Rekap Nilai Data Mining 2022-1

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P
1	NO.	NIM	Tugas1	Tugas2	Tugas3	Tugas4	Tugas5	Tugas6	UTS	Tugas7	Tugas8	Tugas9	Tugas10	Tugas11	Tugas12	UAS
2	1	2020133001	98	94	63	55	97	90	64	82	50	100	90	75	0
3	2	2020133002	61	96	82	73	94	97	100	85	100	100	90	75	0
4	3	2020133003	98	99	100	49	97	97	90	0	96	100	96	85	90
5	4	2020133004	94	95	85	61	96	97	80	79	50	100	96	85	90
6	5	2020133005	94	94	93	73	97	97	100	89	100	100	96	85	90
7	6	2020133006	98	97	100	82	100	90	86	97	100	100	100	100	98
8	7	2020133007	0	0	0	0	0	97	0	0	0
9	8	2020133008	68	90	94	77	40	90	95	75	100	100	100	100	98
10	9	2020133009	98	92	95	62	97	90	67	89	50	100	90	75	0
11	10	2020133010	92	95	93	82	60	90	87	95	94	100	100	100	98
12	Rata-rata		80,10	85,20	80,50	61,40	77,80	93,50	76,90	69,10	74,00	100,00	95,33	86,67	62,67	#DIV/0!
13	Standar Deviasi		31,16	30,04	30,32	24,33	33,93	3,69	29,70	37,03	34,63	0,00	4,36	10,90	47,13	#DIV/0!
14	MIN		0	0	0	0	0	90	0	0	0	100	90	75	0	0
15	MAX		98	99	100	82	100	97	100	97	100	100	100	100	98	0
16
17			Nama Tugas				Bobot Nilai
18		T1	Pengenalan R				Tugas:	30%
19		T2	Visualisasi data				UTS:	30%
20		T3	Representasi Data Frame				UAS:	40%
21		T4	Analisa Sebaran Data
22		T5	Prediksi Regresi Linear				Batas Nilai Huruf
23		T6	Klasifikasi Citra				A:	86-100
24		T7	Data Preprocessing				AB:	78-85,9
25		T8	Text Mining				B:	71-77,9
26		T9	Tugas proyek 1: Business Understanding, Data Gathering				BC:	63-70,9
27		T10	Tugas proyek 2: Data Importing, Storytelling Hasil				C:	56-62,9
28		T11	Tugas Proyek 3: Storytelling latar belakang, metode, hasil program				D:	46-55,9
29		T12	Tugas Proyek 4: Kesimpulan dan Abstrak
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