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Pelatihan Digital Marketing Berbasis Teknologi dan Bahasa Promosi di Era Pasar Online untuk Meningkatkan Daya Saing UMKM Opak Lokal di Lingkungan Medan Tuntungan, Kecamatan Pancur Batu, Provinsi Sumatera Utara Mardhiatul Husna; Eni Ningrum; Muhammad Iqbal; Nurima Dongoran; Evrin Siagian
Jurnal Pengabdian Kepada Masyarakat dan Desa Volume 3, Nomor 1, Juli 2025
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/passa.v3i2.2869

Abstract

UMKM Eka Jaya Opak yang terletak di Medan Tuntungan, Kecamatan Pancur Batu, Provinsi Sumatera Utara, menghadapi tantangan dalam meningkatkan daya saing produk mereka di pasar online, terutama karena keterbatasan literasi digital, pemahaman digital marketing, dan akses terhadap teknologi. Pengabdian ini bertujuan untuk memberikan pelatihan digital marketing berbasis teknologi dan bahasa promosi yang efektif kepada pelaku UMKM. Pelatihan ini meliputi penggunaan perangkat digital, pemanfaatan media sosial, dan marketplace untuk pemasaran, serta teknik-teknik penulisan promosi yang persuasif. Hasil pelatihan menunjukkan peningkatan signifikan dalam pemahaman peserta mengenai pemasaran digital, dengan 85% pelaku UMKM mulai aktif menggunakan platform digital untuk promosi setelah pelatihan. Selain itu, terdapat peningkatan penjualan produk sebesar 30% dalam waktu tiga bulan setelah penerapan strategi pemasaran digital. Meskipun tantangan dalam penerapan masih ada, terutama terkait keterbatasan waktu dan keterampilan, pelaku UMKM menunjukkan perubahan positif dalam pola pikir mereka mengenai penggunaan teknologi. Oleh karena itu, pelatihan lanjutan dan pendampingan lebih intensif dibutuhkan untuk memastikan keberlanjutan dan pengembangan UMKM di pasar online.
Implementation of Machine Learning as Interactive Media in Modern Computer Learning Jenny Sari Tarigan; Erwinsyah Simanungkalit; Mardhiatul Husna; Djames Siahaan
International Journal of Educational Narratives Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i1.3447

Abstract

Background. This study explores the use of machine learning as an interactive medium in the context of modern computer learning, driven by increasingly dynamic educational demands that require adaptive and personalized learning approaches. Purpose. This study aims to evaluate the effectiveness of machine learning algorithms in developing interactive learning media that can improve conceptual understanding, active student participation, and a more personalized learning experience. Method. The methodology used is qualitative with a case study and experimental design, including observations, interviews with instructors and students, and quantitative and qualitative data analysis of system interactions. Results. The research findings indicate that learning media integrated with machine learning can adapt material to students' abilities and learning styles, provide real-time feedback, and increase student motivation and engagement in the learning process. The discussion highlights that machine learning functions not only as a technological tool but also as a means of pedagogical transformation that delivers an adaptive and personalized learning experience. Conclusion. Thus, the implementation of machine learning as an interactive medium has proven effective in improving the quality of the teaching-learning process, encouraging active participant engagement, and adapting materials to individual needs, making it an important strategy in modern, responsive computer education.  
Narratives of Performance Assessment-Based Competency Testing for Measuring Students' Programming Competencies Erwinsyah Simanungkalit; Jenny Sari Taringan; Mardhiatul Husna; Djames Siahaan
International Journal of Educational Narratives Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i3.3510

Abstract

Background. Programming competence is a fundamental skill for students in information technology education. Despite its importance, assessment practices continue to rely predominantly on theoretical examinations that inadequately represent students’ practical abilities to solve authentic programming problems. Purpose. This study aims to explore the narratives of performance assessment-based competency testing for measuring students’ programming competencies through an authentic and comprehensive assessment model that captures both learning processes and performance outcomes. Method. This study employed a quantitative approach using a quasi-experimental design supported by a literature review. Performance assessment narratives were developed from students’ competency test results using a structured rubric encompassing four dimensions: algorithm planning, code implementation, debugging, and program optimization. Results. The findings reveal narratives of students’ programming competency development that are more comprehensive than those generated through conventional assessment methods. The performance assessment model demonstrated greater accuracy in evaluating authentic programming competencies. Students achieved the highest performance in code implementation, whereas debugging and program optimization emerged as the primary challenges. Furthermore, the assessment narratives provided deeper insights into students’ critical thinking, problem-solving abilities, creativity, and the progression of their programming skills.   Conclusion. he narratives generated through performance assessment-based competency testing offer an authentic and effective evaluation framework for measuring students’ programming competencies. Beyond providing reliable evidence of learning outcomes, these narratives deliver meaningful feedback that supports continuous competency development and better prepares students to meet the professional demands of the information technology industry.