Zulhan Sentoso Sinambela, G. L. Ginting, Permanan Ginting, Fince Tinus Waruwu
Postal code is an official marker element in a region in a country. The postal code was originally only used for the purpose of facilitating work at the post office to sort letters. The general public uses a lot of postal codes to do things like sending goods from one area to another through the post office service, shopping online through the official website, in that activity they are required to fill in the zip code of their destination address or shipping address. In the settlement the author uses the Zhu-Takaoka Algorithm, Zhu-Takaoka is a modified algorithm of the Boyer-Moore algorithm. Algorithm Zhu-Takaoka uses a two-dimensional array to calculate the value of the shift and do the matching from right to left. The design that is expected later this Indonesian postal code application can run well in all devices and Android smartphone versions, and this designed application is also expected to be able to help the general public in finding accurate zip codes by region. Keywords: Postal Code Indonesia, Android, Zhu-Takaoka
{"title":"PERANCANGAN APLIKASI KODE POS INDONESIA BERBASIS MOBILE DENGAN MENERAPAKAN ALGORITMA ZHU-TAKAOKA","authors":"Zulhan Sentoso Sinambela, G. L. Ginting, Permanan Ginting, Fince Tinus Waruwu","doi":"10.30865/komik.v2i1.964","DOIUrl":"https://doi.org/10.30865/komik.v2i1.964","url":null,"abstract":"Postal code is an official marker element in a region in a country. The postal code was originally only used for the purpose of facilitating work at the post office to sort letters. The general public uses a lot of postal codes to do things like sending goods from one area to another through the post office service, shopping online through the official website, in that activity they are required to fill in the zip code of their destination address or shipping address. In the settlement the author uses the Zhu-Takaoka Algorithm, Zhu-Takaoka is a modified algorithm of the Boyer-Moore algorithm. Algorithm Zhu-Takaoka uses a two-dimensional array to calculate the value of the shift and do the matching from right to left. The design that is expected later this Indonesian postal code application can run well in all devices and Android smartphone versions, and this designed application is also expected to be able to help the general public in finding accurate zip codes by region. Keywords: Postal Code Indonesia, Android, Zhu-Takaoka","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131480860","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}
Riyani Wulan Sari, Anjar Wanto, Agus Perdana Windarto
Measles is one of the causes of death in children around the world which always increases every year. Although measles immunization programs have been implemented, the incidence of measles in children is still quite high. This study discusses the Implementation of Rapidminer with the K-Means Method (Case Study: Measles Immunization in Toddlers by Province). The increase in cases of measles in toddlers in Indonesia is a case that has never been separated from the government's attention. Data sources and research were obtained from the Central Statistics Agency (BPS). The data used in this study are data from 2004-2017 which consists of 34 provinces. The cluster process is divided into 3 (three) clusters, namely high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the assessment for cases of immunization against measles based on high cluster province (C1) is 21 provinces for medium cluster (C2) of 12 provinces and for low cluster (C3) of 1 province. The results of the cluster can be used as input for the government, especially the provinces, so that provinces that enter the high cluster receive more attention and increase the socialization of measles immunization against children under five. Keywords: Data Mining, Measles, Clustering, K-means
{"title":"IMPLEMENTASI RAPIDMINER DENGAN METODE K-MEANS (STUDY KASUS: IMUNISASI CAMPAK PADA BALITA BERDASARKAN PROVINSI)","authors":"Riyani Wulan Sari, Anjar Wanto, Agus Perdana Windarto","doi":"10.30865/KOMIK.V2I1.930","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.930","url":null,"abstract":"Measles is one of the causes of death in children around the world which always increases every year. Although measles immunization programs have been implemented, the incidence of measles in children is still quite high. This study discusses the Implementation of Rapidminer with the K-Means Method (Case Study: Measles Immunization in Toddlers by Province). The increase in cases of measles in toddlers in Indonesia is a case that has never been separated from the government's attention. Data sources and research were obtained from the Central Statistics Agency (BPS). The data used in this study are data from 2004-2017 which consists of 34 provinces. The cluster process is divided into 3 (three) clusters, namely high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the assessment for cases of immunization against measles based on high cluster province (C1) is 21 provinces for medium cluster (C2) of 12 provinces and for low cluster (C3) of 1 province. The results of the cluster can be used as input for the government, especially the provinces, so that provinces that enter the high cluster receive more attention and increase the socialization of measles immunization against children under five. Keywords: Data Mining, Measles, Clustering, K-means","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745885","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 North Sumatra Police Board award team headed by the Deputy Chief of Police conducted the election of Ditreskrimsus personnel each month by giving awards to personnel / apparatuses who had real and extraordinary achievements whose results could be proud of and beneficial for the advancement of institutional quality improvement. Decision support systems or often referred to as Multi Criteria Decision Making (MCDM) function to carry out the selection process and assist someone in making accurate and targeted decisions. One method in the MCDM is Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR). Where this method is used to select more than one criterion and has advantages in compromising existing alternatives, then the best results selection process will be carried out, and can complete discretionary decision making. The purpose of this study is to apply the VIKOR method in making decision-making decisions for outstanding personnel in Ditreskrimsus.Keywords: decision support system, ditreskrimsus, vikor
由警察副局长领导的北苏门答腊警察委员会评奖小组每月进行Ditreskrimsus人员的选举，奖励那些取得真正非凡成就的人员/机构，其成果值得自豪，并有利于促进机构质量的改进。决策支持系统或通常被称为多标准决策(MCDM)的功能是执行选择过程并帮助某人做出准确和有针对性的决策。MCDM中的一种方法是Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR)。当该方法用于选择多个标准，并且在折衷现有备选方案方面具有优势时，则将进行最佳结果选择过程，并可以完成自由裁量决策。本研究的目的是将VIKOR方法应用于Ditreskrimsus优秀人才的决策。关键词:决策支持系统，ditreskrisus, vikor
{"title":"SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERSONIL DITRESKRIMSUS BERPRESTASI MENERAPKAN METODE VIKOR (STUDI KASUS: POLDA SUMUT)","authors":"Retnowati Sitanggang, Garuda Ginting","doi":"10.30865/komik.v2i1.959","DOIUrl":"https://doi.org/10.30865/komik.v2i1.959","url":null,"abstract":"The North Sumatra Police Board award team headed by the Deputy Chief of Police conducted the election of Ditreskrimsus personnel each month by giving awards to personnel / apparatuses who had real and extraordinary achievements whose results could be proud of and beneficial for the advancement of institutional quality improvement. Decision support systems or often referred to as Multi Criteria Decision Making (MCDM) function to carry out the selection process and assist someone in making accurate and targeted decisions. One method in the MCDM is Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR). Where this method is used to select more than one criterion and has advantages in compromising existing alternatives, then the best results selection process will be carried out, and can complete discretionary decision making. The purpose of this study is to apply the VIKOR method in making decision-making decisions for outstanding personnel in Ditreskrimsus.Keywords: decision support system, ditreskrimsus, vikor","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100685","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}
PT. Go-Jek Indonesia is a service company. Go-jek online is a technology-based motorcycle taxi service that leads the transportation industry revolution. Predictions on ordering go-jek drivers using data mining algorithms are used to solve problems faced by the company PT. Go-Jek Indonesia to predict the level of ordering of online go-to drivers. In determining the crowded and lonely time. The proposed method is Naive Bayes. Naive Bayes algorithm aims to classify data in certain classes. The purpose of this study is to look at the prediction patterns of each of the attributes contained in the data set by using the naive algorithm and testing the training data on testing data to see whether the data pattern is good or not. what will be predicted is to collect the data of the previous driver ordering, which is based on the day, time for one month. The Naive Bayes algorithm is used to predict the ordering of online go-to-go drivers that will be experienced every day by seeing each order such as morning, afternoon and evening. The results of this study are to make it easier for the company to analyze the data of each go-jek driver booking in taking policies to ensure that both drivers and consumers or customers.Keywords: Go-jek Driver, Data Mining, Naive Bayes
PT. Go-Jek Indonesia是一家服务公司。Go-jek是引领交通产业革命的技术型摩托出租车服务。使用数据挖掘算法预测go-jek司机的订购情况，以解决PT. go-jek Indonesia公司面临的问题，预测在线go-jek司机的订购水平。在决定拥挤和寂寞的时候。所提出的方法是朴素贝叶斯。朴素贝叶斯算法的目的是对数据进行分类。本研究的目的是通过使用朴素算法来查看数据集中包含的每个属性的预测模式，并在测试数据上测试训练数据，以查看数据模式是否良好。预测的内容是收集之前司机的订单数据，这是基于一天，一个月的时间。朴素贝叶斯算法通过查看上午、下午、晚上等每一个订单，预测每天都会经历的在线出行司机的订单情况。本研究的结果是为了使公司更容易分析每个go-jek司机预订的数据，以采取政策，以确保司机和消费者或客户。关键词:Go-jek Driver，数据挖掘，朴素贝叶斯
{"title":"IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PEMESANAN DRIVER GO-JEK ONLINE DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS: PT. GO-JEK INDONESIA)","authors":"Delisman Laia, Efori Buulolo, M. J. Sirait","doi":"10.30865/KOMIK.V2I1.972","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.972","url":null,"abstract":"PT. Go-Jek Indonesia is a service company. Go-jek online is a technology-based motorcycle taxi service that leads the transportation industry revolution. Predictions on ordering go-jek drivers using data mining algorithms are used to solve problems faced by the company PT. Go-Jek Indonesia to predict the level of ordering of online go-to drivers. In determining the crowded and lonely time. The proposed method is Naive Bayes. Naive Bayes algorithm aims to classify data in certain classes. The purpose of this study is to look at the prediction patterns of each of the attributes contained in the data set by using the naive algorithm and testing the training data on testing data to see whether the data pattern is good or not. what will be predicted is to collect the data of the previous driver ordering, which is based on the day, time for one month. The Naive Bayes algorithm is used to predict the ordering of online go-to-go drivers that will be experienced every day by seeing each order such as morning, afternoon and evening. The results of this study are to make it easier for the company to analyze the data of each go-jek driver booking in taking policies to ensure that both drivers and consumers or customers.Keywords: Go-jek Driver, Data Mining, Naive Bayes","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000931","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}
Mhd Gading Sadewo, Agus Perdana Windarto, Anjar Wanto
Natural disasters are natural events that have a large impact on the human population. Located on the Pacific Ring of Fire (an area with many tectonic activities), Indonesia must continue to face the risk of volcanic eruptions, earthquakes, floods, tsunamis. Application of Clustering Algorithm in Grouping the Number of Villages / Villages According to Anticipatory / Natural Disaster Mitigation Efforts by Province With K-Means. The source of this research data is collected based on documents that contain the number of villages / kelurahan according to natural disaster mitigation / mitigation efforts produced by the National Statistics Agency. The data used in this study is provincial data consisting of 34 provinces. There are 4 variables used, namely the Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Line. The data will be processed by clustering in 3 clushter, namely clusther high level of anticipation / mitigation, clusters of moderate anticipation / mitigation levels and low anticipation / mitigation levels. The results obtained from the assessment process are based on the Village / Kelurahan index according to the Natural Disaster Anticipation / Mitigation Efforts with 3 provinces of high anticipation / mitigation levels, namely West Java, Central Java, East Java, 9 provinces of moderate anticipation / mitigation, and 22 other provinces including low anticipation / mitigation. This can be an input to the government, the provinces that are of greater concern to the Village / Village According to the Natural Health Disaster Mitigation / Mitigation Efforts based on the cluster that has been carried out.Keywords: Data Mining, Natural Disaster, Clustering, K-Means
{"title":"PENERAPAN ALGORITMA CLUSTERING DALAM MENGELOMPOKKAN BANYAKNYA DESA/KELURAHAN MENURUT UPAYA ANTISIPASI/ MITIGASI BENCANA ALAM MENURUT PROVINSI DENGAN K-MEANS","authors":"Mhd Gading Sadewo, Agus Perdana Windarto, Anjar Wanto","doi":"10.30865/KOMIK.V2I1.943","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.943","url":null,"abstract":"Natural disasters are natural events that have a large impact on the human population. Located on the Pacific Ring of Fire (an area with many tectonic activities), Indonesia must continue to face the risk of volcanic eruptions, earthquakes, floods, tsunamis. Application of Clustering Algorithm in Grouping the Number of Villages / Villages According to Anticipatory / Natural Disaster Mitigation Efforts by Province With K-Means. The source of this research data is collected based on documents that contain the number of villages / kelurahan according to natural disaster mitigation / mitigation efforts produced by the National Statistics Agency. The data used in this study is provincial data consisting of 34 provinces. There are 4 variables used, namely the Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Line. The data will be processed by clustering in 3 clushter, namely clusther high level of anticipation / mitigation, clusters of moderate anticipation / mitigation levels and low anticipation / mitigation levels. The results obtained from the assessment process are based on the Village / Kelurahan index according to the Natural Disaster Anticipation / Mitigation Efforts with 3 provinces of high anticipation / mitigation levels, namely West Java, Central Java, East Java, 9 provinces of moderate anticipation / mitigation, and 22 other provinces including low anticipation / mitigation. This can be an input to the government, the provinces that are of greater concern to the Village / Village According to the Natural Health Disaster Mitigation / Mitigation Efforts based on the cluster that has been carried out.Keywords: Data Mining, Natural Disaster, Clustering, K-Means","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125865357","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 image is a function of 2 (two) dimensions f (x, y), where x and y are the coordinates that show the space, and the value of f (x, y) is called the image intensity at the coordinates. Digital image is an image that has a limited value of x, y, f (x, y). Digital images consist of a limited number of elements, where each element has coordinates and values. These elements are called pixels (Gonzalez and Woods., 2007). One method of randomization in the image is Arnold Transformation where the image is transformed using a cat map, which is a 2x2 matrix. After transformation, the value of each pixel gets new coordinates until the image does not have its original shape. As a result of the above problems, the author uses the basis of Arnold Transformation, to change the value of the map paint with Fibonacci and Lucas series for designing this application so that the randomization results have a higher level of security. The purpose of this study is (1) to do digital image randomization using Fibonacci and Lucas transforms so that the image does not have its original shape anymore and (2) save the randomized images into storage memory. The benefits of this study are (1) the design of digital image randomization applications, so that image security increases and (2) the effectiveness of the Fibonacci and lucas transformation methods in digital image randomization.Keywords: Image Processing, Fibonacci and Lucas
图像是2(二)维f (x, y)的函数，其中x和y是表示空间的坐标，f (x, y)的值称为坐标处的图像强度。数字图像是具有有限值x, y, f (x, y)的图像。数字图像由有限数量的元素组成，其中每个元素都有坐标和值。这些元素被称为像素(Gonzalez和Woods)。, 2007)。图像随机化的一种方法是Arnold变换，其中图像使用cat映射进行变换，这是一个2x2矩阵。变换后，每个像素的值得到新的坐标，直到图像没有原来的形状。针对以上问题，笔者利用Arnold变换的基础，用Fibonacci和Lucas级数来改变地图绘制的值来设计本应用，使随机化结果具有更高的安全性。本研究的目的是:(1)利用Fibonacci和Lucas变换对数字图像进行随机化，使图像不再具有原始形状;(2)将随机化后的图像保存到存储器中。本研究的好处是:(1)设计了数字图像随机化应用，从而提高了图像的安全性;(2)Fibonacci和lucas变换方法在数字图像随机化中的有效性。关键词:图像处理，斐波那契和卢卡斯
{"title":"PENGACAKAN CITRA DIGITAL DENGAN METODE TRANSFORMASI FIBONACCI DAN LUCAS","authors":"Riah Ukur Ginting, Dini M Hutagalung","doi":"10.30865/KOMIK.V2I1.907","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.907","url":null,"abstract":"The image is a function of 2 (two) dimensions f (x, y), where x and y are the coordinates that show the space, and the value of f (x, y) is called the image intensity at the coordinates. Digital image is an image that has a limited value of x, y, f (x, y). Digital images consist of a limited number of elements, where each element has coordinates and values. These elements are called pixels (Gonzalez and Woods., 2007). One method of randomization in the image is Arnold Transformation where the image is transformed using a cat map, which is a 2x2 matrix. After transformation, the value of each pixel gets new coordinates until the image does not have its original shape. As a result of the above problems, the author uses the basis of Arnold Transformation, to change the value of the map paint with Fibonacci and Lucas series for designing this application so that the randomization results have a higher level of security. The purpose of this study is (1) to do digital image randomization using Fibonacci and Lucas transforms so that the image does not have its original shape anymore and (2) save the randomized images into storage memory. The benefits of this study are (1) the design of digital image randomization applications, so that image security increases and (2) the effectiveness of the Fibonacci and lucas transformation methods in digital image randomization.Keywords: Image Processing, Fibonacci and Lucas","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115115240","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}
Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through certain software devices. In the water environment, light factors greatly influence the results of image quality obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. Underwater imagery is widely used as an object in various activities such as underwater habitat mapping, underwater environment monitoring, underwater object search. Uneven lighting and colors that tend to be bluish and runny. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of improvement in digital images that experience interference in lighting and exposure to sunlight. The lighting repair process uses the retinex method and will compare the quality of the two methods later. Until later the results of both methods can be seen which is better. Retinex method can produce image improvement with high performance.Keywords: Digital Cintra, Underwater, Matlab Retinex Method
{"title":"IMPLEMENTASI METODE RETINEX UNTUK MENINGKATKAN KUALITAS CITRA UNDERWATER","authors":"Bainun Harahap","doi":"10.30865/KOMIK.V2I1.953","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.953","url":null,"abstract":"Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through certain software devices. In the water environment, light factors greatly influence the results of image quality obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. Underwater imagery is widely used as an object in various activities such as underwater habitat mapping, underwater environment monitoring, underwater object search. Uneven lighting and colors that tend to be bluish and runny. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of improvement in digital images that experience interference in lighting and exposure to sunlight. The lighting repair process uses the retinex method and will compare the quality of the two methods later. Until later the results of both methods can be seen which is better. Retinex method can produce image improvement with high performance.Keywords: Digital Cintra, Underwater, Matlab Retinex Method","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132461620","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 problem often faced by radiologists in analyzing thorax fractures through manual x-ray images and requiring a longer time to study the image and radiologists also often have difficulty reading x-ray images that have noise when shooting x-ray and can lead to difficulties in diagnosis. The adaptive median filter method is a suitable problem-solving technique. In the improvement of the quality of the x-ray image, the x-ray image must first be converted into the pixel image value, to get the pixel value from the x-ray image. -ray then determine the matrix value to get the maximum, minimum, median and pixel coordinate values. Then determine whether the pixel value will be replaced with a median value, if not noise then the pixel value is not replaced. The end result of this system is in the form of design in reducing noise on x-ray imagery which is used as an aid in analyzing x-ray images. This system will help radiologists in reading images.Keywords: X-ray image, noise reduction, adaptive median filter
{"title":"PENERAPAN METODE ADAPTIVE MEDIAN FILTER UNTUK MEREDUKSI NOISE PADA CITRA X-RAY","authors":"Wika Pratiwi, Fince Tinus Waruwu","doi":"10.30865/KOMIK.V2I1.917","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.917","url":null,"abstract":"The problem often faced by radiologists in analyzing thorax fractures through manual x-ray images and requiring a longer time to study the image and radiologists also often have difficulty reading x-ray images that have noise when shooting x-ray and can lead to difficulties in diagnosis. The adaptive median filter method is a suitable problem-solving technique. In the improvement of the quality of the x-ray image, the x-ray image must first be converted into the pixel image value, to get the pixel value from the x-ray image. -ray then determine the matrix value to get the maximum, minimum, median and pixel coordinate values. Then determine whether the pixel value will be replaced with a median value, if not noise then the pixel value is not replaced. The end result of this system is in the form of design in reducing noise on x-ray imagery which is used as an aid in analyzing x-ray images. This system will help radiologists in reading images.Keywords: X-ray image, noise reduction, adaptive median filter","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637462","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}
National culture is a precious national heritage, so it must be preserved. The government continues to strive to preserve national culture, the introduction of national culture among students by implementing cultural learning curricula in schools. In addition, the government also holds events such as cultural festivals. However, the efforts made still have weaknesses such as Learning through textbooks is also considered boring and less attractive to students. The cultural festival program is only accessible for the surrounding community so creative solutions are needed as a medium for cultural learning in schools and a means to introduce a culture that can be reached by all people. One of the media that can be used is through games. Games that are currently very easy to play and very familiar in the community are onet games. The purpose of this study was to design the game Onet Wawasan Nusantara (OWA). One method that can be used to design a game is Digital Games Based Learning-Instructional Design (DGBL-ID) which consists of analysis, design, development, quality assurance and implementation stages. The method was chosen because it can integrate the cultural learning curriculum into the game, so that the game not only serves as an entertainment facility, but also has an educational element in it. The results of this study are game design that can be the basis for further game development. In the long run, if this game can be implemented and used by the community (Indonesia), it will be a creative solution that supports government efforts to maintain and preserve national culture.Keywords: edugame, national culture, DGBL-ID
{"title":"DESAIN GAME EDUKASI ‘ONET WAWASAN NUSANTARA’ (OWA)","authors":"Eka Prasetya Adhy Sugara, M. Mustika","doi":"10.30865/KOMIK.V2I1.913","DOIUrl":"https://doi.org/10.30865/KOMIK.V2I1.913","url":null,"abstract":"National culture is a precious national heritage, so it must be preserved. The government continues to strive to preserve national culture, the introduction of national culture among students by implementing cultural learning curricula in schools. In addition, the government also holds events such as cultural festivals. However, the efforts made still have weaknesses such as Learning through textbooks is also considered boring and less attractive to students. The cultural festival program is only accessible for the surrounding community so creative solutions are needed as a medium for cultural learning in schools and a means to introduce a culture that can be reached by all people. One of the media that can be used is through games. Games that are currently very easy to play and very familiar in the community are onet games. The purpose of this study was to design the game Onet Wawasan Nusantara (OWA). One method that can be used to design a game is Digital Games Based Learning-Instructional Design (DGBL-ID) which consists of analysis, design, development, quality assurance and implementation stages. The method was chosen because it can integrate the cultural learning curriculum into the game, so that the game not only serves as an entertainment facility, but also has an educational element in it. The results of this study are game design that can be the basis for further game development. In the long run, if this game can be implemented and used by the community (Indonesia), it will be a creative solution that supports government efforts to maintain and preserve national culture.Keywords: edugame, national culture, DGBL-ID","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133265578","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}
Sri Handayani Sianipar, Fince Tinus Waruwu, L. Sianturi
Ulos batak toba is one of indonesia traditional fabric, precisely the traditional cloth of the batak toba. From time to time the ulos fabric was growing in terms of type and motif. One of the companies that produces ulos batak is cv. Ala dos roha. The authors conducted this study aimed at predicting the amount of production of ulos batak to produced later. The author uses the previous request, inventory and production data using fuzzy logic tsukamoto. The final result of the calculation with this method will be more effective and efficient so as to speed up the decision making time to predict the amount of production to be produced next.Keywords: prediction, amount of production, method of tsukamoto
乌洛斯巴塔克托巴是印度尼西亚的传统织物之一，确切地说是巴塔克托巴的传统布料。ulos面料不时在类型和图案方面有所发展。其中一家生产ulos batak的公司是cv。Ala do roha。作者进行这项研究的目的是预测以后生产的乌龙鱼的产量。笔者利用之前的请求，将库存和生产数据运用模糊逻辑冢本。使用该方法计算的最终结果将更加有效和高效，从而加快决策时间，预测下一步的产量。关键词:预测，产量，冢本方法
{"title":"MEMPREDIKSI JUMLAH PRODUKSI ULOS BATAK DENGAN MENGGUNAKAN LOGIKA FUZZY DENGAN METODE TSUKAMOTO (Studi Kasus Cv. Ala Dos Roha)","authors":"Sri Handayani Sianipar, Fince Tinus Waruwu, L. Sianturi","doi":"10.30865/komik.v2i1.911","DOIUrl":"https://doi.org/10.30865/komik.v2i1.911","url":null,"abstract":"Ulos batak toba is one of indonesia traditional fabric, precisely the traditional cloth of the batak toba. From time to time the ulos fabric was growing in terms of type and motif. One of the companies that produces ulos batak is cv. Ala dos roha. The authors conducted this study aimed at predicting the amount of production of ulos batak to produced later. The author uses the previous request, inventory and production data using fuzzy logic tsukamoto. The final result of the calculation with this method will be more effective and efficient so as to speed up the decision making time to predict the amount of production to be produced next.Keywords: prediction, amount of production, method of tsukamoto","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142751","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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