Five farmer groups in Lawang, Malang Regency, East Java Provinces, established organic agricultural practices almost two decades. They were visited frequently for farmer benchmarking activities; therefore they had planned to develop agroedutourism. The aims of this research were to identify potential organic farming activities as agroedutourism attractions as well as farmer ecopreneurship, to find out the existing agroedutourism facilities profile and to propose some strategies for further sustainable development. The data were gathered by interviewing key person of each farmer group in Lawang. Their agroedutourism profiles compared with a developed local agro-tourism using gap analysis. Farmer groups offered some distinct attractions and become their strengths such as out door activities in the organic perfumed and pigmented rice field, fruits and vegetable garden, zero waste management, biological pest control and healthy agricultural products. Establishment of this agroedutourism would be advantageous to lesson sharing among farmers and students, to be ecopreneur activity shown by an effective market system, to show real benefits of healthy agro-ecosystem and its products, as well as to show promising green business or ecopreneurship. Collaboration among them would improve available attractions and length of visit. Moreover, the results showed that 80% of farmer groups were visited regularly 5-10 times per month by potential visitors such as other farmer groups, house wives, staffs of agricultural departments and students. All farmer groups planned to develop agroedutourism; however the policy was only issued by 60% of farmer groups. Most of farmer groups showed a high variability in providing edutourism tours and guides. For sustainable development, farmer groups should provide more interesting attractions and facilities, develop their human resource, net working, and public promotion.

The purpose of this study is to evaluate two organic agroedu-tourism attractions developed to 42 students of eight graders of three junior high schools in the village and one school in the city. Organic agroedu-tourism offers two tour programs namely Organic Garden Tour and Organic Farming Technology. Appreciations of the participants were determined by pre and post test after joining the organic agroedu-tourism. The data were analyzed by using descriptive statistics. This study shows that 78.6 % of the participants prefer the Organic Garden Tour and 21.4% find that the Organic Farming Technology is better. Organic agroedu-tourism can develop cognitive aspect of participants from score 1 turned into 3. Most participants had a high interest in joining the organic egroedu-tourism. Organic agroedu-tourism is also able to meet the expectations of participants that are indicated by an increase in the skills and experience of participants from score 2 to 5. Satisfaction of the participants can also be assessed from the high appreciation average before and after joining Organic agroedu-tourism, which are score 4. The appreciation of the participant is shown by their willingness to invite other people to join. Factors affecting participants' satisfaction were family background, socio-economy background, personal perception and knowledge. Based on the result, organic agroedu-tourism shows strength to develop the participants' understanding, knowledge and skills in integrated organic farming system, even though not all participants are interested to join all programs provided. Farmer groups need to improve the quality of organic agroedu-tourism, for example, completing the facilities and agreed on tourism attractions, enhancing farmers' skills as tour guide, providing organic agroedu-tourism program relevant to the school curriculum, and promoting it to public.

Butterflies have some roles in the environment, that is, as pollinator and bioindicator. Habitat is one of important factors to support butterflies' growth. The aim of this research was to describe butterflies' diversity in some green open spaces in Malang, East Java Province, Indonesia. Direct observations of butterflies diversity, vegetation structures and abiotic factors in Brawijaya University, Jalan Veteran, Jalan Jakarta, and Velodrom Green Open Spaces were conducted on June 2012. Sampling took place in each site by using cruising method in three-times observation: at 07.00, 11.00 a.m. and 3.30 p.m. The data were analyzed by statistical descriptive using Microsoft Excel 2007 and PAST. The results showed that the butterflies' composition in all sites were dominated by Delias sp., Leptosia nina, and Eurema venusta. The diversity index of all sites showed moderate rank that indicates community equilibrium in the environments was still good. In this case, Velodrom Green Open Space has the highest diversity index, which is about 2,199. Brawijaya University and Jalan Jakarta Green Open Spaces have a high similarity index based on Morisita Index. The highest abundance of butterflies is observed at 11.00-12.30 a.m. Delias sp. and L. nina have temporal spread all day long, while E. venusta does merely in daylight.

Exotic fruit is a fruit that is not widely known to the public. In Indonesia, there are many exotic fruits such as rambutan, passion fruit, mangosteen, longan, guava, and many more. Classification of exotic fruit images is needed because of the lack of knowledge from outsiders about exotic fruits in Indonesia. To his end, developing robust artificial intelligence using deep learning is necessary. CNN is the development of the Multilayer Perceptron (MLP) which is designed to process two-dimensional data and in the type of Deep Neural Network because of the high network depth and widely applied to image data. By utilizing the transfer learning method and a little fine-tuning, the efficient model like MobileNet expected to be better than without transfer learning in FruitNet model. Our contribution is applying efficient transfer learning MobileNet for Exotix Fruits in Indonesia which achieves 87% accuracy in average using more than 1000 images. The model performs better than previous model of FruitNet which only reaches 43% accuracy in average.