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All Journal Faktor Exacta Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES)

I Made Parsa

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Author-ID : 284273

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Articles

EVALUASI REHABILITASI LAHAN KRITIS BERDASARKAN TREND NDVI LANDSAT-8 (Studi Kasus: DAS Serayu Hulu) Tatik Kartika; Dede Dirgahayu; Inggit Lolita Sari; I Made Parsa; Ita Carolita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 2 Desember 2019
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Pemanfaatan penginderaan jauh dalam memantau vegetasi sudah banyak dilakukan, tetapi pemanfaatannya untuk mengevaluasi rehabilitasi di lahan kritis masih sangat jarang. Kegiatan rehabiliatsi hutan dan lahan dilakukan karena makin meningkatnya lahan kritis. Kegiatan rehabilitasi tersebut perlu dievaluasi, mengingat banyak sekali dana, waktu, dan tenaga yang diperlukan. Selama ini evaluasi dilakukan dengan cara langsung mendatangi lokasi rehabilitasi dengan memantau pertumbuhan tanaman pada setiap akhir tahun sampai akhir tahun ketiga. Menurut ketentuan peraturan yang berlaku, rehabilitasi dapat dikatakan berhasil apabila 90% vegetasi yang ditanam bisa tumbuh di akhir tahun ketiga. Kegiatan evaluasi dengan cara memantau kondisi vegetasi atau kerapatannya dapat dilaksanakan dengan memanfaatkan data penginderaan jauh, karena data tersebut mempunyai sifat multi temporal dan cakupan yang luas dan ketersediannya yang berlimpah dan mudah didapat. Data penginderaan jauh yang digunakan adalah Landsat-8 tahun 2013 sampai dengan 2018 dan metode evaluasi adalah analisis NDVI dari waktu ke waktu menggunakan SIG. Hasilnya adalah bahwa dari hasil survey yang diperoleh di kawasan APL terdapat lokasi rehabilitasi di lahan tidak kritis, agak kritis, kritis, dan sangat kritis dan berturut-turut keberhasilan rehabilitasi untuk APL_TK; APL_K; APL_AK; APL_SK jika NDVI melampaui nilai 0,337; 0,465; 0,493; 0,490 setelah bulan ke 21,8; 24,5; 26, dan 25,8.

MULTITEMPORAL LANDSAT DATA TO QUICK MAPPING OF PADDY FIELD BASED ON STATISTICAL PARAMETERS OF VEGETATION INDEX (CASE STUDY: TANGGAMUS, LAMPUNG) I Made Parsa; Dede Dirgahayu
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 10, No 1 (2013)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Paddy field has unique characteristics that distinguish it from other plants. Before it planting, paddy field is always flooded so that the appearance is dominated by water (aqueous phase). Within the growth of rice, field conditions will be increasingly dominated by greenish rice plants.While at the end, the rice plants will turn yellow indicating for harvesting. During flooding stage, the normalized difference vegetation index (NDVI) of pady field is negative. The negative value of NDVI of paddy field will ultimately increase to the maximum value at the maximum vegetative growth. TheNDVI of paddy field will decrease from generative phase until harvest and after harvest. The objective of this study was to perform the vegetation index analyses for multitemporal Landsat imagery of paddy field. The results showed that the difference of vegetation index values (maximum - minimum)of paddy field were greater than the difference of vegetation index values of other land uses. Such differences values can be used as indicator to map land for rice. The evaluation results with reference data showed that the mapping accuracy (overall accuracy) was of 87.4 percent.

KONVERSI ENERGI PEMANGGANG IKAN DENGAN PARA-PARA SISTEM BERTINGKAT I Made Parsa
Faktor Exacta Vol 4, No 4 (2011)
Publisher : LPPM

This action research program is aimed at: (1). Giving a course on roasting a kakap fish (Lates Calcarifer) through a working process of a fish roaster apparatus with multi-storied racks. (2). Giving services and demonstration on how to operate kakap fish roasting apparatus and the like, which are appropriate and correct and its maintenance. The method of this action research program uses: instruction, demonstration and evaluation in the use fish roasting apparatus with multi-storied racks, which has been given to Ulam Segara Food Industry in Kelurahan Pasir Panjang, Kupang. The results of this action research program are: (1). the workers of fresh fish food can efficiently fulfill the order of roasted fish consumers from an even and continuous roasting process. (2). The workers of snacks can roast fish, able to process fish into various fish foods/snacks (pepes, sate, rica-rica etc.) evenly in short time, where before the introduction of this apparatus 3 fishes were grated in 15 minutes, but since the operation of this apparatus 10 fishes can be processed in 15 minutes. Key Word: Fish Roasting, Apparatus, Multi-storied Racks

KONVERSI ENERGI PEMOTONG KRUPUK: BERAS, TRIGU DAN IKAN SISTEM PARALEL DENGAN PUTARAN PISAU KIPAS *) I Made Parsa
Faktor Exacta Vol 3, No 3 (2010): Faktor Exacta
Publisher : LPPM

The aim of this action research is to mold and to cut crackers made of rice, wheat flour and fish in a quick work through the working process of a parallel system tool with the rotation of a fan knife and to give services and demonstration on how to operate the tool in producing good quality crackers in correct manner and how to carry out is maintenance. The method used in the action research supervision, demonstration and evaluation of the use of the molder (printing tool) and cutter (cutting tool) of the crackers made of rice, wheat flour and fish using a parallel system of the rotation of a fan knife. This tool has been give to Sari Rasa Food Industry in Kupang. The results of the action research are: (1) Partner Industry can become efficient in using crackers materials of rice, wheat flour and fish in producing crackers of various shapes, elastic and tough prints with the shape of circle, quadrangle or other shapes, and (2) Partner Industry my possess a crackers molder and cutter which are able to process the cracker materials of rice, wheat flour and fish which are elastic and touch to be made into various shapes of molds and flat thin cuts, where before the introduction of this tool 1 quadrangle of crackers is produced in 15 minutes, while since the operation of this tool 1 quadrangle can be produced in 3 minutes. Keywords : Crackers Molder and Cutter.

ANALYSIS OF CLASSIFICATION METHODS FOR MAPPING SHALLOW WATER HABITATS USING SPOT-7 SATELLITE IMAGERY IN NUSA LEMBONGAN ISLAND, BALI Kuncoro Teguh Setiawan; Gathot Winarso; Andi Ibrahim; Anang Dwi Purwanto; I Made Parsa
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19, No.1 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3748

Shallow water habitat maps are crucial for the sustainable management purposes of marine resources. The use of a better digital classification method can provide shallow water habitat maps with the best accuracy rate that is able to indicate actual conditions. Experts use the object-based classification method as an alternative to the pixel-based method. However, the pixel-based classification method continues to be relied upon by experts in obtaining benthic habitat conditions in shallow water. This study aims to analyze the classification results and examine the accuracy rate of shallow-water habitats distribution using SPOT-7 satellite imagery in Nusa Lembongan Island, Bali. Water column correction by Lyzenga 2006 was opted, while object-based and pixel-based classification was used in this study. The benthic habitat classification scheme uses four classes: substrate, seagrass, macroalgae, and coral. The results show different accuracy is obtained between pixel-based classification with maximum likelihood models and object-based classification with decision tree models. Mapping benthic habitats in Nusa Lembongan, Bali, with object-based classification and decision tree models, has higher accuracy than the other with 68%.

Co-Authors Anang Dwi Purwanto Andi Ibrahim Dede Dirgahayu Gathot Winarso Inggit Lolita Sari Ita Carolita Kuncoro Teguh Setiawan Tatik Kartika

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