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Enhance Control Mobile Compiuting Improvement in Quality Data Acquisition in Simulation Efendi, Syahril; Aryza, Solly; Mardiansyah, Heru; Ahmadi, Fauzan Nur; Khowarizmi, Al-
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3335

Abstract

This research is a research and development (R&D) process with software design and testing using the v-model software development life cycle (SDLC) method, consisting of stages: (1) requirements modeling, (2) architectural design, (3) component design, (4) code generation, (5) unit testing, (6) integration testing, (7) system testing, (8) acceptance testing. Unit testing method using a white-box technique with base-path test, flowgraph, independent path on "DigiChip" software. Testing integration, system, acceptance with black-box techniques. The functional suitability aspect was tested with a feature run test questionnaire and a test case. The maintainability aspect is tested by measuring maintainability index (MI), duplication source code, line of code (LoC), cyclomatic complexity (CC). The portability aspect is tested by installing on various hardware configurations, various versions of the Android OS kernel. The material and media test used a material expert and media expert questionnaire. The usability aspect was tested using the USE Questionnaire and the calculation of Cronbach's Alpha through SPSS. This paper describes the main advantages of this DAS module which is that it can be manufactured at a very affordable price and provides good performance as is commonly used in industrial control systems. In motor control systems, alternative data acquisition system (DAS) modules can use the LabVIEW interface. The DAS module is controlled by the ATmega64 AVR micro controller which will communicate in both directions with LabVIEW using the serial communication method. Which is used to obtain 8-bit digital input, 8-bit digital output, 8 analog input channels, and also 2 analog output channels. Digital inputs can be used for 0-5V and 0-24V voltages. The digital output is made open collector with a "low" voltage of 0.276V. For analog inputs and analog outputs, this system has an average error of 14.47mV for the input range of 1-5V; 72.34mV for the 0-10V input range; 0.037mA for 4-20mA input range, and 16.2mV for 0-10V output range. This system is not designed for use in applications that require real-time accuracy and fast accuracy.
The role of Louvain-coloring clustering in the detection of fraud transactions Mardiansyah, Heru; Suwilo, Saib; Nababan, Erna Budhiarti; Efendi, Syahril
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp608-616

Abstract

Clustering is a technique in data mining capable of grouping very large amounts of data to gain new knowledge based on unsupervised learning. Clustering is capable of grouping various types of data and fields. The process that requires this technique is in the business sector, especially banking. In the transaction business process in banking, fraud is often encountered in transactions. This raises interest in clustering data fraud in transactions. An algorithm is needed in the cluster, namely Louvain’s algorithm. Louvain’s algorithm is capable of clustering in large numbers, which represent them in a graph. So, the Louvain algorithm is optimized with colored graphs to facilitate research continuity in labeling. In this study, 33,491 non-fraud data were grouped, and 241 fraud transaction data were carried out. However, Louvain’s algorithm shows that clustering increases the amount of data fraud of 90% by accurate.