bluuebunny/crossref_metadata_2025 huggingface dataset:
Drivers of E-Wallet Acceptance Among Yemeni Citizen
Authors: Mana'a Sadeq Ali Yahya , Algawani Rana Saleh , Alsabry Ayman
Published: February 2025

تتناول هذه الدراسة العوامل المؤثرة على النية السلوكية لتبني نظام المحفظة الإلكترونية في اليمن. يركز التحليل على أربعة متغيرات مستقلة: سهولة الاستخدام المتصورة (PEU)، الفائدة المتصورة (PU)، المعايير الذاتية (SN)، والثقة المتصورة (PT). تم استخدام تحليل الانحدار المتعدد وإحصائيات t لتقييم العلاقات ومستويات الأهمية.
كشفت النتائج أن الفائدة المتصورة (PU) لها أقوى تأثير إيجابي على النية السلوكية للتبني، تليها المعايير الذاتية (SN) والثقة المتصورة (PT)، بينما أظهرت سهولة الاستخدام المتصورة تأثيرًا إيجابيًا معتدلًا ولكنه أضعف من المتغيرات الأخرى. تشير هذه النتائج إلى أن إدراك المستخدمين للفائدة وسهولة الاستخدام والمعايير الذاتية والثقة تلعب دورًا مهمًا في تشكيل نوايا تبني المحافظ الإلكترونية.
تؤكد الدراسة أن هذه العوامل لها تأثيرات مهمة على المطورين والمؤسسات الساعية إلى تعزيز استخدام المحافظ الإلكترونية. بناءً على هذه النتائج، توصي الدراسة بالتركيز على تعزيز الفائدة المتصورة، وتحسين التأثير الاجتماعي، وبناء الثقة بين المستخدمين لتسريع القبول الواسع لهذه التكنولوجيا المالية. كما تسلط الضوء على ضرورة تطوير استراتيجيات تستهدف التغلب على التحديات المرتبطة بالتبني وتعزيز المدفوعات الرقمية في اليمن.
The Impact of Technology Advancement on Unemployment in Yemen Manufacturing Companies
Authors: Mana'a Sadeq Ali Yahya , Alsabry Ayman , Algawani Rana Saleh
Published: February 2025

تبحث هذه الدراسة في العلاقة بين البطالة والتقدم التكنولوجي في الشركات الصناعية اليمنية، من خلال تحليل ثلاثة متغيرات مستقلة: تعزيز الإنتاجية، الكفاءة التشغيلية، ومتطلبات المهارات. تهدف الدراسة إلى تقديم رؤى حول العوامل التي تؤثر في البطالة ومدى أهميتها في تفسير تباينها.
تم استخدام عدة أساليب تحليلية إحصائية مثل تحليل الارتباط، والانحدار المتعدد، وتحليل التباين (ANOVA)، واختبارات t لفحص العلاقات بين المتغيرات. أظهرت النتائج وجود علاقة ارتباط إيجابية متوسطة بين التقدم التكنولوجي والبطالة، مما يشير إلى أنه مع زيادة التقدم التكنولوجي، تميل البطالة إلى الارتفاع بشكل معتدل. ومع ذلك، لا تزال هناك حاجة إلى مزيد من البحث لتحديد العلاقة السببية بشكل دقيق.
أوضح التحليل الانحداري المتعدد أن حوالي 23.4% من التباين في البطالة يمكن تفسيره من خلال المتغيرات المستقلة الثلاثة، حيث تبين أن تعزيز الإنتاجية ومتطلبات المهارات لهما تأثير إيجابي وملحوظ على البطالة، بينما لم يكن للكفاءة التشغيلية تأثير معنوي. تؤكد الدراسة على أهمية فهم أثر التكنولوجيا على سوق العمل، وتوصي بوضع سياسات تعزز التوازن بين التقدم التكنولوجي ومتطلبات التوظيف لضمان استدامة العمالة في القطاع الصناعي.
Peran Manajemen Sumber Daya Manusia dalam Meningkatkan Daya Saing UMKM di Era Digital
Authors: Mohd Pajri
Published: February 2025

This research reveals that effective Human Resource Management (HRM) is essential to improve the competitiveness of MSMEs. In this research that uses descriptive qualitative methods, researchers review how improving the competence and quality of HRM through continuous training and development can help MSMEs adapt to market changes and improve their performance. The result of this study is how good HR Management not only improves the quality of the workforce, but also contributes to the sustainability and competitiveness of MSMEs in an increasingly competitive market. So that by optimising HR management, MSMEs can create a positive work environment, which in turn increases employee motivation and productivity.
Dos décadas de observaciones satelitales: lecciones sobre los extremos hidrológicos en el Oeste de la región Pampeana
Authors: Diez Jorge Francisco , Carmona Facundo , Rivas Raúl , Holzman Mauro , Beninato Sabrina , Oses Bustamante Simón , Houspanossian Javier
Published: February 2025

El Oeste de la región Pampeana es conocido por su alternancia entre ciclos de inundación y sequías, enfrentando importantes desafíos relacionados a la gestión del agua. En este sentido, comprender la relación entre los fenómenos hidrológicos extremos y los excesos y déficits de precipitación acumulados resulta relevante para la planificación y gestión territorial. En este estudio se analizó la relación entre la variabilidad hidrológica y la variabilidad climática en el Oeste de la región Pampeana, desde el año 2000 hasta el 2023. Para este análisis se construyeron  series temporales mensuales de anomalías de almacenamiento de agua terrestre (GRACE/GRACE-FO), de cobertura superficial de agua (Landsat) y del índice estandarizado de precipitación-evapotranspiración (SPEI) a múltiples escalas temporales (1 a 48 meses). A partir del método de nivel de umbral se identificaron tres episodios de inundación y dos de sequías. Se evidenció que las condiciones acumuladas extremadamente húmedas conjuntamente con niveles altos de almacenamiento de agua terrestre pueden generar inundaciones severas. Por otra parte, las altas correlaciones entre SPEI de 36 y 48 meses con el almacenamiento de agua terrestre (r = 0.85; p < 0,01) demostraron la importancia de los excesos y déficits de precipitación acumulados en el tiempo para comprender la sucesión de episodios de inundaciones y sequías, así como también la alta capacidad de los índices para monitorear el estado hidrológico de la región. Estos hallazgos resaltan la relevancia de las observaciones satelitales para mejorar la gestión y reducción de los riesgos asociados a las inundaciones y sequías.
Pemberdayaan Usaha Komunitas: Penguatan Isntitusi BUMDesa melalui Regulasi Desa di BUMDesa Pala Opat
Authors: Binsasi Heribertus , Festianto Dian , Fina Yohanes
Published: February 2025

Kurangnya pemahaman perangkat desa dan badan musyawarah dalam menyusun peraturan desa khusus untuk penyertaan modal telah menghambat pengelolaan BUMDesa Pala Opat yang efektif di Desa Tubu, Kabupaten Timor Tengah Utara. Kegiatan pengabdian ini bertujuan untuk memperkuat kelembagaan BUMDesa melalui penyusunan peraturan desa, yang memastikan pengelolaan lebih baik dan peningkatan kesejahteraan masyarakat. Metode yang digunakan mencakup ceramah, dialog, pendampingan, dan bimbingan teknis dalam penyusunan peraturan desa. Hasilnya menunjukkan peningkatan pengetahuan pemangku kepentingan dan tersusunnya rancangan peraturan tentang penyertaan modal bagi BUMDesa Pala Opat. Inisiatif ini memberikan kontribusi signifikan terhadap keberlanjutan pengelolaan BUMDesa dan pemberdayaan masyarakat lokal melalui kerangka hukum yang mendukung pembangunan ekonomi serta meningkatkan kualitas hidup masyarakat desa.
Implementasi Green Economy melalui Ecobrick: Pemberdayaan Siswa MA DDI Padanglampe dalam Daur Ulang Sampah Pelastik
Authors: Tenriwaru  , Karim Kasnaeny , Maizirwan Mel
Published: February 2025

Sampah plastik yang sulit terurai menjadi salah satu masalah lingkungan yang signifikan. Untuk mengatasi hal tersebut, kegiatan Pengabdian kepada Masyarakat (PKM) ini mengimplementasikan metode Ecobrick, yaitu teknik mengisi botol plastik bekas dengan limbah plastik kering untuk dijadikan material konstruksi seperti meja dan kursi. Kegiatan ini dilaksanakan melalui sosialisasi dan bimbingan teknis kepada siswa Madrasah Aliyah Darud Da’wah Wal Irsyad (MA DDI Padanglampe), Kabupaten Pangkep, Sulawesi Selatan. Tujuan kegiatan ini adalah meningkatkan pemahaman siswa tentang Green Economy, memberikan keterampilan dalam pengelolaan limbah plastik, dan mendorong potensi kewirausahaan berbasis Ecobrick. Hasil kegiatan menunjukkan bahwa siswa berhasil menciptakan produk berbasis Ecobrick seperti kursi dan meja, serta mengalami peningkatan pemahaman tentang pentingnya menjaga lingkungan. Kegiatan ini diharapkan menjadi langkah awal dalam mendukung Green Economy di lingkungan sekolah.
Penguatan Kompetensi Pegawai Pemerintah dalam Pemanfaatan Artificial Intelligence untuk Efisiensi Layanan Publik di Kota Palembang
Authors: Igamo Alghifari Mahdi , Azwardi Azwardi , Yarsah Waldi Novi , Liliana Liliana , Raneo Agung Putra , Ulum Muhammad Bahrul
Published: February 2025

Artificial Intelligence (AI) telah menjadi alat strategis untuk mendukung efisiensi dan inovasi dalam pelayanan publik, namun tantangan utama adalah kurangnya pemahaman dan keterampilan di kalangan pegawai pemerintahan. Program ini bertujuan untuk meningkatkan pemahaman, keterampilan praktis, dan kesadaran etis pegawai pemerintahan di Kota Palembang dalam memanfaatkan AI secara efektif dan bertanggung jawab. Kegiatan ini menyasar pegawai dari Disnaker Provinsi Sumatera Selatan, SAMSAT Kota Palembang 1, dan SAMSAT Kota Palembang 3, dengan metode pelaksanaan berupa sesi edukasi interaktif, pelatihan berbasis aplikasi AI, dan diskusi kelompok terarah. Hasil evaluasi menunjukkan peningkatan signifikan, dengan 83% peserta melaporkan pemahaman yang mendalam terhadap konsep dasar AI serta kemampuan untuk mengintegrasikan teknologi ini ke dalam tugas administratif seperti analisis data, penyusunan laporan, dan visualisasi informasi. Program ini tidak hanya memberikan keterampilan teknis tetapi juga berkontribusi pada pengembangan budaya kerja berbasis teknologi yang bijak, inovatif, dan sesuai kebutuhan transformasi digital di sektor pemerintahan.
Pelatihan Penalaran Matematis Siswa Untuk Soal ANBK di SMA Negeri 1 Pengasih
Authors: Marhaeni Nafida Hetty , Purwanto Arie , Rumasoreng Muhammad Irfan
Published: February 2025

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan penalaran matematika siswa SMA Negeri 1 Pengasih dalam rangka persiapan Asesmen Nasional Berbasis Komputer (ANBK). Tahap persiapan dilakukan secara cermat melalui pengurusan perizinan, studi literatur untuk merancang materi yang relevan, serta pemilihan peserta secara acak guna memastikan keberagaman. Materi pelatihan dirancang tidak hanya berfokus pada penyelesaian soal, tetapi juga pada penguasaan strategi penalaran sebagai keterampilan kritis dalam pendidikan berbasis teknologi. Kegiatan ini dilaksanakan selama tiga hari dengan pendekatan sistematis. Hari pertama dimulai dengan pretest untuk mengukur kemampuan awal siswa, dilanjutkan dengan diskusi soal-soal geometri serta sesi motivasi untuk meningkatkan kepercayaan diri siswa. Pada hari kedua, siswa dibagi ke dalam kelompok kecil untuk pembelajaran kolaboratif yang berfokus pada masalah aljabar. Hari ketiga difokuskan pada penguatan topik geometri melalui kerja kelompok dan diakhiri dengan posttest untuk mengevaluasi efektivitas pelatihan. Hasil kegiatan menunjukkan bahwa pendekatan pembelajaran yang interaktif dan personal secara efektif meningkatkan pemahaman siswa terhadap materi matematika yang relevan dengan ANBK. Kegiatan ini ditutup dengan pemberian kenang-kenangan dan sambutan motivasi dari kepala sekolah. Inisiatif ini diharapkan dapat memberikan dampak positif terhadap kesiapan siswa dalam menghadapi ANBK serta mendukung peningkatan kualitas pendidikan di SMA Negeri 1 Pengasih.
Digital Marketing Strategy to Increase Product Selling Prices
Authors: Ridzal Nining Asniar , Sujana I Wayan , Malik Ernawati , Asrya Asrya , Kirana Laode Indra
Published: February 2025

This community service program aims to enhance the understanding and skills of MSME actors in Koholimombono Village in implementing digital marketing strategies to increase product selling prices. In the digital era, technology-based marketing plays a crucial role in expanding market reach and improving business competitiveness. However, many MSMEs still rely on conventional marketing methods due to limited knowledge and resources. The method used in this program includes seminars, hands-on training, and practical sessions covering the use of social media for marketing, cost-based and value-added pricing techniques, and product innovation to enhance market appeal. Evaluation results show that 80% of participants understood and successfully implemented digital marketing strategies in their businesses. Additionally, there was a significant increase in awareness of the importance of digitalization in marketing and improved skills in determining competitive selling prices. This program not only provides short-term benefits through increased knowledge but also involves continuous monitoring and mentoring sessions to ensure the effective implementation of digital strategies. Thus, this initiative contributes to local economic growth by enhancing MSME competitiveness.
The Impact of Digital Storytelling Applications on Enhancing Critical Thinking Abilities in Higher Education Students
Authors: Rosyid Abdur , Nur Fauzia  , Darma Diana Budi , Abida Fithriyah Inda Nur , Iye Risman
Published: February 2025

This study aims to examine the impact of using digital storytelling applications on the development of students' critical thinking skills within a learning context. It employs a qualitative approach, using observation, interviews, and document analysis to gather data. 46 students are participated in a digital storytelling project for 1 semester that required them to organize, analyze, and critically present information using digital applications such as Adobe Spark and Canva. The findings indicate that the use of digital storytelling applications significantly contributes to the development of students' critical thinking skills. These applications enable students to integrate various media—such as text, images, audio, and video—encouraging them to think critically about the most effective way to convey messages. Additionally, digital storytelling applications prompt students to evaluate information more thoroughly, develop strong arguments, and present them creatively and logically. Based on the research data, digital storytelling applications are also shown to be effective in enhancing students' critical thinking skills and hold potential for broader integration into education as innovative and interactive learning tools.
Penguatan Pariwisata Lokal melalui Pembelajaran Bahasa Inggris Berbasis LMS Moodle untuk Kelompok Sadar Wisata (Pokdarwis) Desa Bulue
Authors: Rauf Wahyuddin , Idham Afif Zuhdy , Chandra Ade
Published: February 2025

Program pelatihan bahasa Inggris berbasis LSM Moodle ini bertujuan untuk meningkatkan keterampilan komunikasi anggota POKDARWIS dengan menggunakan platform Moodle. Moodle adalah platform pembelajaran yang mendukung pembelajaran baik secara bauran/blended maupun full online yang interaktif, fleksibel, dan dapat diakses kapan saja. Sebanyak 17 peserta mengikuti pelatihan yang terdiri dari lima tahap: sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Materi meliputi sapaan, perkenalan, deskripsi tempat wisata, etiket budaya, dan menangani keluhan wisatawan. Metode blended learning digunakan dengan kombinasi pembelajaran mandiri melalui LSM Moodle dan sesi praktik langsung. Namun selama implementasi, beberapa kendala yang dihadapi meliputi keterbatasan akses internet di beberapa titik lokasi mitra, kesenjangan keterampilan teknologi peserta, serta adaptasi terhadap metode pembelajaran baru. Dengan menyediakan materi yang dapat diakses secara offline, serta pendampingan yang intensif, hasil menunjukkan peningkatan signifikan pada kemampuan bahasa Inggris, dengan rata-rata skor post-test mencapai 84%, dibandingkan pre-test sebesar 43%. Selain itu, penguasaan teknologi oleh peserta meningkat, dengan 90% peserta merasa lebih percaya diri menggunakan teknologi dalam pekerjaan mereka. Program ini berhasil memperbaiki kualitas layanan wisata di Desa Bulue, meningkatkan profesionalisme anggota POKDARWIS, serta memberikan dampak ekonomi positif melalui peningkatan kunjungan wisatawan. Dengan demikian, pelatihan ini memberikan kontribusi nyata terhadap pengembangan pariwisata berbasis komunitas di Desa Bulue.
Pengaruh Motivasi Belajar dan Teman Sebaya Terhadap Minat Belajar Pendidikan Pancasila dan Kewarganegaraan
Authors: Nur Hidayah Rika , Sumardjoko Bambang , Subowo Arif
Published: February 2025

Interest has a big influence in the learning process, without interest, students will not be able to learn well. The purpose of this research was to determine the effect of learning motivation and peers on the interest in learning Pancasila and Civic Education of students at State Junior High Schools in Ngrampal District. The method used in this study is a quantitative method with a correlational research type. The population in this study consisted of 1,265 students from two schools, namely State Junior High School 1 Ngrampal and State Junior High School 2 Ngrampal, with a sample of 127 students. The results of this study are that learning motivation influences learning interest with a significance of 0.000 <0.05. Peers influence learning interest with a significance of 0.003 <0.05. Learning motivation and peers influence students' learning interest with a significance of 0.000 <0.05, and an influence of 51,6% in increasing students' learning interest, so that if students have strong learning motivation and receive peer support, students' learning interest will be high.
Enhancing Eco-Facilitator Competencies through Interactive E-Workbook Development: A Study Using the ADDIE Model
Authors: Wongsonadi Sri Kuswantono , Hikmah Hikmah , Lestari Retno Dwi , Putra Nararia Hutama
Published: February 2025

This study evaluates the effectiveness of an interactive e-workbook designed to enhance the competencies of eco-facilitators in environmental education. Using a pretest-posttest design, we assessed improvements in key competencies, including facilitating sustainable behaviors, practical environmental skills, and theoretical knowledge. The results show significant increases in posttest scores across all measured domains, with the greatest gains observed in facilitating eco-friendly learning activities and designing sustainable projects. Statistical analyses, including paired t-tests and Cohen’s d, confirmed a substantial impact, with an effect size of 39.63, highlighting the e-workbook's practical significance in skill enhancement. User satisfaction and usability assessments revealed high engagement with the content and functional accessibility, though minor areas for improvement were identified. These findings underscore the potential of interactive e-learning tools in supporting eco-facilitators to promote environmental literacy and sustainable practices. This research provides valuable insights into digital education strategies for environmental professionals and suggests opportunities for further refinement and broader application in diverse educational settings.
Pattern-based spatial analysis in R: an introduction
Authors: Nowosad Jakub
Published: February 2025

TLTR:

motif

is an R package aimed for pattern-based spatial analysis. It allows for spatial analysis such as search, change detection, and clustering to be performed on spatial patterns. This blog post introduces basic ideas behind the pattern-based spatial analysis, and shows the types of problems to which it can be applied.
Intro to R workshop
Authors: Nowosad Jakub
Published: February 2025

Last week, I had a pleasure to conduct a workshop for graduate students and faculty in the Department of Geography and GIS at the University of Cincinnati.
Making maps of the USA with R: alternative layout
Authors: Nowosad Jakub
Published: February 2025

Update (2018-12-12):

Alternative approach to this problem can be found at https://github.com/Nowosad/us-map-alternative-layout. Introduction Maps of United States often focus only on the contiguous 48 states. In many maps Alaska and Hawaii are simply not shown or are displayed at different geographic scales than the main map.
Pattern-based regionalization
Authors: Nowosad Jakub
Published: February 2025

Blog posts in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis: GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis Pattern-based Spatial Analysis - core ideas Finding similar local landscapes Quantifying temporal change of landscape pattern Pattern-based regionalization Moving beyond pattern-based analysis: Additional applications of GeoPAT 2 This is a fifth blog post in the series
Evaluation of the new palette() for R
Authors: Nowosad Jakub
Published: February 2025

R version 4.0 is just around the corner. One of the changes in the new version is the improved default color palette using the palette() function.
Pattern-based Spatial Analysis - core ideas
Authors: Nowosad Jakub
Published: February 2025

Blog posts in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis: GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis Pattern-based Spatial Analysis - core ideas Finding similar local landscapes Quantifying temporal change of landscape pattern Pattern-based regionalization Moving beyond pattern-based analysis: Additional applications of GeoPAT 2 This is a second blog post in the series
Quantifying temporal change of landscape pattern
Authors: Nowosad Jakub
Published: February 2025

Blog posts in the series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis: GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis Pattern-based Spatial Analysis - core ideas Finding similar local landscapes Quantifying temporal change of landscape pattern Pattern-based regionalization Moving beyond pattern-based analysis: Additional applications of GeoPAT 2 This is a fourth blog post in the series
How to calculate landscape metrics for local landscapes?
Authors: Nowosad Jakub
Published: February 2025

In the last few weeks, I was asked a similar question several times - how to calculate landscape metrics for local landscapes? In other words, how to divide the categorical input map into a number of smaller areas, and next calculate selected landscape metrics for each of the areas. Those areas have many names, such as tiles, squares, or motifels.
World population growth through time
Authors: Nowosad Jakub
Published: February 2025

A few months ago I have made an attempt to visualize the world population changes from 1800 to 2100: {{% tweet "1049685831475187712" %}} This way of visualization is good to show the ever-changing distribution of the population on a global scale. It allows seeing that, China and India dominated the world population, but also a large share of the world population had lived in Europe in 1800.
Geocomputation with R - the intermission
Authors: Nowosad Jakub
Published: February 2025

Hello everybody! A lot of things have changed since the last blogpost about Geocomputation with R. In this post I’ll give an update of our progress and our plans for the next chapters. Third author Probably the most important change is having a third author - Jannes Muenchow. He is a GIScientist based at the University of Jena with a keen interest in spatial and geostatistical modeling, algorithm automation and geocomputation.
Life (expectancy), animated
Authors: Nowosad Jakub
Published: February 2025

Global socio-economic data is easily accessible nowadays. Just type the indicator of interest and the name of the country in your preferred search engine and you can find its value, sometimes also an additional plot or a map. But what about when you want to go further and (for example): Want to compare many countries? Get data just for a specific year? See changes in time? Just want to create a very specific plot or a map?
Geocomputation with R - the afterword
Authors: Nowosad Jakub
Published: February 2025

I am extremely proud to announce that Geocomputation with R is complete. It took Robin, Jannes, and me almost 2 years of collaborative planning, writing, refinement, and deployment to make the book available for anyone interested in open source, command-line approaches for handling geographic data.
Geocomputation with R - the beginnings
Authors: Nowosad Jakub
Published: February 2025

Just over one year ago, I met Robin in Poznan, Poland, who was teaching as part of the GEOCENTRUM project at the Adam Mickiewicz University. To our surprise, we found that we shared an idea of writing a book explaining how to use R for spatial data analysis. The timing worked well.
RAČUNOVODSTVENI OBUHVAT UPRAVLJANJA KRUŽENJEM KAPITALA
Authors: Spremo Radovan
Published: February 2025

Osnivač ima obavezu da novoosnovanom preduzeću obezbijedi neophodna sredstva. Obezbeđenje sredstava odnosno pribavljanje može da bude iz vlastite akumulacije tj. potiču iz sopstvenih izvora, i pozajmljenih sredstva, a to su tuđi izvori odnosno pozajmljeni kapital. Sopstveni kapital preduzeća se naziva i neto imovinom ili čista imovina. Zavisno od pravne forme preduzeća zavisi način pribavl- janja sopstvenih sredstava. Polazeći od ove činjenice i drugih kriterija zakonom propisanih, razlikuju se sledeće pravne forme preduzeća: inokosna preduzeća, društva lica, drustvo kapitala. Sredstva koja potiču iz pozajmljenih izvora stoje na raspolaganju preduzeću, u skladu sa ugovorom u kome su rokovi precizirani i kamata na njihovo korištenje. Pozajmljeni izvori su prvenstveno krediti banaka i drugih finansijskih institucija te emitovanje kreditnih hartija od vrijednosti kao što su obveznica. Zavisno od roka dospjeća, pozajmljene izvore dijelimo na kratkoročne i dugoročne kredite i tekuće obaveze.
LIMNOLOGICAL ANALYSIS AND DETERIORATING IMPACT ON WATER QUALITY OF YAMUNA RIVER AT AGRA REGION
Authors: Neha Tripathi  , Vishwakant
Published: February 2025

Our present study was focused on find out to analyses of Samples taken from the Yamuna River in both rural and urban regions of the Agra region were analysed for their physicochemical characteristics. Such sampling sites belong to 3 locations water samples were collected from 3 urban and rural as Kailash Ghat, Rambagh, Bateshwar Ghat of Agra region. Throughout this study water samples were collected during summer, winter and monsoon season and Pressures in lab and analysed. The research was done for the parameters like pH, DO, BOD, COD, TDS, Total Hardness during this pH determine that water of Yamuna river is alkaline disposition. Perceptively the nature of all the parameter appeared in disparate, which determine the purity and impurity of Yamuna river at various locations. Along with this, it was also analyzed that what effect it has on the aquatic animals living in the Yamuna water, it was evaluated. The observation was done for the period of April 2022 to February 2023 indicated. During this anlaysed such component was used to identify the presumable sources of defilement and to evaluate the spherical changes of water quality in Yamuna river.
OBSERVATIONS ON THE MEDICINAL FLORA OF GARHMUKTESHWAR DISTRICT HAPUR IN UTTAR PRADESH STATE OF INDIA
Authors: Navjot Singh  , Bhupesh Gupta  , Surbhi Mittal
Published: February 2025

One of the most important parts of any healthcare system is the availability of therapeutically active medications, and medicinal plants provide just that. A vital component of Indian culture and heritage for countless generations is the Indian medical system. Traditional healers (vaidya, hakims) who are similar to modern doctors employed plant-based remedies extensively for the treatment, prevention, and amelioration of both acute and chronic human ailments. India ranks high among Asian nations when it comes to the accumulation of traditional knowledge. Traditional medicine encompasses both structured systems, like Ayurveda, Siddha, Unani, and Greek medicine, and more informal systems, like indigenous, folk, or tribal medicine. All around the globe, traditional medical systems have relied heavily on medicinal plants. Plant medicines play an important role in the Indian medical traditions of Ayurveda, Siddha, and Unani. Among the many plant species found in Uttar Pradesh's Hapur district are several with strong potential as medical remedies. This study delves into the traditional knowledge and medical usage of plants found in the Garhmukteshwar District of Hapur.To understand different ecosystems, one must be familiar with the floristic and vegetative composition of any given area. In order to periodically monitor and evaluate the floristic composition of the region, this is essential for taxonomic field workers. Numerous reclassifications and abundant new plant species have emerged in the years following the release of Sir J. D. Hooker's "The Flora of British India" (1872–1897). Much focus has been placed on an exhaustive study of native floras since the reopening of the Botanical Survey of India in 1954. "Our universities can do excellent work in the selected areas in the neighbourhood of their headquarters," Santapau (1958) proposed. In the silver anniversary edition of "Botanica," Maheshwari (1975) also made remarks and suggestions along these lines. There is a lot of room for improvement in the current state of plant exploration in our nation, and a lot of attractive places and districts that may benefit from more thorough studies of distribution and phenology of various taxa. Consequently, the research being conducted here focuses on the flora of the recently formed district of Hapur. Although Charak was cognizant of the abundance of medicinal plants in the Himalayas, he produced the Ayurveda in the lower Ganga valley. The Charak Samhita states that the entire Himalayan region is a veritable treasure trove of therapeutic plants (Agrawal 1997, Agrawal et al., 2007).
Thermal Effects on the Structural and Mechanical Microstructure Parameters of Siliceous Sandstone from Kielce Upland
Authors: Pachnicz Michał Patryk
Published: February 2025

This study explores the thermal evolution of the microstructure and mechanical properties of Jurassic sandstone from the Kielce Upland, subjected to temperatures between 20°C and 1000°C. Combining microcomputed tomography (micro-CT) and nanoindentation techniques, it analyzes how geometric changes affect mechanical parameters. Key features like porosity, pore size distribution, and solid matrix thickness were assessed alongside indentation modulus (MIT) and hardness (HIT). The results reveal a strong correlation between microstructural changes and mechanical responses. At 200°C, microstructural compaction and thermal tightening lead to temporary strengthening. Above 600°C, increased porosity, microcrack formation, and rock matrix degradation cause significant reductions in mechanical properties. Reconstructed grayscale values are identified as reliable estimators for mechanical property changes, particularly for indentation modulus, when baseline parameters are available.
Waqf Law in the Muslim World: A Study of the Organization and Administration of Waqf in Tunisia
Authors: Cipto Sembodo  , Zainul Arifin  , Ahmad Syafii Rahman  , Supriati Hardi Rahayu
Published: February 2025

This research examines Islamic waqf in Tunisia, a topic that is rarely discussed in contemporary studies, especially from a historical and sociological perspective. Most of the existing studies focus more on normative aspects such as the laws, conditions, and pillars of waqf. In contrast, empirical research looking at the historical and sociological aspects of Islamic waqf is limited to local cases. Tunisia, which is known to be liberal in Islamic law reform, especially in the field of family law, rarely has in-depth studies on waqf. The purpose of this study is to analyse the organisation and administration of waqf in Tunisia and its impact on society. The research uses the literature method with a normative juridical approach which is descriptive analytical in nature. The results show that the organisation and administration of waqf in Tunisia are influenced by internal Muslim factors as well as government policies. The government, in particular, has a very dominant influence in the process. There are two main motivations from the ruling party: first, economic motivation that emerged since the French protectorate, which encouraged economic capitalisation; second, political motivation that initially supported certain political processes, but later developed for other political interests, as happened during the time of President Habib Bourguiba. The practice of waqf administration in Tunisia mostly involves administrative reform efforts in the broader context of Islamic law. Although there is no clear form of productive waqf, waqf in Tunisia has evolved in terms of its form and implementation mechanism in a more professional manner.
Design Of A Mobile-Based Information System For Service Ordering At Teguh Design Printing And Screen Printing Services
Authors: Mahfudz Muhammad Syah Farros , Mutiara Handayani Ujianti
Published: February 2025

This study aims to design a mobile-based information system for service ordering at Teguh Design, a printing and screen-printing business. The primary issue identified is the absence of an effective information system, as current ordering processes rely on manual methods, leading to potential data loss and record-keeping errors. Data collection methods included direct observation of the existing system, interviews with stakeholders, and a literature review to support analysis. The findings reveal that the current ordering system is inefficient and prone to errors, impacting customer satisfaction and company performance. Consequently, the implementation of a structured, mobile-based information system is essential to enhance operational efficiency and service quality. With the new system, orders can be placed online, allowing customers to make reservations more easily and quickly. Additionally, the system will improve data management, ensuring greater accuracy and security. Recommendations include employee training, regular monitoring and evaluation, and collaboration with relevant stakeholders to optimize system development. These steps are expected to enhance Teguh Design's competitiveness in the market.
Improving Resnet Model In Safety Gear Classification Using Finest Optimizer
Authors: Robet  , Johanes Terang Kita Perangin Angin  , Edi Wijaya
Published: February 2025

The Occupational accidents that occur in the work environment are increasing day by day. This is caused by workers' non-compliance with the established work safety equipment. Although the supervision of the use of work safety equipment has been carried out, it is still done manually involving less effective human resources. Therefore, it is necessary to develop an intelligent model that can classify the use of work safety equipment more accurately. This study uses the pre-trained ResNet50 model and is combined with the best optimization model to improve accuracy. The results of the study showed that the RMSProp optimization model has better performance with an accuracy value of 97.01% in the 17th epoch of 50 epochs of data training and with training loss and validation loss values ​​of 0.3268 and 0.145, respectively. Testing of 20 images with each image, 10 images using safety equipment, and 10 images not using safety equipment can be classified correctly.
Design of a Website-Based Field Rental Information System for Rajawali Futsal
Authors: Bachtiar Galuh , Riyanto
Published: February 2025

This study aims to design and develop a field rental information system for Rajawali Futsal, which has been relying on manual methods for administration and data recording. The manual method often leads to data management errors and inefficiencies in customer service. One of the main issues identified is the inconvenience for customers who need to visit the location in person to make a reservation, which causes time constraints and discomfort. Additionally, the manual handling of financial reports makes it difficult for the management to obtain accurate and timely reports.
To address these issues, this study adopts the Waterfall system design methodology, which includes the stages of requirements analysis, system design, implementation, and testing. The system designed in this research aims to improve the efficiency and accuracy of the field rental process and data management. With the website-based system, customers can make field reservations online, choose available times and fields, and make payments without having to visit the location. Additionally, the system includes a financial reporting feature that allows the management to monitor and evaluate transactions in real-time and in a more structured manner.
The results of this study show that the implementation of a website-based information system can improve the ease of field rental processes, reduce data recording errors, and speed up the management of financial data. With this integrated system, it is expected that customer satisfaction will increase and the operational management of Rajawali Futsal will become more efficient and effective.
Comparative Analysis of Model Architectures Using Transfer Learning Approach in Convolutional Neural Networks for Traditional Ulos Fabric Classification
Authors: Abdullah Taufik , Saputra S Kana , Syahputra Hermawan , Indra Zulfahmi , Kartika Dinda
Published: February 2025

Ulos cloth is a traditional woven fabric of the Batak tribe in North Sumatra, valued for its aesthetic and symbolic significance in various ceremonies. The diversity of ulos motifs presents challenges in preservation due to their unique patterns and functions. This study aims to develop an accurate method for classifying ulos motifs using Transfer Learning on Convolutional Neural Network (CNN) architectures. Five popular models—VGG16, VGG19, MobileNetV3, Inception-V3, and EfficientNetV2—were evaluated on a dataset of 962 ulos images across six motif categories.The results show that Inception-V3 outperformed other models with an average validation accuracy of 98.13% and the lowest loss of 5.67%. Inception-V3 also demonstrated superior generalization, achieving the highest K-fold validation accuracy, while VGG16 and VGG19 exhibited overfitting at higher learning rates. Two-way ANOVA analysis confirmed significant performance differences among the models and highlighted the interaction between model type and training methods. This research recommends Inception-V3 as the optimal model for ulos motif classification, offering an efficient and reliable tool to support cultural preservation through advanced image recognition technology.
Track Record Model in Employee Performance Optimization Using Weight Product Method
Authors: Safrizal  , Lili Tanti  , Surbakti Dio Febrian , Nurainun
Published: February 2025

Employee performance improvement is a crucial aspect for the growth and success of a company, especially in the agricultural sector that relies on the quality and competence of human resources. However, subjective and manual employee assessments often face challenges, such as high levels of subjectivity and the time required to complete the process. To overcome these obstacles, this study proposes the use of the Weighted Product (WP) method as an approach to building a track record model in employee performance assessment. This study involves several methodological stages, first by studying the literature related to decision support systems, WP methods, track records, and employee performance assessments. Furthermore, data collection is carried out from a dataset that includes monthly assessments of employee performance based on several criteria such as attendance, cooperation, work quantity, responsibility, and others. The next process involves modeling, where the WP model is designed to produce the maximum total value of the existing assessment criteria. Model validation is carried out through two approaches, namely the Criterion-related Validity Test and the Internal Consistency Test. The test results show that the WP model has a Criterion-related Validity of 0.9851, indicating a strong relationship between the employee scores generated and the assessments given by the supervisor. In addition, Cronbach's alpha reached a value of 1.0, indicating excellent internal reliability of the model. Thus, the use of the WP method in the employee performance tracking system can be considered effective and can improve objectivity and efficiency in employee performance assessment in the context of agricultural companies. This method not only helps in identifying high-performing employees, but also in motivating them to achieve the highest performance standards, which in turn can improve the overall operational quality and reputation of the company
Designing a Web-Based Student Attendance System for Madrasah Ibtidaiyah Al Hikmah Debong
Authors: Moh. Rival Ghulam Khadiri  , Wahyu Krishantoro
Published: February 2025

Monitoring student attendance at school is a shared responsibility between the school and parents or guardians. However, the manual attendance system currently in use often leads to issues, such as students being absent without permission and going unnoticed. For instance, a student may inform their parents that they are going to school but fail to attend classes. This situation raises serious concerns for both the school and parents, as it impacts student discipline and supervision.
To address these issues, a web-based student attendance system is required to monitor attendance more effectively and in real time. This system is designed with the primary goal of enhancing the efficiency of attendance data management, minimizing human errors in attendance recording, and providing convenience for parents and school administrators in monitoring student attendance.
This study aims to contribute to the field of education by developing a modern, efficient, and integrated attendance tracking technology. The proposed web-based attendance system not only automatically records student attendance but also generates accurate attendance reports that can be accessed anytime by relevant stakeholders. Therefore, this system is expected to improve transparency, effectiveness, and accountability in supervising student attendance at Madrasah Ibtidaiyah Al Hikmah Debong.
Design of a Web-Based Inventory Management System for the Nutrition Installation at Harapan Sehat Hospital, Jatibarang
Authors: Yuniarti Deni , Jaka Subrata
Published: February 2025

The rapid development of information technology has had a significant impact on various sectors, particularly in business and economics. In the context of data management within companies, inventory systems play a crucial role in minimizing the potential manipulation of company assets. The inventory management system, which was originally handled manually, has now evolved into a website-based system. The main goal of this development is to reduce human error and increase efficiency in recording the flow of goods in and out. This system, designed specifically for the Nutrition Installation at Harapan Sehat Hospital in Jatibarang, aims to assist staff in efficiently recording and managing inventory while generating accurate reports based on the required data. The website is built using MySQL as the database for storing inventory information, with CSS and HTML for the interface, and PHP as the programming language to implement the system's functionality. This research employs a qualitative analysis approach, with data collection techniques including observations and interviews for primary data, as well as notes, books, and documents related to inventory as secondary data. It is expected that this inventory management system will effectively support inventory management needs at Harapan Sehat Hospital in Jatibarang, facilitating more efficient and accurate inventory control.
Comparison of Sentiment Analysis Models Enhanced by Naïve Bayes and Support Vector Machine Algorithms on Mobile Banking BRImo Reviews
Authors: Ramadan Muhamad Firly , Martanto  , Dikananda Arif Rinaldi , Rifa'i Ahmad
Published: February 2025

This study compares the effectiveness of the Support Vector Machine (SVM) and Naïve Bayes algorithms in classifying user sentiment regarding the BRImo application. User reviews were obtained from the Google Play Store platform and underwent a text preprocessing stage to clean and prepare the data. Subsequently, the SVM and Naïve Bayes algorithms were applied for sentiment analysis, using evaluation metrics such as accuracy, precision, recall, and F1-score. The results show that SVM achieved a training accuracy of 95.67% and a testing accuracy of 83.11%, with its best performance on positive sentiment (precision 92.26%, recall 91.79%, F1-score 92.02%) and moderate performance on negative sentiment (precision 62.81%, recall 62.81%, F1-score 62.81%). Meanwhile, Naïve Bayes recorded a training accuracy of 95.23% and a testing accuracy of 82.77%, with its highest performance on positive sentiment (precision 90.12%, recall 93.38%, F1-score 91.72%) but lower performance on negative sentiment (precision 65.07%, recall 60.06%, F1-score 62.46%). In terms of sentiment distribution, SVM was more effective in handling sentiment variations, particularly in detecting negative and neutral sentiments. These findings indicate that SVM outperforms Naïve Bayes in sentiment analysis of user reviews for the BRImo application.
House Price Prediction Analysis Using a Comparison of Machine Learning Algorithms in the Jabodetabek Area
Authors: Ningsih Indah Ratna , Faqih Ahmad , Rinaldi Ade Rizki
Published: February 2025

Jabodetabek, as the largest metropolitan area in Indonesia, has complex property price dynamics, making it difficult for developers and buyers to determine house prices. This study aims to analyze and compare  the performance of the Multiple Linear Regression and Random Forest Regression algorithms in predicting house prices in the region. The data was obtained through scraping techniques from the rumah123.com website in October 2024, covering 999 data points with variables such as price, location, building area, land area, number of bedrooms, bathrooms, and garages. A comparative approach with cross-validation was applied to evaluate the performance of both algorithms using the metrics MAE, MSE, RMSE, MAPE, and R². The research results show that Random Forest Regression using GridsearchCV has better predictive performance, with an MAE value of Rp.645,764,815, MAPE of 28.12%, and R² of 0.864. The main factors influencing house prices in Jabodetabek include building size, land size, number of bedrooms, bathrooms, garages, and location. This finding emphasizes the superiority of Random Forest Regression in capturing complex data patterns and the significant role of these variables in determining house prices.
Application of Neural Network to Predict Rupiah Exchange Rate Against Korean Won
Authors: Saeful Agung , Dwilestari Gifthera , Rinaldi Ade Rizki
Published: February 2025

This study investigates the application of neural networks for predicting the exchange rate of the Indonesian Rupiah against the Korean Won, addressing the challenges posed by currency fluctuations in international trade and investment. The research employs a data mining approach utilizing historical exchange rate data, which allows the neural network to identify complex patterns that traditional forecasting methods may miss. The model is developed using RapidMiner software, facilitating data preprocessing, transformation, and evaluation. The outcomes show that the predictions were quite accurate, as indicated by a low prediction error rate. The findings suggest that the neural network model not only provides reliable forecasts but also maintains consistent performance over time. This research contributes to the growing field of artificial intelligence in finance, highlighting the potential of advanced predictive models to enhance decision-making processes in the context of global economic interactions. The study underscores the importance of integrating technology with economic analysis to better navigate the complexities of currency exchange and its implications for financial risk management.