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Analisis User Generated Content untuk Mengidentifikasi Topik Pembicaraan Menggunakan Topic Modelling Putri, Ni Wayan Nanik Suaryani Taro; Suhendro, Jauzaa Maylia
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 4 No. 4: Mei 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v4i4.8419

Abstract

Perkembangan teknologi digital mendorong masyarakat untuk semakin sering berbagi informasi melalui berbagai platform online, termasuk membagikan kehidupan sehari-hari, pengalaman, hingga ulasan tentang produk atau layanan yang mereka gunakan. Ulasan merupakan salah satu bentuk User-Generated Content (UGC) yang mencerminkan opini asli konsumen tentang kualitas dan kinerja produk atau layanan. Social listening merupakan bagian dari strategi pemasaran digital yang memungkinkan perusahaan untuk mengumpulkan dan menganalisis UGC. Hasil dari analisis UGC ini dapat berupa wawasan pasar yang berguna sebagai dasar dalam merumuskan keputusan bisnis, termasuk dalam menyusun rekomendasi strategi pengembangan dan peningkatan kualitas layanan. Penelitian ini bertujuan untuk mengidentifikasi topik ulasan pengguna aplikasi SatuSehat pada Google Play Store dengan menggunakan metode topic modeling. Hasil topic modelling menunjukkan bahwa mayoritas permasalahan yang dihadapi pengguna berkaitan dengan aspek teknis dan pengalaman pengguna, seperti kendala aplikasi setelah pembaruan, kesulitan login dan pendaftaran akun, masalah sertifikat vaksin yang hilang atau tidak muncul, persepsi pengguna terhadap kualitas aplikasi, serta transisi dari PeduliLindungi ke SatuSehat. Berdasarkan hasil analisis tersebut, rekomendasi pengembangan dan perbaikan yang dapat dilakukan SatuSehat adalah meningkatkan stabilitas aplikasi, memperbaiki sistem login dan autentikasi, serta mengoptimalkan pengalaman pengguna agar lebih responsif terhadap kebutuhan masyarakat. Sehingga nantinya pengembangan dan perbaikan aplikasi yang dilakukan dapat meningkatkan kualitas layanan SatuSehat.
Student Perspectives on Social Problems in Indonesia: A Documentation Study on Primakara University Student Articles Alam, Helmy Syakh; Putri, Ni Wayan Nanik Suaryani Taro; Ayundia, Ni Kadek Yenni
ASANKA : Journal of Social Science and Education Vol. 6 No. 2 (2025)
Publisher : Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social problems in Indonesia, such as corruption, drug abuse, and bullying, remain significant challenges impacting national development and social integrity. This study explores students' perspectives on these issues through a documentation study of 86 reflective articles written by Primakara University students. Using a qualitative descriptive approach with thematic analysis, the study identifies dominant themes and validates findings with national data and academic literature. The results reveal that students are highly aware of social issues and propose solution-based recommendations emphasizing education, empathy, and policy reform. These insights align with successful practices from Finland, Portugal, and Denmark. The study underscores the importance of student participation in social development and the need for progressive educational policies to support social change.
Mindset in Vocational Students Through AI-Assisted Business Model Canvas Workshop Putri, Ni Wayan Nanik Suaryani Taro; Suhendro, Jauzaa Maylia; Kusuma, Ni Putu Noviyanti
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 5, No 1: February 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ljpmt.v5i1.36640

Abstract

Vocational High School (SMK) graduates in Indonesia experience persistently high unemployment, partly because many students’ competencies remain oriented toward formal employment rather than business creation. Preliminary interviews at SMK Saraswati 1 Denpasar indicated that among 51 grade-12 students enrolled in the entrepreneurship subject, only five reported owning or intending to start a business after graduation. This community service program aimed to strengthen students’ technopreneurship understanding and their ability to produce a structured business plan using the Business Model Canvas (BMC), supported by Generative AI (ChatGPT). The intervention was delivered in a 2-hour workshop consisting of: (1) a 30-minute session on entrepreneurship and technopreneurship concepts, (2) a 50-minute step-by-step BMC development integrated with ChatGPT and guided by the speaker with facilitator mentoring and observation, and (3) a 40-minute group presentation with feedback. Outcomes were assessed using a descriptive evaluation framework (pre–post concept quiz, BMC rubric, and structured observations). Before the program, all students recognized the term “entrepreneur,” but only 3.92% demonstrated adequate understanding of “technopreneurship”; after the workshop, 100% of participants could define both concepts, explain differences, and provide examples. All groups completed the nine BMC blocks (100%), with 80% of group outputs reflecting technopreneurship-based business ideas. Rubric review identified recurring weaknesses in articulating value propositions (30%) and distinguishing customer relationships from channels (40%). Overall, integrating BMC practice with AI-assisted ideation provides a practical and replicable approach to improve structured business thinking and digital literacy among SMK students.