Claim Missing Document
Check
Articles

Found 5 Documents
Search

The Analysis of Financial Performance to Capital Structure Berlian Karlina
International Journal of Business Studies Vol 5 No 1 (2021): International Journal of Business Studies (IJBS)
Publisher : Sekolah Tinggi Manajemen IPMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32924/ijbs.v5i1.155

Abstract

Capital structure is very important in guaranteeing company sustainability, establishing capital structures need to consider some variables can affect because it will directly affect the company's condition in determining ability of the company to endure and develop. The study was aimed to examine effect of profitability, liquidity, company size and asset structure on capital structure at company of large trade sub sectors of production and consumer goods in the Indonesia Stock Exchange (IDX) period 2014-2018. The sampling technique used puposive sampling, the number of samples used was 9 companies from a population of 28 companies. Analytical tool used in this study is multiple linear regression assisted by SPSS version 20.0 programs with enter methods. Results of this study indicate that the profitability, liquidity and asset structure are negatively and significantly affected by the capital structure while the company size has a positive and significant effect on capital structure.
DETERMINANTS OF CUSTOMER’S SPENDING WITH MOBILE PAYMENT AS INTERVENING VARIABLES: CONCEPTUAL PERSPECTIVES Berlian Karlina; Anita Wahyu Indrasti
Jurnal Ekonomika dan Manajemen Vol 9, No 2 (2020)
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.918 KB) | DOI: 10.36080/jem.v9i2.1250

Abstract

The objective of this research is to develop specific factors that could influence customer’s spending with mobile payment as intervening variables to the conceptual perspectives. This paper examines the potential determinants to spending with conceptual perspectives: consumer features, business features, and technology features. Mobile transaction is the intervening variables that may affect the conceptual perspectives to spending. Survey questionnaires will be distributed to about 120 mobile payment users in DKI Jakarta using convenient sampling method. Data collected will be analyzed using regression technique to determine the significant levels of interactions between the dependent, intervening variables, and independent variables. The result of this study could help firms understand the consumer’s perspective to spend by using mobile payment as media of transaction. This could also be relevant for Indonesia to face Industry Revolution 4.0. This research would also provide useful data that could help the industry determine consumers’ mobile payment needs in the context of Indonesia. The empirical insights from this study would also be useful for theory building.
Pengaruh Tingkat Inflasi, Indeks Harga Konsumen Terhadap PDB di Indonesia Pada Tahun 2011-2015 Berlian Karlina
Jurnal Ekonomika dan Manajemen Vol 6, No 1 (2017)
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.769 KB) | DOI: 10.36080/jem.v6i1.335

Abstract

PDB (Produk Domestik Bruto) adalah salah satu faktor yang menentukan kesehatan perekonomian suatu negar, maka dari itu, menjadi penting untuk menganalisa faktor yang berpengaruh terhadap perubahan PDB di suatu Negara, khususnya Indonesia. Tujuan dari penelitian ini adalah untuk menganalisa faktor-faktor yang mempengaruhi perubahan PDB di Indonesia. Metode penelitian menggunakan metode quantitative dengan multiple regression dan memperlihatkan pengaruh beberapa faktor independen dan faktor dependen. Faktor bebas atau independen dalam hal ini adalah tingkat inflasi dan IHK (Indeks Harga Konsumen), dan tingkat inflasi. Dalam penelitian ini, ditemukan bahwa perubahan Produk Domestik Bruto (PDB) di Indonesia dari tahun 2011 - 2015 dipengaruhi oleh indeks harga dan tingkat inflasi dan tidak pada IHK.
THE ANALYSIS OF BUSINESS MODEL CANVAS FOR BURGER KING INDONESIA AFFECTING CUSTOMER BUYING DECISION Berlian Karlina
Jurnal Ekonomika dan Manajemen Vol 7, No 2 (2018)
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.68 KB) | DOI: 10.36080/jem.v7i2.745

Abstract

The purpose of the study is to identify whether a business model canvas owned by Burger King Indonesia affecting consumer buying decision. The business model canvas includes the nine-elements: customer segments, value propositions, channels, customer relationship, revenue streams, key resources, key activities, key partnership, and cost structure. The analysis focusing the four model canvas: value proposition, customer segmentation, customer relationship and channel affecting consumer buying decision. Data obtained in this study were primary data get through questionnaires, and quantitatvie approach was used in this study. 100 people has become sample in this study. The analysis of the data has been performed according to conceptual framework developed from critical literature review in order to serve as a tool for deriving reliable and relevant conclusions. The results of this research are value proposition, customer segments, customer relationship have significantly and positively influence on customer buying decision. While channels have not signifcant influence on customer buying decision.
Pengaruh Cluster Emiten terhadap Return Saham JSX Berbasis Parameter Rasio Analisa Fundamental Berlian Karlina; Ario Menak Sanoyo
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 2 No. 4 (2021): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v2i4.294

Abstract

Purpose: This research aimed to find the effect of cluster techniques in determining stock selection to maximize return and minimize risk in the stock market. Research Methodology: The methodology consists of two of several algorithmic approaches of the clustering method to find hidden patterns in a group of datasets, i.e., Partitioning clusters (k-means) defined by the dataset object and its central area, and hierarchical clusters that group data through varying scales to be implemented into cluster trees or dendrogram. Dataset summary analysis of the fundamental ratio of stocks in the study was obtained from IDX stock data. Results: This study's classification has been obtained that consists of three zones: green, blue and red zone. The significance obtained provides an alternative form of stock categorization, creating an investment decision support system based on Cluster Analysis, the search for correlations and patterns between ratios of the Financial Statements as complementary tools of Investment Risk Management. Limitations: This research uses only two clustering algorithm methods to analyze the effect of clustering in maximizing return and minimizing risk and only used variables of financial reports for the company listed on the Indonesia Stock Exchange. Contribution: The risk management portfolio is a crucial part of being analyzed for investors and management to improve financial performance. As a complement to decision support, the risk management systems have to be analyzed based on cluster analysis and subsequent data mining to know the potential stock valuation in the market.