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All Journal Buletin Peternakan Jurnal Teknik Sipil USU Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Peternakan Indonesia International Journal of Remote Sensing and Earth Sciences (IJReSES) SEMAR The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Ratih Dewanti
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Veterinary Other

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A TWO-STEPS RADIOMETRIC CORRECTION OF SPOT-4 MULTISPECTRAL AND MULTITEMPORAL FOR SEAMLESS MOSAIC IN CENTRAL KALIMANTAN . Kustiyo; Ratih Dewanti; Inggit Lolita Sari
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 2 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (996.393 KB) | DOI: 10.30536/j.ijreses.2014.v11.a2607

Abstract

This research analyzed the radiometric correction method using SPOT-4 imageries to produce the same reflectance for the same land cover. Top of Atmosphere (TOA) method was applied in previous radiometric correction approach, this TOA approach was upgraded with the reflectance effect from difference satellite viewing angle. The 250 scene of Central Kalimantan SPOT-4 imageries from 2006 until 2012 with varies viewing angle was used. This research applied two-step approaches, the first step is TOA correction, and the second step is normalization using a linear function of reflectance and satellite viewing angle. Gain and offset coefficient of this linear function was calculated using an iterative approach to producing the same reflectance in the forest area. The target of iterative processed is to minimize the standard deviation of a digital number from a forest area in the selected region. The result shows that the standard deviation of a digital number from a forest area in the two steps approach are 8.6, 16.5, and 16.8 for band 1, band 3 and band 4. These values are smaller compared with the standard deviation of digital number result from TOA approach are 15.0, 28,3 and 34.7 for band 1, band 3 and band 4.  Decreasing the standard deviation shows the homogeneity of forest reflectance that could be seen in the seamless result. This algorithm can be applied for making seamless SPOT-4 mosaic whole of Indonesia.
PENERAPAN TEKNOLOGI PRODUKSI PADA BAKSO ITIK DAN NUGGET SEBAGAI UPAYA PENINGKATAN PENDAPATAN PETANI Dl SRAGEN Ratih Dewanti; Yuli Yanti
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 2, No 2 (2014)
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v2i2.742

Abstract

IBM's activities implemented in Nusupan Wetan, Celep, Kedawung, Sragen with partners "Rejeki Agung" Ducks Farmer Group Suhardi and Women's Group Livestock (KWT) lstinah. The purpose of activities is to improve the income and welfare of farmers through the production of duck meatballs and duck nuggets in vacuum packs and upgrade magerial, financial management (accounting) and marketing. The method used is counseling, mentoring, training, making meatballs and duck nuggets vacuum packaging storage and business management training. Event was attended by 30 participants from Rejeki Agung duck farmer group and KWT In this activity, given 2 meat grinder tool, 1 cooler box, 1 vacuum machine, 1 Rinnai gas stove, gas cylinders and equipment cookware for making meatballs and nuggets. Results showed dedication that these activities can increase the productivity and income of farmers from selling meatballs partners and nuggets compared to only sell in the form of ducks culled. Additionally meatballs skills and nuggets are also improved with refined taste and variation, as well as increased sales and bookings. And the ability to implement marketing strategies in accordance with the state and have made a simple bookkeeping.
Kinerja Reproduksi Ternak Kerbau (Bubalus bubalis) pada Usaha Peternakan Rakyat di Kabupaten Klaten Provinsi Jawa Tengah Faris Tio Kurniawan; Yuli Yanti; Muhammad Cahyadi; Ari Kusuma Wati; Joko Riyanto; Ratih Dewanti; Wari Pawestri
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 25, No 1 (2023): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jpi.25.1.89-97.2023

Abstract

Penelitian ini memberikan informasi mengenai kinerja reproduksi kerbau betina di peternakan rakyat Kabupaten Klaten. Penelitian ini telah dilakukan pada April-September 2021 di Kabupaten Klaten. Pengambilan sampel dilakukan dengan metode purposive sampling. Data penelitian ini diperoleh menggunakan teknik wawancara dan observasi dan studi pustaka. Sampel pada penelitian ini adalah 131 ekor kerbau yang dimiliki oleh 30 peternak. Penelitian ini memiliki 5 variabel yaitu umur pertama kali dikawinkan, lama bunting, estrus pertama setelah melahirkan, kawin pertama setelah melahirkan, dan jarak beranak. Hasil penelitian diperoleh data rata-rata umur pertama kali dikawinkan 2,52±0,33 tahun, lama bunting 315,17±14,17 hari, periode estrus pertama setelah melahirkan 93,33±7,45 hari, periode kawin pertama setelah melahirkan 103,33±7,45 hari, dan jarak beranak 408,17±7,45 hari. Hasil penelitian menunjukkan bahwa kinerja reproduksi kerbau rawa di Kabupaten Klaten tergolong baik.
Reproductive Performance of Buffalo (Bubalus bubalis) in Small Scale Farm in Boyolali Regency Central Java Zahrotul Fitriani; Joko Riyanto; Ratih Dewanti; Muhammad Cahyadi; Ari Kusuma Wati; Wari Pawestri; Yanti, Yuli
Jurnal Ilmu-Ilmu Peternakan Vol. 33 No. 3 (2023): December 2023
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiip.2023.033.03.03

Abstract

This study aimed to determine the reproductive performance of female buffalo in Boyolali Regency, Central Java, Indonesia. The sampling method used was the purposive sampling method. The number of respondents was 30 buffalo farmers with a total sample were 100 female buffalo. Collecting data using interview, observation, and literature study methods and analyzing descriptively. The data that has been obtained is then calculated into percentages, averages, and standard deviations, then analyzed descriptively. Buffalo farmers are rice farmers who are still productive with a dominant age of less than 65 years. The main feed given was rice straw, and 64% of buffalo received additional field grass when grazing. The farming experience of farmers was quite long, which is more than 15 years, and was classified as a small-scale farm with the number of buffalo less than 5 heads. The management system used by buffalo farmers is mostly (90%) semi-intensive. The values of gestation length, postpartum estrus, and postpartum estrus were 308.0±7.4 days, 102.2±6.2 days, and 406.8±8.9 days, respectively. The age of first calving for buffalo in the study in Boyolali Regency was 3.60 ± 0.3 years. This study concluded that the reproductive performance of buffaloes in smallholder farms in Boyolali Regency, Central Java Province was in good condition
BIOMASS ESTIMATION MODEL AND CARBON DIOXIDE SEQUESTRATION FOR MANGROVE FOREST USING SENTINEL-2 IN BENOA BAY, BALI A. A. Md. Ananda Putra Suardana; Nanin Anggraini; Kholifatul Aziz; Muhammad Rizki Nandika; Azura Ulfa; Agung Dwi Wijaya; Abd. Rahman As-syakur; Gathot Winarso; Wiji Prasetio; Ratih Dewanti
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 1 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3797

Abstract

Remote sensing technology can be used to find out the potential of mangrove forests information. One of the potentials is to be able to absorb three times more CO2 than other forests. CO2 absorbed during the photosynthesis process, produces organic compounds that are stored in the mangrove forest biomass. Utilization of remote sensing technology is able to detect mangrove forest biomass using the density level of the vegetation index. This study focuses on determining the best AGB model based on the vegetation index and the ability of mangrove forests to absorb CO2. This research was conducted in Benoa Bay, Bali Province, Indonesia. The satellite image used is Sentinel-2. Classification of mangroves and non-mangroves using a multivariate random forest algorithm. Furthermore, the mangrove forest biomass model using a semi-empirical approach, while the estimation of CO2 sequestration using allometric equations. Mean Absolute Error (MAE) is used to evaluate the validation of the model results. The classification results showed that the detected area of Benoa Bay mangrove forest reached 1134 ha (OA: 0.98, kappa: 0.95). The best AGB estimation result is the DVI-based AGB model (MAE: 23,525) with a value range of 0 to 468.38 Mg/ha. DVI-based AGB derivatives are BGB with a value range of 0 to 79.425 Mg/ha, TAB with a value range of 0 to 547.8 Mg/ha, TCS with a value range of 0 to 257.47 Mg/ha, and ACS with a value range of 0 to 944.912 Mg/ha.
DETECTION OF FOREST FIRE, SMOKE SOURCE LOCATIONS IN KALIMANTAN DURING THE DRY SEASON FOR THE YEAR 2015 USING LANDSAT 8 FROM THE THRESHOLD OF BRIGHTNESS TEMPERATURE ALGORITHM Kustiyo; Ratih Dewanti; Inggit Lolitasari
International Journal of Remote Sensing and Earth Sciences Vol. 12 No. 2 (2015)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2015.v12.a2692

Abstract

Almost every dry season, there are large forest/land fires in several regions in Indonesia, especially in Kalimantan and Sumatra in the dry season of August to September 2015 a forest fire in 6 provinces namely West Kalimantan, Central Kalimantan, South Kalimantan, Riau, Jambi, and South Sumatra. Even some parties proposed that the Government of Indonesia declares them as a national disaster. The low-resolution remote sensing data have been widely used for monitoring the occurrence of forest/land fires (hotspots), and mapping of burnt scars. The hotspot detection was done by utilizing the data of NOAA-AVHRR and MODIS data which have a lower spatial resolution (1 km). In order to increase the level of detail and accuracy of product information, this research is done by using Landsat 8 TIRS (Thermal Infrared Sensor) band which has a greater spatial resolution of 100 m. The purpose of this research is to find and to determine the threshold value of the brightness temperature of the TIRS data to identify the source of fire smoke. The data used is the Landsat 8 of several parts of Borneo during the period of 24 August to 18 September 2015 recorded by the LAPAN's receiving station. Landsat - 8 TIRS band was converted into brightness temperature in degrees Celsius, then dots in a region that is considered the source of the smoke if the temperature of each pixel in the region > 43oC, and given the attributes with the highest temperatures of the pixels in the region. The source of the smoke was obtained through visual interpretation of the objects in the multispectral Natural Color Composite (NCC) and True Color Composite (TCC) images. Analysis of errors (commission error) is obtained by comparing the temperature detected by TIRS band with a visual appearance of the source of the smoke. The result of the experiment showed that there were detected 9 scenes with high temperatures over 43oC from the 27 scenes Kalimantan Landsat 8 data, which include 153 sites. The accuracy (commission error) of identification results using temperature ≥ 51°C is 0%, temperature ≥ 47°C is 10%, and temperature ≥ 43°C is 30.5%.
A TWO-STEPS RADIOMETRIC CORRECTION OF SPOT-4 MULTISPECTRAL AND MULTITEMPORAL FOR SEAMLESS MOSAIC IN CENTRAL KALIMANTAN Kustiyo; Ratih Dewanti; Inggit Lolita Sari
International Journal of Remote Sensing and Earth Sciences Vol. 11 No. 2 (2014)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2014.v11.a2607

Abstract

This research analyzed the radiometric correction method using SPOT-4 imageries to produce the same reflectance for the same land cover. Top of Atmosphere (TOA) method was applied in previous radiometric correction approach, this TOA approach was upgraded with the reflectance effect from difference satellite viewing angle. The 250 scene of Central Kalimantan SPOT-4 imageries from 2006 until 2012 with varies viewing angle was used. This research applied two-step approaches, the first step is TOA correction, and the second step is normalization using a linear function of reflectance and satellite viewing angle. Gain and offset coefficient of this linear function was calculated using an iterative approach to producing the same reflectance in the forest area. The target of iterative processed is to minimize the standard deviation of a digital number from a forest area in the selected region. The result shows that the standard deviation of a digital number from a forest area in the two steps approach are 8.6, 16.5, and 16.8 for band 1, band 3 and band 4. These values are smaller compared with the standard deviation of digital number result from TOA approach are 15.0, 28,3 and 34.7 for band 1, band 3 and band 4. Decreasing the standard deviation shows the homogeneity of forest reflectance that could be seen in the seamless result. This algorithm can be applied for making seamless SPOT-4 mosaic whole of Indonesia.
POLARIMETRIC-SAR CLASSIFICATION USING FUZZY MAXIMUM LIKEHOOD ESTIMATION CLUSTERING WITH CONSIDERATION OF COMPLEMENTARY INFORMATION BASED ON PHYSICAL POLARIMETRIC PARAMETERS, TARGET SCATTERING CHARACTERISTIK, AND SPATIAL CONTEXT KATMOKO ARI SAMBODO; ANIATI MURNl; RATIH DEWANTI; MAHDI KARTASASMITA
International Journal of Remote Sensing and Earth Sciences Vol. 5 (2008)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2008.v5.a1225

Abstract

This paper shows a study on an alternative method for unsupervised classification of polarimetric-Syenthetic Aperture Radar (SAR) data. The first step was to extract several main physical polarimetric parameters (polarization power, coherence, and phase difference) from polarimetric covariance matrix (or coherency matrix) and physical scattering characteristics of land use/cover based on polarimetric decomposition (Cloude decomposition model). In this paper, we found that these features have complementary information which can be integrated in order to improve the discrimination of different land use or cover types. Classification stage was performed using Fuzzy Maximum Likelihood Estimation (FMLE) clustering algorithm. FMLE algorithm allows for ellipsoidal clusters of arbitrary extent and is consequently more flexible than standard Fuzzy K-Means clustering algorithm. Hoever, basic FMLE algorithm makes use exclusively the spectral (or intensity) properties of the individual pixel vectors and spatial-contextual information of the image was not taken into account. Hence, poor(noisy) classification result is ussualy obtained from SAR data due to speckle noise. In this paper, we propose a modified FMLE which integrate basic FMLE clustering with spatial-contextual information by statistical analysis of local neightbourhoods. The effectiveness of the proposed method was demonstrated using E-SAR polarimetric data acquired on the area of Penajam, East Kalimantan, Indonesia. Result showed classified images improving land-cover discrimination performance. Exhibiting homogeneous region, and preserving edge and other fine structures.
Co-Authors . Kustiyo A. A. Md. Ananda Putra Suardana Abd. Rahman As-syakur Adi Magna Patriadi Nuhriawangsa Agung Dwi Wijaya ANIATI MURNl Anindita Dwi Utami Ari Kusuma Wati Ayu Siswoyo Putri Azura Ulfa Faris Tio Kurniawan Fernandy Dwi Satrya Gathot Winarso Ginda Sihombing Indah Nur Lestarini Inggit Lolita Sari Inggit Lolitasari Jafendi Hasoloan Purba Sidadolog Joko Riyanto Katmoko Ari Sambodo Kholifatul Aziz Kustiyo Mahdi Kartasasmita Muhammad cahyadi Muhammad Irham Muhammad Rizki Nandika Nanin Anggraini Novitasari Anggarawati Rengga Murvie Herdiana Risang Pramudyo Wardhana Sudibya (Sudibya) Sudiyono (Sudiyono) Wari Pawestri Wiji Prasetio Yugi Marshal Yuhan (Yuhan) Yuli Yanti Yuli Yanti Zahrotul Fitriani Zuprizal (Zuprizal)