kkprakasa

geofencing alfamart

# uri toko
dict(zip([ i.select('span')[15].text for i  in soup.select('div[jstcache="206"]')],[ i.select('span')[0].text for i  in soup.select('div[jstcache="206"]')]))

dict(zip([ i.select('span')[15].text for i  in soup.select('div[jstcache="206"]')],list(zip([ i.find('a')['href'] for i  in soup.select('div[jstcache="206"]')],[ i.select('span')[0].text for i  in soup.select('div[jstcache="206"]')]))))

# shape
import shapefile

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/**
 * Unpivot a pivot table of any size.
 *
 * @param {A1:D30} data The pivot table.
 * @param {1} fixColumns Number of columns, after which pivoted values begin. Default 1.
 * @param {1} fixRows Number of rows (1 or 2), after which pivoted values begin. Default 1.
 * @param {"city"} titlePivot The title of horizontal pivot values. Default "column".
 * @param {"distance"[,...]} titleValue The title of pivot table values. Default "value".
 * @return The unpivoted table
 * @customfunction

kkprakasa

// sesuaikan query dengan data air untuk memasak dan bahan bakar memasak

require(foreign)
kor16<-read.dbf('../../SUSENAS/SUSENAS Maret 2016/kor16rt.dbf')[,c(1:4,22,26,108)]
b43 <- read.dbf('../../SUSENAS/SUSENAS Maret 2016/blok43.dbf')
b42 <- read.dbf('../../SUSENAS/SUSENAS Maret 2016/blok42.dbf')

#Scoring air dan bahanbakar memasak

air <- c( '1' = '4','2' = '3','3' = '3','4' = '2','5' = '2','6' = '1','7' = '1','8' = '0','9' = '0','10' = '0','11' = '0','12' = '0')

kkprakasa

# Kmeans pernah buat bikin pembagian muatan freezer vaksin

import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from k_means_constrained import KMeansConstrained

data = pd.read_csv('sulsel.csv')
X = np.array(data)

kkprakasa

pm uninstall -k --user 0 com.nttdocomo.android.databackup;
pm uninstall -k --user 0 com.nttdocomo.android.screenlockservice;
pm uninstall -k --user 0 jp.co.nttdocomo.carriermail;
pm uninstall -k --user 0 com.nttdocomo.android.felicaremotelock;
pm uninstall -k --user 0 com.nttdocomo.android.dmenu2;
pm uninstall -k --user 0 com.nttdocomo.android.schedulememo;
pm uninstall -k --user 0 com.nttdocomo.android.osv.res.overlay_305;
pm uninstall -k --user 0 com.nttdocomo.android.iconcier;
pm uninstall -k --user 0 com.sonyericsson.android.servicemenu.product.res.overlay.docomo;
pm uninstall -k --user 0 com.nttdocomo.android.pf.dcmwappush;

kkprakasa

#IDM
#!/bin/python3

import urllib3
from bs4 import BeautifulSoup
from time import sleep
import csv
import sys
import json
import ssl

kkprakasa

#!/bin/bash

# Chrome Repo
sudo apt-get install fonts-liberation xdg-utils libxss1 libappindicator1 libindicator7
wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
sudo dpkg -i google-chrome*.deb

sudo apt-get update

# Download

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#IDM
#!/bin/python3

import urllib3
from bs4 import BeautifulSoup
from time import sleep
import csv
import sys
import json
import ssl

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ik = idm.find({}).distinct('id_desa')
key0 = ['Indeks_komposit','Dimensi','skor','Nilai','Perangkat_Indikator','skor_1','Nilai_1','Indikator_peritem','skor_2','kosong','eksisting_dari_indikator_umum','Kewenangan_pusat','Kewenangan_provinsi','Kewenangan_kabupaten','Kewenangan_desa','Kewenangan_sosial_alami']
for u in idmy.find({},{'_id':0}): #sort descending
	if u['id_desa'] not in ik :
		print('mengunduh %s' % u['detail'])
		url0 = root+u['detail'].split('"')[1]
		n=ambil(url)
		kkk=[]
		try:
			for i in n.findAll('div',{'class':'row'})[1].findAll('tr')[2:]:

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#sae

wilayah<-podes[,c(1:9)]
head(wilayah)
str_to_lower(wilayah$R103N)
str_replace(str_to_lower(wilayah$R103N),' ','')
wilayah$kec<-str_replace(str_to_lower(wilayah$R103N),' ','')
sek_desa<-sek_desa
sekdesa<-sek_desa
sekdesa$kec <- gsub(' ','',str_replace(str_to_lower(sekdesa$Kecamatan),'kec. ',''))