User satisfaction is a major factor in designing a product. Technically it can be realized explicitly how the product is designed according to the needs of its users. There are other factors that influence the success of the product, the psychological value of the user who can implicitly become a parameter in product design. But the thing that becomes a constraint is how to translate these psychological factors into the parameters of product design. Kansei Engineering (KE) is one approach in product design that involves the user's psychological side and how to translate the cognitive aspects of the user into the product of the design proposal. The KE methods, the one discussed in this study, is Kansei Engineering Type 1 (KEPack), which involves several multivariate analyzes. The conclusion of this research is how KE in designing a product, not only industrial product, but KE can be involved in matters related to Human Computer Interaction, especially interface design. Keywords: Product Development, Kansei Engineering, Kansei Engineering Type 1 (KEPack)
Abstrak: Desa Waluran merupakan desa penyangga yang ada di Kawasan Wisata Geopark Ciletuh. Dengan dekatnya Desa Waluran Mandiri pada Objek Wisata Geopark Ciletuh belum memberikan kontribusi perekonomian dalam peningkatan kesejahteraan masyarakat. Padahal di daerah ini terdapat industri “Keripik Enye” yang dapat diangkat menjadi potensi lokal yang dapat menarik perhatian turis Geopark Ciletuh. Bahan baku yang melimpah yakni Singkong banyak dijumpai di Desa Waluran, sehingga terdapat 3 sentra pabrik pembuat enye yang rata-rata produksinya dari 100 kg singkong mentah menghasilkan 38 kg “Keripik Enye”. Pabrik Enye ini memiliki sejumlah pekerja yang seluruhnya merupakan warga asli Desa Waluran. Pekerja Pabrik Enye didominasi perempuan usia rata-rata 25-40 tahun dan hanya mengandalkan penghasilan di Pabrik Enye tersebut. Permasalahan yang dihadapi adalah secara umum masyarakat belum menyadari bahwa “Keripik Enye” khas Waluran dapat diangkat menjadi produk potensi daerah yang dapat menarik minat para turis yang akan berwisata ke Geopark Ciletuh. Untuk menunjang hal tersebut maka dilakukan (1) inovasi produk; (2) promosi media online dengan YouTube dan Instagram; (3) pengurusan Perizinan Industri Rumah Tangga (P-IRT); (4) Kerjasama dengan Dinas Pariwisata Kabupaten Sukabumi. Sehingga hasil akhir yang didapatkan adalah terjadi peningkatan penjualan dan produk “Keripik Enye” menjadi dikenal sebagai produk lokal khas Waluran.Abstract: Waluran Village is one of buffer village in Geopark Ciletuh tourism area. With proximity to the Geopark Ciletuh tourism area, it has not given an economic contribution to improving community welfare. Even though in this area there is “Keripik Enye” Home Industry which can be appointed as local potential for attracting attention Ciletuh Geopark Tourists. The abundant raw materials that is Cassava, can be found in Waluran Village so that there are 3 centers of “Keripik Enye” Home Industry which produces 38 kg(s) from 100 kg of raw Cassava in every day. The workers of “Keripik Enye” Home Industry is dominated by women in 25 to 40 average years and only rely on working in Home Industry “Keripik Enye”. The general problem which faced by people in Waluran Village is they do not realize that Waluran’s “Keripik Enye” could be adopted as a local potential product which can attract to the tourists who traveled to Ciletuh Geopark. Things which are done to solve the problems are (1) Doing product innovation; (2) Accompaniment in online promotion; (3) Accompaniment in Licensing of Home Industry; (4) Cooperation to Government tourism office of Sukabumi District. The results of this action are the growth of sales product and “Keripik Enye” is known well as Waluran’s local potential product.
The aquaculture production sector is one of the suppliers of global food consumption needs. Countries that have a large amount of water contribute to the needs of aquaculture production, especially the freshwater fisheries sector. Indonesia is a country that has a large number of large bodies of water and is the top-five producer of aquaculture production. Technology and engineering continue to be developed to improve the quality and quantity of aquaculture production. One aspect that can be observed is how the condition of fish pond water is healthy and supports fish growth. Various studies have been conducted related to the aquaculture monitoring system, but the problem is how effective it is in terms of accuracy of the resulting output, implementation, and costs. In this research, data fusion (DF) and deep reinforcement learning (DRL) were implemented in an aquaculture monitoring system with temperature, turbidity, and pH parameters to produce valid and accurate output. The stage begins with testing sensor accuracy as part of sensor quality validation, then integrating sensors with wireless sensor networks (WSNs) so they can be accessed in real time. The implemented DF is divided into three layers: first, the signal layer consists of WSNs and their components. Second, the feature layer consists of DRL combined with deep learning (DL). Third, the decision layer determines the output of the condition of the fish pond in “normal” or “not normal” conditions. The analysis and testing of this system look at several factors, i.e., (1) the accuracy of the performance of the sensors used; (2) the performance of the models implemented; (3) the comparison of DF-DRL-based systems with rule-based algorithm systems; and (4) the cost effectiveness compared to labor costs. Of these four factors, the DF-DRL-based aquaculture monitoring system has a higher percentage value and is a low-cost alternative for an accurate aquaculture monitoring system.
The current Islamic Inheritance sharing needs the third party or the expert to help in calculating the inheritance. The manual inheritance calculating, by calculating one by one can make could make the wrong result which caused by human error. The application Islamic inheritance designed as web based application using PHP and MySQL which help the people to learn Faraidh or calculate the Inheritance. In the application user could know Islamic theorem which used as Islamic Legal to decide the inheritance result. Calculating method using forward chaining, which the decision is taken when the data is collected and inputted to the system. The purpose of this research is could help the people for learning and doing inheritance calculating based on the rules of Qur'an
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