bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey Paper on Automation of Attendance System through Facial Recognition
Authors:   Department of Information Technology Sinhgad Institute of Technology and Science,Narhe, Jareena Sheikh Prof
Published: March 2024

Abstract—In recent times almost, everything around us is being automated in some way just to make life easier for us. With the use of machine learning and deep learning we can allow non- living objects to program themselves to self-learn from the available data and perfect itself in the process. The process of recording attendance in educational institutions and workplaces has traditionally relied on manual methods, which are time- consuming, error-prone, and lack the level of security and accuracy desired in today’s digital age. This research presents a technological solution to these challenges. This technology offers a range of compelling advantages. It eliminates the need for manual attendance tracking, reducing the potential for errors and administrative workload. Moreover, it enhances security by ensuring that only authorized individuals can mark their attendance. Real-time data is available for monitoring and generating attendance reports, offering valuable insights into punctuality and attendance patterns. This research provides a comprehensive overview of the system’s architecture, algorithms, and the underlying technology, along with a discus- sion of the ethical and privacy considerations associated with face recognition. By implementing this innovative technology, educa- tional institutions and organizations can streamline attendance management, increase operational efficiency, and contribute to a more secure and productive environment. Keywords: Face recognition, LBPH, Haar-cascade, face detection, Viola n Jones, openCV, Adaboost
AI AND IMAGINATION: BRIDGING THE GAP BETWEEN CREATIVITY AND MACHINES
Authors:   SCSVMV Deemed to be University, India., Geetha Dr. V , Gomathy Dr.C.K , Bathrinathan Mr.S R , Sripada Shiva Koushik
Published: March 2024

Abstract—The convergence of artificial intelligence and human imagination is reshaping the creative landscape. This exploration examines how AI has evolved from its traditional role to become a catalyst for innovation. Through advanced generative models and neural networks, AI goes beyond automation, allowing creativity to flourish without limitations. However, ethical considerations and societal implications arise as AI-infused imagination explores new frontiers in artistry and problem-solving. The evolving partnership between human ingenuity and machine intelligence opens up collaborative opportunities that unveil exciting possibilities in creativity and innovation. Keywords—Artificial Intelligence, Human imagination, neural networks, generative model, automation.
OPTIMAL DECISION MAKING IN GAMES
Authors: Geetha Dr. V , Gomathy Dr.C.K , Vijayasimha Mr , Vyshnavi Ms
Published: March 2024

Optimal decision-making in games involves navigating a complex web of choices to maximize your outcomes. It's like being a chess grandmaster, anticipating moves, countermoves, and trying to stay several steps ahead. Whether it's choosing a strategy, predicting opponents' actions, or adapting to dynamic situations, the key is to balance risk and reward. It's a mental juggling act, where every decision shapes the game's trajectory. So, think of it as your strategic dance, where each step is a move toward victory. KEYWORD:Decision making system, Game theory, strategies, Adapting.
THE FUTURE IS NOW: AI POWERS NEXT-GENERATION ROBOTS
Authors: Geetha Dr.V , Gomathy Dr.C.K , SaiPushkar ,Mr.Sikharam , VenkataRamana V. Lokesh
Published: March 2024

This article explores the transformative effect of synthetic intelligence (AI) on robotics, highlighting key regions where AI is revolutionizing the field. It discusses the evolution of robots, from simple automation to superior AI, and the position of AI in gaining knowledge of, sensing, reasoning, and communication for robots. The article also offers actual-global examples of AI robotics programs, along with self-riding automobiles, warehouse automation, and area exploration. It addresses the social implications of intelligent, self-sufficient robots, along with issues about process displacement, human relationships, and privacy. The article concludes by means of supplying interesting innovations on the horizon for AI robotics, such as smarter and more adaptable robots, more advantageous human-robot collaboration, miniaturization, self-reliant automobiles, and robotics for private use. Keywords: miniaturization, transformative, self-reliant automobiles.
The Integration of Digital Transformation with Human Resource Management – A Theoretical Point of View
Authors:   MGC College of Arts and Science, Chennai - 37, KAMALAKANNAN Dr. A
Published: March 2024

Virtual transformation changes HRM practices by introducing new strategic skills, control, and operational performance. Virtual tools and technology have made hiring, training, and managing employees easier, broadening the talent pool and increasing job satisfaction. HR analytics software has also helped HR professionals make more informed decisions about workforce planning and skill development. Virtual transformation has also enabled more flexible work policies and virtual education programs, improving operational performance and worker engagement. To be successful, HR professionals must now possess virtual literacy and a strategic mindset. The digital revolution has positioned human resource management as a critical driver of organizational success, emphasizing the role of digital tools and technology in shaping the future of work and talent management. Keywords: Digital Transformation, Human Resource Management and Efficiency
Biblioclasm :A Sociocultural Study of Knowledge Destruction and Prevention Through Legal Mechanisms
Authors: Sarkar Sayan , Adak Mousumi , Ghosh Chaiti
Published: March 2024

‘Biblioclasm: A Sociocultural Study of Knowledge Destruction and Prevention Through Legal Mechanisms’ explores the complex and multifaceted phenomenon of biblioclasm, the deliberate destruction of books and knowledge repositories, from a sociocultural perspective. This paper explores the causes of biblioclasm, its historical and modern expressions, and the function of legislative safeguards in preserving intellectual variety and cultural heritage. The study explores the sociocultural roots of biblioclasm and considers the different ideological, political, religious, or cultural motivations that people or groups may have for wanting to eliminate information. The study offers insights into the destructive forces that have affected human history by using historical examples like the burning of the Library of Alexandria and contemporary examples like the destruction of cultural artifacts by terrorist organisations. This study also emphasises the value of legislative safeguards in preventing biblioclasm and safeguarding the world's cultural heritage. It examines the efficiency of international treaties and conventions, such as the UNESCO Convention for the Protection of Cultural Property in the Event of Armed Conflict, in averting the loss of knowledge and fostering cultural preservation. The study also looks at how domestic legal systems in particular areas or countries deal with biblioclasm. Keywords - Book Burning, Biblioclam, Iconoclasm, Destruction of Knowledge, Information Censorship, Destruction of Information
Spam analysis and classification of the dynamic message using a vectorizing technique with multi-model machine learning algorithm
Authors: Kumar Gamango Sumeet , Prabavathy A Kethsy
Published: March 2024

Spam analysis and classification of dynamic messages is an essential task in order to combat the ever-increasing volume of unsolicited and malicious emails. One effective approach is to employ a vectorizing technique along with a multi-model machine learning algorithm. This approach involves representing email messages as high-dimensional vectors, capturing various features such as word frequencies, presence of specific keywords, and structural characteristics. By transforming the text into numerical representations, the machine learning algorithm can then learn patterns and make predictions based on these representations. The use of a multi- model algorithm allows for the integration of different classification models, each with its own strengths and weaknesses, to enhance the overall performance. This approach can achieve high accuracy by leveraging diverse learning methods and combining their predictions. Furthermore, the approach is dynamic in nature, meaning that it can adapt to new forms of spam and evolving attack strategies. The key challenge lies in selecting appropriate features and tuning the parameters of the algorithm to ensure optimal performance. The results of this study can contribute to the development of more effective and efficient spam detection systems, helping users to filter out unwanted and potentially harmful messages. Keywords: spam analysis, dynamic messages, classification, vectorizing techniques, multi-model machine learning algorithm, email filtering, unsolicited emails, malicious emails, feature extraction, pattern recognition.
UniXplore- A University Assisting App by Using Machine Learning
Authors: Journal IJSREM
Published: March 2024

UniXplore is changing the higher education landscape through machine learning. Recommending universities based on academic interests, geographic conditions, and financial constraints is a matter of personal preference. Users can benefit from a comprehensive comparison of their chosen schools, including factors such as academic reputation and facilities. UniXplore simplifies the application process by gathering the necessary information and integrating a well-conceived and targeted design plan. UniXplore enhances learning, improves learning, and changes the future of higher education with personalized recommendations and best decisions. Key Words: UniXplore, higher education, machine learning, university recommendations, academic interests, the application process, learning enhancement.
Kualitas Elemen Fisik Ruang Publik pada Koridor Komersial Pasar Sudimampir Kota Banjarmasin
Authors: Annisa Annisa , Ridhani Muhammad Yusuf
Published: March 2024

Kawasan Pasar Sudimampir merupakan ruang publik yang terletak di sepanjang koridor Jalan Sudimampir dan Ujung Murung serta di sepanjang tepian Sungai Martapura yang dimanfaatkan untuk melakukan berbagai aktivitas khususnya kegiatan komersial di Kota Banjarmasin. Kawasan Pasar Sudimampir merupakan bagian dari kawasan kota lama dimana beberapa unsur-unsur pembentuk fisik kawasannya sudah tidak layak dan bahkan tidak tampak sama sekali. Tujuan penelitian ini untuk mengkaji implementasi 8 elemen fisik ruang publik di sepanjang koridor komersial kawasan Pasar Sudimampir dengan memakai memakai teori Hamid Shirvani (1985). Metode yang dipakai pada penelitian ini adalah metode kualitatif deskriptif yang kemudian dianalisis dan didapatkan kesimpulan, diawali dengan observasi langsung di lapangan, mendapatkan data yang kemudian diidentifikasi sebagai elemen fisik pembentuk ruang perkotaan di sekitar kawasan Pasar Sudimampir. Hasil yang diperoleh menunjukkan bahwa kawasan Pasar Sudimampir Kota Banjarmasin belum memenuhi dalam kriteria penerapan elemen fisik pembentuk ruang kawasan perkotaan, land use dan fungsi bangunan memiliki kualitas yang sudah cukup baik, namun untuk circulation and parking, pedestrian ways, open space, activity support, signage dan preservasi masih perlu peningkatan kualitas dengan perencanaan dan perancangan yang lebih baik kedepannya.
Kajian Aktivitas Berdasarkan Kondisi Lingkungan pada Kawasan Tepian Sungai Cikapundung
Authors: Ulfa Almira , Hapsari Harrini Mutiara , Komariah Sri Lilianti , Drastiani Rizka
Published: March 2024

Kawasan tepian sungai memiliki potensi untuk dikembangkan menjadi sebuah ruang publik yang interaktif.  Hal menarik dari kawasan yang memiliki sungai di dalamnya ialah beraktivitas di tempat yang berdekatan dengan air sambil menikmati keindahan dan suasananya. Studi ini berfokus untuk mengidentifikasi aktivitas yang berlangsung pada kawasan tepian Sungai Cikapundung, yang meliputi: aktivitas pokok (necessary activities); aktivitas opsional (optional activities); dan aktivitas sosial (social activities). Kemudian dilihat apakah masyarakat melibatkan area tepi Sungai Cikapundung dalam melakukan aktivitas opsional dan sosial. Metode yang digunakan adalah metode penelitian kualitatif dari hasil wawancara dan observasi lapangan. Hasil menunjukkan bahwa masyarakat yang berhuni berbatasan langsung dengan sungai memiliki aktivitas dengan interaksi yang kuat terhadap Sungai Cikapundung, sedangkan kawasan permukiman penduduk yang berada dekat tetapi tidak berbatasan langsung, memiliki interaksi yang minim terhadap sungai dalam melaksanakan aktivitasnya. Ditemukan bahwa letak dan keterbukaan terhadap sungai sangat mempengaruhi ada tidaknya interaksi masyarakat terhadap sungai. Keluaran studi ini diharapkan dapat menjadi dasar dalam pengembangan kawasan di tepian sungai.
Performances Development of Traditional Settlement in Skonjing Village, Ogan Ilir, South Sumatra
Authors: Prima Listen , Amalia Fuji , Arief Abdurrachman , Harjuniertha Q. A , Agil M.R. , Ali A.R
Published: March 2024

The traditional settlement in Skonjing Village has unique characteristics that reflect the local community's close relationship with the natural surroundings. Using natural materials, especially wood, in house construction reflects the sustainable and eco-friendly principles the locals have implemented. The buildings built in the early period in Skonjing Village were mostly stilt houses that used materials easily found around the location. Through observation of field surveys and interviews with residents, this research identified the characteristics of Skonjing Village's traditional settlement based on their function, use of materials, and visual appearance that have been changed and threaten to be dismissed. It was discovered that the development performances of Skonjing Village started from the outskirts of the Ogan tributary and spread outwards, away from the riverbank. Understanding the characteristics of these traditional houses is crucial for preserving the cultural identity of Skonjing Village.
Thirsty Metropolis: A Case Study of New York City's Drinking Water
Authors: Vintinner Erin
Published: March 2024

New York City’s drinking water supply has evolved from private wells to a complex system of upstate reservoirs and aqueducts, although not without social and political conflict. In particular, a balance must be found between population pressures both in upstate watershed regions and downstate. This case study is based on a 1995 controversy concerning the regulation of NYC’s water quality following new national laws. Students will adopt the concerns of one of the major groups involved (government entities, upstate stakeholders, downstate stakeholders, or environment groups) to actively come to a decision, with follow up to compare their discussions with what actually occurred.
Uji Validitas dan Uji Reliabilitas Instrument Penilaian Kinerja Dosen
Authors: Utami Yulia
Published: March 2024

Penelitian ini membahas tentang menganalisis butir-butir soal yang akan dijadikan sebagai instrument dalam peniliain kinerja dosen. Analisis butir-butir soal dilakukan dengan melakukan pengujian validitas dan reliabilitas. Pengujian tersebut bertujuan untuk mengetahui kelayakan butir-butir soal, serta dapat dipercaya dan diandalkan untuk dijadikan sebagai instrument dalam sebuah penelitian. Dalam melakukan uji validitas skala yang digunakan peneliti ialah skala rating. Uji validas menggunakan rumus Pearson Product Moment dengan taraf signifikan 5%, df (n-2). Dalam pengujian validitas setelah menganalisis rhitung dan rtabel dapat dikatakan butir soal valid jika rhitung > dari rtabel, maka terdapat 17 butir soal yang dikatakan valid dan 3 butir soal yang tidak valid. Pengukuran reliabilitas dapat digunakan beberapa rumus salah satunya berdasarkan metode nilai Cronbach’s alpha. Berdasarkan output yang telah didapat diketahui Cronbach’s Alpha sebesar 0,406. Kemudian kita bandingkan dengan rtabel dimana df(n-2) dengan taraf signifikan sebesar 5% didapat hasil rtabel sebesar 0,361. karena Cronbach’s Alpha dengan rtabel sebagai mana berdasarkan pengambilan keputusan kuesioner, sebanyak 17 butir soal yang valid dapat dinyatakan reliabel.
Perancangan dan Optimasi Performa Sistem Minimum Quantity Lubrication (MQL) pada Proses Pemesinan Keras dengan Kontroler berbasis Arduino
Authors: Naibaho Ronald , Sianturi Roy Lamrun , Napitupulu Abidan
Published: March 2024

Proses pemotongan dengan menggunakan mesin bubut merupakan salah satu proses penting dalam manufaktur. Menggunakan cairan pemotongan dalam pemesinan berbasis minyak bumi menimbulkan masalah bahaya kesehatan bagi operator pemesinan dan masalah lingkungan akibat limbah. Metode alternatif diperlukan untuk mencegah aspek berbahaya dari cairan pemotongan. Makalah ini bertujuan untuk membahas perancangan dan opimasi sistem pelumasan kuantitas minimum (MQL) yang diaktifkan berdasarkan evolusi keausan pahat. Menerapkan MQL dalam pemesinan terbukti meningkatkan machinability dari berbagai sudut pandang. Unit MQL diharapkan dapat menggantikan pemotongan basah tetapi tetap mempertahankan manfaatnya atau bila memungkinkan mencapai kinerja yang lebih tinggi daripada pemotongan basah. Berdasarkan tinjauan referensi, makalah ini menegaskan keuntungan dan kesesuaian sistem MQL untuk berkontribusi pada produktivitas dan pengurangan biaya karena masa pakai alat yang lebih lama. Sistem MQL memberikan kontribusi pengurangan biaya karena peningkatan masa pakai alat. Namun upaya dan detail yang lebih eksperimental harus terus dilakukan untuk mengidentifikasi hasil lebih lanjut, baik keuntungan maupun kerugian dari sistem ini dalam proses pemesinan keras.
Curriculum Development Based on Digital Supply Chain Management in Learning Supplies Management Majoring in Office Administration
Authors: Adi Dharma Buyung , Gunawan Ari
Published: March 2024

Planning, monitoring, and assessing an organization's inventory management processes—often referred to as supply and supply chains—involves learning about supply chains and infrastructure or supplies. We acknowledge, however, that supply management is currently rudimentary and falls short of the demands of Indonesia's expanding appointment market. This study's main goal is to raise the caliber of potential personnel who will handle supplies and equipment in a business. Design Thinking in advance was the methodology utilized in this study. It consists of five steps: empathy, definition and idealization, prototyping, product testing, evaluation, and preparation. This study's findings are integrated supply chain learning that is cloud-based. The introduction of various learning features including LMS, inventory, supply chain, and IoT tracking. There are also some instructions on how to practice bidding based on the case studies given due of the inventory feature. Students are given content for cognitive learning through LMS.  Prospective employees' quality, particularly that of professional students studying organizational needs and materials management, can be raised by employing these tools. The creation and deployment of an integrated learning cloud related to subjects on a larger scale can be the focus of this research's continuation the following year
ANALYSIS OF LIMESTONE QUARRY SLOPE STABILITY, NIMBOKRANG DISTRICT, JAYAPURA REGENCY, PAPUA, INDONESIA
Authors: Marcell Fandy Patrick , Hutagalung Minar Julita , Tambing Frans Simbol , Belly Sahetapy George , Sanggamele Herlina
Published: March 2024

Slope stability analysis generally uses the concept of factor of safety (FoS) value using several whole rock parameters. The slope stability analysis method that will be used in this research is the slope stability analysis method in open pit mines based on rock mass classification with the Rock Mass Rating (RMR) system and the Geological Strength Index (GSI) system and analyses the potential for landslides that can occur on slopes at that location with kinematics and limit equilibrium methods so that the type of landslide can be determined based on the intensity of the geological structure on the slope of the CV. Inti Jaya open pit limestone mine, in Wahab Village, Nimbokrang District, Jayapura Regency. This research aims to provide information on the current condition of the slope whether it is by safety standards, make slope engineering improvements and redesign safe slopes if unstable slope conditions are found. Research on the stability of limestone slopes begins with the collection of field data and rock samples. Furthermore, sample testing was carried out to obtain physical and mechanical properties and weighting of rock masses, which were then analysed to obtain the characteristics and quality of rock masses that would be applied using the finite element method with Slide 6 from Rocscience to determine the Factor of Safety (FK) and the design of safe slope geometry. The RMR value for slope 1 is 62, slope 2 is 61, and slope 3 is 62. So it can be concluded that the rock is included in rock mass class 2 with good quality. Based on the analysis of potential avalanche types, the three slopes have non-arc avalanche types. From the analysis carried out using Rocscience Slide 6.0 software, the FoS value for slopes in original, dry, and saturated conditions is obtained, where on slope 1: FoS in original conditions is 0.935, FoS in dry conditions is 1.619, and FoS in saturated conditions is 0.671. Then slope 2: FoS in original condition is 0.896, FoS in dry condition is 1.457, and FoS in saturated condition is 0.806. Slope 3: FoS in original condition is 3.490, FoS in dry condition is 4.199, and FoS in saturated condition is 3.368. So it can be concluded that slopes 1 and 2 are unsafe or unstable in original and saturated conditions so that landslides can occur. In the analysis of the FoS value of the actual condition of the slopes in the field using the Hoek & Brown method, the FoS value of slope 1 is 0.387, the FoS value of slope 2 is 0.579, and the FoS value of slope 3 is 1.272, it can be seen that the actual condition of the slopes in the field is slopes 1 and 2 in an unsafe or unstable state. Improvements must be made to the slope geometry to maintain the stability of the slope to remain safe or stable. The recommended improvement is to create a new working level for slopes 1 and 2, with steep height and large rock porphyry.
PENGARUH PERHATIAN KELUARGA TERHADAP PERGAULAN ANAK
Authors: Alfi Lail Nur , Nadiah Nadiah
Published: March 2024

Penelitian ini bertujuan untuk menganalisis pengaruh perhatian keluarga terhadap pergaulan anak. Pengumpulan data dilakukan dengan menggunakan angket dan dokumentasi. Kemudian, teknik analisis data yang digunakan dalam penelitian ini yaitu analisis deskriptif dn regresi. Hasil penelitian menunjukkan bahwa besarnya pengaruh perhatian keluarga (X) terhadap pergaulan anak (Y) adalah sebesar 0,413, sedangkan hasil belajar memiliki pengaruh sebesar 0,170.Metode yang digunakan Adalah metode kuantitatif yang pengujiannya menggunakan angka dan statistik dalam pengumpulan Analisis yang  data yang dapat di ukur, Adapun analisis dilakukan melalui uji coba instrumen penelitian dan perhitungan menggunakan rumus Uji-r. Dari hasil tersebut, ditemukan nilai "ro" sebesar 0,413, yang lebih besar daripada nilai "rt" pada taraf signifikan 5% sebesar 0,227 dan taraf signifikan 1% sebesar 0,296.
Mengurai Bahaya Pinjaman Online Illegal Dalam Perspektif Ekonomi Syariah
Authors: Nasution Rizka , Adlia Yuannisa Rizka , Batubara Maryam
Published: March 2024

Pinjaman online ilegal telah menjadi masalah yang meresahkan masyarakat, terutama dalam konteks ekonomi syariah. Penelitian ini bertujuan untuk mengungkap bahaya pinjaman online ilegal dalam perspektif ekonomi syariah. Metode penelitian yang digunakan adalah analisis deskriptif dan kualitatif berdasarkan literatur terkait. Hasil penelitian menunjukkan bahwa pinjaman online ilegal dapat menimbulkan dampak negatif yang signifikan, seperti tingginya tingkat bunga, praktik pemindaian yang tidak etis, dan potensi pelanggaran prinsip ekonomi syariah. Oleh karena itu, perlindungan konsumen dan penegakan hukum terhadap pinjaman online ilegal perlu diperkuat dalam kerangka ekonomi syariah. Penelitian ini diharapkan dapat memberikan kontribusi dalam upaya mitigasi bahaya pinjaman online ilegal dan pengembangan sistem keuangan yang sesuai dengan prinsip ekonomi syariah.
Klasifikasi Barang Menggunakan Metode Clustering K-Means Dalam Penentuan Prediksi Stok Barang
Authors: Sarimole Frencis Matheos , Hakim Lukamanul
Published: March 2024

TB Bambu Kuning merupakan toko yang bergerak dalam penjualan bahan – bahan bangunan yang tingkat penjualannya cukup tinggi dan berlokasi di desa Muara Bakti Bekasi. Saat ini TB Bambu Kuning masih melakukan pemenuhan stok barang atau produk dan melakukan pencatatan transaksi secara manual sehingga sering terjadi kesalahan dalam pencatatan data data yang ada dan juga kurangnya efisiensi waktu yang diperlukan. Maka diperlukan suatu proses pengolahan data besar dengan menggunakan suatu teknik data mining. Teknik data mining yang akan digunakan pada penelitian ini adalah metode K-Means Clustering. Metodologi yang diterapkan dalam penelitian ini adalah CRISP-DM, dengan data penjualan di toko TB Bambu kuning bulan januari sampai maret 2023. Tujuannya Mempermudah pengendalian barang yang dikelola, Mendapatkan proses yang lebih akurat dan efektif dalam menentukan prediksi stok barang dan Mengukur tingkat akurasi dan efektifitas penerapan algoritma K-Means clustering untuk menentukan prediksi stok barang menggunakan Algoritma K-means diterapkan dalam pembentukan cluster berdasarkan model Recency, Frequency dan Monetary (RFM). Dengan bantuan tools jupiter notebook. Pada penentuan jumlah cluster (k) terbaik digunakan metode Elbow. Hasil yang didapat dengan 20 data transaksi terbagi menjadi tiga cluster penjualan terlaris, sedang dan kurang laris. Dari akurasi yang dihasilkan dengan nilai SSE yang rendah yaitu 0,0041 dapat disimpulkan bahwa metode Clustering K-Means dapat digunakan untuk proses clustering dengan hasil cluster yang baik.
Penerapan Data Mining Menggunakan Metode K-Means Untuk Mengetahui Minat Customer Dalam Pembelian Merchandise Kpop
Authors: Surapati Untung , Jannah Magfiratul
Published: March 2024

Teknik data mining dengan menggunakan metode k-means untuk mengidentifikasi minat pembelian merchandise K-Pop oleh customer. Metode k-means digunakan untuk membagi data customer menjadi beberapa kelompok berdasarkan preferensi pembelian merchandise K-Pop. Data yang digunakan dalam penelitian ini berasal dari transaksi pembelian di toko merchandise K-Pop. Data tersebut diolah menggunakan algoritma k-means untuk membangun kelompok-kelompok customer yang memiliki preferensi pembelian merchandise K-Pop yang sama. Analisis kemudian dilakukan untuk mengetahui kesamaan antara kelompok-kelompok tersebut dan untuk mengevaluasi kesesuaian kelompok dengan kategori merchandise K-Pop yang tersedia ditoko merchandise K-Pop. Hasil dari penelitian ini menunjukkan bahwa teknik data mining dengan menggunakan metode k-means dapat memberikan informasi yang berguna dalam mengidentifikasi minat pelanggan terhadap pembelian merchandise K-Pop. Dengan menggunakan teknik ini, peneliti dapat menghasilkan kelompok-kelompok customer yang memiliki preferensi yang sama dalam pembelian merchandise K-Pop. Setelah data dianalisis dengan metode K-Means, ditemukan bahwa terdapat 2 kelompok minat pembelian yang berbeda. Kelompok pertama memiliki minat yang rendah dalam pembelian merchandise K-Pop, sementara kelompok kedua memiliki minat yang tinggi. Analisis ini membantu untuk memahami minat Customer dan memberikan informasi penting bagi toko merchandise K-Pop untuk meningkatkan penjualan dan strategi pemasaran.
Studi Kelayakan Bisnis Jeonju Cooking Class di Kota Bandung
Authors: Angelia Stefanie , Wowor Wulanmeiaya
Published: March 2024

Jeonju Cooking Class merupakan usaha yang menawarkan kelas memasak dengan fokus pada masakan tradisional Korea, khususnya yang berasal dari kota Jeonju. Penelitian ini dilakukan untuk mengevaluasi potensi pasar, aspek finansial, operasional, dan sosial yang terkait dengan pendirian Jeonju Cooking Class di lingkungan Kota Bandung. Tujaun dari penelitian ini adalah untuk melakukan studi kelayakan bisnis Jeonju Cooking Class di Kota Bandung. Metode penelitian ini melibatkan survei pasar untuk mengidentifikasi minat masyarakat terhadap kelas memasak hidangan Korea, analisis keuangan untuk menilai potensi profitabilitas bisnis, serta studi operasional untuk mengidentifikasi aspek logistik dan teknis dari penyelenggaraan kelas memasak. Data primer dikumpulkan melalui kuesioner dan wawancara dengan calon peserta. Sementara itu, data sekunder diperoleh dari sumber terpercaya terkait tren pasar dan potensi pesaing di industri kuliner Kota Bandung. Hasil penelitian menunjukkan bahwa terdapat minat yang signifikan dari masyarakat Kota Bandung terhadap cooking class Korea, terutama yang menonjolkan masakan tradisional Korea. Analisis keuangan menunjukkan bahwa bisnis ini memiliki potensi profitabilitas yang menjanjikan, dengan proyeksi pendapatan yang dapat menutupi biaya operasional dan investasi awal. Selain itu, studi operasional mengidentifikasi aspek-aspek teknis dan logistik yang perlu diperhatikan untuk menjamin penyelenggaraan kelas memasak yang efisien dan berkualitas. Kesimpulannya, berdasarkan hasil studi kelayakan ini, pendirian bisnis Jeonju Cooking Class di Kota Bandung dianggap layak secara aspek bisnis. Disarankan agar pengelola mempertimbangkan strategi pemasaran yang efektif, mengoptimalkan proses operasional, dan menjaga kualitas kelas memasak untuk memastikan keberlanjutan dan kesuksesan bisnis ini di pasar Kota Bandung.
Sistem Akuntansi Persediaan Barang Pada CV. Sumber Karya Nusantara
Authors: Sianipar Johanes Bernando , Nasution Minasari , Hanafi Purba Nasri
Published: March 2024

Era 4.0 (Revolusi Industri) ini, perkembangan ekonomi yang semakin pesat serta tingkat persaingan yang semakin ketat mendorong para pelaku bisnis untuk lebih peka terhadap perubahan yang terjadi dalam dunia bisnis. CV. Sumber Karya Nusantara adalah badan usaha milik swasta yang bergerak dalam bidang produksi dan distribusi plastik untuk daerah Medan dan sekitarnya. Metode pengumpulan data merupakan cara yang ditempuh penulis untuk mengumpulkan data yang relevan yang nantinya akan digunakan dalam penelitian ini. Metode pengumpulan data yang digunakan penulis dalam penelitian ini adalah Dokumentasi dan Wawancara, Dari data yang diperoleh kemudian disajikan berdasarkan analisis secara umum. Analisis data yang digunakan adalah secara kualitatif yaitu analisis yang tidak berdasarkan pada perhitungan statistik yang berbentuk kualitatif (jumlah) akan tetapi dalam bentuk pertanyaan dan uraian yang selanjutnya akan disusun secara sistematis.Metode pencatatan akuntansi yang digunakan oleh CV.Sumber Karya Nusantara terhadap bahan baku adalah metode buku (perpectual). Berarti metode pencatatan akuntansi yang ada pada CV.Sumber Karya Nusantara sudah sesuai dengan yang ada di teori. Untuk menghilangkan kelemahan-kelemahan dari sistem akuntansi persediaan yang ada sebaiknya menggunakan sistem persediaan yang sudah di desain ulang.
Analisis Sistem Penggajian dan Pengupahan pada PT Danamas Insan Kreasi Andalan (DIKA) Cabang Medan
Authors: Hasanah Maulida , Br. Ginting Berupilihen , Hanafi Purba Nasri
Published: March 2024

Tenaga kerja merupakan bagian penting dalam sebuah perusahaan karena tenaga kerja sebagai penggerak utama yang menjalankan kebijakan perusahaan termasuk di dalamnya mengambil sebuah keputusan atau memberi jasa dan pelayanan yang baik kepada perusahaan. Gaji memiliki salah satu pengaruh yang sangat besar karena dapat mempengaruhi sikap dan sifat dalam menjalankan tugas dan tanggung jawabnya. Penelitian ini dilakukan pada PT Danamas Insan Kreasi Andalan (DIKA) cabang Medan, yang bertempat di Jalan Baja Raya No. 2 Kelurahan Petisah Tengah, Kecamatan Medan Petisah, Kota Medan – Sumatera Utara. Tujuan penelitian ini  adalah untuk mengetahui sistem akuntansi penggajian dan pengupahan pada PT Danamas Insan Kreasi Andalan (DIKA) cabang Medan. Penelitian ini termasuk penelitian penelitian deskriptif.  Teknik pengumpulan data penulis dengan menggunakan wawancara, dokumen dan study kepustakaan. Hasil penelitian menunjukkan sistem akuntansi pada PT Danamas Insan Kreasi Andalan (DIKA) cabang Medan sudah berjalan dengan baik.
Hubungan Empiris Chat GPT Pada Pembelajaran Mahasiaswa Bisnis Digital Di STMIK Pelita Nusantara Medan
Authors: Lubis Risa Kartika , Zein Ahmad , Salsabiela Indira
Published: March 2024

Perkembangan teknologi digital terutama artificial intelligence pada saat ini sudah berkembang sangat pesat dan sudah merambah pada teknologi pembelajaran. Salah satunya adalah berkembangnya Chat GPT yang sudah mulai banyak digunakan oleh kalangan mahasiswa dan berpengaruh pada tingkat pembelajaran mahasiswa. Penelitian ini bertujuan untuk menguji Hubungan Empiris Chat GPT Pada Pembelajaran Mahasiaswa Bisnis Digital Di STMIK Pelita Nusantara Medan. Penelitian ini menggunakan metode deskriptif dengan pendekatan kuantitatif serta akan diukur menggunakan Skala Likert. Penelitian menunjukan bahwa sebagian besar mahasiswa memberikan respon positif terhadap penggunaan ChatGPT karena sangat membantu proses pembelajaran di dalam perkuliahan. Hal tersebut dibuktikan dengan hasil penelitian yang semua nilai variabel valid 100 %. Mahasiswa yang merasakan keberhasilan dalam menggunakan ChatGPT, merasa bahwa alat ini diterapkan dengan baik, berinteraksi secara efektif, dan mudah diakses, kemungkinan besar akan merasakan dampak positif pada proses pembelajaran mereka.
UNDERSTANDING FAMILY DYNAMICS AND COPING STRATEGIES IN RESPONSE TO SEXUAL ASSAULT FREQUENCY AND DURATION
Authors:   Faculty of Psychology and Education, University Malaysia Sabah, Fahrudin Husmiati , Sulaiman Mohd Dahlan ,   Center for Research and Social Welfare Development, Jakarta, Indonesia
Published: March 2024

This study investigates the interplay between family dynamics, coping strategies, and the duration and frequency of sexual assault experienced by individuals. Utilizing qualitative interviews and quantitative surveys, the research explores how family characteristics such as communication patterns, support systems, and socio-economic backgrounds influence coping mechanisms in response to sexual assault. Findings reveal nuanced relationships between family dynamics and coping strategies, highlighting the significance of familial support, interpersonal relationships, and cultural influences in shaping individuals' responses to sexual assault experiences. The study contributes to a deeper understanding of the complex interactions between family environments and coping behaviors in the aftermath of sexual violence.
UNLOCKING EMPLOYEE ENGAGEMENT: EXAMINING REWARD MANAGEMENT'S IMPACT ON MOTIVATION AND TURNOVER INTENTIONS
Authors:   Assistant Professor, Department of Business Administration, Jubail University College, SaudiArabia, Shahid Muhammad , Siddiqui Humera ,   Assistant Professor, Department of Management Sciences, University of Gujrat, Pakistan
Published: March 2024

Employee engagement and retention are crucial factors for organizational success. This study explores the relationship between reward management, motivation, and turnover intentions in the workplace. By examining how reward systems influence employee motivation and subsequent turnover intentions, this research sheds light on strategies to enhance employee engagement. Through surveys and statistical analysis, data from a sample of employees reveal the mediating role of motivation in the relationship between reward management and turnover intentions. The findings suggest that effective reward management positively impacts motivation, consequently reducing turnover intentions. Insights from this study offer practical implications for organizations striving to enhance employee engagement and retention.
UNPACKING THE RELATIONSHIP: FDI, ECONOMIC GROWTH, AND SERVICE SECTOR VALUE ADDITION IN GHANA
Authors:   Institute of Entrepreneurship and Finance, Kumasi Polytechnic, Kumasi-Ghana, Adam Sahabi
Published: March 2024

This study delves into the intricate relationship between Foreign Direct Investment (FDI), economic growth, and service sector value addition in Ghana, aiming to provide insights into the dynamics shaping the country's economic landscape. Ghana has witnessed a surge in FDI inflows in recent years, particularly in the service sector, which has become a key driver of economic development. Through a comprehensive analysis of macroeconomic data and sector-specific trends, this research explores the impact of FDI on economic growth and the value addition within the service sector. Employing quantitative methods and econometric modeling, the study examines the causal relationships and dynamics among FDI, GDP growth, and service sector value addition. The findings shed light on the role of FDI in stimulating economic activity, fostering innovation, and enhancing productivity within the service sector, thereby contributing to overall economic growth and development in Ghana.
UNLOCKING E-BANKING SUCCESS: EXPLORING MANAGERIAL, FINANCIAL, AND SECURITY FACTORS IN MALAYSIAN BANKS
Authors:   Doctor of Business Administration, Multimedia University of Malaysia, Fatemi Seyed Hajar
Published: March 2024

This study investigates the determinants of e-banking success in Malaysian banks, with a focus on managerial, financial, and security factors. As the banking sector increasingly embraces digitalization, understanding the key drivers of e-banking success is essential for enhancing customer satisfaction, operational efficiency, and competitive advantage. Through a comprehensive analysis of managerial strategies, financial investments, and security measures, this research aims to uncover the factors that contribute to successful e-banking implementation and adoption. Drawing upon empirical data and insights from Malaysian banks, the study employs quantitative and qualitative methods to explore the relationships between managerial decisions, financial resources, security protocols, and e-banking performance. The findings shed light on the critical factors that shape e-banking success in Malaysia and provide actionable recommendations for banks to optimize their e-banking services.
ASSESSING THE INFLUENCE OF PRODUCT DEVELOPMENT STRATEGIES ON PERFORMANCE WITHIN KENYA'S SUGAR INDUSTRY
Authors:   Department of Economics, Accounting & Finance, School of Business Jomo Kenyatta University College of Agriculture and Technology, Kenya, Rambo Prof. Benson
Published: March 2024

This study investigates the influence of product development strategies on performance within Kenya's sugar industry. With the challenges facing the sugar sector in Kenya, including fluctuating market demands, competition, and regulatory pressures, the adoption of effective product development strategies becomes imperative for sustained growth and competitiveness. Through a comprehensive analysis of the relationships between product development initiatives and performance indicators such as market share, profitability, and customer satisfaction, this research aims to provide insights into the effectiveness of product development strategies within the Kenyan sugar industry. Drawing upon empirical data and industry insights, the study employs both quantitative and qualitative methods to explore the impact of product innovation, diversification, and differentiation on performance outcomes. The findings shed light on the critical role of product development strategies in enhancing the competitiveness and sustainability of the sugar industry in Kenya.
ASSESSMENT OF PATIENT PREFERENCES FOR CLINICAL ATTIRE IN MILITARY HEALTHCARE FACILITIES: A STUD IN KUWAIT
Authors:   Medical Services Authority, Ministry of Defense, Kuwait, Albagdady Ali Ahmad , Alotaibi Ahmad ,   National Centre for Health Information, Ministry of Health, Kuwait
Published: March 2024

This study investigates patient preferences for clinical attire in military healthcare facilities in Kuwait. Understanding patient preferences regarding the attire worn by healthcare professionals is crucial for enhancing patient satisfaction and optimizing the healthcare environment. A survey-based approach was employed to assess patient perceptions and preferences regarding various aspects of clinical attire, including professionalism, cleanliness, and comfort. Data were collected from a sample of patients attending military healthcare facilities in Kuwait using structured questionnaires. The findings provide insights into patient attitudes toward clinical attire and highlight areas for improvement in aligning healthcare practices with patient preferences.
COMPARATIVE PHYSICOCHEMICAL EVALUATION OF ASHWAGANDHARISTA FORMULATIONS: TRADITIONAL VS. MODERN METHODS
Authors:   Dadasaheb Balpande College of Pharmacy, Near Swami Samarth Mandir, Besa, Nagpur, M.S., India, Babu B. Vijay
Published: March 2024

Ashwagandharista, a traditional Ayurvedic formulation, is prepared using traditional and modern methods. This study aims to compare the physicochemical properties of Ashwagandharista formulations prepared by traditional and modern methods. Samples were collected from both traditional and modern manufacturing units. Physicochemical parameters such as pH, density, viscosity, total solid content, and ash value were evaluated according to standard procedures. The results revealed significant differences in various physicochemical parameters between the traditional and modern formulations of Ashwagandharista. The findings suggest that the manufacturing method significantly influences the physicochemical properties of Ashwagandharista formulations.
EXPLORING MACULAR AMYLOIDOSIS IN PHOTOEXPOSED AREAS: CLINICAL AND HISTOLOGICAL INSIGHTS
Authors:   Department of Dermatology, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, MS, India, Pande Milind , Meshram Sushil ,   Department of Dermatology, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur,MS, India
Published: March 2024

Macular amyloidosis is a dermatological condition characterized by the deposition of amyloid proteins in the skin, particularly in photoexposed areas. This study offers clinical and histological insights into macular amyloidosis, focusing on its presentation, diagnosis, and histopathological features. A comprehensive review of clinical cases and histological specimens was conducted, highlighting common clinical manifestations and characteristic histological findings associated with macular amyloidosis. The study sheds light on the pathogenesis and etiology of the condition, exploring the role of chronic sun exposure and genetic predisposition. Additionally, diagnostic challenges and therapeutic options for macular amyloidosis are discussed, emphasizing the importance of accurate diagnosis and multidisciplinary management approaches.
LIVER FUNCTION ABNORMALITIES AMONG SUBSTANCE ABUSERS: AN IN-DEPTH EXAMINATION
Authors:   Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Egypt, Mostafa Mohamed , Nwidu Ekramy ,   Department of Internal Medicine, Mansoura Nephrology and Dialysis Unit, Egypt
Published: March 2024

Liver function abnormalities are prevalent among individuals with substance abuse disorders, posing significant health risks and complications. This comprehensive analysis examines the spectrum of liver function derangements observed in substance abusers, encompassing alterations in enzyme levels, bilirubin metabolism, and synthetic function. Various substances, including alcohol, illicit drugs, and prescription medications, contribute to hepatotoxicity through different mechanisms, leading to hepatic inflammation, fibrosis, and cirrhosis. The review explores the pathophysiology underlying liver damage induced by substance abuse, emphasizing the interplay between oxidative stress, inflammation, and metabolic dysregulation. Diagnostic modalities for assessing liver function and monitoring disease progression are discussed, highlighting the importance of early detection and intervention to mitigate liver-related complications. Additionally, the impact of substance abuse treatment interventions on liver function outcomes is addressed, emphasizing the need for integrated care models that address both addiction and hepatic health.
EXPLORING HYPOTHYROID GOITRE DUE TO EXCESS IODINE AMONG SOUTH INDIANS
Authors:   Institute of Biochemistry, Madras Medical College, Chennai, Tamil Nadu, India, Pichandi Ramadevi , Reddy Suresh ,   Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India
Published: March 2024

Hypothyroid goitre attributed to excess iodine intake poses a significant health concern among South Indians. This study aims to explore the prevalence, clinical manifestations, and contributing factors associated with hypothyroid goitre induced by excess iodine among individuals residing in South India. A comprehensive review of medical records and clinical data was conducted among patients diagnosed with hypothyroid goitre at healthcare facilities across South India. The analysis included assessments of thyroid function, iodine levels, dietary habits, and demographic characteristics. Findings shed light on the epidemiology and clinical implications of hypothyroid goitre associated with excess iodine intake in the South Indian population.
REVOLUTIONIZING DRUG DELIVERY: CUBOSOMES NANOPARTICLES AT THE FOREFRONT
Authors:   Department of Pharmaceutical Technology and Biochemistry, Faculty of Chemistry, Gdansk University of Technology, 80-233 Gdańsk, Poland, Kallingal Akshay
Published: March 2024

Cubosomes nanoparticles represent an innovative approach in drug delivery systems, offering unique advantages over traditional delivery methods. This paper explores recent advancements in cubosomes nanoparticles technology and their potential applications in pharmaceutical formulations. We discuss the structural characteristics, fabrication methods, and key properties of cubosomes nanoparticles, highlighting their ability to encapsulate hydrophilic and hydrophobic drugs, enhance drug stability, and facilitate controlled release. Furthermore, we examine the promising applications of cubosomes nanoparticles in targeted drug delivery, vaccine delivery, and theranostics. The review concludes with insights into future directions and challenges in the development and translation of cubosomes nanoparticles-based drug delivery systems.
UNRAVELING INDEPENDENT COMPONENT ANALYSIS FOR TENSOR-VALUED DATA
Authors:   Department of Mathematics and Statistics, University of Turku, Finland, Nordhausen Joni Oja
Published: March 2024

In the realm of data analysis, the exploration of independent component analysis (ICA) for tensor-valued data represents a burgeoning area of research. Unlike traditional scalar or vector data, tensor-valued data capture complex relationships and structures across multiple dimensions. Independent component analysis offers a powerful framework for decomposing tensor-valued data into statistically independent components, revealing underlying patterns and dependencies that may remain obscured in raw data representations. This paper delves into the application of ICA techniques specifically tailored for tensor-valued data, exploring theoretical foundations, algorithmic implementations, and practical considerations. Through a comprehensive review and analysis, we elucidate the potential of ICA in uncovering hidden structures and sources of variability within tensor-valued datasets across diverse domains.