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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Sisfotek Global
Kusmaya Kusmaya
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Reliability Comparison of High Performance Computing between Single Thread Loop and Multiple Thread Loop using Java-Based Programming at Fingerprint Data Processing Arief Ginanjar; Kusmaya Kusmaya
JURNAL SISFOTEK GLOBAL Vol 12, No 1 (2022): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v12i1.449

Abstract

High Performance Computing is one of the mechanisms in the programming family with a focus on increasing high performance in any programming environment, especially programming languages that use virtual machine environments such as C/C++, Java and Python. several sub-clusters of information technology such as Big Data, Data Warehouse, Business Intelligence and Artificial Intelligence, the use of HPC is widely applied in sophisticated computer machines that have enterprise data processing capabilities. This research was conducted to compare the ability of HPC with algorithms or java programming techniques in data processing that uses a lot of threads when implemented in ordinary computers used in everyday life, the term java programming technique that uses one thread is called Single Thread Loop then when using multiple threads is called Multiple Thread Loop. Due this comparison between sequential and parallel process so this research try to compare between Single Thread Loop and Multiple Thread Loop in Java Programming. The minimum requirement operating system is to use the MS Windows 7 or 10 and a Unix-based OS using an Intel i5 or i7 processor and use a minimum of 16 GB of RAM.
Expert System for Diagnosing Disease Symptoms of Rice Pests Using the Dempster Shafer Algorithm and Fuzzy Tsukamoto Algorithm Awan Setiawan; Sany Ni'ma Fauzia; Kusmaya Kusmaya; KM Syarif Haryana; Iwan Abadi; Erwin Yulianto
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 3 (2022): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i3.1425

Abstract

Agriculture is the largest sector in almost every developing country economy. This sector produces food for most of the population in the country. Some Indonesian people work as farmers who have an important role to ensure the availability of basic ingredients, namely rice from rice. However, the limited number of experts, namely Field Agricultural Extension Officers (PPL) results in limited counseling that will be obtained by farmers, because to overcome all the problems faced by farmers, it is constrained by time and the number of farmers who have problems with their crops. In this case, farmers find it difficult to deal with problems of pests and diseases that attack rice, therefore a tool or an expert application is needed that can help farmers to diagnose pests and diseases of rice in order to provide solutions to overcome them. In connection with that, this study aims to develop an application design of an expert system for diagnosing rice pests using the Fuzzy Tsukamoto algorithm which is a method for classifying objects based on the most similar data, and adding the Dempster Shafer algorithm as a comparison of the methods used to obtain data. maximum result validation. By using the Fuzzy Tsukamoto Algorithm, the author classifies similar objects, in this case the symptoms that often occur during the rice harvest season, then compares them with the Dempster Shafter Algorithm to obtain validation of diseases that occur in rice plants based on the classification of symptoms that have been mapped. . Furthermore, the system will provide the best decision to provide advice related to diseases experienced by rice plants so that farmers can immediately resolve them.
Co-Authors Awan Setiawan Erwin Yulianto Ginanjar, Arief Iwan Abadi KM. Syarif Haryana Sany Ni'ma Fauzia