Kesiapan Indonesia Membangun Ekonomi Digital Di Era Revolusi Industri 4.0

Perkembangan teknologi informasi dan komunikasi serta internet, yang secara tak terduga telah diakselerasi oleh kehadiran pandemi, dalam sekejap mengubah kehidupan sosial dan perekonomian. Era Revolusi Industri 4.0 membawa transformasi digital ke dalam kehidupan ekonomi dan masyarakat dan melahirkan sebuat ekonomi digital. Permasalahan di Indonesia dalam menghadapi ekonomi digital diantaranya mulai dari proses perijinan dan pemberian lisensi bisnis yang masih berjalan lambat, hingga belum tercapainya efisiensi sistem rantai pasok dan rantai nilai produk digital. Kekuatan Indonesia untuk membangun ekonomi digital mulai dari pembangunan infrastruktur TIK dan internet hingga pemodalan untuk start-up Indonesia yang mencapai jumlah 2.300 perusahaan. Ancaman yang dihadapi diantaranya mulai dari kejahatan siber, daya tawar pembeli yang tinggi, hingga belum dimilikinya nerve center platform dalam negeri. Beberapa upaya yang telah dijalankan oleh pemerintah adalah menyusun strategi Making Indonesia 4.0, membangun SPBE, gerakan 100 smart city, menyiapkan Undang-undang yang mengatur tentang informasi dan transaksi elektronik, menetapkan Lighthouse 4.0, serta mengadakan gerakan Ayo Belanja Online.

EAST JAVA HALAL TOURISM OUTLOOK: POTENTIAL ANALYSIS AND STRATEGY FOR EAST JAVA HALAL TOURISM DEVELOPMENT

East Java is included in the strategic area of national halal tourism development by the Ministry of Tourism. This was supported by the existence of religious tourism objects, natural and artificial tourism attractions, organizing annual cultural events, and adequate infrastructure. The purpose of this research is to review the potential and formulate strategies for the development of halal tourism in East Java. This research uses secondary data with qualitative method and SWOT analysis technique. Internal analysis shows the strengths and weaknesses factor as well as external analysis shows the opportunity and challenge factors of weakness in the development of halal tourism in East Java. Strength factors include diversity of tourist destinations, infrastructure to support the mobility of tourists, and level of tourist visits. Weakneses factors include promotion and branding, skilled human resources, as well as supporting facilities for halal tourism. Opportunity factors include government policy support, existence of supporting institutions and international reputation of halal tourism Indonesia. Threat factors include economic stability, security stability and competition for the halal tourism industry. Based on the analysis of internal and external factors, the formulation of the development strategy of halal tourism in East Java among others : a) S-O strategy: encouraging domestic and foreign investment in the development of halal tourism in East Java; b) W-O strategy: development of East Java halal tourism information center platform; c) S-T strategy: create a brand identity for East Java halal tourism titled “Khazanah Jawa Timur”; d) W-T strategy: establishment of special economic zone for east java halal tourism.

INTELLIGENT AGRICULTURE IN STEAM CENTERS

The article presents a conceptual model and architecture of the ATOS (Artificial intelligence for agriculture TO Steam center) platform, designed for STEAM centers. The theoretical basis of the platform is the concept of „integrated domains“, developed in accordance with the work program of the National Scientific Program „Intelligent Agriculture (2021-2024)“ (NSP). The basic component in this program is ViPS, which is a reference architecture for building cyber-physical applications, which is adapted for different domains as e-learning, digitization of cultural and historical heritage, smart agriculture and smart city. One of the main goals of the program is to involve young researchers (including school students) in the problems of intelligent agriculture. The idea of ATOS is to maintain an integrated domain „intelligent agriculture – STEAM Center“, using the information resources of the NSP to provide training units mainly on the subject of biology and its applications in intelligent agriculture, as well as on topics such as artificial intelligence, robotics, game-based learning. A key component of the ATOS platform is a personal intelligent student assistant mounted on a third-generation Robobo robot.

Ontology Service Center: A Datahub for Ontology Application

With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology.

Design of a Novel Cross Beam Six-Dimensional Force Sensor

To measure dynamic forces more accurately, a novel elastomer of a six-dimensional force sensor was proposed. The sensor adopted a new inner ring to replace the center platform of the traditional cross beam sensor. Determined the connection mode of the Wheatstone full-bridge circuit, which could realize theoretical decoupling. Then, the key size parameters of the sensor were analyzed by response surface analysis ,and the regression equations between the response value and the key sizes of the elastomer were established, which provided a theoretical basis for the sensor design. The analysis results of the examples in this paper show the sensor has good dynamic performance, with the first-order natural frequency as high as 3196.30Hz. Designed the size parameters by response surface analysis to improve the sensitivity of each force component, which increased the sensitivity of Fx direction by 26.09%.

Connecting data streams with On-Demand Services in the Alpine Environmental Data Analysis Centre

<div> <p>The AlpEnDAC (Alpine Environmental Data Analysis Center) platform (www.alpendac.eu) aims to collect scientific data measured on different high-altitude research stations in the alpine region and beyond. It provides research data management, analysis and simulation services and supports the research activities of the VAO (Virtual Alpine Observatory) community.</p> <p>With funding from the Bavarian State Ministry of the Environment and Consumer Protection, a new development cycle of the platform was launched in 2019. Novel components for Computing on Demand (CoD), Service on Demand (SoD) and Operating on Demand (OoD) will be integrated into the system. These will help to implement a near-real-time (NRT) decision support for the scientist during measurement processes and a better control of the measurement process.</p> <p>In this work, the authors present a stream processing architecture to couple the new CoD, SoD and OoD components. Data from measurements (or also simulations) are normally ingested via a representational state transfer application programming interface (REST API) into the AlpEnDAC system. Before such data are stored in the data base, they will be run through a central stream processing engine, based on a message queue (e.g. Apache Kafka) and a series of specialized workers to process the data. A rule engine and analytics tools are connected to this engine and allow the automatic triggering of, e.g., measurements, HPC simulations, or evaluation and notification services in NRT. The services will be usable and configurable, as much as possible, via the AlpEnDAC web portal where also certain measurement device settings can be adjusted. With these developments, we want to make environmental scientists profit from NRT data collection and processing, as it is already an everyday tool, e.g., in the Internet-of-Things sector and in commercial applications.</p> </div>