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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications EMITTER International Journal of Engineering Technology Informatics for Educators and Professional : Journal of Informatics INOVTEK Polbeng - Seri Informatika Technomedia Journal Jurnal Teknologi Terapan Indonesian Community Journal Jurnal Rekayasa elektrika El-Mujtama: Jurnal Pengabdian Masyarakat INOVTEK Polbeng - Seri Informatika Journal of Advanced Vocational Information and Communication Technology (JAVICT)

M Udin Harun Al Rasyid, M Udin Harun

Politeknik Elektronika Negeri Surabaya

Author-ID : 559647

Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Medical Health Record Protection Using Ciphertext-Policy Attribute-Based Encryption and Elliptic Curve Digital Signature Algorithm Fitri, Novi Aryani; Al Rasyid, M. Udin Harun; Sudarsono, Amang
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Information on medical record is very sensitive data due to the number of confidential information about a patient's condition. Therefore, a secure and reliable storage mechanism is needed so that the data remains original without any changes during it was stored in the data center. The user must go through an authentication process to ensure that not an attacker and verify to ensure the authenticity and accuracy of the data received. In this research, we proposed a solution to secure medical data using the Ciphertext-Policy Attribute-Based Encryption (CP-ABE) and Elliptic Curve Digital Signature Algorithm (ECDSA) methods. Our system can secure data centers from illegal access because the uploaded data has patient control over access rights based on attributes that have been embedded during the data encryption process. Encrypted data was added to the digital signature to pass the authentication process before being sent to the data center. The results of our experiments serve efficient system security and secure with low overhead. We compare the proposed system performance with the same CP-ABE method but donâ€™t add user revocation to this system and for our computing times are shorter than the previous time for 0.06 seconds and 0.1 seconds to verify the signature. The total time in the system that we propose requires 0.6 seconds.

Enhanced PEGASIS using Dynamic Programming for Data Gathering in Wireless Sensor Network Mufid, Mohammad Robihul; Al Rasyid, M. Udin Harun; Syarif, Iwan
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

A number of routing protocol algorithms such as Low-Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information Systems (PEGASIS) have been proposed to overcome the problem of energy consumption in Wireless Sensor Network (WSN) technology. PEGASIS is a development of the LEACH protocol, where within PEGASIS all nodes are active during data transfer rounds thus limiting the lifetime of the WSN. This study aims to propose improvements from the previous PEGASIS version by giving the name Enhanced PEGASIS using Dynamic Programming (EPDP). EPDP uses the Dominating Set (DS) concept in selecting a subset of nodes to be activated and using dynamic programming based optimization in forming chains from each node. There are 2 topology nodes that we use, namely random and static. Then for the Base Station (BS), it will also be divided into several scenarios, namely the BS is placed outside the network, in the corner of the network, and in the middle of the network. Whereas to determine the performance between EPDP, PEGASIS and LEACH, an analysis of the number of die nodes, number of alive nodes, and remaining of energy were analyzed. From the experiment result, it was found that the EPDP protocol had better performance compared to the LEACH and PEGASIS protocols in terms of number of die nodes, number of alive nodes, and remaining of energy. Whereas the best BS placement is in the middle of the network and uses static node distribution topologies to save more energy.

Energy Efficiency Optimization for Intermediate Node Selection Using MhSA-LEACH: Multi-hop Simulated Annealing in Wireless Sensor Network Aidil Saputra Kirsan; Al Rasyid, Udin Harun; Iwan Syarif; Dian Neipa Purnamasari
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.459

Energy usage on nodes is still a hot topic among researchers on wireless sensor networks. This is due to the increasing technological development increasing information requirements and caused the occurrence of information exchange continuously without stopping and impact the decline of lifetime nodes. It takes more effort to manually change the energy source on nodes in the wireless sensor network. The solution to such problems is to use routing protocols such as Low Energy Adaptive Clustering Hierarchy (LEACH). The LEACH protocol works by grouping nodes and selecting the Cluster Head (CH) in charge of delivering data to the Base Station (BS). One of the disadvantage LEACH protocols, when nodes are far from the CH, will require a lot of energy for sending data to CH. One way to reduce the energy consumption of each node-far is to use multi-hop communication. In this research, we propose a multi-hop simulated annealing (MhSA-LEACH) with an algorithm developed from the LEACH protocol based on intra-cluster multi-hop communication. The selection of intermediate nodes in multi-hop protocol is done using Simulated Annealing (SA) algorithm on Traveling Salesman Problem (TSP). Therefore, the multi-hop nodes are selected based on the shortest distance and can only be skipped once by utilizing the probability theory, resulting in a more optimal node path. The proposed algorithm has been compared to the conventional LEACH protocol and the Multi-Hop Advance Heterogeneity-aware Energy Efficient (MAHEE) clustering algorithm using OMNeT++. The test results show the optimization of MhSA-LEACH on the number of packets received by BS or CH and the number of dead or alive nodes from LEACH and MAHEE protocols.

Implementation of Oxymetry Sensors for Cardiovascular Load Monitoring When Physical Exercise Tisna, Dhodit Rengga; Al Rasyid, M. Udin Harun; Sukaridhoto, Sritrusta
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.482

The performance condition of an athlete must always be maintained, one way to maintain that performance is by training. Each individual has different abilities and physiological responses in receiving the portion of the exercise. Physical exercise that exceeds the body's ability can worsen the condition of the athlete itself which can result in excessive fatigue (overtraining) or can even result in injury. Therefore a system is needed to monitor the condition of the physiological response when given the intensity of the training load so that the portion of the training provided provides positive benefits for the athlete. This system was developed using an oxymetry sensor, microcontroller and wifi module ESP8266. This system is used to collect heart rate and oxygen saturation data, then with the existing formula the heart rate value is converted to a CVL (Cardiovascular Load) value to determine the level of fatigue in athletes when given the intensity of the training load. By using a web-based application, measurement data is displayed in realtime to make it easier to see the results of monitoring. From the experimental results the system can monitor changes in the physiological condition of the athlete when given the intensity of the training load. Finally, the developed system can collect athlete's physiological data, and can store the data in a database and display it in a web application.

Develop a User Behavior Analysis Tool in ETHOL Learning Management System Dwi Susanto; Qurani, Nuril Ratu; M. Udin Harun Al Rasyid
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.570

Students have different learning styles when studying online. Meanwhile, lecturers use the same method for all students who take their online lectures. These different learning styles can affect the level of understanding and the results obtained by students. By knowing student learning styles, lecturers are expected to be able to use the right way in delivering material. In this research, we developed a student behavior analysis feature on self-developed Virtual Learning Environment (VLE) called Enterprise Hybrid Online Learning (ETHOL). Students’ data collected includes data on online activities, personal data, and survey data on student learning styles. User behavior analysis was carried out by dividing into three clusters: average scores, time to collect assignments, and student learning styles. The clustering method used is the Hierarchical K-Means. The results obtained are students who have the habit of collecting assignments on time have higher scores than others. In addition, the lecturer is able to see the results of the analysis of the behavior and learning styles of each student. These results can be used as information in delivering lecture material.

Student Behavior Analysis to Predict Learning Styles Based Felder Silverman Model Using Ensemble Tree Method Ikawati, Yunia; Al Rasyid, M. Udin Harun; Winarno, Idris
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.590

Learning styles are very important to know so that students can learn effectively. By understanding the learning style, students will learn about their needs in the learning process. One of the famous learning management systems is called Moodle. Moodle can catch student experiences and behaviors while learning and store all student activities in the Moodle Log. There is a fundamental issue in e-learning where not all students have the same degree of comprehension. Therefore, in some cases of learning in E-Learning, students tend to leave the classroom and lack activeness in the classroom. In order to solve these problems, we have to know students' preferences in the learning process by understanding each student's learning style. To find out the appropriate student learning style, it is necessary to analyze student behavior based on the frequency of visits when accessing Moodle E-learning and fill out the Index Learning Style (ILS) questionnaire. The Felder Silverman model's learning style classifies it into four dimensions: Input, Processing, Perception, and Understanding. We propose a learning style prediction model using the Ensemble Tree method, namely Bagging and Boosting-Gradient Boosted Tree. Afterwards, we evaluate the classification results using Stratified Cross Validation and measure the performance using accuracy. The results showed that the Ensemble Tree method's classification efficiency has higher accuracy than a single tree classification model.

Centralized Access Management for Vertical Housing Using Edge Computing and Deep Learning Zaky Oktavianto Wahyu; M. Udin Harun Al Rasyid; Setiawardhana
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dnscbn25

The implementation of security systems in vertical housing often has a choice between high infrastructure costs from decentralized hardware and privacy risks from cloud solutions. This study presents a prototype for a centralized access management system utilizing edge computing (Intel NUC) as a local server to authenticate residents at various access points. The system uses Frigate NVR for lightweight real-time object detection and the ArcFace Deep Learning model for facial recognition. It processes all biometric data locally to protect privacy. We used a dataset of three registered subjects to test the experiment. The tests looked at how well the system worked at different distances (1 to 5 meters), in different lighting conditions (daylight and infrared), with different types of facial occlusions (medical masks), and with 2D spoofing attacks (print and digital media). Using a confusion matrix over 50 random test samples that included both authorized users and unknown intruders, the system got a global accuracy of 80.0%. The system also had a Genuine Acceptance Rate (GAR) of 86.6%. The system was very stable when it was 1 to 2 meters away, but it didn't work as well in extreme conditions. With an average CPU usage of 46.87% and physical control latency via the MQTT protocol of less than 0.2 seconds, resource efficiency was kept up. These results show that the proposed edge architecture can work as a responsive and computationally efficient prototype for smart apartment security. They also show that liveness detection needs to be improved in the future to reduce the risk of digital spoofing.

Development of an Automated Jar Testing System Based on the Internet of Things (IoT) with 3D Web Visualization Muhaimin Toh Arlim; Sritrusta Sukaridhoto; M. Udin Harun Al Rasyid; Evianita Dewi Fajrianti; Faris Saifullah; Wahyu Nur Hidayat
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 12 No. 1 (2026): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v12i1.32077

Manual Jar Testing for coagulant dosage determination in water treatment is labor-intensive, time-consuming, and susceptible to operator bias, limiting the ability of Indonesian Regional Water Utilities (PDAM) to respond in real-time to dynamic raw water quality changes. The research contribution of this study is: (1) an ESP32-based automated Jar Testing platform with closed-loop DC motor control and a multi-parameter sensor array (turbidity, TDS, pH) for objective, repeatable coagulation-flocculation evaluation; and (2) a real-time 3D cloud visualization framework using MQTT and Three.js that provides remote monitoring with sub-1.5-second latency. The system integrates a SEN0189 turbidity sensor, a TDS conductivity sensor, and a pH-4502C sensor, each calibrated against laboratory-grade reference instruments using polynomial calibration equations derived from experimental data. Encoder-based closed-loop feedback regulates DC motor speed across a 0–100 RPM range, while all sensor telemetry is transmitted via the MQTT publish-subscribe protocol to a cloud database and rendered by a Three.js-based 3D digital visualization interface. Sensor validation yielded Mean Absolute Errors (MAE) of 0.15 NTU for turbidity, 5.33 ppm for TDS, and 0.04 pH units, all within the respective sensor tolerance bounds. DC motor control achieved MAE of 0.05–0.30 RPM across the 10–100 RPM setpoint range. Six discrete alum dosage trials on raw water with initial turbidity of 6.6 NTU identified 70 mg/L as the optimal concentration, achieving 90.15% turbidity removal with a residual turbidity of 0.65 NTU, below the 1 NTU threshold for potable water quality. The 3D visualization layer-maintained data synchronization latency below 1.5 seconds under laboratory network conditions. The proposed system substantially reduces operator workload and eliminates visual observation bias compared to conventional manual Jar Testing, offering a scalable and low-cost platform for data-driven coagulant dosing optimization in modern water treatment facilities.

Smart Home Implementation with Home Assistant Platform in Modern Housing Alan Tri Arbani Hidayat; M. Udin Harun Al Rasyid; Isbat Uzzin Nadhori; Yeremia Ega Wahyudi; Yoga Prastyo Bayu Laksono
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1482

The implementation of smart home systems using the Home Assistant platform in modern residential environment addresses residents’ needs for practical, effective, and energy-efficient home management. Although the smart home market is projected to grow by 16.3 until 2027, its adoption in Indonesia still faces challenges related to public understanding and device integration complexity. The developed system integrates temperature and humidity sensors, energy consumption measurement sensors, motion defection sensors, relays for device control, and an esp32 as the central control unit. Data from esp32 is transmitted in real-time to Firebase Real Time Database, then integrated with Home Assistant and Node-RED and add-ons for securing monitoring. Evaluation demonstrates effective performance in integrating devices from various vendors and protocols, as well as responsiveness of automation features. This development provides an efficient, cost-effective, and ease-adopted smart home implementation model, demonstrating how the open-source Home Assistant platform can enhance energy efficiency, comfort, and security for residents of modern housing in Indonesia.

Integration of IoT and chatbot for aquaculture with natural language processing M. Udin Harun Al-Rasyid; Sritrusta Sukaridhoto; Muhammad Iskandar Dzulqornain; Ahmad Rifai
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14788

The development of internet of things (IoT) technology is very fast lately. One sector that can be implemented by IoT technology is the aquaculture sector. One important factor in the success of aquaculture is a good and controlled water quality condition. But the problem for the traditional aquaculture farmers is to monitor and increase the water quality quickly and efficiently. To resolve the above-mentioned problem, this paper proposes a real-time monitoring system for aquaculture and supported with chatbot assistant to facilitate the user. This system was composed of IoT system, cloud system, and chatbot system. The proposed system consists of 7 main modules: smart sensors, smart aeration system, local network system, cloud computing system, client visualization data, chatbot system, and solar powered system. The smart aeration system consists of NodeMCU, relay, and aerator. The smart sensors consist of several sensors such as dissolved oxygen, pH, temperature, and water level sensor. Natural language processing is implemented to build the chatbot system. By combining text mining processing with naive Bayes algorithm, the result shows the very good performance with high precision and recall for each class to monitor the quality of water in aquaculture sector.

Co-Authors A Wildan J Achmad Basuki Achmad Basuki Adam Ghazy Al Falah Agus Indra Gunawan Agus Indra Gunawan Agus Prasetyo Ahmad Rifa'i Ahmad Rifai Ahmad Syauqi Ahsan Ahsan, Ahmad Syauqi Aidil Saputra Kirsan Aidil Saputra Kirsan Akhmad Alimudin Al Falah, Adam Ghazy Alan Tri Arbani Hidayat Alfaqih, Wildan Maulana Akbar Alfian Fahmi, Alfian Ali Ridho Barakbah Amang Sudarsono, Amang Amma Liesvarastranta Haz Andhik Ampuh Yunanto Andi Roy Arna Fariza Ashafidz Fauzan Dianta Asmara, Rengga Asy Syaffa Khoirunnisa Ata Amrullah Aziz, Adam Shidqul Bih Hwang Lee Bima Sena Bayu Dewantara Budiarti, Rizqi Putri Nourma Darmawan, Zakha Maisat Eka Darmawan, Zakha Maisat Eka Desy Intan Permatasari Desy Intan Permatasari, Desy Intan Dian Neipa Purnamasari Dona Wahyudi Dwi Susanto Edelani, Renovita Edi Satriyanto Eka Saputra Aji, Eka Saputra Eko Prayitno Entin Martiana Kusumaningtyas Evianita Dewi Fajrianti Evianita Dewi Fajrianti Fani Firdausi Nuzula Faris Saifullah Ferry Astika Saputra Ferry Astika Saputra Fitri, Novi Aryani Gezaq Abror Grezio Arifiyan Primajaya Hendi Yanuar Setianto Herman Yuliandoko Herman Yuliandoko, Herman I Gede Puja A I Gede Puja Astawa Idris Winarno Ikawati, Yunia Ilham Achmad Al Hafidz Isbat Uzzin Nadhori Isbat Uzzin Nadhori, Isbat Uzzin iwan Syarif Jauari Akhmad Nur Hasim Junaedi Ispianto Khoirunnisa, Asy Syaffa Kindarya, Fabyan Kurniawan Saputra Kusuma, Harun Indra Kusuma, Selvia Ferdiana M. Husni Mubarrok Moh. Zikky Mufid, Mohammad Robihul Mufid, Mohammad Robihul Muh. Zen Samsono Hadi Muhaimin Toh Arlim Muhammad Agus Zainuddin Muhammad Aksa Hidayat Muhammad Iqbal Izzul Haq Muhammad Iskandar Dzulqornain Nana Ramadijanti Nana Ramadijanti, Nana Naufal Adi Satrio Nirwana Haidar Hari Nobuo Funabiki, Nobuo Nur Rosyid Mubtadai Nur Rosyid Mubtadai, Nur Rosyid Nurul Fahmi Nurul Fahmi Nusantoko, Yuliarta Rizki Primajaya, Grezio Arifiyan Qurani, Nuril Ratu Rachma Rizqina Mardhotillah Rante, Hestiasari Rendra Suprobo Aji Rengga Asmara Renovita Edelani Ricky Afiful Maula Riyadh Arridha Rizki Amalia Rizki Dwi Irianti Rizky Yuniar Hakkun Rozie, Fachrul Rusminto Tjatur Widodo Sa'adah, Umi Selvia Ferdiana Kusuma Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana Sritrusta Sukaridhoto Subono ., Subono Subono Subono Sumarsono, Irwan Tisna, Dhodit Rengga Titing Magfirah Tomy Iskandar Tri Budi Santoso Umi Sa'adah Vivien Arief Wardhany Wahyu Nur Hidayat Yasmin Nur Afifah Yeremia Ega Wahyudi Yoga Prastyo Bayu Laksono Zaky Oktavianto Wahyu

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