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Fenomena Sosial Pernikahan Dini Di Desa Tlagasana Kecamatan Watukumpul Kabupaten Pemalang Wahyu M., Dinda Rahmah; Amelia, Surya; Aisya, Luthfia Rihadatul; Aulia, Fatwa; Annisa, Fadya; Nabila, Shivaun; Subhi, Muhammad Rifa’i
Jurnal Ilmu Sosial Politik dan Humaniora (JISORA) Vol 7 No 2 (2024): Jurnal Ilmu Sosial Politik dan Humaniora
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik - Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36624/jisora.v7i2.162

Early marriage is still considered normal in Tlagasana village, Watukumpul sub-district, early marriage has become a socio-cultural phenomenon that has a major influence on the lives of Indonesian people. In Tlagasana village, marriage has become commonplace or commonplace. Therefore, this study aims to examine the causes and impacts that occur as a result of early marriage. The factors that cause the phenomenon of early marriage are the occurrence of school dropouts making children in Tlagasana village not go to school and choose to get married, then the factors that cause early marriage are the thoughts of parents of children in Tlagasana village, then the environmental factor because in Tlagasana village there are many early marriage phenomena therefore early marriage has become commonplace in Tlagasana village. Keywords: phenomenon; early marriage; Tlagasana village

Efektivitas Media Interaktif Berbasis Articulate Storyline 3 Materi Ekosistem pada Siswa Kelas V Sekolah Dasar Aulia, Fatwa; Sulistiawati, Siti; Anjab Munjaji, Muhammad; Heryadi, Yadi
Jurnal Inovasi dan Teknologi Pendidikan Vol. 3 No. 3 (2025): Jurnal Inovasi dan Teknologi Pendidikan
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jurinotep.v3i3.125

This study aims to explore the effectiveness of interactive media based on Articulate Storyline 3 in improving students' understanding of the concept of ecosystems in Natural and Social Sciences (IPAS) learning in grade V of Pasir Keong State Elementary School. The research background is based on the low level of students' understanding of the concept of ecosystems, the dominance of conventional learning methods, and the lack of optimal use of interactive digital media in the classroom. This study uses a descriptive qualitative approach, data is collected through observation, questionnaires, interviews, and documentation involving teachers and students as participants. Data analysis is carried out through data reduction, data presentation, and conclusion drawing and verification. The results of the study show that interactive media based on Articulate Storyline 3 is able to increase student involvement, enthusiasm, and understanding in learning ecosystem materials. Interactivity in this medium provides an effective learning stimulus, making it easier for students to understand abstract concepts such as food chains and ecosystem balance. This study concludes that Articulate Storyline 3 is a relevant, effective, and adaptive learning medium to support the 21st century learning process that demands innovation and technology-based approaches

Rancang Bangun Aplikasi Mojo Spirit Festival Berbasis Web Di Kota Mojokerto Menggunakan Metode Waterfall Aulia, Fatwa; Yusuf, Dianni; Arum Andary Ratri
Software Development, Digital Business Intelligence, and Computer Engineering Vol. 2 No. 02 (2024): SESSION (MARET)
Publisher : Politeknik Negeri Banyuwangi Jl. Raya Jember km. 13 Labanasem, Kabat, Banyuwangi, Jawa Timur (68461) Telp. (0333) 636780

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57203/session.v2i02.2024.53-60

Pesatnya kemajuan teknologi, membuat banyak instansi atau perusahaan memanfaatkan teknologi sebagai salah satu sarana utama dalam meningkatkan efisiensi operasional. Mojo Spirit Festival merupakan event pemerintah Kota Mojokerto yang pertama kali diselenggarakan pada tanggal 24-27 November 2023. Namun, dalam menjalankan kegiatan selama 4 hari tersebut, ditemukan permasalahan terkait strategi promosi dan pendaftaran yang efektif untuk meningkatkan minat serta partisipasi masyarakat. Dalam membangun aplikasi berbasis web, menggunakan metode waterfall. Metode waterfall merupakan model membangun perangkat lunak yang dilakukan secara linear atau berurutan pada setiap tahapannya. Selain itu juga diperlukan proses perancangan Use Case dan Entity Relationship Diagram (ERD) untuk merancang struktur dan fungsionalitas sistem secara lebih terperinci dan terorganisir. Aplikasi ini dibangun menggunakan framework Codeigniter dengan MySQL sebagai manajemen basis data. Adapun pengujian menggunakan metode black box testing untuk memastikan fungsional, di mana sistem diuji tanpa memperhatikan struktur internalnya. Selama gelaran Mojo Spirit Festival, aplikasi ini telah digunakan dan membantu para peserta lomba dan pengunjung event yang dapat mendaftar dengan mudah melalui aplikasi.

Analysis of Indonesian Netizen Sentiment Towards the Government's Campaign on the Use of Artificial Intelligence Using the Naive Bayes Algorithm Nasution, Salsabila; Berutu, Asro Hayati; Aulia, Fatwa
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.28

The development of artificial intelligence (AI) has encouraged the Indonesian government to adopt this technology in various public service sectors. However, the use of AI has received mixed responses from the public, particularly on social media. This study aims to analyze Indonesian netizen sentiment towards the government's AI campaign using the Naive Bayes algorithm. Data was collected from the Twitter platform and analyzed through preprocessing, sentiment classification, and model evaluation. The results show that the majority of netizen sentiment is negative, with concerns related to unfairness for creative workers, a lack of regulation, and the use of AI for political gain. This research is expected to provide input for the government in designing more ethical and inclusive AI adoption policies.

Pengembangan Kemampuan Berbahasa Anak Melalui Aktivitas Drama Mini Di Kelas Tinggi Sekolah Dasar Maulida, Tasya; Aulia, Fatwa; Selviana, Vira; Ratnasari, Dine Trio
Jurnal Penelitian Ilmu Pendidikan Indonesia Vol. 4 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpion.v4i4.772

Penelitian ini bertujuan untuk mengembangkan kemampuan berbahasa siswa sekolah dasar melalui penerapan aktivitas drama mini pada pembelajaran Bahasa Indonesia di kelas IV SDN 2 Curugpanjang. Metode penelitian menggunakan pendekatan kualitatif deskriptif dengan teknik observasi, tes performatif, dan dokumentasi untuk memperoleh gambaran mendalam mengenai proses serta dampak pembelajaran. Hasil penelitian menunjukkan bahwa drama mini dapat meningkatkan kemampuan berbahasa siswa melalui latihan dialog, penggunaan intonasi, penguatan ekspresi, serta keterlibatan aktif dalam pementasan. Siswa tampak lebih percaya diri, mampu menyampaikan gagasan secara runtut, dan menunjukkan peningkatan keterampilan berbicara secara signifikan dibanding sebelum kegiatan drama mini diterapkan. Selain itu, interaksi selama proses latihan turut membangun kerja sama dan keberanian siswa dalam berkomunikasi di depan publik. Temuan ini menegaskan bahwa drama mini merupakan strategi pembelajaran yang efektif dan relevan untuk mengoptimalkan kemampuan berbahasa lisan siswa sekaligus memperkuat keaktifan mereka dalam pembelajaran Bahasa Indonesia. Dengan demikian, drama mini dapat menjadi alternatif metode pembelajaran kreatif yang mendukung tujuan pendidikan di sekolah dasar

Penerapan Metode Segmentasi Warna HSV untuk Deteksi Objek Berbasis Warna pada Citra Digital Rizka Rizka; Nasution, Salsabila; Aulia, Fatwa; Supiyandi Supiyandi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.706

This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, analyzing pixels, detecting contours, and visualizing results using bounding boxes. The results show that the HSV method effectively detects objects, separates them from the background, and provides quantitative information, including pixel count, area percentage, and average HSV values for each color. Red, yellow, green, orange, purple, brown, and blue colors were successfully segmented, displaying clear and accurate objects, both for single and multiple objects, under various sizes and lighting conditions. These findings confirm that the HSV method is a simple, fast, and effective approach for color-based image analysis.

Penerapan Metode Segmentasi Warna HSV untuk Deteksi Objek Berbasis Warna pada Citra Digital Rizka Rizka; Nasution, Salsabila; Aulia, Fatwa; Supiyandi Supiyandi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.706

This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, analyzing pixels, detecting contours, and visualizing results using bounding boxes. The results show that the HSV method effectively detects objects, separates them from the background, and provides quantitative information, including pixel count, area percentage, and average HSV values for each color. Red, yellow, green, orange, purple, brown, and blue colors were successfully segmented, displaying clear and accurate objects, both for single and multiple objects, under various sizes and lighting conditions. These findings confirm that the HSV method is a simple, fast, and effective approach for color-based image analysis.

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