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All Journal Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia IAIC Transactions on Sustainable Digital Innovation (ITSDI) Petanda : Jurnal Ilmu Komunikasi dan Humaniora Journal of Computer Science and Technology Application
Fazri, Muhammad Faizal
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Dakwah Digital Berbasis Kecerdasan Buatan: Penerapan IndoBERT dalam Analisis dan Penyebaran Konten Dakwah Peduli Lingkungan di Media Sosial Rusmiati, Elis Teti; Angellia, Filda; Pranawukir, Iswahyu; Winata, Nanda Putu; Fazri, Muhammad Faizal
Petanda: Jurnal Ilmu Komunikasi dan Humaniora Vol 7, No 1 (2024): Desember 2024
Publisher : Universitas Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/petanda.v7i1.5200

Abstract

Media sosial memainkan peran penting dalam penyebaran pesan dakwah dan kampanye lingkungan, tetapi efektivitas penyampaiannya sering kali terbatas oleh rendahnya keterlibatan audiens. Seiring dengan perkembangan komunikasi digital, optimalisasi strategi penyampaian konten menjadi sangat penting untuk memastikan interaksi yang bermakna dengan audiens. Penelitian ini mengusulkan pendekatan kuantitatif dengan metode eksperimen untuk meningkatkan strategi penyampaian konten dakwah digital berbasis lingkungan melalui IndoBERT, sebuah model pemrosesan bahasa alami canggih untuk bahasa Indonesia. Data dikumpulkan dari unggahan media sosial terkait dakwah lingkungan, yang kemudian dianalisis menggunakan pemodelan topik dan analisis sentimen berbasis IndoBERT untuk memahami pola keterlibatan audiens serta efektivitas konten. Dengan memanfaatkan wawasan yang diperoleh dari analisis ini, konten disempurnakan dan disesuaikan agar selaras dengan sentimen audiens serta minat topikal mereka. Setelah proses optimasi, konten yang telah disesuaikan menunjukkan peningkatan keterlibatan sebesar 24,7%, yang menyoroti potensi pendekatan berbasis kecerdasan buatan dalam meningkatkan jangkauan digital. Hasil penelitian ini berkontribusi terhadap pengembangan strategi dakwah digital berbasis kecerdasan buatan serta memberikan wawasan berharga untuk meningkatkan keterlibatan media sosial dalam diskursus keagamaan dan lingkungan. Selain itu, penelitian ini mendukung upaya yang lebih luas dalam pelestarian lingkungan di Indonesia dengan meningkatkan dampak konten dakwah terhadap kesadaran publik dan perubahan perilaku.
Integrasi Nilai Islam dan Kesehatan dalam Pariwisata: Penyuluhan untuk Masyarakat Margaluyu Pangalengan Rusmiati, Elis Teti; Cahya, Mochamad Robby Fajar; Gustina, Irwanti; Rahmadi, Muhamad Hanan; Dewi, Sari Amalia; Winata, Nanda Putu; Fazri, Muhammad Faizal
Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia Vol 7, No 2 (2025): April 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/jpm.v7i2.4088

Abstract

AbstrakPengabdian kepada Masyarakat (PKM) Kolaboratif di Desa Margaluyu dilatarbelakangi kurangnya pemahaman nilai-nilai Islam dalam pengelolaan pariwisata dan kurangnya kesadaran kesehatan lingkungan sehingga dibutuhkan pendekatan integratif sebagai solusinya. Tujuan kegiatan: (1) meningkatkan pemahaman masyarakat tentang integrasi nilai Islam dan kesehatan dalam kepariwisataan, (2) mendorong penerapan solusi praktis untuk menunjang kualitas hidup dan daya tarik wisata. Kegiatan diikuti 35 peserta terdiri dari pelaku usaha pariwisata, tokoh masyarakat, karang taruna, serta perangkat desa. Tahapan kegiatan (1) observasi dan analisis kebutuhan mitra, (2) perancangan materi integratif Islam-Kesehatan, (3) pelaksanaan penyuluhan dan simulasi, (4) evaluasi dampak melalui kuesioner dan refleksi. Hasil kegiatan menunjukkan (1) pemahaman peserta meningkat, dengan rata-rata skor pre-test 57% naik menjadi 83% pada post-test. (2) penerapan solusi praktis mulai berjalan, seperti pelatihan sanitasi Islami, pengelolaan makanan halal-thayyib, serta rencana pembuatan tempat wudhu di area wisata. Peserta juga terlibat aktif dalam merumuskan langkah konkret. Keberhasilan kegiatan ini membuktikan bahwa pendekatan integratif antara agama dan kesehatan dapat menjadi solusi inovatif dalam penguatan pariwisata berkelanjutan di tingkat komunitas. Kata kunci: Kesehatan, Nilai Islam, Pariwisata Berkelanjutan, Pemberdayaan Masyarakat, Penyuluhan.
Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Fazri, Muhammad Faizal; Ramadhan, Tarisya; Apriliasari, Dwi; Julianingsih, Dwi; Fitzroy, Arabella
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.39

Abstract

In the digital era, Big Data Analytics has emerged as a crucial tool for optimizing marketing strategies. This research explores the integration of Big Data into marketing, aiming to identify effective analytical techniques and their impact on marketing outcomes. The study utilized secondary data from various sources, including sales transactions, social media interactions, customer demographics, and web analytics. The analysis process involved data cleaning, integration, predictive modeling, clustering, sentiment analysis, and data visualization. The findings reveal that promotional campaigns and seasonal discounts significantly boost sales, with customer segmentation identifying three key groups: discount hunters, loyal customers, and occasional shoppers. Sentiment analysis shows positive customer feedback, though logistics-related issues warrant improvement. These results underscore the importance of targeted and personalized marketing strategies driven by data insights. The research contributes to marketing theories by providing empirical evidence on the effectiveness of Big Data Analytics in enhancing marketing strategies. Further research is recommended to explore its applicability across different industries, incorporate more diverse data sources, and utilize advanced analytical techniques to refine marketing strategies.
Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario Rawat, Bhupesh; Bist, Ankur Singh; Mehra, Nidhi; Fazri, Muhammad Faizal; Terah, Yochebed Anggraini
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.534

Abstract

Natural language processing is one of the essential activities of artificial intelligence. There is an excellent need for chatbots that require integration into artificial intelligence applications. The local language makes the process easier. Our research aims to analyze the possibilities and challenges of implementing a chatbot in the Kumaon language. We also provide a detailed survey of the Kumaon language and map it to other languages to make it easier to process it for industrial use. This chatbot can help with various needs and services in the Kumaon language. The method used in this research is a study analysis of the Kumaon language to deal with language extinction. The novelty in this research is a chatbot in the Kumaon language with end-to-end encryption so that the service user has good security.
Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution Fazri, Muhammad Faizal; Lintang Bayu Kusuma; Risa Burhani Rahmawan; Hardiana Nur Fauji; Castarica Camille
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 2 (2023): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i2.579

Abstract

Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology.
Co-Authors Apriliasari, Dwi Bist, Ankur Singh Cahya, Mochamad Robby Fajar Castarica Camille Dewi, Sari Amalia Elis Teti Rusmiati Filda Angellia Fitzroy, Arabella Gustina, irwanti Hardiana Nur Fauji Iswahyu Pranawukir Julianingsih, Dwi Lintang Bayu Kusuma Mehra, Nidhi Rahmadi, Muhamad Hanan Ramadhan, Tarisya Rawat, Bhupesh Risa Burhani Rahmawan Terah, Yochebed Anggraini Winata, Nanda Putu