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MARLINA, LILIS
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Pengaruh Faktor Kepuasan Pengguna Terhadap Perancangan Mock-Up Aplikasi Pembelajaran Berbasis AI Sari, Intan Wulan; Erliana, Hilma; Luthfi, Luthfi; Mustari, Andi; Dwinta, Ade; Marlina, Lilis; Ayunda, Desy Sary
VOCATECH: Vocational Education and Technology Journal Vol 8, No 1 (2026): April
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v8i1.310

Abstract

AbstractThe development of artificial intelligence (AI)-based learning applications requires a user-oriented approach from the initial design stage. However, many mock-up designs for learning applications are still dominated by the technical perspective of developers without being based on quantitative analysis of user satisfaction, thereby potentially reducing the effectiveness and acceptance of the system. This study aims to analyze the influence of user satisfaction factors on the design of AI-based learning application mock-ups. The method used is descriptive-explanatory quantitative with linear regression analysis on 183 vocational student respondents. The results show that expected benefits (X2) have a significant effect on user satisfaction (β = 0.202, p 0.05), while system requirements (X1) do not have a significant effect but play a role as a functional foundation. Simultaneously, both variables explain 44% of the variation in user satisfaction. The implications of these findings are implemented in the design of an application mock-up that emphasizes material personalization features, AI-based recommendations, and an adaptive interface. Thus, this study provides practical contributions in the form of an empirical basis for more user-centered mock-up design, as well as theoretical contributions in integrating the concept of user satisfaction into the early stages of AI-based learning system development.Keywords: Artificial intelligence; user satisfaction; mock-up; personalized learning; vocational educationAbstrakPengembangan aplikasi pembelajaran berbasis kecerdasan buatan (AI) memerlukan pendekatan yang berorientasi pada pengguna sejak tahap perancangan awal. Namun, banyak perancangan mock-up aplikasi pembelajaran masih didominasi oleh perspektif teknis pengembang tanpa didasarkan pada analisis kuantitatif kepuasan pengguna, sehingga berpotensi mengurangi efektivitas dan penerimaan sistem. Penelitian ini bertujuan untuk menganalisis pengaruh faktor kepuasan pengguna terhadap perancangan mock-up aplikasi pembelajaran berbasis AI. Metode yang digunakan adalah kuantitatif deskriptif-eksplanatori dengan analisis regresi linier pada 183 responden mahasiswa vokasi. Hasil penelitian menunjukkan bahwa manfaat yang diharapkan (X2) berpengaruh signifikan terhadap kepuasan pengguna (β = 0,202, p 0,05), sementara kebutuhan sistem (X1) tidak berpengaruh signifikan namun berperan sebagai fondasi fungsional. Secara simultan, kedua variabel menjelaskan 44% variasi kepuasan pengguna. Implikasi temuan ini diimplementasikan dalam perancangan mock-up aplikasi yang menekankan fitur personalisasi materi, rekomendasi berbasis AI, dan antarmuka yang adaptif. Dengan demikian, penelitian ini memberikan kontribusi praktis berupa dasar empiris untuk perancangan mock-up yang lebih berpusat pada pengguna, serta kontribusi teoretis dalam mengintegrasikan konsep kepuasan pengguna ke dalam tahap awal pengembangan sistem pembelajaran berbasis AI.Kata Kunci: Kecerdasan buatan; kepuasan pengguna; mock-up; personalisasi pembelajaran; pendidikan vokasi
Pengaruh Transparansi Keuangan Desa terhadap Pengelolaan Bantuan Langsung Tunai Dana Desa di Kabupaten Aceh Barat Lismawati, Lismawati; Marlina, Lilis; Rahmadani, Ika; Fatmayanti, Fatmayanti
Regress: Journal of Economics & Management Vol. 4 No. 3 (2025)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57251/reg.v4i3.1981

Abstract

Economic inequality in income distribution and regional disparities underscores the importance of sustaining Village Fund programs, particularly Direct Cash Assistance financed through Village Funds, to reduce social imbalances. Nevertheless, the implementation of this assistance has encountered governance challenges, including alleged fund deductions in Rundeng Village, Johan Pahlawan Subdistrict, West Aceh Regency. This study examines whether village financial transparency significantly influences the management effectiveness of Direct Cash Assistance funded by Village Funds in West Aceh Regency. Employing a quantitative approach with purposive sampling, the research was conducted in 21 villages within Johan Pahlawan Subdistrict and involved 105 respondents consisting of village officials and assistance beneficiaries, with hypotheses tested using simple linear regression analysis. The findings reveal that village financial transparency has a positive and statistically significant effect on the effectiveness of assistance management, with a regression coefficient of 0.465; however, the coefficient of determination (R Square) of 17.6 percent indicates that other structural and administrative factors also contribute substantially. These results affirm that strengthening transparency mechanisms constitutes a critical prerequisite for improving accountability and governance quality in village-level social assistance programs.
Co-Authors 366-373 , Ade Dwinta Aini, Quratul Akhyat, Fathur Anni Alvionita Simanjuntak Asiatun, Anggun Azzahra, Lilisa Chairul Adhim Desy Sary Ayunda Devi, Santi DEWI SARTIKA Dian Urna Fasihat Enjelina Erlina Erlina Fatmayanti Fatmayanti, Fatmayanti Febriana, Mimi Hafiza, Hafiza Hasan, Riza Hastuti, Felda Hilma Erliana Intan Wulansari Irwansyah Irwansyah Iskandar, Rizkiana Jadid, Miftahul Japriani, Meli Khotibul Umam Linda Rahmazaniati Lismawati, Lismawati Luthfi Luthfi Luthfi, Luthfi mahdani, said Mahmud Mahmud Maulina, Rina Mega Lestari Melawati, Melawati muhammad rizky, muhammad Muhtar Muhtar Mulyati Mulyati Munira Munira, Munira Mustari, Andi Ningsih, Niken Rahayu Nurzahwa, Cindy Lusiana PURWATI, Tesa Putri Rahmadani, Ika RAHMAZANIATI, LINDA Sabillah, Muhammad Sari, Intan Wulan Siti Nurhaliza Suhada Suhada, Suhada Suprianto, Iwil Syamsurizal, S. Tinambunan, Mika Wartina Yani, Akhmad Yeye Suhaety