Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)

Power Tiller Requirement for Cassava Cultivation at Estate Scale Rufiani Nadzirah; Agus Dharmawan; Siswoyo Soekarno; Indarto Indarto; Tasliman Tasliman
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 2 (2022): June
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i2.292-303

Abstract

Indonesia's food needs continue to increase along with population growth. Land development for supporting the cassava food estate is one of the priority programs of the central and regional governments. The purpose of this study was aimed at determining the need for power tiller for land management based on land area. This research was carried out at the planned location of the cassava plantation in Gunung Mas Regency, Central Kalimantan in 2020. The data on the land area planned was determined from a topographic map, while the tractor needs were obtained from the calculation of field capacity. The area of land suitable for cassava cultivation is 1227.57 ha which is divided into 25 blocks. The basis for the number of tractors as power tiller needed is determined from the time of tillage work so that it requires working capacity variables, including data on land area, work speed, and width of the plow implement. The plow studied in this study used 2, 3, 4, and 5 blades of disc plows. The need for a tractor with a 5-blade disc plow is 2 tractors that work fully and take turns cultivating an area of 1227.57 ha in the span of one cassava cultivation period (7-8 months). If the disc plow used is less than five blades, it will affect the working width of tillage, so the work time will be longer and the need for power tiller will increase. Keywords:   Cassava, Disk Plow, Food Estate, Power Tiller, Tractor
Land Use and Land Cover (LULC) Change in Eastern Areas of East Java From 1972 To 2021: Learning From Landsat Image Marga Mandala; Indarto Indarto; Ach. Fauzan Mas'udi; Akhmad Andi Saputra
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 4 (2023): December 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i4.1022-1035

Abstract

Urban development, population growth, high traffic jams, and intensive disaster events are indicators of changing the landscape of the eastern area of East Java. Investigating these changes is vital for planning and environmental protection in the future. This study examines changes in land use and land cover (LULC) during the past 50 years in the eastern part of East Java from 1972 to 2021. The changes are examined by contrasting four maps derived from Landsat images (1972, 1997, 2013, and 2021). The following are the main study procedures: (1) data inventory, (2) field survey, (3) image processing and classification, and (4) interpretation of LULC changes. With Google Earth Engine, all photos are downloaded (GEE). Landsat image classification was completed using the maximum likelihood algorithm with an overall Kappa accuracy of>85%. Eight (8) major classifications are therefore produced by the classification: (1) the pavement or urban area (PUA); (2) heterogeneous agricultural land (HAL); (3) bare soil (BS); (4) paddy field (PF); (5) open water body (OWB); (6) vegetation/plantation (VG); (7) shrubland (SL); and (8) wetlands (WL). In the areas with rapid development, the LULC change is more pronounced, i.e., Pasuruan, Jember, and Banyuwangi Regencies. LULC change in and near mid-regency and the rural regions comes next. Over the past fifty years, regional growth has resulted in increases in PUA (+4.4 percent), PF (+12.2 percent), and VG (+17.9 percent). On the other hand, the development has decreased SL, BS, and HAL by 5.8 and 15.9 percent, respectively (-13.1 percent ). LULC alterations for human activities have profoundly altered the natural landscape. Keywords:  East Java, GEE, Image Processing, Landsat, LULC