bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE
Authors: Hafid Hardianti , Annisa Selvi
Published: January 2025

Hypertension is a serious concern because of its significant impact on public health, especially in the context of lifestyle changes and specific health conditions. One method for grouping patients based on complex clinical data is the Clustering method. This research type is quantitative, namely taking or collecting the necessary data and then analyzing it using the K-Medoids and K-Prototypes methods. The K-Medoids method is more resistant to outliers and noise than the K-Means method, which is more suitable for this research. The K-Prototypes method can handle mixed numerical and categorical data, effectively grouping hypertensive patients based on different variable categories. This research used the K-Medoids and K-Prototypes grouping methods to categorize patients into risk categories based on gender, age, family history of hypertension, smoking status, pulse rate, and increased systolic and diastolic blood pressure. The Elbow and Silhouette Coefficient methods were applied to evaluate the data and determine the optimal number of clusters for dividing patients into low-risk and high-risk hypertension groups. The analysis revealed that two clusters are the optimal solution. The clustering results show K-Medoids' superiority in grouping data with higher Silhouette Coefficient values ​​compared to K-Prototypes. Overall, the K-Medoids and K-Prototypes algorithms can detect early hypertension risk by dividing patients into different risk groups. Although the clustering results are still weak, these two methods show potential in helping health institutions identify and treat hypertension risk in Indonesia.
A FRACTIONAL-ORDER MATHEMATICAL MODEL OF THE SPREAD OF INFLUENZA
Authors: Akbar Abyan Daffa , Fatmawati Fatmawati , Ahmadin Ahmadin
Published: January 2025

Influenza is an infectious disease that has become a public health concern and affects millions of people every year. In Indonesia, 1,527 people were recorded as being infected with influenza from May 2013 to April 2016. In this article, a fractional-order  mathematical model of influenza spread was formulated in the sense of Caputo derivative. Based on the model analysis, we obtained two equilibrium points: the disease-free and endemic equilibria. The disease-free equilibrium point is locally asymptotically stable if the basic reproduction number is less than one. Meanwhile, the endemic equilibrium point exists and tends to be asymptotically stable whenever the basic reproduction number is greater than one. Next, a sensitivity analysis was carried out to determine whether changes in parameter values affect the increase or decrease in the value of the basic reproduction number. Lastly, the numerical simulation of the fractional-order model is demonstrated to support the analytical results.
FORECASTING RICE PRICES IN TRADITIONAL MARKETS IN BANYUMAS REGENCY USING FUZZY TIME SERIES CHEN
Authors: Sari Dian Kartika , Sa'adah Aminatus
Published: January 2025

Indonesia is one of those countries where a majority of its population earns a living through agriculture. One of Indonesia's largest commodities is rice. Rice prices are a significant indicator in the economy, especially in agrarian areas like Banyumas Regency. Fluctuating rice prices can impact the economic livelihoods of both farmers and consumers in the region. The rapid fluctuations in rice prices and the uncertainty in the future necessitate the need for rice price forecasting. This study employs fuzzy time series to forecast rice prices. The fuzzy time series model used is the Chen model, and the accuracy of the predictions will be evaluated using the MAPE value. Based on the forecasting results using the fuzzy time series method with the Chen model, the predicted rice price for May 2024 is Rp 14,082. Furthermore, the accuracy level of the rice price forecasting using the fuzzy time series method with the Chen model shows highly accurate predictions, with an error based on the MAPE value of 0.957539%. The limitations of this study lie in the use of limited historical data and the assumption that price patterns will follow similar trends in the future. The contribution of this study is the application of the fuzzy time series method to rice commodities in Indonesia, which demonstrates high accuracy in conditions of high price fluctuation, thus providing valuable insights for policymakers and market participants in economic planning within the agricultural sector.
IMPLEMENTATION OF THE SEM-PLS APPROACH TO ANALYZE THE IMPACT OF SOCIAL AID AND APBD ON POVERTY IN THE BOJONEGORO DISTRICT
Authors: Nurdiansyah Denny , Novitasari Diah Ayu , Ridho Sari Lestari Zainal , Utomo Muchammad Chandra Cahyo , Oktafiya Dewi Putri Nur
Published: January 2025

Poverty is the socio-economic condition of individuals or groups whose fundamental rights to maintain and develop a decent life are unmet. The poverty rate in Bojonegoro was 12.21% in 2022. In order to solve this problem, a poverty model is needed to serve as a reference for the further development of Bojonegoro district. This study aimed to determine the impact of social aid and APBD on poverty in Bojonegoro district. The methodology used in this study is his SEM-PLS quantitative research modeling of poverty using the WarpPLS application. The data sources for this study are the following secondary data in the form of Bojonegoro District Poverty Data, Area Appropriations Budget (APBD), and Social Aid (Bansos) from 2019 to 2022. Survey data were accessed online through the official website. Information from the Central Bureau of Statistics (BPS) and Satu Data Bojonegoro website. The results of this study show that SEM-PLS was applied correctly, and satisfactory results were obtained in terms of overall fit size, measured fit size, and structural fit size. The analysis results show that the variable APBD significantly impacts poverty with a proportion of -0.91. It means that the higher the realization of APBD, the lower the existing poverty rate. Social Aid variables up to -0.09 do not significantly impact poverty. It means that the amount of social benefits you receive does not affect poverty. The conclusion is that the factors that influence poverty in Bojonegoro district are its APBD variables.
CRAMER’S RULE IN INTERVAL MIN-PLUS ALGEBRA
Authors: Siswanto Siswanto , Septiany Ade Safira
Published: January 2025

A min-plus algebra is a set ,  where  is the set of all real numbers, equipped with the minimum  and addition  operations. The system of linear equations  in min-plus algebra can be solved using Cramer's rule. Interval min-plus algebra is an extension of min-plus algebra, with the elements in it being closed intervals. The set is denoted by  equipped with two binary operations, namely minimum  and addition . The matrix with notation  is a matrix over interval min-plus algebra with size . Since the structure of min-plus algebra and interval min-plus algebra are analogous, the system of linear equations  in interval min-plus algebra can be solved using Cramer's rule. Based on the research results, the sufficient conditions of Cramer's rule in interval min-plus algebra are  for , and . The Cramer rule is .
APPLICATION OF CLASSIFICATION BASED ASSOCIATION (CBA) FOR MONKEYPOX DISEASE DETECTION
Authors: Pratama Qoria Yudi , Irawan Mohammad Isa
Published: January 2025

Monkeypox is a zoonotic disease that can be transmitted from animals to humans. The monkeypox virus is the cause of monkeypox disease, which belongs to the orthopoxvirus family. Although the mortality rate from monkeypox is not as high as COVID-19, this virus can be the cause of the next global pandemic if the epidemic worsens. Therefore, it is very important to carry out proper surveillance and prevention to prevent the spread of this disease. In this study, researchers developed another method to detect monkeypox disease based on its symptoms using the classification by association (CBA) method. CBA integrates the advantages of classification and association analysis, allowing the classification process and a deeper understanding of the strength of the relationship between features in the dataset through the analysis of metrics such as support and confidence. Based on the results of the experiments in this study, an accuracy of 68.64%, a precision of 92.21%, and a sensitivity of 71.09% were obtained. In this case, the accuracy obtained is still low, but the results of other metrics show that the CBA model performs fairly well in predicting the positive class with high precision.
GEOMETRIC BROWNIAN MOTION WITH JUMP DIFFUSION AND VALUE AT RISK ANALYSIS OF PT BANK NEGARA INDONESIA STOCKS
Authors: Zakiah Ainun , Sulistianingsih Evy , Satyahadewi Neva
Published: January 2025

Investments in stocks are made to make a profit, where the higher the expected profit, the greater the risk undertaken. The return on investing in stocks can be influenced by changes in the price of stocks that are difficult to predict, which can lead to uncertainty in the value of the return and the risk of the stock. The application of the Geometric Brownian Motion (GBM) model with Jump Diffusion is crucial for enhancing the accuracy of stock price forecasting and risk analysis by incorporating price jumps resulting from external events within complex market dynamics. The data used in this study are the closing price data of the daily stock of PT Bank Negara Indonesia for the period 1 December 2022 to 31 January 2024, where the stock return data has a kurtosis value greater than 3 (leptokurtic) so that the data indicates a jump. The GBM with Jump Diffusion model was implemented to predict the stock price with a simulation repetition of 1000 times. The analysis shows that the GBM model with Jump Diffusion has an excellent accuracy rate with the smallest MAPE value of 0.86%. The average value of the VaR with Monte Carlo simulation obtained at the reliability levels of 80%, 90%, 95%, and 99% in a row is 0.96%, 1.53, 1.97%, and 2.64%. This result shows that the higher the confidence level used, the greater the risk.
CLUSTERING DISTRICTS/CITIES IN EAST JAVA PROVINCE BASED ON HIV CASES USING K-MEANS, AGNES, AND ENSEMBLE
Authors: Lusia Dwi Ayu , Salsabila Imelda , Kusdarwati Heni , Astutik Suci
Published: January 2025

Cluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non-hierarchical cluster analysis (K-means), and ensemble clustering. The study found that the ensemble clustering solution forms four clusters, consistent with the results of AGNES clustering. This suggests that ensemble clustering improves the quality of cluster solutions by leveraging both hierarchical and non-hierarchical methods. The grouping of districts/cities based on HIV cases provides a clear distribution pattern for more targeted interventions. The study is limited to HIV cases in East Java Province and may not be generalizable to other regions with different epidemic characteristics. Additionally, the study focuses on clustering methods without investigating temporal changes in HIV case distribution. This research is one of the few studies that applies ensemble clustering to HIV cases in East Java Province. It combines hierarchical and non-hierarchical methods to improve the clustering process and provides a practical approach for regional HIV control planning.
3D MODELING COMPUTATION TO EVALUATE GROYNE STRUCTURE PERFORMANCE: CASE STUDY OF PASSO COASTAL AREA
Authors: Salamena Ganisa Elsina , Salamena Gianita Anastasia , Loupatty Grace , Palembang Citra Fathia
Published: January 2025

Groyne is very important to protect the coastline with the concept of maintaining the balance of sediment transport. Groyne building in theory can work well if worked in groups or more than one. In this study, the Passo beach location was chosen because there is an existing groyne building that, if seen on Google Earth, has been damaged by the scattering of the constituent rocks. If the groyne cannot work to balance the sediment transport, it may occur that mass destruction to the infrastructure behind the groyne itself, such as regional roads, may occur. To find out the level of damage, an in-depth study needs to be carried out. In this paper, Delft-3D mathematical modeling was carried out to investigate groyne damage by looking at the performance of groyne in maintaining the balance of sediment transport in the Passo beach area. Hydrodynamic and coastal sediment modeling analyses were carried out in wet and dry season conditions. Modeling was carried out over one month with a morphology factor of 12 to obtain sediment transport for one year. In the existing dry season conditions, it shows that at the observation point, there is erosion of 2 meters, and in the wet season sediment transport is balanced. It is implied that the groyne structure must be replaced for being surpass the structure lifetime.
IMPROVING CLUSTER ACCURACY IN TUITION FEES: A MULTILAYER PERCEPTRON NEURAL NETWORK AND RANDOM FOREST APPROACH
Authors: Sumin Sumin , Prihantono Prihantono , Khairawati Khairawati
Published: January 2025

Manual classification of Single Tuition Fees (STF) has a high risk of misclassification due to the need for a more in-depth assessment of students' economic criteria. This research uses Artificial Neural Networks (ANN), specifically the Multilayer Perceptron (NN-MLP) model, to detect and correct errors in Single Tuition Fee (STF) classification. This study aims to apply the NN model to identify and correct classification errors in the STF clustering of State Islamic Religious Universities in Indonesia (PTKIN). This research was conducted using exploratory methods and quantitative approaches involving a population of PTKIN students throughout Indonesia. A sample of 282 respondents was selected using a simple random sampling method. The results showed that NN-MLP is an effective tool for identifying and correcting misclassification in determining PTKIN tuition fees with significantly improved classification accuracy characterized by an accuracy value of 71.28% and MSE of 0.287; this model can be used as a basis for developing information systems that are fairer and more accurate in managing tuition fees in higher education. This research also proves that the NN method is superior to traditional statistical methods and simple machine learning in handling complex and diverse data. In addition, the Random Forest model successfully identified the most influential input variables in STF classification. Father's occupation, mother's occupation, number of dependents, and utility bills such as water and electricity significantly contributed to the STF classification. In contrast, variables such as vehicle facilities showed a lower contribution.
APPLIED MODIFIED EXPONENTIAL APPROACH METHOD TO DETERMINE THE OPTIMAL SOLUTION
Authors: Pasaribu Meliana , Helmi Helmi , Pajriah Dwi , Lestari Devi Indah
Published: January 2025

PT. IGM distributes vaccines to several cities within and outside West Kalimantan. Distribution can be carried out directly or through CV. XYZ. To maintain vaccine quality, an effective and efficient vaccine management plan is required, especially for storage and distribution, to prevent any deviations in these processes This is done to ensure the vaccine’s potency remains intact until it is ready for use. Distribution routes are chosen to be as efficient as possible. Therefore, this article discusses the application of the transportation method to manage vaccine distribution and minimize distribution costs. The distribution problem is formulated into a mathematical model and solved using the modified exponential approach method. This method is improvement on the improved Exponential Approach, focusing on the determination of initial solution and table revisions. Allocation is based on selecting cells with the smallest reduced cost entries. Based on research findings, PT IGM distributes vaccines to CV. XYZ, Pontianak and Kuburaya in amounts of 209.000 units, 151.000 units and 310.000 units, respectively. CV. XYZ distributes vaccines to Ketapang, Singkawang, Sintang and Bengkayang in amount of 40.000 units, 55.000 units, 45.000 units, and 9.000 units, respectively.
STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS
Authors: Maulana Dimas Avian , Sofro A'yunin , Ariyanto Danang , Romadhonia Riska Wahyu , Oktaviarina Affiati , Purnama Mohammad Dian
Published: January 2025

Stocks have high-profit potential but also have high risk. Many people have ways to forecast stock prices. The Geometric Brownian Motion (GBM) method forecasts stock prices. The data used in this study are closing stock price data from July 1, 2021 to August 31, 2021 taken from Yahoo! Finance. The stocks used in this research are Bank Rakyat Indonesia (BBRI), Indofood Sukses Makmur (INDF), and Telkom Indonesia (TLKM). A strategy is carried out to improve prediction accuracy by utilising the Kalman Filter (KF). This research will compare the mean absolute percentage error (MAPE) value between GBM-KF, which was manually computed and computed using the Python library. As an example of this research, for BBRI stock, the high GBM MAPE value of 9.02% can be reduced to 3.52% with manually computed GBM-KF and 3.68% with Python library computed GBM-KF. Similarly, INDF and TLKM stocks are showing a significant reduction in MAPE values to deficient levels in some cases. The GBM-KF method employing manual computing may enhance the overall precision of stock price forecasting. Future research may enhance this study by using the GBM-KF model on alternative financial instruments, integrating supplementary market data, or evaluating its efficacy under extreme market conditions.
Development of Creative Alternative Assessments for Mathematics Learning Using a Design Thinking Approach
Authors: Purwosetiyono F.X. Didik , Shodiqin Ali , Wardani Theodora Indriati
Published: January 2025

Abstract. Alternative assessments in mathematics education face several challenges that need to be designed to measure students' abilities holistically. The objectives of this research are: 1) to determine the feasibility of developing creative alternative mathematics assessments using a design thinking approach, and 2) to assess the effectiveness of mathematics learning using alternative assessments with a design thinking approach. The research sample consists of graduate students from the Mathematics Education program at PGRI University Semarang. This study employs the development model proposed by Plomp J and Nieveen N. The development of creative alternative mathematics assessments using a design thinking approach is analyzed through: a) pretest data, b) posttest data, and c) effectiveness analysis, including n-gain calculations (pretest-posttest) and completeness testing. The findings indicate that: 1) the development of creative alternative mathematics assessments with a design thinking approach is deemed feasible for use, and 2) the effectiveness of alternative mathematics assessments using a design thinking approach is evidenced by: a) an increase in the average learning outcomes of students before and after using the creative alternative mathematics assessment with a design thinking approach, and b) student learning outcomes meeting the completeness criteria when using the creative alternative mathematics assessment with a design thinking approach. �Keywords: Development; Alternative Assessment; Mathematics Learning; Design Thinking
Scenario Building by Design: Pathways Towards Anticipative Collaborative Governance  by Design
Authors: Raymond Corbin
Published: January 2025

This article explores how design scenarios can support anticipation, collaborative governance, and democratic decision-making across sectors. In focus is the use of scenario building that is communicated through conceptual and process diagrams, as well as contextual situations of people participating with designed artefacts to illustrate how scenario building can encourage community engagement to address challenges like water security and stewardship. By building on established design practices and literature on scenarios in design, the article proposes ‘Anticipative Collaborative Governance’ as a model for creating long-term, systemic solutions through design. It further contributes to cross-sector collaboration by introducing twelve guiding principles to strengthen connections between anticipatory, systemic, and collaborative design.
Theological and Political Reasons in the Anti-Armenian Polemics in Byzantium (Ninth-Twelfth Centuries)
Authors: Strano Gioacchino
Published: January 2025

Byzantium had an ambivalent attitude towards the Armenians. On the one hand it aimed to condemn the alleged Monophysitism of the Armenian Church, based on theological considerations consolidated by polemical writings. On the other hand, however, Byzantium sought points of conciliation also due to the importance of the Armenian ethnic element, both within the empire and on its borders. My contribution aims to highlight the evolution of the Byzantine positions towards the Armenian Church, from the time of Photios until the twelfth century. Byzantium was careful to affirm its orthodoxy, but also to avoid increasing the reasons for friction and disputes with the Armenians. In the twelfth century, however, the tendency to find points of contact and conciliation emerged, in order to affirm the ties between Byzantium and the Armenians both of Cilicia and Greater Armenia.
Roy's Adaptation Model in Reducing Academic Anxiety in Midwifery Students facing Midwifery Clinical Practice
Authors: Sari Kurnia Indriyanti Purnamasari , Anggraeni Widya , Idayanti Titiek
Published: January 2025

Roy's adaptation model is designed to form an interrelated cycle consisting of input (stimulus), control process (coping mechanism), and output (response or behavior). The purpose of this study was to reduce academic anxiety in nursing students in facing midwifery clinical practice using Roy's model. The research design used a quasi experiment with a population of undergraduate nursing students with a sample size of 100 students. This study analyzed data using the T-test. From the demographic results, it was found that out of 100 respondents aged 20 years as many as 28 (28%), 58 (58%) men, 88 (54.2%) women. The results of data analysis using Shapiro Wilk obtained a probability value of 0.710> 0.05 so it can be concluded that the data is normally distributed. The mean ± SD value of the Academic Anxiety variable before the application of the Roy Adaptation Model is 43.99 ± 5. The mean ± SD value of the Academic Anxiety variable after the application of the Roy Adaptation Model is 192, while after the application of the Roy Adaptation Model is 45.59 ± 5.888. The results of the Paired Sample Statistics T-Test test obtained a value of 4.222 and a p value = 0.001 <0.05, thus the alternative hypothesis is accepted. For future researchers, it is expected to use stronger experimental designs such as randomized controlled experiments, conduct long-term measurements, analyze more complex data, include additional variables such as moderation or mediation and develop academic anxiety instruments.
The Effectiveness of Syzygium Polyanthum to Reduce Blood Pressure in Elderly with Hypertension
Authors: Sari Surya Mustika , Vidia Henny
Published: January 2025

Hypertension is often referred to as the "silent killer". The factors that influence blood pressure are age, gender, high salt consumption, environment (stress), obesity, high coffee consumption, and genetics. One effort to treat hypertension is with pharmacological and non-pharmacological treatment, non-pharmacological treatment by giving boiled bay leaf water to lower blood pressure in hypertension sufferers. The aim of this research was to determine the effectiveness of giving brewed bay leaves to reduce blood pressure in elderly people with hypertension in the work area of ​​the Posyandu for the Elderly in Gayaman Village, Mojoanyar District, Mojokerto Regency.
The type of research used is a Quasy-experimental research design with the design used One Group Pre-Post Test Design. This attempts to reveal cause and effect by involving groups of brewed bay leaves. The population of this study was 45 elderly people in the working area of ​​the Posyandu for the Elderly in Gayaman Village, Mojoanyar District, the sample taken was 40 respondents using simple random sampling. The independent variable in this study was the administration of brewed bay leaves, the dependent variable was blood pressure. The collected data was then tabulated and analyzed using the Wilcoxon statistical test and t-test with a significance level of 0.05. From the results of this research, it was found that in the brewed bay leaf group, before being given boiled bay leaf water, the average MAP (Mean Arterial Preassure) value was 103.67 and after being given boiled bay leaf water, the average MAP (Mean Arterial Preassure) value was 94.67. So it can be concluded that the results of this study are effective in reducing hypertension by administering brewed bay leaves.
HUBUNGAN PERILAKU 3M PLUS DENGAN KEJADIAN DEMAM BERDARAH DENGUE DI WILAYAH KERJA PUSKESMAS PLERED KABUPATEN CIREBON
Authors: Nasywa Naela Hidayatun , Yusuf Ade , Nurhendriyana Herry
Published: January 2025

Virus dengue yang menyebabkan demam berdarah dengue (DBD) menyebar melalui gigitan nyamuk Aedes aegypti. Perilaku masyarakat yang kurang baik dalam mencegah sarang nyamuk (PSN) diduga berhubungan dengan kejadian DBD. Tujuan penelitian ini adalah untuk mengetahui hubungan perilaku 3M Plus dengan kejadian DBD di wilayah kerja Puskesmas Plered yang berada di Kabupaten Cirebon. Penelitian ini dilakukan pada bulan Juni sampai dengan Juli 2024 dengan rancangan penelitian analitik observasional kasus kontrol. Sebanyak 40 kasus DBD dan 40 kontrol dipilih secara berurutan. Data dikumpulkan dengan menggunakan kuesioner, rekam medis, dan uji Chi-square. Hasil penelitian menunjukkan adanya korelasi yang signifikan (P-value=0,002; OR = 4,421) antara kejadian DBD dengan perilaku 3M Plus. Perilaku penting yang dimaksud antara lain mengidentifikasi tempat penampungan air (TPA), membuang barang bekas, menggunakan obat nyamuk, dan tidak menggantung pakaian. Tindakan tertentu yang memiliki keterkaitan kuat antara lain menggunakan obat nyamuk, membuang barang bekas, menentukan tempat penampungan air (TPA), dan tidak menggantung pakaian di dalam ruangan. Di sisi lain, kegiatan seperti menutup rapat TPA, menggunakan larvasida, kelambu, memelihara ikan pemakan larvasida, menanam tanaman pengusir nyamuk, dan mengatur ventilasi tidak menunjukkan keterkaitan yang signifikan. Diharapkan Puskesmas Plered akan meningkatkan edukasi masyarakat untuk pencegahan demam berdarah melalui perilaku 3M Plus yang efektif.
DIGITALIZATION OF LITERARY WORKS FOR TOURISM PROMOTION IN WEST SUMATRA, INDONESIA
Authors: Pratiwi Dyani Prades , Hawa Andina Meutia , Iman Diah Tjahaya , Husna Huriyatul , Ferdinal Ferdinal
Published: January 2025

Tourism literature establishes a reciprocal relationship between literature and tourism, with the digitization of literary works offering significant potential for tourism development. This research explores the use of digitalized literary works as a medium for promoting tourism in West Sumatra, Indonesia. Employing a qualitative descriptive method and a tourism literature approach, the study incorporates a literature review to analyze works related to West Sumatra. These are categorized into various forms of digitalized literature, including electronic books, audiovisual media, and films. The findings demonstrate that technological advancements expand the accessibility of literary works, reaching broader audiences and enhancing the potential for tourism promotion. Digital formats, such as videos shared on social media and films, provide imaginative portrayals of West Sumatra, transforming literary narratives into compelling visual experiences that highlight local tourist destinations. The study concludes that digitalization not only preserves the essence of literary tourism but also amplifies its impact by strengthening promotional strategies. By leveraging digitalized literary works, this approach is anticipated to attract more tourists and elevate the profile of West Sumatra as a vibrant cultural and tourism destination.
COMMAND AND ORDER SPEECH ACTS IN THE MURDER CASE REPORT OF JUDGE JAMALUDDIN
Authors: Safreni Fifi , Suhadi Jumino , Manugeren M.
Published: January 2025

This study applies Searle's speech act theory, as outlined in Levinson (1983), to analyze directive speech acts in the high-profile murder case of Judge Jamaluddin. The research specifically examines how commands and orders issued by the main perpetrator, Zuraida Hanum, influenced her accomplices, M. Jefri Pratama and M. Reza Pahlevi, to commit premeditated murder. Using a qualitative descriptive method, data were sourced from the Medan District Court decision, which includes the defendants’ recorded utterances. The study categorizes directive speech acts based on the speaker's knowledge, intentions, and power dynamics, focusing on how Zuraida's directives were central to executing the crime. Findings reveal that command speech acts were not only pivotal in compelling the accomplices to act but also demonstrated the manipulation and influence wielded by the speaker. This research highlights the importance of speech act analysis in uncovering the linguistic mechanisms behind criminal behavior and underscores its potential applications in forensic linguistics and legal investigations.
STUDENTS' PROFICIENCY IN IDENTIFYING PRONOUNS IN ENGLISH SENTENCES: A STUDY OF SMA SWASTA CERDAS BANGSA
Authors: Perangin-angin Sempa , Lestari Triana , Puspita Clara , Umami Risa , Panggabean Edward , Efrizah Doni
Published: January 2025

Many students struggle to identify pronouns in sentences, a critical aspect of English grammar necessary for constructing clear and coherent communication. Pronouns play a vital role in sentence structure by replacing nouns to avoid redundancy, yet their correct usage poses challenges for learners. This study investigates the proficiency of tenth-grade students at SMA Swasta Cerdas Bangsa in identifying pronouns in English sentences and explores the specific difficulties they face. The research aimed to evaluate students' ability to recognize different types of pronouns and pinpoint areas requiring instructional support. Adopting a case study methodology, the study collected data from 30 students in class X.1 through a 30-item test consisting of multiple-choice and fill-in-the-blank questions. Results showed that only 41% of the students correctly identified pronouns, with common challenges including confusion in pronoun selection and insufficient understanding of pronoun usage. These findings highlight the need for targeted teaching strategies, such as explicit grammar instruction and contextualized exercises, to enhance students' grammatical competence and overall language proficiency.
AN ACOUSTIC ANALYSIS OF THE STRESS ON THE PARTICLE مَا /MAː/ IN QURANIC RECITATION BY NON-ARAB SPEAKERS
Authors: Meliyani Azzah Risti , Al Farisi Mohamad Zaka , Maulani Hikmah
Published: January 2025

This study investigates the acoustic stress of the Arabic particle مَا /maː/ in the recitation of the Quran by non-Arabic speakers, focusing on its various grammatical functions. The study highlights the importance of prosody and tajweed in correctly reciting the Quran, emphasizing the nature of stress in conveying the intended meaning of the verses. While there is rich literature on the semantic and syntactic functions of particles in Arabic, phonetic analysis remains largely unexplored. This study uses a qualitative descriptive comparative method by comparing the pronunciation of non-Arab speakers with native speakers. This research aims to provide a deeper insight into the acoustic characteristics of the recitation of the Quran and positively contribute to learning Arabic and the Quran. The findings show that the stress of the particle مَا /maː/ in Surah `Abasa produces some differences between non-Arabic speakers and native speakers. The mismatch between the stress rule on the ما particle and its grammatical function is evidenced by acoustic values that differ from those of native speakers. While these stress differences do not change the meaning of the verse, they do affect the beauty of the Quranic language. The results of this study can also be a reference for further research in acoustic phonetics. In the end, this research is expected to foster a deeper appreciation of the rhythmic beauty of the Quran.
IS TRANSLANGUAGING LEGITIMATE IN ENGLISH LEARNING?: STUDENTS’ PERSPECTIVES FROM INDONESIA
Authors: Asra Surya , Rahmiati Rahmiati , Nucifera Prima , Fadlia Fadlia , Mawaddah Aina
Published: January 2025

Translanguaging pedagogy is the balance of using two languages in language learning. As in Indonesian context, the practice of integrating Indonesian language (L1) into English classes (L2) or translanguaging practice is very common to happen. Many students think it is useful for them in learning a foreign language. The students perceived the translingual practice is helpful. However, the teachers still think it is an illegitimate practice. Therefore, this research aims to support the idea of using Indonesian language in English language learning and explore its practice for students scaffolding. The method used was a descriptive qualitative using observations, questionnaires, and interviews. The data source for this research was 40 high school students taught by one English teacher, selected purposefully. The findings of this study show that teachers and students engage in translanguaging activities. The teachers and students use Indonesian language for more than half of the entire teaching and learning process. Although, the teacher still felt that the use of Indonesian language is inevitable due to the students' low abilities. Yet, from the student side, this practice received a positive response. Students found it beneficial for understanding English lessons.
Identifikasi Keberadaan Hidrokarbon Menggunakan Inversi Impedansi Akustik dengan Algoritma Artificial Neural Network (ANN)
Authors: Maulana Ansar , Lepong Piter , Sutaji Putri Devina Rayzy Perwitasari , Munir Rahmiati
Published: January 2025

Hydrocarbons are the main energy source in the world, especially in Indonesia, this is what makes hydrocarbons a natural resource that has been extensively explored to determine the presence of hydrocarbons. The exploration used is the Geophysics method, namely the seismic method and the well logging method, both methods are processed to provide an overview of the subsurface. The data processing technique used is acoustic impedance inversion modeling which aims to determine the characteristics of the reservoir based on changes in the acoustic impedance value in each layer. In this study using model-based acoustic impedance inversion using an artificial neural network (ANN) algorithm and the results obtained in the inversion analysis obtained an error of 0.002, so that the model can be used on seismic trace data to produce an acoustic impedance model. modeling section with a value of less than 5000 which may mean that there are hydrocarbons in the research location.
Keywords: Artificial Neural Network, Hydrocarbons, Acoustic Impedance, Inversion.
Penentuan Status Mutu Air Laut Menggunakan Metode Indeks Pencemaran di Perairan Bontang Kalimantan Timur
Authors: Khairunnisa Nia , Mandang Idris , Munir Rahmiati
Published: January 2025

Bontang City is a coastal city in East Kalimantan, directly bordering the Makassar Strait, with numerous residential, industrial, and trade areas along its coastline. These activities can impact the decline in seawater quality in Bontang City's coastal waters. The decrease in seawater quality will diminish the usability, productivity, and capacity of aquatic resources, ultimately reducing the wealth of natural resources. The high human activity along Bontang's coast is feared to cause seawater pollution, affecting the management of seawater quality now and in the future. This research aims to determine the quality status of seawater in Bontang waters using the Pollution Index (IP) method. Water quality sampling took place in September 2021 at 8 research stations and was analyzed at Mulawarman University's Water Quality Laboratory. The results were then compared with seawater quality standards based on Government Regulation No. 22 of 2021. The research findings categorize the seawater quality status in Bontang waters using the Pollution Index (IP) method as lightly polluted at all observation stations, with a range of values 1 > IP > 5. Parameters contributing to this condition are PO4-P and DO that do not meet quality standards. Parameters in accordance with quality standards for marine and port tourism include temperature, salinity, pH, BOD5, NO3N, and NH3-N. The increase in parameters exceeding the maximum quality standards comes from natural sources and industrial waste from high community activities
Analisis Kestabilan Lereng Menggunakan Metode Rock Mass Rating (RMR) Untuk Menentukan Faktor Keamanan Daerah Kaubun, Kabupaten Kutai Timur, Kalimantan Timur
Authors: Sandrianti Aulia , Sanggrita A. Dina , Andini Yunani , Sabrian Panggea Ghiyats
Published: January 2025

Analisis kestabilan lereng merupakan aspek penting dalam perencanaan rekayasa geoteknik, khususnya pada daerah yang memiliki potensi longsor. Salah satu metode yang sering digunakan untuk menilai kestabilan lereng adalah Rock Mass Rating (RMR). RMR adalah sistem klasifikasi batuan yang digunakan untuk mengevaluasi kualitas massa batuan dan mengidentifikasi potensi masalah kestabilan lereng. Penelitian ini bertujuan untuk menganalisis kestabilan lereng dengan menggunakan metode RMR dalam rangka menentukan faktor keamanan lereng. Data yang digunakan dalam analisis meliputi karakteristik fisik dan mekanik batuan, seperti kuat tekan uniaxial, orientasi dan spasi rekahan, serta kondisi kelembaban dan keberadaan air tanah. Hasil dari perhitungan RMR digunakan untuk mengklasifikasikan kualitas batuan menjadi beberapa golongan, yang kemudian dihitung faktor keamanan lerengnya. Faktor keamanan ini dihitung dengan menggunakan analisis keseimbangan batas, yang mempertimbangkan gaya penggerak dan gaya penahan pada lereng. Berdasarkan klasifikasi RMR, lereng dengan nilai RMR tinggi (golongan I dan II) menunjukkan kestabilan yang lebih baik dengan faktor keamanan yang lebih besar dari 1,5, sedangkan lereng dengan nilai RMR rendah (golongan IV dan V) membutuhkan perkuatan dan pengelolaan drainase untuk mencegah potensi longsor. Penelitian ini diharapkan dapat memberikan informasi yang berguna dalam perencanaan lereng dan mitigasi risiko longsor, dengan memberikan pendekatan yang sistematis dan objektif untuk menentukan faktor keamanan lereng berdasarkan klasifikasi RMR.
ANALISIS KERENTANAN LINGKUNGAN MENGGUNAKAN OVERLAY DAN SKORING DAERAH TANI BHAKTI, KECAMATAN LOA JANAN, KABUPATEN KUTAI KARTANEGARA
Authors: Ramadhan M Rafi Nur , Heriyanto Heriyanto , Fredy Ayub , Sulistiawati Sulistiawati
Published: January 2025

Kerentanan lingkungan adalah tingkat kepekaan suatu wilayah terhadap perubahan atau gangguan eksternal, baik alami maupun akibat aktivitas manusia. Hal ini mencerminkan potensi kerusakan yang dapat memengaruhi keseimbangan ekosistem, kualitas hidup, dan keberlanjutan sumber daya alam. Penelitian ini bertujuan untuk mengevaluasi kerentanan lingkungan di Tani Bhakti menggunakan pendekatan overlay dan skoring dengan data satelit dari tahun 2019 dan 2024. Latar belakang penelitian adalah adanya perubahan penggunaan lahan serta dampak lingkungan akibat aktivitas pertanian dan pemanfaatan lahan. Data satelit digunakan untuk memetakan parameter lingkungan seperti NDMI, NDVI, dan perubahan lahan terbuka. Parameter-parameter ini dianalisis dengan metode overlay untuk mengidentifikasi perubahan dalam lima tahun. Skoring kemudian diterapkan untuk menentukan tingkat kerentanan masing-masing parameter dan menghasilkan peta kerentanan lingkungan. Hasil penelitian menunjukkan adanya peningkatan kerentanan di beberapa wilayah yang dipengaruhi oleh konversi lahan dan degradasi vegetasi. Penurunan kualitas vegetasi, kelembapan tanah, dan peningkatan suhu permukaan tanah menjadi indikasi utama. Berdasarkan analisis, kualitas lingkungan di Tani Bhakti telah menurun secara signifikan dalam lima tahun terakhir.
ANALISIS PERUBAHAN MORFOLOGI DENGAN MENGGUNAKAN CITRA SATELIT SENTINEL-1 PADA DELTA MAHAKAM, KALIMANTAN TIMUR
Authors: Hakim Azizul , Ruddin Safar , Rifqi A. Aji M. , Sabrian Panggea Ghiyats
Published: January 2025

Seiring berjalannya waktu, proses alam dan aktivitas manusia mengubah morfologi kawasan, termasuk morfologi Delta Mahakam. Oleh karena itu, penelitian ini membahas tentang perubahan morfologi Delta Mahakam berupa perubahan luas daratan dan badan air di sekitar Delta Mahakam. Proses pengolahan data ini menggunakan citra satelit Sentinel-1 secara bertahap yang meliputi preprocessing, pengolahan, dan analisis. Hasil analisis menunjukkan terdapat perubahan kelas yang signifikan pada musim hujan dan kemarau antara tahun 2016 hingga 2024. Perubahan signifikan tersebut mungkin terjadi akibat perubahan iklim atau sedimentasi di sekitar Delta Mahakam. Perubahan tersebut terlihat jelas pada pengolahan data yang dilakukan.
Cognitive Behavior Therapy to Improve Positive Body Image in Late Adolescents
Authors: Jannah Arini Miftahul , Surjaningrum Endang Retno
Published: January 2025

Adolescent girls frequently face body dissatisfaction due to the physical changes during puberty, leading to a negative body image that can impact eating behaviors, sexual function, self-esteem, and overall quality of life. To address these issues, this study employed cognitive-behavioral therapy (CBT), recognized for its effectiveness in altering unrealistic beliefs and maladaptive behaviors associated with negative body image. The study used a pre-experimental design with pre-test and post-test measurements in a single group. Four late adolescents aged 19-22 years, with low body image scores as measured by the Multidimensional Body Self Relations Questionnaire (MBSRQ), participated in the study. The CBT intervention consisted of five online group sessions, adapted from Thomas F. Cash’s model. The effectiveness of the therapy was evaluated using Cohen's d, which yielded a coefficient of 0.913, indicating a high level of effectiveness. The findings suggest that cognitive-behavioral therapy is effective in enhancing positive body image among late adolescents.

Remaja perempuan sering mengalami ketidakpuasan tubuh akibat perubahan fisik selama pubertas. Ketidakpuasan tersebut dapat menyebabkan citra tubuh yang negatif, mempengaruhi perilaku makan, fungsi seksual, harga diri, hingga kualitas hidup. Oleh karena itu, terapi perilaku kognitif-perilaku yang telah diidentifikasi sebagai pendekatan psikologis yang efektif untuk mengatasi citra tubuh negatif dengan mengubah keyakinan yang tidak realistis dan perilaku maladaptif, digunakan pada penelitian ini. Metode penelitian menggunakan desain pra-eksperimental dengan mengukur pre-test post-test pada satu kelompok. Empat remaja akhir (usia 19-22 tahun) dengan skor citra tubuh rendah yang diukur dengan Multidimensional Body Self Relations Questionnaire (MBSRQ) dipilih sebagai partisipan. Terapi kognitif-perilaku melibatkan lima sesi kelompok yang dilakukan secara daring, yang telah diadaptasi dari model Thomas F. Cash. Analisa data menggunakan uji efektivitas Cohen untuk melihat efektivitas terapi kognitif-perilaku, dan didapatkan nilai koefisien Cohen's d adalah 0,913 yang masuk dalam kategori tinggi. Penelitian ini menyimpulkan bahwa terapi kognitif-perilaku efektif dalam meningkatkan citra tubuh positif pada remaja akhir.
Towards Sustainable Success: The Role of Growth Mindset in Building Grit in Multi-Level Business Marketing Members
Authors: Ramadina Fadillah Rizki , Azis Abdul
Published: January 2025

Long-term success in a multi-level marketing business environment is a dream for members. But given the challenges and high failure rate in MLM business. Grit becomes an important factor for success. Growth mindset, the belief that abilities can be developed through dedication and hard work. Growth mindset is assumed to influence grit, which is a combination of passion and perseverance to achieve long-term goals. This study aims to examine the role of growth mindset in building grit in multi-level marketing business members. The data in this study were obtained through questionnaire answers to respondents. The sample in this study amounted to 135 respondents. Data analysis in this study used simple linear regression analysis. The results of this study indicate a positive effect of growth mindset on grit in mlm members. Growth mindset affects grit in all aspects, namely consistency of interest and perseverance of effort positively. This means that if there is an increase in growth in mindset, the higher the grit will be. The results of the study are expected to contribute to the development of training strategies and self-development for MLM members, so that they can increase their grit and achieve success in business.

Kesuksesan jangka panjang pada lingkungan bisnis multi level marketing menjadi impian bagi member bisnis. Namun mengingat tantangan dan tingkat kegagalan yang tinggi dalam bisnis MLM. Grit menjadi faktor penting bagi keberhasilan. Growth mindset, yaitu keyakinan bahwa kemampuan dapat dikembangkan melalui dedikasi dan kerja keras. Growth mindset diasumsikan dapat mempengaruhi grit, yaitu kombinasi dari passion dan perseverance untuk mencapai tujuan jangka panjang. Penelitian ini bertujuan untuk mengkaji peran growth mindset dalam membangun grit pada member bisnis multi-level marketing. Data pada penelitian ini didapat melalui Jawaban kuesioner pada responden. Sampel pada penelitian ini berjumlah 135 responden. Analisa data pada penelitian ini menggunakan analisis regresi linear sederhana. Hasil pada penelitian ini menunjukkan adanya pengaruh positif growth mindset terhadap grit pada member mlm. Growth mindset mempengaruhi grit pada semua aspek yaitu konsistensi minat dan ketekunan usaha secara positif. Hal tersebut mengartikan apabila terjadi peningkatan pada growth mindset maka akan semakin tinggi grit yang dimiliki. Hasil penelitian diharapkan dapat memberikan kontribusi bagi pengembangan strategi pelatihan dan pengembangan diri bagi member MLM, sehingga dapat meningkatkan grit serta mencapai kesuksesan dalam bisnis.