SIKAP DAN KEPUASAN KONSUMEN DALAM PEMBELIAN BOLEN PISANG CV MAYANG SARI DI KOTA BANDAR LAMPUNG

This study aims to determine attitudes, purchasing patterns and customer satisfaction on banana bolen CV Mayang Sari. This research method uses a survey method. Samples of this study consisted of 40 consumers who had purchased and / or consumed banana bolen 3 times. The data analysis methods used were descriptive, Fishbein's Multi-attribute model, Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA). The attributes used in this study are price, taste, flavor variants, size, texture, product packaging, and accessibility). The results showed that consumers liked banana bolen or had a good attitude with an Ao value of 132.52, the pattern of buying banana bolen CV Mayang Sari by 52.50 percent consumers, namely two boxes (20 pieces) of banana bolen in one transaction with the flavor variant that consumers are most interested in is chocolate 55 percent. The frequency of consumer purchases is 90 percent made once a month, customer Satisfaction Index (CSI) in consuming banana bolen CV Mayang Sari is in the very satisfied criteria, which is equal to 83.82 percent. Based on Importance Performance Analysis (IPA), there is one attribute that falls into quadrant I (Main Priority), namely the taste attribute. In quadrant II (Maintain Achievement) there is one attribute, namely the price attribute, while in quadrant III (Low Priority) there are attributes of size and ease of obtaining products, and in quadrant IV (Excessive) there are several attributes, namely texture, flavor variants, and product packaging.Key words: attitude, banana bolen, CSI, IPA

Sikap dan Tingkat Kepuasan Petani akan Introduksi Varietas Unggul Baru Padi Gogo

The development of rice irrigated farming is constrained by the conversion of land agricultural to non-agricultural. Therefore, policy to develop upland rice production in dryland and rainfed lowland is increasingly being implemented. Efforts to expand the application of technological innovations as a lever of upland rice production have intensified by introducing new superior varieties of upland rice. This research aims to analyze farmers' attitudes and satisfaction levels with introducing upland rice to attributes based. The location of this research is in Tegalgiri Village, Nogosari District, Boyolali Regency. Primary data were obtained through a survey method of 35 farmers who planted the Rindang 1, Rindang 2, Inpago 10, and Inpago 12 varieties. Farmer attitudes were analyzed using the Fishbein Multi-attribute Model, while farmer satisfaction level was analyzed using the customer satisfaction index (CSI). The results are the attributes "production" and "resistance to pests and diseases" were agronomic performance which was the most essential and primary consideration for farmers in choosing varieties. Farmers have a positive attitude towards the four new superior varieties. The meaning is that farmers want to adopt and plant the new superior varieties of upland rice. Farmers' satisfaction levels are in the "satisfied" to "very satisfied" category of the four new superior varieties. Hopefully, the new superior upland rice varieties that were introduced can be a choice of varieties by farmers. Keywords: atributtes, farmer’s attitude, satisfaction level, upland rice, superior varieties

Semisupervised Association Learning Based on Partial Differential Equations for Sparse Representation of Image Class Attributes

Semisupervised learning is an idea that addresses how to use a large number of unlabeled samples and a limited number of labeled samples to learn decision knowledge together. In this paper, we propose a multitask multiview semisupervised learning model based on partial differential equation random field and Hilbert independent standard probability image genus attribute model, i.e., shared semantics. In the framework of the image-like genus attribute model, data from different data sources are generated by their shared hidden space representation. Different from the traditional model, this paper uses the Hilbert independence criterion to inscribe the shared relationship of hidden expressions. Meanwhile, to exploit the correlations between labels in the label space as well, this paper uses the partial differential equation random field to inscribe the correlations between different kinds of labels in the label space and the correlations between hidden features and labels. Using the variational expectation-maximization algorithm, the whole generative process model can be inferred. To verify the effectiveness of the model, two artificial datasets and three real datasets are tested in this paper, and the experimental results verify the effectiveness of the algorithm in the paper. On the one hand, it not only improves the classification accuracy of the multiclassification problem and the multilabel problem; it also outputs the association structure between different kinds of labels and between hidden features and labels.

DEXiAqua, a Model to Assess the Sustainability of Aquaculture Systems: Methodological Development and Application to a French Salmon Farm

Aquaculture is increasingly considered a major contributor to the growing demand for worldwide seafood production. Sustainability is becoming a key issue for aquaculture systems, with the objective to produce seafood with lower environmental impacts and that is economically viable and socially fair. In the context of the SIMTAP project, a multi-attribute model called DEXiAqua was developed. DEXiAqua uses the DEX method to assess the sustainability of aquaculture systems via indicators from technical domains and reference methods (i.e., life cycle assessment, life cycle costing, social life cycle assessment, and emergy accounting) selected and organized by the partners in the SIMTAP project. The DEX method consists of building an attribute tree that is organized to characterize a complex problem. Qualitative or quantitative indicators are measured at the end of each branch of the tree. The value of each indicator is translated into a qualitative scale for the associated attribute via threshold values. Weighted utility functions are used to build attributes from sub-attributes until the attribute of overall sustainability is reached. DEXiAqua was applied to a case study of salmon farming in France, which illustrated its ability to assess overall sustainability and help identify ways to improve the production system by identifying environmental, social, and economic hotspots. More case studies are required to apply DEXiAqua to a variety of systems with technical and contextual differences, which could result in changing attribute weights to adapt it better to different contexts.

PENGAMBILAN KEPUTUSAN, SIKAP DAN KEPUASAN KONSUMEN TERHADAP PAKET NASI LIWET DI RMSASA BANDAR LAMPUNG

The study aims to know the decision making, attitude, and satisfaction of consumers towards steam rice package at The Sambel Alu Sultan Agung (RMSASA) Restaurant. The attributes studied consisted of price, scent, taste, size, benefit, side dish variation, dish appearance, cleanliness, location, parking area, comfort and safety place. This research was conducted by survey method. The respondents of this study consisted of 48 consumers who purchased liwet rice package for the first time. The research data was analyzed by description, Fishbein Multi-attribute Model, Customer Satisfaction Index (CSI,) and Importance Performance Analysis (IPA). The results showed that the consumer's decision-making process of purchasing steam rice package was influenced by consumers' desire to try liwet rice package besides their hunger. Sources of information obtained by consumers were mostly from people stories. Alternatives chosen by consumers when the liwet rice package ran out was switching to another menu. The calculation of attitude of consumers showed that consumers like the liwet rice package with multi-atribute value of 182.06. The highest score of attitude was taste, followed by cleanliness, comfort and safety place. The results of CSI analysis showed that consumers were satisfied with the liwet rice package with CSI value of 77.54. Meanwhile, based on IPA analysis, the attributes laid in quadrant I were aroma and location; quadrant II were cleanliness, taste, comfort and safety place; quadrant III were parking areas, price, size, and benefit; and quadrant IV were menu variation and dish appearance. Key words: attitude, CSI, IPA, steam rice, the decision making

Why people spread rumors on social media: developing and validating a multi-attribute model of online rumor dissemination

PurposeDealing with online rumors or fake information on social media is growing in importance. Most academic research on online rumors has approached the issue from a quantitative modeling perspective. Less attention has been paid to the psychological mechanisms accounting for online rumor transmission behavior on the individual level. Drawing from the theory of stimulus–organism–response, this study aims to explore the nature of online rumors and investigate how the informational characteristics of online rumors are processed through the mediation of psychological variables to promote online rumor forwarding.Design/methodology/approachAn experimental approach to this issue was taken; the researchers investigated how the informational characteristics of online rumors and the psychological mediators promote online rumor transmission.FindingsFour information characteristics (sense-making, funniness, dreadfulness and personal relevance) and three psychological motivators (fact-finding, relationship enhancement and self-enhancement) promote online rumor-forwarding behavior.Originality/valueBecause any online rumor transmitted on social media can go viral, companies may eventually encounter social media-driven crises. Thus, understanding what drives rumor-forwarding behavior can help marketers mitigate and counter online rumors.

Who Is Liable When a Driverless Car Crashes?

Autonomous vehicles (AVs) will revolutionize mobility in the future. However, accidents will still happen and it will affect the practices of today’s tort laws. This work discusses all those aspects which should be considered in order to find out who is liable, i.e., an operator, owner, manufacturer, government entity, software provider, network provider, original equipment manufacturer (OEM), etc., as traditional tort rules will not help to find out the liability in case of an AV accident. The work comprehensively discusses different liabilities ranging from legal, civil, operator, criminal, moral, product, insurance, etc., to find out who is liable in case of an AV accident, as compared to the existing literature which generally discusses one or two aspects only. The work also presents the current state of legislation and discusses legal challenges to the lawmakers, insurance companies, consumer, and manufacturers, etc. The future mobility models and different scenarios of AV accidents have also been discussed in terms of legal liability and third party insurance claims. The role of regulatory bodies and different challenges has also been discussed along with recommendations. Finally, the work also proposes a new novel liability attribute model with a particular focus on ethical issues. The research proposes that liability should be attributed in such a way that it benefits everyone and everybody feels justified in case of an AV accident. The research also concludes that product liability will be the major issue in terms of insurance issues and the manufacturer should be held liable for product failure unless other evidence favors the manufacturer.