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Market Exploration of MOOC Provider Companies in Indonesia Using Machine Learning Alwi, Ahmad Chafid; Dwiningrum, Siti Irene Astuti; Priyanto, Priyanto; Nurlayli, Aksin
JURNAL ILMU MANAJEMEN Vol. 22 No. 2 (2025): DECEMBER 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jim.v22i2.85095

Abstract

This research aims to explore the market of MOOC (Massive Open Online Course) platform providers in Indonesia using machine learning methods to analyse trends and user behaviour. MOOCs provide broad access to education, especially during the pandemic, where the need for learning flexibility increases. Although machine learning applications have been widely applied in the financial sector, their application in the exploration of the education market, particularly MOOCs, is still minimal. This research aims to address this gap by applying machine learning algorithms, such as clustering and decision trees, to understand user preferences and predict future needs. The study found that Duolingo leads the MOOC market in Indonesia with a 79.76% share. Although the market is dominated by a few big players, there are growth opportunities for new platforms through innovation and proper segmentation. This research also shows the importance of applying AI technology in processing big data to understand market dynamics more comprehensively.
Market Exploration of MOOC Provider Companies in Indonesia Using Machine Learning Alwi, Ahmad Chafid; Dwiningrum, Siti Irene Astuti; Priyanto, Priyanto; Nurlayli, Aksin
JURNAL ILMU MANAJEMEN Vol. 22 No. 2 (2025): DECEMBER 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jim.v22i2.85095

Abstract

This research aims to explore the market of MOOC (Massive Open Online Course) platform providers in Indonesia using machine learning methods to analyse trends and user behaviour. MOOCs provide broad access to education, especially during the pandemic, where the need for learning flexibility increases. Although machine learning applications have been widely applied in the financial sector, their application in the exploration of the education market, particularly MOOCs, is still minimal. This research aims to address this gap by applying machine learning algorithms, such as clustering and decision trees, to understand user preferences and predict future needs. The study found that Duolingo leads the MOOC market in Indonesia with a 79.76% share. Although the market is dominated by a few big players, there are growth opportunities for new platforms through innovation and proper segmentation. This research also shows the importance of applying AI technology in processing big data to understand market dynamics more comprehensively.
Entrepreneurial resilience of Gudeg msmes: Analysis of survival strategies and basic resilience factors Nugraha, R. Andro Zylio; Dwiningrum, Siti Irene Astuti
Assets: Jurnal Akuntansi dan Pendidikan Vol. 14 No. 2 (2025)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jap.v14i2.22420

Abstract

This study aims to examine the resilience of Gudeg micro, small and medium enterprises (MSMEs) in Yogyakarta with a focus on the basics of resilience and survival strategies applied by business actors. Through a qualitative approach with a case study design, data was collected through in-depth interviews, observation, and documentation of a number of Gudeg MSME owners in the Wijilan culinary center area of Yogyakarta. The results showed that the basis of MSME resilience includes two factors, namely internal and external. In both factors, there are aspects of value, appreciation, consistency, preservation, culture, innovation, activity, and product. Meanwhile, the survival strategy includes the synergy of marketing mix theory with PESTLE Analysis. The findings underscore the importance of a combination of internal and external strengths and adaptive strategies in maintaining the sustainability of traditional culinary businesses amidst changes in the business environment. This research provides practical implications for the development of MSME assistance policies based on local potential and business resilience.
Analisis Gaya Belajar Siswa generasi Z dalam Perspektif Social Kognitif Theory Patmisari Patmisari; Siti Irene Astuti Dwiningrum
DWIJA CENDEKIA: Jurnal Riset Pedagogik Vol 9, No 2 (2025): September 2025
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jdc.v9i2.104081

Abstract

Penelitian ini bertujuan untuk memetakan kecenderungan gaya belajar mahasiswa Generasi Z dalam konteks pembelajaran digital serta menjelaskannya melalui kerangka Social Cognitive Theory (SCT). Metode penelitian yang digunakan adalah survei kuantitatif deskriptif, dengan pengumpulan data menggunakan instrumen Index of Learning Styles (ILS) yang telah diterjemahkan dan disesuaikan ke dalam Bahasa Indonesia. Instrumen disebarkan secara daring kepada 309 responden berusia 13–19 tahun di wilayah Solo Raya menggunakan teknik purposive–incidental sampling, dengan analisis data berupa statistik deskriptif berbasis distribusi persentase. Hasil penelitian menunjukkan bahwa gaya belajar visual mendominasi (54%), diikuti asimilatif, sedangkan dimensi aktif–reflektif dan sequential–global berada pada kategori rendah. Temuan ini menunjukkan adanya preferensi kuat terhadap pembelajaran berbasis observasi visual, fleksibilitas strategi belajar, dan pemanfaatan lingkungan digital dalam mengakses informasi. Berdasarkan konstruk SCT, gaya belajar Gen Z merupakan hasil interaksi tiga faktor, yaitu personal (preferensi visual, efikasi diri), behavioral (strategi belajar mandiri, observasional), dan environmental (paparan teknologi digital yang intens). Simpulan penelitian menegaskan pentingnya desain pembelajaran adaptif, visual, dan berbasis teknologi dalam mendukung keterlibatan serta optimalisasi potensi belajar Generasi Z. Analysis of Generation Z students' learning styles from a social cognitive theory perspective Abstract: This study aims to map the learning style tendencies of Generation Z students in digital learning environments and explain them through the lens of Social Cognitive Theory (SCT). A quantitative descriptive survey method was employed using the Index of Learning Styles (ILS) instrument, which was translated and culturally adapted into Indonesian. Data were collected online from 309 respondents aged 13–19 years in the Solo Raya region using purposive–incidental sampling. Descriptive statistical analysis was conducted using percentage distribution. The findings revealed a dominant visual learning style (54%) followed by assimilative tendencies, while the active–reflective and sequential–global dimensions scored low. These results indicate a strong preference for visual observation-based learning, flexible strategies, and technology-driven information access. Within the SCT framework, the learning styles of Generation Z are shaped by reciprocal interactions between personal factors (visual preference, self-efficacy), behavioral factors (self-regulated observational learning), and environmental factors (intensive exposure to digital media). The study concludes that adaptive, visually rich, and technology-integrated instructional designs are essential for enhancing learning engagement and optimizing the educational potential of Generation Z learners.
Co-Authors - Prihastuti - Suwarjo Abdul Malik Adawiya, Robiatul Ahmad Chafid Alwi Ahmad Naharuddin Ramadhan Ahwy Oktradiksa Akhsin Nurlaily Akhsin Nurlayli Aliyah Rasyid Baswedan Amika Wardana Amir Syamsudin Amrih Setyo Raharjo Amrih Setyo Raharjo Anggara, Puput Tri ani ani Ani Widyawati Anindita Ayu Nisa Utami Anita Anita Annisa Setyaningrum Ardiyaningrum, Martalia Ariefa Efianingrum Arif Hidayat Arifiyanti, Nurul Ariyadi Wijaya Arlinwibowo, Janu Arum Setiowati Aryani, Anggi Erna Aswasulasikin Badrus Sholeh Betania Kartika Budi Astuti Bustami Subhan Caly Setiawan Cicih Wiarsih, Cicih Dadan Rosana Deda, Yohanis Ndapa Dos Santos, Mariano Dyah Kumalasari Dyah Respati Suryo Sumunar Dyahsih Alin Sholihah Ebni Sholikhah Edi Purwanta Edi Widodo, Edi Eka Zuliana Endang Mulyani Enny Zubaidah Enny Zubaidah Fadli, Muhammad Rijal Farida Hanum Fredy Fredy Hardiyanti Pratiwi, Hardiyanti Hari Purnomo Susanto Harun Harun Hastuti Hayashi, Masami Heri Retnawati Hermina Disnawati, Hermina I Dewa Putu Eskasasnanda, I Dewa Putu Iin Purnamasari Imam Malik Insih Wilujeng Ivan Luthfi Ihwani, Ivan Luthfi Joko Sri Sukardi, Joko Sri Julham Hukom jumiatmoko jumiatmoko Khasanah Nur Hidayah Khirjan Nahdi Kristi Wardani Lapele, Fitria Latuapo, Ridhwan Mami Hajaroh Martiana, Aris Maryani Maryani Minasyan, Sona Muhamad Ngafifi Mulyana, Ari Musa, La Nopita Sitompul Nurlayli, Akhsin Nurlayli, Aksin Nurul Fatimah Okto Wijayanti P. Priyanto Patmisari Prihono, Eko Wahyunanto Priyanto Priyanto Priyanto Priyanto R. Andro Zylio Nugraha Rahayu Condro Murti Rashid, Salman Renni Ramadhani Lubis Renni Ramadhani Lubis Renni Ramadhani Lubis Reyes Jr., Margarito Surbito Riana Nurhayati Riko Septiantoko Rina Dyah Rahmawati Rino Richardo Rino Richardo Riwanda, Agus Roza, Roza Novita Rukiyati Rukiyati S Sujarwo S. Suyata Safitri Yosita Ratri Saliman Saliman Saputro, Eko Prasetyo Nugroho Setyawan, Siti Luzviminda Harum Pratiwi Shely Cathrin Shodiq A Kuntoro Sinaga, Juniar Sukirjo, Sukirjo Sumarno Sumarno Sunaryo Sunarto, Sunaryo Supardi Supardi Supartinah Suranto Aw Surono Surono Sutikno Sutikno Suyantiningsih Suyantiningsih Suyanto Suyanto Taryatman Taryatman Utami, Anindita Ayu Nisa Wahyudi, Andi Widyastuti Purbani Wiwik Lestari Y. Rimawan Prihartoyo Yunike Sulistyosari Yusinta Dwi Ariyani Yusuf Tri Herlambang