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Journal of Applied Science, Engineering, Technology, and Education

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Published by PT. Mattawang Mediatama Solution

ISSN : - EISSN : 26850591 DOI : https://doi.org/10.35877/454RI.asci1116

Core Subject : Science, Education, Engineering,

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and engineering.

Arjuna Subject : Umum - Umum

Articles 285 Documents

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Analysis of the Factors Causing Delay in Pile Foundation Work for Medium-Story Building Project Rofi Henindia; Suroso, Agus
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Pile work in building construction is generally the first substructure/lower structure construction to be carried out. This is very important to note because delays in execution time at the beginning of the work will have a domino effect on increasing project costs. This study aims to analyze factors that cause delays in pile work (Xi) and on-time performance (Y) in constructing medium-rise buildings in the Jabodetabek area. This study uses the Multiple Linear Regression Analysis Method, with the data and information used are respondents' perceptions through questionnaires and statistically analyzed using the SPSS version 25 program. Simultaneously/together, Design/Planning Factors (X1), Work Implementation Factors (X2), Material Factor (X3), Equipment Factor (X4), and Soil Condition Factor (X8) have an influence contribution of 69% to the Time Performance of pile work in medium-rise building construction projects (Y). While the most dominant factor influencing the cause of delays in pile work in medium-rise building construction projects (Y) is the Soil Condition Factor (X8).

The Use of Asynchronous Google Classroom with Video Teaching Tutorial on Improving Student Writing Achievement for Recount Text at Public Senior High School 6 Kendari Nggawu, La Ode; Alam, R.
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

This study aims to investigate how effective asynchronous Google classroom with VTT on improving students' writing achievement for recount text at SMAN 6 Kendari used quantitative design with pre-experimental one group pre-test and post-test. The research population was 346 entire school who registered in academic year 2020/2021. Meanwhile, XI MIPA 3 were 28 students as a valid sample of this study. Sampling selected using simple cluster random. Data collection used a written test that analyst by paired sample t-test that shows descriptive and inferential statistics based on students pre-and post-test. The research finding shows that there was significant different in gain score for pre-test (M=62,50; SD= 5.853) and Post-test (M=80.1071; SD=5.09422), t (27) = 13.095; p < 0.05, ttable= 2.052. It shows t-count > t-table with sig α < 0.05, H0 is rejected and H1 is accepted, so it can be concluded that using asynchronous google classroom with video teaching tutorial show a positive effect on student writing achievement for recount text at SMAN 6 Kendari.

Decision Support System (SPK) for Selection of New Student Admissions and Majors Using Simple Additive Weigthing (SAW) and Fuzzy Tsukomoto at SMA Negeri 1 Kalirejo Sulastri, Sulastri
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci911

Decision support system (DSS) is an information system that helps managers with unique strategic decisions (non-recurring) or a system that provides a means that allows managers to develop information so that it is appropriate to support the decisions they will make. In this study, the SAW method was used to select student admissions and the Fuzzy Tsukamoto method was used to specialize students. This research is to select and organize specializations so that the school can easily select students and students are not wrong in organizing specializations. The results of the student selection test using the SAW method selected 281 students from 325 students who registered and by using the Fuzzy Tsukamoto method there were 19 students who were wrong in determining the majors of the 281 selected students.

Corn Cob Absorption Rate As Acoustic Material Sidharta, Melissa; Sudarsono, Anugrah Sabdono; Hariyanto, Agus Dwi; Arifin, Liliany Sigit
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Reducing CO2 emission through innovation discovery is essential to respond to the global warming issue. The research states that construction material contributes 11% of CO2 emission on building. Agricultural waste in Indonesia is plentiful, but it has not been used optimally, one of examples is corncob waste. The study to theoretically identify the absorption level on acoustic panel of corncob waste using two kinds of panel thickness dimensions composed of natural corncob through literature study and laboratory test of impedance tube by identifying the absorption panel coefficient phenomenon of corncob waste. The physical characteristic of corncob is porous, and this study found that there was a good absorption level in two dimensions of panel thickness of 3 cm and 5 cm. It was strengthened by the finding of a frequency shift phenomenon of two dimensions of panel thickness due to resonance in air cavity/gap among corncobs.

Inhibitory Test of Bay Leaf (Eugenia polyantha) Extract Against Pseudomonas aeruginosa and Escherichia coli Haerussana, Ayu Nala El Muna; Dwiastuti, Wulan Putri; Sukowati, Cindi Arwan; Widyastiwi, Widyastiwi
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Bay leaf has traditionally been used by Indonesians as a cooking spice and for disease treatment. Bay leaves contain secondary metabolites that are known to have antibacterial properties. The secondary metabolites produced are influenced by several factors, including the growth area and the extraction solvent. The main causative bacteria in nosocomial infections are Pseudomonas aeruginosa and Escherichia coli. This study aimed to evaluate the antibacterial activity of bay leaf extract against the two gram-negative bacteria. The maceration method and 70% ethanol were used to extract bay leaves. The antibacterial activity was evaluated using the disc diffusion method. The extract exhibits the widest zone of inhibition (11.91±0,84 mm) at 100% of concentration against Pseudomonas aeruginosa. The extract showed antibacterial activity against Pseudomonas aeruginosa but not against Escherichia coli.

Coffee Grind Size Detection By Using Convolutional Neural Network (CNN) Architecture Franky Leonard; Akbar, Habibullah
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Identification of coffee grinder results is one of the needs to support the government and coffee shop UMKM to innovate coffee drink products. Special expertise and sufficient time are needed to process the identification of coffee grinder results in the laboratory. Several previous research methodologies, the process of identifying the results of coffee grinders is still manual with human visuals. While the use of a computer system is obtained from cross-sectional images of coffee grounds using microscopic and macroscopic processes. Currently, computer vision and machine learning technologies have been developed to identify various types of objects, one of which is coffee objects. This study contributes in classifying several classifications of coffee grinder results using Convolutional Neural Networks (CNN). The novelty of this research lies in improvising the optimal CNN parameters in detecting objects from a coffee grinder. The proposed AlexNet architecture has seven layers, namely three convolution layers, two max-pooling layers and two Hidden Layers for the five characters of the coffee grinder image dataset.dataset private resulting from a coffee grinder of 1039 items and an augmentation process to make it more optimal and prevent overfitting , the test first changes the input image to 50 x 50, 100 x 100, and 150 x 150 pixels and each repeats at 250 epochs. The experimental results show that AlexNet with parameters batchsize 8, Learning Rate 0.001, Optimizer SGD, training and splitting data ratio 0.6:0.4 and balanced data typehasan accuracy validation value reaching 95%.

Risk Management Analysis in Tobacco Supply Chain Using the House of Risk Method Rini Oktavera; Kurniawan, Moch. Rosi; Saraswati, Rahayu; Sutejo, Bambang
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Many risks affect the smooth flow of the supply chain, thereby necessitating numerous efforts to improve supply chain management by preventing and resolving these occurrences. Therefore, the purpose of this research was to determine the sources of possible and priority risks in the tobacco supply chain in Probolinggo Regency and design appropriate priority management strategies. This research investigated the flow of the tobacco supply chain and identified various possible risks using the Failure Modes and Effect Analysis (FMEA) method, which analyzes the impact or severity and chance of occurrence. A risk event was conducted in the plan and source process to determine the type of risk and identify the priority agents that can be reduced by the House of risk (HOR) approach. Subsequently, this research obtained 11 risk events and 20 agents, including 4 priorities for handling, alongside 4 coping strategies designed to address and reduce possible sources of risk in the tobacco supply chain

RETRACTED: Water Tower Conservation and Sriwijaya University Law Efficiency Based on Indonesian Green Building Certification Indriyati, Citra; Izzah, Saniatul
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

This article has been retracted: please see ASCI Policy on Article Withdrawal (https://ascijournal.eu/index.php/asci/plagiarism). This paper is retracted at the request of the Authors.

Consistent Distribution of Irrigation Water on Vertical Gardens (With Water As Content Sample) Daud, Arifin; Indriyati, Citra; Sari, Julia Indah
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

As the population increases and infrastructure development continues to increase, the need for green open space is decreasing. A vertical garden is an efficient solution with a vertically modern garden concept that the functions of green open spaces can be fulfilled. The irrigation system in a vertical garden gives a major role because plants can be grown well if they have a great irrigation system. Drip irrigation is one type of irrigation system that is widely applied and the best method that has been used in the world because it is considered more efficient with a small discharge, can reduce runoff, and can reduce water loss due to evaporation. This study aims to analyze the uniform of water distribution in the drip irrigation system and the average variation of water distribution in the row and column direction using a statistical test with Kruskal-Wallis. Based on the statistical analysis, it is obtained the coefficient of variation (Cv) of 0.27, the uniformity statistic (Us) of 73.2%, and the coefficient of uniformity (Uc) of 71.7% which means that the three parameters are categorized as good and acceptable while for statistical tests Kruskal-Wallis has a difference in the average variation of water distribution for the row and column groups.

The Effect of Ice Breaking And Video Making Activities in Non-Classical Learning Models on Literacy Ability of Students Hariyadi, Eko; Azzajjad, Muhammad Fath; Ahmar, Dewi Satria
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Education is a measure of student success, but the emergency that occurred during the COVID-19 pandemic affected many activities, one of which is the lecture process until now, the lecture process that previously used classical learning turned into non-classical ( distance learning) or known as online model. Ice breaking activity is an activity to dilute the learning atmosphere and increase student motivation, with ice breaking students who feel bored and overwhelmed by feelings of tension become more lively and interactive. The non-classical learning model used in this study is a problem solving collaborative learning model with treatment assignments for making learning material videos which are expected to make it easier to find knowledge in teaching materials. The purpose of this study was to determine the effect of ice breaking and making video activities in non-classical learning models on the literacy skills of the Geography Education Study Program students of USN Kolaka. the results of the independent sample t-test, the information on the value of Sig. (2-tailed) < 0.05 then H0 is rejected and H1 is accepted, meaning that there is an effect of ice breaking and Making Video activities in non-classical learning models on students' literacy skills.

Page 19 of 29 | Total Record : 285

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