bluuebunny/crossref_metadata_2025 huggingface dataset:
Socioeconomic status of small ruminant rearers in selected provinces in Sierra Leone
Authors: Abdul Rahman Sesay  , Abdulai Mahmood Conteh  , Sanpha Kallon
Published: January 2025

This study focused on assessing the socio-economic characteristics of small ruminant farmers and identifying key challenges impairing the growth of the small ruminant local industry in selected provinces in Sierra Leone. The research adopted a cross-sectional design to generated primary information from 438 respondents in six selected districts using a well-structured pre-tested questionnaire. The data was analyzed using the statistical tool SPSS (version 23.0), the relationship between assessed variables and location were tested using Pearson’s Chi-square test. The findings of the study revealed that majority of the respondents were men (60.5%), married (83.8%), had no formal education (79.2%), and above 50 years old (62.8%). Small ruminants were predominantly owned by men, but women and children (47.5%) were mainly responsible for routine management practices. The primary reasons for keeping small ruminants include cultural practices (78.5%), household income (71.5%), food (66.3%), and religious practices (64.6%). Farmers preferred rearing small ruminants over other livestock due to high market demand (31.1%), disease tolerance (20.5%), adaptation (16.0%), and prolificacy (13.2%). Income generated from the sales of small ruminants was mostly used to purchase food (68.0%), for educational purposes (64.2%), and crop farming (51.6%). The major challenges for farmers were diseases/parasites (100.0%), inadequate animal health services (80.8%), animal theft (63.7%), and mortality (62.1%). According to 81.7%, 77.2%, 73.1%, and 71.2% of the farmers, peste des petits ruminants, skin infection, foot rot, and reproductive diseases were regarded as the main diseases of small ruminants. To enhance productivity of small ruminants in the study areas, continuous education, improved biosecurity, and robust measures by the government and community are required to overcome these challenges.
Enhancing knowledge cancer survivor about complication after cancer therapy on oral cavity in Indonesian cancer foundation, east java coordinator branch
Authors: Nurina Febriyanti Ayuningtyas  , Reiska Kumala Bakti  , Fatma Yasmin Mahdani  , I Gusti Agung Sri Pradnyani  , Annissaqiella Maharani  , Gremita Kusuma Dewi
Published: January 2025

Introduction: Many different modalities are available for treating cancers of the oral cavity. Surgery, radiotherapy and chemotherapy, or a combination, are the most common treatments provided. Head and neck cancer (HNC) represents the 6th most widespread cancer in the world. Oral conasequences of cancer chemotherapy involve acute complication, including oral mucositis, inflammation and bleeding of gums, reduction in salivary flow, taste disturbances, bacterial and candida infections and chronic complication such as atrophy of the mucosa and dryness of the mouth.
Material and Methods: This research is in collaboration with the Indonesian Cancer Foundation, East Java Coordinating Branch. The methods used in this research were a questionnaire administered before and after the intervention to assess the differences in respondent knowledge. The intervention carried out in this study was counseling, which was delivered after participants had completed the pre-test questionnaire. The questionnaire was developed by researchers referring to the impact of radiotherapy and chemotherapy on the oral cavity after cancer therapy, especially the head and neck cancer literature review specifically for this research, and then it was divided into pre- and post-test group designs. Data analysis used descriptive analysis and independent t-test.
Results: The results (post-test score - pretest score) yielded significant results, with p = 0.001 (α <0.05). The results showed a difference in the pretest frequency compared to the post-test, indicating a significant increase in knowledge among participants.
Conclusion: Health education about the impacts of radiotherapy and chemotherapy for head and neck cancer can enhance patients' understanding of the side effects of these treatments and when to seek help to the medical profession.
Enhancing software security with blockchain integration for decentralized and tamper-proof application architectures
Authors: Adeola Mercy Osilaja  , Azeezat Raheem  , Enuma Edmund
Published: January 2025

The increasing prevalence of cyber threats and data breaches has highlighted the critical need for secure and resilient software architectures. Blockchain technology, with its decentralized and tamper-proof properties, offers a transformative approach to enhancing software security. This paper explores the integration of blockchain into software systems to create decentralized, transparent, and secure application architectures. By leveraging blockchain’s capabilities, such as immutable data storage, distributed consensus, and cryptographic integrity, developers can address vulnerabilities in centralized systems and ensure robust protection against unauthorized access and tampering. The study begins by analysing current challenges in software security, including risks posed by centralized data repositories, inadequate access control, and vulnerability to cyberattacks. It then examines blockchain’s core principles and their applicability to software development, such as its ability to authenticate users, verify transactions, and secure sensitive data. Use cases, including secure supply chain management, decentralized identity systems, and blockchain-enabled IoT networks, demonstrate the practical benefits of integrating blockchain into software infrastructures. While blockchain offers significant advantages, the paper also addresses key challenges, such as scalability, energy consumption, and integration complexity. Strategies for overcoming these barriers, including the use of layer-2 solutions and hybrid blockchain models, are discussed. The paper concludes by presenting a vision for the future of secure software architectures that combine blockchain with emerging technologies like artificial intelligence and zero-trust security frameworks. This research provides actionable insights for software architects and developers seeking to enhance application security through blockchain integration, paving the way for more resilient and trustworthy systems in an increasingly interconnected digital landscape.
Bridging gaps in preventive healthcare: Telehealth and digital innovations for rural communities
Authors: Simeon Ayo-Oluwa Ajayi  , Olayemi Oluwatosin Akanji  , Oluwaleke Akinwale  , Aisha Katsina Isa  , Philip Bitrus Kaya  , Onyeka Mary Ukpoju-Ebonyi  , Jean-Marie Akor Ebonyi
Published: January 2025

Background: Healthcare access has become one of the most imperative issues globally, with a significant discrepancy between rural and urban areas. This difference could be subject to ethnicity and cultural background. Given this, the position of digital innovations in appropriate healthcare delivery has become essential in bridging the gap in healthcare access. This paper seeks to determine diverse digital health inventions that address health disparities. It also examines various approaches to improve collaboration between healthcare accessibility and connectivity geared towards preventive healthcare education and awareness programs which ensure equity.
Method: A systematic review of literature on major databases like PubMed, Google Scholar and relevant sources from 2021 to 2024, and also peer-reviewed journal articles, and case studies was conducted. Key search terms included Telehealth and Digital Health; Preventive Healthcare; Rural Communities; Health Equity and Access to Health.
Key Findings: Among 11 included articles, 7 studies analyzed strategies and mechanisms developed to enhance rural healthcare. Also, 3 discussed telehealth and digital innovation awareness programs, while the remaining 1 analyzed possible policies and telehealth applications. Thus, these studies reported positive results on the adoption of telehealth and digital innovations in bridging the underlying gap between the inaccessibility of healthcare provision and the underprivileged rural community dwellers has proved substantial potential.
Conclusion: Telehealth has been confirmed to be a transformative mechanism for improving healthcare access in rural U.S. communities. Regardless of the significant infrastructural and technological hindrances, AI usage and digital innovations enhance telemedicine by improving the exactness and personalizing of awareness goals.
Growth factors and puberty in thalassemia adolescents
Authors: Selia Nirmalantika Marbun  , Muhammad Faizi  , Merlyna Savitri  , Mia Ratwita Andarsini
Published: January 2025

Thalassemia is a genetic disorder that affects hemoglobin synthesis, causing chronic anemia that contributes to delayed growth and puberty in adolescents. This literature review discusses the factors underlying these delays, such as chronic anemia, iron overload due to repeated blood transfusions, and hormonal dysfunction. Oxygen deficiency due to anemia disrupts metabolic processes and endocrine function, especially in the pituitary axis and gonads, leading to delayed puberty. Effective treatment strategies include routine blood transfusions to maintain hemoglobin levels, iron chelation therapy to prevent endocrine damage, and hormonal interventions to treat growth and puberty disorders. Early detection and regular monitoring are essential to optimize outcomes for adolescent patients with thalassemia.
The effectiveness of Oxyfresh® mouthwash to reduce inflammatory gingival status in patients at University of Jember Dental Hospital
Authors: Melok Aris Wahyukundari  , Depi Praharani  , Peni Pujiastuti  , Yuliana Mahdyah  , Da’at Arina  , Neira Najatus Sakinah  , Desi Sandra Sari
Published: January 2025

Background: Gingivitis is an inflammatory disease caused by plaque bacteria. Gingivitis prevention can be done by chemical plaque control using mouthwash. Oxyfresh® is a mouthwash that contains sodium chlorite, which can inhibit the growth of plaque bacteria.
Aim: To determine the effectiveness of Oxyfresh® mouthwash to reduce the gingivitis status of patients who come to the Dental Hospital of the University of Jember.
Material and Methods: This research is descriptive research. The participants of this study were 30 patients who came to the Dental Hospital of University of Jember over the period of September-October 2022. The criteria of patients who came to the Dental Hospital aged between 20-40 years, did not have any systemic disease, did not smoke, and were willing to complete the informed consent form. Gingivitis status was assessed by the Gingival Index (GI). The teeth examined according to the Ramfjord were 16, 21, 24, 36, 43, 44. The observed surfaces were facial, mesial, distal, and lingual. Gingival status was checked before scaling, and then the patient was asked to rinse 5 ml Oxyfresh® twice daily for 2 minutes. On the 7th post-scaling day, the gingival status was checked. The data were analyzed using SPSS software.
Results: Gingivitis scores in 30 patients showed 10% mild, 76% moderate, and 14% severe gingivitis. The results showed that gargling with Oxyfresh® as much as 5 ml twice daily can reduce the gingival score by 70% in one week. Data analysis showed a significant difference in gingival status before and after scaling after being given Oxyfresh® mouthwash (p<0.05).
Conclusion: Oxyfresh® mouthwash effectively reduces the severity of gingivitis in patients at the Dental Hospital of University of Jember.
Analisis Sentimen Pembangunan IKN pada Media Sosial X Menggunakan Algoritma SVM, Logistic Regression dan Naïve Bayes
Authors: Hadi Nur , Sugiarto Dedy
Published: January 2025

social media X or formerly more familiar with Twitter is one of the familiar social media and has many users in the world whis is a platform for accesing some information and commenting both suggestions and criticsm related to the development of the Capital City of the Archipelago (IKN) which is the center of smart government in East Kalimantan. There are indormation, suggestions and criticisms addressed to the @ikn_id account directly addressed to the Indonesia government as well as public opinions related to IKN by using the IKN hashtag. Public sentiment on the issue is in the form of text on IKN Development. This research aims to analyze public opinion on the government's decision to build the Capital City of Nusatara (IKN) conveyed through X social media using appropriate data analysis methods by comparing the performance of support vector machine, logistic regression, and naïve bayes algorithms and identifying the most effective algorithm in sentiment analysis. The method used in this research to analyze sentiment are support vector machine, logistic regression and naïve bayes. The use of these three algorithms is also to compare the accuracy that is better than other algorithms. The results obtained using the Support Vector Machine algorithm is 80% while using the Logistic Regression and naïve bayes algorithms are 79%.
Peningkatan Keberagaman Data untuk Klasifikasi Penyakit Diabetes Berbasis Stacking Ensemble Learning
Authors: Majid Nur Kholis , Supriyanto Catur , Marjuni Aris
Published: January 2025

Diabetes cases are becoming more common in the late years. Diabetes attacks not only parents, but also children. The development of diabetes is not far from the lifestyle and diet that we live on a daily basis. Therefore, early detection of diabetes is essential because the earlier the disease is detected, the easier it is to treat. In the process of detecting disease based on factors, the cause can be predicted with data mining. The aim of this research is to increase data diversity so that it can be processed to the maximum in data mining. In the process of data upgrading, we used the imbalance learning method SMOTE-ENN combined with the method Stacking Ensemble Learning. In the search for a powerful stacking model, seven classification algorithms were involved in the experiments carried out on this study, namely: Random Forest, Decision Tree, Gradient Boosting, Naïve Bayes, Extreme Gradiant Boost, Logistic Regression, and k-Nearest Neighbor. Four algorithms were used to be classifiers level 0 (base model), namely kNN, Gradient Boosting, decision tree, and random forest, while Random Forest was used again to be classifier level 1. (meta model). With these combinations, the accuracy obtained is 97.3%. These are the highest results when compared to individual algorithms.
Implementasi Website K-Etik untuk Digitalisasi Manajemen Etik Penelitian di Universitas YARSI
Authors: Putra Rio Griya , Herlyansyah Hafidz Putra , Windriyani Paramaresthi , RS Qomariah
Published: January 2025

The K-Etik Website was developed by Universitas YARSI as a solution to inefficiencies in research ethics management, which had previously been conducted manually, often leading to delays, inefficiencies, and a lack of transparency. This study aims to create a digital application capable of accelerating the review process and enhancing transparency in the management of ethics documents. The Scrum methodology was applied to facilitate collaboration between developers and users, integrating modern technologies such as React.js for the user interface, Node.js for the server, and MongoDB for database management. The application evaluation was conducted through black-box testing, indicating that the application meets the specified requirements, including user authentication, document submission workflows, and real-time progress tracking. System Usability Scale (SUS) testing yielded an average score of 81.1, classified as “Excellent,” signifying the application's high usability and readiness to support ethics management in research. Through digitalization via the K-Etik application, research ethics management at Universitas YARSI has become more efficient and transparent, strengthening accountability and responsiveness in the ethics document review process. The study concludes that this application provides a comprehensive digital platform to support a structured and accountable research environment at Universitas YARSI.
Optimasi Bobot Kelas LSTM untuk Deteksi URL Phishing pada Dataset Tidak Berimbang
Authors: Handoyo Tri Ferli , Putra Muhammad Pajar Kharisma
Published: January 2025

Phishing URL detection is one of the main challenges in cybersecurity, considering the ever-increasing threats affecting internet users globally. This research aims to develop a Long Short-Term Memory (LSTM) based deep learning model to detect phishing URLs with high accuracy. The dataset used consists of 651,191 URLs, which are divided into four categories: benign, defacement, phishing, and malware. The dataset is processed through preprocessing stages, including URL cleaning and feature extraction. The LSTM model is applied with optimized hyperparameter configurations to learn patterns from the dataset. The results showed that the model was able to achieve significant accuracy during the training and validation process. Evaluation on external datasets shows that the model performs well in the benign and defacement categories, with relatively high precision and recall. However, challenges were identified in the malware and phishing categories, where recall was low due to dataset imbalance and lack of feature representation. Further analysis showed a model bias towards the majority class, as well as difficulty in detecting URLs in the minority class. This research shows the potential of using LSTM-based deep learning in phishing URL detection, but also emphasizes the importance of further optimization, such as adjusting class weights, oversampling, or using additional features. It is hoped that the resulting model can be an initial solution in improving cyber security, especially in detecting phishing threats in real-time.
Model Perilaku Pasien Pada Aplikasi Berbasis Kesehatan Menggunakan Metode Design Thinking
Authors: Adrian Qodhli Jafar , Styawati Styawati , Rifai Jefri Andri
Published: January 2025

The COVID-19 pandemic has had a significant impact on health, economy, and society in Indonesia. In dealing with the pandemic, the term New Normal emerged, namely a change in behavior to continue normal activities by implementing health protocols. One of the innovations that has developed in this digital era is a health-based application designed to increase the accessibility of health services, such as online consultations, health monitoring, medication reminders, and health education. However, the success of this application depends not only on technology, but also on a deep understanding of patient behavior as users. Understanding patient needs, preferences, and challenges is important to create an optimal user experience. Without this, health applications are at risk of not being widely adopted. This study uses the Design Thinking method to understand patient behavior and design relevant solutions. With stages such as empathy, problem definition, ideation, prototyping, and testing, this study aims to design a patient behavior model in health-based applications. This approach is expected to provide a comprehensive picture of the factors that influence patient behavior, as well as help developers create applications that are more intuitive, effective, and in accordance with user needs in the era of the pandemic and new habits.
Klasifikasi Pengucapan Huruf Hijaiyah Berbasis Android Menggunakan CNN dengan Fitur Mel-Spectrogram
Authors: Muqsith Fawwaz Ijlal , Supriyati Endang , Listyorini Tri
Published: January 2025

Mastery of Hijaiyah letters is a fundamental basis in learning the Qur'an, but data from the IIQ Community Service Institute 2021/2022 shows that 72.25% of the 3,111 Muslims tested have not been able to read the Qur'an properly. This research aims to develop an Android-based Hijaiyah letter pronunciation classification system using Convolutional Neural Network (CNN) with mel-spectrogram features. The research methodology includes collecting 8,904 voice samples from 53 participants at Pondok Tahfidz Yanbu'ul Qur'an Menawan, preprocessing data using MFCC techniques, developing CNN models, and implementing the system in the form of mobile applications with MVVM architecture. The test results showed promising performance with some classes achieving 100% accuracy and an average overall accuracy of 83.80%, although there were challenges in some classes such as “alif_dommah” and “ghaiin_dommah” which had an accuracy below 40%. The developed system successfully provides an interactive learning platform through the integration of mobile applications with the Flask API, but still requires further development, especially in expanding the dataset to overcome overfitting problems and improve the generalization ability of the model.
Analysis of Electronic Wallet User Sentiment on Twitter (x) Social Media Using the Naïve Bayes Classifier Algorithm
Authors: Basir Azhar
Published: January 2025

Electronic wallets are one of the most popular payment methods in Indonesia with the number of users increasing significantly in recent years, including DANA, GoPay, and LinkAja. Along with the increasing number of users, the need to analyze user opinions and comments on social media, especially on Twitter (X) is also increasing. This study uses an experimental method with data collection from Twitter (X) using data crawling techniques. The dataset used is 1,500 data with 1 attribute. This study aims to analyze user sentiment towards electronic wallets using the Naive Bayes Classifier algorithm with the Python programming language. The results of the study showed that DANA had a negative sentiment of 16.6%, a neutral sentiment of 9.0%, and a positive sentiment of 74.4%. Followed by GoPay with a negative sentiment of 9.4%, a neutral sentiment of 11.4%, and a positive sentiment of 79.2%. Meanwhile, LinkAja had the lowest negative sentiment of 8%, with a neutral sentiment of 12.2% and a positive sentiment of 79.8%. The implementation of the Naive Bayes Classifier algorithm achieved an accuracy rate of 72% for DANA, 88% for GoPay, and 88%, for LinkAja.
Penilaian Proses Produksi dan Ergonomi dengan Penerapan Mesin Pencuci Peragi Kedelai
Authors: Rafela Nindy Elsa , Iswanto Andrian , Saputra Arief Reza Indra , Pambudi Nugroho Agung
Published: January 2025

Proses pencucian dan peragian kedelai merupakan salah satu operasi yang merepresentasikan perlu adanya perbaikan karena beresiko menimbulkan masalah ergonomi yaitu cedera akibat postur kerja yang tidak optimal. Hal ini dikarenakan aktivitas operasi produksi sebagian besar dilakukan tanpa menggunakan alat bantu dan melakukan gerakan secara repetitif sehingga menambah parameter waktu pemrosesan dan masuk dalam pemborosan. Untuk mengevaluasi kondisi proses kerja ini, diperlukan pendekatan yang menggabungkan penilaian proses produksi dan ergonomi terhadap beban kerja fisik. Kuesioner Nordic Body Map (NBM) digunakan untuk mengetahui prevalensi cedera MSDs yang dialami dan memberikan informasi kondisi beban kerja yang tidak menguntungkan. Temuan menunjukan bahwa daerah yang paling sering terkena dampak adalah kaki, punggung, dan tangan. Selanjutnya, pengukuran sistem REBA assessment digunakan untuk menganalisis dan mengkategorikan urgensi kedalam empat tingkat perbaikan. Mesin pencuci peragi kedelai dikembangkan dan diteliti untuk meningkatkan produktivitas pekerja pada proses pencucian dan peragian kedelai. Peninjauan eksperimental dilaku¬kan dengan mengkombinasikan analisis efektifitas, kenyamanan dan efisiensi mesin pencuci peragi kedelai. Eksperimental dilakukan di UD.Tempe 85 dengan bahan uji berasal dari mitra. Pengambilan data penelitian efektifitas - efisiensi dilakukan sebanyak 4-5 replikasi dengan mengkomparasikan metode proses manual dan mesin pencuci peragi kedelai. Hasil penelitian menunjukan bahwa  mesin pencuci peragi kedelai jauh lebih cepat daripada metode manual dalam mencuci maupun meragi kedelai dengan kapasitas 2x lipat dibanding hanya 30 kg/jam proses manual. Analisis kenyamanan REBA menunjukan level 1 sangat rendah terkena cedera dengan skor REBA 3 sedangkan metode pencucian peragian manual termasuk dalam level 4 memerlukan penerapan perubahan dengan skor REBA 11. Kelayakan penerapan mesin pencuci peragi kedelai ini direkomendasikan karena menekankan pentingnya risiko rendah dan produktivitas dalam penggunaannya.
Optimalisasi Tata Letak Fasilitas Produksi dengan Pendekatan Ergonomi dan Efisiensi
Authors: Dewi Anissa Puspa , Agus Edy Pramono
Published: January 2025

Penelitian ini bertujuan untuk mengevaluasi tata letak fasilitas workshop veneer kayu guna meningkatkan efisiensi dan mengurangi risiko kesehatan operator. Laminated Veneer Lumber (LVL) dipilih sebagai fokus karena keunggulan kekuatan dan ketahanannya. Namun, proses produksi LVL menghasilkan limbah berbahaya, serta jarak antar fasilitas yang terlalu jauh mengakibatkan pemborosan energi operator dan mempengaruhi kesehatan pekerja. Salah satu urgensi perbaikan tata letak adalah kemampuannya mereduksi jarak perpindahan untuk large component product serta desain layout yang memisahkan proses pengecatan dari ruang perakitan, guna menghindari paparan zat kimia berbahaya pada operator lain. Evaluasi ergonomi dilakukan menggunakan kuesioner Nordic Body Map (NBM) untuk menilai risiko musculoskeletal disorders (MSD's) pada operator. Observasi dan wawancara lapangan mengidentifikasi masalah tata letak, yang dianalisis menggunakan Activity Relationship Chart (ARC) dan Standard Weighted Sum Method (SWS). Hasil pengukuran menunjukkan jarak perpindahan awal antar fasilitas sebesar 94,5 meter. Dengan implementasi layout alternatif, jarak tersebut berkurang menjadi 51,8 meter untuk Alternatif 1 dan 52,8 meter untuk Alternatif 2, yang menghasilkan pengurangan jarak tempuh hingga 45,2%. Layout Alternatif 2, dengan skor tertinggi 242,7 dalam SWS, terbukti lebih unggul dalam mereduksi jarak perpindahan komponen besar dan mengurangi paparan zat kimia melalui pemisahan ruang pengecatan. Perbaikan tata letak ini diharapkan dapat meningkatkan efisiensi produksi, keselamatan, dan kenyamanan kerja operator.
PENERAPAN BOUNDARY VALUE ANALYSIS DALAM PENGUJIAN FITUR BUATPRODUK PADA WEBSITE www.botanicabeautysalon.com
Authors: Salsabila Alya Putri , Rasendriya Achmad Syahmi , Sa’adah Muthia Nurul , Fadlurohman Rizky , Aji Wahyu Mustika , Wicaksono Aditya , Nasir Muhammad
Published: January 2025

Websites are an effective medium of promotion. With a website, businesses have the opportunity to reach consumers on a much wider scale compared to traditional promotional methods. In addition, the cost of developing and managing a website also tends to be more efficient than print advertising or other physical promotional media. To maximize this potential, site developers must ensure that user experience is a top priority. A website of poor quality can damage their perception of the professionalism and credibility of the business. Therefore, thorough testing is required to ensure user comfort in using the website. Testing will be carried out on the Botanica Beauty site which has various functional features that interact directly with users. In this research, testing was carried out on the “Create Product” feature with a focus on testing the upper limit value and lower limit value of the input process. The results of the tests conducted showed a success rate of 65%. Based on this percentage, it can be concluded that the Botanica Beauty Salon website is quite satisfactory. However, improvements are still needed to achieve a higher level of reliability.
PENGEMBANGAN SISTEM SEWA KAMAR KOS PADA ”KOS YANI”
Authors: Yulianto Ananda Kresna , Prasetya Noven Indra
Published: January 2025

This research developed a web-based room rental system specifically designed for Kos Yani to improve efficiency and accuracy in kos management. The system provides essential features aimed at effectively addressing management needs, including real-time room availability monitoring, tenant payment tracking, and comprehensive data management. Key features such as room booking, electronic payment processing, and tenant data management have been successfully implemented, offering ease of use for both the kos owners and tenants. With real-time room availability tracking, owners can easily monitor room stock without needing manual checks. The electronic payment feature streamlines transactions, while tenant data management maintains organized and essential information. The research findings indicate that applying information technology to small-to-medium scale kos management effectively addresses longstanding challenges, particularly those related to inefficient, error-prone manual processes. This system not only supports Kos Yani in daily operations but also has the potential to serve as a model for similar applications in the broader room rental sector. With the increasing demand for digitalization in Indonesia, this system plays a critical role in accelerating digital transformation within the kos management sector, contributing significantly to the development of more modern and structured property management. As a result, this solution offers promising potential for adapting to various types of rental properties, paving the way for a more streamlined and responsive rental management experience across the industry.
Klasifikasi Siswa Menggunakan Bayesian Classification Di Uptd Smp Negeri 2 Baron
Authors: Puspitowati Yenita Endah , Nurwilawati Mumun , Swanjaya Daniel
Published: January 2025

To provide learning for students is not enough only in academics , but also needed in non- academic fields such as counseling . With counseling , psychological known how the students with what they are experiencing , so it takes the handling of student counseling . Giving questionnaire or questionnaires to students is a way to find out the problems in a natural student . This research is the development of the students' classification problems using Bayesian classification . Data obtained using a questionnaire that has been converted into a computerized , then weighted and processed using a Bayesian classification to obtain results in student services . Classification of students using Bayesian classification can generate services to students in accordance with the natural problems in students . Through the classification of students with Bayesian classification devote facilitate students in their personal problems without difficulty or feel embarrassed , but it also helps administrators in data processing to generate the appropriate student services on student issues . The use of Bayesian classification algorithm is suitable to assist performance  and efficiency while counseling guidance  teachers in performing services to students.
Aplikasi Penerjemah Kata Bahasa Inggris Ke Bahasa Indonesia Berbasis Kamera
Authors: Adisusilo Anang kukuh
Published: January 2025

The information is presented in an English At a place, could become a barrier to the review Human Understanding For A If the information does not understand the language. To translate a word of English to Bahasa Indonesia in the previous Nowadays of course ALL of the orangutans can do it anytime and anywhere by using a dictionary printed and digital dictionaries. If using a print dictionary Its thickness and weight, the user Must for One by One word from a few Page Up said Yang was found desirable. When using a digital input dictionary word Still Must BE user typed letter-by-letter. Research by THEREFORE hearts husband, author aims Building Applications translator of English words to Bahasa Indonesia-based camera that can translate English words picture from capturing Indonesian TO THE way. Husband developed the application on Android based smartphone device method uses OCR (Optical Character Recognition) detection engine AS Character And utilizing online translators AS machine translator. Testing of the findings for review TIN success rate translates said to reach 60% of the total of 30 samples tested Yang, so it can be deduced CAN Application That translates said destination language WITH KE hearts percentage of success of 60%. Inaccuracy of the findings due to the translation of image processing results That sometimes still give results the Less Net notably ON threshold and morphological processes (erosion and dilation).
Steganografi LSB Dengan Modifikasi Kriptografi: Caesar, Vigenere, Hill Cipher dan Playfair Pada Image
Authors: Frobenius Arvin Claudy , Hidayat Eko Rachmat
Published: January 2025

Pada era modern ini, teknologi informasi berkembang dan menjadi salah satu media yang bertujuan membentuk sistem dengan cara pengelolahan, pengumpulan, penyimpanan, sampai pengiriman. Keamanan informasi harus diperhatikan, dikarenakan terdapat kejahatan dimana oleh banyak pihak yang ingin mengakses informasi dan menyalagunakan informasi yang bukan pemiliknya. Oleh karena itu, diperlukan teknologi informasi dan pengamanan informasi untuk memiliki informasi bersifat pribadi. Penggabungan teknik kriptografi dan steganografi dapat digunakan untuk pengamanan informasi. Teknik kriptografi menggabungkan empat metode yaitu Caesar cipher, vigenere, hill cipher, dan playfair. Pada teknik steganografi LSB (least Significant Bit) untuk menyisipkan informasi berupa teks didalam gambar. Metode pengujian dilakukan dengan menggunakan beberapa cara yaitu kapasitas penyisipan, histogram, pemotongan gambar dan pengubahan ekstensi. Hasilnya menunjukan bahwa penyisipan data yang terdapat pada gambar mengalami penambahan ukuran file yaitu menggunakan 17 karekter menghasilkan nilai 192 KB dan 13 karakter menadapatkan nilai 170 KB.  Selain itu, hasil pada pengujian histogram juga mengalami perbedaan yaitu pada nilai mean pada file gambar enkripsi mengalami peningkatan 220.87. Pada pengukian selanjutnya adalah standard deviation yang mengalami penurunan pada file gambar enkripsi yaitu dengan nilai 72.35 dari nilai 72.45.
Cognición y ambientes de aprendizaje para personas con trastorno del espectro autista.
Authors: Posada Silva Wadis Yovany , Salazar Echavarría Carolina , Giraldo Martínez Zoila Liliana
Published: January 2025

Objetivo: comprender las experiencias vividas acerca de la cognición y los ambientes de aprendizaje para personas con trastorno del espectro autista desde una perspectiva social. Metodología: paradigma interpretativo con enfoque fenomenológico. La recolección de datos se realizó mediante entrevistas semiestructuradas y diarios de campo. Participantes: tres profesores, tres expertos, dos madres de familia y una persona diagnosticada con TEA. Resultados: las experiencias giran en torno a las dificultades en comunicación, interacción social, lenguaje, patrones de comportamientos, intereses, conductas, entre otras. Conclusiones: desde los distintos ámbitos y roles se destacan las adaptaciones en cuanto al procesamiento sensorial (PS) o integración sensorial (IS) y mediante un trabajo que involucre a profesionales y familias. Finalmente, se interpreta la importancia de implementar diversas estrategias que favorezcan el desarrollo de habilidades sociales, comunicativas y con el objetivo de mejorar las experiencias educativas de esta población.
relación entre cultura y cognición:
Authors: Chaves Castaño Juana , Hederich-Martínez Christian
Published: January 2025

Objetivo: el objetivo de este artículo de reflexión es mostrar un panorama general de las teorías y enfoques que han abordado la relación entre cognición y cultura, desde los modelos clásicos hasta los más recientes, con el fin de discutir la relevancia de los marcos ecoculturales contemporáneos y su aplicación en estudios sobre contextos interculturales. Metodología: se parte de un recorrido histórico de las teorías antropológicas cognitivistas, y su articulación con la psicología cultural y diferencial a partir de la noción de estilo cognitivo en la dimensión Dependencia-Independencia de Campo (DIC). Resultados: se discuten las implicaciones científicas de analizar las diferencias culturales e individuales de forma aislada, y se propone retomar los modelos ecoculturales de la psicología transcultural para abordar la complejidad de los fenómenos cognitivos. Conclusiones: en conclusión, se evidencia el enorme potencial del modelo ecocultural en la descripción de las influencias culturales en la cognición, al utilizar el estilo como indicador del funcionamiento cognitivo del individuo.
Metodología para el diagnóstico sectorial aplicada a las empresas metalmecánicas de Risaralda
Authors: López-López Diana Cristina , Toro Ocampo Eliana Mirledy , Gaviria Ríos Mario Alberto , Preciado Rodríguez Juan Martín
Published: January 2025

Objetivo: plantear y aplicar una metodología de análisis sectorial para generar estrategias regionales/locales de crecimiento y desarrollo en distintos sectores económicos. Metodología: se realiza una revisión de metodologías sobre diagnósticos sectoriales e identificación de algunas opacidades en obtención y validación de hallazgos en informes. A partir ello se propone una metodología de siete etapas que articula actividades desde la construcción de instrumentos de acopio de datos, su administración y análisis, hasta tratamiento de hallazgos que derivan del análisis sectorial y su diagnóstico. Resultados: se validó la metodología propuesta a través de estudio de caso en PYMES metalmecánicas de Risaralda, Colombia, con la cual se analizaron las condiciones del contexto económico y de mercado en el que se desenvuelven para, así, caracterizar conglomerados empresariales. Conclusiones: Se identificaron elementos que constituyen ventajas competitivas empresariales y se establecieronparticularidades que debilitan sus estrategias de competencia y productividad. Gracias a ello, se hace un diagnóstico sectorial que considera particularidades específicas para la clusterización, que permite el reconocimiento de rasgos de liderazgo que elevan la competitividad empresarial y puede ser replicado dentro o fuera de un mismo sector económico. Finalmente, se evidencia la necesidad de espacios regionales como observatorios, laboratorios y mesas de discusión para estudio sectorial y elaboración de propuestas para entes gubernamentales que establezcan y fortalezcan alianzas Universidad-Empresa-Estado-Sociedad.
Una exploración cualitativa de cómo el pueblo indígena «Katanzama» experimenta el aprendizaje autorregulado y la metacognición
Authors: Gutierrez de Blume Antonio , Montoya Londoño Diana Marcela , Henao Mejía Juan Pablo , Hurtado Vinasco Karen Sofia
Published: January 2025

Objetivo: el aprendizaje autorregulado (AA) y la metacognición se reconocen como procesos críticos de pensamiento que son necesarios para el logro efectivo, la resolución de problemas y el pensamiento crítico, entre otros. Si bien abundan investigaciones sobre estos conceptos para las poblaciones típicas, que han privilegiado estudios con grupos étnicos blancos de regiones como Estados Unidos y Europa, se considera que no se han investigado estos constructos en otros grupos poblacionales o minorías étnicas. Así, el propósito del presente estudio fue examinar cómo estos dos fenómenos son experimentados por la cultura indígena «Katanzama» de Santa Marta, Colombia. Metodología: para ello, se desarrolló un protocolo de entrevista estructurada con preguntas sobre cómo este grupo de indígenas experimenta el AA, la metacognición y el acto de enseñar. Resultados: los análisis temáticos iterativos revelaron seis temas que surgieron de los datos de las entrevistas: 1) Conocimiento del contexto y relevancia cultural en el aprendizaje; 2) Regulación y adaptación en los procesos de aprendizaje; 3) Diversificación de estrategias de enseñanza; 4) Aprendizaje a partir de errores; 5) Planificación y organización del estudio; y 6) Autocrítica y búsqueda de mejora continua. Conclusiones: se discuten las implicaciones para la investigación, la teoría y la práctica.
Ciencias Cognitivas, inclusión e interculturalidad:
Authors: Giuliani María Florencia , Urquijo Sebastián
Published: January 2025

Este número especial de la revista Ánfora profundiza la intersección entre las ciencias cognitivas, la inclusión y la interculturalidad, explorando la necesidad de trascender los modelos cognitivos tradicionales eurocéntricos. Los artículos reunidos aquí ofrecen una visión más amplia y compleja de los procesos mentales, reconociendo la diversidad de formas de pensar, sentir y relacionarse con el mundo. Al analizar la cognición en contextos interculturales y en poblaciones minoritarias, los autores contribuyen a construir un conocimiento más inclusivo y equitativo. Los estudios presentados abarcan desde el análisis de la relación entre cultura y cognición, pasando por la implementación de modelos educativos interculturales, hasta la exploración de las experiencias cognitivas de personas con neurodiversidad. Los hallazgos que presentan estos artículos tienen importantes implicaciones para la educación, la psicología, la neurociencia y las políticas públicas. Al destacar la importancia de la diversidad cognitiva y cultural, estos estudios invitan a repensar las prácticas educativas y a construir sociedades más justas e inclusivas.
In Vitro Study of Piper Crocatum Ruiz & Pav Potency as HMG-CoA Reductase and Malondialdehyde Formation Inhibitor
Authors: Zaelani Bella Fatima Dora , Safithri Mega , Andrianto Dimas
Published: January 2025

Coronary heart disease is a serious health problem and it is known to be lethal. The disease can be triggered by the accumulation of cholesterol plaques in the walls of blood vessels This cholesterol formation is assisted by methylglutaril-CoA reductase (HMG-CoA reductase) enzyme. Red betel contains active compounds that have the potential to act as HMG-CoA reductase inhibitor. This study aimed to predict the potential of ethanol extract compounds, water fraction, ethyl acetate fraction, and red betel n-hexane fraction as HMG-CoA reductase inhibitors by in vitro method. The in vitro method which consisted of extraction by maceration, graded fractionation with n-hexane, ethyl acetate, and water, continued by thiobarbituric acid (TBA) method to see the potential antioxidant activity of the sample. The Result showed that the highest inhibition of HMG-CoA reductase is 94% was found in the concentration 200 ppm ethyl acetate fraction. Also antioxidant activity of red betel showed by the inhibition of malondialdehyde formation had the highest activity in the ethyl acetate fraction than other fractions used.
Total Flavonoids, Antioxidant Capacity, and Metabolite Profiling of Red Ginger (Zingiber officinale var. rubrum) Jahira 1 Variety
Authors: Purwanto Ukhradiya Magharaniq Safira , Athaya Ardelia , Septaningsih Dewi Anggraini , Safithri Mega
Published: January 2025

Red ginger (Zingiber officinale var. rubrum) is traditionally recognized for its medicinal properties, largely due to its antioxidant potential attributed to secondary metabolites such as flavonoids. This study aimed to evaluate the total flavonoid content and antioxidant capacity of ethanol and water extracts of red ginger from Sukabumi, specifically the Jahira 1 variety, as well as identify bioactive compounds. Extraction was carried out using the maceration method. The total flavonoid content was determined using the aluminium chloride colorimetric method, while the antioxidant capacity was assessed via the ferric reducing antioxidant power (FRAP) assay. Results showed that the ethanol extract had higher total flavonoid content and antioxidant capacity, with values of 5.99 mg quercetin equivalent (QE)/g and 473.93 µM Trolox equivalent (TE)/g, respectively. In contrast, the water extract exhibited 3.73 mg QE/g and 206.75 µM TE/g. Further LC-MS/MS analysis of the ethanol extract identified 26 compounds, including phenolics and terpenoids, which contribute to the antioxidant capacity of red ginger from Sukabumi.
Antimicrobial Activity of Ethyl Acetate Fraction of Kersen Leaves Against Staphylococcus aureus and Escherichia coli
Authors: Weni Mustika , Marfuati Sri
Published: January 2025

The underutilized leaves of the kersen plant contain secondary metabolite compounds that have antibacterial potential. The aim of this research was to test the antibacterial activity of the ethyl acetate fraction of kersen leaf against Escherichia coli and Staphylococcus aureus and determine the best concentration. Kersen leaf extraction method using the maceration method using ethanol solvent, fractionation method using ethyl acetate solvent and testing the antibacterial activity of kersen leaf against Staphylococcus aureus and Escherichia coli using the well diffusion method. The normality test used was the Shapiro-Wilk test and used the One-way Anova parametric statistical test. The results of the phytochemical screening of kersen leaf contain compounds phenols, saponins, tannins, alkaloids and triterpenoids. Concentration of 20% of the ethyl acetate fraction of kersen leaf can inhibit Escherichia coli by 8,817 mm in the medium category and Staphylococcus aureus by 7,987 mm in the medium category. The inhibitory power of the ethyl acetate fraction is higher in inhibiting Escherichia coli than Staphylococcus aureus.
Teacher's Perceptions on the Impact of Curriculum Changes on Accounting Learners’ Academic Performance
Authors: Dikgale Selina , Chauke Thulani
Published: January 2025

This study explores teachers' perceptions regarding the impact of curriculum changes on the academic performance of accounting learners in four selected secondary schools. The ongoing curriculum changes created a state of uncertainty and bewilderment among teachers, which in turn has affected learners' academic performance. Employing a qualitative research approach aligned with interpretivism paradigms, data was gathered through semi-structured interviews. A purposive sampling technique was utilized to select 20 participants from four secondary schools, comprising principals, deputy principals, heads of departments, and teachers within the Shamavunga circuit, Mopani District, Limpopo. Thematic analysis was employed to analyze the data, with due consideration given to ethical guidelines throughout the study. The findings revealed the significant challenges teachers face in the context of accounting science due to curriculum changes. It is apparent that reluctance among certain teachers to embrace novel pedagogical approaches, alongside impediments encountered by learners such as restricted access to learning resources and time constraints, markedly hinder the academic performance of accounting learners. Furthermore, the insufficiency of teacher training concerning curriculum changes emerges as a critical factor impacting their ability to effectively convey accounting concepts to accounting learners. Consequently, this deficit in teaching proficiency directly influences learners' grasp of the subject matter, ultimately affecting their academic performance. To enhance the educational achievement of accounting learners amidst curriculum changes, it is imperative to ensure that teachers are furnished with adequate resources, subject enhancement strategies, and structured training sessions.
Why Do We Wear What We Wear?: Female Schoolteachers’ Activism Against Hegemonic Saree-Only Dress Policy in Sri Lanka
Authors: Jayasooriya Lasni Buddhibhashika
Published: January 2025

The longstanding expectation for female schoolteachers in Sri Lanka to wear sarees is primarily influenced by cultural norms and religious traditions. In November 2022, an organized movement of female activists began opposing this social imperative by wearing casual attires at school, making it the first organized movement of its kind. This paper analyses the island-wide protest led by female schoolteachers as a case through a case study interview with one of the leaders of the activist movement. A document analysis is utilized to examine the background of the saree-only policy. By doing so, a broader understanding of the movement against the saree-only policy and its impetus were gained focusing on how it influenced teacher identity development. The paper offers a critical overview of the control exerted over female schoolteachers, shaped by cultural, religious, and political influences, and how the movement in 2022 reimagined their identities through changes in attire. Findings indicate that female teacher activism challenges longstanding traditions and calls for a redefinition of "Sri Lankan female teacher" exercising individual and collective agency against cultural and religious hegemony despite resistance to change at many levels.