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Clungup is an area in Malang, East Java, which has good coastal and mangrove resources. It tends to be a potential tourism and has the opportunity as a tourist area. Readiness of managers and the surrounding community to manage the existing coastal resources is another reason. The combination of management, government and community and coastal resources, became the focus of this research using Multidimensional Scaling (MDS) analysis generated from RapTourism (Rapid Appraisal for Tourism) approach. The sustainability of resource management as an asset from tourism through three dimensional approaches, namely ecological, social, and management dimension. Rainfall, mangrove species diversity, community knowledge level of resources, community dependence on the region, interaction level between manager and stakeholders as the most sensitive attributes. Monte Carlo analysis shows that the ecological and management dimension are in stable stage, while for the social dimension is quite stable because it is very vulnerable to change. This study proposes four recommendations to maintain the sustainability of the tourism area in Clungup Beach. The recommendations include the regulations to manage the exploitation of coastal areas, an adequate infrastructure to support the safety of tourists, develop environmentally friendly tourism activities, and strict regulations in expanding tourism in the areas.Keyword: tourism management, sustainable tourism, rapid appraisal for tourism, multidimensional scaling, Clungup. ABSTRAKClungup adalah suatu daerah wisata pantai dengan sumber daya terumbu karang dan mangrovenya yang berada di Kabupaten Malang. Potensi yang dimiliki daerah ini cukup besar untuk dikembangkan menjadi daerah kunjungan wisata. Namun demikian, harus dikaji mengenai kesiapan pengelolaan dan penerimaan masyarakat sekitar. Hal ini merupakan salah satu kondisi yang harus dipertimbangkan dalam pengembangan suatu area wisata. Fokus penelitian ini pada kesiapan dari manajemen dalam mengelola area wisata, dukungan pemerintah dan masyarakat, serta kondisi dari sumber daya terumbu karang dengan menggunakan analisis Multidimensional Scaling yang diperoleh melalui pendekatan RapTourism. Analisis keberlanjutan pengelolaan sumber daya alam sebagai aset wisata dilakukan melalui tiga pendekatan dimensi, yaitu dimensi ekologi, dimensi sosial, dan dimensi menajemen. Atribut yang paling sensitif pada obyek penelitian adalah curah hujan, jenis mangrove, pengetahuan masyarakat tentang lingkungan, ketergantungan masyarakat terhadap sumberdaya pesisir, dan interaksi antara kelompok pengelola dengan stakeholder. Hasil analisis Monte Carlo menunjukkan bahwa dimensi ekologi dan manajemen pada tahap stabil, sedangkan dimensi sosial paling dinamis dan mudah berubah. Terdapat empat rekomendasi pengelolaan area wisata di Pantai Clungup, yaitu peraturan pengelolaan eksploitasi kawasan pesisir, infrastruktur yang memadai untuk mendukung keselamatan wisatawan, mengembangkan kegiatan pariwisata yang ramah lingkungan, dan peraturan ketat dalam memper...

Abstract. Thermal comfort for workers is very important factor to increase their performance, as well as the comfort level of dairy cattle will influence in milk productivity. The purposes of the paper is to measure the level of heat stress and then use the information to design the dairy cattle house for increasing thermal comfort. The research is started with literature review of heat stress and early survey of environment condition e.g. temperature, wind speed and relative humidity. The next step is using the information to determine the temperature humidity index (THI) level for dairy cattle with maximum THI = 86 and 84 (moderate stress). The 3D CAD model and Computational Fluid Dynamic (CFD) simulation are employed to looking for solution for reducing the discomfort thermal of dairy cattle. A scenario (fan) air conditioning to get better condition of thermal comfort have been successfully presented with final THI index = 76 and 78 (mild stress). Finally, the paper shows how to reduce heat stress of cattle house by installation 3 exhaust fans in tropical climate.

As part of the Supply Chain (SC), oftentimes Land Logistic Driver (LLD) are held by various uncontrollable occurrences from the surroundings. This caused the cognitive load of the drivers to become higher, which could potentially affect the performance of the LLD to meet the Key Performance Indicator (KPI) of the SC overall. Not only the performance that is affected, but a higher load also could affect the driving behavior towards negativity, as anger and stress perceived become higher, hence a higher crash possibility. Therefore, the need to study the possibility to measure the cognitive load in a certain route that they are on, so any adjustments could be made during a transport activity, with Electroencephalogram (EEG) used as the means to measure it. This study is done by reviewing 15 available research as references regarding EEG and cognitive load. It is possible to use EEG in measuring cognitive load during driving activity, with the focus area of data gathering on the central lobe, parietal lobe, and temporal lobes, with the data extracted from EEG should use the most accurate classifier that focuses on analyzing beta (β) and alpha (α) band as the significant brain wave of the active state. The possible result of the brain wave analysis could be used to determine whether the current route option is burdening LLDs' cognitive load and should be corrected to improve safety driving. Further inclusion of the analysis result could be incorporated into a set of KPI in measuring SC performance.

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