scholarly journals A Financial Distress Prediciton on Property, Construction, and Real Estate Companies Listed in BEI

2020 ◽  
Vol 7 (1) ◽  
pp. 1-9
Author(s):  
Alberto Orson Ongkowidjojo ◽  
Anastasia Njo ◽  
Januar Budiman
Keyword(s):  
Economic Growth ◽  
Discriminant Analysis ◽  
Data Collection ◽  
Real Estate ◽  
Financial Distress ◽  
Collection Method ◽  
Financial Ratio ◽  
Financial Status ◽  
Enormous Amount ◽  
A Company

The slowing of economic growth in Indonesia could cause financial distress for companies in property, construction and real estate sectors as these companies has enormous amount of GDP contributions in Indonesia. These difficulties are related to companies being able to accomplish all its responsibilities in short nor long terms. In assessing financial status of a company, discriminant analysis could be of use to see financial ratio such as liquidity ratio, profitability, activity and solvability. This research consists of comparative and sample pulling technique towards 81 population in multiple sectors such as property, construction and real estate. Data collection method by documentation.  Discriminant analysis results depicts that liquidity ratio(CA/CL), profitability (EBIT/TA and NI/SALES), activity (SALES/TA), and solvability (BV/TL and TL/EQUITY) could be used to distinguish which company are experiencing financial distress and which are not.

scholarly journals Analisis Diskriminan Untuk Memprediksi Kebangkrutan Perusahaan: Studi Kasus Pada Perusahaan Sektor Textile Dan Garment Di Bursa Efek Indonesia 2016-2018

2021 ◽  
Vol 5 (1) ◽  
pp. 132-140
Author(s):  
Deny Ismanto ◽  
Dyah Ernawati
Keyword(s):  
Discriminant Analysis ◽  
Data Collection ◽  
Discriminant Function ◽  
Financial Distress ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Financial Ratios ◽  
Collection Method ◽  
Purposive Sampling ◽  
Financial Difficulties

Failure to make a continuous profit will hamper the company's development and this can lead to bankruptcy. Bankruptcy is usually marked by financial distress. Companies that are not able to overcome financial difficulties and problems are getting protracted, then the company will go bankrupt. One way to predict bankruptcy is by using discriminant analysis. This type of research is descriptive with a quantitative approach. The data collection method used is documentation. The population in this study were Textile & Garment companies listed on the IDX in 2016-2018. The sampling technique was purposive sampling and obtained a sample of 8 companies with a potential bankruptcy and 10 companies for 3 years of observation. The results showed that of the 2 financial ratios used Quick Ratio (QR) and Return On Asset (ROA), only the Quick Ratio (QR) ratio proved significant to be able to distinguish bankrupt and non-bankrupt companies. By using discriminant analysis. The dominant variable informing the discriminant function is the Quick Ratio (QR).

Strategi Pemasaran Untuk Meningkatkan Jumlah Kunjungan Pada Obyek Wisata Kebun Raya Dan Kebun Binatang (KRKB) Gembira Loka Di Kota Yogyakarta

2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Marketing Strategy ◽  
Swot Analysis ◽  
Internal Variable ◽  
External Variable ◽  
Collection Method ◽  
Data Collection Method ◽  
A Company

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.

scholarly journals PROTOTIPE SISTEM INFORMASI PELELANGAN BARANG BERBASIS WEB SEBAGAI MEDIA PENGOLAH INFORMASI DATA PELELANGAN

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Yoki - Firmansyah ◽  
Reza Maulana ◽  
Dila Arivianti
Keyword(s):  
Information System ◽  
Data Collection ◽  
Software Development ◽  
Prototype Model ◽  
Collection Method ◽  
User Data ◽  
Prototype Software ◽  
Development Methods ◽  
A Company ◽  
Software Development Methods

Abstract— PT. Nusantara Surya Cipta Finance is a company engaged in the services of crediting goods and borrowing funds. Currently PT. Nusantara Surya Cipta Finance still uses a bookkeeping system for auctions using paper media. In this research using prototype software development methods and methods of collecting data on observation, interviews and literature studies, software development methods with a prototype model to design the auction system of goods. While the data collection method is used to collect the needs of the information system to be created, the data processed in the design of this system contains data on auction of goods, payments and reports. This application displays registration as an auction participant, auction item info, application user data and order and payment reports. The results of this study are a prototype of the Goods Auction Information System which is expected to help PT Nusantara Surya Cipta Finance in the process of auctioning goods Keywords: Prototype, Information System, Auction. Intisari - PT. Nusantara Surya Cipta Finance adalah perusahaan yang bergerak di bidang jasa pengkreditan barang dan peminjaman dana anggunan. Saat ini PT. Nusantara Surya Cipta Finance masih menggunakan sistem pembukuan untuk pelelangan dengan menggunakan media kertas. Dalam penelitian ini menggunakan metode pengembangan perangkat lunak Prototipe dan metode pengumpulan data observasi, wawancara dan studi pustaka, metode pengembangan perangkat lunak dengan model prototype untuk merancang sistem pelelangan barang. Sedangkan metode pengumpulan data dipergunakan untuk mengumpulkan kebutuhan kebutuhan dari sistem informasi yang akan dibuat, Data-data yang diolah dalam rancangan sistem ini berisikan data pelelangan barang, pembayaran dan laporan. Aplikasi ini menampilkan pendaftaran sebagai peserta lelang, info barang lelang, data pengguna aplikasi dan laporan pemesanan dan pembayaran. Adapun hasil dari penelitian ini merupakan sebuah prototype dari Sistem Informasi Pelelangan barang yang diharapkan dapat membantu PT Nusantara Surya Cipta Finance dalam melakukan proses pelelangan barang Kata kunci: Prototipe, Sistem Informasi, Pelelangan.

scholarly journals ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN MODEL SRINGATE PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BEI PERIODE 2019-2020

2022 ◽  
Author(s):  
GOVERNANCE: JURNAL POLITIK LOKAL DAN PEMBANGUNAN
Keyword(s):  
Data Analysis ◽  
Discriminant Analysis ◽  
Real Estate ◽  
Financial Distress ◽  
Stock Exchange ◽  
Accuracy Rate ◽  
Purposive Sampling ◽  
Data Analysis Technique ◽  
Real Estate Sector ◽  
Analysis Technique

This study aims to financial distress predict and the level of accuracy using the Springate model in the property and real estate sector listed on the Indonesia Stock Exchange for the 2019-2020 period. The population of this study is all property and real estate companies listed on the Indonesia Stock Exchange for the 2019-2020 period, so the population of this study managed to find 66 companies. Samples were selected based on predetermined purposive sampling criteria. The sample selected according to the specified criteria is 37 companies. The data analysis technique used the Springate S-Score discriminant analysis technique. The results of the bankruptcy analysis using the Springate method, namely in 2019 before the onset of covid-19 there were 27 property and real estate companies in financial distress and 10 companies in healthy condition (non-financial distress). In 2020, during the COVID-19 pandemic, there were additional companies that were in financial distress, namely 34 companies and only 3 companies that remained in a healthy condition (non-financial distress). Based on the results of the analysis of the Springate method in predicting bankruptcy in property and real estate sector companies, it has an accuracy rate of 62.2%.

What makes the banks survive distress? Financial performance analysis of Indonesian Banking

2020 ◽  
Vol 11 (1) ◽  
pp. 13-13
Author(s):  
Farida Titik Kristanti
Keyword(s):  
Economic Growth ◽  
Financial Distress ◽  
Hazard Analysis ◽  
Government Policies ◽  
Proportional Hazard ◽  
Analysis Method ◽  
Factors Affecting ◽  
Cox Proportional Hazard ◽  
The Government ◽  
A Company

Financial Distress is an undesirable condition for a company. To improve, it is necessary to know the factors affecting financial distress. This research aims to find out the determinants of banking financial distress. 41 banks were taken as samples based on the purposive sampling. The survival cox proportional hazard analysis method used found evidence that macro indicators (inflation and economic growth) had a significant effect on the banks' financial distress. This implies that the government as a regulator must maintain the level of growth and inflation that stabilize the economy so that banks can avoid financial distress. As for the banks' management, they have an obligation to support government policies in maintaining growth and inflation. Keywords: bank, financial distress, survival analysis.

scholarly journals Analisis pergeseran sektor unggulan Kabupaten Tanjung Jabung Barat

2019 ◽  
Vol 8 (2) ◽  
pp. 65-74
Author(s):  
Alex Salenko Munthe ◽  
Zulgani Zulgani ◽  
Hardiani Hardiani
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Data Analysis ◽  
Data Collection ◽  
Manufacturing Sector ◽  
National Level ◽  
Secondary Data ◽  
P Value ◽  
Collection Method ◽  
The Third

The purpose of this research is to analyze the shifts that occur to the three leading sectors in the Regency of West Tanjung Jabung and to find out how much contribution from the three leading sectors to the economic growth during the period 2011-2015. The data collection method used in this research is secondary data analysis which is collecting data through the material of the library. From based on the result of data analysis, the result of the shift of the three leading sectors of the economy Tanjung Jabung District West during 2011-2015 using shift-share analysis changed at the national level (Ns) of 3,851,361.79, with a differential shift (D) value of -34,748.82 and proportional shift (P) value of -295,710.45, where the value of shifting the three leading sectors experienced development in the period 2011-2015 amounted to 3,520,902.92. The three leading sectors are classified into the analysis of Typology Klassen to determine the value of its contribution to the growth rate of the region, where the mining and quarrying sectors become the first quadrant, the manufacturing sector becomes the second quadrant, and then the agriculture, forestry, and fishery sectors become the third quadrant. Keywords: Leading sector, Shift-share, Typology klassen, Economic growth.

scholarly journals PENGARUH CASH RATIO, TIME INTEREST EARNED DAN DEBT TO EQUITY RATIO TERHADAP PROFITABILITAS (ROE) PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DALAM BEI PERIODE 2013-2017

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
. Angellia ◽  
. Erlina ◽  
Jana Jesifa Moksa ◽  
Joshua Andre Wirawan ◽  
Novilia Wijaya ◽  
...  
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Data Collection ◽  
Financial Performance ◽  
Analysis Model ◽  
Collection Method ◽  
Return On Equity ◽  
Equity Ratio ◽  
A Company ◽  
Program Data

Financial performance can be measured by Return on Equity (ROE), because ROE is one of two base factors to determine company’s level of profit growth. A company can be identified success if the cash turnover is increasing along the certain financial period. If liquidity is increasing then the profit will increase because the changed value of current assets is getting increased by company’s current liabilities enchancement. The sample of research is 32( thirthy two companies ) Data collection method is using documentation method Data analysis thechnique used is descriptive quantitative analysis. Analysis model in this research is double linear regretion and using SPSS program. Data tested by classic assumption test, coefficient determination test, F test, and T test. The conclusion of this research both partial and simultaneous Cash Ratio ,Time Interest Earned, Debt to Equity Ratio are not influential to Return on Equity. The result of R coeffition determination is 7,3%. So this 7,3% variation of variable ROE can be explained by variation variable Cash Ratio ,Time Interest Earned, Debt to Equity RatioKeywords: ROE, Cash Ratio, Time Interest Earned, Debt to Equity Ratio

scholarly journals Revealing the Third Generation Myth in Family Businesses

2020 ◽  
Vol 9 (1) ◽  
pp. 17-22
Author(s):  
Sabitha Rani Saraswati
Keyword(s):  
Data Collection ◽  
Knowledge Transfer ◽  
Family Business ◽  
Structured Interview ◽  
Family Businesses ◽  
Third Generation ◽  
Collection Method ◽  
The Third ◽  
The Family ◽  
A Company

A family Business is a company or business which is run and managed by a family. Hence, the purpose of this study is to find out the truth of the Third Generation myth in family businesses. This study uses a data collection method using a semi-structured interview. This research uses source triangulation method which aims to test the credibility of the data which is carried out by checking the data that has been obtained from several sources. In this study, samples will be taken from several sources. The resource person himself will be taken from the senior generation as the owner of the family businesses and the next generation. The results of this study states that the decline of family businesses did not occur solely because of the mistakes of the third generation. Therefore, the third generation myth is not true. Keywords: family business, trust, knowledge transfer, delegation, third generation

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