Dosen Pengampu : Prof. Dr. Suhartono, M.Kom
Lembaga : Universitas Islam Negeri Maulana Malik Ibrahim Malang
Jurusan : Teknik Informatika
library (readxl)
## Warning: package 'readxl' was built under R version 4.1.2
DataSulampua <- read_excel(path = "Data Sulampua.xlsx")
DataSulampua
## # A tibble: 11 x 12
## Keterangan Sulampua `Sulawesi Utara` `Sulawesi Tengah` `Sulawesi Selatan`
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2011 25056. 5671. 1563. 10593.
## 2 2012 31011. 6635. 1885. 13702.
## 3 2013 63774. 21646. 1520. 17770.
## 4 2014 41607. 7374. 3000. 19384.
## 5 2015 40309. 6286. 2593. 19583.
## 6 2016 45737. 7266. 2665. 21043.
## 7 2017 44126. 7044. 2806. 18803.
## 8 2018 52672. 7781. 3701. 21894.
## 9 2019 60202. 7809. 4042. 24749.
## 10 2020 52812. 6324. 3052. 21551.
## 11 2021 45714. 4671. 2453. 18335.
## # ... with 7 more variables: Sulawesi Tenggara <dbl>, Sulawesi Barat <dbl>,
## # Gorontalo <dbl>, Maluku Utara <dbl>, Maluku <dbl>, Papua <dbl>,
## # Papua Barat <dbl>
DataSulampua$Sulampua
## [1] 25055.97 31011.00 63774.06 41606.86 40309.32 45736.50 44126.30 52671.79
## [9] 60201.86 52811.65 45714.06
plot(DataSulampua$Sulampua, type = "l", col = "red")
DataSulampua$`Sulawesi Utara`
## [1] 5671.000 6634.641 21646.159 7374.499 6286.289 7265.597 7044.279
## [8] 7781.151 7809.155 6324.233 4671.264
plot(DataSulampua$`Sulawesi Utara`, type = "l", col = "blue")
DataSulampua$`Sulawesi Tengah`
## [1] 1562.941 1884.829 1520.442 3000.074 2593.303 2665.254 2806.429 3701.217
## [9] 4042.390 3051.851 2453.199
plot(DataSulampua$`Sulawesi Tengah`, type = "l", col = "red")
lines(DataSulampua$`Sulawesi Tengah`, type = "l", col = "blue")
DataSulampua$`Sulawesi Selatan`
## [1] 10593.50 13701.51 17769.79 19384.42 19583.09 21043.30 18803.15 21893.75
## [9] 24749.44 21550.89 18335.47
plot(DataSulampua$`Sulawesi Selatan`, type = "l", col = "red")
DataSulampua$`Sulawesi Tenggara`
## [1] 659.4304 963.5873 6092.8347 2255.6806 2384.8327 3490.9068 3617.7743
## [8] 3632.1650 4389.6582 3352.6445 3270.1025
SulampuaSeries <- DataSulampua$`Sulawesi Tenggara`
plot.ts(SulampuaSeries , type = "l", col = "red")
DataSulampua$`Sulawesi Barat`
## [1] 0.0000 0.0000 0.0000 0.0000 49.2460 536.1154 745.5931 606.4442
## [9] 541.9316 328.7502 265.3367
plot(DataSulampua$`Sulawesi Barat`, type = "l", col = "red")
DataSulampua$Gorontalo
## [1] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1087.618
## [9] 1982.668 2227.093 1770.084
plot(DataSulampua$Gorontalo, type = "l", col = "blue")
DataSulampua$`Maluku Utara`
## [1] 586.2135 632.5633 10272.8375 1005.7598 1006.5258 1259.1178
## [7] 1338.5309 1530.4824 1923.9584 1875.6152 1737.8006
plot(DataSulampua$`Maluku Utara`, type = "l", col = "red")
DataSulampua$Maluku
## [1] 1272.762 1147.057 4340.909 1781.000 1789.516 2367.153 2484.281 3209.894
## [9] 4056.139 2909.368 2794.644
plot(DataSulampua$Maluku, type = "l", col = "red")
DataSulampua$Papua
## [1] 4710.121 6046.813 2131.089 6793.698 6098.985 6291.392 6352.966 8075.711
## [9] 9258.847 9556.313 8509.055
plot(DataSulampua$Papua, type = "l", col = "red")
DataSulampua$`Papua Barat`
## [1] 0.00000 0.00000 0.00000 11.72892 517.53761 817.66243
## [7] 933.30098 1153.35466 1447.67184 1634.88794 1907.10739
plot(DataSulampua$`Papua Barat`, type = "l", col = "blue")