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PENENTUAN PENERIMA BERAS RASKIN DI KELURAHAN OESAPA BARAT MENGGUNAKAN METODE K-NEAREST NEIGHBOR (KNN) yampi kaesmetan
Jurnal Teknologi Terpadu Vol. 2 No. 2: Desember, 2016
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v2i2.54

Abstract

Rapid technological developments are currently very influential in all areas of work especially in the field ofmapping the location on maps online. Village of West Oesapa, District Kelapa Lima, Kupang is one of thevillages that aspires for the welfare of the community by way of distribution of poor rice aid to the poor in theeconomic field. Raskin rice distribution should be shared equitably and meets the criteria as a poor ricerecipient in the Village of West Oesapa. With KNN method (K-Nearest Neighbor) will count how many people ineach neighborhood would receive help poor rice in accordance with existing criteria, and to determine thepercentage can be seen in the form of a map.
Pemilihan Hotel Pada Kelurahan Oesapa Selatan Menggunakan Metode Weighted Product yampi kaesmetan; Yesaya Laga Nawa
Jurnal Teknologi Terpadu Vol. 3 No. 1: Juli, 2017
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v3i1.71

Abstract

Hotel is one of the supporting facilities of tourism in a city. The diversity of the hotel make tourists often faced difficulty in determining the choice of hotel that suits your needs and desired criteria. Through a computerized application, can help prioritize the selection of the hotel. The results of the election study with WP method can be used to perform perangkingan list of alternatives hotel in southern Oesapa village for visitors so that the hotel needs can be met based on the criteria of visitors. The output of this system in the form of priority Oesapa best hotel in the southern villages. With this application, people who want to stay at the hotel can be easier in choosing a hotel to suit the need. Keywords: Hotel, South Oesapa, Wighted Product.
KLASIFIKASI STATUS GIZI BALITA DI KELURAHAN OESAPA BARAT MENGGUNAKAN METODE K-NEAREST NEIGBOR Yampi R Kaesmitan; Jusrianto A Johannis
MULTITEK INDONESIA Vol 11, No 1 (2017): Juni
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (458.108 KB) | DOI: 10.24269/mtkind.v11i1.506

Abstract

Nutritional status is a state of the body as a result of food consumption patterns and the use of nutritional substances. Determination of the nutritional status of children is useful to know the circumstances of infant nutritional based BB / U (Weight by Age), TB / U (Height by Age), BB / TB (Weight by Height). The system designed is a system of determining the nutritional status of children using the K-NN (K-Nearest Neighbor), where the method of K-NN (K-Nearest Neighbor) is a method of classifying or grouping of test data that is unknown class to several nearest neighbors using distance calculation formula. The variables used in this system is based on data Anthropometri or measurements of the human body, namely U (Age), BB (Weight), TB (Height), LK (Head Circumference).