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All Journal JURNAL SISTEM INFORMASI BISNIS Scientific Journal of Informatics Indonesian Journal of Computer Science
Furqan, Mhd
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Computer Science & IT Economics, Econometrics & Finance

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Tempat Sampah Pintar Dengan Logika Fuzzy Berbasis NodeMCU Furqan, Mhd; Kurniawan, Rakhmat; Br Rambe, Indri Gusmita
Indonesian Journal of Computer Science Vol. 9 No. 1 (2020): April 2020
Publisher : STMIK Indonesia Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.667 KB) | DOI: 10.33022/ijcs.v9i1.256

Abstract

This research aimed to design a smart dustbin. The smart dustbin was made by using ultrasonic sensors to detect the object and the volume of trash height. NodeMCU was used as data processing center, and LCD used as information output. The dustbin also using fuzzy logic to produce the volume status output of the trash height. It’s starting from empty to fully loaded. The janitor also can do re-check of the dustbin’s volume efficiently and effective through web application. Based on the testing result, the conclusion of the research is the sensor system has accuracy of precision rate of 93,4.
Evaluasi Performa Support Vector Machine Classifier Terhadap Penyakit Mental Furqan, Mhd; Kurniawan, Rakhmat; HP, Kiki Iranda
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp203-210

Abstract

Expression of genes found in the brains of autism, bipolar, and schizophrenia patients identified as overlapping. The overlap is a state in which the values of genes are similar. This paper aims to determine the best performance of support vector machines algorithm in classifying autism, bipolar, and schizophrenia based on the expression of genes using genome-wide association studies data. Using three support vector machine kernels, this study evaluates the performance of gaussian, laplacian, and sigmoid for genome-wide association studies datasets. The datasets were obtained from Psychiatric Genomics Consortium publications, where 660 data were taken with each disorder consisting of 220 data. This study proposes an optimal kernel for one-against-one and one-against-all multiclass support vector machine, and the performance is evaluated using accuracy. The study results show that the Gaussian kernel has the best accuracy performance compared to other support vector machines kernels in classifying genome-wide association studies data of autism, bipolar, and schizophrenia as early diagnosis.
Augmented Reality Using Brute Force Algorithm for Introduction to Prayer Movement Based Furqan, Mhd; Ikhsan, Muhammad; Nasution, Irma Yunita
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.29472

Abstract

Proposed: Prayer is compulsory to worship for Muslims around the world. Prayer is a mandatory commandment from Allah SWT. However, the companions and the Madzhab of Islam have a different opinion but remain Saheeh as long as it does not stray away from the teachings of the Prophet and Al-Quran. This prayer movement consists of the prayer movement of the Madzhab, Imam Shafi'i, Imam Hanafi, Imam Hambali, and Imam Maliki. The Marker used 9 pieces with pictures of each movement. One marker has several shapes of the movements that are several object targets are listed in it. Methods: The Brute Force algorithm used is to match the String value. The Brute Force algorithm can recognize well any String value that is matched to the marker and data from the database. This algorithm is applied to Augmented Reality technology. This app is built using Augmented Reality technology that combines real-world and virtual worlds. Results: This technology is well recognized applied from the Brute Force algorithm, which can validate the match result String value between the database and marker. Novelty: This technology uses the camera to find suitable markers in order to display 3D objects if the marker and the database match. So that this built system can facilitate many circles in learning the prayer movements based on the prayer movement version of islamic high priest.
Co-Authors Br Rambe, Indri Gusmita HP, Kiki Iranda Muhammad Ikhsan Nasution, Irma Yunita Rakhmat Kurniawan R