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Journal : Journal of Information Technology and Computer Science

Wearable Wireless Sensor Network for Mitigating COVID-19 Transmission Through Physical Distancing Niswar, Muhammad; Andani; Fachrurrozie Haris, Muhammad Ahlan; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 8 No. 2: August 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202382517

Abstract

The global community is currently facing a critical situation with the widespread transmission of the Covid-19 virus. The rapid increase in Covid-19 cases has necessitated immediate action and treatment. As the World Health Organization (WHO) recommended, maintaining a minimum distance of one meter between individuals is an effective preventive measure to avoid transmission through respiratory droplets. To address this issue, this paper introduces a cost-effective design and implementation of a wearable wireless sensor network using the ESP32 microcontroller and Bluetooth Low-Energy (BLE) technology that promotes physical distancing and contact tracing to mitigate the spread of COVID-19. In this research, we have determined that the safe distance between individuals is 1.5 meters. Proximity testing has indicated that an RSSI value of -62 dBm corresponds to a distance below 1.5 meters. Hence, we set -62 dBm as the distance threshold between wearable devices to ensure safe physical distancing. These wearable wireless sensor network devices are intended to assist individuals in maintaining a safe distance from others, thereby reducing the risk of COVID-19 transmission.
Low Packet Latency Using New Radio Duty-Cycle Scheduling Method Setyawati, Onny; Muhammad, Abdur R.; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383566

Abstract

As energy conservation in Wireless Sensor Networks is crucial, the scheduling methods are required to ensure that sensor nodes operate for a longer period. Duty cycle scheduling can be accomplished using synchronous, asynchronous, or on-demand methods with additional radio channels. This study has integrated the on-demand method with an asynchronous scheduling mechanism for the wake-up radio. Model simulation results with random placements showed that the Wake-up Asynchronous On-demand Radio Duty-Cycle (WAORDC) method was able to achieve the latency value of 3.3 seconds, better than the CXMAC asynchronous method, and the total energy required was approximately 4% only, to activate the sensor node.
Information and Data Distribution System for Rural Areas of Indonesia Amron, Kasyful; Basuki, Achmad; Pramukantoro, Eko Sakti; Yahya, Widhi
Journal of Information Technology and Computer Science Vol. 1 No. 1: June 2016
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (861.297 KB) | DOI: 10.25126/jitecs.2016115

Abstract

Abstract. Internet becomes critical infrastructure in the distribution of information. The information is used for decision making and ensure the success of human activities. However, the distribution of information in rural Indonesia is inconvenient, because the digital communication infrastructure (internet) doesn’t cover all areas in Indonesia. This problem causes the digital divide in Indonesia. This study proposes communications infrastructure and data transfer mechanism or media sharing that can be applied to a variety of rural areas conditions in Indonesia, which has limited communications infrastructure. The approach is to build low power digital carrier devices in the form of minicomputer and utilize Delay or Disruptions Tolerant Network (DTN) architecture. Testing results in the digital carrier node show that the data is successfully delivered. Keywords: Rural Area, Mini-PC, Delay Tolerant Network
An Effective Chromosome Representation on Proportional Tuition Fees Assessment Using NSGA-II Jauhari, Farid; Mahmudy, Wayan Firdaus; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 4 No. 3: Desember 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.152 KB) | DOI: 10.25126/jitecs.201943161

Abstract

Proportional tuition fees assessment is an optimization process to find a compromise point between student willingness to pay and institution income. Using a genetic algorithm to find optimal solutions requires effective chromosome representations, parameters, and operator genetic to obtain efficient search. This paper proposes a new chromosome representation and also finding efficient genetic parameters to solve the proportional tuition fees assessment problem. The results of applying the new chromosome representation are compared with another chromosome representation in the previous study. The evaluations show that the proposed chromosome representation obtains better results than the other in both execution time required and the quality of the solutions.
Website Visitors Forecasting using Recurrent Neural Network Method Arya, Putu Bagus; Firdaus Mahmudy, Wayan; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 6 No. 2: August 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1104.939 KB) | DOI: 10.25126/jitecs.202162296

Abstract

Abstract. The number of visitors and content accessed by users on a site shows the performance of the site. Therefore, forecasting needs to be done to find out how many users a website will come. This study applies the Long Short Term Memory method which is a development of the Recurrent Neural Network method. Long Short Term Memory has the advantage that there is an architecture of remembering and forgetting the output to be processed back into the input. In addition, the ability of another Long Short Term Memory is to be able to maintain errors that occur when doing backpropagation so that it does not allow errors to increase. The comparison method used in this study is Backpropagation. Neural Network method that is often used in various fields. The testing using new visitor data and first time visitors from 2018 to 2019 with vulnerable time per month. The computational experiment prove that the Long Short Term Memory produces better result in term of the mean square error (MSE) comparable to those achieved by Backpropagation Neural Network method.
Internet of Things (IoT) Cloud Platform Using MQTT End-to-Cloud Architecture Bakhtiar, Fariz Andri; Habibi, Moh. Wildan; Bhawiyuga, Adhitya; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1215.922 KB) | DOI: 10.25126/jitecs.202163319

Abstract

IoT devices are constrained in computation and storage, therefore cannot store all long-term obtained data or perform complex computations. Shifting those jobs to cloud platform are feasible, yet rising heterogeneity and security issues. This study proposes an IoT cloud platform to facilitate communication among heterogeneous devices and the cloud while ensuring devices’ validity. It uses publish/subscribe paradigm with an end-to-cloud architecture and HTTP-based auth server. The proposed system has successfully addressed heterogeneity and security issues. Performance tests conclude that the fewer publishers publish data simultaneously, the smaller the delay. Moreover, the system performs better at up to 250 publishers as the average delay is under 1000 ms, compared to 500 publishers that has average delay above 1000 ms. On its scalability, in 250-concurrent-publishers experiment, the system affords 191 publishers responded in under one second with 100% success rate. In 500-concurrent-publishers one, 187 responded in under one second with 99% rate.
Co-Authors A.A. Ketut Agung Cahyawan W Abdurahman, Javil Egi Pratama Adhitya Bhawiyuga, Adhitya Adinata, Saif Daffa Aditya, Sri Praba Agung Setia Budi, Agung Setia Agus Supriyadi Akbar, Hawwin Purnama Akbar, Zulhaydar Fairozal Alami, Muhammad Kholif Ali Awaludin Ali Ridho Barakbah Andani Angger Abdul Razak Ardhiantika, Pitra Arifin, Muhammad Jainal Arsyada, Muhammad Afifudin Arya, Putu Bagus As'ad, Sholihin As'ad, Sholihin Ash Shidiq, Ahmad Fauzan Ashadi, Imam Asmara, Rengga Athallah Nugroho, Farras Baehaqi Bagus Adi Pamungkas Bakhtiar, Fariz Andri Bambang Suhendro Bima Sena Bayu Dewantara Budi Utomo Citra Nurina Prabiantissa Dadet Pramadihanto Darwis, Zulmahdi Debianto, Ikhsan Debianto, Ikhsan Desi Amirullah, Desi Dianawanti, Dianawanti Diraja, Ananda Fitra Duanda, Prada Dwi Susanto Dzakie, Muhammad Naufal Edy Purwanto Eko Sakti Pramukantoro, Eko Sakti Eko Setiawan Errol U. Hutagalung Fachrurrozie Haris, Muhammad Ahlan Fadli, Khafidzun Fandisya Rahman Fathurrohim, Moh Fikri Aulia Fitra Abdurrachman Bachtiar Gumilang B, R. Lintang Guznan, Mahendra Habibi, Moh. Wildan Handono, Maystia Tri Hantara, Hana Hari Trisnawan, Primantara Harisna, Bernas Cakra Sakti Henryranu, Barlian Herna Puji Astutik Hidayat, Muhammad Aksa Imam, Eriria Indra Adji Sulistijono Ismiarta Aknuranda Jabbar Nendra Putra, Jabbar Jauhari, Farid Kadir, Arif Abdul Kasyful Amron Kurniasari, Arvita Agus Kushendrahayu, Kartika Kusno Adi Sambowo Kuspadwati, Andriyani Budi Lakmi Makarti, Lakmi Lazuardy, Ryan Ramadhan M Udin Harun Al Rasyid, M Udin Harun Mindrasari, Pricillia Muhammad Adha Ilhami Muhammad Muttaqin Muhammad Nashirudin, Muhammad Muhammad Niswar Muhammad Yani Bhayusukma, Muhammad Yani Muhammad, Abdur R. Muhammad, Farhan Muslim, ST., MT., Ph.D, Muhammad Aziz Neny Kurniati Nugraha, Aditya Nugraha Nurdewanto, Abimanyu Danu Nurindiyani, Artiarini Kusuma Onny Setyawati Pamenang, Muhammad Unggul Perdanasari, Lukie Pramanto, Aris Cholid Baicuni Puji Astutik, Herna Pujianto Pujianto Putri, Rismaya Nurrahma R. Susworo Rabani, Muhammad Iqbal Raden Arief Setyawan Rahagiyanto, Angga Ramadhani, Muhammad Fauzan Ramadhani, Muhammad Fauzan Revindasari, Fony Riyanto Sigit, Riyanto Royani, Itzna Fauziah Roziqin, Mochammad Choirur S A Kristiawan Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar, Sabriansyah Salfikar, Inzar Sasongko, Harjun Adhitya Sa’dyah, Halimatus Sesulihatien, Wahjoe Tjatur Setiono Setiono Setiya Budi, Agus Setyowati Setyowati Setyowati, Aulia Dwi Sudaryanto, Aris Suhardiman, Marvel Natanael Sulandri, Sulandri Sunarmasto, Sunarmasto Sunarmasto, Sunarmasto Suprapto Siswosukarto Sutawijaya, Bayu Tessy Badriyah, Tessy Tita Karlita Tri Harsono Tri Pranoto, Ferry Wayan Firdaus Mahmudy Wicaksono, Adi Purwoko Wicaksono, Andri Permana Widhi Yahya Widi Sarinastiti