Telkom University Dataverse

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7,581 to 7,590 of 12,931 Results

Korpus Paralel Sunda Indonesia_su.txt Apr 13, 2022 - Sundanese-Indonesian Parallel Corpus Plain Text - 453.0 KB - MD5: 315a6b99de03a4d4b8094e41a8434594
Korpus Monolingual Sunda dengan label Part of Speech.txt Apr 13, 2022 - PoSTagged Sundanese Monolingual Corpus Plain Text - 699.9 KB - MD5: affb7f5345f08e237dcd7b8375ad7bfd
ARIE ARDIYANTI SURYANI Dataverse(Fakultas Informatika, Data Science) Apr 13, 2022
Summary of 2018 to 2020 data.xlsx Apr 12, 2022 - Jakarta Capital Special Region Air Pollution Index 2018-2020 MS Excel Spreadsheet - 84.6 KB - MD5: ac000809898564f7f34bab4956aa9a90 Dataset for Air Pollution Index 2018-2020 in Jakarta Capital Special Region
Prafajar Suksessanno Muttaqin Dataverse(FRI - KK EINS) Apr 12, 2022
Business Model Canvas kembaliin app.png Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found PNG Image - 840.9 KB - MD5: aa45c1d757e9a7af3a369d0bdd8c3363 BMC (Business Model Canvas) of Kembaliin Apps
Kembaliin Hooked Model.png Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found PNG Image - 231.9 KB - MD5: 87cc5011ff8b522cca03c908ce2855f7 The Hooked Model / Hook Model of Kembaliin
Value Propositions Canvas kembaliin app.png Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found PNG Image - 741.3 KB - MD5: 66e5cf60cef546832cf8c55ac53b40f0 VP (Value Propositions) of Kembaliin Apps
ARIA AR RAZI Dataverse(Telkom University) Apr 12, 2022 Journal Abstract - “Kembaliin” is a mobile application specifically designed to assist urban communities in solving problems of lost and found items in public places online. The design model of application functions as an intermediary media and liaison in facilitating the need fo...
A_07.jpg Apr 12, 2022 - Dataset Telur Ayam Negeri secara Invasive JPEG Image - 1.1 MB - MD5: 4209043cfa24545fb5f09bf90912ab9d

Korpus Paralel Sunda Indonesia_su.txt

Apr 13, 2022 - Sundanese-Indonesian Parallel Corpus

Plain Text - 453.0 KB - MD5: 315a6b99de03a4d4b8094e41a8434594

Korpus Monolingual Sunda dengan label Part of Speech.txt

Apr 13, 2022 - PoSTagged Sundanese Monolingual Corpus

Plain Text - 699.9 KB - MD5: affb7f5345f08e237dcd7b8375ad7bfd

ARIE ARDIYANTI SURYANI Dataverse(Fakultas Informatika, Data Science)

Apr 13, 2022

Summary of 2018 to 2020 data.xlsx

Apr 12, 2022 - Jakarta Capital Special Region Air Pollution Index 2018-2020

MS Excel Spreadsheet - 84.6 KB - MD5: ac000809898564f7f34bab4956aa9a90

Dataset for Air Pollution Index 2018-2020 in Jakarta Capital Special Region

Prafajar Suksessanno Muttaqin Dataverse(FRI - KK EINS)

Apr 12, 2022

Business Model Canvas kembaliin app.png

Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found

PNG Image - 840.9 KB - MD5: aa45c1d757e9a7af3a369d0bdd8c3363

BMC (Business Model Canvas) of Kembaliin Apps

Kembaliin Hooked Model.png

Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found

PNG Image - 231.9 KB - MD5: 87cc5011ff8b522cca03c908ce2855f7

The Hooked Model / Hook Model of Kembaliin

Value Propositions Canvas kembaliin app.png

Apr 12, 2022 - The Hooked Model as Communication Strategy of “Kembaliin” App as an Information Media for Handling Lost and Found

PNG Image - 741.3 KB - MD5: 66e5cf60cef546832cf8c55ac53b40f0

VP (Value Propositions) of Kembaliin Apps

ARIA AR RAZI Dataverse(Telkom University)

Apr 12, 2022

Journal Abstract - “Kembaliin” is a mobile application specifically designed to assist urban communities in solving problems of lost and found items in public places online. The design model of application functions as an intermediary media and liaison in facilitating the need fo...

A_07.jpg

Apr 12, 2022 - Dataset Telur Ayam Negeri secara Invasive

JPEG Image - 1.1 MB - MD5: 4209043cfa24545fb5f09bf90912ab9d

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