Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan

PROSES KOTA DENPASAR MENUJU SMART CITY I Made Satya Graha
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 4 No 2 (2021): Vol. 4 No. 2, Mei 2021
Publisher : Badan Perencanaan Pembangunan Daerah, Penelitian dan Pengembangan Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v4i2.125

Abstract

Cities in Indonesia are currently developing smart cities. Denpasar City can be the best practice of developing a smart city in Indonesia. This study aims to determine the processes and factors that influence the process of Denpasar City in achieving the first rank of the smart city. This research uses a qualitative inductive approach with a case study strategy. The results of this study reveal that there are three stages by the City of Denpasar in achieving the first rank of smart city, namely stage I of ICT development, phase II of community development and the presence of PRO Denpasar, stage III of the innovation-oriented smart city. This study also found that Denpasar City developed two new dimensions, namely smart philosophy and smart creativity. The two new dimensions are not found in the theory or development of smart cities in other cities.
PEMANTAUAN PERTUMBUHAN PADI MENGGUNAKAN CITRA SATELIT LANDSAT 8 I Made Satya Graha; Made Arya Bhaskara Putra
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 6 No 1 (2022): Vol. 6 No. 1, November 2022
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v6i1.316

Abstract

This study aims to determine the relationship between rice growth parameters and vegetation index data from Landsat 8 satellite imagery. This study was conducted for six months and is located in Klungkung Regency. Each vegetation index was then associated with rice growth data. The results showed that the growth pattern of rice followed a parabolic curve whose shape was influenced by the growth parameters. There is a close relationship between the rice growth parameters and the vegetation index value. The vegetation index, which closely relates to all rice growth parameters, is RGVI, IPVI, and TVI, with an average R2 value of 0, respectively. .9328, 0.9066, and 0.8862, and the average SE values were 0.0637, 0.0872, and 2.2071, respectively. Each vegetation index has its advantages in predicting and determining the parameters of rice growth, including; (a) NDVI and DVI are suitable for estimating the age of rice, (b) RVI and TVI are suitable for estimating land cover by rice, (c) IPVI is suitable for estimating leaf chlorophyll values, (d) SAVI and MSAVI are suitable for use to estimate the height of rice, and (e) RGVI is suitable for estimating the number of clumps of rice.