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Published by Universitas Buddhi Dharma

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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.

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Articles 7 Documents

Search results for , issue "Vol 1 No 2 (2018): Tech-E" : 7 Documents clear

E-Marketing Applications Based On Virtual Reality Using Sostac Planning Method On Sales Property Philip Kristy Wijaya; Aditiya Hermawan
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Increased demand for property in Indonesian society, opening up a great opportunity for entrepreneurs to start a business in the property sector. The large number of new entrepreneurs, opening up many different ways of offering attractive products and promos that bring the impact of significant sales decline for those who can not compete. One such problem-solving proposal is to analyze current conditions and create new, powerful goals and strategies to implement. The methods that can serve as guidelines in the analysis and planning of the marketing strategy are SOSTAC (Situation Analysis, Objectives Setting, Strategy, Tactics, Action and Control). Based on the results of SOSTAC analysis and suggestions the way that can be done is to build E-Marketing with media websites that can be easily reached by the public and a marketing tool for marketing executive. On the website created a Virtual Reality feature that can display the form of building to consumers to increase consumer confidence in purchasing units. Based on testing and evaluation by consumers a new marketing strategy plan is worth trying and applied in marketing strategy.

Neural Network Modeling for Family Welfare Classification Sri Redjeki
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Welfare in general can be defined as the level of a person's ability to meet their basic needs in the form of clothing, food, boards, education, and health. Welfare can be assessed in terms of family welfare. This study aims to perform analysis of artificial neural network modeling backpropagation method. The model will compare the optimization algorithm of artificial neural network results. The data used are 251 data of pre prosperous family in Banguntapan District, Bantul Regency. There are 16 input variables with 14 variables from BPS and 2 additional variables. There is one variable that has constant data so that this variable is not used in artificial neural network model analysis. There is a hidden layer with a number of dynamic neurons. Output layer there are 4 neurons which is the family welfare category. Data is processed using Matlab and SPSS. The system results show that the best accuracy for training is 68% of the Scale Conjugate Gradient algorithm while for best test results it is 68.8% of the Gradient Descent algorithm.

Monitoring Computer Activities with Cloud to Device Messaging (C2DM) Suwitno Witno; Rino Rino
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

In a particular division, a supervisor needs to perform monitoring of the activities carried out at his employers to improve the performance of the work of his subordinates. Leaders are often not in place to monitor the activities of his subordinates in carrying out their responsibilities. One solution to overcome these problems is to supervise the use of their computer by means of push notification. By utilizing the technology of Cloud to Device Messaging (C2DM), supervisor can monitor computer activities of his employers anywhere. Given this research, is expected to help the supervisor in monitoring his employers despite not being in place. This may indirectly improve performance in a division. For further research can be developed monitoring in a real time.

Data Mining Implementation on Choosing Potential Customers Using K-Means Algorithm on PT. Koba Metal Indonesia Sandi Kristianto; Yusuf Kurnia
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

PT. Koba metal Indonesia. is one of roll-reforming cooperations who produce light-steel stuffs which is growing rapidly nowadays. One of the important thing in customer management is how a cooperation be able to preserve their customers. the effort of preserving customers becomes important for PT. Koba metal Indonesia. considering of plenty companies who commits at the same sector. To prevent the displacement of customers, knowing the potential group of customers is important, so that the company could preserve those potential customers by giving excellent service, etc. the implication of data mining could assist the company to analize the received data from sales transaction to gain potential customers data. Therefore, a designed application which could implement the data mining for choosing potential customers by clustering and algorithm K-means method is arranged. Then, the information performes with groups who is categorized into potential customers. Besides, rapminder application is also used to examine the data’s accuracy of this built application design. Hereinafter, this application design is expected to assist companies to choose their potential customers and preserve them to advance their business.

Implementation of Information Technology Governance Based on CoBIT Framework 5. Case Study: Bureau of Information Systems & Technology-Buddhi Dharma University Riki Riki
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

The purpose of writing, to determine the level of capability in the Bureau of Information Systems & Technology at Buddhi Dharma University. Analyzing the achievement of its capability level and assisting BSTI in implementing international standardized IT governance. The methodology used is the CoBIT 5 framework as a measure of capability level guidance. The result is that the current level of BSTI capability is 2.027 which means at level 2 (managed process), the standard is at level 3. Conclusion that BSTI has been managed and implemented correctly, although the achievement of the level of capability is still in the middle position due to the lack of competition that forced Buddhi Dharma University to do business development.

a Taskboard System Based On Website (Case Study: CV Nukegraphic Indonesia) Ceng Giap Yo; Dennie Dennie
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

CV. Nukegraphic Indonesia as one of the fast growing website in Indonesia would require a lot of support, including support in the field of Information Technology. Recording task list that still use manual systems, often prevent the processing of information about the details of the status of the task and the status of projects ongoing or already completed in the form of a percentage of each project, as well as recording task that still use paper media is also considered only will lead to waste in paper usage. Recording task that is only made in the scope of the company's staff also hinder the work process of the company when staff are outside the company. The method used in the manufacture of a web-based application taskboard this form of collecting data through observation and questionnaires were distributed in the scope of the company. The test results of these applications concluded that with the application taskboard-based website is an account executive can find out information about the details of the status and the status of the project in a short time, because the data processing has been made into a computerized provided through the application, both an account executive and members are also more easy in knowing the task that must be done even though it is outside the company. With this application is expected to help the performance of employees in a company to be more productive

Expert System Diagnosis of Television Damage with Depth First Search Method Using Vb.Net Programming Language Dicky Surya Dwi Putra
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

The expert system is part of an artificial intelligence consisting of the knowledge and experience of an expert who is included in the knowledge base. The expert system can help someone who is still lay in solving the problem. Television is a medium of communication that receives broadcasts of moving pictures and sounds. One example of an expert system created is an expert system to diagnose television damage using the Depth First Search method using the VB.NET programming language. With the application of expert systems in diagnosing television damage, expected in the analysis process becomes faster. Expert system analysis on the damage of television can be known directly to assist in knowing what damage experienced by television and what steps to improve television. In this case, the author has consulted with an expert in the field of television damage to build a knowledge base

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