Judul: Analisis Willingness to Pay untuk Sayuran Organik di Toko All Fresh Bogor
Abstrak: Populasi penduduk Indonesia yang menempati ranking 4 dunia menimbulkan peningkatan kebutuhan pangan bagi masyarakat yang mengakibatkan semakin banyaknya makanan konvensional yang tidak lagi sehat beredar di pasar untuk memenuhi kebutuhan tersebut. Hal ini mengakibatkan semakin meningkatnya jumlah penderita penyakit degeneratif. Namun lambat laun masyarakat mulai sadar dan menuju pola hidup yang alami “back to nature” dengan mengkonsumsi produk makanan organik. Tujuan penelitian ini adalah menganalisis faktor-faktor yang mempengaruhi Willingness to Pay (WTP) sayuran organik bagi konsumen dan menentukan presentase penambahan harga WTP sayuran organik yang bersedia dikeluarkan oleh konsumen. Penelitian ini mnggunakan alat analisis deskriptif, crosstab, regresi logistik dan Contingent Valuation Method (CVM). Berdasarkan hasil yang diperoleh, faktor-faktor yang mempengaruhi WTP sayuran organik bagi konsumen meliputi status pernikahan, usia konsumen dan jumlah anggota keluarga serta kepedulian konsumen terhadap sayuran organik. Persentase penambahan harga WTP yang dikeluarkan oleh konsumen untuk masing-masing sayuran yang dijadikan obyek penelitian adalah WTP produk wortel 58,80%; selada 29,61%; brokoli 24,42%; kembang kol 25,83%; kol 46,82% dan pakchoy 19,97%.
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Judul: Analisis Kesediaan Membayar (Willingness To Pay) Sayuran Organik dan Faktor - Faktor yang Mempengaruhinya (Studi Kasus Kota Bogor, Jawa Barat)
Abstrak: The era of modernization and the increasing in GDP per capita have changed the consumer behavior of Indonesian people. Indonesian people realize the importance of healthy living by consuming organic vegetables. The increasing production cost as a result of improving product quality induced the selling price of organic vegetables in market. This research aims to identify customer characteristics who made a purchase on organic vegetables by using descriptive analysis, to estimate consumer willingness to pay (WTP) using Contingent Valuation Method (CVM) and to analyze factors that influence the Willingness To Pay using Structural Equation Modeling (SEM) with LISREL. The result of this research showed the mean of maximum WTP for cabbage commodity is Rp 18.738; lettuce is Rp 30.048; broccoli is Rp 40.250; chinese cabbage (bok choy) is Rp 24.368 and carrot is Rp 19.820. The attitude and obstacle effect on WTP is significant, while the effect of SES is not significant.
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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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