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Pengaruh Perceived Ease of Use dan Perceived Usefulness terhadap Continuance Intention dengan User Satisfaction sebagai Variabel Mediasi Najwan Tsaqib; Diena Noviarini; Sabo Hermawan
Indonesia Economic Journal Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/vpgkhf47

Abstract

Pertumbuhan pengguna dan transaksi QRIS di Indonesia meningkat signifikan dalam beberapa tahun terakhir, namun peningkatan adopsi tersebut belum sepenuhnya diiringi dengan keberlanjutan penggunaan, mengingat masih ditemukan keluhan pengguna terkait kendala transaksi dan resistensi sebagian pelaku usaha terhadap QRIS. Penelitian ini bertujuan untuk mengetahui pengaruh perceived ease of use dan perceived usefulness terhadap continuance intention dengan user satisfaction sebagai variabel mediasi pada pengguna QRIS. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan teknik purposive sampling, yaitu generasi Z yang berdomisili di wilayah Jabodetabek, berusia 17 sampai 27 tahun, dan pernah menggunakan QRIS sebagai metode pembayaran. Sebanyak 130 data responden yang terkumpul kemudian diolah dan dianalisis menggunakan program SmartPLS 4.0 melalui pendekatan Partial Least Squares Structural Equation Modeling, meliputi evaluasi outer model yang mencakup convergent validity, discriminant validity, dan reliabilitas, serta inner model yang mencakup R-Square, Q-Square, dan uji signifikansi path coefficient. Hasil penelitian menunjukkan bahwa perceived usefulness dan perceived ease of use memiliki pengaruh positif dan signifikan terhadap user satisfaction, serta perceived usefulness, perceived ease of use, dan user satisfaction terbukti berpengaruh positif dan signifikan terhadap continuance intention pengguna QRIS, sehingga user satisfaction terkonfirmasi berperan sebagai variabel mediasi dalam hubungan tersebut.  
Faktor-Faktor yang Memengaruhi Repurchase Intention pada Pengguna Netflix Jenny Surya Karnisya; Corry Yohana; Sabo Hermawan
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 3 (2026): JULI-SEPTEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/b72yn254

Abstract

The development of the post-pandemic information ecosystem, especially digital media field has fueled the massive growth of video-on-demand platforms in Indonesia. This phenomenon is supported by data from We Are Social (2025), which indicates that 34.7% of internet penetration in Indonesia prioritizes spending on movie streaming. Amidst intense market competition, Netflix has emerged as one of the most popular platforms. This study aims to analyze the influence of social media marketing, perceived usefulness, and e-service quality on repurchase intention through customer satisfaction of Netflix Generation Z users in DKI Jakarta. The approach chosen for this study was a survey method with 190 respondents selected using a purposive sampling technique. Data were collected through an online questionnaire with a six-point Likert scale and analyzed using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) with the help of SmartPLS4. The results showed that perceived usefulness directly influences repurchase intention. Meanwhile, social media marketing and e-service quality did not significantly influence repurchase intention, which means it must be bridged by customer satisfaction. These findings indicate that Generation Z's repurchase intention is more influenced by the ease of use of the system and perceived functional benefits than by marketing through social media.
EMPOWERING HOUSEWIFE MSMES THROUGH SUSTAINABLE HEALTHY FOOD BUSINESSES Susan Febriantina; Inkreswari Retno Hardini; Rizki Firdausi Rachmadania; Hera Khairunnisa; Sabo Hermawan; Rayi Dwipanilih; Diva Diamantiara Dynessa; Radhit Aditya Junod
Jurnal Pemberdayaan Masyarakat Madani (JPMM) Vol. 10 No. 1 (2026): Jurnal Pemberdayaan Masyarakat Madani (JPMM) (DOAJ & SINTA 4 Indexed)

Publisher : Faculty of Economics and Business, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPMM.010.1.06

Abstract

This community service initiative, conducted on May 30, 2026, at the Aula SDIT Ummul Quro, Depok, aimed to enhance the capacity of the Sehat Bugar Baitussalam Community (KSBB) members in developing sustainable healthy food businesses.Aligned with Sustainable Development Goals (SDGs) 1 (No Poverty) and 8 (Decent Work and Economic Growth), the program equipped 31 participating housewives with essential skills through participatory training. Implemented in three systematic stages, the training covered healthy food processing based on raw food concepts and fundamental MSME accounting. Quantitative evaluation using pre-test and post-test instruments demonstrated a statistically significant improvement in participants' understanding, with average scores increasing from 85.95 to 86.87. Furthermore, 32.26% of participants exhibited marked score increases, while 41.94% maintained high stable scores. The outcomes indicate that integrating practical culinary education with foundational financial literacy is highly effective in fostering entrepreneurial independence and enabling the adoption of sustainable business models among grassroots communities.
Rancang Bangun AI Assistant Berbasis Retrieval-Augmented Generation (RAG) untuk Layanan Informasi Akademik Fakultas Inkreswari Retno Hardini; Sabo Hermawan; Rayi Dwipanilih
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1525

Abstract

Perkembangan Generative Artificial Intelligence (Generative AI) memberikan peluang untuk meningkatkan akses terhadap informasi akademik melalui interaksi berbasis bahasa alami. Namun, penggunaan Large Language Model (LLM) secara langsung memiliki keterbatasan karena model dapat menghasilkan informasi yang tidak sesuai dengan sumber pengetahuan yang digunakan. Penelitian ini bertujuan untuk merancang dan membangun FEB AI Assistant sebagai layanan informasi akademik berbasis web pada Fakultas Ekonomi Universitas Negeri Jakarta (FEB UNJ) dengan menerapkan pendekatan Retrieval-Augmented Generation (RAG). Metode penelitian meliputi analisis kebutuhan, perancangan sistem, pembangunan knowledge base, implementasi RAG, pengembangan aplikasi, dan pengujian sistem. FEB AI Assistant dikembangkan menggunakan Laravel, PHP, MySQL, REST API, dan Gemini API sebagai LLM. Knowledge base dibangun dari dokumen akademik yang diproses menjadi document chunk untuk digunakan dalam proses retrieval sebelum menghasilkan respons. Hasil implementasi menunjukkan bahwa sistem dapat menjalankan fungsi utama mulai dari pengelolaan dokumen, pemrosesan knowledge base, retrieval informasi, generasi respons melalui Gemini API, hingga penyajian jawaban kepada pengguna. Pengujian fungsional terhadap sembilan skenario menunjukkan seluruh fungsi berhasil dijalankan dengan tingkat keberhasilan 100%. Pengujian respons juga menunjukkan bahwa sistem mampu menghasilkan jawaban yang relevan dan mengacu pada informasi yang tersedia pada knowledge base. Hasil penelitian menunjukkan bahwa pendekatan RAG dapat diterapkan untuk mendukung layanan informasi akademik yang lebih interaktif dan berbasis bahasa alami pada tingkat fakultas.
A Reproducible Ranking Pipeline for Gamified Peer-Assessment in Project-Based Learning Supporting SDG 4 Sabo Hermawan; Fauzan Fadlullah; Inkreswari Retno Hardini; Alifah Nur Rahmawati; Cornellius Seno Adriano
Journal of Computer Networks, Architecture and High Performance Computing Vol. 8 No. 4 (2026): Research Paper October 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v8i4.9512

Abstract

Background: Gamified live-scoring effectively stimulates engagement in project-based learning. However, low-friction interfaces often introduce vulnerabilities, such as structurally invalid ranking selections that occur in rapid-response environments, threatening data integrity. Objective: This study develops a reproducible data-validation and lexicographic ranking pipeline for gamified peer-assessment systems to safeguard evaluation integrity and support SDG 4 (Quality Education). Methods: The proposed pipeline combines identity deduplication, structural validation of ranked selections, weighted score aggregation, and hierarchical tie-handling. The integrated validation and ranking pipeline was evaluated using 181 historical submissions from four classroom cohorts engaged in project-based learning. Results, The validation stages retained 155 valid submissions, establishing an 85.6 percent retention rate. An ablation analysis revealed that identity deduplication and ranking-rule validation detected partially overlapping data quality issues. Empirical analysis demonstrated that secondary vote-tier counts deterministically resolved ties when project groups shared the same aggregate score but differed in premium votes. Exact ties remaining across all ranking keys were assigned shared ranks. A sensitivity analysis comparing two weighting schemes found highly stable top-three rankings across all cohorts, ensuring algorithmic reproducibility. Conclusion: The findings indicate that the computational pipeline successfully produced an auditable and reproducible leaderboard under the evaluated classroom-scale dataset, thereby ensuring procedural consistency. Although the top-three rankings remained stable under the tested weighting schemes, broader validation is recommended before large-scale deployment.
Persepsi dan Kepuasan Mahasiswa Baru Terhadap Pembelajaran Praktisi Pada Mata Kuliah Pengantar Manajemen Prodi Bisnis Digital Muhamad Afif Abdurrahim; Sabo Hermawan; Inkreswari Retno Hardini
PERFECT EDUCATION FAIRY Vol. 4 No. 3 (2026): PERFECT EDUCATION FAIRY (on progres)
Publisher : PT. Batari Edu Calya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/pef.v4i3.1590

Abstract

Proses transisi akademis dari pendidikan menengah menuju perguruan tinggi kerap menyajikan hambatan penyesuaian bagi mahasiswa tahun pertama, khususnya pada mata kuliah fondasi seperti Pengantar Manajemen. Melalui kebijakan Merdeka Belajar Kampus Merdeka (MBKM), Program Praktisi Mengajar dihadirkan untuk menjembatani teori akademis dengan realitas dunia kerja. Penelitian kuantitatif deskriptif berpendekatan survei evaluatif ini bertujuan menganalisis persepsi dan tingkat kepuasan mahasiswa baru terhadap skema pengajaran oleh dosen praktisi. Data dikumpulkan melalui kuesioner Skala Likert 5 tingkat pada sampel N = 85 mahasiswa semester awal Program Studi Bisnis Digital Universitas Negeri Jakarta. Evaluasi mencakup empat dimensi utama: kejelasan penyampaian, relevansi studi kasus, interaktivitas kelas, serta dampak terhadap pemahaman dan motivasi belajar. Hasil analisis deskriptif menunjukkan tingkat kepuasan secara keseluruhan berada pada kategori Sangat Tinggi dengan nilai rerata (Mean) 4,52 dari skala 5,00 (capaian 90,4%). Dimensi Relevansi Studi Kasus mencatatkan skor tertinggi (Mean = 4,68), diikuti oleh Dampak Pemahaman dan Motivasi (Mean = 4,60). Temuan ini mengonfirmasi bahwa keterlibatan profesional industri secara signifikan memperkuat pemahaman kontekstual, mengurangi beban kognitif, dan mempercepat adaptasi akademis mahasiswa baru. Penelitian ini memberikan batasan pedagogis serta saran praktis bagi pengelola program studi dalam merancang panduan instruksional kolaboratif.
Pengaruh Dimensi Big Five Personality Traits terhadap Online Impulse Buying pada Gen-Z Pengguna E-Commerce Shauqi Rizqulloh Mahmudi; Munawaroh Munawaroh; Sabo Hermawan
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 4 (2026): OKTOBER-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/d9117398

Abstract

This study examines the effects of the Big Five Personality Traits on online impulse buying among Generation Z e-commerce users in Jakarta. A quantitative survey was conducted involving 240 respondents selected through purposive sampling. The data were analyzed using Partial Least Squares–Structural Equation Modeling with SmartPLS 4. The findings indicate that agreeableness, extraversion, neuroticism, and openness to experience have positive and significant effects on online impulse buying, while conscientiousness has no significant effect. The R-square value of 0.628 indicates that the five personality dimensions explain 62.8% of the variance in online impulse buying. These findings confirm that social, emotional, and openness-related characteristics contribute to impulsive purchasing behavior among Generation Z consumers.