bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS PENGARUH STRUKTUR MODAL, KEPEMILIKAN SAHAM MANAJEMEN, PROFITABILITAS, UKURAN PERUSAHAAN, DAN LIKUIDITAS, TERHADAP KEBIJAKAN DIVIDEN DALAM MENINGKATKAN NILAI PERUSAHAAN
Authors: Irmawati Dessy 
Published: October 2024

The purpose of this study is analyzing the impact of the variable Debt to Equity Ratio (DER), Insider Ownership (IO), Return On Asset (ROA), Firm Size (SIZE), Current Ratio (CR), on variable Deviden Payout Ratio (DPR) and corporate value on manufacturing companies listed in Indonesia Stock Exchange 2008 – 2011 period. Research using purposive sampling method for taking samples with the following criteria: (1) manufacturing company published financial report during period 2008 -2011; and (2) manufacturing company which always pays deviden within period of research (2008-2011). The Data was based on publicity Indonesian Capital Market Directory (ICMD) from 2008 to 2011. Sample was acquired 134 observed. Data was analyzed with multi linier regression of ordinary least square and hypotheses was tested using t-statistic and f-statistic at level of significance 1%, 5%, 10%. Analysis result shows that insider ownership, ROA is partially affecting DPR have a significance value less than 5%, while firm size, liquidity and current ratio are not significant impact on DPR. ROA, DPR and firm size able to affect company value have a significance value less than 5%, while DER,insider ownership, liquidity and current ratio are not significant impact on company value. The implication is that the company should prioritize ROA since ROA is a variable which dominantly affecting DPR and company value. The meaning of strategy which is done through investment strategy that is based on ROA has positif relationship upon deviden policy which means if the company has high profitability will give increase of deviden policy actually increase company value.
ANALISIS FAKTOR FAKTOR YANG MEMPENGARUHI MINAT KUNJUNGAN ULANG WISATAWAN SEMARANG
Authors: Nuraeni Bellinda Sofia 
Published: October 2024

AbstrakVisit Jawa Tengah 2013 merupakan sebuah gerakan untuk meningkatkan kepedulian terhadap potensi luar biasa yang dimiliki oleh Jawa Tengah. Museum Ranggarwasita Jawa Tengah merupakan salah satu destinasi wisata utama yang disiapkan untuk Visit Jateng 2013. Hal ini karena Museum Ranggawarsita merupakan museum terbesar di Jawa Tengah yang memiliki koleksi cukup lengkap. Permasalahan dalam penelitian ini adalah menurunnya jumlah kunjungan wisatawan ke Museum Ranggawarsita Semarang. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi minat kunjung ulang wisatawan Museum Ranggawarsita Semarang.Dalam penelitian ini dikembangkan sebuah permodelan dengan tujuh hipotesis yang telah dirumuskan. Sampel dalam penelitian ini berjumlah 110 responden yang merupakan pengunjung Museum Ranggawarsita Semarang. Metode yang digunakan dalam penelitian ini adalah menggunakan metode PLS-SEM.Hasil penelitian menunjukkan bahwa variabel yang berpengaruh signifikan terhadap variabel minat kunjung ulang adalah variabel promosi, variabel kualitas pelayanan dan variabel daya tarik wisata. Kemudian, variabel yang berpengaruh signifikan terhadap variabel citra wisata adalah variabel promosi dan variabel kualitas pelayanan. dan variabel yang berpengaruh terhadap daya tarik wisata adalah variabel kualitas pelayanan.
Beberapa Studi Tentang Tarif Listrik di Indonesia dan Alternatif Penentuan Tarif dengan Metode Akuntansi
Authors: Ghozali Imam 
Published: October 2024

Kebijakan deregulasi dan debirokratisasi yang sudah berjalan sejak tahun 1983, seperti telah kita ketahui bersama, sesungguhnya ditujukan untuk meningkatkan efisiensi di dalam perekonomian Indonesia. Sektor listrik seyogyanya tidak terlepas dari kebijakan deregulasi dan debirokratisasi yang serupa. Beberapa langkah kebijakan telah diambil oleh pemerintah seperti yang dinyatakan oleh Pemimpin PT PLN Distribusi Jateng Bapak Ir Syaiful B Ibrahim, Msc di harian Wawasan 30 Juni 1998. PT PLNyang jangkauan operasionalnya dari Sabang sampai Timar Timur akan dipecah-pecah menjadi beberapa bagian berdiri sendiri agar efisien dan lebih kompetitif. Rencana pemecahan PLN ini merupakan bagian dari restrukturisasi PT PLN. PLN distribusi Jawa Tengah nantinya akan berdiri sendiri terlepas dari PLN pusat. Demikian juga PLN distribusi Jatim, Jabar dan DKI Jaya. Keempat perusahaan listrik di Jawa ini akan bersaing memperebutkan pasar. Masing-masing bebas menetukan tarif listrik karena pemerintah sudah tidak memberikan lagi subsidi bagi konsumen listrik di Jawa.
The Influence of Service Quality and Promotion on Consumer Loyalty Through Customer Satisfaction as an Intervening Variable
Authors: Haryanti Denny Septa , Hermawanti Nanik , Prilyana Cindy , Anggiani Sarfilianty 
Published: October 2024

This research aims to examine and analyze the influence of Service Quality and Promotion on Consumer Loyalty through Customer Satisfaction as an intervening variable for customers at Sulawesi Grilled Fish. The dependent variable used in this research is Consumer Loyalty (Y), the intervening variable used is Customer Satisfaction (Z), while the independent variables used are Service Quality (X1) and Promotion (X2). The sample in this study was 96 respondents. The sampling technique uses purposive sampling with the criteria being that the respondent is at least 18 years old and has made at least 2 purchases. The analytical method used is Convergent Validity, Discriminant Validity. Composite Reliability, Inner model. The results of the research conducted show that Service Quality and Promotion have a positive and significant effect on Customer Satisfaction, the Service Quality and Promotion variables have a positive and significant effect on Consumer Loyalty, the Service Quality variable has a positive and significant effect on Consumer Loyalty through Customer Satisfaction, and the Promotion variable has an effect positive and significant towards Customer Loyalty through Customer Satisfaction.
Balancing conservation and development for achieving land degradation neutrality
Authors: Abhishek Kumar  , Sanjay Singh  , Rahul Kumar  , Mukesh Kumar  , Komal Rani  , Joel James  
Published: October 2024

The loss of biodiversity has risen dramatically in the face of a global emergency and worsened by human activities which involves habitat destruction, pollution, and climate change. Biodiversity is essential for sustainable development, supporting ecosystem services crucial for agriculture, forestry and climate regulation. These services are threatened by biodiversity loss, which also has an impact on world cultural heritage, economic stability and human well-being. Moreover, a decline in biodiversity exacerbates the effects of climate change, undermining ecosystem resilience and making food poverty worse. Achieving Land Degradation Neutrality (LDN), a global goal to stop and reverse land degradation through sustainable land management techniques, depends on effective biodiversity protection. LDN projects aim to balance restoration efforts against deterioration in order to preserve or improve land-based natural capital. This chapter highlights the biophysical and socioeconomic factors driving land degradation, including unsustainable agricultural practices, urbanization and climate change impacts. It underscores the importance of integrated approaches that consider ecological, social and economic dimensions in achieving LDN. Principles such as respecting human rights, promoting good governance, and engaging stakeholders are critical for successful LDN implementation. This chapter emphasizes the need for global cooperation and policy reforms to mitigate biodiversity loss, combat land degradation and ensure sustainable land use practices for future generations.
Interaction of L1 attrition, language attitudes and identity in Lithuanian diaspora
Authors: Ramonienė Meilutė , Ramonaitė Jogilė Teresa 
Published: October 2024

Abstract
Researchers note that the complex process of language attrition is influenced by a plethora of multifaceted factors, among which attitudes and identity play significant roles. The aim of this paper is to analyse the way in which language attitudes and identity are related to Lithuanian L1 attrition in Lithuanian emigrant communities residing in various countries worldwide. This is achieved by studying the extralinguistic factors, such as convictions about the importance of the heritage Lithuanian language in life, feelings associated with the Lithuanian language, identification with the culture and history of the native and/or host country and the country itself. The quantitative data comes from large-scale Lithuanian diaspora surveys and is used to analyse the link between self-perceived L1 attrition, language attitudes, and identity. The analysis is illustrated by citations from the in-depth interviews that constitute the qualitative part of the data. The study’s results show that there is a correlation between the perceived Lithuanian L1 attrition and both language attitudes and identity. The language attitudes of those emigrants who perceive their L1 attrition are less positive towards the L1, and they identify less with Lithuanian culture and Lithuania when compared to those who do not perceive attrition.
Phenology of Nipaecoccus viridis (Hemiptera: Pseudococcidae) in Florida citrus groves
Authors: Olabiyi David O. , Stelinski Lukasz L. , Diepenbrock Lauren M. 
Published: October 2024

Abstract
Hibiscus mealybug, Nipaecoccus viridis (Newstead) (Hemiptera: Pseudococcidae), is an invasive pest of citrus in Florida. It causes deformation and premature abortion of developing fruit. To date, hibiscus mealybug has been reported causing damage in commercial citrus groves in central and southern regions of Florida. As a recent invader, there is no information available on the phenology of this invasive pest on citrus in Florida. We sampled hibiscus mealybug population densities in six commercial citrus groves in central Florida throughout 2021 using absolute and relative sampling techniques. Results from absolute sampling showed that hibiscus mealybug completes multiple generations per year, with three of them being clearly defined. The first (March) and second (June) generations pose the greatest threat to citrus production in Florida. Results from relative sampling showed that a corrugated cardboard band trap is an effective tool for detecting and quantifying the population density of the pest in citrus in Florida. Our results also showed that the seasonal abundance of hibiscus mealybug was not influenced by new vegetative growth of citrus trees, nor by environmental factors measured at Florida Automated Weather Network stations close to the sampling sites. This description of the seasonal phenology of hibiscus mealybug will help improve the timing and effectiveness of management efforts for controlling this invasive pest in citrus groves in Florida.
Definition of materials chemistry (IUPAC Recommendations 2024)
Authors: Drábik Milan , Macaluso Robin T. , Krivosudský Lukáš , Armelao Lidia 
Published: October 2024

Abstract
Materials chemistry is focused on the design, preparation, and understanding of innovative materials. It is an emerging area of research where definitions are not well established. This document defines the area of materials chemistry for the benefit of chemistry communities and the general public worldwide interested in this discipline. This recommendation defines the term “materials chemistry” as the “scientific discipline that designs, synthesizes, and characterizes materials, with particular interest on processing and understanding of useful or potentially useful properties displayed by the materials designed and synthesized for specific applications.”
Elemental Characteristics of Particulate Matter (PM₁₀ and PM₂.₅) from Peat Swamp Area in Kuala Pahang
Authors: Eng Hwai Ern , Teoh C.S. , Ismail F. , Abd Razak A.S. , Sulaiman S. 
Published: October 2024

Particulate matter (PM) is normally being divided into two common groups known as: the coarse fraction particle with a range of sizing from 2.5 to 10 UM (PM10–PM2.5), and the fine fraction particles with a dimension smaller than 2.5 µm (PM2.5). It is also can be defined as a sum of solid and liquid particles which suspended in the air. The contribution of particulate matter towards the air pollution from peat swamp area in Kuala Pahang can be generated from various sources such as unpaved road, vehicle, open burning and uncover soil. In fact, monsoon season also play an important role where PM can be conveyed by wind from one location to another. Air pollution has become a matter of concern over Malaysia. The objective of this survey is to determine the particular matters in the air by using Aeroqual AQM 65 which is located in Kuala Pahang, Pekan. Air Pollution Index (API) is the reading to determine the quality of air whether it suitable and safe for human being. The data is obtained from the Aeroqual AQM 65 machine starting for April 2019 till March 2020. The survey will last for 12 months to generate a reliable result. From the API gain, the government can work out with some ideal on improving the surrounding air quality in the meantime to generate different strategy to overcome the problems. According to Aeroqual AQM 65, the reading of concentration of PM10 and PM2.5 are almost the same yet the concentration of PM10 is still slightly higher than PM2.5. According to the analysis, there is a rapid increase of concentration of PM form June to September and a sharp drop from September to March due to the happening of monsoon season. When the direction of monsoon season changes, the graph tends drop because the wind tends to convey the PM away. Therefore, the reading of API of PM2.5 is higher than PM10 and the highest reading for both particular matter API is on September yet the lowest reading of API for both particular matters is on November.
The Performance of Pistia Stratiotes and Eichornia Crassipes for the Heavy Metal Removal during Backwash Water from WASRA System
Authors: Ismail Firdaus , Abdul Razak Abdul Syukor , Mohamad Termizi Ali Zainal-Abidin , Nasarudin Muhammad Amirul Syafiq , Sulaiman Suryati 
Published: October 2024

This study was conducted to determine the ability of Phytoremediation technology in treating groundwater contaminated with high heavy metal content of waste water, which is known as backwash water, using WASRA. Two types of aquatic plants have been used as agents for the treatment of wastewater; water hyacinth (Eichhornia crassipes) and water lettuce (Pistia stratiotes). To absorb heavy metals from the wastewater, two tanks were used for placing the plants. All analyses on wastewater are based on the Standard Procedures issued by American Public Health Association (APHA, 2017). The study of plant morphology is also conducted, where the study uses FESEM/EDX methods to determine the type of heavy metals found in these plant parts. These plants were divided into three parts which are leaves, stems, and roots. Based on experiments, different species of plants have the ability to remove metals at different levels of effectiveness. Thus, the two species, used as agents of phytoremediation are successful in removing heavy metals, with a removal rate of 50.79% to 88.49%. Pistia stratiotes precedes absorption rates of various heavy metals in high rates in the root part. In conclusion, phytoremediation technology has a very high potential in removing pollutants from water.
AUTHOR-CENTRIC SCIENTIFIC PAPER RECOMMENDER SYSTEM TO IMPROVE CONTENT-BASED FILTERING APPROACH
Authors: Nura Mukhtar , Adamu Hamisu Zaharaddeen 
Published: October 2024

Scholarly publications on the web are rapidly expanding, making it difficult for scholars to identify relevant study materials. Information overload makes it harder to find important material, especially for new researchers. Scholarly recommender systems solve this issue by employing recommendation techniques to assist researchers in locating appropriate literature based on their interests. Existing systems frequently rely on user profiles and public and non-public metadata, which leads to the persistent problem in scholarly recommendations called cold start. To deal with the challenges of cold start in scholarly-based recommender systems, this research suggests an improved Content-Based Filtering (CBF) approach that takes advantage of publicly available metadata, specifically the author(s) feature. The approach incorporated author(s) features into a scholarly recommender system to serve as a basis and key component for alleviating "A New Paper Cold Start Problem." The proposed approach implements the feature vectors of the metadata using the Count Vectorizer and similarity computation was performed using the Cosine Similarity formula." An experiment using a publicly available dataset shows that the suggested method surpasses the approaches previously proposed by other researchers regarding recommendation accuracy and relevancy, making it a dependable and efficient instrument for scholarly recommendation. The result also shows the effectiveness of the author(s) feature in tackling new papers in scholarly recommendation systems.
HETEROGENEOUS ENSEMBLE FEATURE SELECTION: AN ENHANCEMENT APPROACH TO MACHINE LEARNING FOR PHISHING DETECTION
Authors: Olukoya Bamidele Musiliu , Ogunleye Gabriel Opeyemi , Olabisi Patrick Olaniyi , Adegoke Adesoye Sikiru 
Published: October 2024

Presently, phishing attacks are recognized as a global pandemic, which is adversely affecting global security and causing setbacks to global economy. A successfully conducted phishing attack (cybercrime) results in devastating effects such as: bankruptcy for people and corporations, mostly leading to information and financial fatalities. In the pursuit of accurately providing solutions against phishing threats, machine learning techniques were found to be the right antidote in the detection processes. One of the most important sub-tasks in supervised ML models is feature selection as it helps to eliminate unnecessary features from the dataset without sacrificing data quality. Feature selection is a serious challenge in phishing detection and other classification tasks. The worth of the selected attributes/variables plays a key role in building powerful models and poor-quality data frustrates the process. This work explores the use of ensemble feature selection in data mining to select meaningful features. A novel feature selection technique for phishing detection is proposed, based on frequent, necessary, and correlated items. The innovative Heterogeneous Ensemble Feature Selection framework (HEFS) framework produced a new set of webpage features highly informative apart from the usual common features used for phishing detection. Two experiments were conducted in the process, and the results show that both the classical models and their ensemble versions performed amazingly well when evaluated on the baseline features compared to the component features. However, Boosted_NB recorded the highest accuracy of 0.974 (97.4%). The HEFS is highly recommended as an efficient feature selection method to detect correlated, frequent, and phishing-behaved features for machine learning-based detectors.
Large eddy simulation of passive noise reduction in subsonic jets by using chevrons
Authors: Tewari K. , Dewan A. , Narayanan V. , Dogra G. 
Published: October 2024

Chevrons are widely used passive noise reduction devices that have emerged as an significant breakthrough for aicraft industry in enabling substantial noise reduction without sacrificing thrust. However, the conventional testing of different chevron designs necessitates costly experimental facilities. This challenge can be circumvented through computational validation using CFD. Hence, this study employs a hybrid computational aeroacoustics approach to assess the viability of chevrons as a passive noise reduction technique within free subsonic jets using the commercial CFD software StarCCM+. Two sets of numerical simulations performed with and without chevrons applied at the end of the nozzle were examined. The dynamic Smagorinsky model was utilized to resolve the sub-grid scale stresses in these simulations of turbulent flows, which were run using large eddy simulation at an exit Mach number of 0.75. Using Ffowcs Williams Hawkings acoustic equations and the Fourier transform, the far-field analysis was performed on the acquired flow field to calculate the jet noise distribution in terms of the Sound Pressure Levels (SPL). The simulation results for free jets show good agreement with the published experimental data in terms of capturing the mean flow field and the acoustic levels in farfield. The simulations with chevrons show a reduction of approximately 2-3 dB in the farfield which results from a reduction in low-frequency mixing noise due to the creation of vortices in the shear layers. This result substantiates the capability of the computational aeroacoustics technique to evaluate chevron designs for effectively mitigating jet noise, particularly at high Mach numbers.
The behaviour of ternary hybrid nanofluid: Graphene oxide, Aluminium oxide, Silicon dioxide in heat transfer rate
Authors: Hanapiah F. M. , Zakaria Irnie Azlin , Makhsin S. R. , Hamzan N. 
Published: October 2024

The miniaturization in the design of the electronic system became inevitable due to the rapid advancement and development of technology. This has imposed challenges to the thermal management capability as the heat flux density has increased tremendously due to a smaller heat transfer surface. Nanofluids adoption in electronic cooling seems to be an alternative way for better heat dissipation. This research explores the feasibility of ternary hybrid nanofluids GO: Al2O3: SiO2 in water with different volume concentrations and mixture ratios in a serpentine cooling plate. In this research, 0.01% GO + Al2O3: SiO2, 0.006% GO + Al2O3: SiO2, and 0.008% GO + Al2O3: SiO2 in mixture ratios of 10:90 and 20:80 (Al2O3: SiO2) were studied. The result showed that 0.01% GO + Al2O3: SiO2 (10:90) nanofluids displayed the highest enhancement of heat transfer coefficient with 1.1 times higher as compared to the base fluid. This was then followed by 0.008% GO + Al2O3: SiO2 (10:90) and 0.006% GO + Al2O3: SiO2 (10:90) with 1.03 times and 0.87 times higher heat transfer coefficient enhancement consecutively as compared to the base fluid. In term of mixture ratios, GO in 10:90 (Al2O3: SiO2) performed better than 20:80. To assess the feasibility of adoption, the advantage ratio (AR) was conducted to measure both heat transfer enhancement and pressure drop effect. The AR analysis showed that at the lower Reynolds, Re number region, the 0.01% GO + Al2O3: SiO2 (10:90) ternary hybrid nanofluids was proven to be the most feasible due to a higher ratio of heat transfer enhancement over the pressure drop penalty.