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.
{"title":"A Tool Detects Violation Of Road Markings Using Ultrasonic Sensors Based On Internet Of Things","authors":"Yo Ceng Giap, Yohanes Manurung, M. Johari","doi":"10.32877/BT.V2I2.110","DOIUrl":"https://doi.org/10.32877/BT.V2I2.110","url":null,"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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132337889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
很难找到想要的食物并买到它也是几乎每个人都面临的问题之一。出现这个问题是因为所需要的物品只在某个地方出售或稀有。我们需要一个解决问题的方法。其中之一是电子商务，它主要使用互联网。通过订餐程序，顾客可以看到销售的食品列表，并可以从很远的地方订购食品，交易过程变得更安全、更容易。因此，作者在一个名为Ayam Gepuk Pak Gembus Dasana Indah Branch的地方/企业进行了研究，作者发现这个地方存在几个问题，比如吃饭的地方很窄，所以大多数人点了带回家，数据的存储仍然是手工的(存储在纸上)，老板想扩大他们的业务。因此，作者决定为Ayam Gepuk Pak Gembus Dasana Indah Branch制作预订应用程序，以便客户更方便地订购食物，并制作管理页面，以便所有者可以监控其业务收入，库存物品和查看报告。至少作者使用CodeIgniter框架编写了排序应用程序。MVC(模型-视图-控制器)CodeIgniter框架将编码分为三个部分，即控制器、模型和视图，以便新程序员将来很容易阅读编码，并且已经有代码，因此程序员不必费心寻找代码。
{"title":"Ayam Gepuk Pak Gembus Web-Based Ordering Application Design With Codeigniter Framework","authors":"Yusuf Kurnia, Refin","doi":"10.32877/BT.V2I2.104","DOIUrl":"https://doi.org/10.32877/BT.V2I2.104","url":null,"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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116279143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI)","authors":"Yance Gusnadi, Aditiya Hermawan","doi":"10.32877/BT.V2I2.107","DOIUrl":"https://doi.org/10.32877/BT.V2I2.107","url":null,"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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128469021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.
{"title":"The Analysis and Design Marketplace Information Systems Web-Based of Electronic Repair Service Providers with Haversine Method","authors":"Darmayana Putra, Benny DaniawanDaniawan, Suwit Witno, Andri Wijaya","doi":"10.32877/bt.v2i1.89","DOIUrl":"https://doi.org/10.32877/bt.v2i1.89","url":null,"abstract":"This system is designed to help customers find electronic service centers were spread in Tangerang. The distribution of electronic service center makes it difficult for users to determine the right electronic service center. Sometimes customers don’t know the results of repairs from the electronic service center. Search for electronic service center on the system is using the Haversine method. Haversine is used to calculate the distance between the position of the customer and the position of the electronic service centers. In addition to Haversine, the search for electronic service center will be adjusted to the type of goods you want to repair and rating from the results of the performance electronic service center. In this system, the customer can choose the damage diagnosis available and the customer can also make a special order by describing the customer's damage. This system was tested using Black Box Testing with Boundary Value Analysis technique, based on the results of testing the system can use data with a success percentage of 96.66%. The system is tested with User Acceptance Testing to find out how much the level of user acceptance of the system designed, and the result is 75% of users agree with the system.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Extraction Opinion of Social Media in Higher Education Using Sentiment Analysis","authors":"T. E. Tarigan, R. C. Buwono, S. Redjeki","doi":"10.32877/bt.v2i1.92","DOIUrl":"https://doi.org/10.32877/bt.v2i1.92","url":null,"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. \u0000The 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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133082530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer is a big challenge for humanity. Cancer can affect various parts of the body. This deadly disease can be found in humans of all ages. However, the risk of cancer increases with age. Breast cancer is the most common cancer among women, and is the biggest cause of death for women. Then there are problems in the detection of breast cancer, causing patients to experience unnecessary treatment and huge costs. In a similar study, there were several methods used but there were problems due to the shape of nonlinear cancer cells. The C4.5 method can solve this problem, but C4.5 is weak in terms of determining parameter values, so it needs to be optimized. Genetic Algorithm is one of the good optimization methods, therefore the parameter values of C4.5 will be optimized using Genetic Algorithms to get the best parameter values. The results of this study are that C4.5 Algorithm based on genetic algorithm optimization has a higher accuracy value (96%) than only using the C4.5 algorithm (94.99%) and which is optimized with the PSO algorithm (95.71%). This is evident from the increase in the value of accuracy of 1.01% for the C4.5 algorithm model that has been optimized with genetic algorithms. So it can be concluded that the application of genetic algorithm optimization techniques can increase the value of accuracy in the C4.5 algorithm.
{"title":"Optimization of Application of Genetic Algorithm Using C4.5 Method to Predict Breast Cancer Disease","authors":"Hartana Wijaya","doi":"10.32877/bt.v2i1.82","DOIUrl":"https://doi.org/10.32877/bt.v2i1.82","url":null,"abstract":"Cancer is a big challenge for humanity. Cancer can affect various parts of the body. This deadly disease can be found in humans of all ages. However, the risk of cancer increases with age. Breast cancer is the most common cancer among women, and is the biggest cause of death for women. Then there are problems in the detection of breast cancer, causing patients to experience unnecessary treatment and huge costs. In a similar study, there were several methods used but there were problems due to the shape of nonlinear cancer cells. The C4.5 method can solve this problem, but C4.5 is weak in terms of determining parameter values, so it needs to be optimized. Genetic Algorithm is one of the good optimization methods, therefore the parameter values of C4.5 will be optimized using Genetic Algorithms to get the best parameter values. The results of this study are that C4.5 Algorithm based on genetic algorithm optimization has a higher accuracy value (96%) than only using the C4.5 algorithm (94.99%) and which is optimized with the PSO algorithm (95.71%). This is evident from the increase in the value of accuracy of 1.01% for the C4.5 algorithm model that has been optimized with genetic algorithms. So it can be concluded that the application of genetic algorithm optimization techniques can increase the value of accuracy in the C4.5 algorithm.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"709 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
{"title":"Employee Performance Assessment Decision Support Using Profile Matching Method Compared to Simple Additive Weight Addition at Dharma Buddhi University, Tangerang","authors":"Muhammad Subhana, Yakub Yakub","doi":"10.32877/bt.v2i1.101","DOIUrl":"https://doi.org/10.32877/bt.v2i1.101","url":null,"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","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124235026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Drop Out Students Identification Using Knowledge Base","authors":"Dara Kusumawati, Dini Faktasari","doi":"10.32877/bt.v2i1.102","DOIUrl":"https://doi.org/10.32877/bt.v2i1.102","url":null,"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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amesanggeng Pataropura, Riki Riki, Joshua Geraldo Manu
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
{"title":"Decision Support System for Selection of Assembly Using Profile Matching Method and Simple Additive Weighting Method (Case Study: GKIN Diaspora Church)","authors":"Amesanggeng Pataropura, Riki Riki, Joshua Geraldo Manu","doi":"10.32877/bt.v2i1.100","DOIUrl":"https://doi.org/10.32877/bt.v2i1.100","url":null,"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","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.
旅游业是印尼需要发展的重要经济部门之一。这是根据“Kementrian Pariwisata Republik Indonesia”网站的游客访问量数据得出的，印度尼西亚的游客数量非常多，而且随着时间的推移还在不断增加。由于来自各地的游客越来越多，使得许多企业家都在竞争建立一个酒店作为一个地方的业务与各种价格，等级，设施和服务。然后，酒店的增长变得非常迅速。有这么多的酒店可供选择，当然会给游客带来一个问题，以决定哪家酒店适合所需的标准。在这个全球化的时代，随着信息技术的发展，应该利用技术来解决这个问题，作为一个决策支持系统，可以从游客的愿望中推荐最适合的酒店。本研究使用的酒店数据来自酒店搜索网站。该决策支持系统采用SAW和TOPSIS方法。使用这种方法的原因是SAW基于标准，具有更准确的评估能力，TOPSIS方法的计算效率高，速度快。选择酒店的标准是价格、设施和档次。这项研究的结果已经产生了一个基于网络的酒店推荐应用程序。根据本酒店推荐系统应用程序的测试结果，本应用程序运行正常。
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