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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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Sistem Pemandian dan Pembersihan Sangkar Burung Murai Batu Otomatis Berbasis Internet Of Things Savitri, Valiyana; Puteri Novani, Nefy
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.5.02.132-144.2024

Abstract

This study designs an automated bathing and cage cleaning system for Murai Batu birds based on the Internet of Things (IoT) using the NodeMCU ESP32 microcontroller. The system integrates a turbidity sensor to monitor water clarity, an ultrasonic sensor to measure water level, and a load cell sensor to detect waste weight. Additionally, a PIR sensor is used to detect the bird's presence, while a stepper motor and relay are employed to automate the opening and closing of the door. Cage cleaning is performed by operating a belt conveyor driven by a DC motor, and water replacement is conducted using a water pump. All components are controlled by the NodeMCU ESP32, with monitoring facilitated through the Telegram application. The implementation results demonstrate that the system is effective, achieving sensor accuracies of 95.4%, 97.7%, and 97.36%, respectively, and providing convenience for bird owners in managing and monitoring the system remotely.
Marathi Speech Emotion recognition using Deep Learning techniques. Ketkar, Akhilesh; Mishra, Divyansh; Nirmal, Madhur; Mulla, Faizan; Narawade, Vaibhav
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.5.01.1-4.2024

Abstract

In the project, an emotion recognition system from speech is proposed using deep learning. The goal of this project is to classify a speech signal into one of the five emotions listed below: anger, boredom, fear, happiness, and sadness. Snippets below from numerous Marathi movies and TV shows were used to construct the dataset for Marathi language samples which include 20 audio samples for anger, 19 for boredom, 5 for fear, and 11 for happiness. The proposed system first processes a speech signal from the time domain to the frequency domain using Discrete Time Fourier Transform (DTFT). Then, data augmentation is performed which includes noise injection, stretching, shifting, and pitch scaling of the speech signal. Next, feature extraction is performed in which 5 features were selected, which include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate (ZCR), Chroma STFT, Mel Spectrogram, and Root mean square value. These features were then fed to a Convolutional Neural Network (CNN). The efficiency of the suggested system employing the CNNs is supported by experimental findings. This model’s accuracy on the test data is 80.33%, and its f1 values for anger, boredom, fear, happiness, and sadness are 0.85, 0.83, 0.50, 0.62, and 0.84, respectively.
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.
Kendali Navigasi Senjata Water Gel Blaster Laras Panjang Berbasis Mini PC Wira Clara, Jaka; Ferdian, Rian
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.5.01.11-19.2024

Abstract

Penelitian ini bertujuan untuk membuat sistem kendali navigasi senjata ayang akan dikontrol melalui webserver yang terhubung ke alat didalam satu jaringan yang sama, dengan adanya perkembangan dari hiburan video game First Person Shooter dan juga senjata untuk dapat meneliti dalam perkembangan senjata. Jadi dari hal tersebut, penulis ingin membuat sistem yang dapat menambah pengaplikasian dari perkembangan tersebut. menggunakan Single Board Computer yang akan terkoneksi antar komponen mulai dari Motor Stepper, Motor Servo, Camera dan Sensor Kompas. alat akan bekerja dengan sistem kontrol remote control untuk menggerakan alat mengarah vertikal danhorizonta
PERANCANGAN SISTEM UNTUK MENINGKATKAN KUALITAS AIR MENGGUNAKAN SENSOR TURBIDITY DAN SENSOR PH BERBASIS INTERNET OF THINGS (IOT) Akbar, Fauzi; Erlina, Tati; Hadelina, Rizka
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.5.01.5-10.2024

Abstract

Air bersih merupakan kebutuhan pokok dalam kehidupan manusia sehari-hari, Akan tetapi tidak semua orang dapat mendapatkan air bersih. Di Indonesia masih banyak terdapat daerah yang kesulitan mendapatkan air bersih. Menurut [1], terdapat sekitar 6% luas daerah di Indonesia yang mengalami krisis air bersih pada tahun 2000, dimana jumlah ini diprediksi akan terus meningkat menjadi 9,6% di tahun 2045. Berdasarkan data ini setidaknya terdapat peningkatan daerah kritis air bersih sebanyak 0,08% setiap tahunnya. syarat agar air memenuhi standar baku mutu kesehatan adalah memiliki tingkat kekeruhan dengan nilai skala kekeruhan maksimal 25 NTU (Nephelometric Turbidity Unit) serta tingkat pH air berada pada angka 6,5-8,5. Karena hal tersebut diperlukan sistem yang dapat menjernihkan air secara otomatis dengan memberikan tawas sesuai dengan takaran yang tepat, dan juga user dapat mendapatkan notifikasi terkait kondisi air pada jarak jauh. Pada sistem untuk meningkatkan kualitas air ini maka sensor turbidity akan digunakan untuk mengukur tingkat kekeruhan yang dimiliki air dan sensor pH akan digunakan unutk mengukur tingkat pH dari air. Berdasarkan hasil dari kedua sensor ini cairan tawas akan diberikan untuk menjernihkan air dan cairan pH up/pH down diberikan untuk mengatur tingkatan pH air agar sesuai dengan standar baku kesehatan.
Sistem Pemberian Pakan Hamster Otomatis berbasis Mikrokontroler Nurul Aulia, Farah; Aisuwarya, Ratna
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.5.01.35-39.2024

Abstract

This research aims to create an automatic hamster feeder system at night following the nocturnal nature of hamsters. The system will be given a command in the form of a message via the Telegram messaging application to fill the hamster's weight which will be calculated as a calculation of the hamster's daily feed portion. The nature of hamsters which are generally nocturnal, in contrast to humans who usually rest at night, makes it difficult for humans to feed their hamsters at night regularly. The daily portion of hamster food is around 0.11 times the hamster's body weight and this provision must be appropriate not to cause obesity in the hamster. Based on these circumstances, this research is proposed as a solution to this problem. After filling the hamster's weight information, the system will calculate the hamster's daily food weight and when the sensor catches that the hamster approaching the system, the system will immediately open the servo motor to pour the hamster food.
Sistem Pendeteksi Ketersediaan Tempat Duduk pada Perpustakaan berbasis Computer Vision: Studi Kasus : Perpustakaan Unand Ruangan The Gade Creative Lounge Khairunissa, Natasha; Suwandi, Rifki
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.6.01.76-85.2025

Abstract

Libraries as information centers often face challenges in seating management, especially when visitor numbers are high. This can cause difficulties for new patrons in finding empty seats, as well as disrupting other patrons' activities. Existing solutions, such as reservation systems and sensors, are often less effective and face accuracy issues. This research proposes a computer vision-based empty seat detection system to improve space efficiency. Using Roboflow 3.0 object detection model trained on Roboflow GPU and implemented on Raspberry Pi 4B with webcam, this system detects and displays empty seats through website with room mapping. The model demonstrated performance with Mean Average Precision (mAP) 68.4%, Precision 70.4%, and Recall 68.7%, showing effectiveness in detection although there is still potential for accuracy improvement.
Diabetes Mellitus Detection System In Human Body Through Urine Media Using Naïve Bayes Method Kasmien Adha, Yuda; Erlina, Tati
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.6.01.13-17.2025

Abstract

In Indonesian the level of diabetes mellitus in the community is very high but public awareness is very low due to many of the people WHO are phobic about blood and needles. From the above problems obtained an alternative solution by using urine as a medium to detect diabetes mellitus in a person. The tool made consists of TCS3200 color sensor, MQ-135 gas sensor, Arduino Uno microcontroller, and 16x2 LCD. The system is made using the NaÏve Bayes algorithm to be able to classify urine that has been tested Benedict including into non-diabetes or diabetes, the system is also made using multiple linear regression algorithms to be able to predict the sugar content contained in urine. In this system, the TCS3200 color sensor as an RGB color code reader and the MQ-135 gas sensor as a reading of ammonia gas levels in urine. This system can provide information about the status of urine and how much sugar levels in the body.
Animal Protection System Cats and Dogs Approaching The Substance With The Mini Computer Aulia Ramadhani, Shafira; Anandika, Arrya; Syahputra, Ronaldo; Purbolingga, Yoan
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.6.01.18-29.2025

Abstract

Litter bins that do not have lids, as well as the time span of garbage collection, especially when garbage is accumulating, can attract animals to enter the bin, some of the animal patterns are to carry garbage out of the bin, so that it can be consumed by dogs/cats. The purpose of this problem is to help the community in preventing and minimizing animals that litter and prevent the spread of diseases in animals due to consuming garbage, for example diseases caused by bacteria from garbage, namely rabies. This final project results in the detection of cats and dogs using YOLO with 90% accuracy, when a cat or dog is detected the system will issue an output so that the animal does not get closer and out of the trash, the output will continue to be issued until the animal is no longer detected by the camera.
Automatic Impedance Double-Stub Tuner for High-Power S-Band Microwave Networks Kommey, Benjamin; Addo, Ernest Ofosu; Tamakloe, Elvis
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.6.01.1-12.2025

Abstract

This paper presents the development of an impedance tuner realized in the WR-340 waveguide for use in S-band networks (2.45 GHz ISM band). The tuner is a double-stub structure designed to be adjoined to a reflectometer and performs automatic impedance matching using the reflectometer’s measurements through a closed-loop feedback mechanism. The device is designed to work under the full operating conditions of high-power microwave generators. Simulations and preliminary measurements show that the impedance tuner performance is stable and temperature independent. The system is suited for on-line monitoring and control of network parameters in industrial waveguide applications

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