Impact of Agriculture Factor and Non-Agriculture Factor to Value of Food Production: Cast Study of Vietnam, Thailand, Indonesia and Philippines Period 2010-2019

2021 ◽  
Vol 1 (2) ◽  
pp. 80
Author(s):  
Muhamad Ferdy Firmansyah ◽  
Dewi Pratiwi Pusparini ◽  
Arriane A. Vivero ◽  
Neldren Grace Lababit
Keyword(s):  
Food Production ◽  
Control Variable ◽  
Value Added ◽  
Secondary Data ◽  
Political Stability ◽  
The Philippines ◽  
Factors Affecting ◽  
Average Value ◽  
Agriculture Sector ◽  
Annual Population

Food production provides an overview of developing a country's agriculture resilience and food security. Several factors can affect food production. They can be divided into agriculture factors and non-agriculture factors. This research aims to find agricultural and non-agricultural factors affecting food production. We assume the food production with a used average value of food production. A quantitative approach using a panel data model approach using for this research. The data used is secondary data. The results are that the factors that can affect food production with a used average value of food production are dependent variables. In this research, we used independent variables as follows agriculture land are, agriculture value-added, employment in the agriculture sector, credit to agriculture, and control variable. Control variables used in this research are annual population, gross domestic product, and political stability. This research is based on Vietnam, Thailand, Indonesia, and the Philippines. We used data panel regression for estimating the model, the data period used is in the period 2010-2019. This study provides recommendations that in increasing the optimization of food production, it is necessary to plan for value-added, empower workers, suppress population growth, and political stability.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN RAMBAH KABUPATEN ROKAN HULU

2018 ◽  
Vol 14 (1) ◽  
pp. 77
Author(s):  
Ahmad Rifai ◽  
Siswanto Siswanto ◽  
Eri Sayamar
Keyword(s):  
Secondary Data ◽  
Predictive Ability ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Microfinance Institutions ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Agriculture Sector ◽  
Pooled Data

<p>Abstract : This study analysis the factors affecting the depth of outreach of<br />Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu<br />District. Factors thought to influence the depth of outreach is age of UED-SP, ROA,<br />percent of trading sector clients, percent of agriculture sector clients and number of<br />woman clients. The sampling method is done using by purposive sampling. This study<br />obtained a sample of twelve UED-SPs in the village at Rambah District from in the<br />period of 2012-2015. The data used is secondary data form pooled data. Data were<br />obtained based on the financial reports of each of the samples. This study uses<br />quantitative approach with analysis technique used is multiple linear regression<br />analysis with fixed effect model of pooled data that were previously tested with the<br />classical assumption test. Hypothesis testing using t-statistic and the F-statistic with<br />95% confidence level. Based on the classic assumption test found no variables that<br />deviate. This shows that the available data has been qualified using the linear<br />regression equation model. The results of this study show that depth of outreach are<br />statistically significant infiuenced by age of UED-SP. However, it’s negatively affect<br />on depth of outhreach. Whereas ROA, number of woman borrower, percent of<br />agriculture sector clients and percent of trading sector clients has no affect on depth of<br />outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66<br />percent, while the 22,34 percent influenced by other factors not included in the<br />research model.</p><p> </p><p>Abstrak : Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi<br />kedalaman jangkauan (Depth of Outrech) pada LKM UED-SP di Kecamatan Rambah<br />Kabupaten Rokan Hulu. Faktor-faktor yang diduga berpengaruh terhadap kedalaman<br />jangkauan adalah umur UED-SP, rasio pengembalian aset (ROA), jumlah peminjam<br />wanita, proporsi peminjam sektor pertanian dan proporsi peminjam sektor perdagangan. Metode pengambilan sampel dilakukan dengan menggunakan purposive sampling. Dalam penelitian ini diperoleh sampel sebanyak 12 LKM UED-SP di Desa/Kelurahan yang ada di Kecamatan Rambah dan data yang dihimpun adalah 4 tahun dari tahun 2012-2015. Data yang digunakan adalah data sekunder data panel. Data diperoleh berdasarkan laporan keuangan dari masing-masing sampel. Teknik analisis yang digunakan adalah analisis regresi linear berganda data panel dengan model Fixed Effect (FEM) yang sebelumnya diuji dengan uji asumsi klasik. Uji hipotesis menggunakan t-statistik serta F-statistik dengan tingkat kepercayaan 95%. Berdasarkan uji asumsi klasik tidak ditemukan variabel yang menyimpang. Hal ini menunjukkan bahwa data yang tersedia telah memenuhi syarat menggunakan model persamaan linear berganda. Hasil penelitian menunjukkan bahwa variabel umur UEDSP berpengaruh signifikan terhadap kedalaman jangkauan. Namun berpengaruh negatif terhadap kedalaman jangkauan. Kemampuan prediksi kelima variabel tersebut terhadap kedalaman jangkauan adalah 77,66 persen, sedangakan 22,34 persen dipengaruhi oleh faktor lain yang tidak dimasukkan ke dalam model penelitian.</p>

scholarly journals ANALISIS KINERJA KEUANGAN BERDASARKAN ECONOMIC VALUE ADDED (EVA) DAN FINANCIAL VALUE ADDED (FVA) (STUDI KASUS PADA PT. NIPPON INDOSARI CORPINDO TBK. TAHUN 2014-2018)

2020 ◽  
Vol 7 (2) ◽  
pp. 103
Author(s):  
Nangsi Mohamad ◽  
Lanto Miriatin Amali ◽  
Meriyana Franssisca Dungga
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Economic Value ◽  
Value Added ◽  
Secondary Data ◽  
Research Data ◽  
State University ◽  
Economic Value Added ◽  
Average Value ◽  
Quantitative Descriptive

Analysis of Financial Performance based on Economic Value Added (EVA) and Financial Value Added (FVA) (Case Study at PT. Nippon Indosari Corpindo Tbk in 2014-2018). Bachelor’s Degree Program in Management, Faculty of Economics, State University of Gorontalo. The principal sepervisior is Lanto Miriatin Amali, S. Sos., M.Si., and the co-supervisor is Meriyana Frsansissca Dungga, SE, MM. The research objective was to find out the financial performance of company based on analysis Economic Value Added (EVA) and Financial Value Added (FVA) from 2014 to 2018 at PT. Nippon Indosari Corpindo Tbk. The research data were obtained through financial statement in Indonesia Stock Exchange in form of company’s annual statement. The research data were secondary data. The research method used quantitative descriptive. The research sample focused on PT. Nippon Indosari Corpindo Tbk at Indonesia Stock Exchange (IDX). The research finding indicated that the result of calculation from economic value added (EVA) and Financial Value Added (FVA) at PT. Nippon Indosari Corindo Tbk listed in Indonesia Stock Exchange (IDX) fluctuated or limit of economic value added and limit of financial value added were dynamic expriencing movement although the condition of value was dynamic (up-down). Yet the average value of both was > 0 (positive) so that it was assumed to have been able to create economic value added and financial value added.

Geographical Determinants of Quantity and Rating of Online Hotel Reviews in Central Poland

2019 ◽  
Vol 53 ◽  
pp. 5-5 ◽  
Author(s):  
Tomasz Napierała ◽  
Katarzyna Leśniewska-Napierała
Keyword(s):  
Social Media ◽  
Control Variable ◽  
Media Management ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Average Value ◽  
Media Type ◽  
Central Poland ◽  
Geographical Factors ◽  
The Impact

Purpose. The aim of this enquiry is to determine the impact of various geographical factors on the rating and popularity of hotels in selected social media. Method. Research was conducted for all 193 star-ranked hotels operating in July 2017, in central Poland. However, analysis covered only those establishments which used all considered online review sources (118 star-ranked hotels). The criteria for the selection of social media were their popularity and the ability to rate the hotel by the guests. The analysed social media channels include: Booking.com, GoogleMaps, Facebook, TripAdvisor and Trivago. To achieve the research objective, 15 semi-logarithmic models were estimated to explain the variability of: 1) number of hotel reviews posted on social media sites, 2) average hotel ratings in social media, and 3) multiplied effect of quantity and average value of online hotel ratings; separately for each type of analysed social media. The following geographical explanatory variables were considered: 1) type of location (urban or rural), 2) distance from closest transport modes (road, rail and air), 3) distance to the nearest tourist attractions, 4) distance from the closest administrative centre, 5) distance from the nearest competing hotels. The hotel star-rank was a control variable included in the study. Findings. Among the analysed explanatory variables, the most important geographical factor conditioning the number of hotel service quality assessments in central Poland on social media sties was communication accessibility, and then, the closeness of competing hotels. Regardless of the type of social media, no significant influence of practically any of the analysed geographical determinants on the average value of ratings in social media was identified. Research and conclusions limitations: The models explained the observed variability of variables, finding hotel ratings in social media to be at an insignificant level, between 8% and 33%. Practical implications. Social media management is currently one of the key areas of marketing communication run by hotel enterprises. This article should make those who are responsible for managing social media in business practice more focused on geographical context. Originality. The article is the first known attempt to the authors to assess geographical factors affecting the rating and popularity of hotels in social media. Type of paper. The article presents findings from empirical research.

scholarly journals Examination of the apricot variety use and the factors affecting variety use in the Gönc production area

2010 ◽  
Vol 16 (3) ◽  
Author(s):  
D. D. Nagyné ◽  
J. Nyéki ◽  
M. Soltész ◽  
Z. Szabó
Keyword(s):  
Data Collection ◽  
Rural Areas ◽  
Quantitative Methods ◽  
Research Work ◽  
Value Added ◽  
Secondary Data ◽  
Relevant Information ◽  
Factors Affecting ◽  
Qualitative And Quantitative Methods ◽  
Empirical Survey

Hungary is a traditional fruit growing country for ages. As fruit sector has a very high hand work request and value added, it has an important role to decrease the elimination of unemployment and the lack of income in the disadvantage rural areas. The study was made in the year of 2009, the studied population consisted of the members of the fruit-grower marketing organization (Gyümölcsért Ltd.), that organizes growing and sales of stone fruits in Hungary. The studied area of this Ltd is in North Hungary. The growers, who filled the questionnaire, were selected random simple sample. Two data collection were used during our research work: primer and secondary data collection. The resources of the primer data-collection were the questionnaires of our empirical survey that have been completed by the relevant information from informal interviews with farmers (who previously filled the questionnaires in). We introduced and analysed the local (county level) and the wider (region level) farming conditions by the secondary data. By the composition of the questions both qualitative and quantitative methods have been used. This current study intends to represent one part of this comprehensive research.We wish to briefly introduce mainly the research results concerning variety use.

scholarly journals GAYA HIDUP DALAM MENGONSUMSI SAYUR DAN BUAH SERTA TINGKAT KECUKUPAN GIZI ANAK USIA SEKOLAH DASAR DI KOTA METRO

2020 ◽  
Vol 8 (3) ◽  
pp. 439
Author(s):  
Karina Ayesha ◽  
Yaktiworo Indriani ◽  
Begem Viantimala
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
School Students ◽  
Nutritional Adequacy ◽  
Factors Affecting ◽  
Average Value ◽  
24 Hour Recall ◽  
Vegetables And Fruits

level, and factors affecting the consumption of vegetables and fruits in Metro City. The research is conducted purposely in Elementary School 1 Metro and Elementary School 6 Metro; involving 52 samples of 5th grade elementary school children obtained by using a simple random sampling method. Primary and secondary data were collected in November 2017 – May 2018. Vegetables and fruits consumption data were collected by 24-hour recall and analyzed descriptively by Variety of Nutritional Adequacy Value and statistically by multiple linear regression. The results showed that the nutritional adequacy level of elementary school students was as much as 82.69%, but they were experiencing deficiency of calcium and vitamin C. Average value of the variety of nutritional adequacy was 85%, which means that the food consumed by children is diverse. The lifestyle of elementary school students in consuming vegetables and fruits was indicated that they rarely bought various serving of vegetables and fruits since they like vegetables and fruits served at home. Elementary school students preferred local to import fruits and prefer buying them at traditional market to modern market. They agree that eating vegetables and fruits was important and had good impact on health. The factors which affect the consumption of vegetables and fruits were the number and types of vegetables and fruits consumed, the consumption frequency of vegetables and fruits, and the children’s opinion.Key words: fruits, lifestyle, nutritional adequacy level, vegetables

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN RAMBAH KABUPATEN ROKAN HULU

2018 ◽  
Vol 14 (1) ◽  
pp. 21-36
Author(s):  
Siswanto Siswanto ◽  
Eri Sayamar ◽  
Ahmad Rifai
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Predictive Ability ◽  
Multiple Linear Regression Analysis ◽  
Equation Model ◽  
Microfinance Institutions ◽  
Factors Affecting ◽  
Agriculture Sector ◽  
Pooled Data

This study analyses the factors affecting the depth of outreach of Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu District. Factors thought to influence the depth of outreach is age of UED-SP, ROA, percent of trading sector clients, percent of agriculture sector clients and number of woman clients. The sampling method is done using by purposive sampling. This study obtained a sample of twelve UED-SPs in the village at Rambah District from in the period of 2012-2015. The data used is secondary data form pooled data. Data were obtained based on the financial reports of each of the samples. This study uses quantitative approach with analysis technique used is multiple linear regression analysis with fixed effect method of pooled data that were previously tested with the classical assumption test. Hypothesis testing using t-statistic and the F-statistic with 95% confidence level. Based on the classic assumption test found no variables that deviate. This shows that the available data has been qualified using the linear regression equation model. The results of this study show that depth of outreach are statistically significant infiuenced by age of UED-SP. However, it’s negatively affect on depth of outhreach. Whereas ROA, number of woman borrower, percent of agriculture sector clients and percent of trading sector clients has no affect on depth of outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66 percent, while the 22,34 percent influenced by other factors not included in the research model.

scholarly journals Factors Affecting Sectoral Employment in Nigeria during the Period of Growth (1981-2014)

2021 ◽  
Vol 11 (2) ◽  
pp. 63
Author(s):  
Adetunji Adeniyi
Keyword(s):  
Interest Rate ◽  
Wage Rate ◽  
Inflation Rate ◽  
Unit Root Test ◽  
Value Added ◽  
Secondary Data ◽  
National Bureau ◽  
Factors Affecting ◽  
Gross Value Added ◽  
Sectoral Differences

The Nigerian economy was characterised with high levels of unemployment during the periods of substantial growth between 1981 and 2014. Various economists described the growth regime as “jobless”. Sectoral differences were, also, observed with regard to their job absorptive capacities. Time series secondary data covering 1981 to 2014 on the rebased Gross Domestic Product (GDP) and sectoral Gross Value Added (GVA) at 2010 constant basic prices, employment, wage rate, inflation rate and interest rate were collected from the National Bureau of Statistics (NBS) and Central Bank of Nigeria (CBN). The variables were extracted from statutory publications of the institutions, collated and summarised into a table of data. The unit root test was carried out to test for stationarity of variables. The data was analysed using VECM at α 0.05. The result shows that wage rate, inflation rate, and interest rate all affected employment negatively across sectors. Gross Value added affected employment positively in the non-agricultural sectors, but negatively in the agricultural sectors. Inter-sectoral linkages and dependences also peculiarly affected job creation positively or negatively.

scholarly journals Analysis of Factors Affecting Sharia Capital Market Performance in Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 1-16
Author(s):  
Srie Nuning Mulatsih ◽  
Aisyah Ratnasari ◽  
Dadang Saepuloh
Keyword(s):  
Value Creation ◽  
Capital Market ◽  
Economic Value ◽  
Weighted Average ◽  
Value Added ◽  
Secondary Data ◽  
Financial Statements ◽  
Factors Affecting ◽  
Quantitative Descriptive ◽  
Is Value

This research is a quantitative descriptive study, which aims to measure the performance of the company Infrastructure, Utilities, and Transportation sectors using the method of Economic Value Added (EVA) and see whether there is value creation for the company after EVA calculation. The population in this study is an infrastructure company listed on ISSI. While the sample used in this study is 12 infrastructure sector companies listed on the ISSI during 2015-2017 respectively. The type of data that used is the type of secondary data that the author gets through the financial statements of each company from 2015-2017 published on the IDX website. The performance measurement method used in this study is the EVA method, which consists of 3 components of calculation, namely Net Operating After Tax Profit, Weighted Average Cost of Capital and Invested Capital. The results of this study indicate that the performance of infrastructure sector companies listed on ISSI in the period 2015 to 2017 shows the results of EVA valuations are diverse, namely: Companies that have positive, fixed, negative EVA. PT Cardig Aero Service and TLKM succeeded in showing good EVA growth from 2015-2017, as evidenced by 2017 EVA has continued to increase in 3 consecutive years having positive EVA values

PENGARUH PENYELENGGARAAN HAJI TERHADAP PENINGKATAN AKTIVITAS EKONOMl DI WILAYAH PROPINSI DKI JAKARTA

ALQALAM ◽  
2013 ◽  
Vol 30 (2) ◽  
pp. 380
Author(s):  
Chairul Akmal
Keyword(s):  
Secondary Data ◽  
Travel Agency ◽  
Economic Activities ◽  
Factors Affecting ◽  
Regression Methods ◽  
The Social ◽  
Travel Agencies ◽  
Relationship Model ◽  
Small Medium Enterprises ◽  
Medium Enterprises

This research analyzes some factors affecting economic activities in relation with the conduct of pilgrimage. Those factors are the pilgrimage cost, the amount of pilgrims, and the amount of pilgrimage officers. The objective of this research is to acquire the information of how each factor and all factors together affect the economic activities. This research also analyzes the effect of foods and drinks expenses, the effect of nonfoods and drinks expenses, and the effect of miscellaneous expenses on UMKM - Micro, Small, Medium enterprises' economic activities.             This research is conducted in DKI Jakarta in 2007. The population of this research is the average economic activities in DKI Jakarta in 2007. There are 42 respondents (Banks), 157 respondents (travel agencies), and 50 respondents (UMKM - Micro, Small, Medium enterprises) which are taken as samples from the population using the purposive sampling method. The data is obtained by the researcher using questioners and secondary data which is taken from 1990-2007.             The methodology used in this research is based on. the causal relationship model In testing the hypothesis of this research, the researcher uses the simple and multiple regression methods, and path analysis method. The significant rate a = 0,05 used in determining the interpretation of the statistic result. The data is processed using SPSS (Statistical Packages for the Social Sciences) version 12.00.             The results of the analysis in the 1st equation -are (i) the effect of the pilgrimage cost on banks' revenues is quite strong, (ii) the effect of the pilgrimage cost on travel agencies' revenues is quite strong, (iii) the effect of the pilgrimage cost on UMKM - Micro, Small, Medium enterprises' revenues is weak.             The results of the analysis in the 2nd equation are (i) the effect, of the amount of pilgrims on Banks' revenues is very weak, (ii) the effect of the amount of pilgrims on travel agencies' revenues is very weak, (iii) the effect of the amount of pilgrims on UMKM - Micro, Smal4 Medium enterprises' revenues is very weak.             The results of the analysis in the 3rd equation are (i) the effect of the amount of pilgrimage officers on banks' revenues is very weak, (ii) the effect of the amount of pilgrimage officers on travel agencies' revenues is very weak, (iii) the effect of the amount officers on UMKM-Micro, Small Medium enterprises' revenues is very weak.   The results of the analysis in the 4th equation are (i) the effect of all three factors which are the pilgrimage cost, the amount of pilgrims, and the amount of pilgrimage officers simultaneously on banks' revenues is very strong, (ii) The effect of all three factors which are pilgrimage costs, the amount of pilgrims, and the amount of pilgrimage officers simultaneously on travel agencies' revenues is strong, (iii) The effect of all three factors which are pilgrimage costs, the amount of pilgrims, and the amount of pilgrimage officers simultaneously on UMKM-Micro, Small Medium enterprises' revenues is strong.             The result of the analysis in the 5th equation is the effect of foods and drinks expenses on UMKM-Micro, Small Medium enterprises' revenues is weak. In the 6th equation, the effect of nonfoods and drinks expenses on UMKM-Micro, small Medium enterprises' revenues is weak. In the 7th equation, the effect of miscellaneous expenses on UMKM - Micro, Small Medium enterprises' revenues is quite strong. In the 8th equation, the effect of all three factors which are the effect of foods and drinks expenses, the effect of nonfoods and drinks expenses, and the effect of miscellaneous expenses simultaneously on UMKM-Micro, Small Medium enterprises' revenues is quite strong.             The implication of the research results mentioned above is the factors in the conduct of pilgrimage do increase the economic activities (Banks, Travel Agencies, and UMKM - Micro, Smal4 Medium enterprises) in DKI Jakarta. Therefore, considering that matter, the General Director of the conduct of pilgrimage division of Department of Religion Republic of Indonesia should determine the pilgrimage cost which is affordable, increase the service, and provide a good information system which will result in a better conduct of the pilgrimage. Key word: The Costs of Hajj, Hajj Officer, Travel Agency, UMKM

ANALISA KESEHATAN KEUANGAN PERUSAHAAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN DENGAN MENGGUNAKAN METODE ALTMAN (STUDI KASUS PADA PERUSAHAAN MANUFAKTUR SEKTOR KOMPONEN OTOMOTIF YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011 – 2015)

2019 ◽  
Vol 13 (2) ◽  
pp. 55
Author(s):  
Indar Khaerunnisa ◽  
Edy Cahyadi
Keyword(s):  
Motor Vehicle ◽  
Stock Exchange ◽  
Secondary Data ◽  
Z Score ◽  
Financial Ratio ◽  
Average Value ◽  
Automotive Components ◽  
Grey Area ◽  
Financial Ratio Analysis ◽  
Year 2013

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

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