bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Sistem Pakar Diagnosa Penyakit Feline Calicivirus Pada Kucing Menggunakan Metode K-Nearest Neighbor
Authors: Turnip Resdiana , Ginting Erika Fahmi , Murniayanti Sri
Published: November 2024

Feline Calicivirus pada kucing adalah spesies virus yang berada dalam famili Caliciviridae yang menyebabkan penyakit pada kucing. Virus ini merupakan salah satu dari dua virus penyebab infeksi saluran pernapasan pada kucing. Feline Calicivirus pada kucing ini bisa terjadi kesemua jenis kucing dan hal ini disebabkan karna kurangnya pengetahuan dalam mencegah dan merawat kucing peliharaan sehingga mengakibatkan terinfeksi dengan virus.Permasalahan tersebut dapat disarankan dengan keilmuan sistem yang dapat menyelesaikan suatu permasalahan tertentu dengan meniru kerja para pakar dengan menggunakan metode K-Nearest Neighbor. Dengan adanya suatu Sistem Pakar yang ditujukan untuk melakukan mengetahui probabilitas atau persentase dari penyakit yang dialami hewan kucing dan dapat mendiagnosa penyakit Feline Calicivirus secara akurat dan efisien. Hasil penelitian ini bermanfaat bagi perusahaan dalam mendiagnosa penyakit kolerea dan dapat mendiagnosa penyakit Feline Calicivirus secara akurat dan efisien dengan menggunakan sistem berbasis desktop.Â
Pemilihan Lokasi Cabang Baru Apotek Phalma Agung Dengan Menggunakan Metode Promethee II
Authors: Ningsih Yulina , Setiawan Dedi , Pranata Ardianto
Published: November 2024

Apotek merupakan salah satu sarana pelayanan kesehatan dalam membantu mewujudkan tercapainya derajat kesehatan yang cukup optimal bagi masyarakat. Apotek adalah tempat dilakukan pekerjaan kefarmasian, penyalur sediaan, dan perbekalan kesehatan lainnya pada masyarakat. Fungsi apotek adalah untuk menyediakan obatâ€obatan yang dibutuhkan oleh masyarakat untuk mencapai kesehatan yang optimal. Oleh karena itu persaingan yang ketat serta kepadatan penduduk menjadi alasan mengapa perlu dilakukan pemilihan lokasi cabang baru pada Apotek Phalma Agung, yang merupakan suatu hal yang sangat penting yang patut untuk dipertimbangkan. Dalam menentukan pemilihan lokasi cabang baru untuk membuka apotek terdapat kendala, salah satunya tempat yang dapat disewa tidak berada dalam lokasi strategis sehingga lokasi yang dipilih kurang sesuai serta tepat. Oleh karena itu diperlukan sebuah metode yang dapat mengatasi masalah tersebut sehingga lokasi yang dipilih tepat. Dalam penelitian ini memerlukan kriteria yaitu mengenai lokasi yang akan dipilih yang terlibat sebagai alternatif pemilihan lokasi cabang baru apotek Phalma Agung. Berdasarkan penjelasan diatas maka dikembangkan sebuah sistem pendukung keputusan menggunakanÂ  metodeÂ  preference ranking organization methods for enrichment of evalutions (PROMETHEE II) yang digunakan dalam pemilihan lokasi cabang baru apotek Phalma Agung.
Pengamanan Data Penjualan Biji Kopi Sembekandua Menggunakan Metode Advanced Encryption Standard
Authors: Ramadhana Muhammad Wisnu , Muhazir Abdullah , Prayudha Jaka
Published: November 2024

CV.Muda Kopi adalah sebuah perusahaan yang bergerak dalam pengelolahan tanaman kopi, biji kopi, dan ekspor impor kopi. Sehingga data dari setiap penjualan harus tercatat dengan baik dan data tidak boleh tersebar diluar dari perusahaan, maka data penjualan hanya bisa dibuka oleh Admin atau Pemimpin perusahaan. Permasalahan yang ada di CV.Muda Kopi yaitu arsip data belum memiliki sistem keamanan, sehingga memungkinkan adanya pihak yang tidak bertanggung jawab untuk memodifikasi dan melakukan pencurian terhadap data-data tersebut. Solusi untuk membantu CV.Muda Kopi dalam mengamankan data penjualan dapat dilakukan dengan membuat sistem keamanan kriptografi yang mempelajari teknik matematika mengenai keamanan dataÂ  seperti kerahasiaan, integritas, dan otentikasi. Dalam penyelesaian masalah terkait pengamanan data penjualan metode yang digunakan adalah algoritma advanced encryption standard yang merupakan standard kriptografi simetri dengan panjang kunci yang digunakan yaitu 128 bit dengan kemungkinan tahan terhadap serangan exhaustive key search.
Data Mining Dalam Menentukan Pola Penjualan Barang Menggunakan Algoritma Apriori
Authors: Saribu Tumbur Dolok , Wahyuni Meri Sri , Rezky Syarifah Fadillah
Published: November 2024

CV Ridho Star adalah perusahaan yang bergerak dalam menjual barang (ATK), cetak-mencetak guna memenuhi kebutuhan masyarakat khususnya mahasiswa yang membutuhkan dalam menunjang perkuliahan. Tidak hanya percetakan fotocopy , masih banyak perusahaan-perusahaan lain yang bergerak di bidang yang sama. Pada Perusahaan ini terdapat permasalahan dalam barang (ATK) yang selama ini pemilik menghitung hasil penjualannya hanya dengan mencatat saja. Kadang hasil penjualan barang di catat kadang lupa, sehingga pada saat menghitung hasil pendapatan tidak sesuai dengan jumlah barang yang di jual. Pemilik mengharapkan adanya teknologi yang mampu untuk membantu dalam menghitung hasil penjualan barang (ATK) setiap bulannya. Permasalahan tersebut dibutuhkan keilmuan data mining dengan menggunakan metode Apriori untuk menyelesaikan permasalahan dalam penurunan penjualan dibutuhkan sebuah metode yang dapat menghasilkan sebuah informasi atau strategi marketing dalam menganalisa pola penjualan untuk membantu meningkatkan penjualan. Hasil penelitian ini algoritma Apriori mampu melakukan analisa terkait pola sesuai dengan kedua kasus tersebut dan dapat membantu dalam melakukan Analisa penjualan ATK.Â
Penerapan Data Mining Untuk Menganalisa Pola Penjualan Bubuk Teh Dengan Menggunakan Metode Apriori
Authors: Toar Filza Amimah , Yetri Milfa , Syahputri Astri
Published: November 2024

Toko Teh Juma Superpeko merupakan salah satu usaha dagang yang menyediakan berbagai jenis produk bubuk teh, di antaranya bubuk teh hitam dan teh hijau. Pentingnya persediaan barang membuat perusahaan harus benar benar memperhatikan hubungan antara item persediaan, untuk itu perlu dilakukan perencanaan dan pengendalian persediaan barang. Untuk dapat melakukan hal tersebuh, perusahaan membutuhkan sumber informasi yang cukup banyak untuk dapat dianalisis lebih lanjut. Misalnya dengan memanfaatkan data transaksi penjualan yang tellah tersimpan dalam database, pihak perusahaan dapat mengetahui kebiasaan pelanggan atau perilaku pelanggan mengenai apa saja barang yang sering dibeli. Untuk menyelesaikan masalah tersebut dibutuhkan suatu sistem terkomputerisasi yang dapat menggali informasi baru dari tumpukan data-data lama, yaitu dengan menggunakan Data Mining. Salah satu teknik yang ada pada data mining adalah Apriori. Pada penelitian ini akan dibahas teknik asosiasi yang diterapkan untuk menemukan pola terjasi pada data-data transaksi terutama hal yang berkaitan dengan pola penjualan produk bubuk teh. Teknik asosiasi yang akan digunakan adalah algoritma apriori. Kesimpulan yang diperoleh yaitu dengan menggunakan data mining algoritma apriori dapat membantu perusahaan dalam menentukan pola penjualan produk bubuk teh. Sehingga aplikasi data mining yang dibangun dapat langsung digunakan oleh perusahaan dan dapat dirasakan manfaatnya.
Implementasi Metode Multi Attribute Utility Theory (MAUT) Untuk Menentukan Manajer Bidang Kearsipan
Authors: Riyani Tanty , Syahputra Yopi Hendro , Sitorus Pane Usti Fatimah Sari
Published: November 2024

Hasil identifikasi masalah yang telah dilakukan di PT. Rapy Ray Putratama terkait menentukan manajer bidang arsip adalah belum adanya proses pemilihan yang terstruktur dan sistematis sehingga rawan terjadi subjektifitas dalam pemilihan. Subjektifitas dalam pemilihan dapat mengakibatkan seorang manajer yang terpilih tidak sesuai dengan kompetensi yang diharapkan. Pemilihan yang terjadi seringkali masih berdasarkan sistem tunjuk atau voting antar pimpinan dan tidak berdasarkan kriteria yang ditetapkan, padahal bagian arsip merupakan bagian yang sangat berperan besar dalam proses bisnis dari perusahaan tersebut. Maka dari itu dibutuhkan sebuah Sistem Pendukung Keputusan yang dapat melakukan penilaian dalam pemilihan seorang manajer bidang arsip. Sistem ini nantinya akan menggunakan metode MAUT sebagai metode komputasi.Â Multi Attribute Utility TheoryÂ (MAUT) merupakan suatu metode dalam pengambilan keputusan. MAUT merupakan metode dimana mencari jumlah terbobot dari nilai-nilai yang sama pada setiap utilitas pada masing-masing atribut. Hasil yang diperoleh adalah terciptanya sebuah sistem pendukung keputusan yang akan memberikan output (keluaran) berupa urutan dari alternatif yang paling diprioritaskan untuk menjadi seorang manajer bidang arsip, mulai dari nilai yang tertinggi hingga paling rendah serta diharapkan dapat membantu pihak PT. Rapy Ray Putratama dalam menentukan manajer bidang arsip.
Sistem Pendukung Keputusan Menentukan Sales Terbaik Untuk Mendapatkan Reward Dengan Menggunakan Metode Weighted Product
Authors: Martupa Sihaloho Vanleus , Saniman  , Riansah Wahyu
Published: November 2024

Sales perusahaan sangat berpengaruh penting untuk menaikkan penjualan produk, karena sales merupakan ujung tombak perusahaan. Sales bertugas untuk melakukan aktivitas seperti merekomendasikan, mendistribusikan, serta mencari pesanan penjualan atas produk serta jasa, termasuk menyampaikan serta mengumpulkan data eksklusif dari para agen atau konsumen. Namun permasalahan utama yang terjadi di PT. Matahari Departement Store Tbk adalah proses menentukan sales terbaik untuk mendapatkan reward terkadang dilakukan tidak berdasarkan kriteria yang tepat dan lengkap atau hanya berdasarkan satu sudut pandang saja. Penilaian yang dilakukan secara satu sudut pandang saja dapat memicu adanya hasil yang tidak tepat serta memperbesar resiko subjektivitas dalam pemilihan. Maka dari itu dibutuhkan sebuah Sistem Pendukung Keputusan yang dapat melakukan penilaian dalam pemilihan seorang Sales  Terbaik. Sistem ini nantinya akan menggunakan metode WP sebagai metode komputasi. Weighted Product (WP) merupakan suatu metode dalam pengambilan keputusan. WP merupakan metode dimana mencari Nilai Bobot tertinggi dari nilai-nilai yang sama pada setiap nilai bobot pada masing-masing atribut. Hasil yang diperoleh adalah terciptanya sebuah sistem pendukung keputusan yang akan memberikan output (keluaran) berupa urutan dari alternatif yang paling diprioritaskan untuk menjadi seorang Sales Terbaik, mulai dari nilai yang tertinggi hingga paling rendah serta diharapkan dapat membantu pihak PT.Mathari Dapartement Store dalam menentukan Sales Terbaik.
Smart Assessment System Pemilihan Editor In Chief (Pimpinan Redaksi) Menggunakan Metode ARAS
Authors: Oktariandi Regi , Nugroho Nurcahyo Budi , Elfitriani Elfitriani
Published: November 2024

Masalah yang ditemukan pada PT. Harian Tribun Medan dalam proses pemilihan Pimpinan Redaksi (Editor in Chief) adalah perusahaan seringkali mengalami kesulitan dalam menentukan kandidat yang tepat mengingat bahwa ada banyak kandidat yang tersedia tetapi dibutuhkan waktu yang cukup lama untuk menilai kandidat tersebut secara satu persatu berdasarkan standar kualifikasi penilaian atau yang disebut juga dengan kriteria penilaian. Maka dari itu dibangunlah sebuah Sistem Pendukung Keputusan yang dapat melakukan penilaian dalam pemilihan staff redaksi. Sistem ini nantinya akan dikombinasikan dengan metode ARAS sebagai metode komputasi. Metode ARAS merupakan salah satu metode pengambilan keputusan multi kriteria berdasarkan pada konsep perangkingan menggunakan utility degree yaitu dengan membandingkan nilai indeks keseluruhan setiap alternatif terhadap nilai indeks keseluruhan alternatif optimal. Hasil yang diperoleh adalah terciptanya sebuah sistem pendukung keputusan yang akan memberikan output (keluaran) berupa urutan dari alternatif yang paling diprioritaskan untuk menjadi seorang Pimpinan Redaksi (Editor in Chief), mulai dari nilai yang tertinggi hingga terendah dalam bentuk perangkingan serta diharapkan dapat membantu pihak PT. Harian Tribun Medan terkait pemilihan Pimpinan Redaksi (Editor in Chief).
Sistem Pendukung Keputusan Untuk Menentukan Peminjaman Dana Kredit Berdasarkan Data Nasabah Menggunakan Metode WP
Authors: Irmayani Irmayani , Saniman Saniman , Syaifuddin M.
Published: November 2024

Credit Union diperuntukkan bagi setiap orang yang ingin menciptakan asset dengan cara menabung dengan harapan hari esok akan lebih sejahtera. Konsep Credit Union sangat berbeda dengan koperasi kredit, kartu kredit, mobil kredit, rumah kredit, dan barang-barang kredit lainnya. Koperasi Credit Union ini memiliki keistimewaan yang dimana mereka memiliki event dalam setiap tahun nya yaitu melakukan imbalan jasa terhadap anggota yang aktif yang terhitung dari setiap melakukan tranksaksi pembayaran pinjaman ataupun pembayaran simpanan wajib atau simpanan sukarela. Pihak koperasi akan membuat keputusan sendiri dari apa yang disepakati sebelum anggota meminjam dan adapun data anggota yang menjadi prioritas dan yang tidak prioritas ditentukan untuk agar kedepannya jika koperasi melakukan program maka anggota prioritas dulu yang diutamakan. Solusi dari masalah tersebut adalah dengan melakukan analisa data anggota terkait untuk perkembangan usaha Koperasi Simpan Pinjam Credit Union. Maka akan dilakukan penelitian mengenai peminjaman menggunakan Weighted Product pada Sistem Pendukung Keputusan untuk penentuan peminjaman kredit pada nasabah. Penelitian tersebut bertujuan untuk menciptakan suatu sistem berbasis komputerisasi, kemudian dengan diterapkannya sistem tersebut maka hasil yang didapatkan akan benar-benar akurat dan cepat. Dapat dikatakan bahwa dengan pengujian sistem berdasarkan kriteria-kriteria yang ada akan memberikan jawaban pasti dalam penentuan peminjaman kredit. Hal ini karena penerapan metode Weighted Product yang di masukkan ke dalam coding program sehingga sistem ini dapat membantu Koperasi Simpan Pinjam Credit Union.
Sistem Pakar Mendiagnosis Tuberkulosis Pada Remaja Menggunakan Metode Dempster Shafer
Authors: Simamora Rikardo , Alhafiz Afdal , Julianita Siti
Published: November 2024

Tuberkulosis paru yang sering dikenal dengan TBC paru disebabkan bakteri Mycobacterium tuberculosis (M. tuberculosis) dan termasuk penyakit menular. TBC paru mudah menginfeksi pengidap HIV AIDS, orang dengan status gizi buruk dan dipengaruhi oleh daya tahan tubuh seseorang. Jumlah TB paru di Indonesia menunjukkan 85% dari keadaan tersebut dipengaruhi oleh beberapa faktor diantaranya usia, jenis kelamin dan faktor pendidikan. Penyakit tuberkulosis (TB) pada paru- paru yang juga biasa disebut Koch Pulmonun (KP) merupakan penyakit yang sangat menular, yang disebabkan oleh kuman mycrobacterium tuberculosis. Permasalahan pada penelitilian ini adalah penyakit Tuberkulosis yang dialami pada remaja, maka dari permasalahan di atas dapat kita lihat betapa pentingnya sebuah sistem yang mampu membantu dalam mengetahui gejala awal dari penderitaÂ  Tuberkulosis yang terjadi sebelum penyakit tersebut menjadi parah. Sistem yang dapat dijadikan solusi yaitu sistem pakar. Hasil penelitian merupakan terciptanya sebuah aplikasi Sistem Pakar yang dapat digunakan dalam mengetahui penyakit Tuberkulosis yang dialami pada remaja berbasis web dengan metode Dempster Shafer, sehingga mampu menganalisis masalah yang terjadi.
Sistem Pakar Dalam Mendiagnosa Penyakit Blast Pada Tanaman Padi Dengan Metode Teorema Bayes
Authors: Zakaria Muhammad , Affandi Egi , Pane Deski Helsa
Published: November 2024

Penyakit blast pada tanaman padi merupakan masalah yang sering dihadapi oleh petani di seluruh dunia. Penyakit ini disebabkan oleh jamur Pyricularia oryzae dan dapat menyebabkan kerusakan yang serius pada tanaman padi, yang berakibat pada penurunan hasil panen dan pendapatan petani. Oleh karena itu, diperlukan sistem yang dapat membantu petani dalam mendiagnosa dan mengatasi penyakit ini dengan cepat dan efektif. Sistem pakar adalah solusi yang tepat untuk membantu petani dalam mengidentifikasi penyakit blast pada tanaman padi. Sistem ini menggunakan pengetahuan dari para ahli dalam bidang pertanian dan biologi untuk membangun model yang dapat digunakan untuk mendiagnosa penyakit dengan akurat. Dalam sistem pakar ini, metode Torema Bayes digunakan untuk menentukan probabilitas penyakit berdasarkan gejala yang ditemukan pada tanaman padi. Sistem ini juga dilengkapi dengan basis pengetahuan yang lengkap tentang penyakit blast pada tanaman padi, sehingga petani dapat memperoleh informasi yang akurat dan tepat waktu. Dengan menggunakan sistem pakar ini, petani dapat menghemat waktu dan biaya dalam mengatasi masalah penyakit pada tanaman padi. Sistem ini dapat memberikan solusi yang tepat dan akurat dalam waktu singkat, sehingga petani dapat mengambil tindakan yang diperlukan untuk mencegah kerusakan lebih lanjut pada tanaman padi. Selain itu, sistem pakar ini juga dapat membantu petani dalam meningkatkan hasil panen dan pendapatan mereka dengan memberikan saran yang tepat dalam merawat tanaman padi. Dalam jangka panjang, sistem pakar ini dapat membantu petani dalam meningkatkan produktivitas pertanian dan memperbaiki kualitas hidup mereka.
Impacto de la contaminación acústica en el estrés laboral según el modelo de carga alostática
Authors: Cárdenas Tambo Teseo Abel
Published: November 2024

Este ensayo examina el impacto de la contaminación acústica en el estrés y la salud mental, utilizando el concepto de carga alostática como marco teórico. Se contextualiza la contaminación acústica como un creciente problema de salud pública en áreas urbanas, analizando sus efectos más allá de la simple molestia auditiva. El trabajo explora cómo la exposición prolongada al ruido activa respuestas de estrés crónico, elevando los niveles de cortisol y alterando el sistema nervioso autónomo, lo que resulta en una sobrecarga alostática. Esta sobrecarga se asocia con graves consecuencias para la salud, incluyendo hipertensión, enfermedades cardiovasculares, trastornos del sueño, ansiedad y depresión. Además, se discute cómo la contaminación acústica afecta el sistema inmunológico, aumentando la susceptibilidad a diversas enfermedades. El ensayo enfatiza la necesidad de implementar políticas públicas más estrictas y estrategias de mitigación integrales. Se propone un enfoque holístico que combine intervenciones para los diferentes entornos laborales, incluyendo la planificación urbana consciente del ruido, la creación de espacios verdes, la mejora en la gestión del tráfico y el diseño de sistemas de transporte público más silenciosos.
Construction and Optimization of Comprehensive Risk Management System of Enterprises
Authors: Wen Ziwei
Published: November 2024

In the complex and changing market environment, the construction and optimization of enterprise comprehensive risk management system is crucial. This study clarifies the connotation and objectives of enterprise comprehensive risk management, analyzes the main risks faced by the enterprise and the reasons for them, and constructs a comprehensive risk management system including risk management organization structure, process and information system. In terms of risk prevention and control in key areas, specific measures are proposed for strategic, financial and market risks. Meanwhile, through risk management technology innovation, culture construction and capacity enhancement, the efficiency and accuracy of risk management have been improved, and the risk awareness and professional quality of all staff have been enhanced. In conclusion, the comprehensive risk management system of an enterprise is a systematic project, which requires the joint efforts of all departments to adapt to the market environment and provide guarantee for the sound development of the enterprise.
Early Childhood Education: The Relationship between Ethics and Respect
Authors: Qin Zhengyan
Published: November 2024

This essay explores the relationship between ethics and mutual respect from multiple perspectives and the role of teachers in providing equal education. The ethical significance of respecting others is widely acknowledged. Early childhood to adolescence is a crucial period for establishing social and ethnic identity as well as ethical and respectful attitudes. In education, it is essential to support minority groups, eliminate racism, pay attention to the education of children with disabilities, and value Aboriginal education. For instance, teachers should promote children's sense of self and dignity, choose books from different countries to foster moral and respectful relationships, avoid racism in the classroom, provide equal opportunities for children with disabilities, and respect Aboriginal culture. In conclusion, children should develop an ethical sense of inclusiveness and respect from an early age to establish a diverse, fair, and respectful social environment.
Exploration of Green Development and Sustainable Economic Paths from the Perspective of Environmental Economics
Authors: Lai HsuHung
Published: November 2024

The purpose of this paper is to explore in depth the theoretical foundations, economic impacts and practical strategies of green development and sustainable economic paths from the perspective of environmental economics. The study elucidates the central role of environmental economics in promoting green transition, analyses the multi-dimensional impacts of green development on economic growth, employment, technological innovation and social welfare, and explores the effectiveness of environmental economic policies such as green taxes and carbon trading. Further, the article explores specific strategies for implementing sustainable economic pathways in different economic sectors, and assesses their contribution to enterprise competitiveness and industrial upgrading. Through case studies of green development at home and abroad, the article verifies the effectiveness and sustainability of the application of environmental economics theories in practice. Finally, the article discusses the challenges and future opportunities, and proposes policy recommendations and research directions based on the perspective of environmental economics, with a view to providing references for promoting green development and building a sustainable economic system.
Risk Hedging Application of Quantitative Trading Risk Assessment Method in Securities Market
Authors: Gao Chenhui
Published: November 2024

This study focuses on the field of quantitative trading and explores in depth the application of risk assessment methods in securities market risk hedging. Through in-depth analysis of different risk categories in quantitative trading, the transmission mechanism and core influencing factors are clarified, such as market risk, credit risk, operational risk, liquidity risk, etc. Based on capital allocation theory, a dynamic risk parity strategy is created with the goal of balancing asset risk contributions, enhancing the robustness of quantitative strategies, and achieving sustained positive returns. Variables and data sources are selected from multiple perspectives in the securities market to construct a complex quantitative trading risk evaluation model. Through subsequent regression analysis, variance decomposition, time series stability check, and Montcallo simulation methods, the model settings are strictly checked to ensure accurate theoretical analysis. The final empirical results revealed that the new risk assessment method proposed specific suggestions for strategy optimization and adjustment through strategy backtesting and sensitivity analysis. In order to provide reference for efficient execution of risk hedging strategies in practice.
Assessment and Optimisation of China's Green Finance Policies under the ‘Dual Carbon’ Target
Authors: Fan Chen
Published: November 2024

China's 'Dual Carbon' targets aim to peak carbon emissions by 2030 and achieve carbon neutrality by 2060, a critical step for China towards sustainable development. Green finance is a key mechanism to support these targets. It is essential to promote low-carbon industries, reduce carbon emissions, and encourage sustainable growth. This paper assesses the effectiveness of China's current green finance policies using a policy evaluation framework that includes empirical analysis and case studies. It also highlights achievements and challenges in policy implementation, including regional and sectoral differences. A comparative analysis of international green finance practices is conducted to provide insights for optimising China's policy framework. Based on these findings, appropriate recommendations are given to enhance the coherence, innovation, and market mechanisms of green finance policies, ultimately contributing to the realisation of China's 'Dual Carbon' goals.
Research on Intelligent Operation and Maintenance Technology for Industrial Wastewater Treatment
Authors: Zhao Yaxin , Duan Chunyi
Published: November 2024

With the rapid progress of industrialization, the problem of industrial wastewater treatment is becoming increasingly severe and urgently needs to be solved. Intelligent operation and maintenance technology provides innovative solutions for industrial wastewater treatment by integrating cutting-edge technologies such as the Internet of Things, cloud computing, big data analysis, and artificial intelligence. This article will deeply analyze the practical application, prominent advantages, challenges, and future development directions of intelligent operation and maintenance technology in industrial wastewater treatment, with the aim of providing useful references and inspirations for research and practice in this field.
Statistical Methods in Credit Risk Prediction: Analyzing Risk through Data Analytics
Authors: Wu Yuhui
Published: November 2024

This study explores the factors influencing loan approval decisions by financial institutions using logistic regression analysis. By examining a dataset of loan applicants, we identify key predictors that significantly impact the likelihood of loan approval. The analysis reveals that higher income, larger family size, higher education levels, possession of a CD account, use of online banking, and having a credit card are positively associated with loan approval. Conversely, the presence of a securities account has a more complex relationship with loan approval likelihood. These findings suggest that financial institutions favor applicants with stable financial profiles and higher levels of financial engagement. Understanding these factors can help improve risk assessment models, ensuring more accurate and fair loan approval processes.
KHẮC PHỤC MỘT SỐ LỖI NGỮ PHÁP THƯỜNG GẶP TRONG HỌC TIẾNG PHÁP CỦA SINH VIÊN HỌC VIỆN CẢNH SÁT NHÂN DÂN
Authors: Nguyễn Thu Thủy
Published: November 2024

Ngữ pháp tiếng Pháp được xem là vô cùng phức tạp và là rào cản lớn nhất đối với những người học tiếng Pháp. Các sinh viên mới học tiếng Pháp tại Học viện Cảnh sát nhân dân thường mắc nhiều lỗi ngữ pháp cơ bản như: lỗi chia động từ, lỗi trật tự từ, cấu trúc ngữ pháp không đúng... Nguyên nhân của những lỗi này có thể là do thói quen văn hóa, người học không có ý thức sửa lỗi hoặc do sự không tương thích về trật tự ngữ pháp giữa tiếng mẹ đẻ (tiếng Việt) và tiếng Pháp.
BẢO TỒN VÀ PHÁT HUY NHẠC CỤ TRUYỀN THỐNG CỦA NGƯỜI RA-GLAI Ở HUYỆN BÁC ÁI, TỈNH NINH THUẬN
Authors: Đàng Năng Hòa , Thúy
Published: November 2024

Người Ra-glai có một nền văn hoá dân gian mang đậm bản sắc dân tộc, tiêu biểu như: kiến trúc nhà mồ, nhà ở, hệ thống nghi lễ, lễ hội, sử thi, âm nhạc, dân ca dân vũ… Trong đó, âm nhạc đóng một vai trò quan trọng trong đời sống sinh hoạt cộng đồng cũng như trong các nghi lễ, lễ hội của tộc người Ra-glai. Nội dung chính trong bài viết này, chúng tôi đề cập đến vai trò của nhạc cụ trong đời sống tinh thần của người Ra-glai. Đồng thời, nêu lên thực trạng bảo tồn và từ đó đưa ra những giải pháp nhằm bảo tồn và phát huy hệ thống nhạc cụ của tộc người Ra-glai trong giai đoạn hiện nay.
PHÁT TRIỂN NGUỒN NHÂN LỰC CHẤT LƯỢNG CAO ĐÁP ỨNG NHU CẦU XÂY DỰNG ĐÔ THỊ THÔNG MINH Ở TỈNH BÌNH DƯƠNG HIỆN NAY
Authors: Nguyễn Thế Vinh
Published: November 2024

Nguồn nhân lực, đặc biệt là nguồn nhân lực chất lượng cao luôn đóng vai trò quyết định quan trọng hàng đầu đối với sự phát triển kinh tế - xã hội của mỗi quốc gia. Trong bối cảnh cuộc Cách mạng công nghiệp lần thứ tư đang diễn ra mạnh mẽ, Đảng và Nhà nước ta càng đặc biệt coi trọng việc xây dựng, phát triển nguồn nhân lực chất lượng cao, coi đây là yêu cầu cấp thiết của sự nghiệp đẩy mạnh công nghiệp hóa, hiện đại hóa đất nước và hội nhập quốc tế hiện nay. Bình Dương là một tỉnh công nghiệp phát triển trong Vùng kinh tế trọng điểm phía Nam, cho nên việc phát triển nguồn nhân lực chất lượng cao cũng là một yêu cầu cấp bách cho sự nghiệp công nghiệp hóa, hiện đại hóa của tỉnh hiện nay.
GIÁO DỤC VĂN HOÁ HỌC ĐƯỜNG CHO SINH VIÊN CÁC TRƯỜNG CAO ĐẲNG, ĐẠI HỌC Ở VIỆT NAM HIỆN NAY
Authors: Phạm Đình Khuê
Published: November 2024

Văn hóa học đường là những gì đang diễn ra trong trường học, được sử dụng để vận hành nhà trường - khi đạt tới chuẩn và các giá trị thì đó là văn hóa học đường. Giáo dục văn hóa học đường chính là nền tảng để rèn luyện, hoàn thiện những phẩm chất cho thế hệ trẻ (thanh niên, sinh viên - những chủ nhân tương lai của đất nước). Đặc biệt, trong chiến lược phát triển kinh tế - xã hội giai đoạn 2021-2030, một trong các khâu đột phá được Đảng ta xác định: “Tiếp tục phát triển toàn diện nguồn nhân lực, khoa học, công nghệ, đổi mới sáng tạo gắn với khơi dậy khát vọng phát triển đất nước, lòng tự hào dân tộc, ý chí tự cường và phát huy giá trị văn hóa, con người Việt Nam”.
TIẾP CẬN VĂN HÓA TỪ HỆ THỐNG ĐỊA DANH TIẾNG DÂN TỘC TẠI CHỖ Ở TÂY NGUYÊN - Nghiên cứu trường hợp các dân tộc Ê-đê, Jrai, Mnông ở tỉnh Đắk Lắk
Authors: Nguyễn Thị Bích Thu
Published: November 2024

Tây Nguyên gồm 5 tỉnh Gia Lai, Kon Tum, Đắk Lắk, Lâm Đồng; là một vùng văn hóa rộng lớn và có những đặc trưng riêng so với các vùng văn hóa khác do điều kiện về lịch sử, địa hình, địa lý,… Ở Tây Nguyên có hơn 10 dân tộc tại chỗ, cơ bản thuộc hai nhóm ngôn ngữ Môn - Khmer và nhóm ngôn ngữ Nam Đảo. Do đó, giữa các dân tộc cùng nhóm ngôn ngữ sẽ có những điểm tương đồng nhất định về ngôn ngữ, văn hóa. Địa danh đặt bằng tiếng dân tộc tại chỗ ở Tây Nguyên - là một thành tố của văn hóa - chiếm tỷ lệ áp đảo so với địa danh bằng tiếng Việt. Thông qua hệ thống địa danh, chúng ta có thể lý giải nhiều vấn đề về văn hóa các dân tộc ở đây. Bài viết này sẽ nghiên cứu điểm trường hợp hệ thống địa danh bằng tiếng Ê-đê, Jrai, Mnông - các dân tộc tại chỗ ở tỉnh Đắk Lắk và rút ra một số kiến giải về nhà ở, ẩm thực, trang phục, nghề truyền thống, tín ngưỡng của các dân tộc Tây Nguyên nói chung và tỉnh Đắk Lắk nói riêng.
TRI THỨC ĐỊA PHƯƠNG TRONG SỬ DỤNG VÀ BẢO VỆ TÀI NGUYÊN THIÊN NHIÊN CỦA CÁC TỘC NGƯỜI THIỂU SỐ TẠI CHỖ Ở TÂY NGUYÊN HIỆN NAY
Authors: Nguyễn Thẩm Thu Hà
Published: November 2024

Tri thức địa phương chứa đựng những bài học về cách ứng xử cần thiết của con người với môi trường xung quanh để tồn tại và phát triển. Đó cũng là những quy tắc ứng xử của cá nhân, của cộng đồng và các cộng đồng với nhau. Tri thức địa phương là cơ sở của sự hiểu biết về các lĩnh vực nông nghiệp, lâm nghiệp, quản lý tài nguyên, chăm sóc sức khỏe, quản lý xã hội…, đồng thời cũng là di sản văn hóa quý giá tạo nên bản sắc riêng của mỗi tộc người. Bài viết này sẽ tập trung phân tích các giá trị của tri thức địa phương trong sử dụng, bảo vệ tài nguyên thiên nhiên đối với các tộc người thiểu số tại chỗ ở Tây Nguyên và gợi mở những vấn đề đặt ra, trên cơ sở đó đề xuất một số giải pháp nhằm bảo tồn và phát huy các giá trị của nó, góp phần phát triển bền vững nguồn tài nguyên thiên nhiên ở Tây Nguyên trong bối cảnh hiện nay.
GIÁO DỤC GIÁ TRỊ ĐỨC - TRÍ - THỂ CHO THANH NIÊN TRONG GIA ĐÌNH PHẬT TỬ TẠI ĐÀ NẴNG
Authors: Hoàng Thị Mai Sa
Published: November 2024

Gia đình Phật tử được biết đến như là một hội đoàn Phật giáo ra đời từ phong trào chấn hưng Phật giáo Việt Nam ở thế kỷ XX. Mục đích của hội đoàn Phật giáo này nhằm giáo dục Phật tử trẻ thành những người Phật tử chân chính, phụng sự đạo pháp và dân tộc. Tại Đà Nẵng, gia đình Phật tử hình thành từ thập niên 50 của thế kỷ XX, trải qua nhiều thăng trầm, tính đến đầu thế kỷ XXI vẫn luôn hiện hữu, lớn mạnh, đáp ứng được nhu cầu của con người trong xã hội có nhiều đổi thay hiện nay, đặc biệt là nhu cầu giáo dục đạo đức cho thanh thiếu niên. Bài viết nghiên cứu các hoạt động của tổ chức gia đình Phật tử tại Đà Nẵng nhằm giáo dục giá trị Đức - Trí - Thể cho thanh thiếu niên Phật tử trong bối cảnh văn hóa - xã hội đương đại.
Does Organizational Green Culture Impact Competitive Advantage and Green Performance with Mediation of Green Innovation?
Authors: Aslam Muhammad , Zain Fahad , Qasim Muhammad , Leghari Muhammad Adnan , Abbas Muhammad Zaigham
Published: November 2024

The competitive landscape is undergoing a rapid transformation because of the increasing public concern regarding the natural environment, which is compelling firms to implement green innovation strategies. Although there has been not much study on green innovation, the concept has been acknowledged by numerous manufacturing firms. By the logic of natural resource-based view theory (NRBV), the objective of this paper is to empirically construct and test a theoretical model that examines the impact of organizational green culture (OGC) on green innovation (GI), competitive advantage (CA) and green performance (GP). It also investigates the influence of GI on CA and GP. This model elucidates how green innovation mediates these associations. The researchers gathered data from 319 manufacturing enterprises in Punjab, Pakistan. The data were analyzed using smartPLS 3.2.9 (variance-based software). This paper employs a questionnaire to collect primary data from managers. The study's results indicate that OGC substantially predicted GI, CA, and GP. In addition, GI has a substantial effect on GP and CA. The results also indicate that GI partially mediates the relationship between OGC-CA and OGC-GP. Some limitations are providing directions for future investigations.
Investigating Listening Comprehension Challenges in Online EFL Courses: Perspectives from University Students
Authors: AL-Harbi Noof Saleh , Mirza Nosheen Asghar
Published: November 2024

The current study investigated the challenges of listening comprehension encountered by Saudi university students in online English as a Foreign Language (EFL) classes. It examined the role played by gender and academic specialisations in the listening comprehension challenges in online EFL classes. Data were collected via an online questionnaire from five hundred and thirty-nine male and female undergraduates. The results indicated that the primary challenge was related to Listening Conditions, which ranked highest with a mean score of 3.78. This was followed by Language Exposure (mean score of 3.60), Suitability to Student Proficiency Level (mean score of 3.47), Well-being and Alertness (mean score of 3.41), and finally, Listening Skills (mean score of 3.40). Additionally, the results revealed statistically significant differences (p < 0.05) in the challenges of listening comprehension based on gender, with female students reporting greater difficulties than male students. Furthermore, significant differences (p < 0.05) were found concerning the students' specialisation, with those in health-related fields experiencing more pronounced challenges compared to their counterparts in scientific disciplines. This study emphasises the necessity of implementing strategies to enhance students' EFL listening comprehension and calls for more urgent and comprehensive research to address the identified challenges in listening comprehension.
Exploring the Adherence to AI-Generated Writing Standards: Practice Levels among University Students
Authors: Ismail Abdelrahim Fathy , Abdullatif Ali Khalifa Atwa , Elmorsy Ghada Nasr , Al-Muoaeweed Ohaud , Al Yahya Hind Tarish , Thakir Rahma Sulaiman , Badran Amro Hassan , Shahpo Samia Mokhtar
Published: November 2024

Since writing was done with a quill, then with typewriters, and up to modern text processing programs, writing has always adhered to standards concerning the responsibilities and roles of the author, which cannot be abdicated. Given that adherence to writing standards may be a suitable way to regulate the use of generative artificial intelligence, this study explores the extent to which a sample of university students adhere to the standards of AI-generated writing. A total of 326 students majoring in the humanities participated in the study. The research was designed as a quantitative study, employing a descriptive-analytical approach to process the obtained results. A proposed list of standards for AI-generated writing suitable for undergraduate students was prepared and presented to experts. Based on the proposed standards list, data were collected using a graduated practice scale that illustrates the levels of student adherence to AI-generated writing standards. The scaled measure delved into student practices related to standards such as Input Guidance, Disciplined Dependability, Content Validation, Critical Analysis, Documentation, Review and Editing, and Responsibility. Students achieved beginner and intermediate ratings in their adherence to AI-generated writing standards, and they attained very low levels in the advanced practices of standard. This paper contributes to our understanding of how students apply AI-generated writing standards. The gap revealed by the current study's results prompts us to establish regulatory guidelines to enforce student adherence to AI-generated writing standards.
Assessment of Married Men Involvement in Family Planning Practices: A Qualitative Study of Akure South Local Government Area of Ondo State, Nigeria
Authors: Ogundolapo Falokun Rosemary
Published: November 2024

The non-accommodation of men in the family planning programs has been identified as one of the contributory factors for the low utilization of FP methods in this male-dominated society like Nigeria. Male involvement can lead to uptake in acceptance and prevalence rate of family planning methods and practices in Nigeria.This paper aimed to study the involvement of married men in the family planning practices in Akure South Local Government Area of Ondo State, Southwestern Nigeria. The primary data were collected from 250 married informants who satisfied the eligibility criteria and were assessed througha self-administered questionnaire and selected from the sample population across 11 political wards in the Akure South Local government area using a multi-stage random sampling technique. The secondary data were generated from government publications, journals, newspapers, and relevant internet materials. The presentation and analyses of data were done using descriptive statistics (frequency table, percentage and numbers). The study’s findings revealed that married men’s knowledge about family planning practices is high while exhibiting low involvement in FP and low utilization of the FP methods. However, the number of children, socio-cultural beliefs, financial status, education and religion are discovered to be among conditional factors that influence contraceptive use among married partners. The study therefore recommended increased health promotion and education of family planningprogrammes among the residents and involvement of men as a target in all FP programmes and introduction of family planning services in National Health Insurance Scheme in order to reduce associated misconceptions about contraceptives methods and increase the usage.
Correlations between Anthropometric Indices and Hypertension in Adults: Emerging Trends in a Contemporary Urban Setting
Authors: Chukwu Norbert Sunday , Ikwuka Aloysius Obinna , Udeh Francis Chigozie
Published: November 2024

Anthropometric indices are influenced by nutrition, genetics, lifestyle, age, and ethnicity thus assessing these indices is a cheap tool to predict risk factors that affect blood pressure. There is no consensus on the anthropometric index that best predicts adults’ blood pressure. This research aimed to determine the relationships between anthropometric indices (weight, height, waist circumference (WC), hip circumference (HP), neck circumference (NC), chest circumference (CC), subscapular fold (SSF), triceps fold (TF), body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), subscapular-triceps ratio (STR), and blood pressure; and to determine the best predictor(s) of hypertension among these indices. This cross-sectional study was carried out in Enugu City, South-East Nigeria, and involved 355 adults, aged between 20-75 years. The comparison of the indices was done using the Student’s t-test. Pearson correlation coefficient (r) was used to relate the indices with blood pressure, and Receiver Operating Characteristic (ROC) was used to determine the cut-off points of the indices to identify the best predictor(s) of hypertension. The prevalence of hypertension was 38.0%. All the anthropometric indices except height, NC, and STR were significantly higher in hypertensive participants than in the non-hypertensive participants. Pearson correlation coefficient (r) showed that all the indices except height, NC, and STR have weak linear positive relationships with blood pressure (r=0.1127-0.375) at p<0.001. The ROCs showed that WC was the best predictor with an area under curve (AUC) of 0.692, a cut-off point of 96.50cm, and a PPV of 57%. However, with an AUC <0.7, all the indices were weak predictors of hypertension. Hypertension correlated positively with increased age. Although anthropometric indices are weak predictors of hypertension, WC is the best index in predicting hypertension. Due to the inconsistent effects of WC on sensitivity, specificity, and PPV, WC is still a weak predictor of hypertension. However, the predictive power of WC could be augmented by age if the participants were above 45 years. At age >45 years, the participants had 5 times the chance of developing hypertension regardless of gender.
Second Language Learning Anxiety of Korean Students: A Multiple Case Analysis
Authors: Mayormita Krystyna Jsugar R.
Published: November 2024

The main purpose of this multiple case study was to explore the language learning anxieties experienced by Korean English learners. It also investigated how these anxieties are developed and their bearing on their English language learning. Five Koreans from Davao City were selected through purposive sampling. This study employed a qualitative – multiple-research design with five cases. An in-depth interview was the tool used to gather the necessary information. Concerning their language anxieties, themes generated include language learning insecurities, frustration, jitters, stress, and self-consciousness. These anxieties were developed due to experiences from embarrassment, helplessness, disappointment, uncertainty, lack of confidence, and teachers’ insensitivity. The impact of these language anxieties on their English learning includes loss of drive and motivation, intensified effort, and diminished self-confidence.
As a Featured ‘Cause of Dry Eye Syndrome ‘Digital Screens
Authors: Karaarslan Cüneyt , Coşkun Arzu
Published: November 2024

As digital screens have become more indispensable in our lives, the health problems they induce have become more frequent. Dry eye syndrome may be the most common and preventable of these health issues. In this study, we investigated the adversity of digital screens on tear function. This study evaluated the possible negative and potentially harmful effects of digital screens on the lacrimal system and tear functions with the voluntary participation of 221 patients who applied to a private eye hospital in March and April 2024. While the ocular surface conditions of the participating volunteers were evaluated with Ocular Surface Disease Index (OSDI) scores, lacrimal activity functions were measured with the Schirmer test. The cases were 25-50 years old. The Ocular Surface Disease Index (OSDI) evaluated the severity of dryness in the eyes. We found a reciprocal and statistically significant difference between dry eye symptoms and OSDI scores. Smartphone usage for more than 5 years, especially with higher screen brightnesses, has been attributed to a higher risky behavior for dry eye syndrome.
IMPLEMENTASI ALGORITMA FUZZY PADA SISTEM KONTROL AQUAPONIK PADI
Authors: Kahfi Ibnu , Fauzi Rizana , Sollu Tan Suryani , Alamsyah Alamsyah
Published: November 2024

Aquaponics is an agricultural system that combines fish and plant cultivation in one closed system. In an aquaponics system, the water used for fish cultivation is also used to irrigate plants with rice aquaponics as one example. However, monitoring and controlling aquaponic systems is still done manually, which has many shortcomings, including requiring a relatively long time and accuracy that is not guaranteed, especially in large-scale aquaponics management. Implementing the fuzzy algorithm in the rice aquaponics control system aims to make it easier for farmers to monitor the condition of the rice and control the water change system in the pond in real time via the Blynk application on their smartphone. This system combines ESP-32 technology, fuzzy algorithms, and the Internet of Things (IoT) to monitor and control the rice aquaponics system. The results of data collection from the implementation of the fuzzy algorithm in the rice aquaponics control system show that the tool functions well. This tool can monitor the condition of rice and control the water change system in the pond in real time using the Blynk application. The level of accuracy of implementing the fuzzy algorithm for monitoring rice conditions was 99.61% and the accuracy of implementing the fuzzy algorithm for pump control of the water change system was 98.95%.
RANCANG BANGUN DC TO DC CONVERTER UNTUK SISTEM MONITORING SALINITAS AIR LAUT DENGAN PHOTOVOLTAIC SEBAGAI SUMBER ENERGI
Authors: Samad Mohammad Syafar , Adam Ahmad Antares , Arifin Yusnaini , Mahmudi Irwan , Sholihah Ratih Mar'atus
Published: November 2024

Renewable energy is an energy source that can be utilized continuously and is available by nature. One example of using renewable energy is photovoltaic. Photovoltaic is a tool used to absorb solar energy and convert it into electrical energy using the photovoltaic effect method. This research aims to monitor the salinity (salt content) of sea water by utilizing solar energy using the Buck Converter type DC to DC Converter method to regulate and reduce the higher voltage to a lower voltage to be loaded on the microcontroller as the reading output. This research was designed using a 20 WP photovoltaic with a maximum voltage of 20 volts which functions as a power supplier or energy source whose voltage is then reduced by a buck converter circuit to a smaller voltage of 5 volts to be charged to the Arduino Uno in processing salinity measurement data using a TDS sensor. as a measuring tool. The test results of the equipment show that the DC to DC Converter circuit is successful in reducing the photovoltaic voltage so that it can operate the microcontroller.
OTOMATISASI SISTEM IRIGASI PERKEBUNAN MENGGUNAKAN METODE TETES DENGAN PHOTOVOLTAIC SEBAGAI SUMBER ENERGI
Authors: Mukhlis Baso , Amin Nurhani , Fatmawati Andi , Masarrang Maryanto
Published: November 2024

Red chili is one type of vegetable that is quite important in Indonesia, both as a commodity consumed domestically and as an export commodity. Red chili production in Indonesia is still relatively low. The choice of chili plants in this research is based on the high market demand for chili commodities, however, to meet the demand which continues to increase every year, it is necessary to increase chili production through intensification or extensification. Weather factors have a big influence on the development of chili plants. During the long dry season, chili plants cannot grow well, this is due to the lack of water available for the plant's needs, which increases pest attacks. Another factor is excess soil moisture which can trigger chili plants to rot and die. To make it easier to cultivate chili plants,  innovation needs to be carried out to help chili cultivators manage their chili plant cultivation, therefore by using the Plantation Irrigation System Automation tool using the Drip Method with Photovoltaic as an Energy Source it is hoped that this can be an innovation in managing the cultivation of chili plants, especially in controlling soil moisture in chili plants.