Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat
Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat aims to provide a scholarly platform for the dissemination of high-quality research findings, academic studies, and innovative perspectives in the fields of economics, management, and education. The journal is committed to advancing theoretical and practical knowledge while contributing to community development, quality improvement, and societal well-being. It welcomes original research articles, conceptual studies, and interdisciplinary research that address contemporary issues, emerging challenges, and developments in economics, management, education, and their applications in society. The scope of the journal encompasses a broad range of topics, including economics and economic development, economic policy, management, organizational management, entrepreneurship, business development, marketing, consumer behavior, finance and financial management, human resource management, creative economy, and community-based economic development. In the field of education, the journal welcomes studies related to education, learning, educational management, educational innovation, and the development of effective learning practices. The journal also encourages interdisciplinary studies that integrate economics, management, and education to examine emerging developments, challenges, and issues affecting individuals, organizations, and communities. The journal is intended for academics, researchers, educators, practitioners, students, policymakers, and other scholars and professionals who have an interest in economics, management, education, and related interdisciplinary fields. Published articles are expected to make meaningful contributions to the development of theories, concepts, methodologies, and practices while providing innovative, relevant, and evidence-based insights to address contemporary societal challenges. Through the publication of rigorous, relevant, and academically accountable scholarly works, Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat seeks to facilitate knowledge exchange, encourage academic and interdisciplinary collaboration, and promote innovation in economics, management, and education. Ultimately, the journal aims to contribute to the advancement of knowledge and the development of sustainable, innovative, and responsive solutions for the improvement of community and societal well-being.
Articles
5 Documents
<![CDATA[Pengaruh Digital Marketing (Live Streaming Tiktok) Terhadap Repurchase Intention Melalui Customer Engagement ]]>
<![CDATA[Tien Karyanti]]>
<![CDATA[ Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat Vol. 1 No. 1 (2026): Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat ]]>
Publisher : <![CDATA[PT.IHLAS (Ilmu Adalah Segalanya) BICARA CENTRE ]]>
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<![CDATA[The rapid growth of digital platforms has significantly transformed marketing strategies, particularly through live streaming features on social media such as TikTok Live. Digital marketing via live streaming enables businesses to interact with consumers in real time, provide product demonstrations, and build stronger emotional connections that may influence consumer behaviour. This study aims to examine the effect of digital marketing through TikTok Live Streaming on repurchase intention, with customer engagement as a mediating variable in the context of digital transformation. This research employs a quantitative approach using a survey method. Data were collected from consumers who have experience watching or participating in TikTok Live Streaming sessions and have previously made purchases through the platform. The data were analysed using statistical techniques to test the relationships between digital marketing via TikTok Live Streaming, customer engagement, and repurchase intention. The results indicate that digital marketing through TikTok Live Streaming has a positive and significant effect on customer engagement. Furthermore, customer engagement significantly influences repurchase intention. In addition, TikTok Live Streaming as a form of digital marketing indirectly affects repurchase intention through customer engagement as a mediating variable. These findings suggest that interactive and real-time communication in live streaming marketing plays an important role in strengthening consumer engagement, which ultimately encourages repeat purchase behaviour. This study provides practical implications for businesses and marketers in optimizing TikTok Live Streaming as an effective digital marketing strategy to enhance customer engagement and increase repurchase intention in the digital era.]]>
<![CDATA[Efektivitas Pendekatan Pembelajaran English for Specific Purposes (ESP) berbasis Contextual Based Learning dalam Meningkatkan Kemampuan Menulis Recount Text pada Siswa Sekolah Menengah Kejuruan Jurusan Teknik Komputer dan Jaringan di SMKS Teknologi ]]>
<![CDATA[Septian Aep Nugraha]]>
<![CDATA[ Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat Vol. 1 No. 1 (2026): Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat ]]>
Publisher : <![CDATA[PT.IHLAS (Ilmu Adalah Segalanya) BICARA CENTRE ]]>
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<![CDATA[Writing competence is an essential outcome of English learning in vocational high schools, particularly for students of Computer and Network Engineering who are expected to communicate technical experiences, internship activities, and workplace procedures in English. This study aims to examine the effectiveness of English for Specific Purposes (ESP) Contextual Based Learning in improving students’ ability to write recount texts. The study was designed as a quasi-experimental research using a non-equivalent control group design. The participants consisted of two Grade X vocational classes: one experimental class receiving ESP contextual instruction and one control class receiving conventional instruction. The intervention integrated computer-networking themes, authentic workplace vocabulary, guided genre modeling, collaborative drafting, and reflection on students’ vocational experiences. Data were collected through writing pre-tests and post-tests, an analytic writing rubric, observation sheets, and student response questionnaires. The illustrative analysis shows that the experimental group gained a higher post-test mean score than the control group, particularly in content development, text organization, vocabulary relevance, and grammatical accuracy. The independent-samples test and normalized gain analysis indicate that ESP Contextual Based Learning has a meaningful effect on recount text writing achievement. The findings imply that contextualized ESP instruction can bridge general English learning and vocational communication needs by making writing tasks more authentic, purposeful, and connected to students’ technical fields.]]>
<![CDATA[Analisis Komparatif Random Forest dan Support Vector Machine untuk Klasifikasi Sentimen Ulasan Aplikasi Mobile Berbahasa Indonesia Berbasis Natural Language Processing ]]>
<![CDATA[Sri Mulyani]]>
<![CDATA[ Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat Vol. 1 No. 1 (2026): Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat ]]>
Publisher : <![CDATA[PT.IHLAS (Ilmu Adalah Segalanya) BICARA CENTRE ]]>
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<![CDATA[The rapid growth of mobile applications in Indonesia has generated large volumes of user reviews that can be used to evaluate service quality and user experience. However, Indonesian-language reviews are often informal, noisy, and context dependent, making sentiment classification a challenging Natural Language Processing task. This study aims to compare the performance of Random Forest and Support Vector Machine in classifying Indonesian mobile application reviews into positive, neutral, and negative sentiment classes. The proposed research pipeline consists of data collection, text cleaning, case folding, slang normalization, tokenization, stop-word removal, stemming, TF-IDF feature extraction, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix. In the example experimental scenario involving 3,000 balanced reviews and an 80:20 train-test split, Support Vector Machine obtained higher accuracy and macro F1-score than Random Forest, namely 89.33% and 0.887 compared with 86.50% and 0.861. The result indicates that SVM is more suitable for sparse high-dimensional TF-IDF features, while Random Forest remains useful as an interpretable ensemble baseline. This study contributes a reproducible comparative framework for Indonesian mobile-app sentiment classification and may support developers in transforming user reviews into data-driven improvement priorities.]]>
<![CDATA[ANALISIS MANAJEMEN HUBUNGAN INDUSTRI DALAM MENINGKATKANPENYERAPAN LULUSAN SMK ]]>
<![CDATA[Yayan Diansyah]]>;
<![CDATA[Irma Charlin Octaviani]]>
<![CDATA[ Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat Vol. 1 No. 1 (2026): Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat ]]>
Publisher : <![CDATA[PT.IHLAS (Ilmu Adalah Segalanya) BICARA CENTRE ]]>
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<![CDATA[This study aims to analyze industrial relations management in improving the employability of Vocational High School (SMK) graduates. Industrial relations serve as a strategic approach implemented by schools to ensure the alignment between graduates' competencies and the needs of the labor market. This study employed a descriptive qualitative approach, with data collected through observations, interviews, and documentation. The research participants included the principal, the vice principal for industrial relations, vocational teachers, and industry partners. The findings indicate that industrial relations management, implemented through partnership planning, industrial work-based learning (internship) programs, collaborative recruitment with industry, and program evaluation, has contributed significantly to enhancing students' competencies and increasing their employment opportunities. The main supporting factors include effective communication with business and industry sectors, curriculum alignment with industry requirements, and active industry involvement in the learning process. Meanwhile, the primary challenges identified are the limited number of industry partners and the varying competency requirements across different companies. The study concludes that effective industrial relations management has a positive impact on improving the employability and workforce absorption of Vocational High School graduates.]]>
<![CDATA[Pemanfaatan Artificial Intelligence Berbasis Generative AI dalam Pembelajaran English for Specific Purposes (ESP) untuk Meningkatkan Kemampuan Speaking Siswa Sekolah Menengah Kejuruan ]]>
<![CDATA[Septian Aep Nugraha]]>;
<![CDATA[Engkay Sukarsih]]>;
<![CDATA[Endah Nurmalasari]]>
<![CDATA[ Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat Vol. 1 No. 1 (2026): Jurnal Inovasi Ekonomi, Manajemen, dan Pendidikan Masyarakat ]]>
Publisher : <![CDATA[PT.IHLAS (Ilmu Adalah Segalanya) BICARA CENTRE ]]>
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<![CDATA[This article discusses the use of Generative Artificial Intelligence (GenAI) in English for Specific Purposes (ESP) learning to strengthen the speaking skills of vocational high school students. The problem addressed is the gap between workplace communication demands and students' limited opportunities to practice job-related English speaking in authentic, iterative, and feedback-rich situations. The study employs a conceptual research and development approach by synthesizing recent literature on AI in education, GenAI in language learning, ESP pedagogy, and AI-supported speaking assessment. The result is an AI-ESP Speaking Cycle consisting of needs analysis, prompt design, AI-supported role-play, teacher validation, reflective revision, and authentic speaking performance. The model positions GenAI as a conversational partner, scenario generator, feedback assistant, and vocabulary scaffold, while the teacher remains the pedagogical controller who verifies language accuracy, ethics, and occupational relevance. The proposed model provides a practical framework for vocational English teachers to integrate GenAI responsibly through industry-based scenarios, speaking rubrics, prompt banks, and risk mitigation procedures. The article concludes that GenAI can expand speaking practice and personalized feedback in ESP classes, but its implementation requires teacher mediation, AI literacy, data privacy awareness, and assessment designs that prioritize human communication competence.]]>
