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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JURNAL PENDIDIKAN TAMBUSAI Edumaspul: Jurnal Pendidikan MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal Review Pendidikan dan Pengajaran (JRPP) INTI Nusa Mandiri Jurnal Abdi Insani Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Education and Counseling Journal Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi Jurnal Pendidikan, Sains dan Teknologi Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Jurnal Sistem Informasi dan Informatika Journal Of Informatics And Busisnes Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Jurnal Ilmu Komputer dan Informatika
Anggi Hadi Wijaya
Universitas Andalas
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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PENERAPAN JARINGAN SYARAF TIRUAN DENGAN ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI PRODUKSI TANAMAN PADI Wijaya, Anggi hadi
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6438

Abstract

Rice is a staple food crop in Indonesia, including in West Sumatra Province, which plays an important role in national food security. This study aims to develop a rice production prediction model using Artificial Neural Networks (ANN) with the Backpropagation algorithm. Historical rice production data from 2006 to 2023 in 19 regencies/cities in West Sumatra Province were used as the data basis. The research methods include data collection from BPS West Sumatra, data preprocessing, prediction process using the Backpropagation algorithm, and accuracy testing of the prediction results. The results show that ANN with the Backpropagation algorithm can predict rice production with an accuracy rate of 82.56% using an architecture with 16 neurons in the input layer, 9 neurons in the hidden layer, and 1 neuron in the output layer. This prediction model is expected to assist farmers and the government in planning optimal rice production, thereby increasing production and the welfare of farmers in West Sumatra Province. Thus, this research provides significant contributions in supporting decision-making in the agricultural sector, particularly in efforts to enhance food security and the welfare of farmers in the region
Digital Campaign to Combat Violence and Sexual Harassment: Advancing Gender Equality for All Women and Girls Fitri, Wahyu; Zumiarti, Zumiarti; Surya, Rahmad; Wijaya, Anggi Hadi
Edumaspul: Jurnal Pendidikan Vol 9 No 1 (2025): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.8991

Abstract

This study aims to determine the effectiveness of digital campaigns in increasing public awareness about gender equality and reducing the incidence of violence and sexual harassment against women and girls. By leveraging social media platforms and online media, digital campaigns can be a powerful tool for mobilizing public opinion and driving the necessary social change. The research approach used is a mixed method which includes in-depth interviews with 30 interviewees and the distribution of 200 questionnaires to the community in West Sumatra, one of the regions with the highest incidence of sexual violence in Indonesia (qualitative-quantitative). The data was analyzed using Nvivo 12+ software and Smart PLS so that comprehensive and valid results were obtained. This research shows that digital campaigns have great potential to influence people's attitudes towards gender issues, increase understanding of gender equality, and help reduce the rate of sexual violence and harassment. The study provides recommendations for policymakers and stakeholders to increase the adoption and use of digital campaigns as a key strategy to achieve gender equality and protect women and girls from violence.
Co-Authors ., Syamsi Adi Arga Arifnur Afdhal Dinilhak Asti, Ajeng Dwi Azizah, Tiara Azmi, Khairil Budy Satria Dharma Liza Said Dwi Asti, Ajeng Erna Susanti Fanny Septiani Bufra Hartati, Yuli Ipriadi Ipriadi Ipriadi Ipriadi, Ipriadi Kanzul Fadlillah Khairi, Luthfil Legiman Slamet Melly Rindhani Aditia Muhammad Ilsan Oktapian Nurfiah Pema Oktalia Lisman Perra Budiarti Rahayu Putri Perra Budiarti Rahayu putri Putri, Sherly Ananda Rahmad Surya Rahman, Arifan Rahmi Eka Putri Rahmi Eka Putri, Rahmi Eka Rahmi, Siti Fadhilah Riza Yonita Rizalina Rizalina SAKINAH, PUTRI Sumiati Sumiati Surya, Rahmad Syamsi Syamsi Syauqi, Muhammad Dawi Syelfia Dewimarni Wahyu Fitri Wahyu Fitri Wahyudi Wahyudi Wahyudi Zamora, Sasya Zumiarti