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All Journal Jurnal Matematika EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Communicatus: Jurnal Ilmu Komunikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Andragogi: Jurnal Diklat Teknis Pendidikan dan Keagamaan EDUKATIF : JURNAL ILMU PENDIDIKAN Indonesian Journal of Electrical Engineering and Computer Science G-Tech : Jurnal Teknologi Terapan Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Riset Pembelajaran Matematika Sekolah Jurnal Statistika dan Aplikasinya Jurnal Pendidikan Annals of Mathematical Modeling Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Wawasan: Jurnal Kediklatan Balai Diklat Keagamaan Jakarta Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Kewarganegaraan Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Patikala As-Sidanah : Jurnal Pengabdian Masyarakat Indonesian Community Journal AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Jurnal Natural
Selly Anastassia Amellia Kharis
Mathematics Department, Faculty Of Science And Technology, Universitas Terbuka, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Analisis Kinerja Model CNN-LSTM Berbasis Optical Character Recognition untuk Ekstraksi Informasi e-KTP Berdasarkan Kategori Teks Fauzan Ihza Fajar; Selly Anastassia Amellia Kharis; Asmara Iriani Tarigan
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.37593

Abstract

Optical Character Recognition (OCR) technology plays an important role in automating information extraction from identity documents such as the Electronic Identity Card (e-KTP). However, recognizing long text sequences and handling complex character variations remain significant challenges. These issues can lead to high error rates. This study aims to address these limitations by exploring a deep learning–based OCR model that integrates Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Connectionist Temporal Classification (CTC) in an end-to-end framework without explicit character segmentation. CNN is employed to extract visual features, LSTM captures sequential dependencies, and CTC enables flexible alignment between input images and output text. The main contribution of this study lies in analysing the performance of a CNN-LSTM model with CTC in extracting e-KTP information across text categories with different complexity levels, namely Date and Place of Birth (TTL), name, and national identification number (NIK). Performance is evaluated using the Character Error Rate (CER). The results show that the model achieves the best performance on TTL with a CER of 0.84%, followed by NIK at 1.29%, and Name at 4.33% indicating higher difficulty in recognizing more complex text patterns. These findings demonstrate that model performance is influenced by text characteristics, particularly variability and sequence length. Overall, the proposed approach is effective for end-to-end e-KTP information extraction and provides insights for developing more adaptive OCR models.
Penguatan Literasi Numerasi melalui Kegiatan Pesantren Kilat pada Siswa Sekolah Dasar di Rawamangun, Jakarta Timur Selly Anastassia Amellia Kharis; Sri Maulidia Permatasari; Sajida Humaira; Melisa Arisanty; Sri Sukatmi; Moh. Muzammil; Muhammad Firman Karim; Nurmala Pangaribuan
I-Com: Indonesian Community Journal Vol 6 No 2 (2026): I-Com: Indonesian Community Journal (Juni 2026)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v6i2.9589

Abstract

Numeracy literacy is a fundamental competency that must be possessed by every child to support daily activities. It encompasses not only arithmetic skills but also the ability to understand, analyse, and apply mathematical concepts in real-life contexts. However, many students still show low interest and experience difficulties in relating numerical concepts to everyday problems. One effort to strengthen numeracy literacy is through pesantren kilat activities designed in an educational and contextual manner. This program integrates the reinforcement of religious values with mathematics numeracy learning. The objective of this activity is to improve numeracy literacy among elementary school students in Rawamangun, East Jakarta. The method employed was an educational game-based approach emphasizing active participation. Quantitatively, the average score of participants increased from 14.00 to 15.38, and paired sample t-test results indicated a significant improvement after the activity. Therefore, pesantren kilat can serve as effective alternative learning medium for enhancing numeracy literacy.
Creative Digital Literacy in Reducing War Flaming on Social Media Melisa Arisanty; Yasir Riady; Selly Anastassia Amellia Kharis; Sri Sukatmi; Edward Zubir; Muhammad Ajmal
Communicatus: Jurnal Ilmu komunikasi Vol. 8 No. 2. December (2024): Communicatus: Jurnal Ilmu Komunikasi
Publisher : Fakultas Dakwah dan Komunikasi UIN Sunan Gunung Djati Bandung Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/cjik.v8i2.40154

Abstract

War flaming constitutes one of the perilous practices prevalent on social media platforms. This might result in discomfort associated with social media usage, leading to melancholy, anxiety, excessive worry, and disturbances in mental health. War Flaming has become a prominent issue that necessitates enhancing digital literacy on social media platforms. This study employed a qualitative methodology, with data collected through observation, in-depth interviews, and Focus Group Discussions (FGD). Informants were selected using standard case sampling. The selected informants include the Directorate of IKP from the Ministry of Communication and Information of the Republic of Indonesia, SiBerkreasi, digital technology and culture experts, and specialists in social campaigns. The findings indicated that digital literacy building aimed at mitigating war flaming on social media involved creating innovative social campaigns through pertinent language and a human-centric literacy approach. This strategy seeks to engage Generation Z, empowering youth communities as proactive advocates against hoax narratives on social media. It emphasizes collaboration among governmental entities, community leaders, and journalists within the anti-war flaming educational initiative, alongside the optimization of TikTok and Instagram for disseminating positive content, and partnerships with young influencers to promote the significance of digital reputation. Creative digital literacy, facilitated by social campaigns and multisectoral cooperation, effectively mitigates war flaming on social media, enhances Gen Z awareness, and promotes mental health through affirmative material.
The Phenomenon of War Flaming on Writing in Social Media: The Effect of Echo Chamber and Filter Bubble Algorithm in Digital Citizenship Melisa Arisanty; Yasir Riady; Sri Maulidia Permatasari; Selly Anastassia Amellia Kharis; Kamrin Mir; Muhammad Ajmal
Jurnal Kewarganegaraan Vol. 23 No. 1 (2026): March 2026
Publisher : Department of Pancasila and Civic Education, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jk.v23i1.70341

Abstract

Echo Chamber and Filter Bubble are two subjects now under extensive discussion. The growing prevalence of social media in recent years underscores the potential effects of the Echo Chamber and Filter Bubble phenomena. One of them is the conflict raging on social media. The attributes of the Echo Chamber and Filter Bubble can influence the prevalence of war flame on social media. This study aimed to examine the impact of the Echo Chamber and Filter Bubble on War Flaming. This study used a quantitative methodology to investigate the relationship among the three ideas. The sample was chosen through selective sampling, comprising 100 respondents identified as flame perpetrators. The study's results indicate a significant correlation between Echo Chamber and Filter Bubble phenomena and the prevalence of war flame on social media. This study demonstrates that Echo Chamber and Filter Bubble significantly influence War Flaming. Echo Chamber (X1) and Filter Bubble (X2) collectively account for 41.8% of the variance in War Flaming (Y). The results indicate that preventing war escalation is challenging due to the existence of echo chambers and filter bubbles, unless stringent content restriction policies are implemented by social media companies and enhanced self-awareness is cultivated from an early age through familial, social, and educational influences.
Penguatan Budaya Digital Berkarakter melalui Metode Permainan pada Siswa Sekolah Dasar di Rawamangun, Jakarta Timur Selly Anastassia Amellia Kharis; Sri Maulidia Permatasari; Sajida Humaira; Melisa Arisanty; Sri Sukatmi; Moh Muzammil; Muhammad Firman Karim; Nurmala Pangaribuan
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 2 (2026): Abdira, April
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i2.1961

Abstract

Character-based digital culture is a fundamental competency that every child should posses, particularly in responding to the rapid development of digital technology. It serves as an important foundation for shaping national identitiy and guiding the attitudes of younger generations in addressing various issues amid globalization and digital transformation. One effort to strengthen this culture is through game-based activities designed in an educational and contextual manner. These activities integrate national character values into the use of the digital world. The objective of this activity is to enhance character-based digital culture among elementary school students through a game-based approach. The participants were elementary school students in Rawamangun, East Jakarta. The method employed is an educational and game-based training approach. The evaluation results indicate an improvement in participants’ understanding of character-based digital culture. Therefore, games-based activities can serve as an effective alternative learning model for fostering national character values in digital interactions.
Mapping Generational Digital Literacy and Internet Usage Patterns in Open and Distance Learning: A K-Means Clustering Analysis Selly Anastassia Amellia Kharis; Melisa Arisanty; Anton Robiansyah; Arman Haqqi Anna Zili
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 12 No. 3 (2026): September (IN PRESS)
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v12i3.20354

Abstract

This study aims to map digital literacy and internet-use patterns among multigenerational new students in open and distance learning (ODL) and to determine whether the resulting profiles are differentiated solely by generation or also by occupational and behavioral characteristics. A quantitative exploratory design with K-Means cluster analysis was applied to data from 4,371 new students at Universitas Terbuka Jakarta. The analysis integrated generational profile, occupation, internet-access time, dominant online activity, preferred social-media platform, daily social-media duration, and digital-literacy classification. The Elbow Method indicated a five-cluster solution. The cluster represented 17.00%, 24.94%, 18.39%, 9.40%, and 30.27% of respondents, respectively. Overall, 62.18% of students were classified as High and 35.69% as Very High in digital literacy, while only 2.13% were Satisfactory and none were Low or Very Low. Cluster 3, dominated by Generation Y private employees, contained 97.01% Very High-literacy students, whereas Cluster 5, also dominated by Generation Y private employees, contained 98.49% High-literacy students. Generation Z appeared across three clusters with distinct access timed and online activities. These findings show that generation alone does not adequately explain digital-literacy patterns in ODL; occupational background and digital-use behavior provide additional differentiation. The results supports cluster-based digital-literacy support, flexible learner services, and targeted skill development in ODL.
Co-Authors AA Sudharmawan, AA Agustiani Putri Ajmal, Muhammad Anna Zili, Arman Haqqi ARMAN HAQQI ANNA ZILI Arman Haqqi Anna Zili Arman Haqqi Anna Zili Asmara Iriani Tarigan Asmara Iriani Tarigan Asmara Iriani Tarigan Bramastary, Aurelly Meidy Bustamam, Alhadi Danial, T Ahmad Darsih Idayani Darsih Idayani Darwin Hartono Derick Hendri Devvi Sarwinda Dian Lestari Dwi Antari Wijayanti Edward Zubir Edward Zubir Eka Wirajuang Daurrohmah Elin Herlinawati Elin Herlinawati Endang Wahyuningrum Endy Grade Tampubolon Fajar, Fauzan Ihza Fatia Fatimah Fauzan Ihza Fajar Fauzan Ihza Fajar Febri Maulana Hasoloan Siregar Hasoloan Siregar Heny Kurniawati Heny Kurniawati Hertono, Gatot Fatwanto Hirawati Lubis Indriyani, Annisa Irawan, Sam Rizky Kamrin Mir Kusriyah, Siti Martinasari, Made Diyah Putri Maulana Malik, Maulana Maulidia Permatasari, Sri Melisa Arisanty Melisa Arisanty Moh Muzammil Moh. Muzammil Muhammad Ajmal Muhammad Ajmal Muhammad Firman Karim Muhammad Firman Karim NadyaAsanul Husna Nur Izani Maulani Nur Mahin Nurmala Pangaribuan Nurmala Pangaribuan Nuryaningrum, Wahyu Nyoman A. Wibawa Pesi Suryani Putri, Agustiani Qonitah, Laity Riady, Yasir Robiansyah, Anton Robiansyah, Anton Sajida Humaira Sajida Humaira Saputra, Dimas Septian Siti Umamah Naili Muna Sri Maulidia Permatasari Sri Maulidia Permatasari Sukatmi, Sri Sumartono Sumartono Sumartono Tarigan, Asmara Iriani Tri Murdiyanto Tri Wijayanti Septiarini Wahyu Hidayat Wiradharma, Gunawan Yasir Riady Yasir Riady Yumiati Zubir, Edwar Zubir, Edward