Perancangan Media Pembelajaran Berbasis Android Pada Materi Trigonometri Untuk Peserta Didik Kelas X di SMA Negeri 1 Cipatujah

Media pembelajaran berbasis android ini dirancang melalui enam tahapan yaitu tahapan system/information engineering, software requirement analysis, design, coding implamantation, testing, dan maintance. Media pembelajaran berbasis android ini di gunakan untuk proses pembelajaran mengenai materi sudut pengukuran dan identitas trigonometri. Perancangan media pembelajaran berbasis android dibuat dengan menggunakan Microsoft PowerPoint yang sudah terpasang iSpring Suite versi 9.7.2 dan Website 2 Apk Builder yang berfungsi untuk mengubah file *.pptx menjadi file *.apk untuk bisa di unduh di smartphone. Pembuatan materi menggunakan Microsoft PowerPoint dan membuat soal dengan menggunakan iSpring Suite versi 9.7.2 yang dijadikan sebagai uji kompetensi untuk peserta didik setelah mempelajari materi kemudian di konversikan menggunakan Website 2 Apk Builder. Pengujian menggunakan metode black box, setiap aspek memiliki hasil yang dapat disimpulkan berhasil dan layak untuk diujicobakan ke peserta didik. Uji kelayakan berupa kuesioner dari ahli media memperoleh angka sebesar 39 dengan klasifikasi baik, hasil uji kelayakan dari ahli materi memperoleh angka sebasar 47 denga klasifikasi sangat baik, dan hasil dari respon peserta didik memperoleh angka sebesar 39,63 dengan klasifikasi baik. Hasil tersebut dapat disimpulkan layak untuk diujicobakan ke peserta didik jika angka yang diperoleh termasuk kedalam klasifikasi baik. Dengan demikian media pembelajaran berbasis android pada materi trigonometri ini layak untuk digunakan untuk proses pembelajaran.Kata Kunci : Perancangan, Android, Media Pembelajaran

Environmental Biodynamics

The book provides a new conceptual framework to explain the interaction of complex systems, specifically humans and their environment. It proposes that human physiology and the environment do not “connect” with each other in a direct, unidirectional manner, like a beaker pouring water into a cup. Rather, the authors propose the Biodynamic Interface Conjecture with the central axiom that complex systems cannot interact directly or exist in isolation due to temporally embedded functional interdependencies within and between systems. The authors propose that human physiology and the environment contribute to the formation of an interface, and by doing so they give rise to an intermediary that guides the interaction by letting some influences pass between the systems while restricting others. This proposition counters many structural approaches that assume that complex systems, such as the environment and humans, can transfer information directly between them while remaining discrete entities. Although developed for environmental health sciences, the conjecture has broader implications for the study of complex system interactions across various levels of organization, and the central role of time and temporal dynamics in system-to-system information exchange. This conjecture also argues against causal paradigms that (incorrectly) assume that systems are distinct entities interacting directly and ignore boundary conditions, and organizational levels, and complexity inherent in biological and environmental systems.

Intelligent Robotic Palletizer System

In the global wave of automation, logistics and manufacturing are indispensable and important industries. Among them, the related automatic warehousing system is even more urgently needed. There are quite a few cases of using robotic arms in the current industry cargo stacking operations. Traditional operations require engineers to plan the stacking path for the robotic arm. If the size of the object changes, it will take extra time to re-plan the work path. Therefore, in recent years, quite a lot of automatic palletizing software has been developed; however, none of it has a detection mechanism for stacking correctness and personnel safety. As a result, in this research, an intelligent robotic palletizer system is developed based on a self-developed symmetrical algorithm to stack the goods in a staggered arrangement to ensure the overall structure. Innovatively, it is proposed to check the arrangement status and warnings during the visual stack inspection to ensure the correctness of the stacking process. Besides, an AI algorithm is imported to ensure that personnel cannot enter the set dangerous area during the work of the robotic arm to improve safety during stacking. In addition to uploading the relevant data to the cloud database in real time, the stacking process combined database and vision system also provide users with real-time monitoring of system information.

Stability of state-delayed digital filters with overflow nonlinearities

In this work, stability of digital filters in the presence of overflow nonlinearities and time-varying delay is investigated with/without external disturbance. Two new lemmas related to characterization of overflow nonlinearities are developed. The first lemma is established with better utilization of system information which includes overflow nonlinearities, previous and current states of the digital filter. The second lemma associated with overflow nonlinearities is developed with lesser constraints. Furthermore, by utilizing the established lemmas and a new Lyapunov functional, an asymptotic stability condition is presented for the digital filter with time-varying delay and overflow nonlinearities. The developed condition is shown to be more relaxed and computationally less demanding than the existing criteria. In addition to that, a sufficient condition is derived under which the digital filter with external disturbance, overflow nonlinearities, and time-varying delay has a prescribed noise attenuation level. To show the efficacy of the proposed approach, numerical examples are presented.

Data-Driven Analysis for Safe Ship Operation in Ports Using Quantile Regression Based on Generalized Additive Models and Deep Neural Network

Marine accidents in ports can cause loss of human life and property and have negative material and environmental impacts. In South Korea, due to a pier collision accident of a large container ship in Busan New Port of South Korea, the need for safe ship operation guidelines in ports emerged. Therefore, to support quantitative safe ship operation guidelines, ship trajectory data based on automatic information system information have been used. However, because this trajectory information is variable and uncertain due to various situations arising during a ship’s navigation, there is a limit to deriving results through traditional regression analysis. Considering the characteristics of these data, we analyzed ship trajectories through quantile regression using two models based on generalized additive models and neural networks corresponding to deep learning. Among the automatic information system information, the speed over ground, course over ground, and ship’s position were analyzed, and the model was evaluated based on quantile loss. Based on this study, it is possible to suggest safe operation guidelines for the position, speed, and course of the ship. In addition, the results of this work can be further developed as a manual for the in-port-autonomous operation of ships in the future.

Medicines Regulation in West Africa: Current State and Opportu-nities

Ndomondo-Sigonda et al. (2017) observed that there is scarcity of information on human resources (person-nel devoted to regulation of medicines) in the domain of medicines regulation in the sub-Saharan Africa (SSA). The published information on medicines regulation by the National Medicines Regulatory Authorities (NMRAs) in the Economic Community of West African States (ECOWAS) region are no longer current and consistent with the current realities in the NMRAs. In order to reveal this occurrence, show the trends that exist over the years and make appropriate recommendations, data were collected and compared from 2005, 2010 and 2017 research reports on seven regulatory features of the fifteen Members States of ECOWAS. The re-sults show that there was missing information per regulatory feature and country. There was also an overall increasing trend in the number of NMRAs in the region that showed progress with respect to the measured regulatory features - Autonomy (Authority and Legal form), Marketing Authorization), GMP inspection, Quality Control, Quality Management System, Information Management System and Harmonization and International cooperation. People of Africa have a valuable story to tell as it relates to medicines regulation. This report is written by a West African from the perspective of a West African involved in the study and practice of medi-cines regulation by the NMRAs in the ECOWAS.

Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Type of peer review: Double-blind • Conference submission management system: Information System “Conference” • Number of submissions received: 84 • Number of submissions sent for review: 65 • Number of submissions accepted: 39 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 46,4% • Average number of reviews per paper: 2 • Total number of reviewers involved: 4 • Any additional info on review process: uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. • Contact person for queries: Name : Yurchenko Alexey Affiliation: Professor, National Research Tomsk State University, 36, Lenin Avenue Tomsk RUSSIA Email : [email protected] ([email protected])

Editorial

On the behalf of the organizing committee of the International Conference on Electronics, Electrical and Information Engineering (ICEEIE2021) held during September 24th-26th, 2021 in Changsha, Hunan, China, Due to the Covid-19, there were travel restriction for every scholars who were linked with this event, by using Zoom conference system and physical venues in different sponsors’ university, we enjoyed 3 keynote speeches and oral presentations made by the authors which lasted for 15 minutes each, a lot of inspiration sparked during the Q&A parts, thanks to the modern technology and dedication of every committee member, we finally made this conference, to sum up I would like to present you all this proceeding: A strong mixture of academia and industry was the key aspect of this year’s conference. ICEEIE 2021 promotes research and developmental activities in the field of Electronics, Electrical and Information Engineering along with exchange of knowledge, ideas and information among the researchers, practitioners and scholars from all over the world. Researchers who have contributed their work to the conference shared their findings and experience with other researchers and attendee. Many attendees without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. With all contributions from the participants, 74 papers are final accepted from 215 submissions. Those accepted ones are well categorized into six sectors as follows:Information Sciences, Electrical Engineering, Automation Control, Software Engineering, Machine Learning, IOT & Data Sciences, Intelligent System, Information Security. List of Committees are available in this pdf.

Quantifying Decoherence via Increases in Classicality

As a direct consequence of the interplay between the superposition principle of quantum mechanics and the dynamics of open systems, decoherence is a recurring theme in both foundational and experimental exploration of the quantum realm. Decoherence is intimately related to information leakage of open systems and is usually formulated in the setup of “system + environment” as information acquisition of the environment (observer) from the system. As such, it has been mainly characterized via correlations (e.g., quantum mutual information, discord, and entanglement). Decoherence combined with redundant proliferation of the system information to multiple fragments of environment yields the scenario of quantum Darwinism, which is now a widely recognized framework for addressing the quantum-to-classical transition: the emergence of the apparent classical reality from the enigmatic quantum substrate. Despite the half-century development of the notion of decoherence, there are still many aspects awaiting investigations. In this work, we introduce two quantifiers of classicality via the Jordan product and uncertainty, respectively, and then employ them to quantify decoherence from an information-theoretic perspective. As a comparison, we also study the influence of the system on the environment.