bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PENGIMPLEMENTASIAN AKUNTANSI ASET TETAP BERDASARKAN PSAK NO. 16 DI PT CAHAYA BINTANG MEDAN
Authors: Sallim Asrobi Harahap  , Budi Gautama Siregar  , Aswadi Lubis  , Ali Hardana
Published: September 2023

Fixed assets are crucial elements in financial statements that require careful monitoring and accurate accounting implementation in accordance with PSAK No. 16 regarding recognition, acquisition, depreciation, disposal, and presentation. This research aims to identify the implementation of fixed accounting and its compliance with PSAK No. 16 at PT. Cahaya Bintang Medan. The study employs a qualitative descriptive method with the subject of research being the financial statements of PT. Cahaya Bintang Medan for the past three years, namely 2019-2021, and data is collected through secondary sources using documentation method. The research findings reveal that the implementation of fixed asset accounting at PT. Cahaya Bintang Medan is in line with PSAK No. 16 until stage of fixed asset depreciation. However, there is a discrepancy in the disposal or termination of fixed assets, as the assets that have been disposed of are not removed from the fixed asset register
PENGARUH OPINI AUDITOR, GOOD CORPORATE GOVERNANCE DAN RETURN SAHAM TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN SEKTOR KEUANGAN YANG TERDAFTAR DI BEI
Authors: Rahmad Nasution Shafwan Nur , Tuti Meutia  , Ainul Yusna Harahap
Published: September 2023

The purpose of this study was to determine the effect of auditor opinion, good corporate governance, and stock returns on financial performance. The approach used is quantitative, sample selection using purposive sampling technique from a total of 106 companies as a population, 13 companies in the financial sector were selected as research samples based on predetermined criteria. To analyze the data, multiple linear regression analysis was used. Data sources were obtained from secondary data from the Indonesia Stock Exchange and relevant research websites used as data sources, especially financial report data from 2012 to 2021. The findings of this study indicate that there is a significant influence of good corporate governance on financial performance. However, the auditor's opinion and stock returns were found to have no significant effect on financial performance, whereas simultaneously, auditor opinions, good corporate governance and stock returns had a significant effect on financial performance.
Tekoäly tutkimuksen työkaluna
Authors: Pesonen Juho , Hannonen Olga
Published: September 2023

In this editorial we describe the advantages of AI use in research, such as help with quick processing of big research data, managing and analysing data, develop modelling methods and future scenarios. AI can support researchers’ work in many ways, but it should be used with caution. One of the most critical aspects in using AI is the importance of interpretation of the results that it offers. There are still questions about personal data and security risks in using AI. Perspectives on the use of AI in research vary significantly. While Italy has banned the use of ChatGPT, the University of Calgary offers courses on the use of ChatGPT in academic publishing and grant writing. AI is here to stay, so we have to learn our ways to understand and use it appropriately.
PERAN CELEBRITY ENDORSER DAN EFEKTIVITAS IKLAN MELALUI MEDIA TELEVISI PADA MINAT BELI ( Survei pada konsumen situs belanja online shopee)
Authors: Gunawan Agung , Novita Dian , Febrian Angga
Published: September 2023

Celebrity endorser dan efektivitas iklan merupakan salah bentuk strategi komunikasi pemasaran yang dilakukan baik secara offline atau online untuk menarik perhatian minat konumen. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif. Penelitian ini menggunakan sampel dari 280 responden yang pernah menggunakan shopee dan memahami peran celebrity endorser. SPSS 16.0 digunakan dalam teknik analisis data dengan menggunakan uji regresi linier beganda dan uji t, untuk melihat pengaruh celebrity endorser pada dimensi (attractiveness, expertise, and trustworthiness) dan efektivas iklan dimensi (empathy, persuasion, impact, communication) pada minat beli. Hasil penelitian secara parsial menunjukan bahwa dukungan celebrity endorser pada dimensi (attractiveness, expertise, and trustworthiness) mempengaruhi minat beli konsumen jika celebrity yang digunakan sesuai dengan produk yang diiklankan dan evektivitas iklan pada dimensi (empathy, persuasion, impact, communication) mempunyai pengaruh terhadap minat beli, dimana semakin tinggi evektivitas iklan di televisi semakin tinggi pula minat beli konsumen. Penelitian selanjutnya dapat menambahkan variabel lain selain celebrity endorser dan efektivitas iklan pada minat beli.
PERBEDAAN KINERJA KEUANGAN PERUSAHAAN SEBELUM DAN SESUDAH MELAKUKAN MERGER DAN AKUISISI (PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI)
Authors: Milleansa Febiyolla
Published: September 2023

Penelitian ini bertujuan untuk mengetahui perbedaan pada kinerja perusahaan sebelum dan sesudah merger dan akuisisi pada perusahaan yang melakukan aktivitas merger dan akuisisi. Kinerja perusahaan diukur dengan menggunakan rasio keuangan: Current Ratio (CR), Debt to Equity Ratio (DER), Total Asset Turnover (TATO) Return On Equity (ROE), Return On Asset (ROA). Metode kuantitatif digunakan dalam penelitian ini mengambil data dari perusahaan publik yang telah melakukan merger dan akuisisi di Bursa Efek Indonesia (BEI) dan mengumumkan kegiatannya pada periode   2013 – 2020
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI HARGA SAHAM
Authors: Prasetya Toni Jaya , Dina Safitri Vera Apri , Yufantria Fenni
Published: September 2023

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh Current Ratio, Debt to Equity Ratio, Return On Asset, Return On Equity, Earning Per Share dan Price Earning Ratio terhadap harga saham pada perusahaan manufaktur sub sektor logam dan sejenisnya yang terdaftar di Bursa Efek Indonesia periode 2016-2019. Populasi pada penelitian ini adalah seluruh perusahaan logam dan sejenisnya yang terdaftar di Bursa Efek Indonesia. Teknik pemilihan sampel yang digunakan yaitu purposive sampling. Data diperoleh dari website resmi Bursa Efek Indonesia www.idx.co.id dan website resmi masing-masing perusahaan. Metode analisis yang digunakan adalah regresi linear berganda. Hasil dari penelitian ini yaitu secara parsial Current Ratio, Debt to Equity Ratio, Return On Asset dan Price Earning Ratio tidak berpengaruh terhadap harga saham sedangkan Return On Equity dan Earning Per Share berpengaruh negatif signifikan terhadap harga saham
PENGARUH PERPUTARAN KAS, PERPUTARAN PIUTANG DAN PERPUTARAN PERSEDIAAN TERHADAP RETURN ON ASSETS (ROA) PADA PERUSAHAAN SUB SEKTOR ROKOK YANG TERDAFTAR DI BEI TAHUN 2013-2020
Authors: Garcinia Indah
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh perputaran kas, perputaran piutang, dan perputaran persediaan terhadap profitabilitas (Return on Assets). Data sekunder yang digunakan dalam penulisan ini berupa laporan keuangan perusahaan sub sektor rokok yang terdaftar di Bursa Efek Indonesia periode 2013-2020. Variabel independen dalam penulisan ini adalah perputaran kas, perputaran piutang dan perputaran persediaan, sedangkan variabel dependennya adalah Return on Assets (ROA). Metode analisis  yang  digunakan  dalam  penelitian  ini  adalah  regresi  data  panel  dengan bantuan program Eviews 10. Sampel penelitian  ini terdiri dari 4 perusahaan sub sektor rokok dengan teknik purposive sampling sebagai  metode pengambilan sampel. Hasil penelitian ini menunjukan variabel perputaran kas berpengaruh positif dan signifikan terhadap Return on Assets (ROA), perputaran piutang dan perputaran persediaan tidak berpengaruh signifikan terhadap Return on Assets (ROA).
PENGARUH PERSEPSI KEMUDAHAN, PERSEPSI KEAMANAN, DAN PERSEPSI KEPERCAYAAN TERHADAP KEPUASAN PELANGGAN DALAM MENGGUNAKAN MOBILE BANKING BCA
Authors: Permatasari Berlintina
Published: September 2023

n the current era of globalization, it has an influence, especially on the development of both economic and social activities that occur in society, this is also coupled with the Information Technology System (STI) which is growing very rapidly and undergoing many changes. This study aims to determine the effect of perceived convenience, perceived security, and perceived trust on customer satisfaction in using BCA mobile banking. The population in this study are customers of BCA mobile banking users. The sample in this study was 100 respondents and the technique used was the Non Probability Sampling technique with the Purposive Sampling approach. The method in this study is a quantitative method. The data analysis technique used is multiple linear analysis using IBM SPSS 20.0. The results showed that the perception of security and the perception of trust had a positive and significant effect on customer satisfaction, while the perception of convenience had a positive and insignificant effect on customer satisfaction.
PENGARUH FRAUD HEXAGON THEORY DALAM MENDETEKSI KECURANGAN LAPORAN KEUANGAN (STUDI KASUS PADA PERUSAHAAN ASURANSI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2020)
Authors: Agustin Maria Dewinta , Yufantria Fenni , Ameraldo Fedi
Published: September 2023

Penelitian ini bertujuan untuk menganalisa pengaruh fraud hexagon dalam mendeteksi kecurangan laporan keuangan.  Fraud hexagon dalam penelitian ini  yaitu financial target personal financial need, nature of industry proksi opportunity, total accrual ratio proksi rationalization, change in director proksi capability, CEO duality proksi arrogance, koneksi politik dan kinerja pasar proksi collusion. Penelitian ini menggunakan Beneish M-Score untuk menghitung kecurangan laporan keuangan. Populasi pada penelitian ini adalah perusahaan asuransi yang terdaftar di Bursa Efek Indonesia Tahun 2017-2022. Penelitian ini menggunakan purposive sampling dan berdasarkan kriteria tersebut didapatkan sampel sebanyak 10 perusahaan. Analisa ini menggunakan regresi logistic. Hasil penelitian menunjukan bahwa financial target proksi pressure, total accrual ratio proksi rationalization berpengaruh dalam mendeteksi kecurangan laporan keuangan. Sedangkan personal financial need proksi pressure, nature of industry proksi opportunity, change in director proksi capability, CEO duality proksi arrogance, dan koneksi politik dan kinerja pasar proksi collusion tidak berpengaruh dalam mendeteksi kecurangan laporan keuangan. Kata Kunci : Beneish M-score, Kecurangan laporan keuangan, fraud hexagon theory
ANALISIS KOMPARASI KINERJA KEUANGAN PERUSAHAAN INDUSTRI DASAR DAN KIMIA DI BURSA EFEK INDONESIA SEBELUM DAN SELAMA PANDEMI COVID-19
Authors: Pratiwi Yuswinta Adjeng , Kencana Dwi Tirta
Published: September 2023

AbstractThis study aims to analyze the comparison of the impact of the COVID-19 pandemic on the financial performance of companies in the Basic and Chemical Industry Sector listed on the Indonesia Stock Exchange. The population in this study includes all companies in the Basic and Chemical Industry Sector listed on the Indonesia Stock Exchange. The sample was determined by purposive sampling technique and acruired 34 companies. The research period used was quarters 2, 3, and 4 of 2019 and quarters 2, 3, and 4 of 2020. The total numbers of samples is 102 samples. This research in a type of comparative quantitative research. Data analysis methods used in this study includes descriptive statistics, normality tests, and hypothesis tests used wilcoxon signed rank test because the data is not normally distributed. The test result showed that wilcoxon signed rank test for NPM, ROA, EPS and TATO ratios before and during COVID-19 had an Asymp. Sig (2-tailed) is less than the significance value α= 0,05 (0,05). It means that there were significant differences in NPM, ROA, EPS and TATO before and during COVID-19. As for ROE, CR, DER and PER before and during COVID-18 had an Asymp. Sig (2-tailed) is greater than significance value α= 0,05 (0,05). This means that there’s no difference in the ROE, CR, DER and PER.Keywords: Financial Performance, Financial Ratio, Before and During COVID-19
Pengaruh Motivasi Kerja, Lingkungan Kerja, Stres Kerja Terhadap Kinerja Karyawan JNE Cabang Bandar Lampung
Authors: Yanto Oki
Published: September 2023

Abstract The target of this study was the JNE Central branch in Bandar Lampung with a population of 52 people and a sample of 32 respondents. Data collection was carried out by distributing questionnaires to respondents. The data analysis method used in this study is multiple linear regression, where the independent variables are work motivation, work environment and work stress as well as performance as the dependent variable. The results of multiple linear regression analysis show the magnitude of the influence of each independent variable on the dependent variable, namely t count t table (3.588 2.051) with a significant level of 0.05 (0.002 0.05) which means that the work motivation variable has a large enough effect on improving employee performance so that it has a positive effect on employee performance. t count t table (4. 2.051) with a significant level of 0.05, namely (0.000 0.05) which means that the work environment has a considerable influence on improving employee performance so that it has a positive effect on employee performance. t count t table (-1.073 2.051) with a significant level of 0.05, namely (0.292 0.05) which means that work stress does not affect employee performance, namely. The results showed that the variables of work motivation and work environment had an effect on the performance of JNE employees at the Bandar Lampung central office. Keyword : work motivation, work environment, work stress, employe performance Abstrak Sasaran penelitian ini adalah cabang JNE Pusat bandar lampung dengan populasi 52 orang dan sampel 32 responden. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada responden. Metode analisis data yang digunakan dalam penelitian ini adalah regresi linier berganda, dimana variabel bebasnya adalah motivasi kerja, lingkungan kerja dan stres kerja serta kinerja sebagai variabel terikat. Hasil analisis regresi linier berganda menunjukkan besarnya pengaruh masing-masing variabel independen terhadap variabel dependen yaitu t hitung t tabel (3.588 2.051) dengan tingkat signifikan 0,05 yaitu (0,002 0,05) yang berarti bahwa variabel motivasi kerja berpengaruh cukup besar terhadap peningkatan kinerja pegawai sehingga berpengaruh positif terhadap kinerja pegawai. t hitung t tabel (4. 2.051) dengan tingkat signifikan 0,05 yaitu (0,000 0,05) yang berarti bahwa lingkungan kerja mempunyai pengaruh yang cukup besar terhadap peningkatan kinerja karyawan sehingga berpengaruh positif terhadap kinerja karyawan. t hitung t tabel (-1,073 2,051) dengan tingkat signifikan 0,05 yaitu (0,292 0,05) yang berarti stres kerja tidak berpengaruh terhadap kinerja karyawan yaitu. Hasil penelitian menunjukkan bahwa variabel motivasi kerja, lingkungan kerja berpengaruh terhadap kinerja karyawan JNE kantor Pusat bandar lampung.
Penyuluhan dan Pendampingan Pembukuan Sederhana bagi UMKM di Desa Namang
Authors: Oktalina Gayatria , Novika  , Zamhari
Published: September 2023

UMKM memiliki kontribusi yang besar dalam meningkatkan pertumbuhan ekonomi masyarakat khususnya di negara-negara berkembang. Namun, di era digital ini masih banyak UMKM yang belum mengikuti arus perkembangan teknologi. Padahal pemanfaatan teknologi akan dapat memberikan kemudahan bagi UMKM dalam melaksanakan aktivitas usahanya, salah satunya adalah aplikasi pembukuan seluler. Survei yang dilakukan di desa Namang menunjukkan hasil bahwa  masih banyak pelaku UMKM yang tidak memiliki pencatatan keuangan karena kurangnya pemahaman mereka terlebih sebagian besar mereka juga belum melek teknologi. Tujuan diadakan kegiatan pengabdian ini adalah untuk memberikan pemahaman bagi para peserta pentingnya pembukuan dalam melakukan kegiatan usaha serta memperkenalkan aplikasi pembukuan yang mudah diakses bagi UMKM. Metode pelaksanaan kegiatan dilakukan dengan memberikan sosialisasi dan penyuluhan serta pelatihan secara langsung kepada para pelaku UMKM yang aktif.  Hasil kegiatan ini para peserta sudah dibekali template pembukuan secara manual dan sudah mendownload aplikasi pembukuan bagi UMKM yang dapat dioperasikan untuk kegiatan usahanya.
Understanding Student Engagement in Hybrid Learning : An Analysis Impact Digital Literacy and Academic Self-Efficacy
Authors: Jaya Fitra , Nurqamarani Adisthy Shabrina
Published: September 2023

This study analyzes student engagement in hybrid learning by analyzing digital literacy and academic self-efficacy. This study used a quantitative approach with the survey as a data collection method. The population in this study was 370 students, the faculty of teacher training and education at state universities in Jakarta, and private universities in Banten and Lampung. The sampling technique used was proportional random sampling, obtained by 105 respondents. Data was collected through questionnaires, and structural equation modeling (SEM) was used to analyze the relationship between constructs. The results of this study state that Digital literacy and academic self-efficacy play an important role in creating student engagement in hybrid learning. The ability of students to use digital learning resources will support active participation in the learning process. A high academic level of self-efficacy also helps them to be able to have confidence and perseverance during the learning process. Digital literacy and academic self-efficacy will bring students to be actively involved in the digital learning environment and play an essential role in shaping or maintaining student motivation and persistence in learning. Students' engagement levels can be increased by increasing their ability to use digital technology effectively and increasing their confidence that they can achieve their desired academic goals.
The Effectiveness of the Science, Technology, Engineering, Art, Mathematics, and Religious (STEAM.R) Approach on Students' Concept Understanding in Science Learning : An Analysis Based on Gender
Authors: Jelita Jelita , Mazlan Mazlan
Published: September 2023

This study aims to analyze the effectiveness of the Science, Technology, Engineering, Art, Mathematics, and Religious (STEAM.R) approach to understanding students' concepts in learning science which are analyzed by gender. The study used a quantitative approach with the Pretest-Posttest Control Group Design. The population used was class V MI TT AL-Mubarak Langsa, totaling two classes with 34 students. While the research sample was obtained using the Simple Random Sampling technique with the lottery method, it was obtained that the female students and the male students. The instrument used was a test in the form of an essay which consisted of 5 questions. The collected data were analyzed using the t-test through SPSS 24. The result showed, based on gender, that the average post-test score of the female students was higher than that of the male students, namely 89.53 > 74.24. From the results of the hypothesis testing, it was obtained tcount > ttable, namely 5.82 > 2.04, with a significant value of 0.00 <0.05, so Ha was accepted, and H0 was rejected. Therefore, it was concluded that the Science, Technology, Engineering, Art, Mathematics, Religious (STEAM.R) approach was significantly effective in understanding students' science learning concepts.
Discord-Based COMPILE Application Model in Improving the Effectiveness of Teachers and Education Staff Management
Authors: Kartikasari Laurentia Prabaniardi , Iriani Ade , Satyawati Sophia Tri
Published: September 2023

This study aims to develop a Discord-based COMPILE application model to improve the effectiveness of teachers and education staff management. This research is a Borg & Gall Research and Development (R&D) model with sequential explanatory mixed methods (qualitative and quantitative). Product development on the model uses the ADDIE development model, namely: Analysis, Design, Development, Implementation, and Evaluation. Developmental research was conducted at Tunas Bangsa Elementary School, Kuburaya, West Kalimantan. The research subjects were school directors, principals, teachers, and education staff. Research results were validated using technique triangulation and source triangulation methods. Qualitative data analysis used the Miles & Huberman model, while quantitative data analysis used the Likert scale. The results of the IT expert validation assessment showed a score percentage of 93%, the management expert validation result was 84%, and the results of the field trial with users (management, teachers, staff) showed a score of 82%. Thus, respectively showed the results of each validation and trial in a row as "Very Good", "Good" and "Good". So, the product, a Discord-based COMPILE application model, is feasible, acceptable, and can be used to improve the effectiveness of the school's management of teachers and education staff resources.
The Implementation of Student Admission Based on Zoning in Indonesia : Problems, Challenges, and Solutions
Authors: Ardi Ardi , Danil Muhammad , Murni Dewi , Gistituati Nurhizrah , Rusdinal Rusdinal , Hervi Fauziah
Published: September 2023

This research aims to analyze the problems that arise when implementing zoning as a method of student admission and find possible solutions. This study used the systematic literature review method with a qualitative approach. The data collection method used was documentation, namely examining documents in the form of books, literature, and scientific journals related to the topics written in this journal. Data was collected from reviewing the official website of eric.gov, Sinta, Scopus, and Garuda. Data were analyzed using thematic analysis techniques. The result of the study showed some of the main problems in implementing zoning-based admissions. These include the problem of establishing fair and equitable zoning boundaries, enrollment procedures that often need to be more transparent, the accumulation of students in good schools in the zone, and the need for more awareness and active participation from parents. Several solutions can be considered to address these issues. Such as increased investment in education infrastructure development by the government and the implementation of a strict monitoring system for the admission process based on zoning, and the government also needs to strengthen schools in vulnerable zone areas with various quality and facility improvement programs. This policy will help provide a more inclusive and high-quality education for all students by analyzing and addressing the issues that arise when implementing zoning-based admissions.
Standard Assessment Model for Scientific Integration-Interconnection as Material for Evaluation of Vision and Mission Achievement
Authors: Dewanti Sintha Sih
Published: September 2023

This study aims to develop a standardized assessment model of scientific integration-interconnection, which begins with conducting a literature review and needs assessment, setting goals, developing initial products, validating contents, testing readability, testing instruments, analyzing results, and ending with an interpretation of the results of the assessment. The method used is Research and Development. Testing of the assessment instruments was carried out for each element of the Tridharma of Higher Education, namely 76 lesson plans, 139 research and development works, and 41 community service works. The scientific integration-interconnection assessment model has characteristics according to the structure of the second order model, with the first order being 4 scientific integration-interconnection domains (philosophical domain, material domain, methodological domain, and strategic domain) and the second order is 15 aspects of scientific integration-interconnection. Data analysis techniques using Aiken-V, Exploratory Factor Analysis/EFA and Confirmatory Factor Analysis/CFA, Omega, Item Response Theory approach of polytomous scoring, and descriptive statistics. The assessment model is feasible, fulfilling the criteria of content validity, construct validity (p-value = 0.11949 and RMSEA = 0.027), estimated instrument reliability (α = 0.816), and construct reliability (ɷ =0.939). The scoring used the GRM approach with good quality in terms of the results of the 94% item fit test with an item discrimination index of 0.655 < DISCi < 1.153 and the average item difficulty level of -1.965 < DIFFi < -0.662.
The Development of an Instructional Material Book for Increasing the Effectiveness of the Learning Process in the Department of Religious Extension Education
Authors: Nababan Andrianus , Sari Agnes Novianti Permata , Manalu Goklas J. , Lumban Gaol Nasib Tua , Hutagalung Tasya Ivana , Waruwu Ariyanti
Published: September 2023

This study aims to develop an instructional material book for increasing the learning process's effectiveness in the religious extension education department. Religious extension education students at Institut Agama Kristen Negeri Tarutung participated in this research. This research method used research and development with the Borg and Gall Model, which, after being modified and adapted, consists of six stages, including (l) doing research and information collection; (2) planning; (3) developing a premier prototype; (4) conducting formative evaluation; (5) conducting product implementation; and (6) conducting summative evaluation. The validation process involved five experts assessing the content's material, media, design, evaluation, and language. Those experts were given questionnaires to evaluate the book's content, media, design, evaluation, and language appropriateness. Accordingly, the research results showed that the instructional material book about Christian religious extension and counseling techniques was feasible, proper, or valid to be used as an instructional material book in the Department of Religious Extension Education. Furthermore, according to the final test (post-test) of summative results carried out after the learning process using the book, the average student's overall score was 87.06, higher than the learning completeness score set at 75. Therefore, it was concluded that instructional material about Christian religious extension and counseling techniques was effective and helpful in enhancing students' knowledge and skills.
Exploring Isokinetic Test, Joint Position of Sense and Dynamic Balance in Anterior Cruciate Ligament Reconstruction versus Healthy Subjects
Authors: Monfaredian Omid , Amirseyfaddini Mohammadreza , Kooroshfard Negar , Alimoradi Mohammad , Bigtashkhani Roya
Published: September 2023

Reduced knee muscle strength, joint position sense (JPS), and dynamic balance are some of the impacts of anterior cruciate ligament (ACL) rupture that remained in patients after surgery. The goal of this study was to assess patients who had finished a sport rehabilitation programme and were back exercising with their healthy partners for the JPS, dynamic balance, and knee muscle strength. In this study, 40 male soccer players—20 participants with autograft reconstruction of the hamstring or surgery, and 20 uninjured participants—took part. By using isokinetic dynamometry, the flexor and extensor peak torque of the knee at angular velocities of 60 deg. s-1, JPS at 60°, and dynamic stability were assessed in the dominant leg by using Y balance test. The independent t-test was utilized to compare the outcomes between the two groups. The findings demonstrated that there were no differences in any of the test parameters for determining muscle strength and JPS between the two groups at 60 degrees per second in the dominant leg. (p > 0.05). Furthermore, there was no observed difference in all directions of YBT between Injured and healthy groups in dominant leg (p > 0.05). The results of this study allow us to make the conclusion that when a rehabilitation programme has been completed successfully, surgically induced outcomes may be improved and the risk of re-injury in athletes may be decreased.
Adapted Physical Education for Autism Spectrum Disorder: A Bibliography Analysis in Publication 2001-2023
Authors: Burhaeın Erick , Phytanza Diajeng Tyas Pinru , Lourenço Carla Cristina Vieira , Abror Muchlas , Setiawan Agus
Published: September 2023

This study chose the Pubmed database (one of the world's leading databases) as the research sample and data source to be used in the bibliometric analysis. The research sample of 143 articles was published following keyword search conditions. To explore and identify key thematic areas as well as emerging topics using keyword co-occurrence analysis. To support the visualization and analysis process of the data obtained, the Vosviewer application is used. The results of this study show that APE for ASD is a research field that still needs development, this is seen from the productivity in publications ranging from 2001 to 2023, whose publication range is still below 85 articles per five years. In the visualization section, the density of high keywords is presented in 5 clusters, namely: (1) disorder; (2) service; (3) quality; (4); student (5) intervention. Bibliometric analysis in the form of mapping this analysis provides conveyance to the public regarding the pattern of publication development in the field of APE for ASD. With these findings, it helping make a multi-year research roadmap. Furthermore, it contributes to further next research, namely such as: 1) The need for holistic research on the dimensions of disorder, service, quality, and student that cluster; and, 2) the need for in-depth research focusing on one or more of the themes that are still rarely studied. such as motor skills, eating, COVID, autistic adult, Emily, home, depression, mother, care, and autistic individual
Effect of Custom Design Insole Applications with 3D Modelling on Baropodometric Parameters in Individuals with Pes Planus
Authors: Aydoğan Özgür , Yazıcı Naile Hande , Tarakcı Devrim , Atılgan Esra
Published: September 2023

It was aimed to investigate the effect of custom made insoles on baropodometric analysis parameters in individuals with pes planus, using objective measurement and production methods. 100 individuals with pes planus, aged between 4-18 years in the study. Individuals who met the inclusion criteria and the medial longitudinal arch index were included in the study. Valgus angles of individuals, plantar measurements of the feet before the use of insoles and after 6 months of the use of insoles were evaluated with the Sensor Medica®️ device. When the measurement results of the ankle valgus angles of the individuals before and after the insoles were examined, it was observed that there was a statistical decrease in the mean results in both feet (p<0,05). When the plantar pressure results were examined, the load on the medial side of the right foot was reduced significantly (p=0,012). Although there was a decrease in medial longitudinal arch of the right foot, it was not significant. There were no change in the lateral side of the right foot and the medial side of the right rearfoot. The load on the medial left rearfoot and the left medial longitudinal arch were reduced significantly (p=0,004, p=0.021). In study in individuals with pes planus, it was concluded that the foot should be well evaluated before and after technological based applications. Whether the insoles used provide benefits in foot development should be followed up with controls and their suitability should be checked, and changes in their physical capacities should be observed.
Transformasi sistem pengadukan dalam produksi serbuk jahe merah
Authors: Dessy Agustina Sari  , Sukanta Sukanta , Saputro Nurcahyo Widyodaru , Hasyim Muhammad , Fardiansyah Mohammad Ilham
Published: September 2023

Kesulitan penggiat usaha ekonomi mandiri dalam memanfaatkan pasca panen jahe merah menjadi produk siap konsumsi. Penggunaan tenaga manusia di keseluruhan unit proses menjadi perpanjangan waktu dan penekanan jumlah bahan yang akan diproses. Hal ini dialami oleh mitra JAMER di kabupaten Karawang yang mampu memproses jahe merah di bawah 5 kg per hari. Dampak bagi konsumen adalah pemesanan menjadi tidak leluasa meningkat. Salah satu penanganan unit proses adalah penghasilan serbuk jahe merah. Tujuan. Transformasi tenaga kerja menjadi listrik menjadi solusi terdekat bagi mitra dan membantu jumlah bahan yang terproses. Hal ini didukung oleh proses pemekatan dan penghasilan bubuk jahe merah. Keterlibatan peran teknologi tepat guna menjadi kolaborasi dan sinergitas antara tim pelaksana pengabdian dengan industri Temaru Engineering Indonesia. Perusahaan ini akan membantu dari sisi perawatan dan perbaikan purwarupa yang akan diterapkan di desa Karyabakti. Menjadi desa binaan sejak pertengahan 2019 memberikan perkembangan dan kemajuan satu per satu bagi UPPKS Bakti Lestari. Pengalihan dari penggunaan peralatan rumah tangga yang sederhana untuk menghasilkan bubuk jahe merah menjadi tangki proses (dilengkapi pengaduk bertenaga listrik). Implementasi ini juga memberikan pengaruh terhadap jumlah jahe merah segar yang diproses dan kuantitas pemesanan konsumen. Kemudian, pelibatan mahasiswa dikhususkan ke arah pemasaran untuk mengajarkan perihal kewirausahaan dalam wadah himpunan setempat.
AN OVERVIEW OF NANOSENSORS AND THEIR POTENTIAL APPLICATIONS : PERSPECTIVES AND PROSPECTS
Authors: Vyas Jayvardhan , Khan Saifuddin , Jenson Arunkumar Paul Agnel , Kaushik Harsh , Deshmukh Samadhan ,   NMIMS
Published: September 2023

Advancements in nanomaterials and enhancement in fabrication techniques have made it possible for nanosensors and nanotechnology to reach a wide spectrum of applications. This review briefs the broader aspects of physical, chemical, optical, and biological sensors and their fabrication methods. The types of nanosensors mentioned in the article are used to detect specific characteristics over several applications varying from biological and chemical to automotive and aerospace industries. This study provides an overview of present nanosensor technologies, and it also gives the reader an idea of what the future beholds for this crucial segment of nanotechnology. The study also provides an overview of the findings achieved in the use-specific detections that vary from existing processes.
“DATASET TO MODEL: OPTIMIZATION OF IMAGE CLASSIFICATION WITH NEURAL NETWORKS”
Authors: Sharma Ruchi , Sekhar Dr. Chander ,   Somany Institute of Technology & Management,
Published: September 2023

The field of computer vision has seen rapid growth in recent years, with image classification being one of the fundamental tasks within the field. In image classification, a ‘machine learning algorithm’ is trained to identify and categorize objects within an image. Such Pre-trained models can be used to save time and computational resources, as the model has already learned to extract useful features from the data. Efficient Net-Lite models, MobileNetV2, and ResNet50 are some of the pre-trained learning models that are used for image classification tasks. Tensor Flow Lite Model Maker is a library developed by Open AI that simplifies the process of adapting a model to specific input data, which is necessary when deploying the model to run on a device. The library can be used to convert a Tensor Flow model into a format that can be run on a mobile device, such as a smartphone or tablet. This paper presents a study on the optimization of image classification using neural networks. The study utilizes a dataset to train a neural network model and investigate the impact of various parameters on the accuracy of the model. The dataset is preprocessed to remove any outliers and ensure the quality of the data. The neural network model is then optimized through the use of different architectures and hyper parameters. The study shows that the accuracy of the model can be improved through the use of various optimization techniques. Overall, this research contributes to the growing body of knowledge on the optimization of image classification using neural networks, and provides insights on how to effectively train a model for improved accuracy.”
AN IN-DEPTH STUDY OF LANE DETECTION FOR AUTONOMOUS CARS USING COMPUTER VISION TECHNIQUES
Authors:   Institute of Technology, Nirma University, Gajjar Henil , Sanyal Stavan ,   Institute of Technology, Nirma University,
Published: September 2023

The article discusses the importance of selfdriving cars to improve road safety and reduce the number of accidents caused by human error. Self-driving cars not only reduce human error but also help reduce driver fatigue. We further explore the use of computer vision in autonomous cars, with previous research relying on deep learning algorithms with LiDAR sensors which can be expensive. The authors propose a more cost-effective approach using simple computer vision algorithms such as color space transformation, Canny edge detection, and Hough line transformation to detect lane lines and steer the car accordingly. This approach requires less operational hardware and can be implemented using affordable boards like Raspberry Pi and Nvidia Jetson Nano. The article also highlights the reconstruction of a remote-controlled car that had a 95% accuracy using a certain set of parameters was a tool for understanding autonomous cars better.
PNEUMONIA AND HEART DISEASE DETECTION USING MACHINE LEARNING
Authors: Jadhav Prathamesh , Sonawane Trupti , Jadhav Aakanksha , Phadale Atharv , Chavan Neeta ,   Mumbai University
Published: September 2023

The proposed project health care kit involves a heart disease prediction system and Pneumonia detection. Pneumonia is an infection that inflames the air sacs in one of the lungs or both the lungs. The aim is to build an application for pre-detection of pneumonia by using machine learning algorithms to analyze important parameters that lead to the disease which are delivered with consultation of doctors so we are automatically identifying whether possibility of a patient has pneumonia. Various machine learning algorithms are first compared to find the suitable algorithm giving maximum accuracy. If the person shows the possibility to have the disease then, in the second stage where Xrays are required, person to person vision may not be perfect. So, with the help of ensemble learning and CNN classification model we classify the pneumonia infected lungs. Heart disease, often known as cardiovascular disease, is the leading cause of death globally over the past few decades. It may include a variety of disorders that have severe impact on the heart conditions. Heart disease prediction system seeks to use data mining methods on medical data sets to help in heart disease prediction.
COLLEGE EVENT MANAGEMENT SYSTEM USING WEB TECHNOLOGIES
Authors: Mounika Podila , Divya Sree Sunkesula , Sushmitha Tatikonda , Harsha Sree Gujja , Medha Aluka ,   GNITS
Published: September 2023

In college multiple events are conducted and there is need to manage and store the information of various events. It is a challenging task to arrange all the teams and events manually. Traditionally all the information about the technical and non-technical events has been circulated among the students through notice board. Some students may not receive information and may miss the events. The coordinators may find difficult to pass the information and to manage registrations. The main aim of the project is to automate the college event management system with the help of full-fledged computer software by creating a website. The website will be reliable, secure and can store large number of records. The stored data will be easily accessible, available and can be manipulated. The technologies used in this project are HTML, CSS, JSP, Java, Servlets, MySQL, Tomcat.If any information was to be found it was required to go through the different registers, documents there would never exist anything like report generation. There would be unnecessary consumption of time while entering records and retrieving records. One more problem was that it was very difficult to find errors while entering the records. Once the records were entered it was very difficult to update these records. The reason behind it is that there is a lot of information to be maintained. For this reason, we have provided various features in our proposed system that is partially automated.
CUSTOMER BEHAVIOUR PREDICTION FOR ONLINE SHOPPING: A REVIEW
Authors: Srivastava Aryan , Mahmood Asad , Chaudhary Apoorv , Sahai Anikesh , Kumar Pradeep , Banerjee Kakoli , Kumar Ajay ,   JSS Academy of Technical Education
Published: September 2023

Prediction client behavior in the context of ecommerce is becoming more and more important with the rapid growth in the number of internet transactions brought on by today's shift from visiting physical businesses to online purchasing. By enabling a more individualized shopping experience, it can boost consumer happiness and sales, resulting in improved conversion rates and a competitive edge. Therefore, being able to estimate customer purchases accurately has become a crucial tool for e-commerce businesses. Such data aids in the strategic choice-making during the manufacturing processes as well as the planning of the inventory at the warehouse and point of sale.
EXPLORATION OF GEOLOGICAL AREAS USING DRONE SIMULATION
Authors:   G H Raisoni Institute of Engineering & Technology, Gonnade Priyanka
Published: September 2023

Flight Planning and Modeling is a modelling methodology that can be used for the purpose of exploration of geological areas. It helps to understand the details of sedimentation rocks, foreland basins, changes in sea – level, aquifer, elevated areas, country rock, crest etc. In this system we have concentrated on stratigraphic creation of landscape of elevated areas. The flight planning and modeling view that gets generated through various resources is not very precise with respect to the 3D modelling. The View lags certain area depth, elevation and resolution. The Stratigraphic view of landscape that our system generates uses Finite Element Modelling. Finite element modelling serves as an aid for the creation of high-resolution landscape view of elevated areas. The system generates a model that describes the geological aspects of areas which are of major use to geologist. The 3d model that the system generates provide the ability to create renderings for design proposals. The concepts of Flight Planning and Modeling Photogrammetry, Orth mosaic and solid meshing has been used to generate the geological 3d model. The photogrammetry model and MATLAB model is given as an input to finite element modelling to generate the 3d model.
FAKE NEWS DETECTION USING MACHINE LEARNING
Authors: Shrivastava Prakhar , Kataria Himanshu , Pratap Singh Nishant , Kumar Dharmendra , Narayan Om ,   KIET Group of Institutions
Published: September 2023

—In today’s digital age, many smartphone users tend to consume their news through social media platforms rather than traditional internet sources. Since news sites share the latestupdates with sources to verify their authenticity, the challenge remains to discern the credibility of news and social media articles. There are many social media sites such as whatsapp, facebook and twitter. Harnessing the power of ML and NLP, this article introduces a model and methodology to detect fake or misleading news. The outcomes of the proposed model were compared to those of the current models, with an impressive accuracy of 93.6 percent demonstrating its efficacy in accurately identifying fake news.
A REVIEW ON DROWSY DRIVING DETECTION DEVICE USING ARDUINO AND EYE-BLINK SENSOR
Authors: Singh Sonveer , Pratap Singh Abhendra , Pal Singh Hamendra , Kalyani Nimesh , Sharma Garvit ,   HMRITM
Published: September 2023

Driver inattention is one of the biggest contributors of road accidents. Driver fatigue and distraction are the two leading reasons of crashes involving vehicles. Tired drivers are just as dangerous as drunk drivers since they have shorter reaction times and less attention, awareness, and control of their automobiles. Driving while disoriented or distracted can result in a horrific death and can also endanger or jeopardize the safety of others. A fraction of a second of poor visual judgement can result in permanent blindness. Effective actions should be implemented to prevent driver drowsiness to lessen the frequency of road accidents. This paper has a significant impact on those who do not care for themselves. This is a safety mechanism that informs the driver if he becomes drowsy. The driver's eye movement is tracked, and if the driver falls asleep or closes their eyes for more than 2 seconds, a buzzer or vibrator will detect and notify the driver. Using an Arduino micro-controller as a foundation, this operation provides a low-cost option in automotive safety technology for accident avoidance and, as a result, reduces road traffic accidents. This paper aids in the prevention of such accidents and serves as a preventive measure to lower the danger of national accidents, particularly those caused by drowsy driving.
Genomic and comparative analysis of the T cell receptor gamma locus in two Equus species
Authors: Massari Serafina , Giannico Francesco , Paolillo Nunzia Valentina , Pala Angela , Jambrenghi Anna Caputi , Antonacci Rachele
Published: September 2023

The genusEquusis the only extant genus of the Equidae family, which belongs to Perissodactyla, an order of mammals characterized by an odd number of toes (odd-toes ungulates). Taking advantage of the latest release of the genome assembly, we studied, for the first time in two organisms belonging to theEquusgenus, the horse (Equus caballus) and the donkey (Equus asinus), the T cell receptor gamma (TRG) locus encoding the gamma chain of the γδ T cell receptor. Forty-five Variable (TRGV) genes belonging to the seven IMGT-NC validated mammalian TRGV subgroups, 25 Joining (TRGJ) and 17 Constant (TRGC) genes organized in 17 V-J-(J)-C cassettes, in tandem on about 1100 Kb, characterize the horse TRG locus, making the horse TRG locus the one with the greatest extension and with a significantly higher number of genes than the orthologous loci of the other mammalian species. A clonotype analysis of an RNA-seq transcriptomic dataset derived from spleen of an adult healthy horse, using the complete set of the horse TRGJ germline gene sequences as a probe, revealed that, in addition to the most prominent V-J rearrangements within each cassette, there is a relevant proportion of trans-cassette V-J recombination, whereby the same TRGV genes can recombine with different TRGJ genes spliced to the corresponding TRGC genes. This recombinant event strongly contributes to the diversity of the γ chain repertoire. In the donkey TRG locus, 34 TRGV, 21 TRGJ and 14 TRGC genes distributed in 14 V-J-(J)-C cassettes were found in a region of approximately 860 kb. Although the donkey’s TRG is smaller than that of the horse, inEquusgenus, this is still the second largest locus so far found in any mammalian species. Finally, the comparative analysis highlighted differences in size and gene content between the horse and donkey TRG loci, despite belonging to the same genus, indicating a good level of diversification withinEquus. These data is in agreement with the evolutionary idea of the existence of aEquusrecent common ancestor in rapid evolution, for which a mutation rate between horses and donkeys is more comparable to that between species belonging to different genera rather than to species of the same genus.