Judul: Sistem Pakar Kesesuaian Lahan untuk Tanaman Nilam (SPKLTN)
Abstrak: The land is a mixture of physical and natural environment that includes its climate, ground, relief, and hydrology. The mixture of soil has consequences of its land use. On the other hand, the success of agriculture and agro-industry is influenced by the success of its agriculture cultivation. This research intends to build an expert system that can be used to determine evaluation of crop land, in particular, for patchouli crop. The Expert System of Patchouli Land Suitability is aimed to provide information on land characteristics that are suitable for patchouli . We make use of the expertise of Dr. Ir. Rosihan Rosman, M.Sc to provide knowledge to the expert system developed. The processing input for the expert system comes in two formats, i.e., fuzzy inputs and non-fuzzy inputs. Fuzzy Inference System (FIS) with Mamdani method was first used as the inference method for the fuzzy output followed by an application of non-fuzzy inputs. The expert system provides three categories of evaluation, i.e., very suitable, suitable, and unsuitable land cultivation for patchouli. Each category has specific land characteristics tied with the evaluation. Furthermore, the expert system was assessed on sixteen different lands to verify system accuracy. Assessment results present 75% accuracy when verified using human expert assessment.
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Judul: Modul evaluasi kesesuaian lahan budidaya tanaman dengan menggunakan logika Fuzzy
Abstrak: Land suitability evaluation is the process of predicting land suitability class and land utilization potential for agriculture. Land suitability is evaluated by comparing the plant requirements with the available landscape characteristics related to climate, topography, texture, drainage, soil physics, soil fertility, salinity and alkalinity, as well as land preparation. In this research, we develop a system based on fuzzy inference to determine the rating, threshold levels and land suitability class from land characteristics data obtained. The data given as input are a crisp value or a linguistic value. Land suitability is evaluated using a boundary method. The fuzzy inference method used is the max – min method and the defuzzification method used is the center average defuzzifier method
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Judul: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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