Market basket analysis may be a technique identify the association between couple’s products purchased jointly and identify cases. Scene an occurrence is when two or more things happening. Market basket analysis makes rules if-then, scenario for instance, if an item purchased a and b will likely. bought items rule is probability in nature or, in other words, they are available from the incident. In observation the frequency is that the proportion of a basket of things which will be employed interesting. Rule, price, product placement and various varieties of cross-selling strategy. In order to create it easier to grasp, think in terms of market research handbasket in a very supermarket. Market basket analysis taking data on the transactions containing an inventory of all items that bought by customers in a very purchase. The technique is ascertaining the relations which product bought on other products. This relationship then wont to construct the containing the if-then items purchased. Market basket analysis also called a rule association or analysis affinity, learning may be a technique data processing can be used in numerous fields, as education, marketing, informatics and science. The aim is to include retailer’s awareness of buyers’ actions in order for the retailers with knowledge about the actions of purchasers, which will allow the tailor to make the right choices. All of the numerous market basket algorithms available to try to do. Algorithms, whose current work is on statics and which did not catch data changes in time, but algorithms not only intended to mine static information, but also provided new ways of calculating modifications on paper-listed association processing rules, and provide new algorithms that could stimulate market engagement and encourage up-selling.
Human Development Index (HDI) is the comparative of life expectancy, education and standard of living to all countries. Human Development Index used as an indicator to assess the quality of the construction. Human Development Index may also be used to classify the city or state whether a country of developed countries, developing countries, or the state of underdeveloped and as well as to gauge the effects of economic policy on the quality of life. In the study is done capability of classifications Human Development Index in Indonesia. Methods Used to know Classifications of Human Development Index this is using Support Vector Machines algorithms base Particle Swarm Optimization. Support Vector Machine algorithms based Particle Swarm Optimization is a-method that has the capacity for the Classification of Human Development Index data. In research was built model of Support Vector Machines algorithms based Particle Swarm Optimization. Results from the human development index is in the country or province 24 96 data not be in class, very high with human development index is at the high is 952, data while in the medium is 2018 data and there are at the level of low 201 data with an accuracy to 96.26 %, weighted mean recall 97.74 %, weighted mean precision 99.09.
The use of websites as a medium for disseminating information is a matter that is familiar in this era of digital technology. Telkom University which is a tertiary institution in Indonesia which often carries digital themes in its campus certainly does not want to be left behind in the use of websites as a medium for disseminating information and marketing for the community. This study aims to analyze the quality of the information system on the smb.telkomunivesity.ac.id New Student Selection website which is used as an information center for admission of new students as well as registration for Telkom University entrance selection with indicators of McCall's information system quality factors. Based on the results of the study, the smb.telkomuniversity website is concluded to be a good quality website and can provide benefits for its users
Pengguna internet di Indonesia cukup tinggi diantara negara lainnya khususnya diantara negara-negara Asia Tenggara lainnya. Hampir seluruh pengguna internet di Indonesia adalah pengguna aktif sosial media. Salah satu aplikasi media sosial yang sedang tren saat ini adalah Bigo Live. Bigo Live merupakan aplikasi live video streaming, dimana penggunanya bisa berinteraksi secara realtime. Popularitas Bigo Live di kalangan pengguna media sosial cukup tinggi karena pada 6 bulan pertama sejak waktu rilisnya, aplikasi tersebut telah menduduki urutan ke-10 pada Top Charts untuk aplikasi gratis di Google Play Store dan urutan ke-4 Top Charts untuk aplikasi gratis kategori sosial. Keunikan Bigo Live lainnya yaitu Bigo Live memiliki nilai ekonomi dengan adanya sistem poin yang biasa disebut beans yang dapat ditukarkan dengan uang tunai apabila telah mencapai minimal 6.700 beans. Tujuan dilakukannya penelitian ini adalah menemukan motif yang mendorong penggunaan media sosial Bigo Live oleh mahasiswa jurusan Ilmu Komunikasi di Universitas Telkom. Penelitian ini dilakukan dengan menggunakan metode kualitatif kepada empat orang informan. Dari hasil penelitian ditemukan bahwa motif yang mendorong penggunaan media sosial Bigo Live oleh mahasiswa jurusan Ilmu Komunikasi Universitas Telkom ini relevan dengan teori motif penggunaan media yang diungkapkan oleh McQuail yaitu, motif informasi, motif identitas diri, motif integrasi dan interaksi sosial dan motif hiburan. Namun keempat motif tersebut tidak semuanya dimiliki informan, motif yang paling sering ditemukan adalah motif informasi, interaksi dan hiburan.
One of the health problems in Cirebon is about nutritional status. This happens because the increase and decrease in the number of children under five who experience nutritional status problems each year is uncertain. Toddlers are a group of people who are vulnerable to nutrition. The incidence of malnutrition if not addressed will cause a bad impact for toddlers. The impacts include death and chronic infection. Early detection of undernourished children (malnutrition and malnutrition) can be done with an examination of weight for age (W/U) to monitor the child's weight, the parameters used to calculate the nutritional status of toddlers include age, weight and height/length. To classify the nutritional status of children under five, a knowledge or scientific study is needed that can classify data based on the data from measurements and weighing. This study uses 8 criteria, namely Name, Address, Mother's Name, Gender, Age, Weight, Height, Status Classification. The accuracy results obtained are 98.86% with details, namely the Prediction Results of Malnutrition and it turns out that the True Malnutrition is 13 data. Poor Nutrition Prediction Results and turns out to be True Normal by 1 Data. Normal Prediction Results and it turns out to be True Malnutrition is 1 Data. Normal Prediction Results and turns out to be True Normal of 161 data. The results of the classification of infant levels based on age, infants aged 0 months to 10 months had normal nutrition, while infants aged 10 months to 19.5 months were prone to malnutrition for infants, and those aged more than 19.5 months had poor nutrition. normal.
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