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INDONESIA
Jurnal Sains dan Teknologi
Published by CV ITTC Indonesia
ISSN : -     EISSN : 28077393     DOI : 10.47233
Core Subject : Science, Education, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering
Jurnal Sains Dan Teknologi (JSIT), merupakan Jurnal Penelitian dan Kajian Ilmiah yang diterbitkan CV.ITTC - INDONESIA dan dikelola langsung oleh Webinar.Gratis dan Even.Gratis yang terbit 3 (tiga) kali dalam setahun. Penyunting menerima kiriman naskah hasil kajian dan penelitian untuk bidang, Teknik Elektro, Teknik Sipil, Teknik Mesin, ,Teknologi Informasi.
Arjuna Subject : Umum - Umum
Articles 215 Documents
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Pengaruh Gradasi Agregat terhadap Kuat Tekan dan Permeabilitas pada Beton Porus Hamzah, Muhammad Syafrie; Rochmah, Nurul
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3810

Abstract

Pervious concrete is designed with open pores to allow water to flow through the concrete structure, unlike conventional concrete which is impermeable. This concrete is effective in stormwater management and groundwater recharge, making it an ideal choice for urban sidewalks. This study aims to analyze the effect of aggregate gradation on the compressive strength, permeability, porosity, and absorption of pervious concrete. The method used follows the ACI 522 R-10 mix design. The test results show that gradation A (5-10 mm) has the best compressive strength of 9.24 MPa, the lowest permeability of 0.23 cm/s, porosity of 23.57%, and absorption of 12.96%. Gradation B (10-15 mm) results in a compressive strength of 7.20 MPa, permeability of 0.38 cm/s, porosity of 27.81%, and absorption of 7.86%. Meanwhile, gradation C (15-20 mm) shows the lowest compressive strength of 5.92 MPa, permeability of 0.30 cm/s, the highest porosity of 36.31%, and absorption of 9.80%. Larger aggregate gradation increases permeability and porosity but decreases compressive strength.
Pengaruh Pasir Batu Kapur Sampang Madura sebagai Agregat Halus terhadap Slump Beton Gono, Theresia Kristanti; Sutriono, Bantot; Rochmah, Nurul
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3811

Abstract

Concrete is one of the most widely used construction materials, with aggregates forming the largest portion of its total volume. The growing demand for natural aggregates encourages the exploration of alternative materials that are more sustainable and locally available. Limestone from the Sampang–Madura region is considered a potential aggregate substitute, although its distinct physical characteristics require detailed investigation. This study examines the effects of incorporating limestone as a 50% replacement for coarse aggregate and as a fine aggregate substitute at variations of 0%, 5%, 10%, 15%, and 20%. Experimental testing was carried out using cylindrical specimens measuring 15×30 cm with a target strength of f’c 25 MPa. The tests included slump testing,. The results indicate that replacing fine aggregates with up to 20% limestone still meets the required slump range, although mixtures with substitutions of 10% or more show reduced workability due to the high absorption capacity of limestone, which affects the water–cement ratio. Overall, the findings demonstrate that local limestone can serve as a viable aggregate substitute, reducing dependence on natural aggregates while supporting environmentally sustainable construction practices.
Pengukuran Produktivitas Tenaga Kerja pada Proyek Swakelola XYZ Pratiwi, Katarina Dian; Triana, Masca Indra; Firmansyah, Mohamad
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3813

Abstract

Worker productivity is one of the factors that determines the success of a project. The XYZ construction project is a self-managed project. Productivity can be measured using the Labor Utilization Rate (LUR) method. Labor Utilization Rate (LUR) is an indicator that shows the portion of work time actually spent by workers on productive tasks during the observation period. Researchers measured LUR using work sampling, a random observation method that records worker activities at various times to illustrate the utilization of work hours in the field. During the observation, observers recorded the time, location, and type of activity using a simple form. This study collected data directly on the finishing work of the XYZ Project. Observations were conducted on five workers over six days, resulting in a total of 30 samples. Worker activities were recorded at specific intervals from 8:00 a.m. to 5:00 p.m. WIB. In addition, researchers also collected data on respondent characteristics through a questionnaire covering age, education, work experience, and length of service on the project. The combination of work sampling and questionnaires provides a more comprehensive picture of labor productivity. Measurement results showed that the ceramic tile installation job had the highest LUR value at 55.67%, while the wall demolition on the second day had the lowest value at 51.73%. An LUR value in the 50–60% range indicates moderate or fairly effective productivity. This indicates that worker performance is quite good, but there is still unproductive time that needs to be minimized. Indicator evaluation showed that time management is the most influential factor on productivity, with the highest score on indicator X4.6 at 3.73. Conversely, mastery of technical skills was the weakest factor, with a score of 3.20 on indicator X3.3. Thus, despite good time discipline, productivity is still hampered by limited technical competency and a suboptimal compensation system.
Pengujian Slump Beton Alir dengan Penggunaan Serbuk Batu Kapur sebagai pengganti Semen Napa, Marniantu Helena; Rochmah, Nurul
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3816

Abstract

This study aims to analyze the effect of using limestone powder as a partial replacement for cement on the slump value of flowing concrete. The limestone powder substitution was applied in variations of 0%, 5%, 9%, 10%, and 15% of the cement weight to observe changes in the fresh properties of the concrete. The slump test was carried out according to standard methods for flowing concrete to evaluate the workability and flowability of the mixture. The test results showed that the addition of limestone powder with fine particle size was able to increase the slump value because it acts as a filler that improves particle packing and reduces inter-particle friction. However, at substitution levels above the optimum limit, a tendency for segregation began to appear, resulting in reduced mixture stability. Overall, limestone powder can be used as a cement substitute in flowing concrete as long as its percentage is controlled to ensure it still meets the required workability standards.
Dashboard BI untuk Visualisasi Harga Bahan Pokok Provinsi Jawa Barat Setiawan, Dany; Trisnawarman, Dedi; Perdana, Novario Jaya
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3832

Abstract

This study aims to design and implement an interactive Business Intelligence (BI)-based dashboard to visualize staple food price data in West Java Province. The data were obtained from the National Strategic Food Price Information Center (PIHPS)–Bank Indonesia, covering the period from January 2023 to December 2024. The Extract, Transform, Load (ETL) process was carried out using Power Query, and the processed data were stored in a MySQL database using a star schema model consisting of fact and dimension tables. Data visualization was developed using Power BI, featuring key indicators such as average price, highest price, lowest price, previous month’s average price, and 3- and 6-month moving averages. The dashboard provides interactive filtering features based on time period, region, and commodity type. The results of Black Box Testing indicate that all system functions operate as expected. This dashboard is expected to enhance price information transparency and support data-driven decision-making for government agencies, business actors, and the public.Key words
Analisis Faktor yang Memengaruhi Masa Tunggu Kerja Pertama Lulusan FMIPA Universitas Sriwijaya Yolanda, Defita; Maiyanti, Sri Indra; Faruk, Alfensi
Jurnal Sains dan Teknologi (JSIT) Vol. 6 No. 1 (2026): Januari - April
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v6i1.3862

Abstract

The waiting time for graduates to find employment is a vital indicator of the relevance of higher education to the labor market, but the factors influencing the waiting time for graduates of the Faculty of Mathematics and Natural Sciences (FMIPA) at Sriwijaya University (Unsri) have not yet been studied in depth. This research aims to analyze the factors influencing the waiting time for employment of Unsri graduates. Using the data from the tracer study conducted, a sample size of 110 alumni from the Faculty of Mathematics and Natural Sciences (FMIPA) at Sriwijaya University (Unsri) was obtained. This study applies the ordinal logistic regression method to model the categorical data structure of the ordinal response variable. Based on the analysis conducted, it is evident that the factors influencing FMIPA Unsri alumni in obtaining their first job (p-value < 0.1) are gender, year of graduation, study program, and the job title applied for.
Penerapan Model Artificial Neural Networks (ANN) dalam Mengklasifikasi Risiko Kesehatan Ibu Hamil Afrian, M.Alawi; Priyanto, Dadang; Sulistianingsih, Neny
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3868

Abstract

This study employs an Artificial Neural Network (ANN) to classify maternal health risk levels using 29 medical variables. The objective is to develop a predictive model capable of identifying low-risk and high-risk pregnancy conditions as an early detection tool to support maternal health services. The dataset, obtained from Puskesmas Selong, underwent preprocessing steps including normalization, One-Hot Encoding, and class balancing using the SMOTE technique. The ANN architecture consists of three hidden layers equipped with ReLU activation, Batch Normalization, and Dropout, while model optimization is performed using the Adam optimizer and Focal Loss to address class imbalance. The model was trained using a 70%-30% train test split and evaluated through accuracy, precision, recall, and F1-score. The experimental results indicate strong model performance, achieving 97% accuracy, 98% precision, 99% recall, and 98% F1-score for the low risk class, as well as 90% precision, 81% recall, and 85% F1-score for the high risk class. The trained model was subsequently integrated into a web-based application, allowing users to input maternal health data and obtain automated risk predictions. These findings demonstrate that ANN can serve as an effective approach for supporting early maternal risk identification within AI-based clinical decision support systems.
Klasifikasi Komentar Kasar pada TikTok Menggunakan TF-IDF dan Logistic Regression Anggraini, Delia; Wahyudin, Rahmat; Wicaksana, Agum; ., Zulpadli; Zulnun, M. Ridho Azmuddin; Furqan, Mhd
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3906

Abstract

The increasing intensity of user interaction on the TikTok platform makes the comment section vulnerable to the emergence of rude comments, impolite speech, and negative verbal expressions that can reduce the quality of digital communication. The characteristics of TikTok language, which is informal, concise, and rich in slang variations and non-standard spelling, present challenges in the process of automatically identifying rude comments, especially in the Indonesian context. This study aims to develop and evaluate a binary classification model capable of distinguishing rude and non-rude comments on the TikTok platform using a text-based machine learning approach. The research method began with the collection of 650 Indonesian-language public comments from TikTok, which were then manually annotated into two classes: rude and non-rude comments. The labeled data were processed through preprocessing stages including text cleaning, case folding, slang normalization, repeated character reduction, tokenization, and stopword removal. Feature representation was carried out using the Term Frequency–Inverse Document Frequency (TF-IDF) method with a combination of unigrams and bigrams, while the classification process used the Logistic Regression algorithm. The data were divided into training data and test data with a ratio of 80:20. The analysis techniques used included evaluating model performance using accuracy, precision, recall, and F1-score metrics. The results showed that the model achieved an accuracy of 87.4%, with precision, recall, and F1-score values ​​of 0.87 each, indicating good and balanced classification performance across both classes. These findings indicate that the combination of TF-IDF and Logistic Regression is effective as a baseline in classifying abusive Indonesian comments on the TikTok platform.
Analisis Penerapan TQM dengan Pendekatan Metode Servqual di PT. Kreasi Kotak Megah Hasibuan, Yetti Meuthia; Utama, Denny Walady; Amri, Khoirul
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3954

Abstract

Product quality is a crucial factor for companies to win the competition, both from an operational management and marketing perspective. PT Kreasi Kotak Megah Medan, a carton packaging manufacturer, faces a high level of product defects. The dominant types of defects occur in the printing and coloring processes, resulting in cost and time losses, and reduced production efficiency. Although the company has implemented Total Quality Management (TQM), production results indicate inconsistent product quality. This study aims to analyze the level of TQM implementation and formulate improvement proposals to enhance product quality. The Servqual method is used to identify gaps between expectations and performance of quality management implementation and to determine improvement priorities. The results are expected to provide an overview of the effectiveness of TQM implementation and recommendations for improvements that can improve product quality and minimize the defect rate at PT Kreasi Kotak Megah Medan.
Rancang Bangun Trainer Pengendalian Kecepatan Motor Listrik Menggunakan Inverter VFD (Variable Frequency Drive) Fatma, Mira Wellya; Saputra, Georgi Beni; Arnella, Ami Juwita
Jurnal Sains dan Teknologi (JSIT) Vol. 6 No. 1 (2026): Januari - April
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v6i1.3965

Abstract

The lack of safe, integrated, and adequate VFD learning media in vocational education laboratories creates a significant gap between theoretical understanding and practical competence in induction motor control. This study aims to design, construct, and test a three-phase induction motor speed control trainer based on a VFD inverter suitable for Power Electronics practicum. The research employs a Research and Development approach grounded in experimental engineering, encompassing system design (block diagram, flowchart, wiring diagram), physical construction on a transparent acrylic panel equipped with MCB, contactor, push buttons, AT1 1.5 kW VFD, and 1 HP motor, and empirical testing across eight frequency points from 0 to 65 Hz under no-load conditions. Response variables include motor speed (RPM), phase current, phase voltage, and PWM output waveform. Results show a strong linear relationship between frequency and motor speed (R² = 0.998), with 3000 RPM achieved at 50 Hz consistent with synchronous speed theory. Operating current remains stable (0.26-0.36 A), the protection system functions fully, and the output waveform exhibits representative PWM characteristics. The trainer is proven to meet both technical and pedagogical feasibility criteria as an integrated learning medium that combines active safety, transparent visualization, and multivariable validation.

Page 20 of 22 | Total Record : 215

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