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This paper aims to review the current development of vessels with solar power to reference the research and development of solar power vessels in Indonesia. The research method is a systematic literature review on the development of solar-powered vessels and includes an online survey of vessels using solar PV. This study found 86 solar-powered vessels consisting of boats, utility boats, ferries, houseboats, research, vehicle carriers, dive boats, and yachts developed from 1988 to 2020. These solar-powered vessels were built for various functions such as competitions, cleaning the environment, passenger transportation, and water tourism.  Production of solar-powered vessels is increasing in terms of production volume, PV capacity, and battery capacity. In terms of PV configuration, the solar array is dominated by a fixed array structure. However, there have been innovations using sun-tracking, wind tracking airfoils, and expandable channels to increase PV capacity.

Brain gain is one approach innovation to the regeneration of agriculture and ruraldevelopment actors who are a warm discourse in the world. Independence developmentof agribusiness young actors (AYA) are educated and skilled representation of brain gainprocess. As a complex process, brain gain needs to be initiated and developed into aregeneration policy in Indonesia. Quality management business perspective asserts, toarrive at a policy, it is necessary strategies. This study aims to formulate a independencedevelopment strategy of AYA. Articles that are designed in mixed method describes thelevel independence of AYA and formulate independence development strategy of AYA usinganalytical tools SEM and SSM. The study shows, the level independence of AYA relativelyless, particularly aspects of quality and competitiveness. Hybrid and collaborative strategycan be done to strengthening aspects of readiness, personal factors, pull factors and pushfactors the significant effect, both quantitatively and qualitatively.

Dampak positif yang ditimbulkan dari perkembangan teknologi salah satunya adalah kemudahan dalam menyampaikan aspirasi dan dalam mendapatkan informasi dengan sangat cepat. Manfaat dari perkembangan teknologi ini dapat dirasakan oleh semuassektor, termasuk sektor pemerintahan yang harus mengayomi masyarakat dan negara. Dalam meningkatkan kualitas pelayanan publik, pemerintah harus menerapkan pemerintahan yang berbasis teknologi informasi digital.  Oleh karena itu, Pemerintah pusat maupun daerah telah menyediakan layanan pengaduan masyarakat yang berbasis online. Untuk meningkatkan kualitas pelayanan maka sistem pengaduan online harus berjalan dengan optimal. Metode yang banyak digunakan untuk mencari kemiripan teks pengaduan adalah metode cosine similarity dan metode Artificial Neural Network (ANN) untuk klasifikasi data pengaduan. Penelitian ini mereview penerapan kedua metode tersebut untuk mengetahui tingkat akurasinya sebelum dapat di implementasikan pada sistem pengaduan online.  Hasil dari review menyatakan bahwa metode Cosine Similarity memiliki tingkat akurasi sebesar 71,5% dan ANN memiliki tingkat akurasi sebesar 77%. Sedangkan metode lainnya memiliki tingkat akurasi sebesar 67%. Dari presentase nilai tersebut dapat disimpulkan bahwa penggunaan metode Cosine Similarity dan ANN layak untuk digunakan dalam mengklasifikasikan data pada Sistem Pengaduan Masyarakat Online

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