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All Journal Journal of Information Technology and Computer Engineering The Indonesian Journal of Computer Science
Kasoep, Werman
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Rancang Bangun Mobile Robot Micromouse Untuk Pencarian Rute Terpendek Menggunakan Algoritma Flood Fill Kasoep, Werman
JITCE (Journal of Information Technology and Computer Engineering) Vol. 1 No. 01 (2017)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.1.01.8-16.2017

Abstract

Mobile Robot is one robot that much used to help out man. Micromouse mobile robot is one robot that made to can find the route shortest in a maze. Flood fill algorithm is one way to find the route shortest by doing maze mapping, where the robot will compare the value of each cell and moving toward the smallest cell. In the research, the micromouse mobile robot was designed using Ultrasonic PING sensor to detect obstacles and Arduino Uno that will control the movement of DC motor. The robot will search a route shortest based on maze mapping that it has passed. The robot was tested on three mazes, where each maze was tested 10 times and obtained success level on the first maze of 80%, the second maze of 70% and the third maze of 70%.
Sistem Pengatur Irigasi Sawah Menggunakan Metode Irigasi Alternate Wetting and Drying Berbasis Teknologi Internet of Things Husna, Tisnainil; Ichwana, Dody; Kasoep, Werman
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 02 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.02.92-100.2018

Abstract

Rice is the staple food of the majority of Indonesians and most of the population work as farmers. However, the amount of rice produced are still insufficient. To meet the rice needs for the society, it should increase the amount of rice production by focusing on rice field quality such as the water level rice fields. In this study a prototype rice field irrigation system is designed using AWD irrigation method by regulating open activation and closing the inlet gate and exit gate based on the age of paddy which are calculated using RTC and the height of paddy water measured using ultrasonic sensors. The system also designed to receive input from the age of paddy and deactivate the system from the mobile application through the ESP8266 module. Test results from this system can measure water level with accuracy of 95.68% and read real-time time with 98.67% accuracy. The servo motor NFC DS04 works to open the door with a duration of 60 seconds and closes the door with a duration of 56 seconds. The paddy irrigation regulating system can regulate the water level with a success percentage of 81.48%. The system can receive input and deactivate the system with a percentage of success of 70%.
Motorcycle Parking Security System based on Website and QR Code Technology Yuni, Riva Andra; Kasoep, Werman; Yolanda, Desta
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.73-82.2023

Abstract

The increase in motorcycle theft cases has become a serious concern. This research aims to design a motorcycle parking security system through a website in response to this challenge. The system uses a website accessible via smartphones using QR code. Users scan the provided QR code to access the website, where they will be prompted to enter a password that functions as a controller for the locking and unlocking process of the motorcycle's front wheel using a servo motor. Furthermore, to detect forced removal attempts, the system is equipped with an alarm that notifies the parking attendant. This alarm will be activated if vibrations above 20 cm/s2 are detected and will be accompanied by a buzzer sound as a danger signal. Based on the results of the study, this system can work well and produce the appropriate output as previously designed with a success percentage of 91% and the servo motor as a motorcycle safety device can work to lock the front tire of a motorcycle that has a tire tread width of 90 mm according to with what was previously defined
Alat Koreksi dan Rekontruksi Tulisan pada Dokumen Lama Bahasa Indonesia Berbasis Mini PC Suwandi, Rifki; Kasoep, Werman; Destria, Ramon Luthvi
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 01 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.34-39.2023

Abstract

In the digital era, preserving old documents to prevent damage is a significant challenge. One solution to this problem is to reconstruct damaged or lost documents using image processing and natural language processing technologies. This article discusses the design of a tool for correcting and reconstructing writing in old papers and documents that can be implemented on a mini PC. The tool uses state-of-the-art algorithms such as Convolutional Neural Network (CNN) for character recognition and Optical Character Recognition (OCR), as well as Image Inpainting and Sequence-to-Sequence (Seq2Seq) algorithms for document reconstruction. Test results show that this tool can recognize characters with high accuracy and reconstruct damaged or lost documents effectively.
Portable Cough Classification System Based on Sound Feature Extraction Using Tiny Machine Learning Arief, Lathifah; Risky, Mutiah; Derisma; Kasoep, Werman; Puteri, Nefy
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3001

Abstract

Cough is one of the most common markers that can provide information in diagnosing a disease. More specifically, cough is a common symptom of many respiratory infections. There are several types of cough, including: dry cough, wet cough (cough with phlegm), croup cough and whooping cough. This study aims to create a system that can classify the sounds of coughing up phlegm, dry cough, whooping cough and croup cough. The system development uses the concept of tiny machine learning. In the system built, Arduino Nano 33 BLE Sense is used as a control device and LED is used as an output device. In this study, the classification of dry cough, wet cough, croup cough and whooping cough was performed using the MFCC voice feature extraction. In the process of classifying coughing sounds using the Neural Network Classifier, the system has a percentage of dataset training accuracy from a total of 5 classes (croup, dry, noise, wet, whooping) of 97.1% by applying an epoch value of 500, window size 3000ms and a window increase of 500ms.
Co-Authors Derisma Destria, Ramon Luthvi Dody Ichwana Putra Husna, Tisnainil Lathifah Arief, Lathifah Puteri, Nefy Rifki Suwandi, Rifki Risky, Mutiah Yolanda, Desta Yuni, Riva Andra