bluuebunny/crossref_metadata_2025 huggingface dataset:
Log2Graph: A graph convolution neural network based method for insider threat detection
Authors: Fei Kexiong , Zhou Jiang , Su Lin , Wang Weiping , Chen Yong
Published: April 2024

With the advancement of network security equipment, insider threats gradually replace external threats and become a critical contributing factor for cluster security threats. When detecting and combating insider threats, existing methods often concentrate on users’ behavior and analyze logs recording their operations in an information system. Traditional sequence-based method considers temporal relationships for user actions, but cannot represent complex logical relationships well between various entities and different behaviors. Current machine learning-based approaches, such as graph-based methods, can establish connections among log entries but have limitations in terms of complexity and identifying malicious behavior of user’s inherent intention. In this paper, we propose Log2Graph, a novel insider threat detection method based on graph convolution neural network. To achieve efficient anomaly detection, Log2Graph first retrieves logs and corresponding features from log files through feature extraction. Specifically, we use an auxiliary feature of anomaly index to describe the relationship between entities, such as users and hosts, instead of establishing complex connections between them. Second, these logs and features are augmented through a combination of oversampling and downsampling, to prepare for the next-stage supervised learning process. Third, we use three elaborated rules to construct the graph of each user by connecting the logs according to chronological and logical relationships. At last, the dedicated built graph convolution neural network is used to detect insider threats. Our validation and extensive evaluation results confirm that Log2Graph can greatly improve the performance of insider threat detection compared to existing state-of-the-art methods.
KasNAT: Non-autoregressive machine translation for Kashmiri to English using knowledge distillation
Authors: Sheshadri Shailashree K. , Gupta Deepa
Published: April 2024

Non-Autoregressive Machine Translation (NAT) represents a groundbreaking advancement in Machine Translation, enabling the simultaneous prediction of output tokens and significantly boosting translation speeds compared to traditional auto-regressive (AR) models. Recent NAT models have adeptly balanced translation quality and speed, surpassing their AR counterparts. The widely employed Knowledge Distillation (KD) technique in NAT involves generating training data from pre-trained AR models, enhancing NAT model performance. While KD has consistently proven its empirical effectiveness and substantial accuracy gains in NAT models, its potential within Indic languages has yet to be explored. This study pioneers the evaluation of NAT model performance for Indic languages, focusing mainly on Kashmiri to English translation. Our exploration encompasses varying encoder and decoder layers and fine-tuning hyper-parameters, shedding light on the vital role KD plays in facilitating NAT models to capture variations in output data effectively. Our NAT models, enhanced with KD, exhibit sacreBLEU scores ranging from 16.20 to 22.20. The Insertion Transformer reaches a SacreBLEU of 22.93, approaching AR model performance.
Detecting early warning signs of employee attrition using machine learning algorithms
Authors: Borse Rushikesh , Das Rochishnu , Dash Devasish , Yadav Akshay
Published: April 2024

In the wake of the contemporary competitive business landscape, the retention of employees has become one of the most important yet difficult tasks for any corporate. Retaining top-performing employees not only improves organizational performance but also reduces recruitment costs. In this study, the authors investigate the major drivers leading to employee attrition and using machine learning algorithms implemented on a well proven and validated IBM HR data set. Although the data set tags the samples for a target variable (attrited and non-attrited), the work presented in this paper comes up with another labelling (1. likely to leave, 2. On the verge of leaving, 3. will stay). The data set is evaluated over top 10 Machine learning algorithms and a competitive analysis is made between them based on various factors. The best model has shown a prediction accuracy of over 85% +. Managers are provided with insights and recommendations at the end that will help companies to proactively identify at-risk employees and implement effective retention strategies.
Edge computing solutions to support computation offloading for IoT applications
Authors: Ezhilarasie R. , MohanRaj I. , Ramakrishnan Thiruvikram Gopichettipalayam , Madhavan Vyas , Narayan Keshav , Umamakeswari A.
Published: April 2024

Internet of Things (IoT) devices are major stakeholders of contemporary network bandwidth. The proliferation of IoT devices and the demand for latency-free communication in time-critical applications has proven the drawback of cloud-based solutions. Edge computing is an paradigm that reduces the application’s response time by utilizing computation and storage proximate to each devices. Privacy in cloud computing is attained by system virtualization, containerization, among other evolved technologies. As privacy remains a primary concern, there is a need to test the feasibility of resource-constrained edge devices. Hence, this work aimed to examine the usability of such devices in edge computing by benchmarking on different runtime environments. The results reveal that a standard mechanism was achieved for defining the criteria to identify the suitable edge devices for computation offloading, particularly for a set of smart traffic surveillance use cases. Further, an optimization algorithm was designed to generate an optimum schedule that decides the best device to execute a particular task from the set of suitable edge devices to enhance energy and execution time in a global view. Based on the feasibility study and optimal schedule, a makespan that is nearly 11 times better than local execution for the considered traffic surveillance workflow was achieved.
BOTSH: Towards aligning semantic web of things with building ontologies
Authors: Muppavarapu Vamsee , Ramesh Gowtham
Published: April 2024

The W3C linked building data group is working on modeling the information for integrating building information with building life cycle data using Semantic Web technologies. The community has proposed a set of semantic models such as ifcOWL and Building Topology Ontology (BOT), to model various applications across Architecture, Engineering, Construction, and Operation (AECO) domain. On the other hand, the Semantic Web of Things (SWoT) group proposed standard semantic models such as M3-lite and BOSH ontologies for describing the sensor networks, observations, and sensor measurements. Both the aforementioned domains have their own siloed applications and with the evolution of the smart home domain, there is a need to combine the knowledge of building information with the sensor knowledge to develop cross-domain applications. However, in order to develop such downstream applications leveraging advantages from both domains requires interoperable knowledge. This paper proposes an interoperable ontology, Building Topology Ontology for Smart Homes (BOTSH), with the aim of aligning the building domain with sensors domain semantic models. The BOTSH ontology facilitates capturing knowledge from both domains and helps in developing cross-domain applications. The potential of the proposed model was demonstrated using a real-life building model based on the competency questions framed by the domain experts.
A route network resource allocation method based on multi-objective optimization and improved genetic algorithm
Authors: Tian Wen , Zhang Yining , Fang Qin , Liu Weidong
Published: April 2024

In order to solve the problem of imbalance between traffic demand and airspace capacity of high-altitude air route network, reduce unnecessary delay costs, and improve air route operation efficiency, the resource allocation problem of multi-objective air route network for CTOP program is studied. Taking the affected flights in the congested area of air routes as the research object, taking into account the constraints of actual flight operation, FCA time slot resource availability limit, FCA capacity limit, etc., aiming at minimizing the total delay time of each flight and maximizing the fairness of airlines, a multi-objective optimization model for air route network resource allocation is established, and an improved NSGA-II algorithm is designed to solve the model. Based on the actual operation data of air routes in East China, the Pareto optimal solution set is obtained and compared with the traditional RBS algorithm, the average delay time is reduced by 5.49% and the average fair loss degree is reduced by 66.76%. The results show that the proposed multi-objective optimization model and the improved NSGA-II algorithm have better performance, which can take into account the fairness of each airline on the basis of reducing the total delay cost, realize the allocation of optimal flight trajectories and time slot resources, and provide a reference scheme for air traffic control resource scheduling.
Investigation on position and attitude estimation and control of manipulator based on machine vision
Authors: Li Xin , Hao Miao , Ru Changhai , Wang Yong , Zhu Junhui
Published: April 2024

With the development of science and technology, people have higher and higher requirements for robots. The application of robots in industrial production is also increasing, and there are more applications in people’s lives. Therefore, robots must have a better ability to receive and process the external environment. Therefore, visual servo system appears. Pose estimation is a major problem in the current vision system. It has great application value in positioning and navigation, target tracking and recognition, virtual reality and motion estimation. Therefore, this paper put forward the research of robot arm pose estimation and control based on machine vision. This paper first analyzed the technology of machine vision, and then carried out experiments. The accuracy and stability of the two methods for robot arm pose estimation were compared. The experimental results showed that when the noise of Kalman’s centralized data fusion method was 1 pixel, the maximum error of the X-axis angle was only 0.55, and the average error was 0.02. In Kalman’s distributed data fusion method, the average error of X-axis displacement was 0.06, and the maximum value was 17.66. In terms of accuracy, Kalman’s centralized data fusion method was better. In terms of stability, Kalman’s centralized data fusion method was also better. However, in general, these two methods had very good results, and could accurately control the position and posture of the manipulator.
HighNESS conceptual design report: Volume II. The NNBAR experiment.
Authors: Santoro V. , Abou El Kheir O. , Acharya D. , Akhyani M. , Andersen K.H. , Barrow J. , Bentley P. , Bernasconi M. , Bertelsen M. , Beßler Y. , Bianchi A. , Brooijmans G. , Broussard L. , Brys T. , Busi M. , Campi D. , Chambon A. , Chen J. , Czamler V. , Deen P. , DiJulio D.D. , Dian E. , Draskovits L. , Dunne K. , El Barbari M. , Ferreira M.J. , Fierlinger P. , Fröst V.T. , Folsom B.T. , Friman-Gayer U. , Gaye A. , Gorini G. , Gustafsson A. , Gutberlet T. , Happe C. , Han X. , Hartl M. , Holl M. , Jackson A. , Kemp E. , Kamyshkov Y. , Kittelmann T. , Klinkby E.B. , Kolevatov R. , Laporte S.I. , Lauritzen B. , Lejon W. , Linander R. , Lindroos M. , Marko M. , Márquez Damián J.I. , McClanahan T.C. , Meirose B. , Mezei F. , Michel K. , Milstead D. , Muhrer G. , Nepomuceno A. , Neshvizhevsky V. , Nilsson T. , Odén U. , Plivelic T. , Ramic K. , Rataj B. , Remec I. , Rizzi N. , Rogers J. , Rosenthal E. , Rosta L. , Rücker U. , Samothrakitis S. , Schreyer A. , Selknaes J.R. , Shuai H. , Silverstein S. , Snow W.M. , Strobl M. , Strothmann M. , Takibayev A. , Wagner R. , Willendrup P. , Xu S. , Yiu S.C. , Yngwe L. , Young A.R. , Wolke M. , Zakalek P. , Zavorka L. , Zanini L. , Zimmer O.
Published: April 2024

A key aim of the HighNESS project for the European Spallation Source is to enable cutting-edge particle physics experiments. This volume presents a conceptual design report for the NNBAR experiment. NNBAR would exploit a new cold lower moderator to make the first search in over thirty years for free neutrons converting to anti-neutrons. The observation of such a baryon-number-violating signature would be of fundamental significance and tackle open questions in modern physics, including the origin of the matter-antimatter asymmetry. This report shows the design of the beamline, supermirror focusing system, magnetic and radiation shielding, and anti-neutron detector necessary for the experiment. A range of simulation programs are employed to quantify the performance of the experiment and show how background can be suppressed. For a search with full background suppression, a sensitivity improvement of three orders of magnitude is expected, as compared with the previous search. Civil engineering studies for the NNBAR beamline are also shown, as is a costing model for the experiment.
Novel stability approach using Routh-Hurwitz criterion for brain computer interface applications
Authors: Heo Sung-Phil , Choi Hojong , Yang Yeon-Mo
Published: April 2024

BACKGROUND: The stability criterion approach is very important for estimating precise behavior before or after fabricating brain computer interface system applications. OBJECTIVE: A novel approach using the Routh-Hurwitz standard criterion method is proposed to easily determine and analyze the stability of brain computer interface system applications. Using this developed approach, we were able to easily test the stability of technical issue using simple programmed codes before or after brain computer interfaces fabrication applications. METHODS: Using a MATLAB simulation program package, we are able to provide two different special case examples such as a first zero element and a row of zeros to verify the capability of our proposed Routh-Hurwitz method. RESULTS: The MATLAB simulation program provided efficient Routh-Hurwitz standard criterion results by differentiating the highest coefficients of the s and a. CONCLUSION: This technical paper explains how to use our proposed new Routh-Hurwitz standard condition to simply ascertain and determine the brain computer interface system stability without customized commercial simulation tools.
The effectiveness of a 6-month intervention with sit-stand workstation in office workers: Results from the SUFHA cluster randomized controlled trial
Authors: Júdice Pedro B. , Silva Hélio , Teno Sabrina C. , Hetherington-Rauth Megan
Published: April 2024

BACKGROUND: Prolonged periods of sitting have been linked to negative health outcomes. Implementation of sit-stand desks in the workplace has been one strategy to reduce prolonged sitting. OBJECTIVE: To assess the effectiveness of sit-stand workstations on reducing sitting time and improving other health outcomes of office-based workers. METHODS: 39 Portuguese office workers were randomized into a 6-month parallel-group cluster RCT consisting by the implementation of sit-stand desks in the workplace. The primary outcome of sitting time was assessed using ActivPAL. Secondary outcomes included biometric, psychological, and diet-related variables. All outcomes were assessed at baseline and 6 months for the whole sample and at 3 months for a sub-sample of the intervention group (n = 11). RESULTS: No significant time*group interaction was found for the primary or secondary outcomes, apart from waist circumference favoring the control group (Δ–1.81 cm, pinteraction = 0.04). There were significant changes within the intervention group for sitting time (–44.0 min/day), prolonged sitting (>30 min) (–45.3 min/day) and standing time (51.7 min/day) at 3 months in the sub-sample and in prolonged sitting (>30 min) (–26 min/day) in the full intervention group (p < 0.05). Changes were also observed within the intervention group for percent body fat (Δ–3.7%) and ratings of quality of life (Δ2.2), musculoskeletal discomfort (Δ–4.9), overall fatigue (Δ–2.2), and the need for recovery after work (Δ–1.7) at 6-month follow-up (p < 0.05). CONCLUSION: Although not being effective for reducing sitting time, the implementation of sit-stand desks in the Portuguese workspace was shown to be feasible over the long term, received well by users, and may offer other health benefits. TRIAL REGISTRATION: OSF Registration, OSF.IO/JHGPW. Registered 15 November 2022. https://doi.org/10.17605/OSF.IO/JHGPW.
The effect of sex, age, work experience, education, shift, and ward on nursing autonomy perceptions
Authors: Vitale Elsa , Mea Rocco , Chang Yun-Chen
Published: April 2024

BACKGROUND: In Italy, cultural and professional nursing improvements are reached thanks to the university-based education which marks the clinical competency and the professional autonomy in nursing decision-making. OBJECTIVE: To highlight how Italian nurses perceived their nursing autonomy level in the main action-points highlighted in the Italian regulation law according to sex, age, work experience, education, shift and ward. METHODS: A cohort explorative study was carried out from September 2022 to January 2023 to highlight how Italian nurses perceived their nursing autonomy levels in the main action-points highlighted in the Italian regulation law for the nursing profession according to demographic characteristics, like: gender, age, work of experience, education, shift, ward employment. RESULTS: A total of 403 nurses were enrolled. Significant differences were recorded in: decision-making authority in patient care and shift (p≤0.001) and ward employment (p = 0.045); ability to initiate nursing interventions and education (p < 0.001) and ward employment (p = 0.011); collaboration and communication with healthcare team members and education (p < 0.001) and ward employment (p = 0.010); independence in clinical judgment and critical thinking and shift (p < 0.001); responsibility for the planning and evaluation of nursing care and education (p = 0.005) and shift (p = 0.002) and ward employment (p = 0.013); autonomy in professional development and continuing education and shift (p < 0.001) and ward employment (p < 0.001). CONCLUSIONS: The results highlighted the intricate world both of the healthcare surrounding and the abilities to act autonomously within the multiprofessional staff. Future studies will develop qualitative and phenomenological designs in order to better define in which fields nurses will act their professional autonomy.
The Frayer Model Effectiveness in The Arabic Vocabulary Development for Students in Madrasah
Authors: Maswani  , Alawiyah N. Lalah , Safira
Published: April 2024

This study aims to improve the vocabulary mastery of grade XI students of Madrasah Aliyah Negeri (MAN) 11 Jakarta through the Frayer model learning strategy. This type of research is classroom action research, which has four components proposed by Kurt Lewin: planning, action, observation, and reflection. Data collection techniques are done through tests (pretest and posttest), direct observation, interviews, and documentation with data sources from learners, Arabic teachers, and collaborators. In contrast, the data processing method includes data selection and classification, presentation, data processing, and conclusion. Based on learning outcomes, the recapitulation of the average score of students in the first cycle was 70,68 (40% who achieved the Minimum Completeness Criteria). Therefore, researchers continue the second cycle. In cycle II, the average score of students was 77 (86% exceeded the Minimum Completeness Criteria). Based on the results of cycle I and II data, it can be concluded that using Frayer model learning strategies effectively increases students' value in learning vocabulary in madrasah. Thus, using the Frayer model in developing Arabic vocabulary for madrasa students has broad implications, including improving vocabulary understanding, developing critical thinking skills, increasing learning independence, and providing diverse learning approaches.
Matter Is the Representation of Space-Time
Authors: Deng Xiaohan , Deng Zhiyong
Published: April 2024

The continuous flowing spacetime forms a spacetime group _G_, one of its fundamental groups is the Poincare group _PO(1,3)_, and the matter and interaction fields are representations of its intrinsic spacetime group. As a kind of quantized space-time unit, space-time group elements generate both space-time manifolds and matter. Matter and fields are aggregates of the quantum space-time within them and determine their type: the Lorentz group _SO(1,3)_ represents a rotating spacetime corresponding to visible matter and the translation group _P1,3_ represents a translational spacetime corresponding to dark matter and dark energy. The aggregation mode of space-time degrees of freedom in matter reveals that charge conjugation symmetry is the inverse symmetry of internal time of charged particles, and the external parity breaking of neutrinos is also due to their internal spatial aggregation mode.
Estimates of Western Atlantic Goliath Grouper (Epinephelus Itajara) Bycatch Mortality in Commercial Fisheries of the Southeastern United States From 2002 to 2022
Authors: Koenig Christopher , Coleman Felicia , Locascio James V.
Published: April 2024

The Atlantic Goliath Grouper (_Epinephelus itajara_) in the southeastern United States is in decline due to increasingly large and persistent red tides, loss of juvenile habitat, and severe cold-weather events. In this paper, we address another source of mortality -- bycatch, focusing on data from NOAA Fisheries logbooks for commercial fisheries operating between 2002 to 2022. We calculate capture related mortality based on known patterns of depth-related barotrauma drawn from the literature and assume that all fish captured at depths greater than 30 m died if unvented prior to release. The overall result suggests that 75% (14,124 of 18,770) of Goliath Grouper captures died from barotrauma, as they either hemorrhaged or were unable to return to the bottom because of increased buoyancy due to expanded gas trapped in the swim bladder. While fishers currently use self-reporting to document these mortalities, this approach often results in biases toward lower capture and a higher survival rate. Thus, we strongly urge the Florida Fish and Wildlife Conservation Commission and the National Oceanic and Atmospheric Administration to quit using logbook data and instead require that fishers use paid observers and remote electronic monitoring on all commercial and charter vessels to ensure more effective, timely and reliable bycatch data for this and other protected species.
NITROGEN IMPROVES BIOMASS PRODUCTION AND CHLOROPHYLL SYNTHESIS IN BASIL PLANTS GROWN UNDER SALT STRESS
Authors: Silva Antônio Veimar da , Nóbrega Jackson , Costa Raimundo Nonato Moraes , Silva Toshik Iarley da , Lopes Adriano Salviano , Ribeiro João Everthon da Silva , Bezerra Ana Carolina , Silva Edcarlos Camilo da , Dias Thiago Jardelino
Published: April 2024

Basil (Ocimum basilicum L.), a medicinal and aromatic plant extensively cultivated in the Northeast region of Brazil, encounters growth challenges attributed to the salinity of irrigation water and soil. Nitrogen (N) is a crucial macronutrient employed to mitigate salt stress in plants. Therefore, this study aimed to evaluate the production of phytomass and chlorophyll synthesis in purple basil plants grown under salinity stress and nitrogen fertilization. The experiment was conducted in 2021 under protected environmental conditions at the Center for Agricultural Sciences, Universidade Federal Paraíba, Areia-PB, Brazil. Five levels of salt stress (0.0, 0.80, 2.75, 4.70, and 5.50 dS m-1) and five doses of N (0.00, 58.58, 200.00, 341.42, and 400.00 mg L-1) applied via foliar were studied. The results revealed that foliar fertilization with N increases plant tolerance to salt stress, promoting root fresh and dry mass accumulation at 294.96 and 205.36 mg L-1 and under ECw of 1.14 and 0.5 dS m-1, respectively. Applying 217.39 and 231.30 mg L-1 of N improves the production of stem dry biomass and the shoot/root ratio of basil plants subjected to salinity of 0.5 dS m-1. The electrical conductivity of irrigation water above 0.8 dS m-1 adversely affects biomass production. The salinity at 3.8 to 4.0 dS m-1 stimulated chlorophyll synthesis in purple basil plants. However, the foliar application of N proves to be a strategic approach to counteract these effects, resulting in increased total dry mass production and chlorophyll contents.
Pengungkapan Sustainability Reporting dengan Efek Profitabilitas dan Mekanisme Good Corporate Governance
Authors: S. Suratman Sasa , Ridwan Mochammad , Pravitasari Putri Aliza
Published: April 2024

This study aims to examine the influence of profitability and good corporate governance mechanisms on sustainability reporting disclosure in State-Owned Enterprises listed on the Indonesia Stock Exchange. The research method employed in this study is multiple linear regression analysis. The population of the study consists of 677 companies, and a sample of 13 companies is selected using sampling techniques. The observation period for this study ranges from 2015 to 2019, resulting in a total of 65 data observations. The findings of the study indicate that profitability and the audit committee have a positive influence on sustainability report disclosure, while the board of commissioners does not have a significant impact on sustainability report disclosure. Collectively, profitability, the board of commissioners, and the audit committee have an influence on sustainability report disclosure in State-Owned Enterprises listed on The Indonesia Stock Exchange.
Skema Kerjasama Pemerintah Dengan Badan Usaha (KPBU) Dalam Penyediaan Infrastruktur Alat Penerangan Jalan (APJ)
Authors: Setiajatnika Eka , Gunadi Trida , Nugraha Heri
Published: April 2024

The purpose of this study is to identify the infrastructure needs for Street Lighting Equipment (APJ), analyze financial performance Government Bandung Regency area, and the Government Cooperation with Business Entities (PPP) scheme in providing APJ infrastructure in Bandung Regency. The local government is only able to provide less than half of the funding. For this reason, it is necessary to look for other alternative sources of funding in funding its infrastructure needs. Through literature and policy/regulation studies, one of the alternatives that is expected to be an important model for providing infrastructure is the Public Private Partnership (PPP) scheme in which the private sector can participate in providing infrastructure starting from the aspects of funding, design, construction, operation, to maintenance. infrastructure based on cooperation agreements. To support this PPP program, the Government of Bandung Regency through the Ministry of Finance has provided fiscal facilities at each stage of the PPP project implementation for the provision of APJ infrastructure.
Penerapan Pengendalian Manajemen Pada Penyaluran Pinjaman Koperasi Simpan Pinjam (Kospin) BN
Authors: Herispuspitasari Florentina , Anitawati Hermawan Ancella Anitawati Hermawan
Published: April 2024

The distribution of loans to the construction sector is sometimes hampered by the capital they have. To improve the capital structure, Kospin will receive a loan from Cooperative Bank X. An increase in Kospin's capital must be followed by an adequate management control system. Therefore, the procedures for loan disbursement and performance measurement must be adequate. This research was conducted at Kospin BN to measure management control based on distribution procedures and performance measurement. The purpose of this study was to obtain an adequate loan operational procedure design, obtain a formal loan performance planning and measurement system as a key success factor to ensure and monitor the achievement of the strategy. The research method used is a case study, using qualitative analysis based on Boundary Systems and Diagnostic Control Systems. The results of the study, based on the SWOT analysis, there are weaknesses in management and pricing strategies as well as competitors' threats that hinder the business loan focus strategy. Therefore, Kospin should determine the right pricing strategy to win the competition. In addition, Kospin has not yet implemented the Business Loan SOP in accordance with the Decree of the Deputy for Financing of the Ministry of Cooperatives and SMEs No.06/Kep/Dep.2/II/2017. So it is necessary to adjust the linkages of procedures, personnel qualifications, division of tasks, business process flow, as well as documentation and records. Kospin also has not set performance targets, monitoring and measuring and evaluating performance formally. Kospin should set targets, monitor and measure performance and evaluate its performance.
Analisis Kebutuhan Pengembangan Sumber Daya Manusia Di Kabupaten Bandung
Authors: Supriyatna Cucu , Djohara Akmad
Published: April 2024

Civil Servants (CS) are still often associated with negative views such as corruption, collusion, nepotism, lack of discipline, lack of competence, lengthy bureaucracy, and inefficiency. Several factors are suspected of having an influence on the performance of civil servants, including education and training, discussing the study of the Development Analysis of Technical Human Resources for General Administration of CS Groups II and III. The research method used is an associative method with a quantitative approach. The research sample consisted of 113 people who were determined using a disproportionate stratified random sampling technique based on educational level strata. The conclusion of this study is that the general administration competence of civil servants class II and III needs to be improved through educational and training interventions (training) as well as non-training interventions. This study identifies the competencies that need to be mastered by CS class II and III and provides suggestions for the Regional Government of Bandung Regency to improve the performance of civil servant general administration. Competency enhancement can be carried out through relevant technical training, such as effective communication, information management, problem solving, computer applications, and effective team building. In addition, non-training interventions such as monitoring the implementation of organizational strategic plans, fostering conducive working relationships, and encouraging a spirit of learning are also needed.
Kepuasan Nasabah Ditinjau Dari Kualitas Pelayanan Inti Dan Kualitas Pelayanan Periferal
Authors: Rusdiana Alan , Sopiyan Pipih , Masduki Masduki
Published: April 2024

Today's intense competition among banks encourages each bank to pay attention to customer needs, wants, and demands, which can be used as a marketing strategy to increase customer satisfaction. This research aims to examine the influence of core service quality and peripheral service quality on customer satisfaction. The population in this research is all 1,082 Bank BNI Persero Cikijing customers. The sample in this research was 100 customers taken using the accidental sampling technique. The data analysis method used is multiple linear regression analysis using SPSS version 21 software. The results of this research show that core service quality and peripheral service quality have a positive effect on customer satisfaction. However, in this case, the quality of core services is the dominant factor in influencing customer satisfaction.
Critical Factors for Increasing Tourism Competitiveness: Analysis of Travel and Tourism Competitiveness Index in Sumedang Regency
Authors: Fitria Ruhyana Nugrahana , Ferdiansyah Hadi , Alam Masruri Fahrul
Published: April 2024

The disruption of the tourism sector needs to be measured to increase tourism competitiveness. This study aims to map tourism competitiveness with the Travel and Tourism Competitiveness Index (TTCI) pillar after the Covid-19 pandemic. Of the 14 pillars of TTCI released by the World Economic Forum, only eight pillars with 56 indicators are used that are relevant to the condition and availability of data at the village level. This research uses a mixed method with a sequential explanatory design approach. The data uses village potential data from the Central Statistics Agency in 2018, 2019, and 2021. The analysis unit consists of 270 villages and seven sub-districts in Sumedang Regency. The results of a composite assessment of all TTCI indicators and pillars show a striking difference in the environmental sustainability pillar, which has increased very highly compared to before the Covid-19 pandemic. The results of the TTCI scoring have mapped aspects of potential, advantages, and weaknesses in terms of eight pillars of tourism competitiveness at the village, subdistrict, and district levels. This study presents actual data on the potential of villages to increase tourism competitiveness using TTCI parameters. It can be a reference for stakeholders to improve areas that are priorities for tourism development, especially facing the aftermath of the Covid-19 pandemic. The declining pillar of human resources during the pandemic requires the attention of stakeholders, especially in developing tourism priority areas.
Peran Financial Technology Dalam Meningkatkan Literasi Keuangan Pada Generasi Z
Authors: Ariani Damayanti Wulan , Ratna Gumilang Risa
Published: April 2024

Technological progress is a new driver of economic growth, if it is related to the financial sector, financial technology has been able to become a new instrument with the hope of increasing financial growth. This research aims to determine the role of financial technology in increasing financial literacy in generation Z . This research uses a qualitative descriptive research method, research that includes an arrangement of interpretative techniques with understanding, not the frequency, of phenomena that often or rarely occur naturally in the social world. The research results show that all respondents know the term financial technology (fintech) and the fintech applications commonly used by generation z are Gopay, OVO, Shopee Pay, Dana. Regarding financial literacy, respondents are in the less literate category, only having limited knowledge about financial institutions, financial products and services. Special education is needed so that literacy regarding fintech and financial literacy continues to increase.
Pengaruh Disiplin Kerja, Kompensasi dan Lingkungan Kerja Terhadap Prestasi Kerja
Authors: Intan Novianty Florentina , Subiyanto Didik , Ratna Purnamarini Tri
Published: April 2024

This study aims to determine the effect of work discipline, compensation and work environment on research work performance at PT. AnugerahMulia Sentosa Yogyakarta. The population and samples used in this study are all employees of PT. Anugerah Mulia Sentosa, totaling 60 people using a questionnaire as a data collection technique. IBM SPSS Statistics 25 is used as data analysis through two stages of testing, namely: classic assumption test and hypothesis test (t test and F test). The results of this study indicate that work discipline has no effect on employee performance, compensation has no effect on employee performance, work environment has no effect on employee performance and work environment has no effect on employee performance in PT. Sentosa Noble Award.
Model Tata Letak Kantor Terhadap Produktivitas Kerja Karyawan Pada Koperasi Serba Usaha Mitra Saudara
Authors: Nugraha Heri , Purnama Sari Yassinta , Haris Fadhillah Muhammad
Published: April 2024

This research aims to find out how much influence office layout has on the work productivity of employees of the Koperasi Serba Usaha (KSU) Mitra Saudara. The method used is a case study and the subjects are KSU Mitra Saudara employees. Meanwhile, the analysis technique uses simple linear regression to test the hypothesis of the influence of office layout on employee work productivity. The results of the research show that office layout has an effect on employee work productivity at KSU Mitra Saudara, namely 77.6%.
Covid-19 Dan Dampaknya Pada Kinerja Keuangan Perusahaan Manufaktur Di Indonesia
Authors: Damayanti Fera , Ardhi Qisthi , Aresia Landarica Bingky
Published: April 2024

At the end of 2019, the world was startled by the emergence of a new disease caused by the Sars CoV-2 virus, now known as Coronavirus Disease-19 (Covid-19). The manufacturing sector is one of the industries affected by the onset of Covid-19 in Indonesia. Covid-19 forced manufacturing companies to lay off employees and caused a decline in the Manufacturing Purchasing Managers Index in 2020. This research aims to analyze the financial performance of manufacturing companies in Indonesia, specifically focusing on profitability ratios before and during the Covid-19 pandemic in 2020. This study is a quantitative research type using descriptive analysis. The hypothesis testing in this research utilizes non-parametric statistical analysis techniques, employing the Wilcoxon Signed Rank Test approach with the statistical tool SPSS version 25.0. The results of the research indicate that Net Profit Margin (NPM), Return On Asset (ROA), and Return On Equity (ROE) before Covid-19 in 2019 were better compared to Net Profit Margin (NPM), Return On Asset (ROA), and Return On Equity (ROE) during the Covid-19 pandemic in 2020 for manufacturing companies in Indonesia.
Pengaruh Pengetahuan Perpajakan Terhadap Kepatuhan Wajib Pajak UMKM yang Dimoderasi Melalui Motivasi Wajib Pajak Dalam Melaksanakan Kewajiban Perpajakan
Authors: Castellani Justinia , Tonthawi Anne , Aresia Landarica Bingky
Published: April 2024

On June 8, 2018, the government issued Government Regulation Number 23 to replace Government Regulation Number 46 of 2013, as it was deemed too burdensome for taxpayers with unstable gross income. This replacement certainly changed the Final Income Tax rate from the initial 1% to 0.5%. In this research, variables include Tax Knowledge, Tax Compliance, and Taxpayer Motivation. The research method employed a descriptive-verification approach through interview surveys and questionnaires. The findings indicate that tax knowledge does not have a significant influence on taxpayer compliance. However, the analysis with the t-test shows a t-value significance of 0.189, which is greater (>) than 0.05. Nevertheless, taxpayer motivation has a significant impact on strengthening the relationship between tax understanding and taxpayer compliance, as the t-test result shows a significance value of 0.021, which is smaller (<) than 0.05.
Peluang Dan Tantangan Ekonomi Bisnis Dan Kesehatan Di Era Society 5.0
Authors: Rosmayati Siti , Maulana Arman
Published: April 2024

Artikel ini merupakan hasil seminar nasional ekonomi bisnis pada tanggal 11 Desember 2023 di Politeknik Piksi Ganesha sehingga penulis mengembangkan dalam sebuah jurnal, evolusi peradaban manusia dari Revolusi Neolithik hingga era digital, dengan fokus pada dampaknya terhadap ekonomi, bisnis, dan kesehatan. Menggunakan metode studi dokumentasi, penelitian ini bertujuan untuk memahami perubahan mendasar dalam cara kita bekerja, berbisnis, dan merawat kesehatan seiring berjalannya waktu. Proses penelitian melibatkan identifikasi tujuan penelitian yang melandasi eksplorasi tentang Revolusi Industri dan struktural Masyarakat 5.0. Dokumen-dokumen terkait, seperti laporan penelitian, kebijakan pemerintah, dan artikel ilmiah, diidentifikasi, dikumpulkan, dan dievaluasi untuk mendukung analisis dan interpretasi. Hasil penelitian menyoroti pentingnya inovasi teknologi, digitalisasi bisnis, pembangunan kota cerdas, dan pelayanan kesehatan terkoneksi dalam era Society 5.0. Namun, bersamaan dengan peluang, penelitian ini juga menekankan tantangan, termasuk ketidaksetaraan akses, keamanan siber, dan pergeseran struktur pekerjaan. Dengan memberikan saran untuk meningkatkan akses, mengatasi tantangan keamanan siber, dan mendukung pendidikan dan pelatihan keterampilan, penelitian ini menggarisbawahi upaya yang dapat diambil untuk mengoptimalkan dampak positif teknologi. Fokus pada aspek etika, kolaborasi lintas sektor, dan keberlanjutan menjadi kunci dalam merancang masa depan yang inklusif dan berkelanjutan di era digital ini. Dengan menggabungkan pendekatan holistik ini, diharapkan kita dapat menghadapi masa depan dengan bijaksana, meminimalkan risiko, dan meraih manfaat maksimal dari revolusi teknologi yang terus berkembang
Role Ambigiguity Terhadap Work Female Employee Melalui Job Stress Sebagai Variabel Intervening
Authors: Hernita Nita , Riyadi Wulan , Wida Rahmayani Melia
Published: April 2024

Covid-19 delivers change in a way comprehensive including sector economy . Indonesia experienced change significant . Current company this and rapid development _ demand Woman For take switch in develop career work , and even there is something to be leader organization . Different with the past placing perception Woman considered low and inclined experience discrimination in career and work . Opt-in Woman in Work bring negative consequences resulting from conflict role . Study This aim For know about connection between role ambiguity and Work Female Employee which is moderated by job stress . The analytical method used is multiple linear regression with the SPSS 21 program. Research sample Female employees in the district Majalengka , numbering 100 employees . The result role ambiguity influences negative towards Work Female Employees, Job stress influential negative in connection between role ambiguity and the next Work Female Employee Can made material study For study about Working Female Employees .
Analisis Tingkat Efisiensi Saluran Distribusi Komoditi Bawang Merah di Kabupaten Bandung
Authors: Risnawati Nanik , Lesmana Angga , Supriyadi Ery
Published: April 2024

This research aims to address the challenges faced by shallot farmers in distributing their produce. A preliminary survey conducted in the field revealed a significant price gap between the farm and consumer levels, ranging from Rp.2,000 to Rp.4,000 per kg. Thus, the objective of this study is to identify the distribution channels for shallots in Cimaung Subdistrict, assess the efficiency levels and farmers' income across various channels, and recommend strategies for farmers to enhance their income. The research method employed is a case study with a sample size of 35 shallot farmers. The farmers were selected from the population using incidental sampling techniques. Snowball sampling was used to identify the institutions involved in the shallot distribution channel in Cimaung District. The study found that there are six type distribution channels in Cimaung Subdistrict, involving three distribution institutions: intermediary traders, wholesalers, and retailers. The type VI distribution channel was found to have the smallest efficiency value at 3.1%, while the type V distribution channel had the largest farmer share at 92.64%. (3) Farmers who use type VI distribution channels with a selling price of Rp.30,000/kg and type IV distribution channels with a price of Rp.29,167/kg obtain the highest income. (4) The following section discusses the factors that contribute to income growth.
Pengaruh Lingkungan Kerja, Kompensasi dan Kepuasan Kerja Terhadap Motivasi Kerja Karyawan Browny Persian Petshop-Yogyakarta
Authors: Azmi Ulul
Published: April 2024

Human Resources (HR) is the planner, mobilizer, and controller of the entire company. Therefore, the management, empowerment and welfare of employees need to be considered. HR can work effectively and efficiently, one of the factors is the state of a conducive and adequate work environment. In addition, quality compensation plays an important role in employee motivation.    The purpose of this study is to analyze the effect of Work Environment, Compensation and Job Satisfaction on Work Motivation. The population in this study was 30 employees of Browny Persian Petshop Yogyakarta who were also respondents as a whole.  Quantitative data were obtained through the distribution of questionnaires, using the Likert scale method.  Furthermore, the collected data is analyzed using the SPSS program. The results of this study prove that these three variables have no effect on the work motivation of Petshop Browny Persian employees. But simultaneously the Work Environment, Compensation and Job Satisfaction have a significant positive effect on work motivation.  The results of this analysis have implications for Browny Persian Petshop's managerial, related to the need to take measurable actions to increase employee motivation through proper management of the Work Environment, Compensation and Job Satisfaction.
Pemodelan Digital Hospital untuk Peningkatan Mutu Layanan Tenaga Medis RS Mutiara Hati
Authors: Rizqullah Wisam , Muhardi Muhardi , Hadian Rahim Agus
Published: April 2024

Digital hospital is a leading concept that has been invested by developed countries in recent years. One of the hospitals that has started using the concept is Subang Mutiara Hati Hospital. The aim of this research to examine the digital hospital modeling implementation of improving the medical personnel quality services at Subang Mutiara Hati Hospital. This research used mixed methods with concurrent triangulation design consisting interview, observation, documentation & questionnaire technique. The samples were 46 informants & 46 respondents. The results showed that the digital hospital modeling at Subang Mutiara Hati Hospital had been running well & based on HIS (Hospital Information System) which consisted of non-medical & medical. HIMSS EMRAM digital hospital stage & criteria showed that Subang Mutiara Hati Hospital was appropriate at stage 1 with appropriate category (274), and was heading to stages 2, 3, and 4. Digital hospital modeling had improved the medical personnel services quality in all its dimensions which include: patient safety, effectiveness, patient-centeredness, punctuality, efficiency & equity with all categories were good score. In addition, digital hospital modeling provided many advantages, including paperless, faster service, providing convenience for medical personnel and patients, reducing human error, more secure data storage, accurate information & data.