Whiteleg shrimp (Litopenaeus vannamei) is one of the important aquaculture commodities. This is due to high demand and farming with high stock densities. However, whiteleg shrimp farming is generally large scale, so that farmers with small capital cannot carry out business activities. In this paper, an intensive assessment of four whiteleg shrimp technologies has been carried out with seven criteria. Four intensive shrimp farming technologies are biofloc technology, supra intensive, shrimp farming in mini scale with tarpaulin (BUSMETIK), and Recirculating Aquaculture System (RAS). Seven criteria that used in the assessment are affordability of capital and operational costs on a mini scale, minimum land area for shrimp farming, dependence on the location of raw water sources, environmental friendly, productivity, energy consumption, and biosecurity. The assessment was carried out using the Analytical Hierarchy Process (AHP) method to assess the compatibility of different technologies to low investment. The results of the AHP method show that RAS is ranked first for intensive shrimp farming technology for small farmers. Then followed by supra intensive, BUSMETIK and biofloc technology. Most of the criteria used in the AHP calculation are the advantages that RAS is very suitable for small farmers.

Besides minimizing environmental impact, one of the goals of ecological intensification for aquaculture is production. Production forecasting is needed to make policies in planning, especially in terms of meeting consumer demand. This paper introduces a method to forecast the total shrimp production for Litopenaeus vannamei and Penaeus Monodon in Indramayu Regency using artificial neural networks. In this case, we used backpropagation neural networks (BPNN). BPNN is a supervised learning algorithm and usually used by perceptron with many layers to change the weights associated with the neurons in the hidden layers. During the training process, the network calculated the output that will be generated based on the given input patterns. The network assigned and adjusted the weights of the input and also the hidden layer to obtain a network with good performance. Networks with small error values close to zero indicate good performance. The criteria used to test the performance of the artificial neural networks method are the root mean squared error (RMSE), the mean absolute percentage error (MAPE), and the correlation coefficient (r). Production data obtained from the relevant government agencies were used to train the algorithms as a part of an artificial intelligence process. This artificial intelligence forecasted the shrimp’s harvest. Forecasting performance is indicated by the accuracy of the prediction process data compared to the real data. The best result for L. vannamei forecasting was obtained in the trainGD with MSE 0.0174 and MAPE 19.28%. The best results P. monodon forecasting were obtained in the TrainRP with MSE 0.0200 and MAPE 22.99%.

ABSTRAKTingginya permintaan lobster laut di pasar nasional maupun internasional serta adanya pembatasan ukuran lobster yang boleh ditangkap dari alam menyebabkan tingkat ketersediaan lobster di pasaran menjadi berkurang, di sisi lain, kegiatan budidaya maupun pembesaran lobster belum berkembang dengan baik. Oleh karena itu, diperlukan suatu penelitian terkait dengan pembesaran lobster. Penelitian pembesaran lobster di alam tidak terlepas dari teknologi kompartemen yang digunakan, untuk itu penelitian mengenai rekayasa teknologi kompartemen pembesaran lobster laut penting untuk dilakukan. Tujuan penelitian ini adalah mengetahui tipe kompartemen yang paling efektif untuk pembesaran lobster pasir di Pantai Sepanjang, Yogyakarta dengan melakukan pengukuran berat dan panjang karapaks lobster. Hasil dari penelitian ini menunjukkan bahwa kompartemen lobster yang paling efektif untuk pembesaran lobster pasir adalah kompartemen berbentuk silinder, dengan ukuran 200 lt dan diameter lubang pada selimut tabung 3 cm dibandingkan dengan kompartemen kontrol dan seluruh kompartemen modifikasi.Kata kunci: kompartemen dasar, lobster pasir (Panulirus homarus), Pantai Sepanjang. ABSTRACT PENDAHULUANLobster laut merupakan komoditas yang bernilai tinggi baik di pasar nasional maupun internasional. Secara global, permintaan lobster laut naik sekitar 15 % per tahun. Kenaikkan permintaan ini digerakkan oleh pasar internasional, terutama Cina. Di Indonesia, lobster diekspor oleh pusat-pusat niaga di Bali dan Surabaya (Jones, 2008). Teknologi perekayasaan sarana budidaya lobster laut telah dilakukan di beberapa negara dunia, akan tetapi belum dapat diaplikasikan secara global. Hal ini dikarenakan perbedaan jenis lobster dan kesesuaian dengan kondisi lingkungan di berbagai negara. Indonesia sebagai negara kepulauan dengan beragam kondisi pantai merupakan daerah endemik udang karang atau biasa disebut lobster.Di Indonesia terdapat sekitar enam jenis lobster yang merupakan spesies asli, diantaranya

The minimal availability of fresh water during the dry season seems to be a classic problem that occurs in Pamekasan Regency. Based on data from the Regional Disaster Management Agency (BPBD) of the Pamekasan Regency Government, it shows that the drought that occurred in Pamekasan in 2019 was 325 hamlets in 82 well-known villages in 11 sub-districts. This data shows that most of the coastal areas in Pamekasan Regency are still experiencing a fresh water crisis. Therefore, alternative water treatment is needed to help provide fresh water in this area. Desalination is an important technology for coastal areas far from fresh water sources. The main objective of this study is to create a mini design for reverse osmosis desalination (RO) production in coastal areas to supply fresh water at the hamlet scale. The RO design for fresh water production of 5 m3/day is compact with brackish water well as raw material which has a TDS ranging from 5,000-10,000 ppm. In addition, this study also analyzes the economics of small-scale desalination based on the Revenue Cost Ratio (RC Ratio) with an RC Ratio value of 5.03, a Payback Period value of 0.17 years (2 months), and a production Break Event Point (BEP). Amounting to 149,007 liters (7843 gallons) and a BEP price of IDR 79.47/liter, the small-scale desalination business is declared profitable and feasible to be realized.

Dissolved oxygen is one of the important parameters in fish farming in floating net cage in reservoirs or lakes. However, dissolved oxygen will decrease due to upwelling. In this study, an aerator trial was conducted in floating net cages in reservoir. The data obtained were analyzed descriptively and statistically. The results obtained show that the aerator can increase the level of dissolved oxygen in the floating net cage area with different magnitudes from 0.05 mg/L - 1.3 mg/L especially in especially at 4 and 5 m depths because output pipe length was 4 m for aeration.