Metode Deskripsi Untuk Mengetahui Pola Belanja Konsumen Pada Data Penjualan

Internet technology is one part of information technology. The internet can make it easy for anyone to obtain large amounts of data. The abundance of data raises the question of What knowledge can be generated from this data or information?. To gain knowledge from the abundant chunks of data, it can be solved by the method described in the data mining field. The description method is used to describe and describe the patterns of consumer spending. Sales data always has a high number of transactions every day. This large amount of transaction data can be found in the knowledge of the patterns of goods being sold. Data mining has many methods or algorithms that can explore various knowledge. This study seeks to find patterns in consumer transaction data using descriptive methods using Borland Delphi 7.0 and MySQL database. The results of this study can display knowledge-based information in the form of information on average values, mean values, mode values, levels of data diversity, and graphs

Kompleksitas Algoritma Quick Sort Guna Menemukan Efisiensi Waktu Dan Memori

Many algorithm methods slve a problem many research have done various performance of each algorithm, until now has growth rapidly the performance of algorithms in the field of computer science. One of the methods from all of algorithms is used such as the quick sort algorithm.Qucik Sort Algorithm in the process of sorting data used divide and conquer techniques. Divide and conquer techniques can be determined right left or middle pivot. So they have 3 performance such as base case O(n2 log n), worst case O(n2) and average case Tavg = O(n2 log n). In certain, case the worst case was able to work well in place and in virtual memory

Perbandingan Kinerja Algoritma Huffman dan Algoritma Shannon-Fano Dalam Mengkomperesi File Citra

Stored data is increasing in volume. Various data compression algorithms have been researched and developed. The purpose of this study was to compare the performance of the Huffman Algorithm and the Shannon-Fano Algorithm. A comparison of the performance of the compression algorithm is done by testing each image file. The application used to test was built using C ++. Four image file types will be tested using the application that has been built. The file being tested considers the image file type as a compression object. The current image file tends to increase in terms of file size. The results of testing the four image files obtained contain many symbols and frequencies in determining the value of data entropy. The same file tested using the Huffman Algorithm produces better compression gain. The Fish.bmp file uses the Huffman 2.0% algorithm and uses the Shannon-Fano algorithm 1.7%. The greater the entropy, the smaller the gain obtained. For example, the white.bmp file entropy: 0.19693 using the Huffman Algorithm can gain 85.2%. entropy Fish.bmp file 6.87332 can get a 2.0% gain

Rancang Bangun Sistem Informasi Kependudukan Tingkat Desa Menggunakan Model Basisdata Relasional

Current population information is an important part of an area. UU no. 32 of 2004 regulating regional autonomy shows that the quantity of population must be increased from all aspects. Bantul Regency has a majority of population systems at the dukuh or RW level that have not yet been computerized. Currently the obstacle faced is inaccurate information. the government has difficulty in providing counseling, development stimulant funds and welfare of various real sec-tors. Other problems aim to facilitate the implementation of reconstruction and rehabilitation of dukuh or RW-level areas. Pedukuhan Plawonan has ten RT. Currently Plawonan hamlet has approximately 1000 counts of souls consisting of various ages that are still not well recorded. This research intends to overcome these problems. This research attempts to complete using the Relational Database model. With SIMDUK that has been built by the RW, the village can easily obtain the required information quickly, precisely and accurately

Pendekatan Algoritma Apriori Pada Data Mining Untuk Menemukan Pola Belanja Konsumen

Data mining is often used in research-related pattern and knowledge of an information is stored in large-scale databases. Today many companies have large amounts of data was stored in the database. The large-scale databases are only used to generate tabular information fo the needs daily of managers. So it can be called rich data but poor information.Data mining has one assocation method that can generate certain patterns and knowledge of data have an assocate between two itemsets, so it has an if-then property. Algorithm used to produce assocation rule is called apriori.The result of research represent that the apriori algorithm can work optimally to generate pattern the sales transaction. This research represents transaction frequency{2,3} -> {28} has support 10.5%, confidence 66.6% and {7,8} -> {22} has support 10.5%, confidence 66.6%. Both of rules have frequencies often represent quite high with > 2

Penerapan Sistem Informasi Distribusi Bahan Pokok Di Masjid Assalaam Nitikan Kota Yogyakarta

Food as a basic human need whose fulfillment is a basic human right of all Indonesian people must always be available at all times, safe, and diverse at prices that are affordable by people's purchasing power. The issue of scarcity of staple commodities is of serious concern to the Government. The problem is compounded when the community has to implement social restrictions (social distancing) during the Covid-19 disaster response period. During the Covid-19 pan-demic, it had a very broad impact, one of which required residents to worship at their homes during the holy month of Ramadan. The Takmir Mosque of Assalaam Management issued a policy to continue to hold takjil activities. The takjil activity carried out was to provide staples to be distributed to the Assalaam mosque as a menu to break the fast. To support the distribution of staples, community service this time built a web-based information system to manage the distribution of staples for Assalaam Mosque worshipers. This information system is used to monitor the number of recipients of staples, and the distribution is carried out in three stages, at the first stage on April 26, 2020, a number of 173 packages, the second stage on May 5, 2020, a number of 205 packages, and the third stage on May 18, 2020, 205 packages

Memprediksi Daftar Ulang Mahasiswa Baru Menggunakan Algoritma Bayesian Classification Di Universitas XYZ

This study analyzes the PMB data in 2016. The PMB process at XYZ University has several paths, namely Regular, Transfer, and Bidikmisi. When the PMB process difficulties are encountered one of them is the number of prospective students who do not register again is increasing. Based on the identification of problems and information from officers the most important thing is the number of prospective students who do not re-register is increasing every year, thus affecting the impact of the number of PMB receipts. This study resolves these problems using the Bayesian Classification Algorithm so that the opportunity to re-register students can be known earlier. Based on the research conducted, it was concluded that the TDU class was 55% greater than the 45% DU class. This means that prospective students who do not completely re-register all study programs are larger. It was explained that PBSJ study programs 100% no prospective students who re-register. The Economic Education study program still has the opportunity of 75% of prospective students who are DU. 100% Physics Education study program no prospective students register. The Civil Engineering study program has a 25% chance that prospective students will be DU. The Agribusiness Study Program has the opportunity of 75% of prospective students doing DU. The 90% Animal Husbandry Study Program has no chance for prospective students to register. The Psychology study program has the same opportunities as the Animal Husbandry study program which is 90%, there is no chance that prospective students register. For the Law study program, it is possible for 90% of prospective students to register

Kajian Tentang Smart City: Paradigma, Kesempatan, Permasalahan Yang Ada Di Kabupaten Purworejo

In the last ten years, both academics and researchers have been interested in conducting re-search on smart city and its aspects. The results of their research are focused on one point that the leap in information technology that significantly influences the architecture, infrastructure and community patterns of information needs is fast and can be accessed anywhere. This para-digm gave birth to the concept of smart city, which is a well planned city, cost-effective commu-nity services and good governance for the welfare of society.This study aims to provide a comprehensive picture of the smart city concept that depends on geographical, environmental, economic and social constraints. This paradigm provides an overview of the six dimensions of smart city characteristics with aspects of smart living, smart mobility, smart people, smart economy, smart environment, smart government. Modern city life is part of the community in fulfilling their daily needs. People are accustomed to high mobility between cities because of work, entertainment, education, the phenomenon of urbanization and depletion of certain resources.Thanks to the development of information and communication technology, the concept of smart city now provides an opportunity for people to enjoy services, make decisions, find something new and experience many things to improve the quality of life in the smart city era

Rancang Bangun Sistem Informasi Produksi Terracotta di Perusahaan Gerabah Kabupaten Bantul DIY

Terracotta is clay that is processed through several stages until it becomes ceramic handicraft items. Example of terracotta in Kab. Bantul Yogyakarta is located in Kasongan, Kasihan, Bantul. However, in Yogyakarta, there are also several companies engaged in the terracotta sector, which are able to produce independently and then export the results. Currently, the obstacles faced by several terracotta companies in Kab. Bantul Yogyakarta is an irregular and well-administered production data processing process. The main cause is the location or area of ​​the Production Section which is limited and there are no clear dividing boundaries between subsections. Each subsection can claim that the existing data belongs to the relevant subsection. This causes the physical data and data in the administration to be incompatible. Moreover, the process of transferring goods continues even at night. Where in this condition, the transfer of goods may not be recorded properly. To overcome these problems, in this study the constraints in the terracotta company were taken as material in making a prototype application system that is able to process terracotta data well. The result of this research is the realization of an information system to monitor the movement of pottery in the production section. The system can work well even though communication between subsections becomes an obstacle related to the number of pottery stocks produced

Evaluasi Efektivitas Web Portal Dengan Pendekatan Utility System (Studi Kasus: Universitas Muhammadiyah Purworejo)

This research aimed to evaluate portal web University Muhammadiyah Purworejo by using utili-ty system approach. Utility system approach to evaluate portal web from the point of the system effectiveness, firstly proposed by Kendall. This approach captured the perception of the system based on 6 points of view, which are possession, form, place, time, actualization and goal, as well as the scale of measurement using a likert scale and SPSS software. This study uses a re-search instruments with a likert scale questionnaire. The results showed how good the quality of the portal web University Muhammadiyah Purworejo, and any item of utility system that con-tributed the most to improving the quality of the system, as well as proposals that may be submit-ted to the management of portal web to develop more qualified information system