scholarly journals PENERAPAN DATA MINING PADA PENJUALAN MAKANAN DAN MINUMAN MENGGUNAKAN METODE ALGORITMA NAÏVE BAYES

2021 ◽  
Vol 9 (02) ◽  
pp. 75-81
Author(s):  
Fauzan Alghifari ◽  
Didi Juardi

Changes in human behavior against the times, this causes business actors, especially culinary businesses to innovate so that the business they run continues to survive. With this competence, it causes more problems, one of which is the emergence of startups that eventually become competitors in the business world in all fields. All business owners have an innovation by analyzing food and beverage sales to generate new opportunities which will then be used to identify future opportunities. This affects the income and expenses obtained by companies and restaurants. This research paper generates new knowledge, namely by using the Na Bayve Bayes algorithm to generate an opportunity in the sale of food and beverages based on sales in the previous month. The results of the analysis process will be used for the benefit of restaurants in marketing optimization efforts. This new knowledge will also provide information such as the results of sales opportunities in the following months

2021 ◽  
Vol 14 (2) ◽  
pp. 94-106
Author(s):  
Iky Sistranafya ◽  
Sofyan Sofyan ◽  
Nazurty Nazurty

The purpose of this study to describe implementation of prakerin, achievement of students on the competence of Tata Boga in PJJ SMKN 4 Jambi City. Research method used is qualitative through phenomenological research with purposive sampling techniques, instruments used, namely observation, interview and data analysis refer to Miles and Huberman's theory. The results of observation obtained implementation of prakerin during covid-19 pandemic was not carried out for a full 6 months, but implementation of prakerin was carried out for 2 (two) months in DU/DI. The results of interview were obtained after carrying out prakerin, students gained new experience in the field of food and beverage processing, and knew the stages of food and beverage processing both about cookie dough, texture of cake dough and so on, new knowledge and experience in the industrial world and in the business world. Students use online applications and mobile media tools during PJJ to achieve competency skills tata boga.


CCIT Journal ◽  
2014 ◽  
Vol 7 (3) ◽  
pp. 420-436
Author(s):  
Dewi Immaniar ◽  
Sudaryono Sudaryono ◽  
Ayu Ningrum

Talk about retail business can not be separated from the importance of service to consumers and good quality goods . But at the present time due to intense competition in the business world , the service and quality of goods is not enough to be able to increase revenue and attract customers loyal . This makes companies think hard to survive and stable in the business . One of them is by using a media campaign in this regard more toward print or visual media is indirectly felt the value of their effectiveness in communicating product marketing programs . PT . Times Prima Indonesia is a company engaged in the retail book with the name of the Times bookstores . Based on the analysis of the company’s problems requires additional media types supporting more varied and creatif promotion of existing ones, which will be used as a complement and a media campaign as well as to enrich the data renewal campaign design to capture the interest of consumers in which one form of the media campaign is shaped merchandise . Therefore , do Enriching ( enrich ) media campaign merchandise before it is less varied and has not formed a company image . The methodology used is the analysis, observation and design . Besides the new design has been tested with the implemented test duration for 6 months, and greatly increases the perceived contribution , this is evidenced by the chart sales increasing each month.


Author(s):  
Hasrat Selpia Simorangkir

In analyzing data with data mining using the Rough Set algorithm which has results in the form of rules (rules). The process of determining the rules in the Rough Set method starts from processing the Microsoft Excel database, and continues testing with the Rough Set method. Thus producing General Rules which will become new knowledge in this research.With the existence of data mining using the rough set penilus algorithm, it can analyze data and provide solutions to the weaknesses faced in the menteng Medan field agents that have occurred so that it can be used as an alternative to solving problems in packet expedition encountered so far.Keyword: Data Mining, Descision System, Equivalen Class, ,General Rules, Rough set,Reduction


Author(s):  
Daniel A. Yamoah ◽  
Jeroen De Man ◽  
Sunday O. Onagbiye ◽  
Zandile J. Mchiza

Television (TV) is a powerful medium for marketing food and beverages. Food and beverage marketers tend to use this medium to target children with the hope that children will in turn influence their families’ food choices. No study has assessed the compliance of TV marketers with the South African Marketing to Children pledge since the enactment of the 2014 food advertising recommendations by the South African Department of Health and the Advertising Standards Authority. This study investigated the extent and nature of advertising of unhealthy versus healthy food and beverages to children in South African TV broadcasting channels. The date, time, type, frequency and target audience of food advertisements (ads) on four free-to-air South African TV channels were recorded and captured using a structured assessment guide. The presence of persuasive marketing techniques was also assessed. Unhealthy food and beverage advertising was recorded at a significantly higher rate compared with healthy food and beverages during the time frame when children were likely to be watching TV. Brand benefit claims, health claims and power strategies (e.g., advertising using cartoon characters and celebrated individuals) were used as persuasive strategies. These persuasive strategies were used more in unhealthy versus healthy food ads. The findings are in breach of the South African Marketing to Children pledge and suggest a failure of the industry self-regulation system. We recommend the introduction of monitored and enforced statutory regulations to ensure healthy TV food advertising space.


2020 ◽  
Vol 11 (2) ◽  
pp. 86-93
Author(s):  
Alvia Anggreini Setyaningrum ◽  
Sri Adiningsih

Overweight is an accumulation of excess adipose reserve within the body, resulting in an increase of bodyweight. Consumption of ultra-processed beverages, and energy intake from food and beverage are several fators that can cause the problem of overweight. This research aims to understand the relation between sugar intake in ultra-processed beverages and energy intake from food and beverages with overweight among teenage students of senior high school 6 Surabaya. The research is an observational research with cross-sectional design. Sampling is taken using proportional random sampling technique. The number of participants are 80 teenagers from 10th and 11th classes in June 2020. Participants are aged 15-18 years old. Energy intake from food and beverages are taken from 2x24 hour recall questionnaire, and sugar intake from ultra-processed beverages taken from seven-day beverages diary.. Statistical analysis are done using chi-square. The result shows relation between energy intake from food and beverages with overnutrition, with (p =< 0,001). In conclusion, excess energy intake from food and beverages relation with overweight problem to teenagers, thus requiring balanced nutritional guide education as well as annual nutrition status monitoring, from the school to its teenage students.  


2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.


2020 ◽  
Vol 5 (1) ◽  
pp. 89-72
Author(s):  
Afif Muamar ◽  
Juju Jumena

AbstractThis study aims to determine the process of slaughtering broilers in the village of Kertawinangun and the process of slaughtering according to the the Indonesian Ulema Council standard. This research is descriptive-analytical using qualitative methods. This research resulted in three things, first, the method of slaughtering and processing stages of broilers grouped into three stages, namely the stages in the preparation of chickens, slaughtering, and processing of chickens. And secondly, several factors influence consumer behavior related to halal slaughter, namely; 1) Cultural Factors, namely human behavior is largely determined by the culture that surrounds it, and its influence will always change every time by the times. 2) Social factors include family groups and role models. 3) Personal factors consisting of age and stages of the life cycle, economic conditions, lifestyle, and personality.


2019 ◽  
Vol 15 (1) ◽  
pp. 85-90 ◽  
Author(s):  
Jordy Lasmana Putra ◽  
Mugi Raharjo ◽  
Tommi Alfian Armawan Sandi ◽  
Ridwan Ridwan ◽  
Rizal Prasetyo

The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm


Author(s):  
Robert Vrbić

Cloud computing provides a powerful, scalable and flexible infrastructure into which one can integrate, previously known, techniques and methods of Data Mining. The result of such integration should be strong and capacitive platform that will be able to deal with the increasing production of data, or that will create the conditions for the efficient mining of massive amounts of data from various data warehouses with the aim of creating (useful) information or the production of new knowledge. This paper discusses such technology - the technology of big data mining, known as Cloud Data Mining (CDM).


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