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Journal : CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)

Rancang Bangun Alat Pengemas Minyak Goreng Curah Otomatis Menggunakan Mikrokontroler untuk Usaha Mikro, Kecil dan Menengah Yudi Mahendra; Budi Rahmadya
CHIPSET Vol. 4 No. 01 (2023): 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.4.01.36-46.2023

Abstract

Masyarakat jarang membeli minyak goreng curah karena proses pengemasannya yang kurang higienis dan tidak steril. Proses pengemasan minyak goreng membutuhkan tenaga penjual secara langsung sehingga tidak bisa melayani pembeli dengan baik. Penelitian ini bertujuan untuk membuat sistem untuk mengemas minyak goreng curah secara otomatis. Jenis penelitian yang digunakan dalam penulisan tugas akhir ini adalah penelitian eksperimental. Penelitian ini dilakukan secara sistematis logis, dan teliti dalam melakukan pembuatan pengemas minyak makan otomatis menggunakan mikrokontroler arduino uno. Perancangan sistem ini terdiri dari tiga proses utama, yaitu pengiriman botol kemasan dan pendetekteksi persediaan botol kemasan, pengisian minyak goreng curah kedalam botol kemasan, serta penutupan botol kemasan untuk membangun alat pengemas minyak goreng dengan output buzzer sebagai suara peringatan ketika persediaan minyak goreng dan botol kemasan habis. Dari penelitian ini dihasilkan alat dengan ukuran: panjang 101cm, lebar 64cm, dan tinggi 34cm, dengan berat 3,87kg. Alat ini dilengkapi dengan mekanik pemberian tutup yang dapat memberikan tutup ketika botol lewat.
Rancang Alat Pengukur Tekanan Darah Otomatis Berbasis Internet Of Things Ridho Ashshiddiq; Budi Rahmadya
CHIPSET Vol. 4 No. 01 (2023): 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.4.01.23-35.2023

Abstract

Dalam skripsi ini penulis mencoba membuat suatu sistem pengukur tekanan darah otomatis yang dikontrol melalui aplikasi sehingga dapat digunakan dengan mudah dan efisien. Sistem pengukur tekanan darah otomatis berbasis Internet Of Things ini menggunakan sensor tekanan MPX10DP sebagai pembaca tekanan udara yang dihasilkan oleh motor DC menggunakan mikrokontroler Arduino Uno sebagai pengolah datanya. Proses pengukuran dilakukan dengan manset cuff yang dipasang di lengan pasien, kemudian dipompa sampai pada tekanan udara yang telah ditentukan dan selanjutnya baru dilakukan pengukuran tekanan darah. Perhitungan hasil pengukuran tekanan darah menggunakan rumus Analog Digital Converter. Prinsip kerja sistem ini hampir sama dengan tensimeter pada umumnya, hanya saja proses pengoperasiannya dilakukan secara otomatis dan hasilnya ditampilkan secara digital. Hal yang membedakan sistem ini dengan alat yang sudah ada adalah sistem dikontrol melalui aplikasi, dan pengukuran bisa dilakukan berulang sesuai timer. Sistem ini akan menampilkan keadaan tekanan darah pasien, dan timer untuk melakukan pengukuran berulang. Hasil pengujian sistem pengukur tekanan darah otomatis berbasis IoT ini sudah sesuai dengan tujuan. Sistem yang dibuat dapat digunakan untuk mengukur tekanan darah pada orang remeja,dewasa, hingga lansia. Tekanan yang diukur meliputi tekanan systole. Seluruh hasil pengukuran ditampilkan pada sebuah LCD berukuran 16x2 pada alat, ditampilkan juga pada aplikasi di smartphone android, dan juga pada firebase sebagai media untuk menyimpan data hasil pengukuran pasien, dan untuk input-an timer.
Rancang Bangun Perangkap Tikus Jenis Falling Floor Trap Menggunakan Dengan Notifikasi Android Berbasis Mikrokontroler Abdul Hamid; Budi Rahmadya; Arrya Anandika
CHIPSET Vol. 4 No. 02 (2023): 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.4.02.119-128.2023

Abstract

This Study aims to create a Falling Floor type of Rats Trap that can automatically catches and kills rats that enter the trap and then, it will send a notification to the user’s phone via telegram chat app also automatically set it back to steady state again once the times given to kill the rat is over by using a sensor while system is controlled by a microcontroller. The system consists several main components that construct the system, first Wemos D1 “a wifi connections ready microcontroller” that controls whole system, an ultrasonic sensor as the main input, it detects the range of the sensor from the rat that enter the trap, the exact range will be determined as the the right condition so that system says a rat is detected, servo motors that used as rat traps mechanic that move each exact part of rat traps, like moves the rat enter‘s door, moves the trap floor, and moves the fences insde the rat cage, and especially systems should be connected to an internet connection by the wemos D1, so that system can sends a notification to user’s phone if a rat caught by the system with overall success rate is 67%.
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."