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 95 Documents
 6   7   8   9   10 
Recombination coefficient analysis of hydrogen plasma species in the afterglow regime Sihombing, Felix Boy Martupa; Saktioto, Saktioto; Maikul, Kusherbayeva; Bibara, Kushkimbayeva
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.344

Abstract

The recombination coefficient of hydrogen plasma using the six thermal hydrogen species in the afterglow condition was analyzed through MATLAB computational modeling to determine the logarithmic density, and then to determine the difference between conduction and convection. This study aims to model the dynamics of recombination and determine the recombination coefficients of hydrogen species against temperature variations. This modeling was carried out using zero-dimensional chemical kinetic equations derived from the continuity equation, namely the reaction rate calculated using modified Arrhenius. This modeling is integrated numerically using the Runge-Kutta method. The density results of hydrogen species show a consistent decrease in temperature variation related to the ideal gas law, but the recombination coefficient increases with increasing temperature. This upward trend indicates that there is a dominance of three-body recombination processes over atmospheric pressure and afterglow conditions.
Design and characterization of a graphene-coated fiber Bragg grating gas sensor for low-concentration methane and carbon dioxide detection Irawan, Dedi; Hanto, Dwi; Widiyatmoko, Bambang
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.355

Abstract

Early detection and accurate monitoring of methane (CH4) and carbon dioxide (CO2) at low concentrations are essential for industrial safety, environmental monitoring, and greenhouse gas mitigation. Conventional gas sensors, including electrochemical and semiconductor types, suffer from environmental sensitivity, frequent calibration needs, and limited long-term stability. Therefore, more stable, sensitive, and intrinsically safe sensing technologies are required, especially for high-risk environments. Fiber Bragg grating (FBG) sensors offer key advantages as passive optical devices that are immune to electromagnetic interference, compact, and capable of multiplexed operation. This study presents the design and characterization of a graphene-coated FBG sensor for low-concentration CH4 and CO2 detection. The FBG was fabricated using the phase mask technique, followed by cladding etching to enhance evanescent field interaction with the surrounding medium. A graphene layer was synthesized via chemical vapor deposition (CVD) and transferred onto the etched fiber surface to serve as the active sensing layer. Gas adsorption on graphene induces refractive index variations, producing measurable Bragg wavelength shifts monitored by a high-resolution optical interrogator. Experiments were conducted at concentrations up to 100 ppm under controlled temperature and humidity conditions. Results show sensitivities of 12.4 pm/100 ppm for CO2 and 9.7 pm/100 ppm for CH4, with strong linearity (R2 > 0.98), fast response time (< 15 s), low hysteresis, and good long-term stability. The proposed FBG-graphene sensor demonstrates strong potential for reliable real-time gas monitoring in industrial and environmental applications.
IoT-based smart irrigation protocol for water efficiency and soil moisture stabilization in lowland horticulture Hadi, Adeela Nurul; Zhalila, Azka Zhillan; Salsabila, Raihana; Lestari, Kenny Indah
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.359

Abstract

Conventional irrigation in horticultural land continues to face challenges related to water wastage and soil moisture instability, particularly in Indonesia's lowland regions. This study proposes a smart irrigation system based on the internet of things (IoT) with a closed-loop control mechanism to enhance water use efficiency and maintain optimal soil moisture. The system was designed using NodeMCU ESP8266, soil moisture sensor, DHT11 sensor, 12V water pump, and Blynk platform for remote monitoring. Sensor calibration was performed using gravimetric method and linear regression, yielding a conversion equation of Y = 78.00 - 0.8391X with a correlation coefficient of r = -0.965. Experimental testing over three days was conducted on bird's eye chili, corn, and water spinach plants, comparing the IoT system against manual irrigation. Results demonstrated that the system maintained average soil moisture of 55.23% compared to 43.53% in conventional methods, saved up to 25.9% water, and increased Water Use Efficiency by 62.7%. These findings indicate that the IoT irrigation system is effective, economical, and has potential to support sustainable precision agriculture.
Enhanced social media phishing detection model using LSTM and BERT Syafitri, Wenni; Pane, Eddisyah Putra; Purwanto, Edi
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.360

Abstract

Phishing attacks are a major cyber threat, with more than 30% of incidents occurring via social media platforms, especially short message services. This study evaluates deep learning approaches for automated phishing detection using BERT and Hybrid (BERT-LSTM) architectures fine-tuned on 15950 annotated SMS. The BERT-only model achieved superior performance (F1 0.9928, recall 0.9952, AUC 0.999) with no statistically significant improvement from adding BiLSTM layers (0.0006). K-fold cross-validation demonstrated robust generalisation (coefficient of variation 0.10%). Dataset saturation analysis indicated that 15,950 SMS are sufficient for effective transfer learning. Mild overfitting (6.3x loss ratio) remained within acceptable bounds and did not affect validation metrics. The 1.77% false positive rate and 99.52% recall enable practical deployment for production phishing defence. Results demonstrate that transfer learning with BERT achieves production-grade performance while challenging conventional assumptions about architectural complexity.
Communicating customer value in sustainable fashion: Strategies and implications review for ethical consumerism Zurani, Ikhma; Sari, Genny Gustina; Samudra, Mohd Rendy; Aliya, Fibriyani Nur
Science, Technology, and Communication Journal Vol. 6 No. 2 (2026): SINTECHCOM Journal (February 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i2.363

Abstract

The fast fashion industry, with its penchant for consumerism, trash, and greenhouse gas emissions, is primarily responsible for environmental damage. Slow fashion is a movement that aims to promote more responsible consumerism through its emphasis on sustainable practices, ethical manufacture, and long-lasting design. In order to express sustainable ideals to consumers in the fashion industry, this study examines successful sustainability communication tactics. As a result of being impacted by honesty, equity, and repurposed goods, slow fashion customers place a premium on ethical business methods, environmental consciousness, and classic style. Constructal level theory, meanwhile, shows that while abstract messages reach more people, sustainability-conscious consumers are more receptive to concrete ones. However, despite the continued ineffectiveness of organisational green marketing, attitudes towards green products among Generation Z are driving sustainable behaviour. The environmental problems caused by rapid fashion necessitate more stringent regulations and consumer education, particularly in Vietnam. The findings of this study can help fashion industry stakeholders and policymakers tackle sustainability issues.

Page 10 of 10 | Total Record : 95

 6   7   8   9   10 

Filter by Year

2020 2026


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