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Retno Wulan Damayanti
Researcher at Sebelas Maret University
Publications - 46
Citations - 80
Retno Wulan Damayanti is an academic researcher from Sebelas Maret University. The author has contributed to research in topics: Computer science & Megaproject. The author has an hindex of 4, co-authored 29 publications receiving 45 citations. Previous affiliations of Retno Wulan Damayanti include Gadjah Mada University.
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Dissertation
Pengembangan Alat Pemotong Kunyit untuk Simplisia di Klaster Biofarmaka Karanaganyar
TL;DR: Klaster Biofarmaka merupakan kumpulan kelompok tani ying membudidayakan and mengolah tanaman obat.
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Program kemitraan masyarakat industri furniture ud mella kreasi melalui digitalisasi manajemen persediaan bahan baku
Retno Wulan Damayanti,Pringgo Widyo Laksono,Cucuk Nur Rosyidi,Eko Pujiyanto,Wakhid Ahmad Jauhari,Yoshan Ardhi Pratama +5 more
TL;DR: In this article , aplikasi AirTable cloud, yaitu software open-source yang potensial dipergunakan sebagai sistem pencatatan persediaan berbasis cloud computing.
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The Effect of SNI 6729 : 2016 on Organic Vegetables Purchase Intention and Purchase Behavior (Case Study : PT Rumah Roti Indonesia)
TL;DR: In this article , the authors analyzed the effect of certified organic vegetables on the purchase intention and purchase behavior of organic vegetables in Indonesia and found that perceived behavioral control, subjective norms, and perceived quality have a significant effect on purchase intention in organic vegetables.
Proceedings ArticleDOI
Factors Combination Affecting Borobudur Temple Visitor’s Satisfaction in Indonesia during Covid-19 Pandemic and New Normal Era
TL;DR: In this paper , the authors explored the factors that affect visitor's satisfaction in order to improve the tourism service quality in Borobudur Temple during the Covid-19 pandemic and the new normal era.
Proceedings ArticleDOI
Literature review of the Internet Provider Service Quality based on Sentiment Analysis
TL;DR: In this paper , a literature exploration from previous research was conducted to identify whether using text mining and sentiment analysis to measure the service quality provided by ISP company is possible to do, and six papers were then reviewed.