bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Core Values and Leadership Style on Employee Performance in Hospital Business
Authors:   Universitas Muhammadiyah Jember, Prasetyo Imam Dwi , Herlambang Toni ,   Universitas Muhammadiyah Jember, Martini Ni Nyoman Putu ,   Universitas Muhammadiyah Jember, Qomariah Nurul ,   Universitas Muhammadiyah Jember
Published: June 2024

Human resources are one of the main drivers in the success of an organization, even whether an organization is successful or not is determined by the existence of human resources. This research aims to determine the influence of core values and leadership style on employee performance at RSD dr. Soebandi Jember. The population in this study were all employees of RSD dr. Soebandi Jember, totaling 1,123 employees. By using the Slovin formula, it is known that the sample size is 100 respondents. The data analysis method used in this research is Structural Equation Modeling (SEM). The research results show that the core values applied at RSD dr. Soebandi can improve employee performance. The leadership style applied by RSD dr. Soebandi has a positive impact on improving employee performance.
The Influence of Quality of Work Life on Work Life Balance Which is Mediated by Job Stress, Job Satisfaction and Job Commitment (Study on Employees PT Nindya Karya Project Indonesia)
Authors:   Master of Management Program, Faculty of Economics and Business, Andalas University, Padang-Indonesia, Arasma Bob , Fahmy Rahmi ,   Lecturer in the Master of Management Program, Faculty of Economics and Business, Andalas University, Padang-Indonesia, . Yulihasri ,   Lecturer in the Master of Management Program, Faculty of Economics and Business, Andalas University, Padang-Indonesia
Published: June 2024

This research aims to analyze the influence of Quality of Work Life on Work Life Balance which is mediated by Job Stress, Job Satisfaction and Job Commitment (Study on Employees PT Nindya Karya Project Indonesia). The type of research used in this research is explanatory research, with the research method being an explanatory survey which prioritizes quantitative methods. The population is all employees of PT Nindya Karya Project Indonesia, totaling 197 people, with a sample size of 132 people. The sampling technique uses nonprobability sampling with accidental sampling technique. The data analysis method uses Structural Equation Modeling - Partial Least Square (SEM-PLS). The research results show that Quality of Work Life has a significant positive effect on Job Stress, Job Satisfaction and Job Commitment. Job Stress, Job Satisfaction and Job Commitment has a significant positive effect on Work Life Balance. Quality of Work Life has a significant positive effect on Work Life Balance which is mediated by Job Stress, Job Satisfaction and Job Commitment
Implementation of Internal Control, Good Corporate Governance and Whistleblowing System for Fraud Prevention
Authors:   Accounting Study Program, Faculty of Economics and Business, Universitas Muhammadiyah Palembang, , Welly , Rizkika Witri ,   Accounting Study Program, Faculty of Economics and Business, Universitas Muhammadiyah Palembang, Asterina Fenti ,   Accounting Study Program, Faculty of Economics and Business, Universitas Muhammadiyah Palembang, Zuraidah Ida ,   Accounting Study Program, Faculty of Economics and Business, Universitas Muhammadiyah Palembang
Published: June 2024

This research aims to determine the effect of implementing internal control, good corporate governance and whistleblowing systems on fraud prevention. The type of research used is associative research. The location of the research was carried out at four Rural Banks in Palembang City. The data used is primary data. Data collection techniques are through interviews and questionnaires. The sample collection method uses purposive sampling. The population in this study included 47 respondents from the internal control system, compliance and risk management, head of operations, head of credit & legal Information, internal audit and finance. The data analysis method used is quantitative analysis. Technical analysis uses multiple linear regression and t test. The t test results show that the Implementation of Internal Control has no effect on Fraud Prevention, Good Corporate Governance has an effect on Fraud Prevention, and the Whistleblowing System has no effect on Fraud Prevention.
Determinants of Digital Financial Literacy for Young Adult Generation in Indonesia
Authors:   Faculty of Applied Science, Telkom University, Bandung, Indonesia, Widaningsih Sri , Firmialy Sita Deliyana ,   Faculty of Communication and Business, Telkom University, Bandung, Indonesia
Published: June 2024

Industry 4.0 has greatly facilitated the adoption of Digital Finance Inclusion (DFI) in Indonesia. Consequently, DFI providers need to investigate the many variables influencing DFI users to understand their consumers better. The primary step in comprehending the initial hurdles for DFI is through DFL (Digital Financial Literacy). This study aims to identify, quantify, and authenticate the factors that influence Digital Financial Literacy (DFL) among Indonesian people who engage in fintech services. In 2023, 225 adult fintech users in Indonesia were polled via a self-administered survey. The findings demonstrate that there are 11 factors that influence DFL among adults in Indonesia. This study generated unique contributions by emphasizing critical parameters that offer solutions for assessing digital financial literacy that can serve as a foundation for constructing a digital financial literacy index. Therefore, the study shows that a deep foundational understanding of DFL is necessary to utilize DFS efficiently.
PENGARUH DAYA DUKUNG TANAH DALAM PENENTUAN PONDASI BORED PILE DAN PILE CAP PADA GEDUNG BERTINGKAT
Authors: Nurokhman Nurokhman , Iskandar Muhammad Ryan , Hanafi Nufrizal Farid , Marasabessy Muhammad Irfan
Published: June 2024

In building design, the problem of soil investigation is to determine the property value and property engineering which determines the selection of the foundation type and its depth. Generally, soil investigations are carried out by means of sondir and drilling which are then calculated with a certain formula to determine the bearing capacity of the soil. The purpose of this study is to identify soil properties at the project site, evaluate the results of soil investigations, and bored pile foundation design. The research method is to collect data from reference sources that are directly related to designing, especially PT. Poladata Consultant Consultants, and direct surveys to the location through systematic stages.
Results soil investigation, the Cone Penetration Test (CPT) soil test at the site location of the UGM Faculty of Law Building was carried out at 2 points (S-1 and S-2) which shows the groundwater level at an elevation of -4.00 m, and soil drilling or Standard Penetration Test (SPT) at a depth of -13.40 m, the value of qc conus resistance reaches> 600 kg / cm2. The carrying capacity of the bored pile from the SPT data uses the Reese & Wright method for the case study F1 foundation is installed with 4 bored piles diameter (d) = 0.8 m2, depth (L) = 23-28 m, carrying capacity (qp) = 272.328 T/m2, Safety Factor (SF) = 3, with a piece size of 3.6 m x 3.6 m thick 1.2 m with reinforcement D16-120 mm.
ANALISA PENGEMBANGAN JARINGAN IRIGASI AIR TANAH (JIAT) KABUPATEN GUNUNG KIDUL
Authors: Suharyanto Indra , Arifin Muhamad , Saka Aji
Published: June 2024

The development of the Groundwater Irrigation Network (JIAT) invites all residents at several points in the Gunungkidul Regency to support agricultural activities by utilizing water from below the ground surface using water pumps so that they can distribute water needs for irrigation purposes. This study aims to determine the amount of irrigation water needs with several variations of cropping patterns. So that the development of the Groundwater Irrigation Network (JIAT) can increase agricultural productivity in Gunungkidul Regency.
From the results of research through a survey at each location of the Groundwater Irrigation Network (JIAT) in Gunungkidul Regency, it shows that in order to increase agricultural productivity, special maintenance or rehabilitation costs are needed in order to get periodic maintenance that is heavy repair or replacement of components in the irrigation network, as a form of food security national.
REVIEW MUTU LAPISAN BETON FS 45 PADA RUAS JALAN KOKAP KULONPROGO
Authors: Kristyanto Hery , Nurokhman Nurokhman , Naufali Daffa
Published: June 2024

Lapisan beton FS 45 sebagai rigid pavement telah menjadi standar mutu lapisan kaku untuk mendukung beban lalu lintas yang besar dan arus lalu lintas padat. Mutu beton rigid pavement pada ruas Jalan Kokap – Pripih Kulonprogo sebagai peningkatan konstruksi jalan sebagai bagian pengembangan Kawasan Strategi setelah adanya Bandara Yogyakarta International Airport. Studi bertujuan mengetahui dan menganalisis properti bahan susun beton FS 45, proporsi campuran, dan hasil kuat tekan dan kuat lentunya. Metode penenlitian dilakukan melalui pengamatan langsung di Laboratorium Balai Pengujian DPUESDM DIY dan di lokasi pekerjaan.
Hasil pemeriksaan propperti agregat terhadap abrasi berdasarkan SNI 03-2417-2008 sebanyak 500 putaran hasilnya sebesar 37,516% (maks 40%), kesetaraan pasir berdasarkan SNI 03-4428-1997 hasilnya 75,85% (min 50%), kekekalan atau soundness pada agregat halus (FA) berdasarkan SNI 3407-2008 sebesar 5,15 % dan agrgeat kasar (CA 2/3) sebesar 9,51% ( maks 18%), sesuai SNI 1970-2016 berat jenis agregat halus SSD 2,711, penyerapan (absorption) 1,771% dan untuk berat jenis SSD agregat kasar 2,509, absorption 2,927%. Proporsi beton FS 45 untuk volume 1 m3 adalah air 170 liter, PC 531,25 kg, Agegat halus 515,76 kg, agregat kasar 1147,99 kg sehingga berat total beton 2365 kg. Berdasarkan hasil pengujian diperoleh rata-rata nilai slump 50 mm memnuhi 30-60 mm. Hasil pengujian kuat tekan beton rigid fs 45 kuat tekan rata-rata sebesar 42,81 Mpa memenuhi batas yang disyaratkan 39,7 MPa, hasil pengujian kuat lentur beton Fs 45 dalam bentuk balok menunjukkan kuat lentur rata-rata adalah 5,5 Mpa memenuhi yang disyaratkan 4,4 Mpa.
KOMPARASI AGREGAT PROGO DAN MERAPI DAN PENGARUNYA TERHADAP MUTU BETON FS 45
Authors: Nurokhman Nurokhman , Kristiyanto Hery , Subagyo Singgih , Hermanto Hery
Published: June 2024

Kekuatan beton dipengaruhi oleh bebrapa factor dan salah satunya adalah properti mutu agregat diantaranya gradasi, berat jenis, kandungan lumpur, dan keausan. Parameter tersebut akan mempengaruhi banyaknya proporsi material dalam target mutu beton. Dalam SNI 7656:2012 untuk campuran beton normal dipengaruhi butiran maksimum split, berat jenis, dan gradasi yang pada akhirnya akan memberikan porsi volume agregat dalam 1 m3. Tujuan penelitian mengetahui dan menganalisis properti agregat halus dan agregat kasar sumber Kali Progo dan sumber Merapi, dan pengaruhnya pada campuran beton FS 45.
Hasil pemeriksaan agregat Kali Progo berat jenis (Bulk) agregat halus 2,64, berat jenis kering permukaan 2,69, berat jenis semu (apparent) 2,77, dan penyerapan (absorption) 1,77%. Sedangkan agregat Merapi Sleman berat jenis (Bulk) agregat halus 2,505, berat jenis kering permukaan 2,586, berat jenis semu (apparent) 2,726, dan penyerapan (absorption) 3,244%. Untuk menghasilkan kuat lentur beton FS 45  kuat lentur rencana 45 kg/cm2 dan slump 3-6 cm dengan agregat Progo diperlukan fas 0,3 dengan perbandingan  1 PC : 0,9 AH : 1,88 AK sedangkan beton agregat Merapi 1 PC : 0,9 AH : 2,25 AK yang berarti diperlukan berat agrgat kasar yang lebih banyak.
Hasil pengujian kuat lentur FS 45 balok campuran beton dengan agregat Merapi telah memiliki kuat lentur relatif lebih tinggi 102% dimana kuat lentur dengan agregat Progo 52,792 kg/cm2 dan kuat lentur agregat Merapi 53,569 kg/cm2.
PENGARUH HAMBATAN SAMPING TERHADAP KINERJA LALU LINTAS (Studi Kasus : Jalan Gito Gati, Kabupaten Sleman, Yogyakarta)
Authors: Suryanto Suryanto , Suharyanto Indra , Fasya Ninda Zuhaira
Published: June 2024

Tingginya suatu nilai hambatan samping pada suatu ruas jalan akan mempengaruhi penurunan pada inerja jalan. Besarnya hambatansamping sangat berpengaruh terhadap kapastitas ruas jalan dan kecepatan kendaraan. Tujuan dari penelitian ini adalah untuk menganalisis faktor faktor yang mempengarhi kinerja lalu lintas pada beberapa kondisi hambatan samping.
Penelitian ini dilakukan bertujuan untuk melihat tingkat kepadatan kendaraan dan survei hambatan samping untuk melihat besarnyapengaruh gangguan. Penelitian ini dilakukandengan cara survei volume lalu lintas selama 4 hari yaitu pada yanggal 16,17,18,19 Februari 2023. Perhitugan selanjutnya dilakukan dengan Panduan Kapasitas Jalan Indonesia 2014 untuk Jalan Perkotaan.
Bersasarkan hasil perhitungan didapat Q sebesar 1697,5 smp/jam. Kecepatan tempuh sebesar 31 km/jam dan waktu tempuh sebesar 23,2 detik. Kapasitas (C) sebesar 3575,12 smp/jam dan derajat kejenuhan (DS) sebesar 0.475 dan tingklat pelayanan C. Berdasarkan Panduan Kapasitas Jalan Indonesia (PKJI) 2014 untuk Jalan Perkotaan faktor hambatan samping yang paling berpengaruh adalahkendaraan keluar/masuk dari samping jalan. Hal ini menunjukan perlu adanya penertiban aktivitas jalan pada jam jam puncak.
PENGARUH CURING MENGGUNAKAN AIR SUNGAI DAN AIR SUMUR TERHADAP KUAT TEKAN BETON
Authors: Erlina Erlina , Permatasari Cahyaning Kilang
Published: June 2024

Pembangunan infrastruktur diharapkan dapat menciptakan pemerataan pembangunan serta meningkatkan daya saing ekonomi secara global, luasnya wilayah Indonesia dan beragamnya kondisi geografis tentunya menjadi tantangan tersendiri pada dunia konstruksi untuk menciptakan suatu infrastruktur yang aman dan nyaman. tingkat ketahanan atau Keawetan material konstruksi juga menjadi pertimbangan penting dalam membangun berbagai infrastruktur. untuk mencapai mutu beton yang direncanakan ada beberapa faktor yang harus diperhatikan seperti cara pencampuran (mixing), penuangan (casting), pemadatan (compacting), dan perawatan (curing). Faktor lain yang tidak kalah penting adalah mutu bahan pembantu seperti mutu cetakan (from work). Adapun tujuan yang hendak dicapai dalam penelitian ini yaitu untuk, Mengetahui perbandingan kuat tekan beton yang dihasilkan setelah proses perawatan (curing) menggunakan air sungai dan air sumur yang diuji pada umur 28 hari. Benda uji yang digunakan dalam pengujian kuat tekan yaitu berupa slinder  beton dengan diameter 15 cm dan tinggi 30 cm berjumlah enam (6) buah, perawatan dilakukan terhadap benda uji yang telah dibuat didiamkan selama satu (1) hari kemudian dikeluarkan dari maould dan dilakukan perawatan dengan cara merendam benda uji kedalam bak perendaman sesuai umur yang di rencanakan. Berdasarkan hasil penelitian yang dilakukan diketahui bahwa air sumur dan air sungai memiliki niali ph 7,1 dan 6,7 dimana nilai ph kurang dari 7 tergolong asam, lebih dari 7 tergolong basah dan ph 7 bersifat netral, pada uji coba kuat tekan beton, diketahui bahwa nilai kaut tekan tertinggi pada beton dengan proses perawatan (curing) mengunakan air sumur memiliki kuat tekan sebesar 23,02, sedangkan untuk beton dengan proses perawatan (curing) mengunakan air sungai Gajah Wong sebesar 22,86 MPa dan dapat dimpulkan bahwa beton dengan proses perawatan (curing) mengunakan air sumur memiliki kuat tekan lebih tinggi dari pada beton dengan proses perawatan (curing) mengunakan air sungai Gajah Wong.
Pengamatan Perilaku Membersihkan Bulu (Preening) Pada Burung Bondol Jawa (Lonchura leucogastroides)
Authors: Kusuma Sonia Wilujeng , Rahmawati Aisyah , Shuhesti Nadya Rahma , Larasati Dian , Farhandhika Farendra Giri , Handziko Rio Christy
Published: June 2024

The bondol Jawa (Lonchura leucogastroides) is a pest for farmers because it consumes rice plants. The bondol Jawa (Lonchura leucogastroides) usually visits all types of agricultural land. Before carrying out the feeding behavior, the bondol Jawa (Lonchura leucogastroides) usually performs the preening behavior first. Research on the preening behavior of the bondol Jawa (Lonchura leucogastroides) was carried out to determine the pattern of cleaning behavior of the bondol Jawa (Lonchura leucogastroides) feathers. The research uses naturalistic, direct observation and behavior sampling methods. Data collection was carried out by observing the behavior of preening or cleaning the feathers of the bondol Jawa (Lonchura leucogastroides). Observations were made for three consecutive days in the morning in November, which is the rice season in the area's rice fields. Preening is done on the left wing, right-wing, chest, back, stomach, tail, and neck. The longest preening activity was on the right wing. In comparison, the shortest preening activity is on the chest.
Behaviour of Steel Concrete Composite Wall Panel Under Dynamic Loading
Authors: Shivamanjunathaswamy H G  , Suman Patil  , Kiran T
Published: June 2024

The seismic behaviour of Structural elements are increasingly grasping attention in recent years. This paper presents the study of behaviour of Composite wall panel using Normal Conventional concrete (NCC) and Basalt fiber reinforced concrete (BFRC) by conducting Dynamic shake table test. The four different types of Composite Wall Panels(CWPs) are cast and experimental results are analyzed with Numerical analysis and finite element simulation method. The experimental results revealed that BFRC has higher mechanical properties compared to NCC. The dynamic test result shows displacement and damping vibration along with the changing of natural frequencies. Steel sheet BFRC Composite Wall Panels resist higher seismic motions compared to normal concrete wall panels. Analytical and numerical method was performed in order to evaluate the experimental results. From these results Basalt fiber can be used in the structural members to improve the tensile and ductility properties and also the behaviour of CWPs gives the seismic strength parameters of wall panels.
Sign Language Prediction Using Deep Learning
Authors: Aditya Kulkarni  , Atharva Kulkarni  , Dr. P. Madhavan
Published: June 2024

Despite the significant potential benefits for wide social group, the concept of utilizing technology for sign language recognition remains largely untapped. There exist various technologies that could facilitate a connection between this social group and the broader community. A key tool in bridging the communication gap for sign language users is the ability to interpret sign language. Computers equipped with image categorization and machine learning capabilities can recognize sign language gestures, humans can then translate these packages. This study utilizes convolutional neural networks (CNNs) to detect sign language gestures. The dataset consists of stationary sign language motions recorded using RGB cameras, which underwent preprocessing to ensure cleanliness before being utilized as input data. The Inception v3 CNN model was chosen for retraining and testing on this study presents results using a dataset of sign language gestures, where the model utilizes multiple convolution filter inputs to process a single input, achieving a validation accuracy exceeding 90%. Additionally, the study reviews many efforts have been made in sign language detection utilizing machine learning and image depth data. evaluating the various challenges inherent in addressing this issue and discussing potential future developments in the field.
Evaluation of ROI Through Employee Training Program
Authors: Nunna suresh  , DR. T.Vara Laskshmi  , S.L. Andria Priyanka
Published: June 2024

Training and development is a necessary factor in the attainment of organizational objectives of any organization. In every organization exists some form training and development programme. The manpower has to be trained and developed in terms of quality and quantity so that they can effectively and efficiently control the commanding height of our profit.This abstract provides a succinct overview of the crucial role that training and development play in fostering employee growth, enhancing organizational capabilities, and ultimately driving sustainable success. It explores key aspects such as the alignment of training programs with organizational objectives, the importance of continuous learning in a rapidly evolving landscape, and the pivotal role of effective leadership in facilitating employee development.
The Impact of Third-Party Payment on The Profitability of Commercial Banks: Evidence from China
Authors: Zhou Quan Liu , Lajuni Nelson , Asid Rozilee
Published: June 2024

The research aimed to investigate third-party payment's impact on commercial banks' profitability: evidence from China. Drawing upon prior literature review and empirical evidence, this study gathered annual data. In recent years, propelled by the widespread adoption of Internet and information technologies, China's third-party payment sector has undergone significant expansion. The burgeoning array of third-party payment services has begun to exert a discernible influence on commercial banks. This paper synthesizes pertinent theoretical frameworks and research findings concerning the interplay between third-party payment systems and commercial banks' profitability. Drawing on annual data spanning 2013 to 2021 from a sample of 38 commercial banks, we investigate the ramifications of third-party payment on the profitability of these banks. Employing panel data analysis techniques, the empirical findings reveal a negative correlation between third-party payment and commercial banks' profitability, indicating a downturn in profitability associated with the proliferation of third-party payment services. The data from local banks in China, comprising a sample of 38 commercial banks. The dataset spans 2013 to 2021 and was analyzed using a panel data model. The results revealed an overall negative impact of third-party payment on the return on assets of commercial banks.
Características agronômicas e bromatológicas de genótipos de Carthamus tinctorius l. Potenciais para a região do cerrado
Authors: Máximo Silva Leonardo , Sanglard Demerson Arruda , Nogueira Ariane da Silva , Dourado Luan Rocha , Silva Leovandes Soares da , Lessa Marcos Fernando Gonçalves
Published: June 2024

O cártamo (Carthamus tinctorius L.) pode ser uma cultura alternativa na época de safrinha nas regiões de cerrado por apresentar alta produtividade com baixa demanda por água durante seu ciclo, além de ser uma cultura totalmente mecanizável. Atualmente é cultivado principalmente para produção de óleo comestível, óleo de cozinha e para aplicações farmacêuticas. Diante disso, o presente trabalho tem como objetivo avaliar o desempenho agronômico e as características bromatológicas e morfológicas de 19 genótipos de cártamo no semiárido norte mineiro. O trabalho foi realizado no Instituto de Ciências Agrárias da Universidade Federal de Minas Gerais (ICA/UFMG). O delineamento utilizado, foi inteiramente casualizado com 19 tratamentos (onde cada genótipo foi considerado como um tratamento) com 16 repetições. Avaliou-se características morfológicas, teores de proteína bruta e extrato etéreo. Os dados obtidos foram submetidos à análise de variância e as médias foram agrupadas pelo teste de skott-knott e analise multivariada (P<0,05). Os genótipos avaliados apresentaram teores de proteína, variando entre 18,65% e 26,69%. Os teores de extrato etéreo dos grãos dos genótipos avaliados variaram de 18,54 % (genótipo 63) a 24,98 % (genótipo 119). Os genótipos 73, 77 e 63, possuem uma superioridade em suas características morfológicas e bromatológicas, podendo assim ser feito novas pesquisas, afim de obter um material genético com grande potencial para o semiárido brasileiro.
Project Contract Management and Performance of Water Project in Baringo County, Kenya
Authors: Openji Sylus , Osoro Anthony
Published: June 2024

Purpose: This study sought to explore on projects contract management and performance of water contract in Baringo County, Kenya. The specific objectives of the study were: To determine the effect of project planning, community participation, project implementation and project evaluation on performance of contracts in Baringo County, Kenya.
Methodology: The study adopts a descriptive research design, and used both qualitative and quantitative approaches. The target population was200 respondent from water projects management in Baringo County. This study used purposive random sampling techniques. It will be census survey. The study used open-ended and closed-ended questionnaire as the main mode of data collection. Primary data was collected using structured questionnaires. Secondary data was collected from institutional documents, Ministry of water publications within the County and relevant publications in referred journals. The collected data was edited, coded and entered into Statistical Package for Social Science   version 26. Data was analysed using descriptive and inferential statistics. In particular, Regression Analysis was used to investigate the relationships between hypothesized variables. Analysis of Variance (ANOVA) was also be used to investigate whether independent variables has a combined effect on the dependent variable.  The data was analysed through the use of descriptive statistics. ANOVA, t-test, Pearson correlation, p- values and coefficient of determination was used in the data analysis. The analysis from cropha alpha was acceptable for reliability and validity with a results of over 0.7 and 0.5 respectively. Data was presented in form of tables.
Findings: The study summary agrees that there is a strong relationship between the independent and dependent variable. Also the conclusion and recommendation of this study confirms that there is need to implement the findings of this study.
Unique Contribution to Theory, Practice and Policy: The theories on which the study is hinged are contingency theory, the principal-agent theory, social cognitive theory and the CBPR model. The study recommends and on firms that the implementation of contracts practice and performance of water contracts in eastern region, Kenya was significant relationship. That in future different counties needs to strengthen performance of water contracts  Baringo County in Kenya and procurement process to all counties in Kenya, with the help of Project planning, community participation Project implementation and Tracking stock.
Hanap-Salita: Pagbabaybay sa Wikang Filipino
Authors: Bugtong Emmalyn B. , Demot Dina B. , Dicang Viviane Joy P. , Mang-usan Merlita P. , Molina Harlene B. , Olesio Marilyn A. , Eguia Maria Lourdes G.
Published: June 2024

Ang pananaliksik na ito ay nakatuon sa pagsuri sa paggamit ng hanap-salita upang mapahusay ang kasanayan sa pagbabaybay ng mga mag-aaral, nang sa gayon ay makapagpahayag sila pasalita man o pasulat. Ang pananaliksik ay sumailalim sa quasi-experimental na pamamaraan at ginamit ang deskriptibong pagsisiyasat. Ito ay isinagawa sa Baguio City High School, Baguio City, Benguet, Philippines sa taong panuruang 2023-2024 na may apatnapung (40) tagatugon na mag-aaral mula sa Grade 8. Ginamit ang pre-test at post-test sa pangangalap ng kinakailangang datos. Sa pre-test ay ginamit ang tradisyunal na paraan ng pagbabaybay habang sa post-test naman ay ginamit ang hanap-salita. Sinuri ang datos gamit ang kabuuang bigat, computed t at kritikal value ng t upang maihambing ang resulta ng pre-test at post-test. Ang sumusunod ay ang kinalabasan ng pag-aaral: 1) Kasiya-siya ang antas ng kasanayan sa pagbabaybay sa wikang Filipino ng mga mag-aaral sa tradisyonal na pamamaraan. Kung gayon, ang mga mag-aaral ay may dati nang kaalaman sa pagbabaybay; 2) Mahusay ang antas ng kasanayan sa pagbabaybay sa wikang Filipino ng mga mag-aaral gamit ang hanap-salita. Ibig sabihin, naitaas ang antas ng kasanayan sa pagbabaybay ng mga mag-aaral gamit ang hanap-salita; at 3) Ang antas ng kasanayan sa pagbabaybay ng mga mag-aaral sa wikang Filipino bago at pagkatapos gamitin ang hanap-salita ay may makabuluhang pagkakaiba. Kung kaya’t ang hanap-salita ay nakadaragdag sa kasanayan sa pagbabaybay ng mga mag-aaral.
INNOVATIONS IN MICROEMULSION TECHNOLOGY: A STATE-OF-THE-ART APPROACH FOR TOPICAL DRUG DELIVERY
Authors: Alam Rabnoor , Chauhan Ajay Pratap Singh , Singh Harshita , Kumar Vijay
Published: June 2024

A topical drug delivery system usually denotes local dermatological activity as the effect of the pharmaceutical component on the skin to cure the disease. The microemulgel can be used to achieve a combined effect of microemulsion and gel. It shows the dual control release effect of drugs and increasing stability. It has the primary objective ability to incorporate hydrophobic drugs. Various market products containing foreign agent, for example gel, cream, ointment they have several drawbacks, including poor absorption, poor permeability, allergic reaction, irritation, less spreading stickiness, and stability problem. This evaluation provides a summary of the best properties, excipient, preparation, and evaluation related to microemulgel. A recent study of recent development and future directions for microemulgel-based systems was conducted. The emulgel provides various beneficial aspects of its cosmetic and dermatology activity, thixotropic, greaseless, emollient, easily distributed, readily removable, non-staining and water-soluble, with a long half-life, biocompatible, and transparent and pleasant appearing. Therefore, emulgel is a better semi-solid preparation neither conventional system nowadays. It is utilized to administer of anti-inflammatory, anti-fungal, anti-acne, analgesic, anti-psoriasis drugs. The formulated emulgel is characterized of various parameters such as pH, viscosity, spreadability, etc. its need and merit will advance in the upcoming years.
Forensic Accounting: Investigate Fraud Cases or Develop Fraud Prevention Strategies in Oman Listed Companies
Authors: Hasani Haitham Nasser Hamed Al , Wahibi Afnan Talib Nasser Al , Zuhaibi Marah Said Mubarak Al , Ali Dr. Shahnawaz
Published: June 2024

Forensic accounting makes use of concepts and methods that date back centuries. The economy, society, and laws are just a few of the factors that have formed the profession in our ever-changing world. Accounting fraud has been more common in the international corporate sector in recent years. Because businesses are still relatively new and lack experience in managing their accounts, there are now undiscovered opportunities for those who commit accounting fraud. The public’s opinion of the many fraudulent operations that occur in the nation has also been negatively impacted by this. As a result, this article looks at how the general public feels about fraud detection, which is important for company expansion. The literature study on the public’s acceptance of fraud detection is the paper’s unique selling point. The significance of fraud detection for bolstering and competing in the business is outlined in this article.
An Evaluation of Perceived Quality Effect on the Choice of Poultry Feeds by Farmers in Nakuru West Sub-County, Nakuru County, Kenya
Authors: Busolo Hilary , Jerop Caren , Omoga Charles
Published: June 2024

Much attention has been devoted to research with interest in consumer behaviour because the complexities surrounding consumer decision making and myriad of influences play a major role in consumer choice of products. It would be useful for marketers, academicians, and those in the industry to better understand why a consumer makes a particular purchase. The Theory of Reasoned Action and the Fishbein model were used with regard to attribute and multi attribute effects on behaviour towards consumer purchase to highlight this concept. A snowball sampling technique was employed to investigate the effect of perceived quality on the choice of poultry feeds and identify the attributes that underlie perceived quality judgement of poultry feeds. The study postulates that there is no difference between farmers attitude towards the different brands of layers mash and that the perceived quality attributes that influence choice among the layers mash brands are different. Data was collected using a questionnaire and analysed using descriptive statistics and Kruskal Wallis test statistic. Results of the study reveal that there is a difference between farmers’ attitudes towards different layers mash brands, and that there is influence of perceived quality on the choice of layers mash. The implications of these are that marketers should differentiate their products offered on the market inorder to influence attitudes of consumers favourably towards their products. They should also look for the attributes consumers use to judge quality and ensure they are highlighted in their products and promotion campaigns
Impacto de la pandemia de covid-19 en la comunicación científica
Authors: Sánchez Soto Juan Manuel , Lopez Gomez Henri Emmanuel , Aguado Riveros Uldarico Inocencio , Silva Infantes Manuel
Published: June 2024

Introducción: La comunicación científica es vital durante cualquier contingencia, especialmente cuando existe alta incertidumbre. Para investigadores e instituciones, no contar con acceso a información veraz y equilibrada, impacta en su capacidad para enfrentar una crisis, como la pandemia del Covid-19. Objetivo: Evaluar el impacto de la pandemia de Covid-19 en el desarrollo de la comunicación científica. Desarrollo: Se evaluaron los aspectos que afectaron la comunicación científica durante la pandemia de Covid-19. Esto incluye la velocidad de difusión de información, la colaboración, la comunicación clara y accesible, el uso de plataformas digitales, la desinformación y el cambio de prioridades. Conclusión: En conjunto, estos aspectos han transformado la manera en que se comunica la ciencia durante la pandemia, promoviendo la colaboración global, la transparencia, la accesibilidad y la responsabilidad en la difusión de información científica. Estos cambios tienen el potencial de mejorar la comunicación científica en el futuro y fortalecer la capacidad de la sociedad para enfrentar desafíos de salud pública.
Effect of Financial Accountability Practices on Financial Sustainability of Micro Finance Institutions in Garissa County, Kenya
Authors: Diis Abdikadir Salah , Odunga Robert , Ayora Joel
Published: June 2024

Purpose: This study aimed at establishing the effect of financial accountability practices on financial sustainability of micro finance institutions in Garissa County, Kenya. Specifically, the study aimed at establishing the effects of financial reporting practices, risk assessment practices, financial structure accountability practices and monitoring activities on financial sustainability of micro finance institutions in Garissa County.
Methodology: The study was grounded in three key theories: Accounting Theory, Agency Theory, and Stewardship Theory. It adopted a descriptive research methodology and focuses on eight microfinance institutions in Garissa County. The target population includes 210 employees from departments such as Audit, Finance, and Accounting, along with operational staff, middle-level supervisors, and departmental heads. The study uses a census approach to select all 210 respondents. Both descriptive and inferential statistical methods are utilized for analysis. The analysis was conducted using SPSS version 24 and Microsoft Excel to generate both descriptive and inferential statistics. Tables and figures were employed in displaying the results of the study.
Findings: The study established that financial accountability practices comprising of financial reporting practices, risk assessment practices, financial structure accountability practices and monitoring activities positively and significantly affects financial sustainability of micro finance institutions in Garissa, Kenya. This is demonstrated by beta values of 0.176, 0.211, 0.436, and 0.306, along with significant values of 0.019, 0.007, 0.000, and 0.001, respectively. The results bears the implications that increasing each of the financial accountability practices with one unit results to increase in financial sustainability with respective beta values. The study concluded that enhancing the financial accountability practices leads to enhanced financial sustainability of micro finance institutions in Garissa County.
Unique Contribution to Theory, Practice and Policy: The study provided recommendations to the management of the MFIs to enhance financial accountability practices such as financial reporting practices, risk assessment practices, financial structure accountability practices and monitoring activities.
An expert system for detection of key pinch and tripod hand grip based on sEMG signals
Authors: Bhatlawande Shripad , Shilaskar Swati , Singh Shaurya , Dandwate Shubham
Published: June 2024

This work presents a system to recognize key pinch and tripod hand grips using surface electromyography. This system made use of sEMG signals collected from 8 subjects for training and testing, making use of a 4-channel system designed to recognize Key Pinch and Tripod Pinch hand grips. Signals were pre-processed using band pass filter and notch filter, and a time domain feature extraction was performed from these signals, namely Mean Absolute Value, Standard Deviation and Wilson Amplitude. This work implements and compares 5 different classifications techniques namely Random Forest, Decision Tree, Logistic Regression, KNN and Adaboost. Random Forest provided the highest testing accuracy of gesture recognition at 88.68% and a precision of 88.88%. The system correctly recognizes key pinch and tripod hand gestures.
Image based identification of millets using fusion of Hu moments and LBP
Authors: Shilaskar Swati , Bhatlawande Shripad , Duddalwar Prapti , Jaiswal Sakshi , Kadam Dipali , Chavan Kaustubh
Published: June 2024

The identification of millets is important for ensuring food security and sustainable agriculture. This work proposes a novel approach that combines computer vision techniques with ML algorithms to recognize different types of millets based on their visual features. These features are used to train a ML framework that can classify millets with high accuracy. The proposed system used 3 samples of millets which include jowar, bajra and raagi. Based on their shape and texture features the model predicts the millets using various machine learning algorithm. The accuracy of the proposed work is 92% using random forest classifier.
Bi-clustering based recommendation system
Authors: Mali Mahesh , Mishra Dhirendra , Vijayalaxmi M.
Published: June 2024

Users in the new age have countless choices of movies to watch, which creates the need for recommendation algorithms that will suggest a list of the best movies. The Recommendation algorithms will help users select the best movie to watch based on their personal choices and movie features. The first challenge among researchers is to find the most suitable dataset for the evaluation of recommendation algorithm performance. The work in the paper introduced a new MFRISE dataset to fulfil this challenge partially. The dataset is constructed using social data like Wikipedia, YouTube and other web sources with the help of web scraping data. The proposed algorithm uses Collaborative as well as Content-Based Filtering to produce more accurate results. This architecture is based on the biclustering technique to improve the accuracy of the predicted ratings for better recommendations. The biclustering method involves simultaneous clustering of the user, as well as movie dimensions. The biclustering method will uncover the hidden insights from the intersection of two clusters. The method has produced more relevant recommendations by reducing error values in the prediction of user ratings. The RMSE for the new algorithm is observed as 0.83, which is better than that of many popular algorithms. The paper presents several experiments for analysing the proposed bi-clustering method using meta-features of the new proposed dataset. The future development of the biclustering method is suggested at the end of our paper.
Estimating the opening stock price index for Indian market under the influence of varying crude oil and Dollar values through statistical time series analysis
Authors: Maheshwari Rahul , Kapoor Vivek
Published: June 2024

The proposed effort is a research analysis of the effect of various macroeconomic determinants such as price of Oil, Gold price and rate of Exchange (USD to INR) over Indian stock exchange market (we took NSE catalog as a reference for Indian share market). In proposed study, we took recurrent data for time period of 14 years i.e. 2008 to 2022. In proposed work, first of all we established a correlation between various macroeconomic determinants (price of Gold, Oil price and US dollar exchange rate) with NSEI (National Stock Exchange of India). Once correlation is found between these entities, we formulated regression equations to forecast opening value of NSEI centered on historical values of macroeconomic determinants. Here we devised seven different models and concluded the best models amongst them. Then we tested the given results from regression analysis by providing a test data and comparing the results of actual value of NSEI with the predicted value. Finally, we proposed finest prototype to forecast the National Stock Exchange index.
A method to estimate crowd size and crowd count
Authors: Saharan Ravi , Kesswani Nishtha , Aggarwal Basant
Published: June 2024

Crowd is known when people in large number gather together. When crowd gather for any reasons, it may cause any serious problem for administration. So authority must know about actual situation of crowd. In recent years need for crowd size estimation, has arisen to manage the crowd well. It can help in managing crowd before happening of huge event, traffic management, providing security to crowd and in many other areas where to manage crowd, some estimation on crowd size is needed. After reviewing existing applications, it can be concluded that there are many approaches for estimating density of a crowd and to count the individual’s, but most of the available approaches did not estimate both crowd density and crowd count together using single model. To overcome these restrictions, a single model is proposed to estimate crowd count and density in the crowded scenes. Here two models are prepared in four stages that work individually as well as forms steps for combined approach. These models firstly pre-process the crowd images extract features and then classify into different classes. Crowd density model classifies images into several density classes. Firstly, dataset of crowd images is prepared according to the requirement using crowd dataset. These crowd images are then sorted and provided to next models. Combined Crowd density and Count Estimation model classifies images into various densities and count classes.
Stock market prediction using ARIMA-LSTM hybrid
Authors: Pandya Aayushi , Kapoor Vivek , Joshi Apash
Published: June 2024

The nation’s economy greatly depends on the stock market. A healthy stock market can boost the economy, but if not going well, it can also trigger a recession. It is one of the most volatile markets, it is subjected to sudden changes due to variety of factors including interest rates, supply and demand, inflation, political issues, natural disasters, etc. Therefore, accurate stock market forecasting is crucial in order to help stock customers. Many models which have already been worked on for predicting stock prices are using techniques like ARIMA and LSTM. But hybrid models are now being developed for better outcomes. This paper proposes composition of ARIMA and LSTM for stock prediction and compares the results of ARIMA, LSTM and ARIMA-LSTM hybrid. To test the effectiveness of the hybrid model to others, the model is applied to 5 businesses from various industries. For comparison, different errors are taken into account.
Optimization for anti-vibration mount performance analysis
Authors: Hujare Pravin , Kamble Dinesh , Hujare Deepak , Kore Sandeep , Shamkuwar Sonal
Published: June 2024

The only substantial source of vibration and noise is the IC engine itself. Vibration causes system failures or damage, which is bad for the supporting system for the engine. It is necessary to ensure correct mounting in order to prevent engine vibration. Engine Mounting is one of the basic but important design characteristics in a vehicle. The engine mounts are designed with optimum stiffness and damping so as to reduce the system vibration and avoid resonance phenomenon. This paper deals with the two characteristics namely damping coefficient and stiffness of the Anti-Vibration Mounts. The modal analysis and Harmonic analysis of different models of AVM has been performed. From the dynamic analysis the optimized characteristics of AVM are obtained. The model is optimized for minimum acceleration by varying two factors, i.e. stiffness and damping coefficient of AVM. Taguchi method has been used for optimization Vibration response of system using a commercial Minitab software. It is observed that the optimize values of stiffness is 450 N/mm and damping coefficient is 0.03 NS/mm. From Numerical Analysis, it is observed that the vibration response amplitude is decreases by 13.91% by using optimized AVM.
Enhancing the Security of Digital Voting Systems: A Blockchain-Based Decentralized Approach for Future Electronic Voting Systems
Authors: Sree Ganesh M S  , Karthik P Naik  , Deekshith Acharya  , Naresh Maibam  , Dr. Pushparani M K
Published: June 2024

This paper introduces a blockchain-based electronic voting (e-voting) system aimed at improving voter turnout and ensuring robust security. Traditional offline elections often suffer from fairness and accuracy issues due to centralized control, which can lead to vote manipulation. The proposed system leverages blockchain technology to decentralize authority, reduce reliance on a single entity, and enhance transparency. It comprises four stages: setup, registration, voting, and result, each utilizing smart contracts to maintain an immutable record. Key features include secure voter and candidate registration, encrypted vote casting, and transparent result dissemination. By addressing critical security concerns such as vote
uniqueness, mobility, coercion resistance, anonymity, and data integrity, this system offers a reliable and transparent solution for modern elections.
A Universal Symbol of “Love & Romanticism”:The Taj Mahal
Authors: Mr. Prasenjit Ghosh
Published: June 2024

The Taj Mahal is an ivory white marble mausoleum on the south bank of the Yamuna River in the Indian city of Agra. The eternal beauty of the monument lies in its location, architecture and the feeling that went behind its construction. For times immemorial the Taj will stand as a symbol of eternal love. The Taj Mahal in India is a must visit for everyone at least once in a lifetime. It was commissioned in 1631 by the Mughal Emperor, Shah Jahan, to house the tomb of his favorite wife, Mumtaz Mahal. The tomb is the centerpiece of 17-hectare complex, which includes a Mosque and a guest house, and is set in formal gardens bounded on three sides by a crenellated wall. The architectural wonder of the Taj Mahal is a monument of love, purity and beauty that Shah Jahan had built in the loving memory of his beloved wife Mumtaz Mahal. Thus, the Taj Mahal is essentially the mausoleum of the mughal Empress Mumtaz Mahal
An Outline to the Festivals of the Indigenous “Tripuri Community” of Tripura
Authors: Mr. Prasenjit Ghosh
Published: June 2024

Tripura is a small hilly State situated in the north-eastern part of India. During the British rule, the whole geographical area of Tripura was known as Hill Tipperah. It covers an arcs of 10,491 sq. km. and is situated between 22° 5' and 24° 32' north latitudes and 91" 10' and 92°21'cast longitudes. A land-locked State, Tripura shares international border of 832 kms long with Bangladesh's district of Comilla on the west, Sylhet district on the north, Noakhalli and Chittagong Hill Tracts on the south and Chittagong Hill Tracts on the east. With mainland India, Tripura is bounded by the Cachar district of Assam on the north-east and the Mizo hills of Mizoram on the East