bluuebunny/crossref_metadata_2025 huggingface dataset:
MODELING THE BENEFITS OF A MARRIAGE REVERSE ANNUITY CONTRACT WITH DEPENDENCY ASSUMPTIONS USING ARCHIMEDEAN COPULA
Authors: Lundy Arnhilda Aspasia , Novita Mila , Fithriani Ida
Published: October 2024

Social security benefits may not be enough for retirement. Equity release products like marriage reverse annuities can boost retirement income for older couples. Marriage reverse annuity’s contract convert all or part of the real estate value of elderly spouses while they are living (joint life status) or after one partner dies (last survivor status). Since husband and wife face the same death risk, the chance of death between spouses is believed to be dependent for realism. Thus, copula models the future dependency model of a husband and wife. Sklar's theorem states that copulas link bivariate distribution and marginal cumulative functions. One of the most common copulas is Archimedean copula. Clayton, Gumbel, and Frank are Archimedean copula that will be used in this investigation. The Indonesian Mortality Table IV data is used to obtain the marginal distribution of the male and female which will then be used to construct copulas (Clayton, Gumbel, and Frank) that combine two marginal distributions into a joint distribution. The marginal distribution of Indonesian Mortality Table IV is uncertain, hence Canonical Maximum Likelihood parameter estimation is utilized to estimate the parameter of copulas. Multiple-state models depict the marriage reverse annuity model for joint life and last survivor status. The probability structure is based on Sklar's theorem and copula survival function. The contract benefits calculation utilizing copulas (Clayton, Gumbel, and Frank) shows that joint life status benefits are higher than last survivor status. Joint life status uses the dependence assumption with Frank's copula to calculate the smallest annual benefit value of a marriage reverse annuity contract, while last survivor status uses the independence assumption (without copula).
PM10 AIR QUALITY INDEX MODELING USING ARFIMA-GARCH METHOD: BUNDARAN HI AREA OF DKI JAKARTA PROVINCE
Authors: Hariyanto Susilo , Wibawa Salsabila Gustia , Solikhin Solikhin
Published: October 2024

Air quality is an essential factor in urban life, and its’ assessment often relies on the concentration of measurable air pollution parameters. One critical parameter is Particulate Matter (PM), particularly PM10, which comprises solid or liquid particles dispersed in the air from various sources. One of the methods employed for predicting stock index prices is ARFIMA. ARFIMA is used to model long memory data characterized by a slowly decreasing Autocorrelation Function (ACF) plot (hyperbolic) or a difference value in the fractional from. This method is widely used due to its ability to handle nonstationarity issues in time series. However, the time series data often contain heteroskedasticity problems. Data with heteroscedasticity are then further addressed using the GARCH model, because it can model volatility changes occurring over longer periods and capture the persistence of volatility. The ARFIMA-GARCH model can explain long-memory patterns in time series data and address heteroscedasticity issues. The data are sourced from the Jakarta open data web, which is integrated with DLH DKI Jakarta Province. The aim of this research was to forecast the PM10 air quality index at the Bundaran HI Area in the Province of DKI Jakarta for the next 14 days, from January 1st to January 14th, 2021, using an ARFIMA model enhanced with GARCH. The analysis reveals that the best model is ARFIMA ([17], d, [1])-GARCH (1,1). Forecasting using this model resulted in a MAPE of 3.47%, indicating that the model is highly capable of forecasting several periods.
MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH
Authors: Nitasari Alfi Nur , Sa'idah Andini , Faizun Nurin , Darmawan Kezia Eunike , Fitri Marfa Audilla , Chamidah Nur
Published: October 2024

Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims. Since November 16th, 2023, 8 hamlets in Meranti Village, Landak District, West Sumatra have been inundated by floods which affected  families and many public facilities. This research uses data from West Sumatra Province Central Statistics Agency. The data used is 2014, 2018 and 2021. The response variable used is the number of villages/sub-districts experiencing natural disasters according to district/city ( ). The predictor variables used are regional topography , the number of water channels such as rivers, reservoirs, etc. , the number of fields cleared through burning , the number of villages/sub-districts in C excavation area , and the number of dumpsters . This research uses Negative Binomial Regression with the Generalized Estimating Equation (GEE) approach. In the Poisson regression test, the QIC value based on Independent Working Correlation Structure (WCS) is  with deviance value of , degree of freedom of , and dispersion score of 4,6144. Because the dispersion value is greater than 1, it can be concluded that there is overdispersion. Because there is more than one overdispersion, it is overcome by using negative binomial. The results of parameter estimation using negative binomial regression based on Independent WCS showed that only one variable was significant, which is the number of fields cleared through burning  with deviance value of , degrees of freedom of  and a QIC of . Negative Binomial regression model that was formed is ). From the two regression models used, namely Poisson and negative binomial, it was found that the negative binomial regression model was the best model because it had the lowest QIC value of .
EID AL-FITR INFLUENCES THE NUMBER OF TRAIN PASSENGERS ON THE SUMATRA ISLAND (CALENDAR VARIATIONS TIME SERIES MODEL)
Authors: Akbar Muhammad Sjahid , Safira Dinda Ayu , Fadhilah Rahmi , Damayanti Salma , Riskianto Riskianto , Puthy Khem
Published: October 2024

The Train is one of the transportation options for land travel on the island of Sumatra because of its affordable cost, comfort, and fast mobility. The majority of the population of Sumatra Island who are Muslims influenced the sharp increase in the number of train passengers during Eid Al-Fitr due to the large number of residents who returned to their hometowns (Sumatra Island). The time of Eid Al-Fitr will change every year on the Gregorian calendar, but it is always the same if using the Hijri calendar. This study aims to predict the number of train passengers on the island of Sumatra based on calendar variations (Eid Al-Fitr). To overcome this calendar variation, time series modeling will be used with the addition of exogenous variables (ARIMAX). This model consists of a time series regression equation added with a time series model of the residual regression equation of an exogenous variable. The resulting model can forecast the number of train passengers in the next few months and find that Eid Al-Fitr affects the data. Every Eid Al-Fitr, there is an increase in the number of train passengers by 49 passengers. The model obtained is in the good category with MAPE in-sample of 18.12% and out-sample of 9.93%.
INTEGRATED FORECASTING AND AGGREGATE PLANNING FOR PRODUCTION OPTIMIZATION: A COMPARATIVE ANALYSIS OF OVERTIME AND SUBCONTRACTING CONTROLS
Authors: Anindita Sukma , Yotenka Rahmadi
Published: October 2024

The current potential market demand with ever-changing situations and conditions must be managed properly to find out the potential market demand in the future. Rumah Warna Yogyakarta is one of the manufacturing industry players that has experienced fluctuations in market demand, even tending to decline from the end of 2021 to mid-2022. Data was obtained from the database and direct interviews with Rumah Warna in Yogyakarta from November 2021 to November 2022. This study aims to determine the prediction of product demand for Rumah Warna Yogyakarta in the next period, so that companies can carry out production planning strategies to minimize production cost. Product demand prediction is carried out using the Grey System method of the GM (1,1) model. Then proceed with the heuristic aggregate planning method that focuses on overtime control and subcontracting control. Based on the results of the analysis, the Grey System GM (1,1) method produces good prediction accuracy of 9.231%. The best aggregate planning method is the overtime control where Rumah Warna Yogyakarta can reduce costs by Rp 351,258,758 when compared to the subcontracting control method.
NUMERICAL ERROR METHOD TO DETERMINE THE EFFICIENCY OF REDUCING VIBRATIONS DUE TO EARTHQUAKE LOADS ON BUILDINGS USING FLUID VISCOUS DAMPER
Authors: Prawiro Radius , Imani Rafki , Nanda Nanda
Published: October 2024

According to The Indonesian Earthquake Map, Padang City in West Sumatra is in Earthquake zone 6. This indicates that Padang City is very vulnerable to earthquakes. Meanwhile, developments in the construction of high buildings also continue to show progress all the time. The main problem that is often faced is the issue of structural damage due to earthquakes. Efforts are needed in earthquake engineering on buildings so that collapse can be minimized. The earthquake damping system used is FVD (Fluid Viscous Dampers) with different types. The Type-A damper is FVD-750 kN and the Type-B damper is FVD-1000 kN, and without using a damper. This research aims to analyze the efficiency of reducing earthquake loads such as floor displacement and vibration period of an 18-story building structure 18 meters high from the base.The analysis method used is a numerical method by calculating earthquake load reduction based on numerical error analysis from the two types of dampers used on structures without using dampers. Building planning refers to SNI 1727-2013, SNI 1726-2019, and SNI 2847-2019, and is assisted by ETABS software. Based on SNI 1726-2019, earthquake risk category II, soft soil condition type (SE), earthquake acceleration response value SDS = 0.745g and SD1 = 0.784g are obtained. The earthquake load used is a dynamic load, taking into account that the condition of the building is irregular. Based on the results of the analysis, it was found that the displacement between floors using the Type-AFVD Damper could reduce the displacement by up to 45.72% and with the Type-B FVD Damper it could reduce the displacement by up to 92.72%. Meanwhile, the period of vibration natural using a Type-A FVD Damper can be reduced by up to 12.34% and using a Type-B FVD Damper can be reduced by up to 33.21%.
ROBUST LEAST MEDIAN OF SQUARE MODELLING USING SEEMINGLY UNRELATED REGRESSION WITH GENERALIZED LEAST SQUARE ON PANEL DATA FOR TUBERCULOSIS CASES
Authors: Adityaningrum Amanda , Resmawan Resmawan , Brahim Annisa Maharani , Isa Dewi Rahmawaty , Nashar La Ode , Asriadi Asriadi
Published: October 2024

Tuberculosis, primarily affecting the lungs and other organs, was the leading cause of death worldwide before the COVID-19 pandemic and continues to be a significant health concern. This research examined tuberculosis (TB) using a panel dataset. As a consequence, the datasets may contain outliers and contemporaneous correlations. A Robust Least Median of Square (LMS) model was developed in this research by combining Seemingly Unrelated Regression (SUR) with Generalized Least Square (GLS) on panel data to provide an analysis overview to overcome outliers and contemporaneous correlations. Based on secondary data obtained from the Central Bureau of Statistics of the Gorontalo Province and the Ministry of Health of the Gorontalo Province, this research examines TB cases between 2017 and 2021. The Chow test result suggests that CEM is the most appropriate model for analyzing panel data for TB cases in Gorontalo Province between 2017 and 2021. Due to the presence of outliers and influential observations in the data, robust LMS is employed. Furthermore, there is a problem of contemporaneous correlation in this research. Each regency or city can mitigate this problem by implementing robust LMS using SUR with GLS.
CLUSTER MAPPING OF HOTSPOTS USING KERNEL DENSITY ESTIMATION IN WEST KALIMANTAN
Authors: Cahyani Cristy Framedia , Kusnandar Dadan , Debataraja Naomi Nessyana , Martha Shantika
Published: October 2024

Forest and land fires pose a recurring concern every year in Indonesia, often taking place in West Kalimantan Province, particularly during the dry season. This study aims to use the Kernel Density Estimation (KDE) to categorize the data of the hotspots in the province of West Kalimantan according to their density and to map the cluster level of the fire risks in the region. The data utilized in this study are secondary data obtained from the images of the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument, which are available on firms.modaps.eosdis.nasa.gov and provided by NASA. The data focuses on hotspots dispersed across West Kalimantan province during 2020. The variables examined in the study were the confidence level (≥80%) of forest and land fire hotspots, the distance from each point to the nearest river, and the distance from each point to the nearest road. The kernel density estimation method with a Gaussian kernel function yielded clustering results into three distinct groups according to their vulnerability levels. Low vulnerability areas comprise Cluster 1, which consists of 127 points or 50.97% of the total hotspots. Medium vulnerability areas belong to Cluster 2, which has 47 points or 30.32% of the total. Cluster 3 includes high vulnerability locations, consisting of 29 points or 18.71% of the total. The most susceptible areas to forest and land fires are located within the Ketapang regency.
RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC
Authors: Lestari Karunia Eka , Agustina Fitriani , Yudhanegara Mokhammad Ridwan , Nugraha Edwin Setiawan , Sylviani Sisilia
Published: October 2024

The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.
PYTHON IN ORDINARY DIFFERENTIAL EQUATIONS LEARNING
Authors: Sugiarto Sigit , Lekitoo John Nandito , MA Ratnah Kurniati
Published: October 2024

Using software in mathematics learning can improve students' soft and hard mathematics skills at the high school and college levels. Therefore, using software in the learning process is important, including in learning Differential Equations. This research examines the use of the Python programming language with Jupyter Lab software and the SymPy library in solving ordinary differential equation problems symbolically in the Differential Equations course. The use of the Python programming language in Differential Equations learning includes solving linear ordinary differential equations of first-order, second-order, higher-order, and the Laplace transform. This research also examines the effect of using Python on the learning outcomes of differential equations of Mathematics Education Study Program students, Study Program Outside the Main Campus, Pattimura University. The population in this quantitative research is all students who programmed differential equations courses in the even semester of the 2023-2024 academic year as many as 19 students. The Python programming language can be used to solve differential equation problems symbolically easily, quickly, and accurately. In addition, using Jupyter Lab makes the process of solving differential equation problems easier and more interactive. Furthermore, t-test results show that the use of Python in learning differential equations can improve students' learning activities and learning outcomes. Using the Python programming language with Jupyter Lab software and the SymPy library can be developed to create teaching materials, textbooks, and reference books for Differential Equations courses.
GEOGRAPHICALLY WEIGHTED MACHINE LEARNING MODEL FOR ADDRESSING SPATIAL HETEROGENEITY OF PUBLIC HEALTH DEVELOPMENT INDEX IN JAVA ISLAND
Authors: Suprayogi Muhammad Azis , Sartono Bagus , Notodiputro Khairil Anwar
Published: October 2024

Random Forest (RF) machine learning models have emerged as a prominent algorithm, addressing problems arising from the sole use of decision trees, such as overfitting and instability. However, conventional RF has global coverage that may need to capture spatial variations better. Based on the analysis of the level of public health development, the relationship between the level of health development and risk factors can vary spatially. We use a modified RF algorithm called Geographically Weighted Random Forest (GW-RF) to address this challenge. GW-RF, as a tree-based non-parametric machine learning model, can help explore and visualize relationships between the Public Health Development Index (PHDI) as response variables and factors that are indicators at the district level. GW-RF output is compared with global output, which is RF in 2018 using the percentage of the population with access to clean/decent water (X1), consumption of eggs and milk per capita per week (X2), number of healthcare facilities per 1000 people (X3), number of doctors per 1000 people (X4), pure participation rate ratio female/male (X5), percentage of households that have hand washing facilities with soap and water (X6) as independent variables. Our results show that the non-parametric GW-RF model shows high potential for explaining spatial heterogeneity and predicting PHDI versus a global model when including six major risk factors. However, some of these predictions mean little. Findings of spatial heterogeneity using GW-RF show the need to consider local factors in approaches to increasing PHDI values. Spatial analysis of PHDI provides valuable information for determining geographic targets for areas whose PHDI values need to be improved.
FACTORS AFFECTING INDONESIAN PADDY HARVEST FAILURE: A COMPARISON OF BETA REGRESSION, QUASI-BINOMIAL REGRESSION, AND BETA MIXED MODELS
Authors: Kusumaningrum Dian , Hidayat Agus Sofian Eka , Notodiputro Khairil Anwar , Kurnia Anang , Sartono Bagus , Sumertajaya I Made
Published: October 2024

The Paddy harvest failure rate is one of the key aspects in determining the total number of claims in a crop insurance policy. It is also an important factor indicating the fulfillment of targeted total production. Therefore, we proposed Beta Regression, Quasi Binomial Regression, and Beta Mixed Models which can be used to analyze significant variables affecting paddy harvest failure rates. Model selection and evaluations indicated that the Nested Beta Mixed Model is the best.  Previous research has shown four significant fixed effect variables: drought, flood, pests, and disease risks. Pests and other types of risks also affect the variability of loss rate. All variables have positive effects, indicating higher values cause a higher possibility of a higher average harvest failure rate.  High variability was shown for province, municipality, and farmers' random effects.  Hence, to prevent a more significant loss rate, MoA should consider more intensive and innovative participatory activities in farmer groups to enhance good farming practices, especially for farmers who suffer from certain risks. These activities should also consider the local characteristics of each province or municipality. As for AUTP development and improvement, farmers with lower failure risks could be given a discounted premium to make it more appealing.
MONITORING THE SAUSAGE PRODUCT USING LANEY DEMERIT CHART BASED ANALYTICAL HIERARCHY PROCESS
Authors: Landi Farhan , Ahsan Muhammad , Rifki Kevin Agung Fernanda
Published: October 2024

Ready-to-eat sausage is a food product that has a limited shelf life. Therefore, regularly monitoring the quality of packaged ready-to-eat sausage products is important to ensure that the products meet the established quality standards. Twelve types of product defects need to be observed in the final checking process to meet the quality standards, namely Wrinkle, Dots, Leaking, Product Stain, Non-standard Form, Poor Print Quality, Vacuum Leaks, Weak Ties, Body Defects, Uneven Length, Broken Node, and Small Stain. This study aims to apply the Laney Demerit Control Chart (LDCC) and Analytical Hierarchy Process-Integrated Statistical Process Control (AHP-ISPC) methods to monitor the quality of packaged ready-to-eat sausage production at XYZ Inc. The data is from the quality testing of ready-to-eat sausage products taken from XYZ Inc. for six months from April 1, 2023, until September 30, 2023. The findings reveal that conventional control charts (u control chart, demerit control chart, and AHP-based demerit control chart) exhibited oversensitivity because it is attributed to the large number of samples produced by the company, prompting the need for a more balanced approach. Implementing the Laney u control chart, Laney demerit control chart, and the AHP-based Laney demerit control charts successfully achieved statistical control in phase I. In contrast, phase II still demonstrated challenges, particularly with the AHP-based Laney Demerit Control Chart detecting the highest number of out-of-control points. This suggests that phase II remains statistically out of control, necessitating further analysis or corrective measures to enhance process stability. Additionally, the process capability analysis indicated that the production process during the specified period lacked capability, as evidenced by a capability index value below one (0.883).
ANALYSIS OF PATH NONPARAMETRIC TRUNCATED SPLINE MAXIMUM CUBIC ORDER IN BANKING CREDIT OF RISK BEHAVIOR MODEL
Authors: Amanda Devi Veda , Iriany Atiek , Fernandes Adji Achmad Rinaldo , Solimun Solimun
Published: October 2024

Path analysis tests the relationship between variables through cause and effect. The assumption of linearity must be met before conducting further tests on path analysis. If the shape of the relationship is nonlinear and the shape of the curve is unknown, a nonparametric approach is used, one of which is a truncated spline. The purpose of this study is to estimate the function and obtain the best model on the nonparametric truncated spline path of linear, quadratic, and cubic orders with 1 and 2-knot points and determine the significance of the best function estimator in banking credit of risk behavior model through the jackknife resampling method. This study uses secondary data through questionnaires to KPR debtor consumers, as many as 100 respondents. Based on the results of the analysis, it is known that the best-truncated spline nonparametric path model is the quadratic order of 2 knots with a coefficient of determination of 85.50%; the significance of the best-truncated spline nonparametric path estimator shows that all exogenous variables have a significant effect on endogenous variables.
DETERMINING AGRICULTURAL INSURANCE PREMIUMS USING THE BLACK-SCHOLES APPROACH BASED ON LINEAR REGRESSION OF POTATO PRODUCTION AND PRICES
Authors: Purwani Sri , Sutisna Sarah , Fasa Rayyan Al Muddatstsir
Published: October 2024

Price fluctuations, which often occur in the agricultural sector, cause farmers to experience losses when selling prices are not balanced with production costs. The government is trying to minimize farmers' losses by issuing an agricultural insurance program. One of the problems with agricultural insurance is determining the premium that farmers must pay so as not to disadvantage the insurance company. This paper explores the price of insurance premiums associated with potato cultivation in West Java, Indonesia. In addition, this research analyzes the factors that influence prices by focusing on the relationship between potato production levels and market prices. Therefore, a comprehensive data set of potato production data and associated prices is used. Regression analysis, as a statistical technique, is used to model the relationships. The Black-Scholes method then uses the obtained result to determine insurance premiums. This method is used due to a theoretical framework for pricing options that allows selecting an option's fair price using a structured, defined methodology that has been tried and tested. The premium values that depend on the trigger value are then obtained with a range of prices between IDR 5,687,670 and IDR 18,067,953 for an insured amount of IDR 39,403,000 per contract period. The premium price range allows farmers to choose the right agricultural insurance policy. It also allows insurance companies to determine insurance premiums for potato cultivation.
PREDICTION INDONESIA COMPOSITE INDEX USING INTEGRATION DECOMPOSITION- NEURAL NETWORK ENSEMBLE DURING VUCA ERA
Authors: Saluza Imelda , Munarsih Ensiwi , Faradillah Faradillah , Anggraini Leriza Desitama
Published: October 2024

The Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) era causes turmoil in the capital markets, stocks, commodities, etc. The impact is a decline in the Composite Stock Price Index (IHSG) in 2020. Therefore, future data is needed to inform investors and business people when making portfolio decisions. This paper develops a decomposition and Neural Network (NN) integration model to predict ICI during the VUCA era. The results are presented empirically to show the model's effectiveness in reducing prediction errors. First, the actual data is converted into three components; second, with the Neural Network Ensemble (NNE) approach where the initial step of decomposition results is trained using artificial NN with architecture, training data, and topology to produce individual networks; The output is selected using Principal Component Analysis (PCA) and becomes input to the ensemble model, then combined using a simple average and weighted average. The empirical results from ICI predictions illustrate: (1) decomposition has the potential to overcome data that is characterized by high volatility; (2) NNE is able to reduce errors (MSE≤0.100e-4, MAE≤0.01) compared to individual networks (MSE=0.0024 MAE=0.0376); (3) ensemble combinations using weighted averages (MSE≤3.00e-5,MAE≤0.002) are superior to simple averages (MSE≤5.00e-5,MAE≤0.01); (4) the integration carried out shows effectiveness in predicting ICI and provides better prediction results.
Distribution System of Red Snapper (Lutjanus sp) at the Brondong Fisheries Port in the Brondong District, Lamongan Regency, East Java
Authors: Ristyanadi Bhiaztika , Endah Sih Prihatini  , Faisol Mas'ud  , Mochammad Atok
Published: October 2024

Ikan kakap merah (Lutjanus sp) adalah jenis ikan laut yang memiliki nilai ekonomis tinggi dan banyak digemari, baik untuk dikonsumsi masyarakat atau untuk komoditas ekspor. Banyaknya masyarakat yang mengkonsumsi ikan kakap merah karena ikan ini dikenal mempunyai kandungan gizi tinggi yang dapat meningkatkan kesehatan tubuh. Penelitian ini dilaksanakan di Pelabuhan Nusantara Brondong Kabupaten Lamongan selama 1 bulan mulai pada tanggal 11 Januari 2022. Tujuan dari pelaksanaan penelitian ini adalah untuk mengetahui sistem distribusi, margin dan lembaga pemasaran ikan kakap merah di Pelabuhan Nusantara Brondong Kabupaten Lamongan Jawa Timur. Penelitian ini, diharapkan dapat menambah pengalaman, meningkatkan dan dapat mengaplikasikan dan membandingkan teori yang didapat dibangku perkuliahan dengan keadaan di lapangan terkait sistem pemasaran Ikan Kakap Merah di Pelabuhan Nusantara Brondong Kabupaten Lamongan Jawa Timur. Metode yang digunakan adalah metode deskriptif dengan teknik pengambilan data meliputi observasi, wawancara, pastisipasi dan dokumentasi. Sistem distribusi pemasaran ikan kakap merah di Pelabuhan Perikanan Nusantara Brondong terdapat dua tipe, tipe pertama distribusi pemasaran semi langsung dan tipe kedua distribusi penyaluran tidak langsung. Adapun saluran pemasarannya dari penjual, pedagang pengumpul, pedagang pengecer, eksportir, pabrik pengolahan ikan dan konsumen. Marjin pemasaran terbesar adalah Rp.38,000. Tingginya marjin tersebut dipengaruhi oleh besarnya biaya yang harus dikeluarkan untuk mengolah ikan kakap merah menjadi ikan fillet.
Translanguaging in Academic Writing Classroom: A Case Study of EFL Pre-Service Teachers's Perception
Authors: Yolanda Ika Yasyinta Nindy , Setyaningsih Endang , Drajati Nur Arifah
Published: October 2024

This case study explores the perceptions of translanguaging in the academic writing process of pre-service teachers. Drawing upon the theories of forms translanguaging (Baynham & Lee, 2019; Garcia & Lin, 2016; Hua & Wei, 2022) and the stages of writing proposed by Hyland (2003), this research delves into how pre-service teachers perceive and utilize translanguaging in their writing. The study integrates observations, interviews, and artifact analysis involving pre-service teachers to understand their engagement with translanguaging as both a communicative and pedagogical strategy. The findings show that pre-service teachers not only view translanguaging as a method for effective communication but also as a crucial tool for enhancing their engagement with academic content, particularly in the stages of topic selection, pre-writing, writing, and feedback. In addition, the significant use of translation, code-mixing, and code-switching underscores their linguistic adaptability in a multilingual academic context. This research contributes to the academic discourse by providing insights into the role of translanguaging in the academic writing process and its implications for future teaching practices.
From International Experience to Intercultural Competence: Indonesian EFL Teachers' Reflection
Authors: Fitriyah Ulil , Utami Widiati  , Yazid Basthomi  , Anik Nunuk Wulyani
Published: October 2024

Current developments in English Language Teaching (ELT) have heightened the urgent need for intercultural competence as another essential skill in contemporary language education. Today’s EFL teachers are required to possess intercultural competencies to effectively assist students in raising their intercultural awareness. This study aims to examine teachers’ international experiences regarding the development of their intercultural competence, utilizing the developmental model of intercultural sensitivity (DMIS) proposed by Bennett (1986, 2017) as the framework. Through the application of a multiple narrative approach, we analyzed the stories of two higher education teachers, collected via document study and three-cycle interviews. The results demonstrate the complexities of teachers’ intercultural competence development and highlight an important aspect: one’s intercultural progression, as they may flexibly alter based on the situation and condition faced at a given moment.
Booksnaps or Ms Word? Which One Is Better in Developing Reading Comprehension across Critical-Creative Thinking Levels
Authors: Yohana Elva , Cahyono Bambang  Yudi , Suryati Nunung , Astuti Utari Praba
Published: October 2024

The study investigates which of the two summary writing techniques (one using BookSnaps and the other using MS-Word) affects reading comprehension performance better than the other.  It also examines whether or not level of critical-creative thinking skills affects the results. This study used a causal-comparative design. Two groups of students were involved in this study and after the treatment they were tested on their reading comprehension performance across critical-creative thinking skill levels. The results showed that the reading comprehension performance of the two groups of students were not different significantly regardless of the summary writing techniques used. The results also showed that students with high level of critical-creative thinking skill outperformed the students with low critical-creative thinking skill in each of the two groups. This implies that teachers might use either BookSnaps or MS- Word to train the students in summary writing. However, when dealing with students with low critical-creative thinking level, the teachers might give more time in the process of summary writing or give assistance to students who need it when applying either BookSnaps of MS-Word.
Unveiling Gender Portrayals in Indonesian EFL textbooks: A Critical Discourse Analysis
Authors: Susanto Susanto , Chojimah Nurul
Published: October 2024

This study aims to describe the representation of genders in five Indonesian EFL textbooks published by Erlangga Publishing and unveil the ideology and attitudes behind the image of genders. The methods of critical discourse analysis (CDA) proposed by Van Dijk, which comprise discourse, social cognition, and discourse and society, are used to unveil the patterns of gender portrayal and the attitudes behind it. Data for this study are the human images in five Indonesian EFL textbooks published by Erlangga Publishing. This study reveals that in terms of frequency, women are more dominant than men; women’s images appear more frequently than men's. In dealing with other aspects under study, men and women are depicted symmetrically. The symmetrical representation between men and women suggests the attitude and ideology of gender equality the authors uphold.
Demandas matemáticas para el desarrollo de la formulación de problemas en Educación Infantil
Authors: Carmona Medeiro Enrique , Climent Rodríguez Nuria
Published: October 2024

Esta investigación se centró en la gestión de aula que una maestra realiza durante una tarea de formulación de problemas con alumnado de Educación Infantil (4-5 años). Mediante un estudio de caso único, nos enfocamos en identificar las demandas matemáticas que la maestra establece para favorecer el avance en la formulación de un problema, la actividad del alumnado que las detona y las relaciones entre ambas. Los resultados indican que la mayoría de las demandas matemáticas están orientadas a favorecer el desarrollo del contexto del problema y, revelan que las dificultades que las detonan están ligadas al significado no matemático de problema que prevalece en el alumnado.
Experimental Characterization of Traditional Plaster/ Cement Bricks for Building Applications: Physical and Mechanical Behaviour (Case of Ouargla)
Authors:   University Kasdi Merbah Ouargla, Mokhtari Abdsamed , Chaib Hachem ,   Kasdi Merbah University of Ouargla
Published: October 2024

The aim of the work presented is to study the possibility of using traditional gypsum, which is found in considerable quantities in southern Algeria, to prepare bricks with sufficient mechanical characteristics to qualify them for the various applications and uses in construction. The improvement of the mechanical properties of traditional gypsum was carried out in two phases: The first phase by adding ordinary Portland cement with different mass ratios of 0, 1, 2, 3, 4 and 5%. The results showed that the addition of 2% of (OPC) gave the best value to make the bricks more resistant. The second phase is to study the durability and knowledge of the effect of water on traditional plaster bricks and (OPC). After determining the best C2 sample of 98% traditional plaster and 2% (OPC), these samples were placed in drinking water baths and the others in aggressive water baths in 7 days, 14 days, 21 days, 28 days, 60 days and 90 days. After applying the mechanical tests of all the samples on the specified dates, it was found that the mechanical results increased with time.
A Lean Management Framework for Achieving Sustainability Through Reducing Risks During the Design Process
Authors:   The British University in Egypt, Othman Ayman Ahmed Ezzat , Abdelrahim Sherouk Mohamed ,   The British University in Egypt
Published: October 2024

The building sector is a substantial global industry that plays a significant role in the social and economic advancement of nations. The construction industry has been criticized for its unsustainable practices, including waste generation, pollution, and the consumption of non-renewable resources and energy. Due to the dynamic nature of the construction industry and the involvement of multiple parties with diverse goals, knowledge, and skills, the industry is susceptible tovarious risks that can undermine the sustainability of projects. This research aims to develop a Lean Management (LM) framework to deliver sustainable construction projects through reducing risks during the design process. A research methodology consisting of literature review, case studies and survey questionnaire was designed to achieve the research aim. Firstly, literature review was used to investigate the concepts of sustainability, risks in the design process and LM. Secondly, two case studies were presented and analysed to investigate the role of LM in achieving sustainability in construction projects through reducing the risks of the design process. Thirdly, a survey questionnaire was conducted with a representative sample of Architecture Design Firms (ADFs) in Egypt to investigate their perception and application of LM towards delivering sustainable projects by reducing the risks during the design process. A framework is developed to facilitate integrating LM within the design process to reduce risks during the design process as an approach for achieving sustainability goals. The research identifies 18 design risk factors, their causes and impacts on delivering sustainable project. In addition, it correlated LM tools and techniques that could be used to reduce risks during the design process. Case studies showed that ADFs that adopted LM approach succeeded in achieving sustainability objectives and reducing associated risks. Moreover, data analysis of the survey questionnaire helped ranking the presented risks by the ADFs along with investigating their perception towards using LM within the design process. These findings necessitated acting towards developing a framework to reduce these risks towards achieving sustainability objectives in construction projects.
Experimental Characterization of Design Performance of Sand-Grained Asphalt Concrete for Worn Pavement
Authors:   Kasdi Merbah University, Aissa Bentata , Kebaili Nabil ,   Kasdi Merbah University, Chaib Hachem ,   Kasdi Merbah University, Mohammed Boucherba ,   Kasdi Merbah University
Published: October 2024

Most of the roads in Algeria are flexible pavements, the main component ofwhich is asphalt concrete. Asphalt concrete aggregates made from crushed stone are now expensive and unavailable near roads, favoring the use of local materials such as dune sand, which is abundant in southern Algeria. The aim of this work is to study therheological behavior of asphalt concrete, which is partially made of dune sand, as an alternative to crushed sand currently used. The effect of dune dosage on the rheological properties of concrete, in particular its compaction and rutting resistance, wasdetermined using several formulations. To this end, various asphalt mixtures were tested on different dune sand grains using the Super pave rotary shear compaction (GSC) test by means of a rotary shear press to quantify their effect on compaction. These same asphalt mixtures were used to manufacture inserts for rutting tests.According to the results obtained, very acceptable values of resistance to rutting were achieved with 05 to 15% of dune sands compared to the reference concrete.
Analysis of the Mechanical Properties of Concrete Blocks Reinforced With Glass Particles and Recycled Paper: A Sustainable Approach
Authors:   USAT Av San Josemaría Escriva de Balaguer, Saldaña Jordan Stuar Gonzales , Atoche Victor Manual Tepe ,   USAT Av San Josemaría Escriva de Balaguer
Published: October 2024

The materials to produce concrete blocks (sand, gravel, and cement) are limited resources that are becoming scarce over time due to their increasing demand in construction. On the other hand, the waste of glass and paper is progressively increasing without being fully utilized through recycling. Therefore, the objective of this scientific research is to evaluate the influence on the mechanical properties of masonry concrete blocks made with recycled glass and paper particles. Likewise, the sample was non-probabilistically selected for convenience, consisting of 192 concrete blocks manufactured with additions of 3% (2% glass particles and 1% recycled paper), 6% (4% glass particles and 2% recycled paper), and 9% (6% glass particles and 3% recycled paper), as well as concrete blocks manufactured without additions. According to the results obtained, at 3%, 6%, and 9% addition of glass and paper particles, the absorption decreased by 4.94%, 3.398%, and 3.52% respectively. However, the warping increased between 1.7mm and 1.8mm, while the compressive strength (f'c) increased to 75kg/cm2, 82kg/cm2, and 77kg/cm2, respectively. Similarly, the axial compressive strength (f'm) increased to 91.22kg/cm2, 94.45kg/cm2, and 92.80kg/cm2, and the diagonal compressive strength (V'm) increased by 8.90kg/cm2, 9.70kg/cm2, and 9.70kg/cm2. Nevertheless, the manufacturing cost of masonry units showed a progressive reduction with the amount of glass + paper addition, amounting to 0.57 USD, 0.55 USD, and 0.53 USD. It was also determined that the optimal addition of these materials in the concrete mix in terms of cost and strength is 9% (glass + paper), resulting in compressive strengths of 77kg/cm2, 92.8kg/cm2, and 9.70kg/cm2, with a cost of 0.53 USD per unit. In conclusion, it can be affirmed that adding glass and recycled paper particles in the production of concrete blocks for use in load-bearing masonry walls positively influences the physical and mechanical properties of the blocks. Additionally, it allows for a reduction in manufacturing costs, leading to significant savings for builders.
Shear Capacity of RC Beam with Opening Strengthened Using CFRP Sheet and Plate
Authors:   Universiti Tun Hussein Onn Malaysia, Kin Fai Moi , Ali Noorwirdawati ,   Universiti Tun Hussein Onn Malaysia
Published: October 2024

This paper investigates the use of carbon fibre-reinforced polymer (CFRP) sheets and plates for the bi-directional reinforcement of reinforced concrete beamswith transverse single and double symmetrical openings. The dimensions of the under-reinforced specimens are 1900mm in length, 150mm in width, and 300mm in height, with 3H12 tension reinforcement, 2H6 compression reinforcement, and R6-300 stirrups. This study aims to compare the maximal shear capacity of each CFRP configuration to that of conventional beams andevaluate the deflection profiles, failure modes, strain distribution, and crack patterns under shear loads. The beams are created using in-situ casting, and the openings are treated using post-drilling techniques to simulate real-world procedures. The beam specimens are subjected to a four-point stress test following the application of Sikadur-330 and CFRP. The principal findings indicate that the application of CFRP sheets increases the ultimate shear strength compared to conventional beams with openings, whereas the application of CFRP plates has the opposite effect. Nevertheless, the control beam with no openings has the greatest ultimate shear capacity. In addition, the sheet reinforced CFRP specimens exhibit less deflection than the control beam and conventional beams. The use of both CFRP sheets and plates aids in the transition from shear failure to flexural failure.
The Effect of Adding Recycled Concrete Aggregates on Asphalt Mixture Modified with Tire Rubber Crumbs -An Experimental and Numerical Study
Authors:   University of Aleppo, Masri Kusie , Assi Marwan ,   University of Aleppo, Alsaleh Fatima ,   University of Aleppo
Published: October 2024

The accumulation of huge amounts of rubble and the worn-out tires that resulted from the severe damage to Syrian facilities because of the current war in Syria poses a serious environmental problem. In this research, therefore, asphalt mixtures containing recycled concrete aggregates and an asphalt binder modified with tire rubber crumbs were designed. It also determines the loading cycles until failure on fatigue and rutting of these mixtures by following numerical modeling and using the 3D-Move Analysis program. The results showed an increase in the optimal asphalt ratio, the proportion of air voids and flow with the increase in the proportion of recycled concrete aggregates in the asphalt mixture. Contrastingly, it showed a decrease in both volumetric density and stability with the increase in the proportion of these aggregates in the mixture. With modifying these mixtures with tire rubber crumbs, both of the percentage of air voids and stability increase, while the volumetric density and flow decrease. The results also showed an increase in the fatigue strength of the asphalt mixture with an increase in the proportion of recycled concrete aggregates, while the rutting resistance increased when the mixture was modified with tire rubber crumbs.
Framework of the Mediation Effect of Artificial Intelligence Usage on the Relationship Between Innovation Factors and Organisational Performance
Authors:   Universiti Tun Hussein Onn Malaysia, Alhosani Shamma Ebraheem Esmaeel Saleh , Mohd Safian Edie Ezwan ,   Universiti Tun Hussein Onn Malaysia
Published: October 2024

This paper details a study focused on establishing a framework to examine how Artificial Intelligence Usage mediates the relationship between innovation factors and organizational performance. Before constructing the framework, a Partial Least Squares Structural Equation Modelling (PLS-SEM) mediation model was formulated using SmartPLS software. This model encompasses innovation factors categorized into three groups: marketing, management, and process, treated as independent constructs, while organizational performance serves as the dependent construct, with artificial intelligence usage acting as the mediator. Data for constructing the model were gathered through a questionnaire survey administered to 129 employees of ADNOC, selected via convenient random sampling. The constructed model underwent rigorous assessment of its inner and outer components until meeting predefined fitness criteria. Subsequently, a bootstrapping procedure was employed for hypothesis testing to ascertain the significance level of each relationship path, facilitating the determination of mediation effects. The framework emerged from the results of these mediation effects, indicating that process innovation achieved partial mediation, management innovation achieved full mediation, while marketing innovation showed no mediation effect. This framework is poised to aid ADNOC employees in integrating innovation factors with artificial intelligence usage to enhance organizational performance.