LAMPIRAN Perhitungan yang dipakai dalam penelitian ini adalah dengan menggunakan analisis regresi dan analisis grafik. Seluruh perhitungan dilakukan dengan menggunakan program Statistik SPSS. Berikut ini disajikan hasil grafik dan hasil perhitungan regresi dengan menggunakan program Statistik SPSS, antara biaya pemasaran dengan volume penjualan pada CV. Permata Sejati dari bulan Januari sampai Desember 2006. Universitas Kristen Maranatha
GAJI PEGAWAI SUMMARY OUTPUT Regression Statistics Multiple R 0.623681967 R Square 0.388979196 Adjusted R Square 0.327877116 Standard Error 5897498.184 Observations 12 ANOVA df SS MS F Significance F Regression 1 2.21414E+14 2.214E+14 6.366055 0.030226086 Residual 10 3.47805E+14 3.478E+13 Total 11 5.69219E+14 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 4319839.215 9047398.851 0.4774675 0.643294-15839021.59 24478700.02-15839021.59 24478700.02 X Variable 1 707.2139842 280.2951939 2.5231042 0.030226 82.67737535 1331.750593 82.67737535 1331.750593
KOMISI PENJUALAN SUMMARY OUTPUT Regression Statistics Multiple R 0.105079975 R Square 0.011041801 Adjusted R Square -0.087854019 Standard Error 885777.1347 Observations 12 ANOVA df SS MS F Significance F Regression 1 87601374365 8.76E+10 0.111651 0.745174256 Residual 10 7.84601E+12 7.846E+11 Total 11 7.93361E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 3784399.893 1358877.744 2.7849451 0.019286 756631.6087 6812168.178 756631.6087 6812168.178 X Variable 1 14.06705855 42.09905047 0.3341419 0.745174-79.73547102 107.8695881-79.73547102 107.8695881
BIAYA SEWA SUMMARY OUTPUT Regression Statistics Multiple R 1 R Square 1 Adjusted R Square 1 Standard Error 0 Observations 12 ANOVA df SS MS F Significance F Regression 1 0 0 #NUM! #NUM! Residual 10 0 0 Total 11 0 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 2000000 0 65535 #NUM! 2000000 2000000 2000000 2000000 X Variable 1 0 0 65535 #NUM! 0 0 0 0
BIAYA PROMOSI SUMMARY OUTPUT Regression Statistics Multiple R 0.162812012 R Square 0.026507751 Adjusted R Square -0.070841474 Standard Error 1584349.227 Observations 12 ANOVA df SS MS F Significance F Regression 1 6.83506E+11 6.835E+11 0.272295454 0.613157368 Residual 10 2.51016E+13 2.51E+12 Total 11 2.57851E+13 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 3976495.347 2430562.746 1.636039 0.13287515-1439135.916 9392126.609-1439135.916 9392126.609 X Variable 1 39.29334006 75.30065461 0.5218194 0.613157368-128.4869733 207.0736535-128.4869733 207.0736535
BIAYA PEMBUNGKUSAN & PENGIRIMAN SUMMARY OUTPUT Regression Statistics Multiple R 0.484001099 R Square 0.234257064 Adjusted R Square 0.15768277 Standard Error 4010013.788 Observations 12 ANOVA df SS MS F Significance F Regression 1 4.91928E+13 4.919E+13 3.059212859 0.110849259 Residual 10 1.60802E+14 1.608E+13 Total 11 2.09995E+14 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 11200956.62 6151794.033 1.8207626 0.098653947-2506094.612 24908007.86-2506094.612 24908007.86 X Variable 1 333.3485338 190.5871875 1.7490606 0.110849259-91.30618151 758.0032491-91.30618151 758.0032491
BIAYA PEMELIHARAAN KENDARAAN SUMMARY OUTPUT Regression Statistics Multiple R 0.277240161 R Square 0.076862107 Adjusted R Square -0.015451683 Standard Error 2117464.527 Observations 12 ANOVA df SS MS F Significance F Regression 1 3.73317E+12 3.733E+12 0.832617827 0.382987849 Residual 10 4.48366E+13 4.484E+12 Total 11 4.85697E+13 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 6464328.391 3248419.165 1.9899921 0.074621586-773600.526 13702257.31-773600.526 13702257.31 X Variable 1-91.83047514 100.6384591-0.912479 0.382987849-316.066935 132.4059847-316.066935 132.4059847
BIAYA ADMINISTRASI SUMMARY OUTPUT Regression Statistics Multiple R 0.486610267 R Square 0.236789552 Adjusted R Square 0.160468507 Standard Error 229669.9599 Observations 12 ANOVA df SS MS F Significance F Regression 1 1.63654E+11 1.637E+11 3.102545989 0.108656128 Residual 10 5.27483E+11 5.275E+10 Total 11 6.91137E+11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 257415.7963 352338.5115 0.7305923 0.481794331-527643.3268 1042474.919-527643.3268 1042474.919 X Variable 1 19.22698307 10.91571102 1.7614046 0.108656128-5.094736661 43.54870279-5.094736661 43.54870279
BIAYA LISTRIK, AIR, & TELEPON SUMMARY OUTPUT Regression Statistics Multiple R 0.098963995 R Square 0.009793872 Adjusted R Square -0.08922674 Standard Error 1208981.678 Observations 12 ANOVA df SS MS F Significance F Regression 1 1.44567E+11 1.446E+11 0.09890741 0.759608212 Residual 10 1.46164E+13 1.462E+12 Total 11 1.47609E+13 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 12284469.44 1854708.404 6.6233967 5.90249E-05 8151921.6 16417017.27 8151921.6 16417017.27 X Variable 1-18.07099097 57.46025574-0.314495 0.759608212-146.1004187 109.9584367-146.1004187 109.9584367
Hubungan antara Biaya Pemasaran dengan Volume Penjualan SUMMARY OUTPUT Regression Statistics Multiple R 0.586068659 R Square 0.343476473 Adjusted R Square 0.27782412 Standard Error 9228631.498 Observations 12 ANOVA df SS MS F Significance F Regression 1 4.45576E+14 4.45576E+14 5.231746595 0.04522079 Residual 10 8.51676E+14 8.51676E+13 Total 11 1.29725E+15 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 44287904.7 14157716.95 3.128181249 0.010723627 12742545.64 75833263.76 12742545.64 75833263.76 X Variable 1 1003.248433 438.6166768 2.28730116 0.04522079 25.94957898 1980.547288 25.94957898 1980.547288
Grafik BIaya Gaji terhadap Volume Penjualan 50,000,000 49,525,000 47,500,000 45,000,000 42,500,000 40,000,000 Mean VAR00001 37,500,000 35,000,000 32,500,000 30,000,000 27,500,000 25,000,000 22,500,000 25,150,000 24,500,000 23,850,000 24,500,000 24,700,000 25,500,000 23,850,000 25,100,000 25,100,000 24,300,000 24,800,000 20,000,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00002 Volume Penjualan (ton)
Grafik Komisi Penjualan terhadap Volume Penjualan 6,500,000 6,208,000 6,000,000 5,500,000 Mean VAR00004 5,000,000 4,500,000 5,063,675 4,886,076 4,886,076 4,203,925 4,000,000 3,708,875 3,761,923 3,721,495 3,641,900 3,581,991 3,500,000 3,662,025 3,438,200 3,000,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00005 Volume Penjualan (ton)
Grafik Biaya Sewa terhadap Volume Penjualan 4,000,000 3,500,000 3,000,000 Mean VAR00007 2,500,000 2,000,000 1,500,000 1,000,000 500,000 0 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00008 Volume Penjualan (ton)
Grafik Biaya Promosi terhadap Volume Penjualan 8,000,000 7,500,000 7,538,750 7,644,500 7,000,000 6,500,000 6,425,000 Mean VAR00010 6,000,000 5,500,000 5,000,000 6,160,000 4,780,000 5,700,441 5,521,000 4,500,000 4,700,120 4,000,000 3,967,350 3,500,000 3,467,082 3,414,520 3,347,075 3,000,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00011 Volume Penjualan (ton)
Grafik Biaya Pembungkusan & Pengiriman terhadap Volume Penjualan 35,000,000 32,500,000 32,851,235 30,000,000 Mean VAR00013 27,500,000 25,000,000 22,500,000 22,192,614 23,153,235 22,432,428 25,487,773 22,221,544 21,134,370 20,000,000 19,854,499 19,330,920 18,706,457 18,406,987 17,500,000 15,451,200 15,000,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00014 Volume Penjualan (ton)
Grafik Biaya Pemeliharaan Kendaraan terhadap Volume Penjualan 8,000,000 7,339,300 7,000,000 6,238,500 6,000,000 5,432,500 Mean VAR00016 5,000,000 4,000,000 4,366,500 4,254,000 3,196,500 3,463,175 3,000,000 2,855,000 2,593,500 2,000,000 1,499,000 1,000,000 1,084,000 316,000 0 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00017 Volume Penjualan (ton)
Grafik Biaya Administrasi terhadap Volume Penjualan 1,300,000 1,241,935 1,200,000 1,209,750 1,100,000 1,081,500 1,041,700 1,000,000 Mean VAR00019 900,000 800,000 907,985 828,400 802,350 909,100 700,000 707,300 709,235 600,000 500,000 499,425 464,600 400,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00020 Volume Penjualan (ton)
Grafik Biaya Listrik, Air, & Telepon terhadap Volume Penjualan 14,000,000 13,923,009 13,500,000 13,275,860 13,000,000 12,500,000 Mean VAR00022 12,000,000 11,500,000 11,000,000 12,127,230 11,525,391 11,106,790 11,179,367 12,020,086 11,906,400 11,588,887 10,798,708 11,739,017 10,500,000 10,000,000 9,500,000 9,348,358 9,000,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00023 Volume Penjualan (ton)
Grafik Hubungan Biaya Pemasaran terhadap Volume Penjualan 1.10E8 1.05E8 105,379,301 1.00E8 Mean VAR00025 9.50E7 9.00E7 8.50E7 90,122,504 8.00E7 7.50E7 74,515,897 73,896,844 7.00E7 73,741,141 72,205,619 73,280,415 72,369,590 72,199,488 69,882,127 67,354,234 68,161,459 6.50E7 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00026 Volume Penjualan (ton)
Grafik Biaya Alat Tulis Kantor terhadap Volume Penjualan 1,300,000 1,241,935 1,200,000 1,209,750 1,100,000 1,081,500 1,041,700 1,000,000 Mean VAR00019 900,000 800,000 907,985 828,400 802,350 909,100 700,000 707,300 709,235 600,000 500,000 499,425 464,600 400,000 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 VAR00020 Volume Penjualan (ton)