Amesanggeng Pataropura, Ivan Darmawan Sabatino, Riki Riki
Inventory management using forecasting methods aims to improve effectiveness and efficiency that facilitate trading businesses in the process of business transactions, improve delivery of information quickly, accurately, and transaction data properly and minimize errors. The system running in the system of selling goods is still manual, that is, it is not well computerized. The method used is forecasting which helps determine the estimated future stock of goods. Single Moving Average and Trend Projection. It can be concluded that the results of implementing this new system can assist trading businesses in recording transactions in the system. We can predict the current flow of goods which has been calculated based on 2 modules that have a connection with the system.
{"title":"Inventory Management with Forecasting Method: Single Moving Average and Trend Projection","authors":"Amesanggeng Pataropura, Ivan Darmawan Sabatino, Riki Riki","doi":"10.32877/BT.V2I3.162","DOIUrl":"https://doi.org/10.32877/BT.V2I3.162","url":null,"abstract":"Inventory management using forecasting methods aims to improve effectiveness and efficiency that facilitate trading businesses in the process of business transactions, improve delivery of information quickly, accurately, and transaction data properly and minimize errors. The system running in the system of selling goods is still manual, that is, it is not well computerized. The method used is forecasting which helps determine the estimated future stock of goods. Single Moving Average and Trend Projection. It can be concluded that the results of implementing this new system can assist trading businesses in recording transactions in the system. We can predict the current flow of goods which has been calculated based on 2 modules that have a connection with the system. ","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116492736","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}
Sales transaction data is one thing that can be used for making business decisions. Most sales transaction data is not reused, and is only stored as an archive and only used for making a sales report. Paint sales data is one science that can be applied in cases like this. Sales transactions that are not utilized properly can be extracted and reprocessed into useful information using data mining techniques. Using one of the data mining methods, namely the a priori algorithm, sales transaction data can be reprocessed so that it can produce a consumer buying pattern. This consumer buying pattern will later help companies make business decisions. PT Indowarna Cemerlang Indonesia is a company engaged in the paint trade, where the main activity is selling various wall paints, oil / wood paints, NC paints (car paints), epoxy paints (floor paints), depo-proof (anti leaked). PT Indowarna Cemerlang Indonesia does not reuse sales transaction data resulting from its sales activities. This data is only used as a reference for making sales reports and as an archive only, causing accumulation of data and unknown paint brands that are often sold or those that are of interest to customers. Therefore, the author takes the title application of data mining analysis of customer purchase patterns in paint sales using a priori algorithm. By doing this research, it is expected to provide results in the form of information that can be useful for related parties and can design sales strategies to increase company turnover.
{"title":"Analysis of the Application of Customer Purchase Mining Data on Paint Sales Using Apriori Algorithm (Case Study: PT Indowarna Cemerlang Indonesia)","authors":"Rino, Maman Novian","doi":"10.32877/BT.V2I3.161","DOIUrl":"https://doi.org/10.32877/BT.V2I3.161","url":null,"abstract":"Sales transaction data is one thing that can be used for making business decisions. Most sales transaction data is not reused, and is only stored as an archive and only used for making a sales report. Paint sales data is one science that can be applied in cases like this. Sales transactions that are not utilized properly can be extracted and reprocessed into useful information using data mining techniques. Using one of the data mining methods, namely the a priori algorithm, sales transaction data can be reprocessed so that it can produce a consumer buying pattern. This consumer buying pattern will later help companies make business decisions. PT Indowarna Cemerlang Indonesia is a company engaged in the paint trade, where the main activity is selling various wall paints, oil / wood paints, NC paints (car paints), epoxy paints (floor paints), depo-proof (anti leaked). PT Indowarna Cemerlang Indonesia does not reuse sales transaction data resulting from its sales activities. This data is only used as a reference for making sales reports and as an archive only, causing accumulation of data and unknown paint brands that are often sold or those that are of interest to customers. Therefore, the author takes the title application of data mining analysis of customer purchase patterns in paint sales using a priori algorithm. By doing this research, it is expected to provide results in the form of information that can be useful for related parties and can design sales strategies to increase company turnover.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130498127","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}
Clean water production has not been well considered between the balance of water use by the community and the production of clean water that is in accordance with the needs of the community. Prediction of water use in meeting the daily needs of the community is very necessary in order to be able to produce efficient water. This research can help PDAM Kota in Kalimantan to be able to produce clean water in accordance with the use of clean water by the community. The Backpropagation Neural Network method focuses on the recapitulation of water use by the community. For better prediction results, optimization is done with Particle Swarm Optimization (PSO). It is expected that the results in this study can predict community water use in daily activities. The test results showed that the Prediction results had RMSE of 0.040 with parameters for training cycle 600 values, learning rate 0.1 and momentum 0.2, and neuron size was 3 and in particle swarm optimization population size 8, max.of gene 100, inertia weight value 0.3, the value of local best weight 1.0 and global value of best weight 1.0
{"title":"Prediction of Water Use Using Backpropagation Neural Network Method and Particle Swarm Optimization","authors":"Afdhal Rizki Yessa, Mardi Hardjianto","doi":"10.32877/BT.V2I3.158","DOIUrl":"https://doi.org/10.32877/BT.V2I3.158","url":null,"abstract":"Clean water production has not been well considered between the balance of water use by the community and the production of clean water that is in accordance with the needs of the community. Prediction of water use in meeting the daily needs of the community is very necessary in order to be able to produce efficient water. This research can help PDAM Kota in Kalimantan to be able to produce clean water in accordance with the use of clean water by the community. The Backpropagation Neural Network method focuses on the recapitulation of water use by the community. For better prediction results, optimization is done with Particle Swarm Optimization (PSO). It is expected that the results in this study can predict community water use in daily activities. The test results showed that the Prediction results had RMSE of 0.040 with parameters for training cycle 600 values, learning rate 0.1 and momentum 0.2, and neuron size was 3 and in particle swarm optimization population size 8, max.of gene 100, inertia weight value 0.3, the value of local best weight 1.0 and global value of best weight 1.0","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131846279","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}
Teofilus Sunarsa, Paulus Yayan Christian, Y. Gunawan
Buccheri is a retail company that provides quality footwear for men and women since 1980. We begin our history with our first flagship store in a historic business district, "Pasar Baroe." Now Buccheri has been through various challenges and experienced many developments. This of the most prestigious and footwear brand in Indonesia. As the leading formal shoes in Indonesia, Buccheri tends to put their segmentation in the middle-upper class. Established in 1980, the name of this brand is well known among Indonesian consumers. With specialized informal to daily leather-based footwear, and claimed as a handcrafted, stylish yet comfortable footwear brand. Buccheri is committed to providing a high-quality product and post-buying service and maintaining the best craftsmanship in every item that we produce. Innovation is also one of the keys to our future development. With the development of existing technology, Buccheri made changes to its sales system. With the many stores that exist, real-time technology is needed to meet the company's business needs. Therefore, the point of Sale is redeveloped to answer the needs of time-based
{"title":"Information System Point of Sales Based Real Time on PT. Buccheri Indonesia","authors":"Teofilus Sunarsa, Paulus Yayan Christian, Y. Gunawan","doi":"10.32877/BT.V3I1.164","DOIUrl":"https://doi.org/10.32877/BT.V3I1.164","url":null,"abstract":"Buccheri is a retail company that provides quality footwear for men and women since 1980. We begin our history with our first flagship store in a historic business district, \"Pasar Baroe.\" Now Buccheri has been through various challenges and experienced many developments. This of the most prestigious and footwear brand in Indonesia. As the leading formal shoes in Indonesia, Buccheri tends to put their segmentation in the middle-upper class. Established in 1980, the name of this brand is well known among Indonesian consumers. With specialized informal to daily leather-based footwear, and claimed as a handcrafted, stylish yet comfortable footwear brand. Buccheri is committed to providing a high-quality product and post-buying service and maintaining the best craftsmanship in every item that we produce. Innovation is also one of the keys to our future development. With the development of existing technology, Buccheri made changes to its sales system. With the many stores that exist, real-time technology is needed to meet the company's business needs. Therefore, the point of Sale is redeveloped to answer the needs of time-based","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128005215","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}
Didi Kurnaedi, A. Suherman, Sofian Lusa, R. Darmawan
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
{"title":"Junior Class Preparedness Classification Faces A National Exam Using A C.45 Algorithm With A Particle Swarm Optimization Approach","authors":"Didi Kurnaedi, A. Suherman, Sofian Lusa, R. Darmawan","doi":"10.32877/BT.V2I3.133","DOIUrl":"https://doi.org/10.32877/BT.V2I3.133","url":null,"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","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128773847","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}
Appreciation for outstanding students is one of the encouragement for students to continue to maintain and improve their achievements. Generally, the selection of outstanding students in every school still uses the report value as the reference. Currently the selection of outstanding students at SMP Strada Santa Maria 2 still using the report card value (academic) as a reference. In addition, the school does not have a system that helps the selection and processing process based on several criteria considered. Therefore a decision support system is needed in order to help overcome problems and accelerate the selection of outstanding students. In this decision support system uses the SAW method (Simple Additive Weighting) and WP (Weighted Product) and compares the two methods. The criteria used included the value of the average semester 1, the value of the average semester 2, the value of attitudes, absences, and activeness of extracurricular activities. The results of these calculation in the form of the final value of each method and form of ranking that will be recommended to assist the school in determining the outstanding students according to the required criteria. Based on the terms of execution time, the SAW method is slightly faster than the WP method and and in terms of the test results using RSD, the value generated from the WP method calculation is better than the value generated from the SAW method calculation, where the RSD value of the WP method is 14.74% and SAW is 10.46%.
对优秀学生的赞赏是对学生继续保持和提高成绩的一种鼓励。一般来说，每所学校的优秀学生的选拔仍然以报告值为参考。目前SMP Strada Santa Maria 2的优秀学生的选拔仍然使用成绩单价值(学术)作为参考。此外，学校没有一个系统来帮助选择和处理基于几个标准考虑的过程。因此，需要一个决策支持系统，以帮助克服这些问题，加快优秀学生的选拔。该决策支持系统采用了简单加性加权(SAW)和加权积(WP)方法，并对两种方法进行了比较。使用的标准包括平均第一学期的价值、平均第二学期的价值、态度价值、缺勤价值和课外活动的活跃度。这些计算的结果以每种方法的最终值和排名形式的形式进行推荐，以协助学校根据要求的标准确定优秀学生。从执行时间上看，SAW法略快于WP法，从RSD计算的测试结果来看，WP法计算得到的值优于SAW法计算得到的值，其中WP法的RSD值为14.74%，SAW为10.46%。
{"title":"Decision Support Systems the Selection of Outstanding Students Using Simple Additive Weighting (SAW) and Weighted Product (WP) Methods","authors":"Riki Riki, Mimi Yanti","doi":"10.32877/BT.V3I1.168","DOIUrl":"https://doi.org/10.32877/BT.V3I1.168","url":null,"abstract":"Appreciation for outstanding students is one of the encouragement for students to continue to maintain and improve their achievements. Generally, the selection of outstanding students in every school still uses the report value as the reference. Currently the selection of outstanding students at SMP Strada Santa Maria 2 still using the report card value (academic) as a reference. In addition, the school does not have a system that helps the selection and processing process based on several criteria considered. Therefore a decision support system is needed in order to help overcome problems and accelerate the selection of outstanding students. In this decision support system uses the SAW method (Simple Additive Weighting) and WP (Weighted Product) and compares the two methods. The criteria used included the value of the average semester 1, the value of the average semester 2, the value of attitudes, absences, and activeness of extracurricular activities. The results of these calculation in the form of the final value of each method and form of ranking that will be recommended to assist the school in determining the outstanding students according to the required criteria. Based on the terms of execution time, the SAW method is slightly faster than the WP method and and in terms of the test results using RSD, the value generated from the WP method calculation is better than the value generated from the SAW method calculation, where the RSD value of the WP method is 14.74% and SAW is 10.46%.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132622535","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 Covid-19 pandemic currently occurring around the world, including Indonesia has had an impact and changes in various areas of daily life. Especially, in the field of education which during the Covid-19 pandemic must make efforts to adapt. Minimizing direct interactions is an important first step to avoiding the spread of covid-19. This is also applied to teaching and learning activities between teachers and students therefore teaching and learning activities are carried out online. Without any doubt, this change creates problems and difficulties in the delivery of material, interactions between teachers and students, etc. However, SMP Kusuma Bangsa is a private school that still implements face-to-face learning system. To solve this problem, the author propose making an online learning system. In order to achieve this, the author intend to create an e-learning application. This e-learning application is based on website created using the Codeigniter framework. To find out the application requirements desired by the user, the author make user needs which will be used as a form of analysis in making e-learning application. After getting the results of user needs, the author complete the e-learning application with 3 user models, admin, teacher, and students, each of them has their own function. Likert scale is used to measure the level of user satisfaction of the e-learning application. Based on the results of the calculation, it can be seen that users as respondents who strongly agree with the statement that the e-learning application are in the good category, it shows the acquisition of 84.1%. Therefore, the e-learning application has helped minimize direct interaction, the application operates well, and the presence of an online exam feature, a conference system using the zoom application, etc make teaching and learning activities at SMP Kusuma Bangsa easier
{"title":"Designing Website-Based E-Learning Application on SMP Kusuma Bangsa Using Framework Codeigniter","authors":"Cris Sunray, Yusuf Kurnia","doi":"10.32877/BT.V3I1.186","DOIUrl":"https://doi.org/10.32877/BT.V3I1.186","url":null,"abstract":"The Covid-19 pandemic currently occurring around the world, including Indonesia has had an impact and changes in various areas of daily life. Especially, in the field of education which during the Covid-19 pandemic must make efforts to adapt. Minimizing direct interactions is an important first step to avoiding the spread of covid-19. This is also applied to teaching and learning activities between teachers and students therefore teaching and learning activities are carried out online. Without any doubt, this change creates problems and difficulties in the delivery of material, interactions between teachers and students, etc. However, SMP Kusuma Bangsa is a private school that still implements face-to-face learning system. To solve this problem, the author propose making an online learning system. In order to achieve this, the author intend to create an e-learning application. This e-learning application is based on website created using the Codeigniter framework. To find out the application requirements desired by the user, the author make user needs which will be used as a form of analysis in making e-learning application. After getting the results of user needs, the author complete the e-learning application with 3 user models, admin, teacher, and students, each of them has their own function. Likert scale is used to measure the level of user satisfaction of the e-learning application. Based on the results of the calculation, it can be seen that users as respondents who strongly agree with the statement that the e-learning application are in the good category, it shows the acquisition of 84.1%. Therefore, the e-learning application has helped minimize direct interaction, the application operates well, and the presence of an online exam feature, a conference system using the zoom application, etc make teaching and learning activities at SMP Kusuma Bangsa easier","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125460060","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}
High competent human resources can support the level of performance, by conducting performance evaluation assessments it will be known the achievements of each employee. Assessment of employee performance evaluation carried out by the Faculty of Engineering, University of Pancasila uses criteria of diligence, teamwork, sincerity to work, skills, initiative, independence and attendance. In this study, the authors used the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to assist in making employee performance evaluation decisions, so that it can be seen which employees get the reward with good performance. The data used is in the form of employee performance evaluation data using six stages of the PROMETHEE method.
{"title":"Decision Support System for Employee Performance Evaluation with Promethe Method. Case Study: Faculty of Engineering, Pancasila University","authors":"S. R. C. Nursari, Amir Murtako","doi":"10.32877/BT.V3I1.170","DOIUrl":"https://doi.org/10.32877/BT.V3I1.170","url":null,"abstract":"High competent human resources can support the level of performance, by conducting performance evaluation assessments it will be known the achievements of each employee. Assessment of employee performance evaluation carried out by the Faculty of Engineering, University of Pancasila uses criteria of diligence, teamwork, sincerity to work, skills, initiative, independence and attendance. In this study, the authors used the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to assist in making employee performance evaluation decisions, so that it can be seen which employees get the reward with good performance. The data used is in the form of employee performance evaluation data using six stages of the PROMETHEE method.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127669","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}
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.
{"title":"Designing a Chatbot Application for Student Information Centers on Telegram Messenger Using Fulltext Search Boolean","authors":"Hokianto Candra, Rino ., Riki Riki","doi":"10.32877/BT.V2I2.106","DOIUrl":"https://doi.org/10.32877/BT.V2I2.106","url":null,"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.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"27 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":"122047041","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}
Didi Kurnaedi, Asep Surahmat, Erna Oktora, M. Sihotang
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
{"title":"Tourism Geographic Information System using Google API Banten","authors":"Didi Kurnaedi, Asep Surahmat, Erna Oktora, M. Sihotang","doi":"10.32877/BT.V2I2.109","DOIUrl":"https://doi.org/10.32877/BT.V2I2.109","url":null,"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","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"98 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":"124086787","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}
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