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All Journal Bulletin of Scientific Contribution : Geology Phi : Jurnal Pendidikan Fisika dan Terapan Fon: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Spektra Jurnal EMT KITA Jurnal Penelitian Pendidikan IPA (JPPIPA) Spektra: Jurnal Fisika dan Aplikasinya Maslahah: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru Indonesian Journal of Elementary Education (IJEE) Bulletin of Management and Business Jurnal Penelitian Ilmu Pendidikan Indonesia Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS English Education, Linguistics and Literature Journal Journal of Economic Empowerment Strategy (JEES) Jurnal Geosaintek
Dini Fitriani, Dini
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IMPLEMENTASI KURIKULUM MERDEKA UNTUK MENINGKATKAN KOMPETENSI LITERASI DIGITAL GURU SMP DI KABUPATEN TANGERANG BANTEN Fitriani, Dini; Selnistia Hidayani; Purnama Rika Perdana; Saeful Amri
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 6 (2024): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i6.1503

Abstract

Guru berkedudukan sebagai pelaksana teknis fungsional di bidang pembelajaran atau bimbingan dan juga tugas tertentu. Jabatan fungsional guru adalah jabatan tingkat keahlian termasuk dalam semua rumpun pendidikan. dengan hal tersebut literasi digital sangatlah penting untuk dikuasai semua guru. dalam implementasi kurikulum merdeka di sekolah. Literasi digital menghadapi berbagai tantangan, termasuk keterbatasan akses, keterampilan, dan pemahaman akan pentingnya literasi digital. Oleh karena itu, diperlukan langkah-langkah untuk memperkuat literasi digital guru dalam implementasi kurikulum merdeka. Artikel ini bertujuan untuk melihat urgensi dan meningkatkan kompetensi guru dalam literasi digital melalui implementasi kurikulum merdeka, serta memberikan rekomendasi konstruktif untuk mengembangkan literasi digital guru. Beberapa peluang dalam penguatan literasi digital meliputi mempermudah akses informasi, meningkatkan kualitas pembelajaran dengan metode yang bervariasi dan menarik, serta mengembangkan keterampilan kritis seperti berpikir, berkolaborasi, berkomunikasi, dan berkreasi. Disisi lain, beberapa tantangan dalam penguatan literasi digital melalui yaitu keterbatasan akses, kurangnya keterampilan dasar dalam mengoperasikan perangkat digital, dan ketidakpahaman tentang manfaat serta dampak penggunaan platform digital dalam proses pembelajaran. Beberapa masih menganggap platform digital hanya sebagai alat hiburan atau sarana komunikasi, bukan sebagai alat pembelajaran yang serius. Upaya meningkatkan literasi digital diharapkan dapat membantu guru mencapai profesionalisme yang lebih tinggi dengan pemahaman yang mendalam mengenai esensi kurikulum merdeka, kompetensi yang diperlukan oleh pendidik, dan pentingnya literasi digital. Dengan demikian, guru dapat menguasai literasi digital dengan baik, menjalankan tugas mereka secara optimal dan profesional, dan siap menghadapi tantangan pendidikan sesuai dengan kurikulum merdeka.
PEMETAAN BATIMETRI DAN SIMULASI KENAIKAN MUKA AIR DI SITU CISANTI MENGGUNAKAN DUAL BEAM SONAR Ramadan, Ananda Zikri; Ramadhan, Fadhel; Sihombing, Feronika Roulitua; Rahman, Jafar Shidqur; Hutabalian, May Angelia; Rohman, Muhammad Alkuansinta; Rizki, Muhammad Ilham; Carrisa, Refi; Hendrayani, Riska; Hanifah, Shofie Dzakia; Fitriani, Dini; Kirana, Kartika Hajar
Bulletin of Scientific Contribution Vol 21, No 2 (2023): Bulletin of Scientific Contribution : GEOLOGY
Publisher : Fakultas Teknik Geologi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/bsc.v21i2.47538

Abstract

Situ Cisanti merupakan salah satu tempat pariwisata dan edukasi yang terletak di Desa Tarumajaya, Kecamatan Kertasari, Kabupaten Bandung. Situ Cisanti memiliki tujuh mata air yang berperan besar bagi masyarakat sekitar sebagai sumber air. Penelitian ini memetakan topografi dasar perairan melalui peta batimetri serta melakukan simulasi perubahan muka air Situ Cisanti. Akuisisi dilakukan menggunakan instrumen Deeper Smart Sonar Pro+ dengan bantuan aplikasi Fish Deeper untuk visualisasi data. Hasil dari pemetaan batimetri Situ Cisanti menunjukkan kedalaman kolom air yang bervariasi antara 0,3 m sampai 2,85 m dengan rata-rata kedalaman sebesar 1,1 m. Sedangkan hasil simulasi muka air Situ Cisanti ditampilkan dalam beberapa keadaan, yaitu keadaan normal setinggi 2,85 m dari batas air dan sedimen, serta ketinggian muka air yang ditambahkan sebesar 0,5 m dan 1 m. Jika muka air di Situ Cisanti bertambah melebihi normal, maka bagian Timur dan Selatan dari Situ Cisanti akan terkena dampak terlebih dahulu dan akan menyebabkan adanya genangan di area tersebut. 
Penerapan Pemasaran Digital Pada UMKM Cireng Gonjreng Di Desa Sukajaya Utami, Indri Putri; Puspasari, Dewi; Izzati, Nur; Fitriani, Dini
Maslahah: Jurnal Pengabdian Masyarakat Vol 6, No 2 (2025)
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/maslahah.v6i2.12388

Abstract

This activity aims to provide training and assistance to UMKM Cireng Gonjreng in Sukajaya Village, Purwakarta Regency, regarding marketing prospects through digital marketing as a marketing strategy to promote their products. The mentoring method is the PAR (Participatory Active Research) method. The training and mentoring phase consists of several activities, including: (1) Observation, (2) Pre-Activity, (3) Activity, (4) Evaluation and monitoring. The result of community service, UMKM Cireng Gonjreng has social media accounts and marketplaces as tools to sell and promote their products. UMKM understands the importance of digital marketing and can also manage social media marketplaces.
Level Up With Problem-Based Learning Students’ Perception Of Its Impact On Learning In Efl Context Khoiriyah, Nisa; Perdana , Purnama Rika; Fitriani, Dini
Jurnal Penelitian Ilmu Pendidikan Indonesia Vol. 4 No. 1 (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.v4i1.329

Abstract

This study aims to investigate the impact of Problem-Based Learning (PBL) on the outcomes of the 9th-grade students in an English language learning context. Drawing on theories of PBL and previous research, the study employs a surveying approach to explore students' perceptions and performance following PBL implementation. The findings reveal a positive result of PBL from students’ perception, demonstrating improvements in understanding course materials, critical thinking, problem-solving skills, self-directed learning, confidence in knowledge application, and finally their scores. Additionally, students show increased engagement and motivation in PBL activities, attributing it to the relevance and appeal of presented problems. These results emphasize the efficacy of PBL in enhancing students’ experiences and preparing them for real-world challenges.
Physico-Chemical and Magnetic Characterization of Topsoil Influenced by Vehicular Emissions at Padjadjaran University, Jatinangor Septiani, Fadia Tri; Fitriani, Dini; Agustine, Eleonora; Kirana, Kartika Hajar; Aji, Bayu Gusti Pangestu
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 11 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/yhp5n953

Abstract

This study investigates the impact of vehicular emissions on the physico-chemical properties of topsoil at Padjadjaran University, Jatinangor. Soil samples were analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS), magnetic susceptibility ()LFll, magnetic domain properties (), and heavy metal concentrations using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). The results showed that while pH values remained within the neutral range (6.03–7.40), elevated EC and TDS values were observed at locations with high traffic density, indicating increased ionic content from anthropogenic sources. Magnetic susceptibility values ranged from 506.7 to 1148.7 × 10⁻⁸ m³kg⁻¹, with all sites exceeding 10 × 10⁻⁸ m³kg⁻¹, confirming the presence of ferrimagnetic minerals, and higher values were found near areas with heavy vehicle activity. The ) values, mostly below 4%, suggest a significant contribution from anthropogenic magnetic particles, dominated by stable single domain (SSD) and multi domain (MD) grains. Heavy metal analysis revealed that most elements (Fe, Mn, Cu, Zn, Al, As, Mg, Ca, K, Ni and Cr) were within permissible limits, except cadmium (Cd), which exceeded background crustal levels, suggesting contamination from anthropogenic sources, including vehicle emissions.
Comparative Analysis of Selling Price Determination With The Cost Plus Pricing Method in Mekarsari Umkm IZZATI, NUR; Fitriani, Dini; Suhendi, Dede; Nurhabibah, Alawiyah
Bulletin of Management and Business Vol. 6 No. 1 (2025): March 2025
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/bmb.v6i1.373

Abstract

Effective selling price determination is one of the crucial aspects in the sustainability of MSME businesses. The background of this study is the various challenges faced by MSMEs in setting competitive selling prices in the market while providing optimal profits. The main problem lies in the lack of understanding of MSME actors regarding strategic pricing methods, such as cost plus pricing which integrates all cost components and profit margins in determining selling prices. The study focuses on a comparative analysis of selling price determination using the cost plus pricing method with traditional practices that have been carried out by MSME Mekarsari. The novelty of the study lies in the provision of an application model that supports MSME actors in adopting a practical cost-based pricing method that is relevant to local market dynamics. The phenomenon studied shows a gap between production costs and selling prices which results in profit margins not being measured accurately. The qualitative descriptive method was used in this study and the primary data sources were the results of observations and interviews with MSME Mekarsari. The data analysis method uses the calculation of selling price determination using the cost plus pricing method, the full costing approach and variable costing. Empirical findings show that the application of the cost plus pricing method can produce more competitive and measurable selling prices compared to traditional methods. In addition, this study found that the understanding of MSME actors regarding the structure of production costs plays a major role in the success of implementing this method. The results of the study provide strategic recommendations for MSMEs to increase competitive advantage through data-based price and cost analysis.
Magnetic and Morphological Characterization of Magnetic Minerals from Sarimukti Landfill Manurung, Dwi Putri K; Fitriani, Dini; Agustine, Eleonora; Kirana, Kartika Hajar; Tama, Petrus Ardi
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11229

Abstract

Sarimukti landfill serves as a waste disposal site. Leachate generated from waste accumulation is discharged through pipelines into multiple retention ponds. This study aims to assess contamination levels in leachate deposits by analyzing the magnetic properties and morphology of magnetic minerals collected from four retention ponds, along with measurements of pH, EC, and TDS in the pond water. Magnetic susceptibility values range from 37.4 – 409.5 (×10⁻⁸) m³/kg, indicating ferrimagnetic mineral dominance. The  values range from 0.81% - 5.96%, where  >2% is often associated to pollutant-contaminated soils. A negative correlation between  and  suggests a minor contribution of superparamagnetic grains from pedogenesis. Scanning Electron Microscopy - Energy Dispersive Spectroscopy (SEM-EDS) analysis identifies spherule and hedral magnetic mineral shapes, with O and Fe as dominant elements and minor Ti, indicating magnetite and titanomagnetite presence. Other elements, including C, Mg, Al, Si, K, Ca, and Mn, likely originate from anthropogenic sources.
Sosialisasi Penanggulangan Kebakaran Untuk Peningkatan Pengetahuan Dan Kesadaran Siswa SDN Sukadana Ciomas Serang Oktaviana, Fadilla; Fitriani, Dini; Julianti, Vina; Asmalia, Hikmah; Khoiriah, Silvi; Pratama, Muhamad Yasin; Permana, Fajar
Jurnal Pengabdian Kepada Masyarakat Vol 6 No 02 (2025): Jurnal Pengabdian Kepada Masyarakat (JPKM) Langit Biru
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/jpkm.v6i02.1532

Abstract

The Community Service Program (PkM) with the theme “Fire Prevention Awareness at SDN Sukadana, Ciomas District, Serang Regency” was held on August 2, 2025, with the aim of improving the understanding and skills of students and teachers in dealing with fire risks in the school environment. The focus of the activity was on fire prevention efforts by providing knowledge about the causes of fires, preventive measures, and appropriate school safety procedures. The implementation method consisted of three main stages, namely coordination with the school and preparation of materials, interactive delivery of fire prevention and safety materials, and evacuation simulations and simple fire extinguishing practices using Fire Extinguishers (APAR) and wet cloths. The results of the activity showed a significant increase in participants' understanding of fire hazards, skills in using fire extinguishers, and disaster preparedness through evacuation simulation exercises. Teachers and students were able to understand evacuation routes, remain calmer in emergency situations, and foster a culture of safety in the school environment. This program not only provided practical experience but also built collective awareness of the importance of school safety and disaster preparedness from an early age. Thus, this activity contributed to creating a school ecosystem that is more responsive to disasters and can be used as a model for implementing mitigation programs in other schools.
KARAKTERISASI LAPISAN BAWAH PERMUKAAN LERENG HASIL PERGERAKAN SESAR LEMBANG MENGGUNAKAN ELECTRICAL RESISTIVITY TOMOGRAPHY PADA SAG POND MURIL Aliyan, Silmi Afina; Susanto, Kusnahadi; Pamungkas, Totok Doyo; Ihsan, Haikal Muhammad; Harja, Asep; Fitriani, Dini; Rosandi, Yudi
Jurnal Geosaintek Vol. 11 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i2.2224

Abstract

One-Dimensional Modeling of Magnetotelluric Data using Convolutional Neural Network-Gated Recurrent Unit Based Inversion and Its Implementation on Field Data Fikri, Achmad Aulia; Nurhasan; Rahmadini, Marshanda Adisti; Abraar, Auza Naufal; Fauzi, Hamzah Firoos; Fitriani, Dini
Spektra: Jurnal Fisika dan Aplikasinya Vol. 10 No. 2 (2025): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 10 Issue 2, August 2025
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.102.04

Abstract

The magnetotelluric method is a geophysical method that utilizes natural variations in the electromagnetic field to map the resistivity distribution beneath the surface. In this method, inversion is the primary process used to estimate the resistivity structure from field data. This study proposes a deep learning-based approach for one-dimensional magnetotelluric inversion, combining Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) as an alternative inversion method. The dataset consists of 20 layers with resistivity and thickness values randomly selected within a specific range at 4000 meters depths and a probability value. Apparent resistivity and phase are obtained through forward modeling based on selected resistivity and thicknesses as input, while the resistivity structure is used as output, with a large data sample. The dataset was standardized and normalized using a logarithmic scale and the MinMax method to map values into the 0-1 range. The dataset was used to train the proposed CNN-GRU model, which is capable of mapping the resistivity distribution in the subsurface. The results show that the CNN-GRU model could map the resistivity distribution model and predict its thicknesses with small error based on the apparent resistivity and phase data, indicating that it can be used for one-dimensional inversion in magnetotellurics. Nevertheless, the model performed quite well on several field datasets, showing a good fit between predicted and true values.
Co-Authors Abraar, Auza Naufal Aji, Bayu Gusti Pangestu Aliyan, Silmi Afina Amalia, Dinda Asep Harja, Asep Asmalia, Hikmah Atikah Syamsi AZIZAH, DARIN NUR Budianto, Muhammad Abdillah Carrisa, Refi Dewi Puspasari Eddy Supriyana Eleonora Agustine Fathurrohman, Fahmy Fauzi, Hamzah Firoos Fikri, Achmad Aulia Hanifah, Shofie Dzakia Hendraliany, Srie Hendrayani, Riska Heryatun, Yayu Hutabalian, May Angelia Ihsan, Haikal Muhammad Julianti, Vina Juniarti, Nita Kartika H. Kirana, Kartika Kartika Hajar Kirana, Kartika Hajar Khoiriah, Silvi Khoiriyah, Nisa Kusnahadi Susanto Manurung, Dwi Putri K Mentari, Vanessa Zian Mia Uswatun Hasanah Muhamad Gina Nugraha Mulyadi, Yudi MULYANA, ACHMAD ARIF Nawawi, Muhamad Rovie Nico Andrianto, Nico Novala, Gesti Cita Nugraha, Andhika Nur Izzati Nurhabibah, Alawiyah NURHASAN Oktaviana, Fadilla Pamungkas, Eko Wiji Pamungkas, Totok Doyo Perdana , Purnama Rika Permana, Fajar Pranatikta, Krishna Agra Pratama, Muhamad Yasin Puja Lestari, Putri Purnama Rika Perdana Rahmadini, Marshanda Adisti Rahman, Jafar Shidqur Rahmaputri, Maghfira Dwivani Ramadan, Ananda Zikri Ramadhan, Fadhel Rizki, Muhammad Ilham Rizkita, Nabila Risty Rofe’i, Agus Rohman, Muhammad Alkuansinta Saeful Amri Selnistia Hidayani Septiani, Fadia Tri Shafaria, Mileani Sihombing, Feronika Roulitua Suhendi, Dede Sulhah, Siti Susilawati, Anggie Tama, Petrus Ardi Utami, Indri Putri Yudi Rosandi Zaenudinna, Rayna Aulia