Judul: Pemodelan Sistem Pakar Berbasis Komputasi Lunak untuk Evaluasi Kesesuaian Lahan Komoditas Serealia: Studi Kasus Kabupaten Bogor
Abstrak: Nowadays, the threat of food shortages are happen in Indonesia. Most of crops are cereals commodities. Cereals cultivation often experience some problems in defining if the land is good or not for the plant. Expert system can help researcher and practitioners to choose the suitable kind of cereals for land. In this research, a model of fuzzy rule within fuzzy inference system using artificial neural network and genetic algorithm was built. The model was used to develop an expert system of land suitability for cereals commodity. This model implement soft computing which combine fuzzy system, artificial neural network and genetic algorithm. In this research, an expert system model of land suitability for cereals plant were built. The model implement soft computing methods for inference engine which combine fuzzy system and genetic algorithm. There are 16 parameters to define the land suitability which consists of 12 numeric parameters and 4 categorical parameters. The kind of cereals that will be used are wetland paddy and corn. Trapezoid membership functions was used here. Genetic algorithm was used for tuning the membership function of fuzzy for land suitability which is consist of very suitable (S1), quite suitable (S2), marginal suitable (S3) and not suitable (N). This research has produced a model of soft-computing-based expert system. The experimental result by entering some of test cases in the system and compared with the results of the expert show that the system was built in accordance with the results of the expert with accuracy 85% for rice and 90% for corn. Errors of land suitability class grouping occurs because the input value was on the edge of the membership function. We suggest the usage of actual data for future research, so that the output of the model appropriate to real condition. Each parameter should be weighted based on its importance.
Keyword: cereals, expert system, fuzzy, genetic algorithm, land suitability evaluation, soft computing

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: Katalis Zink Ferit Tersubstitusi Cu untuk Oksidasi Benzil Alkohol
Abstrak: Katalis berperan dalam menurunkan energi aktivasi. Katalis ZnFe2O4 dan ZnFe2O4 tersubstitusi Cu disintesis menggunakan metode kopresipitasi untuk digunakan dalam oksidasi benzil alkohol. Katalis dicirikan dengan spektrofotometer inframerah (FTIR) dan difraktometer sinar-X. Spektrum FTIR menunjukkan puncak serapan dari ikatan Zn-O dan Fe-O masing-masing pada rentang 559‒575 cm-1 dan 419‒447 cm-1. Difraktogram menunjukkan terbentuknya fase tunggal Zn0.6Cu0.4Fe2O4 pada katalis ZnFe2O4 tersubstitusi Cu 20%. Benzil alkohol dioksidasi dengan sistem refluks. Konversi benzil alkohol meningkat dengan meningkatnya suhu. Kadar benzaldehida yang dihasilkan dengan katalis ZnFe2O4 tersubstitusi Cu 20% lebih tinggi dibandingkan dengan katalis ZnFe2O4 yang tidak tersubstitusi dan yang tersubstitusi Cu 60 dan 80%. Hal tersebut menunjukkan bahwa katalis ZnFe2O4 tersubstitusi Cu 20% memiliki kinerja yang lebih baik dalam oksidasi benzil alkohol menjadi benzaldehida dengan kadar benzaldehida 8.763%.
Keyword: Benzil alkohol, katalis, oksidasi, ZnFe2O4