Livelihoods as fishermen are the backbone for people who live near the coast, it is not much different from the people in Jobokuto village, Jepara Regency who also work as fishermen, so far the catches of fishermen after getting catches of fish are directly sold to middlemen or local fish auction sites, so that fishermen cannot increase fish catches to be processed into commodities that have high economic value so that their economy can increase. Based on this description, service activities are carried out to fishermen by providing training ranging from the potential of fisheries, the superiority of GPS and Sounder technology, increased catches on processed fish and stabilization of processed fish equipment ranging from fish shredder, shredded cooker, shredded slicer, bender, spinner as well as tools fish smoke. Some of these activities are expected to result in the end that fishermen SMEs can develop their businesses, increase catches and sales, and improve the welfare of fishermen in Jepara Regency. The activity is also expected to be a pilot project for other fishermen in the district in implementing fishing technology using a fish finder with the use of appropriate technology that is environmentally friendly.
This study wanted to produce a model for developing marketing strategy based on Information Technology (IT) is a form of marketing strategy development model by taking into account and utilize Information Technology. The purpose of this study was to better efficiency at enhancing the competitiveness of SMEs through the use of Information Technology. Micro, Small and Medium cultivated IT base is expected will be increased competitiveness. Objective: 1) undescrebed conditions of SMEs that have used information technology. 2) completion of a development model of IT-based marketing strategies that can be applied practically. 3) application models empirically, and 4) unprovable floating model application of IT-based marketing strategy. To achieve these objectives do action research approach, is research activities continued with implementation. Therefore, the model-based marketing strategy information technology into solutions for marketing problems of SMEs and increasing competitiveness.
ABSTRAKSetelah melakukan penelitian dan percobaan maka didapatkan hasil penelitian pertama yang telah dilakukan dengan menggunakan Algoritma Neural Network Backpropagatioan dengan menggunakan data sebanyak 268 menunjungkan tingkat akurasi error prediksi pada waktu prediksi per 5 menit sebesar 0.758619403, bila menggunakan data sebanyak 2047 menunjukkan tingkat akurasi error prediksi sebesar 0.500161212 dan hasil penelitian kedua yang telah dilakukan menggunakan Algoritma Optimasi Adaboost pada proses trainning dan ditambah Neural Network Backpropagation pada proses learning menunjukkan tingkat akurasi error prediksi pada waktu prediksi per 5 menit menggunakan data sebanyak 268 sebesar 0.397014925, bila menggunakan data sebanyak 2047 menunjukkan tingkat akurasi error prediksi sebesar 0.099951148. Tahap awal dalam melakukan penelitian ini sampai dengan pengujian menggunakan perhitungan prediksi nilai akurasi error menggunakan rumus MSE (Mean Sequare Error) dengan menggunakan algoritma optimasi adaboost untuk memberikan jawaban atas permasalahan bahwa nilai akurasi error Algoritma Neural Network Backpropagation perlu direndahkan agar akurasi prediksi meningkat dan tahap kedua dilakukan uji coba menggunakan data yang lebih banyak dibandingan dengan tahap ke satu. Berdasarkan hasil penelitian yang telah dilakukan, dapat disimpulkan bahwa Algoritma Neural Network memiliki akurasi yang lebih rendah bila dibandingkan dengan akurasi menggunakan metode optimasi adaboost pada proses trainning ditambah dengan Neural Network, ini dapat dilihat dengan rendahnya tingkat error MSE menggunakan metode adaboost + neural network dan dapat disimpukan pula bahwa dengan menggunakan jumlah data yang lebih banyak maka dapat menurunkan tingkat akurasi error MSE sehingga berhasil meningkatkan akurasi prediksi dalam bisnis forex trading. ABSTRACTAfter conducting research and experiments then showed the first research that has been done using Algorithm Neural Network Backpropagatioan using data from as many as 268 menunjungkan accuracy rate error prediction when the prediction per 5 minutes by 0.758619403, when using the data as much as 2047 showed levels of accuracy error prediction for 0.500161212 and the results of a second study was done using Algorithm Optimization Adaboost in the process of trainning and coupled Neural Network Backpropagation in the learning process indicates the level of accuracy error prediction when the prediction per 5 minutes uses as much data as 268 by 0.397014925, when using the data as much as 2047 showed levels of accuracy error prediction by 0.099951148.Early stage in conducting this study to test using the calculation value prediction accuracy error using the formula MSE (Mean Sequare Error) using optimization algorithms adaboost to provide answers to the problems that the accuracy error Algorithm Neural Network Backpropagation need to be humbled in order of prediction accuracy increases and the second stage conducted trials using more data compared with phase one. Based on the research that has been done, i...
Abstract. This article addresses the study controversy (research gap) of entrepreneurial orientation regarding marketing performance. The case study at hand, fashion SMEs, must present a distinct advantage due to intense competition. This advantage does not lie in how to create new products, but in how to build professional networks. Hence, the present article aims to develop a model for strengthening professional networks based on an entrepreneurial orientation to improve marketing performance. The population in this study comprises the leaders of fashion SMEs in Central Java, Indonesia. The sampling method employs a purposive 250 technique. The analysis technique uses SEM AMOS software. The results of the study show that proactiveness, risk-taking, and innovation have a significant and positive effect on professional network energy and marketing performance. In addition, the energy of professional networks mediates a strong relationship between proactiveness, risk-taking, and innovation in terms of marketing performance. Keywords: Proactiveness, risk-taking, innovativeness, energizing professional networks, marketing performance
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