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All Journal Aiti: Jurnal Teknologi Informasi IEJST (Industrial Engineering Journal of the University of Sarjanawiyata Tamansiswa) Konstelasi: Konvergensi Teknologi dan Sistem Informasi GIAT: Teknologi untuk Masyarakat
Palangan, Citra Yayu'
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Pelatihan Penggunaan Fitur Microsoft Office Word sebagai Sarana Edukasi Untuk Meningkatkan Pengetahuan Siswa Kelas 4 di SD Marsudirini Yogyakarta Grace Trianita Tulus; Deanisa Presyela Ginting; Jesica Sampe Allo; Eva Fitriani Gultom; Viola Gabrie Virginia; Evi Yenti Yesika Nurani Aruan; Palangan, Citra Yayu'
GIAT : Teknologi untuk Masyarakat Vol. 2 No. 2 (2023): November 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v2i2.7203

Abstract

Pandemi COVID-19 telah mengubah sektor pendidikan, memaksa peralihan dari pembelajaran tatap muka menjadi jarak jauh. Teknologi menjadi penting, termasuk penggunaan Microsoft Word untuk tugas sekolah. Namun, banyak fitur penting yang belum diajarkan di sekolah, sehingga efisiensi dan efektivitas tugas siswa terbatas. Oleh karena itu, pelatihan penggunaan Microsoft Word bagi siswa sangat dibutuhkan. Tujuan pengabdian ini adalah untuk menyelenggarakan pelatihan tersebut, dengan menyajikan materi tentang fitur Microsoft Word melalui modul pembelajaran dan pengajaran langsung. Metode yang digunakan meliputi perencanaan melalui survei ke SD Marsudirini, persiapan dengan penyusunan modul dan persiapan kebutuhan, pelaksanaan pengabdian, dan evaluasi untuk perbaikan di masa depan. Hasilnya, diharapkan siswa kelas 4 SD Marsudirini Yogyakarta dapat memahami fitur Microsoft Word dalam mengerjakan tugas sekolah.
Analisis harapan UMKM terhadap program e-commerce Dinas Koperasi dan UMKM DIY (Pendekatan studi kualitatif) Palangan, Citra Yayu'
AITI Vol 21 No 1 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i1.72-81

Abstract

This study examines the expectations of MSMEs regarding e-commerce programs implemented by Dinas Koperasi dan UMKM DIY. MSME expectations were analyzed using the open-coding method with the QDA Miner Lite software. In total, 59 data on expectations were analyzed and categorized into 14 expectation codes. Subsequently, the researcher selected the top three expectations from the analysis of the codes. The study's findings indicate that the three main expectations of MSMEs are training and mentorship programs, government support for marketing MSME products, and government funding support.
Factors Influencing ChatGPT Adoption by Generation Z Students in Higher Education: Enhancing Academic Activities in Indonesia Palangan, Citra Yayu'; Frederik, Raymond
INDUSTRIAL ENGINEERING JOURNAL of the UNIVERSITY of SARJANAWIYATA TAMANSISWA Vol 8 No 2 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/iejst.v8i2.0240203

Abstract

his research investigates the factors influencing Gen Z students' adoption of ChatGPT in higher education to enhance academic productivity. It uses the Technology Acceptance Model (TAM) framework as a fundamental theory to predict the acceptance of new technology, which consists of Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) as main factors. Furthermore, this research adds two additional factors: Social Influence (SI) and Competitive Pressure (CP). Therefore, this research uses four hypotheses as potential factors influencing ChatGPT adoption and includes TAM, UTAUT and TOE as the theory of the theoretical model. As a result, it provides a conceptual model and needs validation through future research involving specific Gen Z students in higher education. This research recommends using a population for all students who have adopted ChatGPT in Indonesia.
Analisis Engagement konten Akun Instagram Universitas Atma Jaya Yogyakarta (@uajy) menggunakan Mixed Methods Wiatantri, Chaila Zefanya; Siregar, Fortuna Natalina; Sarumpaet, Grace Carolina; Christina, Vania Bella; Palangan, Citra Yayu'
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 101 No. 101 (2026): Special Issue Seminar Konstelasi Bali
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v101i101.14140

Abstract

Abstrak. Penelitian ini bertujuan menganalisis tingkat engagement dan persepsi mahasiswa terhadap konten media sosial pada akun Instagram resmi Universitas Atma Jaya Yogyakarta (@uajy) dalam meningkatkan keterlibatan mahasiswa. Pendekatan mixed methods digunakan dengan mengombinasikan analisis kuantitatif metrik interaksi (likes, komentar, dan bagikan) serta wawancara mendalam dengan mahasiswa pengikut Instagram. Sebanyak 837 unggahan periode 2023–2025 dianalisis dan dikelompokkan ke dalam tiga kategori: prestasi, motivasi, serta berita dan informasi kampus. Hasil menunjukkan bahwa kategori berita kampus mendominasi frekuensi unggahan, sedangkan konten prestasi non-akademik menghasilkan tingkat engagement tertinggi. Konten berbasis foto memperoleh rata-rata interaksi lebih tinggi dibandingkan video. Secara kualitatif, mahasiswa menilai akun cukup informatif, visualnya menarik, dan bahasanya mudah dipahami, namun perlu peningkatan pada ketepatan waktu publikasi dan interaktivitas. Temuan ini menegaskan pentingnya kombinasi konten informatif, inspiratif, dan apresiatif untuk memperkuat komunikasi digital universitas serta menjadi dasar perancangan strategi konten yang lebih variatif dan berbasis data. Kata kunci: media sosial, Instagram, engagement mahasiswa, mixed methods, UAJY Abstract. This study analyzes engagement levels and student perception of social media content on the official Instagram account of Universitas Atma Jaya Yogyakarta (@uajy). A mixed-methods approach was applied by combining quantitative analysis of interaction metrics (likes, comments, and shares) with in-depth interviews involving student followers of Instagram. A total of 837 posts published between 2023 and 2025 were categorized into three content types: achievements, motivational posts, and campus news and information. The results indicate that campus news dominated posting frequency, while non-academic achievement content generated the highest engagement levels. Photo-based posts achieved slightly higher average interactions than videos. Qualitative findings reveal that students perceive the account as informative, visually appealing, and easy to understand, although improvements are needed in posting timeliness and interactivity. Overall, combining informative, inspirational, and appreciative content is essential to strengthen digital communication and to support the development of more data-driven and engaging university social media strategies. Keywords: social media, Instagram, student engagement, mixed methods, UAJY
Co-Authors Christina, Vania Bella Deanisa Presyela Ginting Eva Fitriani Gultom Evi Yenti Yesika Nurani Aruan Frederik, Raymond Grace Trianita Tulus Jesica Sampe Allo Sarumpaet, Grace Carolina Siregar, Fortuna Natalina Viola Gabrie Virginia Wiatantri, Chaila Zefanya