1 to 5 of 5 Results
Oct 28, 2024
Rizal, Achmad; Erfianto, Bayu; Hadiyoso, Sugondo; Istiqomah, Istiqomah, 2024, "Sit-To Stand Video with Landmark Dataset", https://doi.org/10.34820/FK2/VAEGNR, Telkom University Dataverse, V1
The following is a video data collection on healthy subjects' sit-to-stand transition (STS). Each subject consists of 2 videos, namely the subject before and after the exercise. It is expected that after doing the exercise, the subject will experience fatigue in his knees so that... |
Oct 5, 2023 - HILMAN DWI ANGGANA Dataverse
ANGGANA, HILMAN DWI, 2023, "Pemdelan Difteri dengan Teknik Klasifikasi", https://doi.org/10.34820/FK2/T155XJ, Telkom University Dataverse, V1
Penelitian tentang pemodelan kasus Diteri menggunakan teknik klasifikasi |
Oct 2, 2023
Hutami, Rr Rieka F; Dewi, Tisa Kartika, 2023, "Inventory Control with Periodic Review System Method (Case study of Consumable Raw Materials in XYZ Laboratory)", https://doi.org/10.34820/FK2/HZJZCD, Telkom University Dataverse, V1, UNF:6:/PYU9XBabTsPzlnl0DAd9g== [fileUNF]
Data is analysed using quantitative approaches, although interviews and documents are also being used in the preliminary stage. Interviewing the owners and managers of XYZ Laboratory to know the procurement process. Meanwhile, quantitative approach carried out by calculating the... |
Oct 2, 2023 - Muhammad ilham alhari Dataverse
ilham alhari, Muhammad; Muharman Lubis, 2023, "Data Prevalensi Balita Stunting Kecamatan Mondokan, Kabupaten Sragen", https://doi.org/10.34820/FK2/ZGJCIJ, Telkom University Dataverse, V1, UNF:6:AzHJ76jj4o/6Zs8udqANAw== [fileUNF]
Data Pengukuran Prevalensi Balita Stunting Kecamatan Mondokan, Kabupaten Sragen |
Mar 4, 2021 - UNTARI NOVIA WISESTY Dataverse
Adiwijaya; NOVIA WISESTY, UNTARI; Widi Astuti, 2021, "Polycystic Ovary Ultrasound Images Dataset", https://doi.org/10.34820/FK2/QVCP6V, Telkom University Dataverse, V1
This dataset contains ultrasound images of patients suffering from Polycystic Ovary Syndrome (PCOS) and normal patients. Each image in the dataset has been categorized into PCOS and Normal classes, which are annotations from specialist doctors. |