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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Nasional Teknologi Komputer International Journal of Computer Technology and Science International Journal of Information Engineering and Science Journal of Engineering, Electrical and Informatics
Satria Wira Yudha
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN MENU MAKANAN SEHAT MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING wulandari, syafitri; Satria Wira Yudha
Jurnal Nasional Teknologi Komputer Vol 1 No 1 (2021): Volume 1 Nomor 1 Oktober 2021
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.902 KB) | DOI: 10.61306/jnastek.v1i1.6

Abstract

Food is one of the important elements that affect health. Eating healthy foods will have a positive impact on the body, one of which can avoid various health problems. People's incomprehension about healthy food menus resulted in the decision-making process of choosing healthy food menus rarely noticed. Decision Support System (SPK) can help the community in making decisions, so they do not feel hesitant in choosing a menu, and the information is also more accurate. In the process of data processing, this system uses the Simple Additive Weighting (SAW) method. The SAW method is used to determine the exact healthy food menu based on the criteria and weights that have been determined. The decision support system to determine healthy food menus using the Simple Additive Weighting (SAW) method helps the community in determining a good food menu by providing healthy food recommendations for the community in the form of food rankings based on predetermined weights.
Implementasi Pengembangan Media Interaktif Berbasis Website Canva untuk Meningkatkan Minat Belajar Murid TK Go Ceria Cipayung Dessyanti Ryantina; Rodhiyah; Eva Widiyanti; Wealty Sweet Charollyn Pasaribu; Satria Wira Yudha
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3827

Abstract

This study aims to develop and test the effectiveness of Canva-based interactive learning media in increasing the learning interest of Go Ceria Cipayung Kindergarten students. The research method used is a qualitative approach with observation and interview techniques. The interactive media developed is in the form of a website that integrates animation features, interactive quizzes, and design elements that are appropriate for the age of kindergarten children. Evaluation was conducted through pre-test and post-test using learning interest scale. The results showed an increase in interest in learning, with 8 out of 10 children successfully completing the test with high scores based on observations and interviews with teachers. The findings indicate that utilizing Canva in early childhood learning can be an innovative solution to increase children's learning engagement and motivation.
Design of An Internet of Things-Based Temperature And Light Monitoring System In The Classroom of SDN Bojong 02 Mesra Betty Yel; Satria Wira Yudha; Nandang Sutisna; Muhammad Rafli Fadillah
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.319

Abstract

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.
Satisfaction Level Analysis QRIS Users Based on Experience and Perception Twitter Users/X Using Naive Baiyes Veri Arinal; Satria Wira Yudha; Muhammad Joko Umbaran Kharis Bahrudin; Dessyanti Ryantina
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.53

Abstract

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.
Effectiveness of Face Recognition-Based Security System on CCTV with Raspberry Pi and Esp32-Cam Using Face Recognition Method Frencis Matheos Sarimole; Satria Wira Yudha; Sutisna Sutisna; Ahas Eko Septianto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.205

Abstract

Current technological advances, such as the internet of things (IOT), have a very broad scope. Especially in the security sector. The fact is that there are many robots that have been made by humans to do jobs that can help humans beyond their abilities. CCTV is very important to protect the house from various types of threats, such as burglary and other hazards. However, a security system that only uses CCTV cameras is no longer secure enough because someone is needed to monitor activities in the CCTV area for 24 hours. As for CCTV that provides facial recognition features, the price is arguably quite expensive. Therefore, we need home security with a more modern, affordable, and effective version of CCTV that utilizes the technology that has been developed to date. In this context, I propose a prototype of a sophisticated, low-cost, Raspberry-PI-based home security system that is integrated with a mobile real-time application. This intelligent robot can monitor the surrounding area by detecting people who are within the range of the camera. notification if a stranger enters the area and is not recognized by the robot to a mobile application that can be installed. The author uses Raspberry Pi hardware as the main control center, OpenCV to perform motion detection and facial recognition, a webserver to make it easier for users to access data and control the system remotely, mobile applications as notification recipients, and real-time monitoring of CCTV. In the tests carried out, the developed IOT-based security system has succeeded in detecting motion and facial recognition with good accuracy and is able to send notifications to smart phones in a short time when suspicious events occur in the house. Thus, this IOT-based home security system can help improve security and comfort by integrating technology and providing more effective and efficient solutions for protecting homes and buildings from various types of threats
Co-Authors Ahas Eko Septianto Arinal, Veri Betty Yel, Mesra Dessyanti Ryantina Eva Widiyanti Muhammad Joko Umbaran Kharis Bahrudin Muhammad Rafli Fadillah Nandang Sutisna Rodhiyah Sarimole, Frencis Matheos Sutisna Sutisna Wealty Sweet Charollyn Pasaribu Wulandari, Syafitri