bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of NPK and plant population density on the growth, flowering and corm yield of Gladiolus grandiflora Cv. H. B. Pitt
Authors:   Dept of Horticulture Marathwada Agricultuarl University Parbhani 431 402, K.S DESWALI , V.K PATIL ,   Dept of Horticulture Marathwada Agricultuarl University Parbhani 431 402, K.W ANSERWADEKAR ,   Dept of Horticulture Marathwada Agricultuarl University Parbhani 431 402
Published: September 2023

Most effective nutritional dose with respect to the height of gladiolus plant was N (50 kg N/ha). P. and K (50 kg K2O/ha). The number of florets/spike increased significantly with the increase in N application. Application of P and K also showed significantly superior effect. Wider spaced plants (45x30 cm) produced significantly more number of florets/spike. Number of flerets on hectare basis increased with the increasing level of N. Significantly greater number of florets was recorded with 50kg P2O5/ha. Interaction of N and spacing was significant, Per hectare data on weight of corm indicated signicant influence of N, K and closer spacing (30x30 cm). Weight of corms on hectare basis increased with increasing level of N. The optimum levels of fertilizer and spacing based on the results of this experiment are 100 kg N. 50 kg P.0 and 50 kg K2O per hectare and spacing of 30x30 cm.
Impact of Package of Practices on the Production Potential and Economic Returns of Upland Cotton Under Nimar Conditions
Authors:   Agronomist All India Coordinated Cotton Improvement Project  JNKVV Campus Indore 452 001, S.C JAIN , H.C JAIN ,   Asst Agronomist JNKVV Agril Research Farm MP
Published: September 2023

Field studies over three years conducted to determine the impact of package of practices on the production potential and economic returns of upland cotton under Nimar conditions of Madhya Pradesh indicated that under low input technology fertilizer and planting pattern form an integral part of rainfed cultivation. Among the two inputs. the fertilizer and plant protection, the former appeared to be an unavoidable and more economic constraint to boost up the seed cotton yields, Improved package of practices had always an edge over the conventional practices, irrespective of the varieties grown, Re-arrenging cotton plantation in skip or paired row alongwith other inputs accelerated the cost-benefit ratio from 55 p. to Rs. 1, 07 or Rs. 1, 21 rospectively for every rupes spent. Ridging and furrowing at each interculture and tyeing of ridges at 60-70 days provided extra monetary returns.
Incidence of Patulin in Scented Supari
Authors:   Department of Food Science and Nutrition,TNAU, Coimbatore, S NEELAKANTAN , R BALASARASWATHI ,   Department of Food Science and Nutrition,TNAU, Coimbatore, BALASUBRAMANIAN THEYMOL ,   Department of Food Science and Nutrition,TNAU, Coimbatore, G INDIRAJASMIN ,   Department of Food Science and Nutrition,TNAU, Coimbatore
Published: September 2023

During 'e survey of foods and feed for mycotoxin patulin was found as a natural senteminant in a sample of scenten super. The implications of mycotoxin contamination in foods are discussed.
Amantes do Passado: Educação, ciências humanas e espacialidades históricas - Volume 2
Authors: Almeida Angelita de Oliveira , Bissacotti Cíntia , Robaert Damaris Wehrmann , Lima Danilo Morais , Tinoco Denise Lima , Ferreira Fabrício , Gomes Francisca Cibele da Silva , Passos Gabrielle Silva Gonçalves , Sousa Juliana Veras de , Silva Julinho da , Sobral Luciana Onety da Gama , Sousa Junior Manuel Alves de , Oliveira Maria de Lourdes Alves de , Brasil Maria Margarete Salvate , Freitas Narciso Passos de , Nunes Neuza Maria de Siqueira , Ribeiro Rondinele Aparecido , Oliveira Rony de , Robaert Samuel , Pavão Sílvia Maria de Oliveira , Liartes Thayná
Published: September 2023

A obra Amantes do Passado: Educação, temporalidades e espacialidades históricas propõe refletir sobre as construções historiográficas, teóricas e práticas, adentrando no campo da docente no ensino de História, com intersecções elaboradas por pesquisadores e professores de diversas regiões do Brasil que se propuseram a expor suas pesquisas e experiências de ofício para somar a uma obra com múltiplas temáticas que se entrelaçam como subjetividades, análises da sociedade e suas relações com a produção da História, propondo possibilidades interpretativas acerca do passado, da vivência dos sujeitos em seus tempos e dos contextos.
No decorrer das páginas desta obra, os leitores poderão encontrar trabalhos de grande riqueza e variedade em temas, recursos, objetivos e resultados, que se somaram à empreitada e ao desejo de enriquecer o debate historiográfico e produzir novas problematizações e intervenções. Pesquisas que abrem espaços para discorrer sobre as realidades escolares, diferentes temporalidades até os dias atuais. Esperamos que essas riquezas de debates críticos possam vir a somar na ampliação do conhecimento histórico e se tornem ferramentas que colaboraram com a tarefa de interpretar o espaço social, investigando mulheres, homens, jovens, crianças e idosos que viveram em determinado período, ou ainda vivem e que contribuíram com construção da História.
Depicting classroom social climate: Using drawings to examine primary students’ perceptions of geometry teaching and learning practices
Authors: Kuzle Ana , Glasnović Gracin Dubravka , Krišto Ana
Published: September 2023

Climate conducive to learning is one of criteria of good teaching. Even though current pedagogies argue for contemporary type of instruction, mathematics instruction may still be dominated by traditional type of instruction. The present study examined participant-produced drawings of 250 primary grade students regarding geometry teaching and learning practices. Not only different aspects of traditional type of instruction, such as the teacher standing in front of the classroom and delivering the content while students sit at their desks and passively listen to the teacher with little student-student communication were reported, but also some aspects typical for contemporary type of instruction, such as learning through teacher-student discussions, and the use of teaching materials and tools. Still, the aspects of traditional type of instruction prevailed. The results offer potential opportunities for reconsidering the current teacher education as well as policy that would reflect the teaching practices conducive to contemporary geometry instruction.
Factores psicosociales de riesgo en las organizaciones
Authors: Mirón Juárez Carlos Alberto , Mercado Ibarra Santa Magdalena , García Hernández Claudia
Published: September 2023

Esta obra pretende fungir como recurso de consulta para estudiantes y profesionales de psicología en el ámbito organizacional. Su enfoque central radica en el reconocimiento, la identificación y el abordaje de la problemática relacionada con los factores de riesgo psicosocial en el trabajo, utilizando criterios objetivos y científicos. La obra proporciona informes empíricos y análisis de estudios relacionados con esta temática en diversos entornos laborales, abarcando sectores como la salud, la educación, la industria, el comercio y la construcción. Esta diversidad de ámbitos se aborda debido a las diferencias y desafíos particulares en lo que respecta a la salud laboral.
MODELLING EARTHQUAKE DISASTER DAMAGE DUE DEPTH OF EPICENTER AND MAGNITUDE USING SPATIAL REGRESSION
Authors: Primananda Dhea Laksmita Arsya , Muhajir Muhammad
Published: September 2023

East Java Province is geographically close to the Eurasian and Indo-Australian Plate subduction zones, resulting in frequent earthquakes East Java Province has a high population density, so it is very risky if disaster occurs. One preventive solution to reduce this impact is estimating damage when an earthquake occurs. The purpose of this study was to determine the best modeling of damages due to earthquakes in East Java Province, using the amount of house damage as a response variable, while depth of the epicenter and the strength of the earthquake as predictor variables. It is suspected that there is a spatial dependency effect in this case, so the solution is to use regression with an area approach, namely the Spatial Durbin Model (SDM). The amount of house damage is collected from BNPB, the epicenter and the magnitude of earthquake collected from BMKG in 2021. The result shows that SDM is good at explaining the dependency relationship between response and predictor variables. The significant predictor variables are the depth of epicenter and the strength of the earthquake. It is meaning that the magnitude and the depth of the epicenter of the earthquake in an area have an impact on other adjacent areas. There is a relationship between the amount of house damage in one area and other adjacent areas. The Regency will have a high number of damaged houses if it is adjacent to a Regency that has a high number of damaged houses
CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA
Authors: Saragih Anita , Sukanda Dian Cahyawati , Eliyati Ning
Published: September 2023

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).
MODEL OF TRANSMISSION COVID-19 USING SIQRD MODEL WITH THE EFFECT OF VACCINATION IN MATARAM
Authors: Febryantika Annisa Zaen , Marwan Marwan , Awalushaumi Lailia , Syechah Bulqis Nebulla
Published: September 2023

Mathematical modeling is considered an effective tool for analyzing real-life problems. In this research, we analyze the dynamics of the COVID-19 spread in Mataram city using the SIQRD model with influence of the vaccination. The analyze based on varying some parameter values of the model i.e the transmission rate (β), the recovery rate for COVID-19 (γ), and the death rate (δ), before and after vaccination respectively. Our chosen methodology involves parameter estimation using the Euler method. The result shows that the model has an endemic equilibrium point which remains stable before and after vaccination. Furthermore, the basic reproduction number (R0) which states the number of secondary cases that occur if there are infected people in a population, has the value more than 1 before the vaccination, but equal to 1 after the vaccination. This suggests that prior to COVID-19 vaccination, infected individuals could potentially infect more than one person, but after vaccination, each infected person tends to only infect one other individual. This shift is attributed to the subsidence of COVID-19 symptoms following vaccination
THE EXISTENCE OF SOLUTION OF GENERALIZED EIGENPROBLEM IN INTERVAL MAX-PLUS ALGEBRA
Authors: Siswanto Siswanto
Published: September 2023

An eigenproblem of a matrix  is  where  and . Vector  and    are eigenvector and eigenvalue, respectively. General form of eigenvalue problem is  with , . Interval maks-plus algebra is  and  equipped with a maximum (  and plus   operations. The set of  matrices which its component elements of  is called matrices over interval max-plus algebra and denoted by . Let , eigenproblem in interval max-plus algebra is  with  and . Vector  and  are eigenvector and eigenvalue, respectively. In this research, we will discuss the generalization of the eigenproblem in interval max-plus algebra. Especially about the existence of solution of generalized eigenproblem in interval max-plus algebra. Keywords: interval max-plus algebra, generalized eigenproblem, the existence of the solution.
COMPARISON BETWEEN VALUE AT RISK AND ADJUSTED EXPECTED SHORTFALL: A NUMERICAL ANALYSIS
Authors: Trimono Trimono , Maruddani Di Asih
Published: September 2023

Loss risk is one of the variable that always appears in every kind of investment. On stock asset investments, the characteristics of the risk of loss is uncertain, this means that losses can occur at any time with a value that cannot be determined certainly. From this condition, investors must manage the loss risk appropriately in order to retain investment stability and get optimal profits. One of the important processes in risk management is loss risk forecast. Risk forecast can be done using risk measures. In stock investment, Value at Risk (VaR) is the most widely used risk measure because has a simple model and can be applied to many types of stocks. However, VaR does not satisfy the axiom of subadditivity, thus VaR is not a coherent risk measure. Another risk measure that is coherent and can be used as an alternative to predict loss risk is the Adjusted-Expected Shortfall (Adj-ES). This study aims to compare VaR and Adj-ES through numerical analysis and backtesting test. So we can get reference to conclude the best risk measure for predicting losses on stock investments. The data used in this study are 2022 IDX blue chip i. e EXCL.JK and ICBP.JK from 09/01/21 to 09/09/22. Based on the backtesting test, the violation ratio value for Adj-ES in every violation probability is less than 1 is less than 1. Then, for VaR at 1% violation probability, the violation ratio value is > 1.
TRANSFER FUNCTION AND ARIMA MODEL FOR FORECASTING BI RATE IN INDONESIA
Authors: Khikmah Khusnia Nurul , Sadik Kusman , Indahwati Indahwati
Published: September 2023

Fluctuating gold prices can have an impact on various sectors of the economy. Some of the impacts of rising and falling gold prices are inflation, currency exchange rates, and the value of the Bank Indonesia benchmark interest rate (BI Rate). The data was taken from the Indonesian Central Statistics Agency's official website (BPS) for the Bank Indonesia benchmark interest rate (BI Rate) value. Therefore, research on the value of the Bank Indonesia benchmark interest rate (BI Rate) is essential with the gold price as a control. The purpose of this study is to forecast the value of the Bank Indonesia reference interest rate (BI Rate) with a transfer function model where the input variable used is the price of gold and forecast the value of the Bank Indonesia benchmark interest rate (BI Rate) with the ARIMA model. The analysis results show that the best model for forecasting the Bank Indonesia reference interest rate (BI Rate) is a transfer function model with a value of , , , and a noise series model  with the MAPE value is
SOME PROPERTIES ON COPRIME GRAPH OF GENERALIZED QUATERNION GROUPS
Authors: Munandar Arif
Published: September 2023

A coprime graph is a representation of finite groups on graphs by defining the vertex graph as an element in a group and two vertices adjacent to each other's if and only if the order of the two elements is coprime. In this research, we discuss the generalized Quaternion group and its properties. Then we discuss the properties of the coprime graph over the generalized Quaternion group by looking at its Eulerian, Hamiltonian, and Planarity sides. In general, the coprime graphs of the generalized quaternion group are not Eulerian, not Hamilton, and not planar graphs. The coprime graph of the generalized quaternion group  is a planar graph if  for a natural number .
THE APPLICATION OF DISCRETE HIDDEN MARKOV MODEL ON CROSSES OF DIPLOID PLANT
Authors: Hayati Nahrul , Setiawaty Berlian , Purnaba I Gusti Putu
Published: September 2023

The hidden Markov model consists of a pair of an unobserved Markov chain {Xk} and an observation process {Yk}. In this research, the crosses of diploid plant apply the model. The Markov chain {Xk} represents genetic structure, which is genotype of the kth generation of an organism. The observation process  represents the appearance or the observed trait, which is the phenotype of the  generation of an organism. Since it is unlikely to observe the genetic structure directly, the Hidden Markov model can be used to model pairs of events and unobservable their causes. Forming the model requires the use of the theory of heredity from Mendel. This model can be used to explain the characteristic of true breeding on crosses of diploid plants. The more traits crossed, the smaller probability of plants having a dominant phenotype in that period. Monohybrid, dihybrid, and trihybrid crosses have a dominant phenotype probability of 99% in the seventh, eighth, and ninth generations, with the condition of previous generations having a dominant phenotype. But in seventh generation, monohybrid crosses only have the probability of an optimal genotype of 50%, dihybrid crosses have a probability of an optimal genotype of 25% in the eighth generation, and trihybrid crosses have a probability of an optimal genotype of 12.5% in the ninth generation
CLASSIFICATION OF TODDLER’S NUTRITIONAL STATUS USING THE ROUGH SET ALGORITHM
Authors: Rahmi Izzati , Wulandari Yana , Yozza Hazmira , Syafwan Mahdhivan
Published: September 2023

The health and nutrition of children at the age of five are very important aspects in the children’s growth and development. An assessment of the nutritional status of toddlers that is commonly used is anthropometry. This study aims to obtain the decision rules used to classify toddlers into nutritional status groups using the rough set algorithm and determine the level of classification accuracy of the resulting decision rules. The index used in this study is the weight-for-age index. Attributes used in this study were the mother’s education level, mother’s level of knowledge, the status of exclusive breastfeeding, history of illness in the last month, and nutritional status of toddlers. The results of the analysis show that there are 21 decision rules. In this study, the resulting decision rules experience inconsistencies. The selection of decision rules that experience inconsistencies is based on each decision rule’s highest strength value.  The rough set algorithm can be used for the classification process with an accuracy rate of 86.36%.
COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA
Authors: Suantari Ni Gusti Ayu Putu Puteri , Fitrianto Anwar , Sartono Bagus
Published: September 2023

Survival analysis is a statistical procedure in analyzing data with the response variable is time until an event occurs (time-to-event). In the last few years, many classification approaches have been developed in machine learning, but only a few considered the presence of time-to-event variable. Random Survival Forest and Survival Support Vector Machine are machine learning approach which is a nonparametric classification method when dealing with large data and a response variable of survival time. Random Survival Forest is tree based method that using boostrapping algorithm, and Survival Support Vector Machine using hybrid approaches between regression and ranking constrain. The data used in this study is generated data in the form of right-censored survival data. This study uses the RandomForestSRC and SurvivalSVM packages on R software. This study aimed to compare the performance of the Survival Support Vector Machine and Random Survival Forest methods using simulation studies. Simulation results on right-censored survival data using binary predictor variables scenario indicate that the Survival Support Vector Machine (SSVM) method with Radial Basic Function Kernel (RBF Kernel) has the best model performance on data with small volumes, whereas when the data volume becomes larger, the method that has the best performance is Survival Support Vector Machine using Additive Kernel. Meanwhile, Random Survival Forest is a method that has the best performance for all conditions in mixed predictor variables scenario. Method, proportion of censored data and size of data are factors that affect the model performance.
ANALYSIS OF NEW CHAOTIC MAP AND PERFORMANCE EVALUATION IN ITS APPLICATION TO DIGITAL COLOR IMAGE ENCRYPTION
Authors: Solihat Ita Mar'atu , MT Suryadi , Satria Yudi
Published: September 2023

In this research a new chaotic map which is a modification from composition of MS map and Improved logistics map is proposed. New map’s chaotic behavior is proven by the bifurcation diagram and Lyapunov exponent. This map will be used in chaos-based cryptography as a keystream generator and then it will be processed in the encryption and decryption algorithms through XOR operations. The results of the encryption and decryption processes were evaluated by several tests such as key sensitivity analysis, histogram analysis, correlation analysis, and image quality analysis. All the tests are doing to evaluate the performance new chaotic map in encryption of digital color image. Based on the results of several tests, a conclusion can be drawn that the encryption and decryption process is successful and difficult to attack with various kinds of attacks. The key that built from new chaotic map has a good sensitivity.
CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY
Authors: Nur Indah Manfaati , Nugrahanto Rifqi , Fauzi Fatkhurokhman
Published: September 2023

Cryptocurrency is a virtual payment instrument currently popular as an investment alternative. One type of cryptocurrency widely used as an investment is Bitcoin due to its high-profit potential and risk due to unstable exchange rate fluctuations. This high exchange rate fluctuation makes trading transactions in the crypto market speculative and highly volatile. To overcome this volatility factor, this research used the Generalized Autoregressive Conditional Heteroscedasticity forecasting method to describe the heteroscedasticity factor, as well as a Recurrent Neural Network (RNN) with long-short-term memory that has feedback in modeling sequential data for time series analysis. The two methods are combined to overcome the dependency of time series data in the long term and the heteroscedastic effect of the volatility of price changes. The results of the GARCH-LSTM hybrid model in this study show a Mean Absolute Percentage Error (MAPE) value of 15.69%. The accuracy value is obtained from the division of training data by 80% and testing data by 20%, with the number of neurons as many as three and epochs of 100 using the Adam optimizer. The MAPE accuracy results show a good prediction in predicting the value.
PERFORMANCE COMPARISON OF K-MEDOIDS AND DENSITY BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE USING SILHOUETTE COEFFICIENT TEST
Authors: Akbar Taufiq , Tinungki Georgina Maria , Siswanto Siswanto
Published: September 2023

Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test. However, the presence of outliers in the data can affect the grouping results, so methods that are robust to outliers are used, such as K-Medoids and Density-Based Spatial Clustering of Applications with Noise. The purpose of this study is to compare the results and performance of the two methods using the silhouette coefficient test on data on human development indicators in South Sulawesi Province in 2021. The results of the analysis show that K-Medoids produced 2 groups, namely the districts/cities group which has indicators of human development that consist of 21 districts/cities, and the high group, which consists of 3 districts/cities, while Density-Based Spatial Clustering of Application with Noise produces 1 group that has the same characteristics, which consists of 19 districts/cities, and the remaining 5 districts/cities are identified as noise. Based on the silhouette coefficient test, K-Medoids have a greater value than Density-Based Spatial Clustering of Application with Noise, namely 0,635 and 0,544, respectively, so that K-Medoids have better performance.
SUGAR DEMAND FORECASTING IN PT XYZ WITH WINQSB SOFTWARE
Authors: Wibowo Astrid Wahyu Adventri , Maimunah Fitri
Published: September 2023

PT XYZ is a manufacturing company engaged in the production of sugar and its by-products. Currently, the determination of the amount of production at PT XYZ has not been adjusted to meet customer demand, which may continue to decrease or increase for each period. If there is a condition that the amount of production is greater than demand, it will increase the cost of storage due to accumulation. Meanwhile, if the amount of production is smaller than demand, there will be an out-of-stock condition that can reduce consumer confidence. These problems can be solved by forecasting Tambora Sugar demand at PT XYZ to meet consumer demand using the forecasting method (forecasting) with the help of WinQsb software with input, namely sugar demand data from 2021 PT SMS. The request data will later be analyzed from the request using a scatter diagram. Furthermore, after the pattern is known, the appropriate forecasting method will be determined and inputted into the WinQsb software. Based on the calculation results, it is known that the demand pattern from last year tends to trend down so the chosen method is the Double Exponential Smoothing (DES), Single Exponential Smoothing (SES), and Linear Regression (LR) method, with the best method being Linear Regression which produces the smallest error. The output is in the form of a Master Production Schedule (MPS), namely in the 13th to 18th periods, respectively 2142; 1757; 1373; 989; 604; 220 sacks.
SEIR MODEL SIMULATION WITH PART OF INFECTED MOSQUITO EGGS
Authors: Mangobi James Uriel Livingstone
Published: September 2023

Dengue hemorrhagic fever (DHF) is an acute febrile disease caused by the dengue virus, which is transmitted by various species of Aedes mosquitoes. The SEIR model is a mathematical model for studying the spread of dengue fever. In this model, it is assumed that some mosquito eggs have been infected because infected mosquitoes can transmit the virus to their eggs. The main vector of this disease is the Aedes albopictus mosquito. Analysis was carried out to assess the stability of the equilibrium point, and numerical simulations were carried out to see changes in population numbers due to changes in parameter values. A disease-free equilibrium (DFE) point, which is stable given the basic reproductive number . An endemic point whose stability is guaranteed if the value . The numerical simulations show that an increasing mosquito mortality rate decreases the number of exposed, susceptible humans. Furthermore, an increase in the average bite of an infected mosquito will increase the number of exposed, susceptible humans. For the mosquito population, increasing mosquitoes’ mortality rate will decrease the number of exposed, susceptible mosquitoes. Finally, an increase in the average bite of an infected mosquito will increase the number of exposed, susceptible mosquitoes.
MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA
Authors: Meylisah Eni , Rini Dyah Setyo , Fransiska Herlin , Agwil Winalia , Sartono Bagus
Published: September 2023

When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses that can be used is Clusterwise Linear Regression (CLR). Therefore, this study aimed to determine the poverty rate modeling in Indonesia with the CLR method. The results showed that the best model is with 3 clusters, that for cluster 1, the factors that significantly affect the percentage of poverty are the percentage of electricity users , the number of small and micro industries and the number of tourist villages n cluster 2, the amount of village tours . In cluster 3, the percentage of users of electricity and the percentage of villages that have mining and quarrying .
NON HIERARCHICAL K-MEANS ANALYSIS TO CLUSTERING PRIORITY DISTRIBUTION OF FUEL SUBSIDIES IN INDONESIA
Authors: Astuti Ani Budi , Guci Abdi Negara , Alim Viky Iqbal Azizul , Azizah Laila Nur , Putri Meirida Karisma , Ngabu Wigbertus
Published: September 2023

The growth rate of inflation in Indonesia continues to increase from day to day. The inflation rate in Indonesia reached 1.17% in September 2022 which is the highest inflation rate in the last seven years. One of the causes of high inflation is caused by the increasing demand for motor vehicle fuel. Therefore, there is a need for appropriate action from the government in determining related policies. K-Means multivariate cluster analysis is a non-hierarchical cluster method that is popularly used, one of which is used in Machine Learning algorithms, especially Unsupervised Learning. The purpose of this research is to clustering that are priority distribution of subsidies in Indonesia based on the characteristics formed. The data in this study consist of the percentage of poverty, the percentage of total transportation, the percentage of transportation use, and the percentage of area. Data were analyzed using multivariate cluster analysis with the K-Means method. Based on the research results, information was obtained that the data fulfilled a representative sample with value of KMO >50%. In addition, there are 4 optimal clusters which are the results of the calculation of the Elbow and Silhoutte methods, so 4 provincial clusters are formed with their respective characteristics. Cluster 1 is a province that is highly prioritized to receive fuel subsidies, Cluster 2 is a province that is not highly prioritized for fuel subsidies, Cluster 3 is a province that is prioritized to receive fuel subsidies, and Cluster 4 is a province that is not prioritized to receive fuel subsidies.
DYNAMICS OF A SIRV MODEL FOR THE SPREAD OF COVID-19 IN MALUKU PROVINCE
Authors: Sapulette Nona Tjie , Lesnussa Yopi Andry , Rijoly Monalissa E
Published: September 2023

COVID-19 (Coronavirus Disease 2019) is caused by the SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) coronavirus spreading around the world. In this study, the SIRV model was used, which is an epidemic model carried out by grouping the population into four subpopulations, namely the subpopulation of susceptible individuals who can be infected (Susceptible), the subpopulation of infected individuals (Infected), the subpopulation of individuals who recover from illness (Recovered), and the subpopulation of individuals who have been vaccinated (Vaccination). Based on the dynamic system analysis conducted, two equilibrium points were obtained, namely the disease-free equilibrium point and the endemic equilibrium point. In addition, based on data processing and model simulation results obtained,  was obtained so that it can be concluded that the higher the number of vaccinated populations, the lower the level of Covid-19 spread, which means that vaccines can suppress cases of Covid-19 spread in Maluku Province
ON THE GIRTH, INDEPENDENCE NUMBER, AND WIENER INDEX OF COPRIME GRAPH OF DIHEDRAL GROUP
Authors: Bawana Agista Surya , Sutjijana Aluysius , Susanti Yeni
Published: September 2023

The coprime graph of a finite group , denoted by , is a graph with vertex set  such that two distinct vertices  and  are adjacent if and only if their orders are coprime, i.e.,  where |x| is the order of x. In this paper, we complete the form of the coprime graph of a dihedral group that was given by previous research and it has been proved that  if , for some  and  if . Moreover, we prove that if  is even, then the independence number of  is , where  is the greatest odd divisor of  and if  is odd, then the independence number of  is . Furthermore, the Wiener index of coprime graph of dihedral group has been stated here.
RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA
Authors: Riski Abduh , Haqqi Wakhidatun Nafi’u , Kamsyakawuni Ahmad
Published: September 2023

Rainfall is very influential in daily life, including in agriculture. According to the Jember Regency Government, the majority of the economic activities of the Jember people come from the agricultural sector. Significant changes in rainfall conditions will adversely affect the agricultural sphere. The Water Resources Office of Jember Regency measures rainfall directly. Precipitation measurement can also be made indirectly using the Global Satellite Mapping of Precipitation (GSMaP), a project promoted by the Japan Aerospace Exploration Agency (JAXA) to produce rainfall accumulation globally. Rainfall predictions are urgently needed to address rainfall-related issues. The Adaptive Neuro-Fuzzy Inference System (ANFIS) method is an effective method for prediction because its working principle combines adaptive methods of artificial neural networks and fuzzy logic. The RMSE in the ANFIS training and testing process on daily rainfall was 12.7464 and 14.6268. Furthermore, RMSE in ANFIS training and testing on monthly rainfall was 7.6336 and 8.1456. The predicted daily rainfall in Jember Regency on January 1, 2023, is 3.1971 mm. Meanwhile, the predicted monthly rainfall in Jember Regency in January 2023 is 19.9114 mm.
VALUE AT RISK ANALYSIS ON BLUE CHIP STOCKS PORTFOLIO WITH GAUSSIAN COPULA
Authors: Ardhitha Tiffany , Sulistianingsih Evy , Satyahadewi Neva
Published: September 2023

Value at Risk (VaR) is a risk measurement tool to calculate the estimated maximum investment loss with a certain confidence level and period. VaR calculations using financial data are often not normally distributed, so the copula method is used, which is flexible on the assumption of normality on stock return data. Previous research discussed Gaussian copula using stocks from the telecommunications sector. In this research, using Gaussian copula on Blue Chip stocks. Blue Chip stocks have a good reputation and have a stable growth rate so they have a lower risk. Therefore, the research objective is to analyze the VaR portfolio of Blue Chip stock with Gaussian copula. This research uses the daily stock closing prices of BBNI and BBTN from November 2, 2020 to October 27, 2022. The analysis results suggested that a VaR portfolio using Gaussian copula with a confidence level of 90%, 95%, and 99%, respectively are 2.24%, 2.88%, and 4.02%. The value shows the percentage of investment risk that may be obtained in the next one-day period. This result also indicates that the higher the confidence level, the greater the VaR.
Quality of Life of Children in Orphanages: A Study in Bamako, Mali
Authors: DEĞER Ferhat
Published: September 2023

The Republic of Mali is among the poorest countries on both the African continent and in the world. Nearly 70% of the population resides in rural areas, and 10% lead a nomadic lifestyle. Data from the African Development Bank indicates that 48% of the population is under the age of 15, 49% falls between the ages of 15 and 64, and 3% is over 65. The fertility rate stands at 7.4 births per woman. From a sociological perspective, the concept of "quality-of-life" is often likened to lifestyle. Factors such as adequate nutrition, health conditions, educational levels, and access to cultural and developmental facilities have come to be recognized as indicators of quality-of-life. This paper delves into a field study that investigated the quality-of-life of children residing in orphanages in Mali. In-depth interviews were conducted with officials from three orphanages in Bamako, Mali's capital—comprising one privately owned and two state-owned institutions. A qualitative research approach was employed. The data obtained from these interviews were digitized using the NVivo software package. This data was then organized into nodes, creating a structured relationship between the nodes and the data. Content analysis was applied to interpret the qualitative data, with emerging concepts being categorized into nodes during the coding phase. Observations made during the interviews were duly noted. Additionally, quantitative data from sources like the African Development Bank, UNDP Human Development Index, World Health Organization, and Bulletin of Statistics were integrated to reinforce the qualitative findings. Based on the accumulated data, themes were developed in alignment with the three primary indicators of quality-of-life: 1) Physical welfare and social security, 2) Life expectancy, and 3) Opportunities for personal growth and education. The study's findings reveal that, regardless of the differences between state-owned and privately-owned orphanages, the overall quality-of-life of the children is below the expected standard across all three indicators.
Leonardo Da Vinci’nin Codice Atlantico Kitabında Yer Alan Tufan Serisindeki Kıyamet Tasvirleri
Authors: GÜNGÖR Dİ SAVİNO Ayşe
Published: September 2023

Leonardo Da Vinci, 16. yüzyılın sarsıcı tarihsel koşullarından ve yaşadığı karamsarlıktan dolayı çalışmalarında yaşam ile kıyamet arasında bağlantı sağlar. Yapmış olduğu çalışmalarda dünyanın sonunu açıklayan ve Vahiylerdeki kehanetlerde gizlenen bölümleri yaşamla doğa ile birlikte yorumlar. Bu çalışma ile kıyamet kavramından yola çıkarak Leonardo Da Vinci’nin Codice Atlantico kitabında yer alan Tufan (Diluvio) serisindeki en çarpıcı dört örnek çalışması bilimsel, tarihsel-kültürel yönleriyle incelenmesi amaçlanmıştır. Bunun yanı sıra yaşadığı dönemin diğer sanatçılarından farklı bir bakış açısına sahip olması nedeniyle çalışma yöntemi ve içeriksel yaklaşımı hakkında bir araştırmadır. Bu seride, sanatçı zamanının kültürel evrenine ait sembolleri kullanmasının yanı sıra dini kavramlar ve inançları da kullandığı gözlemlenir. İnsanlığın ve dünyanın sonu olan kıyameti, bu bakış açısı ile ciddi bir dille anlatır. Kıyamet günü oluşabilecek felaketlerin çizimlerini fırtına, sel, girdap gibi doğa olayları ile betimler. Sanatçı, estetik açıdan doğanın yaratıcı ruhuna yönelerek "imge" oluşturur ancak bilimden, tarihi bilgilerden ve doğadan elde ettiği bulgulardan yararlanarak çalışmalarını saf sanat estetiğine indirgemez. Bu bağlamda sanatçının çağdaş sanat eseri olarak kabul edilebilecek çalışmaları özneler ve nesneler arasındaki karşılıklı ilişkilere dayanır. Dolayısıyla yaşamın metabolik süreçlerini ve karmaşık dinamiğini sistemik bir yorumunu sunar. Ayrıca dinamik düşünme biçimini de kullanan yenilikçi yaklaşımıyla bilimsel içerikleri mecazi bir şekilde ifade eder. Yani imgelerle düşündürür. Yaşamın tüm biçimlerine karşı farkındalığa sahip yaklaşımı ile bütüncül vizyonda tüm bunları birleştirir. Çalışmalarında doğa ait imajları tahakküm altına almak yerine iç dengelere dayanan bir model ve bir rehber olarak okunan doğanın gözlemlerine dayandırır. Böylece doğal süreçler, bilimsel ve sanatsal olarak metodolojik bir paradigma haline gelir. Çağdaş sanat eseri olarak değerlendirebileceğimiz bu çalışmaları; farklı bilgi biçimlerinin sentezini amaçlayan disiplinler arası tutumu, çok dilli yaklaşımı ve eleştirel bakış açısı ile oluşturduğu görülür.
Yunus Emre, Ahmedî ve Kadı Burhaneddin Divanlarında “Vatan” Mefhumu
Authors: ÇELİK Ramazan
Published: September 2023

Kelimeler, kullanıldığı zaman dilimindeki toplumun zihniyetini yansıtır. O toplumun dünyaya, hayata, insana bakışını ifade eder. Bununla beraber insanların ve toplumların diğerlerine göre daha fazla önem atfettikleri kimi kutsal kelime ve kavramlar vardır. Din, vatan, millet, hürriyet, bayrak, ezan bunlardan bazılarıdır. Özellikle “vatan” mefhumu, zaman içerisinde kullanıldığı muhtelif anlamlarla ayrı bir önem kazanmıştır. Tasavvufta, sosyolojide ve siyasette birbirinden farklı anlam ilişkileri içinde kullanılan “vatan”, uğruna canlar feda edilebilecek yüce bir değerdir. “Vatan sevgisi imandandır.” sözü etrafında şekillenen bu kutsiyet, hayatın her alanında olduğu gibi edebî eserlerde de görülür. Özellikle şiirlerde bu kelimenin kullanım alan ve anlamları dönemlere göre de farklılıklar arz etmektedir. Dilimize Arapçadan giren “vatan” kelimesine ilk olarak 13. yy. edebî metinlerinde rastlanmaktadır. İslami dönem Türk şiirinin ilk örneklerinde genellikle ahiret ya da sevgilinin yaşadığı yer gibi daha çok soyut anlamlarıyla kullanılan “vatan” kelimesi; zamanla anlam genişlemesine uğramış ve toprak, memleket, insanın doğduğu yer, aynı dil ve inanca mensup insanların yaşadığı muhit, bir milletin yaşadığı coğrafyanın tamamını kapsayan toprak parçası gibi yeni ve somut anlamlar da kazanmıştır. Kelimenin bugünkü anlamı kazanmasında, Tanzimat’la başlayan her alandaki yenileşme süreci etkili olmuştur. Bu çalışmada “vatan” kelimesi ve bağlantılı kavramlar olan “yurt, memleket, memalik, mülk, diyar, il, şar” kelimelerinin 13 ve 14. yy. şiirindeki yansımaları ve anlamları üzerinde durulmaya çalışılmıştır. Öncelikle “vatan” mefhumunun günümüzdeki kullanımı, Tanzimat, Millî Edebiyat ve Cumhuriyet Dönemi şairlerimizin bu kavramı şiirlerinde ele alış biçimleri, divan şiiri ve tasavvuf kültüründe kelimenin anlamları irdelenmiştir. Daha sonra Türk İslam edebiyatının ilk dönem eserleri olarak telakki edilebilecek olan Yunus Emre, Ahmedî ve Kadı Burhaneddin’in eserlerinde “vatan” mefhumunun nasıl ve hangi manalarda kullanıldığı, eserlerdeki şiir örnekleriyle incelenmeye çalışılmıştır. Bu vesile ile İslami edebiyatın ilk eserlerinden günümüze, “vatan” mefhumunun anlam seyrine bir kapı aralanması amaçlanmıştır.
Kur’an’ı Tercüme Etmiş Olan Mühtedi Hanımlar
Authors: AYDAR Hidayet
Published: September 2023

Kadınların Kur’an eksenli çalışmaları Hz. Peygamber döneminden itibaren söz konusudur. Hz. Aişe ile başlatabileceğimiz tefsir çalışmaları yirminci yüzyılın son çeyreğinden itibaren bu alanda çalışma yapan yeni hanımlarla devam etmiştir. Günümüzde Kur’an’ı tefsir eden hanımların sayısında önemli bir artış söz konusudur. Kur’an tercümesi yapan hanımlara gelince, ondokuzuncu asrın ortalarında bir hanımın Kur’an’ı tercüme ettiğine şahit oluyoruz. Yirminci yüzyılın ortalarından itibaren –tefsir yapan hanımların sayısı gibi- Kur’an’ı tercüme eden hanımların sayısı da artmıştır. Bugün muhtelif ülkelerde Kur’an’ı tercüme faaliyeti içinde bulunan sayıları dikkat çekecek kadar çok hanım bulunmaktadır. Çalışmada bu hanımlardan ihtida ederek Müslüman olanlar ve yapmış oldukları tercümeler üzerinde durulmaktadır. Allah’ın hidayet nasip ettiği bu kadınlar muhtelif milletlere mensupturlar. Aralarında Rus, Amerikalı, İngiliz, Macar veya başka ülkelerden olanlar vardır. Bunların Kur’an’la tanışmaları farklı farklı olduğu gibi her birinin ihtida hikayesi de kendine özgüdür. Daha önce yayımlanan bir çalışmada Müslüman bir ailede doğup İslâmî bir çevre içinde büyüyen hanımların yapmış olduğu Kur’an tercümeleri işlenmiş idi. Burada ondan farklı olarak daha önce Müslüman değilken sonra İslam’la şereflenen hanımlar ve onların tercümeleri ele alınmaktadır. Kur’an’ı tercüme ettiği halde Müslüman olmayan hanımlar da vardır. İhtida etmiş hanımlar ile gayrimüslim hanımların yapmış oldukları Kur’an tercümelerine tek bir çalışmada yer vermek, makalenin sınırlarını aşacağından gayrimüslim hanımların Kur’an tercümelerini başka bir çalışmada incelemek düşüncesindeyiz. Burada yalnızca Kur’an’ı tercüme ettiğini tespit edebildiğimiz mühtedi Müslüman hanımların hayatları ve tercümeleri hakkında kısa bazı bilgiler verilmekte; tercüme yöntemlerine işaret edilmektedir. Ayrıca tercümelerinin kaynakları, çevrelerinde ve genel olarak Müslüman kamuoyunda meydana getirdikleri etkiler; bunlara dair oluşan tepkiler de beyan edilmektedir. Tercümelerinin muhtevası ve yaptıkları çevirilere dair örnekler üzerinde –makalenin hacmini büyüteceğinden- yoğunlaşılmamaktadır. Bununla birlikte bazı tercümelerden birkaç örnek verilmektedir. Bu hanımları Kur’an tercüme etmeye sürükleyen saiklere de değinilmektedir. Kur’an’ı tercüme eden mühtedi hanımların bir kısmı bunu tek başına yapmışken, bazıları da ortaklaşa yapmışlardır. Çalışmada bu noktaya da dikkat çekilmekte ve hanımların bu tercümelerdeki payları tespit edilmeye çalışılmaktadır. Mühtedi hanımlardan bazıları Kur’an’ın tamamını çevirirken bir kısmı da Kur’an’ın bazı cüzlerini, bazı surelerini, hatta seçilmiş bazı ayetlerini tercüme etmeyi tercih etmişlerdir. Burada sadece Kur’an’ın tamamını tercüme etmiş olanlar üzerinde durulmaktadır. Çalışmada sıralama, tercümelerin yapıldığı tarihe göre kronolojik olarak verilmektedir.
Öğretmen Adaylarının Akademik Erteleme Davranışlarının Farklı Kişisel Değişkenlere Göre İncelenmesi: Ahi Evran Üniversitesi İslami İlimler Fakültesi Örneği
Authors: GÜNGÖR Ali
Published: September 2023

Zaman yönetiminde başarılı olamayan insanların işlerini erteleme eğiliminde oldukları söylenebilir. Erteleme davranışı öğrenme ortamında öğrenci başarısını olumsuz etkileyen önemli faktörlerden birisidir. Genel olarak erteleme, görevleri gereksiz yere ve kişide rahatsızlık oluşturacak şekilde geciktirme eylemi olarak tanımlanmaktadır. Erteleme davranışı için farklı sınıflandırılmalar yapılmaktadır. Bu sınıflamalardan birisi de akademik ertelemedir. Akademik erteleme eğilimde olan yükseköğretim öğrencilerinin akademik başarıları düşmektedir. Bu araştırmanın temel amacı İslami İlimler Fakültesinde öğrenim gören öğretmen adaylarının akademik erteleme davranışlarının hangi düzeyde olduğunu tespit etmek ve bazı değişkenlere göre farklılaşma durumunu belirlemektir. Bu amacı gerçekleştirmek için tarama modeli tercih edilmiş ve nicel araştırma tekniğine uygun olarak veriler toplanmıştır. Veri toplamak ve katılımcıların akademik erteleme davranışını ölçmek üzere Ocak ve Bulut tarafından 2015 yılında geliştirilen Akademik Erteleme Davranışı Ölçeği (AEDÖ) kullanılmıştır. Ölçeğin uygulanması için ölçeği geliştiren araştırmacılardan ve ilgili üniversitenin etik kurulundan izin alınmıştır. Araştırma katılımcılarını 2022-2023 eğitim ve öğretim yılında Ahi Evran Üniversitesi İslami İlimler Fakültesinde öğrenim görmekte olan bütün sınıf düzeylerinden 231 öğretmen adayı oluşturmaktadır. Araştırma sonunda katılımcı öğretmen adaylarının akademik erteleme davranışlarının “düşük” düzeyde olduğu sonucuna ulaşılmıştır. Akademik erteleme ölçeği alt boyutları ile verilerin analizinde “Öğretmenlere İlişkin olumsuz algı” alt boyutu ortalamalarının diğerleri arasında en yüksek puana sahip olduğu ortaya çıkmıştır. Öğretmen adayları ile ilgili kişisel değişkenler açısından verilerin değerlendirilmesinde cinsiyet, öğrenim görülen sınıf düzeyi ve mezun olunan ortaöğretim çeşidi yönünden anlamlı bir fark olmadığı sonucuna ulaşılmıştır. Ancak akademik başarı, fakülteden memnuniyet durumu ve okulu tercih nedeni bakımından bazı farklılıklar olduğu ortaya çıkmıştır. Buna göre akademik başarısı yüksek, fakülteden memnun olan ve fakülteyi kendi isteği ile tercih eden öğretmen adaylarının akademik erteleme düzeyi diğerlerinden daha düşük çıkmıştır. Bu bulgular ışığında öğretmen adaylarının akademik erteleme davranışlarının azaltılması ve etkili zaman yönetimi için fakülte genelinde rehberlik faaliyetleri düzenlenebilir. Öğretim ve değerlendirme süreçlerinde motivasyon artırıcı etkinliklere yer verilmesi de akademik erteleme davranışının azaltılmasında etkili olabilir.