims to enhance the control of active and reactive power in an MHPP system under varying load conditions by improving the ELC and VSI using Fuzzy-PI controller. The Fuzzy-PI controller applied in the ELC ensures a more precise TRIAC firing angle, enabling accurate control of the ballast load to balance the active power. Similarly, Fuzzy-PI controller applied in the VSI provides precise reactive power compensation to counteract inductive load effects. The performance of the proposed Fuzzy-PI-based ELC and VSI was evaluated using a complete MHPP model simulated in Matlab. Results demonstrated that the improved ELC and VSI effectively enhanced the system performance. Specifically, the Fuzzy-PI controller enabled the ELC to achieve accurate active power balance, while the VSI delivered suitable reactive power compensation. Consequently, the system achieved improved frequency and voltage stability under load variations, leading to enhanced power quality in the MHPP.

Cybersecurity Management Strategies for Smart Cities in Indonesia: Cultural Factors and Implementation Challenges Alam, RG Guntur; Faruq, Amrul; Effendy, Machmud
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 3, August 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i3.2226

The implementation of smart cities in Indonesia presents significant cybersecurity challenges, particularly amid bureaucratic complexity, low digital literacy, and limited institutional capacity. This study explores cybersecurity management strategies in the context of Jakarta Smart City (JSC), emphasizing sociotechnical dynamics and embedded cultural-institutional factors. Employing a qualitative approach and the Actor-Network Theory (ANT) framework, this research examines four key moments in the stabilization of cybersecurity networks: problematization, interessement, enrollment, and mobilization. Empirical findings reveal that challenges such as fragmented governance, security awareness gaps, and limitations in technological adaptation are addressed through context-specific strategies. These include regulatory reforms, multi-stakeholder collaboration, hybrid governance models, and the localization of international standards, particularly ISO/IEC 27001. The study also incorporates Indonesia’s Personal Data Protection Law (Law No. 27/2022) as a foundational legal framework that supports the integration of regional cybersecurity policies. Rather than focusing solely on technical solutions, this research emphasizes the importance of aligning cybersecurity strategies with local norms, leadership structures, and user practices. The proposed strategic model contributes to the cybersecurity governance literature by integrating ANT perspectives with empirical insights from a developing country. It offers a locally adapted and scalable framework to guide policymakers and smart city administrators in building resilient and culturally sensitive cybersecurity systems.

Identification of BSR Disease in Oil Palm Using UAV Imagery through CNN and SCNN Approaches Zakia Azzahro; Rahmadwati; Angger Abdul Razak; Amrul Faruq
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2546

Basal Stem Rot (BSR) disease caused by Ganoderma boninense is a major threat to oil palm productivity due to its destructive nature and the challenges associated with early-stage detection. To support sustainable production and mitigate significant yield losses, a system capable of classifying oil palm trees into healthy and infected categories is required. In this study, two deep learning approaches, namely CNN and SCNN, are applied to identify oil palm conditions based on UAV-derived imagery. While CNN is widely used for image-based detection tasks due to its capability to extract relevant visual representations, it is prone to overfitting during training. Therefore, SCNN is employed to address this issue by leveraging image similarity comparison mechanisms. Experimental results show that both methods achieve high classification accuracy, with SCNN outperforming CNN by achieving an accuracy of 96.48% compared to 95.644% for CNN. The superior performance of SCNN indicates its sensitivity to subtle visual differences between healthy and early-stage infected oil palm trees, enabling more reliable classification performance. Thus, SCNN is considered more effective for oil palm condition detection and contributes to reducing overfitting, resulting in improved model stability.

Co-Authors Achmad Fauzan Hery Afirda Desember Riawati Agus Heriyanto Akhmad Hakam Sudrajat Aminaton Marto Aminaton Marto Amir Parnianifard Angger Abdul Razak Basri Nor Cahyadi Basuki, Setio Chasrun Hasani Che Munira Che Razali Che Munira Che Razali Diding Suhardi Ermanu Azizul Hakim Erwin Nurdiansyah Fitri Yakub Guntur Alam Hasani, Chasrun Ilham Pakaya Indah Sulistiyowati Irfan, Muhammad Izzaty, Nadia Karima Khaeruddin Khaeruddin Khaeruddin Khaeruddin Khusnul Hidayat Kuye, Abidemi Tolulope M. Fauzi Nor Shah M. Irfan Machmud Effendy Machmud Effendy Machmud Effendy Mauridhi Hery Purnomo Merinda Lestandy Mochammad Arif Hidayatullah Mohd Anuar Abu Bakar Mohd Fauzi Nor Shah MOHD HUSSEIN, SHAMSUL FAISAL Mohd Sabre, Mohamad Syafiq Muhammad Ilham Perdana Muhammad Irfan Muhammad Irfan Muhammad Nasar Nisrina Nurhafizhah Noor Cahyadi, Basri Novendra Setyawan Nugroho, Herry Prasetyo Nur Alif Nur Alif Mardiyah Nur Alif Mardiyah, Nur Alif Nur Kasan, Nur Nuralif Nuralif Nurdiansyah, Erwin Octavio, Abi Mufid Putri Nayla Sabri Qory Hidayati Rahmadwati Shahrum Shah Abdullah Shahrum Shah Abdullah Shahrum Shah Abdullah Shahrum Shah Abdullah Shahrum Shah Bin Abdullah Shamsul Faisal Mohd Hussein Sudrajat, Akhmad Hakam Sumadi, Fauzi Dwi Setiawan Syafaah, Lailis Syafaah, Lailis Vhirdausia, Nuri Wijaya, Frenischa Yincenia Zakia Azzahro Zulfatman Zulfatman

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