bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy
Authors: Caputi Eros , Delogu Gabriele , Patriarca Alessio , Perretta Miriam , Mancini Giulia , Boccia Lorenzo , Recanatesi Fabio , Ripa Maria Nicolina
Published: January 2025

The continuous development of satellite imagery, coupled with advancements in machine learning technologies, allows detailed mapping of terrestrial landscapes. This study evaluates the classification performance of tree typologies using Sentinel-2 and PRISMA data, focusing on central Italy’s different areas. The purpose is to assess the role of spectral and spatial resolution in land cover classification, contributing to forest management and conservation efforts. Random Forest Classifier was applied to classify tree typologies across two study areas: the Roman Coastal region and the Lake Vico Basin. Ground truth (GT) data, collected from a trial citizen survey campaign, were used for training and validation. PRISMA datasets, particularly when processed with PCA, consistently outperformed Sentinel-2. The PRISMA PCA dataset achieved the highest overall accuracy with 71.09% for the Roman Coastal region and 87.15% for the Lake Vico Basin, emphasizing the value of spectral resolution. However, Sentinel-2 showed comparative strength in spatially heterogeneous areas. Tree typologies with more uniform distribution, such as hazelnut and chestnut, achieved higher classification accuracy compared to mixed-species forests. The study assesses that Sentinel-2 remains a viable alternative where spatial resolution is critical also considering the limited PRISMA images’ availability. Moreover, the work explores the potential of combining satellites and accurate GT for improved land cover mapping.
AquaPile-YOLO: Pioneering Underwater Pile Foundation Detection with Forward-Looking Sonar Image Processing
Authors: Xu Zhongwei , Wang Rui , Cao Tianyu , Guo Wenbo , Shi Bo , Ge Qiqi
Published: January 2025

Underwater pile foundation detection is crucial for environmental monitoring and marine engineering. Traditional methods for detecting underwater pile foundations are labor-intensive and inefficient. Deep learning-based image processing has revolutionized detection, enabling identification through sonar imagery analysis. This study proposes an innovative methodology, named the AquaPile-YOLO algorithm, for underwater pile foundation detection. Our approach significantly enhances detection accuracy and robustness by integrating multi-scale feature fusion, improved attention mechanisms, and advanced data augmentation techniques. Trained on 4000 sonar images, the model excels in delineating pile structures and effectively identifying underwater targets. Experimental data show that the model can achieve good target identification results in similar experimental scenarios, with a 96.89% accuracy rate for underwater target recognition.
Underwater Sensor Networks for Communication, Navigation, and Localization
Authors: Ullah Inam
Published: January 2025

Around 70% of the Earth is covered by water, with numerous submerged locations that have yet to be monitored and supervised [...]
Research on a Density-Based Clustering Method for Eliminating Inter-Frame Feature Mismatches in Visual SLAM Under Dynamic Scenes
Authors: Yang Zhiyong , Zhao Kun , Yang Shengze , Xiong Yuhong , Zhang Changjin , Deng Lielei , Zhang Daode
Published: January 2025

Visual SLAM relies on the motion information of static feature points in keyframes for both localization and map construction. Dynamic feature points interfere with inter-frame motion pose estimation, thereby affecting the accuracy of map construction and the overall robustness of the visual SLAM system. To address this issue, this paper proposes a method for eliminating feature mismatches between frames in visual SLAM under dynamic scenes. First, a spatial clustering-based RANSAC method is introduced. This method eliminates mismatches by leveraging the distribution of dynamic and static feature points, clustering the points, and separating dynamic from static clusters, retaining only the static clusters to generate a high-quality dataset. Next, the RANSAC method is introduced to fit the geometric model of feature matches, eliminating local mismatches in the high-quality dataset with fewer iterations. The accuracy of the DSSAC-RANSAC method in eliminating feature mismatches between frames is then tested on both indoor and outdoor dynamic datasets, and the robustness of the proposed algorithm is further verified on self-collected outdoor datasets. Experimental results demonstrate that the proposed algorithm reduces the average reprojection error by 58.5% and 49.2%, respectively, when compared to traditional RANSAC and GMS-RANSAC methods. The reprojection error variance is reduced by 65.2% and 63.0%, while the processing time is reduced by 69.4% and 31.5%, respectively. Finally, the proposed algorithm is integrated into the initialization thread of ORB-SLAM2 and the tracking thread of ORB-SLAM3 to validate its effectiveness in eliminating feature mismatches between frames in visual SLAM.
Simulation Analysis of the Semi-Trailer Steered Wheels Control Algorithm
Authors: Abramowski Michał , Fundowicz Piotr , Sar Hubert , Reński Andrzej , Brukalski Mateusz
Published: January 2025

As part of improving road safety around trucks, a solution was proposed to reduce the swept path width of a moving tractor–semi-trailer. This article presents a mathematical analysis of the movement of a tractor unit with a traditional semi-trailer with fixed axles and steered wheels. A simulation analysis of both presented vehicles was carried out. The core of the algorithm controlling the steering angle of the semi-trailer wheels is presented. The influence of controlling the semi-trailer’s swivel wheels on the swept path width of a tractor–trailer with a semi-trailer equipped with swivel wheels is discussed. The assumptions for building the control algorithm are presented. The article presents the advantages of the solution used along with the control algorithm. Measurable benefits resulting from the use of the presented solution are presented, such as increasing cargo space, reducing cargo transport costs, and reducing aerodynamic resistance and fuel consumption. It is worth emphasizing that reducing fuel consumption is very important because it reduces the emission of harmful exhaust gases into the atmosphere. The swept path width is important especially in the case of vehicles moving in a limited area, for example in the parking lots of transhipment and logistics centers, between urban buildings. Vehicles admitted to traffic meet the minimum conditions imposed by homologation regulations, but reducing the swept path width allows for improving the operational properties of the tractor–semi-trailer. The use of the proposed control algorithm to control the turn of the semi-trailer’s steered wheels brings tangible benefits both in improving road safety and in reducing the emission of harmful substances into the environment.
How Social Trust Affects Young Adults’ Mental Health: Chain Mediation Effects of Social Sustainability in Communities
Authors: Li Zhiyi , Jin Yongzhu , Yang Mengyao
Published: January 2025

The community is the primary living environment of youth groups and serves as a bridge between the individual and society. However, few studies have examined how the social environment affects mental health by influencing the social sustainability of the community. This study examines the chain mediating effects of neighbor interactions, reciprocity, and perceived work stress (i.e., social sustainability of communities) in the association of social trust (i.e., social environment) and mental health among Chinese young adults. The data came from the cross-section data from the Chinese General Social Survey (2021). Multiple linear regression models revealed that both social trust and neighbor interactions were significantly and positively related to the mental health of young adults. The structural equation model revealed that social trust had a direct effect on increasing neighbor interactions, which in turn indirectly influenced neighbor reciprocity and perceived work stress, and gradually resulted in the reduction of depressed mood. The findings indicate that neighbor interactions could be advocated and strengthened in communities. Additionally, policymakers should create a more trusting and inclusive social environment to improve the mental health of young adults.
Identification and Analysis of Production–Living–Ecological Space Based on Multi-Source Geospatial Data: A Case Study of Xuzhou City
Authors: Wang Weilin , Zhao Yindi , Ma Caihong , Dong Simeng
Published: January 2025

Effective production, living, and ecological space allocation is essential for improving and optimizing urban space development. In this study, we proposed a production–living–ecological space (PLES) identification method based on Point of Interest (POI) data and China Land Cover Dataset (CLCD) to identify PLESs in Xuzhou City for the years 2012, 2018, and 2022, with an average recognition accuracy of 89.81%. Moreover, the land-use transfer matrix, center of gravity migration, and Geo-detector were used to reveal the spatiotemporal pattern evolution of PLESs. The results showed that: (1) The distribution of PLESs presented significant differentiation between Urban Built-Up Area (UBUA) and Non-Urban Built-Up Area (NUBUA). UBUA was mainly composed of living spaces, while NUBUA was primarily characterized by production–ecological spaces. (2) The intensive utilization of urban land led to an increase in the area of multifunctional spaces, while the complexity of urban space increased. (3) During 2012 to 2022, the center of gravity of PLESs remained relatively stable. The moving distances were all less than 1 km (except for ecological space from 2012 to 2018). (4) The evolution of PLESs was closely linked with socio-economic factors, and the interactions between the factors also had a significant driving effect on PLESs.
Bratteli Diagrams, Hopf–Galois Extensions and Calculi
Authors: Alhamzi Ghaliah , Beggs Edwin
Published: January 2025

Hopf–Galois extensions extend the idea of principal bundles to noncommutative geometry, using Hopf algebras as symmetries. We show that the matrix embeddings in Bratteli diagrams are iterated direct sums of Hopf–Galois extensions (quantum principal bundles) for certain finite abelian groups. The corresponding strong universal connections are computed. We show that Mn(C) is a trivial quantum principle bundle for the Hopf algebra C[Zn×Zn]. We conclude with an application relating calculi on groups to calculi on matrices.
A Technique for Image Encryption Using the Modular Multiplicative Inverse Property of Mersenne Primes
Authors: A. Shanooja M. , N. Anil Kumar M.
Published: January 2025

Mersenne prime numbers, expressed in the form (2n − 1), have long captivated researchers due to their unique properties. The presented work aims to develop a symmetric cryptographic algorithm using a novel technique based on the logical properties of Mersenne primes. Existing encryption algorithms exhibit certain challenges, such as scalability and design complexity. The proposed novel modular multiplicative inverse property over Mersenne primes simplifies the encryption/decryption process. The simplification is achieved by computing the multiplicative inverse using cyclic bit shift operation. The proposed image encryption/decryption scheme involves a series of exor, complement, bit shift, and modular multiplicative inversion operations. The image is segmented into blocks of 521 bits. Each of these blocks is encrypted using a 521-bit key, ensuring high entropy and low predictability. The inclusion of cyclic bit shifting and XOR operations in the encryption/decryption process enhances the diffusion properties and resistance against attacks. This approach was experimentally proven to secure the image data while preserving the image structure. The experimental results demonstrate significant improvements in security metrics, including key sensitivity and correlation coefficients, confirming the technique’s effectiveness against cryptographic attacks. Overall, this method offers a scalable and secure solution for encrypting high-resolution digital images without compromising computational efficiency.
Detoxification of Ustiloxin A Through Oxidative Deamination and Decarboxylation by Endophytic Fungus Petriella setifera
Authors: Li Peng , Gu Gan , Hou Xuwen , Xu Dan , Dai Jungui , Kuang Yu , Wang Mingan , Lai Daowan , Zhou Ligang
Published: January 2025

Ustiloxins are a group of cyclopeptide mycotoxins produced by rice false smut pathogen Villosiclava virens (anamorph: Ustilaginoidea virens) which seriously threaten the safety production of rice and the health of humans and livestock. Ustiloxin A, accounting for 60% of the total ustiloxins, is the main toxic component. Biotransformation, a process of modifying the functional groups of compounds by means of regio- or stereo-specific reactions catalyzed by the enzymes produced by organisms, has been considered as an efficient way to detoxify mycotoxins. In this study, the endophytic fungus Petriella setifera Nitaf10 was found to be able to detoxify ustiloxin A through biotransformation. Two transformed products were obtained by using the cell-free extract (CFE) containing intracellular enzymes of P. setifera Nitaf10. They were structurally characterized as novel ustiloxin analogs named ustiloxins A1 (1) and A2 (2) by analysis of the 1D and 2D NMR and HRESIMS spectra as well as by comparison with known ustiloxins. The cytotoxic activity of ustiloxins A1 (1) and A2 (2) was much weaker than that of ustiloxin A. The biotransformation of ustiloxin A was found to proceed via oxidative deamination and decarboxylation and was possibly catalyzed by the intracellular amine oxidase and oxidative decarboxylase in the CFE. An appropriate bioconversion was achieved by incubating ustiloxin A with the CFE prepared in 0.5 mol/L phosphate buffer (pH 7.0) for 24 to 48 h. The optimum initial pH values for the bioconversion of ustiloxin A were 7–9. Among eight metal ions (Co2+, Cu2+, Fe3+, Zn2+, Ba2+, Ca2+, Mg2+ and Mn2+) tested at 5 mmol/L, Cu2+, Fe3+ and Zn2+ totally inhibited the conversion of ustiloxin A. In conclusion, detoxification of ustiloxin A through oxidative deamination and decarboxylation is an efficient strategy.
Approximate SU(5) Fine Structure Constants
Authors: Nielsen Holger B.
Published: January 2025

We fit the three finestructure constants of the Standard Model, in which the first approximation of theoretically estimable parameters include (1) a “unified scale”, turning out not equal to the Planck scale and thus only estimable by a very speculative story, the second includes (2) a “number of layers” being a priori the number of families, and the third is (3) a unified coupling related to a critical coupling on a lattice. So formally, we postdict the three fine structure constants! In the philosophy of our model, there is a physical lattice theory with link variables taking values in a (or in the various) “small” representation(s) of the standard model Group. We argue for that these representations function in the first approximation based on the theory of a genuine SU(5) theory. Next, we take into account fluctuation of the gauge fields in the lattice and obtain a correction to the a priori SU(5) approximation, because of course the link fluctuations not corresponding to any standard model Lie algebra, but only to the SU(5), do not exist. The model is a development of our old anti-grand-unification model having as its genuine gauge group, close to fundamental scale, a cross-product of the standard model group S(U(3)×U(2)) with itself, with there being one Cartesian product factor for each family. In our old works, we included the hypothesis of the “multiple point criticallity principle”, which here effectively means the coupling constants are critical on the lattice. Counted relative to the Higgs scale, we suggest in our sense that the“unified scale” (where the deviations between the inverse fine structure constants deviate by quantum fluctuations being only from standard model groups, not SU(5)) makes up the 2/3rd power of the Planck scale relative to the Higgs scale or the topquarkmass scale.
Refined Wilding for Functional Biodiversity in Urban Landscapes: A Verification and Contextualisation
Authors: Vogt Melissa
Published: January 2025

Optimising existing knowledge sets and encouraging the integration of interdisciplinary study findings can facilitate the advanced functions of biodiversity required for sustainable urban landscapes. Urban Green Spaces (UGS) can reach across an urban landscape, including indoor environments. The existing and traditional knowledge sets and practices for urban development and greening provide extensive and pertinent guidance; they are however variably implemented. More recent and advanced knowledge sets where properly utilised can optimise and provide advanced function. When adequately brought together, advanced sustainability for urban landscapes can significantly improve global sustainability performance. This article uses the final step of classic grounded theory to contextualise, verify and define refined wilding as a substantiating concept for functional biodiversity as theory for urban landscapes and for sustainable urban development. Refined wilding works toward wild refined UGS that functionally connect across an urban space and landscape, including positive influential flows with grey and transparent spaces. Where used to guide urban design, strategies, vision and goals this concept can provide (i) a conceptual framing that optimises and encourages an organisation of interdisciplinary and advanced knowledge, improving and advancing sustainable urban development, and (ii) a specificity, and overarching and comprehensive guidance for various UGS types toward the positive outcome of functional biodiversity. Functionally biodiverse UGS and landscapes require lower maintenance and perform at an advanced level for human health, economic development, the natural environment, and built or paved environments and landscapes. In turn, addressing how human activity and modification of urban landscapes can significantly degrade human health and the natural environment, or underachieve. Refined wilding (i) substantiates functional biodiversity as a positive outcome for urban landscapes, with a balance between ecological functions and functions for human populations; (ii) considers quality, function, and connectivity of and between UGS and spaces where UGS could be introduced or improved; (iii) enables an improvement, and addresses common barriers to UGS accomplishing advanced functions for urban sustainability; (iv) encourages urban wilding by functional native and non-native selections, and natural and semi-natural UGS; (v) positively influences and is influenced by grey (built environment) and transparent spaces (blue/aquatic and air).
SARS-CoV-2 Impairs Osteoblast Differentiation Through Spike Glycoprotein and Cytokine Dysregulation
Authors: Freiberger Rosa Nicole , López Cynthia Alicia Marcela , Jarmoluk Patricio , Palma María Belén , Cevallos Cintia , Sviercz Franco Agustin , Grosso Tomás Martín , García Marcela Nilda , Quarleri Jorge , Delpino M. Victoria
Published: January 2025

Pulmonary and extrapulmonary manifestations have been reported following infection with SARS-CoV-2, the causative agent of COVID-19. The virus persists in multiple organs due to its tropism for various tissues, including the skeletal system. This study investigates the effects of SARS-CoV-2 infection, including both ancestral and Omicron viral strains, on differentiating mesenchymal stem cells (MSCs), the precursor cells, into osteoblasts. Although both viral strains can productively infect osteoblasts, precursor cell infection remained abortive. Viral exposure during osteoblast differentiation demonstrates that both variants inhibit mineral and organic matrix deposition. This is accompanied by reduced expression of runt-related transcription factor 2 (RUNX2) and increased levels of interleukin-6 (IL-6), a cytokine that negatively regulates osteoblast differentiation. Furthermore, the upregulation of receptor activator of nuclear factor kappa B ligand (RANKL) strongly suggests that the ancestral and Omicron variants may disrupt bone homeostasis by promoting osteoclast differentiation, ultimately leading to the formation of bone-resorbing cells. This process is dependent of spike glycoprotein since its neutralization significantly reduced the effect of infective SARS-CoV-2 and UV-C inactivated virus. This study underscores the capacity of ancestral and Omicron SARS-CoV-2 variants to disrupt osteoblast differentiation, a process essential for preserving the homeostasis and functionality of bone tissue.
A Study on the Induction of Multi-Type Immune Responses in Mice via an mRNA Vaccine Based on Hemagglutinin and Neuraminidase Antigen
Authors: Liu Mengyuan , Liu Yixuan , Song Shaohui , Qiao Qiurong , Liu Jing , Xie Yun , Zhou Jian , Liao Guoyang
Published: January 2025

Background: The Influenza A virus (IAV), a pathogen affecting the respiratory system, represents a major risk to public health worldwide. Immunization remains the foremost strategy to control the transmission of IAV. The virus has two primary antigens: hemagglutinin (HA) and neuraminidase (NA). Our previous studies have demonstrated that an IAV NA mRNA vaccine can induce Th1-type immune responses in mice. This research examined the immune responses elicited by an mRNA vaccine targeting both HA and NA antigens in murine models. Methods: In this study, we used two dual-antigen immunization strategies: single-site immunization with an IAV HA+NA mRNA vaccine and multi-site immunization with an IAV HA mRNA vaccine and IAV NA mRNA vaccine. Hemagglutination-inhibiting antibody titer and neutralizing antibody titer in the sera of immunized mice were evaluated, and a viral challenge experiment was conducted. Additionally, the immune responses elicited by the two immunization strategies were characterized using flow cytometry and ELISA. Comparative analyses were performed with mice immunized individually with the IAV HA mRNA vaccine, IAV NA mRNA vaccine, and inactivated vaccine. Results: The results showed that by using a multi-site immunization strategy, mice were able to generate higher levels of hemagglutination-inhibiting and neutralizing antibodies, and were protected in a viral challenge experiment. Moreover, the multi-site regimen also promoted the generation of cytotoxic T cells and maintained a balanced Th1/Th2 immune response. Conclusions: Using mRNA vaccine based on a HA and NA antigen with multi-site immunization strategy can induce higher levels of hemagglutination-inhibiting and neutralizing antibodies, and multi-type immune responses in mice, providing new theoretical and experimental support for advancing upcoming influenza vaccines.
Landslide-Induced Wave Run-Up Prediction Based on Large-Scale Geotechnical Experiment: A Case Study of Wangjiashan Landslide Area of Baihetan Reservoir, China
Authors: Tian Lei , Lei Jie , Mao Pengchao , Xie Wei-Chau
Published: January 2025

When a landslide mass enters a water body, it generates waves that propagate along the river channel, climb up upon reaching the riverbank, and impact nearby residential areas. To investigate the characteristics of wave run-up on a three-dimensional terrain, this study established a large-scale 3D physical model with a scale of 1:150 (dimensions: 64 m × 40 m × 3 m) based on the geological features of a specific amphibious landslide. The results show that the landslide-induced waves can partially inundate nearby residential areas. The unique terrain formed by the combination of residential areas and the southern riverbank amplifies the wave run-up height. A predictive formula was used to estimate the wave run-up height during wave convergence. This study provides valuable insights for predicting wave run-up heights in three-dimensional terrains. Considering the influence of different water levels on wave run-up, the study can be used to optimize water level regulation.
Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning
Authors: Hou Junjian , Zhang Bingyu , Zhong Yudong , He Wenbin
Published: January 2025

In response to the rising frequency of traffic accidents and growing concerns regarding driving safety, the identification and analysis of dangerous driving behaviors have emerged as critical components in enhancing road safety. In this paper, the research progress in the recognition methods of dangerous driving behavior based on deep learning is analyzed. Firstly, the data collection methods are categorized into four types, evaluating their respective advantages, disadvantages, and applicability. While questionnaire surveys provide limited information, they are straightforward to conduct. The vehicle operation data acquisition method, being a non-contact detection, does not interfere with the driver’s activities but is susceptible to environmental factors and individual driving habits, potentially leading to inaccuracies. The recognition method based on dangerous driving behavior can be monitored in real time, though its effectiveness is constrained by lighting conditions. The precision of physiological detection depends on the quality of the equipment. Then, the collected big data are utilized to extract the features related to dangerous driving behavior. The paper mainly classifies the deep learning models employed for dangerous driving behavior recognition into three categories: Deep Belief Network (DBN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN). DBN exhibits high flexibility but suffers from relatively slow processing speeds. CNN demonstrates excellent performance in image recognition, yet it may lead to information loss. RNN possesses the capability to process sequential data effectively; however, training these networks is challenging. Finally, this paper concludes with a comprehensive analysis of the application of deep learning-based dangerous driving behavior recognition methods, along with an in-depth exploration of their future development trends. As computer technology continues to advance, deep learning is progressively replacing fuzzy logic and traditional machine learning approaches as the primary tool for identifying dangerous driving behaviors.
DAMPAK KURS, INFLASI DAN SUKU BUNGA PADA EKSPOR NON-MIGAS INDONESIA KE ASEAN
Authors: TAMPUBOLON ARSYAF
Published: January 2025

This study was conducted to analyze the factors that can affect the growth of Indonesia's non-oil and gas exports to ASEAN countries. The dependent variable used in this study is non-oil and gas exports and the dependent variables are the dollar exchange rate, inflation rate and BI interest rate. The research was conducted in Indonesia with the data taken is the period from 2010 to 2023. The data source used is secondary data sourced from the Indonesian Central Bureau of Statistics, and Bank Indonesia. Data analysis uses the help of e-views software by conducting multiple regression analysis tests. The results of this study apparently prove that the variables of dollar exchange rate, inflation and BI interest rate affect Indonesia's non-oil and gas exports to ASEAN countries..
Complete Electric Field Characterization of Ultrashort Multicolor Pulses
Authors: Kubullek Maximilian , Silva-Toledo Miguel A. , Mainz Roland E. , Scheiba Fabian , de Q. Garcia Rafael , Ritzkowsky Felix , Rossi Giulio Maria , Kärtner Franz X.
Published: January 2025

The advancement of laser technology, producing increasingly shorter and more intricate optical pulses, has elevated the significance of precise characterization of a transient electric field, including the carrier-envelope phase. This characterization must cover progressively larger spectral bands and be performed as close as possible to the experimental site to enable a detailed understanding of the coherent light–matter interaction. Furthermore, in many experiments, two (or more) different ultrashort pulses are used, calling for a technique capable of characterizing multiple electric fields simultaneously. Here, we introduce the TREX (third-order reconstruction of electric fields via cross(X)-correlation) method, which allows the all-optical, in situ characterization of the complete electric fields of 2 broadband pulses with different central wavelengths. The method relies on the measurement of the perturbative third-order nonlinear response generated in a noble gas target while varying the delay between 2 pulses. The resulting spectrograms can be reconstructed using a custom evolutionary algorithm. The technique is demonstrated by retrieving the complete electric field, including the carrier-envelope phase, generated by the coherent synthesis of 2 ultrashort pulses. These synthesized waveforms reach time durations below a single optical cycle, demonstrating the ability of TREX to characterize complex multioctave-spanning electric fields.
Supply model in academic workshop of coffee bean roasting
Authors: Ramírez-Román Adolfo , Rodríguez-Rodríguez Luis Alberto , Suárez-Álvarez Ángel , Chabat-Uranga Jacqueline
Published: January 2025

In the international market, companies encourage the generation of ideas
to enter the environment and gain competitive advantage. Consequently,
supply models are the combination of technology and good business
practices from the industrial sector, including the information systems
required to check activities. The aim of this study is to analyze the supply
of operations in the production process of a coffee roasting workshop.
Indicators and operations strengthen the development and execution of
supply chain planning, organization and management. With field work in
coffee farms, profits and companies found in the main producing regions
of central Veracruz: Coatepec, Ixhuatlan del Coffee, Huatusco and
Cordoba.
PENGARUH PROMOSI WISATA TERHADAP MINAT BERKUNJUNG WISATAWAN DOMESTIK PADA OBJEK WISATA KELABBA MADJA KABUPATEN SABU RAIJUA
Authors: Ratu Lenox Mata , Fanggidae Apriana H J , Fanggidae Rolland E , Natonis Sari A
Published: January 2025

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh promosi pariwisata terhadap minat berkunjung wisatawan nusantara di objek wisata Kelabba Madja Kabupaten Sabu Raijua. Penelitian ini menggunakan metode kuantitatif dan data dianalisis dengan menggunakan teknik analisis regresi linier sederhana. Responden penelitian berjumlah 100 orang dan pengumpulan data dilakukan dengan menyebarkan kuesioner. Untuk data pendukung dilakukan wawancara dan observasi lapangan. Temuan dalam penelitian ini adalah promosi pariwisata berpengaruh signifikan terhadap minat kunjungan wisatawan nusantara ke Kelabba Madja. Keterbatasan penelitian ini adalah ruang lingkup pembahasan yang sempit dan dilakukan pada saat Covid-19 terjadi. Manfaat penelitian ini adalah sebagai informasi ilmiah bagi pemerintah daerah untuk mengkaji kebijakan pengelolaan pariwisata khususnya objek wisata Kelabba Madja dan sebagai bahan kajian pagi bagi mahasiswa pemasaran dan pariwisata.
Kata Kunci       :           Promosi, Pariwisata, dan Minat Berkunjung
PENGARUH KUALITAS LAYANAN, HARGA DAN LOKASI TERHADAP KEPUASAN PELANGGAN PADA BENGKEL ARTHUR KUPANG
Authors: Seran Robert A , Fanggidae Ronald P C , Amtiran Paulina Yuritha , Suryaputra Filipus A G
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas layanan, harga, dan lokasi terhadap kepuasan pelanggan pada bengkel Arthur Kupang dengan menggunakan penelitian survey yang kuisionernya disebarkan kepada pelanggan bengkel Arthur untuk pengumpulan datanya. Populasi pada penelitian ini adalah seluruh pembeli di bengkel Arthur dan jumlah sampel yang diambil berjumlah 96 responden dengan menggunakakn teknik rumus lemeshow. Metode penelitian yang digunakan adalah metode penelitian kuantitatif. Uji validitas dan uji reliabilitas digunakan dalam uji kualitas data, uji multikolinearitas dan uji heterokedastisitas serta uji normalitas digunakan dalam uji asumsi klasik, dan uji t dan uji F digunakan untuk uji hipotesisnya. Uji kualitas data dan uji asumsi klasik sudah terpenuhi kemudian diolah sehingga menghasilkan persamaan regresi Y=-14,891+0,335(X1)+0,792(X2)+0,312(X3) dimana kualitas layanan, harga, dan lokasi memiliki hubungan positif dan berpengaruh secara signifikan terhadap kepuasan pelanggan. hasil dari uji F ditunjukkan secara simultan berpengaruh ketiga variabel independen terhadap variabel dependen. Hasil uji determinasi menunjukkan bahwa nilai adjusted R square sebesar 0,721 yang menunjukkan besar persentase sumbangan variabel independen (X) terhadap variabel dependen (Y) sebesar 72,1% dan sisanya dipengaruhi oleh variabel lain yang tidak dimasukkan dalam penelitian ini.
Kata kunci : Harga, Kepuasan Pelanggan, Kualitas Layanan, Lokasi
PENGARUH KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP MOTIVASI KERJA TENAGA KESEHATAN PUSKESMAS MONI, KECAMATAN KELIMUTU, KABUPATEN ENDE
Authors: Maru Euphrasia Yosefina , Nursiani Ni Putu , Kurniawati Merlyn , Timuneno Tarsisius
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh kompensasi dan lingkungan kerja terhadap motivasi kerja tenaga kesehatan pada Puskesmas Moni secara persial maupun simultan.  Jenis penelitian yang digunakan dalam penelitian ini ialah jenis penelitian asosiatif yang bertujuan untuk mengetahui hubungan dua variabel atau lebih dan pendekatan penelitian yang digunakan adalah pendekatan kuantitatif. Teknik pengumpulan dalampenelitian ini menggunakan kuesioner, wawancara, dokumentasi, dan observasi. Sampel dalam penelitian ini diambil menggunakan teknik simple random sampling dengan rumus Slovin diperoleh 38 responden. Teknik analisis yang digunakan adalah analisis statistic deskriptif dan analisis inferensial yang menggunakan analisis regresi linear berganda dengan bantuan aplikasi SPSS versi 26. Uji hipotesis dilakukan dengan uji t dan uji F dimana sebelum menggunakan uji ini dilakukan uji asumsi klasik. Hasil uji t menunjukan bahwa variabel kompensasi pengaruh positif dan signifikan terhadap motivasi kerja tenaga kesehatan pada Puskesmas Moni dan Lingkungan Kerja berpengaruh positif dan signifikan terhadap motivasi kerja tenaga kesehatan  pada Puskesmas Moni. Hasil uji simultan menunjukan bahwa variabel kompensasi dan lingkugan kerja berpengaruh secara simultan terhadap motivasi kerja tenaga kesehatan pada Puskesmas Moni.
Kata Kunci : Kompensasi, Lingkungan Kerja, dan Motivasi Kerja
PENGARUH KEMAMPUAN KERJA DAN KOMITMEN ORGANISASIONAL TERHADAP PRESTASI KERJA KARYAWAN KOPERASI SIMPAN PINJAM KOPDIT SOLIDARITAS KUPANG
Authors: Lani Alny Jenalva Marwilbetla Mellu , Timuneno Tarsisius , Neno Marianus M , Fanggidae Rolland E
Published: January 2025

Penelitian ini berjudul “Pengaruh Kemampuan Kerja Dan Komitmen Organisasional Terhadap Prestasi Kerja Karyawan Pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang”. Penelitian ini bertujuan untuk : 1) Untuk mendeskripsikan kemampuan kerja, komitmen organisasional dan prestasi kerja karyawan pada Koperasi Simpan Pinjam Solidaritas Kupang. 2) Untuk mengetahui  pengaruh kemampuan kerja terhadap prestasi kerja karyawan pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. 3) Untuk mengetahui pengaruh komitmen organisasional terhadap prestasi kerja karyawan pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. 4) Untuk mengetahui pengaruh kemampuan dan komitmen organisasional tehadap prestasi kerja karyawan pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif kuantitatif. Pengumpulan data menggunakan kuesioner dengan jumlah responden 35 responden yang bekerja pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. Dengan menggunakan analisis regresi linear berganda dan olah data menggunakan SPSS.
Hasil analisis deskriptif menunjukkan bahwa rata-rata capaian skor pada variabel Kemampuan Kerja, Komitmen Organisasional dan Prestasi Kerja Karyawan berada pada kategori penilaian tinggi. Selanjutnya, dilihat seberapa besar pengaruh Kemampuan Kerja dan Komitmen Organisasional terhadap Prestasi Kerja Karyawan pada pengujian hipotesis. Dari hasil uji regresi linear berganda didapatkan nilai adjust R Square sebesar 30,6% sehingga dapat dijelaskan bahwa 30,6% variabel Kemampuan Kerja, Komitmen Organisasional memengaruhi Prestasi Kerja Karyawan. Sedangkan selisihnya 69,4% dipengaruhi oleh variabel lain.
Hasil uji hipotesis secara parsial membuktikan bahwa variabel kemampuan kerja berpengaruh positif dan signifikan terhadap prestasi kerja karyawan pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. Hasil uji hipotesis secara parsial membuktikan bahwa variabel komitmen organisasional tidak berpengaruh signifikan terhadap prestasi kerja karyawan pada Koperasi Simpan Pinjam Kopdit Solidaritas Kupang. Kemampuan kerja dan komitmen organisasional secara simultan berpengaruh positif dan signifikan terhadap Koperasi Simpan Pinjam Kopdit Solidaritas Kupang.
Kata Kunci : Kemampuan Kerja, Komitmen Organisasional, Prestasi Kerja
ANALISIS MODAL KERJA TERHADAP PENDAPATAN NELAYAN TANGKAP DI KECAMATAN ALAK, KOTA KUPANG, NUSA TENGGARA TIMUR
Authors: Suan Alfa M , Fanggidae Rolland E , Ndoen Wehelmina M , De Rozari Petrus
Published: January 2025

Penelitian ini dilakukan pada Nelayan Tangkap Di Kecamatan Alak, Kota Kupang, Nusa Tenggara Timur. Penelitian ini dilakukan untuk mengetahui bagaimana pengaruh modal terhadap pendapatan nelayan  tangkap di Kecamatan Alak, Kota Kupang, Nusa Tenggara Timur. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Informan dalam peneletian ini merupakan Nelayan tangkap di Kecamatan Alak. Teknik pengumpulan data pada penelitian ini adalah wawancara, observasi dan dokumentasi. Teknis analisis data pada penelitian ini adalah Reduksi data, Penyajian Data dan Penarikan Kesimpulan. Hasil Penelitian menunjukan bahwa Nelayan dengan kapal motor mengunakan seluruh unsur modal kerja kualitatif yaitu kas, pitang, persediaan dan hutang, Dalah hal pendapatan nelayan kapal motor memiliki pendapatan tertinggi diantara kategori lainya, Nelayan dengan perahu motor tempel mengunakan 3 unsur modal kerja kualitatif yaitu kas dan persediaan dan hutang, namun dalam hal pendapatan nelayan perahu motor tempel lebih rendah dibanding dengan perahu kapal motor.Nelayan dengan perahu tampa motor hanya mengunakan 1 unsur modal kerja kualitatif yaitu persedia, dan pendapatan dari nelayan jenis ini paling rendah dibanding kategori lainya.
Kata Kunci : Modal Kerja, Pendapatan
ANALISIS DIGITAL MARKETING DALAM PENJUALAN MAJALAH KESEHATAN PADA PT. MEDIKA STAR KOTA KUPANG
Authors: Keytimu Ewaldus Sipri , Bunga Markus , Dhae Yosefina K I D D , Fanggidae Apriana H J
Published: January 2025

Perubahan teknologi digital saat ini mempengaruhi berbagai aktivitas masyarakat, termasuk aktivitas bisnis. Digitalisasi bisnis merupakan proses yang mengubah komunikasi, interaksi, dan segala manfaat dalam bisnis menjadi digital. Salah satu trend dalam proses bisnis digital adalah pemasaran digital. Tujuan penelitian ini adalah untuk menganalisis bagaimana penerapan strategi digital marketing oleh PT. Medika Star Kota Kupang dalam penjualan majalah kesehatan. Penelitian ini merupakan jenis penelitian studi kasus dengan pendekatan deskriptif kualitatif. Penelitian ini menggunakan teknik wawancara, observasi, dan dokumentasi dalam proses pengumpulan data pada PT. Medika Star. Hasil analisis dari penelitian ini adalah penerapan digital marketing dalam penjualan majalah kesehatan pada PT. Medika Star Kupang merupakan strategi pemasaran yang tepat dilakukan di era globalisasi saat ini karena efektif dalam meningkatkan volume penjualan.
Kata kunci : Strategi Pemasaran, Digital Marketing
ANALISIS PENGEMBANGAN OBYEK WISATA OETUKE UNTUK MENINGKATKAN PENDAPATAN BUMDES NEKAMESE DI DESA OETUKE KEC. KOLBANO KAB. TTS
Authors: Widyastuti Nurul , Ndoen Wehelmina M , Makatita Reyner F , De Rozari Petrus E
Published: January 2025

Penelitian ini bertujuan untuk menganalisis pengembangan obyek wisata Oetuke untuk meningkatkan pendapatan Bumdes Nekamese di Desa Oetuke Kec. Kolbano, Kab. TTS. Penelitian ini merupakan penelitian deskriptif dengan metode penelitian campuran yang datanya diperoleh melalui observasi, wawancara, dan dokumentasi. Teknik analisis data yang digunakan analysis model dari Milis dan Huberman. Hasil penelitian menunjukan bahwa; pengembangan obyek wisata oetuke seperti membangun cafe, toko, perbaikan infrastruktur, dapat menciptakan lapangan kerja dan peluang usaha baru sehingga pendapatan Bumdes meningkat; Faktor-faktor yang menghambat pengembangan Pantai Oetuke seperti kurangnya pengetahuan dan partisipasi masyarakat lokal, tidak adanya promosi yang dilakukan, kurang memadainya sarana prasarana objek wisata dan fasilitas penunjang; Berdasarkan arus kas (cash flow) pendapatan bersih bumdes mengalami penurunan pada tahun 2021 dan kembali meningkat dari tahun 2022 hingga 2025.
Kata Kunci :  Pengembangan Pariwisata, Pendapatan Bumdes, Faktor Penghambat, Arus Kas
PENGARUH GAYA KEPEMIMPINAN TRANSAKSIONAL DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN PADA KSP KOPDIT SOLIDARITAS STA. MARIA ASSUMPTA KUPANG
Authors: Tulun Wilhelmus , Nursiani Ni Putu , Kurniawati Merlyn , Timuneno Tarsisius
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh Gaya Kepemimpinan Transaksional dan Motivasi Kerja terhadap Kinerja Karyawan pada KSP. Kopdit Solidaritas Sta. Maria Assumpta Kupang. Metode penelitian ini menggunakan pendekatan kuantitatif dengan metode survey melalui penyebaran kuesioner. Populasinya adalah seluruh karyawan KSP Kopdit Solidaritas Sta. Maria Assumpta Kupang berjumlah 60 orang dengan teknik pengambilan sampel menggunakan sampel jenuh dimana semua populasi dijadikan sampel. Teknis analisis data yang digunakan adalah regresi linear berganda menggunakan SPSS 21. Hasil analisis deskriptif menunjukan bahwa rata-rata capaian skor pada variabel Gaya Kepemimpinan Transaksioal, Motivasi Kerja, dan Kinerja Karyawan berada pada kategori penilain sangat tinggi. Peneliti juga melihat seberapa besar pengaruh Gaya Kepemimpinan Transaksional dan Motivasi Kerja terhadap Kinerja Karyawan pada pengujian hipotesis. Berdasarkan hasil uji regresi linear berganda didapatkan nilai Adjust R Square sebesar 0,760, hal ini berarti 76% variabel Gaya Kepemimpinan Transaksional dan Motivasi Kerja memengaruhi Kinerja Karyawan. Sedangkan selisihnya 24% dipengaruhi oleh variabel lain. Hasil penelitian ini menunjukan bahwa Gaya Kepemimpinan Transaksional secara parsial berpengaruh positif dan signifikan terhadap kinerja karyawan dengan nilai nilai t hitung sebesar 3,259 dan nilai signifikansi 0,002 lebih kecil dari 0,05. Motivasi Kerja secara parsial berpengaruh positif terhadap kinerja karyawan dengan nilai t hitung sebesar 12,639 dan nilai signifikansi 0,000 lebih kecil dari 0,05. Gaya Kepemimpinan Transaksional dan Motivasi Kerja secara simultan berpengaruh signifikan terhadap Kinerja Karyawan dengan nilai F hitung sebesar 94,261 dan nilai signifikansi 0,000 lebih kecil dai 0,05.
Kata Kunci : Kepemimpinan Transaksional, Motivasi Kerja, Kinerja karyawan
PENGARUH KUALITAS PRODUK DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN SEPATU FUTSAL MEREK SPECS DI KOTA KUPANG MELALUI CITRA MEREK SEBAGAI VARIABEL INTERVENING
Authors: Nyola Paul Gilberth , Fanggidae Ronald P C , Dhae Yosefina K I D D , Fanggidae Apriana H J
Published: January 2025

Metode yang digunakan dalam penelitian ini adalah deskriptif kuantitatif. Pengumpulan data menggunakan kuesioner dengan jumlah responden 100 responden. Dengan menggunakan analisis linear berganda dan diuji dengan uji t, uji F dan uji sobel dan olah data menggunakan SPSS. Hasil penelitian berdasarkan uji hipotesis secara parsial menunjukan bahawa kualitas produk berpengaruh secara ignifikan terhadap keputusan pembelian sepatu futsal merek Specs Di Kota Kupang. Hasil penelitian berdasarkan uji sobel menunjukan bahwa kualitas produk berpengaruh secara signifikan terhadap keputusan pembelian sepatu futsal merek Specs di Kota Kupang melalui citra merek sebagai variabel intervening.
Kata Kunci : Kualitas Produk, Harga, Keputusan pembelian, Citra merek
PENGARUH CITRA MEREK DAN HERGA TERHADAP KEPUTUSAN PEMBELIAN SEPATU CONVERSE ALL STAR PADA MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS NUSA CENDANA
Authors: Sudrajat Nur Ihsan Arif , Bunga Markus , Kurniawati Merlyn , Foenay Christien C
Published: January 2025

Penelitian ini memiliki tujuan untuk mengetahui dan menganalisis pengaruh citra merek dan harga terhadap keputusan pembelian pada produk sepatu Converse All Star. Dimana populasi yang digunakan dalam penelitian ini yaitu mahasiswa atau mahasiswi Universitas Nusa Cendana Fakultas Ekonomi Dan Bisnis yang membeli/menggunakan sepatu Converse All Star. Jenis penelitian ini menggunakan metode kuantitatif dalam menentukan sampel teknik pengambilan sampel menggunakan teknik Purposive Sampling dengan teknik accidental sampling dengan jumlah sampel yang diperoleh sebanyak 50 responden. Jenis data yang digunakan yaitu bersumber dari data primer yang diperoleh dari penyebaran kuisioner.Teknik analisis data yang digunakan dalam penelitian ini adalah metode analisis regresi linier berganda. Hasil penelitian uji asumsi klasik yang dilakukan melalui normalitas, multikolinieritas, heteroskedastisitas menunjukkan bahwa semua variabel yang digunakan tidak melanggar syarat yang telah ditentukan.Sedangkan hasil uji kelayakan model yang dilakukan dengan uji F, uji T dan koefisien determinasi, model regresi yang digunakan dalam penelitian ini layak digunakan. Hasil uji hipotesis menunjukkan variabel citra merek dan variabel harga, menunjukkan pengaruh positif dan signifikan terhadap keputusan pembelian. Hasil ini mengidentifikasikan bahwa keputusan pembelian makin meningkat bila terdapat peningkatan pada citra merek dan harga.
Kata Kunci : Citra Merek, Harga Dan Keputusan Pembelian
PENGARUH BEBAN KERJA DAN STRESS KERJA TERHADAP KINERJA KARYAWAN PADA PT. HONDA KUPANG INDAH KECAMATAN KELAPA LIMA KOTA KUPANG
Authors: Marlen Elisabeth , Fanggidae Ronald P C , Dhae Yosefina K I D D , Nursiani Ni Putu
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh beban kerja dan stress kerja terhadap kinerja karyawan pada PT. Honda Kupang Indah Kecamatan Kelapa Lima Kota Kupang baik secara parsial maupun secara simultan. Jenis penelitian yang digunakan ini ialah jenis penelitian  asosiatif yang bertujuan untuk mengetahui hubungan dua variabel atau lebih dan pendekatan penelitian yang digunakan adalah pendekatan kuantitatif. Teknik pengumpulan dalam penelitian ini menggunakan angket atau kuesioner, wawancara, observasi dan  studi pustaka. Sampel dalam penelitian ini diambil menggunakan teknik sampling jenuh yaitu semua populasi digunakan sebagai sampel yaitu 30 responden. Teknik analisis yang digunakan adalah analisis statistik deskriptif dan analisis inferensial yang menggunakan analisis regresi linear berganda dengan bantuan aplikasi SPSS versi 23. Uji hipotesis dilakukan dengan uji t dan uji F dimana sebelum melakukan uji ini dilakukan uji asumsi klasik. Hasil uji t menunjukan bahwa variabel beban kerja berpengaruh positif dan tidak signifikan terhadap kinerja karyawan pada PT. Honda Kupang Indah Kecamatan Kelapa Lima Kota Kupang, dan variabel stress kerja berpengaruh positif dan tidak signifikan terhadap Kinerja Karyawan pada PT. Honda Kupang Indah Kecamatan Kelapa Lima Kota Kupang. Hasil uji simultan menunjukan bahwa variabel Beban Kerja dan Stress Kerja berpengaruh secara simultan terhadap Kinerja karyawan pada PT. Honda Kupang Indah Kecamatan Kelapa Lima Kota Kupang.
Kata Kunci : Beban Kerja, Stress Kerja, dan Kinerja karyawan