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Journal of Applied Science, Engineering, Technology, and Education

asci
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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 18 Documents

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Search results for , issue "Vol. 4 No. 1 (2022)" : 18 Documents clear

Information System Audit Using Framework Control Objectives for Information and Related Technology (Cobit) on Values Processing Application for Online Student at Senior High School 14 of Bandar Lampung (SMA Negeri 14 Bandar Lampung) Siti Zakiah
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

Senior High School 14 of BANDAR LAMPUNG is one of the Secondary Education that applies the use of information technology into the academic information system. The Secondary Education strategy plan in the development of information systems has not gone through the information system audit process so that the planning of the information system is not in line with the needs of the expected business process. To overcome this, it is necessary to have an academic information system audit to see the maturity level so as to produce an audit report that can be used as a recommendation in planning an academic information system in the future. An information system audit was conducted using the COBIT 4.1 framework on the DS11 domain. Data collection techniques through observation, interviews and questionnaires. The questionnaire used is a maturity level questionnaire while the maturity level questionnaire is used to measure the level of maturity of the information system for the current condition (as is) and the expected condition (to be). The results of the study concluded that the detailed control objective performance obtained from the expected maturity level (to be) questionnaire in the DS11 process as a whole was at level 4 or managed and measurable. Recommendations for planning solutions towards the expected level of maturity are carried out by defining remedial actions on the attributes of AC, PSP, TA, SE, RA and GSM

Selection Platform Music Service Cloud with Simple Multi-Attribute Rating Technique – User Service Application (SMART ALP) Rizki Bagaswara Putra; Bambang Setiawan
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

SMART is a popular Multi-Criteria Decision Making (MCDM) method that helps make accurate decisions to solve problems and choose the best decision using a linear additive model to generate values for various alternatives. The SMART ALP used in this study is a development of the SMART method by providing three additional dimensions, application, service, and user, to emphasize the correlation with the corridors of the cloud music service platform. The object of research: (1) Apple Music, (2) Deezer, (3) iHeartRadio, (4) JOOX, (5) Melon, (6) NetEase Cloud Music, (7) Qobuz, (8) SoundCloud, (9) Spotify, (10) Tidal, (11) TuneIn, and (12) YouTube Music. Convenience criteria and playlist management with 60.4% (29 of 48 respondents) and 58.3% (28 of 48 respondents) responses, respectively. Performance criteria and simplicity with 66.7% (32 of 48 respondents) and 68.8% (33 of 48 respondents) responses, respectively. Music quality criteria with an answer of 93.8% (45 out of 48 respondents). The study results show that Spotify, YouTube Music, Joox, Apple Music, and SoundCloud are the five best cloud music service platforms with a total score of 8422 points, respectively, YouTube Music 6483 points, and Joox 3824 points, Apple Music 2039 points, and SoundCloud 1275. Points.

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

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 La Ode Nggawu; R Alam
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

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.

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

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.

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

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%.

Bibliometric Analysis of “Statistics: A Journal of Theoretical and Applied Statistics” on 1985-2021 Period Ansari Saleh Ahmar; Miguel Botto-Tobar; Abdul Rahman; Angela Diaz Cadena; R. Rusli; Rahmat Hidayat
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

This study is a quantitative research using bibliometric analysis. This study aimed to find out more detail about the “Statistics: A Journal of Theoretical and Applied Statistics” or SJTAS which was published during 1985-2021. This was seen from the topic of study, country productivity, author contributions, and analysis of their citation. The data in this study were taken from the Scopus database using keywords: (ISSN(0233-1888) OR ISSN(1029-4910)). The results obtained from the Scopus database are 1.798 documents. The average article citation fluctuates annually and the highest article citation is in 2018. Keywords from articles published in the SJTAS are dominated by topics: order statistics (55 articles), asymptotic normality (43 articles), bootstrap (33 articles), exponential distribution (32 articles), and consistency (31 articles).

The Improvement of Productivity to Increase Company Competitiveness in PT. X Binjai Kimberly Febrina Kodrat
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

Productivity is a measurement of the ability for an input in resulting of an output. The productivity for a company is an important element that can create the effectiveness, efficiency, and quality for its operational activities. This research is aimed to design a developmental system of productivity and improvement of productivity which can be applied by the company in increasing the competitiveness. Its methodology used is explanatory research. The productivity is made by measuring data of manpower, material, energy, and capital. The model of productivity improvement is using employee base technique. The research shows that the productivity index of manpower, material, energy and capital is fluctuated. In running the activity of productivity process, there is still inefficiency in distributing the manpower, material, energy, and capital for the company

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Contact Name
Ansari Saleh Ahmar

Contact Email
journal@ahmar.id

Phone
-

Journal Mail Official
journal@ahmar.id

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http://jurnal.ahmar.id/index.php/asci/about/editorialTeam

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