Judul: Development Web Based Diagnosis Expert System of Chicken Disease.
Abstrak: Disease is one of many obstacles that could reduce the productivity of poultry. Recognizing early symptoms of the disease, knowing the source of the cause and performing a variety of efforts for prevention are very important to increase the productivity of the poultry. This study is a continuation of previous study done by Haryanto (2006). The system developed by Haryanto still has some limitations : such as desktop-based systems, could not be found division of users to access system, and it’s not using the database so there is no facility for editing disease symptoms. The present availability of computer technology and an easiness of obtaining it has provided great possibility to apply an information system for overcoming the problems mentioned above. For this purpose, Diagnosis Expert System of Chicken Disease was developed in the form of a web based application. Moreover, this study evaluates the effect of changing the membership functions of input variables on the defuzzification results. This system is designed and built using System Development Life Cycle (SDLC) method which consists of 5 stages, investigation systems, system analysis, system design, system implementation, and maintenance system. The results of this research is a chicken diasease diagnosis expert system, a web based application. In the system, the decision making is based on two aspects, which are non fuzzy symptoms is using decision table and for symptoms fuzzy is using Fuzzy Inference System. Keywords : expert system, membership function, defuzzification, system development life cycle.
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Judul: Sistem deteksi dini dan pencegahan penyakit pada ternak unggas secara online
Abstrak: Disease control on poultry farming can be one determining factor to get the economy success. A sick poultry will make the weight gain decreased, and result in economic losses. Poultry disease can be detected faster by the symptom shown by poultry itself. This Online Poultry Early Detection and Illness Prevention Information System (OPEDIPIS) could help farmer to detect the illness before its outbreak. This system diagnoses the desease by enter the symptome of the desease to computer system, and then the system compute the possible illness of the poultry based on the symptom that had been input to the system data base. The OPEDIPIS was developed using System Development Life Cycle Method (SDLC). SDLC consisted of 5 systems, they were investigation, analyze, design, implementation, and maintaining systems. The system is good for some disease that have symptoms in the vital body but it cant be used to cure the illness, this system can only recommend some prevention method to help stop spreading the disease.
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Judul: Komposit Grafit Nanomagnetit sebagai Adsorben Permanganat.
Abstrak: Komposit grafit-nanomagnetit disintesis dengan metode hidrotermal dengan bahan grafit, FeCl3.6H2O, natrium sitrat, dan urea. Proses aglomerasi dapat dikurangi dengan mendispersikan magnetit pada matriks padat seperti grafit. Komposit dibuat dengan mencampurkan secara in situ antara grafit dan nanomagnetit dengan nisbah 6 : 4 kemudian produknya dicirikan dengan difraksi sinar-X. Kristal komposit yang dihasilkan berukuran 85 nm. Pengujian daya adsorbsi komposit grafit-nanomagnetit terhadap kalium permanganat ditentukan dengan spektrofotometri ultraviolet-tampak dan dibandingkan dengan daya adsorbsi grafit, nanomagnetit, dan campuran secara fisik grafit nanomagnetit 6 : 4. Komposit memiliki kapasitas adsorbsi yang lebih tinggi, yaitu mendekati 200% terhadap grafit, 110% terhadap nanomagnetit, dan 140% terhadap campuran.
Keyword: adsorbsi, hidrotermal, komposit, magnetit, spektrofotometri