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Publication Date: August 25, 2020

DOI: 10.14738/abr.88.8922.

Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia.

Archives of Business Research, 8(8). 262-280.

Moody's Rating For Palm Oil Plantation Companies In Papua,

Indonesia

Eko Tama Putra Saratian

Management, Faculty of Economics and Business,

Universitas Mercu Buana, Indonesia

Harefan Arief

Management, Faculty of Economics and Business,

Universitas Mercu Buana, Indonesia

Yanto Ramli

Management, Faculty of Economics and Business,

Universitas Mercu Buana, Indonesia

Mochamad Soelton

Management, Faculty of Economics and Business,

Universitas Mercu Buana, Indonesia

ABSTRACT

Papua is one of the regions that currently receives a lot of investment

in plantations and palm oil commodity processing, which previously

only focused on Sumatra and Kalimantan. One of the reasons for

investment in agribusiness to attract investors and the government is

the contribution of the agricultural sector to Gross Domestic Product

(GDP), which is around 13.96% in the third quarter of 2017, so that the

agricultural sector is one of the second largest contributors to GDP

after the manufacturing industry. The agricultural sector is dominated

by the plantation sub-sector, where the largest plantation production

in Indonesia is palm oil, and Indonesia is the world's largest exporter

of palm oil. The objectives of this research are to find out whether

investment in oil palm plantation and processing in Papua falls into the

"investment" category in Moody's rating and to find out how to make

investment in plantations and oil palm processing in Papua fall into the

"investment grade" and / or category. can increase the rating through

Moody's. This study uses a quantitative research approach.

Participants in this study used a purposive sampling technique, where

the data collected was obtained from primary data and secondary data.

Analysis of the data used in this study is Moody's rating analysis. Data

processing is carried out by conducting a spreading assessment of the

company's financial statements for the last 3 years to obtain values for

historical ratio assessment variables and balance sheet factors, as well

as by conducting an assessment of industry / market, company and

management variables. After all the input and analysis is carried out,

the output is obtained in the form of an investment feasibility rating

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"B2" with the risk category "Medium Risk". Thus, the company is

classified as "investment grade" or feasible for investment, but the B2

score is included in the lowest investment grade category, so

improvements are needed so that grading increases and attracts

investors. For future researchers, it is advisable to conduct research on

a wider sample coverage and emphasize corporate actions that must be

carried out.

Keywords: Investment Grade; Moody’s Rating; Palm Oil Plantation;

Sustainable Finance.

INTRODUCTION

According to the news quoted from Sawitwatch.or.id (2018), the Eastern Indonesia Region is one

of the areas that currently receives a lot of investment in plantations and processing of palm oil

commodities. Papua is one of the regions where until now the expansion of oil palm plantations

has continued to grow. The vast forests of Papua and the high value of biodiversity make this area

the Main Tropical Forest. According to beritasatu.com (2015), forest areas in Papua are one of the

target areas for conservation and accelerating development and increasing the added value of oil

palm in the global market.

Secondary data compilation collected by WWF Indonesia shows that as of 2014, as many as 30

companies in seven districts in Papua Province have obtained principle permits from the Ministry

of Forestry and around 24 companies have obtained plantation business permits (IUP) from the

Ministry of Agriculture to immediately realize their business stages. He said that investment in oil

palm plantations in Papua is expected to boost the regional economy, without forgetting

environmental preservation and the wisdom values of the indigenous Papuan people. According to

Saratian and Arief (2018), environmental and social issues are an equally important concern in

business activities as the triple bottom line concept.

According to the news quoted from sawitwatch (2018), at the policy level, the government

provides opportunities for massive expansion such as; Ministerial Regulation No. 26 of 2007

concerning guidelines for plantation business permits (expanding the area of permits from 20,000

Ha to 100,000 Ha per company in one province for plantation palm oil) and the Minister of

Agriculture Regulation No. 14 of 2009 on guidelines for the use of peatlands for oil palm

cultivation) which allows conversion of all peatlands of up to 3 meters for oil palm plantations. Not

only that, the Indonesian Parliament has initiated the Palm Oil Bill which will provide fresh air

through various incentives, both fiscal and non-fiscal, for the industry to continue to expand its

investment. In the financial sector, several financial institutions and banks are ready to provide

credit for this oil palm plantation sector, both for the upstream and downstream sectors of

processed palm oil products.

Based on data from the Ministry of Environment and Forestry (2018), Indonesia's forest cover in

April 2018 was 125.9 million hectares or 63.7% of Indonesia's land area. One of the agricultural

sub-sectors with a large enough potential is the plantation sub-sector. Based on data from the

Ministry of Industry (2018), the contribution of the agricultural sector to Gross Domestic Product

(GDP) is around 13.96% in the third quarter of 2017, so that the agricultural sector is one of the

second largest contributors to GDP after the processing industry. The largest contributor to the

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Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia. Archives of Business

Research, 8(8). 262-280.

agricultural sector is dominated by the plantation sub-sector. The largest plantation production in

Indonesia is palm oil, and Indonesia is the world's largest exporter of palm oil. Based on GAPKI

data (2018), production of Crude Palm Oil (CPO) in 2017 reached 38.17 million tons and Palm

Kernel Oil (PKO) 3.05 million tons, so that the total total of Indonesian palm oil in 2017 was 41.98

million tons. This figure shows an increase in production of 18% when compared to the 2016

production of 35.57 million tonnes, consisting of CPO of 32.52 million tonnes and PKO of 3.05

million tonnes. According to tuk.or.id (2017), palm oil derivatives provide a sizeable export

contribution and become one of the largest contributors to the country's income.

According to sawitwatch (2018), this big push was mainly triggered by the increase in world

vegetable oil demand, where palm oil is one of the most economical sources of vegetable oil, both

in terms of production and processing. In addition, more than 100 derivative products can be

produced which are not only for food needs, but for cosmetics, cleaning, and even biofuels. So, it is

not surprising that the position of palm oil is very difficult to replace by the agro sector of other

vegetable oil producing commodities. Papua Provincial Government data states that the current

area of oil palm plantations in Papua is 958,094.2 ha (excluding West Papua). And the largest area

is in Merauke Regency and Boven Digoel Regency. The area of this oil palm plantation will continue

to increase considering there are limited land in other areas such as Sumatra and Kalimantan,

besides that there is a policy that will expand oil palm plantations in Papua to reach 5 million

hectares.

Quoted from infosawit (2017), Head of the Sawit Watch Campaign Division, Maryo Saputra stated

that the current area of oil palm plantations in Papua province will continue to grow, considering

that the forest area in Papua is also quite large. This situation creates a big dilemma, where on the

one hand Papua really needs a development plan and investment which is expected to be able to

raise the livelihoods of Papuan people so that they can be more prosperous and increase by

working in oil palm plantations, both as laborers and as plasma farmers. Oil palm production is

seen as a means to promote economic improvement, poverty reduction and livelihood

improvement through related jobs and wages, but without good planning and integrated with

policies, the biggest beneficiaries will still be obtained by the key players in this industry. According

to Saratian and Arief (2018), oil palm plantation expansion cannot be separated from oil palm

investment financed by banks and investors.

Even though there is a large investment potential in the palm oil industry in Papua, investors still

need an initial assessment to ensure that the business is included in the investment grade through

a rating assessment. According to Afrizawati (2011), by including Indonesia as part of the

investment grade, it is hoped that it can contribute to the progress of overall economic growth,

both domestic and foreign investment. Companies and investors must remain cautious about

rating changes so that decisions can be made appropriately (Darmesti, 2014).

Rating is a standardized assessment of the ability of a country or company to pay its debts. The

rating of a company can be compared with other companies so that it can be distinguished who has

the better ability. According to Azanil et, al. (2015), the higher the rating, the company is considered

capable of fulfilling its obligations on time. Conversely, the lower the rating of a company, the

higher the risk of default and/or investment returns. In investment, rating is one of the most

important things because it determines whether a company can get funding from the issuance of

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bonds or credit from banks. A change in rating can be one of the factors affecting the direction of

investment. A high rating turns out to be influential for many things. For example, it can encourage

an increase in direct investment from abroad (Foreign Direct Investment) and indirect investment.

In general, investors will seek information before making investment decisions in certain countries

and specifically on certain investment instruments. This is done to find out how high the risk to be

borne and how high the investment return is expected to compensate them for the risks they have

to bear. Mardaconsista and Soelton, 2018; Amran, 2016; said that the profitability ratio will affect

the rating level of a company. Christine and Elizabeth, 2017; Ramli and Soelton, 2018;

Mardaconsista and Soelton, 2018; added that the current ratio, return on assets, debt to equity

ratio and total asset turnover also affect the company's rating.

Overall, the top rating indicates the most prime credit rating where the borrower has good, decent

and stable investment and credit worthiness and a very strong ability to repay its debts.

Meanwhile, the lowest rating shows the credit rating default (in default). According to the three

largest rating agencies (Moody's, S&P and Fitch Rating), they provide investment-worthy

recommendations only for countries or companies that have a minimum rating of Baa3 (Moody's),

BBB- (S&P) and BBB- (Fitch Ratings). However, in previous research, there has been no scientific

journal containing Moody's Rating research on the oil palm plantation industry, particularly in

Papua, Indonesia.

THEORETICAL FRAMEWORK

Ratio

According to Warren et. al. (2017), an element of financial statements is useful in interpreting the

results of company operations. Then by making comparisons with the same items from the

previous period, we can get even greater benefits, namely by means of horizontal analysis. The

magnitude of the increase or decrease of the various accounts in the financial statements and their

causes should be investigated further to see whether the company's operations can improve its

efficiency. According to Fahmi (2014), the ratio is the ratio of the number, from one number to

another, then the comparison is seen in the hope that later answers will be obtained and used as

study material for analysis and decisions. Short-term and medium-term investors are generally

more interested in short-term financial conditions and the ability to pay adequate dividends. Arief

et. al. (2020), explains that financial ratios provide an indication of the financial strength of a

company.

Balance Sheet

Financial statements are several pieces of paper with numbers written on them, but it is no less

important to think about the real assets that underlie the numbers (Brigham and Houston, 2018).

In addition, financial reports can also be used as a basis for helping companies project their

finances in the future. The main financial statements for companies are balance sheets, income

statements, cash flow statements and owner's equity statements. According to Fahmi (2014), the

purpose of financial reports is to provide information to parties who need to see the condition of

the company from the point of view of the numbers in monetary units. According to Warren et. al.

(2017), the balance sheet is a list of assets, liabilities and owner's equity as of a certain date. Assets

are arranged in order of their liquidity, or the amount of time it takes to convert them into cash

(Brigham and Houston, 2018). All financial statements must be identified by the name of the

company, the type of report, and the reporting period. The data contained in the income statement,

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Research, 8(8). 262-280.

cash flow statement and owner's equity statement are used for a specific period, while the balance

sheet is for a certain date.

Industry/Market

According to (Ramli and Soelton, 2018; Madura (2011), the success of a business generally depends

on the business environment. Likewise, for an existing business, stakeholders must always monitor

the environment so that they can anticipate how demand for their products or production costs

change. The industrial environment reflects the changing conditions within the industry to which

the company is exposed. Conditions in each industry vary according to business models, demand

and competition. According to Zaharuddin (2006), market analysis describes the size of market

opportunities in the product-market segment by considering the strength of competitors, both in

the trading business, downstream and upstream industries. The company gets business benefits

because it is in an industry that experiences high customer demand for its products. Corporate

customers, namely individuals or other companies who buy goods or services in exchange for

money or other goods of value (Warren et. Al., 2017). According to Zaharuddin (2006), the

structural aspect of industrial competition really needs to be analyzed, considering that there are

so many companies that already exist and have opened the market suddenly new competitors

enter and take part or all of the market that has been created with the strengths they have.

Company

According to Warren et. al. (2017), a company is an organization in which basic resources, namely

raw materials and labor, are processed and managed to produce goods or services (output) for

customers. The goal of the majority of companies is to maximize profits. Profit is the difference

between the amount received from customers for goods and services produced, compared with the

amount spent on purchasing resources to produce these goods and services. There are three types

of companies that operate to generate profits from a business process point of view, namely

manufacturing companies, trading companies and service companies. In terms of ownership, the

company organization is divided into individual companies, partnerships and companies. Each

company has its own characteristics. According to Zaharuddin (2006), determining the form of an

organization depends on the form of business to be run. The ideal organizational structure is

designed according to the goals of the organization and the level of technology that will be used.

Management

According to Hasibuan (2013), management is the science and art of regulating the process of

utilizing human resources and other sources effectively and efficiently to achieve certain goals.

Company management is closely related to human resources. According to Madura (2011), human

resources are people who are capable of doing work for a business. Management can contribute to

production by using their physical abilities, such as working in a factory to produce a product. As

an alternative, management should ideally be able to make contributions, such as suggesting

changes in the production process or motivating other workers. According to (Mardaconsista and

Soelton, 2018; Soelton et. al., 2018; Soelton et. al., 2020; Soelton et. al., 2019; Zaharuddin, 2006),

basically there are several types of management, but in the context of exploring a business, there

are only two types of management, namely small business scale management or large business

scale management.

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Moody’s Rating

This research is supported by previous studies on Moody's Rating from different industries to

support and strengthen the study and results of this research. The following table describes the

results of a study of several previous studies that have been conducted regarding Moody's Rating.

Genc and Basar (2019) said that the comparison of the results obtained by rating countries on

various macroeconomic variables uses the credit score given by the three main credit rating

agencies and uses the MOORA method. The second is the determination of how optimistic or

pessimistic the three main CRA outcomes are according to their estimates by macroeconomic

variables. The results of Fererhofer (2017) research show that family companies achieve better

scores in profitability, leverage structure and liquidity development based on credit rating scores.

Only company size represents no significant difference between family and NFF.

According to Krichene and Khoufi (2016), companies with small boards and large blockholders

tend to target lower rankings. We also find that firms tend to make choices that compensate for

deviations from their target rating levels. In the experiments of Tang, et. al (2018), found that the

participant's credit rating is significantly influenced by the client's position, and this effect does not

depend on the sophistication of the investor base of the company being rated or on the risk profile

of the company being rated. We also found that the client's position influenced the participants'

briefing goals, and these briefings were a significant predictor of the credit rating.

White (2010) says those involved in this public policy debate on credit rating agencies should ask

themselves the following question: Is the regulatory system that delegates important safety

assessments of bonds to a third regulatory system that delegates important safety assessments of

bonds to third parties in the best interests of regulated financial institutions and financial parties

in the best interests of regulated financial institutions and financial markets more generally? To

what extent will the broader regulation of rating agencies succeed in pressuring rating agencies to

make better judgments in order to make better judgments in the future? To what extent do these

regulations limit flexibility, innovation, and entry into the bond information market? Can financial

institutions instead be trusted to seek their own sources of information on the creditworthiness of

bonds, as long as financial regulators oversee the security of the bond portfolio?

According to Hirk, et. al. (2018), an empirical application consisting of an analysis of the credit

ratings of companies from three major credit rating agencies (Standard & Poor, Moody's and Fitch).

Company-level and share price data for publicly traded US companies as well as an unbalanced

issuer's credit rating panel are collected and analyzed to illustrate the proposed framework. Joffe,

et. al (2012) stated that the credit crisis in relatively high-income countries was a disaster. The

rating development stage and future reform requirements of China's credit rating industry (Bian,

2015).

The country's credit rating drew substantial and justifiable criticism after the 2008 financial crisis

(Ozturk, 2015). Gaillard (2009) finds that three variables (history of defaults of sovereign issuers,

GDP per capita and ratio of net direct debt to local government operating income) explain 80% of

the sub-government rankings.

From the previous research above, it is known that there are no journals that specifically discuss

Moody's rating on the oil palm plantation industry, so it is hoped that the results of this study can

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Research, 8(8). 262-280.

add to the scientific knowledge in the financial sector, especially regarding moody’s ratings and

investment grade. This of course can be done with good cooperation between researchers,

academics, practitioners, plantation and oil palm processing institutions, as well as the role of the

community as stakeholders of the industry itself.

RESEARCH METHODOLOGY

This study uses a quantitative research approach. According to Sugiyono (2018), quantitative

research is a research method that is based on the philosophy of positivism, used to research a

specific population or sample, data collection using research instruments, quantitative or statistical

data analysis. Abdurrahman and Muhidin (2011), quantitative research is a research that reflects

that the data to be analyzed comes from numerical data. In this case the researcher wants to find

out whether investment in oil palm plantation and processing in Papua categorized into the

investment grade or non-investment grade category at Moody's rating and knows how to make

investment in oil palm plantation and processing in Papua fall into the investment grade category

and/or increase. rating through Moody's rating analysis.

Population is a combination of all elements in the form of events, things or people who have similar

characteristics that become the center of attention of a researcher because it is seen as a research

universe (Mardaconsista and Soelton, 2018; Soelton et al, 2018; Soelton et al, 2020; Soelton et al,

2019; Ferdinand, 2014). The population in this study were 20 oil palm plantation and processing

companies in the Merauke area, Papua. The sample is a subset of the population, consisting of

several members of the population, by studying the sample the researcher will be able to draw a

conclusion that will be generalized to the population. The sample was carried out because of the

limitations of researchers in conducting research both in terms of funds, time, energy, and a very

large population. Therefore, the sample taken must really be representative (Ferdinand, 2014).

This researcher uses a non-probability sampling technique which is a technique that does not

provide equal opportunities for each member of the population to be selected as a sample

(Sugiyono, 2018). In non-probability sampling, purposive sampling technique is used in selecting

samples, where the sample selection is based on the researchers' subjective considerations

because it is considered appropriate in providing the desired information (Ferdinand, 2014). The

sample in this study is 1 oil palm plantation and processing company in Merauke, Papua. The

reasons for choosing the object of research were that the company had complete legality and

permits, was operating, and had a large plantation land bank of +35,000 hectares and was equipped

with processing facilities with a capacity of 120 tons/hour.

The data collected in this study were obtained from primary data and secondary data. Primary data

refers to data that has been collected directly from data collectors (Hardani, 2020). Primary data

were obtained from observations at the Jakarta Head Office. Observation activities are intended to

hunt down the “life table” that lies in the daily reality of the community. Furthermore, secondary

data is obtained from business legality, financial reports, production reports and other third

parties from internal and external. According to Sugiyono (2018), data analysis is the process of

searching and systematically arranging data obtained from observations, interviews, field notes,

and documentation by organizing data into categories, describing them into units, arranging them

into patterns, choosing which ones important things and what will be studied, and draw

conclusions so that they can be understood by oneself and others. Analysis of the data used in this

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study is the Moody's rating. According to (Ramli and Soelton, 2018; Mardaconsista and Soelton,

2018; Soelton et al, 2018; Soelton et al, 2020; Soelton et al, 2019; Haningsih et. al., 2014) requires

strategic information, financial information and non-financial information for investors to make

decisions.

The stages begin with data processing through the assessment of the company's financial

statements for the last 3 years on moody's rating analysis (MRA) to obtain values for historical

ratio assessment variables and balance sheet factors, as well as by conducting an assessment of

industry/market, company and management variables. These variables will have their respective

scores which in the end produce a moody's rating.

The historical ratio assessment and balance sheet factors variables will be carried out spreading

the financial statements for the last 3 years on the research object. After that, market checking will

be carried out on the industry/market variable by determining; industry type, market condition,

customer power, diversification of products and competitive position. For company variables, an

assessment will be carried out by determining; years in relationship (company with creditors/

investors), business stage, quality management, supplier power, credit history and conduct of

account. Then the management variable is carried out an assessment by determining; experience

in industry, financial reporting and formal planning, risk management, openness, risk appetite, and

management style and structure. So that the following research framework is obtained:

Figure 1. Research Framework

Source: Processed Data, 2020

After the overall analysis is carried out, the output that will be produced is an investment feasibility

rating. The investment feasibility breakdown is as follows:

Variable

Activity

Management

- Financial Reporting and Formal Planning

- Risk Management

- Openness

- Risk Appetite

- Management Style and Structure

- Credit History

- Conduct of Account

- Experince in Industry

Management Checking;

- Customer Power

- Diversification of Products

- Competitive Position

Company

Company Checking;

- Years in Relationship

- Business Stage

- Quality Management

- Supplier Power

Industry / Market

Market Checking;

- Industry Type

- Market Condition

Spreading of Financial Statement;

- Last 3 years of Financial Statement

Historical Ratio Assessment Balance Sheet Factors

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Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia. Archives of Business

Research, 8(8). 262-280.

Table 1. Moody’s Rating Grade

Source: Moody's Simple Guide, 2016

An investment that is considered feasible or is included in the investment grade category is a rating

of Aa1 to B2. The green indicator is investment grade with low risk, while the yellow one is

investment grade with moderate risk. The B3 to C ratings are classified as non-investment grade

and have high risk. The output of this research is grade after data processing through Moody's

Rating Analysis (MRA), so that it is known that oil palm plantation and processing companies in

Merauke, Papua are included in the investment grade or non-investment grade category.

RESULTS AND DISCUSSION

The stages begin with data processing through the assessment of the company's financial

statements for the last 3 years on Moody's rating analysis (MRA) to obtain values for historical

ratio assessment variables and balance sheet factors, as well as by conducting an assessment of

industry / market, company and management variables. These variables will have their respective

scores which in the end produce a Moody's rating. The historical ratio assessment and balance

sheet factors variables will be carried out spreading the financial statements for the last 3 years on

the research object.

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Table 2. Variable of Historical Ratio Assessment, Dimensions, Indicators, Options and Analysis

Source: Processed Data, 2020

In the “balance sheet factor” section, there are fields that must be filled in related to the spreading

of financial statements for the last three years, including: in the “inventory valuation” indicator, the

researcher chooses “auditor present”, which means that the company's inventory data is taken

from the company's audited financial statements. presented by auditors classified as the Big Four.

Furthermore, on the “Accounts Receivable Risk” indicator, the researcher chooses “Good Spread,

Good Quality” on the grounds that the company's receivables consist of at least fifteen separate

entities, spread over at least three separate industries or geographies, while a bad spread will

consist of up to five separate entities if in similar industries or geographies, then if classified as

average, then the spread will be between good and bad. When determining the quality of the

debtor, consider the opportunities for litigation (for example, disagreements about the agreement)

and the reliability of the debtor.

In the “Debt Repayment” indicator, the researcher chooses “Wide Spread” with the consideration

that debt payments refer to payments that are well-spread in the future and a concentration of

contractual debt payments that can suppress the obligor's future cash flows that are also spread

out. In the "Owner Support" section, "> 30%" is selected because owner support refers to the level

of additional financial support that can be provided by the owner to the business, in this case it can

be seen from the net worth when compared to the company's total assets. This support can provide

protection against bankruptcy when the company is experiencing difficulties, therefore it can

reduce the possibility of default. In the indicator "Instrinsic Full Value of Intangibles", the

researcher chooses "Negligible" with the consideration that this indicator refers to the value of

intangible assets owned by the company, in this context the company does not have intangible

assets. In addition, it is known that in calculating the company's leverage, the system removes

intangibles from its capital calculations. So that you get a summary in the table as follows:

Variable Dimension Indicator Option and Analysis

PBT / Total Assets Data is processed from the spreading of financial statement

PBT / Net Sales Data is processed from the spreading of financial statement

PBT / Tangible Net Worth Data is processed from the spreading of financial statement

Sales growth Data is processed from the spreading of financial statement

GPM Data is processed from the spreading of financial statement

NOP Margin Data is processed from the spreading of financial statement

Breakeven Sales Realization Data is processed from the spreading of financial statement

Earning Coverage Data is processed from the spreading of financial statement

Cash Flow Coverage Data is processed from the spreading of financial statement

Trade Payable Days Data is processed from the spreading of financial statement

Account Receivable Days Data is processed from the spreading of financial statement

Quick Ratio Data is processed from the spreading of financial statement

Inventory Days Data is processed from the spreading of financial statement

Debt / Tangible Net Worth Data is processed from the spreading of financial statement

Borrowed Funds / EBITDA Data is processed from the spreading of financial statement

Borrowed Funds / Effective TNW Data is processed from the spreading of financial statement

Historical Ratio

Assessment

Operations

Debt

Service

Liquidity

Capital

Structure

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Research, 8(8). 262-280.

Table 3. Variable of Balance Sheet Factor, Dimension, Indicator, Option and Analysis

Source: Processed Data, 2020

After that, market checking will be carried out on the industry / market variable by determining;

industry type, market condition, customer power, diversification of products and competitive

position. In the indicator "Industry Type", it is filled with the plantation and palm oil processing

industries. In the "Market Condition" section, "Neutral" is chosen because Market Condition refers

to the impact of local market conditions that affect the obligor's performance. In this case, local

market conditions are largely similar to the industry as a whole. In the "Customer Power" indicator,

the researcher chooses "Some" with the consideration that customer strength refers to the

influence the customer can have on the company. When answering this question, the researcher

considers the number of customers, the size of the company, and the typical size of each

transaction. The more customers and the smaller their purchases, the less leverage they have. In

this case the relationship between each customer and the obligor tends to be quite equal. This can

occur in situations where there are few customers and few suppliers.

Each has an interest in maintaining good relationships and working to resolve any difficulties. In

the indicator "Diversification of Products", the researcher chooses "Few Products, Broad Market"

with the consideration that product diversification refers to the variety of products produced by

the obligor and the market in which the product is sold. In this case, the company sells products in

the form of Crude Palm Oil (CPO) and Palm Kernel (PK), so it can be said that the types of products

that are sold are few, but have a wide market because of the many palm derivative products. In the

"Competitive Position" indicator, the researcher chose "Among the Top Few" with the

Variable Dimension Indicator Option and Analysis

Auditor Present

Taken from Inventory Records

Owner's Estimates

Not Applicable

Good Spread, Good Quality

Average Spread, Good Quality

Little Spread, Good Quality

Good Spread, Poor Quality

Average Spread, Poor Quality

Little Spread, Poor Quality

Off-Balance Sheet Facilities Only

Mainly Revolving Credit

Wide Spread

Tight Spread

Very Concentrated

> 30%

20%-29%

10%-19%

<10%

>100% of Net Worth

75-100% of Net Worth

50-75% of Net Worth

25-50% of Net Worth

5-25% of Net worth

Negligible

Inventory Valuation

Accounts Receivable Risk

Capital

Structure

Debt Repayment

Owner Support

(% of Existing Facilities)

Instrinsic Full Value of Intangibles

Balance Sheet

Factors

Liquidity

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consideration that a business that is among the big names, will be considered an industry leader,

but will have several partners who are targeted to be famous, and the company has a fairly large

garden in the area and the number of Palm Oil Mill with a capacity of 120 tons / hour. So that you

get a summary in the table as follows:

Table 4. Variable of Industry/Market, Dimension, Indicator, Option and Analysis

Source: Processed Data, 2020

For company variables, an assessment will be carried out by determining; years in relationship

(company with creditors / investors), business stage, quality management, supplier power, credit

history and conduct of account. In the indicator "Years in Relationship", the researcher chooses

"New Customer" with the consideration that this point describes the length of time the

organization has a relationship with customers, in this case the company is still in a growth stage

in its business. A new customer will often be at a much greater risk than a known customer over

the years. This is due to the increased availability of information available and its reliability. In the

“Business Stage” indicator, the researcher chooses “Growth - Early” considering that the business

has left the entrepreneurial stage and is starting to grow at a significant rate.

Similar to the entrepreneurial stage, management and business structures will remain ad hoc and

oriented to respond to pressing market needs. In addition, there will usually be significant

investment in new products and marketing, in which case the company continues to expand its

plantations and also builds palm oil mills in stages. In the "Quality Management" indicator, the

researcher chooses "Meets Industry Standards" with a consideration of how quality is handled

throughout the business whether in production or sales. Consider all aspects of the business

whether it is order processing, production errors, or customer feedback. In this case, the company

has ISPO certification in its business process.

In the "Supplier Power" indicator, the researcher chooses "Limited" with the consideration that the

strength of the supplier refers to the influence the supplier can have on the company. When

answering this question consider the choice of supplier, the relative size of the supplier, the typical

Variable Dimension Indicator Option and Analysis

Industry Industry Type Filled with Type of Industry

Enhancing Performance

Neutral

Constraining Performance

Weak

Limited

Some

Significant

Strangehold

Many Products, Broad Market

Few Products, Broad Market

Many Products, Narrow Market

Few Products, Narrow Market

Dominant

Among the Top Few

Neutral

Laggard

Industry / Market Market

Market Condition

Customer Power

Diversification of Products

Competitive Position

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Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia. Archives of Business

Research, 8(8). 262-280.

size of each transaction and how expensive it will be to change suppliers. A “Limited” option is

when the individual supplier has very little influence over the company. This situation often occurs

when individual ticket prices are very high and there are relatively few suppliers and customers.

In this case, the company needs only a small supply of Fresh Fruit Bunches (FFB) from plasma

farmers to increase the FFB processed at the company's Palm Oil Mill, the majority of which can be

fulfilled by the company from their own plantations. In the "Credit History" indicator, the

researcher selects "Clear" considering a credit record is available, and no problems are noted on

any external source to check the smoothness of the company's credit payments. In the “Conduct of

Account” indicator, the researcher chooses “No Experience” with the consideration that the

company does not violate the credit requirements. So that you get a summary in the table as

follows:

Table 5. Variable of Company, Dimension, Indicator, Option and Analysis

Source: Processed Data, 2020

Then the management variable is carried out an assessment by determining; experience in

industry, financial reporting and formal planning, risk management, openness, risk appetite, and

management style and structure. In the indicator "Experience in Industry", the researcher chooses

"3 - 10 Years" considering the length of time the company has operated in this range. In the

"Financial Reporting and Formal Planning" indicator, the researcher chooses "Appropriate

Planning and Reporting" with the consideration that this question refers to the amount and quality

Variable Dimension Indicator Option and Analysis

> 2 Years

1 - 2 Years

New Customer

Entrepreneurial - Market

Unproven

Entrepreneurial - Market

Established

Growth - Early

Growth - Mature

Stable - Mature

Declining Transition

Exceeds Industry Standards

Good

Meets Industry Standards

Falls below Industry Standards

Weak

Limited

Some

Significant

Strangehold

Clear

No Experience

Minor Problems

Bankrupt > 5 Years Ago

Major Problems

Bankrupt < 5 Years Ago

Good

Minor Breaches

Major Breaches

No Experience

Company

Years in Relationship

Business Stage

Quality Management

Supplier Power

Credit History

Conduct of Account

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Archives of Business Research (ABR) Vol.8, Issue 8, August-2020

of financial planning and reporting carried out by the obligor. Planning refers to creating a strategic

and business plan with a budget that accompanies the business plan. Financial reporting refers to

gathering financial information to determine whether (and how) the obligor is performing against

previous plans and budgets. In this case, the company has a good level of planning and reporting

according to balance and standards. In the indicator "Risk Management", the researcher chooses

"Proactive", where Risk Management refers to the way of managing risk in business. In this sense,

management takes a comprehensive and strategic view of risk, actively looks for potential sources

and implements effective management controls and mitigations. In the indicator "Openness", the

researcher chose "Meets Expectations" with the explanation that openness refers to the willingness

of management to provide accurate and timely information.

In this case, management provides all requested information in a timely manner and also provides

warnings about changing circumstances, such as in account or financial downturns, before these

become apparent. In the “Risk Appetite” indicator, the researcher chooses “Balanced” with the

explanation that Risk Appetite refers to the management approach to making decisions and their

willingness to take business and financial risks. In general, management needs to take these risks

for their business to be successful. However, this risk must be understood and only taken when the

possible reward is worth the risk. In this case, management understands the risks taken, and

ensures that the benefits offered outweigh the risks taken. In the "Management Style and

Structure" indicator, the researcher chooses "Adequate", where this question refers to the style

and structure used by management to run the business.

To answer this question, consider the type of business, size in terms of sales and employees,

complexity of products and processes, the amount of innovation required and the cost of errors. In

this case, the company has a relatively flat hierarchy of organizational structure and allows for

considerable adaptation. Apart from that, the company also has a management style where

decision making is well distributed. So that you get a summary in the table as follows:

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Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia. Archives of Business

Research, 8(8). 262-280.

Table 6. Variable of Management, Dimension, Indicator, Option and Analysis

Source: Processed Data, 2020

After all the input and analysis are carried out, the output is obtained in the form of an investment

feasibility rating with the risk category "Medium Risk". Thus, oil palm plantation and processing

companies in Merauke, Papua are classified as investment grade or eligible for investment.

However, the B2 score is in the lowest investment grade category, so improvements are needed so

that investment grade will improve and attract investors.

Figure 2. Moody's Rating Data Processing

Variable Dimension Indicator Option and Analysis

> 20 Years

11 - 20 Years

3 - 10 Years

1 -2 Years

New to Industry - Relevant

Experience

New to Industry - No Experience

Exceptional Planning and Reporting

Appropriate Planning and Reporting

Some Planning and Reporting

No Planning but Some Reporting

No Planning or Reporting

Proactive

Reactive

None

Exceeds Expectations

Meets Expectations

Reluctant

Secretive

Overly Cautious

Balanced

Overly Aggressive

Optimal

Adequate

Limiting

Management

Experince in Industry

Financial Reporting and Formal

Planning

Risk Management

Openness

Risk Appetite

Management Style and Structure

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Archives of Business Research (ABR) Vol.8, Issue 8, August-2020

CONCLUSIONS AND SUGGESTIONS

After all the input and analysis are carried out, the output is obtained in the form of an investment

feasibility rating with the risk category "Medium Risk". Thus, oil palm plantation and processing

companies in Merauke, Papua are classified as “investment grade” or eligible for investment, but

the “B2” score is in the lowest “investment grade” category, so improvements are needed so that

grading is getting better and more attractive. investors. As for ways to keep the company in the

investment grade category or even to increase the company's grading to a better level, companies

are advised to do the following: a) The value of the Historical Ratio Assessment and Balance Sheet

Factor will improve if the sales of CPO and PK optimal company by empowering the company's

second Palm Oil Mill. In addition, the support of fruit supply along with the increasing age of the

plant will increase the yield and quality of CPO and PK sold by the company, (b) In the industry /

market variable, companies must explore the demographic advantages of plantation locations in

Papua which have more fertile soil, which can be seen realization.

Productivity of the company's garden is at 130% of the standard S3 field class and Marihat seeds.

In addition, companies must diversify their customers to strengthen their bargaining position in

the market. (c) In the company variable, companies are advised to maintain business processes

according to sustainable plantation standards and must have ISPO / RSPO certification to increase

their current score. In the management variable, the company needs a longer experience to prove

its business continuity within a certain period of time. In this case, the company must always carry

out the principles of risk management properly and fulfill the reporting obligations, both to

regulators, creditors and other related parties.

From the results of this study, this oil palm plantation and processing company in Merauke, Papua

must make improvements in various ways, including: a) the historical ratio assessment weight is

still small because the financial statements for the last 3 years have not been optimal. This is

because the planting age of the plantation is still relatively young and the company's second Palm

Oil Mill was only effective at the end of 2019. The value of the Historical Ratio Assessment and

Balance Sheet Factor will improve if the company's sales of CPO and PK are optimal by empowering

the company's second Palm Oil Mill. In addition, the support of fruit supply along with increasing

plant age will increase the yield and quality of CPO and PK sold by the company, (b) In the industry/

market variable, it is known that the competition in the oil palm industry is quite tight. However,

the company can explore the demographic advantage of the location of the plantation in Papua

which has more fertile land, where it can be seen that the realization of the company's plantation

productivity is at the level of 130% of the standard S3 land class and Marihat seedlings.

In addition, companies must diversify their customers to strengthen their bargaining position in

the market. (c) For the company variable, it is advisable to maintain business processes according

to sustainable plantation standards and must have ISPO/RSPO certification to increase the current

score. In the management variable, the company needs a longer experience to prove its business

continuity within a certain period of time. In this case, the company must always carry out the

principles of risk management properly and fulfill reporting obligations, both to regulators,

creditors and other related parties. For future researchers, it is advisable to conduct research on a

wider sample coverage and emphasize corporate actions that must be carried out.

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Saratian, E. T. P., Arief, H., Ramli, Y., & Soelton, M. (2020). Moody's Rating For Palm Oil Plantation Companies In Papua, Indonesia. Archives of Business

Research, 8(8). 262-280.

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