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Arman Harahap
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International Journal Of Science, Technology & Management (IJSTM)
Published by CV. Inara
ISSN : -     EISSN : 27224015     DOI : doi.org/10.46729
Core Subject : Science, Education, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
International Journal of Science, Technology & Management (IJSTM) is an international scholarly refereed research journal which aims to promote the theory and practice of science, technology, innovation, engineering and management.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 974 Documents
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Fostering Excellence in Madrasah through Collaborative Supervision: A Management Perspective Misbah, Misbah; Abd. Aziz, Abd. Aziz; Sokip, Sokip; Kojin, Kojin
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1173

Abstract

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.
Analysis Of Public Interest In Smartfren SIM Cards Using The K-Nearest Neighbors Method Tawanta Natalia Sembiring, Sri; Sihombing, Volvo; Irmayani, Deci
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1177

Abstract

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 Martua , Rifki Agus; Irmayani , Deci; Yanris, Gomal Juni
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1178

Abstract

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 Foelyati, Rika; Dudija, Nidya
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1179

Abstract

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 Mu’arif, Samsul; Akhyak, Akhyak; Nurrahman, Dede
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1180

Abstract

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
Does Corporate Social Responsibility Moderate the Effect of Information Asymmetry and Earnings Management on Cost of Equity Capital? Urna Fasihat, Dian; Iskandar, Rizkiana
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1181

Abstract

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.
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 Darmawan, Singgih; Rina Djunita Pasaribu, Rina Djunita
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1182

Abstract

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 Siti Kholijah, Siti Kholijah; Sihombing, Volvo; Irmayani , Deci
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1183

Abstract

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 Shoalihin, Shoalihin; Suhaety, Yeye; Lestari, Atun
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1184

Abstract

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.
The Influence of Digital Literacy and Relative Advantage on E-Commerce Adoption through Digital Training and Mentoring among MSMEs in Jakarta Sun Lilya, Sun Lilya; Pasaribu, Rina Djunita
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1185

Abstract

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.

Page 83 of 98 | Total Record : 974

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