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ANALISIS PENYEBARAN KASUS COVID-19 MENGGUNAKAN GRAPH SIGNAL PROCESSING: STUDY KASUS DI KOTA KUPANG, INDONESIA Maggang, Amin Ajaib; Manu, Sarlince O.; Manafe, Beby H. A.; Bowakh, Johanis F. M.
Jurnal Media Elektro Vol 12 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v12i2.12763

Abstract

To provide information on the spread of Covid-19 cases, the Kupang City government, East Nusa Tenggara province, has created a map of the spreading pattern of Covid-19 cases on the website of Kupang City. However, similar to most maps, it only provides information on the number of daily cases. Information such as a high-risk sub district or an outbreak sub-district has yet to be recorded on the web page. Therefore, this research aimed to analyse the spread of Covid-19 cases to obtain more critical information about its contagious pattern. This research used the Graph Signal Processing (GSP) techniques to analyse the spread of covid-19 cases with respect to the underlying graph structure of 51 sub-districts in Kupang City. Unlike other data analysis methods, GSP can process data by considering the relationship between objects, such as the distance between sub-districts. The data used in this research was the number of Covid-19 cases recorded in the sixth of March 2021. The results showed that GSP can capture the contagious pattern of Covid-19 cases in Kupang City by identifying sub-districts at risk of experiencing a spike in cases, such as the Nunleu sub-district, and the Airnona sub-district as the sources of outbreaks
Digitizing Cultural Heritage: Augmented Reality for Education and Visualization of Local Wisdom in Ikat Woven Fashion Weo, Napsiyana Asti; Selan, Rima N.; Ada Manu, Ariency Kale; Manu, Sarlince O.; Fathurrahmaniah, Fathurrahmaniah
Abdi Masyarakat Vol 7, No 2 (2025): Abdi Masyarakat
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/abdi.v7i2.9876

Abstract

The ikat woven fabric of East Nusa Tenggara (NTT) represents one of Indonesia’s intangible cultural heritages, rich in philosophical values, symbolism, and local wisdom. Rumah Tenun Ina Ndao in Kupang City plays a significant role in preserving and promoting ikat weaving traditions; however, it continues to face challenges in cultural education and market expansion. Conventional educational methods and suboptimal marketing strategies have made information about the meanings of motifs, philosophies, and production processes of ikat fabrics less accessible to the public.This Community Partnership Program (PKM) offers an innovative solution through the application of Augmented Reality (AR) technology based on QR Codes, utilizing the MyWebAR web platform. The AR technology provides an interactive visual experience through 3D objects, animations, and audio to convey the meanings and philosophies of ikat motifs from various regions of NTT, as well as the traditional weaving processes embedded with cultural values.The implementation methods include socialization, training, technology application, mentoring, and continuous evaluation. Consumers who scan the QR Code on products or promotional media gain an engaging educational experience—allowing them to view the motifs, understand the stories behind them, and virtually witness the weaving process. This enhances both cultural appreciation and consumer interest.The expected outcomes of this program include increasing public knowledge of local cultural heritage, strengthening the marketing of ikat woven products in local and global markets, and preserving NTT’s cultural legacy. The program outputs consist of scientific publications, mass media publications, and documentary videos to support the promotion and cultural education of NTT ikat weaving in a broader and more sustainable manner.