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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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Implementasi Machine Learning untuk Pengenalan Penggunaan Makeup Wulandari, Fetricia; Ferdian, Rian
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.6.01.38-47.2025

Abstract

Learning makeup can be challenging, especially for beginners who need to understand face shapes, color gradients, and composition. This study presents a machine learning-based system designed to recognize face shapes and recommend makeup styles. Key features include video tutorials tailored to the user’s face shape and LED indicators that show the products to use, allowing users to practice accurate makeup techniques. The system is powered by a Raspberry Pi 4 Model B, with a webcam for capturing facial images. It uses the Haar Cascade algorithm for face detection and a Support Vector Machine (SVM) classifier to categorize faces into three main shapes: round, oval, and square. Additionally, the system offers two makeup styles: flawless and bold, making it accessible and versatile. Testing results show that the system accurately detects and classifies face shapes, providing recommendations that simplify makeup learning. Beginners can follow step-by-step tutorials and use the system’s interactive features to learn essential techniques, reducing the risk of mistakes. Overall, this study offers an innovative solution for those learning makeup, with potential for further development to support additional face shapes and makeup styles. The use of machine learning enhances the user experience, providing guidance that combines ease of learning with professional-level results.
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.
Rancang Bangun Sistem Kontrol Suhu dan Kelembapan pada Tempat Penyimpanan Gabah berbasis Android menggunakan Logika Fuzzy: Indonesia Pratama, Haritsah Yudha; Yolanda, Desta
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.6.01.55-67.2025

Abstract

Gabah adalah hasil tanaman padi yang telah dipisahkan dari tangkainya dengan cara perontokan. Kualitas dari gabah dapat diukur dari kadar air, warna, dan berat dari gabah sehingga proses pengeringan dan penyimpanan menjadi perhatian utama untuk menghasilkan gabah dengan nilai jual tinggi. Penelitian ini bertujuan untuk mengembangkan sistem yang mampu membantu dalam proses pengeringan dan penyimpanan gabah dengan menggunakan ESP32, Sensor DHT22 aplikasi Android, dan pengontrolan dengan menggunakan logika fuzzy. Sistem ini terdiri mode pengeringan (drying) dan mode penyimpanan (storage) yang dikendalikan dengan aplikasi Android. Pada mode drying sistem akan membantu dalam proses pengeringan gabah. Lalu pada mode storage, sistem menerapkan perhitungan fuzzy untuk mengendalikan keluaran tegangan ke heater dan kipas berdasarkan suhu dan kelembapan yang dibaca oleh sensor. Hasil pembacaan sensor, lama penyimpanan, perhitungan dari logika fuzzy ini nantinya juga akan ditampilkan pada aplikasi Android yang bernama Contrapp.
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.
Design of a Biometric-Based Laboratory Access System with Real-Time Monitoring via a Mobile Application Yunita, Try Diana; Hadelina, Rizka
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.6.01.86-93.2025

Abstract

Robotic and Embedded System Laboratory di Universitas Andalas berperan penting dalam mendukung proyek mahasiswa Teknik Komputer, namun manajemen akses laboratorium menjadi tantangan karena keterbatasan jumlah kunci dan akses ke ruangan asisten kurang terkendali. Masalah ini menyebabkan risiko kehilangan atau kerusakan peralatan penting. Penelitian ini bertujuan untuk merancang sistem yang meningkatkan keamanan dan memantau akses ke laboratorium. Dua sistem monitoring dirancang: pertama, pintu laboratorium menggunakan sensor sidik jari untuk autentikasi yang membuka kunci solenoid selama 5 detik; kedua, akses ruang asisten menggunakan sensor PIR untuk deteksi pengguna dan sensor sidik jari untuk autentikasi. Jika ada akses tidak sah, sistem akan mengaktifkan buzzer dan mengirimkan notifikasi ke aplikasi. Pengujian mencakup waktu respon sensor sidik jari, waktu respon alat, jarak deteksi PIR, kualitas suara buzzer, validasi data di Firebase, dan kontrol alat dari aplikasi. Hasilnya menunjukkan bahwa sistem dapat membaca sidik jari valid dalam waktu kurang dari 1 detik dan andal dalam berbagai kondisi sidik jari. Sistem juga mampu mendeteksi objek pada jarak 0 hingga 2 meter, memberikan peringatan suara 101 dB dengan stabilitas baik, serta mengirim dan menyimpan data dengan benar ke database dengan rata-rata delay 2,43 detik. Sistem ini juga dapat mengontrol kunci pintu laboratorium melalui aplikasi selama ada koneksi internet.
Design of Hand Sanitizing Device with Mist Spray Based On Microcontroller Kusuma Afdhal, Thirafi Hadi; Puteri Novani, Nefy
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.6.01.94-102.2025

Abstract

The importance of hand washing habits as part of a healthy lifestyle is one of the basic hygiene practices that are effective in preventing the spread of disease and infection. In this study, the design and implementation of a hand sanitizer using a microcontroller-based disinfectant mist has been developed. The design of this system can be a solution to saving water when washing hands and increasing hand washing habits with the availability of this tool in public places. This tool uses a Passive Infrared (PIR) sensor to detect the presence of hands, then the mist maker will be active to produce mist from the sterilization fluid. The results obtained in this study indicate that the tool can detect hand movements with a range of 45˚ to 135˚. The mist maker produces mist at a rate of 183.323 ml/hour with a sterilization process of 15 seconds and converts 4.56 ml of liquid into mist when this tool is used. This tool is effective and efficient for use in public places.
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.
The Microcontroller Based Earthquake Detection and Magnitude Measuring (Richter Scale) System for Risk Mitigation Bakti, Ilham Dwi; Ferdian, Rian
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.6.02.135-150.2025

Abstract

Earthquakes are unpredictable disasters that can cause immediate structural collapse, posing significant risks, especially when occurring at night or early morning when people are asleep and slower to react. To mitigate these risks, this research aims to design a microcontroller- based system for detecting earthquakes and measuring their magnitude using Richter scale. The system employs an SW420 sensor to detect tremors and an ADXL345 accelerometer to detect and measure acceleration of eartquakes, which is then converted into magnitude using formula. The system is equipped with an alarm that activates if magnitude exceeds 5.0 SR and PIR HC-SR501 sensor to detect the user’s presence. Additionally, it can activate a 5-watt emergency light and use a GSM SIM800L module to send SMS notifications and make calls to the User’s nearest contacts in the event of a significant earthquake. The research methodology involves Action Research, which includes reflection, action, and continuous adjustment. The findings indicate that system can detect vibrations up to 60 cm away and measure earthquake magnitudes starting from 1.0 SR. The alarm successfully activates for magnitudes greater than 5.0 SR, and system can detect the user’s existence presence up to 250 cm in both dark and light conditions. Furthermore, system effectively activates the emergency light and send SMS notification and nall if the magnitude exceeds 5.0 SR. This research confirms that the system performs as intended, helping to mitigate earthquake risks and providing crucial information to user.
Condition Monitoring System and Automatic Air Cleaning in the Toilet of Firebase-Based Andalas University Lecture Building Multri Okta Ilham, Randa; Hadelina, Rizka; Hersyah, Mohammad Hafiz; Arief, Lathifah
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.6.02.117-123.2025

Abstract

Maintaining the cleanliness and comfort of toilets in lecture buildings is very important for the quality of the campus environment. This study develops a Firebase-based Automatic Air Condition Monitoring and Cleaning System in the restrooms of Andalas University lecture halls. The main problem identified is the lack of direct monitoring, which leads to the appearance of unpleasant odors and potential health problems. A survey showed that 64.8% of respondents sometimes felt unpleasant odors, while 59.3% indicated a lack of adequate air circulation.To solve this problem, the designed system is able to detect and monitor toilet conditions in real-time through gas measurements such as ammonia, hydrogen sulfide, and carbon monoxide using MQ-135, MQ-136, and MQ-7 sensors, the results of which can be monitored through a website. The system not only monitors, but also controls air quality by turning on the exhaust fan when the gas level exceeds a certain. Tests show that the system is accurate in detecting gas, with sensor precision above 90% and an average data transmission time of 1.74 seconds. However, the humidity measurement showed an error rate of 32.36%. The system effectively improves the hygiene monitoring of restrooms, thereby improving comfort and health on campus

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