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Reducing Data Social Network Utilizing Greedy Randomized Method Muhammad Rizqy Alfarisi; Andry Fajar Zulkarnain; Andry Alamsyah
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.188

There are many complex data in social networks that can be combined into large data sets which can be accessed. Large amounts of data require more storage and increase the computed summary costs. The need to know how to use data effectively and to extract information from reduced data that has the same information as super data before being reduced. the first thing to do is to convert any unstructured data into structured data utilizing the greedy randomized method, the data can be grouped and combined with other data in its vicinity, and the size of the data can be reduced because the node (user) grouping as a linked pair and is formed the best node around it. This paper presents how to use the minimum description length, as information theory to provide solutions in the model selection problem and apply it in a greedy randomized algorithm that can group unstructured data to reduce data size and provide visualization of the relationship between nodes and how accurate and faster greedy randomized would reduce and combined data into simple link nodes

MEASURING BABY’S BODY LENGTH UTILIZING IMAGE PROCESSING Windy Andhika Putra; Muhammad Rizqy Alfarisi; Gita Indah Hapsari; Periyadi
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 1 (2022)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v7i1.116

The Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6.

Reducing Data Social Network Utilizing Greedy Randomized Method Muhammad Rizqy Alfarisi; Andry Fajar Zulkarnain; Andry Alamsyah
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

There are many complex data in social networks that can be combined into large data sets which can be accessed. Large amounts of data require more storage and increase the computed summary costs. The need to know how to use data effectively and to extract information from reduced data that has the same information as super data before being reduced. the first thing to do is to convert any unstructured data into structured data utilizing the greedy randomized method, the data can be grouped and combined with other data in its vicinity, and the size of the data can be reduced because the node (user) grouping as a linked pair and is formed the best node around it. This paper presents how to use the minimum description length, as information theory to provide solutions in the model selection problem and apply it in a greedy randomized algorithm that can group unstructured data to reduce data size and provide visualization of the relationship between nodes and how accurate and faster greedy randomized would reduce and combined data into simple link nodes

Ubiquitous Electronic Health System - Rancang Bangun Smart Mouse dan Smart Watch Pengukur Denyut Jantung dan Suhu Tubuh Muhammad Rizqy Alfarisi
Journal of Science and Applicative Technology Vol 6 No 1 (2022): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v6i1.504

The purpose of this research is to design a Ubiquitous Electronic Health System to monitor health during activities. The Ubiquitous Electronic Health System is a health monitoring system and facilitator of human health support devices that are applied to devices commonly used in everyday life such as mirrors, chairs, computer mice, watches, mobile phones, and others by utilizing the Photoplethysmograph method. The equipment developed in this study consisted of a computer mouse and a watch that was added with a photodiode, infrared, and a DS18b20 sensor with functionality as a heart rate detector and body temperature measurement. into the body but the measurement or screening action is carried out with the help of sensors attached to the skin, measurements are carried out in real-time when the equipment is used daily, the measurement results can be seen on the mobile phone screen and desktop applications, the data obtained from the measurement results can then be sent to the server to be stored as a user's medical record which can be used by the user to carry out further examinations to the doctor. The parameters that are the points in this study are the number of heart beats per minute and the measurement of body temperature, these two parameters are tested by comparing the results of tests carried out by tools designed with oximeters and thermometers. The test results from the Ubiquitous Electronic Health System tool provide an accuracy of up to 98% for measuring heart rate and 85% for measuring body temperature. Design and schematic have been shown in this study.

SISTEM MONITORING TANAMAN BERBASIS INTERNET OF THINGS IBM BLUEMIX Andry Fajar Zulkarnain; Muhammad Rizqy Alfarisi
Jurnal Online Sekolah Tinggi Teknologi Mandala Vol. 14 No. 1 (2019): Jurnal Isu Teknologi
Publisher : Sekolah Tinggi Teknologi Mandala Bandung

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

Kelembaban serta suhu berperan penting dalam tingkat kesuburan tanaman, parameter jumlah air dapat mempengaruhi pertumbuhan tanaman tersebut. Tanaman akan membusuk atau mati jika kelebihan ataupun kekurangan air [1]. Plant monitoring system adalah sebuah sistem yang diharapkan dapat membantu dan meningkatkan kontrol terhadap pola hidup tanaman (tanaman hias) agar menghasilkan tanaman yang lebih baik pertumbuhannya. Dengan memanfaatkan konsep Internet of Things dibangunlah sebuah perangkat yang terintegrasi dengan cloud (IBM Bluemix) dan smartphone. Perangkat yang dibangun bertujuan untuk memantau temperatur, tingkat kelembaban udara dan kelembaban tanah yang ideal untuk pertumbuhan tanaman. Data yang diukur oleh perangkat akan dikirimkan ke cloud secara realtime dan diolah kembali menggunakan beberapa layanan yang telah disediakan pada cloud Bluemix. Data tersebut menjadi acuan jika terjadi perubahan kondisi pada lingkungan tanaman sebuah notifikasi akan dikirimkan pada smartphone pengguna agar pengguna dapat melakukan tindakan yang diperlukan.

Vicinity Monitoring of Military Vehicle Cabin to Improve Passenger Comfort with Fusion Sensors and LoRa RFM95W Fadillah, Wildan Muhammad Yasin; Mutiara, Giva Andriana; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Robotics and Control (JRC) Vol 5, No 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.21600

The application and utilization of technology to measure the level of comfort in mass-produced vehicles, including military vehicles, is constantly evolving. Currently, the testing of comfort parameters is carried out manually through human-driven test drives. Thus, the range of variability in measurements is extensive as it depends on the subjective experiential indications of experts. This research utilizes KY-037 sensor to measure noise level and BME280 sensor fusion to detect temperature, air pressure, humidity, and altitude. These parameters have a significant impact on passenger comfort inside the passenger cabin of military vehicles. This project included involves the development of LoRa-based communication medium using RFM95W technology. The system has extensive performance testing inside the passenger cabin of a military vehicle on various test area tracks. The test results indicate that the system is capable of accurately reading the KY-037 sensor, with a range of 80 - 141 dB depending on the tracks. The BME280 sensor consistently measures a temperature of 36,98°C, altitude readings ranging from 667-677 meter above sea level, maintaining a stable air pressure of 955.35 hPa, and measuring the lowest humidity level in the vehicle cabin at 24.34%. The LoRa technology possesses remarkable to extend the communication range, even in challenging environments, reaching distances over 2 kilometers. The response time for data sent in web-based applications consistently remains below 1 second. Thus, this system can assist experts in enhancing cabin passenger comfort standards by narrowing the range and making it more measurable.

PEMANFAATAN ARDUINO SEBAGAI BAHAN AJAR UNTUK PENGAJARAN ROBOTIKA DI SEKOLAH ALAM GAHARU Sari, Marlindia Ike; Rizqy Alfarisi, Muhammad
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1919

Di Sekolah Alam Gaharu terdapat kelas robotika yang dapat mendukumg potensi-potensi dan minat siswa di bidang robotika. Namun saat ini, pengajaran robotika masih menggunakan kit dari vendor, sehingga fitur-fitur dan modul modul yang dapat dieksplore masih terbatas pada yang disediakan vendor saja. Pembelajaran robotika mengakomodir minat dan passion siswa terkait robotika. Guru pengajar robotika masih menggunakan kit robotic dari vendor, dan mengantarkan para siswa ke berbagai ajang lomba robotika. Para siswa ini sering memenangkan perlombaan, baik regional, nasional, maupun internasional. Dengan pembangunan robot mengunakan Arduino, diharapkan dapat meningkatkan skill robotika terutama untuk pengajar sehingga dapat mengembangkan lebih luas dengan para siswa. Potensi lain, para siswa dapat dikenalkan dengan program studi D3 Teknologi Komputer, FIT, Universitas Telkom. Harapan ke depannya, siswa dapat melanjutkan studinya ke Universitas Telkom. Solusi yang ditawarkan adalah penggunaan Arduino untuk robotika dengan memperkenalkan cara kerja sensor dan jenis sensor lain, serta actuator sebagai output. Hal ini sebagai langkah awal untuk pembangunan robotika secara mandiri.

Vicinity Monitoring of Military Vehicle Cabin to Improve Passenger Comfort with Fusion Sensors and LoRa RFM95W Fadillah, Wildan Muhammad Yasin; Mutiara, Giva Andriana; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Robotics and Control (JRC) Vol. 5 No. 5 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i5.21600

The application and utilization of technology to measure the level of comfort in mass-produced vehicles, including military vehicles, is constantly evolving. Currently, the testing of comfort parameters is carried out manually through human-driven test drives. Thus, the range of variability in measurements is extensive as it depends on the subjective experiential indications of experts. This research utilizes KY-037 sensor to measure noise level and BME280 sensor fusion to detect temperature, air pressure, humidity, and altitude. These parameters have a significant impact on passenger comfort inside the passenger cabin of military vehicles. This project included involves the development of LoRa-based communication medium using RFM95W technology. The system has extensive performance testing inside the passenger cabin of a military vehicle on various test area tracks. The test results indicate that the system is capable of accurately reading the KY-037 sensor, with a range of 80 - 141 dB depending on the tracks. The BME280 sensor consistently measures a temperature of 36,98°C, altitude readings ranging from 667-677 meter above sea level, maintaining a stable air pressure of 955.35 hPa, and measuring the lowest humidity level in the vehicle cabin at 24.34%. The LoRa technology possesses remarkable to extend the communication range, even in challenging environments, reaching distances over 2 kilometers. The response time for data sent in web-based applications consistently remains below 1 second. Thus, this system can assist experts in enhancing cabin passenger comfort standards by narrowing the range and making it more measurable.

Smart brake pad early warning system: enhancing vehicle safety through real-time monitoring Fauzi, Afif Syam; Mutiara, Giva Andriana; Alfarisi, Muhammad Rizqy; Gunawan, Tedi; Rifqi Zain, Muhammad Aulia
Computer Science and Information Technologies Vol 6, No 2: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i2.p122-135

A contributing factor to traffic accidents is brake pad failure, which diminishes braking system performance and extends braking distance. This work develops a prototype utilizing internet of things (IoT) to measure brake pad thickness, hence enhancing driver awareness through real-time monitoring. The system establishes the thickness detection threshold at 75% (3-4 mm) and 50% (5–6 mm) as a cautionary parameter. The thickness parameter employs an American wire gauge (AWG) 18 cable to connect to the ESP32 microcontroller. The web-based IoT monitoring interface employs Laravel. This method enables drivers to get prompt notifications regarding the decrease in brake pad thickness, hence permitting urgent preventative maintenance to mitigate the risk of accidents. The system underwent testing through friction at a rotational speed of 600 to 6,000 rpm. The test findings indicated that the sensor precisely measured the brake pad thickness with a prototype response time of a second. This system is suitable for implementation on old model vehicles that do not have an early warning system. The installation of this technology is anticipated to enhance driver knowledge of the state of the brake pads, hence potentially diminishing the danger of brake system failure caused by unmonitored pad wear.

BHMI: A Multi-Sensor Biomechanical Human Model Interface for Quantifying Ergonomic Stress in Armored Vehicle Mutiara, Giva Andriana; Adiluhung, Hardy; Periyadi, Periyadi; Alfarisi, Muhammad Rizqy; Meisaroh, Lisda
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 3 (2025): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i3.877

Ergonomic stress inside armored military vehicles presents a critical yet often overlooked risk to soldier safety, operational effectiveness, and long-term health. Traditional ergonomic assessments rely heavily on subjective expert evaluations, failing to capture dynamic environmental stressors such as vibration, noise, thermal fluctuations, and gas exposure during actual field operations. This study aims to address this gap by introducing the Biomechanical Human Model Interface (BHMI), a multi-sensor platform designed to objectively quantify ergonomic stress under operational conditions. The main contribution of this work is the development and validation of BHMI, which integrates anthropometric human modeling with embedded environmental sensors, enabling real-time, multi-dimensional ergonomic data acquisition during vehicle maneuvers. BHMI was deployed in high-speed off-road vehicle operations, simulating the 50th percentile Indonesian soldier’s seated posture. The system continuously monitored vibration (0–16 g range), noise (30–130 dB range), temperature (–40°C to 80°C), humidity (0–100% RH), and gas concentration (CO and NH₃) using calibrated, field-hardened sensors. Experimental results revealed ergonomic stress levels exceeding human tolerance thresholds, including vibration peaks reaching 9.8 m/s², cabin noise levels up to 100 dB, and cabin temperatures exceeding 39°C. The use of BHMI improved the repeatability and precision of ergonomic risk assessments by 27% compared to traditional methods. Seating gap deviations of up to ±270 mm were identified when soldiers wore full operational gear, highlighting critical areas of postural fatigue risk. In conclusion, BHMI represents a novel, sensor-integrated approach to ergonomic evaluation in military environments, enabling more accurate design validation, reducing subjective bias, and providing actionable insights to enhance soldier endurance, comfort, and mission readiness.

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