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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi BISMA (Bisnis dan Manajemen)
Daniel Siahaan
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Computer Science & IT Dentistry Education Library & Information Science Social Sciences

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Pengaruh Likuiditas Dan Kualitas Aset terhadap Profitabilitas pada Bank Umum Nasional (Studi pada Bursa Efek Indonesia Periode 2010-2014) Daniel Siahaan; Nadia Asandimitra
BISMA (Bisnis dan Manajemen) Vol. 9 No. 1 (2016)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.716 KB) | DOI: 10.26740/bisma.v9n1.p1-12

Abstract

This study exmines the factors that affect the profitability of the national commercial banks. This study used data 32 commercial banks that go pulic in Indoesia Stock Exchange period 2010-2014. Sampling was done by purposive sampling method. This study used multiple linear regression analysis using SPSS 20. Independent variable of this study is Liquidity (LDR) and Asset Quality (NPL).The results of the study explain that Liquidity is a positive effects on Profitability. Liquidity be a measure of the success a bank to obtain high profitability. The lower the LDR reflects the bank has not been able to optimize third-party funds (DPK), which will be distributed to customers as a credit. Asset Quality negatively affect Profitability. High-Quality assets in a bank means more credit problems experienced by banks and will result in losses in the bank.
SISTEM PEMBANGKIT ANOTASI PADA ARTIKEL BERGAMBAR DENGAN PENDEKATAN KONTEKSTUAL Diana Purwitasari; Dian Saputra; Esti Yuniar; Umi Laili Yuhana; Daniel Siahaan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 9, No 1, Januari 2011
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.833 KB) | DOI: 10.12962/j24068535.v9i1.a64

Abstract

Development of E-learning sites and their materials make it is necessary to help users finding the desired materials. Context-based search engine will help users for the finding task. However that kind of searching can only be done for learning materials that have been semantically signed or annotated. Annotation is given for the article’s content or the article’s image within. There are many constraints for manually providing annotations to the learning articles such that automatic metadata or annotation generating method is needed. This paper discusses about annotation generating system with two subsystems: annotation recommender for learning material using contextual analysis and image metadata generator. The methods for contextual analysis are Latent Semantic Analysis (LSA) and WordNet-lexical dictionary usage. Our experimental results showed that subsystems can be used to generate annotation for articles and images in the articles though we have not done combination of two subsystems.
Co-Authors Diana Purwitasari Esti Yuniar Nadia Asandimitra Haryono Siswahyudianto Umi Laili Yuhana