Judul: Aplikasi Mobile Inventarisasi dan Pemetaan Tumbuhan Obat Menggunakan GPS (Global Positioning System)
Abstrak: This research develops the MedLeaf system which was designed to find information concerning medicinal plants. MedLeaf is the development of biodiversity informatics system which is developed by using Android operating system. Biodiversity informatics examines only the level of species diversity which will be mapped to view the spread of medicinal plants. Several technologies that support this research are Google Maps and GPS. There are two facilities the developed in mobile application, namely the mapping and the inventory of medicinal plants. Mapping is used to find the spread location of medicinal plant and inventory is used to preserve the medicinal plants. The amount of data used in this research are 100 species of medicinal plants and 107 data of medicinal plants that have been found at IPB Dramaga campus. Questionnaire method is used to evaluate the user’s satisfaction. The evaluation result indicates that the system is promising for mapping the medicinal plants.
Keyword: Biodiversity Informatics, Google Maps, GPS, Heuristic Evaluation

Judul: Aplikasi Mobile Untuk Identifikasi Tumbuhan Obat Menggunakan Local Binary Patterndengan Klasifikasi Probabilistic Neural Network
Abstrak: This research proposed a new mobile application for medicinal plants identification. Local Binary Pattern (LBP) is used to extract image features and Probabilistic Neural Network (PNN) is used to classify medicinal plants on mobile phone. LBPP,Rriu2 was used as LBP descriptor in this research, which uses rotation invariant and uniform patterns of image texture. The aim of this research was to implement this application in open source Android 2.3 (Gingerbread) operating system. The data used is the medicinal leaf image from Botanical Garden, Bogor Indonesia which consist of 15 species with 10 variations for each species. The experiment showed that the accuracy of identifications is 31.11% and the computation time is 50.02 seconds.The experimental result show the accuracy is still low, so this research need to be explored further to improve the accuracy. This new mobile application is useful to help user in plant identification.
Keyword: 

Judul: Transisi Fasa Materi Hadronik ke Materi Kuark pada Inti Bintang Neutron.
Abstrak: Bintang neutron terdiri dari beberapa lapisan yang disusun oleh materi nuklir yang berbeda dengan kerapatan yang semakin tinggi ketika mendekati pusat bintang. Inti luar bintang neutron disusun oleh materi hadronik (nukleon, lepton, dan hyperon), sedangkan inti dalam bintang neutron disusun oleh kuark-kuark bebas (up, down, strange) yang saling berinteraksi. Tujuan penelitian ini adalah mempelajari bagaimana transisi dari inti luar ke inti dalam bintang neutron dengan menggunakan pendekatan RMF (Relativistic Mean Field) untuk materi hadronik dan CIDDM (Confined Isospin Density Dependent Mass) untuk materi kuark. Tekanan transisi diperoleh ketika potensial kimia barion materi hadronik dan materi kuark bernilai sama. Nilai tekanan transisi dengan parameter SU6-TM1 sekitar 87 MeV/fm3 dan diperoleh massa maksimum bintang neutron yaitu 1.92M dengan jari-jari sekitar 8.62 km. Nilai tekanan transisi dengan parameter SU6-G2 sekitar 53 MeV/fm3 dan massa maksimum bintang neutron yaitu 1.88M dengan jari-jari sekitar 8.16 km. Jenis transisi fasa adalah orde satu ditandai dengan diskontinuitas dalam kerapatan energi (adanya mixed phase). Parameter-parameter pada model nuklir yang digunakan menyebabkan perbedaan kekakuan persamaan keadaan (EOS) dari materi hadronik dan materi kuark sehingga nilai tekanan transisi dari fasa hadronik ke fasa kuark juga berbeda.
Keyword: bintang neutron, persamaan keadaan, transisi fasa