Penerapan Metode Fuzzy Tsukamoto Dalam Penentuan Harga Laptop Bekas

The wisdom in taking a decision on a particular problem is not an easy thing, because too much consideration is taken which is expected to help give a reason certain decisions must be taken. Likewise, the handling of the problem determines the price of used laptop units on the CV. Sumber Jaya Computer Medan. The type of used laptop that is determined by the price will be easier if it is done with an application, because it has done an assessment, then the things needed are like the quality of a used laptop according to the price, processor, hard disk, memory, VGA, Old Usage. Decision support system for determining a leptop price is very appropriate to be applied for handling problems that require self-resolution of computers for processing data specifications that follow selection with efficient and accurate calculations. By using Tsukamoto Fuzzy Logic reasoning in the processing of input and output data, as well as supporting information how much ranking is very supportive in making decisions to determine the price of a used laptop.

Penerapan Metode K-Means Clustering Untuk Daging Ayam Buras

Free-range chicken is a local Indonesian poultry whose population is widely found in every region of Indonesia. However, the level of consumption of free-range chicken meat in North Sumatra Province is still relatively low. This research data contains data on the production of free-range chicken in North Sumatra Province. One data mining technique is clustering. Grouping itself is a method by grouping data. The data of this study contains data on the production of free-range chicken in North Sumatra Province which began in 2010, 2011, 2012, 2013, 2014, 2017. (7 years), and data obtained from the Directorate General of Animal Husbandry and Animal Health as well as on animal access to BPS Sumatra site North (Central Statistics Agency). The purpose of this study is to group Regencies / Cities in North Sumatra Province into 2 parts. These are the Regency / City group with high free-range chicken meat and Regency / City with low-free chicken meat. This can be a contribution of the provincial government of North Sumatra, Regency / City which is of more concern than free-range chicken based on the cluster that has been done. The results of this research are taken from 33 data of free-range chicken meat in regencies / cities in North Sumatra province, 3 high-level districts, namely: Mandailing Natal, Langkat, Serdang Bedagai and 30 other regencies / cities including

Penerapan Algoritma Elias Delta Codes Dalam Kompresi File Teks

File size or large files are not only a problem in terms of storage, but also another problem when communication between computers. Data usage with a larger size will take longer transfer times compared to data that has a smaller size. Therefore to overcome this problem you can use data compression. Seeing the compression of data compression, data compression is needed that can reduce the size of the data, so that it gains the advantage of reducing the use of external storage media space, accelerating the process of transferring data between storage media, data utilization used in this study is the elias delta codes algorithm. Compression is a method used to reduce the bit or data from the original result to a new result. Where this compression will be applied into the algorithm, the elias delta codes algorithm. After getting the results of the compression it will be designed into Microsoft Visual Studio 2008

Penerapan Algoritma K-Means Dalam Pengelompokan Data Penduduk Miskin Menurut Provinsi

Proverty is one of the problems that inhibits national and regional growth. This research uses data mining techniques. In this study tha data used were sourced from the 2012-2018 statistical center. The research uses data mining techniques. In the data processing using k-means method. K-means method is a method of grouping existing data into several groups where the data in one group has the same characteristics with each other and has different characteristics from the data in other groups. The number of records used is 34 provinces which are divided into 2 clusters namely high and low clusters. The purpose of this study is divided into 2 parts, namely the provincial group with a high proverty rate and the provincial group with the lowest proverty level. From the result of grouping there were 8 provinces of high cluster and 26 low clusters. It is hoped that this research can provide input to the government so that it can give more attention to provinces that are categorized as high in proverty

Sistem Informasi Lowongan Kerja di Kota Sampit Berbasis Web

The need for information is very much needed in line with the rapid technological advances in modern times such as today, especially the use of computerized systems that propagate in all fields. So, every Human Resource (HR) must always be required to fulfill the expertise, skills and abilities in running a computer hardware or software. In the field of information delivery services to companies or agencies that require labor, such as those in Sampit City, Central Borneo, currently information is conveyed only through several media such as newspapers, magazines, and information obtained by word of mouth. This makes it difficult to find accurate information for job applicants, and for companies it is also difficult to find prospective employees in a time efficient manner because it is still done without an information system. With the development of information technology, it is necessary to provide an Information System to solve problems in delivering job information directly from companies. With this Information System, applicants will also find it easy to receive information, submit job application files, and take written tests online. And the company will get employees in an effective and time-efficient way, starting from the delivery of information, file selection, written tests and passing results from written tests that can be processed directly through this information system.

Penerapan Metode Ripple Down Rules Untuk Mendiagnosa Penyakit Hamster

Hamsters are one of the many animals that are owned and are beginning to attract many people. Over time, hamsters began to be known as pets. Hamasters are also susceptible to disease. Diseases in hamsters and symptoms that cause very much, the problem now is not only need to know the cause of the disease but the important thing is to know quickly the disease suffered is also overcome so that the disease can be treated. Expert system which is one branch of artificial intelligence, capable of acting as experts in certain fields of study, researchers think animal health workers to help diagnose disease in hamsters as early as possible. The Ripple Down Rule (RDR) method is one method that has expert system inference / search capabilities and knowledge acquisition. By using RDR a system will be able to identify the disease as an expert with clinical symptoms such as input. The expert system for diagnosing disease in hamsters uses the Ripple Down Rules (RDR) method to explore the symptoms displayed in the form of questions in order to diagnose the type of hasmter's illness, to get results for treatment and to cure hasmter disease.

Sistem Informasi Geografis Apotek di Kotawaringin Timur Berbasis Web

Geographical Information System is an information system that is specialized in processing data that has spatial information (spatial reference). In a narrower sense, a Geographical Information System is a computer system that has the ability to build, store, manage and display geographic information, for example, data that is identified according to its location in a database. The purpose of this geographic information system is to find out information on the location of the distribution of pharmacies and drug data information in East Kotawaringin, so as to help people and people who are not native to East Kotawaringin. The development of a web-based pharmacy geographic information system in East Kotawaringin uses the programming language PHP and MySQL as the database system.

Penerapan Metode Preference Selection Index Dalam Pemilihan Teller Terbaik

In the era of globalization which is laden with competition, good service quality is a concern for companies that want to continue to exist, especially companies in the service sector such as banks in Indonesia. Institutions with low service quality will be less desirable or even abandoned by customers. Therefore, identification of service quality characteristics is needed in an effort to improve service quality. One of them is the teller who plays the most important role in customer service. Of course the selection of the best tellers must be done as well as possible. Based on these problems, the PSI method used in this study is to determine the teller by considering aspects of the determination that has been determined by the Bank. The aspects of determination which are the basis of determination by the Bank in determining the best teller are attitude, skill and appearance. By using the PSI method it is expected to be able to assist the leadership of the CIMB Niaga Bank in determining the teller process so that it is faster and more effective. Become a reference for research related to the Bank.

Penerapan Algoritma Punctured Elias Codes Dalam Kompresi Citra

In the process of managing multiple images or images, with larger image sizes or images that can hold longer storage and larger storage, it is needed more often as it cannot be contained on storage media and is not conveyed, thus opening up free space in memory storage media. So to make a lot of free space and have a data size that is not large on the storage media, a compression method is needed which means to shorten the required bit size. Punctured Elias Algorithm Code can be used to obtain information about the compression performed by compressing images to provide benefits in storage and requires more memory space compared to uncompressed images.

Implementasi Aplikasi Perpustakaan Online Pada Sekolah Menengah Kejuruan Berbasis Model UML

Implementation of a computerized book lending data collection system can run better and more efficiently than manual systems, and can minimize paper usage. Data collection systems such as borrowing and returning books are still done manually, namely by recording borrowing and returning transactions in the book. Manual recording method like this is considered less effective and efficient, because it can consume time and librarian personnel in terms of manual data collection. Therefore, with computers and the internet, by making an online library application it will be able to provide satisfying services for students and assist librarians in processing book data collection. Through a computerized data collection system such as building an online library application website, it can help librarians in the process of collecting data and making reports that are more effective and efficient, and can make it easier for students who want to find books and borrow books in the library more easily. So the implementation of the online library application website is a good solution to make it easier to solve this problem. In this study, a website was created to carry out borrowing transactions and book data collection in the library, then a search engine was created which made it easy for users to become books according to the title. This implementation uses the UML (unified Modeling Language) method, where the UML method will create class diagrams, use case diagrams, activity diagrams, to explain the behavior of the system to be used in library applications. whose function can produce a good website.