41 to 50 of 53 Results
Mar 22, 2022 - Dedy Rahman Wijaya Dataverse
Wijaya, Dedy Rahman, 2022, "Replication Data for: Dataset for electronic nose from various beef cuts", https://doi.org/10.34820/FK2/PVWSJ0, Telkom University Dataverse, V1, UNF:6:No58kRV750tHzYIbDqt7Gw== [fileUNF]
This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat. The process of beef spoilage is recorded using 11 Meta... |
Mar 17, 2022 - CANDIWAN CANDIWAN Dataverse
CANDIWAN, CANDIWAN, 2022, "Information Security Awareness Pada Pengguna Layanan Telehealth", https://doi.org/10.34820/FK2/FH8FPA, Telkom University Dataverse, V1
Data used in our paper with the title : Information Security Awareness on Telehealth Service Users |
Mar 17, 2022 - CANDIWAN CANDIWAN Dataverse
CANDIWAN, CANDIWAN, 2022, "PENGARUH DIMENSI SMART ECONOMY TERHADAP MINAT TINGGAL MASYARAKAT USIA PRODUKTIF (STUDI KASUS SMART CITY DI KOTA DENPASAR)", https://doi.org/10.34820/FK2/E8UFIW, Telkom University Dataverse, V1
This data related to our research with title : The Influence of Smart Economy Dimensions on Living Interest In Productive Age Communities (Case Study of Smart City In Denpasar City) |
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. |
Mar 5, 2022 - Ade Romadhony Dataverse
Romadhony, Ade, 2022, "Indonesian Online News Comment: Abusive Text Identification", https://doi.org/10.34820/FK2/DQEVRR, Telkom University Dataverse, V1, UNF:6:FL7AmAWefBkzMld2oMk8RA== [fileUNF]
This dataset consists of comments that are in some of the top news stories in 2019. comments obtained from the kompas, kaskus, and detik. The labeling process is carried out by 10 people and each comment was labeled by 3 annotators. Each comment is labeled with: 1: 'not abusive'... |
Mar 4, 2022 - Ade Romadhony Dataverse
Romadhony, Ade, 2022, "Aspect Based Sentiment Analysis - Indonesian Restaurant Review", https://doi.org/10.34820/FK2/UVHF0F, Telkom University Dataverse, V1, UNF:6:iWiGcMePR7+7K8N5tEGWKQ== [fileUNF]
The dataset used in Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews paper, by Rachmansyah Adhi Widhianto and Ade Romadhony. |
Mar 4, 2022 - AJI GAUTAMA PUTRADA Dataverse
GAUTAMA PUTRADA, AJI, 2022, "Smart Lighting", https://doi.org/10.34820/FK2/8BXAYW, Telkom University Dataverse, V1, UNF:6:BvauYLl2J1NIhdE3B439fw== [fileUNF]
dataset pergerakan untuk training klasifikasi untuk kendali smart lighting |
Jan 31, 2022 - Islamic Corpus
Adiwijaya, Adiwijaya; Said Al Faraby; Mohamad Syahrul Mubarok, 2022, "Indonesian Translation of the Holy Quran (Multi-label)", https://doi.org/10.34820/FK2/XQCNPN, Telkom University Dataverse, V1, UNF:6:uzuQF/bh/4QqWJHLpb7tOA== [fileUNF]
This dataset contains the Indonesian translation of the Al-Quran in the text representation. Each text in the dataset has been categorized into Arkanul Islam, Iman, Al-Qur'an, Science, Amal, Dakwah, Jihad, Human and Community relations, Akhlak, Rules relating to property, Matters... |
Jan 31, 2022 - Islamic Corpus
Adiwijaya, Adiwijaya; Said Al Faraby; Mohamad Syahrul Mubarok; Mahendra Dwifebri Purbolaksono, 2022, "Indonesian Translation of the Hadith of Bukhari (Single-label)", https://doi.org/10.34820/FK2/GWSEWB, Telkom University Dataverse, V1, UNF:6:P7HgGoiV1wK6ZSrMaSQSnA== [fileUNF]
This dataset contains the Indonesian translation of the hadith of Bukhari in the text representation. Each text in the dataset has been categorized into Anjuran (suggestion), Larangan (prohibition), or Informasi (information) classes, which are validated by a hadith expert. |