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bit-Tech
Published by Komunitas Dosen Indonesia
ISSN : 2622271X     EISSN : 26222728     DOI : https://doi.org/10.32877/bt
Core Subject : Science,
Computer Science & IT
The bit-Tech journal was developed with the aim of accommodating the scientific work of Lecturers and Students, both the results of scientific papers and research in the form of literature study results. It is hoped that this journal will increase the knowledge and exchange of scientific information, especially scientific papers and research that will be useful as a reference for the progress of the State together.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 4 No. 2 (2021): bit-Tech" : 5 Documents clear
Analysis of the Design of a Decision-Making System for Assessing Employees and Clothing Products using the Simple Additive Weight Method Web-Based Muhammad Subhana; Santa Margita
bit-Tech Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.259

Abstract

Indonesia is a country that is currently developing in technology and internet networks that follow modern times so that people can easily access and explore information needs when people need something, for that several companies and traders have now invested in a web-based program and mobile so that the public can easily access the company's web regarding marketing information on what products are being sold and can compare them to other products, one of which is the Indonesian market place which currently spoils the community in terms of primary, secondary and tertiary needs, DNA.GALERI Boutique is a boutique that is engaged in Muslim clothing products for young women in dynamic and elegant designs adapting to changing times, attracting Muslim women to love to cover their limbs fully in avoiding aurat. Because of the important role of employees, and the development of employees who work with each other and do not know the quality of the employees when selling and serving goods to the maximum or not, employee assessment is needed to measure how productive the work done in selling goods for sales turnover is. Likewise, for products being marketed, it is necessary to measure transparency assessment that has been assessed by the community, which will later be known to the boutique owner which product is the best and make the product worthy of being an option to add stock or be used as a sampling in design developments that will attract public attention. For this reason, a system design was made to support and produce a decision in assessing good employees and assessing superior clothing products from other models of clothing using the SAW method supported by web-based technology in assessing employees and boutique products sold
Implementation of Naïve Bayes Algorithm for Classification of Mental Health of Social Media Users Aditiya Hermawan
bit-Tech : Binary Digital - Technology Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.282

Abstract

Social media has become a human need to interact in everyday life. Apart from being a means of communication, social media also has the additional function of exchanging information on the internet in various forms including writing, images and videos. One of the social media that has many users is Instagram, where Instagram offers information sharing features in the form of images, photos and short videos. The purpose of this feature is for users to express themselves and attract the attention of others, thereby creating feelings of happiness and increasing self-confidence. In addition to positive impacts, there are also negative impacts on users, for example excessive use that causes addiction so that it can cause mental health disorders. Mental health needs to be handled properly so that it does not continue to get worse, but there are several obstacles in seeing a psychiatrist in mental health, including limited access and also negative stigma if someone sees a psychiatrist. Therefore, a tool is needed that can be an early indication in knowing the level of mental agitation, especially in the use of Instagram. Classification in data mining can help provide initial information on a person's condition in his mental health. The Naïve Bayes algorithm provides an accuracy rate of 92.5% in classifying mental health on data sets that have been clustered. Good accuracy can help social media users know their mental health condition.
ERP Software Selection Strategy Using Analytic Hierarchy Process (AHP) Case Study: PT Gramedia Printing FX Agung Pramanto; Erna Oktora; Ramlan Ramlan; Muhammad Drajat; Irfan Nasullah
bit-Tech Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.286

Abstract

Enterprise Resource Planning (ERP) is an integrated information system technology used by world-class manufacturers to improve company performance. According to the policy determined by Kompas Gramedia, in all business sectors, the strategy must implement ERP. Printing PT Gramedia plans to implement ERP. The ERP that will be implemented in the printing company has not yet decided which ERP to use. Persian Malan. The choice of ERP in PT Gramedia printing is the object of research. The research was conducted by applying quantitative research methods, using raw data and auxiliary data as samples. The test results and analysis are expected to provide guidelines for PT Gramedia's print management to choose the correct implementation of ERP, so as to realize the vision to be realized
Twitter Opinion Mining Analysis of Web-Based Handphone Brand Using Naïve Bayes Classification Method Suryadi Wijaya; Yo Ceng Giap
bit-Tech Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.287

Abstract

Social Media is now very commonly used for the benefit of society. People mostly use social media to convey information, give opinions, even for media to express themselves. One of the social media that is widely used to convey this information is Twitter. From the use of Twitter, a public opinion tweet emerged about a mobile phone product. The more that is posted on Twitter about cellphones, the more public opinion will arise about cellphone brands. From these opinions, a classification is needed that can distinguish Neutral, Negative, or Positive Opinions. Sentiment analysis or opinion mining is one part of text mining that can help with these problems. In connection with the above, an application is designed that can analyze sentiment analysis from Twitter using the Naïve Bayes classification method. The results of the application of the Naïve Bayes classification method will result in a classification of sentiments into neutral, negative, or positive opinions
Android-Based Musical Instrument Recognition Application For Vocational High School Level Yusuf Kurnia; Toga Parlindungan Silaen
bit-Tech Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.288

Abstract

With the old way of learning and methods, Vocational High School students will be bored, especially in the field of Arts and Culture, which on average are considered difficult and not liked by most students. Therefore, it is necessary to make other learning media based on Android so that learning becomes more interesting and enjoyable. In addition, with this learning media, it is hoped that it can help children's creativity and thinking power, because it is equipped with several important components that can hone children's imaginative power such as pictures, videos in the material provided. Therefore, the authors design and create an application about interactive learning media that includes these components. This application will be aimed at the Vocational High School level with the title "Android-Based Musical Instrument Recognition Application for Vocational High School Level". Therefore, research was conducted at the Vocational High School level. Users want attractive images of each musical instrument such as guitar, bass, drums, keyboard, have video links, there are questions in the application, a menu in the form of icons, and attractive colors. After designing, manufacturing, and testing this application, several conclusions can be drawn. First, with this application, Vocational High School students can easily learn musical instruments in different ways. In addition, with this learning method, students become enthusiastic and learning becomes fun in studying cultural arts lessons in the field of musical instruments, especially musical instrument techniques and chords of musical instruments. Second, this application is able to hone the cognitive abilities of students because in this application there are practice questions, the questions are integrated with the material provided, so that students can easily practice their abilities through the practice questions available in this application. Third, and lastly, according to the author, this application is lacking in terms of animation in the application that was made late. Hopefully this application can be a learning material for students who want to take a Thesis with a title related to learning musical instruments. The author really expects criticism and suggestions because this design system still has many shortcomings

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