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All Journal JPM (Jurnal Pemberdayaan Masyarakat) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat
Citra, Erin Eka
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Pelatihan Foto dan Video Editing dengan Smartphone untuk Ketrampilan Personal bagi Siswa Panti Asuhan Darul Ma'aruf Amelia, Dhella; Muharmi, Yulya; Citra, Erin Eka; Ruswita, Istiana; Sawitri, Riza
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 4 No 6 (2024): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v4i6.816

Abstract

Kegiatan pengabdian masyarakat ini berfokus pada pelatihan keterampilan foto dan video editing menggunakan smartphone untuk siswa di Panti Asuhan Darul Ma'aruf. Program ini dilatarbelakangi oleh kebutuhan akan keterampilan digital yang semakin relevan dalam kehidupan sehari-hari maupun di dunia kerja. Tujuan dari pelatihan ini adalah untuk meningkatkan keterampilan personal siswa dalam mengedit foto dan video sebagai bekal kemandirian di era digital. Metode yang digunakan dalam pelatihan ini meliputi pemaparan materi dasar fotografi dan editing, demonstrasi penggunaan aplikasi editing yang tersedia di smartphone, serta praktik langsung dengan bimbingan. Data dikumpulkan melalui observasi selama pelatihan dan evaluasi keterampilan awal serta akhir dari para peserta. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam pemahaman peserta terkait teknik pengambilan gambar dan penguasaan dasar editing foto dan video. Berdasarkan hasil ini, dapat disimpulkan bahwa pelatihan ini efektif dalam memberikan keterampilan dasar yang bermanfaat bagi siswa panti asuhan. Diharapkan keterampilan ini dapat membuka peluang baru bagi mereka, baik untuk dokumentasi personal maupun sebagai bekal keahlian untuk masa depan.
nalisis Sentimen Berbasis Aspek Ulasan Aplikasi Ruangguru Pada Platform Android dan iOS menggunakan BiLSTM Mutmainah, Siti; Citra, Erin Eka; Lorosae, Teguh Ansyor; Fathir, Fathir
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7475

Abstract

Analysis of user reviews can provide valuable insights for app developers in improving quality, but conventional sentiment analysis only categorizes sentiment in general terms. Aspect-based Sentiment Analysis (ABSA) is a method that can be used to extract specific opinions from various aspects of user reviews. This study compares ABSA on user reviews of Ruangguru app on Android and iOS platforms. Review data was collected from Google Play Store and Apple App Store, processed, and classified into sentiment polarity using deep learning models such as BiLSTM with Word2Vec. The analysis was conducted to find out the aspects talked about by users and the sentiment associated with each aspect. The evaluation results show that the BiLSTM model with Word2Vec features performs well on the sentiment analysis task achieving 84% accuracy. In the aspect extraction task, the model performs very well with accuracy, precision, recall, and F1 Score values of 97%. These results show that the combination of BiLSTM and Word2Vec is an effective approach in understanding user opinions and preferences from Ruangguru app review text data and has the potential to be applied in the development of automated opinion analysis systems. Price aspect extraction results are the most dominant topic discussed on both platforms, followed by features and materials. Positive sentiment towards the price aspect dominates, but there is also a significant proportion of negative sentiment, especially on the Android platform.
Peningkatan Kompetensi Guru Teknologi Informasi di Lampung Selatan melalui Pelatihan Prompt Kecerdasan Buatan Sholehurrohman, Ridho; Ilman, Igit Sabda; Pambudi, Agung; Muhaqiqin; Afdhaludin, Muhammad; Citra, Erin Eka; Badiwibowo, Sandi
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.12801

Abstract

The rapid development of artificial intelligence (AI) technology has had a significant impact on the education sector, especially for Information and Communication Technology (ICT) teachers. Mastery of AI skills, particularly through prompt engineering techniques, is essential for teachers to create relevant, innovative, and curriculum-aligned questions and teaching materials. This community service activity aims to enhance the competencies of ICT teachers in Lampung Selatan, particularly at SMA Negeri 1 Kalianda and several other schools, in utilizing AI to support and enrich classroom learning. The main issue faced by the partner, the ICT teachers, is the lack of mastery of current technologies and limited knowledge of AI application in teaching. The implementation method includes literature study, face-to-face training, and evaluation of the activity's results. The training material focuses on introducing the basic concepts of AI, applying prompt engineering techniques, and using prompts to create AI-based questions that align with the school's learning needs. Evaluation results show that 89.4% of participants successfully mastered prompt engineering techniques and were able to implement them in creating questions and developing more effective teaching materials. This activity is expected to drive improvements in the quality of learning and support the sustainable implementation of AI in schools in Lampung Selatan.
Co-Authors Afdhaludin, Muhammad Agung Pambudi Amelia, Dhella Badiwibowo, Sandi Fathir Fathir Ilman, Igit Sabda Istiana Ruswita Lorosae, Teguh Ansyor Muhaqiqin Sawitri, Riza Sholehurrohman, Ridho Siti Mutmainah Yulya Muharmi