Penilaian Wisatawan Terhadap Komponen Destinasi Wisata: Atraksi, Amenitas, Aksesibilitas dan Pelayanan Tambahan Pada Objek Wisata Kebun Raya Liwa

The development of a tourist attraction must pay attention to the tourists’necessity. To fulfill these needs there are 4 main components that must be fulfilled. This study aims to determine the assessment of tourists to the 4 main components (attraction, amenities, accessibility, and ancillary service) on the natural attractions of the Liwa Botanical Garden. This research was carried out in the Liwa Botanical Garden located in Kubu Perahu Village, Balik Bukit District, Liwa City, West Lampung Regency. Data was collected for 100 tourists by accidental sampling. Data analysis using a likert scale and data scoring. The results showed that of the 4 components of tourist destinations in the KRL object, only the attraction component had adequate value. The three other components (accessibility, safety and ancillary services) are in the sufficient category so that it would be better if there were improvements to the indicators of the 3 other variables such as: addition of public transportation, control of parking areas, addition of food stalls, procurement of lodging for public, improvement of central services information, the addition of public toilets, provided a special place to buy souvenirs, giving pictures of the types of rubbish in the trash, and need to add a communication network spot so that tourists feel more comfortable and enjoy their visit.

In defense of decentralized research data management

Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

A Methodological Approach on Disused Public Properties in the 15-Minute City Perspective

Accessibility and Walkability represent, today, some of the most striking challenges contemporary cities are facing, particularly in light of the goals from UN Agenda 2030, aimed at a sustainable city, and particularly in terms of a livable, healthy and inclusive city. This can be also performed thanks to a set of high quality public services and a set of important and central services and infrastructures. These principles, however, are constrained by an overall, general fragmentation affecting many urban areas, particularly as an outcome of the vehicular accessibility needs. Scholars have debated through the years on the nature of cities and on the preference for centrality of services compared to the distribution of services towards dispersed neighborhood units. Recently, a need for a wider, minimum set of services that is easily reachable to most citizens is filling the scholars and city mayors’ agendas in order to improve urban performances. This is also coupled with a huge surge in the heritage of abandoned urban items coming from previous periods of time and alternative uses. The aim of this research is to evaluate the role of abandoned urban assets—particularly big-size buildings and compounds and their areas—to facilitate the implementation of the concept of a 15-minute city, a city that is capable of granting a wider social equality and access to main urban services to citizens and city users. To do this, we developed a set of indexes, capable of detecting porosity, crossing and attractiveness. This latter index in particular represents a combined index that can be used to improve the accessibility of pedestrians in urban central locations. In the present research, we decided to limit the analysis to a subset of disused public buildings in the historic center of a sample city, as Cagliari (Sardinia, Italy). This was done in order to understand if and in which terms they can contribute, after their redevelopment, to the development of the 15-minute city, as well as reducing the “enclave–effect: they are, at present, playing in the historic urban fabric.

An Archival Repository of Archival Repositories: integrating metadata in Archives Portal Europe

Since 2009, in parallel with the creation of national or local research portals, countries around Europe have started to design a system to integrate these online allowing to access Europe’s archival heritage through one single entry point. In 2012, after three years of research, Archives Portal Europe (APE) opened up to all institutions holding archival material about Europe. Today, the portal enables new types of digital archival research, freed from geographical limitations and based on cross-country comparison and multilingualism. At the same time, establishing a common basis for the central services of the portal to allow for the searching, processing, and displaying of the archival material of thousands of institutions comes with important technical (as well as political) challenges. This paper presents challenges and solutions adopted by Archives Portal Europe as a multi-level international aggregator.

ATLAS Distributed Computing: Its Central Services core

The ATLAS Distributed Computing (ADC) Project is responsible for the off-line processing of data produced by the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. It facilitates data and workload management for ATLAS computing on the Worldwide LHC Computing Grid (WLCG). ADC Central Services operations (CSOPS) is a vital part of ADC, responsible for the deployment and configuration of services needed by ATLAS computing and operation of those services on CERN IT infrastructure, providing knowledge of CERN IT services to ATLAS service managers and developers, and supporting them in case of issues. Currently this entails the management of 43 different OpenStack projects, with more than 5000 cores allocated for these virtual machines, as well as overseeing the distribution of 29 petabytes of storage space in EOS for ATLAS. As the LHC begins to get ready for the next long shut-down, which will bring in many new upgrades to allow for more data to be captured by the on-line systems, CSOPS must not only continue to support the existing services, but plan ahead for the expected increase in data, users, and services that will be required. This paper attempts to explain the current state of CSOPS as well as the strategies in place to maintain the service functionality in the long term.

Storage events: distributed users, federation and beyond

For federated storage to work well, some knowledge from each storage system must exist outside that system, regardless of the use case. This is needed to allow coordinated activity; e.g., executing analysis jobs on worker nodes with good accessibility to the data. Currently, this is achieved by clients notifying central services of activity; e.g., a client notifies a replica catalogue after an upload. Unfortunately, this forces end users to use bespoke clients. It also forces clients to wait for asynchronous activities to finish. dCache provides an alternative approach: storage events. In this approach the storage systems (rather than the clients) become the coordinating service, notifying interested parties of key events. At DESY, we are investigating storage events along with Apache OpenWhisk and Kubernetes to build a "serverless" cloud, similar to AWS Lambda or Google Cloud Functions, for photon science use cases. Storage events are more generally useful: catalogues are notified whenever data is uploaded or delete, tape becomes more efficient because analysis can start immediately after the data is on disk, caches can be "smart" fetching new datasets preemptively. In this paper we will present work within dCache to support a new event-based interface, with which these and other use cases become more efficient.

The Security model of the ALICE next generation Grid framework

JAliEn (Java-AliEn) is the ALICE next generation Grid framework which will be used for the top-level distributed computing resources management during the LHC Run 3 and onward. While preserving an interface familiar to the ALICE users, its performance and scalability are an order of magnitude better than the currently used framework. To implement the JAliEn security model, we have developed the so-called Token Certificates – short lived full Grid certificates, generated by central services automatically or on the client’s request. Token Certificates allow fine-grained control over user/client authorization, e.g. filtering out unauthorized requests based on the client’s type: end user, job agent, jobpayload. These and other parameters (like job ID) are encrypted in the token by the issuing service and cannot be altered.The client-side security implementation is further described in aspects of the interaction between user jobs and job agents. User jobs will use JAliEn tokens for authentication and authorization by the central JAliEn services. These tokens are passed from the job agent through a pipe stream, not stored on disk and thus readily available only to the intended job process. The level of isolation of user payloads is further improved by running them in containers. While JAliEn doesn't rely on X.509 proxies, the backward compatibility is kept to assure interoperability with services that require them.

Data Curation Network: A Cross-Institutional Staffing Model for Curating Research Data

Funders increasingly require that data sets arising from sponsored research must be preserved and shared, and many publishers either require or encourage that data sets accompanying articles are made available through a publicly accessible repository. Additionally, many researchers wish to make their data available regardless of funder requirements both to enhance their impact and also to propel the concept of open science. However, the data curation activities that support these preservation and sharing activities are costly, requiring advanced curation practices, training, specific technical competencies, and relevant subject expertise. Few colleges or universities will be able to hire and sustain all of the data curation expertise locally that its researchers will require, and even those with the means to do more will benefit from a collective approach that will allow them to supplement at peak times, access specialized capacity when infrequently-curated types arise, and stabilize service levels to account for local staff transition, such as during turn-over periods. The Data Curation Network (DCN) provides a solution for partners of all sizes to develop or to supplement local curation expertise with the expertise of a resilient, distributed network, and creates a funding stream to both sustain central services and support expansion of distributed expertise over time. This paper presents our next steps for piloting the DCN, scheduled to launch in the spring of 2018 across nine partner institutions. Our implementation plan is based on planning phase research performed from 2016-2017 that monitored the types, disciplines, frequency, and curation needs of data sets passing through the curation services at the six planning phase institutions. Our DCN implementation plan includes a well-coordinated and tiered staffing model, a technology-agnostic submission workflow, standardized curation procedures, and a sustainability approach that will allow the DCN to prevail beyond the grant-supported implementation phase as a curation-as-service model.