BAB V KESIMPULAN, KETERBATASAN DAN SARAN
5.3. Saran
Adapun saran atas dasar kesimpulan dan keterbatasan penelitian, adalah sebagai berikut:
1. Pada penelitian selanjutnya diharapkan dapat menggunakan variabel-variabel lain yang mungkin mempengaruhi pengalokasian anggaran Belanja Modal.
2. Sampel yang digunakan lebih luas dan waktu pengamatan yang lebih panjang sehingga hasilnya dapat digeneralisir.
DAFTAR PUSTAKA
Andy, Field, 2009. Discovering Statistics using SPSS Third Edition. Penerbit:
Sage Publications, London.
Boediono, 2010, Ekonomi Indonesia Mau ke Mana? Kumpulan Esai Ekonomi., Edisi Ketiga, Penerbit: KPG (Kepustakaan Populer Gramedia), Jakarta.
Cooper, Donald R; Emory, C. William, 1996. Metode Penelitian Bisnis, Penerbit : Erlangga, Jakarta.
Departemen Keuangan Republik Indonesia, Peraturan Direktorat Jenderal Perbendaharaan Nomor PER-33/PB/2008 Tentang Pedoman Penggunaan Akun Pendapatan.
Jensen, Michael C. dan Meckling. William H., 1976, “Theory of The Firm:
Managerial Behavior, Agency Cost, and Ownership Structure”, Journal of Financial Economics, Volume 3 Nomor 4, October pp. 305-360
Kasyanti, 2015, Pengaruh Dana Alokasi Umum, Dana Alokasi Khusus, Pendapatan Asli Daerah, Pertumbuhan Ekonomi, Dana Bagi Hasil dan Kemandirian Fiskal Terhadap Pengalokasian Anggaran Belanja Modal (Studi Kasus Pada Pemerintah Kabupaten/Kota di Jawa Tengah), Skripsi, Universitas Negeri Semarang, Semarang.
Laura. Ayu, 2015, Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum, Dana Alokasi Khusus, dan Pertumbuhan Ekonomi Terhadap Pengalokasian Anggaran Belanja Modal Kabupaten/Kota di Provinsi Sumatera Utara.
Skripsi, Universitas Sumatera Utara, Medan.
Novalia, Nanda Dwi, 2016. Pengaruh Pertumbuhan Ekonomi, Pendapatan Asli Daerah, dan Dana Alokasi Umum Terhadap Pengalokasian Anggaran Belanja Modal Pada Pemerintahan Daerah Kabupaten/Kota di Provinsi Lampung, Skripsi, Universitas Lampung. Bandar Lampung.
Purwanto, dan Devi. Fiona Puspita, 2013, Pengaruh Pertumbuhan Ekonomi, Pendapatan Asli Daerah (PAD), dan Dana Alokasi Umum (DAU) Terhadap Belanja Modal (Studi Kasus Pada Kabupaten dan Kota di Provinsi Jawa Tengah Tahun 2008-2011, Skripsi, Universitas Negeri Yogyakarta. Yogyakarta.
Republik Indonesia, Keputusan Perdana Menteri Republik Indonesia Nomor 1/Missi/1959 Tentang Keistimewaan Provinsi Aceh.
________________, Peraturan Pemerintah Nomor 24 Tahun 2005 Tentang Standar Akuntansi Pemerintahan.
________________, Peraturan Pemerintah Nomor 58 Tahun 2008 Tentang Pengelolaan Keuangan Daerah.
________________, Undang-Undang Nomor 11 Tahun 2006 Tentang Pemerintahan Aceh.
________________, Undang-Undang Nomor 18 Tahun 2001 Tentang Otonomi Khusus Bagi Provinsi D.I Aceh sebagai Provinsi Nanggroe Aceh Darussalam.
________________, Undang-Undang Nomor 23 Tahun 2014 Tentang Pemerintahan Daerah.
________________, Undang-Undang Nomor 25 Tahun 1999 Tentang Perimbangan Keuangan antara Pemerintah Pusat dan Daerah.
________________, Undang-Undang Nomor 28 Tahun 2009 Tentang Pajak Daerah dan Retribusi Daerah.
________________, Undang-Undang Nomor 32 Tahun 2004 Tentang Pemerintahan Daerah
.
________________, Undang-Undang Nomor 33 Tahun 2004 Tentang Perimbangan Keuangan Antara Pusat dan Daerah.
________________, Undang-Undang Nomor 34 Tahun 2000 Tentang Pajak Daerah dan Retribusi Daerah
________________, Undang-Undang Nomor 44 Tahun 1999 Tentang Provinsi Daerah Istimewa Aceh.
Romario, 2012, Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum, dan Dana Bagi Hasil Terhadap Pengalokasian Belanja Modal Kabupaten/Kota di Sumatera Utara. Skripsi. Universitas Sumatera Utara.
Medan
Sukirno. Sadono, 2006, Ekonomi Pembangunan, Penerbit: Kencana, Jakarta.
Syafitri. Irma, 2009, Pengaruh Pertumbuhan Ekonomi, Pendapatan Asli Daerah, dan Dana Alokasi Umum Terhadap Pengalokasian Anggaran Belanja Modal Pada Pemerintahan Kabupaten/Kota di Propinsi Sumatera Utara.
Skripsi, Universitas Sumatera Utara, Medan.
Syaiful, 2006, “Pengertian dan Pelakuan Akuntansi Belanja Barang dan Belanja Modal dalam Kaidah Akuntansi Pemerintahan”, Makalah Akuntansi.
Widiasih, Ni Nyoman Gayatri, 2017, “Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum, Dana Bagi Hasil Pada Belanja Modal Kabupaten/Kota di Provinsi Bali”, E- Jurnal Akuntansi Universitas Udayana, 18(3): 2143-2171.
www.djpk.depkeu.go.id www.aceh.bps.go.id www.id.wikipedia.org www.anggaran.depkeu.go.id
Lampiran 1.
Produk Domestik Bruto (PDRB) Berdasarkan Harga Konstan 2010 Kabupaten/kota Nanggroe Aceh Darussalam Tahun 2012 – 2016
Sumber :www.aceh.bps.go.id
Kab/kota 2012 2013 2014 2015 2016
Kab, Aceh Barat 4.594.544 4.773.669 4.940.843 5.151.378 5.315.211 Kab, Aceh Besar 7.549.096 7.863.467 8.186.703 8.516.060 8.858.410 Kab, Aceh Selatan 3.115.598 3.281.364 3.432.179 3.577.878 3.743.404 Kab, Aceh Singkil 1.315.931 1.374.981 1.433.172 1.488.739 1.538.875 Kab, Aceh Tengah 4.347.739 4.584.209 4.770.082 4.970.492 5.174.300 Kab, Aceh Tenggara 2.578.093 2.704.181 2.810.303 2.925.061 3.053.555 Kab, Aceh Timur 7.677.934 7.761.221 7.727.472 7.265.486 7.161.995 Kab, Aceh Utara 18.151.766 17.836.613 17.218.546 15.241.600 15.347.960 Kab, Bireuen 7.689.706 7.999.504 8.171.311 8.473.560 8.830.808 Kab, Pidie 5.801.221 6.046.953 6.296.490 6.604.680 6.853.560 Kab, Simeulue 1.180.151 1.235.543 1.292.865 1.353.914 1.409.970 Kota Banda Aceh 11.079.680 11.597.228 12.119.047 12.725.924 13.528.295
Kota Sabang 806.875 841.006 874.079 908.359 957.239
Kota Langsa 2.851.123 2.981.532 3.113.491 3.255.002 3.391.385 Kota Lhokseumawe 8.980.377 8.878.224 8.347.714 6.859.831 6.462.392 Kab, Gayo Lues 1.531.659 1.590.760 1.654.169 1.717.855 1.790.153 Kab, Aceh Barat Daya 2.347.145 2.401.899 2.427.765 2.508.889 2.623.871 Kab, Aceh Jaya 1.541.268 1.590.573 1.651.201 1.718.900 1.783.047 Kab, Nagan Raya 4.867.307 5.032.698 5.181.130 5.382.710 5.663.668 Kab, Aceh Tamiang 4.651.203 4.885.619 5.001.672 5.145.112 5.280.861 Kab, Bener Meriah 2.661.124 2.804.613 2.933.324 3.078.472 3.206.537 Kab, Pidie Jaya 1.918.491 2.005.779 2.077.391 2.180.883 2.260.711 Kota Subulussalam 984.713 1.033.528 1.087.850 1.142.557 1.198.938
Lampiran 2.
Pendapatan Asli Daerah (PAD) kabupaten/kota Nanggroe Aceh Darussalam Tahun 2013 – 2016
Sumber : www.depkeu.djpk.go.id
Kab/kota 2013 2014 2015 2016
Kab. Aceh Barat 46.928.106.803 112.034.104.121 130.428.452.038 140.614.479.580 Kab. Aceh Besar 76.107.259.036 114.542.978.639 140.533.050.822 135.284.494.844 Kab. Aceh Selatan 36.181.171.785 78.487.063.289 92.665.502.126 125.989.165.879 Kab. Aceh Singkil 18.024.823.053 31.030.277.202 39.375.695.217 42.057.160.523 Kab. Aceh Tengah 76.870.446.782 132.068.284.863 157.886.839.912 156.130.102.890 Kab. Aceh Tenggara 25.620.560.182 56.043.722.466 59.153.235.036 61.457.042.356 Kab. Aceh Timur 42.805.235.988 86.544.530.935 98.704.908.472 94.345.443.632 Kab. Aceh Utara 99.869.693.144 178.550.865.626 194.029.636.826 388.251.800.973 Kab. Bireuen 93.893.140.984 172.302.227.983 173.972.782.734 186.162.575.752 Kab. Pidie 76.878.689.100 166.598.720.923 210.501.782.065 249.489.453.846 Kab. Simeulue 15.309.778.449 34.956.712.854 45.938.231.973 48.646.141.736 Kota Banda Aceh 129.122.120.462 171.777.275.448 209.914.107.301 258.591.409.669 Kota Sabang 27.377.339.120 42.723.293.975 49.602.766.629 47.776.631.105 Kota Langsa 57.264.657.776 114.168.702.058 109.116.860.676 121.369.467.376 Kota Lhokseumawe 36.213.933.082 48.730.219.320 56.560.454.282 56.348.631.473 Kab. Gayo Lues 20.213.909.299 28.906.170.978 41.407.502.305 46.277.349.072 Kab. Aceh Barat Daya 32.534.985.971 58.384.755.218 61.190.085.187 80.496.800.924 Kab. Aceh Jaya 20.646.749.350 36.406.713.759 40.385.794.989 45.774.374.212 Kab. Nagan Raya 37.942.005.578 65.177.801.946 79.938.395.926 104.202.917.806 Kab. Aceh Tamiang 42.592.561.280 97.374.583.496 100.454.203.157 114.051.092.364 Kab. Bener Meriah 18.918.704.154 44.090.831.965 58.753.978.243 66.454.059.145 Kab. Pidie Jaya 14.052.583.435 29.851.341.064 44.573.668.037 45.986.243.650 Kota Subulussalam 8.287.512.018 25.220.557.442 35.905.412.863 42.314.514.319
Lampiran 3.
Dana Alokasi Umum (DAU) kabupaten/kota Nanggroe Aceh Darussalam Tahun 2013 – 2016
Sumber : www.depkeu.djpk.go.id
Kab/kota 2013 2014 2015 2016
Kab. Aceh Barat 507.582.407.000 549.687.325.361 565.634.080.000 580.525.044.000 Kab. Aceh Besar 618.323.628.000 673.776.666.000 698.185.445.000 720.668.458.000 Kab. Aceh Selatan 528.579.445.000 582.668.161.000 604.474.808.000 649.570.785.000 Kab. Aceh Singkil 336.786.951.000 380.851.529.000 399.966.120.000 436.600.103.000 Kab. Aceh Tengah 513.863.035.000 564.691.527.000 579.832.765.000 613.313.520.000 Kab. Aceh Tenggara 470.577.374.000 512.842.436.881 539.245.123.000 594.675.376.000 Kab. Aceh Timur 600.936.437.000 703.898.153.000 730.055.738.000 784.102.687.000 Kab. Aceh Utara 690.327.098.000 755.061.139.000 738.765.524.000 843.915.863.000 Kab. Bireuen 699.060.589.000 770.780.301.000 780.023.926.000 816.856.418.000 Kab. Pidie 683.766.687.000 746.937.953.000 766.392.994.000 809.163.289.000 Kab. Simeulue 345.242.688.000 378.820.205.200 403.115.791.000 439.543.813.000 Kota Banda Aceh 567.628.828.000 610.554.730.000 612.503.568.000 602.292.108.000 Kota Sabang 381.240.982.000 324.038.882.000 332.562.082.000 353.813.480.000 Kota Langsa 301.933.548.000 419.767.005.000 425.446.753.000 451.951.928.000 Kota Lhokseumawe 437.793.850.000 469.956.588.000 469.107.319.000 467.846.597.000 Kab. Gayo Lues 374.040.972.000 403.096.648.000 416.868.039.000 466.817.081.000 Kab. Aceh Barat Daya 362.624.746.000 406.138.315.000 416.171.312.000 459.078.723.000 Kab. Aceh Jaya 341.773.459.000 382.101.138.000 400.638.553.000 422.268.332.000 Kab. Nagan Raya 464.191.402.000 500.941.291.000 503.087.763.000 515.602.317.000 Kab. Aceh Tamiang 423.677.588.000 467.034.124.000 486.741.323.000 542.165.803.000 Kab. Bener Meriah 375.310.917.000 410.897.128.000 432.742.891.000 456.974.428.000 Kab. Pidie Jaya 350.574.172.000 391.789.535.000 402.160.221.000 427.787.226.000 Kota Subulussalam 251.634.726.000 278.513.125.000 292.296.821.000 346.538.214.000
Lampiran 4.
Dana Alokasi Khusus (DAK) kabupaten/kota Nanggroe Aceh Darussalam Tahun 2013 – 2016
Sumber : www.depkeu.djpk.go.id
Kab/kota 2013 2014 2015 2016
Kab. Aceh Barat 69.100.470.000 71.422.070.000 84.135.200.000 150.057.206.123 Kab. Aceh Besar 75.506.040.000 77.168.330.000 139.486.170.000 315.141.289.592 Kab. Aceh Selatan 66.938.680.000 63.233.840.000 197.501.930.000 315.369.155.238 Kab. Aceh Singkil 56.596.650.000 51.648.640.000 196.611.870.000 192.988.104.387 Kab. Aceh Tengah 41.803.310.000 48.446.100.000 170.831.310.000 382.808.760.675 Kab. Aceh Tenggara 40.861.120.000 46.192.990.000 195.706.000.000 344.073.219.825 Kab. Aceh Timur 81.223.480.000 91.686.320.000 122.059.400.000 205.137.668.153 Kab. Aceh Utara 56.315.630.000 70.250.520.000 107.065.750.000 275.015.671.592 Kab. Bireuen 59.183.470.000 61.083.950.000 178.671.764.950 278.901.191.871 Kab. Pidie 67.887.650.000 65.717.570.000 176.430.880.000 306.540.420.153 Kab. Simeulue 69.202.430.000 67.027.470.000 85.960.100.000 159.484.180.915 Kota Banda Aceh 31.003.110.000 38.833.120.000 42.758.540.000 168.636.091.947 Kota Sabang 28.135.400.000 31.401.610.000 54.471.721.000 132.841.133.377 Kota Langsa 29.920.830.000 32.355.330.000 60.351.491.000 187.184.335.202 Kota Lhokseumawe 30.890.340.000 33.752.780.000 79.336.830.000 177.543.384.827 Kab. Gayo Lues 48.430.790.000 51.885.490.000 189.462.140.000 219.874.848.991 Kab. Aceh Barat Daya 65.504.540.000 67.440.970.000 189.808.600.000 263.260.136.001 Kab. Aceh Jaya 53.468.110.000 55.013.090.000 183.187.170.000 217.860.074.384 Kab. Nagan Raya 58.981.370.000 74.559.290.000 92.574.870.000 116.001.498.649 Kab. Aceh Tamiang 41.006.940.000 46.182.210.000 153.324.090.000 247.089.944.122 Kab. Bener Meriah 52.306.820.000 60.325.290.000 79.820.830.000 173.933.538.546 Kab. Pidie Jaya 50.647.270.000 55.700.990.000 181.933.740.000 235.696.469.825 Kota Subulussalam 27.457.570.000 27.329.480.000 146.133.970.000 189.106.734.176
Lampiran 5.
Dana Bagi Hasil (DBH) kabupaten/kota Nanggroe Aceh Darussalam Tahun 2013 – 2016
Sumber : www.depkeu.djpk.go.id
Kab/kota 2013 2014 2015 2016
Kab. Aceh Barat 33.621.752.500 38.444.842.041 23.925.620.761 22.026.073.759 Kab. Aceh Besar 35.906.297.895 28.802.542.993 22.279.363.542 21.574.428.371 Kab. Aceh Selatan 46.233.300.279 27.318.061.639 21.294.069.421 15.054.695.167 Kab. Aceh Singkil 31.064.131.399 34.132.280.919 19.728.465.621 19.895.798.703 Kab. Aceh Tengah 33.942.323.205 28.435.211.078 24.104.878.997 17.786.532.944 Kab. Aceh Tenggara 30.061.515.618 25.723.740.630 17.723.484.559 16.116.871.579 Kab. Aceh Timur 94.753.613.533 89.829.169.804 60.237.634.658 62.702.500.883 Kab. Aceh Utara 511.392.051.995 479.409.416.999 358.825.330.852 177.720.824.163 Kab. Bireuen 43.171.658.109 34.792.301.095 26.200.824.745 24.712.964.929 Kab. Pidie 43.777.497.344 26.171.116.590 21.841.375.946 20.869.128.332 Kab. Simeulue 37.140.684.545 24.882.325.667 15.722.043.621 13.686.271.826 Kota Banda Aceh 33.101.195.105 36.564.945.848 25.039.648.050 30.872.881.523 Kota Sabang 29.555.791.501 26.859.405.671 15.702.496.259 17.357.382.844 Kota Langsa 44.033.331.141 27.295.891.550 19.300.064.709 17.668.460.044 Kota Lhokseumawe 82.257.893.884 73.828.733.046 62.431.349.509 42.965.175.599 Kab. Gayo Lues 36.842.393.092 33.379.439.846 25.177.855.667 23.502.041.055 Kab. Aceh Barat Daya 37.995.618.036 23.887.383.821 16.349.842.490 13.639.162.964 Kab. Aceh Jaya 31.573.641.530 22.951.360.112 18.036.116.640 15.590.951.898 Kab. Nagan Raya 37.536.741.544 40.246.985.153 25.523.797.933 19.361.099.635 Kab. Aceh Tamiang 98.680.125.240 101.809.271.548 84.039.542.568 74.628.047.046 Kab. Bener Meriah 29.952.702.448 22.856.069.532 16.492.145.786 14.651.915.983 Kab. Pidie Jaya 27.809.406.818 21.675.355.373 15.788.539.509 13.789.147.865 Kota Subulussalam 26.133.762.711 20.145.562.353 15.861.221.035 12.477.315.997
Lampiran 6.
Belanja Modal (BM) kabupaten/kota Nanggroe Aceh Darussalam Tahun 2013 – 2016
Sumber : www.depkeu.djpk.go.id
Kab/kota 2013 2014 2015 2016
Kab. Aceh Barat 123.324.501.917 228.645.364.406 271.820.964.773 298.444.777.672 Kab. Aceh Besar 99.919.474.884 208.322.119.824 263.655.924.336 398.717.640.742 Kab. Aceh Selatan 127.431.161.961 224.391.345.558 337.270.191.875 362.466.116.640 Kab. Aceh Singkil 115.933.428.047 181.027.343.835 314.275.961.928 306.370.410.800 Kab. Aceh Tengah 128.030.161.649 251.948.329.876 384.854.442.208 512.060.288.509 Kab. Aceh Tenggara 77.163.179.096 193.730.540.087 346.875.826.581 394.681.862.052 Kab. Aceh Timur 137.283.107.054 349.857.633.085 332.336.613.883 375.863.215.945 Kab. Aceh Utara 303.807.173.984 371.406.787.897 379.276.402.398 375.094.424.679 Kab. Bireuen 159.420.332.527 259.167.608.310 300.826.524.192 303.367.904.350 Kab. Pidie 121.195.404.874 208.329.521.004 311.431.949.540 393.092.567.637 Kab. Simeulue 83.195.200.778 139.159.861.502 149.391.190.326 181.131.943.963 Kota Banda Aceh 123.374.799.410 207.564.197.996 221.109.932.994 259.597.341.647 Kota Sabang 62.345.673.049 100.018.203.685 138.624.539.925 174.460.682.618 Kota Langsa 63.891.887.609 149.334.377.367 174.548.981.891 294.379.982.765 Kota Lhokseumawe 119.231.217.739 167.464.463.352 223.021.063.652 235.985.010.488 Kab. Gayo Lues 131.343.219.012 228.352.216.095 346.114.285.476 385.702.742.429 Kab. Aceh Barat Daya 102.665.578.114 141.462.766.315 255.102.255.083 377.696.754.362 Kab. Aceh Jaya 118.539.577.879 202.075.069.877 263.885.318.188 341.608.872.896 Kab. Nagan Raya 153.868.302.218 349.081.723.373 399.147.688.269 332.800.183.744 Kab. Aceh Tamiang 83.186.472.527 228.528.582.465 366.296.679.877 347.581.527.211 Kab. Bener Meriah 116.005.178.587 235.990.600.021 237.458.856.251 279.065.275.550 Kab. Pidie Jaya 102.100.523.498 186.256.001.849 311.659.625.620 302.363.483.850 Kota Subulussalam 67.918.238.129 152.858.786.878 198.941.247.993 353.145.096.947
Lampiran 7.
Hasil Perhitungan Variabel
(Perhitungan Pertumbuhan Ekonomi dan Penambahan Logaritma Natural)
X1 X2 X3 X4 X5 Y1
3,89864 24,5719 26,9529 24,9588 24,2384 25,5381 4,16436 25,0554 27,1503 25,0475 24,3042 25,3276 5,32054 24,3118 26,9935 24,927 24,557 25,5708 4,4873 23,615 26,5427 24,7592 24,1593 25,4763 5,43892 25,0654 26,9652 24,4562 24,2479 25,5755 4,89076 23,9667 26,8772 24,4334 24,1265 25,0692 1,08476 24,4799 27,1218 25,1205 25,2745 25,6453 -1,7362 25,3271 27,2604 24,7542 26,9604 26,4397 4,02873 25,2654 27,273 24,8039 24,4885 25,7948 4,23587 25,0655 27,2509 24,9411 24,5024 25,5207 4,69363 23,4518 26,5675 24,9603 24,338 25,1445 4,67115 25,584 27,0647 24,1574 24,2228 25,5385 4,22997 24,033 26,6667 24,0603 24,1095 24,856 4,57395 24,7709 26,4335 24,1218 24,5082 24,8805 -1,1375 24,3127 26,805 24,1537 25,1331 25,5043 3,85864 23,7296 26,6476 24,6034 24,3299 25,6011 2,33281 24,2056 26,6166 24,9054 24,3607 25,3547 3,199 23,7508 26,5574 24,7024 24,1756 25,4985 3,398 24,3593 26,8636 24,8005 24,3486 25,7594 5,03989 24,4749 26,7722 24,437 25,3151 25,1444 5,39205 23,6634 26,651 24,6804 24,1229 25,4769 4,54982 23,3661 26,5828 24,6482 24,0486 25,3492 4,95724 22,838 26,2512 24,0359 23,9865 24,9416 3,502 25,4421 27,0326 24,9919 24,3725 26,1554 4,1106 25,4642 27,2362 25,0693 24,0837 26,0624 4,59609 25,0862 27,0909 24,8701 24,0308 26,1367 4,23213 24,1582 26,6657 24,6677 24,2535 25,9219 4,05466 25,6066 27,0595 24,6037 24,0709 26,2525 3,92437 24,7494 26,9632 24,5561 23,9707 25,9897 -0,4348 25,1839 27,2799 25,2416 25,2212 26,5808 -3,4652 25,9081 27,3501 24,9753 26,8958 26,6406 2,14772 25,8725 27,3707 24,8355 24,2727 26,2807 4,12666 25,8389 27,3392 24,9086 23,9879 26,0624
4,49951 25,8695 27,1376 24,3825 24,3224 26,0587 3,93261 24,478 26,5041 24,1701 24,0139 25,3286
4,42587 25,4609 26,763 24,2 24,03 25,7295
-5,9754 24,6096 26,8759 24,2423 25,025 25,844 3,98608 24,0873 26,7224 24,6723 24,2312 26,1542 1,07688 24,7903 26,73 24,9345 23,8966 25,6753 3,81171 24,318 26,669 24,7308 23,8566 26,0319 2,94934 24,9004 26,9398 25,0349 24,4183 26,5786 2,3754 25,3018 26,8697 24,5559 25,3464 26,1549 4,58924 24,5095 26,7416 24,823 23,8525 26,1871 3,57028 24,1195 26,694 24,7433 23,7994 25,9504 5,25594 23,9509 26,3527 24,0312 23,7262 25,7528 4,26111 25,5941 27,0612 25,1557 23,8982 26,3284 4,02307 25,6687 27,2718 25,6612 23,8269 26,2979 4,24509 25,2523 27,1276 26,009 23,7817 26,5442 3,87719 24,3964 26,7146 26,0045 23,7053 26,4735 4,20139 25,7851 27,086 25,8639 23,9057 26,6761 4,08346 24,8034 27,0134 25,9999 23,5982 26,5722 -5,9785 25,3154 27,3164 25,5278 24,8216 26,5294 -11,481 25,9913 27,3282 25,3967 26,6061 26,6615 3,69891 25,8822 27,3826 25,9088 23,9891 26,4298 4,89464 26,0728 27,365 25,8962 23,8071 26,4644 4,72199 24,5506 26,7225 25,1771 23,4783 25,7298 5,00763 26,07 27,1408 24,4788 23,9437 26,1219 3,92177 24,6273 26,5301 24,7209 23,4771 25,655 4,54509 25,4157 26,7764 24,8235 23,6834 25,8855 -17,824 24,7586 26,8741 25,097 24,8573 26,1305
3,85002 24,4467 26,756 25,9675 23,9492 26,57
3,3415 24,8373 26,7544 25,9693 23,5175 26,2649 4,09996 24,4217 26,7163 25,9338 23,6156 26,2988 3,89066 25,1045 26,944 25,2513 23,9629 26,7126 2,86784 25,333 26,911 25,7558 25,1546 26,6267 4,94826 24,7966 26,7934 25,1031 23,5262 26,1933 4,98182 24,5204 26,7201 25,9269 23,4826 26,4652 5,02891 24,3042 26,401 25,7078 23,4871 26,0163 3,18037 25,6693 27,0872 25,7343 23,8155 26,4219 4,02006 25,6306 27,3034 26,4763 23,7948 26,7115 4,62638 25,5595 27,1996 26,477 23,435 26,6162 3,36767 24,4623 26,8023 25,9859 23,7138 26,4481
4,10036 25,774 27,1421 26,6708 23,6017 26,9617 4,39286 24,8416 27,1113 26,5641 23,5031 26,7013 -1,4244 25,2702 27,3878 26,0469 24,8617 26,6525 0,69783 26,6849 27,4613 26,3401 25,9035 26,6504 4,21604 25,9499 27,4287 26,3541 23,9306 26,4382 3,76823 26,2427 27,4193 26,4486 23,7615 26,6973 4,14034 24,6078 26,809 25,7952 23,3397 25,9225 6,30501 26,2785 27,124 25,851 24,1531 26,2824 5,38114 24,5898 26,592 25,6124 23,5773 25,885 4,18994 25,5221 26,8368 25,9554 23,595 26,4081 -5,7937 24,7548 26,8714 25,9025 24,4837 26,187 4,20865 24,5579 26,8692 26,1163 23,8804 26,6783 4,58297 25,1115 26,8525 26,2964 23,3362 26,6574
3,73185 24,547 26,7689 26,1071 23,47 26,5569
5,21965 25,3696 26,9686 25,4769 23,6865 26,5308 2,63842 25,4599 27,0188 26,233 25,0358 26,5743 4,16 24,9198 26,8479 25,8819 23,4078 26,3547 3,66037 24,5516 26,7819 26,1858 23,3471 26,4349 4,93468 24,4684 26,5713 25,9656 23,2472 26,5901
Lampiran 8.
Normal Parametersa,b Mean ,0000000
Std. Deviation ,26842254
Most Extreme Differences Absolute ,049
Positive ,034
Negative -,049
Test Statistic ,049
Asymp. Sig. (2-tailed) ,200c,d
a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
d. This is a lower bound of the true significance.
Uji Multikolinearitas
Model
Collinearity Statistics
Tolerance VIF
1 (Constant)
PE ,623 1,604
PAD ,313 3,193
DAU ,267 3,746
DAK ,646 1,548
DBH , 460 2,172
a. Dependent variable : BM
Uji Heteroskedastisitas
Uji Autokorelasi
Model Summaryb
Model Durbin-Watson
1 1,721
a. Predictors: (Constant), DBH, PAD, DAK, PE, DAU b. Dependent Variable: BM
Analisis Regresi Linear Berganda
Uji Koefisien Determinasi (R²)
Coefficientsa
a. Predictors: (Constant), DBH, PAD, DAK, PE, DAU b. Dependent Variable: BM
Uji Parsial (t-test)
b. Predictors: (Constant), DBH, PAD, DAK, PE, DAU Coefficientsa