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Contact Name
Rahmad Abdillah
Contact Email
rahmad@sintechcomjournal.com
Phone
+628117087858
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rahmad@sintechcomjournal.com
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JL. MERANTI NO.8 LABUH BARU PEKANBARU
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Kota pekanbaru,
Riau
INDONESIA
Science, Technology, and Communication Journal
ISSN : -     EISSN : 27748782     DOI : https://doi.org/10.59190/stc
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.
Articles 121 Documents
Schrödinger's equation as a Hamiltonian system Suhaivi Hamdan; Erwin Amiruddin
Science, Technology, and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan dan 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 Yendra Arianto; Muhammad Hamdi; Bunga Meyzia
Science, Technology, and Communication Journal Vol. 3 No. 1 (2022): SINTECHCOM Journal (October 2022)
Publisher : Lembaga Studi Pendidikan dan 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.
Acoustic wave propagation model in the surface layer area based on the Runge-Kutta method Defrianto Defrianto; Hazmi Wirianto; Usman Malik
Science, Technology, and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.227

Abstract

Simulation of acoustic wave propagation in the surface layer area is carried out by taking a positive value acoustic velocity gradient so that in this simulation there will be a wave phenomenon trapped in the surface layer area. In this study, acoustic beam emission was conducted by varying the angle of incidence and length of the beam used, and the determination of the acoustic velocity gradient was carried out using the Runge-Kutta order of order 2. The results showed that at depths of 0 to 40 meters with an acoustic velocity of 1405 m/s, for a length of 1 meter and a gradient pattern of +2.5 obtained a minimum angle of incidence of 0.09 radians with a wave propagation of 250 meters. Comparison between analytical and computational results on wave propagation in the surface layer area is a 4.51% error.
Determination of the shadow zone area in the ocean computationally by simulating the propagation of acoustic rays Defrianto Defrianto; Nando Pratama; Usman Malik
Science, Technology, and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.228

Abstract

Simulation of acoustic wave propagation to determine the shadow zone area using computational methods has been carried out using negative value gradients. The study was conducted by varying the angle of incidence and variations in the length of the beam used. This research was conducted by comparing analytical results with computational results. The results of this study indicate that at a depth of 500 meters with a sound speed of 1493.1 m/s, a beam length of 1 meter, and a gradient pattern of -0.1, a maximum angle of 0.255 radians is obtained with the shadow zone area being at a depth of 0 to 800 meters and a distance of 5000 meters of wave source. The value of the difference or error in analytical data and computational data is 0.0817%.
Performance comparison of the Naive Bayes algorithm and the k-NN lexicon approach on Twitter media sentiment analysis Azhar Azhar; Siti Ummi Masruroh; Luh Kesuma Wardhani; Okfalisa Okfalisa
Science, Technology, and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.229

Abstract

Sentiment analysis or opinion mining is a natural language that processes words to find out opinions, attitudes, or moods about certain things. Word processing in this study related to the process of classification in textual documents, which was classified into three classes, positive, negative, and neutral. Data obtained from social media Twitter were related to netizens' comments as many as 1000 comments. These data were crawled using keywords of the “Pilpres2019” and “Jokowi”. This study compared the performance of the Naive Bayes and k-Nearest Neighbor (k-NN) algorithms with the lexicon approach in classification. The aim of this study was to compare the level of accuracy, precision, and recall of Naive Bayes and the k-NN algorithm with the lexicon approach. From the evaluation, we concluded that the combination of the k-NN algorithm and the lexicon approach could improve accuracy in this sentiment analysis case. Generally, the k-NN algorithm with lexicon approach in which the k value is k = 5 has better performance with a 77% of accuracy level, followed by Naive Bayes with an accuracy of 81% of accuracy level.
Effect of direct current electric field on the root growth of oil palm seedlings Detlamasi Agustin; Zamri Zamri; Doni Basdyo; Saktioto Saktioto; Muhammad Safwan Abd Aziz; Mohammed M Fadhali
Science, Technology, and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.230

Abstract

The acceleration of the growth in the rate of oil palm seed roots is a non-chemical solution in nursery needs. Utilizing the electricity sector as an increase in germination productivity. In this case, this study examines variations in the electric field direct current 50, 100, 200, 400, 800, and 1000 V/m and the exposure of time 15, 30, 45, and 60 minutes. The results showed exposure to an electric field direct current in voltage of 100 V/m increased germination at each exposure time by 17%, 21%, 20% and 26% with exposure times of 15, 30, 45, and 60 minutes to control. However, a maximum intensity of 1000 V/m inhibits the germination process for each time of 30, 45, and 60 minutes by 8%, 9%, and 12% in the control. Exposure to direct current in electric field intensity and exposure of time affect root metabolism in the germination process.
Temperature stabilization based on passive cooling technology in the initial design of an eco-friendly mini greenhouse Zulkarnain Zulkarnain; Nurfi Hikma; Ramy Fitrah Izzah; Nandita Devira
Science, Technology, and Communication Journal Vol. 3 No. 2 (2023): SINTECHCOM Journal (February 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i2.231

Abstract

Greenhouses become one of the buildings where the cultivation of plants. The concept of environmentally friendly greenhouses is included in the current model of urban agriculture. The design of the greenhouse building concept is environmentally friendly by utilizing passive cooling technology. Passive cooling technology is used in this design to balance the temperature and humidity of the greenhouse through natural energy flow. The purpose of the research and design of this building is to investigate the temperature differences inside and outside the greenhouse space. The results of this study know that passive cooling with and without water greatly affects the temperature in the room. Passive cooling without water will produce hot temperatures in the room compared to passive cooling using water.
Modelling and control of nonlinear compressor unit in biohydrogen plant using multivariable model predictive control (MMPC) Muhammad Adjisetya; Abdul Wahid; Ian Ajrin Rohman
Science, Technology, and Communication Journal Vol. 3 No. 3 (2023): SINTECHCOM Journal (June 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i3.232

Abstract

Biohydrogen plants consist of several units, one of them is the compressor unit. The compressor unit serves to increase the pressure needed for the next processing unit. In real conditions, several disturbances may occur in the process, affecting the stability of the system. Therefore, process control is needed for this system. Co-simulation is done by integrating Aspen plus dynamics for the nonlinear model of the compressor unit and MATLAB/Simulink for the control system model and mathematical calculation. Multivariable model predictive control (MMPC) is considered to control the system of the compressor unit. Three MPC parameters such as sampling time (Ts), prediction horizon (P), and control horizon (M) are set to 0.5, 50, and 30 seconds. The co-simulation gives various results. The highest overshoot is 19.6278 kPa in CV3 when SP on CV1 changed. The longest settling time occurred in CV4 when SP in CV4 was changed, 47.2729 seconds. The highest IAE is 14.8831, which occurred in CV4 when the SP of CV4 changed, and ISE is 200.7517 in CV3 when the SP of CV1 is altered.
Effect of chemical ions on oil palm midribs and leaves by direct electric voltage treatment Defrianto Defrianto; Suhardi Suhardi; Dewi Indriyani Roslim; Awitdrus Awitdrus
Science, Technology, and Communication Journal Vol. 3 No. 3 (2023): SINTECHCOM Journal (June 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i3.233

Abstract

The productivity of palm trees grown is generally measured in monthly and yearly periods, but on a shorter time scale, it is particularly measured by the plant maintenance of palm trees. Consideration of the general productivity in time is how to produce good fruit fertilizer (chemical aspect), healthy plants, fast growing and evolving (agricultural aspect), and genetic type of palm that grows (biological aspect). However, the growth and production on the physical aspect is still less attention. Through physical treatment, the growth of palm trees can be optimized to support aspects of the previous aspects, as it has been proven in advanced countries on the plant's aloe vera, avocado, and pine trees. In this paper, the methodology proposes a direct current voltage treatment to the palm tree that can accelerate the flow of ions to grow and develop nutrients. The palm tree samples are aged 1 to 5 years corresponding to the provision of 10, 16, 25, 35, and 50 V for each of the ages of the palm tree respectively. Identifying samples before and after treatment by electricity is based on the geometry of leaves, midribs, and ions effect. There have been reduced and increased levels of nutrients. This identification can optimize the productivity of palm trees.
Design and testing of circular metamaterial-based salinity sensors Yona Purnama Rezki; Romi Fadli Syahputra; Delovita Ginting
Science, Technology, and Communication Journal Vol. 3 No. 3 (2023): SINTECHCOM Journal (June 2023)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v3i3.234

Abstract

The salinity sensor is a salt level detection tool designed based on the electrical properties of water. The salinity sensor consists of two electrodes that are dipped in water where the sensor is given a potential difference so that electrons flow in the sensor-building circuit. The electrode is connected to a variable resistor which forms a voltage divider circuit connection. This research aims to design a metamaterial (MTM) sensor to detect salt levels in the 100 – 900 MHz range and investigate the performance of MTM sensors for detecting salt levels. The working MTM sensor design has been successfully designed and tested, where the MTM sensor is also able to differentiate frequency values from samples with different salt levels.

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