Rancang Bangun Sistem Monitoring Ruang Kelas Berbasis Internet of Things pada Universitas Pamulang

In a classroom, ideally there are facilities such as chairs, desks, blackboards, and electronic devices used such as air conditioners (AC), lamps and projectors. However, in its use, there are actions that are not responsible for maintaining the facility so that it causes losses. An internet of things-based classroom monitoring system is needed to solve existing problems. This system has the ability to remotely operate electronic facilities in classrooms such as air conditioning, electricity and lights, monitor access to classrooms, process data, print activity monitoring reports, to monitor the current conditions of a room. This system consists of three parts, namely the database part, the microcontroller section and the software section. The database section contains data on access cards or fingerprints, room usage schedules, room temperature and humidity. The methodology for designing and building a classroom monitoring system uses the waterfall methodology. In this methodology, several steps are taken to build a system, namely: system requirements analysis, hardware design and software engineering, system design, system implementation, system testing, and system maintenance. Based on the test results, this system can record input data on the microcontroller section and display it in the software section for real-time monitoring and controlling of classrooms and minimizing damage to existing facilities in the classroom. Monitoring of classroom use that is not according to the schedule of use can be carried out and controlled remotely in real-time.

A Survey of Important Factors in Human - Artificial Intelligence Trust for Engineering System Design

Incorporating user trust in the development of intelligent systems is one of the new challenges in engineering design field. Trust in human-intelligent system interaction determines how much user relies on the system and directly influences the benefits that an intelligent system provides to human decision-making. This paper reviews the existing literature on trust in human-AI interaction to highlight key areas for engineering system design research to address the overarching issue of user trust in system development. We present how trust influences the use of an intelligent system, describe multiple contexts that users interact with intelligent systems and categorize ways in which trust is formed based on the literature. We classify the key factors that are critical in the formation of user trust in three categories of human user attributes, design of the intelligent system, and task characteristics. We also present the analytical models that exist in the literature used to evaluate and predict trust. This paper is not intended to be a thorough literature review but rather a position paper that provides a structure to the existing literature as a reference for engineering design research. We propose future directions for engineering system design community based on the gaps and open questions identified in the literature.

A Comparative Study of Formulations and Algorithms for Reliability-Based Co-Design Problems

Co-design, or integrated physical and control system design, has been demonstrated successfully for several engineering system design optimization applications, primarily in a deterministic manner. An opportunity exists to study non-deterministic co-design strategies, including incorporation of uncertainty-induced failures, into an integrated co-design framework. Reliability-based design optimization (RBDO) is one such method that can be used to increase the likelihood of having a feasible design that satisfies all reliability constraints. While significant recent advancements have been made in co-design and RBDO separately, limited work has been done where reliability-based dynamic system design and control design optimization are considered jointly. In this paper, the co-design problem is integrated with the RBDO framework to yield a system-optimal design and the corresponding control trajectory, which satisfy all reliability constraints in the presence of parameter variations. Different problem formulations and RBDO algorithms are compared through numerical examples. The design of a horizontal-axis wind turbine (HAWT) supported by a lattice tower (with parameter uncertainties) is presented to demonstrate the applicability of the proposed method.

Ontology-Based Representation of Design Decision Hierarchies

The design of complex engineering systems requires that the problem is decomposed into subproblems of manageable size. From the perspective of decision-based design (DBD), typically this results in a set of hierarchical decisions. It is critically important for computational frameworks for engineering system design to be able to capture and document this hierarchical decision-making knowledge for reuse. Ontology is a formal knowledge modeling scheme that provides a means to structure engineering knowledge in a retrievable, computer-interpretable, and reusable manner. In our earlier work, we have created ontologies to represent individual design decisions (selection and compromise). Here, we extend the selection and compromise decision ontologies to an ontology for hierarchical decisions. This can be used to represent workflows with multiple decisions coupling together. The core of the proposed ontology includes the coupled decision support problem (DSP) construct, and two key classes, namely, Process that represents the basic hierarchy building blocks wherein the DSPs are embedded, and Interface to represent the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example. Advantages of this ontology are that it is decomposable and flexible enough to accommodate the dynamic evolution of a process along the design timeline.