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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding Semnastek ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Information Technology and Computer Engineering Jurnal Hilirisasi IPTEKS (JHI) Jurnal Ecogen Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Journal of Disruptive Learning Innovation (JODLI) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking) Jurnal Rekayasa elektrika
Budi Rahmadya
Andalas University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Sistem Peringatan Dini Bencana Longsor Menggunakan Sensor Accelerometer dan Sensor Kelembabapan Tanah Berbasis Android Artha, Onny Octaviani; Rahmadya, Budi; Putri, Rahmi Eka
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 02 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.02.64-70.2018

Abstract

Landslide is one of the most frequent disasters in Indonesia, especially in hilly areas, valleys, and volcanoes. Geographical conditions that are generally mountainous areas and have slopes make the soil unstable. As a result, when the movement of the land becomes easy to slide. Ground shifts and excessive water content are the main causes of landslides. The landslide disaster can cause many losses, such as to cause loss of life, can disrupt transportation facilities, damage agricultural land, and various other consequences. In this study used sensor MPU6050 and Soil Moisture and NodeMcu sensors to provide early warning of landslides. Linear acceleration is detected by using MPU6050 sensor and will define the ground movement based on the scenarios developed in this study. Soil moisture sensor detects soil moisture. The result of soil movement detection and soil moisture is stored in file storage. When ground detection and soil moisture is greater than 51%, the alarm alert is sent to the user's smartphone with a 100% success percentage.
Pengaruh Non-Automatic Repeat Request (Arq) Mode Terhadap Packet Error Rate Pada Drone-Based Wireless Sensor Network Rahmadya, Budi; Ampuh Hadiguna, Rika
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129373

Abstract

Penelitian ini membahas tentang performa dari 2.4 GHz Zigbee wireless antenna untuk aplikasi wide-area wireless sensor network. Transmitter antenna di install pada drone sebagai media mobile wireless sensor network dan receiver antenna berada di lokasi tertentu pada lingkungan luar ruangan. Setingan alat untuk transmitter antenna dan receiver antenna yaitu non-Automatic Repeat Request (ARQ) mode sehingga data yang di terima oleh receiver dalam experimen ini nanti bisa menjadi perbandingan dengan hasil perhitungan teoritis menggunakan Matlab. Non-ARQ menjadi alternative untuk mengurangi konsumsi energi pada jaringan wireless sensor network. Dalam experimen ini dilakukan model point-to-point communication. Dari hasil experimen diperoleh jarak 0m-100m nilai dari Packet Error Rate (PER) untuk masing-masing ketinggian drone meningkat mencapai 17-18%. Lebih lanjut pada jarak 100m-150m nilai PER mengalami penurunan yaitu 15-16% untuk tiga ketinggian drone yang berbeda. Mulai dari jarak 150m-250m nilai PER mengalami kenaikan yang siginifikan, hingga mencapai PER 70% untuk ketinggian drone 30m,  PER 80% untuk ketinggian drone 45m dan PER 88% untuk ketinggian drone 15m. Pada jarak 250m-350m nilai PER terlihat masih konstan untuk ketinggian drone 45m dan ketinggian 30m yaitu mencapai nilai PER 78% pada jarak 350m, sedangkan untuk ketinggian drone 15m menunjukan nilai PER naik hingga mencapai 98% pada jarak 350m. Hasil simulasi dengan Matlab menunjukan Received Signal Strength Indicator (RSSI) terhadap jarak transmitter antenna dengan receiver antenna untuk ketinggian transmitter antenna 15m dan receiver antenna 1.5m. nilai RSSI terus meningkat -66 dBm pada jarak 20m dan ini adalah nilai RSSI terbaik. Lebih lanjut untuk ketinggian transmitter antenna 30m dan receiver antenna 1.5m. Nilai RSSI terus meningkat -73 dBm pada jarak 45m dan ini adalah nilai RSSI terbaik. Pada jarak 3m nilai RSSI terus meningkat -76 dBm pada jarak 62m dan ini adalah nilai RSSI terbaik.   Abstract This research discusses the performance of the 2.4 GHz Zigbee wireless antenna for wide-area wireless sensor network applications. The transmitter antenna is installed on the drone as a mobile wireless sensor network medium and the receiver antenna is located in a certain location in the outdoor environment. The device settings for the transmitter antenna and receiver antenna are non-Automatic Repeat Request (ARQ) mode so that the data received by the receiver in this experiment can later be compared with the results of theoretical calculations using Matlab. Non-ARQ is an alternative to reduce energy consumption in wireless sensor networks. In this experiment, a point-to-point communication model was carried out. From the experimental results, it was found that at a distance of 0m-100m, the Packet Error Rate (PER) value for each drone height increased by 17-18%. Furthermore, at a distance of 100m-150m, the PER value experienced a slight decrease, namely 15-16% for three different drone heights. Starting from a distance of 150m-250m, the PER value experiences a significant increase, reaching a PER of 70% for a drone height of 30m, a PER of 80% for a drone height of 45m and a PER of 88% for a drone height of 15m. At a distance of 250m-350m, the PER value appears to remain constant for a drone height of 45m and a height of 30m, namely reaching a PER value of 78% at a distance of 350m, while for a drone height of 15m, the PER value increases to reach 98% at a distance of 350m. The simulation results with Matlab show Received Signal Strength Indicator (RSSI) to the distance between the transmitter antenna and the receiver antenna for a transmitter antenna height of 15m and receiver antenna height of 1.5m. The RSSI value continues to increase -66 dBm at a distance of 20m and this is the best RSSI value. Furthermore, the height of the transmitter antenna is 30m and the receiver antenna is 1.5m. The RSSI value continues to increase -73 dBm at a distance of 45m and this is the best RSSI value. At a distance of 3m the RSSI value continues to increase -76 dBm at a distance of 62m and this is the best RSSI value.
Rancang Bangun Alat Pengendali Suhu untuk Meningkatkan Daya Serap Panel Surya berbasis Mikrokontroler Firmanto, M; Rahmadya, Budi
CHIPSET Vol. 6 No. 01 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.6.01.48-54.2025

Abstract

Penggunaan panel surya sebagai sumber energi terbarukan semakin berkembang untuk memenuhi kebutuhan listrik yang ramah lingkungan. Namun, efisiensi panel surya dapat dipengaruhi oleh suhu permukaan panel yang tinggi, yang dapat mengurangi daya serap energi matahari. Untuk mengatasi masalah ini, penelitian ini bertujuan merancang dan membangun alat pengendali suhu berbasis mikrokontroler yang mampu meningkatkan daya serap panel surya. Sistem yang dikembangkan menggunakan sensor inframerah MLX90614 untuk mendeteksi suhu, dikombinasikan dengan Arduino Uno sebagai pengolah data, serta pompa air untuk menyemprotkan air pada panel saat suhu mencapai ambang batas tertentu. Pada penelitian ini, panel surya dilengkapi dengan sistem pendingin otomatis yang aktif saat suhu permukaan panel mencapai 50°C dan akan menonaktifkan pompa setelah suhu turun hingga mencapai 25°C. Hasil pengujian menunjukkan bahwa sistem ini berhasil meningkatkan daya serap panel surya sebesar 5,5%, di mana tegangan rata-rata yang dihasilkan meningkat dari 21,98 V tanpa pendingin menjadi 23,21 V saat menggunakan alat pengendali suhu. Dengan demikian, alat ini berpotensi mendukung efisiensi energi pada panel surya, khususnya di wilayah dengan intensitas sinar matahari yang tinggi. Penelitian ini juga membuka peluang pengembangan lebih lanjut dalam hal pengaturan durasi penyiraman, jenis sensor, dan penggunaan pendingin alternatif lain untuk menjaga efisiensi energi dari panel surya dalam jangka panjang.
Design and Development of A Sorting System for Ripeness and Damage in Avocado (Persea Americana Mill.) Based on Machine Learning Nuari, Aldi; Rahmadya, Budi; Hafizulhaq, Fadli
CHIPSET Vol. 6 No. 02 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.6.02.175-185.2025

Abstract

Avocado is an important commodity that requires proper postharvest handling, particularly insorting based on ripeness levels and fruit condition. Conventional methods that still rely onmanual inspection have limitations in terms of accuracy and efficiency. This study proposes areal-time sorting system based on YOLOv8n running on a Raspberry Pi 4 Model B with aGoogle Coral accelerator to detect avocados and classify their ripeness levels as well as damage.The model was trained with a custom dataset and achieved a precision of 77.2%, recall of84.4%, and a macro-average F1-Score of 80.6%. The system was integrated with a camera forimage acquisition and a mini conveyor for the sorting process. Experimental resultsdemonstrated reliable detection with an inference speed of 11.7 ms per image, and field testingsuccessfully classified avocados according to their categories. This system has proven to beeffective, cost-efficient, and supports the improvement of avocado postharvest quality.
RANCANG BANGUN SISTEM PENGAWASAN PEMAKAIAN ALAT PELINDUNG DIRI BERBASIS SINGLE BOARD COMPUTER Hidayat, Pungky Irlan; Eka Putri, Rahmi; Rahmadya, Budi
CHIPSET Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.01.65-75.2024

Abstract

Industries in Indonesia currently have a high rate of work accidents. Badan Penyelenggara Jaminan Sosial (BPJS) noted that in 2021 there were 82,000 cases of work accidents of which 88% were caused by unsafe actions and 12% were caused by unsafe conditions. Personal Protective Equipment (PPE) is one of the safety protocols that is often ignored at work. Image Processing is part of Artificial Intelligence and one of the technology developments that can be used in supervising the use of PPE workers, You Only Look Once (YOLO) is a method in image processing that can detect workers' PPE. The research is aimed at supervising the use of PPE (Safety Helmet and Safety Shoes) from workers and providing real-time warnings when workers do not use PPE completely. This research will utilize hardware in the form of a webcam, raspberry pi, speakers, and servers. As for the software, YOLOv4 will be used as a method of detecting PPE for workers and the website as a medium of information for violations committed.
Sistem Kontrol Kadar Amonia Dan Tinggi Air Pada Kolam Penangkaran Tukik Penyu Pitos Hababil, Riego; Rahmadya, Budi
CHIPSET Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.01.58-64.2024

Abstract

Turtles are also one of the animals whose population is decreasing day by daydue to several factors ranging from climate change, disease, environmentaldamage and inadequate processing of conservation techniques and so on. Withthe status of turtles being endangered, special attention is needed for turtles inthe form of cultivating turtles, especially when the turtles are still 0-2 years oldor known as hatchlings. One of the important indicators in hatchling cultivationrequires good seawater quality management. One of the parameters of goodseawater quality is ammonia levels. This ammonia level can be formed naturallyby metabolic wastes and also food waste that decomposes in the water whichresults in the formation of ammonia levels. In turtle hatchling ponds it is alsonecessary to adjust the water level in the pond with a height of 5cm - 10cmbecause newborn hatchlings cannot dive. The importance of regular waterquality control such as ammonia levels and water level in ponds is veryimportant for the success of hatchling cultivation. Therefore, a research onmonitoring and controlling systems for ammonia levels and water levels usingthe TCS3200 color sensor is carried out to read the change in water color afteradministration of an ammonia test solution which will show the value ofammonia levels in water. Previously, water sampling was carried out by DCpumps and ultrasonic sensors to detect water level. Where this system canmonitor and control ammonia levels and height automatically and the resultscan be viewed using a smartphone through the Blynk application
Prototype Pendeteksi Kebakaran Hutan Berbasis Internet Guswan, Gizan; Rahmadya, Budi
CHIPSET Vol. 5 No. 02 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.5.02.98-109.2024

Abstract

Astimesadvance,forestsareincreasinglythreatenedanddamaged,oneofwhichisforest fires.Forestfiresoccurduetotwofactors:naturalfactorsandhumanfactors.Naturalfactorscausingforest fires include climate change and rising temperatures. Another factor is human activitythat damages forests for purposes such as industrial interests and land expansion. Currently,forest fires have been designated as a national natural disaster by the government because theyhave caused significant losses across various sectors. Forest fire management is generallyconducted through firefighting and post-fire handling, alongside prevention campaigns aimedat discouraging forest burning among communities. Early warning systems and detection arecrucialforforestfireprevention. Thetechnicalaspectissupportedbygovernmentinfrastructuresuch as observation towers to monitor fire-prone areas. Forest or peatland fires can start fromsmall ignition points and escalate into large blazes. During Indonesia's dry seasons, numerousignitionpointstypicallyoccurinKalimantanandSumatra,fueledbydrygrass,wood,andotherflammable materials. To identify fire-prone areas, the Keetch-Byram Drought Index method iscommonly used. This method assesses fire hazard based on dryness levels in specific regions.Accurate analysis helps prevent and manage land fires effectively. Regular education andoutreachprogramsareessentialtoraiseawarenessamongthepublicaboutthedangersofforestfires,preventionmethods,andproperfiremanagement.Theseeffortsaimtoincreasecommunity involvement in forest conservation. Furthermore, education serves as a means todemonstratepracticalfirefightingtechniquesandstrategiesdirectlyinthefield."
Co-Authors . Darwison AA Sudharmawan, AA Abdul Hamid Arrya Anandika Artha, Onny Octaviani Ashar, Muhammad Derisma Derisma Dhanny Jufril Dodon Yendri ERI BESRA, ERI Erma Gustini Fadli Hafizulhaq Fahmy, Rahmi Fahrul Ghazi Fajril Akbar Fanessa, Fanessa Ferdian, Rian Firmanto, M Fitri Ardiani Gentha Wijaya Guswan, Gizan Hakimi, Nurul Harits, Muhammad Dzakwan El Hersyah, Mohammad Hafiz Hidayat, Pungky Irlan Husnul Khatimah Ida Ayu Putu Sri Widnyani Iffah El Masrura Indrapriyatna, Ahmad Syafruddin Kartika Candra Kirana Khandra Fahmy Ma'ruf Ma'ruf Maruf Maruf, Maruf Masrura, Iffah El Meuthia, Meuthia Mohammad Hafiz Hersyah Nefy Puteri Novani Nefy Puteri Novani Nefy Puteri Novani Nuari, Aldi Onny Octaviani Artha Pitos Hababil, Riego Rahayu, Rita Rahmi Eka Putri Rahmi Eka Putri Rahmi Eka Putri, Rahmi Eka Ratna Aisuwarya Ratni Prima Lita Rida Rahim Ridho Ashshiddiq Rifki Suwandi Rifki Suwandi Rika Ampuh Hadiguna Rizka Hadelina Saldi, Wardah Awwalin Sanda Patrisia Komalasari Sari Surya Sari, Dellani Mutia Sari, Nandha Mustika SISKA, MIRA Surya Setiawan Suziana, Suziana Syafira, Tama Aulia Tati Erlina Tati Erlina Triani, Laura Amelia Vera Pujani Verinita, Verinita Wahyu, Kartika Werman Kasoep Yanti Yanti Yesi Elsandra Yesriva Nursyam Yolanda, Desta Yudi Mahendra Zakky Aulia