Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)最新文献_第7页

Application of Hough Transformation Method for Value Analysis Rupiah Coins 霍夫变换法在印尼币价值分析中的应用

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-12-10 DOI: 10.53697/jkomitek.v2i2.855

M. H. Rifqo, Yulia Darnita, Dwita Deslianti, Wildo Zen

{"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}

引用次数: 0

Decision Making System for Village Apparatus Selection in Pinang Raya District, North Bengkulu Regency 北明古鲁县槟榔拉雅区村具选择决策系统

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-12-10 DOI: 10.53697/jkomitek.v2i2.857

Ujang Juhardi, Maulana Fajar Alamsyah

{"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}

引用次数: 0

Application of K-Means In Grouping Tourist Visits To Bengkulu Province Tourist Attractions K-Means在明古鲁省旅游景点组团旅游中的应用

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.790

Harjoni Saputra, H. Sari, Lena Elfianty

{"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}

引用次数: 0

An Application Of Case-Based Reasoning Method In Selection Of Food Recipes Based On Ingredients 基于案例的推理方法在基于食材的食谱选择中的应用

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.539

Wahyu Chandra, Maryaningsih Maryaningsih, Yode Arliando

{"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}

引用次数: 0

Design and Implementation of Hotspot Network Login Authentication Using QR Code Based on Mikrotik 基于microtik的二维码热点网络登录认证设计与实现

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.835

Febryan Hari Purwanto Hari, Marsidi Amin Amin

{"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}

引用次数: 0

PENERAPAN ALGORITMA TURBO BOYER MOORE DALAM SISTEM PENCARIAN DATA KONSUMEN ASTRA MOTOR CABANG BENGKULU

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.825

Novperan Nando

{"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}

引用次数: 0

The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi 基于先验算法的工程材料采购预测方法的实现。Padat Karya Konstruksi

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.792

Nadia Elisa Suhardi, Maryaningsih Maryaningsih, Rizka Tri Alinse

引用次数: 0

Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center 基于药品总库存和总需求的k -均值聚类方法在Pajar Bulan卫生中心的药物数据聚类

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.784

Robi Saputra, L. Yulianti, Lena Elfianty

{"title":"Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center","authors":"Robi Saputra, L. Yulianti, Lena Elfianty","doi":"10.53697/jkomitek.v2i1.784","DOIUrl":"https://doi.org/10.53697/jkomitek.v2i1.784","url":null,"abstract":"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","PeriodicalId":371693,"journal":{"name":"Jurnal Komputer, Informasi dan Teknologi (JKOMITEK)","volume":"2 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":"130689591","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}

引用次数: 0

The Implementation Of Naive Bayes Method In Classification Of Good And Problem Customers At PT. Adira Finance 朴素贝叶斯方法在PT. Adira金融公司好客户与问题客户分类中的实现

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.789

Titi Gustina, A. Asnawati, I. Kanedi

{"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}

引用次数: 0

Application of Parking Retribution Income Forecasting at PT Bumi Daya Plaza Bengkulu City Using Trend Method Non Linear Squadratic Model 趋势法非线性模型在白古鲁市布米大雅广场停车费收益预测中的应用

Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Pub Date : 2022-06-30 DOI: 10.53697/jkomitek.v2i1.783

Fido Rama Nugraha, Jusuf Wahyudi, Arius Satoni Kurniawansyah

{"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}

引用次数: 0