Pub Date : 2019-12-02DOI: 10.30865/komik.v3i1.1668
Anggi Eryzha, S. Solikhun, Eka Irawan
Smartphones are a primary need for all upper class and lower class people. As these needs are many smartphone vendors that offer different prices, features, systems and technologies at competitive prices. Many people want specifications that are capable but limited in financial terms. This causes smartphone users not to be able to make the right choice according to their needs because the frequent selection of smartphones is based on prestige and consumer consumptive behavior. The TOPSIS method is a multicriteria method used to identify solutions from alternative sets based on simultaneous minimization of the ideal point distance and maximizing the distance from the lowest point. The expected results can be input to potential smartphone buyers in accordance with their finances and qualified specifications.Keywords: Decision Support System, Topsis Method, Smartphone.
{"title":"SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE TOPSIS","authors":"Anggi Eryzha, S. Solikhun, Eka Irawan","doi":"10.30865/komik.v3i1.1668","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1668","url":null,"abstract":"Smartphones are a primary need for all upper class and lower class people. As these needs are many smartphone vendors that offer different prices, features, systems and technologies at competitive prices. Many people want specifications that are capable but limited in financial terms. This causes smartphone users not to be able to make the right choice according to their needs because the frequent selection of smartphones is based on prestige and consumer consumptive behavior. The TOPSIS method is a multicriteria method used to identify solutions from alternative sets based on simultaneous minimization of the ideal point distance and maximizing the distance from the lowest point. The expected results can be input to potential smartphone buyers in accordance with their finances and qualified specifications.Keywords: Decision Support System, Topsis Method, Smartphone.","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122424490","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 : 2019-12-02DOI: 10.30865/komik.v3i1.1659
Bambang Riyanto
The health office is in charge of instructing and registering diarrhea sufferers in each region, then the area will be evaluated which areas are most affected by diarrhea. And checking directly into the field revealed that the most basic cause was about the unclean environment such as trenches that were too much garbage, causing floods during the rainy season. The health office also encourages the community to always maintain environmental cleanliness and familiarize people to always wash their hands with soap before eating and after cleaning with simple things like this is expected to help reduce diarrhea sufferers in the city of Medan. K-Medoids Clustering is clustering algorithm which is similar to K-Means. The difference between these two algorithms is the K-Medoids or PAM algorithm uses the object as a representative (medoid) as the center of the cluster for each cluster, while the K-Means uses the mean (mean) as the center of the cluster.Keywords: Diarrhea, Service office, Data mining, K-Medoids Algorithm
{"title":"PENERAPAN ALGORITMA K-MEDOIDS CLUSTERING UNTUK PENGELOMPOKKAN PENYEBARAN DIARE DI KOTA MEDAN (STUDI KASUS: KANTOR DINAS KESEHATAN KOTA MEDAN)","authors":"Bambang Riyanto","doi":"10.30865/komik.v3i1.1659","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1659","url":null,"abstract":"The health office is in charge of instructing and registering diarrhea sufferers in each region, then the area will be evaluated which areas are most affected by diarrhea. And checking directly into the field revealed that the most basic cause was about the unclean environment such as trenches that were too much garbage, causing floods during the rainy season. The health office also encourages the community to always maintain environmental cleanliness and familiarize people to always wash their hands with soap before eating and after cleaning with simple things like this is expected to help reduce diarrhea sufferers in the city of Medan. K-Medoids Clustering is clustering algorithm which is similar to K-Means. The difference between these two algorithms is the K-Medoids or PAM algorithm uses the object as a representative (medoid) as the center of the cluster for each cluster, while the K-Means uses the mean (mean) as the center of the cluster.Keywords: Diarrhea, Service office, Data mining, K-Medoids Algorithm","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114573751","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 : 2019-12-02DOI: 10.30865/komik.v3i1.1691
Dicky Hartama Sinaga, Heru Satria Tambunan, J. Jalaluddin
Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor
{"title":"SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN)","authors":"Dicky Hartama Sinaga, Heru Satria Tambunan, J. Jalaluddin","doi":"10.30865/komik.v3i1.1691","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1691","url":null,"abstract":"Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115919121","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 : 2019-11-27DOI: 10.30865/komik.v3i1.1658
Rahma Dewi
PMI (Indonesian Red Cross) is a national association organization in Indonesia engaged in the field of social humanity. In carrying out its duties PMI does not make a difference but rather prioritizes victims who most need immediate help for the safety of their souls. The Indonesian Red Cross Office (PMI) Medan provides a reward or award with the aim of improving the performance of the blood distribution process in charge, and to determine the priority of blood distribution, alternatives and criteria are needed to become a reference in the selection process. Decision Support System is one way that can be used in the priority process of blood distribution. In this study, the authors used the Extended Promethee II (Exprome II) method to find the weight value of the criteria, and to find the final value or to find the priority value of blood distribution. Thus a Decision Support System is needed in order to help the Indonesian Red Cross (PMI) Medan to determine the priority of blood distribution.Keywords: Decision Support System, The Extended Promthee II, Priority Selection of Blood distribution
印度尼西亚红十字会(PMI)是印度尼西亚从事社会人道领域工作的全国性协会组织。在执行其职责时，PMI并没有发挥作用，而是优先考虑最需要立即帮助的受害者，以确保他们的灵魂安全。印尼红十字会办公室(PMI)棉兰提供奖励或奖励，目的是改善负责的血液分配过程的绩效，并确定血液分配的优先次序，备选方案和标准，以成为选择过程中的参考。决策支持系统是一种可以在血液分配优先过程中使用的方法。本研究采用扩展Promethee II (Exprome II)法求各指标权重值，求最终值或求血液分布优先值。因此，需要一个决策支持系统来帮助印尼红十字会棉兰分会确定血液分配的优先次序。关键词:决策支持系统，扩展Promthee II，血液分配优先选择
{"title":"SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PRIORITAS PENDISTRIBUSIAN DARAH MENERAPKAN METODE THE EXTENDED PROMETHEE II PADA KANTOR PALANG MERAH INDONESIA(PMI)","authors":"Rahma Dewi","doi":"10.30865/komik.v3i1.1658","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1658","url":null,"abstract":"PMI (Indonesian Red Cross) is a national association organization in Indonesia engaged in the field of social humanity. In carrying out its duties PMI does not make a difference but rather prioritizes victims who most need immediate help for the safety of their souls. The Indonesian Red Cross Office (PMI) Medan provides a reward or award with the aim of improving the performance of the blood distribution process in charge, and to determine the priority of blood distribution, alternatives and criteria are needed to become a reference in the selection process. Decision Support System is one way that can be used in the priority process of blood distribution. In this study, the authors used the Extended Promethee II (Exprome II) method to find the weight value of the criteria, and to find the final value or to find the priority value of blood distribution. Thus a Decision Support System is needed in order to help the Indonesian Red Cross (PMI) Medan to determine the priority of blood distribution.Keywords: Decision Support System, The Extended Promthee II, Priority Selection of Blood distribution","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127170845","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1585
H. Siburian, Efori Buulolo, Hukendik Hutabarat
The North Sumatra Language Center also organizes an Indonesian language program for foreign speakers (BIPA) is an Indonesian language learning skills program (speaking, writing, reading, and listening) for foreign speakers. That so far the Balai Bahasa office has had difficulty classifying the graduation of Indonesian Foreign Speakers (BIPA) participants who are eligible to pass and who have not passed. So that complaints occur from participants.To overcome the above problems, it is necessary to classify graduation based on previous BIPA participant data. K-Nearest Neigbor Euclidean Distance model which is a method for classifying / grouping an object based on certain criteria. By using the K-Nearest neigbor algorithm in grouping BIPA participants by using various criteria, it is hoped that foreigners can speak Indonesian more quickly.Keywords: Indonesian Foreign Speakers, K-Nearest Neigbor Algorithm
{"title":"ALGORITMA K-NEAREST NEIGBOR MODEL EUCLIDEAN DISTANCE DALAM KLASIFIKASI KELULUSAN PESERTA BAHASA INDONESIA PENUTUR ASING PADA BALAI BAHASA SUMATERA UTARA","authors":"H. Siburian, Efori Buulolo, Hukendik Hutabarat","doi":"10.30865/komik.v3i1.1585","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1585","url":null,"abstract":"The North Sumatra Language Center also organizes an Indonesian language program for foreign speakers (BIPA) is an Indonesian language learning skills program (speaking, writing, reading, and listening) for foreign speakers. That so far the Balai Bahasa office has had difficulty classifying the graduation of Indonesian Foreign Speakers (BIPA) participants who are eligible to pass and who have not passed. So that complaints occur from participants.To overcome the above problems, it is necessary to classify graduation based on previous BIPA participant data. K-Nearest Neigbor Euclidean Distance model which is a method for classifying / grouping an object based on certain criteria. By using the K-Nearest neigbor algorithm in grouping BIPA participants by using various criteria, it is hoped that foreigners can speak Indonesian more quickly.Keywords: Indonesian Foreign Speakers, K-Nearest Neigbor Algorithm","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121691297","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1611
Amir Maniur Silitonga, Surya Darma Nasution, P. Ramadhani
Image file size is sometimes relatively large where the better the quality of the image produced, the pixel shape needed to record the image is bigger. With a very large image file size, at the time of the transfer process the transfer process could fail because the storage space media exceeds its limit. As for the Solution in this problem is how the image file can be compressed in order to accelerate the transfer and storage of image files. compression on image files is done by reducing the shape of the image file by reducing the bit in the image file, but does not eliminate the information data in it. By running compression, large files will shrink in size so that it can save storage space. In this study, the algorithm used is Subexponential Code, by using this method, the compression results from the k value have different results from each value, and the compression results will be advantageous in sending, and transferring image files will be easier.Keywords: image file compression, subexponential code algorithm
{"title":"IMPLEMENTASI ALGORITMA SUBEXPONENTIAL CODE UNTUK KOMPRESI FILE GAMBAR","authors":"Amir Maniur Silitonga, Surya Darma Nasution, P. Ramadhani","doi":"10.30865/komik.v3i1.1611","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1611","url":null,"abstract":"Image file size is sometimes relatively large where the better the quality of the image produced, the pixel shape needed to record the image is bigger. With a very large image file size, at the time of the transfer process the transfer process could fail because the storage space media exceeds its limit. As for the Solution in this problem is how the image file can be compressed in order to accelerate the transfer and storage of image files. compression on image files is done by reducing the shape of the image file by reducing the bit in the image file, but does not eliminate the information data in it. By running compression, large files will shrink in size so that it can save storage space. In this study, the algorithm used is Subexponential Code, by using this method, the compression results from the k value have different results from each value, and the compression results will be advantageous in sending, and transferring image files will be easier.Keywords: image file compression, subexponential code algorithm","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555254","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1631
M. Iqbal, Taronisokhi Zebua, Ronda Deli Sianturi
Optimizing the security of confidential text messages is very important to protect the contents of messages from those who want to use or damage the message. The use of cryptographic techniques in securing data can still raise suspicion of the message that has been secured. This study explores how to use steganography techniques to coat encrypted message security based on steganography techniques. The spritz algorithm is a cryptographic algorithm that is used to obtain the cipher from the original message, while the spread spectrum method is a method used to hide the original data password into an image. Based on testing done by combining these two techniques, it is quite reliable to optimize the security of secret messages because others cannot see the existence of the cipher of the original data in plain sight.Keywords: Cryptography, Steganography, Spritz, Spread Spectrum, mp3
{"title":"IMPLEMENTASI ALGORITMA SPRITZ DAN SPREAD SPECTRUM UNTUK MENYEMBUYIKAN PESAN ENKRIPSI KEDALAM FILE AUDIO MP3","authors":"M. Iqbal, Taronisokhi Zebua, Ronda Deli Sianturi","doi":"10.30865/komik.v3i1.1631","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1631","url":null,"abstract":"Optimizing the security of confidential text messages is very important to protect the contents of messages from those who want to use or damage the message. The use of cryptographic techniques in securing data can still raise suspicion of the message that has been secured. This study explores how to use steganography techniques to coat encrypted message security based on steganography techniques. The spritz algorithm is a cryptographic algorithm that is used to obtain the cipher from the original message, while the spread spectrum method is a method used to hide the original data password into an image. Based on testing done by combining these two techniques, it is quite reliable to optimize the security of secret messages because others cannot see the existence of the cipher of the original data in plain sight.Keywords: Cryptography, Steganography, Spritz, Spread Spectrum, mp3","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129967764","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1642
Sri Hardiyanti
In modern times, barbershop aka men's shaving places is the main choice of modern men to style their hair. The results showed that the popularity of Barbershop itself is due to the trend of the haircut, the classic hairdo. Classic hairstyle trends are also supported by the media which has a positive impact on popularity, hair fashion as a priority, knowledge about fashion is getting better, pomade trends. In general, customers want to get the best quality of services provided.Changes in customer haircuts or Barbershop customers are usually caused by changing trends or because they want to find new models that are more age-appropriate. The haircut catalog is a book that contains information on various haircut models that are made in the form of pictures and names of haircuts, where the names of haircuts are generally made in English.The problem that can occur in cutting hair is the lack of desires of the customer to the results of the hair stylist cut, it happens because the customer does not understand or do not remember the name of the desired haircut model. Crochemore Perrin's algorithm factored the right pattern so that pattern = right pattern left pattern. The matching phase of this algorithm consists of two parts, first matching the right pattern character from left to right, then matching the left pattern from right to left.Keywords: Barbershop, Android, Catalog, Crochemore Perrin
{"title":"PERANCANGAN APLIKASI MOBILE CATALOG MODEL RAMBUT DENGAN MENERAPKAN ALGORITMA CROCHEMORE PERRIN","authors":"Sri Hardiyanti","doi":"10.30865/komik.v3i1.1642","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1642","url":null,"abstract":"In modern times, barbershop aka men's shaving places is the main choice of modern men to style their hair. The results showed that the popularity of Barbershop itself is due to the trend of the haircut, the classic hairdo. Classic hairstyle trends are also supported by the media which has a positive impact on popularity, hair fashion as a priority, knowledge about fashion is getting better, pomade trends. In general, customers want to get the best quality of services provided.Changes in customer haircuts or Barbershop customers are usually caused by changing trends or because they want to find new models that are more age-appropriate. The haircut catalog is a book that contains information on various haircut models that are made in the form of pictures and names of haircuts, where the names of haircuts are generally made in English.The problem that can occur in cutting hair is the lack of desires of the customer to the results of the hair stylist cut, it happens because the customer does not understand or do not remember the name of the desired haircut model. Crochemore Perrin's algorithm factored the right pattern so that pattern = right pattern left pattern. The matching phase of this algorithm consists of two parts, first matching the right pattern character from left to right, then matching the left pattern from right to left.Keywords: Barbershop, Android, Catalog, Crochemore Perrin","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"815 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995442","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1592
Agung Dwi Pradana, I. Saputra
The large amount of data that has been stored in memory or hard disk will result in increasing the amount of usage capacity on the storage media. Large file sizes can also affect the time of sending or transferring data between storage media. Therefore humans conduct a study in order to have alternative ways to overcome these problems, one of them is by means of compression techniques. In this research, an image file compression application program was built using the interpolative coding method. In building applications using Visual Basic.Net software. The construction of this application is expected to reduce storage media capacity usage. In this testing phase is done with an image file type that is a test file with RGB color type.Keywords: Compression, Image file, Interpolative Coding Algorithm
{"title":"PENERAPAN ALGORITMA INTERPOLATIVE CODING PADA APLIKASI KOMPRESI FILE GAMBAR","authors":"Agung Dwi Pradana, I. Saputra","doi":"10.30865/komik.v3i1.1592","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1592","url":null,"abstract":"The large amount of data that has been stored in memory or hard disk will result in increasing the amount of usage capacity on the storage media. Large file sizes can also affect the time of sending or transferring data between storage media. Therefore humans conduct a study in order to have alternative ways to overcome these problems, one of them is by means of compression techniques. In this research, an image file compression application program was built using the interpolative coding method. In building applications using Visual Basic.Net software. The construction of this application is expected to reduce storage media capacity usage. In this testing phase is done with an image file type that is a test file with RGB color type.Keywords: Compression, Image file, Interpolative Coding Algorithm","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969649","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 : 2019-11-25DOI: 10.30865/komik.v3i1.1586
Jamillah Nasution, Muhammad Syahrizal
Desa Lama Health Center is a community health service center for first aid for local communities who want to seek treatment or consult about their health, which serves all public health problems in the fields of childbirth, treatment, outpatient care, hospitalization, baby posyandu and so forth. Decision Supporter. The problems faced by the Old Village Health Center are still using manual methods, especially in determining the recommendation of candidates for Head of the Health Center. On this occasion the authors propose to make decisions for the selection of candidates for the head of the puskesmas using Microsoft Visual Studio 2008. From the results of prospective head centers using the Decision Support System by using the multi attribute utility theory(MAUT) method to facilitate employed in datermining the best decisions in Puskesmas Desa Lama Sei Lepan.Keywords: SPK Recommendation of Candidate Head of Puskesmas, MAUT
德萨喇嘛保健中心是一个社区保健服务中心，为想要寻求治疗或咨询健康的当地社区提供急救，服务于分娩、治疗、门诊、住院、婴儿护理等领域的所有公共卫生问题。决策支持。老村保健中心面临的问题仍然是使用人工方法，特别是在确定保健中心主任候选人的推荐方面。在这种情况下，作者建议使用Microsoft Visual Studio 2008来选择puskesmas负责人候选人。从前瞻性领导中心使用决策支持系统的结果出发，利用多属性效用理论(MAUT)方法方便地在Puskesmas Desa Lama Sei Lepan中采用数据确定最佳决策。关键词:SPK推荐Puskesmas候选负责人
{"title":"SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI CALON KEPALA PUSKESMAS MENGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) (STUDI KASUS: PUSKESMAS DESA LAMA SEI LEPAN)","authors":"Jamillah Nasution, Muhammad Syahrizal","doi":"10.30865/komik.v3i1.1586","DOIUrl":"https://doi.org/10.30865/komik.v3i1.1586","url":null,"abstract":"Desa Lama Health Center is a community health service center for first aid for local communities who want to seek treatment or consult about their health, which serves all public health problems in the fields of childbirth, treatment, outpatient care, hospitalization, baby posyandu and so forth. Decision Supporter. The problems faced by the Old Village Health Center are still using manual methods, especially in determining the recommendation of candidates for Head of the Health Center. On this occasion the authors propose to make decisions for the selection of candidates for the head of the puskesmas using Microsoft Visual Studio 2008. From the results of prospective head centers using the Decision Support System by using the multi attribute utility theory(MAUT) method to facilitate employed in datermining the best decisions in Puskesmas Desa Lama Sei Lepan.Keywords: SPK Recommendation of Candidate Head of Puskesmas, MAUT","PeriodicalId":246167,"journal":{"name":"KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132507143","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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