cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rahmad Abdillah
Contact Email
rahmad@sintechcomjournal.com
Phone
+628117087858
Journal Mail Official
rahmad@sintechcomjournal.com
Editorial Address
JL. MERANTI NO.8 LABUH BARU PEKANBARU
Location
Kota pekanbaru,
Riau
INDONESIA
Science, Technology, and Communication Journal
Published by Lembaga Studi Pendidikan and Rekayasa Alam Riau
ISSN : -     EISSN : 27748782     DOI : https://doi.org/10.59190/stc
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Sintechcom is a periodical publication that publishes scientific articles on research results in the fields of Basic Science, Engineering, and Telecommunications. Scopes of journal are: Chemistry and Chemical Engineering; Physics, Material Sciences, and Mechanical Engineering; Biology, Biological and Bio System Engineering; Food and Agriculture Engineering; Statistics and Mathematics; Computer Science and Computational Science; Earth Science and Engineering; Space Engineering; Electrical Engineering; Environmental Science and Soil Science; Telecommunication; Electronic and Optic Communication; Image Processing, Computer Vision and Pattern Recognition ; Energy Conservation and Renewable Energy; Information System and Artificial Intelligence.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)" : 5 Documents clear
Fluorescence spectrum analysis on leaf and fruit using the ImageJ software application Defrianto, Defrianto; Shiddiq, Minarni; Malik, Usman; Asyana, Vepy
Science, Technology and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i1.218

Abstract

In this study, ImageJ has been used to process fluorescence spectroscopic images of spinach leaf treated with three variations of sunlight. In addition, apples and tomatoes are also used in imaging by treatment immersed in hot water, pierced, and pressed. Leaf and fruits are illuminated by laser diodes and LEDs of different wavelengths. ImageJ is used to calculate the RGB and gray values of the image with two segmentations, namely the intact image and the threshold. The results show that the thresholding method gives the best results because it automatically reduces the image background. In addition, the threshold background can also be easily set in this imaging. For the spinach leaf experiment, LED with a wavelength of 680 nm showed significant differences in each treatment of sunlight intensity. Meanwhile, in the apple and tomato experiment, the diode laser with a wavelength of 405 nm showed significant results. Both types of fruit with this puncture treatment turned out to provide higher intensity than pressed fruit.
A computational model of acoustic ray propagation in the deep-sound channel axis ocean region based on the Euler-Cromer method Defrianto, Defrianto; Putri, Ika Aprilla; Malik, Usman
Science, Technology and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i1.219

Abstract

Research on the model of sound wave propagation in the ocean on the axis of the deep sound channel has been carried out using discrete acoustic ray propagation with varying beam lengths. This study aims to obtain parameter values in the form of maximum angle of incidence and effective beam length to simulate acoustic wave propagation around the axis of the deep sound channel. The research was conducted by simulating the acoustic beam at a depth with the minimum acoustic velocity value by varying the angle of incidence and the length of the applied beam. In this study, constant acoustic velocity gradient and gradient data were used. Calculation of the velocity gradient from discrete data using the Euler-Crommer formula. From this research, it can be seen that at a depth of 854 m the minimum acoustic velocity is 1487.53 m/s. For a constant gradient with a value of 0.054 and variations in beam length from 1 m to 4 m, the maximum angle of incidence is 0.4 radians. Analytically, the radius of curvature of the rays is 28107.12 m. Comparing the analysis and computation results, there is a very small error of 0.02%, so this model can be used to simulate acoustic wave propagation based on real data gradients. The gradient pattern based on real data and variations in beam length from 1 m to 4 m, obtained a maximum angle of incidence of 0.4 radians.
Non-concentric single-mode optical fiber dispersion Basdyo, Doni; Zairmi, Yoli; Yupapin, Preecha
Science, Technology and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i1.220

Abstract

The application of wave transmission in telecommunication optical fiber still has problems in the form of dispersion. For this reason, it is necessary to design and operate optical fiber dispersion that is shifted or not concentric with simulation as the first step in designing which is easier, cheaper and has a high level of accuracy. The purpose of this study was to analyze the design and operation of the displaced optical fiber dispersion and determine the wavelength value at the minimum dispersion value using OptiFiber software. The input parameters consist of the refractive index of the optical fiber in the range of 1.4615 to 1.44692 and the wavelength range of 1.4 µm to 1.5 µm. The dispersion result obtained is a minimum wavelength of 1.5506 µm. This result is close to the theoretical value of 1.55 µm with attenuation and dispersion at one wavelength point. The results of this study can be used for validation in experiments.
Schrödinger's equation as a Hamiltonian system Hamdan, Suhaivi; Amiruddin, Erwin
Science, Technology and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i1.221

Abstract

This article describes the concept of the time-dependent Schrödinger equation (TDSE) as a review to add a detailed understanding of the steps to formulate TDSE which can be seen from the classical mechanic's concept as a mechanical wave function. In this article, a comprehensive approach to the concepts of momentum and energy in particles will be described using operators working on wave functions. The results show that the use of momentum and energy operators can show that TDSE is a Hamiltonian system.
Electrocardiogram signal patterns detection of myocardial ischemia rhythm using an artificial neural network based on MATLAB/Simulink Arianto, Yendra; Hamdi, Muhammad; Meyzia, Bunga
Science, Technology and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i1.222

Abstract

This study aims to design a computer program to detect myocardial ischemic heart defects through electrocardiogram (ECG) signal patterns and their accuracy. Myocardial ischemia is a heart disorder caused by the narrowing of the blood vessels in the walls of the heart. The method used is a backpropagation-based artificial neural network (ANN) based on MATLAB/Simulink. The input data is trained to recognize the target pattern of the ECG signal based on the potential and time in the ST segment. The optimal weight of the results of the ANN backpropagation algorithm is used in the process of testing the ECG signal pattern to obtain the ANN output. The ANN output was analyzed for potential depression or elevation to identify normal heart or myocardial ischemia. The results of the training show that from several architectures that have been tested, the optimal ANN architecture is 1 hidden layer with 11 hidden units. These results are obtained from the epoch parameter and the mean square error (MSE) value as well as the accuracy of each architecture. The backpropagation ANN learning process requires 8 epochs to achieve the performance goal with MSE 4.03 × 10-9. The system can recognize target patterns with a training accuracy of 99.82%. The test results of the ANN program identification system can detect myocardial ischemia and normal heart abnormalities with an accuracy of 86.7%. Some data were not detected because the ANN output did not meet the criteria for cardiac ischemia or normal myocardium on the ECG signal. Based on the accuracy of the ANN program identification system, the detection of myocardial ischemia rhythm ECG signal patterns using ANN can be said to work well.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026) Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025) Vol. 5 No. 3 (2025): SINTECHCOM Journal (June 2025) Vol. 5 No. 2 (2025): SINTECHCOM Journal (February 2025) Vol. 5 No. 1 (2024): SINTECHCOM Journal (October 2024) Vol. 4 No. 3 (2024): SINTECHCOM Journal (June 2024) Vol. 4 No. 2 (2024): SINTECHCOM Journal (February 2024) Vol. 4 No. 1 (2023): SINTECHCOM Journal (October 2023) Vol. 3 No. 3 (2023): SINTECHCOM Journal (June 2023) Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023) Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022) Vol. 2 No. 3 (2022): SINTECHCOM Journal (June 2022) Vol. 2 No. 2 (2022): SINTECHCOM Journal (February 2022) Vol. 2 No. 1 (2021): SINTECHCOM Journal (October 2021) Vol. 1 No. 3 (2021): SINTECHCOM Journal (June 2021) Vol. 1 No. 2 (2021): SINTECHCOM Journal (February 2021) Vol. 1 No. 1 (2020): SINTECHCOM Journal (October 2020) More Issue