Disequilibrium Pasar Ikan Laut Aceh

This study is an attempt to construct an assessment model for fishery resources by taking Aceh province as a case. The accuracy of assessment of sustainability in fishery resource utilization is crucial. An erroneous assessment may lead to a false management policy and thereby fish stock depletion may take place as a result. Three behavioral equations used in this study constitute supply and demand functions. A simultaneous equations system was applied to assess the sustainability of fishery resource utilization. The model also incorporated the possibility of relationship between two Aceh's fishery areas and the possibility of disequilibrium fish market. The estimation results show that the Malacca Strait capture fishery market is in disequilibrium due to excessive demand. The Indian Ocean capture fishery supplies the consumption needs of the population on the Malacca Strait side and therefore significantly increases the supply in the later area

Analysis of the Interregional Trade of Agricultural Commodities in West Sumatera, Indonesia

This study aims to investigate factors affecting interregional trade of agricultural commodities between regions in West Sumatera, Indonesia. For this purpose, this study use modified gravity model. There are four commodities that represent interregional trade of agricultural commodities in this study, namely: rice, chicken egg, broiler and fresh sea fish. This study uses cross section data of the 15 regencies/city in West Sumatera. The data is obtained from survey to wholesaler group of agricultural commodities in West Sumatera (primary data). The result of this study shows that factors affecting interregional trade in West Sumatera are: the difference in price (for commodities: rice, chicken egg and broiler), transportation costs (for commodities: broiler and fresh sea fish)

Structural crack detection system using internet of things (IoT) for structural health monitoring (SHM): a review

Monitoring the state of civil engineering infrastructure is critical for a country’s economic development since structures with long service life and timely maintenance have lower reconstruction costs. Crack occurrence is the most important element that influences the performance and lifespan of civil infrastructures like bridges and pipelines. As a result, several fracture detection and characterization approaches have been explored and developed in the domains of Structural Health Monitoring (SHM) throughout the last few decades. The major goal of implementing the Internet of Things (IoT) paradigm is to enable the Internet-based connectivity extension of various typical SHM devices. As a result, connected devices can communicate and process data, opening new possibilities in the design of acquisition systems in various disciplines of research and engineering. The researchers have extended the application of the IoT paradigm to the SHM crack detection because of the advances, ensuring that the tests done in this framework can produce good results with promising future improvements. Thus, this paper reviews structural crack detection based IoT for SHM as reported by previous research in the literature. The strengths and limitations of current systems are discussed. This paper is aimed to serve as a reference for crack detection and characterisation researchers as well as others who are interested in SHM in general. In addition, several case studies on real structures, as well as laboratory experiments for monitoring structural crack health of civil engineering structures, are also presented