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All Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming sudo Jurnal Teknik Informatika JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal REP (Riset Ekonomi Pembangunan)
Nurfadilah, Annisa
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Religion Humanities Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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MODERNISASI PEMBELAJARAN FISIKA: MGMP IPA CILEGON INTEGRASIKAN DEEP LEARNING DAN PHET DALAM MATERI GETARAN, GELOMBANG, DAN BUNYI Guntara, Yudi; Khairunnisa, Khairunnisa; Septiani, Nia; Listiyani, Hanum; Nurfadilah, Annisa; Muna, Chynta Nadya; Dewi, Sharani; Hakim, Hafied Rahman
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 6 No 2 (2025): Jurnal Pengabdian Pendidikan Masyarakat (JPPM), Vol 6 No 2 (Oktober 2025)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v6i2.3431

Abstract

Physics is often considered a challenging subject due to its abstract nature of matter and requires high visualization, especially on the topics of vibration, waves, sound, light, and optics. To overcome this, the Subject Teacher Meeting of Cilegon City Junior High School together with Physics Education lecturers FKIP Untirta held an innovative training that integrated the Deep Learning approach and PhET interactive simulation media. The training was carried out in two sessions at SMPN 5 and SMPN 1 Cilegon City involving 32 science teachers. Activities include identification of needs, delivery of contextual pedagogical materials, video playback of physics phenomena, PhET simulation practice, and interactive discussions. The results of the evaluation showed that 85–90% of participants experienced an increase in understanding of physics concepts and an interest in visual and exploratory learning methods. These findings indicate that the integration of Deep Learning and PhET can enrich physics learning to be more contextual, engaging, and aligned with 21st century competencies. This program is the first step towards the transformation of sustainable education with teachers as drivers of innovation.
THE ECONOMIC EVALUATION TO CIPARAGE COASTAL FISHING PORT SERVICES, KARAWANG REGENCY: CONSUMERS SIDES APPROACH Nurfadilah, Annisa; Dewi, Dian Ayunita Nugraheni Nurmala; Wibowo, Bambang Argo
Jurnal REP (Riset Ekonomi Pembangunan) Vol. 7 No. 2 (2022): October 2022
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rep.v7i2.209

Abstract

Karawang Regency has a fishing port with the status of a Coastal Fishing Port. Fishing Ports provide services to fishermen as users of the facilities available at the port. One kind of service is administrative service at the Fishing Port, this service is related to fishing operational activities. The purposes of this study were to analyze the fishermen's satisfaction level with fishing port services and to find out what services are considered important by fishermen. This study analyzed the Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) methods to measure fishermen's satisfaction. Based on the results of the study indicate that the assessment of satisfaction with services at the Ciparage Coastal Fishing Port is classified in the satisfied category. This is shown by the value of the Fisher Satisfaction Index, which is 76.565%. The service that has the highest value is the attributes of the facilities at the Fish Auction Place (TPI) and the attitude of the administration officers at the port. The conclusion of this condition should be maintained by the port, the suggestion from this research is that there is a need for an expansion of the pier facilities at the port so that it can accommodate a number of vessels to lean.
Pemberdayaan Literasi Keuangan Digital Anti-Toxic Untuk Menangkal Gaya Hidup Konsumtif di Era Media Sosial Di Desa Cibinuang Kabupaten Kuningan Syarifudin, Syahrul; Nurhayati, Neni; Martika, Lia Dwi; Samugra, Biru Dean; Nurfadilah, Annisa
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 9, No 1 (2026): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v9i1.9939

Abstract

Permasalahan utama yang dihadapi mitra adalah meningkatnya paparan konten media sosial yang mendorong perilaku konsumtif dan menormalisasi pola konsumsi berlebihan. Kondisi ini menegaskan pentingnya literasi keuangan digital yang berorientasi pada kemampuan kritis dalam mengenali konten toksik dan mengelola perilaku finansial secara rasional. Kegiatan pengabdian ini bertujuan meningkatkan literasi keuangan digital anti-toxic peserta agar mampu mengembangkan kontrol diri, kesadaran finansial, serta kemampuan evaluatif terhadap informasi ekonomi digital. Metode pelaksanaan meliputi penyuluhan, pelatihan, simulasi studi kasus, dan pendampingan berbasis praktik langsung. Kegiatan diikuti oleh 75 peserta yang terdiri atas mahasiswa dan pelaku UMKM di Desa Cibinuang, Kabupaten Kuningan, melalui tahapan pra-asesmen, edukasi, praktik analisis konten digital, dan evaluasi. Hasil kegiatan menunjukkan peningkatan pemahaman literasi keuangan digital, kemampuan mengidentifikasi konten konsumtif manipulatif, serta perubahan sikap dan perilaku finansial yang lebih selektif. Efektivitas program diukur melalui kombinasi indikator kuantitatif dan kualitatif, termasuk perbandingan hasil pre-test dan post-test serta observasi reflektif peserta. Secara keseluruhan, kegiatan memberikan dampak positif terhadap peningkatan kesadaran finansial dan ketahanan psikologis peserta terhadap pengaruh negatif media sosial. Implikasi kegiatan menunjukkan pentingnya replikasi program dan pengembangan modul literasi keuangan digital yang adaptif terhadap dinamika konten daring.
MODERNISASI PEMBELAJARAN FISIKA: MGMP IPA CILEGON INTEGRASIKAN DEEP LEARNING DAN PHET DALAM MATERI GETARAN, GELOMBANG, DAN BUNYI Guntara, Yudi; Khairunnisa, Khairunnisa; Septiani, Nia; Listiyani, Hanum; Nurfadilah, Annisa; Muna, Chynta Nadya; Dewi, Sharani; Hakim, Hafied Rahman
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 6 No 2 (2025): Jurnal Pengabdian Pendidikan Masyarakat (JPPM), Vol 6 No 2 (Oktober 2025)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v6i2.3431

Abstract

Physics is often considered a challenging subject due to its abstract nature of matter and requires high visualization, especially on the topics of vibration, waves, sound, light, and optics. To overcome this, the Subject Teacher Meeting of Cilegon City Junior High School together with Physics Education lecturers FKIP Untirta held an innovative training that integrated the Deep Learning approach and PhET interactive simulation media. The training was carried out in two sessions at SMPN 5 and SMPN 1 Cilegon City involving 32 science teachers. Activities include identification of needs, delivery of contextual pedagogical materials, video playback of physics phenomena, PhET simulation practice, and interactive discussions. The results of the evaluation showed that 85–90% of participants experienced an increase in understanding of physics concepts and an interest in visual and exploratory learning methods. These findings indicate that the integration of Deep Learning and PhET can enrich physics learning to be more contextual, engaging, and aligned with 21st century competencies. This program is the first step towards the transformation of sustainable education with teachers as drivers of innovation.
Sistem Klasifikasi Perubahan Lahan pada Ekosistem Pesisir Berbasis Deep Learning Menggunakan Citra Sentinel-2: Studi Kasus: Tanjung Tiram, Sulawesi Tenggara Nurfadilah, Annisa; Saputra, Rizal; Sarita, Muhammad Ihsan
sudo Jurnal Teknik Informatika Vol. 5 No. 1 (2026): Edisi Maret
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v5i1.1635

Abstract

Perubahan tutupan lahan pada ekosistem pesisir merupakan isu lingkungan global yang signifikan karena berdampak langsung terhadap fungsi ekologis dan keberlanjutan hayati. Tanjung Tiram, Sulawesi Tenggara, merupakan kawasan pesisir yang rentan terhadap degradasi akibat tekanan aktivitas antropogenik, sehingga memerlukan pendekatan pemantauan yang otomatis dan akurat. Penelitian ini mengembangkan sistem klasifikasi dan kuantifikasi perubahan tutupan lahan pesisir yang berfokus pada ekosistem mangrove, terumbu karang, dan padang lamun. Data utama menggunakan citra Sentinel-2 Level-2A yang diproses melalui Google Earth Engine, dengan penerapan arsitektur Deep Learning hybrid UNet–ResNet34 untuk melakukan segmentasi semantik tingkat piksel. Hasil penelitian menunjukkan kinerja klasifikasi yang kuat dengan nilai akurasi sebesar 84,31% untuk mangrove, 95,99% untuk terumbu karang, dan 89,41% untuk padang lamun. Kemampuan segmentasi model dinilai representatif dengan capaian Mean IoU sebesar 0,6124 secara keseluruhan. Analisis multi-temporal periode 2018–2025 mengungkapkan dinamika spasial yang signifikan, ditandai dengan peningkatan luas mangrove sebesar 35,53% (95,20 ha), namun terjadi penurunan luas terumbu karang dan padang lamun masing-masing sebesar 32,39% (29,20 ha) dan 26,68% (98,76 ha). Temuan ini menegaskan bahwa integrasi Sentinel-2 dan Deep Learning mampu menyediakan informasi spasial yang andal untuk mendukung pengelolaan pesisir berkelanjutan. Sistem ini dapat diadopsi oleh pemerintah daerah sebagai platform pemantauan ekosistem pesisir secara real-time guna mendukung pengambilan keputusan konservasi yang responsif dan berbasis data.
Co-Authors Bambang Argo Wibowo Dewi, Sharani Dian Ayunita Nugraheni Nurmala Dewi Guntara, Yudi Hakim, Hafied Rahman Khairunnisa Khairunnisa Listiyani, Hanum Martika, Lia Dwi Muna, Chynta Nadya Neni Nurhayati Samugra, Biru Dean Saputra, Rizal Sarita, Muhammad Ihsan Septiani, Nia Syarifudin, Syahrul