Pub Date : 2022-12-10DOI: 10.53697/jkomitek.v2i2.855
M. H. Rifqo, Yulia Darnita, Dwita Deslianti, Wildo Zen
Digital image processing is one of the uses of computer technology used to solve problems regarding image processing or imagery so that it is easy to process. The process of applying image processing in this study aims to detect the value analysis of Rupiah coins by applying the Hough Transformation method, with the hough transformation method is expected to detect the nominal of coins because this method is an image transformation technique that can be used to isolate an object in the image by finding its boundaries. From research that has been conducted 10 images of coins on nominal inputs in the form of rupiah coin coins with a nominal value of 100, 200, 500, and 1000 rupiah obtained an accuracy rate of 90%. This means that there are 8 test data that get a true positive (TP) information, meaning that the data is successful, 1 false positive test data (FP) means that the data is not expected because it only gets a nominal result of the etapi coin not being parameterized in the circle of the coin and 1 test data gets a false negative (FN) description, meaning that the test result is wrong in assessing the nominal of the coin due to the image resolution factor that is too small.
{"title":"Application of Hough Transformation Method for Value Analysis Rupiah Coins","authors":"M. H. Rifqo, Yulia Darnita, Dwita Deslianti, Wildo Zen","doi":"10.53697/jkomitek.v2i2.855","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i2.855","url":null,"abstract":"Digital image processing is one of the uses of computer technology used to solve problems regarding image processing or imagery so that it is easy to process. The process of applying image processing in this study aims to detect the value analysis of Rupiah coins by applying the Hough Transformation method, with the hough transformation method is expected to detect the nominal of coins because this method is an image transformation technique that can be used to isolate an object in the image by finding its boundaries. From research that has been conducted 10 images of coins on nominal inputs in the form of rupiah coin coins with a nominal value of 100, 200, 500, and 1000 rupiah obtained an accuracy rate of 90%. This means that there are 8 test data that get a true positive (TP) information, meaning that the data is successful, 1 false positive test data (FP) means that the data is not expected because it only gets a nominal result of the etapi coin not being parameterized in the circle of the coin and 1 test data gets a false negative (FN) description, meaning that the test result is wrong in assessing the nominal of the coin due to the image resolution factor that is too small.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126433637","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}
Pub Date : 2022-12-10DOI: 10.53697/jkomitek.v2i2.857
Ujang Juhardi, Maulana Fajar Alamsyah
The Village Apparatus is one of the important parts in the framework of running the Village government as referred to in the Law of the Republic of Indonesia No. 6 of 2004. The appointment of Village apparatus is carried out by the Village Head as stated in the Law of the Republic of Indonesia Number 6 of 2014. The problem is that the selection of village apparatus is still done manually or has not been systemized and has the opportunity to cause errors in the selection of village apparatus. For this reason, it is necessary to have a system that can make it easier for village heads to find references for systematically selecting village officials. Decision Support System (DSS) is an interactive computer-based system, which helps decision makers utilize data and models to solve unstructured and semi-structured problems (Turban, Liang and Aronson, 2005). On this basis, researchers are interested in conducting research with the title "Decision Support System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency" with the calculation method that will be used is Simple Additive Weight (SAW). It is hoped that this system can help facilitate the Village Head in determining the best candidate for his Village Apparatus.
{"title":"Decision Making System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency","authors":"Ujang Juhardi, Maulana Fajar Alamsyah","doi":"10.53697/jkomitek.v2i2.857","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i2.857","url":null,"abstract":"The Village Apparatus is one of the important parts in the framework of running the Village government as referred to in the Law of the Republic of Indonesia No. 6 of 2004. The appointment of Village apparatus is carried out by the Village Head as stated in the Law of the Republic of Indonesia Number 6 of 2014. The problem is that the selection of village apparatus is still done manually or has not been systemized and has the opportunity to cause errors in the selection of village apparatus. For this reason, it is necessary to have a system that can make it easier for village heads to find references for systematically selecting village officials. Decision Support System (DSS) is an interactive computer-based system, which helps decision makers utilize data and models to solve unstructured and semi-structured problems (Turban, Liang and Aronson, 2005). On this basis, researchers are interested in conducting research with the title \"Decision Support System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency\" with the calculation method that will be used is Simple Additive Weight (SAW). It is hoped that this system can help facilitate the Village Head in determining the best candidate for his Village Apparatus.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122962543","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}
Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.790
Harjoni Saputra, H. Sari, Lena Elfianty
The management of attractions needs the support of Bengkulu Province Tourism Office, which is one of the government agencies in Bengkulu province. Every month a data collection on the number of visits to each tourist attraction in Bengkulu province will be carried out. From the large number of visit data that is calculated every year, Bengkulu provincial tourism office has difficulty in knowing the number of tourists and also difficulties in identifying which tourist objects are visited the most and least visited. The application for grouping tourist visits to tourist objects in Bengkulu province was made using the Visual Basic.net programming language and SQL Server 2008 data base by applying the Clustering Method, namely K-Means, the grouping was based on data on the number of tourist attraction visits for 12 months from January 2019 to with December 2019 which was divided into 4 attributes, namely Individual Adults (DP), Group Adults (DR), Individual Children (AP), and Group Children (AR). The data clustering process was carried out by dividing into 3 groups, namely Cluster 1 (high number of tourist visits), Cluster 2 (medium number of tourists) and cluster 3 (low number of tourists). Based on the results of the tests that have been carried out, the application for grouping tourist visits to tourist attractions in Bengkulu province has been successfully carried out, and can provide information based on 3 groups, namely Cluster C1 (high), Cluster C2 (medium) and Cluster C3 (low), as well as functionalities of the application. has worked as expected.
景点的管理需要明库鲁省旅游局的支持，这是明库鲁省的政府机构之一。每个月将收集到明古鲁省每个旅游景点的参观人数的数据。从每年计算的大量旅游数据来看，明库鲁省旅游局很难知道游客的数量，也很难确定哪些旅游景点参观得最多，哪些旅游景点参观得最少。利用Visual Basic.net编程语言和SQL Server 2008数据库，采用K-Means聚类方法对明古鲁省旅游景点的游客访问量进行分组，分组基于2019年1月至2019年12月12个月的旅游景点访问量数据，分为4个属性，即成人个体(DP)、成人群体(DR)、儿童个体(AP)和儿童群体(AR)。将数据聚类过程分为3组，即集群1(高游客访问量)、集群2(中等游客数量)和集群3(低游客数量)。根据已经进行的测试结果，明古鲁省旅游景点分组旅游应用程序已经成功实施，可以提供基于3组的信息，即C1组(高)、C2组(中)和C3组(低)，以及应用程序的功能。效果如预期。
{"title":"Application of K-Means In Grouping Tourist Visits To Bengkulu Province Tourist Attractions","authors":"Harjoni Saputra, H. Sari, Lena Elfianty","doi":"10.53697/jkomitek.v2i1.790","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.790","url":null,"abstract":"The management of attractions needs the support of Bengkulu Province Tourism Office, which is one of the government agencies in Bengkulu province. Every month a data collection on the number of visits to each tourist attraction in Bengkulu province will be carried out. From the large number of visit data that is calculated every year, Bengkulu provincial tourism office has difficulty in knowing the number of tourists and also difficulties in identifying which tourist objects are visited the most and least visited. The application for grouping tourist visits to tourist objects in Bengkulu province was made using the Visual Basic.net programming language and SQL Server 2008 data base by applying the Clustering Method, namely K-Means, the grouping was based on data on the number of tourist attraction visits for 12 months from January 2019 to with December 2019 which was divided into 4 attributes, namely Individual Adults (DP), Group Adults (DR), Individual Children (AP), and Group Children (AR). The data clustering process was carried out by dividing into 3 groups, namely Cluster 1 (high number of tourist visits), Cluster 2 (medium number of tourists) and cluster 3 (low number of tourists). Based on the results of the tests that have been carried out, the application for grouping tourist visits to tourist attractions in Bengkulu province has been successfully carried out, and can provide information based on 3 groups, namely Cluster C1 (high), Cluster C2 (medium) and Cluster C3 (low), as well as functionalities of the application. has worked as expected.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"140 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120932397","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}
Cooking is an activity carried out by a person by processing food ingredients through the process of applying heat with a specific purpose. In cooking, there are slight differences in the amount of ingredients and seasonings and how they are processed, so a recipe is needed to be used as a reference in cooking. Recipes are measurements used to process food ingredients that have been tested for accuracy. SMK Negeri 3 Bengkulu is one of the Vocational High Schools in Bengkulu City. In the culinary department, students who want to cook still use recipe books (manuals). The main problem in this research is how to assist students in finding information about recipes, so we need a software that can be used in the selection of recipes using the Case Based Reasoning method and Web applications to find recipes that match the food ingredients owned by the user. From the results of the tests carried out the Case Based Reasoning method can be used as a solution in the use of applications to determine the recipe for this food ingredient. In its application, this method can provide a percentage of the level of similarity in searching for a recipe. So that users, especially students of SMKN 3 Bengkulu City, especially in the culinary department, can make this application as a solution for cooking a food recipe with existing ingredients. Based on the system testing carried out, it can be concluded that this application is in accordance with the design and can provide convenience for users to search.
烹饪是一个人为了特定的目的对食物原料进行加热加工的一种活动。在烹饪中，食材和调味料的用量以及加工方式都略有不同，因此烹饪时需要参考食谱。食谱是用来加工食品配料的测量方法，这些配料经过了准确性测试。SMK Negeri 3 Bengkulu是Bengkulu市的一所职业高中。在烹饪系，想要烹饪的学生仍然使用食谱书(手册)。本研究的主要问题是如何帮助学生找到关于食谱的信息，因此我们需要一个软件，可以使用基于案例推理的方法来选择食谱，并使用Web应用程序来查找与用户拥有的食物成分相匹配的食谱。根据所进行的测试结果，基于案例的推理方法可以作为一种解决方案，在使用应用程序来确定这种食品成分的配方。在其应用中，该方法可以在搜索菜谱时提供相似程度的百分比。因此，用户，特别是SMKN 3 Bengkulu City的学生，特别是烹饪系的学生，可以将此应用程序作为使用现有食材烹饪食物食谱的解决方案。根据所进行的系统测试，可以得出结论，该应用程序是符合设计的，可以为用户提供方便的搜索。
{"title":"An Application Of Case-Based Reasoning Method In Selection Of Food Recipes Based On Ingredients","authors":"Wahyu Chandra, Maryaningsih Maryaningsih, Yode Arliando","doi":"10.53697/jkomitek.v2i1.539","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.539","url":null,"abstract":"Cooking is an activity carried out by a person by processing food ingredients through the process of applying heat with a specific purpose. In cooking, there are slight differences in the amount of ingredients and seasonings and how they are processed, so a recipe is needed to be used as a reference in cooking. Recipes are measurements used to process food ingredients that have been tested for accuracy. SMK Negeri 3 Bengkulu is one of the Vocational High Schools in Bengkulu City. In the culinary department, students who want to cook still use recipe books (manuals). The main problem in this research is how to assist students in finding information about recipes, so we need a software that can be used in the selection of recipes using the Case Based Reasoning method and Web applications to find recipes that match the food ingredients owned by the user. From the results of the tests carried out the Case Based Reasoning method can be used as a solution in the use of applications to determine the recipe for this food ingredient. In its application, this method can provide a percentage of the level of similarity in searching for a recipe. So that users, especially students of SMKN 3 Bengkulu City, especially in the culinary department, can make this application as a solution for cooking a food recipe with existing ingredients. Based on the system testing carried out, it can be concluded that this application is in accordance with the design and can provide convenience for users to search.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"573 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134268400","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}
Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.835
Febryan Hari Purwanto Hari, Marsidi Amin Amin
Internet Hotspot networks generally use WEP/WPA/WPA2 security as user authentication so that they can login and connect to the network, but this authentication is stored on hotspot access point devices and is used for multi users so that admins cannot manage the network efficiently. Another authentication method can be using is a captative portal system that requires users to enter a username and password to use the hotspot service. Although the use of a captative portal is quite good, the use of passwords often experiences problems, namely users forget their passwords or passwords can be spread easily. For this reason, better authentication is needed which can reduce the risk of spreading login information so that it can reduce network load. so in this study we designed and implemented Hotspot Network Login Authentication Using a Mikrotik-Based QR Code by utilizing a user manager application that is already contained in the Mikrotik package and can be directly installed and run directly on the Mikrotik device without using an additional server. The system can be created by simply adding a Mikrotik routerboard RB951Ui-2HND with a built in Mikrotik access point as an access point for Hotspots and modifying the Mikrotik default login page by adding the HTML5 and Javascript Web-based QR Code feature. The test results show that the system is able to run as desired and is able to handle the given input and is able to handle user login exploits by giving error messages. SSL certificates can be generated using the Mikrotik certificate feature, even if these certificates are not publicly known.
{"title":"Design and Implementation of Hotspot Network Login Authentication Using QR Code Based on Mikrotik","authors":"Febryan Hari Purwanto Hari, Marsidi Amin Amin","doi":"10.53697/jkomitek.v2i1.835","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.835","url":null,"abstract":"Internet Hotspot networks generally use WEP/WPA/WPA2 security as user authentication so that they can login and connect to the network, but this authentication is stored on hotspot access point devices and is used for multi users so that admins cannot manage the network efficiently. Another authentication method can be using is a captative portal system that requires users to enter a username and password to use the hotspot service. Although the use of a captative portal is quite good, the use of passwords often experiences problems, namely users forget their passwords or passwords can be spread easily. For this reason, better authentication is needed which can reduce the risk of spreading login information so that it can reduce network load. so in this study we designed and implemented Hotspot Network Login Authentication Using a Mikrotik-Based QR Code by utilizing a user manager application that is already contained in the Mikrotik package and can be directly installed and run directly on the Mikrotik device without using an additional server. The system can be created by simply adding a Mikrotik routerboard RB951Ui-2HND with a built in Mikrotik access point as an access point for Hotspots and modifying the Mikrotik default login page by adding the HTML5 and Javascript Web-based QR Code feature. The test results show that the system is able to run as desired and is able to handle the given input and is able to handle user login exploits by giving error messages. SSL certificates can be generated using the Mikrotik certificate feature, even if these certificates are not publicly known.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132820731","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}
Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.825
Novperan Nando
The process of managing consumer data and motorcycle sales data has utilized an office application package, namely Microsoft Excel. However, the data collection takes quite a long time, because it has to record all available motorbikes including frame numbers, engine numbers, and dealers who sell these motorbikes, besides that it is difficult to search consumer data. The consumer data search system for Astra Motor Bengkulu Branch is an application that can be used to help manage data on dealers, motorcycles, consumers, motorcycle sales, and facilitate the search for consumer data. This consumer data search system has implemented the Turbo Boyer Moore method which helps facilitate the process of searching for consumer data based on consumer names through character shifts. The consumer data retrieval system for Astra Motor Bengkulu Branch was created using the Visual Basic. Net programming language and SQL Server database. Based on test data conducted with the keyword Man to search for consumer names, the search system automatically conducts research data on the database using Turbo Boyer Moore Method and produces searches on the 5th pattern index. Based on the tests that have been carried out, the functionality of the consumer data search system for Astra Motor Bengkulu Branch has been running according to the design and there are no errors in the application
管理消费者数据和摩托车销售数据的过程中使用了office应用程序包，即Microsoft Excel。然而，数据收集需要相当长的时间，因为它需要记录所有可用的摩托车，包括车架号、发动机号和销售这些摩托车的经销商，而且很难搜索到消费者数据。Astra Motor Bengkulu分公司的消费者数据搜索系统是一个应用程序，可以用来帮助管理经销商、摩托车、消费者、摩托车销售的数据，并促进消费者数据的搜索。该消费者数据搜索系统实现了Turbo Boyer Moore方法，该方法可以通过字符转换来方便地基于消费者名称搜索消费者数据。阿斯特拉汽车明库鲁分公司的消费者数据检索系统是使用Visual Basic创建的。Net编程语言和SQL Server数据库。搜索系统根据以关键词Man搜索消费者名称进行的测试数据，采用Turbo Boyer Moore法自动对数据库进行研究数据，并在第5模式索引上进行搜索。根据已经进行的测试，阿斯特拉汽车明库鲁分公司的消费者数据搜索系统的功能已经按照设计运行，应用程序中没有任何错误
{"title":"PENERAPAN ALGORITMA TURBO BOYER MOORE DALAM SISTEM PENCARIAN DATA KONSUMEN ASTRA MOTOR CABANG BENGKULU","authors":"Novperan Nando","doi":"10.53697/jkomitek.v2i1.825","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.825","url":null,"abstract":"The process of managing consumer data and motorcycle sales data has utilized an office application package, namely Microsoft Excel. However, the data collection takes quite a long time, because it has to record all available motorbikes including frame numbers, engine numbers, and dealers who sell these motorbikes, besides that it is difficult to search consumer data. The consumer data search system for Astra Motor Bengkulu Branch is an application that can be used to help manage data on dealers, motorcycles, consumers, motorcycle sales, and facilitate the search for consumer data. This consumer data search system has implemented the Turbo Boyer Moore method which helps facilitate the process of searching for consumer data based on consumer names through character shifts. The consumer data retrieval system for Astra Motor Bengkulu Branch was created using the Visual Basic. Net programming language and SQL Server database. Based on test data conducted with the keyword Man to search for consumer names, the search system automatically conducts research data on the database using Turbo Boyer Moore Method and produces searches on the 5th pattern index. Based on the tests that have been carried out, the functionality of the consumer data search system for Astra Motor Bengkulu Branch has been running according to the design and there are no errors in the application","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125140462","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}
Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.792
Nadia Elisa Suhardi, Maryaningsih Maryaningsih, Rizka Tri Alinse
In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.
在预测商品的购买情况时，可以使用的方法有很多，其中，根据公司根据所购商品之间的关系进行的购买过程，使用数据挖掘方法和Priori算法对购买数据进行处理。通过使用先验算法，本例中的公司是CV。Padat Karya Konstruksi可以估算出工人所需的建筑材料数量，这是由于CV购买了大量货物。Padat Karya Konstruksi的作品。先验算法采用表格形式进行数据转换，确定最小支持度和最小置信度，形成1项集候选组合模式，然后计算每个项集中出现的次数。因此从17(17)个数据中得出，经常购买的项目是水泥多达11(11)次，劈裂石8(8)次，混凝土砂多达8(8)次，支撑值为25%，置信度为75%。
{"title":"The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi","authors":"Nadia Elisa Suhardi, Maryaningsih Maryaningsih, Rizka Tri Alinse","doi":"10.53697/jkomitek.v2i1.792","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.792","url":null,"abstract":"In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133582850","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}
Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.784
Robi Saputra, L. Yulianti, Lena Elfianty
At Pajar Bulan Health Center, drug supply data processing is already using office application packages, namely Microsoft Word and Excel. The application package is used for making monthly usage reports, requests and drug supplies. Constraints that often occur are that it takes a long time to manage drug inventory data because they have to record one by one the amount of drug use and the number of drug requests to be made. The number of requests is carried out every month by looking at the latest drug supply, if the stock starts to run low then a request is made. However, it is possible that the stock has run out before making a request, this results in a lack of drug supply management. Drug data clustering is carried out based on the amount of supply and the number of requests for drugs at the Pajar Bulan Health Center through the K-Means Clustering Method approach. To help cluster the drug data, an application was built using the Visual Basic .Net programming language and SQL Server 2008r2 database. Clustering of drug data is carried out in units of pcs in 2021 where the amount of inventory is reduced by the number of requests for drugs, so that the results obtained are 2 drugs enter cluster I and 27 drugs enter cluster II. good and the application can help the Pajar Bulan Health Center in knowing the grouping of drug data based on 2 groups, namely the few clusters and the large clusters
在Pajar Bulan卫生中心，药品供应数据处理已经使用office应用程序包，即微软的Word和Excel。应用程序包用于制作每月使用报告，请求和药物供应。经常出现的制约因素是，管理药品库存数据需要很长时间，因为他们必须逐一记录药品使用量和药品申请数量。请求的数量是每个月通过查看最新的药品供应来执行的，如果库存开始减少，那么就会提出请求。然而，有可能在提出要求之前库存已用完，这导致缺乏药品供应管理。通过k -均值聚类方法，根据Pajar Bulan保健中心的药品供应数量和请求数量进行药物数据聚类。为了实现药物数据的聚类，使用Visual Basic . net编程语言和SQL Server 2008r2数据库构建了一个应用程序。2021年以pcs为单位对药品数据进行聚类，存货量按药品申请量减少，结果为2种药品进入聚类I, 27种药品进入聚类II。该应用程序可以帮助Pajar Bulan Health Center了解基于2组的药物数据分组，即小簇和大簇
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Pub Date : 2022-06-30DOI: 10.53697/jkomitek.v2i1.789
Titi Gustina, A. Asnawati, I. Kanedi
The problem that often arises is the number of customers who have problems paying installments, so the collectibility is not smooth. Customer installment payments affect their performance and existence in everyday life. We need a way to find out how the customer's installment payment pattern is so that it can be classified whether the customer is good or problematic so that the company can overcome the problem early on. The implementation of Naive Bayes Method in the classification of good and problem customers at PT. Adira Finance is a platform that can be used to determine whether a customer is classified as a good customer or a problem customer based on 4 (four) aspects of the assessment. The 4 (four) aspects of the assessment are financing, installments, time period, and income. The classification of customer data is done by comparing the training data that has been previously inputted with the test data for which you want to know the classification. The final result of the classification is the probability value of good and problematic customers by looking at the highest value. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the application for determining customer classification is good and has problems at PT. Adira Finance has run as expected and the application is able to display the results of the classification of good and problem customer data.
{"title":"The Implementation Of Naive Bayes Method In Classification Of Good And Problem Customers At PT. Adira Finance","authors":"Titi Gustina, A. Asnawati, I. Kanedi","doi":"10.53697/jkomitek.v2i1.789","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.789","url":null,"abstract":"The problem that often arises is the number of customers who have problems paying installments, so the collectibility is not smooth. Customer installment payments affect their performance and existence in everyday life. We need a way to find out how the customer's installment payment pattern is so that it can be classified whether the customer is good or problematic so that the company can overcome the problem early on. The implementation of Naive Bayes Method in the classification of good and problem customers at PT. Adira Finance is a platform that can be used to determine whether a customer is classified as a good customer or a problem customer based on 4 (four) aspects of the assessment. The 4 (four) aspects of the assessment are financing, installments, time period, and income. The classification of customer data is done by comparing the training data that has been previously inputted with the test data for which you want to know the classification. The final result of the classification is the probability value of good and problematic customers by looking at the highest value. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the application for determining customer classification is good and has problems at PT. Adira Finance has run as expected and the application is able to display the results of the classification of good and problem customer data.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127451608","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 calculation of parking retribution income which has been managed by PT. Bumi Daya Plaza Bengkulu City used Microsoft Excel application. Data processing is only limited to revenue recapitulation. Then a forecasting application will be made that will be used to forecast future income, for the benefit of the company by using Trend Method Non-Linear Quadratic Model. Trend Method NonLinear Quadratic Model is a trend in which the value of the dependent variable increases or decreases linearly or a parabola occurs when the data is made a scatter plot (the relationship between the dependent and independent variables is quadratic) tend to be in one direction (up or down), such trends generally include movements lasting about 10 periods or more. This motion reflects the nature of continuity or a continuous state from time to time over a certain period of time, because of the nature of this continuity, the trend is considered a stable motion so that in interpreting it a mathematical model can be used, according to the circumstances and the time series data itself. Trend can be a straight line (regression/linear trend) or non-straight (regression/non-linear trend). The results obtained are derived from the processing of income for the last 12 months using Trend Method Non-Linear Quadratic Model. With data that has been processed from January 2020 to December 2020, it produces income forecasting at the T001 parking point of Rp. 467,272 and at the T002 parking point of Rp. 15,814,697 in January 2021. By using Trend Method Non-Linear Quadratic Model can determine forecasting/ prediction of parking retribution income in the future using preexisting data.
本研究使用Microsoft Excel应用程序计算由白古鲁市Bumi Daya Plaza PT.管理的停车补偿收入。数据处理仅限于收入重述。然后利用趋势法非线性二次模型对公司未来的收益进行预测，为公司的利益服务。非线性二次模型是当数据做散点图(因变量和自变量之间的关系为二次)趋向于一个方向(上升或下降)时，因变量的值呈线性增加或减少或出现抛物线的趋势，这种趋势一般包括持续约10个周期或更长时间的运动。这种运动反映了一段时间内不时的连续性或连续状态的性质，由于这种连续性的性质，趋势被认为是一种稳定的运动，因此在解释它时可以根据情况和时间序列数据本身使用数学模型。趋势可以是直线(回归/线性趋势)或非直线(回归/非线性趋势)。所得结果是利用趋势法非线性二次模型对近12个月的收入进行处理得出的。根据2020年1月至2020年12月处理的数据，得出2021年1月T001停车点的收入预测为467272卢比，T002停车点的收入预测为15814697卢比。利用趋势法，非线性二次模型可以利用已有数据对未来停车补偿收益进行预测。
{"title":"Application of Parking Retribution Income Forecasting at PT Bumi Daya Plaza Bengkulu City Using Trend Method Non Linear Squadratic Model","authors":"Fido Rama Nugraha, Jusuf Wahyudi, Arius Satoni Kurniawansyah","doi":"10.53697/jkomitek.v2i1.783","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.783","url":null,"abstract":"The calculation of parking retribution income which has been managed by PT. Bumi Daya Plaza Bengkulu City used Microsoft Excel application. Data processing is only limited to revenue recapitulation. Then a forecasting application will be made that will be used to forecast future income, for the benefit of the company by using Trend Method Non-Linear Quadratic Model. Trend Method NonLinear Quadratic Model is a trend in which the value of the dependent variable increases or decreases linearly or a parabola occurs when the data is made a scatter plot (the relationship between the dependent and independent variables is quadratic) tend to be in one direction (up or down), such trends generally include movements lasting about 10 periods or more. This motion reflects the nature of continuity or a continuous state from time to time over a certain period of time, because of the nature of this continuity, the trend is considered a stable motion so that in interpreting it a mathematical model can be used, according to the circumstances and the time series data itself. Trend can be a straight line (regression/linear trend) or non-straight (regression/non-linear trend). The results obtained are derived from the processing of income for the last 12 months using Trend Method Non-Linear Quadratic Model. With data that has been processed from January 2020 to December 2020, it produces income forecasting at the T001 parking point of Rp. 467,272 and at the T002 parking point of Rp. 15,814,697 in January 2021. By using Trend Method Non-Linear Quadratic Model can determine forecasting/ prediction of parking retribution income in the future using preexisting data.","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122276217","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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