Penggunaan Information Technology (IT) Terintegrasi Untuk Meningkatkan Kepuasan Konsumen Di Dhyana Pura Beach Resort, Bali

Dhyana Pura Beach Resort Bali is company which run on hotel service company. Remembering the competitions with any hotel now days to attract the tourist to stay at hotel, so it needs an effective promotion and excellent Service. That's why the hotel management need to make a good service excellent and correctly to competed at market, through Integrated System Information Management. This research has main problems, i.e. how the effect of technology information and to deliver the Customer Satisfaction at Dhyana Pura Beach resort, Bali? From the description above and the existing gap, the author outlines into three research problems that : 1. How Services and Infrastructure Information System Integrated in Dhyana Pura Hotel Beach Resort Bali ? Â 2. How Architectural Design Network infrastructure and Information System Integrated in Dhyana Pura Hotel Beach Resort Bali ? 3. How to Design Systems infrastructure and Hotel Information Systems Integrated in Dhyana Pura Beach Resort Bali? The method used in this study is a mix method qualitative and Quantitative research. The Discussion of the results of the study as follows: 1. Proliferation and use of ICT (Information Communication Technology) as the needs of today's service-oriented economy in Europe, Australasia, the United States and developing countries. 2. Design of a wireless network is built using the media as a media access point interconnections between each group of services. 3. The service at the hotel integrated information system can be divided into two categories

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database - enhanced coverage and open access

This article has 730 authors, of which I have only listed the lead author and myself as a representative of University of HelsinkiPlant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.Peer reviewe

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database - enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Agrotourism as the Economics Transformation of the Tourism Village in Bali (Case Study: Blimbingsari Village, Jembrana, Bali)

In this research is focused on tourist behavior and the local communities on the demand of agro tourism development. The study is aimed at formulating the best model to develop agro tourism in Bali. The model tourist attraction is expected by the rating is community activities, plantation area, and village's uniqueness. On the amenities, the tourist expect amenities which include, among others: local accommodations, tracking area, places to gain knowledge and experience, places to rest and relax, escape area, places to meet people and interaction, places to escape the daily routine, learning experiences, and new places. On the accessibility, the tourists rate that the distance of the village of Blimbingsari as the barriers factor, and difficult to reach by public transport. In addition to a considerable distance, the path that must be passed to the Village Blimbingsari also includes the busy lanes and frequent traffic jams. The results of the research that has been done indicates that Blimbingsari tourism village been managed well which is evident from their local community involvement as tourism committee, guide services or travel agents link, local guide services that handling by tourism committee, and government support by Regent licensee

The Changes in Business Culture After the COVID-19 Pandemic in Indonesian Perspective

The COVID 19 virus that hit the world not only caused damage to the health and safety of human souls but also had a very large impact on businesses in Indonesia. The impact of business is by decreasing people's purchasing power, decreasing consumers, causing companies to experience failure, and eventually terminating employment. The goal is to find out to what extent the impact of COVID 19 has changed the business culture in Indonesia. This research uses descriptive qualitative research where the research uses interview sources and the results are explored with a literature approach through expert studies and other scientists. The results of the study explain that the approach and approach taken by business people have changed, especially in the areas of sales methods, approaching buyers, and also marketing strategies

Indigenous Peoples' Economic Empowerment Model as a Strategy in Accelerating National Economic Development: Case Study of Betawi Adat, Sundanese and Aceh Adat

Customary-based economic institutions aim to maintain the local wisdom of the community and accelerate national economic development. The economic life of the community has increased welfare through the empowerment of their customs. In the first year (2019) conducted research on indigenous peoples in 3 provinces: Bali which succeeded in developing the Village Credit Institution (LPD), the Batak indigenous people in North Sumatra succeeded in developing CU Ate Keleng, and the indigenous Dayak people in Central Kalimantan succeeded in developing CU Betang Asi. In the 2nd year (2020) conducted research on the indigenous peoples of 3 provinces: Betawi in DKI Jakarta which succeeded in developing the service cooperative "Jakarta Tentram Sejahtera", the Sundanese indigenous people in West Java succeeded in developing the North Bandung Cattle Breeders Cooperative (KPSBU) Lembang and Social Entrepreneurship The Big Price Cut Group, and the Acehnese indigenous people in Aceh have succeeded in developing the economy with the Baitulmal concept. With this business sector, it can empower indigenous peoples and at the same time improve the economy and welfare of their people. The empowerment of indigenous peoples is based on the concept that every member of the community has an obligation to support their respective customary activities. The customary institutions or types of businesses that exist in each location of this research aim to make it easy for the community to get capital in developing their respective businesses and in selling their products. With the existence of this financial institution, indigenous people experience an increase in their economy and welfare. To achieve this goal maximally and to find a model of economic empowerment for indigenous peoples that can be used as a model for the economy throughout Indonesia, in the 3rd year (2021) research will be continued in the Provinces of Maluku, West Sumatra, and South Sulawesi. In general, this research aims to produce an economic model for indigenous peoples as a strategy to accelerate national economic development. Specific objectives: To find out how indigenous peoples develop their economic systems; to identify forms of economic institutions for indigenous peoples in Indonesia, and to formulate a model for the economic empowerment of indigenous peoples as a strategy for accelerating national economic development. Researchers used qualitative and quantitative descriptive methods (mixed method) with a comparative case study type. Thus, this research is expected to obtain a model in order to accelerate national economic development. Data were collected and analyzed by means of observations, interviews, and documents. The mandatory output of this research is the economic model of indigenous peoples

The Legacy of Local Wisdom Education Models for the Next Generation of Toraja, Indonesia

This paper presents several reflections, structured around the theme of local wisdom, on classical and experimental patristic education visions. A depiction of Toraja local wisdom on something more than human attainment or divine attributes. Finally, this paper can be a legacy of local wisdom education models that are passed down to the next generation. This study describes that the value of education in Tongkonan has existed since the primitive times of the Toraja people, played in every aspect of life. The cultural learning experiment in Tongkonan begins with working solidarity and ends with the distribution of food in the form of pork and buffalo meat. Such educational dynamics occur in joyful mourning and thanksgiving ceremonies for Toraja traditional houses and the face of tough work. Philosophy of learning The basic thing that can be found in the Toraja culture is hard work and sincerity, solidarity with others in fellowship. The value of education in Tongkonan has existed since the primitive days of the Toraja people, by developing an educational model or experimental learning in Tongkonan with a cybernetics system, namely the first party to educate children in the family than the second party in the model. patron-client for generations