The Concept of Model-View-Controler (MVC) as Solution Software Development

Pengembangan perangkat lunak adalah tugas kompleks dan membutuhkan adaptasi untuk mengakomodasi kebutuhan pengguna. Untuk membuat konsep dan Perubahan perangkat lunak, dalam pemeliharaan, sekarang telah dikembangkan lebih mudah dalam pengembangan perangkat lunak, pola model-view-controller, yang merupakan arsitektur yang dapat membantu memfasilitasi dalam pengembangan dan pemeliharaan perangkat luna. Hal ini, karena dalam arsitektur model tiga-lapis, yaitu: tampilan dan pengontrolan dalam pembangunan dilakukan secara independen, sehingga dapat memberikan dahan dalam pengembangan dan pemeliharaan. Selain itu, arsitektur ini juga dapat melihat hal-hal yang sederhana dan menarik bagi pengguna. Software sistem on-line test adalah perangkat lunak yang memerlukan interaksi dengan pengguna, dan pemeliharaan perangkat adaptif. Karena sistem ujian on-line memerlukan pengembangan perangkat lunak untuk mengakomodasi kebutuhan ini berkembang dengan cepat. Makalah ini untuk menganalisis Model-View-Controller dan mencoba pembangunan, untuk menerapkannya dalam pengembangan perangkat lunak sistem pengujian on-line.&nbsp

Growth and production of soybean (Glycine max (L.) Merill) with different fertilizer strategies in a tidal soil from South Sumatra, Indonesia

The efforts to improve soybean growth and production in tidal lands include applying lime, supplying some nutrients, and using improved varieties. The objective of this study was to find the effect of lime and NK fertilizer application for soybean (&lt;em&gt;Glycine max &lt;/em&gt;(L.) Merill)&lt;em&gt; &lt;/em&gt;growth in tidal land. The research was conducted at the greenhouse of the Agriculture Faculty of Sriwijaya University. The pot experiments used a complete randomized design arranged factorially with two factors. The first factor was six levels of lime (i.e., 0 ton ha&lt;sup&gt;-1&lt;/sup&gt;, 0.81 tons ha&lt;sup&gt;-1&lt;/sup&gt;, 1.63 tons ha&lt;sup&gt;-1&lt;/sup&gt;, 2.45 tons ha&lt;sup&gt;-1&lt;/sup&gt;, 3.26 tons ha&lt;sup&gt;-1&lt;/sup&gt;, and 4.07 tons ha&lt;sup&gt;-1&lt;/sup&gt;),and the second factor was two levels of fertilizer (i.e., site-specific fertilizer and fertilizer calculated based on FAO criteria) and fertilizer recommended by South Sumatera Agricultural Research. Each treatment combination was made of three replications; the total number of treatment pots was 36. The measured variables were plant height, number of pods, number of nonempty pods, number of seeds, weight of 100 seeds, and production. The results showed that liming significantly increased plant height, total number of pods, number of nonempty pods, number of seeds, weight of 100 seeds, and soybean production, while fertilizer did not significantly affect all variables. The interaction between fertilizer and lime significantly affected plant height and the weight of 100 seeds. Lime application of 3.26 tons ha&lt;sup&gt;-1&lt;/sup&gt; gave the highest yield on lime treatment only with production at 2.853 tons ha&lt;sup&gt;-1&lt;/sup&gt; compared to other treatments.</jats:p

Determining the stock status of snapper (Lutjanus sp.) using surplus production model: a case study in Banyuasin coastal waters, South Sumatra, Indonesia

Abstract Snapper (Lutjanus sp.) is an economically important fish for local fishermen in Banyuasin coastal water of South Sumatra. However, the current and historical stock of this species is still unknown. This study was aimed to estimate the stock status of Lutjanus sp. in the Banyuasin coastal waters. The annual catch and effort data were analyzed from 2008 to 2016. The different surplus production models were tested to obtain the best-fitted model based on the sign suitability test, model performance test, and multiple criteria analysis. The results indicated that the best-fitted model for Lutjanus sp. was the Fox model. The model had the best value for the determination coefficient (R2 = 97.2%), Nash-Sutcliffe Efficiency (-0.277), Mean Absolute Deviation (29.198), Mean Square Error (1,190.522), Root Mean Square Error (34.504), and RMSE-observations Standard Deviation Ratio (1.13), whereas the value of Mean Absolute Percentage Error (0.05) was the second-best value. The optimum effort (Eopt), maximum sustainable catch (CMSY), and total allowable catch were 22.236 trips/year, 623 ton and 498 ton/year, respectively. Based on plotting the effort and exploitation level (141%; 102%) in 2016, the stock status of Lutjanus sp. indicated depleting stock, the high fishing pressure and could encourage overfishing stock in the future.</jats:p