Judul: Mapping of Rice Plant Growth from Airborne Line Scanner Using ANFIS Method
Abstrak: A map of rice plant growth stage is important information to support food security. Remote sensing data on agricultural land have been taken using an airborne line scanner with three channels (NIR, Red, and Green). Airborne camera used is an engineering model of LISAT (LAPAN IPB satellite) camera. Adaptive Neuro fuzzy interferences system (ANFIS) has been applied to these data to mapping of rice plant growth stage. Twenty four classification scenarios were generated to obtain the best of accuracy. A classification scenario consists of input combination from the original image or image rationing and four types of fuzzy membership function. There are four rice plant growth stages: 1) new rice planting, 2) vegetative rice, 3) reproductive rice, and 4) ripening rice. Other objects classification are non vegetation / fallow and trees. Best accuracy occurred in scenario having input images rationing (MPRI, NDVSI, and SAVI) with trapezoid fuzzy membership function, which gives kappa value 95.76%. Best prediction class is new rice planting and ripening rice with user’s accuracy of more than 99% followed by vegetative rice with user’s accuracy of 93.48 %, while worst prediction class is reproductive rice with user’s accuracy of 74.38 %.
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Judul: Pemantauan Fase Pertumbuhan Padi Menggunakan Sensor AVNIR dan PALSAR Polarisasi Penuh (Studi Kasus PT Sang Hyang Seri, Subang)
Abstrak: Rice is fundamental for most Indonesian people. Monitoring rice field is therefore important in order to obtain information required by food or agriculture planning. This task could be accomplished by using satellite-based remote sensing technology, including ALOS. In this research, ALOS capability in provision rice field information are explored through its two main sensors, i.e. optical-based AVNIR-2 and PALSAR, which is a SAR sensor, primarily focused on fully polarimetric data. ALOS PALSAR data used in this research were acquired in 2007 and 2009, while ALOS AVNIR images were attained in 2008 and 2009. This research shows that NDVI values based on AVNIR-2 fluctuate during both observations. In 2008 and 2009 images, the NDVI range was 0,238-0,549 and -0,209-0,516 respectively. The diversity of NDVI value in rice field was caused by varying growth phases such as vegetative, generative, mature, and pre- harvest. In this research, rice growth phase were studied using linear backscatter analysis using fully polarimetric (PLR) PALSAR image. In many phases, HH consistently produced higher backscatter coefficient compared to other linear polarization components, i.e. HV and VV. Analysis showed that HH is the most suitable polarization for monitoring rice field. This is due to the fact that HH polarization is more sensitive to variations of rice structure in different age levels. Classification using decision tree was implemented by exploiting QUEST and CRUISE algorithms. Using PALSAR image, classification accuracy based on CRUISE and QUEST was 56,36 % and 40 % respectively. Accuracy on AVNIR-2 was higher than PALSAR, i.e. 94,74 % and 90,91 % using CRUISE and QUEST respectively.
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Judul: Sintesis Superkonduktor YBCO dengan Metode Evaporasi dan Karakterisasinya
Abstrak: Telah berhasil dibuat pelet superkonduktor YBCO-123 dengan metode evaporasi dengan menghasilkan Tc = 100 K. Sintesis dilakukan dengan mencampur garam-garam nitrat Y(NO3)2, Ba(NO3), Cu(NO3)2 di dalam pelarut H2O pada suhu 150 oC. Setelah melalui proses pirolisis pada 350 oC selama 1 jam, prekursor dikalsinasi pada 900 oC selama 4 jam kemudian serbuk dikompaksi dengan tekanan hidrolik 5 ton untuk membentuk pelet dengan diameter 1,5 cm dan tebal 0,24 mm. Sintering dilakukan pada suhu 940 oC selama 20 jam. Efek meissner menunjukkan fenomena levitasi pada temperatur sekitar 80 K. Hal ini menunjukkan fasa superkonduktor telah terbentuk. Data XRD memberi mengkonfirmasi bahwa fasa kristal 123 telah terbentuk. Nilai konduktivitas didapat dari hasil pengukuran dengan LCR pada temperatur 300 K sebesar 4 x 10-5 S/cm. Pada penurunan temperatur dari 100 K ke 80 K terjadi kenaikan nilai konduktansi yang tajam dari 4.2 x 10-4 S/cm ke nilai 1.309 x 10-1 S/cm.
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