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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 122 Documents
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Extraction Opinion of Social Media in Higher Education Using Sentiment Analysis Thomas Edison Tarigan; Robby C Buwono; Sri Redjeki
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.38 KB) | DOI: 10.32877/bt.v2i1.92

Abstract

The purpose of this research is to extract social media Twitter opinion on a tertiary institution using sentiment analysis. The results of sentiment analysis will provide input to universities as a form of evaluation of management performance in managing institutions. Sentiment analysis generated using the Naïve Bayes Classifier method which is classified into 4 classes: positive, normal, negative and unknown. This study uses 1000 data tweets used for training data needs. The data is classified manually to determine the sentiment of the tweet. Then 20 tweet data is used for testing. The results of this study produce a system that can classify sentiments automatically with 75% test results for sentiment, some obstacles in processing real-time tweets such as duplicate tweets (spam tweets), Indonesian structures that are quite complex and diverse.
Decision Support System for Selection of Assembly Using Profile Matching Method and Simple Additive Weighting Method (Case Study: GKIN Diaspora Church) Amesanggeng Pataropura; Riki Riki; Joshua Geraldo Manu
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.151 KB) | DOI: 10.32877/bt.v2i1.100

Abstract

The church is a place of worship for Christians who are worshipers, in the church there are many organizers called the assemblies whose task is to regulate and manage all kinds of operational activities related to the worship held on Sundays, the duties and authorities of an assembly are in each position he has. To be a church administrator or assembly can be chosen by the congregation by conducting a selection process from the assemblies in the church and to be appointed by the pastor. The process of selecting the assembly can be an error to choose the assembly that can be subjective. Then a system for decision-making decision support is made using the Profile Matching Method and Simple Additive Weighting (SAW) Method. Where Profile matching is a decision support method using calculation of weight and weighting by dividing the main factors and supporting factors. And using the Simple Additive Weighting (SAW) method is a weighted housing method, by normalizing the decision decision matrix (x) to a scale that can be compared with all available alternative ratings
Employee Performance Assessment Decision Support Using Profile Matching Method Compared to Simple Additive Weight Addition at Dharma Buddhi University, Tangerang Muhammad Subhana; Yakub Yakub
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.322 KB) | DOI: 10.32877/bt.v2i1.101

Abstract

An employee performance evaluation of the Buddhist Dharma University is needed to see the potential of its human resources. To get an employee performance appraisal in one year requires a decision support system that is fast and measurable so that the information obtained is accurate. The method used in assessing employee performance uses profile matching and is compared with the SAW (simple additive weight) method so that the results can be properly compared. The purpose of employee appraisal is so that leaders can easily obtain information about employee performance ratings at Buddhii Dharma University. The results of the value using the profile matching method can be recommended for salary increases and positions of 4 employees. Which can be recommended for salary increases there are 17 employees and those who are not eligible for salary increases and positions are valued at 12 employees. And comparing with the Simple Additive Weight (SAW) method, there are 19 employees who are eligible to raise salaries and 14 employees who are not eligible to raise salaries and positions
Drop Out Students Identification Using Knowledge Base Dara Kusumawati; Dini Faktasari
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.372 KB) | DOI: 10.32877/bt.v2i1.102

Abstract

The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge-based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial potential DO, enough potential and once potential. The results of the study produced a system that could help university managers deal with drop-out problems early.
Ayam Gepuk Pak Gembus Web-Based Ordering Application Design With Codeigniter Framework Yusuf Kurnia; Refin .
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.104

Abstract

The difficulty of finding the desired food and to buy it also one of the problems that almost everyone faces. This problem occurs because the desired item is only sold in a certain place or rare. We need a way to solve the problem. One of them is e-commerce, which mostly uses the internet network. By making a ordering program, customers can see a list of foods sold and can order food from far away and the transaction process becomes safer and easier. Therefore the author conducted a research in a place / business called Ayam Gepuk Pak Gembus Dasana Indah Branch, and the author found several problems in the place like a narrow place to eat, so most people ordered to take home, the storage of data is still manual (storing it in paper) and the owner want to expand their business. So, the author decided to make a booking application for Ayam Gepuk Pak Gembus Dasana Indah Branch to make it easier for customers to order food, and also make the admin page so that the owner can monitor the income from his business, stock items, and view reports. At least the author made the ordering application using the CodeIgniter framework. MVC (Model-View-Controller) CodeIgniter framework that makes coding is divided into three, namely Controller, Model, and Views so that the coding is easy to read by new programmers in the future and there are already codes so programmers don't bother to look for codes.
Perancangan Aplikasi Chatbot Pusat Informasi Mahasiswa Pada Telegram Messenger Dengan Menggunakan Fulltext Search Boolean Mode (Studi Kasus : STMIK PGRI Tangerang) Hokianto Candra; Rino .; Riki Riki
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.106

Abstract

Chatbot can be used as a solution of human resource issues in term of answering user’s questions about STMIK PGRI Tangerang. A chatbot application can have a conversation or answer user’s questions automatically. Knowledge is needed for chatbot to work properly. The general scheme of chatbot’s knowledge is the existence of patterns and responses. This research will implement the Fulltext Search Boolean Mode for the pattern-matching process with the input received by the chatbot application based on Telegram Messenger Bot. Chatbot application which created in this research can provide answers to information that is relevant to the input or questions provided by users.
Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI) Yance Gusnadi; Aditiya Hermawan
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.107

Abstract

Institutions or companies must indirectly be ready to face the era of digitalization in presenting company information, especially to see employee performance. Many companies have not used an application that can help in the process of monitoring employees so far. The problem that occurs is that the company has been monitoring the process using a Spreadsheet which consists of inputting employee performance and reporting employee performance results with a predetermined target. In the process it takes a long time and tools to assist in monitoring and measuring employee performance. Dashboard monitoring is designed using the Key Performance Indicator (KPI) method that will help management and then focus on performance aspects that are used as a measure of company performance, which in turn the dashboard application with KPI will facilitate division heads and managers in conducting the analysis process, monitoring and evaluation. From the results of this research, the use of dashboard monitoring can facilitate the user in monitoring and measuring the KPI of each employee.
Tourism Geographic Information System using Google API Banten DIDI KURNAEDI; Asep Surahmat; Erna Oktora; Manorang Sihotang
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.109

Abstract

Banten Province as a Province adjacent to the Capital City of Jakarta and Banten Province is a province that is very well known because it has tourist areas in districts and sub-districts in Banten that have the main attraction to be visited by tourists, but the lack of information about existing tourist objects , and in searching for tourist information there are still many using maps manually, so we need an application that provides information services about tourist attractions in Banten, Web information system design provides information about the potential of the region as a tourist attraction in Banten Province. The geographic information system of web-based tourism in the province of Banten by using the Google Map API that can facilitate tourists searching, the location of users, interesting places and to find out the natural beauty and history in the province of Banten. This system is designed to make it easier for users to use and be more interactive. Supported by facilities to show the direction to the tourist attractions chosen by the user, as well as the addition of data visualization. This system is expected to be a guide and dissemination of travel information in Banten Province. Presentation of information in the form of images and maps will make it easier to understand users who will get the information effectively and efficiently. With the presence of this application is provided to meet the information needs of attractions in Banten Province
A Tool Detects Violation Of Road Markings Using Ultrasonic Sensors Based On Internet Of Things Yo Ceng Giap; Yohanes Manurung; Ma'mun Johari
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.110

Abstract

In our daily lives, of course we often see the number of motorbike or car vehicles that do not care about the traffic lights, even though the traffic is red, but there are always vehicles that stop or even slightly cross the white line that is specifically for pedestrians so that can pass when the traffic lights are red. Ultrasonic sensors work based on the principle of reflection of sound waves, where these sensors produce sound waves which then capture it again with a time difference as the basis for sensing. After analyzing the needs, the author will build a Tool to Detect Road Marking Violations Using the Internet-Based Ultrasonic Sensor on the grounds that all the components needed in building the tool already exist. Which is where the driver will be exposed to a photo if it crosses the marking line that has been provided on the highway. Because the concept of the internet of things involves tools with users to communicate. The composition of the algorithm, the author uses python which has become the default programming language raspbian operating system. Algortihm construction in the tool is a red light algorithm, an ultrasonic sensor algorithm, an image capture algorithm, and an algorithm for sending text and images via email. Traffic officers will be facilitated because the tool is in accordance with the traffic light seconds, can take pictures, and also officers are informed in the form of text and images.
Junior Class Preparedness Classification Faces A National Exam Using C.45 Algorithm with A Particle Swarm Optimization Approach Asep Suherman; DIDI KURNAEDI; Sofian Lusa; Rizqi Darmawan
bit-Tech Vol. 2 No. 3 (2020): Pandemik ICT
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i3.133

Abstract

These studies are counter to a trend of falling students' graduation rates on the national exam. This is because of the way students prepare their readiness to face national tests is inaccurate. On this study the hybrid method c4 algorithm.5 and the swarm particle optimization to produce a class readiness of students with high and accurate accuracy. This research suggests that by using hybridmethodC4.5 andParticle Swarm Optimizationgenerates accuracy as 97.13 %, Precisionas 96,58 %, andRecallas 100 %. Then implemented through a web-based prototype application using programming javascriptlanguage.

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