bluuebunny/crossref_metadata_2025 huggingface dataset:
Overcoming Deterrents to Modular Construction in Affordable Housing: A Systematic Review
Authors: Khan Ayaz Ahmad , Amirkhani Mehdi , Martek Igor
Published: September 2024

The study aims to identify and categorise the deterrents to adopting modular construction (MC) in affordable housing (AH), revealing their interconnections, and proposing strategies to overcome them. A systematic literature review (SLR) was conducted, followed by Pareto analysis and total interpretive structural modelling (TISM). A total of 75 deterrents were identified from 46 studies, spanning 7 categories: environmental, social and cultural, technical and construction, industry and market, administrative and bureaucratic, economic, and regulatory and policy. The top deterrent category was found to be economic, specifically high initial investment costs and financing challenges. Significant deterrents, particularly economic ones, that impede the adoption of MC in AH are revealed. The interconnectedness of these deterrents highlights the need for comprehensive strategies addressing multiple categories simultaneously. Mitigation strategies and countermeasures are proposed to facilitate the adoption of MC. The study is based on the existing literature, which may have limitations in terms of capturing all possible deterrents. Further empirical research is needed to validate and expand upon these findings. A critical gap is filled by this study, which systematically categorises and analyses deterrents to MC in AH and proposes actionable strategies to mitigate them, thereby contributing to more effective and widespread adoption of MC. The findings are valuable to both global audiences and Australian stakeholders and provide insights that allow the barriers to MC in AH to be overcome.
Microscopic Mechanisms and Evolution Models of Crack Development in an Expansive Soil under Conditions of Rainfall Evaporation Cycles
Authors: Han Liwei , Ji Wenhui , Ma Liyuan , Guo Ruibin , Zhang Yifan , Zhang Hongyang
Published: September 2024

Expansive soil is a special soil type that undergoes volume expansion during hygroscopicity and volume contraction during dehumidification. In this study, the effects of rainfall–evaporation cycles on the microscopic pores and cracks of expansive soils under different rainfall intensities were analyzed by simulating light rainfall, medium rainfall, and high-temperature drought environments using nuclear magnetic resonance (NMR) technology and image processing methods. The results showed that the micropores and small medium pores of the expanded soil gradually evolved into macropores during the cycling process, especially under stronger rainfall conditions. In addition, as the number of cycles increased, the expanded soil showed irrecoverable pore changes, which ultimately led to the scattering damage of the soil. By processing the surface crack images of expansive soils, the process of crack development was categorized into four stages, and it was found that the evaporation cycle of medium rainfall intensity caused the main cracks of expansive soils to develop more rapidly. A quantitative relationship model between the average crack width and the number of cycles as well as porosity was constructed, and the regression coefficient of determination R2 reached 0.98, 0.96, and 0.84, respectively. This study simulates the effects of real rainfall conditions on expansive soils and investigates the mechanism and evolution of cracks in expansive soils, which is of great theoretical and practical significance.
The Impact of Digital Inclusive Finance on the Sustainable Growth of Income of Herdsmen in China’s Pastoral Areas
Authors: Wang Jun , Zhang Xinyi , Deng Yingying , Cao Jianmin , Liang Yuan
Published: September 2024

The sustainable growth of income for farming households in pastoral areas represents a crucial challenge not only for China but also for other developing nations in the process of transition to ecologically friendly models. The scarcity of assets available for collateral, along with vulnerable production conditions and developmental shortcomings, pose significant barriers to the consistent expansion of herdsmen’s income. This paper analyzes the impact of digital financial inclusion on the income of herdsmen in ethnic minority regions using panel data models from nine major pastoral provinces in China from 2011 to 2022. Through a fixed-effects model approach, the analysis delves into the influence of digital financial inclusion and subjects it to multi-dimensional and robustness tests to ensure the reliability of the findings. Furthermore, the research explores the underlying mechanisms through which digital financial inclusion contributes to income enhancement for herdsmen in these areas, employing mediation effect techniques to provide deeper insights into the relationship between digital financial services and economic upliftment in remote ethnic communities. The research findings indicate that digital financial inclusion has a positive impact on the income of herdsmen in ethnic minority regions. The breadth of coverage, depth of usage, and level of digitalization of digital financial inclusion all play a significant role in enhancing the income levels of herdsmen. In terms of the degree of influence, the impact of digital finance on the income of ethnic minorities follows this order: depth of usage > degree of digitalization > breadth of coverage. Notably, through financial backing that catalyzes a shift in herdsmen’s production methodologies and propels industrial upgrading, there is a profound potential to increase herdsmen’s output efficiency. This, in turn, alleviates the ecological strain on China’s environmentally delicate zones. Moreover, financial backing can condense the breeding periods for herdsmen, thereby ameliorating the ecological degradation associated with excessive grazing in pastoral regions. A mediating-effect analysis reveals that digital financial inclusion can boost economic development in ethnic minority regions by increasing wage income, raising per capita GDP levels, and promoting industrial structure upgrading. This, in turn, leads to an improvement in the income of herdsmen in these regions. This is particularly pertinent in China, where the eco-fragility of pastoral regions coincides with the modest income of herdsmen, underscoring the critical importance of herdsmen’s finance. To foster sustainable progress in these regions, financial backing is imperative to elevate herdsmen’s income and to induce a transformative shift in production approaches and industrial layout, paving the way for the sustainable development of these pastoral regions.
The Impact of Digital Transformation on ESG Performance: The Role of Supply Chain Resilience
Authors: Zhang Meixuan , Huang Zongsheng
Published: September 2024

With the development of digital technologies, the impact of digital transformation on corporate performance in environmental, social responsibility, and governance areas warrants further research. This study aims to delve into how digital transformation may impact a company’s ESG performance from the perspective of supply chain resilience. We collect non-financial listed companies in China’s A-shares from 2009 to 2022 as research samples. The results show that digital transformation can significantly improve the ESG performance. Digital transformation can enhance supply chain resilience, namely by reducing supplier and customer concentration to improve a company’s ESG performance. We also reveal that non-heavy polluting companies, high-tech companies, and companies in the eastern regions are more sensitive to digital transformation in terms of ESG performance. This paper contributes to examining the relationship between digital transformation and corporate ESG performance, providing both a theoretical foundation and practical recommendations for guiding companies in achieving digital transformation and improving their ESG performance.
Assessing the Impact of a College Service-Learning Course Focused on the United Nations Sustainable Development Goals
Authors: Krift Anna , Regueiro Antonella , Cooper Patrick J. , Lecher Alanna L.
Published: September 2024

Liberal arts education in the United States seeks not only to prepare students for a specific career but also to develop well-rounded citizens. As part of the core liberal arts curriculum at Lynn University, all students must complete a service-learning course known as the Citizenship Project. A core component of the course is a student-designed service-learning project executed each year. In 2019, the Citizenship Project was revised to align with the United Nations Sustainable Development Goals (SDGs), ensuring that each project would seek to contribute to one of these goals. The purpose of this study is to examine which SDGs the service-learning projects addressed and summarize how the projects contributed to the SDGs.
Crafting Taxonomies for Understanding Power Consumption in Industrial Kitchens: A Methodological Framework and Real-World Application
Authors: Ribeiro Miriam , Morais Hugo , Pereira Lucas
Published: September 2024

Although industrial kitchens consume significantly more energy than other commercial buildings and represent an important opportunity for sustainable energy systems, researchers have largely overlooked energy efficiency in these spaces. One of the main challenges is the diversity of kitchen configurations, complicating the characterization and generalization of research findings, including establishing a standardized methodology for assessing and benchmarking energy demand. To address this research gap, this paper proposes a methodological framework to develop taxonomies for understanding the electricity consumption in industrial kitchens. The proposed framework was developed following an extensive survey of the existing literature, and it is based on four main steps: identification of the knowledge domain, extraction of terms and concepts, data collection, and information analysis. To demonstrate the proposed framework, a case study was developed involving the participation of 50 restaurants located in Portugal. The proposed framework proved valid as it enabled the construction of a taxonomy that allows the classification of industrial kitchens according to different energy consumption-related concepts, such as costs with energy, the physical size of the kitchen, and the number of workers.
Spectral Properties of Dual Unit Gain Graphs
Authors: Cui Chunfeng , Lu Yong , Qi Liqun , Wang Ligong
Published: September 2024

In this paper, we study dual quaternion, dual complex unit gain graphs, and their spectral properties in a unified frame of dual unit gain graphs. Unit dual quaternions represent rigid movements in the 3D space, and have wide applications in robotics and computer graphics. Dual complex numbers have found application in brain science recently. We establish the interlacing theorem for dual unit gain graphs, and show that the spectral radius of a dual unit gain graph is always not greater than the spectral radius of the underlying graph, and these two radii are equal if, and only if, the dual gain graph is balanced. By using dual cosine functions, we establish the closed form of the eigenvalues of adjacency and Laplacian matrices of dual complex and quaternion unit gain cycles. We then show the coefficient theorem holds for dual unit gain graphs. Similar results hold for the spectral radius of the Laplacian matrix of the dual unit gain graph too.
Imperative Genetic Programming
Authors: Fajfar Iztok , Rojec Žiga , Bűrmen Árpád , Kunaver Matevž , Tuma Tadej , Tomažič Sašo , Puhan Janez
Published: September 2024

Genetic programming (GP) has a long-standing tradition in the evolution of computer programs, predominantly utilizing tree and linear paradigms, each with distinct advantages and limitations. Despite the rapid growth of the GP field, there have been disproportionately few attempts to evolve ’real’ Turing-like imperative programs (as contrasted with functional programming) from the ground up. Existing research focuses mainly on specific special cases where the structure of the solution is partly known. This paper explores the potential of integrating tree and linear GP paradigms to develop an encoding scheme that universally supports genetic operators without constraints and consistently generates syntactically correct Python programs from scratch. By blending the symmetrical structure of tree-based representations with the inherent asymmetry of linear sequences, we created a versatile environment for program evolution. Our approach was rigorously tested on 35 problems characterized by varying Halstead complexity metrics, to delineate the approach’s boundaries. While expected brute-force program solutions were observed, our method yielded more sophisticated strategies, such as optimizing a program by restricting the division trials to the values up to the square root of the number when counting its proper divisors. Despite the recent groundbreaking advancements in large language models, we assert that the GP field warrants continued research. GP embodies a fundamentally different computational paradigm, crucial for advancing our understanding of natural evolutionary processes.
Quantifying the Complexity of Nodes in Higher-Order Networks Using the Infomap Algorithm
Authors: Fu Yude , Lu Xiongyi , Yu Caixia , Li Jichao , Li Xiang , Huangpeng Qizi
Published: September 2024

Accurately quantifying the complexity of nodes in a network is crucial for revealing their roles and network complexity, as well as predicting network emergent phenomena. In this paper, we propose three novel complexity metrics for nodes to reflect the extent to which they participate in organized, structured interactions in higher-order networks. Our higher-order network is built using the BuildHON+ model, where communities are detected using the Infomap algorithm. Since a physical node may contain one or more higher-order nodes in higher-order networks, it may simultaneously exist in one or more communities. The complexity of a physical node is defined by the number and size of the communities to which it belongs, as well as the number of higher-order nodes it contains within the same community. Empirical flow datasets are used to evaluate the effectiveness of the proposed metrics, and the results demonstrate their efficacy in characterizing node complexity in higher-order networks.
On the Classical Limit of Freely Falling Quantum Particles, Quantum Corrections and the Emergence of the Equivalence Principle
Authors: Cañas Juan A. , Bernal J. , Martín-Ruiz A.
Published: September 2024

Quantum and classical mechanics are fundamentally different theories, but the correspondence principle states that quantum particles behave classically in the appropriate limit. For high-energy periodic quantum systems, the emergence of the classical description should be understood in a distributional sense, i.e., the quantum probability density approaches the classical distribution when the former is coarse-grained. Following a simple reformulation of this limit in the Fourier space, in this paper, we investigate the macroscopic behavior of freely falling quantum particles. To illustrate how the method works and to fix some ideas, we first successfully apply it to the case of a particle in a box. Next, we show that, for a particle bouncing under the gravity field, in the limit of a high quantum number, the leading term of the quantum distribution corresponds to the exact classical distribution plus sub-leading corrections, which we interpret as quantum corrections at the macroscopic level.
Simultaneous Causality and the Spatial Dynamics of Violent Crimes as a Factor in and Response to Police Patrolling
Authors: Lima Rayane Araújo , Taques Fernando Henrique , Nepomuceno Thyago Celso Cavalcante , Figueiredo Ciro José Jardim de , Poleto Thiago , de Carvalho Victor Diogho Heuer
Published: September 2024

Simultaneous causality occurs when two variables mutually influence each other, creating empirical contexts where cause and effect are not clearly unidirectional. Crime and policing often appear in urban studies presenting the following characteristic: sometimes, increased police patrols can reduce criminal activities, and other times, higher crime rates can prompt law enforcement administrations to increase patrols in affected areas. This study aims to explore the relationships between patrol dynamics and crime locations using spatial regression to support public policies. We identify spatial patterns and the potential impact of crime on policing and vice versa. Data on crimes and patrol locations were collected from the database provided by the Planning and Management Secretariat and the Social Defense Secretariat of Pernambuco, Brazil. The study employed Ordinary Least Squares (OLS) to create a spatial simultaneous regression model for integrated security zones within the Brazilian geography. This approach provides a holistic visualization, enhancing our understanding and predictive capabilities regarding the intricate relationship between police presence and crime. The results report a significant relationship, with crime locations explaining police patrols (varying in geographic domain and type of crime). No statistically significant results from most geographic locations point to the inverse relation. The quantitative analysis segregated by typology presents a potential for effective public decision support by identifying the categories that most influence the patrol security time.
A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electricity Price
Authors: Pang Xinfu , Jia Wen , Li Haibo , Gao Qingzhong , Liu Wei
Published: September 2024

With the increasing share of renewable energy generation and the integration of large-scale electric vehicles (EVs) into the grid, the reasonable charging and discharging scheduling of electric vehicles is essential for the stable operation of power grid. Therefore, this paper proposes a bi-objective optimal scheduling strategy for microgrids based on the participation of electric vehicles in vehicle-to-grid technology (V2G) mode. Firstly, the system structure for electric vehicles participating in the charging and discharging schedule was established. Secondly, a bi-objective optimization model was formulated, considering load mean square error and user charging cost. A heuristic method was employed to handle constraints related to system energy balance and equipment output. Then, the Monte Carlo method was employed to simulate electric vehicle loads and to facilitate the generation of and reduction in scenario scenes. Finally, the model was solved using an improved multi-objective barebones particle swarm optimization algorithm. The simulation results show that the proposed scheduling strategy has a lower charging cost (CNY 11,032.4) and lower load mean square error (12.84 × 105 kW2) than the strategy employed in the comparison experiment, which ensures the economic and stable operation of the microgrid.
The role and place of big data in official agricultural statistics
Authors:   Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia, Nevzorov A. S. , Beketova O. N. ,   Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia, Ivanov A. M. ,   Russian State University for the Humanities, Moscow, Russia
Published: September 2024

The agro-industrial sector, like other industries, is increasingly data-driven and data-analytical. From crop selection to assessing consumer food preferences, data is collected at every stage of the agricultural chain. The huge amounts of data collected and processed have already fundamentally changed the structure and efficiency of various agricultural production and supply systems. Modern digital technologies are being actively introduced into agriculture, from laboratory conditions to open and protected fields. The use of machine learning tools, robotics and big data technologies significantly transforms and optimizes not only production processes, but also methodological approaches for scientific research. The results of the study suggest that the use of big data sources in addition to statistical observations helps to reduce the burden on respondents, which is an important task for national statistical services.
Case study: Design and properties of acoustic energy harvester
Authors: Lv Haifeng , Ma Zhiyu , Cheng Zhiyuan , Zhang Jinghui , Chen Guitao
Published: September 2024

Converting acoustic energy into electric energy can not only suppress environmental noise but also provide energy supply, which is a potential way to solve the bottleneck problem of energy supply in wireless sensor networks (WSNs). An acoustic energy harvester structure and circuit
system combining Helmholtz resonance effect with piezoelectric effect are proposed in this article. The band gap characteristics of the designed acoustic energy harvester are analyzed by plane wave expansion (PWE) theory and experiment. The substrate of Helmholtz resonator is made from piezoelectric
sheet, and the acoustic energy harvester structure is arranged periodically. When the incident noise frequency keeps coincidence with the resonant frequency, the conversion efficiency goes high up to 21.3%. The influence of series and parallel connection of piezoelectric elements on the acoustic
to electric energy is observed. The AC-DC conversion circuit is designed with rectifier bridge, and the energy storage circuit is designed with supercapacitor. The power obtained from the acoustic to electric energy conversion system is 1523 mW. Application tests indicate that the noise suppresses,
energy conversion, and energy storage can be realized at the same time by the proposed acoustic energy harvester system.
Classification Of Irish Beaches To Determine Their Potential For Erosion
Authors:   ,   Cork Institute of Technology, O'Connell Aidan
Published: September 2024

"The objective of this literature review is to gather the relevant information regarding beach characteristics and beach erosion in order to undertake the project development stage of the thesis project. The background information that was reviewed was the different zones that are located on a beach; the functions of a beach and what most beaches are commonly used for; how beaches were formed; the legislation that is related to the beach or any work that is required to be carried out on a beach and some background information on the erosion of beaches. The most relevant beach characteristics that impact on beach erosion that were found were the soil gradation and particle size of the beach material; the beach slope/profile; if a sand bar and vegetation exists on a beach; the waves that impact on the beach; the level of the high tide at the beach and the wind at the beach. The most appropriate method of measuring the particle size of the soil was found to be by sieving. The industry standard method of measuring the beach slope/profile was found to be by using GPS. The existence of a sand bar and vegetation can be found by visual inspection, the waves are measured by offshore buoys and the near shore data can be found using appropriate software. The level of the tide can be found in published tide tables. The processes that transport beach material and have a large impact on beach erosion were found to be bed load transport; suspended load transport; sheet flow transport and aeolian transport. These transport processed then transport the soil in primarily two directions - cross shore (perpendicular with the shore line) and longshore (parallel with the shore line). The beach characteristics have a large impact on the level of beach erosion that occurs. They cause beach erosion but can also protect against it if in the appropriate state. The beach protection measured that were discovered during the literature review were planting of natural vegetation; sand recharge; groynes; a breakwater; an artificial reef; a seawall/revetment and the modification of existing protection measures. The information that is contained in this report will be used to carry out work during the project realisation stage in order to achieve the overall objective of the thesis."
Metode Weight Product Untuk Pemilihan Pestisida Yang Sesuai Dengan Jenis Hamanya
Authors: Lubis FFitri Amelia Sari , Nurcahyo Gunadi Widi , Sovia Rini
Published: September 2024

Technological developments are now growing rapidly in various fields, including the implementation of technology in everyday life, including the world of business and organizations. Digital technology includes information, computing, communications and connectivity, becoming a key factor for achieving sustainable competitive advantage in various industries. The use of technology also provides benefits such as sales monitoring, business recommendations and better decision making. Decision Support System (DSS) is a system that is deliberately created to assist certain parties in making decisions with quality and objective results, in an effective and efficient way of working, and does not depend solely on subjective decisions or based on wrong parameters. . The Weight Product (WP) method is one of the solution methods in Decision Support Systems. Choosing the best product is an important decision in various aspects of life, from purchasing consumer goods to choosing technology in business. UD. Anugrah Jaya Tani is one of the kiosks in Sayur Mahincat village, Kec. Barumun Selatan, Padang Lawas Regency, which operates in the agricultural sector and sells various types of pesticides, herbicides and fertilizers. Pesticides are chemical substances and other materials used to control various pests. For farmers, the types of pests are mites, pest plants, plant diseases caused by fungi (fungi), bacteria and viruses, nematodes (worms that damage roots), snails, mice, birds and other animals that are considered detrimental. This research aims to determine pesticides that are suitable for the type of pest on plants. The method used is a Decision Support System (DDS), namely Weight Product (WP).  The data used is 10 data with 6 predetermined criteria. The results of this research are based on the final value obtained from each alternative, the pesticide with the highest value is considered the best alternative and the result is that Alternative A5 is the best pesticide with the highest value of 0.1396, namely Sidabas. This means that the pesticide is considered to best meet the specified criteria with the weight given.
Increased stability of polymer dispersions obtained by heterophase radical polymerization of styrene and MMA in the presence of water-insoluble organosilicon macromeres
Authors: Gostenin V. B. , Shikhovtseva I. S. , Andreeva A. V. , Zubov V. P. , Gritskova I. A.
Published: September 2024

It is shown that during the copolymerization of methyl methacrylate with the surfactant comonomer α,ω-dipropylmethacrylatep olidimethylsiloxane with the number of repeating dimethylsiloxane units n = 20 (DPMPDMS), strong interfacial adsorption layers are formed on the surface of polymer–monomer particles formed from microdrops, ensuring the stability of particles to various types of influences.
Characteristics of shungite particles of different fractional composition and design of compositions of particulate-filled polymer composite materials with different types of structures
Authors: Pykhtin A. A. , Simonov-Emelyanov I. D. , Kovaleva A. N. , Tsvetkova K. S.
Published: September 2024

The paper presents the results of studies of technological properties (bulk and true density, particle size of the general fraction, particle size distribution, packing coefficient and maximum packing degree of filler particles, etc.) of shungite particles of different batches produced by LLC Nadvoitsky TDM Plant LLC (Karelia, RF).

For the first time for shungite particles of different sizes the values of packing density (kуп) and maximum content of dispersed phase (φm) in DFPCM were determined, which allows to calculate generalized and reduced structure parameters, to carry out classification by structural principle and to design compositions of high-tech polymer composites with given properties.

Practically all possible compositions of DFPCM with shungite particles of different sizes and different types of disperse structure are presented.
Evaluasi Beban Kerja Mental Pekerja yang Terpapar Kebisingan pada Perusahaan Mebel
Authors: Kontesya Kamelia , Sari Andesi Purnama , Ridhana Ihsan , Adelino Muhammad Ilham
Published: September 2024

Perusahaan mebel berfokus pada memproduksi kusen, pintu panel, jendela, dan variasi perabot. Saat aktivitasnya, Sebagian besar pekerjaan menggunakan alat atau mesin yang menghasilkan suara bising dan usaha yang besar. Adapun tujuan penelitian ini adalah untuk mengevaluasi kategori beban kerja mental pada pekerja dan melakukan perbaikan yang dapat dilakukan. Metode yang digunakan adalah National Aeronautics and Space Administration-Task Load Index (NASA-TLX) dan Rating Scale Mental Effort (RSME). Seluruh pekerja dilibatkan dalam penelitian ini. Hasil yang didapatkan adalah seluruh pekerja berada pada kategori tinggi dan sangat tinggi dengan rentang skor beban kerja sebesar 62,67-81,33. Indikator tertinggi yang mempengaruhinya adalah performansi (25,45%). Hasil tersebut dikonfirmasi dengan hasil RSME, dimana rata-rata skor berada pada rentang 70-90 dari 150. Berdasarkan hasil tersebut, perbaikan yang dapat dilakukan dengan menambah jumlah pekerja untuk dapat dilakukan rotasi pekerjaan.
AN ANALYSIS OF STUDENTSâ€™ FACTORS AND PROBLEMS EFFECTING IN SPEAKING SKILLS
Authors: Renaldi Ikrar Genidal
Published: September 2024

This study tries to analyze and find out students' factors and problems that affect studentsâ€™ ability in speaking skills. The aims of this study are to answer two research questions: (1) what factors and problems affect the students' speaking skills and (2) what factors and problems are most dominant experienced by students which affect their speaking skills. This research uses descriptive qualitative analysis techniques to obtain data. The object of this study was 5th-semester students in the English department, Tidar university. In obtaining data, this study uses a questionnaire used by Marriam (2015) regarding related research. The intention of this study is to find out the students' factors and problems in speaking skills.
DEVELOPING OF LEARNING MEDIA BASED ON STUDENT NEEDS FOR TENTH GRADE STUDENTS OF SMK NEGERI 2 TARAKAN
Authors: Aruji Azlan B , Vega Nofvia De , Haris Abdul
Published: September 2024

This research was aimed to develop learning media for class X at SMK Negeri 2 Tarakan and produce effective learning media products from the design and material aspects and attract students' interest by learning English. This research is a research and development of the ADDIE model which consists of five stages (1) Analysis, (2) Design, (3) Development, (4) Implementation, and (5) Evaluation. The instrument uses a material expert validation questionnaire, as well as a media validation (design) questionnaire and a student response questionnaire. The results of the research from the validation of interactive learning media through validation by material experts and media experts reached a percentage of 82% with very good qualifications and 78% with good qualifications. The results of the student response questionnaire to interactive learning media were divided into three, the one to one formative evaluation trial with a percentage of 71.2% with good qualifications, the small evaluation group test trial with a percentage of 78.2% with good qualifications, and the field test formative evaluation trial, with a percentage of 78.5% with good qualifications. Product trials were carried out in class X SMK Negeri 2 Tarakan. The results of research and development of learning media are suitable for use in learning English.
AN ANALYSIS OF HIGHER ORDER THINKING SKILL IN READING SKILL AT ENGLISH DEPARTMENT 2018
Authors: Rahayu Imelda Wati Putri , Fitriawati Fitriawati
Published: September 2024

The objective of this research was obtain empirical evidence from the distribution of Higher order thinking skills based on the revised edition of Bloomâ€™s Taxonomy on multiple choices questions in reading test items in reading skill at English department 2018.This research was conducting by using content analysis method, because the researcher identifies the specific characters of the material in reading multiple choices questions in reading test items. This research uses qualitative data because the data is in the form of words. The object of this research was the reading multiple choices in reading test items at English department 2018. The data was collected through several instruments, namely the exercises sheet of reading test items, interview, checklist table and Bloomâ€™s taxonomy guidelines. The result of this research showed that, the higher order thinking skills in reading skill at English department obtained 11 out of 25 questions in reading multiple choices (44%) while the lower order thinking questions obtained 14 of 25 reading multiple choices questions (56%). The result of the distribution of higher order thinking skills were : analyze skills get the highest distribution, 6 of 25 multiple choices questions in reading test items (24%), evaluating skills get 4 out of 25 questions in reading test items (16%), create skills get 1 out of 25 questions in reading test items (4%). Overall, it concluded that the distribution of the higher order thinking skills is lower than lower order thinking skills.
THE EXISTENCE OF FILLERS IN CONVERTING THE WRITTEN LANGUAGE TO SPOKEN LANGUAGE
Authors: Sarira Pret , Mahmud Murni , Affandi Akhmad , Burhamzah Muftihaturrahmah
Published: September 2024

This article investigated and examined filler words' types, functions, and factors in students' speech while converting the written language to spoken language at the English department of Universitas Negeri Makassar in the pedagogy of speaking class.Â  Subjects are non-native English speakers but EFL students. This article uses qualitative research techniques. The data were collected from classroom observations, interviews, and transcription. The transcriptions were interpreted and grouped using the theory of Rose (1998). The occurrences of fillers were analyzed by the idea of Clark and Tree (2002), and the causes and function of fillers were analyzed by the theory of Kharismawan (2017) and Duvall et al. (2014). The findings showed that: (1) The students produced lexical and non lexical fillers while converting the written language to spoken language.Â  (2) Fillers appear at the beginning, middle, and near or the end of the utterance.Â  (3) The findings showed that the students produced fillers as hesitation devices, empathizing devices, mitigating devices, editing terms devices, and time-creating devices. Besides, a word cannot be categorized as a filler if it stands or works as a conjunction in an utterance.Â  (4) Lastly, this research found that the filler causes were divided attention, infrequent words, and nervousness.
Determining the mechanical properties of biomaterial-based economic
thermoplastic composites reinforced with hemp fibres
Authors: ÖZSOY NILDA , SANCAK ERHAN
Published: September 2024

In this study, continuous reinforcement materials of hemp fibres and matrix polymers (staple polylactic acid (PLA), staple
bicomponent PLA) were carded in a conventional carding machine. Various proportions of the hemp fibre reinforcement
material, ranging from 20%, 30%, 40%, 50%, and 60% were used in the production of biocomposite structures. We have
further studied the effect of several carding passages (up to 3 passages) on the strength performance of both the staple
PLA and the staple bicomponent PLA matrix. To obtain composite samples, the carded webs were further consolidated
in the hot press machine. Further mechanical performance analysis was carried out in both the cross direction as well
as parallel to the machine direction. It was observed that the introduction of reinforcing hemp fibre shows an increase
in tensile strength up to the critical fibre loading amount and a decrease in tensile strength after the critical fibre loading
amount. The highest tensile strength of 35.84 MPa was obtained for (40HEMP / 60PLA / M / P3), applied to the
composite structures in the machine production direction, while the lowest value was 14.70 MPa (60HEMP / 40BPLA /
M / P1), respectively.
DETECTION OF PESTICIDE RESIDUES IN WHITE TEA FRESH LEAVES BASED ON HYPERSPECTRAL AND ARTIFICIAL INTELLIGENCE MODELS
Authors: PI Weiqiang , CHENG Jingrui , SUN Qinliang , LIU Guanyu , WANG Yong , WANG Rongyang
Published: September 2024

The detection of pesticide residues in white tea fresh leaves is an important step to ensure the quality safety of white tea finished products. Traditional detection methods are costly and inefficient to realize the demand for fast, low-cost, and accurate detection of pesticide residues in white tea fresh leaves. In this study, five types of white tea fresh leaf pesticide residue sample data were obtained using hyperspectral imaging technology for the high-frequency detected pesticides Glyphosate and Bifenthrin, and the SVM and 1D-CNN models were established to detect the samples after noise reduction processing and feature band screening methods. The study shows that the 1D-CNN model has better feature extraction ability, in which the SG-CARS-1D-CNN model has the highest detection accuracy, which is 94.62%, 95.12%, 94.35%, 94.95%, and 95.27% for the five type of species samples, respectively. This study provides pesticide residue detection for white tea fresh leaves based on the combination of hyperspectral data and an artificial intelligence model, which provides an intelligent, nondestructive, efficient, and high-precision pesticide residue detection model for white tea fresh leaves.
Криптографічна стійкість методів шифрування на основі перетворень з використанням лишкових класів
Authors: Mаtоv О. Ya. , Vаsylenko V. S. , Vаsylenko M. Yu.
Published: September 2024

Для задач забезпечення конфіденційності інформаційних об’єктів автоматизованих систем розглянуто підходи щодо оцінки криптографічної стійкості запропонованих криптографічних перетворень при використанні литкових класів.
Pola Perburuan Satwa Liar di Desa Mekaruo Kecamatan Dumoga Barat
Authors: Manansang Verginia Yolanda , Tasirin Johny S. , Pollo Hard N.
Published: September 2024

Penelitian ini bertujuan untuk mengukur persepsi masyarakat Desa Mekaruo terhadap perburuan satwa liar serta melakukan evaluasi terhadap pengetahuan masyarakat tentang hutan, satwa liar, perburuan satwa liar dan melakukan kajian tentang pola perburuan satwa liar yang dilakukan oleh masyarakat Desa Mekaruo. Metode yang digunakan dalam penelitian ini adalah wawancara dengan menggunakan daftar pertanyaan sebagai panduan wawancara, di mana pertanyaan dapat dikembangkan saat wawancara sedang berlangsung. Untuk survey persepsi penentuan jumlah responden menggunakan aplikasi Sample Size Calculator. Untuk penentuan responden dilakukan secara acak sistematik (Systematic random). Untuk survey pola perburuan menggunakan snowball sampling berdasarkan informasi survei persepsi dengan teknik wawancara mendalam. Selanjutnya data hasil survey dimasukkan ke dalam tabel menggunakan software Excel kemudian di analisis menggunakan software R. Pertanyaan persepsi menghasilkan format data berupa data kuantitatif (skoring) dengan menggunakan skala Likert sedangkan data pola perburuan menggunakan format data kualitatif. Hasil survey persepsi menunjukan masyarakat masih menganggap daging satwa liar adalah daging konsumsi. Umumnya masyarakat di Desa Mekaruo menjadikan perburuan satwa liar sebagai mata pencaharian karena kurangnya lapangan pekerjaan, sebagian masyarakat yang memiliki lahan pertanian melakukan perburuan karena untuk memberantas hama.
Perubahan Tutupan Lahan Hutan Menjadi Lahan Agroforestri di Desa Tolombukan Satu, Kecamatan Pasan, Kabupaten Minahasa Tenggara
Authors: Ginsu Tegar Librano Euler , Tasirin Johny S. , Luntungan Jooudy N.
Published: September 2024

Penelitian ini bertujuan untuk mengetahui perubahan tutupan lahan hutan pada kawasan hutan lindung Gn. Soputan di Desa Tolombukan Satu yang berubah menjadi lahan agroforestri dengan menggunakan citra digital globe tahun 2015 dan tahun 2022. Peta Tutupan lahan dibuat berdasarkan kenampakan citra pada tahun 2015 dan tahun 2022 dengan teknik interpretasi visual, teknik ini dilakukan dengan memperhatikan kunci interpretasi citra. Hasil Penelitian ini menunjukkan bahwa kawasan hutan lindung Gn. Soputan di Desa Tolombukan Satu memiliki luas 296,86 ha dan terdapat 4 jenis kelas tutupan lahan yaitu hutan, lahan agroforestri, lahan terbuka dan semak belukar. Kelas tutupan lahan hutan pada tahun 2015 sebesar 272,05 ha sedangkan pada tahun 2022 yaitu 265,07 ha. Tutupan lahan hutan mengalami pengurangan luasan sebesar 6,97 ha. Kelas tutupan lahan agroforestri pada tahun 2015 memiliki luas 20,28 ha dan pada tahun 2022 luasnya 26,30 ha. Tutupan lahan agroforestri mengalami penambahan luasan sebesar 5,93 ha. Berdasarkan hasil analisis perubahan tutupan, kelas tutupan lahan mengalami perubahan berupa hutan menjadi lahan agroforestri, lahan terbuka dan semak belukar, lahan agroforestri menjadi lahan terbuka dan semak belukar, lahan terbuka menjadi hutan, lahan agroforestri, dan lahan terbuka, semak belukar menjadi hutan, lahan agroforestri, dan lahan terbuka. Hasil analisis menunjukkan perubahan tutupan lahan hutan menjadi lahan agroforestri selama periode tahun 2015 sampai 2022 sebesar 5,19 ha.
Kata kunci: Perubahan Tutupan Lahan, Agroforestri, Desa Tolombukan Satu
Strategi Badan Kepegawaian dan Pengembangan Sumber Daya Manusia (BKPSDM) Kabupaten Bogor dalam Mengimplementasikan Manajemen Talenta dalam Memilih Ketua Tim
Authors: Rusliandy Rusliandy
Published: September 2024

Abstract The study attempts to analyze the strategy of BKPSDM Bogor Regency in implementing talent management in selecting team leaders. The research method used is a qualitative approach with data collection techniques including in-depth interviews, observations, and literature studies. Data analysis involves source triangulation. The results of the study indicate that BKPSDM Bogor Regency has implemented talent management in selecting team leaders effectively. However, there are still several challenges and obstacles, such as a lack of awareness among ASN in updating ASN profile data, inconsistency in leadership when it comes to implementing talent management, political constraints, and limited understanding of talent management. The research recommendations are as follows: (1) increasing employee engagement in updating employee data; (2) ensuring consistency among leaders or heads of BKPSDM in implementing talent management; (3) conducting extensive socialization to enhance understanding of talent management; (4) managing the organizational environment and addressing political constraints that may affect the implementation of talent management.
AbstrakPenelitian berupaya menganalisis Strategi BKPSDM Kabupaten Bogor dalam mengimplementasikan manajemen talenta dalam memilih ketua tim. Metode penelitian yang dilakukan adalah pendekatan kualitatif dengan teknik pengumpulan data menggunakan wawancara mendalam, observasi dan studi pustaka. Analisis data menggunakan triangulasi sumber. Hasil penelitian menunjukkan bahwa BKPSDM Kabupaten Bogor telah mengimplementasikan manajemen talenta dalam penentuan ketua Tim dengan baik. Namun masih Terdapat sejumlah tantangan dan hambatan diantaranya keasadaran ASN dalam updating data profile ASN, konsistensi pimpinan dalam pelaksanaan manajemen talenta, kendala politis dan pemahaman yang masih terbatas terkait manajemen talenta. Rekomendasi penelitian sebagai berikut : (1) meningkatkan keaktifan para pegawai untuk updating data pegawai; (2) Konsistensi pimpinan atau Kepala BKPSDM untuk melaksanakan manajemen talenta; (3) Sosialisasi secara masif terkait pemahaman manajemen talenta; (4) mengendalikan lingkungan organisasi dan kendala politis terkait pelaksanaan manajemen talenta.
The Role of Online Purchasing Behavior and Utilitarian Value in Influencing Impulsiveness within the Framework of the Technology Acceptance Model (TAM)
Authors: Lily Purwianti  , Angel  , Edy Yulianto
Published: September 2024

AbstractImpulse buying is the act of purchasing goods suddenly without planning, often triggered by emotional impulses. This phenomenon is important to understand because of its impact on consumer behavior and marketing strategies. Two factors that influence impulse buying are the Technology Acceptance Model (TAM), which measures the extent to which consumers accept technology based on its ease and usefulness, and utilitarian value, which relates to the practical benefits of the product. This research aims to explore purchasing impulsiveness in e-commerce. This research method is quantitative research with a descriptive statistical analysis approach. The results of this research show a significant influence of online shopping attitudes on impulsive online shopping. Ease of use does not have a significant effect on impulsive online shopping. On the other hand, ease of use influences online shopping attitudes, which shows that convenience fosters positive attitudes. This research conclusion is Perceived utilitarian factors have a major influence on individual attitudes towards e-commerce shopping usage perceived influence on impulsive online shopping or online shopping attitudes. Impulse buying is driven by emotion rather than rational consideration of utility.
AbstrakPembelian impulsif adalah tindakan membeli barang secara tiba-tiba tanpa perencanaan, yang sering kali dipicu oleh dorongan emosional. Fenomena ini penting untuk dipahami karena dampaknya terhadap perilaku konsumen dan strategi pemasaran. Dua faktor yang mempengaruhi pembelian impulsif adalah Technology Acceptance Model (TAM), yang mengukur sejauh mana konsumen menerima teknologi berdasarkan kemudahan dan kegunaannya, dan nilai utilitarian, yang berhubungan dengan manfaat praktis dari produk. Penelitian ini bertujuan untuk mengeksplorasi pembelian impulsif dalam e-commerce. Metode penelitian ini adalah penelitian kuantitatif dengan pendekatan analisis statistik deskriptif. Hasil penelitian ini menunjukkan adanya pengaruh yang signifikan dari sikap belanja online terhadap belanja online impulsif. Kemudahan penggunaan tidak memiliki pengaruh yang signifikan terhadap belanja online impulsif. Di sisi lain, kemudahan penggunaan berpengaruh terhadap sikap belanja online, yang menunjukkan bahwa kemudahan menumbuhkan sikap positif. Kesimpulan penelitian ini adalah Faktor-faktor utilitarian yang dirasakan memiliki pengaruh besar terhadap sikap individu terhadap belanja e-commerce penggunaan yang dirasakan berpengaruh terhadap belanja online impulsif atau sikap belanja online.  Pembelian impulsif lebih didorong oleh emosi daripada pertimbangan rasional atas utilitas.
Pengembangan Video Pembelajaran Keterampilan Bernuansa Nilai Karakter Siswa Sekolah Dasar
Authors: Darmawati Desak Made , Nana Eka , Busyra Nur , Alimudin M.
Published: September 2024

Penelitian ini bertujuan untuk (1) menghasilkan media video pembelajaran bernuansa nilai karakter, (2) menguji validasi media video pembelajaran, (3) mengetahui efektifitas pengembangan video pembelajaran. Metode penelitian menggunakan mixmethod kualitatif, kuantitatif dan statistic inferensial (uji-t),  pengembangan produk ADDIE (Kirna & tegeh (2010). dengan lima tahapan; a) analisis, b) perancangan, c) pengembangan, d) implementasi, e) evaluasi. Temuan hasil penelitian berdasarkan uji coba disain media video pembelajaran diperoleh sebesar 95% dengan kategori sangat baik, uji coba isi materi diperoleh sebesar 97,5 dengan kriteria sangat baik. (3) Uji coba perorangan diperoleh sebesar 98,75% predikat sangat baik, (4) uji coba kelompok kecil  95% predikat sangat baik, (5) Uji coba di lapangan diperoleh sebesar 91,25% dengan kategori sangat baik, Dengan demikian pengembangan video pembelajaran keterampilan recycling bernuansa karakter sangat layak untuk dikembangkan dapat digunakan untuk pembelajaran pada mata pelajaran SBdP secara simultan, dan dapat merubah nilai karakter siswa.