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Department of Physics, Faculty of Science, Universitas Mandiri Jl. Marsinu No. 5, Dangdeur, Tegalkalapa, Kabupaten Subang, Jawa Barat 41211 Indonesia
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Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics
Published by Universitas Mandiri Bina Prestasi
ISSN : -     EISSN : 29862760     DOI : https://doi.org/10.11594/timeinphys
Core Subject : Science, Education,
Education Mathematics Physics
Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics is a peer-reviewed journal that is published by Universitas Mandiri and managed by the Department of Physics, Faculty of Science, Universitas Mandiri. TIME in Physics is published periodically second times a year in January and August. TIME in Physics provides immediate open access to its content to all readers. The journal is designed to serve academicians, researchers, developers, professionals, and others interested in physics. The articles in TIME in Physics included research and developments in Theoretical Physics, Instrumentation Physics, Material-Molecular Physics, and Physics Education.
Arjuna Subject : Fisika dan Astronomi - Instrumentasi
Articles 12 Documents
 1   2 
Object Tracking Based on Camera Using Anfis and Fuzzy Classifier for RGB Color Iqbal Robiyana; Timbo Faritcan Parlaungan; Sarifudin; Muhamad Agung Suhendra
TIME in Physics Vol. 1 No. 2 (2023): August
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2023.v1i2p85-91

Abstract

Image processing technology has a wide range of applications, such as in the medical, military, surveillance, and robotics industries. Analyzing objects in images is crucial when it comes to image processing. This study focuses on image processing to track objects of red, green, and blue (RGB) colors through the utilization of a camera. There are two research schemes: image processing and data classification. The data classification method used is the fuzzy and adaptive neuro-fuzzy inference system (ANFIS). The methods of image subtracting and region properties are commonly utilized for image processing. Based on the classification data results, the fuzzy logic classification demonstrated a higher accuracy rate of 86% when compared to Anfis' 65%. This was observed when both classification models were tested using a random sample. The value of Anfis is small due to the limited size of the training data used. As a result, it is recommended to use a fuzzy classifier for object color tracking for good performance.
Study of Adsorption Kinetics of Fe Metal in Batik Cual Waste using Chitosan of Rice Crab Shells Fadillah Ramadhani; Widodo Budi Kurniawan; Herman Aldila
TIME in Physics Vol. 1 No. 2 (2023): August
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2023.v1i2p93-100

Abstract

Chitosan from freshwater crab (Parathelphusa convexa) shell has been successfully extracted and its kinetic adsorption models for iron (Fe) metal ions in the batik cual waste solution (BCWs) were studied. Freshwater crab chitosan (FwC-Chi) was extracted via demineralization, deproteinization, decolorization, and deacetylation steps. The deacetylation degree value of FwC-Chi was 97.92% determined through FTIR spectra using the baseline method. In this study, iron metal ions distributed in the BCWs homogeneously with the concentration of iron (Fe) was 0.43 mg/L determined by atomic absorption spectroscopy (AAS). The performance of FwC-Chi adsorption on iron in the BCWs with the ratio of 1:100 (w/v) for various contact times of 30, 60, 90, 120, 150, 180, 210, and 240 minutes respectively while stirring homogeneously at room temperature. The result showed that the adsorption kinetic models for iron metal ion in the BCWs follows Behnajady-Modirshahla-Ghanbery (BMG) and pseudo-second-order kinetic model. Based on this model we found that the decrease of iron concentration is indicated by the decolorization of the waste color. It’s clear that there is a relationship between the waste color with the concentration of iron metal in the BCWs. The coefficient of decolorization decay, rate of decolorization and adsorption rate coefficient was 1,366 g-1, 16,053 g min-1, and 0,043 g mg-1 min-1 respectively achieved based on this model.

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