bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing the Decline of Luxury Women’s Shoe Brands in China: A Market Analysis – Based Study of STUART WEITZMAN
Authors: Hu Ruixi
Published: August 2024

The luxury goods industry has always been a highly anticipated area in the market. With the development of the global economy and the improvement of people's living standards, the luxury goods market has also flourished. However, overall, according to the quarterly or fiscal annual reports released by major luxury brands in the luxury industry in recent years, their common characteristic is the sharp decline in revenue in China; from a regional perspective, the decline in sales in China has the greatest impact on the decreasing total revenue of brands over the years. Such as STUART WEITZMAN, the representative head luxury women's shoe brand, total direct sales, which include stores and e-commerce, in FY23 both declined by as much as 24% compared to FY22. This article takes STUART WEITZMAN as an example to study the specific reasons for the decline in sales volume of luxury in China market in recent years compared to previous years. This study uses the market mix model to analyze STUART WEITZMAN 's marketing strategy in the market, Using the PEST model to analyze the macro environment, Use SWOT to analyze the internal and external environment of STUART WEITZMAN. Research has found that the main reason for the decline in luxury goods sales in recent years is luxury brands have been raising prices, and consumers are psychologically unable to accept the increasing premium. The middle class is more inclined to consider practicality and cost-effectiveness, pursuing the ultimate cost-effectiveness. Secondly, consumers have more other options. In addition to luxury brands, high-end niche brands, designer brands, high-end custom brands, and traditional Chinese brands have also begun to be favored by luxury consumers. Finally, in the post pandemic era, outbound tourism has resumed, and consumers can purchase the same products overseas at more favorable prices.
Behavioral Intention to Adopt Artificial Intelligence in Educational Institutions: A Hybrid Modeling Approach
Authors: Ghimire Ashok , Imran Md Ahsan Ullah , Biswas Barna , Tiwari Anamika , Saha Sanchita
Published: August 2024

The introduction and implementation of Artificial Intelligence (AI) in higher education has brought out new opportunities and obstacles. The utilization of AI will result in a significant transformation of the governance structure within global higher educational institutions. The potential use of AI involves exploring the educational implications of how teachers may enhance their teaching methods, how students can improve their learning experience, and how institutions of higher education can make more accurate and timely judgments. This is significant because the workload has significantly increased as a result of the widespread expansion of higher education. Given the circumstances, AI assistance is crucial. The implementation of artificial intelligence in higher education is a significant matter in this context. The objective of this study is to investigate the feasibility of individuals adopting it. To do this, we have formulated hypotheses and a conceptual framework, which we then validated through a survey by obtaining feedback from a total of 240 respondents. Research has discovered that the model can assist authorities in promoting the implementation of artificial intelligence in higher education. The outcome of this study will help practitioners understand the insights of people’s intentions and psychology in adopting AI in educational sectors.
Implementasi Pengolahan Citra Digital dalam Pengenalan Wajah Menggunakan Contrast Stretching dan Algoritma Viola Jones
Authors: M.Iqbal M.Iqbal , Imrah Imrah Sari , Agung Agung Ramadhanu
Published: August 2024

Wajah manusia merupakan salah satu bagian penting pada tubuh yang mempunyai ciri khusus yang dapat membedakan seseorang. Perbedaan ciri dari wajah seseorang dapat diidentifikasi dengan sistem pengenalan wajah (face Recognition). Kemajuan teknologi dalam pengenalan wajah memberikan dampak dalam berbagai sektor seperti keamanan, keuangan, kesehatan dan hiburan. Penelitian ini melakukan Pengenalan wajah dengan mengimplentasikan pengolahan citra digital menggunakan contrast stretching dan algoritma viola jones untuk mendapatkan nilai akurasi yang baik dalam pengenalan wajah dengan bantuan aplikasi Matlab. Dari hasil penelitian dalam pengenalan wajah diperoleh hasil akurasi yang akurat yaitu mencapai 91,89% dan hasil identifikasi pengenalan wajah pada citra sesuai.
Dampak Pengambilan Sampel Data untuk Optimalisasi Data tidak seimbang pada Klasifikasi Penipuan Transaksi E-Commerce
Authors: Priatna Wowon
Published: August 2024

Tujuan dari penelitian ini adalah untuk mengatasi masalah pengklasifikasian dan prediksi data yang tidak seimbang terkait dengan kondisi transaksi E-Commerce. Menjamurnya transaksi e-commerce menimbulkan potensi permasalahan: penipuan dalam pembelian e-commerce. Kasus penipuan e-niaga terus meningkat setiap tahun sejak tahun 1993. Menurut survei tahun 2013, untuk setiap $100 transaksi e-niaga, terdapat kerugian sebesar 5,65 sen akibat penipuan. Mendeteksi penipuan merupakan pendekatan yang efektif untuk meminimalkan terjadinya aktivitas penipuan dalam transaksi e-commerce. Pembelajaran menjadi metode yang semakin dapat diandalkan untuk memprediksi keadaan. Tidak adanya keseimbangan antara data yang curang dan tidak curang mengakibatkan klasifikasi menjadi bias. Algoritma SMOTE diperlukan untuk mencapai keseimbangan data. Selanjutnya peristiwa transaksi akan diklasifikasikan menggunakan algoritma Support Vector Machine, K-Nearest Neighbor, Naive Bayes, dan C45, dengan mempertimbangkan hasil penyeimbangan data. Di antara algoritma SVM, KNN, dan C45, metode Naive Bayes menunjukkan nilai akurasi tertinggi. Oleh karena itu, disarankan untuk menggunakan teknik ini untuk tujuan mengidentifikasi kondisi e-commerce
Klasifikasi Citra Penyakit Tanaman pada Daun Paprika dengan Metode Transfer Learning Menggunakan DenseNet-201
Authors: Salim Vilvilia , Abdullah Asrul , Utami Putri Yuli
Published: August 2024

Penyakit bercak daun yang disebabkan oleh bakteri Xanthomonas campestris pv. vesicatoria merupakan salah satu penyakit penting pada tanaman paprika di Indonesia. Penyakit ini dapat menurunkan kualitas dan kuantitas hasil panen paprika. Metode yang digunakan yaitu transfer learning dengan menggunakan model DenseNet-201. Penelitian ini menggunakan data gambar daun paprika yang terinfeksi dan tidak terinfeksi sebanyak 4.876 gambar. Data tersebut dibagi menjadi data latih, data validasi, dan data uji.  Hasil penelitian menunjukkan bahwa model transfer learning mampu mendeteksi penyakit bercak daun pada paprika dengan akurasi keseluruhan sekitar 99.5%. Evaluasi model terhadap kelas “Bacterial Spot” dan “Healthy” menghasilkan precision, recall, dan F1-score rata-rata sekitar 99.5%. Penelitian ini menunjukkan bahwa metode transfer learning dapat digunakan sebagai sistem deteksi penyakit tanaman yang efektif dan efisien.
Estimasi Daya Aktif pada Gedung Bertingkat dengan menggunakan Time Series Neural Network
Authors: Armanto Ony , Novie Ayub Windarko  , Setiawardhana
Published: August 2024

Penggunaan energi listrik untuk kehidupan sehari – hari semakin meningkat tanpa adanya pengawasan dan pembatasan yang mengakibatkan penggunaan energi semakin semena – mena , penggunaan energi berlebihan juga disebabkan perkembangan teknologi yang semakin memudahkan pekerjaan manusia. Namun kebutuhan energi listrik yang besar tidak disertai dengan kapasitas energi listrik yang memadai. Oleh sebab itu diperlukan sebuah metode estimasi beban listrik jangka menengah dengan menggunakan Time Series Neural Network. Penelitian ini diharapkan dapat mengurangi jumlah energi listrik yang tidak terpakai dan digunakan se efisien mungkin. Pada penelitian ini menghasilkan nilai MAPE sebesar 5.36% dan nilai RMSE sebesar 9.2
Analisis Pola Musik Karawitan di Tengah Era Digital
Authors: Firman  , Firdaus  , Halim M. , Alfalah  , Sriyanto
Published: August 2024

Traditional arts, especially musical music, are facing challenges in the digital era and the influence of foreign cultures. Efforts continue to be made to combine technology with traditional arts. The method adopted in this research is library research, which involves collecting data and information in depth through various references such as books, magazines, other references, and research results. This research explains the adaptation of Karawitan music patterns to modern technology and its impact on the interests of the younger generation. Use of digital musical instruments to create innovative compositions that combine traditional elements with contemporary elements. The role of the community in supporting the preservation of Karawitan art is also emphasized, with active participation in traditional music events and efforts to promote the culture to others. In conclusion, this article emphasizes the complexity of the relationship between tradition and innovation in the context of Karawitan music in the era of modern technology.
Distributed Systems for Data-Intensive Computing in Cloud Environments: A Review of Big Data Analytics and Data Management
Authors: Zeravan Arif  , Subhi R. M. Zeebaree
Published: August 2024

Because of the increasing increase of data, which is frequently referred to as "big data," many different businesses have been severely impacted in recent years, necessitating the implementation of sophisticated data management and analytics solutions. By virtue of the fact that it provides scalable resources for applications that are data-intensive, cloud computing has emerged as an indispensable platform for the management of these enormous databases. The evolving landscape of distributed systems in cloud settings is the primary emphasis of this study, which is situated within the framework of big data analytics and data management. With the purpose of providing a comprehensive overview of distributed systems that are used in cloud settings for data-intensive computing, the review article seeks to offer. Furthermore, it evaluates the many ideas, techniques, and technical improvements that have been established in order to properly manage, store, and analyse large amounts of data. A comprehensive literature evaluation of recently published scientific references was successfully completed by our team. The analysis takes into account the theoretical foundations, as well as the research that has already been conducted on distributed computing systems, cloud-based data management, and enormous data analytics. The study places an emphasis on the significant role that distributed computing plays in ensuring the success of big data analytics. The interplay between distributed systems and cloud computing paradigms has resulted in the development of solutions that are robust, scalable, and economical for activities that need a significant amount of data. It is still a huge problem to ensure that data security, privacy, and interoperability are maintained across the many cloud services.
Deep Learning Algorithms for Detecting and Mitigating DDoS Attacks
Authors: Hamad Soran , Askar Shavan , Sami Khoshaba Farah , Maghdid Sozan , Abdullah Nihad
Published: August 2024

Raising the threat of Distributed Denial of Service (DDoS) attacks means that high and adapted detection tools are required now more than ever. This research focuses on exploring the latest solutions in preventing DDoS attacks and emphasizes how Artificial Intelligence (AI) is involved in enhancing end-to-end detection techniques. Through the analysis of several key approaches, this work notes that AI-guided models quickly identify and counteract any unusual traffic patterns that may indicate an oncoming DDoS attack. Essential aspects towards creating more resilient networks against such attacks include machine learning algorithms, sophisticated data analytics together with AI based detection systems for traffic pattern recognition. Importantly, AI does well in behavioral analysis because it can distinguish and adapt to changing attack vectors. Additionally, it puts AI into perspective as making positive mitigation strategies possible that contain quick interferences such as temporary halt of traffic, rerouting and targeted block listing with real time control panel operations. On the contrary, current DDoS detection prevention techniques remain critically addressed of persistent challenges and limitations fundamental to them. From what emerges, they should always be ready for innovation and improvement because of how attacks might evolve over time. This paper aligns itself with the position that AI-driven detection mechanisms are natural to network security against DDoS attacks. It underlines the importance of integrating AI-based solutions with conventional practices in order to enhance network resilience and efficiently counteract cyber threats that are evolving all the time.
Economic Analysis of PV-Utility Grid Hybrid Electric Vehicle Charging Station in Mandalay City
Authors: Soe Soe Than  , Swe Wunna
Published: August 2024

Electric vehicles (EVs) are catching on everywhere worldwide. Building more clean energy infrastructure for EVs could help lessen greenhouse gas emissions and make city air cleaner. EVs charged with electricity from solar panels emit fewer pollutants compared to those charged with grid electricity. Therefore, combining solar power with EV charging stations could be a good way to promote sustainable development in the EV market. Despite rapid EV adoption in Mandalay, the charging infrastructure remains limited, mostly stations reliant on grid electricity. In this paper, the proposed system integrates photovoltaic technology with the existing utility grid infrastructure of EV charging station at the corner of 78th road & 101st road in Mandalay city, Myanmar. HOMER Grid is utilized to analyze the economic feasibility. The results of the proposed system describe that the cost of energy (COE) is reduced by $0.05/kWh. Additionally, the integrated system incurs fewer costs and generates more profits.
Analysis of The Quality of Plastic Sack Products using the Statistical Quality Control (SQC) Method
Authors: Rizquina Aldila Putri  , Donoriyanto Dwi Sukma
Published: August 2024

PT. XYZ is a PT work unit manufacturing company. Perkebunan Nusantara I Regional 4 is engaged in the plastic sack industry which produces 2 products, namely outer bags and inner bags. The research carried out aims to determine and measure the level of product quality and provide appropriate product improvement suggestions for quality control problems in plastic sack products in PT. XYZ. The method used is Statistical Quality Control (SQC). Based on the results of research on Statistical Quality Control (SQC), there are 5 production stations and there are each type of defect at each production station. The defects that affect product quality are 14,541 kg of holey film defects, 13,849 kg of uneven threads, 22,706 kg of outgoing threads, 17,876 kg of jagged webbing, 10,186 kg of misprinting, 8,846 kg of faded colors, 11,323 kg of inner holes. , and opened seal of 3,206 kg. There are suggestions for improvements that can be proposed for each defect by adjusting the factors in the fishbone diagram.
A Review on Heart Disease Detection Classification Based on Deep Learning Algorithm
Authors: Jalal Dimen , Abdulazeez Adnan Mohsin
Published: August 2024

Heart disease it is one of the main causes of death in the globe. Heart illness encompasses a spectrum of disorders that impact the heart, its blood arteries, and its overall functionality. Also referred to as cardiovascular disease. This paper investigates the potential benefits of deep learning (DL) architectures for improving diagnostic accuracy addressing the critical need for improved diagnosis of cardiac disease, and the difficulties associated with applying DL methods for heart disease identification. This survey study highlights the important role that DL plays in cardiovascular diagnostics from a number of tasks like as diagnosing, predicting, and classifying heart diseases. Convolutional Neural Networks (CNNs), a type of deep learning, are being used in the context of heart illness with the primary goal of creating accurate and dependable models for the identification, diagnosis, and prognosis of various heart-related disorders.
The Morning Star in Semba Scarves as a Source of Ideas For Creating Batik Motifs for Casual Wear
Authors: Firdaus Roihatal Jannati , Sudarwanto Aan
Published: August 2024

This Final Project entitled "The Morning Star in Semba Scarves as a Source of Ideas For Creating Batik Motifs for Casual Wear". The source of the idea that forms the basis for the creation of works is the weaving craft of the NTT region, especially the Ende region, namely Selendang Semba. On the Semba scarf there is a Morning Star motif which as a unique character so that the creators want to make it an idea for creating batik motifs. The purpose of creating this final project is to apply the Morning Star motif found in the Semba scarf into casual clothing for young women aged 17 year sand over. The methods used in making this work are expression, technique and creation. The process of making batik designs using the strongest character-taking technique found in the semba shawl becomes a batik motif. The making of the batik works uses the written batik process followed by the coloring process in the form of dyed caps with artificial dyes, namely napthol and remashol. The material in the work uses primissima cloth, atype of princess dance, whichhasa smooth character, dense fibers, easily absorbs sweat so it is comfortable when used as casual clothing. The output of this Final Project is in the form of 4 works of women's casual clothing, a fashion catalog, a teaser for the final work process and as cientificarticle. This work is titled "Abhita" and has different titles in each of his works, the clothes are titled : Asha, Sachi, Trisha, Agni.
WOMEN CASUAL CLOTHES WITH TEACHING BATIK MOTIF PRINCE OF SAMUDRA AT MOUNT KEMUKUS
Authors: Wati Bintang Kusuma , Andini Bertha Galuh
Published: August 2024

Prince Samudra teachings on Mount Kemukus covering agriculture, culture, martial arts and Islamic religious knowledge are works of art that are applied to adult women's casual clothing, with this final project the author wants to bring and introduce to the general public through fashion trends. The process of creating a work starts from the exploration stage (searching for sources of ideas, concepts, and the basis for creation), design (the design of the work), and embodiment (making the work). The process of making works of art goes through the initial stages of making designs, making patterns, preparing tools and materials, scraping, printing, dyeing colors. sewing and finishing. The technique used in this work is hand-drawn batik using night wax as the main tool, canting, primisima cloth " Golden chariot" and naptol dye. The results in the creation of this work are 5 adult women's casual clothing which are titled according to the symbolic philosophy and meaning implied in each motif, namely work 1 with the title Pulun, work 2 with the title Anacara, work 3 with the title Adisaktiman, work 4 with the title Smara Religion, and 5 works entitled Kaharep. Each of the works created reflects the storyline of Prince Samudra's teaching on Mount Kemukus with the appearance of characters spreading agricultural science, cultural science, martial arts and religious knowledge.
SEMICOLON BATIK MOTIVES AND ITS APPLICATION TO CASUAL CLOTHES
Authors: Pramesti Julieta Citra , - Guntur
Published: August 2024

A semicolon is a semicolon (;). This semicolon punctuation in writing serves as a substitute for a conjunction in a sentence. In a sentence the use of a semicolon is not intended as the end of a sentence for the author. In the lives of people with mental disorders , the use of this punctuation mark is a statement of self to survive, to avoid fatalistic actions (suicide). Semicolon mental disorder as the theme of the work is motivated by the socialization constraints of the sufferer's community and their self-expression. Semicolon is a sign used by individuals or communities to show themselves and the suffering they experience. As a sign, the semicolon is interesting to be used as inspiration in the creation of batik motif designs. Its application in casual clothing is to provide another alternative in expressing self-identity. Through exploration, design, and embodiment, the Seroja Sauntara motif is created ; Roman Wani; Lang Aruna; and Semisulur . As for its application to clothing, namely Eunoia, Tittari, Renjana, Upeksha, and Sattva . The title of the work is adapted to the character and appearance, as a means of self-healing .
READY TO WEAR CLOTHING WITH BATIK MOTIFS INSPIRED BY CISADANE LENGGANG DANCE
Authors: Zanira Zahra Alfina
Published: August 2024

The work on the final project batik motif with the source of the idea of Dance Lenggang Cisadane for clothing Ready to Wear. The purpose of this final project that is, creating Batik motifs dance Lenggang Cisadane with the main motive in the dance movement that rests on the four elements of culture in dance Lenggang Cisadane. The method used in the process of creating this work is Gustami method which is divided into three methods, namely starting from the exploration stage, by making direct observations at the location of the dance studio and digging for data through interviewing. The second stage is the design, starting with alternative designs to be selected as batik motifs applied to ready-to-wear clothing. Starting from the process of pattern, shading, batik, coloring, melorod, sewing to finishing. The results in the creation of this work in the form of four ready to wear clothing. His attributes are softie, beauty, agility and cheerfulness. The creation of fashion works that raise the motif of Dance Lenggang Cisadane can be known more widely in the general public, especially the younger generation who are less aware of traditional dance culture.
OLD UKRAINIAN SLOVUTA AND «OLD EUROPEAN» HYDRONYMY
Authors:   Department of Modern Languages and Cultures, DANYLENKO Andrii
Published: August 2024

The paper offers a new etymology of the Old Ukrainian hydronym Slovuta and its derivational congeners Slovuticь and Slovutičь against the background of the non-Slavic equivalent Dъněprъ and the Greek transcriptions Δάναπρις and Βορυσϑένης. The proposed explication of OU Slovuta is undertaken in the context of research on «Old European» hydronymy as first introduced within Krahe’s school of thought. The author substantiates the origins of the derivative Slovuticь / Slovutičь in the historical paratactic construction Dъneprъ-Slovuticь. A comparison with other paratactic constructions shows that this derivative is a result of the historical substantivization of Slavic nouns used primarily in the attributive function. In place of its commonly accepted participial interpretation, the author treats the form Slovuta as an athematic denominative from PU *slov-ǫt-a continuing an earlier formation with the original meaning ‛the one who possesses the quality of *slov-’. The postulated base *slov- is characterized by onomatopoetic syncretism of both the sound of rinsing, washing, flowing (PIE *k̂leṷH-) and its perception (PIE *k̂leṷ-), while the termination -ā functions as a «noun class marker» designating a natural stream of fresh water. The author also argues that the underlying formation PIE *k̂leṷH-/ *k̂leṷ-ont-ā >*k̂leṷ(H)-ont-ā (> PS slov-ont-ā > PU slov-ǫt-ā > OU slov-ut-a) could have appeared in the early-inflecting «Old European» period in the formation of Indo-European, transitional from the active grammar type to the system of nominative-accusative grammar.
ITALIANISMS AND PSEUDO-ITALIANISMS IN THE UKRAINIAN GASTRONOMIC LEXICON
Authors:   «Sapienza» University of Rome Department of European, American and Intercultural Studies, PONOMAREVA Olena
Published: August 2024

The article examines recent borrowings from Italian into Ukrainian, namely oneword terms from the field of Italian gastronomy and cuisine, non-equivalent lexemes such as food names, food ingredients, preparation technologies, which have no analogues in other culinary cultures, and therefore, present significant difficulties in rendering into other languages. The analysis is carried out on a corpus of components of the menus of twenty restaurants in Kyiv, Kharkiv and Lviv specializing in Italian cuisine and provides original empirical data to better interpret and understand various phenomena of linguistic interference between Ukrainian and Italian. The findings demonstrate that a large number of recent borrowings are undergoing some initial changes with phonological adjustments and markers of the target language, although these words are not yet codified in lexicographic sources. Such empirical materials make it possible not only to investigate the process of adaptation at different stages (spelling, semantic, grammatical, word building), but – in many cases – to record the very moment of borrowing, allowing some important issues to be raised: in particular, on basic type of loanwords and their adaptation to the Ukrainian language system, on the role and place of borrowings with regard to the Ukrainian linguistic heritage, as well as to actualize the question of the relationship between language and culture in the Ukrainian context.
Österreichischer Amtskalender 2020/2021 eBook
Authors: Österreich Verlag
Published: August 2024

Der Österreichische Amtskalender - das optimale Recherchetool für Ihren Kontakt zum öffentlichen Sektor: Vollständig aktualisiert finden Sie hier über 145.000 Ansprechpersonen und 33.500 Adressen aus den Bereichen Verwaltung, Politik, Justiz, Öffentliche Sicherheit, Wirtschaft, Bildung, Gesundheits- und Sozialwesen: - Geschäftseinteilung aller Bundes- und Landesbehörden - Amtsträger*innen und Ansprechpersonen mit Kontaktdaten und Zuständigkeiten - Landes- und Bezirksgerichte, Staatsanwaltschaften und Notariate - Schulen, Universitäten und Fachhochschulen - Krankenanstalten, Ambulatorien und Apotheken - Sozialversicherungen, Kammern, Berufsverbände und Interessenvertretungen - Bürgermeister*innen, Amtsleitungen, Standesämter und zuständige Behörden aller österreichischen Gemeinden (inkl vollständigem Ortsverzeichnis) - uvm Aktuell in der Ausgabe 2020/2021: BUNDESREGIERUNG: Minister*innen und Kabinette der türkis-grünen Bundesregierung BUNDESMINISTERIEN: Ansprechpersonen und neue Zuständigkeiten (Bundesministeriengesetz-Novelle 2020) SOZIALVERSICHERUNGEN: Management und Kontaktdaten der neuen SV-Träger ÖGK, SVS und BVAEB NIEDERÖSTERREICH: Bürgermeister*innen nach den Gemeinderatswahlen im Jänner 2020
Prevalence of Overweight and Obesity among Bangladeshi Young Adults and Evaluation of the Associated Factors after COVID-19 Pandemic: a Cross-Sectional Study
Authors: Hossain Md Sabbir , Tabassum Nazifa , Bary Md Abdul , Shipa Sowkat Jahan , Sarkar Md Raihan
Published: August 2024

Overweight and obesity have emerged as alarming public health concerns. Many contributing factors for body weight gain are present among young-aged populations. The purpose of this study was to determine the prevalence of overweight and obesity in young adults after the COVID-19 pandemic and the risk factors linked with it. This research was carried out from September 2023 to January 2024, focusing on young adults in Dhaka city. A standard questionnaire was designed for collecting data. Body weight and height were measured by an electronic weighing machine and measuring tape, respectively, to calculate the BMI of the participants. The association between factors and obesity and overweight was evaluated using the chi square test and the Fisher test of exactness. Three hundred seventeen (317) young adults were enrolled in the study. 13.9% (n = 44) and 3.2% (n = 10) of the study population were found to be overweight and obese, respectively. A family history of obesity was found to be significantly associated with being obese-overweight (p = 0.002) and identified as a high-risk factor for overweight-obesity (OR = 2.596, CI = 1.481–5.900). Overweight-obesity had a significant association with the concentration problem while working (p = 0.015), and overweight-obesity was found to be a risk factor in this regard (OR = 2.754, CI = 1.182– 6.419). Inadequate sleep duration and late-night sleeping habits were found to be risk factors for overweight and obesity (OR = 1.665, CI: 0.853–3.253; OR = 1.276, CI: 0.703–2.313, respectively). Appropriate measures should be followed to reduce the burden caused by overweight and obesity among young adults.
Bangladesh Pharmaceutical Journal 27(2): 182-192, 2024 (July)
Chemical, Biological and Pharmacological Activities of Ficus religiosa: an Extensive Review
Authors: Sultana Sifat Ara , Talukder Shusmita , Shawon Nusrat Jahan , Aktar Fahima , Chowdhury Jakir Ahmed , Chowdhury Abu Asad , Kabir Shaila , Amran Md Shah
Published: August 2024

Herbal drugs are one of the world’s oldest and most precious gifts. Medicinal herbs and plants have a prominent place in the healthcare system, with Ficus religiosa, being one of the most important. It is commonly knowns as fig,  which  is  widely  used  in  traditional  medicinal  systems  as antiulcer,  anticonvulsant,  wound  healing, antinephropathic,  antiviral,  analgesic,  anti-inflammatory,  antimicrobial,  immunostimulant,  antihyperlipidemic, antioxidant,  antiasthmatic,  parasympathetic  modulatory,  anti-acetylcholinesterase,  anticancer  and  cognitive enhancing  agents.  Secondary  metabolites  isolated  from  the  plant  such  as  stigmasterol,  methyl  oleanolate, lanosterol, caffeic acid, bergenin, amides, lupin 3-one, β-sitosterol, n-octacosanol, and flavonoids are considered to be the principal bioactive compounds of F. religiosa. The purpose of this review was to outline the phytochemistry, pharmacology and  toxicity  profile  of  F.  religiosa.  Aside  from  plant  morphology and  phytochemistry,  the application of the plant in the most recent discoveries and nanotechnology was also explored. Furthermore, the review addresses recent therapeutic breakthroughs and identifies areas for further research that should be addressed in future studies.
Bangladesh Pharmaceutical Journal 27(2): 223-238, 2024 (July)
KEBIJAKAN KETAHANAN PANGAN DI INDONESIA MELALUI PENDEKATAN ANALISIS BIBLIOMETRIC
Authors: Maulana Delly , Habibi Fikri , Purnama Indra Nizar
Published: August 2024

The issue of food security is currently a high priority because making a country without poverty and without hunger is one of the goals of the Sustainable Development Goals (SDGs). Therefore, there needs to be a strategic policy in realizing it. This paper tries to reveal the mapping of research related to food security policy using bibliometric analysis so that it can provide an overview of best practices in addressing the issue. The method used in this research is a literature review study using bibliometric analysis using VosViewer software. The results of the study illustrate the development of food security policy research from year to year with the most issues being social society. While issues that are still rarely studied are food security policies related to land, environmental degradation, food security for households, groundwater use, and public health aspects.  Furthermore, there are several policy strategies to resolve food security issues in Indonesia, namely:  First, the government must make agricultural policies that encourage collaboration between stakeholders, namely the government, companies, farmers, and scientists; Second, there needs to be a policy that encourages the transformation of food technology to create food security, Third, there needs to be a policy to empower people to return to agricultural land, Fourth, there needs to be a policy to overcome agricultural land problems, and Fifth, there needs to be a policy to control food waste.
ALAT PRAKTIKUM GERAK LURUS DENGAN SENSOR IR BERBASIS ARDUINO
Authors: Sholakhudin Muhammad Najib
Published: August 2024

Pembelajaran saat ini seharusnya telah diarahkan pada kemampuan untuk mengenal dan menerapkan teknologi digital. Namun beberapa alat praktikum fisika masih menerapkan teknologi manual dan sederhana. Pada materi gerak lurus misalnya, alat praktikum yang biasa digunakan adalah objek bergerak, alat ukur mistar dan stopwatch. Beberapa guru fisika menyatakan alat praktikum gerak lurus yang sudah ada memiliki beberapa kekurangan anatara lain 1) tidak mampu mendeteksi besaran kecepatan sesaat; 2) belum bisa dimodifikasi sekalian untuk gerak lurus, bidang datar dan miring; 3) perlu lebih banyak menghitung manual; dan 4) praktikum berbasis virtual kurang meningkatkan kreativitas dan keilmuan teknologi. Salah satu ide dan solusi masalah tersebut adalah pembuatan alat praktikum gerak lurus berbasis arduino. Penelitian ini bertujuan untuk menjelaskan proses pembuatan dan efektifitas akurasi alat tersebut serta cara penggunaannya. Alat dibuat terdiri papan akrilik, dan mobil mainan sebagai objek bergerak. Sensor IR (Infrared) KY-032 bertindak sebagai pengukur kecepatan sesaat dan ditampilkan pada LCD I2C 16x2. Arduino berfungsi sebagai mikrokontroler yang mengendalakan interaksi antar sensor dan LCD. Metode penelitian yang digunakan adalah ADDIE (Analyze, Design, Development, Implementation, Evaluation) dengan pendekatan Trial and Error. Hasilnya akurasi ketelitian alat sekitar 97,03% dan punya kemiripan data yang baik jika dibandingkan dengan praktikum manual. Adanya alat ini diharapkan dapat menambah motivasi semangat dalam belajar fisika teknologi.
ChatBot-based Bus Ticket Booking Prototype Using WhatsApp
Authors: Febriansyah Bagas , Abdillah Leon A.
Published: August 2024

Customer relationship management (CRM) is the most critical part of any business's operations. To deploy CRM at PO Harapan Jaya, a ticket ordering system is required to make things easy for customers. Researchers constructed a chatbot prototype using the WhatsApp app with the goal of making it easier and more efficient for PO Harapan Jaya customers to buy bus tickets. The eXtreme Programming (XP) approach is a strategy for creating a ticket-booking chatbot prototype using WhatsApp. In developing the WhatsApp chatbot prototype for this research, a CRM system is proposed that can collect and manage information entered by customers, ticket purchase history, and produce proof of ticket reservations via WhatsApp chat, which will then be shown to the PO Harapan Jaya admin to obtain bus tickets ordered by customers. Researchers conducted a black box test on the prototype. This study intends to demonstrate how deploying chatbots in the WhatsApp application may speed up the bus ticket purchase process, increase customer service quality, and assist PO Harapan Jaya in optimizing CRM tactics. Based on the extensive programming processes, including planning, design, coding, and testing, it is possible to determine that the final WhatsApp chatbot will work properly and may be used by users to buy PO Harapan Jaya bus tickets. Customers may book tickets, examine departure schedules, and contact the PO Harapan Jaya admin if they have any issues when ordering tickets.
Enterprise Architecture Implementation Scholastic Learning Zone Literacy Improvement St. Kristoforus 2 High-School
Authors: Yudianto Tri , Indrajit Eko , Makmur Amelia , Dazki Erick
Published: August 2024

This research aims to explore the transformation of Enterprise Architecture in the implementation of a Scholastic Learning Zone for the improvement of learners' literacy at Santo Kristoforus 2 High School. The background of this research is based on the importance of literacy as the primary foundation in learning, as well as the need to integrate innovative educational technology. The main objective of the research is to understand how the implementation of Enterprise Architecture can support the implementation of the Scholastic Learning Zone effectively and efficiently. The research method used is a qualitative approach with a case study at Santo Kristoforus 2 High School, involving in-depth interviews with educators, direct observation, and analysis of related documents. The results showed that the implementation of Enterprise Architecture significantly contributed to improving the structure and process of education, thus supporting the improvement of learners' literacy. Key findings include improved accessibility of learning resources, school administration efficiency, and increased learner engagement in the learning process. Additionally, the implementation facilitated the creation of eBooks for learning materials, further enhancing literacy by providing students with readily accessible and interactive content. The conclusion of this study shows that the transformation of Enterprise Architecture in the implementation of the Scholastic Learning Zone not only improves literacy but also strengthens the education system. Further research is recommended to test this model in different educational contexts to extend the validity of the findings.
Enterprise Architecture in the Construction Management Software using the Business Model Canvas
Authors: Susatyo R Wahyu Indra , Indrajit Eko , Dazki Erick
Published: August 2024

Indonesia's construction industry has boomed over the past decade, acting as a powerful engine for the nation's economic growth. However, this success story comes with a growing list of challenges. Construction projects are becoming increasingly intricate, demanding not only efficiency and quality but also enhanced safety and a minimized environmental footprint. To tackle these complexities, the industry is undergoing a crucial transformation towards "smart construction." This approach leverages the power of information and communication technology (ICT) throughout the entire project lifecycle, from planning and design to execution and maintenance. By integrating ICT tools like Building Information Modeling (BIM) and cloud-based project management platforms, smart construction streamlines processes, minimizes errors, and optimizes resource allocation, ultimately leading to improved efficiency, enhanced worker safety, and a reduction in environmental impact. A key pillar of smart construction lies in the integration of enterprise architecture (EA) within construction management software. EA provides a structured framework for aligning IT systems with construction businesses' specific goals and objectives. This ensures that software development and management are adaptable to evolving industry needs and foster continuous innovation. This research delves into the application of EA within the construction management software industry, specifically focusing on the TOGAF Architecture Development Method (ADM). By exploring EA through this established framework, the research aims to shed light on how the construction industry in Indonesia can leverage technology to its fullest potential. This will ensure continued growth within the sector and contribute to a lasting positive impact on the nation's economy.
Sentiment Analysis towards the 2024 Vice Presidential Candidate Debate Using the Support Vector Machine Algorithm
Authors: Harahap Raihan Rizieq , Furqan Mhd.
Published: August 2024

In today’s digital era, social media plays an important role in disseminating information and influencing public opinion. For instance, YouTube. At the 2024 Vice Presidential Debate, YouTube became a medium where people gave various comments. This study aimed to analyze public sentiment through comments on the 2024 Vice Presidential Debate on the Metro TV YouTube channel. This study used descriptive quantitative methods with the Support Vector Machine algorithm to identify various public comments. The results show that from the data experiment taken as many as 1012 data, 80% data training amounting to 809 data and 20% data testing amounting to 203 data is carried out. An accuracy of 82% was obtained with a precision value of 80%, a recall value of 87%, and an f1-score value of 83%. With a fairly high accuracy value, the support vector machine model can be said to be the right model to calculate the accuracy value in sentiment analysis.
Composite Performance Index in Decision Making for Social Assistance
Authors: Wulandari Andini , Fakhriza M.
Published: August 2024

The majority of the residents in this village, approximately 90%, worked as farmers or farm laborers. Given the economic conditions, social assistance became crucial in reducing social inequality and enhancing the welfare of vulnerable communities. The role of village governance was significant in improving community welfare. The Village Hall served as the center of village administration, managing various activities, including the distribution of social assistance. The Village Hall was responsible for ensuring that social assistance was distributed fairly and effectively to recipients according to prevailing policies. However, the Village Hall faced issues such as inefficiency and inequality in the distribution of social assistance. The process of selecting social assistance recipients was still conducted conventionally, where Village Hall staff collected data on the community based on certain criteria. This method was prone to errors in decision-making and incorrect distribution of assistance, such as recipients who did not actually qualify still receiving aid, while those in need often did not receive appropriate support. These issues were caused by a lack of thorough analysis. The village government needed to establish a decision-making system that was accurate and precise. The operation of this system included all steps of problem identification, selection of relevant information, and determination of the approach used for decision-making through to the resolution of the issues. To achieve accurate results, this research applied the Composite Performance Index method. The aim of this research was to create a decision support system (DSS) for selecting social assistance recipients in the village. This DSS was expected to help staff improve the speed of social assistance classification, avoid errors, and produce accurate decisions.
The Development of the Outsourced Facility Service Market in the EU
Authors: Redlein Alexander , Stopajnik Eva
Published: August 2024

The Facility Service (FS) industry lacks comprehensive scientific reports due to its fragmented representation in the NACE industry classification system in the EU. This article addresses this gap by offering insights into the FS market's turnover, number of companies, and employees. The study examines the development of turnover, company count, and employee numbers in the outsourced FS sector in the EU and the five major European economies since 2008. The European norm EN 15221:4 defines FS activities, which were cross-referenced with Eurostat's economic data to identify relevant FS services. Extensive data quality checks were conducted to ensure accuracy. From 2008 to 2018, the FS sector's size in terms of turnover and companies was estimated and compared across countries. Findings reveal that the EU's FS sector reached a turnover of over 1142 billion in 2017, with nearly 2 million companies and over 15 million employees. Despite the 2008/2009 financial crisis, the FS sector in the EU demonstrated stability compared to the broader economy in the selected countries.
Blocked Pipes: The Economic Consequence of Skilled Worker Shortages
Authors: Dunham John , Flaherty Michael
Published: August 2024

The thinning of the supply of skilled labor is having major negative implications on the economy. This research explores the “skilled labor gap” by examining the plumbing industry and quantifying the economic value lost through inefficiencies and labor premiums. The analysis utilizes state-level panel data for the years 2010 to 2018, employing both a linear OLS model of pooled data and a random effects regression model to determine the relationship between the number of plumbers and the price of plumbing services (proxied in plumber wages). Price effects are modeled across industries to determine the effects on the overall economy.
Are Madison and Jacob (Still) More Employable than Aaliyah and Xavier (in Public Accounting Firms)?
Authors: Nickerson Mark , Walters Lisa , Yu So-Jin
Published: August 2024

To embrace diversity, the American Institute of Certified Public Accountants (AICPA) has launched initiatives to enroll a more diverse population into the accounting profession. This study investigates if racial disparity currently exists despite these initiatives by conducting a blind study of callbacks for eight fictitious applicants of various races, genders, and resume quality. The study found that although no difference in callbacks existed in general between Blacks and Whites, when quality of resumes is considered Whites have the advantage. Further, the study offers practical solutions for CPA firms and higher education to consider in their efforts to achieve more diversity.
The Global Economic Recovery From COVID-19 Vaccinations
Authors: Luong Trang , Birur Dileep K. , Lal Pankaj
Published: August 2024

The analysis examines the COVID-19 pandemic’s economy-wide global effects, assessing the impact on gross domestic product (GDP) through reduced labor supply and productivity in diverse sectors. Utilizing a Computable General Equilibrium model from the Global Trade Analysis Project database, the results highlight the pronounced influence on Light and Heavy manufacturing due to disrupted global supply chains. The vaccination’s effectiveness in economic recovery is emphasized, indicating increased labor participation and productivity. The study underscores vaccine disparities among developing nations, affecting global economic resurgence. Overall, it stresses the interconnectedness of COVID-19’s impact on national GDP, the manufacturing sectors, and the crucial role of vaccination in driving economic activity and global recovery.
Políticas afirmativas e educação superior: Rumo a uma universidade como um espaço do comum
Authors: Oliveira Matheus Bezerra de
Published: August 2024

O artigo aborda o impacto das políticas afirmativas na universidade pública destacando como essas políticas transformaram esse espaço educacional em um campo do comum. As políticas afirmativas promoveram a inclusão de grupos historicamente marginalizados diversificando tanto a composição estudantil quanto o corpo docente. Objetiva-se com este artigo analisar de que forma o potencial comum da Universidade se concretiza com o apoio das políticas públicas de inclusão e acolhimento de sujeitos de toda a sociedade visto que a universidade pública, ao adotar essas políticas, tornou-se um terreno fértil para a troca de experiências e perspectivas, enriquecendo os debates acadêmicos. Para tanto adotou-se uma metodologia qualitativa de natureza filosófico-reflexiva baseada em uma revisão de literatura e análise documental. Constatou-se a necessidade contínua de enfrentamento aos desafios e a necessidade de se continuar buscando formas de garantir e maximizar a eficácia das políticas afirmativas para construirmos cada vez mais universidades verdadeiramente inclusivas e representativas. A conclusão destaca a universidade pública como um espaço onde a diversidade é celebrada, desafiando preconceitos e contribuindo para a construção de conhecimento coletivo em busca de uma sociedade mais justa e igualitária.