APPENDIX 1 DAFTAR POPULASI DAN SAMPEL TAHUN

Similar documents
LAMPIRAN. Lampiran 1 Data Sampel Penelitian

Daftar Perusahaan Otomotif yang Terdatar di Bursa Efek Indonesia(Periode )

Lampiran 1. Daftar Perusahaan. Hasil dari pemilihan sampel dengan kriteria tertentu adalah sebagai berikut:

Universitas Sumatera Utara

Lampiran 1. Surat Uji Coba Penelitian dari Fakultas. Lampiran 2. Expert Judgement

LAMPIRAN A UJI VALIDITAS DAN RELIABILITAS

Stats 2002: Probabilities for Wins and Losses of Online Gambling

Case Processing Summary. Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % % 0 0.0%

DISMAS Evaluation: Dr. Elizabeth C. McMullan. Grambling State University

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA

One-factor ANOVA by example

Analysis of Variance. Copyright 2014 Pearson Education, Inc.

Regression Analysis of Travel Indicators and Public Transport Usage in Urban Areas

Driv e accu racy. Green s in regul ation

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007

Navigate to the golf data folder and make it your working directory. Load the data by typing

Conditions of Competition

Lecture 22: Multiple Regression (Ordinary Least Squares -- OLS)

Unit 4: Inference for numerical variables Lecture 3: ANOVA

Lab 11: Introduction to Linear Regression

INFLUENCE OF ENVIRONMENTAL PARAMETERS ON FISHERY

ANALYSIS OF THE DOMINATING POWER OF SERVICE RECEPTION IN VOLLEYBALL IN DIFFERENT LEVELS OF COMPETITIONS

Announcements. Lecture 19: Inference for SLR & Transformations. Online quiz 7 - commonly missed questions

Journal of Human Sport and Exercise E-ISSN: Universidad de Alicante España

Announcements. % College graduate vs. % Hispanic in LA. % College educated vs. % Hispanic in LA. Problem Set 10 Due Wednesday.

Dutch Disease, Deindustrialization and Employment in South America Roberto Frenkel

THE EFFECTIVENESS OF VOLLEYBALL SMASH TRAINING MODEL ON IMROVING SMASH CAPABILITIES OF VOLLEYBALL PLAYERS

STANDARD SCORES AND THE NORMAL DISTRIBUTION

Midterm Exam 1, section 2. Thursday, September hour, 15 minutes

Guideline Public Company

Building an NFL performance metric

Transportation Research Forum

Biostatistics & SAS programming

Airport Forecasting Prof. Richard de Neufville

Statistical Analysis on Relationship between Muhammadiyah Growths in and its Heritage

The probability of winning a high school football game.

Keywords: multiple linear regression; pedestrian crossing delay; right-turn car flow; the number of pedestrians;

Youngs Creek Hydroelectric Project (FERC No. P 10359)

ASTERISK OR EXCLAMATION POINT?: Power Hitting in Major League Baseball from 1950 Through the Steroid Era. Gary Evans Stat 201B Winter, 2010

Gulf of Mexico Oil Spill

A COMPARATIVE STUDY OF PHYSICAL DIFFERENCES BETWEEN ATHLETES OF SELECTED EVENTS IN TRACK AND FIELD

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together

Tourism impacts from major sports events Visiting previous host destinations or future events

Running head: DATA ANALYSIS AND INTERPRETATION 1

PLAYING MEMBER APPLICATION

Table 4.1: Descriptive Statistics for FAAM 26-Item ADL Subscale

D1.2 REPORT ON MOTORCYCLISTS IMPACTS WITH ROAD INFRASTRUCTURE BASED OF AN INDEPTH INVESTIGATION OF MOTORCYCLE ACCIDENTS

CHAPTER ANALYSIS AND INTERPRETATION Average total number of collisions for a try to be scored

Descriptive Statistics

Rice Yield And Dangue Haemorrhagic Fever(DHF) Condition depend upon Climate Data

Preliminary statistical analysis of. the international eventing. results 2013

Factorial Analysis of Variance

Predicting the use of the Sacrifice Bunt in Major League Baseball. Charlie Gallagher Brian Gilbert Neelay Mehta Chao Rao

Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils

PLANNED ORTHOGONAL CONTRASTS

Legendre et al Appendices and Supplements, p. 1

COMPLETING THE RESULTS OF THE 2013 BOSTON MARATHON

M. Hussain, J. Gu, R. Engel, and D. Shortt *General Motors Corporation, GMPT Headquarters, Pontiac, Michigan USA

Empirical Example II of Chapter 7

EXST7015: Salaries of all American league baseball players (1994) Salaries in thousands of dollars RAW DATA LISTING

Development of Decision Support Tools to Assess Pedestrian and Bicycle Safety: Development of Safety Performance Function

Standardized catch rates of yellowtail snapper ( Ocyurus chrysurus

a) List and define all assumptions for multiple OLS regression. These are all listed in section 6.5

Example 1: One Way ANOVA in MINITAB

Guide to Computing Minitab commands used in labs (mtbcode.out)

Youngs Creek Hydroelectric Project

PREDICTING OUTCOMES OF NBA BASKETBALL GAMES

Large olympic stadium expansion and development planning of surplus value

Chapter 13. Factorial ANOVA. Patrick Mair 2015 Psych Factorial ANOVA 0 / 19

Estimating the Probability of Winning an NFL Game Using Random Forests

Unit4: Inferencefornumericaldata 4. ANOVA. Sta Spring Duke University, Department of Statistical Science

INSTITUTE AND FACULTY OF ACTUARIES. Curriculum 2019 AUDIT TRAIL

Confidence Interval Notes Calculating Confidence Intervals

Forecasting. Forecasting In Practice

Week 7 One-way ANOVA

THE DEVELOPMENTOF A PREDICTION MODEL OF THE PASSENGER CAR EQUIVALENT VALUES AT DIFFERENT LOCATIONS

A few things to remember about ANOVA

Data Set 7: Bioerosion by Parrotfish Background volume of bites The question:

Section I: Multiple Choice Select the best answer for each problem.

Prokopios Chatzakis, National and Kapodistrian University of Athens, Faculty of Physical Education and Sport Science 1

THE STATISTICAL AND GEOGRAPHICAL ANALYSIS ON THE IMPACTS OF SOCIOECONOMIC CHARACTERISTICS ON BUS-STOP DAILY BOARDING IN RICHMOND CITY

PLAYING MEMBER APPLICATION

Paua research diver survey: review of data collected and simulation study of survey method

Class 23: Chapter 14 & Nested ANOVA NOTES: NOTES: NOTES:

ANALYSIS OF SIGNIFICANT FACTORS IN DIVISION I MEN S COLLEGE BASKETBALL AND DEVELOPMENT OF A PREDICTIVE MODEL

Load Forecast Model Development

A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L

Modelling residential prices with cointegration techniques and automatic selection algorithms

Competition Jumping Horses: Effects of Age, Sex and Breed on the Fei/Wbfsh World Ranking

Lesson 14: Modeling Relationships with a Line

Chapter 12 Practice Test

TOURNAMENT INFORMATION

Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article

A study evaluating if targeted training for startle effect can improve pilot reactions in handling unexpected situations. DR. MICHAEL GILLEN, PH.D.

Distancei = BrandAi + 2 BrandBi + 3 BrandCi + i

Variables that influence the gestation length and parturition-conception interval on a New Zealand Thoroughbred studfarm

MRI-2: Integrated Simulation and Safety

Department of Economics Working Paper

Safety at Intersections in Oregon A Preliminary Update of Statewide Intersection Crash Rates

Exploring Factors Affecting Metrorail Ridership in Washington D.C.

Transcription:

APPENDIX 1 DAFTAR POPULASI DAN SAMPEL TAHUN 2011-2013 No Nama Perusahaan Kode Kriteria Kriteria Kriteri Kriteria Sampel 1 2 a 3 4 1. Agung Podomoro Land APLN 2. Alam Sutera Reality ASRI 3. Bekasi Asri Pemula BAPA 4. Bumi Citra Permai BCIP 5. Bekasi Fajar BEST Industrial Estate 6. Bhuawanatala Indah Permai BIPP 7. Bukit Darmo BKDP Property 8. Sentul City BKSL 1 9. Bumi Serpong Damai BSDE 10. Cowell Development COWL 11. Ciputra Development CTRA 12. Ciputra Property CTRP 13. Ciputra Surya CTRS 14. Duta Anggada Realty DART 15. Duta Pertiwi DUTI 2 16. Intiland Development DILD 3 17. Bakrieland ELTY Development 18. Megapolitan Development EMDE 4 19. Fortune Mate FMII 5 Indonesia 20. Gading Development GAMA 21. Gowa Makassar GMTD 6 Tourism Development 22. Perdana Gapura GPRA 7 Prima 23. Greenwood Sejahtera GWSA 8 24. Jaya Real Property JRPT 9

25. Kawasan Industri KIJA Jababeka 26. MNC Land KPIG 27. Lamicitra Nusantara LAMI 28. Laguna Cipta Griya LCGP 29. Lippo Cikarang LPCK 10 30. Lippo Karawaci LPKR 11 31. Modernland Realty MDLN 12 32. Metropolitan MKPI Kentjana 33. Metropolitan Land MTLA 34. Metro realty MTSM 35. Nirvana Development NIRO 36. Indonesia Prima MORE Property 37. Plaza Indonesia PLIN Realty 38. PudjiatiPrestige PUDP 39. Pakuwon Jati PWON 40. Rista Bintang RBMS Mahkota Sejati 41. Roda Vivatex RDTX 42. Pikko Land RODA 13 Development 43. Danayasa Arthatama SCBD 44. Suryamas Duta SMDM Makmur 45. Summarecon Agung SMRA 46. Sitara Propertindo tbk TARA

APPENDIX 2 Working Capital Turnover WCT 1 DUTI Duta Pertiwi 0.81 0.51 0.70 2 FMII Fortune Mate Indonesia -0.51-5.93 3.80 3 GMTD Gowa Makassar Tourism Development 7.73 1.83 27.85 4 GWSA Greenwood Sejahtera 0.35 1.14 0.11 5 DILD Intiland Development 1.07-2.60-4.25 6 JRPT Jaya Real Property 12.78-3.74-1.45 7 LPCK Lippo Cikarang 2.12 1.17 1.10 8 LPKR Lippo Karawaci 0.37 0.39 0.35 9 EMDE Megapolitan Development 0.49 0.55 0.92 10 MDLN Modernland Realty -2.79 2.44-4.29 11 GPRA Perdana Gapura Prima 0.56 0.51 0.63 12 RODA Pikko Land Development 0.24 0.35 1.28 13 BKSL Sentul City 0.40 0.44 0.18 Receivable Turnover RI 1 DUTI Duta Pertiwi 0.836 1.030 1.325 2 FMII Fortune Mate Indonesia 1.872 0.782 1.153 3 GMTD Gowa Makassar Tourism Development 1.053 0.159 0.855 4 GWSA Greenwood Sejahtera 1.828 1.066 0.189 5 DILD Intiland Development 0.894 0.406 1.186 6 JRPT Jaya Real Property 0.955 0.933 1.581 7 LPCK Lippo Cikarang 1.086 0.864 1.061 8 LPKR Lippo Karawaci 1.064 0.783 1.130 9 EMDE Megapolitan Development 0.925 1.084 1.107 10 MDLN Modernland Realty 1.001 1.239 1.317 11 GPRA Perdana Gapura Prima 1.197 1.091 0.984 12 RODA Pikko Land Development 1.770 0.670 0.680 13 BKSL Sentul City 1.289 1.201 1.179

Inventory Turnover IT 1 DUTI Duta Pertiwi 0.273 0.403 0.289 2 FMII Fortune Mate Indonesia 0.551 0.788 1.265 3 GMTD Gowa Makassar Tourism Development 0.619 0.517 0.485 4 GWSA Greenwood Sejahtera 0.352 0.853 0.095 5 DILD Intiland Development 0.420 0.832 2.043 6 JRPT Jaya Real Property 0.434 0.461 0.419 7 LPCK Lippo Cikarang 0.428 0.299 0.263 8 LPKR Lippo Karawaci 0.307 0.363 0.297 9 EMDE Megapolitan Development 0.220 0.202 0.454 10 MDLN Modernland Realty 0.635 1.168 0.583 11 GPRA Perdana Gapura Prima 0.240 0.191 0.250 12 RODA Pikko Land Development 7.998 0.279 2.617 13 BKSL Sentul City 0.189 0.424 1.641 Debt to Asset Ratio DAR 1 DUTI Duta Pertiwi 0.313 0.218 0.191 2 FMII Fortune Mate Indonesia 0.293 0.296 0.341 3 GMTD Gowa Makassar Tourism Development 0.644 0.740 0.692 4 GWSA Greenwood Sejahtera 0.300 0.205 0.207 5 DILD Intiland Development 0.333 0.351 0.456 6 JRPT Jaya Real Property 0.535 0.556 0.565 7 LPCK Lippo Cikarang 0.598 0.566 0.528 8 LPKR Lippo Karawaci 0.485 0.356 0.547 9 EMDE Megapolitan Development 0.409 0.409 0.406 10 MDLN Modernland Realty 0.530 0.515 0.515 11 GPRA Perdana Gapura Prima 0.473 0.463 0.399 12 RODA Pikko Land Development 0.365 0.439 0.422 13 BKSL Sentul City 0.132 0.217 0.355

Debt to Equity Ratio DER 1 DUTI Duta Pertiwi 0.456 0.279 0.236 2 FMII Fortune Mate Indonesia 0.414 0.421 0.517 3 GMTD Gowa Makassar Tourism Development 1.809 2.849 2.242 4 GWSA Greenwood Sejahtera 0.428 0.257 0.236 5 DILD Intiland Development 0.498 0.542 1.000 6 JRPT Jaya Real Property 1.149 1.250 1.297 7 LPCK Lippo Cikarang 1.486 1.305 1.119 8 LPKR Lippo Karawaci 0.941 0.772 1.208 9 EMDE Megapolitan Development 0.693 0.692 0.682 10 MDLN Modernland Realty 1.126 1.063 1.063 11 GPRA Perdana Gapura Prima 0.897 0.864 0.664 12 RODA Pikko Land Development 0.574 0.782 0.598 13 BKSL Sentul City 0.151 0.278 0.550 Return on Asset ROA 1 DUTI Duta Pertiwi 0.081 0.093 0.101 2 FMII Fortune Mate Indonesia -0.002 0.003-0.019 3 GMTD Gowa Makassar Tourism Development 0.101 0.071 0.070 4 GWSA Greenwood Sejahtera 0.120 0.209 0.071 5 DILD Intiland Development 0.026 0.033 0.044 6 JRPT Jaya Real Property 0.085 0.086 0.089 7 LPCK Lippo Cikarang 1.262 0.144 0.153 8 LPKR Lippo Karawaci 0.045 0.053 0.051 9 EMDE Megapolitan Development 0.003 0.005 0.036 10 MDLN Modernland Realty 0.029 0.057 0.254 11 GPRA Perdana Gapura Prima 0.036 0.043 0.080 12 RODA Pikko Land Development 0.005 0.029 0.154 13 BKSL Sentul City 0.026 0.036 0.057

APPENDIX 3 OUTPUT SPSS 22 Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation ROA 39-15.430 20.930 5.51026 5.713970 WCT 39-12.780 27.850 1.36385 5.302590 RI 39.160 1.870 1.04718.362230 IT 39.100 8.000.77256 1.297325 DAR 39.120.780.42462.155222 DER 39.130 3.560.89667.682138 Valid N (listwise) 39 Regression Variables Entered/Removed a Variables Variables Model Entered Removed Method 1 DER, IT, RI, WCT, DAR b. Enter a. Dependent Variable: ROA b. All requested variables entered. Model Summary b Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson 1.472 a.223.105 5.404412 2.337 a. Predictors: (Constant), DER, IT, RI, WCT, DAR b. Dependent Variable: ROA

ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 276.826 5 55.365 1.896.122 b Residual 963.853 33 29.208 Total 1240.679 38 a. Dependent Variable: ROA b. Predictors: (Constant), DER, IT, RI, WCT, DAR Collinearity Diagnostics a Dime Condition Variance Proportions Model nsion Eigenvalue Index (Constant) WCT RI IT DAR DER 1 1 4.058 1.000.00.00.00.01.00.00 2 1.036 1.980.00.30.00.12.00.00 3.639 2.521.00.13.00.71.00.00 4.216 4.334.02.22.13.13.01.06 5.042 9.881.45.03.86.02.01.07 6.010 20.450.53.32.00.00.99.86 a. Dependent Variable: ROA Charts

NPar Tests One-Sample Kolmogorov-Smirnov Test Unstandardized Residual N 39 Normal Parameters a,b Mean.0000000 Std. Deviation 5.03632381 Most Extreme Differences Absolute.096 Positive.086 Negative -.096 Test Statistic.096 Asymp. Sig. (2-tailed).200 c,d a. Test distribution is Normal. b. Calculated from data. c. Lilliefors Significance Correction. d. This is a lower bound of the true significance.