Lat = row[1]
Lon = row[2]
Name = row[3]
Al = row[4]
Sk = row[5]
Dc = row[6]
Acc = row[7]
Prc = row[8]
Oa = row[9]
Os = row[10]
hasil = []
recomendName = []
recomendScore = []
normal.append([
Id, Lat, Lon, Name, Al / DBManager.ColoumAverage(cursor, 4),
Sk / DBManager.ColoumAverage(cursor, 5),
Dc / DBManager.ColoumAverage(cursor, 6),
Acc / DBManager.ColoumAverage(cursor, 7),
Prc / DBManager.ColoumAverage(cursor, 8),
Oa / DBManager.ColoumAverage(cursor, 9),
Os / DBManager.ColoumAverage(cursor, 10)
])
for Id, Lat, Lon, Name, Al, Sk, Dc, Acc, Prc, Oa, Os in normal:
berbobot.append([
Id, Lat, Lon, Name, Al * bobotAl, Sk * bobotSk, Dc * bobotDc,
Acc * bobotAcc, Prc * bobotPrc, Oa * bobotOa, Os * bobotOs
])
for Id, Lat, Lon, Name, Al, Sk, Dc, Acc, Prc, Oa, Os in berbobot:
