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Jurnal Ipteks Terapan : research of applied science and education

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Published by Lembaga Layanan Pendidikan Tinggi Wilayah X

ISSN : 19799292 EISSN : 24605611 DOI : https://doi.org/10.22216/

Core Subject : Economy, Health, Science, Education, Agriculture, Art, Engineering,

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary Other

The journal focuses on publishing unpublished original research results anywhere such as: the research result on applied science and education such as: curriculum development and learning, character education, technology and instructional innovation, and learning evaluation. the research result on applied science and technolgy suh as: the development of applied technology and applied arts, appropriate technology, designing information systems, the research result on applied science and economic development the research result on applied science and public health

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 359 Documents

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META ANALYSIS: EFFECTIVENESS OF GOOGLE CLASSROOM, MOODLE IN BLENDED LEARNING AS VOCATIONAL LEARNING MEDIA IN INDONESIA adi andikos
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 1 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The purpose of this research is to find out the effectiveness of blended learning on the google classroom platform and moodle as a medium of vocational school in Indonesia. The effectiveness assessment is examined from several previous findings or studies. This research uses meta-analysis methods, in accordance with the application of research topics, and conducts research on several research journals taken purposively or directedly. The research journal used is in the last five years (2015-2020) derived from a google scholar database of 16 journals. Analysis of the data used is qualitatively descriptive. From the meta analysis done shows that the objectives that are often studied are impact or influence and or effectiveness 56%, the most commonly used design is the experiment 63%, the most commonly used data analysis is observation by 53%. Data analysis that is often done by research is t-test 50%. In SMK google classroom platform is used more often 81% than moodle platform 19%, and blended learning research through google classroom platform, moodle is more effective to improve learning results by 65%. Meta analysis of student learning outcomes, motivation and self-reliance were the most frequently reviewed from the 16 journals.

IMPLEMENTATION OF THE MODIFIED K-NEAREST NEIGHBOR METHOD FOR CLASSIFICATION OF MAJORS CONCENTRATION SELECTION IN LEARNING Yuda Irawan; Uci Rahmalisa; Refni Wahyuni; Herianto
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 2 (2021): Vol. 15 No. 2 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Department of Communication studies UIN SUSKA Riau, Indonesia currently applies the selected of interest (concentration) to students aimed at directed stu-dents to more focus on certain courses based on their interests and academic abili-ties. The concentration that exist in the Department of Communication stuides are public relations, broadcasting and journalistic. Determination of concentration se-lection is carried out by the head of the department. However, to select the right concentration for students, Department have several problems in selection the concentration process. This is because students’ data and value of courses must be classified first, then by conducting an interview to determine the level of stu-dent interest. So that with this process requires a long time. For this reason, a system that can help the selection process of concentration is needed. In the datamining, there is a classification to allow users to group data based on their class. In this study classification will used the Modified K-Nearest Neighbor (MKNN) algorithm. In this study, the parameters used are the values of 6 courses namely introduction to public relations, introduction to journalism, the basics of broadcasting, news writing, mass communication and advertising and the interest of the students concerned. The test was carried out on a concentration classifica-tion system that had been built using confusion matrix. Confusion matrix results obtained are the highest accuracy in the 90% data training scenario and 10% data test with k = 2 and k = 3 values that is equal to 78.08%.

USE OF PHOTO EDIT APPLICATION WITH STUDENTS 'BODY IMAGE Eka Malfasari; Heny Aprilyanti; Yeni Devita; Rina Herniyanti; Ifon Driposwana Putra
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Body image is an attitude or the conscious and unconscious way a person perceives his body. Editing is the process of organizing, reviewing, selecting, and arranging images and sound from a production recording. This study aims to determine the relationship between the use of photo editing applications and body image among students at STIKes Payung Negeri Pekanbaru. This research method is a quantitative study using a correlation study design and aapproach Cross Sectional Study. This research was conducted at STIKes Payung Negeri Pekanbaru. The sample of this study was 352 respondents using stratified random sampling technique. The instrument used for the variable use of photo editing applications was a guttman scale and for body image variables a Likert scale. The results showed that 65.9% of respondents used photo editing applications and 53.4% of respondents with negative body image. The results of the analysis on 352 respondents obtained a p value of 0.01 <α, namely 0.05 and an OR value of 1.851. It can be concluded that there is a relationship between the use of photo editing applications and body image in students at STIKes Payung Negeri Pekanbaru. Researchers recommend for future researchers to identify what are the bad effects of using photo editing applications on psychological reactions

AN ANALYSIS OF COMPENSATION AND COMPETENCE EFFECTS TOWARDS LECTURER PERFORMANCE AT STMIK ROYAL KISARAN Pristiyanilicia Putri; Havid Syafwan; Febri Dristyan
Jurnal Ipteks Terapan Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The purpose of this research is to analyze the effect of compensation and competence partially andsimultaneously on the lecturer’s performance of STMIK Royal Kisaran in Asahan Regency, NorthSumatera. The population of this research was all regular (permanent) lecturers at STMIK Royaltotally of 90 people where data collection was carried out by distributing questionnaires and interviewsto those permanent lecturers. The quantitative method was used in this study, while the analyticalmethod used was multiple regression analysis by performing the F test and t test where the data isprocessed using SPSS software. From the results of multiple regression analysis the equation Y = 8.032+ 0.181X1 + 0.339X2 is obtained. Partially and simultaneously the compensation and competencevariables affect the performance variables of lecturers at STMIK Royal Kisaran.

THE EFFECT OF COMMUNICATION, WORK DISCIPLINE, AND MOTIVATION ON EMPLOYEE JOB SATISFACTION AT PT. JAYA ANUGRAH SUKSES ABADI MEDAN (CASE STUDY AT BRASTAGI SUPERMARKET, CAMBRIDGE BRANCH) Widya Sari; Micheal Chandra; Nadia Tamara; Junianti Theodora; Tahnia -; Kevin -
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

PT. Jaya Anugrah Sukses Abadi Medan is a retail company, which sells community staples andother equipment. This company has been around for 14 years. Problems in PT. Jaya AnugrahSukses Abadi Medan lies in employee job satisfaction, where some employees feel less satisfiedcarrying out tasks in the company related to Communication, Work Discipline, and Motivation.Theories used to support this study were related to Human Resource Management closely related toCommunication, Work Discipline, Motivation, and Job Satisfaction. Quantitative descriptiveresearch type was employed as the research method of this study. The nature of this study wasdescriptive explanatory. The data collection technique carried out by using questionnaires,interviews, and documentation studies. The obtained data were then analyzed using multiple linearregressions. From the research population of 103 company employees with 30 people were chosenfor the validity test. The analysis found tcount values on the communication of 2.831, work disciplineof 2.962, motivation of 2.059, and Fcount of 6.816. The results indicate that the coefficient ofdetermination was 14.6%. It can be concluded that simultaneously and partially communication,work discipline, and motivation had a significant and positive influence on job satisfaction at PT.Jaya Anugrah Sukses Abadi Medan

THE EFFECT OF ASSET STRUCTURE, COMPANY SIZE AND PROFITABILITY ON CAPITAL STRUCTURE IN BASIC AND CHEMICAL INDUSTRY SUB-SECTOR MANUFACTURING COMPANIES LISTED ON IDX 2014-2017 PERIOD Tabita Octaria Simanjuntak; Rosdiana Febrina Sari Siregar; Dina Wati Simbolon; Mohd. Nawi Purba
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The purpose of this study is to test and determine the results of the effect of asset structure, company size andprofitability on capital structure in basic industrial and chemical sub-sector companies listed on the Indonesia StockExchange for the period 2014-2017. In this research, the method used is the quantitative approach method withdescriptive research type and the nature of the research is descriptive explanatory, the data is taken indirectlythrough the website www.idx.co.id. Where the population used is 64 companies resulting in 22 sample companiesusing purposive sampling technique based on certain criteria. The data analysis method used is multiple linearregression analysis. So that the results of the research that has been done on the hypothesis show that partially theAsset Structure and Company Size have no and insignificant effect on Capital Structure, and Profitability has anegative and significant effect on Capital Structure and simultaneously that the three variables have a positive effecton Capital Structure with the coefficient determination of 19.1%.

THE APPLICATION OF TRIDIAGONAL MATRIX ALGORITHM IN CUBIC SPLINE INTERPOLATION Elvathna Syafwan; EfendI -; Narwen -; Mahdhivan Syafwan
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Tridiagonal matrix algorithm is known to be more efficient in the computational process than theGaussian elimination method in solving linear system problems involving tridiagonal matrices. Inthis paper, the tridiagonal matrix algorithm is applied to the cubic spline interpolation problem withnatural boundary conditions. In this case, the tridiagonal matrix algorithm plays a role in findingthe second derivative of each cubic spline sub-function so that it is more efficient in obtaining thecoefficients of the third order polynomials that form the cubic spline function

ANALISIS VARIATION K-FOLD CROSS VALIDATION ON CLASSIFICATION DATA METHOD K-NEAREST NEIGHBOR Ridha Maya Faza Lubis; Zakarias Situmorang; Rika Rosnelly
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

To produce a data classification that has data accuracy or similarity in proximity of a measurement result to the actual numbers or data, testing can be done based on accuracy with test data parameters and training data determined by Cross Validation. Therefore data accuracy is very influential on the final result of data classification because when data accuracy is inaccurate it will affect the percentage of test data grouping and training data. Whereas in the K-Nearest Neighbor method there is no division of training data and test data. For this reason, researchers analyzed the determination of training data and test data using the Cross validation algorithm and K-Nearest Neighbor in data classification. The results of the study are based on the results of the evaluation of the Cross Validation algorithm on the effect of the number of K in the K-nearest Neighbor classification of data. The author tests using variations in the value of K K-Nearest Neighbor 3,4,5,6,7,8,9. While the training and test data distribution using Cross validation uses variations in the number of K-Fold 1,2,3,4,5,6,7,8,9,10

COMPARATIVE OF ID3 AND NAIVE BAYES IN PREDICTID INDICATORS OF HOUSE WORTHINESS Ade Clinton Sitepu; Wanayumini -; Zakarias Situmorang
Jurnal Ipteks Terapan Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Decision making is method of solving problems using certain way / techniques so that can beaccepted. After making some calculations and considerations through several stages, the decisionhave taken that decision maker goes through. This stage will be selected until the best decision hasmade. Decision-making aims to solve problems that solve problems so that decisions with finalgoals can be implemented properly and effectively. This study uses a simulation of decision makingfrom seven attributes to the proportion of the feasibility of a house based on data from CentralStatistics Agency (BPS). There are several techniques for presenting decision making including: ID3(decision tree) algorithm concept and Naïve Bayes algorithm. Both classification are learningsuperviseddata grouping. ID3 algorithm depicts the relationship in the form of a tree diagramwhereas Naïve Bayes makes use of probability calculations and statistics. As a result, in datatraining, decision trees are able to model decision making more accurately. The prediction resultsusing the decision tree model = 90.90%, while Naïve Bayes = 72.73%. Meanwhile, the speed of theNaive Bayes algorithm is better

COMPARISON BETWEEN APRIORI AND FP-GROWTH ALGORITHMS ON INVENTORY MODEL OF ITEM AVAILABILITY Radhiatul Husna; Yomei Hendra; Muhammad Imam Akbar
Jurnal Ipteks Terapan Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

In this study, it will be discussed the comparison between apriori and fp-growth algorithms on aninventory model of item availability. The research about this topic becomes important and interestingto be studied because it illustrates the implementation of applied mathematics by constructing thematematical model, namely an inventory model of item availability. Then, the model will be solved byusing apriori and fp-growth algorthms related to the application of probability theory. In this case,apriori and fp-growth algorithms are used to specifythe pattern of dependency relationships between an item and other items so that the probability ofitem purchase based on other goods can be discovered. Moreover, the number of items which shouldbe provided by a seller in a shop or a supermarket can be calculated. In order to figure out the outputof this research which is the analysis of the comparison between apriori and fp-growth algorithms onthe inventory model of item availbility, then choosing and categorizing kinds of items based on thesales, using the apriori and fp-growth algorithms, constructing the model, solving and interpreting itare established

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Aulia Fitrul Hadi

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fitrulh@gmail.com

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+6282386567112

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jit.lldikti10@gmail.com

Editorial Address
Jl. Khatib Sulaiman No 1 Kota Padang. Kode Pos 25144. Telp 0751-7056737. Fax 0751-7056737

Location
Kota padang,

Sumatera barat

INDONESIA

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Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Aulia Fitrul Hadi

Contact Email fitrulh@gmail.com

Phone +6282386567112

Journal Mail Official jit.lldikti10@gmail.com

Editorial Address Jl. Khatib Sulaiman No 1 Kota Padang. Kode Pos 25144. Telp 0751-7056737. Fax 0751-7056737

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Aulia Fitrul Hadi

Contact Email
fitrulh@gmail.com

Phone
+6282386567112

Journal Mail Official
jit.lldikti10@gmail.com

Editorial Address
Jl. Khatib Sulaiman No 1 Kota Padang. Kode Pos 25144. Telp 0751-7056737. Fax 0751-7056737

Location
Kota padang,

Sumatera barat

INDONESIA