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Contact Name
Aulia Fitrul Hadi
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INDONESIA
Jurnal Ipteks Terapan : research of applied science and education
ISSN : 19799292     EISSN : 24605611     DOI : https://doi.org/10.22216/
The journal focuses on publishing unpublished original research results anywhere such as: the research result on applied science and education such as: curriculum development and learning, character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
Articles 359 Documents
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (221.888 KB) | DOI: 10.22216/jit.v14i3.94

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.311 KB) | DOI: 10.22216/jit.v14i3.95

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.392 KB) | DOI: 10.22216/jit.v14i3.98

Abstract

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 (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.22 KB) | DOI: 10.22216/jit.v14i3.99

Abstract

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 (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.288 KB) | DOI: 10.22216/jit.v14i3.100

Abstract

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
CUSTOMER RELATIONSHIP MANAGEMENT CONCEPT IN BUILDING BRANDING LAUAK BADA BUSINESS AT MANDEH TOURISM AREA Radius Prawiro; Novi Trisna; Annisak Izzaty Jamhur
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.678 KB) | DOI: 10.22216/jit.v14i3.101

Abstract

The concept of CRM is a concept aimed at establishing a good relationship with the customer. The concept ofCRM appears based on the paradigm that sellers should be able to maintain the loyalty of consumers who buytheir products. The business strategies found in the CRM concept aims to increase customer satisfaction so that itcan improve consumer loyalty. In this era of digital and globalization nowadays, where information is soaccessible and enjoyed by all circles using the application Pika CRM is very helpful business people inmarketing their products, a strong brand can make it very easy to know and sell to consumers because brandingor brand users feel so very important to have. Many companies and independent business units currently dependon the brand to market the products they produce so that they can sell easily with a brand that is already knownto the community. One of the growing business units currently is a business unit of the side dish of the Mandeharea of West Sumatra's south coast. Therefore, the important role of good and interesting branding is necessaryto increase the sales of the Mandeh area side dishes at a higher price
CHATBOT IMPLEMENTATION TO SUPPORT MOBILE LEARNING DURING NCOVID19 PANDEMIC Putri Sakinah; Yaya Heryadi
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.874 KB) | DOI: 10.22216/jit.v14i3.102

Abstract

This paper presents the results of chatbot implementation to support mobile learning in higher education. Thegoal of the chatbot implementation in this study, among others, is to address high interest of higher educationin Indonesia toward online learning support mainly during the resent NCOVID19 pandemic in which most oflearning process are implemented using online learning mode. The proposed chatbot prototype has been testedin the University of Andalas, Sumatera, Indonesia. The chatbot is designed using standard softwareengineering method and implemented using Android-based mobile application flatform. Respondents for thechatbot evaluation are chosen based on purposive random sampling among students of Department ofSociology as sampling population. The data collecting is implemented using survey method with selfadministered questionnaires. The overall evaluation results showed that the designed and implementation hasmet the students’ expectation. Interestingly most of the respondents showed their interest to use the chatbot
EFFECT OF EARNING PER SHARE, CURRENT RATIO, DEBT TO l EQUITY RATIO IN PREDICTING FINANCIAL DISTRESS IN MINING COMPANIESl Sri Ratnasari Harita; Wirda Lilia
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.107 KB) | DOI: 10.22216/jit.v14i3.103

Abstract

This study aims to determine and test the effect of partial or simultaneous Earning Per Share, Current Ratio, andDebt to Equity Ratio on Financial Distress in Mining Companies Listed on the Indonesia Stock Exchange. Thesampling technique uses purposive sampling technique, amounting to 14 companies with 4 years of observation.(four) years and data obtained from the financial statements of Mining Companies Listed on the Indonesia StockExchange at www.idx.co.id. The data analysis method used multiple linear regression analysis. Based on theresearch results, it is found that partially and simultaneously Earning Per Share, Current Ratio, and Debt toEquity Ratio have a significant effect on Financial Distress in Mining Companies Listed on the Indonesia StockExchange. The effect of Earning Per Share, Current Ratio, and Debt to Equity Ratio on Financial Distress inMining Companies Listed on the Indonesia Stock Exchange is 53.9%
DEVELOPMENT OF E-FASHION DIGITAL MARKETING APPLICATION FOR THE CREATIVE FASHION INDUSTRY WEST SUMATERA Abulwafa Muhammad; Dhio Saputra
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.336 KB) | DOI: 10.22216/jit.v14i3.104

Abstract

This research was conducted to determine the digital marketing needs of fashion industryproducts in the province of West Sumatra. Conducting needs analysis based on currentmarketing conditions of the fashion industry products provides direction for thedevelopment of digital marketing applications that are needed. The analysis in this studyuses a data mining algorithm and will produce an integrated digital marketing applicationfor fashion industry players in West Sumatra. So that the fashion industry has a containerbased on digital marketing to accommodate all products and market it. This will providegreater opportunities for these fashion products to be known by the community and willincrease the pattern of product marketing.
THE EFFECTIVITY OF E-BRANDING IMPLEMENTATION WITH CRM CONCEPT ON INCREASED SALES AT CATERING BUSINESS IN PADANG CITY Mutiana Pratiwi; Ulya Ilhami Arsyah
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.464 KB) | DOI: 10.22216/jit.v14i3.105

Abstract

Micro, small and medium enterprises are a business sector that is very helpful in various aspects of theIndonesian economy. In the city of Padang has various types of SME businesses. One of them is Catering. Thedevelopment of the catering business in this city is very rapid because of the many people's interest in usingthese services. As a result, there was competition between businesses that showed a significant impact on thecatering business so that each of these businesses had to be able to create their own market by creating a brandfor their catering business. This research was conducted to determine the effectiveness of the implementation ofe-branding UKM Catering Padang City with the concept of CRM (Customer Relationship Management) toincrease sales. The results of this study are the determination of the effectiveness of e-branding that has beencarried out on the level of marketing and income obtained by SMEs, which have benefits as a form ofactualization of the character of the UKM Catering business and to support marketing so that sales increase andincrease competitiveness appears. The method used is Customer Relationship Management (CRM).

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