Nama : Disa Nastha Gesiya NIM : 2404010011

  1. Prediksi permintaan es teh 5 hari dan 20 hari
# Data
permintaan <- c(50, 60, 70, 80, 90)
frekuensi <- c(10, 20, 40, 20, 10)

# Probabilitas
prob <- frekuensi / sum(frekuensi)

set.seed(123)

# Simulasi 5 hari
sim5 <- sample(permintaan,
               size = 5,
               replace = TRUE,
               prob = prob)

sim5
## [1] 70 80 60 90 50
mean(sim5)
## [1] 70
# Simulasi 20 hari
sim20 <- sample(permintaan,
                size = 20,
                replace = TRUE,
                prob = prob)

sim20
##  [1] 70 60 90 60 60 50 60 80 60 70 90 70 70 70 50 90 80 80 50 80
mean(sim20)
## [1] 69.5
  1. Membangkitkan data distribusi eksponensial dan normal
set.seed(123)

# Permintaan berdistribusi eksponensial
permintaan <- rexp(10, rate = 0.1)

# Frekuensi berdistribusi normal
frekuensi <- rnorm(10, mean = 50, sd = 10)

permintaan
##  [1]  8.4345726  5.7661027 13.2905487  0.3157736  0.5621098  3.1650122
##  [7]  3.1422729  1.4526680 27.2623646  0.2915345
frekuensi
##  [1] 45.54338 62.24082 53.59814 54.00771 51.10683 44.44159 67.86913 54.97850
##  [9] 30.33383 57.01356
  1. Prediksi permintaan 5 hari
set.seed(123)

pred5 <- rexp(5, rate = 0.1)

pred5
## [1]  8.4345726  5.7661027 13.2905487  0.3157736  0.5621098
mean(pred5)
## [1] 5.673821
  1. Prediksi permintaan 20 hari
set.seed(123)

pred20 <- rexp(20, rate = 0.1)

pred20
##  [1]  8.4345726  5.7661027 13.2905487  0.3157736  0.5621098  3.1650122
##  [7]  3.1422729  1.4526680 27.2623646  0.2915345 10.0483006  4.8021473
## [13]  2.8101363  3.7711783  1.8828404  8.4978613 15.6320354  4.7876042
## [19]  5.9093484 40.4101171
mean(pred20)
## [1] 8.111726
  1. Prediksi permintaan 100 hari
set.seed(123)

pred100 <- rexp(100, rate = 0.1)

pred100
##   [1]  8.43457261  5.76610271 13.29054868  0.31577359  0.56210976  3.16501216
##   [7]  3.14227292  1.45266804 27.26236464  0.29153447 10.04830058  4.80214728
##  [13]  2.81013628  3.77117831  1.88284041  8.49786130 15.63203540  4.78760416
##  [19]  5.90934835 40.41011711  8.43149731  9.65871211 14.85275794 13.48044486
##  [25] 11.68528984 16.05852343 14.96742869 15.70652547  0.31767744  5.97849691
##  [31] 21.67839745  5.06615729  2.59557817 25.96892116 12.29025732  7.90681759
##  [37]  6.29280078 12.54641003  5.88684642 11.29290034  4.20364803 72.11007576
##  [43]  8.45721965  2.25542007 11.00338818 22.48305692 13.63734299  5.76391668
##  [49] 27.25275850 13.12163043  0.90591350  3.06203850 10.67213070  3.13516256
##  [55]  9.74640151 18.87823315  5.64588603 25.76961329 10.47695748 10.24441342
##  [61] 10.27869616  2.84668461 15.63051889  0.42088293  0.98630890  0.98569312
##  [67]  2.80385161  2.95786959  9.72429649  9.24027224 16.42404527 16.19912768
##  [73] 25.36145540 15.21549623  3.80014203  2.38512967  4.66487424  0.42271452
##  [79]  3.19676899  6.43610920  5.72563103  2.16055503 44.98673398 18.57090553
##  [85]  6.85458638 14.39452626 17.31153984 12.44783300 14.63300560 15.37393979
##  [91]  0.04599127 11.08765468  2.99970318 11.92003007 11.14928704  0.67375891
##  [97]  4.80668721 15.70454339  2.59946107 18.56922287
mean(pred100)
## [1] 10.45719
  1. Prediksi permintaan 1000 hari
set.seed(123)

pred1000 <- rexp(1000, rate = 0.1)

pred1000
##    [1]  8.434572611  5.766102709 13.290548678  0.315773591  0.562109761
##    [6]  3.165012164  3.142272922  1.452668039 27.262364643  0.291534471
##   [11] 10.048300577  4.802147277  2.810136275  3.771178311  1.882840409
##   [16]  8.497861297 15.632035396  4.787604163  5.909348354 40.410117114
##   [21]  8.431497311  9.658712111 14.852757940 13.480444857 11.685289843
##   [26] 16.058523431 14.967428687 15.706525469  0.317677440  5.978496913
##   [31] 21.678397455  5.066157286  2.595578173 25.968921165 12.290257318
##   [36]  7.906817589  6.292800778 12.546410029  5.886846422 11.292900338
##   [41]  4.203648027 72.110075760  8.457219652  2.255420065 11.003388175
##   [46] 22.483056923 13.637342993  5.763916681 27.252758498 13.121630426
##   [51]  0.905913501  3.062038501 10.672130696  3.135162559  9.746401505
##   [56] 18.878233153  5.645886026 25.769613291 10.476957479 10.244413418
##   [61] 10.278696156  2.846684607 15.630518886  0.420882930  0.986308898
##   [66]  0.985693121  2.803851613  2.957869587  9.724296489  9.240272240
##   [71] 16.424045267 16.199127677 25.361455398 15.215496234  3.800142030
##   [76]  2.385129668  4.664874236  0.422714516  3.196768994  6.436109203
##   [81]  5.725631034  2.160555025 44.986733978 18.570905532  6.854586378
##   [86] 14.394526261 17.311539836 12.447832999 14.633005600 15.373939785
##   [91]  0.045991265 11.087654680  2.999703176 11.920030070 11.149287037
##   [96]  0.673758909  4.806687208 15.704543390  2.599461069 18.569222874
##  [101]  4.632196208  2.360357465 11.820994215  0.596713717  4.032384415
##  [106]  9.429398402  4.165806444  7.532184049  1.886863881  8.768538711
##  [111]  1.900378207  9.790782062  3.233758273 13.204775536  3.184606484
##  [116] 16.050672959  1.457341164 18.031293186  0.300594545 13.034405494
##  [121]  1.997922447 17.514562420 17.636683322  8.430435783  3.487527762
##  [126] 32.978247998  4.017061749 11.007017344 13.289231723  6.419026479
##  [131]  1.958337154  4.567888565  3.727501640 34.635948910 12.740277191
##  [136] 10.814851507  2.969591609  0.841607344 29.534009172 19.682522546
##  [141]  6.638551257 16.093921437  6.068370841  0.936523131  3.246352840
##  [146] 17.598823122  2.661107196  9.406261677  4.491086928 12.889064792
##  [151]  1.782890626 15.717260875  0.621407977  5.705833426 17.307808454
##  [156] 13.107439046 12.948729662  4.673107091  0.328897885  1.530380426
##  [161] 10.384720042 10.824457062 37.472911382  0.056260913  0.043673706
##  [166] 16.999841611  5.406681485  4.703686116  0.515594157  5.171863390
##  [171] 14.831430092 12.794855590 14.264681739 21.182943414 14.241603741
##  [176]  8.841143110 26.909868586 22.299070972  5.228044602  0.686505648
##  [181]  5.691505331 43.659109359  5.581317656  4.587813038  2.602637056
##  [186]  6.988417450  9.631883885  7.314795549 11.122795706  6.056245458
##  [191]  6.714176740 16.316588301  1.019261316  4.079841226 27.403485532
##  [196] 28.518774582  0.241733721  4.755948060  6.681086184  9.502303022
##  [201] 11.377750027  0.827650866 16.429077049  1.589004147 14.786159377
##  [206]  1.130317389  2.241256704  6.705106399 15.368307102 19.288219362
##  [211]  2.135722003  5.678929575 19.333238005 36.027478629 13.195786457
##  [216]  9.307641349  3.154568624  1.447820521  9.282945115  2.583424659
##  [221]  5.383878225  0.753543661  1.284377063 25.988401527 20.701909940
##  [226]  2.053810175 27.661254796 14.563427714 27.629222977 14.828341323
##  [231]  2.741042617  7.503337262 10.503975013  3.615751024  9.609441729
##  [236]  6.631371961 15.776374134 19.224809109  2.230031494 38.452058895
##  [241]  1.925270893  9.808966834  2.099576880 12.459658356 16.700951009
##  [246]  3.906887232 10.113368341  0.749836427 26.705747152 16.756204627
##  [251]  8.251186637  1.677446719  4.634153177 17.104616500  4.911461654
##  [256] 15.629672296 11.253750342  3.466649628  0.476452033 10.923543516
##  [261] 14.266298407  5.181388311 16.255881674 21.940174406  1.698731147
##  [266]  7.762592583 15.823527044  6.207961324 25.821072551  6.440601423
##  [271] 11.522778269  6.934697359 15.354364058  6.278674426  9.242026778
##  [276]  3.754853713  0.802523482  3.564477148 12.715098659 22.072651851
##  [281]  7.534095128  0.343374270  5.738547053 11.075714845 11.589129604
##  [286]  8.415477033 23.590081389 11.549642589 18.104048780  0.721074413
##  [291]  0.078974240  2.365858856 23.999404478  2.742510571 17.602416090
##  [296]  7.365728503  6.301629902  8.977172784 11.518312925  9.415983483
##  [301] 29.684275983  0.376098468  3.580268314  0.176937591  9.046976789
##  [306]  3.098624326  6.329562776 30.365630536  4.780633710 10.880251554
##  [311]  6.585016469  0.710827834  7.913286350  6.018964238 25.457566584
##  [316]  6.642155484  8.005674704  5.062201992  0.564683164  6.044764342
##  [321] 12.338415989 10.035367766 20.258039850  1.387653253  3.671698290
##  [326]  3.314702851  0.597849172  0.196857988 35.000066811 32.993082402
##  [331]  1.393784621  3.005230008  3.075333647 12.741622263  6.246096571
##  [336]  0.940468353  3.835280304  1.749227340 11.846148043 13.463688129
##  [341] 36.410372609  1.334681655 12.565737294 11.647309716  1.048996268
##  [346]  3.334103157  0.421310278  0.612487730  0.167412595 10.431271698
##  [351]  0.221610439  3.729807022 15.068907532  6.028591674 15.565508249
##  [356]  6.454347833 10.171384951 11.898247320  2.594908476 26.255814301
##  [361] 38.733336830  4.047555645  5.097309072  0.306004157  5.508151827
##  [366] 12.004128480 31.200462802 11.507915072  7.881522597  2.110479221
##  [371]  5.182706788  6.896692486  7.652889937 19.075670625  6.379107665
##  [376] 13.642555875  1.876769862  5.976471156  0.626064980  2.514872742
##  [381]  4.912724346 24.454968589  8.952176254  2.291243146  5.058641159
##  [386]  3.297651217  4.732406922  0.390811805  0.058166082 10.953262727
##  [391]  6.911122459  6.128703277 22.425174873 22.787495608  1.089404349
##  [396] 17.744363303 37.504724914  0.426276927 24.598878341  8.251565648
##  [401] 13.748867847  1.745562484  6.133888592 20.022560320 10.037763164
##  [406]  4.295096211  6.624439578  3.816584283  0.446715322 17.518804035
##  [411]  7.207210169  2.696010196  0.791218281 15.071227606  8.279942879
##  [416]  1.660611904 17.065014987 26.202593128  9.397423068  7.336770752
##  [421] 39.469834024  2.319187020  0.928525175 11.989251533 18.732784818
##  [426] 10.541675878  3.192426744  4.587218626  6.957008925  0.747814868
##  [431]  4.213419634  4.247464860 39.284356439 13.608053792  4.487067587
##  [436] 17.640951294  9.563983371  6.085125585  0.008259739 15.731134954
##  [441] 33.522462322  1.947069652  9.784609545  0.558580006  5.908440407
##  [446] 21.823630909  3.900413946  1.728754714 16.617782022 22.255224379
##  [451]  1.148751662  7.185887041 20.162448696  0.275622783 17.205700728
##  [456]  1.387053775 15.395128819 15.519644617 13.422796325  3.660205649
##  [461]  3.068556408  4.684912487  6.149982186 14.108097180  6.962613165
##  [466] 10.193351470 13.222243404  2.707351539  6.172240898  7.283519860
##  [471]  6.389342798 44.786796542 20.136311743 36.669018024  8.256779695
##  [476]  3.760542584 17.255398636 13.236698117 27.388266119  8.154078796
##  [481] 11.390120629  7.301265448  7.772065631 32.763864992  7.443323973
##  [486]  3.312009927  3.352804626 33.538878186  3.902104888 11.461934475
##  [491]  0.964886115  8.731842655 13.949566445  1.798032476  1.233512177
##  [496]  3.774422402  9.382304167  2.111736829  0.525801560 30.079506694
##  [501] 49.034070239  5.438189646 11.551337393  1.441474413  4.076259001
##  [506]  3.144421210  8.505557607 26.352728325  4.247075447 22.615703148
##  [511]  0.063630536 14.266511238  9.980797674  4.527977766  3.022452143
##  [516]  0.520866673  0.293621851  2.948842873  8.808621341 16.446566544
##  [521] 24.313404869 15.114638767 17.444467618  5.239706463  0.547898812
##  [526]  0.090393530  3.863978027  0.743709876  1.029973129  4.906836846
##  [531]  2.063659122  7.308538612 17.783760745  3.392070918  0.930455886
##  [536]  6.229273155  5.183336041 37.501177395 12.167619811 34.007523580
##  [541]  5.958058746  3.761005307  1.671257266  3.366472870  0.226291930
##  [546]  5.255011786  0.495127852 55.813587679  3.683448828 12.288938667
##  [551]  9.713600985  6.167725106 31.140126733 11.481179595  4.744498689
##  [556] 10.852073915  1.093636588 14.842433016  5.698631126  1.414684861
##  [561]  1.927259215  1.099944154  0.164197163  2.697523122 25.662546697
##  [566] 16.807680427 13.148131612 10.604049572 13.541769934  9.093570569
##  [571]  1.205610749 16.332875657  0.304753424  0.424640084 13.329308945
##  [576] 10.047860911  2.465227670 15.061178095  3.800391340 24.110219749
##  [581]  5.639378293 32.454382776  6.396893356  7.707809703  8.245488386
##  [586]  2.864431189  0.048509590 13.693300802 11.864548853  2.542214012
##  [591]  0.955561375 16.123333852 19.167918562  7.536029937  1.442973590
##  [596] 12.938238941  1.309307613  6.592477574  2.842276390 12.591421874
##  [601]  4.191597095 22.691023685 16.677728686  3.312458967  5.473842449
##  [606]  8.747475026 21.294913309  9.294648780 18.674169107  0.139954537
##  [611] 36.939618641  5.473720790  1.193301585  2.829252784  8.866903777
##  [616]  5.854766835  1.711311527 12.721831239  6.224746993  9.673995561
##  [621]  1.628946764  8.794675339 16.965263426 14.285994562  2.434519655
##  [626]  0.959885665 15.802480708  1.190917385 10.034900359  4.391745655
##  [631]  8.612056203 22.932148966 12.583275456 48.367347305  4.913411138
##  [636]  6.534309806  3.738910285  7.989067155  3.183958516 15.861052682
##  [641] 17.706386707  9.183922158 11.727762874 23.229864108  4.263003776
##  [646]  1.018454581 14.732175320  3.895231792  4.437171185  2.578555215
##  [651]  7.787831993 37.121044429 12.624721964 17.617890201  9.717156579
##  [656] 13.473674375  5.186713934  7.807080010 20.997761337  7.479097461
##  [661] 21.691460779  5.141970669  1.385682828  6.018356974  4.555254206
##  [666] 19.021611828  0.588115128  1.972770938  4.578461023 22.360268364
##  [671]  6.526631573  9.004832892 15.696214740  1.371375080 20.037709027
##  [676] 19.287393763  4.372234903  9.472187627 14.934153798 31.665306129
##  [681] 24.539185916  6.393650370  4.059590078  1.354967472  4.426185326
##  [686]  5.048884270 12.188375676  8.451883057  0.633666543  7.317314660
##  [691]  6.635806356 13.146027196 22.415523509  1.505403268  2.513366309
##  [696]  2.568096076 10.061018373 14.975702967  4.152755436  2.578360190
##  [701] 21.323746795  1.455595623 11.965209273 20.452183596  7.754170429
##  [706] 22.389479371  3.819796997  8.409776575 15.815943255  2.785161402
##  [711]  1.501787507  4.401009157 12.821312015 25.834638233  2.697928101
##  [716] 58.143282976 20.704802795  3.580456190  0.935723729 12.431402113
##  [721]  5.769438581  3.858273332  1.885459428 23.909497780 41.359900886
##  [726] 19.476658161  0.761086649 12.339415522  3.390123933  4.361836179
##  [731]  7.380292435  5.706972368  0.843765796 13.593365615  0.547386491
##  [736] 12.218638211  6.043654159 19.696834552  2.396019009 26.935525118
##  [741] 30.647731422  8.498426002 50.393968687  8.033875012  9.939597528
##  [746]  1.774125532 14.161809828  9.378232527 23.353284242  9.801235459
##  [751]  2.498110738  8.867319626  1.414263868 31.206851078 19.120340048
##  [756]  4.541729414  6.533801006  0.214421507  1.354523315 64.218840428
##  [761] 15.365191865  0.572269663  1.724039783 27.888229860 15.576827153
##  [766]  4.061459480 21.284128780  2.436141246  0.609239044 41.304213756
##  [771]  4.504559040 10.855949183  1.091263592  4.753044145  2.462583240
##  [776]  9.372608037 12.619331190 20.029940046  4.206226081  1.250336175
##  [781]  7.967432318  4.711168073  0.985595877 10.776553563  0.299312696
##  [786]  6.315358952  0.525451386 20.106147601  2.102489870  5.411940939
##  [791]  4.668971100  6.778119965  1.380976848 41.477095539 10.693050084
##  [796]  1.102276137 22.540719005 14.783127549  3.692173925 26.733925211
##  [801] 20.165816023 11.570677338  6.923915152 14.608831188  5.581377372
##  [806]  7.135699139  0.960866520 28.574373869  6.122189523 10.441584093
##  [811]  2.475273067 12.306612711  7.016414387  0.251499433  9.745556535
##  [816]  1.628663153  2.346888166  8.112379591  4.955730974  6.878294162
##  [821]  0.695180940  9.020882267  8.657733057  3.092534896  2.017633312
##  [826]  0.727198618  1.949037332 40.592251474 50.915155873 14.373203962
##  [831] 40.540305430 25.535127724  8.294592601 14.963082348  6.739558219
##  [836]  8.549939454 16.616650558  1.711342083 15.765181779 18.187708388
##  [841] 10.500332005 18.575098719 13.153132693  2.271192367  3.713426688
##  [846]  6.470512003 11.890756357  0.130534579  9.390270169 22.922872769
##  [851]  1.304654348  0.421697272  2.615313224 11.526808703  7.300638088
##  [856] 14.290797539  8.623617975  0.597300122  4.447977361  1.115734766
##  [861] 18.498198985  4.603671241  1.790513010  9.430766310  5.455887979
##  [866] 10.383399892  2.881569837  0.688616285 13.344974588  9.013368279
##  [871]  5.959452624  6.010214239 12.408499652 12.195059610  2.910312284
##  [876]  3.578899621 15.765470284  2.255318058 31.155269293  7.368804294
##  [881]  0.013433984  7.741195820  1.976042981  4.716752525  4.271556237
##  [886] 24.780847768 18.887261329 25.977524551  6.217789575 19.056361484
##  [891] 41.277376616  0.953964518 10.140476392 21.286399605  4.660799867
##  [896] 12.768735420 10.189281902  0.777062987  6.277010483  0.334890767
##  [901]  1.642877944  6.614681245 41.668693610  5.313793342  9.517976231
##  [906]  6.240234887  1.391559458  3.162966171 17.721225014  1.694201790
##  [911]  9.885492168 12.784616968 16.774043488 37.963502312 12.149390587
##  [916] 13.825408909 19.177028685  4.106585635 44.588245718  4.624801860
##  [921] 41.902918754  2.876800043 18.678703656  2.848867513  6.932071382
##  [926] 11.882153367 17.164713851 32.978688179  5.470621120 10.176164982
##  [931]  1.057529412  3.526610578  8.024846641 34.639704300 11.160490862
##  [936]  0.613328214 12.544748969  9.671451440  3.651501085  8.316068109
##  [941] 12.535260375  2.165427500 15.020307375 21.443997456  0.189116147
##  [946]  5.747699267 11.277883797 40.723257119  4.921871959 36.436160685
##  [951]  7.511337150  6.247859676  2.550048833  2.611449719 12.567065814
##  [956]  9.348018563  4.109415001 10.044355560 22.904714289  1.827744842
##  [961] 18.129884693  4.827002482  8.686520131  2.783716214 21.112116867
##  [966]  0.887291398 10.794319253 13.756672951 12.662859046  2.176942751
##  [971] 10.750821009  6.973561422 39.938567484 30.977052522  1.295410722
##  [976]  2.181219570  3.494105266 13.852602755  3.087625755  1.236508984
##  [981]  7.231568796 21.553678363  6.581433895  5.420925939  3.236703394
##  [986]  5.703658848  0.691061922  8.009928623  4.444441022 11.183678982
##  [991] 12.239947142 27.955855502  0.428905739 21.311824134  0.257699442
##  [996]  2.841398981  5.701567191 12.933980282  2.706857373  8.388339849
mean(pred1000)
## [1] 10.29979