bluuebunny/crossref_metadata_2025 huggingface dataset:
Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture
Authors:   University of Stuttgart, Buchfink Manuel ,   University of Stuttgart, Ahmad Faizan ,   University of Stuttgart, Yang Guangpu ,   University of Stuttgart, Alsaffar Ammar ,   University of Stuttgart, Clark Charles ,   RWTH Aachen University, Baraka Ahmed ,   University of Stuttgart, Liu Xingyu ,   University of Stuttgart, Simon Sven
Published: January 2025

Sparse-view computed tomography (CT) is appealing for inline industrial quality control because it can significantly reduce scan acquisition times compared to full-view CT of 1-2 hours to a few minutes. This allows sparse view CT to be used in inline process manufacturing for 100% inspection of every component. However, the smaller number of projections in sparse-view CT scans leads to streak artifacts, which generally cause measurement deviations during the metrological inspection of components. Therefore, this paper discusses two deep-learning-based approaches for removing such artifacts. The two methods utilize a neural representation architecture to reproduce an estimate of the scanned object and then simulate a sparse-view forward projection to generate an artifact image. This approach was initially proposed for application in medical CT imaging, but it is modified for applications in inline industrial CT concerning speed. The two methods differ in how the neural representation is optimized during training. The first method is optimized based on an image-to-image basis, and the second method is on a projection basis. Our results show that both explored methods produce good correction results that lead to a promising minimization of surface deviation on the tested objects while meeting time constraints. This makes their application in industrial inline CT feasible.
Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric
Authors:   University of Stuttgart, Ahmad Faizan ,   RWTH Aachen University, Baraka Ahmed ,   University of Stuttgart, Cardona-Marin César ,   University of Stuttgart, Kieß Steffen ,   RWTH Aachen University, Wolfschläger Dominik ,   RWTH Aachen University, Schmitt Robert H. ,   University of Stuttgart, Simon Sven
Published: January 2025

Inline computed tomography (CT) is becoming increasingly important for 100% inspection in production technology. However, the short machine cycle times—often just a few minutes—require either fewer X-ray projections or shorter detector exposure times, significantly reducing photon counts by one to two orders of magnitude compared to lab-based CT systems. This reduction leads to a decrease in the signal-to-noise ratio (SNR) by at least an order of magnitude, thereby increasing noise and diminishing the accuracy of surface measurements essential for metrology. To address this challenge, denoising methods based on neural networks have been used, outperforming traditional algorithms such as BM3D. In this work, we investigate the Noise2Noise method, which trains a neural network using pairs of noisy images, eliminating the need for clean ground truth data—typically unavailable in CT. Furthermore, we propose a fast surface quality metric based on the marching cubes algorithm and Hausdorff distance to enable realtime monitoring of voxel dataset quality during continuous CT scans, as required in inline CT. This metric demonstrates a strong correlation with measurement errors associated with surface quality degradation due to noise. Experimental results show that our proposed methods significantly enhance surface quality and SNR of full CT data volumes, achieving denoising within minutes, as required for inline CT applications.
Uncertainty quantification of CT regularized reconstruction within the Bayesian framework
Authors:   KU Leuven (Catholic University of Leuven), Khoeiniha Negin ,   KU Leuven (Catholic University of Leuven), Guerrero Patricio ,   KU Leuven (Catholic University of Leuven), Dewulf Wim
Published: January 2025

Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. Among the various reconstruction approaches that tackle different challenges in CT modeling [1], such as limitations in the data, statistical methods are known for their ability to model various properties [2, 3] of the input data and assess their impact on the reconstruction outcome [4]. These methods can also incorporate regularization techniques, which, for instance, force smoothness in the solution by penalizing heavy oscillations in pixel values. Given our interest in the uncertainty Quantification (UQ) of CT reconstruction, we employ statistical methods within the Bayesian framework for solving this inverse problem. First, we define a model for CT reconstruction and formulate a statistical framework for the problem. We then reconstruct our data using appropriate methods and quantify the uncertainty in the results. Our primary focus is on the effect of noise on the reconstruction and the corresponding uncertainty it induces. Additionally, we aim to utilize computationally feasible sampling techniques to analyze the distribution of the solution, enabling an in-depth evaluation of the results. To achieve these goals, we apply a rapid regularized Markov Chain Monte Carlo (MCMC) reconstruction method [4, 5], employing the Metropolis-Adjusted Langevin Algorithm (MALA) [6] and its Lipschitz-adaptive variant (LipMALA) [7]. This approach produces a volumetric model where each voxel is represented by a probability distribution, which can be transformed into a triplet of gray-value models: one for the central value and two for the bounds of the confidence interval. Bi-directional and uni-directional length measurements derived from these gray-value models applied to real CT data yield task-specific measurement uncertainties. This method significantly reduces computational and storage demands compared to classic Monte Carlo simulations while incorporating regularization techniques. Experimental results using aluminum cylindrical step gauge [8] data acquired with a Nikon 225 CT system validate our approach. This work provides a scalable, statistically grounded methodology for UQ in CT reconstruction, offering enhanced reliability for industrial applications.
A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging
Authors:   Fraunhofer Institute for Integrated Circuits (IIS), Florian Virginia ,   Leiden Univeristy, Shi Jiayang ,   Leiden Univeristy, Palestijn Willem Jan ,   Leiden Univeristy, Pelt Daniël M. ,   Leiden Univeristy, Batenburg K. Joost ,   Fraunhofer Institute for Integrated Circuits (IIS), Lang Thomas ,   University of Passau, Heinzl Christoph ,   Fraunhofer Institute for Integrated Circuits (IIS), Kretzer Christian ,   Fraunhofer Institute for Integrated Circuits (IIS), Kasperl Stefan ,   RWTH Aachen University, Wolfschläger Dominik ,   RWTH Aachen University, Schmitt Robert H.
Published: January 2025

X-ray computed tomography (CT) is a powerful imaging tool for defect detection, segmentation and feature extraction in industrial applications as it enables non-destructive evaluation. The presence of artifacts and noise, however, imposes difficulties on the defect detection due to low contrast between defects and material. Different methods, the most recent ones based on deep learning, have been proposed to address both CT artifacts and noise. In this work, three state-of-the-art denoising techniques, namely BM3D, a supervised UNet and Noise2Inverse are compared with a novel approach based on a set of CNNs applied at different stages of the CT data acquisition pipeline. The comparison is done regarding the capabilities of the methods in terms of image quality enhancement as a preprocessing step in CT-based data analysis before performing defect segmentation.
Pore structure characterization of porous building material by X-ray computed tomography (XCT) and X-ray microscopy (XRM)
Authors:   KU Leuven (Catholic University of Leuven), Shi Chengnan ,   KU Leuven (Catholic University of Leuven), Soete Jeroen ,   KU Leuven (Catholic University of Leuven), Janssen Hans
Published: January 2025

The pore structure of porous building materials, with pore elements ranging from nanometer to millimeter scale, often is a crucial factor that impacts the material’s functional properties. This paper extensively characterizes the pore structure of ceramic brick, a commonly applied porous building material. To address the conflict between the field of view and resolution, an image chain with eight three-dimensional greyscale image sets is acquired through X-ray computed tomography (XCT) and X-ray microscopy (XRM), with their voxel sizes progressively spanning from nanometers to micrometers. The impact of voxel size and sample size on pore structure characterization is examined quantitatively through pore network analysis. After denoising and segmenting the acquired images, the maximal ball method is applied to extract the pore network for evaluation. This paper characterizes the pore structure of ceramic brick through the construction of the image chain. Additionally, scanning the same sample with a finer voxel size naturally captures more details, and allows the pore network extraction algorithm to better preserve pore structure. On the other hand, the impact of sample size on pore network characterization for ceramic brick is negligible if the oversized sample allows sufficient X-ray transmission.
CO2 adsorption on microporous metal–organic frameworks unravelled by high-resolution X-ray computed tomography
Authors:   Lucerne University of Applied Sciences and Arts (HSLU), Karmoker Diponker ,   Lucerne University of Applied Sciences and Arts (HSLU), Martinez-Garcia Jorge ,   Lucerne University of Applied Sciences and Arts (HSLU), Gwerder Damian ,   Lucerne University of Applied Sciences and Arts (HSLU), Fumey Benjamin ,   Empa, Swiss Federal Laboratories for Materials Science and Technology, Borgschulte Andreas ,   Lucerne University of Applied Sciences and Arts (HSLU), Schuetz Philipp
Published: January 2025

The continuous increase in atmospheric carbon dioxide (CO2) concentration has triggered global warming and climate change. Strong policies and novel, cost-effective CO2 control methods have been developed to mitigate these issues over the last years. Metal-organic frameworks (MOFs) have emerged as one of the most rapidly advancing areas of research in chemistry, driven by advancements in synthesis, structure determination, interdisciplinary research, and broadening applications. MOFs porous materials demonstrate significant CO2 capture and conversion capabilities due to their tunable physical and chemical properties. Characterization of the MOF’s pore structure and its effect on CO2 adsorption are crucial to understanding the CO2 storage mechanisms and, thus, for optimal MOF design. This study uses X-ray computed tomography (XCT) to investigate non-destructively how CO2 is adsorbed on MOF’s particles. This contribution presents the characterization of the micron-scale pore structure of a single MOF particle. The collected imaging data is used to calculate the effective permeability along the MOF’s particle through numerical simulations. Findings reveal that the pore connectivity decreases with the particle penetration length, thus reducing the available surface area for adsorption. Additionally, the permeability near the particle surface is found to be 6.39 times higher than inside the particle. Potential CO2 location sites at the particle surfaces were also identified and visualized.
Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning
Authors:   Fraunhofer Institute for Integrated Circuits (IIS), Zhou Yuzhong ,   University of Erlangen-Nürnberg (FAU), Schneider Linda-Sophie ,   University of Erlangen-Nürnberg (FAU), Sun Yipeng ,   University of Erlangen-Nürnberg (FAU), Maier Andreas K.
Published: January 2025

This study addresses the challenge of applying analytical methods for Cone Beam Computed Tomography (CBCT) reconstructions along arbitrary trajectories instead of iterative methods. Traditional analytical methods like Filtered Back Projection (FBP) often fail to adequately process CBCT images due to the intricate and varied paths involved. Although iterative methods are a common solution, they require substantial computational time and resources. To address these challenges, this paper proposes two approaches, the first approach enhances the traditional FBP algorithm by using deep learning to train an optimized filter before reconstruction. The second approach improves upon the Backprojection then Filtering (BPF) algorithm by first reconstructing and then applying a deep learning-trained filter. Both methods significantly optimize the initial reconstruction results and enhance efficiency, offering promising improvements over existing iterative reconstruction techniques.
Advanced MicroCT Analysis of Lacustrine Carbonate Reservoirs for Fluid Flow Simulation
Authors:   Federal University of Rio de Janeiro (UFRJ), Araújo Olga M. O. ,   Federal University of Rio de Janeiro (UFRJ), Machado Alessandra Silveira ,   Federal University of Rio de Janeiro (UFRJ), Oliveira Davi F. ,   Federal University of Rio de Janeiro (UFRJ), Lopes Ricardo Tadeu
Published: January 2025

A better and more comprehensive understanding of the internal structure of rocks and developing quantitative methods for their characterization remain significant challenges. MicroCT is a powerful tool for visualizing the internal structure of materials, enabling 3D visualization and quantitative analysis of complex pore networks in a non-destructive manner. Lacustrine carbonate rocks, such as coquinas, are important hydrocarbon reservoirs, often found in oil fields. However, the complexity and heterogeneity of these deposits pose significant difficulties in characterizing their internal structures, making reservoir description a challenging task. Utilizing digital data is essential for fluid flow simulation studies. In this study, we perform digital rock analysis to investigate fluid flow by solving the Navier-Stokes equations in representative elementary volume (REV), applying this methodology to different regions of the sample. Furthermore, we compare the results for absolute permeability as a function of porosity and anisotropy degree.
Influence of MicroCT Resolution and Segmentation Techniques on Porosity Analysis in Carbonate Rocks
Authors:   Federal University of Rio de Janeiro (UFRJ), Araújo Olga M. O. ,   Federal University of Rio de Janeiro (UFRJ), Machado Alessandra Silveira ,   Federal University of Rio de Janeiro (UFRJ), Ferreira Cíntia ,   Federal University of Rio de Janeiro (UFRJ), Oliveira Davi F. ,   Federal University of Rio de Janeiro (UFRJ), Lopes Ricardo Tadeu
Published: January 2025

MicroCT images can be used to perform 3D visualization and quantitative analysis in a nondestructive manner. In this work, digital images were used to characterize the porosity of a carbonate rock sample. The resolution is essential due to the necessity to capture important microstructures. Lacustrine carbonate rocks form hydrocarbon accumulations, some of which are contained in oil fields and coquinas are one of the main reservoirs. The complexity and heterogeneity of these samples turn a difficult characterization and the internal structures of these deposits make them a challenge in terms of reservoir description. The use of digital data on porosity analysis is essential for rock structure characterization. To evaluate the impact of the binarization process and the effective pixel size we perform morphology analysis with different methods for segmentation on a sample of coquina with the different pixel size of 6, 10, 14 and 18μm. The results present differences for porosity compared to experimental data and shows that the resolution is important to capture the microporous and consequently the total porosity. Furthermore, was possible to calculate the pore size distribution for each effective pixel size resolution and segmentation process in coquina rock.
Automatisation developments on ESRF-EBS BM05 beamline
Authors:   European Synchrotron Radiation Facility, Léonard Fabien ,   European Synchrotron Radiation Facility, Jürries Florian ,   European Synchrotron Radiation Facility, Boller Elodie
Published: January 2025

X-ray computed tomography and radiography imaging are currently the second most exploited technique at the European Synchrotron Radiation Facility (ESRF) for commercial services. To maximise the growth, the beamlines must be flexible enough to accommodate a wide range of materials and sample sizes, whilst conserving operational efficiency and ensuring reliable and high-quality imaging outcomes. In this paper, we present some of the latest developments on the BM05 tomography beamline from the ESRF in terms of automatisation, processes, and procedures that ensure an efficient and robust operation of the beamline. For all users, the automatisation developments are focused on being able to set-up the beamline in a pre-defined state as easily and quickly as possible, so that time consuming user interventions (and potential mistakes) are minimised. For academic users, a graphical user interface (GUI) called Daiquiri tomo has been developed as a simple tool for non-experts to be able to perform most of their scanning operations in a user-friendly and efficient fashion, with minimum support from beamline scientists. For commercial users, a robotic sample changer has been assembled to be able to scan series of up to 45 samples, and maximise usage of night shifts. Overall, those improvements are key in reaching operational excellence and X-ray computed tomography and radiography imaging are projected to rival macromolecular crystallography (MX) as the first technique for commercial services at ESRF by the end of 2025.
Accelerated CT Sub-pixel Super Resolution
Authors:   North Star Imaging, Inc. (NSI), Determan Lucas ,   North Star Imaging, Inc. (NSI), Busche Kirk ,   North Star Imaging, Inc. (NSI), Bhattad Pradeep
Published: January 2025

The resolution of standard CT scans is dictated by the physical constraints of the detector’s sampling resolution. Super resolution is a class of techniques used to improve the reconstruction resolution beyond the physical limitations of the detector, via pure computational methods or with novel trajectories to acquire additional data. This work characterizes an improved accelerated super resolution technique that builds upon an existing method, SubpiX, and acquires projections along a trajectory of sub-pixel detector translations. The sub-pixel shifts introduce sampling across the spatial domain of each pixel, allowing the resulting images to be combined and upsampled to a higher resolution projection for reconstruction. This technique is shown to be flexible, allowing for different amounts of additional data to improve reconstruction quality at the cost of increased acquisition length. This paper compares the super resolution results using various amounts of additional acquired data.
RadalyX: Portable Multimodal Robotic Scanner
Authors:   Radalytica a.s., Uher Josef ,   Radalytica a.s., Boháčová Jana ,   Radalytica a.s., Kadeřábek Richard ,   Radalytica a.s., Veselý Jakub
Published: January 2025

Robotic Computed Tomography (CT) is proving itself to be a powerful addition to the portfolio of inspection methods [1]. Robots allow for the upscaling of CT measurements on large objects, and the flexibility of robots enables a wide range of scanning trajectories. Our scanner design and geometry calibration processes further make the system fully portable [2]. In other words, the object does not have to “go to the CT machine”; instead, the CT machine “can go to the object.” Advanced inspection of regions of interest is therefore possible. This approach is particularly useful in aerospace and space applications, where the demand for advanced non-destructive inspection is at its highest. The portability of the scanner further expands the range of object sizes that can be inspected. As scanning is less limited by the reach of robotic arms, smaller, more precise robots can be used. In this paper, we will present recent advances in scanning strategies and the results these approaches bring in different situations. Examples not only from aerospace but also from other fields are shown. As a general note, all the 2D/3D X-ray images presented throughout this paper are measured exclusively by the robotic scanner RadalyX.
ВЛИЯНИЕ ГЕРПЕСВИРУСОВ НА ОРГАНИЗМ ЧЕЛОВЕКА
Authors: Ершова С.П. , Каспер В.С.
Published: January 2025

в данной статье автор хотел показать что причина одного из хронического воспаления в желудочно-кишечном тракте является переход из латентной в активную форму вирусов герпеса и его размножение в органах ЖКТ. Наибольшую роль в этих процессах играют следующие герпесвирусы: лимфокриптовирус, цитомегаловирус, розеоловирусы, радиновирус. Своевременная диагностика и соответствующая коррекция позволяет остановить нарастающий воспалительный процесс, а также предотвратить серьезные патологии всего организма, возникающие на фоне нарушения работы желудочно- кишечного тракта. Назначение противовирусных препаратов, заместительных ферментов (диаминоксидаза, пролил-эндопептидаза), коррекция питания для снижения нагрузки на ЖКТ (употребление легко перевариваемой пищи, правильное соотношение белков-жиров-углеводов, сбалансированность питания по микроэлементам, витаминам и минералам), снижение потребления плохо перевариваемых белков, коррекция анемий и недостатка БАВ, а также прием пробиотиков для коррекции дисбаланса микрофлоры ЖКТ, позволит стабилизировать организм и остановить воспалительный процесс.
УРОВЕНЬ ПРОФЕССИОНАЛЬНОГО ВЫГОРАНИЯ В ДЕЯТЕЛЬНОСТИ МАСТЕРОВ СФЕРЫ КРАСОТЫ
Authors: Боброва А.Л.
Published: January 2025

Исследование посвящено профессиональному выгоранию в деятельности мастеров сферы красоты. Предлагается ознакомиться с исходным уровнем профессионального выгорания в деятельности мастеров сферы красоты. По результатам исследования было выявлено, у мастеров сферы красоты в большей степени выражен симптом переживания психотравмирующей ситуации, для них характерен симптом неадекватного эмоционального реагирования и преобладание симптома эмоционально-нравственной дезориентации.
Development of a Web-Based Independent Curriculum Learning Assessment Application System for Raudhatul Athfal Teachers
Authors: Bakir Widya Fitriani , Sukiman
Published: January 2025

This study designs a web-based application model that is able to support the Merdeka Curriculum assessment effectively and efficiently and has obtained justification from experts and been tested on a limited scale. The method used is research and development (R&D) with the Borg and Gall model, which focuses on developing the Merdeka Curriculum learning assessment application for RA teachers. This research reached the preliminary field test stage to produce an application prototype, which still requires repeated testing on a wider scale. The results of validation by material experts show that this application is very feasible for use by RA teachers, with scores of 93.3% and 90%, respectively. Validation by media experts resulted in a score of 83.3%, indicating that the app is in the feasible category but requires some improvements. The field test showed that this application is very functional and easy to use by teachers for assessment management, with a user score of 95%. Based on these results, this study successfully developed and evaluated a web-based Merdeka Curriculum assessment application that is effective and in accordance with the needs of teachers in Raudhatul Athfal.
Akulaku E-Commerce Company's Public Relations Marketing Strategy in Building Brand Awareness
Authors:   LSPR Communication & Business Institute. Jl. K.H. Mas Mansyur No. Kav. 35, RT.12/RW.11, Karet Tengsin, Kecamatan Tanah Abang, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10220., Monica Deviana , Akba Fallah ,   LSPR Communication & Business Institute. Jl. K.H. Mas Mansyur No. Kav. 35, RT.12/RW.11, Karet Tengsin, Kecamatan Tanah Abang, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10220.
Published: January 2025

This research aims to analyze the marketing public relations strategy of Akulaku E-Commerce Government in raising brand awareness. The purpose of this research is to find out and understand the marketing public relations strategy of Akulaku , including its obstacles and corresponding possible solutions that could be implemented by Akulaku by using theory of public relations strategy, and brand awareness. Thus, the research method used was a qualitative approach which consisted of data contents collected through in depth interview. In-depth interviews were obtained from internal informants which are the member of the Business Development division. The results of the research revealed that there is a successful marketing public relations strategy by Akulaku to build brand awareness to the publics. However, on the other hand, there are also obstacles and some public relations strategies that have not been implemented by Akulaku to raise brand awareness. Therefore, Akulaku is expected to utilize all existing public relations strategies at their disposal, as well as to improve their promotion and incessantly implement more online methods in order to increase brand awareness and maintain their status as a platform that is believed to be one of the main virtual credit e- commerce applications.
Implementation of Environmental Management Accounting and Good Corporate Governance on Value Chain and its Implications on Financial Performance
Authors:   IAIN Sultan Amai Gorontalo, Bakri Bakri , Mahfiza Mahfiza ,   IAIN Sultan Amai Gorontalo
Published: January 2025

The purpose of this study was to determine the effect of environmental management accounting implementation on value chain, good corporate governance on value chain, valua chain on financial performance, environmental management accounting implementation on financial performance, good corporate governance on financial performance, environmental management accounting implementation on financial performance moderated by value chain and good corporate governance on financial performance moderated by value chain. The method used in this research is quantitative, where data and analysis are based on numbers which are then calculated statistically. The pupulation in this study is a BUMN company incorporated as a Limited Liability Company (PT). The population of SOEs incorporated as Limited Liability Companies (PT) in the Sulawesi region amounted to 83 companies. The sampling technique used is random sampling by taking samples with members of the population randomly without regard to the strata in the population. The influence between variables is formulated in this study using the SEM model, the inferential statistical method used in the analysis of this research data is the Partial Least Square (PLS) program, which is a powerful statistical tool that does not assume the data must be with a certain scale measurement or not based on various assumptions. The results prove that the application of the principles of Good Corporate Governance affects the Value Chain but with a small amount. The application of Environmental Management Accounting affects the Value Chain by a significant amount, the application of the principles of Good Corporate Governance affects Financial Performance but by a small amount. The application of Environmental Management Accounting has an effect on Financial Performance but with a small amount. The application of Value Chain has an effect on Financial Performance but with a small amount.
Strategi Badan Amil Zakat Desa Dalam Meningkatkan Kesadaran Masyarakat Untuk Membayar Zakat Mal (Studi Kasus Bazdes Mampun Baru)
Authors: Sawitri Kurniasih  , Arsa Arsa  , Ferri Saputra Tanjung
Published: January 2025

Zakat is an obligation that must be carried out by every Muslim for his property and objects with the rules that have been determined in Islamic law. Mapun Baru Village has a large potential for zakat mal, therefore in order to maximize its potential it requires good management and a good strategy to increase public awareness in carrying out zakat mal payments. The purpose of this study was to find out 1) the strategy carried out by BAZDES in raising public awareness to pay zakat mal, 2) find out the causes of reduced public awareness to pay zakat mal. The research method used by researchers is qualitative. The type of data used by researchers is primary data and secondary data. With this research method, researchers see the object of research directly by conducting field observations and conducting interviews with BAZDES administrators, people who pay zakat, people who pay zakat directly to mustahik, and people who do not pay zakat mal. Furthermore, secondary data such as data, journals, and books related to research. The results of this study were 1) strategies implemented by BAZDES management in the form of socialization, cults after congregational prayers and after yasinan, and working with preachers when giving lectures. 2) the cause of the low public awareness to pay zakat is in the form of knowledge of people's understanding that is still minimal about the scope of zakat mal.
Penguatan Entrepreneurial Intention Pada Mahasiswa Berdasarkan Theory Of Planned Behavior
Authors: Ratih Indriyani  , Elsa Christina
Published: January 2025

This study aims to determine the effect of subjectives norms, attitudes in entrepreneurship and perceived behavioral control on entrepreneurial intention among management students in Surabaya. The research was conducted by distributing questionnaires. The responses obtained were 222 data using judgmental sampling techniques which were processed using the PLS research model. The results showed that all of the proposed research hypotheses were accepted. There is an influence of subjective norms on attitudes, perceived behavioral control and entrepreneurial intention. In this study, it was also found that attitudes and perceived behavioral control had an effect on entrepreneurial intention. In addition, this study found the mediating effect of attitude and perceived behavioral control
Digitalisasi Dalam Pemasaran Produk UMKM Pasar Wisata Harmoni Keputih Surabaya
Authors: Errina Eka Yahyaningtyas  , Jojok Dwiridotjahjono
Published: January 2025

Kuliah Kerja Nyata (KKN) Universitas Pembangunan Nasional “Veteran” Jawa Timur is an activity that is expected to be a learning tool for students to become a forum for students to actively contribute to nation building in the field of UMKM development. The main potential of UMKM in the Keputih Village is a strategic area, because of tourism and also being close to universities, making it the target market for marketing UMKM in Keputih. But there are obstacles in the process of developing and selling its products. There are culinary centers in the Keputih Village that have problems that have not implemented digital marketing, UMKM actors are still implementing conventional marketing. Based on the results of observations and observations made using the survey method, and interviews that have been carried out with the Keputih Village and UMKM actors, the main obstacle for UMKM actors is marketing. From this problem, students plan strategies to help UMKM players to capitalize on product marketing to develop UMKM businesses. As a result of this service activity, UMKM products have developed and the marketing aspects through digital are going well.
Analisis Kinerja Database Dalam Sistem E-Commerce
Authors: Dea Cindi Amelia  , Ginting Ginting  , Muhammad Irwan Padli Nasution
Published: January 2025

E-commerce or electronic commerce is growing rapidly with advances in technology. The database is one of the main components in the E-commerce system which functions to store transaction data and customer information. Therefore, analysis of database performance on E-commerce systems is very important to ensure data availability and reliability. This study is intended to analyze database performance on E-commerce systems. The method used is a literature study conducted to gain a better understanding of the basic concepts and theories related to E-commerce systems and databases. Then perform database performance analysis using several parameters, such as response time, throughput, and resource usage. The results of the study show that database performance on E-commerce systems is still adequate, but there are still some problems that need to be fixed, such as increasing response times and using resources more efficiently. Therefore, continuous improvement is needed so that database performance on the E-commerce system is optimized so that it can provide a better shopping experience for users and increase profits for business owners.
Analisis Pengaruh Kualitas Produk Dan Brand Image Terhadap Keputusan Pembelian Minuman Kekinian Haus Di Kabupaten Karawang
Authors: Supyan Assauri  , Budi Kramadibrata
Published: January 2025

This study investigates the influence of product quality and brand image on consumer interest. The data used are the results of statistical analysis, using the significance value (p-value) as a measure to assess the significance of the effects of these variables. The findings show that product quality has a significant impact on consumer interest. The study also reveals that brand image has a significant effect on consumer interest, with a p-value lower than the predetermined significance level. From these analyses, it can be concluded that changes in product quality can significantly influence consumer interest. Additionally, a positive brand image can enhance consumer interest in a product or brand. However, the study acknowledges several limitations, such as the partial nature of the findings and the lack of implying a cause-and-effect relationship between the examined variables.
PENGARUH WORK-LIFE BALANCE, KEPUASAN GAJI, DAN LINGKUNGAN KERJA TERHADAP TURNOVER INTENTION (Studi Kasus Pada Karyawan Generasi Milenial di Pati)
Authors: Rindi Alvia Ningrum  , Rauly Sijabat  , Fadjar  Dharmaputra
Published: January 2025

The purpose of this study is to find out whether work-life balance, salary satisfaction and work environment affect turnover intention in the millennial generation in Pati. The research method used is quantitative research with a descriptive approach conducted on millennial employees in Pati. The total population is all millennial generation employees in Pati. The sampling technique in this study was a non-probability sampling technique. The type used was purposive sampling. The data were obtained from respondents through the Google form. The data collection method was carried out by distributing questionnaires with the Google form according to an interval scale of 1 – 5, and then tabulated using statistical analysis with the SPSS computer program. The results of testing the effect of the work-life balance variable on turnover intention have a positive and significant effect. There is no positive and significant effect of salary satisfaction on tunover intention. The influence of work environment variables on tunrover intention has a positive and significant effect. The effect of the positive work-life balance variable on Turnover Intention is (4.952), while for the negative effect of salary satisfaction the t value is (-1.806). While the effect of positive work environment variables on Turnover Intention is (2.264).
Analisis Perkembangan Standar Pelayanan Fasilitas Di Terminal Bandar Tjilik Riwut Palangkaraya
Authors: Alfirani Dwi Putri
Published: January 2025

Airport quality is very important for consumers who use airport services. Tjilik Riwut Airport serves both pioneer and domestic flights. Terminal Inspection Service is a unit that pays attention to the safety, comfort, smoothness and safety of passengers. The main task of the Terminal Inspection Service is to supervise and observe facilities that support operations. By using qualitative research methods, and supported by data analysis techniques, data reduction, data display, and conclusions in order to obtain valid and objective results. Analysis of the development of facility service standards at the Tjilik Riwut Palangkaraya Airport terminal, one of the facilities at Tjilik Riwut Airport, namely the Lift Facilities which are marked with the reason they cannot be used so that passengers who experience late show up cannot use these facilities to the fullest in certain circumstances. Other facilities that cannot be used are ATM Center facilities, which are decreasing in number, the Terminal Inspection Service is optimizing the development of service users at Tjilik Riwut Airport, Palangkaraya.
Pengaruh Budaya Organisasi Terhadap Employee Engagement, Kinerja Dan Loyalitas Pegawai Pada Generasi Milenial PT Tirta Sukses Perkasa, Departement Packaging
Authors: Moch Adji Santoso  , Nuraeni Nuraeni  , Khoirul Huda
Published: January 2025

The purpose of this study was to find out and measure the effect of organizational culture on employee engagement, performance and employee loyalty in the millennial generation (PT Tirta Sukses Perkasa, Packaging Department). The selection of the research sample used a saturated sample technique of 100 respondents, and was obtained at PT Tirta Sukses Perkasa, Packaging Department. For statistical tests and data processing is done using Partial Least Square (SmartPLS 4). The results showed (1) Organizational Culture has a significant positive effect on employee engagement. (2) Organizational Culture has a significant positive effect on employee performance. (3) Organizational Culture has a significant positive effect on employee loyalty. (4) Employee Engagement has a significant positive effect on employee loyalty. (5) Employee performance has a significant positive effect on employee loyalty.
Peran Pemimpin Dan Komunikasi Interpersonal Dalam Penerapan Aplikasi Simponi ASN Di Dinas Perhubungan Provinsi Sulawesi Tenggara
Authors: Asriyati Asriyati  , Maudhy Satyadharma
Published: January 2025

The Research was conducted at the Department of Transportation of Southeast Sulawesi Provincial to analyze the role of leaders and interpersonal communication in supporting the successful implementation of the Simponi ASN Application. The approach used in this research is a qualitative descriptive approach. The data collection techniques used in this research were interviews, observation and documentation studies. The informant selection technique used was purposive sampling. The data analysis technique used an interactive analysis model consisting of data collection, data reduction, data presentation and drawing conclusions. The research results found that success in implementing the ASN Simponi Application within the Department of Transportation of Southeast Sulawesi Provincial was supported by leadership factors and effective interpersonal communication.
Pengaruh persepsi profesi guru dan lingkungan keluarga terhadap minat menjadi guru mahasiswa Pendidikan Administrasi Perkantoran
Authors: Nur Mahalani  , Cicillia Dyah Sulistyaningrum Indrawati  , Subroto Rapih
Published: January 2025

This study aims to investigate: 1) the effect of perceptions of the teaching profession on interest in becoming a teacher; 2) the effect of family environment on interest in becoming a teacher; and 3) the effect of perceptions of the teaching profession and family environment on interest in becoming a teacher of PAP students. This research is a quantitative study with a survey method with a population of 241 PAP students class of 2019-2021. The sampling technique used proportionate stratified random sampling with a sample of 150 students. The results showed that: 1) there is a positive and significant effect of the perception of the teaching profession on interest in becoming a teacher. This is evidenced by tcount> ttable (1.997>1.976) at a significance level of 5%; 2) there is a positive and significant influence of the family environment on interest in becoming a teacher. This is evidenced by tcount> ttable (14.647> 1.976) at the 5% significance level; and 3) there is a positive and significant influence of the perception of the teaching profession and the family environment on the interest in becoming a teacher of PAP students. This is evidenced by Fcount> Ftable (111.785> 3.06) at the 5% significance level.
Analisis Kinerja Anggaran Desa Pada Lembang Rantebua Kecamatan Sanggalangi Kabupaten Toraja Utara
Authors: Fitri Banne  , Dwibin Kannapadang  , Ade Lisa Matasik
Published: January 2025

This research is a qualitative research. This research discusses the analysis of Village Budget Performance in Lembang Rantebua, Sanggalangi District, North Toraja Regency. The aim of this research is to find out how well the village fund budget is performing in Lembang Rantebua, Sanggalangi District, North Toraja Regency. The data collection techniques used were interviews and documentation. The data analysis technique used is the effectiveness ratio and efficiency ratio. Based on the results of the analysis, it is stated that the Financial Performance of Lembang Rantebua, Sanggalangi' District, North Toraja Regency, when viewed from the effectiveness ratio, is categorized as effective, because the average effectiveness from 2019-2022 is 95.31% and the Financial Performance of Lembang Rantebua, Sanggalangi District, North Toraja Regency if Judging from the efficiency ratio, it is categorized as less efficient, because the average efficiency from 2019-2022 is 88.65%.
Pengaruh Kemandirian Dan Orientasi Masa Depan Terhadap Motivasi Berprestasi Siswa Di SMK Negeri 1 Surakarta
Authors: Hizkia Greeny Delpbel Oktobrian  , Cicilia Dyah Sulistyaningrum Indrawati  , Susantiningrum Susantiningrum
Published: January 2025

This research aims to (1) find out whether there is an influence of independence on students' achievement motivation; (2) find out whether there is an influence of future orientation on achievement motivation; (3) find out whether there is an influence of independence and future orientation on achievement motivation. The research uses a quantitative approach with descriptive correlational methods.. The population in this study were all students in class XII Office Management Automation, totaling 87 students, spread across 44 students in class A and 43 students in class B. Determining the sample size in this study used the Slovin formula with a sample size of 71 students. The research sample was taken using a proportional probability sampling technique with a proportion of class A totaling 36 students and class B totaling 35 students. The primary data collection technique in this research comes from answers to questionnaires. This questionnaire method is arranged according to a Likert scale with positive to negative gradations. Secondary data collection techniques in this research come from data sources that are not directly collected by researchers through libraries, documentation, books, scientific journals, written archives relating to the object under study. The data analysis technique uses the help of the IBM SPSS version 26 program. The research results show that (1) there is a significant positive influence of the independence variable on achievement motivation. This is proven by the significance value of 0.046 < 0.05 and the value of tcount > ttable (2.028 > 1.995); (2) there is a significant positive influence of the future orientation variable on achievement motivation. This is proven by the significance value of 0.002 < 0.05 and the value of tcount > ttable (3204 > 1.995); (3) there is a significant positive influence of the independence variable on achievement motivation. This is proven by the F test with a significance of 0.007 < 0.05 and a value of fcount > ftable (5.376 > 3.13). Based on the research results, it shows that the variables of independence and future orientation separately or jointly influence the achievement motivation variable..
Pengaruh Motivasi Dan Disiplin Terhadap Kinerja Pegawai Pada Kantor Dinas Sosial Provinsi Banten
Authors: Lisa Agustina  , Yulis Tiawati
Published: January 2025

Motivation and work discipline play an important role in improving employee performenace, so in this case to get employee performance in line with what expected, the organization has the task of providing encouragement to employees, so that employees work diligently so as to achieve organizational goals, especially the office of social service of Banten Province. Based on the background of the problems described above, the formulation of the problem in this research is: 1). Is there an effect of motivation on employee performance at the Office of the Social Service of Banten Province, 2). Is there an effect of discipline on employee performance at the Office of Social Service of Banten Province, and 3). Is there an influence of motivation and discipline together?. The type of research used in this study is quantitative research, namely research that analyzes data using causal statistical figures, namely by using statistical formulas to help analyze data and facts obtained in make an accurate estimate of the characteristics of the entire population so that it is possible to achieve a description of each variable and the influence between variables at the Provincial Office of Social Affairs. This means that the variables of motivation and work discipline jointly (simultaneously) have a positive and significant influence on employee performance. Based on the statistical test results it can be seen clearly that partially all independent variables have an effect on the dependent variable. The influence of the two independent variables is positive, meaning that the better the motivation and work discipline, the better the employee performance will be. These results are in accordance with the proposed hypothesis. With the conclusion that motivation and discipline affect employee performance.
Analisis Komitmen Kerja Pegawai di Badan Pusat Statistika Karawang
Authors: Melly Maryana  , Uus Md Fadli
Published: January 2025

The Karawang Central Statistics Agency (BPS) is a government agency that has a strategic role in providing accurate and reliable statistical data and information. To be able to carry out this function properly, BPS Karawang needs employees who have a high work commitment. However, based on preliminary data, there are indications that the work commitment of employees at BPS Karawang has not been optimal. This study aims to analyze the work commitment of employees at the Karawang Central Statistics Agency (BPS Karawang) and the factors that affect organizational performance. The results of the study show that affective and normative commitment have a significant effect on employee performance, while continuous commitment has no significant effect. Affective commitment refers to an employee's emotionality, identification, and engagement with the organization, which influences their behavior toward the tasks they receive. Normative commitment, on the other hand, relates to the employee's feelings towards the tasks assigned to the organization and the organization's values are the same as the employee's personal values. This study uses a qualitative method and involves interviews with 5 respondents, including a head of agency and 4 employees. Data analysis was carried out using thematic analysis and narrative analysis. The results of this study are expected to be the basis for BPS Karawang in developing strategies and policies to increase employee work commitment, so that it can support the achievement of organizational goals optimally.