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All Journal VA Jurnal Informatika dan Teknik Elektro Terapan DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Bahtera Indonesia; Jurnal Penelitian Bahasa dan Sastra Indonesia Edunesia : jurnal Ilmiah Pendidikan Among : Jurnal Pengabdian Masyarakat Insyst : Journal of Intelligent System and Computation MATH LOCUS: Jurnal Riset dan Inovasi Pendidikan Matematika Jurnal Abdi Panca Marga Educate: Journal of Community Service in Education Natural Science Education Research (NSER) Keris: Journal of Community Engagement Ummul Qura : Jurnal Ilmiah Institut Pesantren Sunan Drajat (INSUD) Lamongan Journal of Education and Learning Sciences Submit : Jurnal Ilmiah Teknologi Informasi dan Sains The Elementary Journal JIMAD: Jurnal Ilmiah Madrasah ABDIMAS NUSANTARA IJENSET
Ahmad Syaifuddin
Faculty of Dentistry, University of Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Penerapan Neural Network Backpropagation Dalam Peramalan Produksi Ubi Jalar Tahunan Putra, Ananda Diar Eka; Harin, Arisa; Nihmah, Andini Hidayatun; Syaifuddin, Ahmad
SUBMIT: Jurnal Ilmiah Teknologi Infomasi dan Sains Vol. 5 No. 2 (2025): Desember 2025
Publisher : Program Studi Teknik Informatika, Universitas Islam Majapahit Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/submit.v5i2.4197

Abstract

Produksi ubi jalar di Indonesia mengalami fluktuasi tahunan yang dipengaruhi oleh faktor eksternal seperti cuaca, benih, dan distribusi hasil panen. Penelitian ini bertujuan membangun model prediksi produksi ubi jalar tahunan menggunakan Jaringan Syaraf Tiruan (JST) dengan algoritma backpropagation. Data produksi tahun 2008–2014 digunakan sebagai input untuk memprediksi produksi tahun 2015. Model memiliki dua lapisan tersembunyi dengan 64 dan 32 neuron serta aktivasi ReLU. Proses pelatihan menggunakan optimizer Adam, fungsi loss MSE, dan Early Stopping untuk menghindari overfitting. Evaluasi dilakukan dengan MAE, MAPE, visualisasi scatter plot, dan analisis residual. Hasil menunjukkan MAE sebesar 35.563,17 ton dan MAPE sebesar 326,50%, dengan kecenderungan underestimation. Meskipun kurva pelatihan menunjukkan konvergensi yang baik, akurasi relatif masih rendah. Diperlukan eksplorasi lebih lanjut terhadap variabel tambahan dan pendekatan model lain untuk meningkatkan performa prediktif.
ANALISIS LITERASI SAINS SISWA SMP AL HIDAYAH BANGKALAN PADA MATERI EKOLOGI DAN KEANEKARAGAMAN HAYATI INDONESIA Syaifuddin, Ahmad; Tamam, Badrud; Qomaria, Nur; Yamins, Yamin; Putera, Dwi Bagus Rendy Astid
Natural Science Education Research Vol 9, No 1 (2026): Natural Science Education Research
Publisher : Program Studi Pendidikan IPA, Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nser.v9i1.30954

Abstract

This study aims to determine the level of scientific literacy of students at SMP Al Hidayah Bangkalan on the material of ecology and biodiversity of Indonesia. The type of research used is descriptive quantitative. The population of this study were students of SMP Al Hidayah. The sample used was class VII A and VII B with a total of 53 students using purposive sampling technique. Data collection technique through science literacy ability test. The results of this study can be concluded that the level of scientific literacy ability of students at SMP Al Hidayah Bangkalan is categorized as Sufficient, with an average value in the competency aspect of 44.25. As many as 62% of students get an average score in the sufficient category. The indicator explaining scientific phenomena is categorized as sufficient with an average score of 51.42. The indicator designing and evaluating investigations, the average score obtained is 41.98 with a sufficient category, while the average is 38.21 with a less category on the indicator interpreting evidence and data scientifically.
Co-Authors ABD Aziz, ABD Abdul Basith Achmad Patoni Adi Wijayanto Akbar, Ronny Makhfuddin Amirudin, Fahrul Aziz, Muhammad Ilyas Nur Badrud Tamam Deka Anjariyah Farkhan, M. Fianto Putra, Hafizh Firdhausyah, Ananda Ammathul Harianto, Reddy Alexandro Harin, Arisa Irfai Fathurohman, Irfai Ismail, Ika Jatmoko Awali Joan Santoso Kurniawan, Fajar Indra Laksono, Andromeda Dwi Lestari, Fitriani Makhfuddin Akbar, Ronny Muhammad Bahrul Ilmi, Muhammad Bahrul Muhammad Shodiq, Muhammad Najihah, Wilda ‘Ainun Nihmah, Andini Hidayatun Ningrum, Dewi Agustya Ningsih, Masnia Nur Sukmaningtyas, Yanuarini Ponijan, Rizky Maulidya Putri Putera, Dwi Bagus Rendy Astid Putra, Ananda Diar Eka Putri, Alifia Ananda Putri, Candra Avista Putri, Nova Amelia Qomaria, Nur Rahmah, Fita Yulia Ramadhani, Rakhmad Saiful Ristiyani Ristiyani Rohman, Nurur Saputra, Ahmad Bayu SAPUTRA, BAGUS DWI Saputra, Beniqno Ardi Siswadi Siswadi Sugianto Sugianto Wati, Arinda Hikma Wiwik Mardiana Yamins, Yamin Yanuarini Nur Sukmaningtyas Yunita Triana, Yunita Zahara, Soffa