Pengaruh Manajemen Aset Terhadap Tingkat Optimalitas Aset Tetap (Tanah) Pemerintah Provinsi Jambi

The purpose of this study was to analyze the effect of fixed asset management (land) belonging to the Jambi Provincial Government. A total of 46 sample respondents were taken in this study using purposive sampling method. Asset inventory, asset legal audit, asset valuation, and asset monitoring and control are the variables used in this study. From the results of the analysis using the Multiple Linear Regression test tool, it shows the results of an individual test that it is proven that asset inventory has a positive and significant effect on the optimality of fixed assets (land) which means that it matches the hypothesis, but individually legal audits of asset valuation, as well as asset monitoring and control not proven to have a positive and significant effect on the level of optimality of fixed assets (land) which means that it is not in accordance with the hypothesis, while the results simultaneously show that the four variables, namely asset inventory, asset legal audit, asset valuation, and asset monitoring and control, have a significant and positive effect. to the optimal level of fixed assets (land), the results are proven by the value of F-count > F-table.

Semantic Web and Knowledge Graphs for Industry 4.0

In recent years, due to technological advancements, the concept of Industry 4.0 (I4.0) is gaining popularity, while presenting several technical challenges being tackled by both the industrial and academic research communities. Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations. This paper surveys the use of the Semantic Web and Knowledge Graphs for I4.0 from different perspectives such as managing information related to equipment maintenance, resource optimization, and the provision of on-time and on-demand production and services. Moreover, to solve the challenges of limited depth and expressiveness in the current ontologies, we have proposed an enhanced reference generalized ontological model (RGOM) based on Reference Architecture Model for I4.0 (RAMI 4.0). RGOM can facilitate a range of I4.0 concepts including improved asset monitoring, production enhancement, reconfiguration of resources, process optimizations, product orders and deliveries, and the life cycle of products. Our proposed RGOM can be used to generate a knowledge graph capable of providing answers in response to any real-time query.

LTDA-MAC v2.0: Topology-Aware Unsynchronized Scheduling in Linear Multi-Hop UWA Networks

This paper investigates the use of underwater acoustic sensor networks (UASNs) for subsea asset monitoring. In particular, we focus on the use cases involving the deployment of networks with line topologies, e.g., for monitoring oil and gas pipelines. The Linear Transmit Delay Allocation MAC (LTDA-MAC) protocol facilitates efficient packet scheduling in linear UASNs without clock synchronization at the sensor nodes. It is based on the real-time optimization of a packet schedule for a given network deployment. In this paper, we present a novel greedy algorithm for real-time optimization of LTDA-MAC schedules. It produces collision-free schedules with significantly shorter frame duration, and is 2–3 orders of magnitude more computationally efficient than our previously proposed solution. Simulations of a subsea pipeline monitoring scenario show that, despite no clock synchronization, LTDA-MAC equipped with the proposed schedule optimization algorithm significantly outperforms Spatial TDMA.

Structural Health Monitoring (SHM) of Space Structures

Recent years have seen an increased interest in exploring outer space for space tourism or for unmanned or manned planetary explorations. The captivated interests among various stakeholders to employ advanced technologies to meet the requirements of these missions have necessitated the use of newly developed asset monitoring systems to ensure robustness and mission reliability. Although, Non-Destructive Testing (NDT) methods provide sufficient information about the state of the structure at the time of inspection, the need for continuously monitoring the health of the structure throughout the mission has asserted the use of Structure Health Monitoring (SHM) technologies to increase the levels of safety and thereby, reducing the overall mission costs. However, since the implementation of SHM technologies for space missions can be affected by several factors including, environmental conditions, measurement reliability and unavailability of adequate standards, additional considerations on its employability must be reconsidered. This article demonstrates a structured approach to compare the capabilities of some of the most promising SHM technologies in consideration of these influential factors. Additionally, remarks on the feasibility of employing these SHM technologies and the role they could play in such critical missions would be elaborated.

Leveraging Digital Twin for Sustainability Assessment of an Educational Building

The EU Green Deal, beginning in 2019, promoted a roadmap for operating the transition to a sustainable EU economy by turning climate issues and environmental challenges into opportunities in all policy areas and making the transition fair and inclusive for all. Focusing on the built environment, the voluntary adoption of rating systems for sustainability assessment is growing, with an increasing market value, and is perceived as a social responsibility both by public administration and by private companies. This paper proposes a framework for shifting from a static sustainability assessment to a digital twin (DT)-based and Internet of Things (IoT)-enabled dynamic approach. This new approach allows for a real-time evaluation and control of a wide range of sustainability criteria with a user-centered point of view. A pilot building, namely, the eLUX lab cognitive building in the University of Brescia, was used to test the framework with some sample applications. The educational building accommodates the daily activities of the engineering students by constantly interacting with the sensorized asset monitoring indoor comfort and air quality conditions as well as the energy behavior of the building in order to optimize the trade-off with renewable energy production. The framework is the cornerstone of a methodology exploiting the digital twin approach to support the decision processes related to sustainability through the whole building’s life cycle.

Development of Android Based Laboratory Asset Monitoring and Inventory Application

Each laboratory has a person in charge (technician) that has a duty of serving the laboratory in term of operational and maintenance. The main task of a technician is to record and monitor the condition and completeness of laboratory equipment in the laboratory. The data collection process is done by writing a tool request form, therefore mistakes often occur. In this research, an Android-based laboratory asset monitoring and inventory application was made. By using the application, it is expected that technicians become easier to make any duties of reports including report of damaged laboratory equipments, request for reparation, the unavailable practical materials etc simply by using a Smartphone. Testing the application with the Black-Box testing method to investigate the function of each application component whether it is running well or not. The results obtained from the Black-Box test are the functions of each component were running as expected. The case study is conducted for Electrical Engineering Department at State Polytechnic of Ujung Pandang (SPUP)