bluuebunny/crossref_metadata_2025 huggingface dataset:
How Does Sports Participation Affects Multiple Intelligence Components? A Cross-sectional Survey among University Student-Athletes
Authors: Ullah Irfan , Muhammad Noor , Usman Khalid
Published: February 2023

The purpose of the current study was to explore how participation in sports is related to the development of an important psychological skill of multiple intelligence of university student-athletes. A cross-sectional survey research design was conducted to examine the relationship between sport participation and multiple intelligence using a sample of 409 students who participated in an Annual Sports organized by different Universities for 2020-202. Some results were not corresponding with the literature. However, participation in sports has a significant role in developing multiple intelligence (p < .05). Results showed gender was the significant predictor; female student-athletes were less likely to sports participation (p < .05). Based on these results, it can be concluded that sport played an important role in developing multiple intelligence among university student-athletes. Keeping into consideration the limitations of the study, further investigation is required to validate the findings. The current study attempted to provide practical information for a program called University Sport at Public Sector Universities, which assists students and connects them to develop their psychological skills and especially multiple intelligence.
Intelligent Model for Customer Churn Prediction using Deep Learning Optimization Algorithms
Authors:   American University in the Emirates, Dubai, UAE, Abualkishik Abedallah Zaid ,   American University in the Emirates, Dubai, UAE,   Towson University, Towson University, Maryland's University, USA, .. Rasha , Thompson William
Published: February 2023

Business intelligence (BI) mentions to the technical and procedural structure which gathers, supplies, and examines the data formed by company action. BI is a wide term that includes descriptive analytics, procedure analysis, data mining, and performance benchmarking. Customer churn is a general problem across businesses from several sectors. Companies are working always for improving their supposed quality by way of providing timely and quality service to its customer. Customer churn is developed most initial challenges which several firms were facing currently. Many churn prediction techniques and methods were presented before in literature for predicting customer churn from the domains like telecom, finance, banking, and so on. Researchers are also working on customer churn prediction (CCP) from e-commerce utilizing data mining and machine learning (ML) approaches. This manuscript focuses on the development of Stacked Deep Learning with Wind Driven Optimization based Business Intelligence for Customer Churn Prediction model. The proposed model is considered an intelligent system that applies golden sine algorithm (GSA) based feature selection approach to derive a set of features. In addition, the stacked gated recurrent unit (SGRU) model is applied for the prediction of customer churns.
On the density of S-adic integers near some projective G-varieties
Authors: Lazar Youssef
Published: February 2023

We provide some general conditions which ensure that a system of inequalities involving homogeneous polynomials with coefficients in a \(S\)-adic field has nontrivial \(S\)-integral solutions. The proofs are based on the strong approximation property for Zariski-dense subgroups and adelic geometry of numbers. We give some examples of applications for systems involving quadratic and linear forms.
Frequently oscillating families related to subharmonic functions
Authors: Glücksam Adi
Published: February 2023

The goal of this note is to extend the result bounding from below the minimal possible growth of frequently oscillating subharmonic functions to a larger class of functions that carry similar properties. We refine and find further applications for the technique presented by Jones and Makarov in their celebrated paper from 1995.
Reporte de parásitos en Corydoras Julii (Steindachner, 1906) y Corydoras punctatus (Bloch, 1794) (Siluriformes: Callichthydae) en sitios de almacenaje de peces ornamentales de la zona de Belén, Loreto-Perú
Authors: Arista Paredes Geymi Jhunior , Pizango Paima Emer Gloria , Murrieta Morey Germán Augusto
Published: February 2023

En el presente trabajo se determinaron los parásitos de Corydoras julii y Corydoras punctatus, índices parasitarios e índices de Sorensen. El trabajo se realizó entre los meses de febrero-julio del 2018 en el Laboratorio de Hidrobiología (FCB-UNAP). Se analizaron un total de 60 peces entre ambas especies (1.20 g y 1.97 g de peso y longitud de 2 cm a 4.6 cm) proporcionados por acopiadores de la zona de Belén, Loreto-Perú. Se analizaron los peces sacrificandolos con un estilete a la altura de la región cefálica hasta producir la muerte, se separaron los órganos externos e internos para ser observados en busca de parásitos los cuales se colocaron por separado en láminas portaobjetos para ser identificados. La especie Corydoras julii estuvo infectada por metacercarias del género Tylodelphys, nematodos en estadío de larvas y adultos de la especie Procamallanus (Spirocamallanus) pintoi, monogeneos a nivel de branquias del género Philocorydoras y Gyrodactylus. En Corydoras punctatus fueron encontrados metacercarias del género Tylodelphys y larvas de nematodos. En relación a Corydoras julii y Corydoras punctatus se obtuvo una prevalencia del 50% y 96.6%, con intensidades de 6735, 1250 metacercarias del género Tylodelphys respectivamente. Se obtuvo una correlación positiva en relación al factor de condición de C. punctatus con la abundancia parasitaria (p < 0.05), mientras que en Corydoras julii no se obtuvo correlación (p > 0.05). Se comparó la fauna parasitaria cualitativa y cuantitativa de ambas especies de peces obteniendo una similitud del 57% y 35% respectivamente.
Estimation of reference evapotranspiration using artificial neural network models for semi-arid region of Haryana
Authors: RAM NARESH  , MUKESH KUMAR  , SANDEEP KUMAR  , KULDEEP SINGH  , PARMOD SHARMA
Published: February 2023

The study was conducted to evaluate performance of artificial neural network (ANN) models for estimating reference evapotranspiration (ET0) for semi-arid region of Haryana state. Ten years (2011-2020) daily weather data of maximum and minimum temperature, relative humidity, wind speed and sun shine hours was collected from the meteorological observatory at CCS HAU, Hisar. Multilayer perceptron feed forward back propagation ANN models were evaluated for different training algorithms (10), number of hidden layers (1-3) and number of neurons in hidden layers (1-30). Training algorithms compared in the study were heuristic techniques (GDA, GDX, RP), conjugate gradient (CGF, CGP, CGB, SCG), quasi-Newton (BFG, OSS) and Levenberg-Marquardt (LM). Results were compared against standard FAO Penman-Monteith method. The study revealed that best performance for ANN was found with LM algorithm in single layer of 13 neurons exhibiting RMSE, R, ME and RPD values 0.306, 0.986, 0.976 and 6.63, respectively.  ANN models showed good performance in prediction of reference evapotranspiration.
Evaluation of research articles published in the Journal of Agrometeorology (1999-2022)
Authors: VYAS PANDEY
Published: February 2023

This article evaluates the research papers published in the Journal of Agrometeorology which started in 1999 as a six-monthly publication appearing in June and December and become a quarterly publication appearing in March, June, September and December in 2017. Initially, the journal was being printed on A5 size paper which was switched over to international A4 size glossy paper in 2008. In addition to the regular issues, the special issues of the journal were also brought out from the selected papers of seminars/symposia organized by the Association of Agrometeorologists from time to time. For evaluation, only the articles published in the regular issues of the journal were considered. The articles published in the special issues have been excluded in the analysis.
Out of 1353 articles published in the journal during the period of evaluation (1999–2022), 931 articles were published as research articles, including editorials, and the rest (422) were as short communications. Only 56 articles were contributed by the foreign authors. Among the centers, the highest contribution of articles was from New Delhi (113 articles) followed by Ludhiana (100), Anand (93), Hyderabad (72) and Hisar (51). State wise, the maximum number of articles were from Gujarat (166) followed by Punjab (159), New Delhi (113) and Maharashtra (98). Qualitatively, the number of articles on crop-weather relationship studies (206) were the highest followed by articles on agroclimatic analysis (172). The introduction of online system has not only increased the visibility of the journal globally, but also saved the time in processing the articles. The acceptance rate of articles is only 20 per cent. The impact factor of journal is increasing since 2008, and is expected to increase further due to higher citations enabled by the online system.
Influence of protective forest belts on snow accumulation in agricultural landscapes
Authors: ANASTASIA KULIK  , OLEG GORDIENKO  , MAXIM SHAIFULLIN
Published: February 2023

In semi-arid climate conditions, where farming is complicated by a lack of atmospheric moisture, the preservation of snow in an agroforest landscape serves as an additional source of moisture for the growth and development of tree and shrub vegetation. The paper investigates the role of forest belts of a combined structure on the characteristics of snow deposition depending on different patterns of shrub placement (along the top edge, along the lower edge, on both sides). The results of the conducted snow surveys show that experimental sites with shrubs along the top edge are characterized by the highest level of snow accumulation both in the forest belt and in the adjacent field. The snow-retaining function in the forest belt zone is weaker in the presence of shrubs on both sides. It has been established that the values of snow density increase with approaching the forest stand. The highest values were recorded in the forest belt with shrubs along the top edge (up to 0.5 g cm-3). The accumulation of snow and its density eventually affected the amount of snow reserves. The highest values of snow reserves were observed in the forest belt with shrubs along the top edge with a row width of up to 1 m. This contributed to the accumulation of 82-203 mm of snow in the forest belt area (at 43 mm of snowfall). Shrub placement along the lower edge provoked a loss of moisture in the forest belt itself, which made this pattern ineffective. The results obtained can be applied in the design of protective forest belts in the areas with insufficient moisture.
Pakistan and Central Asian Republics: Cooperation and Opportunities -Trade and Energy corridors
Authors: Zurdinov Abai
Published: February 2023

After the collapse of the Soviet Union, natural resource-rich Central Asia, located in the heart of Asia, became an arena of struggle for sphere of influence between global and regional players, the competition between which continues and affects the security situation in Central Asia. The purpose of this report is to identify the main problems and prospects of cooperation between Pakistan and Central Asia, including in the context of the current dynamics of the situation in Afghanistan. The following methods were used in the research of this topic: systemic, historical, comparative, and interdisciplinary approaches. The report examines the Pakistani factor and its peculiarities in Central Asia. An attempt was made to assess the Pakistani factor in Central Asia, the drivers of its policy and its changing role in recent years. The advantages and disadvantages of Pakistan in building its policy toward the countries of the Central Asian region are analyzed. Particular attention is paid to energy and transport-logistics cooperation between Islamabad and Central Asian countries.
Geo-Politics of Afghanistan under Taliban Regime:
Authors: Saud Adam , Khan Muaz Ullah
Published: February 2023

Abstract

            Taliban seized power in Kabul on 15th August 2021 after the abrupt pulling out of US and NATO forces from Afghanistan. Taliban assured international community about the human rights protection, women education, freedom of media, and no use of Afghan soil by terrorists against any other country. These assurances appraised international community not to oppose their regime. However, after more than a year has passed, future of Afghanistan is still uncertain. This study tries to analyse the geo-politics of Afghanistan after the fall of Kabul to Taliban. It tries to explore the reasons for non-confrontationist policies by the neighboring states as well as regional powers. Qualitative methodology with secondary sources has been used in this research. Findings of the research reveal that despite assurances by Taliban regime, Afghanistan is gradually plunging into the similar situation of 1990s. However, from regional integration perspective, there are high hopes that it can act as bridge between Central and South Asia and China with the Persian Gulf. Regional countries must contribute for the peace and development of Afghanistan by supporting the people of Afghanistan to decide their future. Afghanistan can either be a roundabout or a dead end street for the regional states that depends on the region’s policies towards it.
Prohibition on Opium Poppy Cultivation in Afghanistan:
Authors: Khan Taimur Azam
Published: February 2023

Afghanistan is home to the largest illicit drug industry in the world. The depth, influence, and impact of its narco-economy remain unparalleled. Illicit drug production has become a dominant feature of Afghanistan’s landscape. The opium economy is pervasive and deeply entrenched. Afghanistan's opium economy has become the source of security rather than the state. Therefore, the degree of dependence on the opium economy has thus become unprecedented in the modern history of drug production. The dependence means any immediate attempt toward opium poppy prohibition/eradication will result in political and socioeconomic crises not only in Afghanistan but the transit states in the region as well. In context of narco-economy, this paper expostulate that the construction of security in traditional and nontraditional discourse are linear, i.e. detached from reality or suffers from moralistic constraint, and therefore, needs to be revisited in line with ground reality of Afghanistan and transit states at large. Deviating from conventional literature on drug-security nexus, the paper argues that a complete prohibition of poppy cultivation in Afghanistan is by far a larger security concern than its retention. This research paper, therefore, takes a cursory examination of the security implications and challenges that may ensue as a result of a diminished production capacity of Afghanistan’s opium economy either experienced through complete prohibition, eradication programs or through natural calamity.
Metaphor Used by the US as a Lethal Weapon of Mass Destruction against the Other for Pursuing Ulterior Motives
Authors: Khan Siraj , Khan Arif
Published: February 2023

To get access to the resources-rich central Asian states and to nip in the bud the state of Afghanistan, that had proclaimed itself under the Taliban regime to be a state run solely under the ideology and system of Islam- the next threat to The US after the socialism-the US, after the 9/11 incident, took resource to using the linguistic weapon of metaphor before and along the surgical strikes and managed to beset the thoughts of every individual on the globe. It was successfully used as a justification to approve finances from the US Parliament for mongering an uncalled for war, to enlist moral support of its citizens by means of instilling fear in them, to elicit active financial and personnel support of its European allies and to silence the international community from raising its voice against the attack. It is the domain of cognitive linguistic where  these  conceptual metaphor, or cognitive metaphor, are used to the understanding of one idea, or conceptual domain, in terms of another. This study focused on identifying the conceptual metaphors used in the War on Terror discourse for influencing opinion against the enemy and dehumanizing it. Metaphors are used in the conceptual domain of covering the false ideas of the US and influencing the world to manipulate and pursue their ulterior motives. There actual motive was to get the justified war on terror as legal and the only source of getting away with it. They influenced the world with their justified war on terror policy and gained their motives.
Pakistan's Trade Opportunities and Challenges with CARs:
Authors: Khan Umar
Published: February 2023

Pakistan, Turkmenistan, and Kazakhstan are struggling from lack of trade diversification and post COVID-19 economic woes. These issues can be addressed via regional cooperation and expansion into each other's markets. Pakistan’s new geo-economics ambition and efforts to reach out to Central Asian Republics (CARs) is gaining momentum, with Gwadar port being touted as the go to port for CARs. Pakistan has a lot to offer these countries in terms of being a reliable source of imports, as well as being the closest outlet for their ocean trade. Presently, issue of access via unstable Afghanistan remains a major challenge, which has been a regular point of academic discussion. However, there hasn't been much discourse on the challenges and opportunities that await Pakistan, once stability in Afghanistan is regained and physical access issues between CARs and Pakistan are resolved. This work employs limited quantitative analysis to examine trade potential and proposes practical solutions to barriers to trade that must be addressed if these countries wish to be more than pawns in the New Great Game.
Detecting High-risk Area for Lumpy Skin Disease in Cattle Using Deep Learning Feature
Authors: GENEMO Musa
Published: February 2023

Cattle’s lumpy skin disease is a viral disease that transmits by blood-feeding insects like mosquitoes. The disease mostly affects animals that have not previously been exposed to the virus. Cattle lumpy skin disease impacts milk, beef, and national and international livestock trade. Traditional lumpy skin disease diagnosis is very difficult due to, the lack of materials, experts, and time-consuming. Due to this, it is crucial to use deep learning algorithms with the ability to classify the disease with high accuracy performance results. Therefore, Deep learning-based segmentation and classification are proposed for disease segmentation and classification by using deep features. For this, 10 layers of Convolutional Neural Networks have been chosen. The developed framework is initially trained on a collected Cattle’s lumpy Skin Disease (CLSD) dataset. The features are extracted from input images; hence the color of the skin is very important to identify the affected area during disease representation we used a color histogram. This segmented area of affected skin color is used for feature extraction by a deep pre-trained CNN. Then the generated result is converted into a binary using a threshold. The Extreme learning machine (ELM) classifier is used for classification. The classification performance of the proposed methodology achieved an accuracy of 0.9012% on CLSD To prove the effectiveness of the proposed methods, we present a comparison with the state-of-the-art techniques.
Prediction of Water Quality with Ensemble Learning Algorithms
Authors: ALJARAH Fatin , ÇETİN Aydın
Published: February 2023

As monitoring and control of the quality of the water is one of the most important issues in the world since only 74% of the world's population use safely managed water where the water is treated well to reach the minimum limit of safety and quality standards. For observation of the water potability and to take immediate actions to improve the water quality, real-time monitoring and classification process are required. However, monitoring and controlling the quality of the water is not an easy task since it has many requirements such as the collection and analysis of data and measures to be taken. In this paper, we focus on applying machine learning for evaluation of the water quality. We have chosen five ensemble learning algorithms namely, Adaptive Boosting, Random Forest, Extra trees classifier, Gradient Boosting, and Stacking Classifier to evaluate their classification performances in defining the water quality. Results reveal that the Stacking Classifier has the highest performance among the five classifiers that we have studied.
DIFERENCIAIS SALARIAIS DOS TRABALHADORES DOS SUBSETORES AGRÍCOLAS E HETEROGENEIDADE NÃO OBSERVADA: UMA ANÁLISE PARA O NORDESTE BRASILEIRO
Authors: Silva Everlândia de Souza , Silva Adelson Santos , Rocha Roberta de Moraes
Published: February 2023

Este trabalho analisa o diferencial salarial dos trabalhadores do setor agrícola do Nordeste a um nível desagregado de modo a considerar as subdivisões dentro deste próprio setor, avaliando suas peculiaridades. A determinação do diferencial salarial será analisada pela perspectiva das características observadas e não observadas. Para tanto, foram estimadas equações mincerianas, por MQO e Efeitos Fixos, considerando a correção de viés de seleção através do procedimento de Heckman, a partir da base de dados longitudinais da RAIS-MTE para o período de 2005 à 2009. Os resultados mostram que os trabalhadores dos subsetores da Pecuária, Exploração Florestal, Pesca e Aquicultura, Atividades e Serviços e os Outros subsetores são piores remunerados com relação aos trabalhadores da agricultura, apenas os trabalhadores do subsetor da Silvicultura apresentam um diferencial positivo. Todavia, com o controle das características não observadas dos trabalhadores o diferencial salarial apresenta uma alteração significativa, em todos os subsetores considerados. As características não observadas e habilidades dos trabalhadores determinam os diferenciais salariais dos trabalhadores dos subsetores da Pecuária, da Pesca e Aquicultura e os Outros subsetores de forma negativa (no sentido que contribuem para uma pior remuneração), todavia, as características dos trabalhadores da Exploração Florestal são favoráveis para as atividades desempenhadas.
Pobreza multidimensional no período 2016-2019: perfil, evolução temporal, relação entre suas dimensões e discrepâncias regionais no Brasil
Authors: Wiron José Saraiva Matos  , Vinícius de Oliveira Pinto  , De Sousa Abreu Soares Laís de Sousa Abreu Soares , Teixeira Evandro Camargos
Published: February 2023

O objetivo do presente estudo consiste em mensurar a pobreza multidimensional no Brasil, levando em consideração seu perfil, evolução temporal, a relação entre suas dimensões e sua distribuição entre as macrorregiões brasileiras. Para tal, utilizaram-se os microdados da Pesquisa Nacional por Amostra de Domicílios Contínua (PNADC) referente ao período 2016-2019 em sua primeira entrevista. Em termos metodológicos, foi utilizada a técnica multivariada de Análise Fatorial com o intuito de calcular os índices e subíndices sintéticos de pobreza multidimensional a nível familiar. Como principais resultados, destaca-se a prevalência em grupos mais vulneráveis, a redução da pobreza multidimensional no período 2016-2018 com elevação em 2019, o baixo nível de correlação entre as dimensões que a compõem, assim como a constatação de que o fenômeno acomete primordialmente as famílias residentes nas zonas rurais das regiões Norte e Nordeste do país.
Globalização Regional: Desenvolvimento de um índice multidimensional para o Brasil
Authors: Campos Lediany Freitas de , Marques Cavalcante Anderson Tadeu , Furlan Antigo Mariangela
Published: February 2023

Este estudo tem por objetivo explorar o caráter multidimensional e regional da globalização no Brasil. Para alcançar tal objetivo, foi desenvolvido um Índice Regional de Globalização (IRG) que abrange os estados brasileiros, para o período de 2001 a 2014, e engloba as dimensões econômica, social, cultural e política. Pode-se constatar que características além da abertura comercial, sobretudo, aspectos sociais, como imigração e turismo, são relevantes para mensurar a integração internacional dos estados, e que há assimetrias regionais a serem tratadas. De acordo com o IRG, houve aumento da globalização regional no período analisado, mas desigualdades históricas persistem: os estados mais globalizados são os pertencentes às regiões Sudeste e Sul, enquanto estados das regiões Nordeste e Norte são os menos globalizados.
Pembelajaran Sejarah Kebudayaan Islam (SKI) Integratif di MTsN Padang Panjang
Authors: Roza Yanti Mulia , S. Iman Asroa B. , Wahyuni Nurul , Andani Kurnia Fitri
Published: February 2023

This study aims to describe the learning process of Islamic Cultural History (SKI) in an integrative manner and the problems found in the SKI learning process at MTsN Padang Panjang. This research was conducted using a qualitative method with data collection techniques in the form of observation by observing the SKI learning process at MTsN Padang Panjang, interviews with SKI teachers and several students, and carrying out teaching practices to see students' responses to the integration learning that the researchers did. The data collection technique used was found that the Integrative SKI learning at MTsN Padang Panjang had been implemented, although not optimally. The integration carried out in learning SKI at MTsN Padang Panjang with character values and exemplary values in students. The results of the teaching practice obtained data that in general students were interested and quite understanding of the integrative SKI learning that the researchers did. From this research, it can be said that SKI learning in general has been integrated with character and value education for students.
Implementasi Standar Akuntansi Pemerintah Berbasis Akrual Terhadap Kualitas Penyajian Laporan Keuangan
Authors: Rosana Lina , Bharata Risma Wira
Published: February 2023

Tujuan dari penelitian ini untuk menganalisis pengaruh implementasi PP Nomor 71 Tahun 2010 mengenai Standar Akuntansi Pemerintahan (SAP) berbasis akrual terhadap kualitas penyajian laporan keuangan. Penelitian ini menggunakan metode library research atau kajian pustaka. Adapun penelitian ini bermanfaat untuk memperluas pengetahuan masyarakat ataupun SKPD dalam mengetahui apakah SAP berpengaruh terhadap kualitas penyajian laporan keuangan serta apakah penerapan dari PP Nomor 71 Tahun 2010 telah terlaksana pada proses penyajian laporan keuangan pemerintah. Penelitian ini memberikan kesimpulan subjektif mengenai implementasi SAP berbasis akrual pada laporan keuangan dari peneliti terdahulu, yang membuktikan bahwa SAP sangat mempengaruhi kualitas penyajian laporan keuangan pemerintah. Namun untuk penerapan PP Nomor 71 Tahun 2010 mengenai SAP berbasis akrual belum sepenuhnya diterapkan dalam proses penyajian laporan keuangan, baik itu di pemerintah daerah ataupun pemerintah pusat. Karena terdapat beberapa kendala seperti kesiapan SDM, tata Kelola pemerintahan, dan kendala lainnya. Namun tetap terdapat strategi tertentu untuk mengatasi kendala tersebut.
Substrate Inhibition Kinetics Models for Fitting the Growth Rate of Phenol by an Immobilized Pseudomonas putida
Authors: Uba Garba , Yakasai Hafeez Muhammad , Abubakar Aisami
Published: February 2023

Phenol, in particular, is one of several dangerous synthetic compounds created by humans. There were more than 80,000 chemicals produced in the US for industrial use, and many of these are phenol and phenolic compounds that end up in the environment without being subjected to adequate safety assessment. There are several types of bacteria that may use phenol as a carbon source, making bioremediation of this dangerous material a promising possibility. We found that at very high concentrations of phenol, the growth rate of Pseudomonas putida NAUN-16 was significantly slowed down. The primary growth model modified Gompertz was utilized to obtain the growth parameter specific growth rate. In this study, we continue the work by further modelling the effect of substrate or phenol on the growth rate of the bacterium using several substrate inhibition kinetic models such as Monod, Haldane, Teissier, Aiba, Yano and Koga, Han and Levenspiel, Luong, Moser, Webb and Hinshelwood. The resultant fittings show appreciable fitting with the exception of the Monod model. The Teissier model, as opposed to the more widely used Haldane model, better suited the growth rate data at different concentrations of phenol as judged by the results of the RMSE, AICc, adjustedR2, F-test, and bias and accuracy factor. The designated values of the Teissier constants were maximal reduction rate, half saturation constant for maximal reduction and half inhibition constant which are symbolized by max, Ks and Ki were 0.150 1/hr (95% confidence interval 0.120 to 0.180), 162.19 mg/L (95% C.I.55.58 to 268.79) and 1291.94 mg/L (95% C.I. 1067.24 to 1516.65), respectively. The value generated from curve fitting interpolation should not be taken as the actual value and it should be warned of this as the true mumax should be where the gradient for the slope is zero and in this case the value was approximately 0.097 1/h at 385 mg/L phenol.
A Two-Level Factorial Design for Screening Factors that Influence the Growth of Pseudomonas sp. Strain Dry135 on Acrylamide
Authors: Rahman M.F.A. , Khayat Mohd Ezuan , Abubakar Aisami , Yakasai Hafeez Muhammad , Shukor Mohd Yunus
Published: February 2023

Polyacrylamide is one of the most important sources of acrylamide in soil because it degrades into acrylamide over time. The breakdown of acrylamide by bacteria has experienced a steady but consistent increase in interest all over the world as a bioremediation technique. In this investigation, a previously obtained molybdenum-reducing bacterium with amide-degrading capabilities was found on critical parameters leading to optimum growth on acrylamide utilizing a two-level factorial design. The two-level factorial design was used in the screening of five independent parameters impacting the bacterium's growth on acrylamide. These variables include pH, temperature, incubation period, acrylamide concentration, and ammonium sulphate concentration. The two-factor factorial design was successful in identifying major contributing parameters in the growth of this bacterium on acrylamide, which were acrylamide concentration, pH, and incubation time (p<0.05), which can be further optimized using RSM in future research. ANOVA, Pareto's chart, pertubation's plot, and other diagnostic plots were used to analyze the significant contributing components or parameters. Diagnostic plots such as half-normal, Cook's distance, residual vs runs, leverage vs runs, Box-Cox, DFFITS, and DFBETAS all supported the two-level factorial result. The acrylamide range used in this study was well within the range reported to being tolerated by the majority of acrylamide-degrading bacteria. Incubation time is an expected finding because longer incubation time allows for higher growth, and incubation time ranging from two to five days for optimized growth has been documented in numerous acrylamide-degrading bacteria. Most acrylamide-degrading microorganisms grow well in near-neutral environments, and the results obtained in this investigation are consistent with published literature trends.
Glyphosate Biodegradation by Molybdenum-Reducing Pseudomonas sp.
Authors: Aliyu Fatima Ibrahim , Ibrahim Aminu , Babandi Abba , Shehu Dayabbu , Ya'u Murtala , Babagana Kamaluddeen , Ibrahim Salihu , Abdullahi Nasiru , Safiyanu Aminu Jibril , Yakasai Hafeez Muhammad
Published: February 2023

Bioremediation of pollutants, such as herbicides, is an economic and environmentally friendly process. Glyphosate is an active ingredient in most herbicides utilized for weed control and desiccation on cereal and other grain crops globally. Glyphosate pollution poses a threat to the environment and the habitats in it. In this study, an isolated molybdenum-reducing bacterium was characterized for its potential to degrade glyphosate and utilized as the sole source of carbon and electron donor. The effects of incubation time, glyphosate concentration (carbon source), inoculum size, pH, temperature, aeration and heavy metals on the growth of this bacterium were spectrophotometrically assayed as OD600 nm. The bacterium degrades glyphosate faster under shaking conditions, optimally at pH 7.0, concentration 1.0 g/L, temperature 40 ºC, and inoculum size 400 µL. Growth of this bacterium was significantly inhibited by heavy metals in the order of Cu>Zn>Pb>Hg>Ag>Fe compared to the control. Glyphosate can serve as an electron donor source in hexavalent molybdenum reduction, but poorly supports molybdenum blue (Mo-blue) production compared to glucose. The dual role of this isolate as a metal reducer and glyphosate degrader makes it unique already and an important instrument for the bioremediation of mixed pollutants.
Modelling the Kinetics of Tartrazine Sorption by Bottom Ash
Authors: Yasid Nur Adeela , Basirun Ain Aqilah , Marbawi Hartinie
Published: February 2023

Bottom ash is the solid residue left over from municipal waste combustion or incineration in a Municipal Waste Incineration Furnace. Its use as a sorption agent, particularly for dye sorption, is a new and important application. Linearized adsorption kinetics has drawbacks such as inaccurate representation of the parameters' 95 percent confidence interval output, unbalanced attention to potential outliers, and magnification of errors may result in inaccurate parameter values. In this study, we used nonlinear regression to investigate 16 adsorption kinetics models of tartrazine by bottom ash. The pseudo-second order was the best model based on the Bias and Accuracy factor near unity, but based on other error function analysis, this model performs equally well with the exponential and fractal-like pseudo-second order based other error functions such as Root-Mean-Square Error (RMSE), adjusted coefficient of determination (adjR2), Marquardt’s percent standard deviation (MPSD), Bayesian Information Criterion (BIC), Hannan-Quinn Information Criterion (HQC), and especially the corrected Akaike Information Criterion (AICc) function as the absolute difference is 5 absolute unit making discriminatory activity difficult. Furthermore, because the pseudo-second order and exponential models have only two parameters, they are less complicated according to Occam's razor. Because the pseudo-second order model is more popular and has more applications than the less well-known exponential model, we chose it as the best model for tartrazine sorption to bottom ash. Kinetic analysis using the PSO model gave a value of equilibrium adsorption capacity, qe of 21.88 mg g-1 (95% confidence interval (C.I.), 20.93 to 22.84) and k2 (g/(mg.sec)) of 0.00002 (95%, C.I., 0.00001 to 0.00002).
Biodegradation of Used Engine Oil by Pseudomonas sp. Isolated from an Automobile Workshop’s Soil
Authors: Muhammad Abubakar , Adamu Faggo Abdullahi
Published: February 2023

Environmental pollution caused by used engine oil has been on the increase as a result of accidental or deliberate discharge of the oil. Used engine oil is relatively recalcitrant to biodegradation due to the high concentrations of metals from the wear and tear of engine parts. Several physical and chemical methods were employed for the remediation of used engine oil-contaminated soil, but bioremediation remains the most economical especially in remediating polluted soils. Therefore, this work aimed to isolate and screen efficient used engine oil-degrading bacteria from serval automobile workshops located at Gadau town, Itas Gadau, Bauchi state, Nigeria. Soil samples were collected from three different locations and were used to isolate, and screen used engine oil-degrading bacteria. The best degrader was Pseudomonas sp. with 82% degradation of 1% (v/v) of used engine oil after 5 days of aerobic incubation. The result further indicated that degradation occurs best at 1% (v/v) and no degradation was recorded at 3% (v/v) of used engine oil. Pseudomonas sp. can be employed in the field remediation of used engine oil-contaminated soil.
Rainfall – Induced Landslides in Kerala, India: A General Review
Authors: Augustine Ar. Ashly
Published: February 2023

Landslides are a profoundly upsetting and devastating natural catastrophe. In comparison to previous decades, landslides have been recorded to occur significantly more frequently worldwide in this decade. The landslide susceptibility map is crucial for identifying landslide hotspots in the study area, identifying different factors/parameters that affect the landslide and critically examining their involvement in landslide occurrences. The significance of rainfall patterns in initiating landslides has been widely acknowledged. In Kerala, it may be possible to understand the geographical patterns of landslide distribution by examining the hotspots for landslides that have been found using maps of landslide susceptibility. Due to the spatial issues of precipitation, the impacts were mostly concentrated along valleys in the study area's lower part. Furthermore, well-forested hillslopes were more prone to landslides, indicating that trees have a limited role in stabilising slopes during extreme rainfall events. The study is being done in response to the landslides that occurred in the state of Kerala, India, between 2018 and 2020. The review addresses the major physical causes of landslides in common and major cause of landslide in Kerala which is Rainfall - Induced landslides. The triggering and progression of rainfall-induced landslides are also reviewed in this review article. Keywords: landslide; rainfall-induced landslide; rainfall pattern; Kerala
Pengaruh Jenis Wadah Penyimpanan dan Ukuran Biji Dalam Penyimpanan Pasca Panen Terhadap Karakteristik Fisik Biji Kopi Robusta (Coffea robusta L.)
Authors: Soraya Nadya Fairuz , Kusmanadhi Bambang , Patricia SM Susan Barbara , Savitri Dyah Ayu
Published: February 2023

Kopi (Coffea spp.) adalah salah satu komoditas perkebunan yang penting bagi Indonesia karena dapat menunjang peningkatan ekspor sebagai penghasil devisa negara. Masyarakat Indonesia adalah konsumen kopi yang sangat tinggi, sehingga peningkatan usaha produksi kopi harus dilakukan agar kebutuhan konsumsi kopi domestik serta ekspor dapat terpenuhi. Pengolahan biji kopi pascapanen tidak terlepas dari beberapa permasalahan yang ada salah satunya adalah kerusakan pada saat penyimpanan biji. Penyimpanan biji oleh petani pada dilakukan dengan memasukkan biji ke dalam karung goni dan disimpan di gudang. Beberapa praktek penyimpanan dengan menggunakan wadah yang berbeda seperti karung goni, karung plastik, dan karung kain diduga berpengaruh terhadap proses perubahan fisik biji. Penelitian ini bertujuan untuk mengetahui kualitas dari biji kopi robusta yang disimpan dengan ukuran biji dan bahan wadah yang berbeda. Percobaan dilakukan dengan menggunakan Rancangan Acak Lengkap (RAL) dengan tiga perlakuan dan tiga ulangan. Parameter yang diamati adalah fisik biji kopi, antara lain bentuk, warna, serta kandungan air.
ANTESEDEN CUSTOMER LOYALTY
Authors: Lestari Desi , Ganawati
Published: February 2023

The aim of this study is to determine the influence factors of e-commerce Service Quality Logistics on Customer Satisfaction and Customer Loyalty. The population in this study are Shopee e-commerce users in Bekasi. The sampling technique used was purposive sampling with 198 respondents. This type of research is quantitative research with data collection techniques distributing questionnaires via Google form using a Likert scale of 1 to 5. This research uses the Structural Equation Modeling (SEM) method through the AMOS software program to process data. The results showed that Order Accuracy had no positive effect on Customer Satisfaction, Order Condition had no positive effect on Customer Satisfaction, Timeliness had no positive effect on Customer Satisfaction, Order Discrepancy Handling had a positive effect on Customer Satisfaction, Customer Satisfaction had a positive effect on Customer Loyalty.
PENGARUH LINGKUNGAN KELUARGA, PENDIDIKAN KEWIRAUSAHAAN DAN MOTIVASI USAHA TERHADAP MINAT BERWIRAUSAHA SISWA SEKOLAH MENENGAH KEJURUAN NEGERI 2 DI KOTA JAYAPURA
Authors: Kawaitou Kornelia , Agustinus John , Thane Stevanus
Published: February 2023

Tujuan penelitian ini adalah untuk menganalisis pengaruh faktor lingkungan keluarga, pendidikan kewirausahaan dan motivasi usaha terhadap minat berwirausaha siswa Sekolah Menengah Kejuruan (SMK) Negeri 2 Kota Jayapura 2). Berdasarkan tabel di atas dapat dijelaskan bahwa statistik uji t terhadap lingkungan keluarga (X1) sebesar 3,945 dengan tingkat signifikansi sebesar 0,000.Pada variabel pendidikan kewirausahaan (X2) didapatkan statistik uji t sebesar 2,457 dengan tingkat signifikansi sebesar 0,006.Serta variabel motivasi usaha (X3) didapatkan statistik uji t sebesar 4,918 dengan tingkat signifikansi sebesar 0,000. Secara bersama-sama, variabel lingkungan keluarga, pendidikan kewirausahaan dan motivasi usaha mampu meningkatkan minat berwiausaha pada siswa Sekolah Menengah Kejuruan (SMK) Negeri 2 Kota Jayapura. Secara individu dapat diketahui bahwa motivasi usaha berpengaruh dominan terhadap minat berwiausaha pada siswa Sekolah Menengah Kejuruan (SMK) Negeri 2 Kota Jayapura dengan nilai sebesar 50,7%. Disarankan kepada pihak keluarga, agar mampu memberikan dorongan serta pandangan yang baik mengenai kewirausahaan dengan memberikan dukungan moril maupun materiil (modal usaha) dan kepada pihak sekolah sebagai pengelola pendidikan dapat memberikan bekal berupa pendidikan berwirausaha serta motivasi yang baik kepada siswa baik melalui kegiatan PRAKERIN (Praktek Kerja Industri) dan pembentukan Bursa Kerja Khusus (BKK) yang menghubungkan sekolah dengan dunia industri/dunia kerja. Dengan demikian, siswa akan memiliki bekal serta minat untuk berwirausaha setelah menyelesaikan pendidikan
PENGARUH SISTEM REKRUTMEN DAN SELEKSI TERHADAP KINERJA KARYAWAN PADA SEKTOR PERHOTELAN DI KOTA JAYAPURA
Authors: Kawaitou Selviana , Henry Syauta Jack , F. Farawowan Fauziah
Published: February 2023

Adapun tujuan penulisan ini adalah untuk mengetahui dan menganalisis pengaruh sistem rekrutmen dan seleksi terhadap kinerja karyawan pada sektor perhotelan di Kota Jayapura. Hasil analisis statistik menunjukkan bahwa uji t terhadap rekrutmen (X1) sebesar 3,018 dengan tingkat signifikansi sebesar 0,008. Nilai statistik uji thitung tersebut lebih besar dari pada ttabel (2,868 > 1,695) dengan signifikan lebih kecil daripada á = 0,05. Pada variabel seleksi (X2) didapatkan statistik uji t sebesar 2,091 dengan tingkat signifikansi sebesar 0,045. Nilai statistik uji thitung tersebut lebih besar daripada ttabel (2,091> 1,695) dan juga signifikan lebih kecil daripada á = 0,05. Secara bersama-sama, variabel Rekrutmen dan Seleksimampu meningkatkan kinerja karyawan perhotelan di Kota Jayapura.Secara individu dapat diketahui bahwa rekrutmen berpengaruh secara dominan terhadap kinerja karyawan perhotelan di Kota Jayapura.Hal ini dapat dilihat pada hasil uji parsial dengan nilai sebesar 47%.Disarankan kepada manager perusahaan khususnya yang bergerak dalam bidang perhotelan, agar dalam menerapkan metode rekrutmen mempertahankan atau lebih mengembangkan metode rekrutmen yang selama ini diterapkan.Selain itu, perekrutan karyawan juga harus dapat memberikan kesempatan kepada Orang Asli Papua untuk berkarir dan mengembangkan pengetahuannya dalam usaha perhotelan di Kota Jayapura.Kepada manager hotel, hendaknya lebih memperhatikan penempatan karyawan yang sesuai dengan kompetensi, dimana setiap karyawan yang dimiliki dapat menyelesaikan atau menangani pekerjaan.Dan pemerintah Kota Jayapura dapat memberikan sarana dan prasarana penunjang dengan menyiapkan Sekolah Menengah Kejuruan (SMK) yang handal dan memiliki kesiapan jika dihadapkan pada dunia kerja. Hal ini dapat dilakukan dengan menyediakan Balai Latihan Kerja khusus untuk siswa SMK guna meningkatkan keahlian yang dimiliki atau melalui kegiatan PRAKERIN (Praktek Kerja Industri) dan pembentukan Bursa Kerja Khusus (BKK) yang menghubungkan sekolah dengan dunia industri/dunia kerja. Dengan demikian, siswa khususnya Orang Asli Papua (OAP) akan siap dan mampu bersaing demi menunjang karir dan kesejahteraan hidupnya.
ANALISIS PENGARUH IKLAN DAN PROMOSI PENJUALAN TERHADAP KEPUTUSAN PEMBELIAN SEPEDA MOTOR HONDA BEAT
Authors: F. Pasalbessy Victor
Published: February 2023

Masalah yang mendasar dalam penelitian ini adalah adanya penurunan penjualan Honda Beat selama 2009-2011. Dimana penjualannya pada tahun 2009 sebanyak 678 unit, tahun 2010 sebanyak 409 unit, dan tahun 2011 sebanyak 307 unit. Penurunan penjualan ini menunjukkan penurunan keputusan pembelian konsumen terhadap produk sepeda motor Honda Beat. Penelitian ini bertujuan untuk mengetahui dan menganalisis iklan dan promosi penjualan berpengaruh terhadap keputusan pembelian dan untuk mengetahui dan menganalisis variabel mana diantara iklan dan promosi penjualan yang berpengaruh dominan terhadap keputusan pembelian sepeda motor Honda Beat. Dari rumusan masalah penelitian yang diajukan, maka hasil analisis yang telah dilakukan adalah sebagai berikut: Uji F membuktikan bahwa semua variabel independen (iklan dan promosi penjualan) berpengaruh positif dan signifikan terhadap keputusan pembelian, Uji t membuktikan ada pengaruh positif dan signifikan iklan terhadap keputusan pembelian sepeda motor Honda Beat di kota Jayapura. Hasil uji t membuktikan promosi penjualan berpengaruh positif dan signifikan terhadap keputusan pembelian sepeda motor Honda Beat di kota Jayapura. Hasil regresi berganda menunjukkan bahwa semua variabel independen (iklan dan promosi penjualan) berpengaruh positif dan siginifikan terhadap keputusan pembelian. Pengaruh positif terbesar terhadap keputusan pembelian adalah variabel iklan (X1). Hal ini terlihat pada nilai Koefisien Korelasi sebesar 8,556 kemudian variabel promosi penjualan (X2) yang memiliki nilai Koefisien Korelasi sebesar 5,362. Hasil koefisien determinasi menunjukkan bahwa iklan dan promosi penjualan berpengaruh terhadap keputusan pembelian dengan nilai Adjusted R Square sebesar 53,9% sedangkan 46,1% dipengaruhi oleh variabel-variabel lain yang diteliti dalam penelitian ini.
Pengelolaan Pendapatan Terhadap Konsumsi Dan Tabungan Keluarga Nelayan Di Hamadi Pantai Jayapura
Authors: Heluka Elius
Published: February 2023

Pengelolaan Pendapatan Terhadap Konsumsi dan Tabungan Keluarga Nelayan di Hamadi Pantai Jayapura. Tujuan dari penelitian ini yaitu menganalisis Pengelolaan Pendapatan terhadap Konsumsi dan Tabungan Keluarga Nelayan Pantai Hamadi dan menganalisis pendapatan Nelayan dalam Tabungan Keluarga tentang potensi ikan merah, ekor kuning terhadap pengelolaan pendapatan Keluarga Nelayan. Penelitian dilaksanakan di Hamadi pantai Provinsi Papua, pada bulan Mei 2014 sampai Juli 2015. Analisa data dilakukan secara tabulasi. Analisa tabulasi dilakukan untuk melihat pendapatan perbulan, konsumsi perbulan dan tabungan dari keluarga Nelayan Hamadi Rawa 2 Kelurahan Hamadi Pantai Jayapura. Analisa statistik yang digunakan adalah regresi linier berganda yang digunakan untuk mengukur hubungan antara Pendapatan, Konsumsi dan Tabungan Keluarga Nelayan di Hamadi Rawa 2 Kelurahan Hamadi Pantai Jayapura. Berdasarkan penelitian dan pengelolaan pendapatan diketahui bahwa angsuran yang relatif rendah tetapi tidak ada peningkatan pengelolaan pendapatan terhadap hasil yang diperoleh oleh mereka atau keluarga nelayan. Sehingga mereka hanya mencari dan pendapatan mereka digunakan habis untuk memenuhi kebutuhan sehari-hari mereka