Astra International Tbk Research Articles

PENGARUH KEPUASAN KERJA TERHADAP TURNOVER INTENTION DENGAN KOMITMEN ORGANISASI SEBAGAI VARIABEL INTERVENING

This study aims to analyze the effect of job satisfaction on turnover intention with organizational commitment as an intervening variable. The approach of this study is quantitative. The population in this study are permanent employees who are in PT. Astra International Tbk, Honda. The sample of this study were 100 employees in PT. Astra International Tbk, Honda using path analysis. From the analysis model the value of the dependent variable was obtained from the results of the questionnaire and using a Likert scale. The results of this study indicate that the model studied has met the model's feasibility test. Job satisfaction shows positive and significant results on organizational commitment, job satisfaction shows positive and significant results on turnover intention, organizational commitment shows positive and significant results on turnover intention and job satisfaction has a significant positive effect on turnover intention through organizational commitment.
 Keywords: Job satisfaction, turnover intention, organizational commitments.

Financial Performance Analysis Based on Profitability Ratio (Study at PT Astra International Tbk Period 2009-2018)

Financial Performance Analysis Based on Profitability Ratio (Study at PT Astra International Tbk Period 2009-2018)

PENGELOLAAN LIMBAH MINYAK PELUMAS SEBAGAI UPAYA PENGENDALIAN PENCEMARAN LINGKUNGAN

PT. Astra International Tbk recorded the demand for the use of lubricants as one of the spare parts components sought by Honda motorcycle consumers to continue to increase where at the end of 2015 lubricant parts sales were recorded at 18,596,521 lubricants and each month on average they needed around 1,149,125 lubricant (Gani, 2016). In the case of waste producers, B3 waste management can be transferred to other parties accompanied by documents showing evidence of delivery of B3 waste, in accordance with the contents of Article 32 Paragraph (2) Government Regulation Number 101 of 2014. The meaning transferred here can be interpreted as being sold to another party, because the waste of used lubricating oil still has economic value. This study aims to determine the process of managing lubricating oil waste at Astra Motor Balikpapan. This study was designed as a descriptive observational evaluation study conducted cross sectionally by observing, analyzing, observing and processing data and information that has been systematically collected. The results showed that the management of used lubricant waste at Astra Motor Balikpapan was quite good, but there were some things that needed to be improved including control from Balikpapan BLHD supervision, workshops and continuous counseling and the absence of strict administrative sanctions.

Comparison of Accuracy Between Two Methods: Naїve Bayes Algorithm and Decision Tree-J48 to Predict The Stock Price of Pt Astra International tbk Using Data From Indonesia Stock Exchange

The ability to predict the stock prices is very important for market players, whether individual or organizational investors. The market players needs to know how to predict, that will help them in their decision making process, whether to buy or to sell its shares, so that it can maximize profits and reduce potential losses due to mistakes in decision making. In accordance to this, the authors conducted a study that aimed to analyze and to compare the accuracy of two (2) methods that is used to predict the stock prices, namely: the Naїve Bayes Method and the Decision Tree-J48 Method. The amount of data used in this study were 1,195 stock datas ofPT Astra International Tbk, issued by the IDX, by the period of January 1, 2013 to November 30, 2017.This study uses 7 attributes, namely: Previews, High, Low, Close, Volume, Value, and Frequency. By using the WEKA application the result shows that, the accuracy of the Naïve Bayes Method using 20% of testing data, is 92.0502%, the precision value is 0.920 and the value of recall is 0.961, while the accuracy of the Decision Tree J-48 method, using 20% of testing data, is 98.7448%, with precision value of 0.989 and the value of recall of0.997.Through this results, it can be concluded that the decision tree J-48 algorithm has a better accuracy results compared to the Naive Bayes algorithm in predicting the stock price of PT. Astra Internasional Tbk.

Sales prediction of Four Wheelers Unit (4W) with seasonal algorithm Trend Decomposition with Loess (STL) in PT. Astra International, Tbk

Corporate Information System and Technology (CIS&T) division in PT Astra International Tbk is digitizing all business lines. Therefore, the company started to utilize machine learning to predict four wheelers (4W) sales in 2017. Data used were car sales data from 2014 to 2016. The data were obtained from company’s data warehouse (DW). Further, to develop application, firstly, Minitab was used to compare algorithm in modelling phase. Then, Azure Machine Learning Studio (Azure ML) was utilized to build prediction model based on algorithm chose in first phase. Finally, visualization was developed using Power Business Intelligence (Power BI). Time series algorithm used to solve the case is Seasonal Trend Decomposition with Loess (STL). While, machine learning model uses R library, and process flow module in Azure ML. The STL prediction model yield 9.38% error. Visualization of result is divided into two sections filtered by three parameters type, color and area. The first section in dashboard is sales data report showing percentage of type, color of cars and deployment of 4W units in Indonesia through ArcGIS Maps. The second section is forecast result containing chart of x axis to represent year and y axis to represent number of units. Further, the chart provide historical, current and forecast information. The research contributes to illustrate development of prediction using machine learning in industrial environment.

Analisa Kinerja Keuangan Pada Pt. Astra International Tbk Periode 2012-2017 Dari Sudut Pandang Analisis Rasio Keuangan Dan Metode Du Pont

This study aims to analyze and measure financial performance of PT. Astra International Tbk. using financial ratio analysis and du pont analysis. In conducting the research, data taken from company financial statement from 2012 until 2017. From financial ratio analysis, in liquidity ratio, capital structure ratio, asset management efficiency ratio, profitability ratio and market value ratio indicated if the company has increased every year. From du pont analysis show a continuous increase in Net Profit Margin and Total Asset Turnover every year. This increase is a positive increase so that the financial performance of PT. Astra International in the 2012-2017 period had declined but began to improve starting in 2016 because starting in 2016, the company could manage assets well and efficiently.

APPLIED PRODUCTIVITY MEASUREMENT WITH OBJECTIVE MATRIX (OMAX) METHOD (Case Study: Service Department in PT. Astra International Tbk Auto 2000 - Kenjeran Branch)


 Astra International Tbk. Auto 2000 branch Kenjeran is a company department in sales, service and spare parts services. To evaluate the productivity in the service department for this time, it is necessary to measure productivity properly and correctly because productivity measures can be used as material for consideration in carrying out an upcoming productivity planning. This research was conducted in January-December 2013. The productivity method used is the Objective Matrix (OMAX) method. From the results of productivity measurements, it is known that the best productivity occurs in July, which is equal to 768.8, well above the standard value of 300. The worst productivity occurred in February, which amounted to equal 174,8. From the achievement of the score it can be seen that the criteria that do not contribute to the productivity index are criteria 1, namely the comparison between unit handling and the use of working hours because it has the smallest score to equal 47. The strategy for increasing productivity is to evaluate the causes of decreasing productivity in the lowest criteria.

Brand Image Terhadap Minat Konsumen Mobil Isuzu Panther

Business people in the automotive industry continue to strive for what they produce and offer, desired and received by consumers, which will then be purchased at the maximum purchase level with a high frequency of purchases. The research objective was to determine the effect of brand image on consumer interest in buying Isuzu Panther cars at PT. Astra International Tbk. Pekanbaru Branch. The research method used in this study is multiple linear regression analysis. The results of the study concluded that respondents agreed with the brand image of the Isuzu Panther car today as a fuel-efficient car, a quality car, suitable for all terrain so that it adds to the rider's confidence and is an easy car to maintain and repair. Consumer interest in Isuzu Panther cars is considered good or interested consumers. The analysis using SPSS showed that the brand image has a very strong relationship with consumer interest in buying Isuzu Panther cars. Brand image has a positive effect on consumer interest, so if there is an increase in the brand image of the Isuzu Panther car, it will also lead to an increase in consumer interest in buying Isuzu Panther cars 
 Keywords : Brand Image, Consumer Interest, Isuzu Panther

THE MACROECONOMIC SURPRISE EFFECTS ON LQ45 STOCK RETURN VOLATILITY

Surprise macroeconomic news causes high volatility in stock market return to the stock market becomes riskier. This study aims to analyze the effects of surprise from the announcement of the United States (US) and domestic macroeconomic news on the LQ45 stock returns volatility. There are 25 stocks chosen because consistently in LQ45 during the 2013 - 2018 research period. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model is used to analyze the volatility of returns for each stock. The analysis shows that negative surprise from the Bank Indonesia benchmark interest rate, positive surprise from Indonesia’s trade balance, positive surprise from Consumer Price Index US, and positive surprise from ISM Manufacturing US have a significant effect in reducing volatility return and making most LQ45 Stocks return more stable and less risky. Other macroeconomic surprises show different directions of influence. Finally, this study also provides recommendations for the investor to choose stocks according to their respective risk profiles. The risk averse investor can invest in PT Astra International Tbk (ASII), PT Lippo Karawaci Tbk (LPKR) and PT AKR Corporindo Tbk (AKRA) which have low volatility during the release of surprise macroeconomic, while the risk taker investor can invest to PT Astra Agro Lestari Tbk (AALI), PT Vale Indonesia Tbk (INCO), and PT. Media Nusantara Citra Tbk (MNCN) which respond to many surprises of macroeconomic news.

PENGARUH RESIKO BISNIS DAN RESIKO KEUANGAN TERHADAP NILAI PERUSAHAAN (Studi Kasus pada Perusahaan PT. Astra Internasional Tbk. dan PT. Tambang Batubara Bukit Asam Tbk.)

The aim of this research is to analyse relevantly of business risk and financial risk, is have influence and relation, or not with value of company. If in research process found by inexistence of relation and influence from business risk and financial risk, so will searching that problem and searching the othe factors perhaps existence relation and influence to value of companies. The research object are business risk, financial risk, and intrinsic value of companies from PT. Astra Internasional Tbk., and PT. Tambang Batubara Bukit Asam Tbk, case study. The research shows that in PT. Astra Internasional Tbk, influential business risk according to significant towards value of companies, that is with level significant as big as 0,049. While in PT. Tambang Batubara Bukit Asam Tbk, business risk not influential according to significant towards value of companies, that is with level significant as big as 0,980. In PT. Astra International Tbk, influential finance risk according to significant towards value of companies, that is with level significant as big as 0,075. While in PT. Tambang Batubara Bukit Asam Tbk, finance risk not influential according to significant towards value of companies, that is with level significant as big as 0,735. Result of evaluation in this research is that value of companies do not only be influenced by factor of business risk and financial risk of Company. but there is other factor which can influence such as efficiency cost factor, company performance and company dividen policy. Keyword : Business risk, Financial risk, Value of company

Pengaruh Kualitas Pelayanan Terhadap Kepuasan Pelanggan Jasa Service Pada PT. Astra International Tbk. – Daihatsu Malalayang

The purpose of this study was to study the effect of service quality consisting of tangible, reliability, responsiveness, assurance, and empathy strengthening towards customer satisfaction. Regarding the problem in this study, whether the service quality offered to customer satisfaction services at PT. Astra International Tbk. - Daihatsu Malalayang. This type of research is quantitative research with descriptive research. The populations in this study were all service customers at PT. Astra International Tbk. - Daihatsu Malalayang, with a sample of 99 respondents. Technique analysis data uses multiple linear regression, t test, f test, and test coefficient of determination (R2). Based on the results of multiple linear regression analysis that includes simultaneous tangible, reliability, responsiveness, assurance, and empathy strengthen the service satisfaction of customers at PT. Astra International Tbk. - Daihatsu Malalayang by 54.0%. While the variables of reliability, responsiveness, and assurance are not partial to customer service satisfaction at PT. Astra International Tbk. - Daihatsu Malalayang. And the most dominant service quality variable is empathy.

STRATEGI PENGEMBANGAN KUALITAS PELAYANAN UNTUK MEMENUHI KEINGINAN KONSUMEN PADA BENGKEL WIJAYA TOYOTA

This study addresses the complex problems in taking a decision to achieve corporate objectives, to improve the quality of consumer care services, as well as care services in accordance with the wishes of the customer in Workshop Wijaya Toyota (PT Wijaya Motor Lestari) in partnership with PT Astra International Tbk. This research is descriptive, assigning a sample of 100 customers. Data were processed in the qualitative methods using Quality Function Deployment and the result was displayed in a matrix House of Quality. The results show that strategies the workshop Wijaya Toyota applies to improving the quality of services are: the waiting room and toilet cleanliness, promoting warranty repair workshop, ensuring the accuracy of completion time of maintenance, speed of completion of the work, maintenance appropriate to their complaints, garage attendant explanation of maintenance, stock availability of original spare parts, direct workshop personnel explanation at the time of submission, garage attendant explanation upon delivery, transparent overall cost to be paid, reasonableness price of original parts, friendliness and courtesy officer spare parts, and workshop personnel direct contact.

The Implementation Of Customer Relationship Management (CRM) With Service Oriented Architecture (SOA) to Improve Customers’ Loyalty

PT. Astra International Tbk - Honda (Astra Motor Indralaya) is a company which is engaged in the sale of products and services. Astra Motor often has problems such as product information distribution using brochure causing the effort not to be maximum. It also causes information delivery to customers to be inaccurate. There is also another problem which is the booking time that takes too long either for a motorcycle or spare parts. Therefore, the researchers are attempting to make a software using Service Oriented Architecture (SOA) by leveraging web services technology. SOA is a form of technology architecture that follows the principles of service orientation (service-oriented).

Case Study of Pt Astra International Tbk Corporate Social Responsibility Communication through Company Website and Annual Report

Case Study of Pt Astra International Tbk Corporate Social Responsibility Communication through Company Website and Annual Report

ANALISIS PORTOFOLIO OPTIMAL MENGGUNAKAN MULTI INDEX MODEL (Studi Kasus: Kelompok Saham IDX30 periode Januari 2014 – Desember 2018)

Investment is the placement of a number of funds at this time in the hope of making a profit in the future. The purpose of investors investing is to get many profit by understanding that there is a possibility of losses. But, the higher the expected return then the risk also greater. The method to minimize risk is portfolio. One of the optimum portfolio method is Multi Index Model. Multi Index Model is model that use more than one index or factor that affects the return on stock. The stock in this research is 10 stocks of IDX30 period January 2014 – December 2018. Index in this research is IHSG, Hang Seng Index and DJIA. Multi Index Model has assumptions: residual variance of stock i equals , variance of index j equals , E(ci) = 0, covariance between index equals 0, covariance between the residual for stock and index equals 0 and covariance between the residual for stock equals 0. The result of this research is there are 4 stocks that fulfill the assumpions to be made as the optimum portfolio, that is GGRM (Gudang Garam Tbk) 23.67%, UNVR (Unilever Indonesia Tbk) 37.09%, BBCA (Bank Central Asia Tbk) 25.15% dan ASII (Astra International Tbk) 14.09% with a value of expected return portfolio is 1.19% and risk of portfolio is 3.79%. Keywords: Investment, Optimum Portfolio, Multi Index Model

PENERAPAN METODEEXPECTED SHORTFALLPADA PENGUKURAN RISIKO INVESTASI SAHAM DENGAN VOLATILITAS MODEL GARCH

One of the methods that can be used to measure stock investment risk is Expected Shortfall (ES). ES is an expectation of risk size which value is greater than Value at Risk (VaR), ES has characteristics of sub-additive and convex. The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model is used to model stock data that has high volatility. Calculating ES is done with data that shows deviations from normality using Cornish-Fisher's expansion. This researchapplies the ES at the closing stock price of PT Astra International Tbk. (ASII), PT Bank Negara Indonesia (Persero) Tbk. (BBNI), and PT Indocement Tunggal Prakarsa Tbk. (INTP) for the period of 11 February 2013 - 31 March 2019. Based on the volatility of GARCH (1,1) analysis, we find ES calculation for each stock by 95% level confidence. The ES for ASII shares is 4.1%, greater than the VaR value which isonly 2.64%.The ES for BBNI shares is 4.38%, greater than it’s VaR value which is only 2,86%. The ES for INTP shares is 6.22%, which is also greater than it’s VaR value which is only3,99%. The greather of VaR then Thegreather of ES obtained.Keywords: Expected Shortfall, Value at Risk, GARCH

Mapping to predict and prioritize branches affected by natural disasters based on web applications and Google Maps geocoding methods in the group audit and risk advisory. (case study: PT. Astra International, tbk.)

Group Audit and Risk Advisory (GAnRA) PT Astra International Tbk has several divisions; one of them is Risk Advisory (RA) Division. RA Division is responsible for data collection of the branches that affected by natural disasters to know the state of the branch after the disaster. But this time, the business process is running ineffective and inefficient. The meaning of ineffective here is when RA Division should call whole Sales Operation (SO) Head Office (HO) and affiliate company (affco) HO. While the meaning of inefficient here is when RA Division should pay the entire cost of the phone to call SO HO and affco HO. Therefore, RA Division requires an application that can predict the branches affected by natural disaster, namely Risk Dashboard. This application is developed by waterfall methodology, ASP.NET programming language, SQL Server Management Studio database, and Google Maps Geo-coding Technic. This application makes the time needed to find a branch to be only a few seconds from the previous one which took almost a day. With this application, it makes RA Division faster in analysing the data for reporting and updating Business Continuity Plan (BCP).

IPTEKS PENGENDALIAN PEMBIAYAAN PADA DEPARTEMEN UNIT DI PT. ASTRA INTERNATIONAL ISUZU SALES OPERATION CABANG MANADO

PT Astra Isuzu Manado branch is part of PT Astra International Tbk, which operates in the automotive business line, which has 3 departments, the first is the unit department, service department, and spare parts department. In the unit department itself has 3 types of customers, the first retail customers, fleet customers, GSO customers. In order to be able to carry out financing controls appropriately in the department of the PT Astra Isuzu branch of Manado, the accuracy and consistency of employees in the company is needed, while the five elements must be carried out by the company to achieve good financing control by using, controlling the environment. , risk measurement, activity control, information and communication, and supervision. In the following cases, PT Astra International has sufficiently carried out financing controls well enough to reach a better company that must improve financing controls more thoroughly in controlling the repayment of customers before maturity.Keywords: internal control, financial control, financial institutions

PEMBENTUKAN DAN PENGUJIAN PORTFOLIO SAHAM-SAHAM OPTIMAL: PENDEKATAN SINGLE INDEX MODEL

Buying stock is one of the way investors do to obtain profit from their money. Every investor should consider two important things, return and risk. To minimize the risk, one can diversify their investment by creating optimal portfolio, which consists of different stocks with optimal return and certain degree of risk. The aim of this research was to establish and determine the optimization of optimal portfolio composed by LQ45 stocks over the period of February 2011 to January 2015. The research was trying to create optimal portfolio from thirty-eight non-financial companies stocks listed in LQ45 using single index model. From the research, the optimal portfolio is composed of TLKM (PT Telkom Indonesia Tbk), BMTR (PT Global Mediacom Tbk), JSMR (PT Jasa Marga Tbk), SSIA (PT. Surya Semesta Internusa Tbk), AKRA (PT AKR Tbk), MNCN (PT Media Nusantara Citra Tbk), WIKA (PT Wijaya Karya Tbk), ASII (PT Astra International Tbk), KLBF (PT Kalbe Farma Tbk), ASRI (PT Alam Sutera Realty Tbk), UNVR (PT Unilever Indonesia Tbk), ICBP (PT Indofood CBP Sukses Makmur Tbk), SMGR (PT Semen Indonesia Tbk), and only able to be used for six months. The optimal portfolio gives 0.242% returns for a week with 1.122 value of beta. Majority of the aggressive portfolio have higher return toward risk then portfolio moderate and conservative.

Pengaruh Penerapan PSAK No. 46 Terhadap Laporan Laba Rugi Pada Tiga Perusahaan Yang Terdaftar di BEI

The company follows a accounting standards generally accepted in drawing up the financial statements, namely Financial accounting standards (SAK). For various reasons, that standard is different from the taxation provisions also utilize accounting information. Due to the difference of a few things in Financial accounting standards (SAK) with the provisions of the Regulation militate in% u2013 Invitation taxation. Bond Accountant Indonesia (IAI) has confirmed the Statements of financial accounting standards (PSAK) No. 46 concerning accounting for income taxes, is a new thing in the accounting standards for enterprises in Indonesia. PSAK No. 46.The purpose of this research is to know concerning PSAK NO. 46 and see if PSAK NO. 46 already applied on the PT Astra International Tbk, PT Mustika Ratu Tbk, PT Mayora Indah Tbk. And how its influence from the application of PSAK NO.46 of the income statement of the company. The study was conducted at the corner of Indonesia stock exchange at STIE Kesatuan Bogor. The results showed that in the application of PSAK NO. 46 will develop assets and deferred tax liabilities interest arising due to temporary differences. The influence of the application of PSAK NO. 46 on the income statements give rise to a difference between the burden of income tax with income tax debt resulting from the existence of differences in recognition of tax-deferred interest assets, which is set to PSAK NO. 46.