International Journal of Science, Technology & Management

The Role of Virtualization Technology to Increase Operational Cost Efficiency of Indonesian SMEs: Case Study of Internet Service Providers

2024-10-28T11:10:43+00:00

This research investigates the role of virtualization technology in enhancing operational cost efficiency for Indonesian Small and Medium-sized Enterprises (SMEs), specifically Internet Service Providers (ISPs). A quantitative approach, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) version 2.0, was employed to analyze data collected from 68 respondents representing 216 Indonesian SME ISPs. The study focused on the relationship between virtualization technology planning, adaptation capability, server consolidation services, and operational cost effectiveness. The findings demonstrate that adaptability to virtualization technology is the most significant factor influencing operational cost efficiency. Effective implementation requires careful planning and a proactive approach to adapting to the technology's demands. Server consolidation services play a crucial role in optimizing resource utilization and reducing costs while virtualization technology offers substantial benefits, SMEs should carefully assess their specific needs and resources before implementation. Factors such as infrastructure, skills, and business objectives should be evaluated to ensure successful adoption and maximize cost savings. This research provides a foundation for further exploration into the impact of virtualization technology on SMEs. Future studies could investigate the applicability of these findings in different contexts, such as other industry sectors or regions. Additionally, examining the long-term effects of virtualization technology adoption and the potential for scalability could offer valuable insights. Further research could also focus on the challenges and opportunities associated with virtualization technology adoption in SMEs with varying sizes and resources.

The Effect Addition of Soil Amandments and PGPR (Plant Growth Promoting Rhizobacteria) on the Growth and Yield of Cotton Plants Intercropped with Corn Plants in Dry Land of North Lombok Regency of Indonesia

2024-10-28T11:10:25+00:00

This research investigates the effect of soil amendments in the form of cow, form goat manures and PGPR biofertilizer on cotton plants intercropped with corn in the dry lands of North Lombok Regency. The research aims is to determine the growth and yield response of cotton plants due to the application of soil amendments and PGPR in an intercropped system with corn in dryland areas. The research was conducted from December 2023 to June 2024 in Andalan Village, Bayan District, North Lombok Regency. The method used is an experimental method with field trials. The design used was Randomized Block Design (RBD), incorporating two factors: soil amendment treatment (P) as the main plot and PGPR (K) concentration treatments as the subplot. Soil amendments consisted of three levels: P0 (no cow manure and no goat manure), P1 (20 tons/ha cow manure), P2 (20 tons/ha goat manure). PGPR concentration consisted of four levels: K0 (without PGPR), K1 (20 ml/liter PGPR application), K2 (30 ml/liter PGPR application), and K3 (40 ml/liter PGPR application). The research results indicated that the application of 20 tons/ha of goat manure (P2) produced the highest average across all observed parameters (plant height, number of leaves, branch number, stem diameter, and plant yield). Similarly, the application of 40 ml/liter PGPR produced the highest average for these observed parameters. Based on the results of the land equivalent ratio (LER) analysis, this integration system shows highly suitable and relevant to be applied in the dry lands of North Lombok.

The Influence Of Capital Adequacy Ratio (CAR), Non-Performing Loan (NPL), Loan To Deposit Ratio (LDR), And Operational Costs To Operating Income (BOPO) On Return On Asset (ROA) In Banks Listed On The Indonesia Stock Exchange

2024-10-28T11:11:34+00:00

The objective of this research is to determine the effect of the Capital Adequacy Ratio (CAR), Non-Performing Loan (NPL), Loan to Deposit Ratio (LDR), and Operational Costs to Operating Income (BOPO) on Return on Assets (ROA) in banks listed on the Indonesia Stock Exchange. The sample was selected using purposive sampling, with a total of 32 banks. The research data were tested using multiple regression analysis. The results of the study show that the Capital Adequacy Ratio (CAR) has no effect on Return on Assets (ROA), while Non-Performing Loan (NPL), Loan to Deposit Ratio (LDR), and Operational Costs to Operating Income (BOPO) have a negative and significant effect on Return on Assets (ROA).

Design Of A Budget Processing Information System At Sat Reskrim Of Polres Labuhanbatu Web Based

2024-10-28T11:10:09+00:00

Capital expenditures carried out by regional governments produce infrastructure in an area both for providing basic services to the community and to encourage regional governments to provide potential sources of local revenue. The Financial Report of the National Police of the Republic of Indonesia consists of a budget realization report, balance sheet, operational report, report on changes in equity and notes on the financial report as attached, which is the responsibility of the National Police which has been prepared based on an adequate internal control system. The aim of this research is to be able to design an information system for processing budget data to unit of Sat Reskrim the Polres Labuhanbatu is web-based so that it can help operational work, especially in processing financial data, to be more effective and efficient

Comparison of Machine Learning Algorithms in Public Sentiment Analysis of TAPERA Policy

2024-10-28T11:09:52+00:00

The rapid development of information technology has changed the way people interact and express their opinions on public policies, including the People's Housing Savings (Tapera) policy in Indonesia. People now primarily express their views openly on social media platforms like Twitter, generating a substantial amount of text data for analysis to understand public sentiment. However, the main challenge in this sentiment analysis is determining the most effective machine learning algorithm for classifying public opinion with high accuracy. This study aims to compare the performance of three machine learning algorithms, namely Naïve Bayes, Support Vector Machine, and Random Forest, in analyzing public sentiment towards the Tapera policy. This study analyzes public comment data obtained from Twitter. We measure the accuracy of each algorithm to determine its optimal performance in sentiment classification. The research method consists of several stages, starting with data collection, text preprocessing to clean and prepare data, and then applying the three algorithms to analyze sentiment. The results showed that Naïve Bayes had the highest accuracy of 69.17%, followed by Support Vector Machine with an accuracy of 68.42%, and Random Forest with an accuracy of 66.17%. This shows that Naïve Bayes is the most effective algorithm to use in sentiment analysis of public comments related to the Tapera policy, especially in the context of complex text data from social media. The conclusion of this study is that Naïve Bayes is superior in classifying public sentiment towards the Tapera policy compared to Support Vector Machine and Random Forest. As a result, this study makes a significant contribution to selecting the most appropriate machine learning algorithm for public sentiment analysis towards public policy, which in turn can help the government understand and respond to public perceptions more effectively.

The Influence of Workload and Work Environment on the Turnover Intention of Employees in PT. XYZ

2024-10-28T11:09:34+00:00

This research aims to investigate the impact of workload and work environment on employee turnover intention at PT. XYZ. High turnover intentions can disrupt workforce stability and result in significant costs for the company. Two factors often associated with turnover intention are workload and work environment. Excessive workload can cause stress and fatigue, while an unsupportive work environment can reduce employee satisfaction and commitment. The study uses a quantitative approach, distributing questionnaires to 107 employees and sampling using the saturated sample method. Data analysis was conducted using SEM-PLS software. The hypothesis test tested the influence of workload and work environment on employee turnover intention. The results showed that workload variable (X1) is in the high category, work environment variable (X2) is in the bad category, and turnover intention (Y) is in the medium category. Quantitative data analysis with SEM-PLS showed that workload variables do not have a significant influence on turnover intention, while work environment variables have a significant influence. The research aims to evaluate company management's attention to workload and work environment conditions, with one variable showing a significant positive influence on employee turnover intention

The Effect of E-WOM on Social Media Marketing on Purchase Intention (Case Study: Gallery Vinna)

2024-10-28T11:09:18+00:00

This study aims to determine the effect of social media marketing through online word of mouth on purchase intention on the Tiktok Gallery Vinna platform as the object of research. The research method used is quantitative method, using an online survey by collecting 155 respondents. The data collected was analyzed with Smart PLS software to test the research hypothesis. The results showed that respondents' responses to Tiktok Gallery Vinna's social media received a good response, and respondents felt that the uploaded content could provide interesting and easy-to-understand information. Then, e-WOM has a significant effect on buying interest, and social media has the most influence on buying interest. The results also show that providing the latest information by utilizing social media can expand the network to attract buying interest in consumers. Therefore, this study examines the Tiktok platform which expands knowledge about the factors that influence attitudes and purchase intentions towards consumers through e-WOM, as well as the use of social media that have an impact on consumer purchase intentions. This research provides insight for SMEs who want to improve marketing strategies using social media.

Factors Analysis Of Digital Transformation Challenges In Alfamart Company

2024-10-28T11:09:01+00:00

Technological advancements occur continuously without our notice, requiring us to adapt to them in all aspects of life. Most firms now recognize the importance of digital transformation as a strategy for improving services and business efficiency. Alfamart, a minimarket company in Indonesia's retail industry, is facing a technological transformation. Alfamart offers a range of product categories to accommodate diverse family requirements. The acceleration of digital transformation in Indonesia necessitates the application of digital technology as a digital platform that serves as the foundation for the Industry 4.0 ecosystem by including technologies such as IoT, big data, artificial intelligence, and augmented reality. This study uses quantitative and descriptive approaches to identify the characteristics that challenge digital transformation at PT Sumber Alfaria Trijaya, Tbk (Alfamart), particularly in the International Business & Technology division. The research employs two-factor analyses: CFA (Confirmatory Factor Analysis) and EFA (Exploratory Factor Analysis). According to the research results, 4 (four) factors influencing Alfamart's digital transformation, particularly in the International Business & Technology section, shape the company's digital transformation issues. These challenges include IT, digitalization, digital business, and digital skills.

Comparative Analysis of K-Nearest Neighbors and Decision Tree Methods in Determining Students’ Purchase Interest in MacBook Laptops

2024-10-28T11:08:44+00:00

In the context of increasingly competitive technology markets, companies need to know consumer preferences accurately to optimize product offerings and increase sales. Two classification methods that are often used in data mining, namely K-Nearest Neighbors and Decision Tree, have their own advantages and disadvantages. This study proposes a solution that involves processing student data using both classification methods to identify the most accurate and effective method for identifying purchase intentions. This study aims to compare the performance of the two methods in determining student purchase intentions for MacBook laptops. The research methodology includes collecting data from 100 students covering various factors such as user experience, design and portability, technical specifications, price, and security. This data is then classified using the K-Nearest Neighbors and Decision Tree methods. Furthermore, a confusion matrix is used to provide a more detailed picture of the performance of the two methods. The results of the study show that the Decision Tree method has a higher accuracy (91%) compared to K-Nearest Neighbors (88%). In addition, Decision Tree excels in other metrics such as precision (87.18% vs. 85.71%), recall (89.47% vs. 85.71%), specificity (91.94% vs. 89.66%), and F1-Score (88.31% vs. 85.71%). The decision tree also has a higher NPV value and lower FPR and FNR rates than K-Nearest Neighbors, indicating that it is superior in avoiding misclassification. The study's conclusion is that the Decision Tree method is more effective and accurate than K-Nearest Neighbors in determining students' purchase intentions for MacBook laptops. The decision tree shows better performance in almost all evaluation metrics, making it a more reliable method to use in consumer data analysis. The results of this study are expected to help companies choose a more appropriate and effective analysis method for their marketing strategies, as well as provide a basis for further research in the field of consumer purchase intention classification.

The Internal and External Factors in Prevention of Procurement Fraud in Goods and Services Based on E-Procurement

2024-10-28T11:08:27+00:00

The process of goods and services procurement within the government environment still has vulnerabilities to fraud, which necessitates proper handling. This study aims to identify the factors that can influence efforts to prevent fraud in the procurement of goods and services using an e-procurement system. The data for this research was obtained through the distribution of questionnaires to employees at the Procurement Services Unit (ULP) and the Regional Financial and Asset Management Agency (BPKAD) Office of Dompu Regency. The sampling method used in this study is purposive sampling. Furthermore, the research data were tested using multiple regression analysis. This study demonstrates that the variables of technology utilization, e-procurement, internal control systems, organizational culture, employee ethics, and religiosity can influence the prevention of fraud in the procurement of goods and services. The research findings can serve as a reference for evaluating the use of information technology through e-procurement and the application of internal control systems for optimal results. Additionally, it is important to consider human resources, specifically employees, in maintaining organizational culture, good ethics, and religious values as a foundation for actions in the workplace to avoid various deviant or unlawful behaviors.

The Influence of Safety Leadership and Working Condition on Safety Behavior: A Systematic Literature Review

2024-10-27T11:08:59+00:00

This systematic literature review aims to evaluate the influence of safety leadership dan working condition on safety behavior. The methodology involved a comprehensive search and selection of peer-reviewed articles published between 2017 and 2023. This research succeeded in reviewing 14 studies originating from 10 different countries and having topics related to safety leadership, working conditions and safety behavior. The results also indicate that safety leadership and working condition have a significant influence on safety behavior, both directly and indirectly. The review also highlights the critical role of organizational support in mitigating work accident rate. The study concludes that addressing safety behavior through strategic interventions and leadership development to enhance safety leadership and working condition related program can prevent work accident. By recognizing and addressing these issues, it is hoped that management will gain a better and more comprehensive understanding of issues related to safety behavior to give organizational support in order to correctly determine safety programs.

Development Of Strategy Map And Measuring Corporate Performance With Sustainability Balanced Scorecard Approach (Case Study On Renewable Energy Consultant Services Company Pt Xyz)

2024-10-27T11:08:42+00:00

This study aims to develop a Strategy Map of PT XYZ based on the company's vision, mission, strategic goals and analyze the company's performance as measured using the Sustainability Balanced Scorecard (SBSC) method. The research method used is qualitative, which involves conducting in-depth interviews and analyzing company documents. According to the research results, the PT XYZ Strategy Map consists of a vision, mission, 17 company strategic goals and 34 measurement indicators. The company performance of PT XYZ in 2021 and 2022, measured by the 5 SBSC perspectives can be indicated as sufficient performance, which obtained a total scorecard of 0. Based on 34 measurement indicators, 13 obtained a good assessment, 13 obtained a poor assessment, 3 obtained a sufficient assessment, and 5 could not be calculated because the company did not have related numerical documents. In the future, PT XYZ needs to increase its efforts to improve company performance and improve company data management so that it is easier to identify the company's achievements or performance to a measurable extent. Further, PT XYZ needs to integrate sustainability goals that become the company's vision into the company's business strategy, one of which is using SBSC as a company performance measurement tool. In addition, PT XYZ needs to integrate its vision of contributing to sustainability development into the company's business strategy, one of which is the use of SBSC as a corporate performance measurement tool.

Fostering Excellence in Madrasah through Collaborative Supervision: A Management Perspective

2024-10-27T11:08:25+00:00

This research is motivated by the lack of collaborative guidance among some members of the madrasah and the supervisor, which hinders the improvement of the quality of a madrasah institution. Therefore, it is necessary to establish collaboration or synergy among the head of the madrasah, the madrasah committee, several teachers, and the supervisor in advancing the quality of the madrasah. This research employs a qualitative approach with a multi-site study design. Data collection techniques include in-depth interviews, participant observation, and documentation. Data analysis uses single-case analysis and cross-case analysis. Data validity techniques involve credibility, transferability, dependability, and confirmability.The research findings indicate that: (1) the collaboration between supervisors and heads of madrasahs in formulating plans (planning) to improve the quality of the institution includes: a) formulating and developing the vision, mission, and goals of the madrasah; b) preparing the Mid-Term Work Plan (RKJM), the Madrasah Work and Budget Plan (RKAM), and the Annual Work Plan (RKT); c) conducting workshops and training for teachers and institutional staff; d) developing madrasah management systems and information technology and PBM (Self-Learning Platform); and e) preparing KTSP/Merdeka curriculum; (2) the collaboration between supervisors and heads of madrasahs in implementing the process (actuating) to improve the quality of the institution involves: a) organizing guidance, workshops, and training for madrasah teachers; b) providing support and guidance for all programs within the institution; c) developing a madrasah curriculum tailored to the institution's situation and conditions; d) producing works/products or learning journals, and developing an excellent KTSP madrasah curriculum.

The Impact of Leadership, Work Motivation and Work Environment on Employee Performance at XYZ Resto

2024-10-26T11:08:11+00:00

This study aims to analyze leadership, work motivation, work environment and employee performance at XYZ Resto; to analyze the influence of leadership, work motivation and employee work environment on employee performance. This study uses quantitative methods with a descriptive and verification approach. Data collection techniques are carried out by distributing questionnaires, which must be tested for validity and reliability. The population in this study were employees at all XYZ Resto branches, totaling 250 people, where the sample was taken as much as 40% to 100 people. This study uses path analysis as a data analysis tool. The hypothesis is that leadership, work motivation and work environment have a significant effect on employee performance at XYZ Resto. Based on the research findings, it was found that the influence of the three variables of Leadership, Motivation and Work Environment simultaneously on the Employee Performance variable is 62.5%. While 37.5% is influenced by other variables outside those studied.

Study On The Implementation Of Accreditation Status And Regional Public Service Agencies As A Strategic Model For Improving The Management Of Community Health Centers (Puskesmas)

2024-10-21T02:23:00+00:00

Indonesia still has public health centre (Puskesmas) health care issues. The data from Bengkulu is comparable to those from the national level. It shows that Puskesmas has not maximised gatekeeping. We need responsible Puskesmas management and high-quality, sustainable health care to address these problems. Pushesmas' accreditation and Regional Public Service Agency status help the government improve Puskesmas administration. We need a synchronization model because we implement accreditation and BLUD separately. Given the current situation, this study explores potential synchronization strategies between accreditation and BLUD to enhance Puskesmas management. The study describes the condition of accredited and BLUD Puskesmas, identifies the problems, investigates the role capabilities of the parties involved, seeks to synchronise Puskesmas management, and formulates a strategy to improve management. This qualitative descriptive research uses a case study approach with purposive sampling to examine Puskesmas, an accredited and BLUD school in Bengkulu Province. Researchers conduct in-depth interviews, observations, library studies, and documentation. Researchers analyse data through collection, reduction, presentation, and verification or conclusion. They also triangulate data, sources, and procedures for data validity analysis. This research created a Puskesmas Management Improvement Strategy Model as a Novelty

Analysis Of Bankruptcy Prediction Using Springate, Zmijewski, Grover. And Altman Z-Score Models On Retail Companies Listed On The Indonesia Stock Exchange

2024-10-25T11:08:10+00:00

The retail sector plays a significant role and contributes greatly to the national economy. The slowdown in domestic economic growth and decreased consumer purchasing power have significantly impacted the retail business in Indonesia. This is evident from the high number of retail companies declared bankrupt and many large retail companies closing their stores. The aim of this study is to assess the health level of retail companies, determine the differences in scores among the research models, and evaluate the accuracy of the Springate, Zmijewski, Grover, and Altman models. This research is a quantitative study with a descriptive approach. The research objects are retail companies listed on the Indonesia Stock Exchange during the period 2019-2021. Sampling technique used is purposive sampling. The results of this study indicate that the highest accuracy level is achieved by the Grover model with an accuracy of 77.7%, followed by the Zmijewski model with an accuracy level of 72.2%. Meanwhile, the Springate and Altman models have the same accuracy level of 66.6%.

Utilization Of Digital Platforms In Realizing SDG 8.3 Entrepreneurship In Msmes With The 9F Model Approach: A Study On The Hijab Fashion Business In Sidoarjo District, East Java.

2024-10-28T11:11:18+00:00

The utilization of digital platforms has become a key strategy to increase the competitiveness of MSMEs in Indonesia, particularly in the hijab fashion sector. This study aims to analyze the impact of digital platforms and the implementation of the 9F Entrepreneurship Model on MSMEs in Sidoarjo District, as well as its contribution to achieving Sustainable Development Goal (SDG) 8.3, which focuses on promoting economic productivity and entrepreneurship. This qualitative research employs a case study method involving five MSMEs in the hijab fashion industry, selected through purposive sampling. Data were collected through in-depth interviews and direct observations of business owners. The findings indicate that integrating digital platforms such as Instagram, WhatsApp, Facebook, Shopee, and TikTok with the 9F model significantly enhances innovation, visibility, and flexibility in MSMEs’ responses to market changes. Among the 169 MSMEs in the fashion sector in Sidoarjo, 26 focus on hijab fashion, with five MSMEs participating in this research. These MSMEs reported improvements in market reach and operational efficiency through digital platforms. Additionally, the integration of digital strategies supports economic growth aligned with SDG 8.3. This approach shows that the combination of digital platforms and the 9F Entrepreneurship Model can be an essential strategy for developing MSMEs in the hijab fashion sector, contributing to local economic growth and government efforts to achieve SDG 8.3.

Analysis of Public Interest in Smartfren SIM Cards using the K-Nearest Neighbors Method

2024-10-23T11:05:19+00:00

The use of Smartfren SIM cards is increasing along with the public's need for fast and stable internet services. However, a deep understanding of public interest in the SIM card is necessary to optimize marketing strategies and increase sales. Proper analysis can help companies identify potential target markets and develop effective marketing strategies. We chose the K-Nearest Neighbors method to analyze public interest in using Smartfren SIM cards. This study aims to develop and evaluate the K-Nearest Neighbors model in predicting public interest in using Smartfren SIM cards. This study uses a dataset containing information about Smartfren SIM card users. We divide the data into two sets: a training set for model building and a test set for evaluating model performance. We apply the K-Nearest Neighbors method to classify the data into two categories: interested and not interested. We evaluate the model performance using accuracy, precision, recall, and F1-score metrics. We present the evaluation results as a confusion matrix. The developed K-Nearest Neighbors model showed excellent performance with an accuracy of 94.29%, a precision of 94.20%, a recall of 100%, and an F1-score of 97.01%. These results indicate that the K-Nearest Neighbors model is effective in predicting people's interest in Smartfren SIM cards. The high recall value indicates that the model is able to identify all interested individuals without missing any, while the high precision value indicates that the model rarely makes false positive prediction errors. This study concludes that the K-Nearest Neighbors method is very effective for use in analyzing people's interest in using Smartfren SIM cards. We can rely on the developed model's strong performance for real-world applications in marketing strategies.

Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method

2024-10-25T11:07:37+00:00

The Faculty of Science and Technology at Labuhanbatu University is one of the leading faculties that focuses on the development of science and technology. This faculty offers various study programs designed to prepare students to face the challenges of the digital era and industrial revolution 4.0. This research, using survey and interview methods, aims to collect accurate and objective data regarding student perceptions and experiences in various aspects, such as the quality of educational services, quality of teaching, and available supporting facilities such as extracurricular activities, seminars and research projects, ease of access. information and academic support from optimal staff and teaching staff.

The Impact of a Merger on Changes in Organizational Culture: A Systematic Literature Review

2024-10-24T11:05:56+00:00

This systematic literature review aims to assess the impact of changes in organizational culture within companies undergoing mergers. The methodology involved an extensive search and selection of peer-reviewed articles published between 2017 and 2023. The research process included gathering information through detailed interviews with employees directly involved in the merger process and analyzing company documents. The study identifies several effects of changes in organizational culture during mergers, such as feelings of uncertainty, concerns about losing corporate identity, and challenges in integrating different cultures. However, it also indicates that mergers can create synergy and long-term benefits if the new organizational culture is successfully integrated. Through empirical analysis, this research uncovers the characteristics, values, and norms that define post-merger organizational culture. It contributes not only to the academic understanding of organizational behavior and change but also offers valuable insights for practitioners in the telecommunications industry who face the complexities of post-merger integration.

Synergisticity Of District National Zakat Amil Agency, Zakat Amil Institution And Pati Regional Government In Zakat Management

2024-10-24T11:05:42+00:00

This research is motivated by the phenomenon of the existence of two groups managing zakat (government and society) making up two large parts of the field of zakat management in Indonesia. The government and its institutions are used as the main focus of zakat collection targets by the National Zakat Amil Agency (BAZNAS) while the general public and private companies are more targeted objects for zakat collectors by the National Zakat Amil Institute (LAZNAS). In terms of legal regulations, the implementation of zakat in Indonesia shows cooperation between BAZNAS and the government to collect zakat funds from government employees to all institutions. However, in reality the results of collecting zakat, infaq and alms are still far below the existing potential, so there is still a need for synergy in various fields for the two groups of zakat managers. The aim of this research is to find out how there is communication synergy, coordination synergy and innovation synergy between the Pati National Amil Zakat Agency, the Amil Zakat Institute and the Regional Government of Pati Regency in managing zakat. This type of research uses qualitative research methods with the researcher as the key instrument in recording and collecting data through interviews, observing, collecting documents from zakat collection institutions and the Pati district government. Meanwhile, data analysis was carried out using an interactive analysis model. The results of this research conclude that 1. The form of communication synergy between the National Amil Zakat Agency of Pati, the Amil Zakat Institute of the Ministry of Religion of Pati and the Regional Government of Pati Regency is carried out formally by invitation or coming directly to the institution, or communicating using a digital platform by prioritizing the context of mutual brotherhood. need in managing zakat. The messages conveyed in the communication process are of high quality because the language is communicative, the message content is needs-oriented and delivered in a friendly manner. Feedback from communication shows support, openness and sincerity as well as high enthusiasm and commitment. 2). The form of coordination synergy is coordination synergy in planning, potential, cooperation in zakat education, distribution, joint program synergy and synergy in reporting. The mechanisms for coordination synergy include goal setting, stakeholder identification, payroll collection. Coordination synergy in monitoring and evaluation by sharia auditors or public accountants. 3). Synergy of innovation is carried out in Strengthening Zakat Regulations including the issuance of Regent's regulations on zakat, the issuance of regional regulations on zakat, b. Institutional strengthening includes the development of new UPZs, collaborative data analysis with religious instructors, routine quarterly coordination with fellow zakat managers, c. Program synergy, including zakat education with socialization and guidance of UPZ, distribution of zakat other than ashnaf 8, distribution of zakat for disaster response

Prediction Of Freshwater Fish Pond Water Quality Levels Using The Backpropagation Method Based On The Internet Of Things (IoT)

2024-10-28T11:11:01+00:00

The present study reports the first comprehensive study on the freshwater macroinvertebrates and its habitat preferences in Bilah River, the largest riverin the Northern Sumatra. The riverside is characterized by the presence of anthropogenic and industrial activities which may alter the macroinvertebrate assemblage and biodiversity. Five months of investigation on 10 sampling stations from December 2016 to October 2017 was conducted based on the river flow in Bilah River. Principal component analysis indicated a decrease in trophic status from upstream to downstream of the river. A total of 27 taxa were recorded, with the most abundant group were members of Odonata, Gastropoda, and Decapoda. The highest density of macroinvertebrate was observed from station 1 (160 ind m-2), while the lowest density was observed from station 9 (38.64 ind m^-2). Based on species distribution and similarity, two groups of habitats may be distinctively recognized based on the Bray-curtis similarity coefficient. Group 1 consisted of station 1, 2, 3 and 4 while group 2 consisted of station 5, 6, 7, 8, 9, and 10. Based on the diversity indices as ecological parameters, the habitat condition in Bilah River is categorized from low to moderately polluted. Spatial patterns in both environmental conditions affecting the macroinvertebrate assemblage was observed using canonical correspondence analysis (CCA) revealed the preferences from each macroinvertebrate species towards environmental conditions.

Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application

2024-10-23T11:05:53+00:00

My TelU Mobile is a learning support application released by Telkom University on May 25, 2021. This application can be downloaded on the Play Store and App Store and has become a super app that has quite a high number of downloads. However, its user traffic is not yet stable, as seen in the decreasing usage traffic during the lecture period. The purpose of this study was to determine the factors that influence the acceptance and use of the My TelU Mobile application using an integration of the UTAUT-2 and Delone & McLean models. This study uses a quantitative method with descriptive and causal research types. The sampling technique uses a non-probability sampling technique of the purposive sampling type with a sample size of 400 respondents. The data analysis technique uses descriptive analysis and PLS. The findings of this study are that effort expectancy, information quality, service quality, user satisfaction have a significant effect on continue use intention and system quality, information quality, service quality have a significant effect on user satisfaction. However, performance expectancy, social influence, facilitating condition, habit, hedonic motivation, and system quality do not have a significant effect on continue use intention of My TelU Mobile application.

Implementation of K-Nearest Neighbors Algorithm in Analyzing Public Interest in Shoping at Supermarkets

2024-10-23T11:05:36+00:00

People's shopping patterns and behaviors continue to develop along with technological advances and lifestyle changes, thus requiring retail business actors, especially supermarkets, to better understand their customers' interests and preferences. In this context, accurate analysis of customer shopping interests is very important to improve customer satisfaction and optimize marketing strategies. One solution that can be implemented to analyze people's shopping interests is the application of the K-Nearest Neighbors algorithm, a simple yet effective nearest neighbor-based classification method for recognizing patterns from existing data. This study aims to apply the K-Nearest Neighbors algorithm to classify people's interest in shopping at supermarkets. This study also evaluates the effectiveness and performance of the algorithm in the context of business decision-making in the retail sector. The research methodology includes collecting data on people's shopping interests, data pre-processing, implementing the K-Nearest Neighbors algorithm, and evaluating model performance using evaluation metrics such as accuracy, precision, recall, and F1-score. The results of this study indicate that the K-Nearest Neighbors algorithm is able to achieve an accuracy of 88%, with precision, recall, and F1-score all reaching 92.86%. These results indicate that the K-Nearest Neighbors model is very effective in classifying people's shopping interests, with a low error rate. The resulting confusion matrix also shows the model's ability to identify customers who are interested in shopping with little prediction error. This study concludes that we can rely on the K-Nearest Neighbors algorithm to analyze people's shopping interests in supermarkets. This model not only shows good performance in classification but also has great potential to be implemented in recommendation systems and customer segmentation in the real world. This study contributes to the development of consumer behavior analysis methods in the retail sector, as well as providing a basis for further research to explore other algorithms or combinations of techniques to improve the accuracy and effectiveness of classification models.

Analysis Of Public Interest In Smartfren SIM Cards Using The K-Nearest Neighbors Method

2024-10-25T11:07:51+00:00

The Influence of Digital Literacy and Relative Advantage on E-Commerce Adoption through Digital Training and Mentoring among MSMEs in Jakarta

2024-10-21T11:04:49+00:00

The Micro, Small and Medium Enterprises (MSME) sector has an important role in driving the country's economic development. In order for MSMEs to remain competitive with the growth of digital technology, they must be able to adapt to digitalization. Utilizing an e-commerce platform can provide information about which products are selling best and which products are not selling well. This data can be used to make decisions about inventory management, marketing, and more. Only 13% of MSMEs that utilize technology use e-commerce. The adoption of digital e-commerce technology among MSMEs in Jakarta is still uneven. This research aims to determine the influence of digital literacy and relative benefits on the adoption of digital e-commerce technology for MSMEs in Jakarta with digital training and mentoring as mediating variables. This research method is causal quantitative by collecting data using an online questionnaire to 399 respondents. The analysis technique used in this research is Sem with the help of the Smart-PLS program. The research results show that digital literacy and relative benefits influence digital training and mentoring, but not the adoption of e-commerce platform technology. Meanwhile, digital training and mentoring influences the adoption of e-commerce platform technology. The mediation results show that digital training and mentoring play a full mediating role in the relationship between digital literacy and the relative benefits of adopting e-commerce platform technology.

Does Corporate Social Responsibility Moderate the Effect of Information Asymmetry and Earnings Management on Cost of Equity Capital?

2024-10-24T11:05:29+00:00

This study explores the relationship between information asymmetry, earnings management, Corporate Social Responsibility (CSR), and cost of equity capital (CEC). The results show that information asymmetry has a significant influence on CEC, which indicates that information uncertainty can increase the cost of equity capital of a company. On the other hand, earnings management practices have not been shown to have an effect on CECs, reflecting that investors may be more focused on long-term performance than short-term financial statement manipulation. In addition, CSR cannot moderate the influence of information asymmetry on CEC or the influence of earnings management on CEC.

Designing and Developing a Mobile Academic Platform for University

2024-10-28T11:11:51+00:00

Academic consultation is a consultation activity between academic supervisors and students in the study and helps solve problems that accept students. The goal is that students who can complete their studies according to their interests and abilities. The implementation of academic consultation is regulated by each study program / faculty / university. The current academic guidance process at Multimedia Nusantara University does not control the students being guided. In addition, the current process of distributing student assistance is done manually by the head and vice of the study program. They divide the average number of students by the number of lecturers. With the random number algorithm, pseudo random number generator will help the division of students with automatic divide. The pseudo random number generator algorithm was chosen because it has the advantage of providing initial value of the process that is produced quickly, simply and saves storage. The design of this online academic consultation application will assist in the academic monitoring process anytime and anywhere. This application developed using flutter and can be use by students and supervisor. The result from this research was application successfully developed and received a score of 88 % for UEQ Questionare, which is categorized as excellent.

Narrowband IoT in Livestock Farming: A Technological Innovation for Productivity and Sustainability

2024-10-28T11:12:09+00:00

The integration of technology in livestock farming is crucial for enhancing production efficiency and animal welfare. This study aimed to develop and evaluate the implementation of a Narrowband IoT (NB-IoT)-based automated monitoring system in poultry farming. Using an experimental design, the research involved 30,000 day-old chicks at PT. Anugerah Teknologi Ternak in Central Java, Indonesia. The NB-IoT system collected real-time data on environmental parameters and poultry activity. Time-series analysis revealed non-stationary data, while correlation analysis showed a strong negative relationship between temperature and humidity (r = -0.8521). Anomaly detection identified 13.33% of observations as anomalous, demonstrating the system's capability for early issue detection. Regression modeling (R-squared = 0.7261) indicated that temperature and humidity significantly influence poultry productivity. The study concludes that NB-IoT implementation in poultry farming has significant potential for enhancing productivity through real-time monitoring and early anomaly detection, supporting more efficient and sustainable precision farming practices. However, limitations in data stationarity and sample generalizability suggest the need for further research to improve long-term predictions and broaden applicability across diverse farming contexts.