bluuebunny/crossref_metadata_2025 huggingface dataset:
Phytochemical Estimation of Ethno- Medicinal plant of Asparagus racemosus willd. of Dang area of Dholpur District, Rajasthan (India).
Authors: Meena Dr. Manoj Kumar
Published: February 2024

Abstract: The present work was undertaken to analysis of the phytochemical compounds present in the root, fruit and bark of ethnomedicinal plant of Asparagus racemosus willd. belonging to Liliaceae family in dang area of Dholpur district of Rajasthan. Ethnomedicinal plants have bioactive compounds such as alkaloids, flavonoids, steroids and phenols which are used to curative various human ailments and also play an important role in healing
Human Activity Recognition System with Smartphones Using Machine Learning
Authors: Tholeti Rushasri , Tholeti Harsha
Published: February 2024

Abstract: Human activity recognition (HAR) is a crucial task in the field of physical activity monitoring. It involves the identification of a person's activities and movements using sensors. The accuracy of HAR systems plays a significant role in enhancing physical health, preventing accidents and injuries, and improving security systems. One of the most common approaches to HAR is using smartphones as sensors. However, smartphones have limited processing power and battery life, which can impact the performance of HAR systems. To overcome these challenges, we can apply different machine learning models and compare their performances. We begin by selecting a standard dataset, the HAR dataset from the Machine Learning Repository. We then apply several Machine learning models, including Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN).To compare the performance of these models, we train and test each model on the HAR dataset. We also select the best set of parameters for each model using grid search. Our results show that the Support Vector Machine (SVM) performed the best (average accuracy 96.33%), significantly outperforming the other models. We can confirm the statistical significance of these results by employing statistical significance test methods.The SVM model demonstrated superior performance in recognizing human activities. This highlights the potential of machine learning models in revolutionizing the field of HAR. However, further research is needed to address the challenges of limited processing power and battery life in smartphones and to explore other potential applications of HAR systems.
Crowdfunding Using Blockchain
Authors: Zade Tanmay , Wakode Kuldeep , Panchakshari Ayush , Barad Shantanu , Taley Prof. Shruti
Published: February 2024

Abstract: Crowdfunding is a method of raising funds for innovative projects by collecting small amounts of money from a large number of people, typically through an online platform. However, crowdfunding platforms have certain issues that need to be addressed, such as the lack of investor guarantees and control over contributions. To tackle these problems, this paper proposes the use of blockchain technology to create a decentralized, secure, and private crowdfunding platform. The platform will employ smart contracts to create interactive forms for campaign creation, donation, and approval, enabling both project creators and investors to efficiently raise and manage funds. Additionally, all transactions made on the platform will be recorded on the blockchain, which will provide transparency in the fundraising process and allow donors to track their contributions
Analysis of MOFTP using Modern Zero Suffix Method
Authors: Leema F. Cathrine , Sudha A. Sahaya
Published: February 2024

Abstract: In this paper, a new algorithm is introduced for dealing with the Multi-Objective Fuzzy Transportation Problem (MOFTP) where all parameters such as transportation cost, demand and supply are in triangular fuzzy numbers. The approach involves modern zero suffix method using Harmonic Mean. First the Multi-objective fuzzy transportation problem is converted into a crisp value by using a Robust’s Ranking Method. Then the crisp value is solved by Modern Zero Suffix method. The effectiveness of the data is examined by a numerical example.
“QUICK” - Designing and Developing a Blog Application Using The MERN Stack
Authors: Patel Jap Trusharkumar
Published: February 2024

Abstract: In today's digital age, blogging has emerged as a prevalent means of sharing ideas, experiences, and knowledge across the internet. I made “QUICK” using MERN (MongoDB, Express, React JS and Node JS. My Application not only provides the creation, editing, and deletion of blogs by authors but also build up user experience through advanced features such as categorization, filtering, and search functions. The main focus of this research is to explore how the MERN stack give to the seamless integration of front-end and back-end components. By leveraging React.js for the front end and Express.js and Node.js for the server-side logic, QUICK ensures a responsive and interactive user interface. Moreover, the implementation of features such as category-based organization, filtering options, and robust search, allowing readers to easily discover relevant content based on their preferences. Furthermore, it empowers authors with exclusive rights to edit and delete their own blogs.
Automated Leaf Disease Detection System with Machine Learning
Authors: Vishwakama Ramesh , Yadav Ramashish , Sharma Harsheet , Suman Dr. Saurabh
Published: February 2024

Abstract: This study provides a detailed review of the application of deep learning techniques in plant protection, with a particular emphasis on the detection of crop leaf diseases. Deep learning has received a lot of attention for its success in feature extraction and machine learning, and it has emerged as a major technique in a variety of disciplines such as image and video processing, audio processing, and natural language processing. When applied to the field of plant disease detection, deep learning allows for more objective and efficient extraction of disease traits, boosting research efficiency and technical improvements.Our study seeks to present a synthesis of recent advances in deep learning applied to agricultural leaf disease detection, highlighting current trends and addressing issues in the field. The paper is an invaluable resource for scholars working on plant pest identification. Specifically, our approach uses the Convolutional Neural Network (CNN) algorithm, attaining an outstanding accuracy rate of 97% in disease identification.
Clip Outliner
Authors: Sheikh Nazia , Roy Shreoshi , Rana Dr. Sadhana
Published: February 2024

Abstract: In the contemporary landscape, a substantial volume of video recordings floods the digital realm daily. However, sifting through these extensive recordings has become a challenging endeavor, especially when faced with time constraints. Extracting pertinent information from lengthy videos has proven arduous, often resulting in futile efforts. Clip Outliner strives to offer increased flexibility in downloading transcript summary files while streamlining the automation processes for WhatsApp and email functionalities. To mitigate this issue, the project implements an automated system for summarizing transcripts, enabling swift identification of critical patterns within the video content. By leveraging Python APIs for text transcription and subsequently employing natural language processing (NLP) techniques, the transcripts are succinctly summarized. User Interface is developed using a blend of HTML, CSS, JS, and Bootstrap, with Flask serving as the backend framework in Python. Users can conveniently download the summarized transcripts in formats like PDF and Word, facilitating easy sharing via email and WhatsApp.
Food Adulteration w.s.r. to Garavisha
Authors: Gothwal Suman , Tomar Dr. Brijender Singh , Chawla Dr. Satbir Kumar
Published: February 2024

Abstract: In Ayurveda food is one among the trayopasthambha (pillars of life)1 . Health and diseases both are dependent on food. In todays World food is adulterated with poorer quality ingredients for economic advantages. Due to adulteration in food can lead to serious illness. Food adulteration leads to lower the nutritive value of food either by removing a vital component or adding susbstance of inferior quality. Adulterants when used in illicit drugs are called cutting agents, while deliberate addition of toxic adulterants to food or other products for human consumption is known as poisoning. The combination of different poisonous or non-poisonous substances resulting in deteriorating effects on health comes under the concept of garavisha in Ayurveda2 . One of the forms of garavisha is vishayuktaanna. Its effects may include anaemia, emaciation, GIT problems, neurological problems, liver disorders, oedema etc.
Evaluating the Performance of SPDK-based io uring and AIO Block Device
Authors: Chawda Gaurav , Vijaykar Gauri , Kalavadiya Yash , Kotkar Siddhesh , Potdar Dr. Girish
Published: February 2024

Abstract: In the context of contemporary data processing and storage, this article examines the performance of asynchronous I/O interfaces that are provided by the Linux Kernel. Specifically, this study utilizes an SPDK-based block device module of io uring and AIO which offers features like request queueing and lockless queues. Our benchmarks comparing io uring and aio performance revealed an interesting dichotomy in their handling of random I/O patterns. Both approaches exhibited similar performance trends for random-read operations, showcasing a clear benefit from increasing the IO queue depth. This suggests both methods efficiently leverage parallel processing to boost read throughput. However, the story flips for random-write operations. Unlike read workloads, increasing queue depth for writes yielded no performance improvement. This increase significantly inflated latency, introducing undesired delays.
Research on Cloud Computing
Authors: Patel Dhyan
Published: February 2024

Abstract: Cloud computing represents a pivotal advancement in the IT sector, offering efficient management and distribution of vast amounts of data and resources across the internet. Essentially, it enables accessing IT infrastructure over a network without local installations. Businesses benefit from the flexibility to adjust resource levels according to operational demands, leading to reduced infrastructure costs. Additionally, cloud computing facilitates faster application testing, streamlined management, and adaptable resource allocation. Its widespread application across various contexts underscores its significance in daily life. This paper comprehensively examines cloud computing, encompassing its architecture, characteristics, varieties, service models, advantages, and challenges.
Computer Vision and Image Segmentation
Authors: Patel Dhyan
Published: February 2024

Abstract: Image segmentation is a critical step in image processing, computer vision, and pattern recognition, which involves dividing an image into different regions or segments. Image segmentation plays an essential role in many applications, such as object recognition, medical image analysis, autonomous driving, and robotics. This paper aims to provide an overview of image segmentation techniques, including traditional and deep learning-based approaches. The paper also discusses the challenges associated with image segmentation, such as noise, illumination variations, and occlusions. Finally, the paper provides a brief discussion on the evaluation metrics used to assess the performance of image segmentation algorithms.
Potret Ajaran Tauhid dalam Hadist
Authors: M. Jakfar Tarmizi
Published: February 2024

This article focuses on exploring the depth of the teachings of Tawhid in the Hadiths of Prophet Muhammad SAW and their influence on individual Islamic practices. Through an analytical approach to related hadiths, this study aims to answer three critical questions: (1) What is the position of Tawhid teachings in the Hadiths of Prophet Muhammad SAW?; (2) What criteria for Islam protect an individual's soul and blood from the perspective of the hadiths?; and (3) How do the Hadiths of Prophet Muhammad SAW assess the religious status of a Muslim who commits sins? The findings of this study indicate that Tawhid plays a fundamental role in forming and understanding Islam, where the proclamation of the Shahada is emphasized as the main foundation. This research reveals that faith in Allah SWT is an absolute prerequisite for the acceptance of all other acts of worship. Furthermore, the study observes that while sinful actions do not erase one's Islamic status, the act of shirk (associating partners with Allah) can eliminate that religious status. However, the door of repentance is always open to every Muslim. These findings affirm the importance of the teachings of Tawhid as the core of religious practice.AbstrakArtikel ini berfokus pada eksplorasi kedalaman ajaran tauhid dalam hadis Nabi Muhammad SAW dan pengaruhnya terhadap praktik keislaman individu. Melalui pendekatan analitis terhadap hadis-hadis terkait, studi ini bertujuan menjawab tiga pertanyaan kritis: (1) Apa posisi ajaran tauhid dalam hadis Nabi Muhammad SAW?; (2) Bagaimana kriteria keislaman yang menjaga jiwa dan darah seseorang dalam pandangan hadis?; dan (3) Bagaimana hadis Nabi Muhammad SAW menilai status keberagamaan seorang muslim yang berbuat dosa? Hasil kajian ini menunjukkan bahwa tauhid berperan fundamental dalam pembentukan dan pemahaman keislaman, di mana pengucapan syahadat ditekankan sebagai fondasi utama. Penelitian ini mengungkap bahwa keimanan kepada Allah SWT adalah prasyarat mutlak untuk penerimaan seluruh amal ibadah lainnya. Lebih lanjut, studi ini melihat bahwa meskipun perbuatan dosa tidak menghapus status keislaman seseorang, perbuatan syirik dapat mengeliminasi status keberagamaan tersebut. Namun, pintu taubat selalu terbuka bagi setiap muslim. Temuan ini menegaskan pentingnya ajaran tauhid sebagai pusat dari praktik keagamaan.
The Influence of Self-Directed Learning Assisted by Modules on Mathematical Literacy in Terms of Students' Learning Independence
Authors: Man Youlanda L , Hidayah Isti , Nino Adhi Nuriana Rachmani Dewi
Published: February 2024

This research aims to see the effect of self-directed learning assisted by modules on students' mathematical literacy based on students' learning independence. The experimental design used in this research is factorial experimental. The population in this study were all tenth-grade students at MA Plus Walisongo Kotabumi. The samples in this study were students of class X MIA 1 as the experimental and students of class X MIA 2 as the control class for each class of 32 students. The data were subjected to analysis using a two-way ANOVA test. The findings in this research are: 1) there is an influence of self-directed learning assisted by modules on students' mathematical literacy; 2) there is an influence of high, medium, and low learning independence categories on students' mathematical literacy; 3) there is an interaction between self-directed learning assisted by modules and the category of independent learning on students' mathematical literacy.
Dosimetric comparison of 3D-Conformal and IMRT techniques used in radiotherapy of gastric cancer: A retrospective study
Authors: Gul Osman vefa , Demir Hikmettin , Kanyilmaz Gul , Cakır Tahir
Published: February 2024

This study aimed to compare three-dimensional conformal radiotherapy (3D-CRT) and intensity-modulated radiotherapy (IMRT) planning techniques commonly used in gastric cancer radiotherapy with dose volume histograms. Computed tomography (CT) images of 20 gastric cancer patients were retrospectively analyzed. 3D-CRT, 5F- IMRT and 7F- IMRT treatment plans were created for each patient. The 3 plans were compared on dose volume histogram (DVH). 3D-CRT, 5F-IMRT and 7F-IMRT plans achieved a prescribed dose of 45 Gy for 95% of PTV volume. D95 values were 45.06±0.47 Gy for 3DCRT, 46.39±0.38 Gy for 5F-IMRT and 45.20±0.11 Gy for 7F-IMRT. In 3D-CRT, 5F-IMRT and 7F-IMRT techniques, the 13 Gy receiving volumes of the right kidney were found to be 35.08+9.59, 36.25+7.97 and 37.03+9.03 respectively. Moreover, the volume of the right kidney receiving a 20 Gy and 30 Gy dose received less dose with 5F-IMRT than with 7F-IMRT. Since each patient's critical organs are at different distances from the target and each technique has its own advantages in terms of critical organs, we suggest that the useful technique should be decided by clinical consensus.
Quality Management System and Audit Quality: The Moderating Effect of Independent Audit Inspection in China
Authors: Zheng Yuqing , Sulaiman Noor Adwa , Shahimi Suhaily
Published: February 2024

Research aim: This study examines the effect of quality management systems (QMS), in terms of leadership responsibility, relevant ethical requirements, human resource, engagement performance, and monitoring, on audit quality (AQ). Also, this study examines whether independent audit inspection moderates the relationship between QMS and AQ. Design/ Methodology/ Approach: A total of 414 external auditors working in Chinese accounting firms responded to the online survey questionnaires. Research finding: By using SmartPLS as a tool for data analysis, the results showed that all elements of the quality QMS have positive effect on AQ. However, it failed to establish the moderating effect of an independent audit inspection on QMS and AQ. Theoretical contribution/ Originality: This study contributes to elucidating the significance of QMS in promoting AQ, as well as shedding light on the ongoing debate regarding the impact of independent audit inspection on AQ. Practitioner/ Policy Implication: Public accounting firms and regulators should focus on improving QMS to ensure high audit quality.
Demos un giro a la crianza: familia y escuela construyendo puentes de paz
Authors: Arce-Sandí Ana Gabriela
Published: February 2024

Uno de los aspectos importantes que competen a cada familia es el deber de criar, una de sus principales responsabilidades desde la institución de la patria potestad; sin embargo, preocupa que el ejercicio de esta se realice de manera negligente, autoritaria o violenta. El uso del castigo físico y humillante se ha naturalizado en la cotidianidad de la sociedad costarricense y las dinámicas familiares cambiantes representan una justificación para perpetuar su uso, por la necesidad imperante de corregir conductas consideradas inadecuadas. No obstante, lejos de modificar comportamientos, se crean hábitos que se reproducen en otros espacios, tales como los centros educativos. Esta situación produce la necesidad de que ambos actores sociales (familia y escuelas) unan sus esfuerzos y se conviertan en educadores para la paz. Se da una mirada a las realidades, a los patrones de crianza costarricense y a la posibilidad de armonizar la crianza y la educación formal para alcanzar una convivencia pacífica.
Prediksi Jumlah Penerbitan Sertifikat Tanah Pada Kantor Badan Pertanahan Nasional (BPN) Kabupaten Aceh Tamiang Tahun 2022
Authors: Hafipah  , Sari Riezky Purnama , Utari S.R.F. , Putra Aulia Zulhaiqal
Published: February 2024

Perubahan jumlah penerbitan sertifikat tanah pada kantor badan pertanahan nasional dipengaruhi oleh kurangnya pengetahuan dan kepedulian masyarakat terhadap sertifikat tanah,oleh karena itu pemerintah dan badan pertanahan nasional lebih tegas lagi dalam sosialisi kepada masyarakat tentang pentinngnya sertifikat tanah. Peramalan merupakan kegiatan memperkirakan atau memprediksi apa yang akan terjadi pada masa yang akan datang, sedangkan ramalan adalah suatu kondisi yang diperkirakan akan terjadi pada masa yang akan datang. Dalam penelitian ini dilakukan prediksi jumlah penerbit sertifikat tanah di BPN kabupaten Aceh Tamiang dengan menggunakan metode kuadrat terkecil.Data dalam penelitian ini menggunakan data sekunder dari kantor BPN kabupaten aceh tamiang. Obyek penelitian yang dipakai sebanyak 36 data jumlah penerbit sertifikat tanah.BPN kabupaten Aceh Tamiang  Data akan dianalisis menggunakan menggunakan Ms.Excel. Hasil penelitian menunjukkan jumlah penerbit sertifikat tanah di BPN kabupaten Aceh Tamiang Mengalami Penurunan Pada Setiap Bulannya ,dan Jumlah Total Penerbit Sertifikat Tanah Pada Tahun  2022 sebesar (26135) dengan MAPE sebesar 12,04%.

Kata Kunci:Metode Kuadrat Terkecil,Sertifikat Tanah,MAPE .
Sistem Dinamik Penyebaran Coronavirus Disease Dengan Mempertimbangkan Vaksinasi
Authors: Rasyid Kamelia , Achmad Novianita , Nuha Agusyarif Rezka , Resmawan Resmawan , Mahmud Sri Lestari , Nashar La Ode , Asriadi
Published: February 2024

Coronavirus Disease (COVID-19) adalah jenis penyakit menular yang disebabkan oleh coronavirus jenis baru yang ditemukan pada tahun 2019 yang selanjutnya disebut Sars-Cov 2 (severe acute respiratory syndrome coronavirus 2). Tujuan penelitian ini adalah membangun model matematika, penentuan titik tetap, mencari analisis kestabilan titik tetap, menentukan nilai bilangan reproduksi dasar  membuat simulasi model, dan interpretasi biologis. Hasil analisis terhadap dua titik tetap diperoleh titik kesetimbangan bebas penyakit akan stabil asimtotik apabila R0 < 1, sedangkan titik kesetimbangan endemik akan stabil asimtotik apabila R0 > 1. Selanjutnya, untuk mengilustrasikan dinamika penyebaran penyakit dilakukan simulasi numerik yang memberikan interpretasi bahwa peningkatan pemberian vaksin adalah cara yang bisa dilakukan untuk mengurangi penyebaran penyakit COVID-19.
Penyelesaian Persamaan Diferensial Menggunakan Metode Runge Kutta Orde Keenam Dengan Algoritma Paralel
Authors: Al Fajri Iman , Hendra  , Kusuma Jeffry , Musdalifah Selvy , Nacong Nasria , Sain Hartayuni , Arsal Armayani
Published: February 2024

Penelitian tentang paralelisasi terus mengalami perkembangan saat ini, termasuk dalam perhitungan numerik. Pada tulisan ini akan dibahas penyelesaian persamaan diferensial menggunakan metode Runge-Kutta orde keenam dengan algoritma paralel. Makalah ini menyajikan penurunan dari metode Runge-Kutta orde keenam yang cocok untuk implementasi secara paralel. Pengembangan model paralel didasarkan pada struktur ketersebaran. Hasil perhitungan dengan model paralel kemudian akan dibandingkan dengan model sekuensial dari sisi akurasi dan waktu eksekusi. Pehitungan numerik menunjukkan bahwa metode paralel lebih mendekati solusi analitik, artinya akurasinya lebih baik. Ditinjau dari sisi waktu eksekusi, metode paralel juga memiliki keunggulan dibandingakan dengan metode sekuensial, yaitu lebih cepat.
Prediksi Jumlah Kasus Schistosomiasis Di Kabupaten Poso Sulawesi Tengah
Authors: Ulan Rahmawati  , Resnawati  , Maulidyani Abu  , Puspita Juni Wijayanti
Published: February 2024

The prevalence of Schistosomiasis cases in Poso Regency specifically in Napu and Bada changes every year and in 2021 there was a significant increase in cases. Therefore it is necessary to predict cases in 2022 or the 13th and 14th semesters using Lagrange extrapolation. The prediction results of the cases number in Napu in 13th and 14th semesters are 461 and 5445 for humans, 12442 and 43045 for snails, and 1370 and 4789 for rats respectively. The prediction results in Bada in the 13th and 14th semesters are 202 and 984 cases for humans, -804 and -2863 cases for snails, and -251 and -890 cases for rats respectively. The Lagrange polynomial errors are −0,16335 × 10−5   and −0,8629 × 10−5 for the 13th and 14th semesters for humans, 0,578 × 10−7 and 0,2288 × 10−7 the for 13th and 14th semesters for snails and rats. Some of the predictions were unrealistic, so the Lagrange extrapolation method is not appropriate for predicting Schistosomiasis cases.
Klasterisasi Perusahaan Sektor Energi Berdasarkan Rasio Kinerja Keuangan dengan Metode Fuzzy C-Means
Authors: Sriwirdani Aisyah , Ahmad Defri
Published: February 2024

The increasing number of companies on the Indonesia Stock Exchange means that there are more investment options for investors, causing investors to be confused about choosing the right company to invest in. Investors need to avoid mistakes in investing, one of which is by analyzing the company's financial performance ratios. In this study, companies in the open energy sector will be grouped based on financial performance ratios using the Fuzzy C-Means method. The results of this clustering can be used as material for consideration for investors wishing to invest in the open energy sector. The Fuzzy C-Means method is a method for grouping objects where the presence of cluster members is based on the degree of fuzzy membership. The ratios to be used are Earning per Share (EPS), Price Earning Ratio (PER), Return on Assets (ROA), Return on Equity (ROE), and Net Profit Margin (NPM). The number of clusters to be formed is 2 clusters. The calculation results obtained are that there are 46 companies in Cluster 1 and 22 companies in Cluster 2. Based on the analysis of cluster characteristics, cluster 2 is a cluster that contains companies with high financial ratios with the highest ratio value being Earning per share and net profit margin This means that the financial performance of companies in this cluster is quite good.
Penerapan Algoritma Fuzzy C-Means Untuk Pengelompokkan Kemiskinan Di Kabupaten/kota Provinsi Aceh
Authors: Sukardi Miftakhul Kharis , Indah Manfaati Nur
Published: February 2024

Kemiskinan telah menjadi masalah yang tidak asing lagi bagi Indonesia. Meski begitu, masalah puing-puing sampai saat ini masih menjadi masalah yang larut-larut. Penelitian ini bertujuan mengelompokkan kabupaten provinsi Aceh berdasarkan angka kemiskinan tahun 2021 menggunakan data mining fuzzy cmans. Karena provinsi Aceh termasuk dalam 5 provinsi termiskin di Indonesia. Penambangan data dikenal sebagai teknik yang digunakan untuk mengungkap pola tersembunyi dalam kumpulan data dengan tujuan menghasilkan wawasan baru. Teknik data mining salah satunya yaitu clustering. Clustering adalah teknik data mining yang digunakan untuk mengelompokkan data berdasarkan kemiripannya ke dalam kelompok-kelompok yang dikenal dengan cluster. Terdapat beberapa algoritma yang digunakan dalam klasterisasi, salah satunya adalah algoritma Fuzzy C-Means (FCM) Clustering. Algoritma FCM dapat membantu pemerintah dalam strategi pengentasan kemiskinan dengan menyesuaikan manajemen strategi mereka untuk kelompok-kelompok tertentu. Hasil penelitian menunjukkan tiga kelompok dengan distrik-distrik yang berbeda pada setiap kelompok. Validasi metode FCM menunjukkan kualitas yang baik dengan nilai Fuzzy Silhouette Index (FSI) sebesar 0,537. Modified Partition Coefficient Index (MPCI) juga menunjukkan kualitas kelompok yang baik dengan nilai 0,441. Davies Bouldin Index (DBI) menunjukkan nilai 1.074 yang menunjukkan hasil clustering cukup baik karena nilai validasi DBI berkisar antara 0 hingga tak terhingga. Hasil penelitian menunjukkan tiga kelompok dengan distrik-distrik yang berbeda pada setiap kelompok. Validasi metode FCM menunjukkan kualitas yang baik dengan nilai Fuzzy Silhouette Index (FSI) sebesar 0,537. Modified Partition Coefficient Index (MPCI) juga menunjukkan kualitas kelompok yang baik dengan nilai 0,441. Davies Bouldin Index (DBI) menunjukkan nilai 1.074 yang menunjukkan hasil clustering cukup baik karena nilai validasi DBI berkisar antara 0 hingga tak terhingga. Hasil penelitian menunjukkan tiga kelompok dengan distrik-distrik yang berbeda pada setiap kelompok. Validasi metode FCM menunjukkan kualitas yang baik dengan nilai Fuzzy Silhouette Index (FSI) sebesar 0,537. Modified Partition Coefficient Index (MPCI) juga menunjukkan kualitas kelompok yang baik dengan nilai 0,441. Davies Bouldin Index (DBI) menunjukkan nilai 1.074 yang menunjukkan hasil clustering cukup baik karena nilai validasi DBI berkisar antara 0 hingga tak terhingga.
Analisis Korelasi Faktor – Faktor Yang Mempengaruhi Tingkat Pendapatan Kepala Keluarga
Authors: Auw Desi Natalia , Hafizah Siti , Leki Aina Mardina , Makalbani Aloria , Loban Jeni M
Published: February 2024

Penelitian terkait bertujuan untuk mengukur korelasi antara jumlah anggota keluarga(X1), usia (X2), dan pendidikan (X3) terhadapap pendapatan (Y) setiap kepala keluarga, Penelitian ini dilakukan di Desa Alaang, Kecamatan Alor Barat Laut, Kabupaten Alor, dan data yang digunakan merupakan data primer yang diperoleh langsung di desa dengan menggunakan angket. Jumlah total 285 kepala keluarga yang menjadi responden. Dengan variabel yang digunakan yaitu jumlah anggota keluarga (x1), usia (x2), pendidikan (x3), dan pendapatan (y). Teknik analisis data yang kami gunakan adalah analisis korelasi spearman dimana korelasi Rank Spearman atau yang biasanya disebut dengan Spearman Rank Correlation Coefficient merupakan salah satu penerapan koefisien korelasi dalam metode analisis data statistik non parametrik. Statistik non parametric ini merupakan suatu ukuran asosiasia atau hubungan yang dapat digunakan pada kondisi atau kedua variabel yang diukur adalah skala ordinal (berbentuk ranking) atau kedua variable adalah kuantitatif namun kondisii normal tidak terpenuhi. Data korelasi dapat dihitung  ranking data terlebih dahulu menggunakan  bantuan MS.Excel dan software SPSS 16.0.

Hasil penelitian menunjukan bahwa dari variabel-veriabel yang ditentukan  terdapat hubungan yang signifikansi dimana hubungan antara variabel jumlah anggota keluarga (X1) dan pendapatan (Y) terdapat hubungan yang sangat rendah, sedangkan antara variabel usia (X2) dan variabel pendapatan (Y) terdapat hubungan yang linier yang cukup kuat serta pendidikan (X3) dan pendapatan (Y) terdapat hubungan yang sangat rendah.

Kata Kunci     : Pendapatan, Korelasi, Sperman.
Prediksi Tingkat Inflasi Di Indonesia Menggunakan Metode Average Based Fuzzy Time Series
Authors: Nurul Ikrima  , Agus Indra Jaya  , Abdul Mahatir Najar  , Hajar
Published: February 2024

Inflation is a very important indicator in maintaining the stability of the country's economy, so it is necessary to predict the inflation rate to determine the movement of the inflation rate in the future. To predict the inflation rate in Indonesia in 2023, this research uses the Average Based Fuzzy Time Series (FTS) method based on Python programming. This method uses the principle of fuzzy set as the basis of its calculation. The data used in this study are monthly data on inflation rates in Indonesia for the period January 2013 - December 2022 obtained from the official website of Bank Indonesia (BI). The results showed that the prediction of the inflation rate in Indonesia in 2023 was in the range of 5.23% - 5.51% with the highest inflation value occurring in April and the lowest inflation value occurring in January. The accuracy level of the Average Based FTS method is calculated using the Mean Absolute Percentage Error (MAPE) of 0.820849835% which indicates that the method can be used to predict the inflation rate.

Keywords        : Average Based, FTS, Inflation, Prediction, Python
Pemodelan Kasus Balita Stunting Di Provinsi Sulawesi Tengah Menggunakan Robust Geographically Weighted Regression
Authors: Gamayanti Nurul Fiskia , Nur'eni  , Fadjryani  , Difa Shalsabila
Published: February 2024

Stunting pada balita merupakan kasus yang semakin berbahaya bagi balita. Dimana kasus tersebut dapat mengakibatkan kematian pada penderitanya. Jumlah kasus kejadian stunting balita di Sulawesi Tengah terus meningkat setiap tahunnya. Pada pemodelan kasus balita stunting di Sulawei Tengah dibutuhkan pemodelan khusus dimana pada kasus tersebut  terdapat keragaman spasial dan terdapat data pencilan sehingga dibutuhkan penanganan khusus yaitu model yang dapat mengakomodasi keragaman spasial dan pencilan tersebut yaitu Robust Geographically Weighted Regression (RGWR). Pada hasil penelitian ini diperoleh 13 model kasus balita stunting untuk masing-masing kabupaten/kota di Sulawesi Tengah. Dimana tingkat akurasi dari model yang diperoleh sebesar 12,60% artinya model RGWR yang diperoleh telah sesuai dan efektif dalam memodelkan kasus balita stunting di Sulawesi Tengah
Analisis Faktor-Faktor yang Mempengaruhi Volume Produksi Padi Provinsi Aceh
Authors: Nurviana  , Nirmala Sari  , Ulya Nabilla
Published: February 2024

The agricultural sector has a very significant contribution to the achievement of the Sustainable Development Goals (SDG's) and is also the second largest contributor to Gross Domestic Product (GDP). Aceh's agricultural sector excels in various commodities such as rice, corn, soybeans, and chili. One of the main commodities in Aceh's agricultural sector is rice. Rice is a staple food commodity for the Indonesian people whose needs continue to increase along with the increase in population and also as a source of income for the farming community in meeting their needs. The volume of rice production from year to year fluctuates greatly, experiencing a decrease or increase. the realization of the rice harvest from January to December 2022 amounted to 271.75 thousand hectares, or decreased by around 25.31 thousand hectares (8.52 percent) compared to 2021 which reached 297.06 thousand hectares. The purpose of this study is to analyze the factors that affect the volume of rice production in Aceh Province. The results of the study obtained a regression model Y = 556505,224 + 3,081 X1-1376,14 X2 + 139,57 X3 + 92,797 X4-1,019 X5. The results of the simultaneous test show that the harvest area, rainfall, irrigation area, seed use, and labor together or simultaneously have a significant effect on rice production at a significance level of 0.05. Partially, the variable that has a positive and significant effect on rice production is the variable of harvest area. In addition, the variable area of irrigation and the use of seeds also have a positive effect on rice production but not significant. Meanwhile, the variables of average rainfall and labor have a negative effect on rice paddy production.
Estimasi Peluang Gempa Bumi Menggunakan Metode Maksimum Likelihood Dan Distribusi Poisson Di Wilayah Sulawesi Tengah
Authors: Jamidun  , Nur'Eni  , Rais
Published: February 2024

Sulawesi Tengah merupakan salah satu daerah yang sering dilanda gempa bumi. Hal ini mengindikasikan bahwa daerah ini  memiliki aktifitas seismik yang cukup tinggi. Secara geologi wilayah ini mendapat tekanan karena interaksi tumbukan 3 lempeng utama dunia yakni lempeng Eurasia, Indo Australia dan Pasifik Akibat tumbukan tersebut menyebabkan terbentuknya beberapa Sesar yang aktif.  Gempa bumi yang menyebabkan liquifakasi dan sunami di Sulawesi Tengah pada 28 September 2018 sumber gempanya berada dijalur lintasan sesar Palu Koro di kedalaman 10 km di bawah dasar permukaan laut pada jarak 80 km barat laut Kota Palu.

Waktu kejadian gempa bumi besar hingga saat ini belum ada ahli yang bisa meprediksi secara tepat. Untuk itu melalui kajian ini kami melakukan pendekatan untuk memprediksi waktu kejadian gempa bumi ini dengan melakukan analisis secara statistik menggunakan metode maksimum likelihood dan  distribusi Poisson  dari data data gempa bumi yang pernah terjadi. Nilai parameter seismotektonik () dari hubungan magnitudo dengan frekuensi gempa bumi, diperoleh nilai  yang terbesar pada region I untuk gempa menengah yakni sebesar 0,8065, hal ini menyatakan bahwa pada daerah region I merupakan daerah rawan terjadi gempa bumi karena kemampuan untuk meredam energi penggeseran sesar  relatif kecil sehingga tingkat kerapuhan material yang tersusun di dalam bumi tersebut yang jika diberi gaya sedikit akan terjadi patahan dan kemudian terjadilah gempa bumi.
Analisis Komparasi Algoritma Clustering Berbasis Partisi Untuk Data Numerik Dan Data Kategorikal
Authors: Lusiyanti Desy , Fajri Iman Al , Andri  , Fajri Mohammad
Published: February 2024

Dalam prakteknya, tidak selalu semua fitur data bertipe numerik ataupun bertipe kategorik. Perbedaan fitur pada suatu data menjadi permasalahan dalam menentukan metode yang akan digunakan. Salah satu cara yang sering digunakan untuk mengatasi permasalahan tersebut yaitu mengubah salah-satu dari nilai fitur dengan menyesuaikan  metode yang akan digunakan. Misalkan dalam analisis cluster, terdapat beberapa algoritma yang sering digunakan diantaranya adalah K-Means dan K-Modes. Kedua metode ini memiliki perbedaan dari fitur yang digunakan. K-Means menggunakan tipe data numerik sedangkan K-Modes menggunakan tipe data kategorik. Dalam penelitian ini dilakukan komprasi antara metode K-Means dan K-Modes untuk mengclusterkan pasien penyakit jantung. Dataset yang digunakan dalam penelitian ini adalah data rekam medis pasien penyakit jantung RSUD Undata palu. Hasil penelitian menunjukkan bahwa dari kedua metode yang dibandingkaan memiliki tingkat akurasi yang baik, yaitu 84.47% (untuk metode K-Means), dan 83.85% (untuk metode K-Modes).
Lifetime duration of breastfeeding and cardiovascular risk in women with type 2 diabetes or a history of gestational diabetes: Findings from two large prospective cohorts
Authors: Birukov Anna , Guasch-Ferré Marta , Ley Sylvia H. , Tobias Deirdre K. , Wang Fenglei , Wittenbecher Clemens , Yang Jiaxi , E Manson JoAnn , E. Chavarro Jorge , Hu Frank B. , Zhang Cuilin
Published: February 2024

Objective: Breastfeeding duration is inversely associated with risks of cardiovascular disease (CVD) and type 2 diabetes in parous women. However, the association among women at high risk including women with type 2 diabetes or gestational diabetes (GDM) is unclear.

Research Design and Methods: We included 15,146 parous women with type 2 diabetes from Nurses’ Health Study I and II (NHS, NHS2) and 4,537 women with a history of GDM from NHS2. Participants reported history of breastfeeding via follow-up questionnaires. Incident CVD by 2017 comprised stroke or coronary heart disease (CHD: myocardial infarction, coronary revascularization). Adjusted hazard ratios [aHR 95% CI] were estimated using Cox models.

Results: We documented 1,159 incident CVD cases among women with type 2 diabetes in both cohorts during 188,874 person-years of follow-up and 132 incident CVD cases among women with a GDM history during 100,218 person-years of follow-up. Longer lifetime duration of breastfeeding was significantly associated with lower CVD risk among women with type 2 diabetes, pooled aHR 0.68 (95% CI 0.54-0.85) for >18 months vs 0 months and 0.94 (0.91-0.98) per 6 months increment in breastfeeding. Similar associations were observed with CHD (pooled aHR 0.93 [0.88-0.97]), however, not with stroke: 0.96 [0.91-1.02] per 6 months increment in breastfeeding). Among women with GDM history, >18 months vs 0 months of breastfeeding was associated with aHR 0.49 (0.28-0.86) for total CVD.

Conclusions: Longer duration of breastfeeding was associated with lower risk of CVD in women with type 2 diabetes or GDM.
Endonasal Endoscopic Treatment of Esthesioneuroblastoma
Authors: Ruggeri Carlos Santiago
Published: February 2024

Introduction: Esthesioneuroblastoma is a malignant neoplasm that originates from the olfactory epithelium. Treatment is established according to its extension and the histological degree of atypia and may include surgery, surgery more radiotherapy or more chemoradiation therapy. Different surgical approaches have been used, including facial incisions and craniotomy, but with the greater experience acquired with endoscopic sinus surgery and teamwork with the neurosurgeon, endonasal techniques have been developed that make it possible to perform oncological resections in selected patients, with less morbidity, brief hospitalization and without compromising local control of the disease. Objectives: To determine the rate of local control in patients treated for esthesioneuroblastomas by the endonasal approach with endoscopes or through an endonasal approach with bifrontal craniotomy. Methods: A review of the electronic medical records of patients who were treated for esthesioneuroblastomas in the ENT Department of the Italiano Hospital of Buenos Aires between March 2005 and May 2022 was carried out. Results: Five patients were treated with an endonasal approach with endoscopes. Two patients with an endonasal approach only (Kadish B and C) and three with an endonasal approach combined with bifrontal craneotomy (Kadish C and one D). In four cases, chemotherapy-radiotherapy or radiotherapy was also used. Local control in the treated group was 80% (4/5) and specific survival was 60% (3/5). Conclusions: The local control that we obtained in patients treated for esthesioneuroblastomas through a single endonasal approach or combined with bifrontal craniotomy and adjuvant treatments was 80% and survival without local, regional or distant disease was 60%.
ORALIDADE – FALA E ESCUTA: O DISCURSO INTERATIVO EM SALA DE AULA
Authors: Salgado de Mello Franco Maria Ignez , Zanon Marilena , De Marchi Morais Vanessa Pelissari
Published: February 2024

Este tema foi apresentado na III Jornada de Educação Linguística, ocorrida em 17- 10-2023, na modalidade de minicurso, com o título Práticas de Análise Linguística – Oralidade – Falae Escuta: o discurso interativo em sala de aula, sob a perspectiva da Educação Linguística, levandoem conta o propósito comunicativo de uma dada situação de enunciação. Nosso aporte teórico foi,primordialmente, Kerbrat-Orechioni (2014) que propõe o estudo das relações que se constroem,pelo viés da troca verbal, entre os interlocutores. Ela analisa conversações em seus vários aspectos,como o exercício da fala que implica a locução, a interlocução e a interação. Na oportunidade,atividades foram apresentadas, considerando-se o uso – reflexão – uso, levando em conta o contextode produção e recepção em que ocorrem.
Allergy and Its Predictive Factors in the PSAU students-Alkharj City, Saudi Arabia
Authors: Alshammary Amal , Abdo Seba , AlMutairi Talal , AlSubaie Sultan , AlKhald Abdulmajeed , AlAnazi Omar , Badawood Abdullah , AlAnazi Meshari , Alghamdi Suad , Alsofyani Abeer , Alsiary Rawiah , Almatrrouk Shaihana , Alonazi Fahad N. , Alanazi Mona , Altoub Mashael , Aldahish Afaf , Alshaikh Sana , Zaki Awal , Aldosari Sahar , Aljohani Manal M. , Alanazi Essa E. , Alahmari Ali A , Alenezy Awwad K. , Alonazi Noufa , Alenazi Adel A. , Bukhari Talat , Alenzi Faris Q.B.
Published: February 2024

Background: Allergy is a widespread universal public health challenge that can result in serious complications. The incidences of allergy are continuously on the rise resulting in morbidity and mortality in all age groups. Thus, a clear knowledge of the prevalence of the spectrum of allergic diseases and the accurate identification of environmental triggers is crucial. Aim: The current study was conducted to determine the prevalence, types, risk factors of allergic disorders among students of Prince Sattam bin Abdulaziz University (PSAU) Saudi Arabia. This study may provide useful information for development of a strategic public health plan for optimal management of allergies. Methods: In this cross-sectional study, students were surveyed by an electronic questionnaires and results were analysed and compared. Five hundred adult students (330 males, 170 females) belonging to various colleges at PSAU, participated in this study. Results: Analysis of data from the self-administered questionnaire show that 59% of participants suffered from some type of allergy. The most prevalent type of allergy among participants was of respiratory tract (41%), followed by skin allergy (36%), Gastrointestinal tract (GIT)allergy (14%) and least number of cases were of eye allergy (9%). Fifty five percent cases of allergies were due to environmental triggers, 35% were food allergy, and 10% were animal allergy cases. For food allergy, the most common (59%) allergens were fruits, nuts and vegetables, 26% cases were of fish allergy, 10% of cases were of allergy to milk and the least number of cases (5%) were of allergy to wheat. Conclusion: The prevalence of allergies is high in PSAU and students. Adequate measures should be taken to reduce and manage the rising prevalence of allergies before the problem escalates any further.
How Saudi Arabia Experience Corona: A Monthly Analysis Data
Authors: Alshammary Amal F. , Albarqi Ahmad , Alghamdi Suad , Alsiary Rawiah , Alsofyani Abeer , Almatrrouk Shaihana , Alonazi Fahad N. , Alanazi Mona , Aldahish Afaf , Alanazi Aiysha QB. , Alanazi Meaad , Alanazi Abdulaziz , Alanazi Wafa , Alanazi Mona QB , Alanazi Badi , Alanazi Majed , Alanazi Abdulmajeed Q. , Alanazi Abdulrahman Q. , Alanzi Fahad G. , Alanazi Rakan , Aljohani Manal M. , Alanazi Essa E. , Alahmari Ali A , Alenezy Awwad K. , AlAnazi Aisha , Alanazi Sami N. , Altoub Mashael , Zaki Awal , Alsaihati Hajir , Alshaikh Sana , Aldosari Sahar , Alenazi Adel A. , Bukhari Talat , Talohi Abdulrahman , Abdo Seba , Alenazi Bashir R. , Alenzi Faris Q.B.
Published: February 2024

This study provides evidence of the situation in Saudi Arabia during the COVID-19 pandemic. The Saudi government has taken significant action in response to the outbreak by putting in place measures to restrict the ability of the virus to spread. Cases, recoveries, and deaths were meticulously documented using MOH and/or WHO official sources. Our findings indicate that the number of confirmed cases and fatalities between May 2020 to November 2021 has decreased significantly, and the rate of recovery has been consistently strong. Furthermore, our study examined the rates of new cases and deaths in Saudi Arabia during the pandemic using Spearman's rank correlation coefficient. Overall, our findings indicate a moderate link between new cases and death rates due to the country’s rigorous control during the pandemic and availability of an advanced health care system. In addition, our study documented the country’s nationwide vaccination campaign conducted with locations set up in many major cities. As of May 2022, a total of 64 million doses of the vaccine had been delivered to citizens and anyone with permanent residency in the country to control the spread of the disease. According to the data that has been given in this study, advanced health care system, widespread immunization efforts, and public awareness campaigns in the Kingdom of Saudi Arabia were effective in limiting the virus's capacity to spread further during COVID-19 pandemic.
Pneumonia is the Leading Cause of Death from Respiratory Diseases at High Altitude In La Paz, Bolivia
Authors: Marcelino Gonzales , Navia Casto , Tamayo Carlos , Villarroel Martin , Bairam Aida , Sanchez Lida , Arias-Reyes Christian , Soliz Jorge
Published: February 2024

Chronic obstructive pulmonary disease (COPD) and asthma are major contributors to mortality resulting from respiratory diseases among sea-level populations. In high altitude environments, located between 2500 and 3600 meters, where oxygen availability decreases (hypoxia), pulmonary edema has been identified as the main cause of mortality among transient visitors to such high regions. However, despite the existence of physiological adaptations among permanent residents of high altitudes (characterized by increased ventilation, increased red blood cell counts, vasodilation, and an increased muscle contraction pump), extensive research on fatal respiratory diseases that prevalence in this demographic remains low. In this research effort, we analyzed 1,214 mortality records from 2017 in La Paz, Bolivia (located at 3,600 meters). Our results indicate that pneumonia is the leading cause of death in these high-altitude Bolivian cities. This is in stark contrast to pneumonia's position as the fourth leading cause of death at sea level, accentuating the distinctive health challenges faced by populations residing at high altitudes.