bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KOMUNIKASI DAN PENGAWASAN TERHADAP KINERJA KARYAWAN MELALUI MOTIVASI PADA UNIT SIMPAN PINJAM (USP) KUD TANI JAYA
Authors: Fa'alillah Zulfa 
Published: October 2024

Abstract

This study aims to analyze and prove that Communication and Controlling affect employee performance through motivation as a mediating variable in the Savings and Loans Unit (USP) KUD Tani Jaya. Therefore, employees have a very important role in the company or organization as a driver of success in achieving goals. This type of research is quantitative with primary and secondary data supported by data through questionnaires distributed to a sample of 55 respondents. With the respondent's sampling technique, the sample is saturated. The data analysis technique used Inferential Statistics and Partial Least Square (PLS) methods. The results of this study indicate that the Communication and Controlling variables have a significant positive effect on employee performance. The Communication and Controlling variables have a significant positive effect on motivation. Then, motivation also has a significant positive effect on employee performance. This study also shows a partial test, namely that Communication has a significant positive effect on performance and is mediated by motivation. Controlling has a significant positive effect on performance and is mediated by motivation..
PENGARUH KINERJA LAYANAN DAN KINERJA KEUANGAN TERHADAP KEMANDIRIAN DIMODERASI KETERSEDIAAN ANGGARAN BLU BBIB SINGOSARI
Authors: Aryani Dwi Nita , Bachtiar Aris 
Published: October 2024

This study aims to examine and analyze the effect of service performance and financial performance on financial independence moderated by state budget (APBN) availability. Service performance consists of the number of sales frozen semen, Training Service, and Livestock Tourism. Meanwhile, the financial performance consists of the Current Ratio, Return on Assets, and Net Profit Margin. This research was conducted at Singosari National AI Center which has been assigned status as a Public Service Agency (BLU) since 2010. This type of causality research uses secondary data from 2011-2020. The statistical data analysis model in this study uses Partial Least Square (PLS). The results showed that service performance had a positive and significant contribution to financial performance. Service performance has a positive but insignificant contribution to BLU Independence. The service performance indicator that has the strongest influence is frozen semen sales. Financial Performance has a positive but not significant contribution to BLU Independence. The financial performance indicator that gives the biggest positive contribution is the Return on Assets. Based on the test results of statistical data analysis, this study shows that the availability of APBN does not moderate the relationship between service performance and financial performance of BLU Singosari National AI Center.
Organizational Citizenship Behavior: Peran Kepemimpinan Transformasional dan Keterikatan Kerja
Authors: Maharani Tiara Dyah , Frianto Agus 
Published: October 2024

This study aims to explain the effect of transformational leadership on organizational citizenship behaviour through work engagement. This research is a quantitative study with 43 respondents. The sampling technique is saturated sample technique thus the number of samples is equal to the total population of employees of PT. X. The analysis technique used in this study is SEM-PLS with PLS software version 4.0. The data analysis technique used in this study is the SEM-PLS analysis technique which is processed with SmartPLS version 4.0 software. The analysis results obtained from this study indicate that transformational leadership and work engagement have a positive and significant effect on organizational citizenship behaviour. Meanwhile, work engagement in this study has yet to be able to mediate the effect of transformational leadership on organizational citizenship behaviour. The implication of this research that can be applied to companies is the need for leaders to approach all employees according to the characteristics of each employee so that the delivery of input and directions can be more effective. In addition, it is necessary to have periodic supervision of employees' work so that employees will be more focused when working. Companies also need to involve employees in doing new things outside of work, such as accompanying apprentices or new employees during their orientation period, so employees get used to being open to everyone and accustomed to helping each other even outside their routine jobs.
The Pengaruh Harga Tiket Tarif Khusus, Kualitas Layanan Petugas, dan Fasilitas Fisik Stasiun Terhadap Keputusan Penggunaan Transportasi Kereta Api
Authors: Hasanah Inggrit Aulia Wati , Iriani Sri Setyo 
Published: October 2024

Kereta api memiliki banyak peminat, akan tetapi saat ini persaingan yang kompetitif dengan transportasi bus dapat menyebabkan konsumen beralih menggunakan transportasi tersebut. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh harga tiket tarif khusus, kualitas pelayanan petugas, dan fasilitas fisik stasiun terhadap keputusan penggunaan jasa transportasi kereta api. Metodologi penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan survey menggunakan teknik non probability sampling. Data diambil menggunakan metode purposive sampling sebanyak 200 sampel. Teknik analisa data yang digunakan adalah regresi linier berganda dengan alat bantu SPSS (Statistic Package for Social Sciences) versi 26. Hasil penelitian menunjukan bahwa harga tiket tarif khusus dan kualitas layanan petugas stasiun berpengaruh positif signifikan terhadap keputusan pembelian sedangkan fasilitas fisik stasiun berpengaruh negatif signifikan terhadap keputusan penggunaan kereta api. Harga tiket tarif khusus, kualitas layanan petugas, dan fasilitas fisik stasiun secara simultan berpengaruh terhadap keputusan penggunaan kereta api.
PENGARUH SELF EFFICACY DAN SERVANT LEADERSHIP TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR MELALUI JOB CRAFTING PADA KARYAWAN PDAM KOTA SURABAYA
Authors: Baskoro Rayhan Amri Putra , Rozaq Khoirur 
Published: October 2024

This research aims to examine and analyze the influence of self-efficacy and servant leadership on organizational citizenship behavior through job crafting among employees of PDAM Kota Surabaya. The study adopts a quantitative research approach, and the sampling technique employed is proportionate random sampling, with a sample size of 136 respondents. Statistical analysis in this research utilizes Structural Equation Modeling (SEM) with AMOS 24 software. The findings confirm that self-efficacy has a positive and significant effect on organizational citizenship behavior, while servant leadership also has a positive and not significant impact on organizational citizenship behavior. Additionally, self-efficacy has a positive and significant influence on job crafting, and servant leadership similarly affects job crafting positively and significantly. Job crafting, in turn, has a positive and significant impact on organizational citizenship behavior. Furthermore, job crafting mediates the influence of both self-efficacy and servant leadership on organizational citizenship behavior.
Pengaruh work-life balance dan job involvement terhadap in-role performance dengan affective commitment sebagai variabel mediasi
Authors: Azizah Alvi Nur , Rozaq Khoirur 
Published: October 2024

Tujuan dari penelitian ini adalah untuk mendapatkan pemahaman komprehensif tentang bagaimana keseimbangan kehidupan kerja, keterlibatan kerja, dan komitmen afektif berkontribusi terhadap peningkatan kinerja dalam peran. Selain itu, makalah ini mengkaji peran komitmen afektif dalam memanfaatkan keseimbangan kehidupan kerja untuk meningkatkan kinerja dalam peran dan dalam memaksimalkan keterlibatan kerja untuk meningkatkan kinerja dalam peran. Penelitian kuantitatif yang bersifat eksplanatori ini menggunakan metode Structural Equation Model (SEM). Temuan mengungkapkan bahwa di PT. X, work-life balance tidak berpengaruh langsung terhadap in-role performance namun berpengaruh positif dan signifikan terhadap komitmen afektif. Hal ini menunjukkan bahwa karyawan dengan persepsi keseimbangan kehidupan kerja yang lebih tinggi menunjukkan komitmen afektif yang lebih besar. Keterlibatan kerja terbukti positif dan signifikan mempengaruhi kinerja dalam peran dan komitmen afektif, menunjukkan bahwa keterlibatan kerja yang lebih tinggi meningkatkan kinerja dan komitmen di antara karyawan. Komitmen afektif sendiri secara signifikan meningkatkan kinerja dalam peran, menunjukkan pengaruh langsungnya terhadap kinerja karyawan. Namun, keseimbangan kehidupan kerja tidak berdampak signifikan terhadap kinerja dalam peran melalui komitmen afektif sebagai variabel intervening, karena pengaruh tidak langsungnya lebih kecil dibandingkan pengaruh langsungnya. Sebaliknya, keterlibatan kerja secara signifikan meningkatkan kinerja dalam peran melalui komitmen afektif, yang menunjukkan bahwa komitmen afektif memediasi hubungan antara keterlibatan kerja dan kinerja dalam peran. Ruang lingkup penelitian ini terbatas pada satu perusahaan, sehingga penelitian selanjutnya sebaiknya mencakup beberapa perusahaan untuk ukuran sampel yang lebih besar. Selain itu, penelitian selanjutnya direkomendasikan untuk mengeksplorasi kinerja dalam peran dengan memasukkan variabel lain seperti gaya kepemimpinan atau self efficacy
Pengaruh overconfidence, risk tolerance, return, financial literacy, financial technology terhadap keputusan investasi yang dilakukan mahasiswa Surabaya
Authors: Mahardhika Muhammad Danang , Asandimitra Nadia 
Published: October 2024

Penelitian ini mengkaji tentang keputusan investasi pada Mahasiswa di Kota Surabaya, serta menganalisis hubungan antara Overconfidance, Risk Tolerance, Return, financial Literacy, dan Financial Technology terhadap keputusan investasi. Objek penelitian ini adalah kalangan Mahasiswa di kota Surabaya dan teknik pengumpulan data menggunakan Teknik purposive sampling. Total responden yang diperoleh adalah 210 dengan menyebarkan kuisioner secara online. Penelitian ini bersifat konkuslif kasualitas dan teknik analisis Structural Equation Modeling (SEM) pada software AMOS versi 24. Hasil penelitian ini menunjukkan bahwa Risk Tolerance, Return, financial Literacy, dan Financial Technology berpengaruh signifikan positif terhadap keputusan investasi, sedangkan Overconfidance tidak berpengaruh terhadap keputusan investasi. Kajian ini dapat menjadi refrensi yang bermanfaat bagi berbagai pihak, khususnya investor dimana sebaiknya selalu bertindak dan bersikap baik dalam hal pangambilan keputusan saat berinvestasi di pasar modal
Pengaruh Budaya organisasi dan Kompensasi terhadap Komitmen organisasi melalui Motivasi kerja pada Karyawan Hotel Halogen Sidoarjo
Authors: Nugraha Enrico Satria 
Published: October 2024

Penelitian ini bertujuan untuk menjelaskan pengaruh Budaya organisasi dan Kompensasi terhadap Komitmen organisasi melalui Motivasi kerja. Riset ini termasuk penelitian kuantitatif dengan responden sebanyak 38 orang, dan teknik pengambilan sampel yang dipakai yakni purposive sampling untuk mengumpulkan data dari Karyawan Hotel Halogen Sidoarjo. Teknik analisis data yang digunakan berupa SEM-PLS dengan software SmartPLS versi 4.0. Hasil dari studi ini yaitu Budaya Organisasi dan Kompensasi memiliki pengaruh positif terhadap Motivasi Kerja dan Komitmen Organisasi. Motivasi Kerja memiliki pengaruh positif terhadap Komitmen Organisasi. Motivasi Kerja dapat memediasi pengaruh Budaya Organisasi terhadap Komitmen Organisasi. Sementara itu, Motivasi Kerja tidak dapat memediasi pengaruh Kompensasi terhadap Komitmen Organisasi. Pimpinan Hotel Halogen perlu mengadakan kegiatan keakraban di luar kota untuk memperkuat hubungan yang lebih terbuka antara manajemen dan karyawan. Pimpinan Hotel perlu memberikan bimbingan dan arahan kepada karyawan untuk mendorong mereka memiliki sikap berani dalam pengambilan keputusan. Pimpinan Hotel seharusnya memberikan apresiasi kepada karyawan atas kinerja mereka yang baik dengan memberikan bonus atau penghargaan. Pelatihan dan kegiatan pendidikan diperlukan bagi karyawan Hotel untuk meningkatkan keterampilan mereka dan membuat mereka lebih kompetitif. Selain itu, mengadakan kegiatan kebersamaan bagi semua anggota Hotel Halogen di Sidoarjo dapat membantu memperkuat hubungan antara pimpinan dan karyawan.
Numerical Modeling the Rock Mass Stress-Strain State Near Vertical Excavations in Combined Mining
Authors: Zeitinova Sh. , Imashev A. , Bakhtybayev N. , Matayev A. , Mussin A. , Yeskenova G. 
Published: October 2024

In recent years, the development of the mining industry in the Republic of Kazakhstan has been accompanied by the commissioning of new underground levels for many existing mineral deposits, which were initially developed through open-pit mining. As the depth of open-pit mining increases, the volume of overburden rises sharply, making open-pit mining unprofitable due to the significant amount of additional mining work required. For this reason, most open-pit mines in Kazakhstan are transitioning to underground mining, or combined mining. Many researchers have examined the timing of this transition and have worked on optimizing it to determine the best economic efficiency and manage risks. However, there is limited information available on how to determine the optimal location for a vertical mine shaft when transitioning from open-pit to underground mining. The purpose of this study is to identify a safe location for a vertical shaft in combined mining operations. Specifically, the study assesses the impact of the open-pit mine on the selection of the mine shaft’s location, considering the stress-strain state of the rock mass during combined mining methods. To address these objectives, numerical modeling of the stress-strain state around vertical excavations during combined mining was performed. The results provide a solution to the critical issue of determining the location of the mine shaft in combined geotechnology and lay the groundwork for further research on shaft placement in Kazakhstan. The novelty of this study lies in identifying the shaft location by considering the geometric shape of the open-pit mine and the depth of development. Doi: 10.28991/CEJ-2024-010-09-010 Full Text: PDF
Development of Pavement Deterioration Models Using Markov Chain Process
Authors: Isradi Muhammad , Rifai Andri I. , Prasetijo Joewono , Kinasih Reni K. , Setiawan Muhammad I. 
Published: October 2024

A common phenomenon in developing countries is that the function of the pavement in the road network will experience structural damage before the completion of life is reached, and the uncertainty of pavement damage is difficult to predict. Planning for maintenance treatment depends on the accuracy of predicting future pavement performance and observing current conditions. This study aims to apply the Markovian probability operational research process to develop a decision support system predicting future pavement conditions. Furthermore, it determines policies and effectiveness in managing and maintaining roads. A standard approach that can be used by observing the history of pavement damage from year to year is to estimate the transition probability as a Markovian-based performance prediction model. The results show that the application of the model is quite optimal, changes in pavement conditions after repair can be easily compared with an increase in good condition, reaching 92.8%. Routinely and consistently handling road deterioration will give favorable results regarding pavement condition value. This will ease in the management of the road network and the accomplishment of the optimal maintenance and repair policies. Doi: 10.28991/CEJ-2024-010-09-012 Full Text: PDF
Effect of Climate Change on Wetland Areas in West Iraq Using Satellite Data and GIS Techniques
Authors: Hassan Waqed H. , Khazaal Suhail T. , Al-Shammari Musa H. 
Published: October 2024

Iraq is considered to amongst those countries in the Middle Eastern region that are most exposed to the effects of climate change, which will have notable effects on wet areas and lakes. Natural or industrial water resources must be paid particular attention due to their importance in preserving environmental and biological systems, in addition to their economic and social importance. As a result of the effects of climatic change, water resources in Iraq have seen a multitude of changes. The aim of this study is to determine changes in the wetland area around AL-Razzaza Lake, Karbala province, Iraq, during the years 2000, 2005, 2010, 2015, and 2023. Landsat 5 satellite data from 2000, 2005, and 2010, and Landsat 8 and 9 data for 2015 and 2023, respectively, were used in this analysis, which was conducted using NDWI as a free, open-source program (ArcMap 10.8) to detect these changes; NDWI is a natural water anisotropy index used to detect the surface area of bodies of water in satellite images. The results revealed a clear decrease throughout the study period, as the wetland area of the lake in 2000 was 1189.7 km2, which represents a decrease of 34.3% compared to the total area of the lake (1810 km2); it decreased by 52.7% in 2005 (855.5 km2) and continued to decrease for 2010, 2015, and 2023, by 79.2%, 80%, and 85%, (376.5 km2, 362.9 km2, and 270.4 km2, respectively). The wetland area of Al-Razzaza Lake decreased between 2000 and 2023 by 919.3 km2, that is, an average of 40 km2per year. It was found that the lake wetland area sharply declined over the study period due to a lack of water surface resources via the Euphrates River, as well as climatic changes and poor water resource management. It is anticipated that the lake will lose more than half its current wetland area by 2040 if the current decline continues. These results are considered important in terms of preparing a strategic plan to preserve water bodies and wet areas in Iraq, including Al-Razzaza Lake. Remote sensing and GIS technologies have played a major and essential role in detecting such changes. Doi: 10.28991/CEJ-2024-010-09-013 Full Text: PDF
Vehicle Safety Application through the Integration of Flood Detection and Safe Overtaking in Vehicular Communication
Authors: Seng Kwang Chee , Abdul Razak Siti Fatimah , Yogarayan Sumendra 
Published: October 2024

Road safety in Malaysia is a major concern due to frequent floods and accidents caused by overtaking. These issues result in significant injuries and losses. In this paper, we introduce a new system called the Safe Driving Tool (SDT). The SDT integrates a Flood Detection System (FDS) and a Vehicle Overtaking System (VOS) using Long-Range (LoRa) communication technology. The FDS continuously monitors water levels in flood-prone areas. It alerts drivers about potential hazards through vehicle-to-infrastructure (V2I) communication. Simultaneously, the VOS enables safe overtaking maneuvers. It does this by exchanging information with nearby vehicles through vehicle-to-vehicle (V2V) communication. Through testing and experimentation, we have shown that the SDT system effectively reduces accident risks and losses associated with floods and overtaking. The system's performance under various conditions confirms the reliability and effectiveness of LoRa communication technology in enhancing vehicular safety. This study represents a significant advancement in road safety. It combines flood detection and overtaking assistance into a single unified system, addressing two major causes of road accidents in Malaysia. The integration of V2I and V2V communication provides a comprehensive solution that improves driver awareness and decision-making. This ultimately leads to safer driving environments and enhanced driver convenience. Doi: 10.28991/CEJ-2024-010-09-015 Full Text: PDF
Evaluation of Tidal Energy Potential Using a Two-Way Tidal Energy Model
Authors: Rusvan A. Aliffathur , Maricar Farouk , Thaha M. Arsyad , Paotonan Chairul 
Published: October 2024

Tidal energy is a renewable energy source that provides sustainable energy through the utilization of tidal differences, making it a very promising option. This study examines a more effective tidal energy reservoir model by building a 1:100 scale prototype in the laboratory with several predetermined variations, namely an earthen pond (100, 80, and 60 cm), and flow holes (1.5, 1, and 0.5 cm) with initial tidal height differences of 10 cm, 15 cm, and 20 cm. The model uses a 6-hour time period, which corresponds to a semidiurnal tidal model. The results showed that the highest energy output was 281.84 kWh, achieved with a 1.5 cm flow hole, 20 cm tidal height difference for the initial condition, and 80 cm pond width. For a 1 cm flow hole, the outputs were 1774.8 kWh and 1803.78 kWh for 15 cm and 20 cm tidal height difference for the initial condition with a pond width of 100 cm. Meanwhile, the 0.5 cm flow hole produces potential energy outputs of 2623.8 kWh and 2611.4 kWh for different tidal heights of 15 cm and 20 cm for the initial condition with a pond width of 100 cm. Better model performance can be connected to a mini generator to validate the energy generated from the designed prototype model. Doi: 10.28991/CEJ-2024-010-09-016 Full Text: PDF
Artificial Intelligence Using FFNN Models for Computing Soil Complex Permittivity and Diesel Pollution Content
Authors: Nimer Hamsa , Ismail Rabah , Rawashdeh Adnan , Al-Mattarneh Hashem , Khodier Mohanad , Hatamleh Randa , Abuaddous Musab 
Published: October 2024

Soil pollution caused by hydrocarbons, such as diesel, poses significant risks to both human health and the ecosystem. The evaluation of soil pollution and various soil engineering applications often relies on the analysis of complex permittivity, encompassing parameters such as dielectric constant and dielectric loss. Various computational models, including theoretical physics-based models, mixture theory models, statistical empirical models, and artificial neural network (ANN) models, have been explored for computing soil complex permittivity and predicting water and pollutant content. Theoretical models require detailed data that is often unavailable, and thus have limited applicability. Mixture models tend to underestimate soil characteristics due to inaccuracies in permittivity estimation of soil phases. While empirical models are widely used, their applicability is restricted to specific soil types, datasets, and locations. ANN models offer promising predictions, accommodating nonlinear phenomena and allowing for missing information and variables. In this study, capacitive electromagnetic electrode sensors were utilized to determine the complex permittivity of soil contaminated with varying levels of diesel at different moisture levels. Theoretical mixture, empirical, and Feed Forward Neural Network (FFNN) models were employed to compute the permittivity of polluted soil based on its phases and to predict the level of diesel pollution. A comparison of these modeling approaches revealed that the FFNN model exhibited the best performance. The ANN model demonstrated superior performance metrics, including a high correlation coefficient and lower mean square error. Specifically, the correlation coefficients for the FFNN model were 0.9942 for training samples, 0.9967 for validation samples, and 0.9977 for test samples. Additionally, the ANN model yielded the lowest mean square error compared to the other three models. Doi: 10.28991/CEJ-2024-010-09-018 Full Text: PDF