Hasil Konversi Pengolahan Data

Col Category Freq Prop Cum Z Density Scale 5 10 0,303 1,000 0,000 3,952 12 3 1 0,030 0,030 -1,876 0,069 1,000 4 25 0,758 0,788 0,799 0,290 2,972 5 7 0,212 1,000 0,000 4,631 13 3 2 0,061 0,061 -1,550 0,120 1,000 4 20 0,606 0,667 0,431 0,364 2,579 5 11 0,333 1,000 0,000 4,072 14 3 6 0,182 0,182 -0,908 0,264 1,000 4 13 0,394 0,576 0,191 0,392 2,128 5 14 0,424 1,000 0,000 3,376 15 3 8 0,242 0,242 -0,699 0,313 1,000 4 16 0,485 0,727 0,605 0,332 2,249 5 9 0,273 1,000 0,000 3,508 16 3 4 0,121 0,121 -1,169 0,201 1,000 4 24 0,727 0,848 1,030 0,235 2,616 5 5 0,152 1,000 0,000 4,211 17 3 7 0,212 0,212 -0,799 0,290 1,000 4 20 0,606 0,818 0,908 0,264 2,409 5 6 0,182 1,000 0,000 3,819 18 3 6 0,182 0,182 -0,908 0,264 1,000 4 21 0,636 0,818 0,908 0,264 2,452 5 6 0,182 1,000 0,000 3,905 19 3 13 0,394 0,394 -0,269 0,385 1,000 4 13 0,394 0,788 0,799 0,290 2,217 5 7 0,212 1,000 0,000 3,343 20 3 10 0,303 0,303 -0,516 0,349 1,000 4 15 0,455 0,758 0,699 0,313 2,233 5 8 0,242 1,000 0,000 3,442 21 3 10 0,303 0,303 -0,516 0,349 1,000 4 17 0,515 0,818 0,908 0,264 2,318 5 6 0,182 1,000 0,000 3,605 22 3 16 0,485 0,485 -0,038 0,399 1,000 4 13 0,394 0,879 1,169 0,201 2,323 5 4 0,121 1,000 0,000 3,484 23 3 10 0,303 0,303 -0,516 0,349 1,000 4 16 0,485 0,788 0,799 0,290 2,275 5 7 0,212 1,000 0,000 3,519 24 3 6 0,182 0,182 -0,908 0,264 1,000 4 19 0,576 0,758 0,699 0,313 2,368 5 8 0,242 1,000 0,000 3,742 25 3 2 0,061 0,061 -1,550 0,120 1,000 4 20 0,606 0,667 0,431 0,364 2,579 5 11 0,333 1,000 0,000 4,072 26 3 16 0,485 0,485 -0,038 0,399 1,000 4 16 0,485 0,970 1,876 0,069 2,503 5 1 0,030 1,000 0,000 4,086 27 3 6 0,182 0,182 -0,908 0,264 1,000 4 18 0,545 0,727 0,605 0,332 2,327 5 9 0,273 1,000 0,000 3,671 28 3 16 0,485 0,485 -0,038 0,399 1,000 4 11 0,333 0,818 0,908 0,264 2,226 5 6 0,182 1,000 0,000 3,275 29 3 4 0,121 0,121 -1,169 0,201 1,000 4 22 0,667 0,788 0,799 0,290 2,529 5 7 0,212 1,000 0,000 4,029 30 3 15 0,455 0,455 -0,114 0,396 1,000 4 14 0,424 0,879 1,169 0,201 2,331 5 4 0,121 1,000 0,000 3,534 31 3 16 0,485 0,485 -0,038 0,399 1,000 4 14 0,424 0,909 1,335 0,164 2,376 5 3 0,091 1,000 0,000 3,622 32 3 18 0,545 0,545 0,114 0,396 1,000 4 12 0,364 0,909 1,335 0,164 2,367 5 3 0,091 1,000 0,000 3,526 33 3 10 0,303 0,303 -0,516 0,349 1,000 Col Category Freq Prop Cum Z Density Scale 4 20 0,606 0,909 1,335 0,164 2,459 5 3 0,091 1,000 0,000 3,952 34 3 6 0,182 0,182 -0,908 0,264 1,000 4 23 0,697 0,879 1,169 0,201 2,542 5 4 0,121 1,000 0,000 4,114 35 3 20 0,606 0,606 0,269 0,385 1,000 4 11 0,333 0,939 1,550 0,120 2,429 5 2 0,061 1,000 0,000 3,616 36 3 6 0,182 0,182 -0,908 0,264 1,000 4 22 0,667 0,848 1,030 0,235 2,496 5 5 0,152 1,000 8,210 0,000 4,001 37 3 1 0,030 0,030 -1,876 0,069 1,000 4 15 0,455 0,485 -0,038 0,399 2,538 5 17 0,515 1,000 0,000 4,038 38 3 9 0,273 0,273 -0,605 0,332 1,000 4 20 0,606 0,879 1,169 0,201 2,434 5 4 0,121 1,000 0,000 3,881 39 3 15 0,455 0,455 -0,114 0,396 1,000 4 12 0,364 0,818 0,908 0,264 2,236 5 6 0,182 1,000 0,000 3,324 40 3 18 0,545 0,545 0,114 0,396 1,000 4 12 0,364 0,909 1,335 0,164 2,367 5 3 0,091 1,000 0,000 3,526 41 3 18 0,545 0,545 0,114 0,396 1,000 4 13 0,394 0,939 1,550 0,120 2,428 5 2 0,061 1,000 0,000 3,708 42 3 6 0,182 0,182 -0,908 0,264 1,000 4 20 0,606 0,788 0,799 0,290 2,410 5 7 0,212 1,000 0,000 3,819 43 3 7 0,212 0,212 -0,799 0,290 1,000 4 15 0,455 0,667 0,431 0,364 2,205 5 11 0,333 1,000 0,000 3,457 44 3 17 0,515 0,515 0,038 0,399 1,000 4 15 0,455 0,970 1,876 0,069 2,500 5 1 0,030 1,000 0,000 4,038 45 3 5 0,152 0,152 -1,030 0,235 1,000 4 21 0,636 0,788 0,799 0,290 2,462 5 7 0,212 1,000 0,000 3,916 46 3 7 0,212 0,212 -0,799 0,290 1,000 4 18 0,545 0,758 0,699 0,313 2,325 5 8 0,242 1,000 0,000 3,656 47 3 5 0,152 0,152 -1,030 0,235 1,000 4 19 0,576 0,727 0,605 0,332 2,380 5 9 0,273 1,000 0,000 3,768 48 3 14 0,424 0,424 -0,191 0,392 1,000 4 17 0,515 0,939 1,550 0,120 2,451 5 2 0,061 1,000 0,000 3,904 49 3 10 0,303 0,303 -0,516 0,349 1,000 4 18 0,545 0,848 1,030 0,235 2,363 5 5 0,152 1,000 8,210 0,000 3,702 50 3 11 0,333 0,333 -0,431 0,364 1,000 4 19 0,576 0,909 1,335 0,164 2,438 5 3 0,091 1,000 0,000 3,890 51 3 13 0,394 0,394 -0,269 0,385 1,000 4 16 0,485 0,879 1,169 0,201 2,355 5 4 0,121 1,000 0,000 3,639 52 3 18 0,545 0,545 0,114 0,396 1,000 4 9 0,273 0,818 0,908 0,264 2,212 5 6 0,182 1,000 0,000 3,179 53 3 8 0,242 0,242 -0,699 0,313 1,000 4 22 0,667 0,909 1,335 0,164 2,513 5 3 0,091 1,000 0,000 4,089 54 3 10 0,303 0,303 -0,516 0,349 1,000 4 19 0,576 0,879 1,169 0,201 2,409 5 4 0,121 1,000 0,000 3,815 Col Category Freq Prop Cum Z Density Scale 55 3 12 0,364 0,364 -0,349 0,375 1,000 4 17 0,515 0,879 1,169 0,201 2,370 5 4 0,121 1,000 0,000 3,694 56 3 7 0,212 0,212 -0,799 0,290 1,000 4 20 0,606 0,818 0,908 0,264 2,409 5 6 0,182 1,000 0,000 3,819 57 3 8 0,242 0,242 -0,699 0,313 1,000 4 21 0,636 0,879 1,169 0,201 2,464 5 4 0,121 1,000 0,000 3,951 58 3 20 0,606 0,606 0,269 0,385 1,000 4 9 0,273 0,879 1,169 0,201 2,307 5 4 0,121 1,000 0,000 3,297 59 3 21 0,636 0,636 0,349 0,375 1,000 4 11 0,333 0,970 1,876 0,069 2,510 5 1 0,030 1,000 0,000 3,854 60 3 17 0,515 0,515 0,038 0,399 1,000 4 12 0,364 0,879 1,169 0,201 2,316 5 4 0,121 1,000 0,000 3,436 Data dibawah ini merupakan hasil uji MSI rekapitulasi jawaban responden terhadap kuisioner beban kerja dengan metode NASA-TLX. Skala interval pada kuisioner beban kerja dikonversi menjadi skala interval dengan hasil pada tabel dibawah ini: Tabel 4.21. Hasil Konversi Uji MSI Beban Kerja Resp X 1 1 2 3,5340236 3 2,2026726 4 2,2026726 5 1 6 3,5340236 7 1 8 3,5340236 9 2,2026726 10 2,2026726 11 3,5340236 12 3,5340236 13 3,5340236 14 3,5340236 15 3,5340236 16 2,2026726 17 3,5340236 18 3,5340236 19 2,2026726 20 1 21 3,5340236 22 3,5340236 23 3,5340236 24 2,2026726 25 3,5340236 26 3,5340236 27 2,2026726 28 2,2026726 29 2,2026726 30 2,2026726 31 2,2026726 32 2,2026726 33 2,2026726 Data dibawah ini merupakan hasil uji MSI rekapitulasi jawaban responden terhadap kuisioner kepuasan kerja. Skala ordinal pada kuisioner kepuasan kerja dikonversi menjadi skala interval dengan hasil pada tabel dibawah ini: Tabel 4.22. Hasil Konversi Uji MSI Kepuasan Kerja Resp 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 Total Rata-rata 1 2,405 1,000 1,000 2,453 1,000 2,459 2,752 4,297 1,000 1,000 3,952 2,972 2,579 2,128 1,000 1,000 1,000 2,452 2,217 2,233 2,318 2,323 2,275 2,368 2,579 2,503 1,000 1,000 1,000 1,000 1,000 1,000 61,267 1,9145855 2 3,815 2,434 3,371 2,453 1,000 2,459 2,752 2,758 2,526 2,342 2,493 2,972 2,579 1,000 2,249 2,616 2,409 2,452 2,217 1,000 2,318 1,000 2,275 2,368 2,579 1,000 2,327 1,000 2,529 2,331 1,000 2,367 70,994 2,2185538 3 2,405 1,000 2,273 2,453 2,513 1,000 2,752 2,758 1,000 1,000 2,493 2,972 2,579 1,000 2,249 2,616 1,000 1,000 1,000 1,000 2,318 1,000 1,000 2,368 2,579 1,000 2,327 1,000 2,529 2,331 2,376 1,000 58,893 1,8404129 4 3,815 2,434 2,273 3,916 2,513 1,000 2,752 4,297 2,526 3,585 3,952 2,972 2,579 3,376 3,508 4,211 2,409 3,905 3,343 3,442 3,605 3,484 3,519 3,742 4,072 2,503 3,671 1,000 2,529 3,534 2,376 2,367 99,210 3,1003036 5 2,405 2,434 1,000 1,000 1,000 2,459 2,752 2,758 2,526 1,000 2,493 2,972 2,579 3,376 2,249 2,616 2,409 2,452 1,000 2,233 1,000 1,000 2,275 2,368 2,579 2,503 2,327 2,226 2,529 2,331 2,376 1,000 68,230 2,1321784 6 2,405 2,434 1,000 2,453 2,513 2,459 2,752 2,758 2,526 2,342 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 2,217 2,233 1,000 2,323 2,275 2,368 2,579 2,503 2,327 2,226 2,529 1,000 2,376 1,000 72,499 2,2656033 7 2,405 1,000 1,000 1,000 2,513 2,459 2,752 2,758 1,000 1,000 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 1,000 2,233 2,318 1,000 1,000 1,000 2,579 2,503 2,327 2,226 2,529 1,000 1,000 1,000 61,502 1,9219435 8 2,405 2,434 1,000 1,000 1,000 2,459 2,752 2,758 1,000 2,342 3,952 4,631 4,072 3,376 1,000 1,000 2,409 2,452 1,000 3,442 1,000 1,000 1,000 2,368 2,579 2,503 1,000 1,000 2,529 1,000 1,000 2,367 65,831 2,0572093 9 2,405 2,434 2,273 2,453 2,513 2,459 2,752 2,758 2,526 2,342 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 2,217 2,233 2,318 2,323 2,275 3,742 4,072 1,000 3,671 3,275 4,029 3,534 3,622 3,526 86,651 2,7078472 10 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 32,000 1 11 1,000 3,881 3,371 3,916 4,134 3,952 4,462 4,297 4,241 3,585 3,952 4,631 4,072 3,376 3,508 4,211 3,819 3,905 3,343 3,442 3,605 3,484 3,519 3,742 4,072 4,086 3,671 3,275 4,029 3,534 3,622 3,526 119,262 3,7269262 12 3,815 2,434 2,273 2,453 2,513 2,459 2,752 4,297 1,000 1,000 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 1,000 2,233 2,318 1,000 1,000 2,368 2,579 2,503 2,327 1,000 2,529 1,000 1,000 1,000 68,753 2,1485276 13 2,405 2,434 2,273 2,453 2,513 2,459 2,752 2,758 2,526 2,342 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 2,217 2,233 2,318 2,323 2,275 3,742 4,072 1,000 3,671 3,275 4,029 3,534 3,622 3,526 86,651 2,7078472 14 3,815 2,434 1,000 2,453 2,513 1,000 2,752 4,297 1,000 1,000 3,952 4,631 2,579 3,376 1,000 2,616 3,819 3,905 3,343 3,442 2,318 1,000 2,275 3,742 4,072 2,503 3,671 3,275 4,029 1,000 1,000 2,367 86,177 2,6930281 15 2,405 2,434 2,273 2,453 2,513 2,459 2,752 2,758 2,526 2,342 2,493 2,972 2,579 2,128 2,249 2,616 2,409 2,452 2,217 2,233 2,318 2,323 2,275 2,368 2,579 1,000 2,327 2,226 2,529 2,331 2,376 2,367 76,285 2,3839197 16 2,405 2,434 2,273 3,916 2,513 2,459 2,752 2,758 2,526 2,342 2,493 2,972 4,072 2,128 2,249 2,616 2,409 2,452 1,000 2,233 3,605 2,323 2,275 2,368 2,579 2,503 2,327 1,000 2,529 2,331 1,000 2,367 78,211 2,4440818 17 3,815 3,881 1,000 2,453 2,513 3,952 4,462 2,758 2,526 2,342 3,952 4,631 4,072 3,376 3,508 4,211 3,819 3,905 2,217 1,000 1,000 2,323 2,275 3,742 4,072 1,000 3,671 1,000 1,000 2,331 2,376 1,000 90,182 2,8181753 18 2,405 1,000 2,273 2,453 4,134 2,459 2,752 4,297 2,526 2,342 2,493 2,972 2,579 3,376 3,508 2,616 2,409 2,452 3,343 2,233 2,318 2,323 3,519 2,368 2,579 2,503 2,327 2,226 2,529 2,331 1,000 1,000 81,647 2,5514767 19 3,815 2,434 1,000 2,453 2,513 1,000 2,752 4,297 1,000 1,000 3,952 4,631 2,579 3,376 1,000 2,616 3,819 3,905 3,343 3,442 1,000 2,323 1,000 3,742 4,072 1,000 3,671 3,275 4,029 1,000 1,000 2,367 83,404 2,6063666 20 2,405 2,434 2,273 2,453 2,513 2,459 1,000 2,758 1,000 2,342 2,493 4,631 4,072 3,376 3,508 2,616 1,000 1,000 1,000 1,000 2,318 2,323 2,275 1,000 2,579 2,503 2,327 1,000 1,000 2,331 2,376 2,367 70,733 2,210408 21 2,405 1,000 1,000 2,453 2,513 1,000 2,752 4,297 2,526 2,342 2,493 2,972 4,072 2,128 1,000 2,616 2,409 2,452 1,000 2,233 1,000 1,000 2,275 2,368 2,579 1,000 1,000 1,000 2,529 1,000 1,000 1,000 63,416 1,9817454 22 2,405 2,434 1,000 2,453 1,000 2,459 2,752 2,758 2,526 2,342 2,493 2,972 4,072 2,128 2,249 2,616 2,409 2,452 2,217 2,233 2,318 2,323 2,275 2,368 2,579 1,000 2,327 2,226 2,529 2,331 2,376 1,000 73,626 2,3007994 23 3,815 2,434 1,000 1,000 2,513 2,459 2,752 4,297 2,526 2,342 3,952 4,631 4,072 3,376 3,508 4,211 2,409 2,452 3,343 3,442 1,000 1,000 3,519 3,742 4,072 2,503 3,671 2,226 2,529 1,000 2,376 1,000 89,172 2,7866095 24 2,405 2,434 1,000 2,453 2,513 2,459 2,752 2,758 1,000 2,342 2,493 2,972 1,000 1,000 1,000 2,616 1,000 2,452 1,000 1,000 2,318 1,000 2,275 1,000 1,000 2,503 2,327 1,000 2,529 1,000 1,000 1,000 57,603 1,8000905 25 3,815 3,881 3,371 3,916 2,513 1,000 2,752 4,297 2,526 3,585 3,952 2,972 4,072 3,376 3,508 4,211 3,819 3,905 3,343 3,442 3,605 3,484 1,000 2,368 4,072 1,000 3,671 3,275 4,029 1,000 2,376 1,000 99,134 3,0979339 26 2,405 2,434 2,273 2,453 2,513 2,459 2,752 2,758 2,526 1,000 2,493 2,972 4,072 1,000 2,249 2,616 2,409 2,452 2,217 2,233 3,605 2,323 3,519 2,368 2,579 1,000 1,000 1,000 2,529 2,331 2,376 2,367 75,286 2,3526823 27 2,405 3,881 3,371 3,916 2,513 3,952 4,462 4,297 2,526 2,342 3,952 2,972 2,579 2,128 3,508 2,616 3,819 2,452 2,217 3,442 3,605 2,323 1,000 1,000 2,579 2,503 2,327 2,226 2,529 2,331 1,000 2,367 89,141 2,7856668 28 1,000 1,000 1,000 1,000 2,513 1,000 1,000 2,758 1,000 1,000 1,000 2,972 2,579 3,376 1,000 2,616 2,409 1,000 2,217 1,000 1,000 1,000 3,519 2,368 4,072 2,503 2,327 2,226 2,529 1,000 1,000 2,367 59,352 1,8547571 29 3,815 2,434 3,371 2,453 1,000 2,459 2,752 2,758 2,526 1,000 2,493 2,972 2,579 2,128 2,249 2,616 2,409 1,000 2,217 1,000 2,318 1,000 2,275 2,368 2,579 1,000 2,327 2,226 2,529 2,331 1,000 2,367 70,554 2,2048034 30 1,000 1,000 2,273 2,453 1,000 1,000 2,752 2,758 2,526 1,000 1,000 2,972 2,579 2,128 2,249 1,000 1,000 1,000 2,217 2,233 2,318 1,000 1,000 1,000 2,579 1,000 1,000 1,000 2,529 1,000 1,000 1,000 52,567 1,6427319 31 2,405 1,000 2,273 2,453 2,513 1,000 2,752 2,758 1,000 1,000 2,493 2,972 2,579 1,000 2,249 2,616 2,409 2,452 1,000 1,000 2,318 1,000 1,000 2,368 2,579 1,000 2,327 1,000 2,529 2,331 2,376 1,000 61,755 1,9298396 32 3,815 2,434 1,000 2,453 1,000 2,459 4,462 4,297 1,000 3,585 2,493 2,972 4,072 3,376 3,508 2,616 1,000 2,452 1,000 1,000 2,318 3,484 3,519 2,368 4,072 1,000 2,327 1,000 4,029 1,000 2,376 1,000 79,488 2,4840012 33 2,405 2,434 1,000 1,000 1,000 2,459 2,752 2,758 2,526 1,000 2,493 2,972 2,579 3,376 2,249 2,616 2,409 2,452 1,000 2,233 1,000 1,000 2,275 2,368 2,579 2,503 2,327 2,226 2,529 2,331 2,376 1,000 68,230 2,1321784 Data dibawah ini merupakan hasil uji MSI rekapitulasi jawaban responden terhadap kuisioner kinerja karyawan. Skala ordinal pada kuisioner kinerja karyawan dikonversi menjadi skala interval dengan hasil pada tabel dibawah ini: Tabel 4.23. Hasil Konversi Uji MSI Kinerja Karyawan Resp 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Total Rata-rata 1 2,459 2,542 1,000 1,000 2,538 1,000 1,000 1,000 1,000 2,410 2,205 1,000 3,916 2,325 2,380 1,000 2,363 2,438 1,000 1,000 1,000 1,000 1,000 2,409 2,464 1,000 2,510 2,316 49,275 1,759805686 2 2,459 2,542 1,000 2,496 4,038 2,434 2,236 2,367 1,000 3,819 3,457 1,000 2,462 2,325 2,380 1,000 2,363 2,438 1,000 2,212 2,513 1,000 1,000 2,409 2,464 1,000 1,000 2,316 58,731 2,097526711 3 1,000 1,000 2,429 2,496 2,538 2,434 1,000 1,000 2,428 2,410 2,205 1,000 2,462 1,000 1,000 1,000 1,000 2,438 1,000 1,000 2,513 1,000 2,370 2,409 2,464 1,000 1,000 1,000 46,597 1,664167419 4 2,459 2,542 1,000 2,496 4,038 2,434 1,000 1,000 2,428 2,410 3,457 1,000 1,000 1,000 3,768 1,000 1,000 1,000 1,000 1,000 2,513 2,409 2,370 2,409 2,464 2,307 1,000 1,000 53,505 1,910891169 5 2,459 2,542 1,000 2,496 2,538 2,434 1,000 2,367 1,000 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 3,179 2,513 2,409 2,370 2,409 2,464 2,307 2,510 2,316 64,202 2,292927627 6 2,459 2,542 2,429 2,496 4,038 2,434 2,236 2,367 2,428 1,000 3,457 2,500 2,462 2,325 3,768 2,451 2,363 2,438 2,355 2,212 2,513 2,409 2,370 1,000 2,464 2,307 1,000 2,316 67,139 2,397819162 7 1,000 2,542 1,000 1,000 2,538 2,434 2,236 2,367 1,000 2,410 2,205 1,000 2,462 2,325 1,000 1,000 2,363 1,000 1,000 2,212 2,513 2,409 2,370 2,409 1,000 1,000 1,000 1,000 48,795 1,742664966 8 2,459 2,542 1,000 2,496 4,038 2,434 1,000 1,000 1,000 1,000 2,205 1,000 2,462 3,656 2,380 1,000 2,363 2,438 3,639 1,000 1,000 2,409 2,370 1,000 1,000 1,000 1,000 1,000 51,891 1,853262682 9 2,459 2,542 2,429 2,496 2,538 2,434 2,236 2,367 2,428 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 1,000 2,513 2,409 2,370 2,409 2,464 2,307 2,510 2,316 66,116 2,361275348 10 1,000 2,542 1,000 2,496 1,000 1,000 2,236 1,000 2,428 1,000 1,000 2,500 1,000 1,000 1,000 2,451 1,000 1,000 1,000 2,212 1,000 1,000 1,000 1,000 2,464 1,000 1,000 1,000 39,329 1,404591601 11 3,952 4,114 3,616 4,001 4,038 3,881 3,324 3,526 3,708 3,819 3,457 4,038 3,916 3,656 3,768 3,904 3,702 3,890 3,639 3,179 4,089 3,815 3,694 3,819 3,951 3,297 3,854 3,436 105,085 3,753028276 12 2,459 2,542 2,429 1,000 2,538 1,000 1,000 1,000 1,000 1,000 2,205 1,000 2,462 2,325 2,380 1,000 1,000 1,000 2,355 1,000 1,000 2,409 1,000 1,000 1,000 1,000 1,000 1,000 42,104 1,50371359 13 2,459 2,542 2,429 2,496 2,538 2,434 2,236 2,367 2,428 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 1,000 2,513 2,409 2,370 2,409 2,464 2,307 2,510 2,316 66,116 2,361275348 14 1,000 2,542 1,000 1,000 4,038 2,434 3,324 3,526 2,428 1,000 1,000 2,500 3,916 3,656 3,768 1,000 2,363 1,000 2,355 1,000 2,513 1,000 1,000 2,409 1,000 1,000 1,000 1,000 55,772 1,991861606 15 2,459 2,542 2,429 2,496 2,538 2,434 2,236 2,367 2,428 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 1,000 2,513 2,409 2,370 2,409 2,464 2,307 2,510 2,316 66,116 2,361275348 16 2,459 2,542 1,000 2,496 4,038 2,434 1,000 2,367 2,428 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 2,212 2,513 2,409 2,370 2,409 2,464 1,000 2,510 1,000 63,540 2,269270509 17 2,459 2,542 1,000 4,001 4,038 3,881 3,324 2,367 1,000 2,410 3,457 2,500 3,916 3,656 3,768 2,451 2,363 2,438 3,639 1,000 2,513 3,815 1,000 3,819 3,951 3,297 2,510 1,000 78,114 2,789788029 18 2,459 2,542 2,429 2,496 2,538 2,434 2,236 1,000 2,428 3,819 2,205 2,500 2,462 2,325 2,380 2,451 3,702 2,438 2,355 1,000 2,513 2,409 2,370 2,409 2,464 1,000 2,510 2,316 66,191 2,363949855 19 1,000 2,542 1,000 1,000 4,038 2,434 3,324 3,526 2,428 1,000 1,000 2,500 3,916 3,656 3,768 1,000 2,363 1,000 2,355 3,179 2,513 2,409 2,370 3,819 1,000 2,307 2,510 2,316 66,273 2,366909322 20 1,000 1,000 1,000 2,496 2,538 1,000 2,236 1,000 1,000 2,410 1,000 1,000 2,462 2,325 2,380 1,000 1,000 1,000 1,000 2,212 2,513 2,409 1,000 2,409 1,000 1,000 1,000 1,000 43,390 1,549654069 21 1,000 2,542 1,000 2,496 4,038 2,434 1,000 1,000 1,000 2,410 3,457 1,000 2,462 2,325 3,768 2,451 2,363 2,438 2,355 1,000 2,513 2,409 2,370 2,409 2,464 2,307 1,000 1,000 59,012 2,107565348 22 2,459 2,542 1,000 2,496 4,038 2,434 2,236 1,000 1,000 3,819 3,457 1,000 3,916 3,656 1,000 2,451 1,000 2,438 2,355 2,212 1,000 1,000 1,000 3,819 2,464 1,000 1,000 3,436 61,228 2,186721282 23 3,952 4,114 2,429 4,001 4,038 3,881 3,324 2,367 1,000 2,410 3,457 1,000 3,916 3,656 3,768 2,451 3,702 3,890 2,355 2,212 4,089 3,815 3,694 1,000 3,951 3,297 2,510 3,436 87,715 3,132692131 24 2,459 1,000 1,000 1,000 2,538 1,000 1,000 1,000 1,000 2,410 1,000 1,000 1,000 1,000 2,380 1,000 1,000 1,000 3,639 1,000 1,000 1,000 2,370 2,409 2,464 1,000 1,000 1,000 40,668 1,452444911 25 2,459 4,114 3,616 4,001 4,038 3,881 3,324 1,000 2,428 3,819 3,457 2,500 2,462 3,656 3,768 3,904 3,702 3,890 1,000 3,179 4,089 3,815 3,694 3,819 3,951 3,297 1,000 3,436 91,301 3,260753996 26 3,952 2,542 2,429 4,001 4,038 1,000 1,000 1,000 1,000 2,410 2,205 1,000 2,462 2,325 2,380 2,451 2,363 2,438 1,000 1,000 2,513 2,409 1,000 2,409 2,464 1,000 1,000 1,000 56,791 2,028260253 27 2,459 2,542 2,429 2,496 4,038 2,434 2,236 1,000 1,000 3,819 3,457 2,500 2,462 2,325 2,380 2,451 2,363 2,438 1,000 3,179 2,513 1,000 2,370 2,409 1,000 1,000 1,000 1,000 61,301 2,189314201 28 1,000 1,000 2,429 2,496 2,538 2,434 1,000 1,000 1,000 2,410 2,205 1,000 1,000 1,000 2,380 1,000 1,000 1,000 2,355 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 39,246 1,401655806 29 2,459 2,542 1,000 2,496 4,038 1,000 2,236 2,367 1,000 3,819 3,457 1,000 2,462 2,325 2,380 1,000 2,363 2,438 1,000 2,212 2,513 1,000 1,000 2,409 2,464 1,000 1,000 2,316 57,296 2,046300019 30 1,000 1,000 1,000 2,496 2,538 1,000 1,000 1,000 1,000 2,410 2,205 1,000 1,000 1,000 2,380 2,451 1,000 1,000 1,000 1,000 2,513 2,409 1,000 1,000 2,464 1,000 1,000 1,000 40,865 1,459469589 31 1,000 1,000 1,000 2,496 2,538 2,434 1,000 1,000 2,428 2,410 1,000 2,500 2,462 2,325 1,000 1,000 1,000 2,438 1,000 1,000 1,000 2,409 2,370 2,409 2,464 1,000 1,000 1,000 46,685 1,667312192 32 2,459 4,114 1,000 2,496 4,038 1,000 1,000 1,000 3,708 2,410 1,000 1,000 2,462 1,000 2,380 2,451 3,702 1,000 2,355 1,000 2,513 2,409 3,694 3,819 2,464 1,000 1,000 2,316 60,790 2,17107445 33 2,459 2,542 1,000 2,496 2,538 2,434 1,000 2,367 1,000 2,410 2,205 2,500 2,462 2,325 2,380 2,451 2,363 2,438 2,355 3,179 2,513 2,409 2,370 2,409 2,464 2,307 2,510 2,316 64,202 2,292927627

4.3.5. Hasil Analisis SPSS 20 for Windows

Pada penelitian ini untuk mengetahui bentuk hubungan linear dari Beban Kerja terhadap Kepuasan Kerja dan Kinerja Karyawan DIPO Lokomotif Bandung digunakan analisis Regresi Linier sederhana.

4.3.5.1. Hasil Pengujian Asumsi Klasik Regresi

Sebelum melakukan analisis data maka model regresi diuji kesesuaian asumsi klasik yang bertujuan untuk mendapatkan model regresi yang baik. Model regresi yang baik yang harus data yang dihasilkan harus berdistribusi normal dan Heteroskedastisitas. Hasil yang diperoleh dalam menguji penyimpangan asumsi klasik adalah sebagai berikut:

a. Hasil Pengujian Normalitas Data Residual

Pengujian normalitas dilakukan untuk menguji normalitas data residual hasil taksiran model regresi error term. Pengujian normalitas dilakukan dengan menggunakan uji Kolmogorov Smirnov terhadap data residual hasil taksiran model regresi. Hasil perhitungan untuk model yang diperoleh dapat dilihat pada tabel berikut. Tabel 4.24. Hasil Uji Normalitas Taksiran Model Regresi X –Y One-Sample Kolmogorov-Smirnov Test AbsR_XY1 AbsR_XY2 N 33 33 Normal Parameters a,b Mean ,3598 ,3633 Std. Deviation ,29093 ,30674 Most Extreme Differences Absolute ,161 ,146 Positive ,161 ,146 Negative -,122 -,123 Kolmogorov-Smirnov Z ,927 ,841 Asymp. Sig. 2-tailed ,357 ,479 a. Test distribution is Normal. b. Calculated from data. Sumber: Lampiran Output SPPS 20 Hasil perhitungan nilai Kolmogorov untuk model regresi X –Y1 yang diperoleh adalah sebesar 0,161 dengan probabiliti p-value sebesar 0,357. Karena nilai probability uji Kolmogorov model lebih besar dari tingkat kekeliruan 0,05, maka dapat disimpulkan bahwa nilai residual dari model regresi X terhadap Y1 berdistribusi normal. Sedangkan hasil perhitungan nilai Kolmogorov untuk model regresi X –Y2 yang diperoleh adalah sebesar 0,146 dengan probabiliti p-value sebesar 0,479. Karena nilai probability uji Kolmogorov model lebih besar dari tingkat kekeliruan 0,05, maka dapat disimpulkan bahwa nilai residual dari model regresi X terhadap Y2 berdistribusi normal. Cara lain untuk mengetahui apakah data terdistribusi normal atau tidak adalah dengan melihat grafik normal P Plot of Regresion Statistic. Dengan melihat tampilan grafik normal dapat disimpulkan bahwa grafik normal plot terlihat titik- titik menyebar disekitar diagonal, serta penyebarannya mengikuti garis diagonal. Kedua grafik menunjukkan bahwa model regresi layak dipakai karena memenuhi asumsi normalitas. Gambar 4.5. Grafik Normal P-Plot Asumsi Normalitas