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Rifki Suwandi
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Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra
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CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)
Published by Universitas Andalas
ISSN : -     EISSN : 27224422     DOI : https://doi.org/10.25077/chipset
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
CHIPSET (Journal on Computer Hardware, Signal Processing Embedded System and Networking) is a scholarly periodical. CHIPSET will publish research papers, technical papers, conceptual papers, and case study reports. This journal is published by Computer Engineering Department at Universitas Andalas, Padang, West Sumatra, Indonesia. CHIPSET mainly discusses embedded devices, networking, and mobile computing engineering aspects.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 86 Documents
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RANCANG BANGUN ALAT PELATIHAN PARKIR MOBIL BERBASIS MIKROKONTROLER Adnediel, Gery; Yendri, Dodon
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.5.02.116-125.2024

Abstract

The increasingly limited parking area certainly requires someone to be more proficient in parking a car. Arduino is an electronic board device equipped with open source software, where this device is included in the ATMega microcontroller family and functions as a single-board microcontroller designed to facilitate the use of electronics in various fields released by Atmel. The ultrasonic sensor HC-SR04 is an ultrasonic sensor that works like a sonar system on Bats and Dolphins where in this sensor there is a sender and receiver, this sensor has a range specification of 2 cm - 400 cm with a resolution of 0.3 cm, and an angle range of less than 15 degrees. To prevent failure or mistakes when parking a car usually takes longer to learn than learning to drive a car itself. LCD (Liquid Crystal Display) functions as a display medium that uses liquid crystals as a display of data, characters, letters and graphics.
RANCANG BANGUN ALAT UKUR KUALITAS TANAH UNTUK REKOMENDASI TANAMAN BERBASIS MIKROKONTROLER Anggraini, Yuni; Ferdian, Rian; Yendri, Dodon
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.5.02.84-97.2024

Abstract

Indonesia is known as an agrarian country which is very suitable as a farming area. In farming, of course, many factors affect the growth and development of planted plants. One of the factors that influence this is soil quality. Therefore, research was conducted to make design a soil quality measuring instrument for microcontroller-based plant recommendations. The purpose of this design is that the system can measure soil quality and send measurement information and recommend plants that are suitable for planting on a particular land through the Android application. This soil quality measuring device uses an ESP32 microcontroller equipped with Wifi, a DS18B20 sensor, a Soil Moisture sensor, and a soil pH sensor. The system performs input processing using the Tsukamoto fuzzy logic method. Where the results obtained in this design test are the system can send the results of soil quality measurements and recommendations for suitable plants to be planted then can send measurement information and recommendations through the Android application. So it can be concluded that the soil quality measurement tool for recommending plants can work well and has fulfilled the purpose of making this tool.
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.
Prototype of Monitoring System for Power Absorption and Solar Panel Maintenance on Website-Based Solar Power Plant Ananda, Melly Wasilah; Yolanda, Desta; Anandika, Arrya
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.5.01.40-48.2024

Abstract

Solar power plants (PLTS) are a source of electrical energy that will never run out and will not damage the environment. PLTS is an alternative energy source when an electricity supply has not reached an area or has no commonly used power generation source, such as gas or water. In PLTS, solar panels are devices that need to be considered to maintain the performance of solar panels on PLTS. Several things must be considered, as solar panels must be protected from dust and dirt that can block sunlight. Solar panels should also not dry themselves after being wet with water because there will be traces of water left behind. Moisture on the surface of solar cells significantly reduces cell performance due to the disruption of the absorption and refraction of sunlight. To overcome this problem, the author proposes to design a system that can monitor the absorption of power carried out by solar panels and perform maintenance on solar panels in the form of cleaning from dust and dirt automatically and helping to dry after the rain subsides on the surface of solar panels. This system is integrated with the website so that officers can monitor through the monitoring website interface. This designed system can optimize power absorption on solar panels and help officers know the results of power absorption by solar panels.
Rancang Bangun Pengemasan Produk Kacang Goreng Otomatis Berbasis Mikrokontroler Hasanah, Yusni; Puteri Novani, Nefy
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.5.01.49-57.2024

Abstract

The working system of this Automatic Fried Bean Product Packaging tool uses Arduino Mega2560 as a microcontroller, then a screw on the funnel to accelerate the descent of the product into the packaging plastic and prevent blockages, infrared sensors to detect product availability in storage containers. The tool made uses volume measurements to minimize error on the scales using a load cell sensors. The type of research used in making the final assignment is action research which is carried out carefully, logically and systematically. The conclusions of this research are (1) The system can detect the supply of fried peanuts in the funnel/silo using infrared FC-51 sensor with a distance range of 1 – 8 cm. (2) The system can read the mass input selected by user, namely 75 g, 100 g, and 150 g with a push button and displayed through the LCD. (3) The system can fill the fried peanuts into packages according to the mass that has been set through the KY-008 laser sensor and laser receiver, using the tube volume formula with a percentage error of 4.5% for a mass of 75 grams, 3.83% for a mass of 100 grams, and 5.41% for a mass of 150 grams. (4) The system can perform the package closing process using servo motors, heating elements, and stepper motors. The duration of time required by the heating element in gluing the plastic ranges from 3 to 4 seconds.
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."
Alat Filling Adonan Cair Otomatis Untuk UMKM Berbasis Mikrokontroler Ariyadi, Hana Putri; Suwandi, Rifki
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.5.02.110-115.2024

Abstract

Alat ini dirancang untuk mendukung kegiatan produksi pada UMKM, terutama dalam bidang pembuatan kue yang melibatkan adonan cair dalam produksinya. Seringkali pemilik usaha kue tersebut mengalami kerugian. Kerugian tersebut disebabkan oleh pengisian adonan yang kurang tepat karena dilakukan secara manual sehingga adonan tersebut memiliki ukuran yang tidak sama. Dengan menggunakan sensor dan komponen elektronik seperti mikrokontroler, pompa diafragma, dan sensor water flow, alat ini mampu memastikan isi atau volume adonan yang dikeluarkan sama pada setiap cetakan, sehingga dapat mengurangi risiko kerugian akibat ukuran kue yang tidak sama besar. Alat ini diharapkan dapat menjadi solusi dalam mengatasi ketidaktepatan saat pengisian adonan cair secara manual, sehingga kue yang dihasilkan sama besar untuk setiap cetakannya. Pengujian alat menunjukkan bahwa alat mampu bekerja pada adonan yang memiliki niali viskositas sekitar 1500-3000 cP. Alat ini dapat mengisi adonan sama banyak dengan rata-rata persentase keberhasilan 98,46% dengan 4 nilai viskositas yang berbeda.
Design Of A Portable Mini Pump It Up System Based On Mini Computer For Children's Gross Motor Improvement Prima, Lucky; Anandika, Arrya; Purbolingga, Yoan; Syahputra, Ronaldo
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.5.02.126-131.2024

Abstract

The increasing influence of smartphones on young children has raised concerns about the delayed development of gross motor skills, particularly in early childhood. This issue is significant in Indonesia, which ranks fifth in ASEAN for birth rates, resulting in a large population of children at risk. Excessive smartphone use by children leads to decreased physical activity, potentially causing health problems such as obesity and reduced physical fitness. The objective of this study is to design and develop a portable system, called the "Mini Pump It Up," based on a mini-computer (Raspberry Pi 5), that encourages children to engage in more physical activities. This device is intended to divert children from excessive smartphone usage, thereby stimulating their gross motor skills development. Additionally, the system is designed to be used anywhere without requiring an external power source. The research concludes that the system successfully operates in portable mode without the need for a power supply, sustaining functionality for 3 hours, 10 minutes, and 15 seconds. Furthermore, the system effectively captures the interest of children, as evidenced by 84.21% of the 19 children participants choosing to interact with the product instead of engaging with smartphones.
Periodontal Disease Detection with Machine Learning Technology From Radiographic Images : An Interdisciplinary Study Of Dentistry and Computer Science Fadhillah, Yusra; Ade Ismail Abdul Kodir; Muhammad Noor Hasan Siregar
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.5.02.1-8.2024

Abstract

This study aims to evaluate the effectiveness of the Convolutional Neural Network (CNN) model in identifying periodontal disease using dental images. With the applied method, the CNN model was trained using a dataset consisting of 40 dental images and tested on 55 images to evaluate its ability to classify the images as healthy or periodontal. The evaluation results showed that the CNN model achieved an overall accuracy of 91.16%. The model precision for healthy images reached 92.39%, while the precision for unhealthy images was 91.05%. Recall sensitivity for healthy images is 91.16%, and for F1-Score images is 91.07%. The data shows that the model has better performance in identifying healthy images compared to periodontal images. To improve the performance of the model, data augmentation techniques such as rotation, flipping, and scaling were applied, which gave a slight improvement to the results. However, the limited size of the dataset seems to be an obstacle in achieving higher accuracy. Therefore, this study recommends expanding the dataset size and applying more complex model architectures or transfer learning techniques to improve detection performance. The conclusion of this study shows that CNN models have potential for periodontal disease detection, but need further development to improve accuracy and reliability. This research contributes to the development of medical detection technology and opens a path for further research in improving periodontal disease detection systems using CNN technology.

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