61 Lampiran 1 Kuesioner ANALISIS KUALITAS PELAYANAN CARGO RO-RO DI PELABUHAN PATIMBAN DENGAN METODE IMPORTANCE PERFORMANCE ANALISYS - POTENTIAL GAIN IN CUSTOMER VALUE NO. INDIKATOR Harapan Kinerja SS S N TS STS SS S N TS STS Reliability (R) 1 Kemudahan akses ke pelabuhan Patimban 2 Konsistensi Jadwal Pelayanan 3 Kemudahan proses penerimaan dan pengiriman Barang 4 Kemudahan proses konsolidasi barang 5 Kecepatan dan kemudahan pengurusan dokumen (ekspor/impor) 6 Sistem keamanan dan pengawasan yang Terintegrasi 7 Tarif yang kompetitif Responsiveness (RES) 8 Cepat dan tanggap dalam melayani customer 9 Cepat menindaklanjuti keluhan customer 10 Tersedia sarana untuk menyampaikan keluhan customer 11 Ada petugas yang membantu untuk menyampaikan keluhan customer Assurance (A) 12 Petugas bersikap ramah dan sopan dalam melayani konsumen 13 Petugas memberikan pelayanan dan informasi secara jelas 14 Informasi pelayanan mudah diperoleh, jelas serta mudah dimengerti 15 Adanya jaminan keamanan dan keselamatan barang dari kerusakan dan hilang (ISPS Code Compliance) Empathy (E) 16 Kepedulian terhadap kebutuhan dan keinginan customer 17 Melayani dengan adil (tanpa pilih pilih) 18 Sistem antrian berdasarkan first come first service Tangible (T) 19 Tersedianya Receiving/Delivery area, Temporary Storage Area dan Storage Area yang luas 20 Car Terminal Operating System (CARTOS) membantu dalam kegiatan operasional terminal kendaraan lebih efektif dan efisien 21 Peralatan bongkar muat yang memadai 22 Perkantoran bersih dan nyaman (kantor Port, Custom, Imigration, Quarantine dan operator) 62 Lampiran 2 Rekap Data Hasil Survey dan Output Aplikasi SPSS 1 2 3 4 5 6 7 8 9 10111213141516171819202122 1 2 3 4 5 6 7 8 9 10111213141516171819202122 1 3 5 5 4 2 2 1 5 5 5 4 4 4 5 2 5 4 4 4 4 5 5 87 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 109 2 2 5 4 4 2 2 2 4 2 4 4 2 2 4 2 4 4 2 2 2 2 2 63 5 5 5 5 5 5 4 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 107 3 3 5 4 5 2 1 2 5 4 5 5 5 5 5 2 5 4 4 5 5 5 5 91 4 5 5 4 4 5 5 4 4 4 4 5 5 5 5 5 4 5 5 5 5 5 102 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 89 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 5 5 5 5 5 109 5 3 4 4 5 2 1 4 4 4 4 5 5 5 5 4 4 5 5 4 4 5 4 90 5 5 5 4 5 4 4 2 4 4 4 4 4 4 5 5 5 5 5 5 5 5 98 6 3 3 5 3 2 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 69 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 89 7 3 3 3 3 3 3 3 5 4 3 3 3 3 3 3 3 3 3 3 3 3 3 69 4 5 5 5 5 5 5 5 5 4 5 5 5 5 5 4 5 4 5 5 5 5 106 8 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 4 5 4 4 5 5 4 4 5 5 5 5 4 4 4 5 4 5 4 5 5 4 99 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 5 5 5 5 5 5 5 5 4 4 4 5 5 5 5 5 5 5 5 5 5 5 107 10 3 4 5 4 3 2 2 4 4 5 4 5 5 4 2 4 4 4 5 5 4 4 86 5 5 4 4 5 5 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 99 11 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 12 2 5 4 5 3 2 2 4 4 5 5 5 5 4 2 4 5 4 5 4 5 5 89 5 5 5 5 5 5 5 4 5 5 5 5 4 4 5 4 4 5 5 5 5 5 105 13 2 4 5 4 2 2 4 5 5 5 5 4 5 4 4 4 5 4 4 4 5 5 91 5 5 4 4 5 5 4 5 5 5 5 5 5 5 5 5 5 5 4 5 4 4 104 14 3 3 3 5 2 2 2 4 3 3 3 3 3 3 2 3 4 3 3 3 3 3 66 4 5 5 5 5 5 5 4 4 4 5 4 4 4 5 5 5 4 4 4 4 4 98 15 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 67 5 5 4 4 4 4 5 5 4 4 4 5 5 5 5 5 5 5 4 5 4 4 100 16 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 89 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 17 4 4 4 5 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 5 5 92 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 18 4 4 4 5 4 2 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 88 4 5 4 4 5 5 4 5 4 4 4 4 4 4 5 5 5 4 4 4 4 5 96 19 3 4 5 5 1 2 2 5 5 5 5 5 5 5 2 5 5 5 5 5 5 4 93 4 5 5 5 5 4 5 4 4 4 4 4 4 4 5 5 4 5 4 4 4 5 97 20 2 4 4 5 2 2 2 4 4 4 4 5 4 5 2 4 5 5 4 4 5 4 84 5 5 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 5 5 105 21 3 3 5 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 70 5 5 5 5 5 5 5 5 4 4 4 5 5 5 5 5 5 5 5 5 5 5 107 22 4 5 5 5 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 4 5 107 4 5 5 5 5 5 5 4 4 4 4 5 4 4 4 5 5 4 5 5 5 5 101 23 3 4 5 5 3 5 4 5 5 5 4 4 4 4 4 4 4 5 4 5 5 5 96 5 5 4 4 5 5 4 5 4 4 4 4 4 4 5 5 4 5 5 5 5 5 100 24 3 5 4 5 3 3 2 5 5 5 5 4 4 5 2 4 5 5 5 4 4 5 92 5 5 4 4 5 4 5 4 4 4 5 4 4 4 4 5 5 4 5 5 5 5 99 25 2 5 4 5 2 2 3 5 4 5 5 4 5 4 3 4 4 5 5 5 5 4 90 4 5 5 5 5 5 4 5 5 5 5 5 4 4 5 5 4 5 5 5 5 5 105 26 2 5 5 5 2 3 2 5 5 5 4 5 4 5 2 4 4 5 5 4 5 5 91 5 5 4 4 4 5 4 4 4 4 4 5 5 5 5 5 4 5 4 5 4 4 98 27 3 4 5 4 2 3 2 5 4 5 5 5 4 4 2 4 5 5 4 4 5 5 89 4 5 5 5 5 5 5 5 4 4 4 4 4 4 5 5 4 4 4 4 4 4 97 28 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 109 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 29 3 5 4 4 3 3 4 5 4 5 4 4 5 5 4 5 5 4 5 5 4 5 95 4 4 4 4 5 5 5 4 4 4 5 5 5 5 5 5 5 5 4 4 4 4 99 30 2 2 5 2 2 2 2 2 2 2 2 2 2 4 2 2 2 2 2 2 2 2 49 5 4 4 4 4 5 5 5 4 4 4 4 4 4 4 5 5 5 4 4 4 4 95 31 3 4 4 5 2 2 2 5 4 5 4 5 5 5 2 4 5 5 5 5 5 4 90 5 4 4 5 5 5 5 4 4 4 4 4 4 4 5 5 4 5 5 5 5 5 100 32 2 4 5 5 2 3 2 5 5 4 5 5 4 5 2 4 4 5 4 5 5 5 90 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 33 3 5 4 4 2 2 4 5 4 5 4 5 5 4 4 4 4 4 4 5 5 5 91 5 5 5 5 5 4 5 5 5 5 5 4 4 4 5 4 5 5 4 4 4 5 102 34 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 103 35 2 5 5 4 3 3 2 5 4 5 5 5 5 4 2 4 4 5 5 4 4 5 90 5 4 4 4 4 5 5 4 4 4 4 4 4 4 5 5 4 4 4 5 5 5 96 36 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 88 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 37 2 5 5 5 3 2 2 5 5 4 4 5 5 5 2 5 4 4 5 5 5 4 91 5 5 5 5 5 4 5 4 4 5 5 5 5 5 5 5 5 5 4 4 4 4 103 38 3 4 5 4 3 2 4 5 5 4 4 4 5 5 4 4 5 5 4 4 5 5 93 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 110 39 2 5 5 5 2 2 2 5 4 5 5 5 5 5 2 4 4 5 5 5 4 5 91 5 4 4 5 5 5 5 4 4 4 4 4 4 4 5 5 5 4 4 4 4 4 96 40 2 4 4 4 3 3 2 5 5 4 4 4 5 4 2 4 4 5 4 5 5 5 87 5 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 108 41 3 3 3 3 3 3 3 5 3 3 4 3 3 3 3 4 4 4 3 3 3 3 72 5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 4 5 4 5 5 5 4 100 42 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 66 5 5 5 4 4 4 5 5 4 5 5 4 4 4 5 5 5 5 5 4 4 4 100 43 2 4 5 5 3 2 4 5 5 4 5 5 4 4 4 4 4 5 5 4 5 5 93 5 5 5 5 5 5 5 5 4 4 4 4 5 5 5 5 5 5 5 5 5 5 106 44 2 5 4 5 2 3 2 5 4 5 4 4 5 5 2 5 4 5 4 5 5 5 90 5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 5 4 4 4 4 5 5 99 45 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 68 5 5 5 4 5 4 5 5 5 5 5 5 5 5 5 5 5 4 5 5 5 5 107 46 3 5 3 3 3 2 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 69 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 5 5 5 5 5 5 109 47 2 5 4 5 2 3 1 5 5 4 4 5 5 4 2 4 4 4 4 5 4 5 86 5 5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 4 5 4 4 5 5 100 48 3 3 3 5 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 70 4 5 4 4 5 4 5 4 5 4 4 4 4 4 5 5 5 4 5 5 5 5 99 49 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 66 5 5 5 5 5 5 5 5 5 5 5 5 4 4 5 5 4 5 5 5 5 5 107 50 2 5 5 4 2 2 3 5 5 5 4 5 5 5 3 4 4 5 5 5 4 5 92 5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 103 51 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 66 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 5 5 5 5 107 52 2 4 2 4 2 2 2 2 2 4 2 2 2 2 2 2 2 4 2 2 2 2 52 5 5 4 4 4 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 106 Jumlah 152 214 216 219 148 147 154 226 207 214 209 214 212 213 156 204 208 213 207 208 212 213 4366 244 251 240 239 249 248 247 233 230 230 234 236 232 232 252 252 242 244 240 244 244 2455308 Rata-Rata2.924.124.154.212.852.832.964.353.984.124.024.124.084.103.003.924.004.103.984.004.084.1083.964.694.834.624.604.794.774.754.484.424.424.504.544.464.464.854.854.654.694.624.694.694.71102.077 REKAP DATA KUISIONER HASIL SURVEY X2 Performance X3 Performance X4 Performance X5 Performance Respoden X1 Performance Y5 Importance Total Import Y1 ImportanceTotal Perform Y2 Importance Y3 Importance Y4 Importance GRAPH /SCATTERPLOT(BIVAR)=Performance WITH Importance BY Factor (IDENTIFY) /MISSING=LISTWISE /TITLE='Diagram Cartesius'. Graph Notes Output Created 08-FEB-2024 12:00:01 Comments Input Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 22 Syntax GRAPH /SCATTERPLOT(BIVAR)=Performance WITH Importance BY Factor (IDENTIFY) /MISSING=LISTWISE /TITLE='Diagram Cartesius'. Resources Processor Time 00:00:00,09 Elapsed Time 00:00:00,11 CORRELATIONS /VARIABLES=P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 TotalPerform /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Notes Output Created 08-FEB-2024 12:06:58 Comments Input Data C:\Users\Documents\Hitung Statistik Thesis Om Feb OKE.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 52 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 TotalPerform /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,00 Elapsed Time 00:00:00,04 Correlations P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P1 Pearson Correlatio n 1 -.07 6 -.10 5 -.00 5 .774 ** .645 ** .700 ** -.04 5 .081 -.04 5 .090 .038 .059 .041 .721 ** Sig. (2-tailed) .593 .458 .975 .000 .000 .000 .750 .570 .754 .527 .788 .679 .775 .000 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P2 Pearson Correlatio n -.07 6 1 .315 * .610 ** .024 -.02 4 -.04 2 .646 ** .558 ** .796 ** .641 ** .508 ** .655 ** .632 ** .000 Sig. (2-tailed) .593 .023 .000 .863 .868 .769 .000 .000 .000 .000 .000 .000 .000 1.00 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P3 Pearson Correlatio n -.10 5 .315 * 1 .254 -.07 6 .035 .008 .359 ** .582 ** .457 ** .513 ** .660 ** .490 ** .621 ** .026 Sig. (2-tailed) .458 .023 .069 .591 .803 .958 .009 .000 .001 .000 .000 .000 .000 .855 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P4 Pearson Correlatio n -.00 5 .610 ** .254 1 -.00 8 -.00 2 -.01 3 .586 ** .604 ** .650 ** .683 ** .561 ** .632 ** .605 ** .000 Sig. (2-tailed) .975 .000 .069 .955 .987 .925 .000 .000 .000 .000 .000 .000 .000 1.00 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P5 Pearson Correlatio n .774 ** .024 -.07 6 -.00 8 1 .753 ** .722 ** -.03 1 .143 -.10 5 .107 -.00 2 .082 -.00 6 .728 ** Sig. (2-tailed) .000 .863 .591 .955 .000 .000 .829 .311 .459 .449 .990 .564 .966 .000 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P6 Pearson Correlatio n .645 ** -.02 4 .035 -.00 2 .753 ** 1 .555 ** .026 .201 -.02 3 .028 .022 .015 -.00 3 .575 ** Sig. (2-tailed) .000 .868 .803 .987 .000 .000 .856 .153 .871 .843 .875 .918 .982 .000 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P7 Pearson Correlatio n .700 ** -.04 2 .008 -.01 3 .722 ** .555 ** 1 .015 .152 -.04 1 .162 .046 .144 .028 .983 ** Sig. (2-tailed) .000 .769 .958 .925 .000 .000 .914 .283 .775 .251 .745 .308 .846 .000 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P8 Pearson Correlatio n -.04 5 .646 ** .359 ** .586 ** -.03 1 .026 .015 1 .739 ** .628 ** .678 ** .517 ** .665 ** .589 ** .047 Sig. (2-tailed) .750 .000 .009 .000 .829 .856 .914 .000 .000 .000 .000 .000 .000 .741 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P9 Pearson Correlatio n .081 .558 ** .582 ** .604 ** .143 .201 .152 .739 ** 1 .650 ** .705 ** .709 ** .784 ** .711 ** .208 Sig. (2-tailed) .570 .000 .000 .000 .311 .153 .283 .000 .000 .000 .000 .000 .000 .139 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P10 Pearson Correlatio n -.04 5 .796 ** .457 ** .650 ** -.10 5 -.02 3 -.04 1 .628 ** .650 ** 1 .737 ** .622 ** .760 ** .671 ** -.02 4 Sig. (2-tailed) .754 .000 .001 .000 .459 .871 .775 .000 .000 .000 .000 .000 .000 .864 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P11 Pearson Correlatio n .090 .641 ** .513 ** .683 ** .107 .028 .162 .678 ** .705 ** .737 ** 1 .691 ** .748 ** .688 ** .171 Sig. (2-tailed) .527 .000 .000 .000 .449 .843 .251 .000 .000 .000 .000 .000 .000 .226 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P12 Pearson Correlatio n .038 .508 ** .660 ** .561 ** -.00 2 .022 .046 .517 ** .709 ** .622 ** .691 ** 1 .776 ** .632 ** .066 Sig. (2-tailed) .788 .000 .000 .000 .990 .875 .745 .000 .000 .000 .000 .000 .000 .643 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P13 Pearson Correlatio n .059 .655 ** .490 ** .632 ** .082 .015 .144 .665 ** .784 ** .760 ** .748 ** .776 ** 1 .721 ** .171 Sig. (2-tailed) .679 .000 .000 .000 .564 .918 .308 .000 .000 .000 .000 .000 .000 .226 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P14 Pearson Correlatio n .041 .632 ** .621 ** .605 ** -.00 6 -.00 3 .028 .589 ** .711 ** .671 ** .688 ** .632 ** .721 ** 1 .049 Sig. (2-tailed) .775 .000 .000 .000 .966 .982 .846 .000 .000 .000 .000 .000 .000 .729 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P15 Pearson Correlatio n .721 ** .000 .026 .000 .728 ** .575 ** .983 ** .047 .208 -.02 4 .171 .066 .171 .049 1 Sig. (2-tailed) .000 1.00 0 .855 1.00 0 .000 .000 .000 .741 .139 .864 .226 .643 .226 .729 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P16 Pearson Correlatio n .219 .641 ** .398 ** .544 ** .186 .170 .151 .630 ** .667 ** .654 ** .709 ** .562 ** .711 ** .724 ** .192 Sig. (2-tailed) .119 .000 .003 .000 .188 .227 .284 .000 .000 .000 .000 .000 .000 .000 .173 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P17 Pearson Correlatio n .213 .551 ** .414 ** .630 ** .135 .101 .217 .633 ** .680 ** .684 ** .807 ** .618 ** .732 ** .722 ** .230 Sig. (2-tailed) .129 .000 .002 .000 .339 .478 .123 .000 .000 .000 .000 .000 .000 .000 .101 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P18 Pearson Correlatio n -.01 7 .570 ** .442 ** .682 ** .019 .111 .092 .636 ** .777 ** .744 ** .733 ** .696 ** .754 ** .672 ** .093 Sig. (2-tailed) .904 .000 .001 .000 .894 .431 .517 .000 .000 .000 .000 .000 .000 .000 .512 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P19 Pearson Correlatio n .079 .680 ** .539 ** .669 ** .140 .063 .106 .670 ** .800 ** .792 ** .793 ** .810 ** .880 ** .747 ** .113 Sig. (2-tailed) .579 .000 .000 .000 .323 .658 .456 .000 .000 .000 .000 .000 .000 .000 .426 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P20 Pearson Correlatio n .080 .642 ** .501 ** .655 ** .071 .132 .105 .703 ** .816 ** .753 ** .704 ** .774 ** .913 ** .735 ** .134 Sig. (2-tailed) .574 .000 .000 .000 .618 .352 .459 .000 .000 .000 .000 .000 .000 .000 .345 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P21 Pearson Correlatio n .033 .552 ** .517 ** .682 ** -.00 9 .015 .104 .665 ** .831 ** .735 ** .748 ** .754 ** .847 ** .721 ** .128 Sig. (2-tailed) .815 .000 .000 .000 .951 .918 .464 .000 .000 .000 .000 .000 .000 .000 .365 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 P22 Pearson Correlatio n .035 .671 ** .561 ** .621 ** .107 .164 .124 .722 ** .871 ** .775 ** .766 ** .745 ** .859 ** .712 ** .169 Sig. (2-tailed) .806 .000 .000 .000 .451 .245 .383 .000 .000 .000 .000 .000 .000 .000 .230 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 TotalP erform Pearson Correlatio n .312 * .682 ** .552 ** .690 ** .332 * .318 * .372 ** .720 ** .870 ** .769 ** .840 ** .771 ** .877 ** .778 ** .402 ** Sig. (2-tailed) .024 .000 .000 .000 .016 .022 .007 .000 .000 .000 .000 .000 .000 .000 .003 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 Correlations P16 P17 P18 P19 P20 P21 P22 TotalPerfor m P1 Pearson Correlation .219 .213 -.017 .079 .080 .033 .035 .312 * Sig. (2-tailed) .119 .129 .904 .579 .574 .815 .806 .024 N 52 52 52 52 52 52 52 52 P2 Pearson Correlation .641 ** .551 ** .570 ** .680 ** .642 ** .552 ** .671 ** .682 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P3 Pearson Correlation .398 ** .414 ** .442 ** .539 ** .501 ** .517 ** .561 ** .552 ** Sig. (2-tailed) .003 .002 .001 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P4 Pearson Correlation .544 ** .630 ** .682 ** .669 ** .655 ** .682 ** .621 ** .690 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P5 Pearson Correlation .186 .135 .019 .140 .071 -.009 .107 .332 * Sig. (2-tailed) .188 .339 .894 .323 .618 .951 .451 .016 N 52 52 52 52 52 52 52 52 P6 Pearson Correlation .170 .101 .111 .063 .132 .015 .164 .318 * Sig. (2-tailed) .227 .478 .431 .658 .352 .918 .245 .022 N 52 52 52 52 52 52 52 52 P7 Pearson Correlation .151 .217 .092 .106 .105 .104 .124 .372 ** Sig. (2-tailed) .284 .123 .517 .456 .459 .464 .383 .007 N 52 52 52 52 52 52 52 52 P8 Pearson Correlation .630 ** .633 ** .636 ** .670 ** .703 ** .665 ** .722 ** .720 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P9 Pearson Correlation .667 ** .680 ** .777 ** .800 ** .816 ** .831 ** .871 ** .870 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P10 Pearson Correlation .654 ** .684 ** .744 ** .792 ** .753 ** .735 ** .775 ** .769 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P11 Pearson Correlation .709 ** .807 ** .733 ** .793 ** .704 ** .748 ** .766 ** .840 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P12 Pearson Correlation .562 ** .618 ** .696 ** .810 ** .774 ** .754 ** .745 ** .771 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P13 Pearson Correlation .711 ** .732 ** .754 ** .880 ** .913 ** .847 ** .859 ** .877 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P14 Pearson Correlation .724 ** .722 ** .672 ** .747 ** .735 ** .721 ** .712 ** .778 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P15 Pearson Correlation .192 .230 .093 .113 .134 .128 .169 .402 ** Sig. (2-tailed) .173 .101 .512 .426 .345 .365 .230 .003 N 52 52 52 52 52 52 52 52 P16 Pearson Correlation 1 .705 ** .563 ** .710 ** .733 ** .683 ** .679 ** .795 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P17 Pearson Correlation .705 ** 1 .684 ** .718 ** .655 ** .732 ** .700 ** .819 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P18 Pearson Correlation .563 ** .684 ** 1 .783 ** .771 ** .801 ** .792 ** .811 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P19 Pearson Correlation .710 ** .718 ** .783 ** 1 .868 ** .787 ** .827 ** .886 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P20 Pearson Correlation .733 ** .655 ** .771 ** .868 ** 1 .822 ** .837 ** .877 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P21 Pearson Correlation .683 ** .732 ** .801 ** .787 ** .822 ** 1 .859 ** .851 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 P22 Pearson Correlation .679 ** .700 ** .792 ** .827 ** .837 ** .859 ** 1 .891 ** Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 TotalPerfor m Pearson Correlation .795 ** .819 ** .811 ** .886 ** .877 ** .851 ** .891 ** 1 Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 N 52 52 52 52 52 52 52 52 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). CORRELATIONS /VARIABLES=I1 I2 I3 I4 I5 I6 I7 I8 I9 I10 I11 I12 I13 I14 I15 I16 I17 I18 I19 I20 I21 I22 TotalImport /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Notes Output Created 08-FEB-2024 12:07:50 Comments Input Data C:\Users\Documents\Hitung Statistik Thesis Om Feb OKE.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 52 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=I1 I2 I3 I4 I5 I6 I7 I8 I9 I10 I11 I12 I13 I14 I15 I16 I17 I18 I19 I20 I21 I22 TotalImport /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Resources Processor Time 00:00:00,02 Elapsed Time 00:00:00,02 Correlations I1 I2 I3 I4 I5 I6 I7 I8 I9 I10 I11 I12 I13 I14 I15 I16 I1 Pearson Correlatio n 1 .13 6 .07 2 .13 1 .06 3 .12 9 .19 2 .11 1 .06 5 .23 4 .08 3 .05 1 .19 9 .19 9 .17 8 .17 8 Sig. (2-tailed) .33 8 .61 0 .35 6 .65 8 .36 1 .17 2 .43 3 .64 8 .09 6 .55 7 .71 7 .15 7 .15 7 .20 8 .20 8 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I2 Pearson Correlatio n .13 6 1 .57 9 ** .24 5 .38 5 ** .11 1 .08 8 .18 6 .28 9 * .28 9 * .25 4 .29 0 * .22 0 .22 0 .22 8 .22 8 Sig. (2-tailed) .33 8 .00 0 .08 0 .00 5 .43 2 .53 5 .18 6 .03 8 .03 8 .06 9 .03 7 .11 8 .11 8 .10 5 .10 5 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I3 Pearson Correlatio n .07 2 .57 9 ** 1 .71 9 ** .46 2 ** .13 0 .45 6 ** .10 1 .19 7 .27 7 * .23 7 .22 0 .17 7 .17 7 .32 0 * -.00 8 Sig. (2-tailed) .61 0 .00 0 .00 0 .00 1 .35 9 .00 1 .47 8 .16 2 .04 7 .09 0 .11 8 .21 0 .21 0 .02 1 .95 3 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I4 Pearson Correlatio n .13 1 .24 5 .71 9 ** 1 .62 9 ** .38 6 ** .52 0 ** .19 1 .22 9 .22 9 .19 6 .18 1 .13 3 .13 3 .30 1 * -.02 5 Sig. (2-tailed) .35 6 .08 0 .00 0 .00 0 .00 5 .00 0 .17 5 .10 3 .10 3 .16 4 .19 8 .34 7 .34 7 .03 0 .86 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I5 Pearson Correlatio n .06 3 .38 5 ** .46 2 ** .62 9 ** 1 .27 5 * .24 5 .02 1 .25 3 .15 8 .23 5 .08 7 .00 7 .00 7 .17 1 .17 1 Sig. (2-tailed) .65 8 .00 5 .00 1 .00 0 .04 8 .08 0 .88 0 .07 0 .26 4 .09 3 .53 9 .95 9 .95 9 .22 6 .22 6 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I6 Pearson Correlatio n .12 9 .11 1 .13 0 .38 6 ** .27 5 * 1 .10 5 .27 1 .19 2 .09 9 .09 1 .31 7 * .23 2 .23 2 .14 6 .27 2 Sig. (2-tailed) .36 1 .43 2 .35 9 .00 5 .04 8 .45 7 .05 2 .17 3 .48 3 .52 0 .02 2 .09 7 .09 7 .30 2 .05 1 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I7 Pearson Correlatio n .19 2 .08 8 .45 6 ** .52 0 ** .24 5 .10 5 1 .29 7 * .04 5 .04 5 .13 3 .08 9 .17 8 .17 8 .24 6 .12 3 Sig. (2-tailed) .17 2 .53 5 .00 1 .00 0 .08 0 .45 7 .03 2 .75 2 .75 2 .34 6 .53 0 .20 6 .20 6 .07 9 .38 5 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I8 Pearson Correlatio n .11 1 .18 6 .10 1 .19 1 .02 1 .27 1 .29 7 * 1 .39 4 ** .39 4 ** .33 3 * .33 6 * .39 2 ** .39 2 ** .15 5 .07 1 Sig. (2-tailed) .43 3 .18 6 .47 8 .17 5 .88 0 .05 2 .03 2 .00 4 .00 4 .01 6 .01 5 .00 4 .00 4 .27 3 .61 7 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I9 Pearson Correlatio n .06 5 .28 9 * .19 7 .22 9 .25 3 .19 2 .04 5 .39 4 ** 1 .84 2 ** .77 8 ** .63 7 ** .45 6 ** .45 6 ** .25 7 -.06 6 Sig. (2-tailed) .64 8 .03 8 .16 2 .10 3 .07 0 .17 3 .75 2 .00 4 .00 0 .00 0 .00 0 .00 1 .00 1 .06 6 .64 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I10 Pearson Correlatio n .23 4 .28 9 * .27 7 * .22 9 .15 8 .09 9 .04 5 .39 4 ** .84 2 ** 1 .85 6 ** .63 7 ** .45 6 ** .45 6 ** .25 7 .04 1 Sig. (2-tailed) .09 6 .03 8 .04 7 .10 3 .26 4 .48 3 .75 2 .00 4 .00 0 .00 0 .00 0 .00 1 .00 1 .06 6 .77 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I11 Pearson Correlatio n .08 3 .25 4 .23 7 .19 6 .23 5 .09 1 .13 3 .33 3 * .77 8 ** .85 6 ** 1 .61 7 ** .46 3 ** .46 3 ** .21 3 .00 0 Sig. (2-tailed) .55 7 .06 9 .09 0 .16 4 .09 3 .52 0 .34 6 .01 6 .00 0 .00 0 .00 0 .00 1 .00 1 .12 9 1.0 00 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I12 Pearson Correlatio n .05 1 .29 0 * .22 0 .18 1 .08 7 .31 7 * .08 9 .33 6 * .63 7 ** .63 7 ** .61 7 ** 1 .78 0 ** .78 0 ** .24 7 .14 0 Sig. (2-tailed) .71 7 .03 7 .11 8 .19 8 .53 9 .02 2 .53 0 .01 5 .00 0 .00 0 .00 0 .00 0 .00 0 .07 8 .32 3 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I13 Pearson Correlatio n .19 9 .22 0 .17 7 .13 3 .00 7 .23 2 .17 8 .39 2 ** .45 6 ** .45 6 ** .46 3 ** .78 0 ** 1 1.0 00 ** .39 5 ** .18 1 Sig. (2-tailed) .15 7 .11 8 .21 0 .34 7 .95 9 .09 7 .20 6 .00 4 .00 1 .00 1 .00 1 .00 0 .00 0 .00 4 .19 9 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I14 Pearson Correlatio n .19 9 .22 0 .17 7 .13 3 .00 7 .23 2 .17 8 .39 2 ** .45 6 ** .45 6 ** .46 3 ** .78 0 ** 1.0 00 ** 1 .39 5 ** .18 1 Sig. (2-tailed) .15 7 .11 8 .21 0 .34 7 .95 9 .09 7 .20 6 .00 4 .00 1 .00 1 .00 1 .00 0 .00 0 .00 4 .19 9 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I15 Pearson Correlatio n .17 8 .22 8 .32 0 * .30 1 * .17 1 .14 6 .24 6 .15 5 .25 7 .25 7 .21 3 .24 7 .39 5 ** .39 5 ** 1 .11 4 Sig. (2-tailed) .20 8 .10 5 .02 1 .03 0 .22 6 .30 2 .07 9 .27 3 .06 6 .06 6 .12 9 .07 8 .00 4 .00 4 .42 2 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I16 Pearson Correlatio n .17 8 .22 8 -.00 8 -.02 5 .17 1 .27 2 .12 3 .07 1 -.06 6 .04 1 .00 0 .14 0 .18 1 .18 1 .11 4 1 Sig. (2-tailed) .20 8 .10 5 .95 3 .86 0 .22 6 .05 1 .38 5 .61 7 .64 0 .77 0 1.0 00 .32 3 .19 9 .19 9 .42 2 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I17 Pearson Correlatio n .30 3 * .20 1 .08 9 .06 0 .21 7 -.01 5 .23 3 .10 5 .13 2 .13 2 .24 3 .13 7 .34 9 * .34 9 * .13 8 .13 8 Sig. (2-tailed) .02 9 .15 2 .52 8 .67 2 .12 2 .91 7 .09 6 .45 8 .35 0 .35 0 .08 3 .33 2 .01 1 .01 1 .33 0 .33 0 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I18 Pearson Correlatio n .45 8 ** .24 6 .15 8 .13 1 .06 3 .22 8 .00 0 .17 7 .23 4 .40 2 ** .25 0 .38 6 ** .36 6 ** .36 6 ** .17 8 .29 3 * Sig. (2-tailed) .00 1 .07 9 .26 3 .35 6 .65 8 .10 4 1.0 00 .21 0 .09 6 .00 3 .07 4 .00 5 .00 8 .00 8 .20 8 .03 5 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I19 Pearson Correlatio n .24 4 .37 0 ** .43 1 ** .31 6 * .36 5 ** .22 4 .18 3 .10 1 .35 7 ** .27 7 * .23 7 .29 9 * .25 6 .25 6 .21 1 .10 1 Sig. (2-tailed) .08 2 .00 7 .00 1 .02 2 .00 8 .11 1 .19 5 .47 8 .00 9 .04 7 .09 0 .03 1 .06 7 .06 7 .13 4 .47 6 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I20 Pearson Correlatio n .27 8 * .35 6 ** .15 8 .13 1 .26 7 .32 7 * .00 0 .04 5 .40 2 ** .23 4 .16 7 .46 9 ** .36 6 ** .36 6 ** .17 8 .17 8 Sig. (2-tailed) .04 6 .01 0 .26 3 .35 6 .05 6 .01 8 1.0 00 .74 9 .00 3 .09 6 .23 8 .00 0 .00 8 .00 8 .20 8 .20 8 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I21 Pearson Correlatio n .27 8 * .35 6 ** .32 9 * .30 0 * .36 9 ** .42 6 ** .19 2 .04 5 .40 2 ** .23 4 .16 7 .30 2 * .19 9 .19 9 .06 2 .17 8 Sig. (2-tailed) .04 6 .01 0 .01 7 .03 0 .00 7 .00 2 .17 2 .74 9 .00 3 .09 6 .23 8 .02 9 .15 7 .15 7 .66 1 .20 8 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 I22 Pearson Correlatio n .21 9 .38 2 ** .36 9 ** .34 1 * .39 8 ** .25 6 .22 1 .14 8 .37 3 ** .20 2 .12 7 .17 7 .16 4 .16 4 .19 9 .19 9 Sig. (2-tailed) .11 8 .00 5 .00 7 .01 3 .00 3 .06 7 .11 6 .29 6 .00 6 .15 2 .36 8 .21 0 .24 6 .24 6 .15 7 .15 7 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 TotalI mpor t Pearson Correlatio n .39 6 ** .54 2 ** .54 7 ** .53 6 ** .47 0 ** .44 8 ** .39 7 ** .47 1 ** .68 4 ** .67 0 ** .61 8 ** .70 2 ** .68 3 ** .68 3 ** .45 3 ** .28 2 * Sig. (2-tailed) .00 4 .00 0 .00 0 .00 0 .00 0 .00 1 .00 4 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 1 .04 3 N 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 Correlations I17 I18 I19 I20 I21 I22 TotalImport I1 Pearson Correlation .303 * .458 ** .244 .278 * .278 * .219 .396 ** Sig. (2-tailed) .029 .001 .082 .046 .046 .118 .004 N 52 52 52 52 52 52 52 I2 Pearson Correlation .201 .246 .370 ** .356 ** .356 ** .382 ** .542 ** Sig. (2-tailed) .152 .079 .007 .010 .010 .005 .000 N 52 52 52 52 52 52 52 I3 Pearson Correlation .089 .158 .431 ** .158 .329 * .369 ** .547 ** Sig. (2-tailed) .528 .263 .001 .263 .017 .007 .000 N 52 52 52 52 52 52 52 I4 Pearson Correlation .060 .131 .316 * .131 .300 * .341 * .536 ** Sig. (2-tailed) .672 .356 .022 .356 .030 .013 .000 N 52 52 52 52 52 52 52 I5 Pearson Correlation .217 .063 .365 ** .267 .369 ** .398 ** .470 ** Sig. (2-tailed) .122 .658 .008 .056 .007 .003 .000 N 52 52 52 52 52 52 52 I6 Pearson Correlation -.015 .228 .224 .327 * .426 ** .256 .448 ** Sig. (2-tailed) .917 .104 .111 .018 .002 .067 .001 N 52 52 52 52 52 52 52 I7 Pearson Correlation .233 .000 .183 .000 .192 .221 .397 ** Sig. (2-tailed) .096 1.000 .195 1.000 .172 .116 .004 N 52 52 52 52 52 52 52 I8 Pearson Correlation .105 .177 .101 .045 .045 .148 .471 ** Sig. (2-tailed) .458 .210 .478 .749 .749 .296 .000 N 52 52 52 52 52 52 52 I9 Pearson Correlation .132 .234 .357 ** .402 ** .402 ** .373 ** .684 ** Sig. (2-tailed) .350 .096 .009 .003 .003 .006 .000 N 52 52 52 52 52 52 52 I10 Pearson Correlation .132 .402 ** .277 * .234 .234 .202 .670 ** Sig. (2-tailed) .350 .003 .047 .096 .096 .152 .000 N 52 52 52 52 52 52 52 I11 Pearson Correlation .243 .250 .237 .167 .167 .127 .618 ** Sig. (2-tailed) .083 .074 .090 .238 .238 .368 .000 N 52 52 52 52 52 52 52 I12 Pearson Correlation .137 .386 ** .299 * .469 ** .302 * .177 .702 ** Sig. (2-tailed) .332 .005 .031 .000 .029 .210 .000 N 52 52 52 52 52 52 52 I13 Pearson Correlation .349 * .366 ** .256 .366 ** .199 .164 .683 ** Sig. (2-tailed) .011 .008 .067 .008 .157 .246 .000 N 52 52 52 52 52 52 52 I14 Pearson Correlation .349 * .366 ** .256 .366 ** .199 .164 .683 ** Sig. (2-tailed) .011 .008 .067 .008 .157 .246 .000 N 52 52 52 52 52 52 52 I15 Pearson Correlation .138 .178 .211 .178 .062 .199 .453 ** Sig. (2-tailed) .330 .208 .134 .208 .661 .157 .001 N 52 52 52 52 52 52 52 I16 Pearson Correlation .138 .293 * .101 .178 .178 .199 .282 * Sig.