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

Rancang Bangun Sistem Analisa Biaya Manfaat Ternak Sapi Berdasarkan Berat Badan Sapi Emyr Riyanda Azra; Dodon Yendri; Adrizal
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.4.02.93-106.2023

Abstract

Cattle fattening proccess is very important to increase the weight of cattle before being sold. However, there are many traditional breeders looking for cows that have reached puberty, but the cow's body is still thin. This could be due to the absence of records in monitoring the weight growth of cows so that feeding becomes less precise. Based on these problems, a system was designed that helps farmers in managing their livestock management by recording the progress of each beef cattle that are kept, regulating cattle feeding so that it is more optimal, and knowing the cost benefits of cattle that are kept based on the growth of cow body weight. This system uses two load cells to weigh cows. The weight of the weighed cow can be stored in the web application database. The main function of this system is to be able to calculate and display the cost of benefits of cattle based on the growth of the cow's body weight. Based on the tests carried out, the system can weight cows using two 500kg load cells with an error value of 3.61%. The system can check cow data using keypad input with an average time of 3.99 seconds and store cattle data in the database with an average time of 4.99 seconds. The system can calculate the cost of cow feed needs in one month and income due to changes in cow weight with a 100% success rate.
Rancang Bangun Sistem Buka Tutup Otomatis Kotak Penjemur Kulit Sapi Berbasis Mikrokontroler Esp32: Indonesia Khairunnisa; Yendri, Dodon
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.6.01.30-37.2025

Abstract

Proses pengeringan kulit sapi merupakan langkah penting dalam pembuatan produk kerupuk kulit, terutama di Sumatera Barat. Pengeringan tradisional menggunakan sinar matahari memakan waktu lama, bergantung pada cuaca, dan membutuhkan pengawasan intensif. Sementara itu, metode pengeringan dengan oven atau heater memerlukan konsumsi energi yang besar dan kurang ramah lingkungan. Oleh karena itu, penelitian ini bertujuan untuk merancang dan membangun sistem pengering kulit sapi otomatis berbasis mikrokontroler ESP32 yang dapat menyesuaikan metode pengeringan sesuai kondisi cuaca. Sistem ini dilengkapi dengan sensor BH1750 untuk mendeteksi intensitas cahaya, sensor hujan untuk mendeteksi keberadaan air hujan, dan sensor DHT22 untuk memantau suhu serta kelembapan di dalam kotak pengering. Selain itu, sensor load cell digunakan untuk mengukur berat kulit sapi secara berkala hingga mencapai tingkat kekeringan yang diinginkan. Sistem dirancang untuk melakukan pengeringan menggunakan sinar matahari pada kondisi cuaca cerah, dan beralih ke metode pengeringan dengan heater ketika cuaca buruk. Pengendalian suhu dan kelembapan pada mode pengeringan dengan heater dilakukan menggunakan logika fuzzy untuk mengatur kipas dan heater secara efisien. Notifikasi real-time mengenai kondisi kulit sapi, suhu, kelembapan, dan beratnya dikirimkan kepada pengguna melalui bot Telegram. Hasil pengujian menunjukkan bahwa sistem ini dapat beroperasi secara otomatis sesuai dengan kondisi lingkungan, meminimalkan konsumsi energi, serta meningkatkan efisiensi dan efektivitas proses pengeringan.
Audio-Based Assistive Device for Boxed Product Detection for The Visually Impaired Yoni, Muhammad Dzaky; Yendri, Dodon
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.6.01.68-75.2025

Abstract

Visually impaired individuals face challenges in recognizing and distinguishing boxed products, which are typically identified visually. This study aims to develop an audiobased assistive system for detecting boxed product packaging to enhance the independence of visually impaired individuals. The system utilizes the Single Shot Multibox Detector (SSD) MobileNetV2 algorithm for object detection and classification, with the Raspberry Pi 4 Model B as the main microcontroller and the Raspberry Pi Camera OV5647 for image capture. The HC-SR04 ultrasonic sensor is used to measure the distance of objects from the user, while the output information is provided through wireless earphones in the form of audio. Experimental results show that the system can detect and classify boxed products with an accuracy of 95%, precision of 96.8%, recall of 98%, and an F1-Score of 97.4%. This system provides real-time audio feedback, assisting visually impaired individuals in identifying products without the need for tactile exploration.
A Door Lock Security System with Remote Keyless Feature Using The Puf Approach Method Ramadhan, Muhamad Noveri; Yendri, Dodon
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.6.02.103-116.2025

Abstract

Home security systems are now increasingly important to provide peace and comfort, Especially if the occupants often leave the house. As the main access point, the door is an important thing to pay attention to in maintaining home security. Smart door locks offer better security features compared to traditional mechanical lock. However, technology that relies on smartphones or PINs has vulnerability to attacks such as brute force and various digital security threats. Besides that, The limitations of human memory pose challenges in maintaining security. This research develops a door security system with remote keyless feature using the Physical Unclonable Function (PUF) approach and Bluetooth connectivity as a communication system. The system uses RSSI values to provide remote control and reminders, ensuring automatic locking at a certain distance. Test results show that this system effectively providing unique security and convenience for users. The use of servo motor ensures precision in locking, while the ESP32 is used for communication and generates a unique PUF values, making the system more secure and resistant to duplication.
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 Keamanan Helm dan Berkendara Berbasis Mikrokontroler Demita, Syukurillah Paradiqma; Yendri, Dodon; Suwandi, Rifki
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.5.01.20-34.2024

Abstract

As a two-wheeled vehicle user, a problem that often occurs in the community is the loss of helmets when placed in the parking lot. This can happen due to lack of attention from security personnel at the parking location. Riders who do not use helmets can endanger themselves in the event of an accident. In addition to the use of helmets, speed in driving is one factor that needs to be considered because it has the potential to endanger yourself or others. This study aims to anticipate the occurrence of helmet theft and also provide safety in driving using survey research methods to determine the percentage of ease of use by users. Where the system designed consists of 4 functions, namely, detection of helmet location using the MQTT protocol where if the helmet position with the vehicle has a large distance of 40m then the helmet is detected to have been stolen so that it will issue a warning in the form of sound. The second system is vehicle speed detection using anemometer sensors, if the vehicle is detected to have a large speed of 50km / h then the helmet will issue a sound warning so that the driver can reduce driving speed. The third system is face detection around the helmet using ESP32-Cam, where if the helmet detects an unknown face through the face recognition feature with a distance of 15cm to 60cm from the helmet, the ESP32-Cam will take pictures. The last system is taking pictures periodically to find out the situation around the helmet. Based on research using a questionnaire with 30 samplers, a percentage of 74.95% was obtained, which means that the helmet is easy to use.