bluuebunny/crossref_metadata_2025 huggingface dataset:
Monthly Inflow Forecasting of Three Multi-Purpose Reservoirs
Authors: Margini Nastasia F. , Anwar Nadjadji , Wardoyo Wasis , Prastyo D. D. , Yusop Zulkifli
Published: December 2022

The need for inflow discharge forecasts is the first step in the process of integrating water management. To overcome this problem, a discharge forecasting analysis system is needed. This paper adopts a seasonal autoregressive integrated moving average forecasting analysis model, SARIMA. This method was chosen and then applied to the inflow discharge data of the Wonorejo Reservoir to obtain the best model. Determination of the best model through forecasting performance measures using the minimum Mean Square Error (MSE). The best model has an MSE of 11.79 on discharge data for 18 years from 2003 to 2020. The best forecast model is then evaluated on the Bendo Reservoir and Sampean Reservoir. The difference between this paper and others is that one model is used for three different multi-purpose reservoirs and obtains feasible results for each reservoir. Therefore, the authors conclude that the forecasting results of the SARIMA (1,0,0)(0,1,1)12 model can be applied to Wonorejo Reservoir, Bendo Reservoir, and Sampean Reservoir in East Java Province, Indonesia. The best model from the analysis process is that in the Wonorejo Reservoir, the inflow prediction is satisfactory for the next five years, the Sampean Reservoir for the next four years, and the Bendo Reservoir is the best forecast for the next three years. The results of this forecasting model can be used to analyze the optimization of multi-purpose reservoir management and reduce the risk of reservoir water shortages. Further research can be carried out to achieve extreme values in inflow discharge forecasting.
Dynamic Analysis of Soil-Structure Interaction using Ensemble-based Modified Ant Lion Optimization Algorithm
Authors: Ramaiah Ponnala , Kumar Sanjeet
Published: December 2022

In recent decades, the analysis of dynamic characteristics of Soil-Structure Interaction (SSI) has become an emerging research topic, where the SSI is defined as the structure's motion and the soil's response. The SSI is an important problem in solid and monstrous structures, which are built on delicate ground that changes the dynamic properties of the structures. The main objective of this research article is to propose an ensemble machine-learning algorithm for predicting the dynamic response and characteristics of SSI problems. After collecting the data from 57 structures, the data pre-processing is accomplished using Min-Max Normalization (MMN) and Max Normalization (MN) techniques that superiorly rescale the unstructured data for better prediction. Further, the data optimization is carried out using the Modified Ant Lion Optimization (MALO) algorithm that effectively optimizes the dimensionality of the data, where this process reduces the computational complexity and improves the prediction accuracy of dynamic characteristics in SSI modeling. Finally, the optimized data is given as the input to the ensemble classifier, which is a combination of Support Vector Machine (SVM) and ID3 for classifying the dynamic characteristics related to SSI, which are period Lengthening (PL), Super Structure Acceleration (SSA) and Pile Head Acceleration (PHA). The simulation results confirmed that the ensemble-based MALO algorithm improved performance in predicting the dynamic response and characteristics of SSI problems by error value. Whereas the proposed algorithm, on average, reduced 0.01-to-0.5 error value compared to the existing machine learning algorithms.
Bayesian Model Averaging (BMA) Based on Logistic Regression for Gene Selection and Classification of Animal Tumor Disease on Microarray Data
Authors: Kuswanto Heri , Fitriana Ika Nur Laily
Published: December 2022

Tumor is one of the deadly diseases which is frequently to be found in animals. However, identifying whether an animal has a tumor still becomes a big challenge. Classification of tumor disease can be done through gene expression, which consists of hundreds of genes, but only a small number of samples is taken. This data structure is called microarray data having the characteristic of high-dimensional data. The choice of a single model can be a problem for high-dimensional data because it ignores model uncertainty. This research proposed to use Bayesian Model Averaging (BMA) to model the uncertainty model by averaging the posterior distribution of all best models, weighted by their posterior model probabilities. Selecting relevant genes to diagnose animal tumors is very important; hence, variable selection needs to be carried out. The selection of predictor variables is carried out by using the iterative BMA algorithm. The BMA results showed that from 335 gene expressions, 12 genes were selected to be relevant genes for classifying whether the animals have a tumor or normal. Moreover, from 2335 possible models formed, 12 of the best models are selected. The accuracy of BMA results is assessed using the Brier Score, resulting from a value indicating that the BMA model is good enough to classify animals, whether they have a tumor or not. This research has proven that BMA with logistic performance has very good predictability; hence, the method can be applied to classify other diseases.
Estimating the Occurrence Rate for Alpha-Series Process in Rayleigh Distribution
Authors: Taha Aya Mahmood , Sulaiman Muthanna Subhi
Published: December 2022

The geometric process is sometimes appropriate for reliability and scheduling problems. Some previous studies suggested a possible alternative process that is alpha-series as to the geometric process when it decreases with time, as the decreasing geometric process shows that the expected number of events at an arbitrary time does not exist. In contrast, the expected number of events of the alpha-series process (ASP) exists at an arbitrary time under some conditions. In this paper, we assumed that the first arrival followed the Rayleigh distribution (RD). The modified moment estimator was proposed to estimate the alpha-series process parameters in the Rayleigh distribution and compare it with the maximum likelihood estimators. A simulation was conducted to compare the two estimators. The real-data application of intervals between successive failures of the Mosul Dam power station in Nineveh governorate in Iraq is provided to illustrate the results. When the initial occurrence time distribution is indicated to be RD, an estimate of the occurrence rate of an ASP is investigated in this study. Estimators are generated using modified moment (MM), and maximum likelihood (ML) approaches. According to the simulation study's findings, the MM estimator outperforms the ML estimator. In all cases, ASP with RD provides better data than the renewal process (RP) in real data sets. A test statistic has been devised to determine if the data conforms to an ASP.
The Kumaraswamy Distribution: Statistical Properties and Application
Authors: Badra Duraid Hussein , Mohammed Alyaa Hashem
Published: December 2022

Modeling and analyzing lifetime data is an important aspect of statistical work in various scientific and technological fields such as medicine, engineering, insurance, and finance. The modeling and analysis of lifetimes is an important aspect of statistical work in various scientific and technological fields. In recent years, inverted Kumaraswamy distribution has been used quite effectively to model many lifetime data. The most broadly applied statistical distribution is Kumaraswamy distribution in hydrological problems and many natural phenomena. The Kumaraswamy distribution (KD) is widely applied for modeling data in practical domains, such as medicine, engineering, economics, and physics. The present work proposes the Bayesian estimators of KD parameters through the use of type-II censoring data in this research the problem to estimate the unknown parameters of Kumaraswamy distribution with two parameters Î¸ and Î», these estimates are a maximum likelihood of ordered observation and the Bayesian for the parameter of the Kumaraswamy distribution (KUD) depended on ranked set sampling (RSS) techniques. Both the simulated are inserted into real-life data sets and are considered to make a comparison between the estimation based on Maximum Likelihood estimators and Bayesian Estimation methods based on (RSS) techniques. For comparison purposes, we employed (100) mean square error and the criteria like AICC (Akaike information corrected criterion). Finally, the importance and flexibility of the new model of real data set are proved empirically.
Study of the Causative Factors of El-Ghandouri Landslides and their Stabilization Methods
Authors: Al Qadami Basheer Sharaf , Oujidi Mostafa , Ejjaouani Houssine , Azougay Abdellah , Marrakchi Yassin El
Published: December 2022

Tangier landslides are considered a common engineering problem throughout the construction of different roads or other engineering works in the north of Morocco. This research paper aims to identify the main causes of landslides in an area with an important tourist site to search for the most appropriate engineering solutions. Several geotechnical studies were carried out through boreholes up to 30 meters deep to determine the main causes of the landslides. These studies exhibit that the main reason for landslides is the presence of Layers of soil with weak mechanical properties, which are highly affected by rainfall. The limit equilibrium (LE) analysis method and finite element (FE) method was utilized to analyze the stabilities of the EL Ghandowri slopes before excavation, after excavation, and after stabilization treatment of the slopes for construction. The analysis results indicated that the EL Ghandowri slopes, before any excavation, were unstable in their natural state. The reinforced concrete piles' row with anchors and concrete piles cap were the stabilization methods, which give the best safety factor and horizontal deformation results. The soil-structure interaction method (SSIM) and finite element (FE) method were used to calculate the horizontal deformation of piles. The occurrence of EL Ghandouri landslides can be reduced if the main reason is addressed; thus, the problem of Tangier Province landslides, especially EL Ghandouri, should be given big attention throughout the survey and design of the engineering works, not only during the construction.
Mental Action Way of Understanding (WoU) and Way of Thinking (WoT) Students in Statistics Learning in Higher Education
Authors: Lukman L. , Wahyudin W. , Suryadi Didi , Dasari Dadan , Prabawanto Sufyani
Published: December 2022

This study aims to examine in depth the Mental Action Way of Understanding (WoU) and Way of Thinking (WoT) of students in learning Statistics in Higher Education and the relationship between WoU and WoT. This research is qualitative research using the Grounded Theory approach. The participants involved were 36 people in the city of Bandung, West Java, Indonesia. Validity and reliability using the Krippendorff content analysis method with the Inter-coder Agreement (ICA) test using Krippendorff alpha coefficients. The results showed that there was a significant relationship between students' mental action statistics and students' WoU and WoT in Statistical Understanding and Thinking. The relationship between WoU and WoT: (1) Studentsâ€™ WoU will build such a statistical framework. (2) Studentsâ€™ WoT affects how statistical modeling from their statistical knowledge. This relationship fits the philosophy of statistics and inductive inference. The statistical mental action of WoU students was to make models, analyze, calculate and generalize. The mental actions of Statistics students from WoT were interpreting, analyzing, predicting, reasoning, and inferring. The WoU and WoT mental action models developed the PPDC Cycle model and the Galâ€™s statistical literacy model. the PPDAC Cycle model by Wild and Pfankuch, consists of five dimensions, and one of the dimensions was the PPDAC Cycle. The statistical literacy model by Gal consists of two dimensions, namely the dimensions of statistical knowledge and disposition. The novelty of this research was developing the PPDAC Cycle statistical thinking model by Wild and Pfankuch, and the statistical literacy model on the statistical knowledge dimension by Gal. This study's results can be considered in designing statistical learning in universities and measuring students' understanding and statistical thinking skills.
Teaching Viscosity to Students with Special Needs in Vocational High Schools from Daily Products: From Literature Review on Concept, Misconception, to Teaching and Learning Process
Authors: Maryanti Rina , Hufad Achmad , Sunardi S , Nandiyanto Asep Bayu Dani
Published: December 2022

Students with special needs are students who have barriers in their developmental and academic aspects. They need a learning media that meets their needs. This study aimed to demonstrate the strategies in teaching using the experimental demonstration to students with special needs and to identify misconceptions during the teaching and learning process. To support our teaching strategies, an experimental demonstration (recorded by video as the learning media) was used. This study used an experimental method (single subject research) with A-B (Pre-test and Post-test) research design for students with special needs (i.e., intellectual disabilities and hearing impairment), and the results of teaching students with special needs were compared to that of teaching general vocational high school students. The experimental activity was done to get the viscosity level of eight substances (i.e., syrup, cooking oil, hand soap, liquid detergent, floor cleaner liquid, condensed milk, and mineral water). Condensed milk has the highest viscosity, and mineral water is the lowest. The result of this study showed that a combination of experimental demonstration and video is effective for improving the understanding of students with special needs, confirmed by the increasing pre and post-test results and supported by interviews. In addition, the identification data of the misconception test showed a decrease in misconceptions after carrying out the learning process using video. The use of interesting media with simple explanations made it easier for students with special needs to understand the material being taught.
Hydroxymethylfurfural in honey: a public health problem
Authors: Toledo Bruno Soares , Cipriano Lévison da Costa , Pereira Thais Regina de Castro , Mano Sérgio Borges , Cruz Adriano Gomes da , Esmerino Erick Almeida , Mársico Eliane Teixeira
Published: December 2022

Honey is a sweet and natural product of high nutritional value, produced by honey bees (Apis mellifera) composed mainly of water and carbohydrates, nitrogen compounds, enzymes, organic acids, amino acids, phenolic compounds, flavonoids, vitamins, minerals and other phytochemical substances. For cultural reasons, it is widely used for therapeutic purposes for various. However, despite this factor, it is the most fraudulent food in Brazil. On the other hand, it is also marketed in many places without any control, with the appeal of "natural product". Due to its composition can form a compound called 5-hydromethylfurfural or HMF (a furanic ring with functional groups of aldehyde and alcohol), classified as an organic molecule produced from the degradation of sugar after the Maillard reaction that has harmful effects on consumer´s healthy. The main objective of this study was to monitor the quality of honey, a product consumed broadly and increasingly by the population as food and/or medicine. We analyzed 34 honey samples without labeling and/or any type of inspection (US - unregistered samples) obtained in commercial establishments and from unlegalized vendors in the region between the cities of Itatiaia, Resende, Penedo and Visconde de Mauá, all in the Rio de Janeiro State; and 20 samples that had label and identification (RS - registered samples). Aiming to compare the two groups, relevant analyses were performed: pH, Lugol test, Lund test, color and especially 5-HMF. It was concluded that low-cost physicochemical analyses can be used to ensure a fraud-free and quality product that there is no presence of HMF at high concentrations.
Bankowość społecznie odpowiedzialna – koncepcja, zasady i model działania
Authors: Mikołajczak Paweł
Published: December 2022

Socially responsible banking - concept, principles and operating model. The financial crisis following the collapse of Lehman Brothers has made market participants aware of the need for profound changes in the security of financial markets. Researchers have also paid more attention to social banking, which aims at sustainable development, mitigating negative climate phenomena, developing social innovation, reducing social exclusion, eliminating hunger and poverty. The purpose of the study is to identify the assumptions and operating model of social banks. Socially responsible banks use finance to achieve a beneficial social effect. Unlike conventional banks, they embed the above goals in their culture and strategy of long-term, self-sustaining, transparent, inclusive, resilient to external disruptions operations based on long-term relationships with customers. Community banks provide money to customers who are active in the real economy and can provide triple positive benefits to society - social, environmental and economic (triple bottom line).
Evaluation of Anti-Mullerian Hormone in Predicting In Vitro Fertilization Cycle Outcomes
Authors: ERDOĞAN Kadriye , ŞANLIER Nazlı Tunca , GÜVEY Huri , DİLBAZ Serdar , KAHYAOĞLU İnci , USTUN Yaprak
Published: December 2022

Aim: This study was conducted to explore the effect of serum anti-Mullerian hormone (AMH) level on in vitro fertilization (IVF) cycle outcomes. Material and Methods: A total of 142 patients included in this study, were divided into three groups according to their serum AMH levels as Group 1: AMH level 5-10 ng/ml (n=108), Group 2: AMH level 10-15 ng/ml (n=20), and Group 3: AMH level >15 ng/ml (n=14). Demographic characteristics were recorded. The duration of infertility and stimulation, the number of cycles, initial, final, and total doses of gonadotropins, and estradiol (E2) and progesterone levels on the day of trigger, oocyte pick up (OPU) and embryo transfer (ET), the total number of oocytes retrieved, the number of mature oocytes, the number and quality of the embryo, and also endometrial thickness on the day of trigger, OPU and ET, the distance of embryo-fundus, the day of ET, and pregnancy outcomes were all recorded. Results: While the IVF treatment indications and pregnancy outcomes were similar between the groups, body mass index (BMI) was significantly higher in Group 2 and Group 3 than in Group 1 (p<0.001). The total doses of gonadotropin were significantly higher in Group 2 than in Group 1 and Group 3, and the total oocyte count was also significantly higher in Group 3 than in Group 1 (p=0.006, and p=0.015, respectively) Conclusion: AMH levels were associated with BMI and total oocyte count, but not with mature oocyte count, oocyte quality, and pregnancy outcomes.
Impact of Continual Improvement on Performance of IS0 9001:2015 Certified Organisations in Zimbabwe
Authors: Moyo Barnabas
Published: December 2022

The purpose of this study was to establish the impact of continual improvement, one of the principle of the ISO 9001 (QMS) on performance of ISO certified organisations in Zimbabwe. The study was grounded on the positivist philosophy informed by the quantitative paradigm. The target population comprised of all ISO 9001 certified organisations in Zimbabwe and a sample size of 121 respondents. The study adopted census sampling technique and primary data was collected using self-administered questionnaires. Data was analysed using descriptive and inferential statistics. Descriptive statistics was used to summarize data while inferential statistics, specifically Multiple Linear Regression, was used to test hypothesis. Based on the findings of the study, the researcher inferred some important conclusions that continual improvement was found to be positive and significant, and thus all variables had a positive effect on performance. The study recommends that management should be committed to continual improvement with respect to the dynamics of quality management practices, which should be aligned to the organisations’ objectives. Policy makers should create a quality framework that is geared towards improving performance and ensure it is adhered to by all stakeholders in all ISO certified organisations in Zimbabwe.
The Intermediate Community-2 A Behavioral / Bargaining Win-Win-Win Papakonstantinidis Approach for Conflict Resolution and Acceptance at the Local Level
Authors: A. Papakonstantinidis Leonidas
Published: December 2022

The paper explores the Nash’ equilibrium in the bargain, through the disagreement and conflict situations, in the case of the local development process. Special focus is given to the empathy within and during the bargain in the frame of the tripartite win-win-win perception, i.e [identity-social justice, community justice] with the Community in the Role of the “Intermediate”, among bargainers. Social trust and social cohesion conditions (sensitization process) within the Community develop the necessity of building social capital at a local level. That presupposes that the local community builds up a “new local standard,” based on local people’s sensitized instant reflection behaviour. By its turn, sensitized behaviour must be considered in the frame of any “bargain”, between two, taking place inside the Community. “Instrumental rationality” has been proved to be the main obstacle toward the socio-sensitized behaviour in the bargain process. Hence, a scientific dialogue in the socio-philosophical level has been developed on how “instrumental rationality” should co-exist with the “sensitized behaviour” at local levels leading to a “society of citizens.” Thus, the resulted behaviour leads into the absolute cooperation, which steps on the same rules of globalization. The paper, then, argues that this resulted behaviour reflects the end point of the local development process.
Da Sete de Setembro ao Dois de Julho:
Authors: Costa Menezes da Rocha Maria Isabel
Published: December 2022

No início do século XX, símbolos do patriotismo republicano eram alçados a monumentos, reformando-carimbando os centros urbanos, como fez a Avenida Sete de Setembro soteropolitana, em sua abertura e toponímia. Mas o que tais investidas do poder dominante tentaram omitir? A chegada da modernidade às cidades brasileiras empurrou a população negra para as margens dos espaços [monumentalizados-espetacularizados] agora destinado às elites. No entanto, tais sujeitos se viram impelidos seja a aquilombar-se nas margens de tais monumentos, seja a profaná-los com seus próprios rituais cotidianos. Ambos os movimentos encontraram nas ruínas – físicas e simbólicas – as condições de possibilidade para [re]produzir esses modos de existência na cidade. A fim de compreender como tais processos lidam com as investidas atuais dos poderes hegemônicos [público e privado], invocamos aqui o Dois de Julho, bairro que tangencia a Avenida Sete e homenageia, em sua toponímia, a data comemorativa da independência do Brasil na Bahia. Buscamos, no território, a presença cabocla daquelas pessoas que atuaram na linha de frente da guerra da independência, mas sobretudo daquelas que batalham todos os dias pelo direito à permanência no lugar com o qual constituíram vida e sustento.
The Role of ‘Ngalap Barokah’ in Rapid Urban Development: Case Study of Tebuireng, Jombang
Authors: Fijriah Hanifa , Ellisa Evawani
Published: December 2022

The purpose of this paper is to identify the background of rapid urban development in Tebuireng, an area hosting one of the oldest and most well-known pesantren (Islamic boarding school) in Indonesia. Within less than a decade, Tebuireng has run into significant development to accommodate massive number of people visiting the area. We conduct numerous field observation, mappings and in-depth interview with related actors in the area. Content analysis method is carried out to figure out the objective of this research. The study found that faith, known as ‘Ngalap Barokah’ is the main basis for the process of city formation and determines how the urban actors utilize the urban space. Considering the huge numbers of Islam believers in Indonesia, it is important to understand the aspects of faith that affect the urban growth, especially in the cities dominated by Moslem population. Finally, the finding of this faith based morphological research is potentially contributed for the practice of Indonesian urban planning, especially for anticipating the city growth dominated by Moslem stake holders.
The Histology of Background Pathological Processes in Cynomolgus Monkeys (Macaca fascicularis) from Control Groups in Toxicology Studies
Authors: Anikina Aurika G
Published: December 2022

Histological samples of organs obtained from 72 (35 male and 37 female) cynomolgus monkeys (M. fascicularis) from negative control groups in 12 toxicological studies were analyzed retrospectively. The most common processes where focal accumulations of exogenous pigment were found in 76.4% of animals in the lungs, non-atrophic chronic gastritis, which was observed in 37.4% of animals, focal chronic quiescent colitis was noted in 36.1% of cases, infiltrate in the liver were observed in 33.3% of animals, focal chronic quiescent gastritis was identified in 30.5% of animals, lymphoplasmacytic infiltrates in the kidneys were found in 26.4% of animals. Identification and accumulation of information on background pathology findings in primates from control groups are essential since these data allow differentiating spontaneous pathology from abnormalities associated with administration of a drug test, to correctly interpret the results of toxicology studies.
THE ALBANIAN GOVERNMENT’S EFFORTS TO SECURE A FINANCIAL ADVISOR TO ALBANIA FROM THE LEAGUE OF NATIONS (1921–1922)
Authors: KADRIA SALI
Published: December 2022

This paper presents the economic and financial situation in Albania during 1921– 1922, the difficulties faced by the Albanian government overcoming issues related to this and the efforts made to fulfill the Albanian government’s request to the League of Nations for an appointment of an outside financial advisor. It will also present the circumstances around the possibility being raised once again for the League to appoint a British financial. It addresses the motivations behind the Albanian government turning to the League of Nations for support, and the reasons why it could not seek help in this matter from Italy or the Kingdom of the Serbs, Croats and Slovens (SCS). This paper also reflects on the potential candidates discussed at the League of Nations and considers the discussions that took place regarding the procedures, competencies and criteria for selecting candidates for this task. The position held by the British and Italian governments regarding Albania’s request for assistance and the arguments on which their political lines were based. The paper considers in detail the position held by the British Foreign Office regarding the candidates submitted for this position in Albania.
NAPOLEON I, KARADJORDJE, AND THE GLORY OF THE GREATEST MILITARY LEADER
Authors: ANTIĆ ČEDOMIR
Published: December 2022

This article addresses a statement allegedly made by the French emperor Napoleon Bonaparte, in which he says that Karadjordje (“Black George”), the leader of the First Serbian Uprising, was a great war leader who was even greater than he himself. Every effort has been made to analyze all relevant sources for this anecdote. The purpose to systematically prove or disprove this academically neglected but publicly influential rumor.
Examining the Relationship Between Smartphone Addiction and Depression, Sleep, Quality of Life, and Pain Among University Students During the Covid-19 Pandemic
Authors: TAŞKAYA Cengiz , BÜYÜKTURAN Buket , KESKİNKILIÇ Fatma , ALKAN Halil , BÜYÜKTURAN Öznur
Published: December 2022

This study aims to examine the relationship between smartphone addiction and depression, sleep quality, quality of life, fear of contracting COVID-19 and increased pain in university students during the COVID-19 pandemic. In Türkiye, 350 students studying at universities were included in the study. Smartphone addiction levels of students were measured with the Smartphone Addiction Scale-Short Version (SAS-SV), and sleep quality and disorders were measured with the Pittsburgh Sleep Quality Index (PSQI). Beck Depression Inventory (BDI) was used to measure depression status, and Short Form 36 (SF-36) was used to measure quality of life. A positive and low-level significant relationship was found between smartphone addiction and sleep quality and depression level (P < 0.05). A significant negative correlation was found between smartphone addiction and many parameters of the SF-36 Quality of Life Scale (P < 0.01). It was revealed that those with high smartphone addiction increased their pain more during the pandemic period (P < 0.05). It was determined that those who were afraid of contracting COVID-19 had higher smartphone addiction (P < 0.05). It was found that the increase in smartphone addiction during the COVID-19 pandemic period negatively affected the depression level, pain level, sleep quality, and quality of life of university students. It was also found that university students who are afraid of contracting COVID-19 have higher smartphone addictions. Our study raises awareness about the consequences of increasing smartphone addiction among university students during the COVID-19 pandemic period.
Implementation of K-Means Clustering Method for Trend Analysis of Thesis Topics (Case Study: Faculty of Computer Science, University of Jember)
Authors: Irianto Maulana Rafael , Maududie Achmad , Arifin Fajrin Nurman
Published: December 2022

The development of information technology causes a large number of digital documents, especially thesis documents, so that it can create opportunities for students to take the same and not varied topics. Thesis documents can be grouped by topic by identifying the abstract section. The results of the grouping can be seen with the trend with data visualization so that it can be analyzed to find out the trend of each topic. Retrieval of data in the repository of the University of Jember through a web scraping process as many as 490 thesis documents for students of the Faculty of Computer Science, University of Jember. The preprocessing stage is carried out by text mining methods which include cleaning, filtering, stemming, and tokenizing. Then calculate the weight of each word with the Term Frequency - Inverse Document Frequency algorithm, followed by the dimension reduction process using the Principal Component Analysis algorithm, which is normalized by Z-Score first. The outliers removal process is carried out before classifying documents. Furthermore, document grouping uses the K-Means Clustering method with Cosine Similarity as the distance calculation and the Silhouette Coefficient algorithm as a test. The test results were carried out with various k values and the optimal value was obtained at k = 2 with a Silhouette value of 0.80. Then the topic detection uses the Latent Dirichlet Allocation algorithm for each cluster that has been formed. Each cluster is visualized with a line chart and Trend Linear algorithm and analyzed to find out the trend. From the results of the analysis, it can be concluded that the topic of Decision Support System Development is trending down, and the topic of IT Performance Measurement and Forecasting is trending up. It can be concluded that the topic of Decision Support System Development needs to be reduced so that other topics can emerge.
Risk Analysis of the Causes of Delay in Ship Construction (Case Study of KM CL 9E Ship Construction)
Authors: Gazali Goldy Sandy , Baroroh Intan
Published: December 2022

In shipbuilding work, the risk of delays must be analyzed and anticipated so that such delays do not occur and cause losses for both parties. This study aims to calculate the risk of a shipbuilding project using the Failure Mode and Effect Analysis (FMEA) method. The final result obtained is the result of the calculation of the Risk Priority Number (RPN) in determining what risks can af fect shipbuilding work. There are two jobs with RPN value > 200 which are classified as High Risk namely errors in lofting and damage to the pulley block as a supporting tool. The plans for risk management with the highest RPN value are then discussed with th e shipyard. Risk mitigation is carried out on the possible risk of errors in lofting, namely by adding worker personnel in the loft ing workshop who serve as supervisors and examiners. While the risk of breakage of the trough can be overcome by paying attention to the inventory and also the condition of the tool.
Study Characteristics of School Adolescent Girls on Iron Folic Acid Supplementation Program as the Prevention of Anemia in Adolescent
Authors: Prasetya Guntari , Khomsan Ali , Riyadi Hadi , Anwar Faisal
Published: December 2022

Background: Efforts to accelerate stunting reduction involve specific and sensitive nutrition interventions. School adolescent girls are the target group in reducing stunting through anemia prevention. Iron folic acid (IFA) supplementation program is the specific nutrition intervention to prevent anemia in adolescent girls.
Objectives: This research aims to study the characteristics of students who received the IFA supplementation program.
Methods: Research design was a cross sectional that involved 123 students from 12 public high schools in Cianjur District, West Java Province. Student’s characteristics consist of knowledge on anemia and their adherence on IFA supplementation program. Data collection is carried out by self-administering questionnaires monitored by enumerator. Data is performed by using mean ± SD and n (%).
Results: Student’s knowledge on anemia mostly (61.8%) were categorized as low, as 30.9% were moderate, and only 7.3% were high. Students (44.7%) knew how to detect anemia is by measuring blood hemoglobin levels. As of 59.3% and 51.2% students knew the main causes of anemia are inadequate iron intake and blood loss during menstruation. Approximately 60-80% students recognized the common symptoms and sign of anemia. Most students (76.8%) have received IFA on a weekly basis and 41.2% students acknowledge their adherence in the IFA consumption with aim to prevent anemia (85.1%), the rest 23.4% and 14.9% due to the advice by the teachers and health officers. Students who have no adherence were due to their fear on the side effects, the tablet taste, forgetfulness, and feeling healthy.
Conclusions: Iron folic acid supplementation program have been conducted and well targeted, however, student’s understanding on the objectives, benefit, and their adherence is needed to be gained.
A digitális biztonság témájának megjelenítése a magyar online médiában: egy évet felölelő szentimentanalízis
Authors: Kapornaky Mihály , Ujhelyi Adrienn
Published: December 2022

Jelen írás a digitális biztonság tágabb értelemben vett témakörének elterjedtségét vizsgálja a magyarnyelvű interneten. A social listening technikával végzett kutatás alapját válogatott kulcsszavak keresése és nagyméretű korpuszon végzett automatikus szöveganalitika jelentette. Az adatok forrásául a különféle típusú médiumok nyilvános tartalmai (cikkek, fórumbejegyzések, hozzászólások) szolgáltak. Az egyéves időtartamot felölelő, 27132 főképpen semleges érzelmi tónusú szöveges említést detektáló elemzés a téma jól mérhető jelenlétét mutatta ki az adatvédelmi irányelvek és szabályozások (pl. GDPR) jogi-bürokratikus nyelvezetű említéseinek egyértelmű mennyiségi dominanciájával. Emellett viszont gyakoriságukon túlmutató befolyással, jelentős eléréssel jelentek meg a felhasználók számára átélhetőbb, a fenyegetést, kockázatokat hangsúlyozó szövegek, legmarkánsabban a kibertámadások témaköre kapcsán.
A magyar GMO-ellenes mobilizáció eseményképeinek hatása az alkotmányra
Authors: Bajusz Orsolya
Published: December 2022

A tudománykommunikáció és a művészet határterületeit kutatván azokat a vizuális retorikai és affektív stratégiákat vizsgálom, amelyeket a GMO-ellenes mozgósítás használt Magyarországon 2005–2015 között. Különféle vizuális módszertanokat (kontentanalízis, vizuális framing) egészítettem ki interjúkkal, illetve fókuszcsoportos kutatással (a képek hatásmechanizmusaira fókuszálva) támasztottam alá az elemzésemet. Következtetésem, hogy a GMO-ellenes mobilizáció képei valójában nem tudománykommunikációs elemként működtek. Nem közvetítettek tényszerű információt, inkább egy társadalmi mozgalom építésére tett kísérletnek és ezen keresztül a politikai mozgósításnak voltak az eszközei. Nyilvános rituálékat rendeztek, vizuális politikai retorikát alkalmazva – elsősorban a magyar politikai diskurzushoz kapcsolódó jelentéseket közvetítettek, nem a Greenpeace eredeti eseményképeit ihlető poszthumanista ontológiákat. Az affiliáció és identifikáció politikai munkája az affektív regiszteren történt, és valószínűleg a nyilvánosság is az affektív szinten közvetített zavartságra és leereszkedésre reagált.
THE EFFECT OF FINANCIAL AND ECONOMIC GROWTH ON TOURISM DEVELOPMENT IN EMERGING ECONOMIES: A STUDY OF VIETNAM FOR THE INTERVAL 1990-2020.
Authors: Thao Hoang Thi Phuong
Published: December 2022

Purpose - The primary study objective is to determine the interaction between economic, financial, and tourism development in Vietnam for the 1990-2020 intervals. Design - This study is conducted through a combination of qualitative and quantitative methods using secondary data from WorldBank, Ourworldindata, and the Vietnam Bureau of Statistics. Methodology: The ARDL model is a statistically more robust approach for cointegration testing; then the ECM model was used to test for short-term effects and finally the Granger test for causality between the observed variables. Findings - Investigating the vital internal force that promotes tourism development reveals that finance and economic growth are crucially crucial during the 31-year study period. To illustrate, the economic and financial contribution to the positive change of tourism is up to 30.4% and 18.1%, respectively. Excitedly, the Granger test demonstrates a one-way causal relationship between economic growth and tourism development, tourism development, and finance development, and finance development and economic growth. In other words, it is a circle that demonstrates a consistently positive impact from tourism development to finance development, from finance development to economic growth, and finally, from economic growth to tourism development. The originality of the research - This paper highlights the role and impact level of the economic and financial sector on the tourism industry of a new Asian tiger and can be considered as the first study on Vietnam. The findings investigate how the economy functioned in the past and support policymakers in establishing future development policies, particularly in post-pandemic recovery.
SAÚDE E TRABALHO DE CAMINHONEIROS
Authors: Frey Angelica Francine , Giongo Carmem Regina , Passini Eduardo Souza
Published: December 2022

O objetivo deste estudo é apresentar uma revisão integrativa da produção cientifica sobre saúde e trabalho dos motoristas de caminhão, realizada em dezembro de 2021. Os descritores utilizados foram: “condução de veículo" or "veículos automotores" and "trabalho" em português na plataforma BVS e para as plataformas Scopus e Web of science em língua inglesa: “vehicle driving" or "motor vehicles" and "work”. Incialmente foram encontrados 1.061 artigos. Aplicado os critérios de inclusão e exclusão restaram 74 estudos. Os dados foram submetidos à estatística simples e à análise temática. A maioria dos estudos foram publicações em 2018 e nos Estados Unidos. O método quantitativo foi a abordagem que prevaleceu e a base com maior número de publicações foi a Science Direct. As temáticas dos artigos resultaram em cinco categorias: saúde física, saúde mental, condições e organização do trabalho, acidentes e uso de substâncias. Concluiu-se que as condições de trabalho influenciam diretamente a saúde dos motoristas, existe uma invisibilidade na área acadêmica, evidenciando a necessidade de ampliação de estudos sobre o tema e também de construção de políticas públicas efetivas de promoção da saúde no trabalho.
TRABALHO E COVID-19 NO CONTEXTO DO CAPITALISMO CONTEMPORÂNEO:
Authors: Gonçalves de Freitas Leda , De Oliveira Vieira Fernando , Gonçalves Ferreira Poliana , Amália Albarello Beatriz
Published: December 2022

Este ensaio se propõe a problematizar a temática “Trabalho e COVID-19 no cenário do capitalismo contemporâneo”, que acirra a exploração do trabalho e devasta as subjetividades na hegemonia neoliberal. Inicialmente, expomos as particularidades do capitalismo rentista em sua era neoliberal. Em seguida, mostramos o mundo precário do trabalho, acentuado pela pandemia da COVID-19. Por fim, destacamos a devastação das subjetividades e as possibilidades de resistências e transgressões no referido contexto.
INTEGRASI ILMU DALAM PENDIDIKAN: Membaca Potensi Integrasi Sains dan Agama di Pondok Pesantren Mahasiswa UII Yogyakarta
Authors: Hopid Abdul
Published: December 2022

Konsep integrasi sejatinya harus dimulai sejak dalam pikiran, pemahaman bahkan keyakinan. Bagi umat Islam yang berpegang teguh pada al Qur’an dan As-sunnah mestinya mampu memahami bahkan menyakini, bahwa semangat dan konsep integrasi secara umum sudah tertera dalam ajaran Islam. Namun pada kenyataannya umat Islam secara keseluruhan masih mengalami kendala tentang konsep integrasi. Lembaga pendidikan yang dimiliki umat Islam pun masih belum mampu menguasai integrasi keilmuan baik dari segi konseptual paradigmatis dan juga dalam dataran praktis. Hal ini mengindikasikan bahwa kita sebagai umat Islam belum secara utuh memahami ajaran Islam sendiri yang sangat sempurna itu. Banyak potensi umat Islam yang masih berserak belum terintegrasi, yaitu tradisi keilmuan baik sains ataupun agama yang masing-masing sudah berjalan dan dipraktikan oleh umat Islam tapi pada prinsipnya masih berdiri sendiri, bahkan dikotomik. Hal itu terjadi karena umat Islam belakangan ini sudah terlalu lama menerima sains dari barat dengan karakter materialisme sekular.
Analisis Bibliometrik Tentang Peran Baitul Maal Wat Tamwiil Terhadap Peningkatan Kesejahteraan Masyarakat: Data Google Scholar Tahun 2012-2021
Authors: Komariah Siti , Tulasmi Tulasmi
Published: December 2022

Penelitian ini bertujuan untuk menganalisis tren perkembangan dan arah penelitian tentang peran baitul maal wat tamwiil terhadap peningkatan kesejahteraan masyarakat yang terindeks di google scholar. Jenis penelitian ini merupakan penelitian kuantitatif dengan menggunakan analisis bibliometrik. Populasi yang digunakan dalam penelitian ini adalah jurnal tentang baitul maal wat tamwiil yang terindeks di google scholar. Sedangkan sampel dalam penelitian ini yakni peran baitul maal wat tamwiil terhadap peningkatan kesejahteraan masyarakat. Hasil penelitian memperlihatkan bahwa tren perkembangan jumlah publikasi penelitian dari tahun tahun ke tahun rata-rata mengalami peningkatan, namun peningkatan jumlah penelitian tersebut masih melambat. Hal ini dibuktikan dengan data publikasi jurnal selama 10 tahun hanya terdapat 49 jurnal. Peneliti yang paling banyak berkontribusi adalah Sri Herianingrum sebanyak 3 jurnal dan nama jurnal yang paling banyak berkontribusi adalah JESTT: Jurnal Ekonomi Syariah Teori dan Terapan yang berasal dari Universitas Airlangga. Kemudian untuk arah penelitian yang potensial untuk dikembangkan di masa depan adalah penelitian yang menyertakan kata kunci microfinance institution, community empowerment, education, cash waqf dan welfare improvement.
Keywords: Baitul maal wat tamwiil, peningkatan kesejahteraan masyarakat; analisis bibliometrik; google scholar.
Pengembangan Bisnis Berbasis Syariah: Studi Empiris Pada Entrepreneur Muda
Authors: Indranata Charisma Jalil , Safitri Junaidi
Published: December 2022

Syariah merupakan gaya hidup yang banyak diminati oleh masyarakat Indonesia karena memiliki penduduk mayoritas muslim. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat mengembangkan bisnis syariah di kalangan generasi muda khususnya mahasiswa. Ada tiga faktor yang dianalisis dalam penelitian ini, yaitu ekspektasi pendapatan, lingkungan keluarga, dan pendidikan kewirausahaan. Penelitian ini merupakan penelitian kuantitatif berbasis kausal komparatif dan analisis yang dilakukan pada seluruh populasi. Populasi penelitian ini adalah mahasiswa Ekonomi Islam Universitas Islam Indonesia angkatan 2016 dan 2017 sebanyak 101 mahasiswa. Metode pengumpulan data dalam penelitian ini adalah dengan menggunakan kuesioner atau kuesioner yang diberikan kepada seluruh populasi. Hasil penelitian ini menunjukkan bahwa Ekspektasi Penghasilan berpengaruh positif terhadap Minat Bisnis Syariah. Begitu juga dengan lingkungan keluarga berpengaruh positif terhadap minat bisnis syariah. Sedangkan Pendidikan Kewirausahaansan berpengaruh terhadap Minat Bisnis Syariah dan secara simultan Ekspektasi Penghasilan, Lingkungan Keluarga, dan Pendidikan Kewirausahaan berpengaruh terhadap Keputusan Bisnis Syariah.
PEMETAAN ASAL SEKOLAH, PRESTASI AKADEMIK DAN NON AKADEMIK DALAM UPAYA MENINGKATKAN KUALITAS INPUT MAHASISWA FAKULTAS ILMU AGAMA ISLAM UNIVERSITAS ISLAM INDONESIA
Authors: Yuli Astuti Mia , Pradima Sari Ikke , Anfani Fahmi Rizki
Published: December 2022

Penelitian ini bertujuan untuk mengetahui pemetaan asal sekolah terhadap prestasi akademik maupun non-akademik mahasiswa Fakultas Ilmu Agama Islam Universitas Islam Indonesia yang akan dijadikan acuan sebagai strategi pemasaran Fakultas Ilmu Agama Islam Universitas Islam Indonesia guna meningkatkan kualitas input mahasiswa ke depannya. Survei ini didasarkan pada penyebaran kuesioner dengan teknik cluster random sampling kepada mahasiswa di tiap program studi Fakultas Ilmu Agama Islam Universitas Islam Indonesia. Hasil penelitian menunjukkan bahwa mayoritas latar belakang mahasiswa Fakultas Ilmu Agama Islam berasal dari sekolah yang berbasis Islam, selaras dengan mahasiswa berprestasi yang juga didominasi oleh sekolah Islam berbasis pesantren. Prestasi yang ditorehkan mahasiswa dari sekolah Islam berbasis pesantren tidak sebatas pada kategori keislaman, namun juga pada kategori umum. Sedangkan daerah asal mahasiswa berprestasi didominasi oleh Jawa Tengah dan Jawa Timur serta di luar Jawa didominasi oleh Lampung dan Sumatera Utara. Maka, pemasaran FIAI UII direkomendasikan lebih difokuskan pada sekolah Islam berbasis pesantren di daerah Jawa Tengah, Jawa Timur dan Jawa Barat.
Application of the Model of Spots for Inverse Problems
Authors: Simonov Nikolai Anatolievich
Published: December 2022

This article proposes application of a new mathematical model of spots for solving inverse problems using a learning method, which is similar to using the deep learning. In general, the spots represent vague figures in abstract “information spaces” or crisp figures with lack of in-formation about their shapes and are adequate for representation human mental images and reasoning in Artificial Intelligence (AI). However, crisp figures are regarded as a special and limiting case of spots. A basic mathematical apparatus, basing on L4 numbers, has been developed for the representation and processing of qualitative information of elementary spatial relations between spots. Also, we defined L4 vectors, L4 matrices, and mathematical operations on them. Developed apparatus can be used in AI, in particular, for knowledge representation and for modeling qualitative reasoning and learning. Another application area is the solution of inverse problems by learning. For example, this can be applied to image reconstruction using ultrasound, X-ray, magnetic resonance, or radar scan data. The introduced apparatus was verified by solving problems of reconstruction of images, utilizing only qualitative data of its elementary relations with some scanning figures. This article also demonstrates application of spot-based inverse Radon algorithm for binary image reconstruction.