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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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BUMDes Information System Mukti Bersama M Zaenal Arifin; Agnes Novita
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.v6i1.1478

Abstract

Village is the smallest form of government in the Republic of Indonesia, whose growth is very important in supporting the growth of the country evenly. Village-Owned Enterprises (BUMDes) play an important role in the development of a village and as a forum for encouraging community economic growth. Utilization of information technology is needed so that transaction recording is carried out quickly and produces accurate reports so that the management of BUMDes is better. This study uses a prototyping development method to help BUMDes Mukti Bersama management understand the system needed. The result of this study is a BUMDes information system that integrates data from three business units at BUMDes Mukti Bersama and is able to produce fast and accurate financial reports.
Collaborative E-Learning for Tangerang Vocational High School Didi Kurnaedi; Setyawan Widyarto; Saliyah Kahar
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.v6i1.1770

Abstract

Information technology is no stranger in modern times. The emergence of various learning media has promoted the application of communication and information technology learning media called e-learning in vocational high schools (SMK). E-learning is learning that uses technology. The E-Learning of Tangerang Vocational High School (SMK) uses independent E-Learning learning media. In this research, the methods used are descriptive qualitative and descriptive statistical analysis. The research goal is to develop a collaborative E-Learning learning model for Tangerang Vocational High School (SMK) as a learning model. The sample included 375 students and 22 vocational high schools (SMK) Tangerang.
Implementation of Random Forest Algorithm on Palm Oil Price Data Arif Rahman Hakim; Dewi Marini Umi Atmaja; Amat Basri; Muhamad Syafii
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i2.1757

Abstract

One of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable.
Identifikasi Kebangkrutan Perusahaan Menggunakan Algoritma Regresi Linear Berganda Haryadi, Deny; Rahman Hakim, Arif; Marini Umi Atmaja, Dewi; Basri, Amat; Adisty Nilasari, Risma
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Corporate bankruptcy can hurt the company and affect the state of the economy. Therefore, many interested parties want to know the business situation related to the company. These parties include creditors, auditors, shareholders, and management itself who have an interest in knowing the state of the company in the context of bankruptcy. The past financial statements of a company can be used to predict future financial conditions using report analysis techniques. In the risk assessment process, expert knowledge is still seen as an important task, because expert predictions are subjective. This study aims to predict the bankruptcy of the company using influencing factors such as the level of research and development costs, the growth rate of total assets, and the current asset turnover rate. The method used in this research is the prediction method using the Linear Regression Algorithm. Based on the test results show that the variables or attributes used in this study have a significant effect, as evidenced by using a linear regression algorithm to be able to produce a Root Mean Squared Error value: 0.162 +/- 0.000.
A Analysis of Data Center Information System Feasibility by using TELOS method (Case Study: Department of Information Systems UIN Suska Riau) Rakhul Rizki Illahi
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research uses the TELOS approach to assess the risks and feasibility of developing current systems as part of the information systems study program. The examination begins with technical feasibility, followed by economic feasibility, legal feasibility, operational feasibility, and time-frame feasibility. Observational and interview-based methods for data collecting. The research's findings demonstrate that the development of the data centre information system is ELIGABLE.
Air Quality Monitoring System And Air Neutralizer In Hotel Rooms With Notification Via Telegram Rahmat Novrianda Dasmen; Rizki Akbar
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia is rich in natural beauty, and in various regions it presents many tourist objects that attract visitors from various regions and foreign countries. Hotels, as a form of public accommodation, are extremely beneficial to tourists who are traveling by providing lodging services in the form of hotel rooms. The article aims to design a carbon dioxide (CO2) gas detector because CO2 gas is included in air quality and uses the MQ 135 sensor to detect gas in order to provide comfort to hotel visitors. carbon dioxide (CO2), DC fans as air neutralizers in hotel rooms, and with notifications via telegram to find out the levels of carbon dioxide (CO2) gas in hotel rooms.
Application Integration for Sustainability Smart Tourism Model in Indonesia Ruci Meiyanti
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The existence of the COVID-19 pandemic over the past few years has made the tourism world slump, and Indonesia is no exception. However, this creates a potential use of IT not only for managing tourism activities but also for managing risks and conflicts that arise due to pandemics or others. The existence of various integrated managements on the economic, socio-cultural, and ecological dimensions can create tourism sustainability that is supported by technological advances. The purpose of this study is to provide a comprehensive and integrated model of sustainable tourism activities supported by the use of IS/IT infrastructure. The methods used in the formation of this model are Interpretative Structural Modeling (ISM) and smart thinking. From ISM, four key components are produced, namely innovation, local wisdom, local residents resources, and revitalization of tourist destinations due to disasters. The results of this study are in the form of a smart tourism sustainability model in Indonesia which is supported by an integrated application derived from the four key components
Rancang bangun alat pendeteksi formalin pada kuah bakso berbasis arduino uno Rendy Wiradharma
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The formalin detector is a device designed to assist in identifying the level of formaldehyde in food and beverages. Formalin is a chemical used as a preservative, but it can also be harmful to health if too much is consumed. In this design, we use the HCHO sensor as part of the formalin detection system.The HCHO sensor works by utilizing a chemical reaction between formalin and a catalyst to produce hydroxyl and carbon monoxide. This sensor is capable of detecting the concentration of HCHO and sending an electrical signal to the control module connected to the device. The control module will analyze the signal obtained from the sensor and display the results on the LCD screen located on the tool.This design offers an easy and efficient solution for detecting formaldehyde levels in food and beverages, so that people can ensure that the food and drinks they consume are safe from harmful chemicals.
Singme Music Entertainment Services Marketing Information System with Content-Based Filtering Method and TAM Testing Ivander Darmawan; Benny Daniawan
Tech-E Vol. 7 No. 1 (2023): The Tech-E Journal Vol. 7 No. 1 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v7i1.1500

Abstract

With the times, the website used as marketing and sales media, which developed into E-Commerce. In 2019, there was 16,277 businesses used the E-Commerce concept, and also the value of Gross Domestic Product (GDP) was about 5.07%. Furthermore, because of the Coronavirus Disease (COVID) pandemic, the GDP decreased to -2.07% In 2020 and even impacted 10 out of 17 business sectors. Music entertainment business was also impacted by the pandemic, because during the pandemic, the government restricted certain public activities. Therefore, this system named Singme will help singers or music groups to market their services and provide related information for the public. Searching the services in Singme will be assisted by using Content-Based Filtering (CBF) method, it will give the recommendations of the services which have correlations with the keywords. Using Technology Acceptance Model (TAM) to test 122 feedback data about Singme with SmartPLS application v3.2.9. As the results, all hypotheses are acceptable because each t-statistic value > t-table value (1.981), and also each p-value < 0.05. Which PEOU influences PU by 34.3%, PU and POEU influence ATU by 50.7%, PU and ATU influence BITU by 56.1%, and BITU influences ASU by 52.3%.
Performance Analysis of Classification and Regression Tree (CART) Algorithm in Classifying Male Fertility Levels with Mobile-Based Arif Rahman Hakim; Dewi Marini Umi Atmaja; Amat Basri; Andri Ariyanto
Tech-E Vol. 7 No. 1 (2023): The Tech-E Journal Vol. 7 No. 1 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v7i1.2110

Abstract

Fertility is the ability to produce offspring in a man or the ability of the reproductive organs to work optimally in fertilization. Fertility rates have declined drastically in the last fifty years. Machine Learning is a field devoted to understanding and building learning methods. This study will use machine learning algorithms to classify male fertility levels, namely the Classification and Regression Tree (CART) algorithm and the K-Fold Cross Validation validation method. The fertility dataset used in this study was obtained from the UCI Machine Learning website, with a total of 100 data and the variables used are Age, Childish diseases, Accident or serious trauma, Surgical intervention, High fevers in the last year, Frequency of alcohol consumption, Smoking habit, Number of hours spent sitting per day and Diagnosis. K-Fold Cross Validation can be used together with CART to measure the performance of the CART model on different data, so as to avoid overfitting or underfitting the CART model. Based on the calculation of the CART algorithm and the K-Fold Cross Validation validation method (K = 1 to K = 9), the average accuracy value for training data is 98.70% and the average accuracy value for testing data is 81.16%. The results of this study have proven that the CART algorithm can be used to classify the level of fertility in men well. In addition, the classification model formed can be implemented into a mobile application (android) so that it is easy to use and understand.

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