Judul: Management and Utilization of Medicinal Plants at Sumber Sehat Multifarm, Tegalwaru Village, Ciampea District, Bogor
Abstrak: Indonesia merupakan negara yang kaya dengan berbagai macam spesies tumbuhan obat. Banyak orang yang menggunakan produk tumbuhan obat untuk mengobati berbagai kondisi kesehatan tubuh. Sumber Sehat Multifarm (SSM) bergerak dalam bidang pengelolaan dan pemanfaatan tumbuhan obat yang telah berdiri sejak 2007. Tujuan penelitian ini adalah menjelaskan organisasi pengelolaan, mengidentifikasi spesies tumbuhan obat, bentuk produk tumbuhan obat, bentuk pendapatan dan pengeluaran, dan motivasi pengunjung. Metode pengumpulan data yang digunakan adalah studi literatur, survei lapangan, dan wawancara. Analisis data dilakukan secara kuantitatif dan deskriptif. Hasil menunjukan bahwa organisasi SSM terdiri dari pemilik, penanggung jawab, wakil penanggung jawab, administrasi, pengelola kebun, produksi, dan pemasaran. Koleksi tumbuhan obat di SSM terdiri atas 164 spesies dan 62 famili. Produk yang ditawarkan oleh SSM diantaranya adalah berbentuk serbuk instan, serbuk ramuan teh, rebusan, simplisia dan sirup. Pendapatan SSM berasal dari kegiatan kunjungan dan penjualan produk tumbuhan obat. Pengeluaran SSM bersumber dari biaya produksi dan upah tenaga kerja. Motivasi pengunjung untuk datang ke SSM sebagian besar adalah untuk urusan pekerjaan., Indonesia is a country rich in various species medicinal plants. Many people use medicinal plant products to treat various health conditions. Sumber Sehat Multifarm (SSM) is engaged in the management and utilization of medicinal plants which has been established since 2007. The purpose of this research was to explain the management organization, identify collections of medicinal plants, forms of medicinal plant products, forms of income and expenses, and explains visitor motivations. Data collection methods used are literature studies, field surveys, and interviews. Data analysis was carried out quantitatively and descriptively. The results showed that the SSM organization consisted of owners, persons in charge, representatives in charge, administration, plantation management, production, and marketing. Collection of medicinal plants in SSM identified as many as 164 species and 62 families. The products offered by SSM include instant powder, herbal tea powder, concoctions, simplicia and syrup. SSM's income comes from visiting and selling medicinal plant products. while SSM expenses come from production costs and labor wages. The motivation of visitors to come to SSM is mostly for work matters.
Keyword: organization, medicinal plants, production, visitor

Judul: Inventory of Medicinal Plants at Sumber Sehat Multifarm, Tegalwaru Village, District of Ciampea, Bogor Regency
Abstrak: Pemanfaatan tanaman obat di Indonesia semakin menurun setiap tahunnya. Oleh sebab itu, penambahan wawasan mengenai keanekaragaman dan pemanfaatan tanaman obat diperlukan. Penelitian ini bertujuan memberikan informasi mengenai keanekaragaman dan pemanfaatan tanaman obat yang berada di Sumber Sehat Multifarm. Pengambilan data tumbuhan, seperti: nama lokal, nama ilmiah, habitus, manfaat tanaman obat, bagian tanaman yang digunakan, cara penggunaan serta proses pengolahan tanaman obat didapatkan dari metode observasi partisipatif dan wawancara semi terstruktur. Analisis data dilakukan secara kuantitatif dengan mengukur persentase bagian tumbuhan yang digunakan dan persentase habitus tumbuhan yang digunakan. Analisis data kualitatif dilakukan secara deskriptif. Hasil menunjukkan bahwa Sumber Sehat Multifarm memanfaatkan 177 spesies tanaman yang termasuk kedalam 64 famili sebagai obat. Sebagian besar habitusnya berupa herba. Bagian tanaman yang banyak dimanfaatkan adalah daun. Sebagian besar jenis tanaman mampu mengatasi lebih dari satu macam penyakit. Manfaat tanaman obat dapat digolongkan menjadi dua kategori, yaitu: tanaman obat yang mengobati penyakit luar dan tanaman obat yang mengobati penyakit dalam. Sebagian besar tanaman dapat dikonsumsi dengan direbus atau dimakan segar., The utilization of traditional medicinal plants in Indonesia is decreasing every year. Therefore, increasing the knowledge about the diversity and utilization of medicinal plants is needed. This research aimed to provide information about the use of medicinal plants in Sumber Sehat Multifarm. Data such as local name, scientific name, habitus, plant efficacy, part of the plants that are used, benefits, how to use, and also plant processing were collected through participative observation and semi-structured interview method. Data analysis was done through a quantitative method by calculating the percentage of part of the plants that are used and the habitus of the plants that are found. Qualitative analysis of data was done descriptively. The result showed that Sumber Sehat Multifarm uses 177 species belonging to 64 families as medicinal plants. Most plant species have a herbaceous habitus. Part of the plants that are used mostly are the leaves. Most plant species of plant can treat more than one kind of disease. The benefits of the plant can be grouped into two categories: plants use to cure internal organ disease and plants for treating external organ disease. Most plant species can be consumed by brewing or freshly eat it.
Keyword: herbaceous habitus, traditional medicine, health, medical plants

Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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