Judul: Sistem Pakar Perlakuan Tanaman dengan Hormon Pertumbuhan, Faktor Eksogen dan EndogenMenggunakan Pendekatan Fuzzy.
Abstrak: Proses pertumbuhan tanaman dapat dimanipulasi dengan cara memberikan hormon tertentu dan memberikan faktor eksogenous tanaman pada kadar tertentu. Perlakuan ini mampu mempengaruhi pertumbuhan tanaman sesuai dengan kebutuhan, contohnya: mempercepat proses pembungaan, memperpanjang masa kemudaan(juvenility), atau untuk meregenerasi bagian tertentu pada bunga. Pada praktiknya, efek dari proses perlakuan ini hanya dapat dilihat pada tanaman setelah melewati periode waktu yang cukup panjang dan dilakukan dalam proses penelitian yang memakan banyak biaya. Sistem pakar ini dikembangkan untuk memprediksi pertumbuhan tanaman dengan cara memasukkan beberapa variabel seperti hormon dan faktor eksogenous. Sistem pakar ini merupakan kombinasi dari sistem inferensi fuzzy Mamdani dan sistem berbasis aturan. Sistem ini mampu menstimulasi efek dari pemberian hormon dalam dosis fuzzy dan faktor eksogenous. Sistem ini dapat digunakan untuk mengestimasi apakah tanaman mampu memproduksi bunga, mandul, tetap muda atau mati. Sistem ini juga mampu memprediksi bentuk bunga yang akan tumbuh, apakah bunga tersebut akan tumbuh menjadi bunga sempurna atau bunga dengan kecacatan pada beberapa bagian dari bunga tersebut. Akurasi hasil dari proses inferensi sistem yang didapat adalah sebesar 75 %.
Keyword: faktor eksogenous, fuzzy, hormon, pertumbuhan tanaman, sistem pakar

Judul: Sistem Pakar Prediksi Produktivitas Padi Pandan Wangi Menggunakan Logika Fuzzy
Abstrak: The increase of superior commodity production value is Indonesian government's efforts to survive in competitive trade competition. Superior commodity that has become the hallmark of Indonesia is beras pandan wangi. This commodity has a distinctive taste and fragrance, well-known in regional, national and international markets. Expert system can help the effort in order to run effectively and efficiently by predict pandan wangi paddy productivity. This system has three inference systems, the first is to determine the condition of the land with the input level of nitrogen, phosphorus, potassium and acidity level of the soil, the second is to determine the environmental conditions with rainfall input, land elevation and irrigation (water discharge). The second output of the inference will become an input for the third inference system which has pandan wangi paddy productivity as the final output. This expert system using mamdani fuzzy logic model and mean of maximum (MOM) for defuzzification. This expert system has an accuracy of 61.72%, 62.96% and 88.88% for the first, second, third inference system respectively.
Keyword: Bogor Agricultural University (IPB), productivity of pandan wangi, MOM, mamdani, fuzzy logic

Judul: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
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