• Tidak ada hasil yang ditemukan

NILAI STAT KOMP KLAS G SM GENAP 2013 2014 Ani

N/A
N/A
Protected

Academic year: 2017

Membagikan "NILAI STAT KOMP KLAS G SM GENAP 2013 2014 Ani"

Copied!
1
0
0

Teks penuh

(1)

NILAI MK STATISTIKA DAN KOMPUTASI FTP-UB KLAS G SEM GENAP 2013/2014

No Induk Nama TGS I TGS II QUIZ I QUIZ II PRAKT I PRAKT II UTS UAS NA NH

135100100111001 RIZQA NUR PRADINI 90 85 85 75 75 80 86 81 81,73 A

135100100111003 WIWIT MARIANA 90 90 80 75 90 95 95 88 91,03 A

135100100111004 GABY NOVITALIA PUTRI 90 85 80 90 85 80 83 80 82,28 A

135100100111005 NOVTI SUCITRA 90 90 60 85 90 80 97 95 91,23 A

135100100111007 DELLA PUTRI ARUMSARI 90 80 65 75 90 90 95 79 86,95 A

135100100111009 MIRZA ROSE TAZKIYA 90 85 85 80 85 95 95 93 91,90 A

135100100111015 BAGAS ARYO SASONGKO 90 65 75 80 85 88 78 91 84,40 A

135100100111019 HASNA NADHIROH 90 70 85 80 75 85 45 55 62,13 C+

135100100111021 ELITA SANDYARTA 90 90 65 80 75 90 78 93 84,18 A

135100100111025 AMALIA RINDY SOFIA 90 75 85 75 70 88 74 95 82,53 A

135100100111027 DIAN AZALIA 90 70 85 90 90 95 82 90 87,73 A

135100100111029 YOVITA MAYA V A 90 80 80 80 85 85 83 94 86,85 A

135100100111031 RIZKA YULIA WINDARI 90 80 85 75 80 95 91 84 87,00 A

135100100111033 GHUFRAN MAULUDI 90 75 75 90 80 75 65 30 60,00 C+

135100100111035 FIKRIYATUL HANIFA 90 75 85 80 90 90 58 77 75,75 B+

135100100111037 WIDANTI AMANDA P 90 85 75 90 90 80 97 94 91,30 A

135100100111043 MUHAMMAD FITRI AJI N 90 80 85 75 90 80 77 62 75,45 B+

135100100111045 YOSE IMRI SIAGIAN 90 80 85 85 80 90 82 37 69,70 B

135100100111047 HERNI DWI KRISTANTI 90 90 80 90 85 90 93 95 91,40 A

135100100111051 AFIFAH 90 60 60 90 90 80 45 79 70,20 B

135100101111003 ANNISA AYU PRATIWI 90 90 80 85 90 90 89 93 90,23 A

135100101111005 RULYTA APRITA SARI 90 85 65 75 90 85 68 63 73,43 B

135100101111011 NILTA SHABRINAL ITSNANI 90 80 75 90 85 95 92 93 90,88 A

135100101111013 FATIMAH MOHAMMAD 90 65 85 85 85 90 96 88 89,58 A

135100101111015 PINGKY PUTRI ERNES 90 85 85 75 85 85 57 75 73,48 B

135100101111017 EKA FAJARWATI 90 90 75 90 90 80 85 57 76,73 B+

135100101111019 PUTRI SATIKA DEWI 90 90 75 85 80 80 68 45 66,40 C+

135100101111021 INMAS PUTRI RAHMAWATI 90 80 65 90 90 90 91 95 90,93 A

135100101111023 ROSVITA MARSELA LINDIANI 90 65 70 90 80 95 98 95 92,03 A

135100101111026 ELINA JANUARNI 90 85 75 85 75 90 88 93 87,43 A

135100101111029 TRIANA REBECCA TAMPUBOLON 90 80 75 80 85 85 92 95 89,73 A 135100101111035 MARIA PUTRI AGUNG DAYA RAMANDA 90 70 80 70 80 85 78 92 83,50 A

135100101111037 KURNIA WULANDARI 90 85 85 85 85 90 85 93 88,28 A

135100101111039 INNA SURYANI 90 75 85 75 90 92 77 95 87,03 A

135100101111041 MAYA PUSPITO NINGRUM 90 80 65 85 90 95 81 90 87,05 A

135100101111042 NIKE NURLAILY FITRIA 90 85 75 90 90 80 80 70 79,00 B+

135100101111043 SULTHAN ALFATHIR 90 85 85 75 90 75 76 78 79,33 B+

135100101111047 MUSTIKA NURIL HANDAYANI 90 75 55 70 90 80 55 51 64,55 C+

135100101111049 YUKE PAMELASARI 90 80 55 70 90 95 68 86 81,33 A

135100101111053 IQBAL RACHMAT FAUZI 90 75 85 90 85 75 45 97 75,10 B+

135100101111055 NUR OKTAVIA SUCI LESTARI 90 85 85 80 90 90 98 95 93,40 A 135100101111059 RATNA PALUPI NURFATIMAH 90 85 85 80 80 90 80 50 73,00 B

135100101111061 MARISA ANGGARA 90 65 85 80 85 95 91 84 87,50 A

135100101111063 DITA PUSPA ARINTA 90 90 75 40 80 90 60 76 73,68 B

135100101111064 FANDHI TRI KURNIAWAN 90 75 65 80 80 70 69 81 75,25 B+

135100101111065 DINAR AYU KUSUMA PRATIWI 90 85 85 90 80 85 63 81 76,70 B+

135100101111066 VELARIDA ESA SAKTI 90 80 75 90 80 80 83 82 81,88 A

135100101111067 WHIMA LESTARI 90 90 75 75 85 80 52 65 68,10 C+

135100101111069 PINTA RAHMA 90 90 75 75 90 90 82 86 85,65 A

Referensi

Dokumen terkait

Penetapan calon yang diterima sebagai mahasiswa baru program alih jenjang pada Jurusan/Program Studi tersebut di atas, dilakukan berdasarkan ketentuan yang

14 RHEZA ARIEF ARDYLLO ROBBY.

Each regression also includes: the metropolitan area’s proportion of labor force in manufacturing, proportion of population that is black, segregation level, and median family

[r]

[r]

[r]

[r]

In this paper, I investigate whether the importance of probability of divorce (divorce-risk) as a factor in women’s labor supply decision has changed across cohorts by comparing