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491 to 500 of 506 Results
Mar 17, 2022 - ISMUDIATI PURI HANDAYANI. Dataverse
PURI HANDAYANI., ISMUDIATI, 2022, "Uniaxial strain-induced electronic property alterations of MoS2 monolayer", https://doi.org/10.34820/FK2/WR6MAO, Telkom University Dataverse, V1
The MoS2 has attached interest due to its strained tuned electronic and optical properties which open promising application in strain engineering devices. In this study, we investigate the uniaxial strain effect on the electronic properties of MoS2 monolayer by first-principles c...
Mar 16, 2022 - Hilfan Soeltansyah
Telkom University, HILFAN SOELTANSYAH, 2022, "Subdomain Website Telkom University", https://doi.org/10.34820/FK2/VNPSTZ, Telkom University Dataverse, V1, UNF:6:pCJ+sDCepW8a7e7wfWIwNg== [fileUNF]
Data subdomain website di Telkom University, Semua unit kegitan bahkan hingga UKM mahasiswa perlu diberikan wadah promosi yaitu berupa website, agar seluruh kegitan bersangkutan tercatat, bisa jadi ajang branding meningkatkan anggota civitas academica, laporan akreditasi, dan bra...
Mar 15, 2022 - Nur Arief Hapsoro Shelter Sepeda Dataverse
Hapsoro, Nur Arief, 2022, "Nur Arief Hapsoro Shelter Sepeda Dataverse", https://doi.org/10.34820/FK2/ZYVMWD, Telkom University Dataverse, V1
foto survey shelter sepeda di Alun-alun Bandung.
Mar 11, 2022 - IRA WIRASARI Dataverse
WIRASARI, IRA, 2022, "“TJAP GO MEH” INTRODUCTION OF ACCULTURATION AS MUTUAL RESPECT FOR SOCIETY", https://doi.org/10.34820/FK2/QEYU5Z, Telkom University Dataverse, V3
Lontong Tjap Go Meh is one of the most popular Chinese half-state dishes in Indonesia. Initially, this dish was served at the Tjap Go Meh celebration, which is the celebration of the fifteenth day of the Chinese new year. In further developments, we can enjoy this dish every day....
Mar 11, 2022 - INDIRA RACHMAWATI Dataverse
RACHMAWATI, INDIRA, 2022, "PENGARUH PEMASARAN JEJARING MEDIA SOSIAL DAN KETERIKATAN KONSUMEN TERHADAP NIAT BELI KONSUMEN DISNEY PLUS HOTSTAR DI INDONESIA (STUDI PADA YOUTUBE DAN INSTAGRAM)", https://doi.org/10.34820/FK2/YMTLE5, Telkom University Dataverse, V2
The entertainment industry has just launched Disney Plus Hotstar in early September 2020 and started its marketing on social media Youtube and Instagram. This study aims to determine the effect of social media marketing Youtube and Instagram on the purchase intention of Disney Pl...
Mar 11, 2022 - INDIRA RACHMAWATI Dataverse
RACHMAWATI, INDIRA, 2022, "PENGARUH KEPUASAN PENGGUNAAN APLIKASI ZOOM DALAM PEMBELAJARAN MAHASISWA BERBASIS ONLINE DIMASA PANDEMI COVID 19 MENGGUNAKAN WEBQUAL 4.0 (STUDI PADA MAHASISWA TELKOM UNIVERSITY)", https://doi.org/10.34820/FK2/T0EBX1, Telkom University Dataverse, V1
Penelitian ini memiliki tujuan untuk mengetahui Kepuasan Penggunaan Aplikasi Zoom Dalam Pembelajaran Mahasiswa Berbasis Online Dimasa Pandemi Covid 19 Menggunakan Webqual 4.0 Pada Mahasiswa Universita Telkom. . Dalam Penelitian menggunakan metode kuantitatif dan melakukan penguku...
Mar 9, 2022 - ARDY APRILIAN ANWAR Dataverse percobaan
APRILIAN ANWAR, ARDY, 2022, "Replication Data for: Perkuliahan Desain Audio", https://doi.org/10.34820/FK2/CJ2Q5J, Telkom University Dataverse, V1
Audio Recording, Editing, Mixing, Mastering, Post-Production
Mar 8, 2022 - HILAL HUDAN NUHA Dataverse
HUDAN NUHA, HILAL, 2022, "ws prediction", https://doi.org/10.34820/FK2/0YKDRY, Telkom University Dataverse, V1, UNF:6:/2Xe+nw7rIOMS9x5OVX9zA== [fileUNF]
ws prediction
Mar 7, 2022 - CANDIWAN CANDIWAN Dataverse
CANDIWAN, CANDIWAN, 2022, "Information Security Assessment on Court Tracking Information System: A Case Study from Mataram District Court", https://doi.org/10.34820/FK2/I9VOJC, Telkom University Dataverse, V1
This data has relation with our paper : Information Security Assessment On Court Tracking Information System: A Case Study from Mataram District Court
Mar 6, 2022 - Mahendra's Dataset
Purbolaksono, Mahendra Dwifebri; Adiwijaya; Said Al Faraby, 2022, "Beauty Product Review", https://doi.org/10.34820/FK2/NAZYE1, Telkom University Dataverse, V1, UNF:6:3WcQ72ieFP5SlXmF9IPVZA== [fileUNF]
This dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.
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