Founded in 2007, Serang was considered as one of new cities in Indonesia. That was why, vegetables commodity mapping was not available yet. This mapping was essential for a new city to create an accurate policy in order to develop and maintain sustainable agriculture practices. Many agriculture commodities mapping were constructed by using Location Quotient (LQ) method. Unfortunately, they were based on productivity only. In this paper, we presented a vegetables commodity mapping by not only using production factor, but also farmer's socio-economic indicators, namely: (1) land width (preservation), (2) future land width (enhancement), and (3) household expenditure. Production factor and the farmer's socio-economic indicators were mapped and drawn in a biplot as the fist and the second layer. These two layers were overlayed in order to obtain district-commodity priority. Finally, this study resulted four district-commodity priority categories they are: First, Cipocok Jaya district as the main priority with cucumber as its potential commodity. Second, Curug district with chili as its commodity. Third, Walantaka distict with chili and Taktakan district with pea bean as their potential commodities, and finally, Kasemen and Serang district that has no identified commodity yet.
The Covid-19 pandemic required changes in the norms of life that communities have long embraced. The government of Indonesia also pursued intervention to limit social interaction. As a result, small entrepreneurs have suffered a significant slump in turnover and lost customers or business partners. They have to be adaptive to the Covid-19 pandemic to sustain their business. This article described the adaptation of small entrepreneurs in Lebak Regency, Banten Province, Indonesia to the Covid-19 pandemic. This study was survey research. Data were analyzed using the Chi-square test. The study showed that gender, access to the information, and business capital of the small enterprise owner had a relationship to their capacity to adapt to the Covid-19 pandemic which is related to their level of adaptation. This finding emphasizes the importance of broadening the access of small business owners to the required resources to adapt to the Covid-19 pandemic.
A desirable dietary pattern (DDP) index is an index to measure the balance and variance of the nutrition intake of an individual. This index is composed of the calory values of protein, fat, and carbohydrates. Grouping individuals based on the DDP index is required to measure and improve an individual food security state. We took 14 individual purposively as samples to fill a set of DDP questioner. They were asked about their daily food consumption. They were grouped based on the DDP variables. A 3-dimensional plot showed that there were three to four clusters. Then, medoid-based partitioning algorithms, namely partitioning around medoids (PAM) and simple k-medoids (SKM), were applied in the data set. The inputted distances were generalized distance function to vary the distance options. The cluster results were then validated by medoid-based shadow value validation. This index was comparable to the 3-dimensional plot such that four clusters were opted as the most suitable number of clusters. The barplot of the cluster results showed that cluster 1 was characterized by an abundance of fat, while cluster 2 had very sufficient carbohydrates. Cluster 3 and 4 were two clusters with opposite characteristics where the former had a shortage of protein, fat, and carbohydrates, while the latter had an abundance of them.
The purpose of this study was to analyze justice and gender equality in environmentally friendly lowland rice farming in realizing family food security in Banten Province. The research method is a survey with research design is descriptive that takes samples in one population using questionnaires as a data collection tool. The study was conducted for three months from April to June 2019. The research sites were in three districts in Banten Province, namely Serang Regency, Pandeglang Regency, and Lebak Regency. The number of samples in the study were 160 lowland rice farmer families (husband and wife). Data analysis uses gender equality and equity indexes. The results showed that access and control in farming activities were dominated by male farmers such as: land management, fertilization, pest and disease control, and marketing was dominated by male farmers while female farmers dominated in the nursery and maintenance stages. Planting and harvesting is done jointly between male and female farmers. Here we see the division of labor between male farmers and female farmers, where male farmers work on farming activities that rely on physical strength while female farmers get a division of labor that requires perseverance such as nursery and maintenance. The conclusion is that to realize justice and gender equality of ecofriendly rice farmers to achieve sustainable food security, of course, it must be supported by all parties, both government and farmers.
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