bluuebunny/crossref_metadata_2025 huggingface dataset:
The Moderated Impact of Deviden Policy on Profitability to Firm Values;
Authors: Susetyo Achmad Budi , Febriyanti Novi
Published: March 2024

The increasing public interest in investment, prompting a wider range of investment options, from the money market to the stock market. In the stock market there are quite a number of investment modes, both preferential and ordinary stocks and their derivatives, all of which can be measured from the fundamental side, both in terms of profitability, deviden, to the value of the Company. The study aims to investigate the impact of profitability and dividend policy on the value of the company, whose target company is an indexed issuer of the Jakarta Islamic Index (JII) in the period 2022-2023. Data collection method used using purposive sampling with data sources as secondary data. The analytical tool used in this study is Moderated Regression Analysis. The results of the research show that the deviden policy has a role as a moderating homologizer, which means these variables have the potential to moderate the power of influence between the profitability and value of the company. As for the direction of influence, the deviden policy has a positive impact, where the larger the dividend distributed, the higher the company's value achieved.
Impact of a Screening and Resource Intervention on Social Determinants of Health Outcomes among Mental Health Patients in the Emergency Department
Authors: Brennan Denise
Published: March 2024

Objective:
This study evaluated the impact of a social determinants of health (SDOH) screening and resource connection for adult mental health patients in the emergency department (ED) on identifying the SDOH needs of the ED mental health community, connecting patients with resources, and the outcomes of ED utilization and boarding. Method: A quasi-experimental, pretest - posttest design was employed. Participants were screened by emergency nurses to identify SDOH needs. Patients who identified a need were connected to resources. A two-week follow-up was offered to evaluate resource connections.
Results: There were 36 patients who agreed to participate of 51(70.5%) who were screened. The most prevalent SDOH need identified was transportation (58.3%, n=21). More than one need was identified by 69.4% (n = 25). A SDOH resource intervention was received by 91.6% (n = 33) of participants. Participants were difficult to reach for follow-up. Receipt of SDOH services were reported by 66.6% (n= 8) of participants completing follow-up. Participants reported resources as very helpful (55.5%, n = 5) and 100% (n = 10) of participants completing follow-up endorsed continuation of the program. Emergency department visits and boarding hours were significantly lower in the 3-month post intervention for the participants who received a resource intervention.
Conclusion: Mental health patients have SDOH needs driving health outcomes and ED utilization. Addressing SDOH needs in the ED may lead to less ED utilization and boarding hours. The ED is a viable location for SDOH screening and resource interventions.
Single Laboratory Validation of Four Methods for Quantification of HMF in Honey
Authors: Yıldız Elif , Bayraç Abdullah Tahir
Published: March 2024

Hydroxymethylfurfural or 5-(hydroxymethyl)-2-furaldehyde (HMF) has been absent or found in honey naturally at very low amount. It is formed in honey mainly by heating process and improper storage conditions. HMF has been reported to have cytotoxic, carcinogenic, and mutagenic effects and thus regulatory agencies in many countries impose restrictions on its maximum levels in honey. Validated methods have been required for effective and specific detection and quantification of HMF in food samples. In this study, a single laboratory validation study was conducted on four quantification methods: direct spectral analysis, High Performance Liquid Chromatography (HPLC) analysis, Seliwanoff and Winkler methods. All methods showed linearity with the lowest R2 value of 0.992. Two method performance parameters, accuracy, and precision were satisfied by each four methods with recovery values at 98.2%, 100.2%, 102.5% and 103.3% and RSDr (relative standard deviation) % values at 6.97%, 6.19%, 2.87% and 0.90% for spectral analysis, Seliwanoff, HPLC and Winkler methods, respectively. Based on the measurement uncertainties of four quantification methods, honey samples spiked with HMF at the final concentration of 0.004mg/0.1g were reported as 0.004 mg/0.1g ± 0.00025 mg/0.1g by spectral analysis, 0.0036 mg/0.1g ± 0.000691 mg/0.1g by Seliwanoff method, 0.004 mg/0.1g ± 0.00045 mg/0.1g by HPLC and 0.0039 mg/0.1g ± 0.00022 mg/0.1g by Winkler methods (k=2, confidence level of 95%). The validated methods can quantify HMF in honey with a target concentration of 0.004 mg/0.1g, specifically and accurately.
In vitro Allelopathic Potential of Leaf Water Extracts of Plantago lanceolata and P. major on the Germination of Some Crops
Authors: Yaraş Onur , Yılmazer Nadim
Published: March 2024

Alongside increasing productivity in plant production, reducing crop losses has become a major focus for the struggle of today’s man against hunger. Allelopathy, an ecological phenomenon in which organisms interfere with each other, can be a useful strategy in agricultural systems, especially for weed management. In this study, the allelopathic effects of leaf water extracts from two weed species, Plantago lanceolata and P. major, on the seed germination of some crop plants, including wheat, sunflower, lentil, bean, carrot, radish, and purslane were investigated. In vitro germination assays were conducted to determine the effects of different dilutions of the stock extract on the germination rate. The results of the study showed that as the concentration of the extracts from both weeds increased, germination rates decreased in all crop plants. As to the seeds that were exposed to P. lanceolata extract, the ones with the most inhibited germination were carrot (11.84-100%), purslane (18.53-100%), radish (6.17-98.84%), lentil (13.77-95.56%), sunflower (17.57-94.98%), and wheat (30.12-78.31%). The seeds of beans (28.69-39.15%), on the other hand, were the least affected. Similarly, for seeds exposed to P. major extract, the ones with the most inhibited germination were carrot (4.67-100%), lentil (65.46-99.55%), purslane (25.09-99.24%), radish (48.69-95.51%), sunflower (43.68-93.16%), and beans (20.70-66.80%), while wheat (12.35-60.62%) seeds were the least affected. If purslane and radish are considered as weeds, our findings suggest that higher concentrations of P. lanceolata and P. major extracts can be effective bioherbicides for controlling these weeds.
Disposable Voltammetric Determination of Celestine Blue at a Pencil Graphite Electrode
Authors: Güneş Mehmet
Published: March 2024

The proposed study describes a novel and disposable voltammetric sensor that designed for the sensitive determination of celestine blue (CelsB) using a pencil graphite electrode (PGE). The electrochemical characterization study of the designed sensor was performed by recording the cyclic voltammograms (CVs) and electrochemical impedance (EI) curves in 5.0 mM of Fe(CN)63-/4- including 0.10 M of KCl, and compared with the other carbon-based electrodes such as carbon paste (CPE) and glassy carbon (GCE) electrodes. The electrochemical behaviour of CelsB was examined at different carbon-based electrodes including PGE, CPE, and GCE by the cyclic voltammetric (CV) method. The recorded CVs showed that the remarkable response obtained at PGE toward oxidation of CelsB. Moreover, the PGE shows a wide linear range (4.0 − 150 μM) and detects the CelsB with a notable limit of detection (1.21 μM). In addition, the results from the interference studies proved that the PGE enables selective voltammetric determination of CelsB in presence of various species. A feasibility study for CelsB sensor was also tested on tap water and cherry apple juice samples and the recovery values obtained between 96.2 − 103 % with high precision and accuracy indicated that the PGE shows an acceptable and good applicability to real samples.
Anticancer, Antioxidant, Antimicrobial Activities, and HPLC Analysis of Alcoholic Extracts of Parthenocissus quinquefolia L. Plant Collected from Çanakkale
Authors: Cömert Önder Ferah , Kalın Sevil , Maraba Özlem , Önder Alper , Ilgın Pınar , Karabacak Ersin
Published: March 2024

This study aimed to contribute to revealing the health effects of the Parthenocissus quinquefolia L. (PQ) plant by examining the biological activities of various extracts of the plant. An ethnobotanical important medicinal plant, PQ belongs to the Vine family (Vitaceae) and is known for its medicinal uses. Herein, fruit and leaf alcoholic extracts of the plant exhibited anticancer activity on triple negative breast cancer (TNBC) cell lines, estrogen receptor positive (ER+) (MCF-7), and human colon adenocarcinoma (HT-29) cancer cell lines. Furthermore, fruit methanol extracts displayed strong radical scavenging activity with low IC50 values such as 0.51 mg/mL, 0.80 mg/mL, 0.84 mg/mL, and 1.45 mg/mL. The highest TEAC values (18.72 mM Trolox/mg, 9.90 mM Trolox/mg, and 8.41 mM Trolox/mg) were calculated for the extracts of red leaves. The antifungal activity was determined against Candida albicans as fungal pathogen. The cell apoptosis with methanol extract was obtained between 20 µg/mL and 70 µg/mL for 48 h and 72 h treatments by Hoechst 33258 staining of nuclei under a fluorescence microscopy. HPLC analysis was performed for methanol extracts to determine major bioactive components. Consequently, this plant extracts may guide to new strategies and may be uses in medicinal applications for further investigations.
Recruiting non-respondents for a conversation about reasons for non-response: A description and evaluation
Authors: Haan Marieke , Toepoel Vera , Ongena Yfke , Janssen Björn
Published: March 2024

The decline in survey response rates has become a significant concern in survey research. To address this issue and gain a deeper understanding of non-participation, a research approach was pursued involving semi-structured interviews with non-respondents, guided by survey theories and practical experiences from Statistics Netherlands (SN). Experienced SN interviewers visited 2763 addresses of individuals who initially did not respond to a survey request from one out of six different SN surveys. Non-responding individuals were given another opportunity to participate in a SN survey immediately at their doorstep or by scheduling an appointment. In case of refusal, interviewers presented the option to engage in a qualitative interview study led by the University of Groningen (UG). However, despite concerted efforts by interviewers, none could successfully convince non-respondents to participate in the UG interview study about survey experiences. The inclusion of personal information on a form, particularly those requiring a signature, led to increased refusals and privacy concerns. An evaluation during an expert meeting with SN interviewers suggested three potential strategies for future recruitment efforts: exploring a collaborative approach between SN interviewers and UG researchers, considering incentives, and developing a tailored fact sheet for the UG study to enhance its relevance to potential respondents.
Genetic discrimination of button mushroom Agaricus bisporus by DNA fingerprinting using RAPD marker
Authors: Susmita Saha  , Lija Khatun  , Rima Biswas  , Md. Rezuanul Islam  , Mohammad Minnatul Karim  , Mizanur Rahman  , Akter Jahan Kakon  , Md. Abul Kalam Azad
Published: March 2024

The investigation was conducted for DNA fingerprinting and genetic diversity analysis of five button mushroom strains (Agaricus bisporus-6, Agaricus bisporus-2, Agaricus bisporus-3, Agaricus bisporus-8 and Agaricus bisporus-5) using eight decamer RAPD primers (OPA01, OPA02, OPA03, OPA04, OPA07, OPB17, OPB12 and OPA10). A modified CTAB technique was used to isolate DNA. RAPD analysis resolved 152 scorable bands, 89 bands were monomorphic and 63 bands were polymorphic. The primer OPB17 amplified the highest number of band (30) and OPA01 amplified the lowest number of bands (09). The primer OPA04 produced the 8 polymorphic bands. Thus, it showed higher level of polymorphism (80%). Dendrogram based on linkage distance using Unweighted Pair Group Method of Arithmetic Means (UPGMA) indicated segregated of five button mushroom strains into two main clusters. Only Agaricus bisporus-6 (V1) grouped in cluster 1 (C1) while the major cluster C2 included all other strains, as well as V2 (Agaricus bisporus-2), V3 (Agaricus bisporus-3), V4 (Agaricus bisporus-8) and V5 (Agaricus bisporus-5). At the linkage distance of 50.5, the major cluster C2 formed sub-cluster C2A (Agaricus bisporus-3) and C2B (Agaricus bisporus-2, A. bisporus-8 & A. bisporus-5). Overall results from the dendrogram indicated that the V1 (Agaricus bisporus-6) button mushroom was shown to be outliers in the dendrogram, that is different from other strains because of its unique genetic makeup and high yields of this starin. The present work revealed that the DNA fingerprinting of five button mushroom strains based on RAPD showed significant different among the strains.
Functional results of total knee prosthesis in the treatment of rheumatoid arthritis: A case report of 64 patients
Authors: Hamza Lahlou-Charki  , Jihad Radi  , Kamal Lahrach  , Amine Marzouki  , Fawzi Boutayeb
Published: March 2024

This is a retrospective study of 64 total knee arthroplasties for inflammatory rheumatism, implanted in the Traumatology and Orthopedic Surgery Department (A) of the HASSAN II University Hospital in Fez Morocco, from February 2008 to December 2022. The aim of our work is to demonstrate the value of total knee arthroplasty in improving the quality of life of young patients with inflammatory rheumatic diseases, notably through pain relief and improved joint mobility. Our series included 44 patients, representing 64 arthroplasties. The mean age at the time of surgery was 48 years. All our patients were followed up at the consultation with a clinical and radiological examination. The IKS score was used to assess knee condition before and after surgery. The surgical procedure consisted of total knee arthroplasty using a total knee arthroplasty. Clinical results after a mean follow-up of 60 months were satisfactory, with a marked improvement in the postoperative IKS score.
Insight into Insulin-like Growth Factor-1 Receptor (IGF-1R) gene mutations: Implications for growth disorders and treatment: A review of the literature and case report
Authors: Ashraf Soliman  , Fawzia Alyafei  , Vincenzo De Sanctis  , Nada Alaaraj  , Noor Hamed  , Abdelrhman Bedair  , Shayma Ahmed
Published: March 2024

Background: Insulin-like Growth Factor -1 Receptor (IGF-1R) and its ligand, IGF-1, are crucial for human tissue growth and development. Mutations in IGF-1R and, to a lesser extent, IGF-1 genes lead to diverse growth disorders, characterized by intrauterine growth retardation and postnatal growth challenges. Case report: We present a case of a 6-year-old girl with speech and mild cognitive delays, exhibiting normal motor skills, no neurological issues, and standard vital signs. Her growth parameters indicated significant retardation, with a height standard deviation score (Ht-SDS) of -2 and an IGF-1 level of +1.8 SDS, normal thyroid function and delayed bone age. Genetic analysis identified a 3335 mbp interstitial loss in 15q26.1, encompassing the IGF-1R gene, critical for growth and development. Literature review: Analysis of 34 papers provided insight into the genetic complexities of IGF-1R and IGF-1 mutations. Studies ranged from familial cases to cohort studies, uncovering mutations including missense mutations, deletions, and copy number variations (CNVs), each associated with unique growth disorder phenotypes. Advances in diagnostic techniques like multiplex ligation-dependent probe amplification (MLPA) and whole exome sequencing (WES) have been pivotal in identifying these mutations, facilitating more targeted management approaches. Conclusions: This case and review of literature underscore the importance of an integrated genetic, endocrine, and developmental approach in managing growth hormone deficiency (GHD) and IGF-1 resistance. The variability in growth disorders and response to therapy highlights the need for personalized treatment plans, informed by genetic insights, to optimize outcomes for patients with these complex conditions.
A COMPARISON OF FUZZY TIME SERIES CHENG AND CHEN-HSU IN FORECASTING TOTAL AIRPLANE PASSENGERS OF SOEKARNO-HATTA AIRPORT
Authors: Zahra Latifah , Maiyastri Maiyastri , Rahmi Izzati
Published: March 2024

In some cases, the demand for flights has increased or decreased unexpectedly. Based on this airport as a service provider balance the availability of the service and the needs in the field. To balance all the provided services, the airport needs to predict the total passenger that would visit the airport on consecutive days. Thus, a form of time-series forecast is used in this research. We applied fuzzy time series (FTS) to forecasting total airplane passengers, where there are several logics in FTS including FTS Cheng’s Logic and FTS Chen-Hsu’s Logic. To determine the accuracy of the forecast, use three criteria, namely Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). In terms of modelling and forecasting data, FTS Chen-Hsu’s Logic is better than FTS Cheng’s Logic. This is shown in the value of three accuracy criteria of FTS Chen-Hsu’s Logic are smaller than FTS Cheng’s Logic. Conclusion, FTS Chen-Hsu method can be used as a forecasting model for the total passenger airplane in Soekarno-Hatta International Airport
ITEM ANALYSIS OF HIGH SCHOOL SPECIALIZATION MATHEMATICS EXAM QUESTIONS WITH ITEM RESPONSE THEORY APPROACH
Authors: Arriza Lovieanta , Retnawati Heri , Ayuni Rizki Tika
Published: March 2024

Analysis of item characteristics on test instruments is carried out to determine high-quality items. This study aims to describe the parameters of specialized high school mathematics test items using the IRT approach. It is an exploratory descriptive study employing a quantitative approach. The research subjects were 36 students of grade XI high school who took the specialization mathematics subject. Response data with dichotomous scoring were analyzed using the IRT approach with the R program to obtain information about item parameters and student ability. The results of the model fit test showed that most of the specialization mathematics exam items fit the Rasch model. The results showed that all items met the criteria of good quality because they had good difficulty parameters. Relatively, the test items were suitable for students with abilities between -2.6 and 2.8 logits. This estimation is also supported by the TIF with a maximum value of 3.049 at 0.08 logit ability and SEM of 0.541. Test items that have been proven to be of high quality can be used as examples in both teaching and diagnostic assessments. Further research could consider the discrimination parameter when analyzing the characteristics of the questions.
A SIR-UC EPIDEMIC MODEL: THE ANALYSIS OF SUSCEPTIBLE-INFECTED-REMOVED (SIR) EPIDEMIC MODEL WITH THE COVERAGE OF HEALTH INSURANCE (UNCOVERED AND COVERED INDIVIDUALS)
Authors: Sutanto Sutanto , Saputro Dewi Retno Sari , Christy Alexander Yonathan , Baharum Aslina
Published: March 2024

Susceptible-Infected-Removed (SIR) model is a widely used epidemic model that simulates the spread of infectious diseases within a population. It classifies individuals into susceptible, infected, and removed states, with the number of individuals in each state being time-dependent variables denoted by S(t), I(t), and R(t), respectively. The model considers direct contact transmission between infected and susceptible individuals. In developed countries, some people cannot afford medical treatment. In contrary, the recovery rate of infected individual in the population is directly proportional to the number of people receiving medical treatment. Affordable health insurance increases the number of people receiving medical treatment thus insurance should be considered aspect in epidemic model.  The main purpose of this research is to analyze the effect of insurance on the SIR epidemic model. This research classifies individuals in both S(t) and I(t) based on their insurance coverage status. This model assumes permanent immunity for R(t), thus it is unnecessary to classify individuals in this state based on their insurance coverage status because they do not spread the disease nor have potential to be re-infected. Numerical simulation is organized to find the effect of insurance in SIR model by analyzing the equilibrium point. The result based on the equilibrium point suggests that the insurance in SIR epidemic model: (1) decrease the I(t) because it accelerate the recovery rate; (2) decrease theR(t) because there is less infected people for recovery; (3) increase the S(t) because there is less infected people to transmit the disease, compared to the SIR model without the insurance.
PREDICTIVE DISTRIBUTION TO DETERMINE LEARNING MODEL AT THE STRATEGIC COMPETENCE LEVEL OF STUDENTS IN STATISTICS GROUP COURSE
Authors: Yudhanegara Mokhammad Ridwan , Lestari Karunia Eka
Published: March 2024

The problem of this research comes from a situation or condition that is not static. The description of these problems is the condition of the learning system, which tends to change due to the Covid-19 pandemic, causing learning conditions to be dynamic. From a statistical perspective, the dynamic situation can be modeled using a predictive distribution approach, so its characteristics can be studied. The purpose is to provide policy recommendations on appropriate learning models for lecturers in improving students' strategic competence, which is an ability that students need to master in solving various mathematical problems. The main discussion of this paper consists of three parts: clustering, predictive distribution, and statistical inference. The purpose of clustering is to group students based on test results to determine the level of strategic competence. In addition, clustering is also used as an initial process to predict students' strategic competence level if the learning used is still the same. The benefits of statistical inference in the distribution procedure in this study are used to determine the type of data distribution from each arrival of new information or data. The results of the statistical inference determine whether or not it is necessary to update the learning model of the lecturer. This research produce a new alternative statistical inference needed to make decisions. Based on the simulation results and discussion, the use of a predictive distribution approach to predict dynamic data is very appropriate. Distribution approach can use for detecting changes in new data distribution with historical data for the dynamic condition. If the changes are insignificant, direct instruction can still be used for the learning model in statistics course. A new learning model is recommended for the statistics group course at a higher level when the changes are significant.
MULTILEVEL REGRESSIONS FOR MODELING MEAN SCORES OF NATIONAL EXAMINATIONS
Authors: Nurfadilah Khalilah , Aidi Muhammad Nur , Notodiputro Khairil A. , Susetyo Budi
Published: March 2024

National Exam known as UN score is the final evaluation to determine the achievement of national graduate competency standards in the school. The determinants of the achievement of the standards can’t be separated from the role of schools and local governments in which this regard is known as nested. In the field of statistics, this phenomenon can be described with a multilevel model, where level-1 is the school while level-2 is the district where the school is located. Several multilevel models are used to describe the phenomenon, the result shows that the two-level regression model without interaction is selected as the best model and the variables which affect the UN average scores significantly at level-1 are school status , the ratio between laboratories and students , while the variable at level-2 is expenditure per capita of district/city . From this study, that educational institutions' steps in achieving a graduation standard can be right on the target.
NONLINEAR PRINCIPAL COMPONENT ANALYSIS IN PATH ANALYSIS WITH LATENT VARIABLES MIXED DATA
Authors: Hardianti Rindu , Solimun Solimun , Nurjannah Nurjannah
Published: March 2024

This study aims to obtain the main component score of the ability to pay latent variable, determine the strongest indicators forming the ability to pay on a mixed scale based on defined indicators, and model the ability to pay on time mediated by fear of paying using path analysis. The data used in this study is secondary data from mortgage-paying customers with a sample size of 100. The method used is nonlinear principal component analysis with path analysis modeling. The results of this study indicate that the eleven variables formed by PC1 or X1 are able to store diversity or information by 32.50%, while 67.50% of diversity or other information is not stored (wasted). The credit term is the strongest indicator that forms the ability to pay variable. The variable ability to pay mortgages has a significant effect on payments by mediating the fear of paying late with a coefficient of determination of 80.40%.
PERFORMANCE COMPARISON OF DECISION TREE AND LOGISTIC REGRESSION METHODS FOR CLASSIFICATION OF SNP GENETIC DATA
Authors: Setiawan Adi , Setivani Febi , Mahatma Tundjung
Published: March 2024

This research was conducted to compare the accuracy when decision tree and logistic regression methods are used on some data. Decision tree is one method of classification techniques in data mining. In the decision tree method, very large data samples will be represented as smaller rules, and logistic regression is a method that aims to determine the effect of an independent variable on other variables, namely dichotomous dependent variables. Both algorithms were written and analyzed using R software to see which method is better between the decision tree method and the logistic regression method applied to SNP (Single Nucleotide Polymorphism) genetic data, namely Asthma data. SNP Genetic Data was obtained from R software with the package name "SNPassoc" and the data name "asthma". Asthma data has 57 features, namely Country, Gender, Age, BMI, Smoke, Case control, and SNP (Single Nucleotide Polymorphism) genetic code. Comparative analysis was carried out based on the results of the accuracy values obtained in the two methods. Variations in the proportion of the test data used were 40%, 30%, 20% and 10% and were simulated 1000 times on the grounds of obtaining a better accuracy value. The results obtained show that the decision tree method obtains an accuracy value of 0.5793, 0.5777, 0.5745, 0.5526, respectively, while the logistic regression method is 0.7696, 0.7729, 0.7763, 0.7788, respectively and they are achieved at the proportion of test data of 40%, 30%, 20%, 10%. Thus it can be concluded that in this case the logistic regression method is better than the decision tree method in classifying Asthma data.
RAINFALL FORECASTING OF SALT PRODUCING AREAS IN PANGKEP REGENCY USING STATISTICAL DOWNSCALING MODEL WITH LINEARIZED RIDGE REGRESSION DUMMY
Authors: Sahriman Sitti , Randa Eunike Laurine , Surianda Sitti Aisyah , Hisyam M. Zaky Gozhi , Taufik Muh. Ikbal , Putra Guntur Dwi
Published: March 2024

Pangkep Regency is one of the regions in South Sulawesi that is the center of national salt production. Salt production in the area is still dependent on sea water evaporation so that rainfall is one of the determining factors for the success of salt productivity. Statistical downscaling is an accurate method for rainfall forecasting by linking the local scale rainfall in Pangkep Regency (response variable) with the global scale of the global circulation model/GCM output (predictor variable). However, the GCM output rainfall has a large dimension, which is an 8×8 grid (64 predictor variables), causing multicollinearity. The linearized ridge regression (LRR) method is used to overcome this problem. This method combines the performance of generalized ridge regression and Liu-type methods to reduce multicollinearity. In addition, dummy variables based on the K-means clustering technique were added to the model to overcome heteroscedasticity. The purpose of this study is to obtain the results of rainfall forecasting in Pangkep Regency using the LRR method in the statistical downscaling model. The model generated from the LRR method with dummy variables is better at explaining the variability of rainfall in Pangkep Regency. The  value is higher (72%) than without dummy variables (57%).  The addition of dummy variables in the LLR model has better accuracy in forecasting rainfall. The actual rainfall correlation of Pangkep Regency with has the largest correlation (0.76) with the smallest mean absolute percentage error value (0.49). The results obtained are that the months of May - November tend to have relatively low rainfall, so that salt farmers can produce salt with good quantity and quality.
SMALL AREA ESTIMATION WITH HIERARCHICAL BAYES FOR CROSS-SECTIONAL AND TIME SERIES SKEWED DATA
Authors: Yuniarty Titin , Indahwati Indahwati , Wigena Aji Hamim
Published: March 2024

Small Area Estimation (SAE) is a method based on modeling for estimating small area parameters, that applies Linear Mixed Model (LMM) as its basic. It is conventionally solved with Empirical Best Linear Unbiased Prediction (EBLUP). The main requirement for LMM to produce high precision estimates is normally distributed. The observation unit is food crop farmer households from Sulawesi Tenggara Province to estimate food and non-food per capita expenditure at the district/city level using SAE that has been positively skewed. Applying EBLUP for positively skewed data will result less accurate estimates. Meanwhile, transformation will be potentially result biased estimates. Therefore, the problem of skewed data and small area level in this research was completed by Hierarchical Bayes (HB) on combination cross-sectional and time series under skew-normal distribution assumption. The results obtained were skew-normal SAE HB model was significantly reducing Relative Root Mean Squared Error (RRMSE) than the direct estimation. It indicates that SAE modeling is able to provide a shrinkage effect on the direct estimation results. But, there is slightly different interpretating between direct estimation and skew-normal SAE HB. It is possible because the modeling used assumption that the autocorrelation coefficient is equal to 1 or known as the random walk effect. However, in reality, Susenas is not a panel data, so unit of observation for each time period may be different. Therefore, further research should be compared it with the skew-normal or another skewed distribution that assumes the autocorrelation coefficient is unknown and should be estimated in the model.
K-MEANS AND AGGLOMERATIVE HIERARCHY CLUSTERING ANALYSIS ON THE STAINLESS STEEL CORROSION PROBLEM
Authors: Afrianti Yuli Sri , Pasaribu Udjianna Sekteria , Sulaiman Fadhil Hanif , Angelia Grace , Wattimanela Henry Junus
Published: March 2024

Stainless Steel (SS) is a material that is widely used in various fields because it is resistant to corrosion. However, if SS is exposed to heat at high temperatures for a long period of time, a sigma phase, namely the Fe-Cr compound, will form, which indicates that corrosion has begun. The appearance of this corrosion can be detected through color changes on the SS surface, ranging from light brown to dark blue. Corrosion events will be observed through the distribution of color on the sample surface at the location selected through the SS microstructure image. Cluster analysis will be used to group the colors on the surface of the SS sample through the images used. The results of cluster analysis can be used to identify SS color which indicates the appearance of corrosion in the sample. In this research, we will examine the determination of many clusters for K-Means and Agglomerative Hierarchy with Ward's Criterion, Single, Average, and Complete Linkages. In addition, the model quality measure was tested with Silhouette Coeficient. Single linkage gives the worst results because it gives the impression that only one dominant color appears so it can be said that it is unable to distribute each color to the specified cluster. Likewise with Average because the number of clusters cannot be determined with certainty. On the other hand, the K-Means results are similar to Ward's results, this is reasonable because the basic idea of both is to find the minimum distance between each object and its center, in this case the average is used as the measure of the center, while the results that are most similar to the original image are clustering uses complete linkage. These results can be used as recommendations for academics and practitioners in the fields of Statistics, Mathematics and Materials Engineering in the subsequent analysis process to solve SS corrosion problems.
RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD
Authors: Iriany Atiek , Ngabu Wigbertus , Ariyanto Danang
Published: March 2024

Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method. GWPR is a spatial statistical approach that allows us to understand changes in inhomogeneous rainfall patterns throughout the Malang Regency area. Rainfall data collected from weather stations over several years was used in this study. We use GWR to study the relationship between various environmental factors, such as topography, vegetation, and land use, and rainfall distribution in Malang Regency. The results of the GWR analysis provide a deeper understanding of the spatial differences in the influence of these factors on rainfall. By applying GWR, we can find out how certain factors contribute to different rainfall patterns in certain regions. Rainfall modeling using the Geographically Weighted Poisson Regression (GWPR) method combines the power of Poisson regression in analyzing calculated data with the advantages of GWR in modeling spatial variability. GWPR allows us to identify and map rainfall distribution patterns that vary in geographic space. The main advantage of GWPR is its ability to provide local adjustments and capture the spatial variability associated with rainfall distribution. The results of the modeling analysis show that the GWPR is better, marked by the smallest AIC value, namely 336.84, compared to the generalized poisson regression model, namely 337.76.
Analisis Nilai Kebudayaan Lokal Bugis dalam Cerita Rakyat La Galigo
Authors: Fitriana Fitriana , Yeti Mulyati
Published: March 2024

Penelitian ini bertujuan untuk mendeskripskan nilai kebudayaan lokal Bugis yang terdapat dalam Cerita Rakyat La Galigo. Metode penelitian yang digunakan dalam penelitian ini adalah kualitatif deskriptif. Data penelitian ini diperoleh melalui metode studi Pustaka. Teknik analisis data yang digunakan pada penelitian ini yakni reduksi data, penyajian data, dan penarikan simpulan. Data dalam penelitian ini dianalisis dengan mendeskripsikan nilai kebudayaan lokal Bugis yang terdapat dalam Cerita Rakyat La Galigo. Berdasarkan hasil analisis yang dilakukan, penelitian ini menunjukkan hasil bahwa adapun nilai kebudayaan lokal Bugis yang terdapat dalam Cerita Rakyat La Galigo diantaranya yaitu 1) Nilai sipakatau atau memanusiakan manusia yaitu berupa sikap yang diwujukan dengan berkata dengan penuh kejujuran, menghormati hak asasi manusia orang lain, tidak mengambil hak orang lain dan menghindari permusuhan. 2) Nilai sipakalebbi atau saling menghargai yaitu berupa wujud sikap menghormati yang lebih tua, bersikap ramah, pengunaan sapaan yang baik, dan saling membantu. 3) Nilai sipakainge atau saling mengingatkan yaitu berupa wujud sikap saling menasihati
Penyediaan Rumah Panggung Aman Banjir Bagi Mama Elisabeth Seuk Bete, Warga Jemaat GMIT Ebenhaezer Motaulun Kecamatan Malaka Barat Kabupaten Malaka
Authors: Damaris Y. Koli  , Joni Kanisius Olin  , Selviana Domingga Hoar
Published: March 2024

The flash flood that hit Malacca district as a result of the tropical cyclone storm in several areas of NTT, had a very severe impact on one village, namely Motaulun, located in West Malacca District, Malacca Regency. Motaulun village was the first door to receive water shipments because the embankment was broken not far from the village. Flash flooding is a flood that occurs suddenly and unexpectedly due to very heavy rain in the upstream or due to a broken dam.

 Flash floods with a height of more than 1 meter of water up to the height of an adult's neck for a full day, not only washed away the houses of Motaulun villagers, but also washed away all their belongings. One of the groups affected is the GMIT Ebenhaezer Motaulun Congregation which has 125 families with 270 people.

The only house out of 62 houses located in Lookmi A hamlet is the house belonging to Elisabeth Seuk Bete (78 years old), which was washed away by the flood and all her belongings. The provision of flood-safe stilt houses has the aim of easing the burden of victims while at the same time realizing UKAW's care and concern through community service activities.
Pengenalan Lapangan Persekolahan I Di SMA Negeri 2 Palangka Raya Oleh Mahasiswa Prodi PBSI Universitas Palangka Raya
Authors: Misnawati Misnawati  , Linggua Sanjaya Usop  , Ratna Lisa  , Rania Rania  , Lisa Lisa
Published: March 2024

Introduction to School Field Experience (PLP I) is a process of observation and internship conducted by undergraduate education students to study the aspects of teaching and educational management in educational institutions, which is essential for students. This activity aims to familiarize each student with the atmosphere and activities of schooling through direct observation in relevant schools. The objectives of this activity are to develop education majors' competencies in academic education and their specific field of study, to understand the teaching and learning environment directly in a school setting, and to prepare students to understand and embrace their future profession. Observation activities are carried out through direct observation. The aspects observed during direct observation include: (1) school culture, (2) school organizational structure and governance, (3) school vision and mission, (4) co-curricular and extracurricular activities, (5) school rules and regulations, (6) ceremonial-formal activities, and (7) positive behavioral practices.
Pelatihan Pembuatan Nata De Soya di Kelurahan Ardirejo Sebagai Pemanfaatan Limbah Cair Olahan Kedelai
Authors: Silviyanti Siswoyo Nurul Amalia , Gema Iftitah A.Y
Published: March 2024

The soybean processing industry in Indonesia is growing very rapidly. This is because tofu and tempeh products are very popular with the community. Along with the development of industry, industrial waste pollution is also unavoidable. Therefore, it is necessary to innovate the utilization of waste into products that are useful and of high value, one of which is nata de soya. Tempe home industry "Mbah So", as a tempe craftsman in RT 01 RW 01 Ardirejo is able to produce up to 80 kg of tempe per day. In addition to producing tempeh, the liquid waste produced reaches 500 liters per day. The lack of knowledge about liquid waste treatment by home industry owners causes tempeh liquid waste to be disposed of directly into the river. This causes river water pollution and creates an unpleasant odor. Mrs. PKK RT 01 RW 01 is an IRT who does not work. thus, the empowerment of women is still relatively low. Nata de soya making training is carried out using lecture methods, discussions, direct practice and mentoring. The training ran smoothly and was enthusiastically attended by partners, namely the owner of the Tempe Home Industry “Mbah So” and PKK RT 01 RW 01. The material presented included the potential and impact of liquid waste; tools, materials, and their uses; nutritional content and economic value of nata de soya; as well as the steps for making nata de soya.
Menekan Potensi Bulliying Di Sekolah Madrasah Aliyah Al Jamiatusysyubban Melalui Pendampingan Anti Bullying
Authors: M Ridwan  , Rihatul Jannah  , Ratna Dewi  , Minhatul Ma’rif  , Reni Suwenti
Published: March 2024

To solve this problem requires a lot of involvement between parents, family and the school. Do not let this bullying become a habit and get used to it. It must be addressed and accompanied by many parties and all involved must immediately resolve this bullying problem. There needs to be a knowledge base so that students in Pandeglang feel safe when reporting and feel protected when they become victims. Seeing the many things that have happened, cases in Indonesia, especially in the character education school environment, need to be implemented and implemented, why is this it can happen either because of family factors, environmental factors or peer factors that can cause bullying to occur. an observation showing a research or education that is carried out in a planned, planned, sequential manner, and the objectives to be achieved in an observation are recorded all events and phenomena which are expressed in the results of observations, which are explained in detail, accurately, precisely, accurately, useful and objective matched the experimental observations. Implementation is the existence of an activity, action, action, or system mechanism that leads to the existence of not only an activity, but an activity planned and an activity carried out to achieve a goal.
Pelatihan Digitalisasi Sistem Informasi Manajemen Pelayanan Geraja Di Wilayah GMIT Klasis Kota Kupang Timur
Authors: Alya Elita Sjioen  , Jofret Umbu Soru Peku Djawang  , Mefibosed Radjah Pono  , Gregorius Rinduh Iriane  , Febriyana Tumewu  , Junita Israhel Dethan  , Febriyani Tumewu  , Riyandis Braen Tubulau
Published: March 2024

Management information systems in church services are also a necessity. One of the organizations that need information technology to support ministry is the church, in this case the churches that are in the GMIT Kalasis service area, East Kupang City. Each of the churches that are in the service of the Klass terrorist in East Kupang City has various information such as church profiles, assembly and congregation data, worship schedules, church financial information, articles and other information. Service information at the church is still not optimal because it is only limited to news from church pulpits and social media. The church service management information system which is still manual, namely by using Microsoft Office and the number of documents stored in the form of physical archives or printed documents such as church member registration documents, mourning, baptism, and marriage still uses data collection forms. System like this is less effective because it can make it difficult for church staff in archiving or searching data and is less efficient because it requires quite large operational costs in each year's service budget. Through this activity the results achieved were providing education so that the church could utilize a website-based management information system that can be installed on Android for the church to have as an effective means of information to support church services to congregations and design a management information system needed by the church in support of church ministry.
Pendampingan Wirausaha di Kawasan Kuliner Kelurahan Ledok, Kecamatan Argomulyo Kota Salatiga
Authors: Henry Yuliamir  , Enik Rahayu  , Alleta Dewi Maria
Published: March 2024

The project involves a series of training and consultations facilitated by a team of experts experienced in business management, marketing and entrepreneurship. During the mentoring period, culinary entrepreneurs receive the knowledge and practical skills necessary to increase their operational efficiency, improve product quality and expand market reach. In addition, they are also involved in collaborative sessions that encourage the exchange of ideas and experiences between entrepreneurs in the region.

The results of this assistance include improving menu quality, improvements in financial and inventory management, as well as improvements in marketing and branding of culinary businesses. Participants also reported an increase in their income and increased competitiveness in the local culinary market.

Apart from the positive economic impact, this assistance also provides social benefits by strengthening the local culinary entrepreneurial community and encouraging collaboration between them. These steps aim to maintain sustainable positive development in the Ledok Village culinary area and provide inspiration for the development of micro and small businesses in the surrounding area.

Thus, the "Entrepreneurial Assistance in the Culinary Area of ​​Ledok Subdistrict" project shows the potential to improve the local economy, strengthen the community, and provide positive benefits to the local community. The conclusion of this project provides a positive view of the role of community service in supporting local economic development and community empowerment.
Pengenalan Modalitas Fisioterapi Untuk Penanganan Hipertensi Pada Lansia Di Desa Gatak
Authors: Wijianto Wijianto  , Salma Hira Ayu Setyara  , Azizah Rahma Sarita  , Dwi Mutiara
Published: March 2024

Hypertension is a condition in which abnormally increased blood pressure in the arterial vessels secra continuously for more than one period, according to the WHO, a person is said to have hypertension when the blood pressure reaches >160/95 mmHg and is considered normal. Hypertension can be influenced by lifestyle and diet. There are many ways to cope with hypertension such as a healthy lifestyle and routine health checks to control blood pressure. Another way to deal with hypertension in the elderly is to use physiotherapy modalities, including breathing exercises to help lower blood pressure and fast walking exertions that work through reduced peripheral resistance.
PENGARUH HARGA DAN PROMOSI TERHADAP MINAT KONSUMEN TIANG BETON PADA PT. SENTOSA SAKTI MAKMUR SURABAYA
Authors: Dita Indah Sari  , Sugiharto  , Achmad Daengs GS
Published: March 2024

This study is useful to determine the effect of prices and promotions given to consumer buying interest at PT. Sentosa Sakti Makmur Surabaya. The population in this study amounted to 50 respondents, while the sampling technique used the census method because the population and sample were the same, and the data collection technique used was a questionnaire, while the data analysis technique used the explanatory research method using statistical analysis with regression, correlation, and determination testing. and hypothesis testing. The results of this study that price has a significant effect on consumer buying interest, hypothesis testing is obtained t count > t table or (2.790> 2.012). Promotion has a significant effect on consumer buying interest, hypothesis testing is obtained t count > t table or (4,571>2,012). Price and promotion simultaneously have a significant effect on consumer buying interest with the regression equation Y= 0.471+0.315X1+0.430X2+0.28e, hypothesis testing is obtained F count > F table (60.301> 3.195).