Dosen Pengampu : Prof.Dr.Suhartono,M.Kom
Lembaga : UIN Maliki Malang
Jurusan : Teknik Informatika
Fakultas : Sains Dan Teknologi
library(readxl)
## Warning: package 'readxl' was built under R version 4.1.2
datainflowBali <- read_excel(path = "InflowThBali.xlsx")
datainflowBali
## # A tibble: 11 x 2
## Tahun Bali
## <dbl> <dbl>
## 1 2011 6394.
## 2 2012 8202.
## 3 2013 5066.
## 4 2014 11590.
## 5 2015 13072.
## 6 2016 17914.
## 7 2017 16962.
## 8 2018 18610.
## 9 2019 21422.
## 10 2020 14735.
## 11 2021 7505.
library(readxl)
dataoutflowBali <- read_excel(path = "outflowThBali.xlsx")
dataoutflowBali
## # A tibble: 11 x 2
## Tahun Bali
## <dbl> <dbl>
## 1 2011 8912.
## 2 2012 10782.
## 3 2013 7248.
## 4 2014 13104.
## 5 2015 14471.
## 6 2016 18140.
## 7 2017 17822.
## 8 2018 20434.
## 9 2019 20654.
## 10 2020 14323.
## 11 2021 6531.
datainflowBali$`Bali`
## [1] 6394.349 8202.467 5066.456 11589.965 13071.655 17913.703 16962.106
## [8] 18609.607 21421.705 14735.153 7505.179
plot(datainflowBali$`Bali`, type = "l", col = "red")
dataoutflowBali$`Bali`
## [1] 8911.800 10781.770 7247.564 13103.630 14470.640 18139.587 17821.691
## [8] 20433.972 20654.361 14322.539 6530.569
plot(dataoutflowBali$`Bali`, type = "l", col = "blue")
plot(datainflowBali$`Bali`, type = "l", col = "orange")
library(readxl)
datainflowBlnBali <- read_excel(path = "inflowBlnBali.xlsx")
datainflowBlnBali
## # A tibble: 128 x 2
## Keterangan Bali
## <dttm> <dbl>
## 1 2011-01-01 00:00:00 463.
## 2 2011-02-01 00:00:00 401.
## 3 2011-03-01 00:00:00 532.
## 4 2011-04-01 00:00:00 431.
## 5 2011-05-01 00:00:00 474.
## 6 2011-06-01 00:00:00 393.
## 7 2011-07-01 00:00:00 585.
## 8 2011-08-01 00:00:00 328.
## 9 2011-09-01 00:00:00 1434.
## 10 2011-10-01 00:00:00 522.
## # ... with 118 more rows
library(readxl)
dataoutflowBlnBali <- read_excel(path = "outflowBlnBali.xlsx")
dataoutflowBlnBali
## # A tibble: 128 x 2
## Bulan Bali
## <dttm> <dbl>
## 1 2011-01-01 00:00:00 177.
## 2 2011-02-01 00:00:00 353.
## 3 2011-03-01 00:00:00 581.
## 4 2011-04-01 00:00:00 662.
## 5 2011-05-01 00:00:00 652.
## 6 2011-06-01 00:00:00 852.
## 7 2011-07-01 00:00:00 746.
## 8 2011-08-01 00:00:00 1888.
## 9 2011-09-01 00:00:00 458.
## 10 2011-10-01 00:00:00 609.
## # ... with 118 more rows
datainflowBlnBali$`Bali`
## [1] 463.4942 401.2705 531.8321 430.9272 474.4475 393.3474 585.2862
## [8] 328.0076 1434.0210 522.3054 515.8948 313.5151 762.4934 914.6596
## [15] 603.7560 585.8805 728.3468 587.1981 596.7980 722.4166 871.1744
## [22] 622.0534 802.9841 404.7057 504.5470 225.2885 144.5615 138.7439
## [29] 154.8955 140.1864 181.5579 628.6199 741.6369 633.2221 1035.4237
## [36] 537.7725 1580.2015 1062.1237 689.1191 989.9306 589.6238 1027.5450
## [43] 499.7980 1880.5043 878.8203 894.8855 995.4530 501.9600 2142.3029
## [50] 977.6232 965.6738 1078.2866 916.6191 815.5232 1816.1220 1003.7575
## [57] 849.1843 865.9261 975.2170 665.4194 2074.5030 1651.8148 1349.2410
## [64] 1088.3478 1353.8161 952.5911 2201.8241 1280.5338 1804.2490 1450.3419
## [71] 1467.4868 1238.9536 2052.4898 1421.0190 1101.7151 1574.5009 1468.2795
## [78] 832.9708 2545.4088 1177.3180 1206.4513 1048.4978 1787.1670 746.2877
## [85] 2241.5629 1242.8403 1018.0038 1503.9253 850.0291 2939.5841 1575.9134
## [92] 1537.0602 1540.6172 1925.8187 1558.4903 675.7620 3472.2707 1615.9872
## [99] 1701.0987 1460.2353 1252.9815 2856.2398 1316.8511 1640.0412 1524.4376
## [106] 1758.9356 1566.7674 1255.8585 2986.7851 1546.2565 1229.2731 1473.7059
## [113] 1016.1529 1296.2055 835.0932 832.4055 1163.7777 660.4813 1155.9158
## [120] 539.1009 2434.9203 871.2755 774.6759 852.3260 1078.5028 501.8520
## [127] 395.7334 595.8928
plot(datainflowBlnBali$`Bali`, type = "l", col = "red")
dataoutflowBlnBali$`Bali`
## [1] 177.04785 353.18190 580.84406 662.00472 652.35527 852.01834
## [7] 745.90148 1888.16025 458.37649 608.86935 572.37848 1360.66160
## [13] 451.04246 341.39192 830.24284 688.71274 904.20054 1196.88221
## [19] 840.91454 1898.63637 387.91387 772.62723 857.06659 1612.13863
## [25] 57.18282 214.88582 231.08275 240.06173 465.74861 437.29678
## [31] 674.75666 507.77241 922.70871 931.60575 804.41288 1760.04933
## [37] 539.79219 545.37326 1297.23545 706.53950 1253.95573 708.63728
## [43] 2669.93489 733.76944 1017.97525 1149.32633 770.15061 1710.94016
## [49] 448.78833 824.46903 816.20727 1369.16692 887.81091 1207.45967
## [55] 2976.88610 953.14580 968.62953 898.48387 948.15400 2171.43853
## [61] 467.61312 1284.03949 1185.71883 1072.46665 1332.92351 2701.59907
## [67] 1644.16987 1701.46965 1780.98094 1467.68976 1337.69222 2163.22355
## [73] 664.22361 940.12622 2369.52057 911.87713 1340.86594 3569.26368
## [79] 781.43826 1801.45865 1017.94123 1565.91417 1111.98409 1747.07757
## [85] 441.30460 1156.29890 1850.51681 1273.03798 2789.95571 2614.49313
## [91] 1206.27367 1944.98961 1483.80701 1389.89394 1240.50547 3042.89475
## [97] 362.28166 1287.88184 2032.19820 1594.95019 4132.40136 681.97264
## [103] 1962.25710 1375.85971 1406.26619 1366.25863 1482.11267 2969.92057
## [109] 998.41301 1560.90210 1466.22016 771.87655 1129.30582 598.21047
## [115] 1147.79277 1027.66274 1053.31914 1419.90221 772.16276 2376.77159
## [121] 208.86741 606.52211 940.73108 1365.48474 1381.95964 839.89621
## [127] 752.80505 434.30228
plot(dataoutflowBlnBali$`Bali`, type = "l", col = "yellow")