bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH MOTIVASI KERJA DAN PELATIHAN KERJA TERHADAP KINERJA PEGAWAI BADAN PENGAWAS PEMILIHAN UMUM DI PROVINSI LAMPUNG
Authors: Sari Esmeralda Galuh Permata , Ahluwalia Larasati
Published: September 2023

Penelitian ini bertujuan untuk : mengetahui pengaruh motivasi kerja terhadap kinerja pegawai Badan Pengawas Pemilihan Umum Di Provinsi Lampung secara parsial, mengetahui pengaruh pelatihan kerja terhadap kinerja pegawai Badan Pengawas Pemilihan Umum Di Provinsi Lampung secara parsial. Populasi penelitian ini adalah pegawai yang bekerja di Badan Pengawas Pemilihan Umum Di Provinsi Lampung, dengan sampel 100 orang responden yang merupakan pegawai Badan Pengawas Pemilihan Umum Di Provinsi Lampung. Pengujian prasyarat meliputi uji validitas dan uji reliabilitas. Teknik analisis data yang dilakukan yaitu uji parsial (uji t).Hasil penelitian ini adalah motivasi kerja berpengaruh positif dan signifikan terhadap kinerja pegawai Badan Pengawas Pemilihan Umum Di Provinsi Lampung dengan nilai thitung yang ditunjukan yaitu sebesar 4.502 dan tingkat signifikan 0.000 dengan batas signifikan 0.05 nilai signifikan lebih kecil dari batas signifikansi. pelatihan kerja berpengaruh positif dan signifikan terhadap kinerja pegawai Badan Pengawas Pemilihan Umum Di Provinsi Lampung dengan nilai thitung yang ditunjukan yaitu sebesar 3.288 dan tingkat signifikan 0.001 dengan batas signifikan 0.05 nilai signifikan lebih kecil dari batas signifikansi. Data dalam penelitian ini diolah dengan menggunakan SPSS versi 16.0 for windows.
Pengaruh Gaya Hidup dan Kualitas Produk Pada Keputusan Pembelian Starbucks Coffee
Authors: Amelia Yunita , Sukmasari Dewi
Published: September 2023

Penelitian ini bertujuan untuk menguji pengaruh gaya hidup dan kualitas produk pada keputusan pembelian Starbucks coffee. Metode analisis yang digunakan adalah analisis kuantitatif. Teknik analisis data yang digunakan adalah uji validitas dan uji reliabilitas, analisis linier berganda serta pengujian hipotesis. Pengambilan sampel menggunakan metode purposive sampling dengan 110 responden yaitu konsumen yang pernah membeli produk Starbucks. Hasil penelitian ini menunjukkan bahwa secara parsial gaya hidup berpengaruh positif pada keputusan pembelian Starbucks coffee, kualitas produk secara parsial berpengaruh positif terhadap keputusan pembelian Starbucks coffee. Hasil penelitian secara simultan bahwa gaya hidup dan kualitas produk berpengaruh positif pada keputusan pembelian Starbucks coffee.
PENGARUH ONLINE CUSTOMER REVIEW DAN ONLINE CUSTOMER RATING TERHADAP KEPERCAYAAN KONSUMEN (Studi kasus: Pengguna Shopee di Bandar Lampung)
Authors: Kamisa Nur , Putri Almira Devita , Novita Dian
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh online customer review dan online customer rating terhadap kepercayaan konsumen. Penelitian ini menggunakan pendekatan yaitu kuantitatif. Populasi pada penelitian ini merupakan konsumen yang pernah melakukan pembelian minimal 3 kali pada Marketplace Shopee. Jumlah sampel yang digunakan dalam penelitian ini berjumlah 100 responden. Sumber data yang digunakan dalam penelitian ini dengan menggunakan data primer yang diperoleh dari penyebaran kuesioner kepada responden. Teknik analisis data dalam penelitian ini menggunakan analisis jalur atau path analysis dengan menggunakan SPSS versi 16. Hasil penelitian ini menunjukkan bahwa online customer review dan online customer rating berpengaruh positif dan signifikan terhadap kepercayaan konsumen pada Marketplace Shopee.
PENGARUH LIKUIDITAS, PROFITABILITAS, DAN RASIO PASAR TERHADAP HARGA SAHAM (STUDI KASUS PADA PERUSAHAAN INDEKS LQ45 YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2021)
Authors: Imelda Amelia , Sihono Shiwi Angelica Cindiyasari , Anggarini Defia Riski
Published: September 2023

Penelitian ini bertujuan untuk menganalisis pengaruh likuiditas, profitabilitas dan rasio pasar terhadap harga saham. Rasio-rasio keuangan yang diteliti yaitu Current Ratio (CR), Return on Asset (ROA), dan Earning Per Share (EPS) sebagai variabel independen dan harga saham sebagai variabel dependen. Sampel yang digunakan dalam penelitian ini adalah perusahaan yang masuk dalam Indeks LQ45 yang terdaftar pada BEI dari periode 2017-2021. Metode yang digunakan dalam pengambilan sampel adalah metode purposive sampling, berdasarkan kriteria yang ditetapkan diperoleh sampel sebanyak 25 perusahaan selama 5 tahun, sehingga observasinya adalah 125. Hasil penelitian ini menunjukkan bahwa likuiditas yang diproksikan dengan CR tidak berpengaruh terhadap harga saham, sedangkan profitabilitas yang diproksikan dengan ROA dan rasio pasar yang diproksikan dengan EPS berpengaruh positif terhadap harga saham pada perusahaan Indeks LQ45 Periode 2017-2021.Kata Kunci : Likuiditas, Profitabilitas, Rasio Pasar, Harga Saham
ANTESEDEN DAN KONSEKUEN PEMBERDAYAAN PSIKOLOGIS PADA KARYAWAN START-UP DIGITAL INDONESIA KEPEMIMPINAN PEMBERDAYAAN DAN KREATIFITAS
Authors: Alif Muhammad Ikhsan , Prabowo Agung , Ahluwalia Larasati
Published: September 2023

Tujuan dari penelitian ini adalah menjelaskan pengaruh antara kepemimpinan pemberdayaan pada kreatifitas sebagai anteseden dan konsekuen dari pemberdayaan psikologis. Penelitian ini berperan dalam mengisi kesenjangan kajian empiris dengan menjelaskan secara dinamis hubungan antara kepemimpinan pemberdayaan, kreatifitas, serta pemberdayaan psikologis. Karyawan pada Start-up Digital didominasi oleh generasi milenial yang merupakan generasi yang dikategorikan dengan generasi yang kreatif dan akrab dengan internet, kajian ini fokus pada diskusi terkait dengan pengaruh kepemimpinan pemberdayaan dan kreatifitas sebagai anteseden dan konsekuen dari pemberdayaan psikologis dengan kajian khusus terkait pemberdayaan. Studi akan menggunakan survei dengan obyek pada generasi milenial yang bekerja dibidang Start-up digital yang ada di Indonesia. Alat analisis akan menggunakan Structural Equation Modelling (SEM) dengan pendekatan Partial Least Square (PLS) untuk mengistimasi model penelitian
PERAN MEDIASI KEPUASAN KERJA PADA PENGARUH BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN OPERASIONAL PERKEBUNAN KELAPA SAWIT
Authors: Yansyah Deli , N.H Prasis Damai
Published: September 2023

Penelitian bertujuan untuk mengetahui pengaruh budaya organisasi terhadap kepuasan kerja dan kinerja karyawan operasional perkebunan kelapa sawit di Katari Agro Estate milik PT Bumitama Gunajaya Agro, Kalimantan Tengah. Sampel penelitian dipilih dengan metode accidental sampling sebesar 200 responden dari 428 populasi. Data dikumpulkan menggunakan kuesioner kemudian dianalisis menggunakan SEM WarpPLS. Hasil analisis membuktikan budaya organisasi berpengaruh langsung dan sangat signifikan terhadap kepuasan kerja karyawan operasional. Budaya organisasi berpengaruh langsung dan sangat signifikan terhadap kinerja karyawan operasional. Kepuasan kerja karyawan operasional terbukti memiliki hubungan positif dengan peningkatan kinerjanya. Budaya organisasi berpengaruh tidak langsung dan sangat signifikan terhadap kinerja karyawan melalui kepuasan kerja. Hasil penelitian berimplikasi, pertama, memberikan kontribusi sebagai pengayaan literatur di bidang industri perkebunan kelapa sawit; kedua, hasil penelitian menjadi wawasan yang bermanfaat bagi perusahaan perkebunan kelapa sawit untuk membuat strategi meningkatkan kepuasan karyawan dan kinerja karyawan. Dengan mengetahui faktor-faktor penentu kepuasan kerja, perusahaan dapat meningkatkan peran pimpinan (mandor, asisten dan manager), memberikan kesempatan untuk berkembang bagi karyawan dan mandor, dan menjaga hubungan kekeluargaan antara karyawan dan perusahaan.
PENGARUH PROMOSI DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN MEMILIH PRODUK TABUNGAN EMAS DI PEGADAIAN KOTA BANDAR LAMPUNG
Authors: Pratama Anton , Putri Almira Devita , Suwarni Emi
Published: September 2023

Penelitian ini bertujuan untuk menganalisis Pengaruh Promosi dan Kualitas Pelayanan Terhadap Keputusan Memilih Produk Tabungan Emas di Pegadaian kota Bandar Lampung. Metode yang digunakan adalah analisis deskriptif dengan pendekatan kuantitatif. Penelitian menggunakan data primer kuesioner. Populasi dalam penelitian ini adalah konsumen yang telah menggunakan produk tabungan emas PT. Pegadaian di Kota Bandar Lampung. Teknik pengambilan sampel menggunakan teknik purposive sampling dengan rumus Hair et al yaitu sebanyak 130 nasabah, yang kemudian diolah menggunakan aplikasi SPSS 26. Pengujian dilakukan dengan uji validitas, uji reliabilitas, analisis regresi linier berganda, uji t (parsial), uji f (simultan), dan koefisien determinasi (r2 ). Hasil menunjukan bahwa Promosi berpengaruh positif dan signifikan terhadap Keputusan Memilih, Kualitas Pelayanan berpengaruh positif dan signifikan terhadap Keputusan Memilih, dan  Promosi dan Kualitas Pelayanan secara bersama-sama berpengaruh positif dan signifikan terhadap Keputusan Memilih Produk Tabungan Emas di Pegadaian Kota Bandar Lampung.Kata kunci: Promosi, Kualitas Pelayanan dan Keputusan Memilih, Tabungan Emas, dan Metode Kuantitatif
PENGARUH GAYA KEPEMIMPINAN DAN LINGKUGAN KERJA TERHADAP KEPUASAN KERJA KARYAWAN PADA PERUSAHAAN LEASING DI BANDAR LAMPUNG
Authors: Dika San , Permatasari Berlintina , Maruti Ahmad Djoko
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh gaya kepemimpinan dan lingkungan kerja terhadap kepuasan kerja karyawan Perusahaan Leasing di Kota Bandar Lampung. Jenis penelitian asosiatif atau penelitian berdasarkan hubungan yang bertujuan untuk mengetahui hubungan antar dua variable atau lebih. Populasi yang dipilih dalam penelitian ini adalah seluruh karyawan perusahaan leasing di Kota Bandar Lampung. Metode penarikan sample yang digunakan dalam penelitian ini adalah metode non probability sampling dengan menggunakan teknik proporsional random sampling sebanyak 200 orang. Hasil analisis dari penelitian ini menunjukkan bahwa gaya kepemimpinan dan lingkungan kerja secara bersama-sama berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan perusahaan leasing di Kota Bandar Lampung. Secara parsial gaya kepemimpinan berpengaruh positif dan signifikan terhadap kepuasan kerjakaryawan. Sedangkan lingkungan kerja berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan.
Character Education : Direction and Priority for National Character Development in Indonesia
Authors: Sakban Abdul , Sundawa Dadang
Published: September 2023

This study aims to analyze how national character development is implemented and its direction, goals, and top priorities in Indonesia. This study used the systematic literature review method with a qualitative approach. Fifteen reputable national journal (Sinta) articles and ten reputable international journal (Scopus) articles were looked at for 25 pieces. The data analysis technique used in this research was thematic analysis. Thematic analysis is one way to identify patterns and find themes through the researchers' data. The results of this study showed that Indonesians developed their national character by getting used to participating in leisure and intra-curricular activities and learning. The direction of building a solid national identity was done in three stages. The consolidation stage focuses on ensuring people understand the Pancasila philosophy, the stabilization stage in various subjects, curriculum and school, family and community participation, and the development stage to increase the inauguration of Pancasila ideology-based curriculum. The most crucial part of building national character was ensuring kids grow up to be good, tolerant, and creative citizens, work together, and have integrity and a global outlook.
Leading Managing Transformation to Digital University in Indonesian Context
Authors: Anggoro Sigit , Nurdin Diding , Sururi Sururi
Published: September 2023

This research aims to analyze the management of digital transformation in the context of Indonesian universities. The explanatory research was employed, utilizing a survey questionnaire administered to a randomly selected sample of 302 individuals comprising members of the ICT alignment team, change team, staff, and lecturers within the PTS environment in the LLDIKTI IV area, Banten & West Java provinces. The data analysis in this study employed covariance-based structural equation modeling (SEM) procedures. Findings from this research indicate that achieving a radical transformation from traditional campus settings to digitalization, while adopting an incremental approach towards a smart university necessitates effective leadership and cultural support. A leadership coalition capable of institutionalizing new values, which subsequently become norms and guide the organizational culture, empowers members and fosters motivation for change oversight and participation. Ultimately, successful change management towards a smart university relies on leadership and culture, collectively institutionalized as a shared mental program, thereby shaping the meaningful trajectory towards a smart university.
Controversial Mathematical Issues : Problem Based Learning on Critical Thinking
Authors: Suryawan I Putu Pasek , Nitiasih Putu Kerti , Riastini Putu Nanci , Sudiarta I Gusti Putu
Published: September 2023

This study aims to describe the study of controversial mathematical issues as problems that facilitate cognitive conflict and metacognitive knowledge. The research method used is a Systematic Literature Review with the process of identifying, assessing, and interpreting the available research facts, with the research object being a mathematical problem. The research design used was to summarize, review, and analyze 27 articles relevant to the research object in Sinta-accredited journals, indexed by Scopus and Web of Science. Then, these articles were analyzed using content analysis techniques. From the Systematic Literature Review, the results showed that controversial problems were different from metacognitive problems and the problems that facilitate cognitive conflict. These unique problems suit the mathematical problems’ criteria and support the application of Problem-Based Learning.
Problem Decomposition Skills, Mathematical Maturity, and Their Relation to Mathematics Problem-Solving in A Computer Science Learning Class
Authors: Prabawa Harsa Wara , Rosjanuardi Rizky , Nurlaelah Elah
Published: September 2023

This study investigates how students represent ideas when decomposing mathematical problems and how their mathematical maturity influences the problem-solving process. The method used in this research is explorative research. The subject of this research was six Computers Science Education Department students at the Indonesian Education University. The instrument used task-based interviews. Data analysis used the concept of Miles and Huberman, including data reduction, presentation, and drawing conclusions. The research found that problem decomposition skills, mathematical maturity, and their relation to solving mathematical problems in computer science learning classes influenced one another. Decomposition skills were influenced by how basic math skills are taught, so they can affect students' maturity in solving math problems.
Navigating the Digital Wave of Learning : Indonesian Students’ Perceptions on Emotional during Learning Process
Authors: Soesanto Robert Harry , Dwikristanto Yanuard Putro , Napitupulu Bernard Wijaya
Published: September 2023

This study aims to uncover students' perceptions of digital learning in terms of emotions. The study is conducted in the context of the post-pandemic era. The research used a cross-sectional design study with a qualitative approach. The research subjects consist of 112 students aged 18-24 years, distributed in several regions of Indonesia. The data were collected by using a Microsoft Forms questionnaire. Data analysis is carried out using a multi-stage process and pattern coding of responses. The findings of this study indicate the presence of themes related to both positive moments and emotional challenges experienced by students during digital learning. Based on these findings, this study suggests that lecturers should continue to practice recognizing students' contexts so that pedagogical strategies through the application of technology can be implemented to the fullest extent.
Reliability and Validity of RIASEC Holland's on Predicting Success Career for Vocational Students
Authors: Thamrin Thamrin , Giatman Giatman , Syah Nuhasan
Published: September 2023

This study aims to test the reliability and construct validity of the Holland RIASEC instrument, which is a psychometric approach to examining human personality based on six domains, namely Realistic, Investigative, Artistic, Social, Enterprising, and Conventional. This instrument is used to measure and recommend the type of work that suits students’ personalities in the vocational field.  This study uses a non-experimental method with a quantitative research approach and involved 178 vocational students at Universitas Negeri Padang. The data analysis techniques used are Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA). The results showed that the reliability of the six Indonesian version of Holland’s personality was quite high, with Cronbach’s alpha values between 0.601 and 0.699. In addition, there was a positive correlation between Holland’s personality. Construct validity showed a fit model with a p-value of 0.26972 and RMSEA = 0.02. This indicates that the empirical data is in line with the RIASEC typology model, which is the theoretical concept.
Development of Integrated Writing Materials Based on Multiliteracies and High-Order Thinking Skills
Authors: Adiredja Rajji K. , Hartati Tatat , Riyana Cepi
Published: September 2023

This study aimed to develop Integrated Writing Materials Based on High-Order Thinking Skills and Multiliteracies. This research utilized the D&D research method with the ADDIE design (Analysis, Design, Develop, Implementation, Evaluation). The subjects in this study are Elementary Schools located in the Garut regency. The instruments in this study include expert validation questionnaires, teacher and student response questionnaires, and test instruments to assess high-order thinking skills. Data analysis is conducted using a mixed methods approach. The results of developing multiliteracy-based teaching materials and high-level thinking skills obtained a good category from expert validation, teacher responses, and student responses. Subsequently, the teaching material developed in this research was piloted to students to assess its effectiveness on students' high-order thinking skills. The results of the high-order thinking skills test after using the developed teaching material show that the average N-gain score at school 1 is 78%, which falls into the highly effective category. The average N-gain score at school 2 is 79%, also classified as highly effective. Lastly, the average N-gain score at school 3 is 81%, once again falling into the highly effective category. From these results, it can be concluded that the development of multiliteracy-based teaching materials effectively enhances students' higher-order thinking abilities.
Exploring Online Evaluation Development : A Bibliometric Approach
Authors: Sunarto M.J. Dewiyani , Hariadi Bambang , Koentjoro Edo Yonathan , Effendi Pradita Maulydia , Lemantara Julianto , Soetomo Erwin
Published: September 2023

This study aims to explore the growth of online evaluation to give a comprehensive overview and identify research in the trending field and recommendations for further research that can be developed. This study used a bibliometric approach with descriptive methods from documents in the last ten years of the Scopus database. Quantitative and qualitative analyses were performed using data collected from numerous scientific reference sources to determine development trends, the most popular subjects, and the contributions of eminent scholars. The analysis’s findings indicated that student evaluations of courses and teachers were the most commonly discussed subjects. However, in subsequent years, interest had changed to e-learning, higher education, assessment, and evaluation. Recent scientific articles further emphasized the significant impact Covid-19 had had on altering the evaluation process, placing particular attention on online learning. With the advancement of research on artificial intelligence in education, this study also outlined prospects and challenges in online evaluation research. We found thirteen publications covering Chat GPT for educational purposes by obtaining data from articles published in the most recent year in the Scopus database. This study offered a comprehensive view of the evolution of online evaluation through a bibliometric method, covered pertinent topics, and provided a basis for academics to carry out the most recent research in this area.
Deductive Thematic Analysis of Educational Leadership Styles in Indonesian Religious School
Authors: Lumban Gaol Nasib Tua , Lumban Tobing Lasmaria , Pardede Vera Winda , Bukidz Danny Philipe , Sianturi Murni , Purba Enricho Fiktorando
Published: September 2023

This research aims to reveal the principal leadership styles of Christian religious secondary schools in Indonesia. This study used a qualitative descriptive approach. The informants in the study were teachers, vice principal, and school principal in a Christian religious secondary school. The data was collected through semi-structured interviews. Subsequently, the data was analyzed using deductive thematic analysis, and its validity was checked using triangulation. The study results showed that the principal implemented five leadership styles in a Christian religious secondary school: paternalistic, charismatic, servant, transformational, and autocratic. This study indicates that leadership styles are urgently needed to improve Christian religious education quality; however, they are still limited in the literature. Therefore, the Ministry of Religion Affairs, particularly the Directorate General for Christian Community Guidance, should create a concise policy on leadership competency for Christian religious school principals. Furthermore, each principal in Christian religious schools should carry out various leadership styles properly to enhance management and leadership practices in their educational organizations.
Revitalizing Civic Education in Higher Education : Student Perspectives, Identity, and Reconstruction Strategies
Authors: Subkhan Muhamad , Komalasari Kokom , Abdulkarim Aim , Bestari Prayoga
Published: September 2023

This study aims to analyze student perceptions regarding civic education learning in tertiary institutions, student perceptions regarding their national identity as Indonesians, and considerations needed for the reconstruction of civic education in Higher Education. This study used a mixed method with a sequential exploratory approach. Data was collected through surveys and interviews. A total of 160 respondents were involved in the survey. Interviews were conducted with 3 senior lecturers who teach Civic Education courses at State Universities in Bandung. The data were analyzed using descriptive analysis techniques and verification through Structural Equation Modeling methods and Confirmatory Factor Analysis. The study results showed that the teaching of Civic Education must be able to build student interest through the application of teaching methods that are appropriate, creative, contextual, and in accordance with student needs. Civic Education learning must also be able to strengthen students’ awareness of the importance of national identity to prevent them from attitudes and behaviors inconsistent with the nation’s noble values. Civic education reconstruction efforts must be based on real problems faced by lecturers and students in Civic Education learning, especially by considering the clarity of goals, the focus of change, the challenges of citizenship in the global era, and the concrete situations that are developing in society. This study is needed to provide an appropriate basis for the formulation and implementation of the reconstruction of civic education to strengthen the Indonesian nation’s national identity.
Digital marketing solusi pemasaran di era digital untuk meningkatkan omset penjualan UMKM
Authors: Anwar Khoerul , Yunus Mahmud , Alfin Rita
Published: September 2023

Analisis situasi berdasarkan studi awal Tim PKM dengan melakukan kunjungan langsung serta wawancara pada Mitra diperoleh informasi kondisi UMKM Dua Nada. Masalah yang cukup urgen adalah branding merek belum melekat di hati konsumen minuman botanikal di wilayah Malang dan sekitarnya. Model pemasaran produk masih terpusat pada pemasaran offline dan belum mengoptimalkan model Digital Marketing. Solusi kegiatan diprioritaskan untuk meningkatkan pemasaran produk minuman botanikal kunyit asam sebagai upaya meningkatkan omset penjualan. Peningkatan pemasaran dilakukan dengan menerapkan Digital Marketing (online) selain cara konvenional (offline). Metode yang di gunakan adalah model Participatory Action Research (PAR) yang bertujuan untuk pembelajaran dalam mengatasi masalah dan pemenuhan kebutuhan praktis masyarakat. Pada tahapan aksi ditempuh dengan melakukan pelatihan platform sosial media Instagram dan WhatsApp untuk pemasaran secara digital produk UMKM Dua Nada. Bagaimana cara membuat account bisnis dan kemudian membuat katalog produk, daftar harga, unggah foto-foto produk. Hasil yang dicapai pasca pelatihan adalah: Mampu membuat katalog produk dan kalender di platform sosial media sebagai pendukung digital marketing. Memanfaatkan platform sosial Instagram dan WhatsApp sebagai media pemasaran secara online. Melakukan transaksi secara online dengan customer ataupun dengan rekanan reseller. Penerapan digital marketing dapat meningkatkan omset penjualan peningkatan 80%.
TERAPI BERMAIN PUZZLE DALAM MENINGKATKAN KETERAMPILAN SISWA DI SLB NEGERI GARUT KOTA
Authors: Sri Yekti Widadi Sri Yekti Widadi , Wahyudin Wahyudin , Windi Windi , Dika Dika
Published: September 2023

Playing is a fun activity for children with special needs, by playing it can also support growth and development in children with special needs. The selection of games must adjust to the child's developmental abilities according to his age. This encourages children to explore and reduces the risk of frustration or tantrums while playing. The community service carried out aims to carry out play therapy activities in the form of puzzle play therapy by combining various shapes such as numbers, fruits, animals, and letters as an effort to improve the skills of children with special needs. This community service activity was carried out at the State Special School (SLB) Garut City. The target of this community service activity is Garut City SLBN students followed by grades 7 to 12 years. The methods and stages of implementing activities include preparation on January 9 and 10, 2023, the implementation stage on January 11, 2023, and the evaluation stage on January 12, 2023. Playing combination puzzles can improve the cognitive abilities of children with special needs. (SLB) Negeri Garut Kota Hari needs to make efforts to increase the knowledge of children with special needs through various scheduled and continuous play therapies, such as this combination puzzle game in order to improve children's skills.
ASSISTIVE WALKING STICK FOR VISUALLY IMPAIRED
Authors: Bhandari Samridhi , Bansal Neha , Saifi , Sami Noor ,   HMR Institute of Technology and Management
Published: September 2023

This paper presents the smart walking cane based on ultrasonic sensors, Arduino UNO and concepts of Machine Learning and CNN for visually impaired people. There are approximately 37 million people across the globe who are blind according to the World Health Organization (WHO). People with visual disabilities are often dependent on external assistance which can be provided by Humans, trained dogs, or special aid devices. Thus we are motivated to develop a smart walking stick which not only detects object but also detect the floor, surrounding along with collision detection and raises an alarm in case of any mishap. The system was designed, programmed using C language and tested for accuracy. Our devise can detect objects within 5m of distance
IMAGE FORGERY DETECTION
Authors: Pandey Shivam , . Aditya , Jain Seema , Dhankar Usha ,   HMR Institute of Technology and Management,
Published: September 2023

In the digital age, the ability to manipulate digital images has become increasingly sophisticated, making it challenging to detect and distinguish between authentic and forged images. Image forgery detection is an active and crucial area of research, with various methods and techniques being proposed to detect manipulated images. This paper provides a survey of current methods and techniques for image forgery detection. We begin by introducing the different types of image forgeries and their characteristics. We then discuss the various methods for detecting forgeries, including statistical methods, visual methods, and learning- based methods. We also present a comparison of the performance of different methods and techniques, and conclude with a discussion of the challenges and future directions in the field of image forgery detection.
SPAM EMAIL DETECTION USING DIFFERENT CLASSIFIERS
Authors: Tiwari Ayushi , Kushwah Saumya , Khanduri Ritika , Fatima Nahid , Kaur Gurpreet ,   HMR Institute of Technology & Management
Published: September 2023

Due to the widespread use of social media, the amount of unwanted emails has increased, necessitating the implementation of a reliable system to filter them out. Spam emailsare now the most common issue on the internet, despite email beingone of the fastest and most cost-effective forms of communication. Over the past few years, there has been a significant increase in spam emails due to the growing number of email subscribers. This study employs four classifiers (Random Forest, XG Boost, Naïve Bayesian) to classify email data, with varying data and feature sizes. The final classification result is '1' if the email is spam and '0' if it is not. The study was conducted using Python and implemented in a Jupyter notebook. This technique can also be utilized in monitoring social media and brand activity. The paper presents a machine learning approach for identifying spam emails by detecting spam content within the message. With machine learning, computers can learn how to perform a task without being explicitly programmed. This method uses data to generate a program that performs a task, such as classification. Unlike knowledge engineering, machine learning techniques require pre-classified data to create a training dataset that is used to fit the learning algorithm in the machine learning studio. The objective of this study is to train, test, and compare various classifiers. The rest of the paper is organized as follows: Section 2 defines the researchers' contribution in this field. Section 3 describes the experimentation framework, dataset, procedures, andlibraries. Section 4 summarizes the findings, and Section 5 concludes the paper's potential for future research.
AMERICAN SIGN LANGUAGE (ASL) RECOGNITION USING OPENCV
Authors: Ansari Mehtab , Raj Bharti Neetu ,   HMRITM
Published: September 2023

One of the biggest challenges for thosewho are deaf or dumb is the lack of access to communication. Here, we'll createa OpenCV based system for converting American sign language to text. Computer vision model for the dumb and deaf are a revolutionary system that has the potential to improve the quality of life for those whoare affected by hearing or speech impairments. The computer vision model will detect hand movements and translate them into text in real-time, allowing deaf and dumb individuals to communicate with others more effectively. Traditionalforms of communication such as writing can be difficult and time-consuming, and they also rely on the presence of an interpreter or someone who can read orwrite. Computer vision supply a more efficient and immediate solution to this problem. The CV model are designed to detect hand movements and translate them into text, depending on the user's preferences. This allows deaf and dumb individuals to communicate with others in real-time, without the need for aninterpreter or someone who can read orwrite. The system is configured to display the text or speech on a nearby device, so that others can see and understand the message as well.
DATA SECURITY AND DATA BREACHES
Authors: Gupta Ishaan , . ira , Gusain Aditya , Mahajan Kusum , Rais Faisal , Chaudhary Rekha ,   HMR Institute of Technology & Management
Published: September 2023

: This research paper focuses on the topic of data security and data breaches specifically in web applications. As more businesses and organizations move their operations online, web applications have become a prime target for cyber attacks. This paper examines common vulnerabilities in web applications such as SQL injection, cross-site scripting, and insecure session management and how they can be exploited to gain unauthorized access to sensitive data. Venmo, a popular peer-to-peer mobile payment app, has faced several data breaches in recent years, raising concerns about the safety of user information. This research paper will also examine the causes and consequences of these data breaches and discusses best practices for secure web application development.
A SURVEY ON AUTOMATIC CODE GENERATION USING IMAGE MOCK-UPS
Authors: s Harshitha , Kannan Devi ,   Atria Institute of Technology, Bangalore
Published: September 2023

The idea is to use mock-ups as a way of designing the user interface of a complex program. The most complicated part of the software project is arguably writing the code to model the mock-up. So rather than spending time coming up with an algorithm to take care of the details, we use automatic code generation based on an action, objects relation, an optional default screen view. Deep learning models which transform image mock-ups of graphical user interface (GUI) to a program. It taken place by four steps object detection, object cropping, object recognition, program builder. This are used to build the websites, mobile application and software for the particular use. While in the stage of object identification the cropped components are labeled by CNN trained model.
EMERGING CONCEPT OF INTERNET OF BEHAVIOUR (IOB)
Authors: Gupta Aishwarya , Gupta Megha , Chauhan Garuna ,   University of Delhi
Published: September 2023

The world is entering a period of profound transition and fast development. The Internet of Behaviour (IoB) approach is an emerging concept. The "INTERNET OF BEHAVIOR" is an addendum of the "INTERNET OF THINGS". It is capable of generating patterns that impact people's actions. It has the power to energies every accomplishment and hence get clients closer to promoting the product. The Internet of Things has played a pivotal part in today's technological revolution, resulting in the development of smart systems. But, despite hearing the word frequently, we may not completely comprehend what the Internet of Behavior is capable of, as well as how we might participate in it. This article introduces the concept of Internet of Behaviour and discusses how it might assist enhance sales.
STUDY AND DETERMINATION OF EYE ASPECT RATIO USING DATA MINING
Authors: Rizwan P. S Muhammed , Rao Sahil , Balayan Sonal , Bhandari Neeraj , Choudhary Sonia ,   HMRITM
Published: September 2023

This research paper studies the landmarks of the eye and analyses the value for Eye Aspect Ratio, which is the ratio of the average of Euclidean distance between pairs of landmarks in vertical position and the Euclidean distance between the horizontal landmarks of the eyes. This ratio has a value lying in a particular range. This ratio is of crucial importance in the blink detection using computer vision. Also this value will be used for other computer vision related tasks like behavior and facial expression detection. Our aim is to find the range of EAR value using which the results of detection will have optimal error in accuracy. An exploratory data analysis on data collected from real world and for various scenarios is conducted. A supervised machine learning model will also be trained and deployed for frame to frame prediction. Their combined result is demonstrated with visualization.
APPLYING MACHINE LEARNING AND OBJECT DETECTION FORIDENTIFYING TRAFFIC RULE VIOLATION: OVER SPEEDING
Authors: Chauhan Anurag , Rahim Ilhaan , Kurani Karan , Chole Vikrant , Chauhan Ritvik ,   Sardar Vallabhbhai National Institute ofTechnology
Published: September 2023

We have observed that traffic offences are manually inspected by the traffic department in many developing nations, such as India. Such systems enable traffic management and traffic law enforcement. Following this, the present study focuses on Traffic violations as one of the key issues hindering the efficient operations and safety aspects in the urban traffic area. Currently, traffic violations are controlled using enforcement measure that demands a high manual workforce, and resource which entails high economic cost. Contrary, the use of automatic traffic violation detection systems in many of the urban cities of the developed and developing countries is being implemented for a higher degree of traffic enforcement and adherence to the traffic operation rules. Following this the present study focus on the applicationof machine learning for automatic traffic violation detection for weak- lane disciplined mixed traffic conditions. The resulting exhibit that the developed model can detect traffic violations of over-speeding at an accuracy of 95%. The traditional methods like speed camera use the basic principle of the Doppler Effect and RADAR technologies but at present,Due to their drawbacks which vary from the expense of purchasing equipment, increase in work and labour costs, and lack of monitoring, they are ineffective. As a result, it is a straightforward, affordable, and practical speed detecting method in Mixed traffic conditions. So here, we prefer automatic speed violation detection. The suggested solution will be highly accurate and cost-efficient.
DESIGN AND IMPLEMENTATION OF ECOMMERCE WEB APPLICATION USING MERN STACK AND DATA SCIENCE
Authors: Manchekar Preeti , Patil Aakash , Patil Ashutosh , Pawar Shruti , Madachane Sulochana ,   Pillai College of Engineering
Published: September 2023

: Social media has been influencing e-commerce in multiple ways by being a platform of marketing for ecommerce businesses over the years. This project boosts the idea of social commerce by providing a platform for small businesses to grow and reach the world. At the same time it provides a platform for the internet community to explore various products. A web application where users can register themselves in two ways, as a seller or as a customer. Sellers can post their products and will get insights on how their business is growing in the e-market. A detailed analysis will be provided based on the orders, no. of visitors, likes, etc. On the other hand, the customers can view the products as well as the posts just like on any other social media platform. These users can follow other users and see the posts of other users as well as they can search for a particular product in two ways, text and visual. Results will contain the products and the posts. Also, recommendations will be shown to the user. Users can follow, like and buy products from sellers. Features such as personalized recommendation, product classification, post engagement help the small businesses to create a brand. Being a fusion of social media and e-commerce, this web app provides a single platform for small businesses and social influencers.
THE TRANSITION FROM ECOMMERCE TO M COMMERCE
Authors: Tyagi Shivali , . Rohit , Keshari Ritwik , . Rahul , Singh Bisht Rahul ,   KIET Group Of Institutions
Published: September 2023

The rise of mobile technology has led to a significant shift in consumer behavior from eCommerce to mCommerce. This shift has had a significant impact on businesses, as they must adapt their strategies to meet the changing needs and expectations of consumers. In this research paper, we will explore the transition from eCommerce to mCommerce, the impact on businesses and consumers, and the challenges and opportunities it presents. We will analyze the advantages of mCommerce, including convenience and the availability of mobile payment technologies. We will also examine the challenges of mCommerce, such as the need for mobile-friendly websites and apps. Finally, we will explore the future of mCommerce and its potential to transform the retail industry.
A REVIEW ON SIGN GLOVES FOR DUMB AND DEAF PEOPLES USING ESP32
Authors: Gautam Uma , Asgar Md Ehsan , Ranjan Rajeev , Narayan Chandan ,   HMRITM
Published: September 2023

Sign gloves are innovative wearable devices that can help people who are deaf to communicate with those who do not know sign language. These gloves use sensors and machine learning algorithms to translate hand gestures into spoken or written language. This paper provides an overview of the key technologies and materials used in sign glove design and discuss the challenges and opportunities associated with this emerging field. The review also highlights recent advances in sign glove fabrication, such as the use of 3D printing and additive manufacturing techniques, and explores the potential for future developments in this area. The objective of this review is to offer a comprehensive overview of the current state-of-the-art in sign glove design and fabrication and to identify critical research directions for future work.
YIELD ENHANCER USING MACHINE LEARNING
Authors: Gupta Shruti , Arora Yash Kumar , Singh Akshay , Verma Archita , Kumari Rekha ,   HMR Institute of Technology and Management
Published: September 2023

India a country with over one billion people stands at the second most populated country in the world. Indian economy is largely dependent on agriculture with around 50 percent of the country’s GDP being supplemented by the primary sector. A large percentage of our population is involved in agricultural activities. But unfortunately struck at the old school methods for farming along with the rapid changes in climatic conditions a lot present farmers are facing issues their crop yield. This research is one step to battle with the current issues. This will helps the farmer to decide which crop to grow so that they can achieve maximum yield. Our system uses various machine learning algorithms like Decision tree, Gaussian Naive Bayes, Support Vector Machine (SVM), etc. The user is request input simple parameters like temperature, humidity, ph in order to get an answer.
SARS-COV-2: THE SECONDARY EXTREMITY SUMMIT OF WHO
Authors:   HMRITM, Gahlot Amit
Published: September 2023

Covid-19 made all the countries to close their borders and locked down all citizens as the virus is widening around the globe with a steep speed. This is one of our enemies’ plots, dragging the countries to a shutdown. Nobody knew there'd be a pandemic or an epidemic of this proportion. But many who work in infectious disease knew a pandemic like this was coming. As far as the loss of life, a pandemic would match even the tremendous conflicts of the past. The economy will close down, the expense for humankind will be extraordinary, and no nation will be invulnerable from the issue this will create."We estimate there are around 1.5 million viruses in wildlife” that we don't yet know about. Any one of those could be spilling over into human population right now. Expansion of a virus from an animal to human society gives rise to zoonotic Virus, and for decades, these kinds of viruses which have been growing, spreading and causing outbreaks for the society. There's a risk with something like SARS or MERS, that it'll be something for which we're not ready. It is a coronavirus again? We know some pretty lethal ones, but we expect that there are others out there that are more lethal, that are better at being transmitted, where we've got no drugs and no vaccines which ultimately leads to a chancy.
THERMAL COMFORT ASSESSMENT FOR ADOPTING CONTROL STRATEGIES IN ATRIUM BUILDINGS
Authors:   LNCT University, Saxena Dr Shashi , Saxena Ar. Pulkit ,   RKDF University
Published: September 2023

The atrium was seen in origin about two hundred years ago. Glazed areas and atrium structures have been considered a symbol of advanced technology in recent years, yet they can differ in terms of arrangement and functionality. Because of the complexity of their operation and air movement, atriums are difficult to diagnose and analyze in terms of thermal comfort. The present paper has a study on the thermal environment of atrium spaces. Thermal comfort is one of the foremost important aspects of indoor environmental quality thanks to its effects on well-being, people's performance, and building energy requirements. Since our responses to our thermal environment have a considerable effect on our performance and behavior, not least in the realm of work, there has been a considerable scientific investigation of those responses and formal methods are developed for environmental evaluation and style. Thermal sensations of the occupants occupying the interior space of the building were evaluated with various approaches to understanding indoor thermal comfort. Several metrics for assessing human thermal response to interior environment conditions have been assessed describing the human thermal perception of the thermal environment to which an individual or a group of people is exposed. The article study was to gain insight into the subject’s perspectives on variables of comfort levels and determine the factors responsible for the varying human thermal comfort summer. This paper is a study on the thermal environment of atrium spaces focusing on identifying the factors of thermal comfort and promoting Control measures that may be adopted in atrium buildings to reduce the energy potential.
In vivo tracing of the ascending vagal projections to the brain with manganese enhanced magnetic resonance imaging
Authors: Oleson Steven , Cao Jiayue , Wang Xiaokai , Liu Zhongming
Published: September 2023

Introduction

The vagus nerve, the primary neural pathway mediating brain-body interactions, plays an essential role in transmitting bodily signals to the brain. Despite its significance, our understanding of the detailed organization and functionality of vagal afferent projections remains incomplete.

Methods

In this study, we utilized manganese-enhanced magnetic resonance imaging (MEMRI) as a non-invasive and in vivo method for tracing vagal nerve projections to the brainstem and assessing their functional dependence on cervical vagus nerve stimulation (VNS). Manganese chloride solution was injected into the nodose ganglion of rats, and T1-weighted MRI scans were performed at both 12 and 24 h after the injection.

Results

Our findings reveal that vagal afferent neurons can uptake and transport manganese ions, serving as a surrogate for calcium ions, to the nucleus tractus solitarius (NTS) in the brainstem. In the absence of VNS, we observed significant contrast enhancements of around 19–24% in the NTS ipsilateral to the injection side. Application of VNS for 4 h further promoted nerve activity, leading to greater contrast enhancements of 40–43% in the NTS.

Discussion

These results demonstrate the potential of MEMRI for high-resolution, activity-dependent tracing of vagal afferents, providing a valuable tool for the structural and functional assessment of the vagus nerve and its influence on brain activity.