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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 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 MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Rekayasa elektrika El-Mujtama: Jurnal Pengabdian Masyarakat
M Udin Harun Al Rasyid, M Udin Harun
Politeknik Elektronika Negeri Surabaya
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : EMITTER International Journal of Engineering Technology

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (999.468 KB) | DOI: 10.24003/emitter.v7i1.356

Abstract

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 don’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 Mohammad Robihul Mufid; M. Udin Harun Al Rasyid; Iwan Syarif
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.727 KB) | DOI: 10.24003/emitter.v7i1.360

Abstract

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; Udin Harun Al Rasyid; 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

Abstract

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 Dhodit Rengga Tisna; M. Udin Harun Al Rasyid; Sritrusta Sukaridhoto
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

Abstract

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; Nuril Ratu Qurani; 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

Abstract

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 Yunia Ikawati; M. Udin Harun Al Rasyid; Idris Winarno
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

Abstract

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.
Co-Authors A Wildan J Achmad Basuki Achmad Basuki Agus Indra Gunawan Agus Indra Gunawan Agus Prasetyo Ahmad Rifa'i Ahmad Rifai Ahsan, Ahmad Syauqi Aidil Saputra Kirsan Al Falah, Adam Ghazy Alfaqih, Wildan Maulana Akbar Alfian Fahmi Alfian Fahmi, Alfian Ali Ridho Barakbah Amang Sudarsono, Amang Amma Liesvarastranta Haz Andhik Ampuh Yunanto Andi Roy Arna Fariza Asmara, Rengga Ata Amrullah Aziz, Adam Shidqul Bih Hwang Lee Bima Sena Bayu Dewantara Budiarti, Rizqi Putri Nourma Darmawan, Zakha Maisat Eka Desy Intan Permatasari, Desy Intan Dhodit Rengga Tisna Dian Neipa Purnamasari Dona Wahyudi Dwi Susanto Edelani, Renovita Edi Satriyanto Eka Saputra Aji Eka Saputra Aji, Eka Saputra Eko Prayitno Entin Martiana Kusumaningtyas Evianita Dewi Fajrianti Ferry Astika Saputra Ferry Astika Saputra Ferry Astika Saputra Fitri, Novi Aryani Gezaq Abror Hari, Nirwana Haidar Hary Oktavianto Hendi Yanuar Setianto Herman Yuliandoko Herman Yuliandoko Herman Yuliandoko, Herman I Gede Puja A I Gede Puja Astawa I Gede Puja Astawa Idris Winarno 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, Selvia Ferdiana M. Husni Mubarrok Mufid, Mohammad Robihul Muh. Zen Samsono Hadi Muhammad Aksa Hidayat Muhammad Iskandar Dzulqornain Nana Ramadijanti, Nana Naufal Adi Satrio Nobuo Funabiki Nobuo Funabiki, Nobuo Nur Rosyid Mubtadai, Nur Rosyid Nurazmi, Talita Iza Nuril Ratu Qurani Nurul Fahmi Nurul Fahmi Nurul Fahmi Nusantoko, Yuliarta Rizki Primajaya, Grezio Arifiyan Rachma Rizqina Mardhotillah Rengga Asmara Ricky Afiful Maula Riyadh Arridha Rizki Amalia Rozie, Fachrul Rusminto Tjatur Widodo Sa'adah, Umi Setiawardhana Setiawardhana Setiawardhana Setiawardhana Sritrusta Sukaridhoto Subono . Subono ., Subono Subono Subono Sumarsono, Irwan Titing Magfirah Tomy Iskandar Vivien Arief Wardhany Wirama, I Made Adiswara Yunia Ikawati