bluuebunny/crossref_metadata_2025 huggingface dataset:
Psicologia Intensivista
Authors: SILVA NEIVANE FERNANDES DA
Published: November 2024

Este E-book é um livro digital sobre Psicologia Intensista de autoria da Psicóloga Intensivista Neivane Fernandes da Silva. A entrada de profissionais Psicólogos na equipe de saúde da Unidade de Terapia Intensiva é recente, por isso é revelante abordar o tema, bem como descrever a atuação dos psicólogos intensivistas no contexto da UTI. Por isso, convido a todos a adentrar nessa realidade e adquirir novos conhecimentos.
O LETRAMENTO VISUAL EM MATERIAIS DIDÁTICOS BILÍNGUES PARA SURDOS (LIBRAS/ LÍNGUA PORTUGUESA): ESCOLHAS E PRÁTICAS PEDAGÓGICAS DO PROFESSOR SURDO
Authors: Tavares Talita Nabas
Published: November 2024

“A obra Letramento Visual em Materiais Didáticos Bilíngues para Surdos (Libras/Língua Portuguesa): escolhas e práticas pedagógicas da professora surda Talita Nabas Tavares é um marco transformador na abordagem do letramento voltado para surdos. Pioneira nesse campo, Tavares, professora surda, oferece contribuição única ao compartilhar suas vivências como educadora de Língua Portuguesa para surdos, uma área que ainda carece de referências práticas e metodológicas.
Com uma abordagem inovadora, a autora desconstrói barreiras históricas e desafia a perpetuação de métodos educacionais coloniais que impõem um “jeito ouvinte de ensinar” aos surdos. Em contraponto, Tavares apresenta e defende o “jeito surdo” de lecionar a Língua Portuguesa, traçando um caminho pedagógico que valoriza e respeita as identidades surdas. A obra ressalta, com profundidade e riqueza de detalhes, a importância de adotar uma metodologia baseada no letramento visual, que reflete a forma como as pessoas surdas percebem e compreendem o mundo” — Nanci Araújo Bento.
Introduction to the special issue on “Brazilian fossiliferous sites with paleobiological importance”
Authors: Horodyski Rodrigo , Ismael de Araújo Júnior Hermínio
Published: November 2024

To enhance our understanding of Brazilian paleontological heritage, we have launched the special edition titled “Brazilian Fossiliferous Sites with Paleobiological Importance”. A total of seven manuscripts have been accepted and published in Vol. 7 No. SI2 (2024). Recognizing our fossil heritage is essential for the scientific and cultural advancement of Brazil. We strongly encourage paleontologists to continuously publish papers on our rich fossiliferous deposits.
Euler’s and the taxi cab relations and other numbers that can be written twice as sums of two cubed integers
Authors:   European Space Agency (ret.), PLETSER Vladimir
Published: November 2024

We show that Euler’s relation and the Taxi-Cab relation are both solutions of the same equation. General solutions of sums of two consecutive cubes equaling the sum of two other cubes are calculated. There is an infinite number of relations to be found among the sums of two consecutive cubes and the sum of two other cubes, in the form of two families. Their recursive and parametric equations are calculated.
Reviewer Acknowledgements for International Linguistics Research, Vol. 7, No. 1
Authors: Lane Sarah
Published: November 2024

International Linguistics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated.
International Linguistics Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://home.ideasspread.org/for-reviewers/ and e-mail the completed application form to ilr@ideasspread.org
Reviewers for Volume 7, Number 1
Anastasia Parianou, Ionian University, Greece
Bahman Solati, University of California, United States
Bassil Mashaqba, The Hashemite University, Jordan
Cândido Samuel Fonseca de Oliveira, Federal Center for Technological Education of Minas Gerais, Brazil
Cheng-hua Hsiao, National Ilan University, Taiwan, Republic of China
Elena Ogneva, Belgorod National Research University, Russia
Farzaneh Shakki, Islamic Azad University, Iran
Gareth Morgan, Oxford University, England
Hamad H. Alsowat, Taif University, Saudi Arabia
Hassan Banaru'ee, Chabahar Maritime University, Iran
Hassan Moradi, Ministry of Education, Iran
Irina Kuprieva, Russian University of Cooperation, Russia
Laura V. Fielden Burns, University of Extremadura, English Philology Dept, Spain
Mahmoud Mobaraki, University of Jahrom, Iran
Mateus Cruz Maciel de Carvalho, James Cook University – Cairns, Australia
Mohammad Hussein Hamdan, Al-Imam Mohammad Ibn Saud University, Saudi Arabia
Mostafa Morady Moghaddam, Shahrood University of Technology, Iran
Natalia Iuzefovich, Pacific National University, Russia
Shadi S. Neimneh, The Hashemite University, Jordan
Shinji Okumura, Mukogaw Women’s University, Japan
Vera Nikolayevna Golodnaya, Nevinnomyssk Institute, Russian Federation
Viktoriya N. Karpukhina, Altai State University, Russia
Yasir Bdaiwi, Universiti Putra Malaysia, Iraq
Yousef Awad, The University of Jordan, Jordan
Ethnolinguistics as a Tool for Studying the Cultural Heritage of the World’s Peoples
Authors: Polyezhayev Yuriy , Maksymova Anna , Tytar Olena , Kulichenko Alla  , Rukolyanska Nataliya
Published: November 2024

The article shows that the links between linguistic and cultural phenomena, the collaboration of ethnocultural and ethnopsychological aspects in the functioning of language can be clarified by the examples of idioms in different languages. The aim is to specify a theoretical justification of ethnolinguistic manifestations in language in different countries. The methodology used for this study was a literature review, which was focused on a systematic approach to evaluate current works and studies in the arena of ethnolinguistics. The analytical-synthetic and descriptive methods, methods of comparison and analogy, and the functional approach were used to analyse and determine the relationship between language and culture on the basis of idioms from Ukrainian, English, Chinese, Turkish and German. Ethnolinguistics studies culture through the prism of historical events, national norms, customs, rituals, traditions, folk beliefs, ethical and aesthetic values, through thematic groups of borrowed vocabulary, phraseology, and paremics. The interaction of language and culture is manifested in the mastery of various texts, in language contacts, in the development of cultural attitudes, and in interpersonal communication. The essential characteristics of national culture can be studied with the aid of proverbs or idioms from various languages that reflect their respective cultures, common or different histories, ways of thinking, religious beliefs, traditions, customs, rituals, values, lifestyles, etc., according to linguistic studies of phraseological units based on the examples of the UK, USA, China, Germany, Turkey, and Ukraine. The conclusion of this study demonstrate the possibility of comparing cultures and analysing various processes that took place in several societies, and will allow scholars to conduct further research and adequately assess cultural phenomena through language.
Exploring Heterogeneity of International Students’ Racial and Native/Non-Native Language Backgrounds in Learning Engagement, Cultural Adjustment, Social Connections from QuantCrit Perspective
Authors: Dong Jianwei , Wang Chih-Hsuan , Shannon David
Published: November 2024

The academic engagement of international students is intricately linked to their diverse social and cultural adjustments in the host culture. However, these aspects have often been investigated from a homogeneous point of view. This study explores the interpersonal characteristics of students from different racial groups and native/ non-native language backgrounds in learning engagement, cultural adjustment, social media use, and social capital. Data were collected using the Qualtrics Survey from 209 international students between November 2021 and May 2022. The results of the MANOVA indicate significant disparities based on their race and native/ non-native language backgrounds within the examined constructs. The findings enrich the body of research through the QuantCrit lens, underscoring that international students are not monolithic. Generalizing their experiences by aggregating various identity group data may fail to capture their complexities. The results revealed that Black students exhibited elevated levels of bridging social capital and learning engagement, potentially linked to increased social media usage. Hispanic students demonstrated lower levels of engagement and socialization. White international students displayed superior cultural adjustment and bonding capital. Conversely, Asian students reported lower levels of learning engagement, cultural adjustment, social media use, and social capital compared to their White, Black, and Hispanic peers. Native language international students outperformed non-native speakers in all assessed areas. The potential reasons for these group differences and administrative support that assists in coping with language, socialization and acculturation challenges are discussed.
Effect of applying POC of Musa paradisiaca peel on the growth and production of tomato plants (Solanum lycopersicum)
Authors: Winda Trisca Dewi  , Astija Astija  , Lestari M.P Alibasyah  , Musdalifah Nurdin  , Isnainar Isnainar  , Hayyatun Mawaddah
Published: November 2024

The peel of the kepok banana (Musa paradisiaca) is frequently perceived as pointless garbage by individuals after they have consumed the fruit. Nevertheless, the conversion of kepok banana husks into liquid organic fertilizer (POC) provides a number of benefits. The objective of this investigation is to determine the optimal concentration of POC for tomato cultivation as well as the impact of POC from kepok banana peels on the growth and yield of tomato plants Tomato Plants . The study implements a complete random design (RAL) with four interventions and five replicates: P0 = 0% (no fertilizer), P1 = 15%, P2 = 30%, and P3 = 45%. Using the ANOVA test, SPSS-25 software facilitated the analysis of the collected data. The results suggested that the growth of tomato plants at 12, 18, and 24 days after sowing (HST) was substantially influenced by the use of POC derived from kepok bananas, particularly in terms of plant height and leaf area. However, the quantity, weight, and size of the produce did not significantly change at 42, 46, and 50 HST. The recommended dosage for tomato plants is 15%.
Determination of antimicrobial activities and DNA protection properties of Scytosiphon lomentaria extracts
Authors: Neslihan GULEC  , Bahar GOK  , Pinar INAN  , Huseyin ERDUGAN
Published: November 2024

Scytosiphon lomentaria is a brown algae that has many promising biological activities in medicine as well as being consumed as food in many countries. This study aims to investigate the antimicrobial, antimutagenic and DNA damage protective activity of S. lomentaria by obtaining hexane, methanol and water extracts. To evaluate the antimicrobial effect of the extracts, minimum inhibitory concentration (MIC) tests were performed on both yeasts and bacteria. The antimutagenic activities of the extracts were investigated by the Ames test, and their protective effects against oxidative DNA damage were investigated by agarose gel electrophoresis using pBR322 plasmid DNA. Antimicrobial results showed that hexane methanol and aqueous extract were more effective on Candia albicans (5, 2.5 and 2.5 mg/mL, respectively) compared to all strains used. All concentrations of the methanol extract exhibited strong antimutagenicity (more than 40% inhibition) on both TA98 and TA100 mutant strains. It was determined that the extracts protected DNA against oxidative DNA damage. The results show that S. lomentaria extracts have antimicrobial activity and DNA protection properties, making them have the potential to be evaluated as new natural resources that can be used in antimicrobial and anticancer formulations
Smart attendance monitoring system using machine learning: A Review
Authors: Ingole Preeti  , Wayal Sayali  , Nanaware Payal  , B. H. Patil
Published: November 2024

This paper presents the development of a Smart Attendance Monitoring System using machine learning and face recognition technology to automate the process of tracking student attendance. The system uses cameras to capture student entry and exit times and logs this information in a dedicated application. By leveraging face recognition, the system identifies students and monitors how long they remain in the classroom. If a student stays for at least 30 minutes, their attendance is automatically marked as present. This approach eliminates manual attendance-taking, improves accuracy, and prevents proxy attendance, providing an efficient solution for educational institutions.
Reinforced concrete bridges deterioration processes: A review
Authors: Viktoria Stoilova
Published: November 2024

During their service life, reinforced concrete bridges are repeatedly subjected to an aggressive environment, which adversely affects the structural members. In order to prevent any serious damage from occurring, it is important to understand the factors and processes that have a negative effect on reinforced concrete bridges and might worsen the bridge's performance. The purpose of this paper is to review and identify the most common causes of reinforced concrete bridge deterioration. Initially, an in-depth review of a large amount of literature is conducted to identify the most relevant forms of degradation processes in reinforced concrete bridges. Then a detailed description of each process is provided in order to understand how it affects the bridge structural members. Finally, an analysis of the possible consequences regarding the bridge's normal function, serviceability, and safety is conducted. The findings in this paper show that there are a lot of negative processes occurring in reinforced concrete bridges that may cause damage to the structure. Moreover, different processes may have the same undesirable effect on the bridge and thus increase the severity of the damage. The comprehensive study and understanding of reinforced concrete bridge deterioration processes play a key role in preventing structural failures and ensuring the bridge's reliability during its service life.
Crystal growth and characterization of Cd doped copper tartrate crystals in silica gel
Authors: Lakshmichhaya Ramkrishna Patil  , Arun Madhukar Patil  , Sharda Jayantrao Shitole
Published: November 2024

Cd doped Copper tartrate crystals were grown by the ‘Single diffusion’ method in silica gel. In ‘gel growth technique’ the parameters of crystal growth such as pH and aging were optimized in this work. Concentration of cadmium chloride as outer reactant was also optimized. Using ’Powder X-Ray Diffraction ‘, the determined Orthorhombic crystal structure has volume 621.022080A3. Many peaks of maximum intensity match to that of copper tartrate crystal and XPS counts has shown presence of 0.02 % atomic weight of Cd doped into copper tartrate crystals. The Fourier transform infrared spectrum in the range 400–4,000 cm-1-was recorded to assign the vibrational bands to corresponding functional groups and bonds. It has confirmed the carboxyl as functional group and the other bonds between atoms. .X ray Photoelectron Spectroscopy has concluded paramagnetic nature and the presence of Cu2+ ion and also the presence of carboxyl group by its binding energy peak.
Real-Time AI Analytics with Apache Flink: Powering Immediate Insights with Stream Processing
Authors: Surya Gangadhar Patchipala
Published: November 2024

Real-time AI analytics is the latest favorite of Apache Flink, and businesses love what it offers, as the framework has everything to help analyze data as it streams in. With the widespread need for swift, data-driven decision-making, Flink's speed of low latency processing, event timing, and ability to leverage AI models reactively so you have instant insights make it a solid choice. In this article, we will understand Flink's architecture and how it makes stream processing resilient to scalability and failure and builds complex applications like fraud detection and personalization recommendations for e-commerce. The article also emphasizes Flink's tight integration with other technologies, such as Kafka, Kubernetes, and well-known Machine Learning frameworks like TensorFlow and PyTorch, thus showing Flink's versatility for disparate business demands. Yet, as the viability of AI and machine learning continues to develop, so will the importance of Apache Flink within real-time analytics, enabling organizations to apply predictive analytics to continuous data flows, enable operational efficiency, and maintain a competitive advantage. With the continued progression of AI, the future of real-time analytics using Apache Flink looks promising as it helps us achieve better precision and value of instant data insights, making it a pivotal piece in the modern analytics landscape.
The lived experience of menopause and journeying to the other side.
Authors: Kathleen King  , Kerem Kemal Soylemez  , Joanne Lusher
Published: November 2024

This qualitative research was conducted through the lens of a reflective thematic analysis to explore the experiences of women during menopause. Historically menopause has been viewed through a medical lens, and a process women generally pass through with age. The lifespan of women living later in life after menopause is increasing significantly; and women’s healthcare is receiving more attention, globally. The menopause experience in this research draws upon the narratives from interviews with five women. Key findings from the analysis were themes highlighting the profound impact menopause has on biological, psychological, and social well-being. Three themes emerged from a reflective thematic analysis of the collected data: World turning upside down; Passing through menopause; Who am I now? Data resulting found the menopause experience is situated within a complex intersection of biology and psychosocial phenomena. Prolonged ageing has opened a gap in research informing how to improve the quality of women’s healthcare and well-being during this significant time in life. This study highlights that further research is needed to explore menopause as phenomena intersecting the disciplines of biology, psychology, and social constructs.
Optimizing food transportation processes for grocery stores across the US
Authors: Oluwakemi Betty Arowosegbe  , Omotayo Abayomi Adegboye  , Catherine Ballali
Published: November 2024

In the rapidly evolving landscape of food logistics, optimizing transportation processes for grocery stores across the United States has become paramount to enhancing operational efficiency and ensuring the delivery of high-quality, perishable goods. This article examines the multifaceted challenges inherent in food transportation, including logistical complexities, environmental concerns, and rising operational costs. It highlights the importance of data-driven strategies, such as route optimization and machine learning algorithms, to improve delivery times and reduce waste. Additionally, the integration of advanced technologies, such as Internet of Things (IoT) sensors for temperature monitoring and automation in warehouse management, is explored to enhance the cold chain and ensure food safety. Moreover, the article emphasizes the critical role of strategic partnerships with third-party logistics providers and suppliers in streamlining operations and enhancing overall performance. Through in-depth case studies of successful grocery chains, it illustrates effective practices that have led to significant improvements in food transportation processes. The regulatory landscape surrounding food transportation is also analysed, underscoring compliance with safety standards and sustainability initiatives. Finally, the article looks ahead to future trends, including the potential impact of autonomous vehicles, blockchain technology, and sustainable practices on the food supply chain. By providing a comprehensive overview of best practices and innovative solutions, this article aims to equip grocery store operators and stakeholders with actionable insights to optimize their food transportation processes, ultimately leading to improved customer satisfaction and reduced environmental impact.
Spatio-temporal analysis of currents in the Abidjan estuarian bays
Authors: N’guessan Eric YAO  , Josias Boanerges NONGBE  , Kossonou Jean-Marie PRIA
Published: November 2024

The analysis of current data collected during spring tidal periods in the Ebrié Lagoon estuary has allowed for an assessment of the spatiotemporal behavior of current speeds and directions. Results indicate that current speeds throughout the lagoon are generally low (< 1 m/s). Current speed typically decreases with depth. The average velocity profile over the water column exhibits a sawtooth pattern. Indeed, at approximately 2 meters depth in some areas and 5 meters in others, a significant decrease in average velocity is observed, followed by an increase before decreasing again regularly to the bottom. This variation is attributed to salinity fluctuations in the water column. The current regime is influenced by the shape of the area. At the entrance of Cocody Bay, currents are alternating. At the entrance of Bietry Bay and Banco Bay, they exhibit a rotary character with an alternating tendency. In Bietry Bay and Cocody Bay, the water column moves synchronously, whereas at the entrance of Banco Bay, there is vertical shear in the current.
Integrating traditional knowledge with modern agricultural practices: A sociocultural framework for sustainable development
Authors: Adebimpe Oluwabukade Adefila  , Oluwatosin Omotola Ajayi  , Adekunle Stephen Toromade  , Ngodoo Joy Sam-Bulya
Published: November 2024

This review explores a sociocultural framework for integrating traditional knowledge with modern agricultural practices to foster sustainable development. Traditional agricultural practices, rooted in cultural values and local knowledge, hold significant potential for enhancing environmental sustainability and community resilience. However, these practices are often undervalued or overlooked in modern agricultural advancements, particularly within communities facing economic or environmental pressures to adopt high-efficiency techniques. By examining traditional and modern agricultural practices within a sociocultural framework, this review investigates how community identity, social norms, and values influence the acceptance and adaptation of sustainable agricultural methods. This framework emphasizes the importance of understanding how traditional agricultural knowledge, such as organic pest control, crop diversity, and soil management, can complement modern practices like precision agriculture and biotechnology to achieve sustainable outcomes. Additionally, it addresses the role of community engagement in bridging knowledge systems, advocating for participatory approaches that involve farmers, indigenous leaders, and stakeholders in collaborative decision-making. These includes case analyses from rural U.S. communities where traditional practices have been successfully integrated with modern technology, illustrating both the challenges and benefits of this approach. The findings highlight that integrating traditional and modern methods not only conserves biodiversity and enhances adaptability to climate change but also strengthens community identity and empowers local populations. This review concludes by recommending future research on the social acceptance of agricultural technology in traditional communities, the role of cultural beliefs in sustainable environmental practices, and the impact of indigenous knowledge on environmental stewardship. The proposed framework thus serves as a guide for policymakers and agricultural practitioners to promote sustainable agricultural practices that respect cultural heritage while advancing global food security.
Analisis Nilai Patriarki dalam Putusan Sidang Cerai Gugat di Pengadilan Agama Sawahlunto
Authors: Reftantia Ghina , Asni Sari Kurnia , Aries Kurniawan Deni , Dwi Hapsari Yuanita
Published: November 2024

Cerai gugat merupakan putusnya hubungan perkawinan karena adanya gugatan yang diajukan oleh pihak istri. Jumlah perkara cerai gugat jauh lebih banyak jika dibandingkan dengan jumlah perkara cerai talak. Tidak dapat dipungkiri baik secara sadar atau pun tidak sadar dan langsung mau pun tidak langsung bahwa nilai-nilai patriarki telah menyebabkan ketidakadilan dan ketidaksetaraan gender seperti adanya subordinasi, dominasi, pelecehan seksual, perceraian, dll. Tulisan ini bertujuan untuk membahas dan menganalisis nilai-nilai patriarki dalam hasil putusan sidang perkara cerai gugat Pengadilan Agama Sawahlunto tahun 2022-2023. Teori yang digunakan untuk membahas penelitian ini ialah teori strukturasi Anthonny Giddens, sementara metode yang digunakan dalam penelitian ini adalah gabungan metode kuantitatif dan kualitatif, yang mana metode kuantitatif digunakan untuk memperoleh data angka berupa hasil persentase dari keseluruhan putusan sidang cerai gugat. Sementara metode kualitatif digunakan untuk menjelaskan dan menganalisis nilai-nilai patriarki yang menyebabkan terjadinya cerai gugat tersebut. Ada pun data yang dianalisis dalam penelitian ini ialah seluruh data hasil putusan sidang perkara cerai gugat di Pengadilan Agama Sawahlunto Tahun 2022-2023. Hasil dari penelitian ini adalah nilai-nilai patriarki telah mempengaruhi kehidupan rumahtangga pasangan suami istri dan menyebabkan beberapa masalah dalam rumahtangga seperti adanya KDRT, poligami, perselingkuhan, campur tangan keluarga, dll.
Efektivitas Kinerja Pegawai pada Pelayanan Administrasi Kependudukan di Kecamatan Ilir Timur Satu Palembang
Authors: Aisyah Ainun , Uswatun Hasanah Ade , Aurelia Wina
Published: November 2024

Pelayanan publik yang diselenggarakan oleh pemerintah mencakup pelayanan masyarakat dan pelayanan administrasi, keduanya beriringan dalam mewujudkan kinerja pelayanan yang baik (good performance) dalam pemerintahan. Efektivitas kinerja pegawai dalam melaksanakan pelayanan publik dengan kualitas yang baik diharapkan mampu untuk menjamin percepatan, kelancaran, pelayanan terhadap masyarakat baik dan tepat. Sebagai sebuah organisasi administratif yang hidup dan melayani masyarakat yang penuh dinamika, tentunya akan banyak mengalami masalah. Tujuan dari penelitian ini yaitu menguji dan menganalisis serta untuk mengetahui apa saja faktor pendukung dan penghambat efektivitas kinerja pegawai. Dalam penelitian ini, penulis menggunakan pendekatan kualitatif deskriptif. Fokus penelitian ini yaitu untuk menganalisa efektivitas kinerja pegawai pada pelayanan administrasi di Kecamatan Ilir Satu Palembang. Pada penelitian ini, penulis melakukan pengumpulan data dari lapangan dengan observasi, wawancara dan dokumentasi untuk mendapatkan data dan informasi yang valid. Hasil dari penelitian ini dapat disimpulkan pada layanan yang diberikan oleh pegawai di Kecamatan Ilir Timur Satu masih belum optimal, dikarenakan kurangnya sarana dan prasarana yang tidak memadai sehingga sulit menyelesaikan pekerjaan yang baik dan cepat. Saran dari penulis agar pemerintah memberikan kualitas terhadap pelayanan publik dengan menyediakan sarana dan prasarana untuk mendukung pelayanan pada masyarakat berjalan dengan lancar.
Peran Pemerintah Daerah dalam Percepatan Penurunan Stunting di Kecamatan Lais
Authors: Austin Trecy , Shamudra Febby , Rahman Hakim Arif
Published: November 2024

Stunting disebabkan karena permasalahan berkaitan dengan meningkatnya risiko terjadinya kondisi yang kurang baik dan perkembangan otak yang lemah. Tujuan penelitian untuk menganalisis peran pemerintah daerah dalam penanganan penurunan stunting di Kecamatan Lais Kabupaten Musi Banyuasin. Menggunakan jenis penelitian kualitatif menggunakan wawancara mendalam, dokumentasi dan berupaya observasi langsung. Teori yang digunakan adalah teori peran Mintzberg yaitu, Interpersonal Role/peran hubungan antarpribadi, Informational Role/peran yang berhubungan dengan informasi, dan Decisional Role/peranan membuat keputusan. Hasil penelitian menunjukkan bahwa Peran Pemerintah Daerah dalam Percepatan Penurunan Stunting di Kecamatan Lais Kabupaten Musi Banyuasin sudah cukup baik. Berdasarkan peran masing-masing setiap instansi yang ada di wilayah pemerintah Kecamatan Lais dalam percepatan penurunan stunting dan dibantu oleh Dinas kesehatan Musi Banyuasin wilayah pemerintah Kabupaten Musi Banyuasin memiliki tugas dan fungsi masing-masing dalam penyelenggaraan program nasional percepatan penurunan stunting yang menjadi lokasi penelitian sudah baik, namun masih ada orang tua balita stunting tidak mengikuti program perbaikan gizi anak. Hal ini, diharapkan dengan adanya peran pemerintah daerah dalam percepatan penurunan stunting yang difokuskan di wilayah Kecamatan Lais orang tua balita mendapatkan bantuan dan penjelasan dari berbagai elemen yang ada di wilayah pemangku kepentingan, dan orang tua balita tidak lagi takut dengan angka kematian akibat stunting yang mereka tidak sadari.
Hiperrealitas Pengunjung Objek Wisata Ala Luar Negeri di Instagram
Authors: Muslimah Hayana
Published: November 2024

Penelitian ini bertujuan untuk mendeskripsikan proses terjadinya hiperrealitas yang dilakukan oleh pengunjung obyek wisata ala luar negeri di Instagram. Penelitian ini menggunakan teori hyperrealitas, simulakra dan simulasi oleh Jean Baudrillard. Penelitian ini menggunakan pendekatan kualitatif dengan tipe deskriptif. Pengumpulan data dilakukan dengan teknik wawancara mendalam dan observasi. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Hasil penelitian ini menunjukkan bahwa faktor penarik hiperrealitas yang dilakukan oleh pengunjung pada obyek wisata ala luar negeri di Instagram, diantaranya adalah tren postingan foto instagramable, pengaruh lingkungan pertemanan, maraknya pembangunan obyek wisata swafoto, dan hobi travelling. Sedangkan bentuk-bentuk hiperrealitas yang dilakukan oleh pengujung diantaranya, 1) mengkonsumsi tanda; atraksi berswafoto selama wisata, mengunggah foto di Instagram, 2) peningkatan pengetahuan estetika dalam menggunakan Instagram; menggunakan editing foto, membuat caption yang menarik, 3) budaya konsumen; kecanduan mengunjungi spot foto Instagramable dan berwisata sebagai bagian dari gaya hidup.
Implementasi dan Tantangan Anggaran Responsif Gender: Studi Literature
Authors: Hadi Harrey
Published: November 2024

Anggaran Responsif Gender (ARG) merupakan pendekatan penting dalam pengelolaan anggaran publik yang bertujuan untuk mengintegrasikan dimensi gender dalam proses perencanaan, alokasi, dan penggunaan anggaran. Penulis melakukan Studi Literatur untuk menginvestigasi pendekatan ARG dalam konteks implementasi dan tantangannya di dalam dan luar negeri. Kami menganalisis sepuluh jurnal terdiri dari lima jurnal nasional dan lima jurnal internasional yang membahas implementasi ARG dari tahun 2016 hingga 2023. Temuan kami menunjukkan bahwa ARG memiliki potensi besar untuk meningkatkan efektivitas dan efisiensi pelayanan publik, serta menjadi wujud dari good governance dalam pengelolaan anggaran daerah. Namun, implementasi ARG dihadapkan pada sejumlah tantangan, termasuk rendahnya partisipasi perempuan dalam pengambilan keputusan terkait anggaran, diskriminasi terhadap perempuan, serta kurangnya pemahaman dan kesadaran tentang gender di kalangan penyusun anggaran dan masyarakat umum. Selain itu, kami menemukan bahwa kurangnya alokasi anggaran yang memadai, ketidakpastian mengenai keefektifan dan keefisienan dalam pengelolaan anggaran daerah, dan resistensi masyarakat terhadap konsep gender juga menjadi hambatan dalam implementasi ARG. Temuan ini menyoroti perlunya upaya yang berkelanjutan dan terkoordinasi untuk mengatasi tantangan-tantangan ini agar ARG dapat mencapai tujuan-tujuan yang diinginkan dalam menciptakan pelayanan publik yang lebih adil, inklusif, dan responsif terhadap gender.
Peran Komunikasi Digital dalam Pembentukan Opini Publik: Studi Kasus Media Sosial
Authors: Suhendra Suhendra , Selly Pratiwi Feny
Published: November 2024

Media sosial telah menjadi alat penting dalam komunikasi digital yang mempengaruhi opini publik. Melalui platform seperti Facebook, Twitter, dan Instagram, informasi dapat disebarkan dengan cepat dan luas, yang secara signifikan memengaruhi pandangan dan sikap masyarakat. Penelitian ini bertujuan untuk mengeksplorasi bagaimana komunikasi digital di media sosial berperan dalam pembentukan opini publik. Dengan menggunakan studi kasus pada beberapa platform media sosial, penelitian ini mencoba memahami dinamika dan mekanisme yang terlibat. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Data dikumpulkan melalui observasi, wawancara mendalam, dan analisis konten dari postingan serta interaksi pengguna di media sosial. Informasi utama diperoleh dari pengguna media sosial yang aktif berpartisipasi dalam diskusi publik. Hasil menunjukkan bahwa komunikasi digital di media sosial memainkan peran penting dalam membentuk opini publik. Penyebaran informasi yang cepat, kemampuan untuk berbagi dan mengomentari konten, serta pengaruh dari tokoh-tokoh terkenal di media sosial, semua berkontribusi besar dalam membentuk persepsi dan opini masyarakat. Penelitian ini juga menemukan bahwa media sosial adalah platform yang efektif untuk kampanye sosial dan politik, walaupun rentan terhadap penyebaran informasi yang salah atau hoaks.
Implementasi Sistem Pelayanan dan Pengaduan di Satpol PP Kabupaten Oku Timur
Authors: Putri Hapsari Rindy
Published: November 2024

Pemerintah berkewajiban memberi public service yang berkualitas bagi khalayak. Untuk mewujudkan hal itu, Satpol PP Kabupaten OKU Timur menciptakan inovasi berupa Sistem Pelayanan dan Pengaduan Ketertiban Umum dan Ketentraman Masyarakat (SIP PAKAM) berbasis online. Harapannya dengan SIP PAKAM masyarakat Kabupaten OKU Timur ebih mudah mengakses pelayanan dan melakukan pengaduan. Sehingga Satgas SIP PAKAM dapat segera mengatasi pengaduan masyarakat dengan lebih cepat, tepat dan optimal.  Penelitian ini dilakukan untuk menganalisis bagaimana implementasi SIP PAKAM di Satpol PP Kabupaten OKU Timur. Kajian ini memanfaatkan metode kualitatif deskriptif, dan proses penghimpunan data memakai teknik dokumentasi, pengamatan, dan interview. Hasil penelitian menunjukan bahwa implementasi SIP PAKAM telah berjalan dengan baik berdasarkan empat variebel implementasi oleh Edward III seperti komunikasi antar pelakasana SIP PAKAM yang sudah terjalin dengan lancar, adanya sumber daya manusia yang sudah kompeten sesuai bidangnya, sikap implementator terutama Satgas Satpol PP yang melaksanakan tugas dan fungsinya dengan disiplin dan sesuasi SOP serta masyarakat yang sudah mulai banyak mengakses layanan SIP PAKAM. Namun terdapat beberapa hal yang perlu ditingkatkan seperti penyedian sarana prasarana yang lebih lengkap dan sosialisasi mengenai SIP PAKAM yang lebih luas hingga level desa di Kabupaten Kabupaten OKU Timur agar lebih banyak Masyarakat mengetahui dan dapat mengaskes layanan SIP PAKAM.
Tinjauan Kritis terhadap Penggunaan Aplikasi Sirekap dalam Proses Pemilihan Umum Presiden Tahun 2024
Authors: Azzahri Rizka
Published: November 2024

Panjangnya proses pengumpulan hasil pemungutan suara pemilihan umum membuat Komisi Pemilihan Umum (KPU) harus menggunakan aplikasi secara online untuk mempercepat pengumpulan perolehan hasil suara pemilihan umum. Selain itu banyaknya kertas C hasil yang dipergunakan untuk menyalin hasil perhitungan suara membuat KPU mempertimbangkan penggunaan aplikasi. Sistem Informasi Rekapitulasi (SIREKAP) dibuat oleh KPU untuk menengahi permasalahan tersebut. Ketidaksiapan pemerintah dalam menyediakan e-governance khususnya sirekap, aplikasi yang telah berjalan sejak tahun 2020 namun masih banyak kekurangannya, yang seharusnya membuat kinerja pemilu semakin efektif dan efisien malah terkesan membuat kacau. Kesalahan fitur aplikasi yang tidak lengkap, jaringan internet tidak stabil disetiap daerah dan masih banyak permasalahan lain yang membuat aplikasi SIREKAP banyak diprotes oleh KPPS sebagai pengguna aplikasi SIREKAP. Penelitian ini menggunakan pendekatan  kualitatif deskriptif dengan teknik pengumpulan data melalui studi literatur dan studi dokumen. Studi literatur digunakan untuk mempelajari penelitian-penelitian sebelumnya yang berkaitan dengan penggunaan aplikasi SIREKAP, sementara studi dokumen digunakan untuk mengumpulkan dokumen-dokumen yang berkaitan dengan penelitian ini. Temuan dalam penelitian ini akan penulis bahas dengan teori efektivitas yang membahas mengenai tingkat keefektivan dan ketepatgunaan penggunaan aplikasi SIREKAP dalam proses pemilu presiden 2024. Timbulnya ketidakpuasan masyarakat terhadap hasil pemilu yang dihitung melalui aplikasi SIREKAP dan kurangnya kesiapan aplikasi serta pendukung penggunaan aplikasi membuat aplikasi SIREKAP menjadi perhatian penulis untuk dibahas dalam penelitian ini.
Handling Noise Data with PCA Method and Optimization Using Hybrid Fuzzy C-Means and Genetic Algorithm
Authors: Widianti Risa , Surono Sugiyarto , Ibraheem Kais Ismail
Published: November 2024

The significance of machine learning (ML) and data mining techniques particularly clustering is examined in this research, in managing large data sets for customer segmentation in the retail sector. The research emphasizes the challenges posed by data noise and proposes a solution using Principal Component Analysis (PCA) to improve accuracy. This study introduces a hybrid approach that combines Fuzzy C-Means (FCM) with genetic algorithms for optimization in customer segmentation, and suggests further research on the optimal number of clusters and data noise elimination. By addressing data noise, the proposed PCA-based method achieved a higher accuracy rate of 98% compared to 93% without PCA. This finding underscores the effectiveness of PCA in noise reduction, improving clustering accuracy. This research contributes to the advancement of customer-focused business strategies through better data analysis and interpretation. The proposed approach has potential applications in areas including data analysis, pattern recognition, and image processing, highlighting its relevance in the contemporary business environment.
Characteristics of Machine Learning-based Univariate Time Series Imputation Method
Authors: Ramadhani Dini , Soleh Agus Mohamad , Erfiani Erfiani
Published: November 2024

Handling missing values in univariate time series analysis poses a challenge, potentially leading to inaccurate conclusions, especially with frequently occurring consecutive missing values. Machine Learning-based Univariate Time Series Imputation (MLBUI) methods, utilizing Random Forest Regression (RFR) and Support Vector Regression (SVR), aim to address this challenge. Considering factors such as time series patterns, missing data patterns, and volume, this study explores the performance of MLBUI in simulated Autoregressive Integrated Moving Average (ARIMA) datasets. Various missing data scenarios (6%, 10%, and 14%) and model scenarios (Autoregressive (AR) models: AR(1) and AR(2); Moving Average (MA) models: MA(1) and MA(2); Autoregressive Moving Average (ARMA) models: ARMA(1,1) and ARMA(2,2); and Autoregressive Integrated Moving Average (ARIMA) models: ARIMA(1,1,1) and ARIMA(1,2,1)) with different standard deviations (0.5, 1, and 2) were examined. Five comparative methods were also used in this research, including Kalman StructTS, Kalman Auto-ARIMA, Spline Interpolation, Stine Interpolation, and Moving Average. The research findings indicate that MLBUI performs exceptionally well in imputing successive missing values. The results of this study indicate that the performance of MLBUI in imputing consecutive missing values, based on MAPE, yielded values of less than 10% across all scenarios used.
Rendicontazione di sostenibilità nell’industria agroalimentare: un’analisi della letteratura
Authors: Agostini Marisa , Marcon Carlo
Published: November 2024

This study implements a systematic literature review focusing on sustainability reporting in the agricultural and food sector. Based on Scopus and Web of Science databases, the chapter investigates archival studies in the fields of economics, management and accounting that focus on three main areas: sustainability performance, structure and content of sustainability reporting, determinants and consequences of sustainability reporting. Although academic literature on this topic is still limited, the implementation of the Corporate Sustainability Reporting Directive (CSRD) offers an opportunity to gather further empirical evidence.
Implementation of Augmented Reality at Interactive Food Menu Using the Speed Up Robust Features (SURF) Algorithm
Authors: Ihsan Ahmad , Fitria Liza , Mursyidah Mursyidah , Mahyar Herri , Suryati Suryati , Misriana Misriana
Published: November 2024

— Promotion is an attempt to notify or offer a product or service with the aim of attracting potential customers to buy or consume it, with the promotion, producers or distributors expect an increase in sales figures. In this study researchers used Augmented Reality technology for interactive media promotion of food menus by adding 3D multimedia elements. The method used in this study uses the Natural Feature Tracking method with the Speed Up Robust Features (SURF) algorithm, which detects local features in marker images that are resistant to rotation, scale and blurring. The results showed that the keypoint functions to render 3D objects. Search for keypoints is interrupted due to distance, light intensity and slope of the marker. Test results to see the distance between the camera and the marker as far as 60 cm. Medium light intensity that can detect markers, the average time of object speed can be displayed is 3.026 seconds and the marker slope limit is 30 °. This is because the keypoint readings at the position and time limit from keypoint readings clearly, keypoint readings clearly produce 3D objects can be displayed. This research uses the Android platform as the foundation of this Augmented Reality technology application. So that by displaying 3D food menu items in restaurants it is expected to be a means of promotion to attract consumers.
Penerapan Metode Weighted Product Untuk Rekomendasi Pemilihan Jajanan Kuliner
Authors: Amelia Sarah , Azhar Azhar , Rizka Muhammad
Published: November 2024

Abstrak — Indonesia, dengan keragaman budaya dan geografisnya, menawarkan sejumlah besar kuliner yang begitu beragam, memukau, dan lezat. Dari sabang hingga merauke, dari kuliner nusantara hingga warisan budaya etnis. Beragamnya jenis kuliner yang ada membuat konsumen bingung untuk menentukan kuliner mana yang sesuai dengan keinginan mereka. Kurangnya informasi terkait kuliner yang ditawarkan menjadi suatu masalah dalam hal pemasaran. Secara umum pemilihan kuliner didasari dari beberapa kriteria yaitu harga, jenis makanan, lokasi atau kebersihan, dan pelayanan. Semakin beragam menu kuliner yang ditawarkan maka semakin membingungkan konsumen dalam memilih menu yang sesuai. Dalam hal ini maka di usulkan sebuah sistem aplikasi yang dapat membantu konsumen dalam memberikan rekomendasi menu kuliner yang sesuai. Aplikasi tersebut dilengkapi dengan metode weigted product sebagai sistem pendukung keputusan untuk pemilihan kuliner. Tujuan dari penelitian ini untuk membantu konsumen dalam menentukan pilihan kuliner yang sesuai dengan kriteria yang diinginkan. Sistem pendukung keputusan pemilihan kuliner pada penelitian ini dibangun sesuai dengan kaidah-kaidah yang terdapat pada metode perancangan perangkat lunak. Aplikasi ini berisi 20 data (tenan) kuliner yang dapat direkomendasikan. Kata kunci — Kuliner, Weigted Product, Sistem Pendukung Keputusan Abstract — Indonesia, with its cultural and geographic diversity, offers a plethora of culinary delights that are diverse, fascinating and delicious. From Sabang to Merauke, from Indonesian culinary to ethnic cultural heritage. The variety of culinary types available makes consumers confused about which culinary delights suit their wishes. The lack of information regarding the culinary offerings is a problem in terms of marketing. In general, culinary selection is based on several criteria, namely price, type of food, location or cleanliness, and service. The more diverse the culinary menu offered, the more confusing it will be for consumers to choose the appropriate menu. In this case, an application system is proposed that can assist consumers in providing appropriate culinary menu recommendations. This application is equipped with a weighted product method as a decision support system for culinary selection. The aim of this research is to help consumers determine culinary choices that suit their desired criteria. The culinary selection decision support system in this research was built in accordance with the rules contained in the software design method. This application contains 20 culinary data (tenan) that can be recommended.
Method of generating applications in natural language based on the improved BERT model
Authors: Levykin Viktor , Didenko Denys , Aloshkin Oleksii
Published: November 2024

The object of the research is the process of forming applications for receiving services. During the creation of information systems and information technologies for the automated management of services in various subject areas, there is a constant need to develop models, methods and algorithms that could automate the process of forming applications for receiving services. The main directions of research in this field are related to the use of methods and models of machine learning and natural language processing. But such methods and models have disadvantages that significantly complicate the application of these methods and models in information systems and technologies that automate the process of forming applications for receiving services. Therefore, research aimed at the development of methods and models in which these disadvantages are eliminated due to a combination of known models and methods is relevant.
The BERT model was chosen as the basis for the development of a combined method of forming an application for receiving a service. To eliminate its shortcomings, it is proposed to use less expensive methods of machine learning. The developed combined method consists of five stages: analysis of a text query using the BERT model; calculation of weighting factors using linear regression; implementation of the trained classification model using machine learning methods; categorization of text descriptions using the Bayesian model; providing recommendations to system users.
The experimental verification of the developed combined method was carried out on the example of the task of forming and processing applications for obtaining a car rental service. For the development of information technology, the Python language and separate libraries were used, which allow the integration of the developed technology into the company's website. The obtained results allow us to assert the feasibility of using the developed combined method during the formation of applications in the form of small texts in the natural language of users.