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INDONESIA
Tech-E
Published by Universitas Buddhi Dharma
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Tech-E dikembangkan dengan tujuan menampung karya ilmiah Dosen dan Mahasiswa, baik hasil tulisan ilmiah maupun penelitian yang berupa hasil studi kepustakaan.
Arjuna Subject : -
Articles 116 Documents
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The Stocks Saving Simulation based on Historical Data Web-based Mesakh Septiadi Simijaya; Aditiya Hermawan
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.622

Abstract

This study aims to simulate the calculation of saving stocks based on historical data for the past 10 years for the period January 2010 - January 2020, because saving simulations based on historical data are still very rare, so a simulation application for saving stock calculations based on historical data is made that can help customers. investors in simulating the calculation of saving stocks so that it can be used as learning to determine how to save the right way that can produce a good return. This application is created using a waterfall model. From the application made, it is expected to know the good return results of the 10 issuers used in this study, and in making basic applications on user requirements obtained through several respondents through online questionnaires and processed with requirement elicitation techniques. With the application of a stock saving calculation simulation application, it is hoped that it can be a lesson for investors in saving stocks and can also be a lesson for potential investors and can also make it easier for investors to do calculations because the calculation process is computerized.
Comparison of Seven Machine Learning Algorithms in the Classification of Public Opinion Sri Redjeki; Setyawan Widyarto
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.1046

Abstract

Sentiment analysis is one way that is widely used to identify the beginning of public opinion in various fields of life which are associated with very massive and a lot of information through social media. This study aims to compare several algorithms in machine learning to see the best ability in sentiment classification. The research dataset uses a dataset of public opinion related to tourism in Indonesia. The number of datasets used is 10,228 twitter data that have been cleaned and labelled. The machine learning algorithm used is Logistic Regression, KNN, AdaBoost, Decision Tree, SVM, Random Forest and Gaussian. The seven algorithms for sentiment classification from the Twitter public opinion each produce a Gaussian accuracy of 0.52; SVM 0.78; KNN 0.98; Logistic Regression, Random Forest, Decision Tree, AdaBoost of 0.99. This study shows that the selection of the right machine learning algorithm will have a very good impact on the classification of public opinion through social media
Perancangan Wifi cerdas untuk destinasi wisata yang terintegrasi di wisata cerdas Ruci Meiyanti; Muhammad Yusuf Bagus Rasyiidin; Fachroni Arbi Murad; Riri Fajriah
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.766

Abstract

The use of public wireless networks and not integrated between tourist destinations is an obstacle for visitors when moving to other tourist destinations. This is an obstacle to internet access in the tourism era 4.0. To overcome this, smart wifi is needed. Smart wifi is an integrated internet network access among other tourist destinations so as to expand the connectivity and interaction of tourist visitors. This study used the NDLC method. The result of this research was the design of smart wifi which was built on a wireless network with captive portal technology and barcode scanning. Smart wifi contributes to the development of digitalization in smart tourism, making it easier for visitors to get internet access in various tourist destinations.
Integrating Analysis of Quality Management of Higher Education: Analytical Hierarchy Process and Multiple Linear Regression Satria Abadi; Citrawati Jatiningrum; Samsurijal Hasan; Riki Riki
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i2.1114

Abstract

The study focus on to determine factors of the quality management on the higher education and analysis the effect of important factors of quality management. Factors of quality management in this study which covering of human resources, facilities and infrastructure, leadership, and organization. Sample study using students from several private universities in Lampung Province. Analysis method using integrating analysis by Analytical Hirarchy Method (AHP) and Multiple Regression Linear (MLR). Correlation test using the product moment stated quality management of higher education have a strong relationship to human resources, has a moderate relationship with infrastructures, and a weak relationship to the leadership and organizing. The result by multiple regression linear method reveal that significant effect on human resources, facilities and infrastructure, leadership and organizational on Quality Management in higher education. While, AHP method suggestion the result that the most important in Quality Management of Higher Education is a human resources owned by a higher education. This evidence contribute to the decision makers in universities which is priority and have to improve the quality of higher education management
Classification of Mint Leaf Types Based on the Image Using Euclidean Distance and K-Means Clustering with Shape and Texture Feature Extraction Trinugi Wira Harjanti; Hari Setiyani; Joko Trianto; Yuri Rahmanto
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.940

Abstract

Mint is a plant that has many benefits and uses. However, some people are not familiar with the types of mint leaves because they cannot tell the difference. Actually, if you look closely, mint leaves have their own characteristic shape and texture. However, most people judge mint leaves to have a shape similar to other leaves so it is difficult to tell them apart. This paper aims to classify the types of mint leaves using the Euclidean distance algorithm and K-Means clustering with shape and texture feature extraction. The K-Means Clustering Algorithm functions as a segmentation so that the image to be classified can be separated from other objects. In the feature extraction process, metric and eccentricity parameters are used. Meanwhile, for texture feature extraction, use the parameters in the Gray Level Co-occurence Matrix (GLCM). Furthermore, the classification process uses the Euclidean Distance algorithm which has a function to represent the level of similarity between two images by taking into account the distance value from the identified image. Based on the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, the precision value is 82%, recal is 84% ​​and accuracy is 83%.
Application of Data Mining for Student Department Using Naive Bayes Classifier Algorithm Yohana Tri Utami; Debby Alita; Ade Dwi Putra
Tech-E Vol. 5 No. 2 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v5i1.1012

Abstract

SMAN 02 Negeri Agung does not have a system that can assist schools in determining majors. The problem that occurs is that SMAN 02 Negeri Agung, when doing majors, still uses existing data, for example, using a majoring interest questionnaire, there are questions about the interests that students want, and the values of their junior high school report cards, which consist of Indonesian, Mathematics, Science, Social Studies, and English. However, there are still many students who choose majors not based on their interests or historical grades, such as following friends' choices. This can hinder student academic activities in the future, which will affect the value and development of student potential. With this major system, it is hoped that it can help schools and students minimize errors in determining and choosing a major. Based on the problems described above, the authors want to apply the Naïve Bayes method, which will produce a high level of accuracy in determining new student majors more effectively and efficiently.
Online Learning Service Application Using Flutter Framework and Laravel Yusuf Kurnia
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1436

Abstract

Online learning is a concept of learning that is carried out online or through the internet network. Very advanced technology in the modern era and globalization makes various activities carried out efficiently and can be done using only gadgets. Technological developments in the field of education with the use of e-learning in learning activities in schools, colleges, courses and even online communities have started to use concepts like this. This study uses Flutter to create applications for users and consultants in conducting online consultations on android devices. The author uses a collection of widgets that have been provided by flutter to create components in the user interface such as buttons, input text, text, icons, and others. In this study, we use the Laravel framework to create an admin dashboard and provide a Restful API for android applications to handle database management on the server. The author uses Laravel's features to build a fullstack application that handles requests, routing, controllers, services, models, and views.
Decision Support System for The Provision of Umrah Packages with AHP and MOORA Methods Naurah Huwaida
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1448

Abstract

The COVID-19 pandemic had a major influence that forces several business entities in various types of sectors to take various ways in order to maintain business continuity. This is no exception also affects business entities in the tourism sector. Travel restrictions during this pandemic have an impact on the sales of conventional travel agents. However, that doesn’t mean that conventional travel agents just disappear. Several travel agents can still exist, one of them is Bella Hamed Tour, which is a travel agent for Umrah. The qualified service they have all this time has made Bella Hamed Tour earn the trust of consumers, even in the midst of pandemic. However, the pandemic situation also makes Bella Hamed Tour need to make adjustments in making Umrah packages that required to be planned through consideration of the best decisions. Therefore, a decision support system is needed to assist the management of Bella Hamed Tour quickly arrange the Umrah package. The method applied in the decision support system is the Analytical Hierarchy Process (AHP) for weighting the criteria and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for ranking the results of the decision selection. Making a decision support system executed in form of a website.
Decision Support System Scholarship Using Profile Matching Ardiane Rossi Kurniawan Maranto; Suwitno Suwitno; Andri Wijaya
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1468

Abstract

Education is very necessary in social life. Education has a role that will improve the quality of resources to be able to have the competencies needed in an increasingly advanced and developing era. Giving this scholarship will also greatly help someone in pursuing and even getting an education. Scholarships must also be done objectively, not just subjectively. Because the problems that occur when objectively granting scholarships may not be in accordance with the target of the scholarship award. Scholarships must also be given according to the right criteria so that the scholarship grants get maximum results for the administrators and scholarship recipients. The research was conducted using the Profile Matching method with Interpolation at the Indonesian Christian Church Pos Cikoleang, it will require decision makers to determine the weight value for each criterion. The results issued by the system are the congregations that are accepted and rejected in the scholarship application. and the system can provide scholarships with an accuracy rate of 78%.
Does Quality Management in e-Learning System Improve lecturer performance in higher education? Lusy Tunik Muharlisiani; Siti Bariroh; Widyatmike Gede Mulawarman; Ristani Widya Inti
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1477

Abstract

Reason: The connection between Quality Management in e-Learning Systems and instructor execution draws a legitimate concern for specialists. It has not gotten critical consideration in the examination area of instructive administration up to this point. This paper intends to precisely examine the effect of Quality Management in e-Learning Systems on teacher execution in advanced education. Assessment and standards of value on the board and strategic exercises of e-learning frameworks. Satisfaction of criteria incorporates: 1) creative collaboration of the educational experience; 2) the e-growing experience (ELE); 3) connection innovation among educators and understudies; 4) ELE learning plan. The utilization of innovation gives a valuable chance to control understudy advancement during mentally and educationally versatile learning. It awards opportunities for learning, instructive change, and the nature of the information. It adds to the arrangement of expert abilities and fortifies acquiring direction. Discoveries express that Quality Management in e-Learning Systems in scholarly rankings altogether influences speaker execution. Portraying the association of instructors in instructive dynamic works on the exhibition of speakers and their associations. Among every segment variable, just scholastics fundamentally influence the presentation of teachers. Research suggestions expect the award framework and execution evaluation factors to impact the connection between Quality Management in e-Learning Systems and teacher execution. The exploration discoveries trust that the Indonesian government will promptly layout a Quality Management in the e-Learning System to work with better-quality execution in Indonesian advanced education. Innovation: Quality Management in e-Learning System is a device to adjust the association's vision and speaker execution objectives. The higher the degree of teacher interest in Quality Management in e-Learning Systems, the higher speakers' responsibility to the association's vision

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