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 85 Documents
 5   6   7   8   9 
Utilization of IoT and biomass energy for innovation in cracker production Muhammad, Juandi; Emrinaldi, Tengku; Ekwarso, Hendro; Arifudin, Arifudin; Risanto, Joko; Yusri, Yusri; Budijono, Budijono; Kemal, Kemal; Rany, Novita; Syah, Erzan
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.334

Abstract

This study explores an innovation based on IoT and biomass energy for the efficient production of processed food, specifically crackers. Biomass energy, derived from plant materials, is utilized to generate heat in the processing room. This innovation significantly reduces the processing time for crackers to just 2 hours, compared to the conventional method that requires 2 days of sun-drying. The biomass energy source used in this study includes rambutan tree trunks, which not only provide efficient heat but also impart a pleasant aroma to the final product. The research employs a direct experimental method to design and implement this technology in industrial settings. The primary ingredient for the crackers is cassava, mixed with fish, shrimp, and jengkol. The heat energy generated from the combustion of rambutan tree trunks is effectively utilized in the combustion chamber. Observations indicate that the crackers produced are of high quality, with appealing color and fragrance, making them suitable for market distribution. This innovation demonstrates the potential of combining IoT and biomass energy to enhance food processing efficiency and product quality.
Physical properties of oil palm fresh fruit bunch varieties Shiddiq, Minarni; Hamzah, Yanuar; Nasir, Zulfa; Amanullah, Farid; Rabin, Mohammad Fisal; Dasta, Vicky Vernando
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.336

Abstract

Identification of oil palm fresh fruit bunches (FFB) based on variety is a crucial step in sorting and grading FFBs to produce good-quality crude palm oil (CPO). Most palm oil mills receive two varieties of FFBs at the reception stations, Tenera and Dura, and only a certain percentage of the Dura variety is allowed in a transporting truck. The conventional identification is destructive, cutting several fruits off an FFB bunch and checking for fruit Mesocarp and shell thickness. The method suffers a high increase in free fatty acid (FFA) content. This study is a preliminary study using computer vision and image processing to differentiate the two varieties based on their physical properties. The samples consisted of 20 Dura and 20 Tenera FFBs, 10 unripe and 10 ripe FFBs. The FFB images were acquired for both front and back sides using a color CMOS camera. ImageJ software was used to obtain the number of outer fruits and bunch surface area, used to calculate fruitlet density. Both varieties are also compared based on mass and by red, green, and blue (RGB) intensities. The results were compared to the results measured manually. The results showed that the Tenera variety exhibited higher fruit density, fruitlet count, RGB intensity compared to the Dura variety. Both varieties have higher correlations between fruit density and their masses. These results show the potential of computer vision and image processing methods to differentiate Tenera and Dura varieties, used for sorting and grading oil palm FFBs.
A classification of Quran translations using K-nearest neighbors, support vector machine and random forest method Delifah, Nur; Harahap, Nazruddin Safaat; Agustian, Surya; Irsyad, Muhammad; Iskandar, Iwan
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.337

Abstract

A Classification of Quranic verses based on topics is one of the efforts to facilitate understanding and searching for information in the holy book, especially for non-Arabic readers. This study aims to test and compare the performance of three text classification methods, namely K-nearest neighbors (KNN), support vector machine (SVM), and random forest (RF), in grouping translated Quranic verses into 15 topic classes, such as Islamic arkanul, faith, the Quran, science and its branches, charity, da'wah, jihad, human and social relations, and others. The dataset used is the English translation of the Quran with full preprocessing and an 80:20 data split for training and testing. The evaluation was carried out using accuracy, precision, recall, and F1-score metrics. The results show that RF achieved the best performance with an average F1-score of 58.48% and testing accuracy of 90.81%. KNN followed with an F1-score of 54.07% and the highest testing accuracy of 92.05%, while SVM produced the lowest F1-score at 50.76% and accuracy of 88.20%. The RF demonstrates a more balanced ability in recognizing all classes, KNN excels in overall accuracy, and SVM performs less optimally in this classification task. This research is expected to serve as a foundation for developing a more intelligent and contextual topic-based verse classification system.
ACCOALTIC: Bottom loading dispenser through raw water source Kuantan River polluted Hg from unlicensed gold mining activity Mubarak, Lidia; Hikma, Nurfi; Jelita, Elda Juliana; Ramadhani, Marsya Rizkya; Az-Zuhra, Najwa; Septama, Muhammad Dino; Fadhil, Muhammad
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.338

Abstract

Unlicensed gold mining activities are still a polemic in the people of Kuantan Singingi Regency, starting from 2006 until now. Kuantan River water has a turbidity of 72.42 NTU, a concentration of 0.0325 mg/l Hg, and a bacterial count of 410 CFU/100 ml. Eventhough, Kuantan River water is the main source of raw water used by UPTD PAB with 3,727 active customers. Until now, water treatment at UPTD still uses alum as a purifier without laboratory-scale analysis. The purpose of this study is to analyze the effectiveness of ACCOALTIC's working principles in the Kuantan River raw water purification process and explain the results of the development of ACCOALTIC bottom loading dispenser. The study was conducted in quantitative experiments. ACCOALTIC uses the working principle of 3 filtration tanks, namely purification & coagulation, adsorption, and disinfection. Test parameters using a turbidity meter get an average value of 5 tests per sample after treatment of 0.1 NTU. The decline occurs due to the nature of Al2(SO4)3 contains aluminum sulfate. In the XRD test of Hg absorption, there is a peak in the X-ray intensity coordinates (a.u.) which indicates the presence of Hg. SSA testing found a decrease in Hg concentration by 77.21%. The number of E. coli bacteria was 410 (before treatment) and 2 (before treatment) in CTU/100 mL units, hence the % value decreased by 99.51% while the development of ACCOALTIC is carried out in the form of bottom loading dispensers.
Effect of drying methods on total flavonoid content of Scurrula ferruginea (Jack) Danser (Loranthaceae) leaf extracts parasitizing jengkol (Pithecellobium jiringa) Yansen, Fatridha; Mossfika, Eldya; Prima, Heppy Setya
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.339

Abstract

Scurrula ferruginea (Benalu) is a hemiparasitic plant with potential as a raw material for traditional medicine due to its high flavonoid content. The concentration of flavonoids is substantially determined by the specific drying technique applied. Studies investigating the use of the stir-frying method remain limited, and there is no standardized protocol has yet been established to recommend an appropriate method for preserving the total flavonoid content in S. ferruginea leaves. This study aims to compare the total flavonoid content (TFC) in ethanol extracts of Benalu leaves on the Jengkol dried using three different methods: air-drying, oven-drying, and stir-frying drying. All samples were subsequently powdered and subjected to maceration using ethanol solvent, followed by analysis of their total flavonoid content using spectrophotometry UV-Vis at maximum wavelength at 431 nm. Statistical analysis of one-way ANOVA showed that different drying methods generated significant effects on TFC level of Benalu leaves extracts with significance value = 0.001 (p-value <= 0.05). The results indicated that air-drying yielded the highest flavonoid content with 7.37 ppm, followed by stir-frying (4.93 ppm) and oven-drying (2.88 ppm). These findings highlight the critical importance of selecting an appropriate drying method to preserve flavonoid levels, thereby enhancing the pharmacological efficacy and quality of herbal products derived from S. ferruginea leaves.

Page 9 of 9 | Total Record : 85

 5   6   7   8   9 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue 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