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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Nurliana Pulungan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

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PENERAPAN ALGORITMA K-MEDOIDS UNTUK MENGELOMPOKKAN PENDUDUK 15 TAHUN KEATAS MENURUT LAPANGAN PEKERJAAN UTAMA Nurliana Pulungan; Suhada Suhada; Dedi Suhendro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1609

Abstract

The main occupations in 15 years and above are on average not suitable for their age, which is done by adults but is done by people 15 years and older. Therefore, I do grouping data on population 15 years and above so that we know what their main jobs are. Here I use data mining with the K-Medoids method to classify the population of 15 years according to the main occupation, this research was conducted in Indonesia. The K-Medoids method is a method of collecting data with the classic clustering partitioning technique that groups datasets from n objects into K groups known a priori. A useful tool for determining k is a silhouette. It is stronger to be agreed upon and bigger than K-Means because it must add to the difference in the difference in the square of the euclidean distance. Attractions that can be determined as cluster objects are average differences for all objects in the cluster are minimal. That is the easiest point in the cluster. K-Medoids uses objects in a collection of objects to represent a cluster. The object chosen to represent a cluster is called medoid. Clusters are built by calculating the proximity they have between a medoid and non-medoid objects.Keywords: Data mining, K-Medoid, Main Job Fields 15 years and above
THE EFFECT OF APPLYING LIQUID ORGANIC FERTILIZER FROM FISH WASTE AND GOAT DUNG ON THE GROWTH AND PRODUCTION OF SWEET CORN (Zea Mays Saccaharata L) Syarifah Mayly; Nurliana Pulungan; Nurhayati; Shampazuraini Samsuri
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 8 (2022): JULY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i8.1067

Abstract

This study aims to determine the effect of liquid organic fertilizer (POC) from fish waste and goat manure on the growth and production of sweet corn (Zea mays saccharata L.). The study was conducted using a Factorial Randomized Block Design (RAK) with two factors, namely the dose of fish waste POC (0, 100, 200, and 300 ml/plot) and the dose of goat manure fertilizer (0, 1280, 2560, and 3840 g/plot). The parameters observed included plant height, number of leaves, and cob weight per plot. The results showed that the application of fish waste POC and goat manure fertilizer had a very significant effect on the growth and production of sweet corn. The highest dose of fish waste POC (300 ml/plot) and goat manure (3840 g/plot) gave the best results with a plant height reaching 93.47 cm, the number of leaves 16.17 strands, and cob weight per plot of 3561.67 grams. However, the interaction between the two types of fertilizer did not show a significant effect. In conclusion, the use of liquid organic fertilizer from fish waste and goat manure separately can significantly increase the growth and yield of sweet corn.
Co-Authors Dedi Suhendro Nurhayati Shampazuraini Samsuri Suhada Suhada Syarifah Mayly