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INDONESIA
Articles 1,077 Documents
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.
Determinants Of Stock Liquidity During COVID-19: Evidence From Indonesian Listed Firms Gushendri, Adzra Helga Engrasia; Yunita, Irni
International Journal of Science, Technology & Management Vol. 5 No. 6 (2024): November 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i6.1186

Abstract

The COVID-19 pandemic has heightened awareness among Indonesian citizens regarding the significance of investing. The increased market capitalization of the IHSG has contributed to enhanced stock liquidity during this period. Prospective investors assess both internal and external factors of companies to make informed investment decisions, aligning their capital allocation with the perceived potential of the target firms. The objective of this research is to empirically analyze the determinants of stock liquidity, including firm size, profitability, leverage, firm growth, inflation, and dividend policy, focusing on non-financial companies listed in Indonesia during the COVID-19 period. The empirical results indicate a negative and significant relationship between stock liquidity and company size, profitability, leverage, growth, inflation, and dividend policy among non-financial firms listed on the IDX30 for the period February to July 2023.
Fostering Excellence in Madrasah through Collaborative Supervision: A Management Perspective Misbah, Misbah; Aziz, Abd.; Sokip, Sokip; Kojin, Kojin
International Journal of Science, Technology & Management Vol. 4 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i5.1187

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.
Antecendents Of Hotel Performance With Organizational Ambidexterity As Mediation On Employee of Three Star Hotels In Special Region Of Jakarta Happy Vanesa, Valentina; Usman, Bahtiar; Oki Berliyanti, Dita
International Journal of Science, Technology & Management Vol. 5 No. 6 (2024): November 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i6.1188

Abstract

The research aims to test and analyze the factors that influence Hotel Employee performance among 3 star hotel employees in Jakarta The unit of analysis is 322 individual employees who work for employees from 10 3-star hotels in Jakarta. Cross-sectional and one-shot data collection was carried out through structured questionnaires distributed via Google Form and also directly. Asymmetric causal research design using quantitative methods. The proposed model includes 123 hypotheses and is tested using Structural Equation Modeling (SEM). The majority of respondents were women aged 20-24 years, with contract employee status, staff positions, working period of less than 5 years with a high school/vocational school/equivalent education level. The results of the test found that Ambidextrous Leadership, Ambidextrous Organizational Culture and Organizational Ambidexterity had a positive influence on Hotel performance while Organizational Ambidexterity had a positive influence from Ambidextrous Leadership and Ambidextrous Organizational Culture The research results can help deepen understanding of the complexity of the relationship between HR Flexibility, ambidextrous, amdixterous leadership and High Performance Work Leadership System on Hotel Employee Performance through organizational Ambidexterity.
Analysis Of Co-Creation Strategy For Digital Entertainment Products Of PT Telekomunikasi Indonesia For The B2B2X Segment Febriantoro, Seto; Tricahyono, Dodie
International Journal of Science, Technology & Management Vol. 5 No. 6 (2024): November 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i6.1189

Abstract

Research analyzes PT Telekomunikasi Indonesia’s response to the decline in traditional communication services (landlines, mobile phones, SMS) due to consumer shifts toward free communication platforms like WhatsApp, Telegram, and Line. Additionally, the rise of entertainment content platforms (music, video, gaming) has driven changes in the telecommunications industry. In response, PT Telekomunikasi Indonesia’s B2B2X segment aims to gain a competitive advantage by collaborating with various stakeholders to create mutually beneficial business value. The research utilized methods including observations, supporting documents, and interviews, structured with the Co-Creation Design Framework. The findings show that the Co-Creation strategy successfully established collaborative value in PT Telekomunikasi Indonesia’s digital entertainment products for the B2B2X segment.
Smartphone-Based Accounting Information System Application: An Innovation Technology Solution For Startup Lailatul Nafiisa, Birra; Jaswadi, Jaswadi; Djajanto, Ludfi
International Journal of Science, Technology & Management Vol. 5 No. 6 (2024): November 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i6.1195

Abstract

This study aims to create an Accounting Information System (AIS) application that can be accessed using a smartphone. The object of the study is PT Orangiro Makmur Jaya (OMAJA POWER). This company is one of the startups that focuses on electrical. This type of research is Research & Development (R&D) with the Analysis, Design, Development (ADDIE) model. The results of this study are the testing of the feasibility of the application by material experts resulting in an average value of the feasibility percentage of 98% which means that the application is very feasible to implement. Next are the results of the testing of the feasibility of the application by media experts with an average value of the feasibility percentage of 100% which means that the application is very feasible to implement. Then the percentage of user satisfaction based on the Performance indicator reached 4.90%, and on the Information and data indicator 4.92%. Meanwhile, the Economic indicator obtained a percentage of 4.95%. Then on the Control and security indicator, the level of satisfaction shows a percentage of 4.94%. Next is the Efficiency indicator showing a percentage of 4.93%. The Service indicator shows a percentage of 4.92%. So, based on this percentage, it can be concluded that the existence of an AIS using the PIECES Framework is very satisfying for users.
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. Khairinia Kusuma, Alvitariani; Ratna Lindawati Lubis
International Journal of Science, Technology & Management Vol. 4 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i5.1196

Abstract

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. Keywords: MSMEs, digital platforms, 9F entrepreneurship, SDG 8.3, hijab fashion
Indonesian Preference of Teleconsultation Modality: Qualitative Study Ria Wibowo, Yossico; Djunita Pasaribu, Rina
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.v5i5.1006

Abstract

Since the outbreak of the COVID-19 pandemic, telemedicine users throughout the world have increased, including in Indonesia. Since COVID-19 pandemic, telemedicine is a business platform in the health sector with increasing number of users. Minister of Health Regulation Number 20 of 2019, which is currently the basis for implementing telemedicine in Indonesia, does not regulate the use of teleconsultation media used for diagnosis on telemedicine platforms. This research aims to provide recommendations regarding the use of teleconsultation media on telemedicine platforms. In this study, data was obtained from interviews with thirty-three participants. In conclusion, the video call feature should be a mandatory modality for teleconsultation, but it is optional to use and with adjusted teleconsultation fees.

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