bluuebunny/crossref_metadata_2025 huggingface dataset:
Ayurvedic medicine as a solution to replace antibiotics in order to combat antibiotic resistance in bacteria
Authors: Saanvi Venugopal  , Aditya Shukla
Published: February 2025

Shallaki (Boswellia serratta) and Jeeraka (Cuminum cyminum) extracts are commonly used in ayurveda as anti-inflammatory agents. They are used in prevention and treatment of diarrhea. They are known to possess anti-bacterial properties due to the presence of anti-biofilm properties of some of their constituent compounds such as terpenes. Ayurvedic medicine can be considered for treating bacterial infections alongside with or in place of allopathic antibiotics such as Vancomycin to overcome the growing issue of antibiotic resistance in bacteria that makes it harder to treat. Shallaki and Jeeraka show many health benefits and have minimal negative side effects therefore can be ideal to provide a low-cost and effective solution to overcome antibiotic resistance.
Bilateral gynecomastia: Case report
Authors: Bhavya Deepika Cheepurupalli  , Reshma Shaik  , Mouja Lahari Dangeti  , Geethika Vardanapu
Published: February 2025

Gynecomastia, a benign enlargement of male breast glandular tissue, is the most common breast condition in males, often caused by an imbalance between estrogen and androgen activity. Although it is frequently observed during puberty and later stages of life, persistent prepubertal bilateral gynecomastia without associated endocrine abnormalities is rare. We report a case of a 24-year-old male presenting with a decade-long history of bilateral breast swelling. Clinical evaluation, ultrasonography, and fine-needle aspiration cytology confirmed the diagnosis of gynecomastia. The condition was managed surgically using liposuction combined with gland excision. Postoperative care included antibiotics, pain management, and nutritional support, facilitating a smooth recovery. This case underscores the significance of surgical intervention for long-standing gynecomastia, especially when cosmetic and psychological distress are present. Liposuction combined with gland excision remains an effective approach, ensuring minimal complications and optimal outcomes for adult males with persistent gynecomastia.
Transfersomes: A versatile tool for drug delivery and targeting
Authors: Rakshitha D M  , Ganesh N S  , J Adlin Jino Nesalin  , Vineeth Chandy
Published: February 2025

Transfersomes are an innovative system designed for targeted drug delivery through the skin. They are a type of liposome made from phosphatidylcholine combined with an edge activator. This unique design allows them to penetrate the skin’s outer layer (the stratum corneum) more effectively, either through the intracellular or transcellular pathways. Some of the key advantages of transfersomes include their ability to carry a wide range of drugs, better skin penetration, and their biocompatibility and biodegradability. Transfersomes are adaptable to ambient stress, hence, allowing the ultra-deformable transfersomes to change its membrane composition locally and reversibly, when it is pressed against or attracted into narrow pores. Transfersomes exhibit a flexible structure and higher surface hydrophilicity which play a critical role in the transport of drugs and other solutes using hydration gradients as a driving force to deliver the molecules into and across the skin. Evaluation parameters of transfersomes includes Vesicle size distribution, Zeta potential, Vesicle morphology, Number of vesicles per cubic mm, Entrapment efficiency, Drug content, Turbidity measurement, Degree of deformability, Surface charge, In-vitro drug release, In-vitro skin permeation studies. Transfersomes are incredibly versatile and can be used for controlled drug release, making them ideal for delivering both small and large molecules. They can carry a wide range of drugs, including pain relievers, anesthetics, corticosteroids, sex hormones, anticancer drugs, insulin, gap junction proteins, and albumin. Their ability to transport such diverse compounds makes them a powerful tool in modern medicine for improving drug delivery and effectiveness.
Alzheimer disease: From AI prediction of pharmacotherapy to its drug formulation
Authors: Joe Chou  , Paiho Chen  , Michelle Du
Published: February 2025

Alzheimer disease (AD) is an age-associated neurodegenerative disorder. AD has been studied in the past three decades, yet no success medication is approved to date. The disease causing is a complex process and may involve multi-factorials which is a leading cause of death and a serious burden to families. AD is the most prevalent type of dementia and remains the fifth leading cause of death among Americans aged 65 and older. From literature review, two most disease-causing targets, namely, IDO1 and APOE4 are reported. In this study, we have chosen these two targets for new and or re-purpose molecules prediction by AI algorithm. The selected targets are believed to have potential in ameliorating the progression of AD. Target IDO1 is mainly involve in decreasing energy transfer to neuron. Inhibition of IDO1 may improve neuron energy transfer. As for APOE4, the processes mediated by APOE4, including cholesterol transport, synapse formation, modulation of neurite outgrowth, synaptic plasticity, destabilization of microtubules, and β-amyloid clearance, suggest potential therapeutic target. In this study, molecules that inhibit these two targets via AI prediction are conducted. Finally, an alternative method of NDA drug formulation using FDA drugs database and PAMPA dissolution is proposed for first in human (FIH) clinical study. The comparison between the use of FDA drugs’ ADME parameters and the new molecules’ in vitro ADME parameters for the design of FIH oral drug formulation is addressed.
Devlet Kırılganlığı ile Terörizm Arasında Bir Bağlantı Var Mı? Sahel Ülkelerinin Karşılaştırmalı Bir Analizi
Authors: Baran Sinan
Published: February 2025

Bu çalışmanın amacı başarısız ve kırılgan devletlerin uluslararası terörizmin yayılmasına yol açtığı hipotezini tartışmaktır. Sahra-altı Afrika’nın son yıllarda en kırılgan bölgelerinden birisi olan ve uluslararası terörizmden olumsuz anlamda en çok etkilenen Sahel bölgesi bu çalışmada örnek olay olarak ele alınacaktır. Bu bölgedeki devletlerin kırılganlığı ve terörizme ne denli maruz kaldıkları literatürdeki çalışmalara ek olarak Kırılgan Devletler Endeksi ve Küresel Terör Endeksi verileri aracılığıyla tartışılacaktır. Bu çalışmanın bulgularında Sahel bölgesinde kırılganlığın tek başına terörizmin nedeni olmadığının ortaya koyulmaktadır. Bu çalışmada terörün yayılımını önlemek amacıyla sınır güvenliğinin sağlanıp sağlanamaması devlet kırılganlığıyla beraber göz önünde bulundurulması gereken ek bir neden olarak önerilmektedir. Sahel bölgesinde henüz bu terör dalgasıyla karşılaşmamış ülkeler bulunsa da başarısız ya da kırılgan devlet yapılarının sürdürülmesi halinde ve bu yapıların sınır güvenliğini sağlayamamaları durumunda bu ülkelerde yaşayan halklar tehdit altında kalmaya devam edecektir.
Yeni Bölgeselcilik Yaklaşımı Çerçevesinde Bölgesel Kalkınma Ajanslarının Etkinliklerinin Veri Zarflama Analiziyle Değerlendirilmesi
Authors: Ateş Hamza , Zavalsız Şura , Namlı Bilmez Zehra
Published: February 2025

Bölgesel kalkınma ajansları Türkiye’de Avrupa Birliği’ne uyum süreciyle birlikte kurulmuş kurumlardan birisidir. Bu çalışmada etkinlik ve verimlilikleri tartışma konusu olan kalkınma ajanslarının yeni bölgeselcilik yaklaşımı çerçevesinde göreli etkinliklerinin analiz edilmesi amaçlanmaktadır. Sanayi ve Ticaret Bakanlığı Kalkınma Ajansları Genel Müdürlüğü tarafından yayımlanan 2022 yılı Faaliyet Raporu’ndan yararlanılarak Veri Zarflama Analizi tekniği ile 26 adet kalkınma ajansının verimlilikleri incelenmiştir. Kalkınma ajanslarının; yerel pay bütçe miktarı, toplam gelir bütçesi miktarı, personel sayısı ve genel yönetim hizmet giderleri analizin girdileridir. Yerel pay bütçe geliri gerçekleşme miktarı ve genel yönetim hizmetleri dışındaki tüm gider gerçekleşmesinin miktarı ise analizin çıktılarıdır. Literatürde kalkınma ajanslarının etkinlik kıyaslarında 2022 yılına ait boşluğun bu çalışma ile doldurulması amaçlanmıştır. Yapılan analiz sonucunda en verimli olan kalkınma ajanslarının Doğu Anadolu Kalkınma Ajansı, Güney Ege Kalkınma Ajansı, İpekyolu Kalkınma Ajansı, İstanbul Kalkınma Ajansı, İzmir Kalkınma Ajansı, Karacadağ Kalkınma Ajansı, Mevlana Kalkınma Ajansı, Orta Karadeniz Kalkınma Ajansı ve Serhat Kalkınma Ajansı olduğu görülmüştür.
Kıbrıs’ta 1878’den 1974’e Yaşanan Türk Göçlerine Dair Bir Araştırma
Authors: Cihan Murat , Mazman İbrahim
Published: February 2025

Bu çalışmanın amacı; Kıbrıs’ın 1878 yılında İngiltere’nin egemenliğine girmesiyle başlayan ve 1974 Kıbrıs Barış Harekatı’na kadar geçen süreçte Kıbrıs’ta yaşanan göç hareketlerinin nedenlerini ve Kıbrıs Türk toplumu üzerine olan sosyolojik etkilerini araştırmaktır. Bu bağlamda çalışma yalnızca Kıbrıs’ta yaşanan Türk göçlerini kapsamaktadır. Araştırmada nitel ve nicel yöntemler (karma yöntem) birlikte kullanılmıştır. Sayısal ve sözel değerlerin beraber kullanımı ile açıklama kolaylığının sağlanması ve anlam gücünün arttırılması amaçlanmıştır. Nitel bölümde göçe dair kavramsal çerçeve oluşturulmuş, Kıbrıs’ta yaşanan göç hareketlerinin tarihsel arka planı ele alınmıştır. Ayrıca Lefkoşa’da aralarında Türk Mukavemet Teşkilatı Derneği üyelerinin de yer aldığı bir grup ile odak grup görüşmesi yapılmıştır. Nicel bölümde ise Kuzey Kıbrıs Türk Cumhuriyeti’nde (KKTC) yaşayan 515 birey ile yüz yüze anket uygulaması yapılarak Kıbrıs’ta 1878’den sonra yaşanan göçlerin nedenleri ve etkilerine dair veriler elde edilmiştir. Araştırma sonucunda, Kıbrıs’ta 1878 sonrasında Türklerin yapmış olduğu göçlerin büyük oranda yıldırma ve asimilasyon politikaları sonucu olduğu, göçlerin Kıbrıs’ın demografik yapısını bozduğu, Türk toplumu üzerinde ekonomik, sosyal ve kültürel gerilemeye neden olduğu sonucuna ulaşılmıştır.
Analisis Penggunaan Fly Ash Tipe F pada Beton Non Pasir sebagai Green Concrete
Authors: Purnamasari Eka , Antonius  , Setiyawan Prabowo
Published: February 2025

Penggunaan beton sebagai material konstruksi telah menjadi standar dalam industri, namun eksploitasi pasir alam yang berlebihan berdampak negatif terhadap lingkungan. Beton non pasir muncul sebagai alternatif inovatif untuk mengurangi ketergantungan terhadap pasir, dengan keunggulan berupa struktur berpori yang meningkatkan permeabilitas dan isolasi termal. Penelitian ini menganalisis penggunaan Fly Ash Tipe F , limbah hasil pembakaran batubara dari PLTU Asam-Asam di Kalimantan Selatan, sebagai bahan tambahan dalam beton non pasir guna meningkatkan sifat mekanik dan ketahanannya. Fly Ash berperan sebagai bahan pozzolanik , yang dapat menggantikan sebagian semen dan meningkatkan kuat tekan serta ketahanan terhadap lingkungan ekstrem. Penelitian dilakukan dengan literatur review dan pengujian semen dan Fly Ash. Hasil penelitian didapatkan bahwa peningkatan Fly Ash mempengaruhi reaksi hidrasi semen, sehingga pemilihan dosis yang tepat harus disesuaikan dengan kebutuhan proyek konstruksi. Penambahan Fly Ash Tipe F mampu meningkatkan daya tahan ekologi dan efisiensi beton, sekaligus mengurangi limbah industri dan dampak produksi semen. Dengan demikian, beton non pasir berbasis Fly Ash dapat menjadi solusi berkelanjutan dalam pembangunan infrastruktur yang ramah lingkungan.
Kata Kunci: Beton Non Pasir, Fly Ash Tipe F, Beton Hijau, Sifat Mekanik
Educational work of the university on the preservation of historical memory (based on the material of the military poetry competition)
Authors: Tsareva Nadezhda Alexandrovna , Mirza Nikolai Ivanovich
Published: February 2025

The aim of the research is to substantiate the possibility and effectiveness of organizing educational work in higher education using the material of fiction (poetry) to preserve historical memory. The novelty of the work lies in the fact that the experience of successful pedagogical practice of holding a poetry competition at a university is described and analyzed for the first time. As a result of the research, the educational potential of the competition is substantiated. Firstly, the ideological and spiritual content of fiction (poetry) is a rich source for the preservation of historical memory. Poems attract students with characteristics similar to social media texts (brevity, relevance, novelty). The emotional and sensory perception of poetry allows history to be perceived at a personal level. Secondly, a poetry recitation competition is an effective form of preserving historical memory, as it allows for the organic combination of emotional-sensory and activity components of perception. Thirdly, the effectiveness of the recitation competition lies in the possibility of developing students' intellectual abilities (expanding the circle of reading, text analysis, argumentation of answers to questions, etc.); developing creative skills (motivation to participate in the competition, search and selection of text, public speaking, etc.). Research in the field of finding various forms of educational work using fiction in higher education to preserve historical memory is heuristic in nature.
Transformation of the author's image in A. Platonov's novella "For Future Use" (1931): From "subject" to "observer"
Authors: Bedrikova Maya Leonidovna , Zaitseva Tatiana Borisovna
Published: February 2025

The aim of the research is to identify the features of the "observer" figure in a world changing "at full historical speed" (in the writer's own words) in A. Platonov's novella "For Future Use" (1931). In the article, in the light of new approaches (to give a rethought vision of the idea of socialism, cleansed of ideological clichés), the authors, in the course of analyzing the text of the novella "For Future Use", reveal the peculiarities of Platonov's worldview, which is primarily carried in the novella by the "observer" of the lives of contemporaries, builders of a new world, in the social situation of the dominance of the idea of "accelerating the course of time" during the first Soviet five-year plans. The analysis of the novella "For Future Use" is carried out taking into account the utopian discourse. The scientific originality of the research lies in the fact that it is the first time that the problem of the author in Platonov's prose is explored on the basis of theoretical research in the field of "history of vision" by M. B. Yampolsky, who linked the birth of the phenomenon of the "observer" (instead of the traditional "subject"-narrator) with the situation of crisis in the history of culture of the 20th century. As a result of the research, it was established that the introduction of the "observer" figure is an important principle of the writer's aesthetic attitude, it was proved that the "observer"-author and the "observer"-character are present and interact in the text of the novella "For Future Use". The typology of heroes of Platonov's prose is supplemented with new images, and the peculiarities of the author's position are clarified. Not being identical, these hypostases of the "observer" (author and character) allow Platonov to translate meanings and feelings important to him: deep anxiety for the soul of man, his happiness, for the fate of mankind in a new world being created before the eyes of his generation.
Intertextual strategies in S. Dovlatov's early short story "Save Our Ears!"
Authors: Khatniuk Artem Vadymovych
Published: February 2025

The aim of the research is to identify intertextual strategies used by S. Dovlatov in his early literary and journalistic work. From these positions, the article examines the short story "Save Our Ears!", highlighting literary associations of the story with the satirical traditions of previous writers at the level of form and content. The scientific novelty of the research lies in the fact that this is the first time that Dovlatov's early short story is considered in the aspect of intertextuality. As a result, it was established that intertextual strategies serve to organize different levels of the work: the title (the author's contamination of a set expression); the narrative manner (satirical stylization from the first person using colloquial vocabulary and syntax); the motif-image system (the motif of false politeness, the motif of misunderstanding, the motif of a humble intellectual), supported by direct quotation, which creates a comic effect; key words-meanings ("ears", "get a haircut", "hairdresser" as an allusion to the poem by V. Mayakovsky "They Understand Nothing"). The significant influence of the traditions of satirical writers – A. Averchenko and M. Zoshchenko – on the idiostyle of the early S. Dovlatov is also demonstrated.
User Experience Evaluation of YouTube Website Using Eye Tracking Method
Authors: Larasati Salsabila , Putra Pacu , Oktadini Nabila Rizky , Meiriza Allsela , Sevtiyuni Putri Eka
Published: February 2025

YouTube is one of the most popular social media in Indonesia, with one of its features being the Clip Feature, which allows users to share 5-60 seconds video snippets, but many users still experience difficulty in accessing this feature. Based on a survey of more than 130 respondents, 60% were unaware of the Clip Feature, 85% had never used it, and 75% had difficulty finding its location in the YouTube interface. This research aims to evaluate the user experience in accessing the Clip Feature on the YouTube website using the Eye Tracking method, as well as analyzing user attention patterns. Through the RealEye.io tool, the results show that the quality of the test data is very good, with an average E-T data integrity value of 90.33% and gaze on screen of 89.73%. Heatmaps and gaze plot analysis show that respondents' attention patterns tend to show confusion, especially when looking for the Clip feature. This is supported by the results of the attention & emotion graphs analysis, which overall show that the average attention level of respondents is at 0.318, with an increase in the emotion of surprise experienced by respondents more than the emotion of happy. Although the Clip Feature offers significant benefits, users still experience difficulties in accessing it, which results in a decreased user experience. This research is expected to provide new recommendations in improving the user experience of YouTube website, specifically to make the Clip feature more accessible and effective to use.
Analysis of the Use of MTCNN and Landmark Technology to Improve the Accuracy of Facial Recognition on Official Documents
Authors: Chandra Ferri Rama , Ngemba Hajra Rasmita , Hamid Odai Amer , Lapatta Nouval Trezandy , Hendra Syaiful , Nugraha Deny Wiria , Syahrullah Syahrullah
Published: February 2025

A face recognition system consists of two stages: face detection and face recognition. Detection of features such as eyes and mouth is important in facial image processing, especially for official documents such as identity cards. To ensure identification accuracy, this research applies facial landmark extraction technology and MTCNN (Multi-Task Cascaded Convolutional Neural Network). The purpose of this research is to evaluate the accuracy of MTCNN in detecting facial features at the Department of Population and Civil Registration (dukcapil) Palu City, using facial landmarks and waterfall methods as an application development methodology. The evaluation results show that MTCNN has high face recognition accuracy and good positioning ability regardless of what GPU in use as long have right CPU and System Operation. In comparison, the Viola-Jones algorithm is effective for high-speed applications, while SSD offers balanced performance with GPU device requirements for optimal performance. While MTCNN proved to be effective, challenges still exist, such as false positives and false negatives, especially in poor lighting conditions and extreme poses. Image and camera quality, including resolution and facial expression, also affects detection accuracy. These findings suggest that the application of MTCNN can improve face recognition accuracy for official documents, although it requires addressing existing challenges. With this technology, it is expected that errors in facial recognition can be minimized, resulting in more reliable data that meets the standards for issuing identity documents. This research contributes to the development of a more accurate and efficient face recognition system for personal identification applications.
Application of Gated Recurrent Unit in Electroencephalogram (EEG)-Based Mental State Classification
Authors: Giri Gst. Ayu Vida Mastrika , Sanjaya ER Ngurah Agus , Suhartana I Ketut Gede
Published: February 2025

The classification of mental states based on electroencephalogram (EEG) recordings has recently gained significant interest in cognitive monitoring and human-computer interaction fields. Due to high signal variability and sensitivity to noise, correct classification is still tricky, even with advances in the analysis of EEG signals. Among deep learning models, Gated Recurrent Unit (GRU) models have established great potential for sequential EEG data analysis. The applications of the GRUs are less reviewed in tasks concerning classification cases of mental states compared to hybrid and convolutional models. Based on this paper, we will propose a method for developing a model based on the GRU network trained with raw EEG data in the classification tasks of mental states of concentration and relaxed conditions. We analyzed 400 EEG recordings taken from 10 subjects within a controlled environment and collected using the Muse EEG Headband.  The mean, standard deviation, skewness, kurtosis, power spectral density, zero-crossing rate, and root mean square were extracted as statistical features from the raw EEG data. After parameter tuning, the GRU-based model achieved an excellent average accuracy value of 95.94% and also yielded precision, recall, and F1-scores within the range of 0.95 to 0.97 over 5-fold cross-validation. This shows that GRU works well in classifying mental states based on the EEG data.
Optimization of Urban Waste Collection Routes Using the Held-Karp Algorithm in a Web and Mobile-Based System
Authors: Arsita Tiara Juli , Lapatta Nouval Trezandy , Joefri Yuri Yudhaswana , Angreni Dwi Shinta , Pratama Septiano Anggun
Published: February 2025

In 2023, the Environmental Agency of Palu City recorded a total waste production of 97,492 tons, of which 10.4% was plastic waste. The Palu City Government operates a fleet of garbage trucks on a predetermined collection schedule. However, garbage bins frequently overflow before their scheduled pickup, resulting in extended waste accumulation and inefficiency. This study proposes a web and mobile-based system to enhance waste management by integrating bin condition reporting and shortest route calculation for collecting full bins. The Held-Karp algorithm is utilized to address the Travelling Salesman Problem (TSP) for determining optimal collection routes. The system was developed using Golang, Flutter, ReactJS, and a MySQL database. API functionality was validated using Postman, and overall system functionality was tested using the black-box method. A case study involving 8 test points (1 starting point, 10 waste collection points, and 1 endpoint) demonstrated that the proposed system reduces travel time by up to 21.74%, costs by 22.29%, fuel consumption by 21.16%, and distance traveled by 21.16% compared to conventional methods. These results highlight the potential of the system to significantly optimize waste collection operations and support sustainable urban waste management practices.
Optimization of Distribution Routes Using the Genetic Algorithm in the Traveling Salesman Problem
Authors: Naufal Rahmad , Hasibuan Muhammad Siddik
Published: February 2025

Transportation plays a vital role in business operations, as it is essential for product distribution to maintain profitability. Optimizing distribution routes is crucial to reducing transportation costs, travel time, energy usage, and resource allocation while maximizing efficiency. Micro-entrepreneurs, particularly settled retailers, often face challenges in determining optimal travel routes, resulting in inefficiencies in product distribution. This issue is classified as a Traveling Salesman Problem (TSP), which involves finding the shortest possible route connecting several locations before returning to the starting point. To address this problem, this study applies a two-step approach: the greedy algorithm to provide an initial solution and the genetic algorithm for further optimization. The research employs both manual calculations and MATLAB 2018A software to solve the TSP. Results demonstrate that the optimized route reduces the travel distance by 1,260 meters compared to the initial solution, highlighting significant improvements in operational efficiency.
Apriori Algorithm Analysis to Determine Purchasing Patterns at Beleven Farma Pharmacy
Authors: Lufiah Fara , Indah Dwi Rosa , Firdaus Mgs Afriyan
Published: February 2025

Beleven Farma Pharmacy is a place that provides medicines and other health products such as supplements, vitamins and also various health tests. As a newly established pharmacy, no innovations have been made to improve sales strategies. Analysis of purchasing patterns can produce information that helps pharmacies in determining product bundling recommendations as well as determining product layout. This research applies the a priori algorithm method and uses rapidminer tools to identify drug purchasing patterns from transaction data at the Beleven Farma pharmacy. The Knowledge discovery in database (KDD) method is used as a reference in the data processing process. Based on tests carried out by the author, the resulting rules are that if you buy hemaviton you will buy vice with 4% support and 91% confidence and if you buy amoxicillin you will buy paracetamol with 4% support and 64% confidence. Thus, the resulting information can be used to support decision making in determining marketing strategies so as to increase sales at pharmacies.
Coffee Beans Classification Using Convolutional Neural Networks Based On Extraction Value Analysis In Grayscale Color Space
Authors: Santoso Bagus Raffi , Sari Christy Atika , Rachmawanto Eko Hari
Published: February 2025

Coffee is a vital agricultural commodity, and precise classification of coffee beans is crucial for quality assessment and agricultural practices. In this study, we propose a methodology utilizing Convolutional Neural Networks (CNN) based on ResNet-101 architecture for coffee bean classification. The novelty of our approach lies in the integration of comprehensive feature extraction from grayscale coffee bean images, including mean, standard deviation, skewness, energy, entropy, and smoothness, with the transfer learning capabilities of CNN. Through this integration, we achieved exceptional classification performance, with the CNN model attaining accuracy, recall, precision, and F1-score metrics of 99.44% and 100% on the training data, and 100% on the testing data. These results underscore the robustness and generalization capability of our methodology in accurately classifying coffee bean types. While the dataset used in this study is experimental, the comprehensive feature extraction and the effectiveness of the CNN architecture suggest the potential for accurate classification of coffee bean types beyond the experimental data, provided the new data shares similar characteristics to the collected samples. For future research, we recommend exploring the integration of two transfer learning techniques within CNN architectures to further enhance coffee bean classification systems. Specifically, leveraging pre-trained CNN models as a foundation for feature extraction, while simultaneously fine-tuning specific layers to adapt to the nuances of coffee bean classification tasks, could offer improved model performance and scalability.
Sentiment Analysis on Google Reviews Using NaÃ¯ve Bayes, K-Nearest Neighbors, and Logistic Regression to Improve Novotel Services
Authors: Dhamma Yonathan Arya , Barus Simon Prananta
Published: February 2025

The application of artificial intelligence (AI) has been widely used in various industrial sectors, including the hospitality industry. One of the applications that is widely used in the hospitality industry is sentiment analysis. Sentiment analysis is carried out by analyzing feedback data from hotel guests or customers. The results of this sentiment analysis are important for decision makers to improve and improve their services. This study aims to obtain sentiment analysis results from Novotel hotel Google reviews based on machine learning by comparing three algorithms, namely NaÃ¯ve Bayes, K-Nearest Neighbors (KNN), and Logistic Regression. The stages carried out in this study are data collection, data labeling, exploratory data analysis (EDA), data preprocessing, text representation, data sharing, modeling, model training, model evaluation, selection of the most accurate model, visualization of the most accurate model, interpretation of results and writing research reports. The dataset used was 1200 reviews, only 1190 reviews were used in the analysis. From the training results, the model produced by the Logistic Regression algorithm was the most accurate, namely 94.54% with unigrams (n = 1). Here are the results of each category, positive as many as 723 reviews (60.76%), negative as many as 218 reviews (18.32%), and neutral as many as 249 reviews (20.92%). Thus, most of the sentiment towards the service is positive, but some services need to be fixed and improved for customer satisfaction. The next research, the research area is expanded and the use of Deep Learning.
FORMS AND STAGES OF COMMUNITY PARTICIPATION IN THE JOINT BUSINESS GROUP (KUBE) ALKESA LESTARI CIPEDAK JAGAKARSA SOUTH JAKARTA
Authors: Lifya Afrianti Hanum  , Muhtadi
Published: February 2025

Penelitian mengenai partisipasi masyarakat pada Program KUBE di Kelompok Usaha Bersama (KUBE) Alkesa Lestari Cipedak, Jagakarsa, Jakarta Selatan ini membahas tentang bagaimana partisipasi masyarakat dalam program KUBE yang merupakan salah satu program kerja Kementerian Sosial, juga membahas tentang bentuk dan tangga partisipasi masyarakat dalam menjalankan program usaha di KUBE Alkesa Lestari. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif yang digambarkan dengan kata-kata tertulis dan angka. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Teori yang dipakai menjelaskan tentang bentuk dan tangga partisipasi masyarakat. Hasil dari penelitian menunjukkan bahwa dari tahap perencanaan anggota belum terlibat. Tahap pelaksanaan masyarakat sudah berkontribusi dengan baik dalam menjalankan program KUBE. Tahap pelembagaan partisipasi anggota sudah terlibat dengan baik. Tahap monitoring dan evaluasi anggota KUBE Alkesa Lestari masih belum dilibatkan namun dapat terlibat dengan memberikan penilaian dan saran terhadap program KUBE.
ELOC BESTARI – EMPOWERING LOCAL COMMUNITIES BASED ENVIROMENTAL STEWARDSHIP THROUGH SOCIAL FORESTRY
Authors: Tuti Rokmawati  , Muhammad Ilham Adhi Prabowo  , Dadang Rachmat Pudja
Published: February 2025

Kecamatan Ulubelu, Kabupaten Tanggamus, Provinsi Lampung merupakan salah satu daerah penghasil kopi robusta terbesar di Indonesia. Mayoritas masyarakatnya menanam kopi di hutan masyarakat (perhutanan sosial). Namun, pengetahuan terkait dengan pengelolaan hutan secara berkelanjutan masih terbatas. Banyak ditemukan praktik perambahan dan perburuan liar di hutan ulubelu yang mana hutan merupakan sumber kehidupan bagi masyarakat sekitar. Oleh karena itu, PT PGE Tbk Area Ulubelu berinisiasi untuk menemukan alternatif solusi yang bekerja sama dengan kelompok masyarakat binaan CSR nya yakni KUPS (Kelompok Usaha Perhutanan Sosial) Margo Rukun Bestari, ERMi (Emergency Response Group Millenials) dan KUBERSERI (Kelompok Usaha Bersama Ulubelu Lestari). Masing-masing kelompok memiliki peran penting pada keberlanjutan perhutanan sosial di Ulubelu. Dengan demikian, Eloc Bestari menunjukkan bagaimana inovasi dan kerjasama dapat membantu mencapai tujuan bersama dan menciptakan nilai tambah bagi semua pihak yang terlibat. Kajian ini menggunakan metode penelitian kualitatif deskriptif untuk menjelaskan implementasi dan dampak program Eloc Bestari. Hasil dari penelitian ini menunjukkan bahwa program CSR perusahaan yang bekerja sama dengan masyarakat sekitar mampu untuk mengatasi permasalahan dan memberikan dampak baik dengan adanya peningkatan kesejahteraan dengan tetap melestarikan lingkungan
ANALYSIS OF THE PT PERTAMINA EP SANGATTA FIELD COMMUNITY DEVELOPMENT MODEL IN PENGEMBANGAN TANI HUTAN KELULUT SANGATTA (PROLEKTA) PROGRAM
Authors: Elis Fauziah  , Naomi Shinta Pasila  , Oscar Mudha Kusuma
Published: February 2025

Konsep Corporate Social Responsibility telah diterapkan oleh berbagai perusahaan sebagai strategi dalam berperan aktif untuk meningkatkan kualitas hidup masyarakat di sekitar perusahaan. Pertamina EP Sangatta Field melalui Program Pengembangan Tani Hutan Kelulut Sangatta (PROLEKTA) ikut memberikan andil dalam peningkatan ekonomi dan pelestarian hutan di wilayah Sangatta Selatan yang menyasar kepada Kelompok Tani Hutan Kelulut Trigona Reborn di Desa Sangatta Selatan, Kabupaten Kutai Timur, Provinsi Kalimantan Timur. Tujuan riset ini untuk menganalisa model pengembangan masyarakat secara detail dan mendalam pada PROLEKTA yang mengupayakan pelestarian lingkungan dan peningkatan ekonomi kelompok tani hutan kelulut di wilayah Desa Sangatta Selatan. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Pengumpulan data dilakukan dengan teknik observasi, wawancara, studi pustaka, dan dokumentasi terhadap Kelompok Tani Hutan Kelulut Trigona Reborn. Hasil dari penelitian ini adalah Program Pengembangan Tani Hutan Kelulut Sangatta (PROLEKTA) oleh Pertamina EP Sangatta telah mengimplementasikan tiga model pendekatan yaitu melalui masyarakat lokal, perencanaan sosial, dan aksi sosial yang diwujudkan dalam terobosan Advance Edu-Wisata Agrosilvopastura yang berfokus pada dampak ekonomi dan lingkungan di Desa Sangatta Selatan. Program Pengembangan Tani Hutan Kelulut Sangatta (PROLEKTA) oleh Pertamina EP Sangatta dapat dijadikan referensi model pengembangan Edu-Wisata yang baik bagi perusahaan maupun kelompok tani lain untuk meningkatkan ekonomi masyarakat yang ikut serta melindungi dan menjaga lingkungan
ANALYSIS OF THE COMMUNITY EMPOWERMENT MODEL OF PT PERTAMINA PATRA NIAGA AFT BIL IN OVERCOMING THE REDUCTION OF STUNTING RATES IN PENUJAK VILLAGE WEST PRAYA DISTRICT CENTRAL LOMBOK REGENCY
Authors: Dian Fadhliana  , Muhammad Rizqi Hidayatullah
Published: February 2025

Berbagai riset yang membahas seputar Stunting di negara berkembang khususnya di Indonesia membidik prevalensi stunting yang masih berada di angka 30,8% di atas rata-rata prevalensi dunia yaitu 22,2%. Di negara lain seperti Ethiopia 52,4%, di susul peringkat berikutnya Congo sebesar 40% dan Afrika yang menduduki angka stunting sebesar 34,5%. Kondisi tersebut masih jauh dari angka yang ditetapkan oleh Word Health Organization yang menargetkan angka stunting kurang dari 20%. Stunting merupakan masalah gizi kronis pada Balita yang disebabkan oleh asupan gizi kurang dalam waktu cukup lama dan diakibatkan dari pemberian makanan yang tidak sesuai dengan kebutuhan gizi seimbang. Stunting disebabkan karena gizi buruk saat ibu hamil, anemia pada masa kehamilan, tidak mendapatkan ASI eksklusif, anak kurang mendapatkan nutrisi saat MPASI, sanitasi buruk, diare berulang, tidak rutin imunisasi, bayi prematur, praktik pengasuhan kurang baik, dan kemiskinan. Sedangkan Balita stunting berdampak pada meningkatnya risiko mortalitas dan morbiditas, rendahnya kemampuan kognitif, risiko penyakit kronis saat dewasa, gangguan kesehatan reproduksi hingga rendahnya produktivitas. Berdasarkan hasil Survei Status Gizi Indonesia (SSGI) tahun 2022, angka prevalensi stunting di Nusa Tenggara Barat mencapai 32,7% atau sebesar 1,3% dari angka stunting pada tahun 2021. di Kabupaten Lombok Tengah prevalensi angka stunting menduduki angka 37% berdasarkan data e-PPGM per Agustus 2022. Tingginya angka tersebut mendapatkan atensi dari berbagai pihak salah satunya dari program pemberdayaan masyarakat yang dilaksanakan oleh PT Pertamina Patra Niaga AFT BIL sebagai perusahaan BUMN yang berkontribusi dalam pengurangan prevalensi stunting di desa Penujak kabupaten Lombok Tengah. Penelitian ini menggunakan pendekatan deskriptif kualitatif yang menggabungan teknik pengambilan data secara purposive sampling pada penerima manfaat program. Hasil temuan dari model pemberdayaan masyarakat PT Pertamina Patra Niaga AFT BIL menerapkan model komprehensive yang mampu dijadikan sebagai contoh pelaksanaan program bebas stunting di Indonesia. Melalui program pemberian makanan tambahan (PMT) selama 12 bulan menghasilkan peningkatan Gizi sebesar 47% pada tahun 2024.
SOCIAL FORESTRY BUSINESS GROUP (KUPS) MARGO RUKUN BESTARI: THE TRANSFORMATION FROM POACHER TO CONSERVATIONIST
Authors: Suranto Hadi , Gustriandha Ryan Dwi , Pudja Dadang Rachmat , Luthfan Rezal , Nazah Nurul Hidayatun , Rokmawati Tuti
Published: February 2025

This study aims to explain the impact of the Corporate Social Responsibility (CSR) program initiated by PT Pertamina Geothermal Energi Tbk (PGE) Ulubelu Area through a social forestry approach on the Margo Rukun Bestari Social Forestry Business Group (KUPS) in Ulubelu District, Tanggamus Regency, Lampung Province. This research uses a quantitative description method. This program prioritizes a circular interaction approach that includes profit and non-profit activities. The results showed that communities once involved in forest destruction activities are now transforming into proactive environmental conservationists. KUPS members, who are mostly former forest hunters, have succeeded in educating and inviting the surrounding community to be more aware of the importance of sustainable forest product management. The program has increased coffee farming productivity, improved degraded land, and increased community income. This initiative is a relevant model to be adapted in other regions with similar conditions.
STAKEHOLDER PERSPECTIVES ON THE SATISFACTION OF VILLAGE FINANCIAL GOVERNANCE IN SERANG REGENCY
Authors: Prasetyo Eko , Hunainah Hunainah , Maulana Rachmat
Published: February 2025

This study analyzes stakeholder satisfaction towards village financial governance in Serang Regency. A quantitative approach was employed, involving a survey of 400 respondents from various villages selected purposively based on Article 16 of the Ministry of Villages, Development of Disadvantaged Regions, and Transmigration’s Regulation No. 21 of 2020. The data were collected using questionnaires with a Guttman scale. The research findings indicate that 59% of respondents are dissatisfied with village financial management, while 41% express satisfaction. The study highlights that public satisfaction towards financial governance is influenced by information transparency, participation in decision-making, program distribution, and direct benefits received. Male respondents report higher satisfaction than females due to more intensive involvement in village activities. Active participation enhances expectations and overall satisfaction among residents. However, disparities in benefit distribution of programs remain a challenge. To improve satisfaction, village governments must enhance transparency, increase community participation, and ensure a more equitable and impactful distribution of programs. The implications of this study emphasize the importance of improving village financial governance by strengthening transparency, fostering community engagement, ensuring fair program distribution, and enhancing community support to increase stakeholder satisfaction in financial management.
The Indirect Effect of Socioeconomic Status on Psychological Well-being through Achievement in Emerging Adulthood
Authors: Kim Jihun , Lee Seungyeon , Nam Yeseul
Published: February 2025

This study examines the indirect effect of socioeconomic status (SES) on psychological well-being (PWB) through achievement in emerging adulthood (EA) [ages 18-29], grounded in life history theory (LHT). We hypothesized that SES is indirectly related to self-efficacy and subjective well-being (SWB) through achievement. Data from the EAMMi2 project (Reifman & Grahe, 2016; Grahe et al., 2019) included 1,410 respondents meeting criteria for age, household income, and attention check. Achievement was measured through Markers of Adulthood scale (Arnett, 2001). PWB was assessed through the Generalized Self-Efficacy Scale (Schwarzer & Jerusalem, 1995) for self-efficacy and the Satisfaction with Life Scale (Diener, 1985) for SWB. Findings revealed a negative association between SES and achievement, alongside positive associations between achievement and both self-efficacy and SWB. Results suggest that lower SES emerging adults prioritize developmental milestones to enhance well-being, aligning with a fast life history strategy (LHS), offering integrated socioeconomic and psychological approaches with LHT.Keywords: emerging adulthood (EA), Emerging Adulthood Measured by Multiple Institutions 2 (EAMMi2), adulthood achievement, socioeconomic status (SES), psychological well-being
Unveiling U Gem Outbursts: Light Curve Analysis and Exploring Correlations of Outburst Mechanism
Authors: Zobair Talha , Hasan S.M. Fuad
Published: February 2025

As a nova-typed cataclysmic star, U Gem exhibits outbursts in brightness and stars like this have left astronomers puzzled about the underlying mechanism. By analyzing U Gem’s light curve (a graph representing its changing magnitude over time which reveals the outburst cycle), spectrums, and the temperature variation of its white dwarf component, we gained a bit of understanding of these outbursts. Using professional data sites like The American Association of Variable Star Observers (AAVSO) and the Cosmic Origins Spectrograph (COS) on the Hubble Space Telescope (HST), we gathered light curves to identify different phases of outbursts as well as collected the visible spectrums and UV spectrums. During the narrow and wide outbursts, it brightened about an average of 4.7 mags, and 5.6667 mags respectively in Vis. band, the radial velocity increased 314.486 ± 11.2 km/s from the quiescence phase to the decline phase, and the WD cools from a temperature of ~41,500 K, 15 days after the peak of the outburst, to ~36,250 K, 56 days after the peak of the outburst. By studying periods of outbursts, we have linked them to material activities in U Gem. The Balmer spectral lines were also investigated to follow the variations in radial velocity during outburst phases. Correlating these phases with variations in radial velocity, derived from spectral line shifts, and white dwarf temperature changes during quiescence provides crucial insights into the system's behavior and helps to understand the dynamics of the accretion disk and the evolution of cataclysmic variable stars. This, I hope, is going to make it easier for others who may wish to study further about cataclysmic variable stars and the intricate dynamics of peculiar stars like this one to do so.
Realization of the Universe by a “Matter – anti-Matter” mass-Energy Neutralizing System
Authors: RUMMENS François
Published: February 2025

The present article proposes a Gravity theory by considering a Matter and an anti-Matter Universe where Gravitational energy between such Universes neutralizes exactly their Mass Energy. The theory meets the "classical tests" of general relativity, explaining the perihelion precession of Mercury's orbit, the deflection of light by the Sun and the gravitational redshift of light. The theory implies a dissipative mechanism which can be assigned to gravitational waves.Universe Mass Energy is expressed in function of an a-temporal Universe Radius R. The variation with R of Universe Mass Energy is related to the a-temporal Universe Surface and the power 4 of Universe Temperature, 2,72 K. The proportionality factor is the square of α, the fine structure constant. With 74022 m/sec/Mega Parsec as the Hubble constant value, α is 7,2974E-03.In the proposed theory, our Observed Universe (Space-time), limited by light speed, is an infinite Radius temporal Instance of the a-temporal finite Radius Universe. Red Shift of faraway stars is not primarily attributed to the geometrical stretching of wavelengths by an expanding Universe, but to the fact that light emitted in past “distance”, was emitted at a proportionally lower value of c, the speed of light, when considering a finite Universe Radius or at a proportionally lower value of α, the fine structure constant, when considering an infinite Universe Radius. In the proposed theory, gravity is compatible with quantum mechanics and the uncertainty principle. To an a-temporal finite Radius Universe, correspond observed temporal Universe Instances (space-time) of infinite Radius (and vice-versa). Such instances are entangled. There is quantum and gravitational entanglement.Cold Dark (resp. Ordinary) Matter results from continuous (resp. quantified) loss or gain of photon’s energy in gravitational potentials. The theory considers development of positive mass by red shift and negative mass or anti-Matter by blue-shift. The huge Universe ratio “Blue shift” / “Red shift” accounts for the dominance Matter versus anti-Matter.Non gravitational forces evolve to restrict entropy, resulting in quantification of ordinary matter. This leads to several hot photons release “events (recombination)”, what implies Universe mass reduction and Gravitational Energy adjustment by a dispersive Gravitational force. This leads to corresponding agglomerations (formation of galaxies …). Such recombinations account for observed CMB angular peaks.
Fractal Riemann Hypothesis. PART E, The Connection Between Fractal L-Functions and the Langlands
Authors: zhou changzheng , zhou ZIQING
Published: February 2025

his paper delves into the connection between fractal L-functions and the Lang?lands Program, exploring their applications to the Fractal Riemann Hypothesis(FRH). By combining fractal Zeta functions with automorphic representation the?ory, we prove that the distribution of zeros of fractal L-functions can be strictlyconstrained by automorphic forms in the Langlands Program. Furthermore, lever?aging the self-similarity of fractal geometry and the symmetry of modular forms, wereveal the profound relationship between the zero distribution of fractal L-functionsand the critical line Re(s) = DH/2 of the Fractal Riemann Hypothesis. Numeri?cal simulations and theoretical analysis demonstrate that the zero distribution offractal L-functions aligns closely with the predictions of the Langlands Program,validating the universality of the Fractal Riemann Hypothesis. This study not onlyprovides new theoretical tools for the intersection of fractal geometry and numbertheory but also opens new directions for research in fractal quantum field theoryand quantum gravity
Fractal Spacetime Quantum Field Theory: Rigorous Formulation and Experimental Tests
Authors: zhou changzheng , zhou ZIQING
Published: February 2025

This paper establishes a rigorous mathematical framework for Fractal QuantumField Theory (FQFT) in fractal spacetime, achieving theoretical breakthroughsthrough the following innovations:1. Construction of Sierpinski Sponge Manifold: Using Hutchinson’s iter?ated function system, we prove that its Hausdorff measure satisfies HDH (M) =limδ→0 inf P(diam Ui)DH , ensuring mathematical rigor in fractal spacetime.2. Caputo-Type Fractional Derivative: We construct Dαf(x) = 1Γ(1−α)R x0f′(t)(x−t)α dt,which preserves causality and gauge symmetry.3. Fractal Renormalization Group Equations: We derive β(gi) = (4 −DH)gi +PCijk(DH)gjgk, revealing the relationship between the dimensionparameter DH and the Standard Model coupling constants.Experimental predictions show:• For DH = 3.98, the top quark mass correction ∆mt/mt = (0.3 ± 0.1)% agreeswith LHC data.• The Higgs phase transition strength α = 0.4 predicts gravitational wave sig?nals within the LISA detection window.Fractal lattice field theory simulations confirm theoretical self-consistency with er?rors < 5%. This study provides a new paradigm for unifying quantum gravity andhigh-energy physics.Keywords: Fractal Quantum Field Theory; Hausdorff Dimension; FractionalDerivative; Renormalization Group; LISA Gravitational Waves