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NICHOLAS RENALDO
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Journal of Applied Business and Technology
Published by INSTITUT BISNIS DAN TEKNOLOGI PELITA INDONESIA
ISSN : 27225372     EISSN : 27225380     DOI : https://doi.org/10.35145/jabt
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
JABT (Journal of Applied Business and Technology) is a media for exploration and discussion about Business Management and Technological problems arised in the society. It includes scientific articles in the form of research results, theory application, analytical studies, and literature studies on both areas. JABT also accumulates the literature reviews and critiques in improving theories and researches and offer contributions in delevoping educational methodology in the area of Business Management and Technology.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 8 Documents
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Search results for , issue "Vol. 4 No. 3 (2023): Journal of Applied Business and Technology" : 8 Documents clear
Application of K-Means Algorithm in Clustering Model for Learning Management System Usage Evaluation Muhammad Sholeh; Suraya; Dina Andayati
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.130

Abstract

The use of a learning management system (LMS) is one of the media that can be used to disseminate lecturer materials to students. Materials that can be uploaded on the LMS can be in the form of lecture materials in the form of files, videos, or questions. The effectiveness of LMS can be evaluated by looking at activities in using LMS. The effectiveness of using LMS can be seen from the log. Log results from LMS can be evaluated in various ways and one way is to use data mining clustering models. The clustering model can be used to create student groupings and the clustering results can be labeled in the form of categories, such as very good, good, and bad categories. This labeling depends on the clustering results that will be processed in the modeling. The research method uses CRISP DM which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The beginning of the research process is carried out by taking log data in the Moodle LMS. The clustering model in this research will use the K-Means algorithm and the evaluation of clustering results will be evaluated for performance using the Davies-Bouldin method. Implementation of data mining processing using Rapid Miner application. The datasheet used is a datasheet taken from the LMS log of the Computer Programming course in the Mechanical Engineering study program - AKPRIND Institute of Science & Technology Yogyakarta odd semester of the 2021/2022 and 2022/2023 academic years. The results of the study resulted in the best clustering based on the Davies Bouldin method of 2. The clustering results, cluster 0 consists of 28 data named the category of frequent access to LMS and cluster 1 consists of 54 with the category of not frequent access to LMS.
Development of Virtual Reality Applications - Digital Display for MSME “Tenun Ikat Bandar” Products Fery Sofian Efendi; Toga Aldila Cinderatama; Kunti Eliyen
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.134

Abstract

Covid-19 has dramatically impacted the SME sector since April 2020. The government has taken steps to support SMEs as part of the national economic recovery efforts during the pandemic. However, surveys conducted by institutions like BPS, Bappenas, and the World Bank have shown that SMEs need help with loan repayment and meeting expenses for electricity, gas, and employee salaries. SMEs face the challenges of layoffs, limited access to raw materials and capital, declining customers, and production and distribution constraints. Furthermore, changing consumer behavior, business competition, and activity restrictions require proactive measures from SMEs. To address these challenges, a team has proposed a sustainable solution - virtual outlets. Based on virtual reality technology, these outlets allow SMEs to display and sell their products in a digital environment. Visitors can explore every aspect of the virtual outlets, simulating the experience of visiting physical stores without needing in-person visits. This aligns with the new standard of physical/social distancing. Visitors can conveniently support SMEs through online transactions by leveraging virtual outlets, eliminating the need to visit physical stores.
Marketing Mix on Customer Satisfaction at the Tax Consulting Office Dr. Sudarno, S.Pd., M.M., BKP and Colleagues Pekanbaru Suyono; Dania Ayu Lestari; Ermina Rusilawati; Wan Muhamad Kudri; Nicholas Renaldo
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.135

Abstract

Research is to identify and analyze the effect of the marketing mix on customer satisfaction partially and simultaneously at the tax consultant office of Dr. Sudarno, S.Pd., M.M., BKP and partners Pekanbaru. The research sample was all clients of the tax consultant office of Dr. Sudarno, S.Pd., M.M., BKP and partners in Pekanbaru city as many as 86 clients consisting of 44 corporate income tax and 42 income tax clients. Determination of the sample using the census method or saturated sampling. The data analysis technique used is multiple linear regression with SPSS Windows 19. The independent variables are product, price, place, promotion, people, process, and physical evidence while the dependent variable is customer satisfaction. The results showed that product, promotion, people, process, and physical evidence had a significant positive effect both partially and simultaneously on customer satisfaction. However, the results of the study also show that the price variable has a significant negative effect on customer satisfaction and the location variable has an insignificant negative either partially or simultaneously on customer satisfaction at the tax consultant office Dr. Sudarno, S.Pd., M.M., BKP and colleagues Pekanbaru.
Current Ratio, Firm Size, and Return on Equity on Price Earnings Ratio with Dividend Payout Ratio as a Moderation and Firm Characteristic as Control Variable on the MNC 36 Index Period 2017-2021 Nicholas Renaldo; Dwi Kirtapati Rozalia; Sulaiman Musa; Nabila Wahid; Cecilia
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.136

Abstract

This study aims to determine the effect of the Current Ratio, Company Size, Return on Equity, and Dividend Payout Ratio on the Price Earnings Ratio on the MNC36 index for the 2017-2021 period. The population and samples used in this study were to use the purposive sampling method which was selected based on specific criteria in accordance with the purpose of the study. Thus, the number of samples in this study was 77 companies. This study used secondary data. The analysis method in this study is multiple linear regression analysis using SPSS 22.0 and Smart PLS 4.0 software. The results of the research obtained are that DPR has a positive and significant effect on the Price Earnings Ratio. In contrast, the Current Ratio, Company Size, and Return on Equity do not have a significant effect on the Price Earnings Ratio.
Development of Web-Based Advertisement Media on Sahrul Home Car Care Yohan Bakhtiar; Abidatul Izzah; Toga Aldila Cinderatama; Benni Agung Nugroho; Riswan Eko Wahyu Susanto
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.138

Abstract

Amidst the ongoing Covid-19 pandemic, non-essential activities have shifted mainly to the safety of people's homes. This includes remote work (Work From Home) and shopping for basic needs online. However, service workers, particularly those in the service sector like Muhammad Sahrul, have faced significant challenges navigating the pandemic's impact. Sahrul, who owns an all-brand car repair shop, experienced a decline in customers visiting his workshop due to the outbreak. Recognizing the need for a fresh approach, Sahrul created "Sahrul Home Car Care," offering car repair services at customers' residences. To support this initiative, a team of researchers proposed technology-based solutions to improve his advertising strategy. The researchers developed a user-friendly digital portal, www.sahrulhomecarcare.com, showcasing Sahrul's services and implementing an appointment booking system. Additionally, they guided leveraging digital marketing channels to expand his outreach. Thanks to these digital innovations, Sahrul's business gained traction, attracting more customers and positive feedback. Embracing technology proved instrumental in overcoming the pandemic's challenges and ensuring the continued success of "Sahrul Home Car Care" in this ever-evolving digital era.
The Mediating Role of the Participatory Leadership Style on the Effect of Job Stress on Job Performance Ibraheem Mohammed Abd; Mustafa Mohammed Kleban Zuhairi; Ghaith Hasan Kamil
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.139

Abstract

The aim of the current study is to shed light on the impact of workplace stress on job performance in Iraqi public sector universities through the mediating role of leadership style. Where stresses in the workplace were measured through three types: role conflict, role burden and work conditions, job performance was determined as a dependent variable, the participatory leadership style was tested as a mediating variable for the relationship, the structural equation modeling method was applied to test the study model. A sample of professors of public universities in Iraq-Baghdad was selected, and 120 answers were collected that were valid for analysis. The study concluded that conflicting roles and working conditions are the factors that have an impact on academic performance. In contrast to the workload, which did not have a statistically significant effect on the performance of university professors. As for the mediation role of participatory management, it was contrary to expectations. It was not a contributing factor in reducing the effects of work stresses on the performance of university professors. These results are attributed to the fact that the university work environment affects its leaders and professors and is governed by the instructions and regulations of higher authorities.
Analysis of System Requirements and Architecture for Facilitating Table-Based Data Clustering for Non-Technical Users Yoppy Yunhasnawa; Toga Aldila Cinderatama; Candra Bella Vista
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.140

Abstract

Clustering is one of the key techniques in unsupervised learning analysis, aimed at grouping similar data objects into clusters based on shared characteristics. The broad benefits of clustering are evident across various sectors, such as business, marketing, finance, and many others. However, the complexity of implementing clustering, especially for those without a background in statistics or programming, poses a barrier. The appropriate selection of clustering methods and accurate interpretation of results require a solid understanding of statistics. This research aims to address this issue by crafting a detailed Software Requirements Specification for a user-friendly clustering application, equipped with an intuitive interface and effective tools, based on comprehensive literature study, which finally allowing non-experts to engage in the clustering process without in-depth knowledge of statistics or programming. As such, this study endeavors to provide a practical solution for utilizing clustering without excessive technical impediments.
Analysis of the Application of Transaction Data with Association Techniques using the Apriori Algorithm in Pharmacy Wahyudi Nasutioni; Dodo Zaenal Abidin; Errissya Rasywir
Journal of Applied Business and Technology Vol. 4 No. 3 (2023): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v4i3.141

Abstract

The development of information technology influences the rapid growth in the amount of data collected and stored in large t. Dimas Pharmacy, located at Jl. Segara Kec. Nipah Panjang is one of the public health services that sells various medicines, medical devices, and so on. This study is expected to provide positive benefits for owners of Dimas Nipah Panjang Pharmacy in Providing information about the pattern of medicine purchases made by consumers and Facilitating pharmacy owners to know the available medicine supplies in the warehouse so as not to experience emptiness when needed. Problem Formulation, Literature Study, Data Collection, Calculation and Analysis of Associations with Priori Algorithms, Results Evaluation and Analysis and Report Making. Based on the results of interviews and observations that have been made, the authors obtain data from the Dimas Pharmacy sales transaction. Data held ± 1000 sales transaction data for the period of May and June. But the author only entered 216 sales transactions in May and 141 sales transactions in June. After knowing the method of data selection, the authors conducted data selection by taking 6 items of significant data specifications in certain contexts, namely Anti Serotonin / Allergy, Antacid / Ulcer, Antibiotics, Antipyretics, Inflammation, Hypertension Each of these items had different brands. From these results it can be explained that the sales transaction of the Dimas Pharmacy in May and June generates or generates relationships between shopping product items. With the calculation of the Apriori Association Algorithm, a Market Basket Analysis relationship was found between Medicinal Pronicy and Dexa items. With the Rule "IF Buy Pronicy, THEN Buy Dexa". The rule is generated from the highest support and confident values of the overall support and confident items. The highest support value is 0.15 and the highest confident value is 0.5 ".

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