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All Journal HUMAN FALAH: Jurnal Ekonomi dan Bisnis Islam KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Dedi Suhendro
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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ANALISIS PROFITABILITAS DAN LIKUIDITAS UNTUK MENILAI KINERJA KEUANGAN PADA PT SIANTAR TOP Tbk Dedi Suhendro
HUMAN FALAH: Jurnal Studi Ekonomi dan Bisnis Islam HUMAN FALAH: Jurnal Ekonomi dan Bisnis Islam | Vol. 4 | No. 2 | 2017
Publisher : Fakultas Ekonomi dan Bisnis Islam Universitas Islam Negeri Sumatera Utara

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Abstract

The purpose of this study is to assess the company's financial performance at PT Siantar Top Tbk with the use of financial ratio analysis during the period of 2011-2015. The financial ratios used are profitability and liquidity. Profitability ratios at PT Siantar Top Tbk show an efficient company performance in terms of average Net Profit Margin ratio as it is above the industry average (time series). The Return On Asset (ROA) ratio is also efficient because the company's net profit tends to increase and is above the industry average (time series). The average value of the Return On Equity (ROE) ratio below the industry average (time series) for financial performance is said to be inefficient. Analysis of Liquidity Ratio (Likuidity Ratio) when viewed from the Current Ratio indicates the condition of corporate liquidity is not good, the calculation of the average Current Ratio is below the industry average (time series) for financial performance is said ILLikuid (not good). The calculation of the average Quick Ratio is below the industry average (time series) for financial performance is said IL Liquid (not good).
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
Co-Authors Nurliana Pulungan Suhada Suhada