Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.

Penerapan Rapidminer Pada Data Mining Klastering (Kasus: Distribusi Persentase Rumah Tangga Menurut Kabupaten/Kota Dan Bahan Bakar Untuk Memasak)

Fuel is any material that can be converted into energy. For example in daily life humans often use energy sources as fuel for cooking including Gas/LPG, Electricity, Kerosene, Charcoal/Briquettes, Wood and others. The purpose of this study is to classify the distribution of the percentage of fuel used in each district/city in Northern Sumatra. This study discusses the analysis of the K-Means method in the case of the distribution of household percentages by district/city and cooking fuel in North Sumatra through the North Sumatra Central Statistics Agency website. The data is processed into 2 clusters namely high level (C1) and low-level clusters (C2). Thus obtained from 34 districts/cities in North Sumatra 23 regions are grouped in high-level clusters (C1) and 10 regions are grouped in low-level clusters (C2).This needs to be done so that it becomes input in the form of information to the government to find out villages that still have low understanding and have not been fulfilled in a district/city in the Province of North Sumatra.

Penerapan Fuzzy Sugeno dalam Usaha Roti Ketawa

One of the food processing business that is much in demand by the community now is the laughing bread. The business that sells laughter bread products, Roti Ketawa Pelangi, is located in Jalan Sangnawaluh, the city of Pematangsiantar, North Sumatra province, where entrepreneurs in the Rainbow Laughter Bread are still having difficulty in determining the sales results for a week. This study aims to resolve the above problems by recommending a method. The method used in this study is the Sugeno fuzzy method. Data collection techniques conducted by researchers is a technique of direct interviews with an employee who is responsible for the business. In this study, the authors used 3 criteria including price, production, and sales. The results of this study are expected to provide input to business owners so they can count sales during the week.

Penerapan Metode Simple Multi Attribut Rating Technique Dalam Merekomendasikan Lulur Terbaik Berdasarkan Minat Konsumen

The purpose of this study is to recommend the best scrubs based on consumer interest with criteria such as skin type, quality, price and product size. This study uses a Decision Support System (SPK) also uses questionnaires as material to find data and share it with 150 respondents. The calculation process that the author made uses the Simple Multi Attribute Rating Technique (SMART) method. The results of this study explain that the type of scrub Shinzui brand with a value of 0.91 becomes the best scrub according to consumer interest followed by Purbasari with a value of 0.90, Herborist with a value of 0.83, Martha Tilaar with a value of 0.71 and then Vienna with a value of 0,59.

Penerapan Metode Moora Dalam Menentukan Parfume Terbaik Berdasarkan Kepribadian

Parfume is one of the distinctive scented liquids that people use to eliminate body odor, in the use of parfume, people tend to have different types of parfume according to their personality type. Based on many personalities that exist in society, the writer uses one personality Sangunis where someone who has this personality is cheerful, friendly, warm and friendly but prefers a pungent aroma because usually someone with a Sangunins personality likes to socialize wherever they are. In this article the author uses one of the SPK methods MOORA, which has the advantage of being simple, stable and easy to implement, so it is hoped that the Moora method can help someone in making a perfume selection decision.

Analisis Metode Clustering Pada Wilayah Berdasarkan Jenis Pencemaran Lingkungan Hidup

This study uses a grouping model in determining areas based on the type of environmental pollution. This study is a special reference from the government in improving environmental sustainability. The data from this study was taken from the website of the government statistical data provider, BPS (Statistics Indonesia) www.bps.go.id. This research uses the K-Mens method and releases it with RapidMiner software to create 2 clusters, high and low level clusters and see what the contents of the cluster are. From the research results obtained by high cluster centroid data that is ((1527), (810.4), (5865), (6655.3), (323), (315.1)) low cluster namely ((139.25) , (122.5), (508,833), (919,222), (64,417), (94,444)). With this analysis, it is expected to be able to load and information for the government to pay more attention to regions whose income is still below average.

Penerapan Datamining Asosiasi Pada Sistem Persediaan Kosmetik (Kasus Toko Atom Cosmetic Pematangsiantar)

The purpose of this research is to find out whether the aamination method with the a priori method can be applied to the cosmetics inventory system at toko atom cosmetic pematangsiantar. The data is sourced from toko atom cosmetic pematangsiantar by conducting interviews with owners and analyzing several sales transactions over the past 1 months. The results of the application of a priori algorithms to the Datamining technique are very efficient and can accelerate the process of forming the pattern pattern of the combination of items from the sale of cosmetic products in the atomic cosmetics store Pematangsiantar, namely with the highest support and confidence are Bedak Wardah - Wardah Foundation and Wardah Foundation - You BB Coushion.

Fuzzy Inferensi System pada Produksi Kerupuk Lipat

Crackers are one of the favorite foods of Indonesian people which are made from flour mixture mixed with flavoring ingredients. UD.Eman is one of the factories that produces folding crackers. The instability of cracker orders which are sometimes high and sometimes low makes UD. Eman difficult in determining the amount of cracker production. These problems can be solved by using the Fuzzy Tsukamoto method by using 3 fuzzy variables, namely demand [x] where, inventory [y], production [z]. From the results of research conducted can produce clarity for the production of crackers per day. If the demand for 800 packs per day and stock of 500 packs per day, 947 packs of crackers can be produced per day.

Analisa Metode VIKOR pada Rekomendasi Alat Musik Keyboard Electone Terbaik

The purpose of this study is to recommend the best electone keyboard. The method used in this research is Visekriterijumsko Kompromisno Rangiranje (VIKOR) Algorithm where the data source used is obtained from the results of questionnaires and interviews. Decision Support System is an alternative to making appropriate and efficient decisions in the process of selecting electune keyboard instruments. The VIKOR algorithm is used to find the best alternative. The alternatives used are Yamaha PSR S970 (A1), Korg PA 50 (A2), Casio MZX (A3), Technis KN 2000 (A4). The results of the study using VIKOR are in the form of ranking, where the first ranking is Yamaha PSR S97 (A1) and the second is Technis KN 2000 (A4).

Penerapan K-Means Dalam Mengelompokkan Nilai Tambah Industri Besar/Sedang Menurut Kabupaten/Kota

Each region must have industries both primary industries, secondary industries, manufacturing industries, construction industries, service industries and the quarter industry. These industries must produce an output that will be used or consumed by consumers or the public. More and more industries in a region indicates that the region has a lot of market demand from the community and the more industries, the income in the industry of a region increases. In this study the data was taken from a government website namely BPS (Statistics Indonesia) - www.bps.go.id which is a website that presents various statistical data from each region. There are 2 clusters in this study, namely high level clusters (C1) and low level clusters (C2). This study stopped at the 2nd iteration and there were centroid data generated namely high level centroid (78177, 56543, 42610, 155596) and low level centroid namely: ((3513.3), (3448.8), (2390.9) ), (4568)). From the calculation process that has been carried out there are 2 high-level districts / cities namely (Deli Serdang and Medan) and 31 other low-level districts / cities. It is hoped that this research can be input to the government in each region to inform the output data generated from industry in each region, and then the data can be used whenever needed.