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All Journal HAYATI Journal of Biosciences ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Sinergitas PkM & CSR KACANEGARA Jurnal Pengabdian pada Masyarakat Building of Informatics, Technology and Science Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Robotics and Control (JRC) Jurnal Teknologi Bahan dan Barang Teknik Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun eProceedings of Engineering Jurnal Rekayasa elektrika
Bayu Erfianto
Universitas Telkom
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Internet of Things: Water Quality Classifying Based on Estimation Dissolved Oxygen Solubility and Estimation Unionized Ammonia for Small-scales Freshwater Aquaculture Shandikri, Rheza; Erfianto, Bayu
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vo. 6, No. 3, August 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i3.1329

Abstract

In aquaculture, poor water quality can affect fish growth and mortality. Water quality parameters such as ammonia, temperature, pH, and dissolved oxygen must be controlled and monitored. There are available measuring devices for dissolved oxygen and ammonia levels, but measurements cost is not suitable for small-scale aquaculture and are manually process. Our experimental study proposes the Emerson formula to find the estimated value of unionized ammonia and the Benson-Krause formula to find the estimated dissolved oxygen solubility value without using an ammonia sensor or dissolved oxygen sensor. Internet of things can be applied to aquaculture to monitor and collect water parameter data without human intervention. The values ​​of both estimates are validated using the Seneye Sensor. RMSE and MAE are used to calculate the performance evaluation between the Seneye value and the estimated value. Fuzzy logic clasify water quality derived from estimates of ionized ammonia and estimates of dissolved oxygen as input.
Stability and Vulnerability of Bird Flocking Behaviour: A Mathematical Analysis Bayu Erfianto; Intan Muchtadi-Alamsyah
HAYATI Journal of Biosciences Vol. 26 No. 4 (2019): October 2019
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.84 KB) | DOI: 10.4308/hjb.26.4.179

Abstract

Given a large number of birds in the flock, we mathematically investigate the mechanism the birds move in a collective behavior. We assume that each bird is able to know its position and velocity of other birds within a radius of communication. Thus, to be able to fly in the flock, a bird has to adjust its position and velocity according to his neighbors. For this purpose, first of all, we analyze how the connectedness of the bird interaction network affects the cohesion of the stable bird flock. We further analyze a condition when the flock is vulnerable, which is mathematically indicated by means of the presence of an articulation point in bird communication network.
Upwelling Solution Prototype Using Wireless Sensor Network Novian Anggis Suwastika; Sidik Prabowo; Bayu Erfianto
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.128

Abstract

One of the problems in the freshwater fisheries sector is the phenomenon of upwelling can occur anytime without warning signs, especially in lakes and lake. This problem causes a failed harvest and fish farming business owners suffered a great loss due to the death of fish in large numbers. Upwelling caused by toxic substances results increased nitrification from fish feces and remaining fish feed deposited at the bottom of the Lake and rises to the surface quickly. Ammonia (NH3) in the form of ionized causing no fish that are on the surface of the Lake is not enough oxygen to meet the needs of hemoglobin, so cannot bind oxygen or lack of dissolved oxygen (DO). The condition causes the death of the fish very much. This research built a monitoring system to monitor the condition of the temperature at the surface and at the underwater of the lake and to monitor DO levels to check the possibility of upwelling. Temperature sensor and DO sensor connect with microcontroller and . The results of experiment system on the area fish farms (karamba) and not the area fish farms, obtained the test results are accurate and real time.
Pemberdayaan guru paud RA Al-Ghifari Sukabirus Dayeuhkolot dalam penyusunan bahan ajar berbasis online Vera Suryani; Bayu Erfianto; Andrian Rakhmatsyah
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 4, No 2 (2021): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v4i2.868

Abstract

Kasus Corona Virus Disease 2019 (Covid-19) yang semakin meningkat mengharuskan proses kegiatan belajar mengajar bagi peserta didik untuk sementara waktu dilakukan di rumah. PAUD dan TK Al-Ghifari Sukabirus merupakan salah satu sekolah yang terkena dampaknya. Saat ini, proses kegiatan belajar mengajar masih menggunakan metode konvensional, yaitu hanya pemberian tugas offline kerumah siswa. Pembelajaran tidak efektif untuk siswa dikarenakan tidak ada kegiatan mengajar secara tatap muka oleh guru kepada siswanya. Beberapa guru juga belum terlalu familiar dengan penggunaan media pembelajaran daring, seperti Google Meet maupun Google Classroom . Dengan demikian diperlukan suatu cara transfer knowledge penggunaan media daring yang dapat mendukung proses belajar mengajar di PAUD dan TK Al Ghifari. Tujuan kegiatan pengabdian masyarakat ini ialah mendukung pembelajaran jarak jauh dengan media daring (dalam jaringan) dengan melakukan penyuluhan kepada guru PAUD dan TK Al-Ghifari Sukabirus mengenai cara pembelajaran online menggunakan aplikasi Google Meet, Google Classroom, dan penyusunan bahan ajar berbasis online.
On the Experiment of Path Planning Using Multi-way Points with A* Algorithm for Autonomous Surface Vehicle Bayu Erfianto; Adysti Adrianne; Ramzy Rashaun Arif
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 2, May 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i2.1244

Abstract

Commonly, surveillance activities on lake waters is mostly carried out by using a surface vehicle as special-designed vehicle, especially to conduct water quality measurements, underwater surveys, and bathymetry mapping. However, conventional survey and monitoring still involves humans on the site. If a survey is conducted during strong wind conditions, it could jeopardize surveyor’s safety. Therefore, a vehicle must have several criteria, e.g., it must be pretty spacious and comfortable to carry surveyors, free from engine vibrations, stabilized and easy to maneuver, and the surveyor's safety can be guaranteed. This paper discusses preliminary research aiming to develop an Autonomous Raft Vehicle (ARV), a type of autonomous unmanned surface vehicle. The ARV is equipped with autonomous control based on multi-way-points with an A* algorithm. Thus, a user only requires giving a command once initially during path planning. A* algorithm over multi-way-point could improve ARV navigation when there are obstacles along the predetermined trajectory. Hence the predetermined trajectory will be maintained throughout the mission. It is a significant contribution to this paper.
Forensic Analysis of Braking Classification Based on Acceleration, Jerk, and Velocity Data Bayu Erfianto; Andrian Rahmatsyah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vo. 6, No. 3, August 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i3.1284

Abstract

Nowadays, four-wheeled vehicles are equipped with an event data recorder (EDR) device to record sensors data. With advances in-memory technology, EDR provides evidence for forensic analysis after an accident happens, that uses information technology to facilitate forensic analysis to provide complete and valuable results using digital investigations. Several types of research have been conducted to reconstruct accidents from forensic data and Fuzzy Logic is an alternative method for classifying crash data taken from the accelerometer due to less complexity of implementation. Vehicle braking data is one of the most important evidence for digital investigation, since braking is a complex process determined by many factors, such as the condition of the vehicle, road construction, and the driver’s physiological condition. However, the existing digital investigation still process vehicle speed, deceleration, and varia- tion time of deceleration (known as a jerk) in separated manner to determine braking distance, driver response time, and braking category. The problem identified in this paper is how to use deceleration, velocity, and jerk to categorize the braking evidence forensic analysis. In this paper, forensic analysis is limited to produce forensic evident of braking events based on the collected data. The contribution of this paper is to propose a braking detection model by combining acceleration, speed, and jerk data into a Fuzzy Inference System. As a result, a forensic analysis of braking data can better understand the braking maneuvers, which can be further developed to identify the cause of the accident and provide recommendations on which actions to include in future analyses.
Forecasting Fuel Consumption Based-On OBD II Data Satrio Nurcahya; Bayu Erfianto; Setyorini Setyorini
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 2 (2022): August, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.2.659

Abstract

Cyber Physical System consists of computing devices that communicate with each other by interacting with the physical world assisted by sensors and actuators with an iterative response. Intelligent Transportation System which aims to apply information and communication technology in every transportation area. Applying ITS to vehicles, especially in the aspect of fuel consumption, vehicles must begin to be able to analyze the use of fuel that is being used to provide users so that users can be more effective. Regarding the analysis of fuel consumption, several researchers have done this with several existing methods such as ANN, SVM and the like. The use of the Multivariate time series method is used as a solution to the forecast analysis of vehicle fuel consumption. In this study, data from vehicles obtained from OBD-II will be processed using the Multivariate time series method with output in the form of analysis and visual data from the forecast with parameters related to RPM, TPS and fuel consumption. So the expected result is the relationship between RPM, TPS and fuel consumption as well as the formation of a system model to obtain sample data related to RPM, TPS and fuel consumption.
Sistem Monitoring Penggunaan Energi Listrik Pada Pembangkit Listrik Tenaga Anginstudi Kasus : Lentera Angin Nusantara (lan) Muhammad Hanif Abdillah; Bayu Erfianto; Catur Wirawan Wijiutomo
eProceedings of Engineering Vol 2, No 2 (2015): Agustus, 2015
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak Sistem monitoring energi listrik yang ada pada power house Lentera Angin Nusantara (LAN) menggunakan rangkaian listrik yang disebut Data logger. Data logger berfungsi merekam arus listrik DC ( direct current ) dan tegangan pada baterai penyimpan energi listrik yang dihasilkan oleh wind turbine. Petugas setiap harinya mengambil data arus dan tegangan dari data logger yang tersimpan di MMC (multimedia card). Pengambilan data hanya pada saat-saat tertentu. Kemudian, petugas mengolahnya menjadi grafik. Sistem monitoring yang ada masih bersifat manual, masih terdapat human interference. Masalah yang timbul adalah ketika petugas mengambil MMC untuk diambil datanya maka monitoring terhenti. Selain itu pengambilan data hanya pada waktu-waktu tertentu saja tidak bersifat real-time. Format data yang terdapat pada MMC adalah CSV, perlu proses pengolahan data untuk disajikan dalam bentuk grafik arus tegangan dan daya. Sistem monitoring berbasis komunikasi machine-to-machine (M2M) dengan menggunakan protokol MQTT (Message Queueing Telemetry Transport) untuk solusi dari permasalahan diatas. Sebagai MQTT Client Publisher adalah mikrokontroler Arduino Uno yang tertanam program C++ atau platform perangkat lunak berbasis mikrokontroller dengan menggunakan library PubSubClient. Data arus dan tegangan diperoleh dari sensor arus dan tegangan. Kemudian diakuisisi oleh mikrokontroler, setelah itu di-publish secara realtime ke broker dengan nama topik tertentu “sensors/energymonitor”. Sebagai MQTT broker adalah HiveMQ. Pada broker data pesan energi listrik pada topik tertentu yang dikirimkan oleh mikrokontroller dan di simpan dalam log file. Kata kunci : Monitoring, baterai, Machine to machine Communication, MQTT Protocol, MQTT Client Publisher, MQTT Broker, MQTT Client Subscriber
Prototipe Otomasi Pengendalian Kadar Air Berbasis Logika Fuzzy Irma Yunita Masturi; Bayu Erfianto; Andrian Rakhmatsyah
eProceedings of Engineering Vol 2, No 3 (2015): Desember, 2015
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi saat ini banyak dikembangkan sistem pembudidayaan tanaman dengan memanfaatkan lahan sempit di sekitar daerah perkotaan yang mampu menghasilkan tanaman dengan kualitas baik dan sehat secara mandiri. Selain itu, keterbatasan waktu juga mengakibatkan kesulitan pemantauan tanaman seperti kontrol penyiraman dan intensitas penyinaran sehari-hari menjadi tantangan tersendiri yang sering ditemui. Tanaman membutuhkan air dan cahaya yang cukup agar dapat tumbuh maksimal sehingga perlu adanya pemantauan dan kontrol yang baik terhadap faktor-faktor pertumbuhan tanaman. Dalam penelitian ini dibangun prototipe sistem pemantauan kondisi tanaman dan pengendalian kadar air tanah pada tanaman. Pemantauan dan kontrol menggunakan data kondisi tanaman dalam selang waktu tertentu kemudian diolah menjadi referensi aksi aktuator. Model perancangan sistem memanfaatkan teknologi WSN (Wireless Sensor Network). Data diolah dan disimpulkan menjadi klasifikasi kondisi tanaman menggunakan metode Logika Fuzzy sebagai kendali sistem dan memberikan keluaran berupa aksi aktuator. Implementasi sistem yang dibangun menggunakan multisensor yaitu kadar air tanah, intensitas cahaya, ketinggian, waterflow dan pompa air sebagai aktuator. Hasil dari sistem ini berupa data kondisi tanaman, klasifikasi kondisi tanah berdasarkan hasil pengolahan akuisisi data sensor, dan aksi aktuator pompa berdasarkan hasil fuzzy. Kata Kunci : Wireless Sensor Network, logika fuzzy, aktuator.
Time Series On-Board Air Quality Index Benedictus Augusta Vianney; Bayu Erfianto
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 1 (2023): April, 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.1.695

Abstract

With the rapid development of technology, individuals forget about their health, plus during the pandemic, the indoor air quality becomes more of a concern. Maintaining air quality to be healthy and good for humans is by keeping the amount of pollutants in the air, such as Carbon Dioxide (CO2), Volatile Organic Compound (VOC), and Formaldehyde (HCHO), at a predetermined and agreed threshold. We propose an on-board air quality index detection system for indoor and forecast the AQI in the future. The system will use a Raspberry Pi 4 and a WP6003 sensor device that will capture parameters for the AQI. The parameter data is analyzed using a correlation matrix to determine the parameters that affect each other. Then classified using fuzzy logic to determine the quality index based on the value of each parameter. Then forecast using the ARIMA and LSTM methods for the next 30 minutes. The forecasting accuracy is calculated using the RMSE and MAPE metrics. The result shows that CO2, VOC, and HCHO are related. Comparison of the forecasting results of the two methods concluded that the LSTM outperformed ARIMA to forecast the AQI for the next 30 minutes based on the previous 10 hours of data.
Co-Authors Adhan Mulya Rahmawan Adysti Adrianne Andrian Rahmatsyah Andrian Rakhmatsyah Angga Juliat Saputra Arisandy, - Bedy Purnama Benedictus Augusta Vianney Benedictus Augusta Vianney Cahyani, Niken Dwi Catur Wirawan Wijiutomo Fauzi, Roki Fazmah Arif Y, Fazmah Gita Indah Hapsari Ilhamdaniah Ilhamdaniah Ilhamdaniah, Ilhamdaniah Indrarini Dyah Irawati Intan Muchtadi-Alamsyah Irma Yunita Masturi Juntriesta, Vera Khoiri, Isfa' Bil Maman Abdurohman Mas'ud Adhi Saputra Monterico Adrian Muhammad Hanif Abdillah Novian Anggis Suwastika Nugraha, Shinta Jitny Ayu Nusantara, Hadi Dharma Pahlevi , Rizka Reza Parman Sukarno Prihatni, Delita Rahmatsyah, Andrian Rahmawan, Adhan Mulya Ramzy Rashaun Arif Rendy Munadi Satrio Nurcahya SETIAWAN, ALDRY HERNANDA Setyorini Setyorini, - Shandikri, Rheza Sidik Prabowo Vera Juntriesta Vera Suryani Wirawan, Ilo Raditio