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All Journal Dinasti International Journal of Education Management and Social Science Journal of Computer System and Informatics (JoSYC) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Information Systems and Technology Research
Ramadhan Nasution, Yusuf
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Currency Nominal Detection With Tempalate Matching Method To Help Turnanetra Wulandari, Yana; Ramadhan Nasution, Yusuf
Dinasti International Journal of Education Management And Social Science Vol. 5 No. 6 (2024): Dinasti International Journal of Education Management and Social Science (Augus
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v5i6.3157

Abstract

This research aims to design and implement a currency nominal detection system using the template matching method, how accurate and effective the template matching method is in detecting currency nominal from various lighting conditions and viewpoints and how to detect currency nominal through web-based applications. This research uses descriptive quantitative research with the R&D (Research and Development) approach method. Data collection methods in this research are literature study and observation. The system development method in this research is planning, data collection, needs analysis, system design and system testing. The results showed that the way the application works is that users can use a laptop camera or directly select an image of Rupiah money to detect its nominal value. The application of currency nominal detection with the template matching method to help the visually impaired in this study was built using Visual Studio Code software using the Python programming language. User interface is the appearance of the programme that can be seen, heard or perceived by the user and the commands or mechanisms used by the user to control operations and enter data. It can be concluded that an application has been produced that is built using Visual Studio Code software with the Python programming language to be used in the nominal detection process of rupiah currency banknotes using the template matching method effectively and accurately used and the nominal detection process of rupiah currency banknotes can be done through a webcam or by selecting images of money contained in laptop storage.  
Design and Implementation of a Dual-Cloud IoT Air Quality Monitoring System Using Fuzzy Mamdani Method Qodri Ramadani, Fiqih; Ramadhan Nasution, Yusuf
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1326

Abstract

Air pollution continues to be a critical environmental issue that negatively impacts human health, ecosystems, and urban sustainability. Therefore, reliable air quality monitoring systems are urgently required to provide real-time and accurate information for both communities and decision-makers. This study presents the design and implementation of an Internet of Things (IoT)-based air quality monitoring system that integrates environmental sensors with an ESP32 microcontroller. A key novelty of this research is the adoption of a dual-cloud architecture, combining ThingSpeak and Blynk, to enhance data accessibility, visualization, and system reliability compared to conventional single-cloud approaches. The Fuzzy Mamdani method is applied to classify air quality levels into three categories: Good, Moderate, and Poor, using input variables of temperature, humidity, and gas concentration. Methodologically, the system was tested under multiple environmental conditions, and fuzzy membership functions and rules were carefully designed to reflect realistic thresholds. The results show that the dual-cloud system enables more robust and flexible monitoring, with faster data synchronization and higher reliability in remote visualization. Quantitatively, the system achieved a 92% expert validation score and demonstrated a 15% improvement in responsiveness compared to previous single-cloud implementations reported in the literature. The discussion highlights that dual-cloud visualization provides an effective solution to overcome downtime risks and single-point failures, while also improving user experience in accessing real-time air quality information. This research contributes to the growing body of work on IoT-based environmental monitoring and can serve as a foundation for future smart city applications.
Implementasi Data Mining dengan K-Means Clustering untuk Memprediksi Pengadaan Obat Pane, Putri Pratiwi; Ramadhan Nasution, Yusuf; Furqan, Mhd.
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4920

Abstract

Community Health Center is one of the institutions that provides healthcare services. To ensure the provision of quality healthcare services, the Community Health Center management must be able to effectively manage medicine inventory to avoid the risks of shortages or excess stock. Therefore, the purpose of this research is to observe and perform clustering of medicine demands at Puskesmas Mandala using the K-Means Clustering technique. The data used includes medicine demand data from January to December 2023 at the health center. In its implementation, the RapidMiner application or software is utilized to perform clustering using the K-Means Clustering algorithm. The available medicine data will be grouped into 3 clusters: cluster 0 for high medicine demands, cluster 1 for moderate medicine demands, and cluster 2 for low medicine demands. Out of the 28 test data used, the results show the first cluster consisting of 24 items, the second cluster consisting of 3 items, and the third cluster consisting of 1 item with a Davies Bouldin Index value of 0.276. From this research, the Puskesmas can continue to procure medicine for the types classified under high-demand clusters to ensure that the medicine needs are consistently met.
Penerapan Algoritma C4.5 Pada Klasifikasi Status Gizi Balita Ramadhan Nasution, Yusuf; Armansyah; Furqan, Mhd; Matondang, Toibatur Rahma
JURNAL FASILKOM Vol. 14 No. 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6941

Abstract

The study aims to classify the nutritional status of the child using the C4.5 algorithm. The secondary data used is derived from the assessment of the nutrition status of a child in Puskesmas Promji and Puksesmas Suka Makmur. A classification model is constructed using the C4.5 algorithm based on a number of predictor factors that have been determined. The research methodology includes data collection, data preprocessing, model development with C4.5 algorithms, model evaluation, and results analysis. Model evaluation is done using measurements such as accuracy. In addition, the significance of predictor variables in affecting the nutritional status of infants was also evaluated through data analysis. This research contributed to the development of a method of classifying the nutritional status of infants using the C4.5 algorithm approach. The implication of this study is that the classification model developed can be used as a tool to support early identification and intervention against nutritional problems in infants. Furthermore, based on testing using the confusion matrix technique with the 80:20 data division of a total of 502 datasets, consisting of 402 training data and 100 testing data, an accuracy rate of 80 percent was obtained.
Co-Authors Armansyah Matondang, Toibatur Rahma Mhd Furqan Pane, Putri Pratiwi Qodri Ramadani, Fiqih Wulandari, Yana