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All Journal Jurnal Akuakultur Indonesia Jurnal Ekonomi : Journal of Economic Jurnal Kesehatan Masyarakat Jurnal English Education: Jurnal Tadris Bahasa Inggris Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) SITEKIN: Jurnal Sains, Teknologi dan Industri Geo-Image Journal Journal of Livestock Science and Production DIDAKTIKA TAUHIDI: JURNAL PENDIDIKAN GURU SEKOLAH DASAR JURNAL PENDIDIKAN TAMBUSAI PROMOTOR Jurnal Sosial Humaniora Jurnal FARMAKU (Farmasi Muhammadiyah Kuningan) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal 'Aisyiyah Medika Jurnal Ners Jurnal Statistika dan Aplikasinya AKMENIKA Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Biosense Jurnal Keperawatan GSH Jurnal Nasional Manajemen Pemasaran dan SDM Journal of Soft Computing Exploration GANESHA: Jurnal Pengabdian Masyarakat Jurnal Media Informatika Journal Peqguruang: Conference Series Journal of Language and Health Journal of Aafiyah Health Research (JAHR) Edusoshum: Jurnal Pendidikan Islam dan Sosial Humaniora JRKN JEER (Journal of Elementary Educational Research) Berita Kedokteran Masyarakat Tsaqofah: Jurnal Penelitian Guru Indonesia Asian Journal of Healthcare Analytics Jurnal Pengabdian Masyarakat Ekonomi, Manajemen dan Akuntansi (JPMEMA) Naradidik: Journal of Education & Pedagogy Journal of Information System Exploration and Research ALENA : Journal of Elementary Education JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Educandumedia: Jurnal Ilmu Pendidikan dan Kependidikan Jurnal Tumbuhan Obat Indonesia The Indonesian Journal of Computer Science Journal of Fundamental Management (JFM) Jurnal Media Informasi Teknologi
Putri Utami, Putri
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Journal : The Indonesian Journal of Computer Science

 1 
Pengembangan Sistem Informasi Kesesuaian Lahan Tanaman Pangan Berdasarkan Faktor Cuaca Berbasis Website Utami, Putri; Abdullah, Asrul; Hudjimartsu, Sahid Agustian; Wicaksono, Aditya; Viona, Tiara Aurilia
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3758

Abstract

Evaluasi lahan dapat dilakukan untuk meningkatkan kualitas dan kuantitas komoditas pertanian. Salah satunya dengan persyaratan penggunaan lahan dengan mempertimbangkan karakteristik lahan. Namun, Dinas Pertanian selaku koordinator sulit mendapatkan informasi terkait karakteristik lahan yang sesuai dengan jenis tanaman berdasarkan faktor cuaca. Anomali cuaca menyebabkan turunnya produktitivitas tanaman. Tujuan penelitian ini adalah mengembangkan sistem informasi kesesuaian lahan untuk menentukan jenis tanaman pangan beradasarkan karakteristik lahan serta evaluasi kesesuaian lahan tanaman. Metode dalam penelitian ini adalah Framework for the Application of System Thinking (FAST). Tahapan FAST yaitu scope definition, problem analysis, requirement analysis, decision analysis, design, contruction and testing, dan instalation and delivery. Berdasarkan hasil uji kelayakan aplikasi menghasilkan nilai 87% dengan kriteria baik. Hasil ini menunjukkan bahwa sistem informasi kesesuaian lahan tanaman pangan dapat digunakan dengan baik.
Optimasi Model Algoritma Machine Learning Suppervised menggunakan Algoritma Genetika untuk Prediksi Kebakaran Hutan dan Lahan Utami, Putri; Sucipto; Risli , Andrea; Aurilia Viona, Tiara
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4395

Abstract

Forest and land fires are a common occurrence in Indonesia, particularly in the provinces of Sumatra and Kalimantan. One strategy for mitigating the impact of forest and land fires is to predict areas that are prone to such incidents. In this study, genetic algorithm (GA) optimization was employed to enhance the efficacy of the random tree and hyper-SVM algorithms, with a view to identifying the most optimal test results. The dataset utilized in this study comprises hotspot data and climate data for Ketapang Regency during the 2021-2022 period. The results of the training and testing demonstrate that the Random Tree +GA algorithm optimization with a PC value of 0.6 and Bolzmann selection parameters yields an accuracy of 99.77%, a recall of 94.88%, a precision of 95%, an RMSE of 0.015, and a Kappa of 0.9. In contrast, the Hyper-SVM +GA optimization, with a PC value of 0.6 and Bolzmann selection parameters, yielded an accuracy of 70.48%, a recall of 52.14%, a precision of 50.58%, an RMSE of 0.493, and a Kappa of 0.026. The results demonstrate that the Random Tree +GA algorithm model optimization exhibits superior performance compared to Hyper-SVM +GA optimization. Consequently, it can be inferred that the Random Tree +GA algorithm represents the most effective classification model for predicting the likelihood of forest and land fires in Ketapang Regency
Co-Authors Aditya Wicaksono Agus Oman Sudrajat Akhiroh, Puji Al Qohar, Bagus Alfindo, Nico Dian Ali Mustadi Ambarwati, Dyah Amelia Putri, Winda Amelia Rika Anah, Sri Ananto Aji, Ananto Andi Asrina Anwar, Muh Apik Budi Santoso Ardilla, Yohana Nanita Nansy Aripa Hasanah , Nur Armawan, Ladyka Viola Asrul Abdullah atim rinawati Aulia Puspita Anugra Yekti Aulia Putri, Devita Aulia, Usna Aurilia Viona, Tiara Bayu , Silvana Budi Hartono Caska - Chotimah, Indira Christina Ismaniati Christy Efiyanti Cicih Ratnasih, Cicih Denny Nurdiansyah Dewi, Trisni Dinamella Wahjuningrum Dullah, Ahmad Ubai Eka Kusumastuti, Anie Eka Yusnaldi Ekawati Ekawati Eko Nugroho Endah Dewi Purnamasari Endang Silaningsih Fadillah Fadillah Fatmah Afrianty Gobel Fatria Harwanto Febrianto, Nanang Hamzah Hasyim Hermanto Hilda Zulkifli Ida Wahyuni Idris, Fairus Prihatin Iis Diatin Imam Subarkah Imas Maesaroh Irmanida Batubara irviana, ira Irzal Effendi Ismail Hasan, Ismail Istiqomah Nur Rahmawati Juhadi Juhadi Jumanto Unjung Jundi, Muhamad Kartini, Alif Yuanita Khairani, Aulia Kurniawan, Egy Kusrianty, Nelly Kusumawati, Tri Indah Lewinsca, Maurend Yayank Marcela, Raya Maryanto Masriana Masriana, Masriana Maulidnawati, Abrina Mia Setiawati Much Aziz Muslim Muhammad Ali, Hendry Muhammad Helmi Muhammad Kaulan Karima Muharramah, Disa Hijratul Muhyidin Muji Burrohman Mujihari, Mujihari Munawaroh, Fauziyatul Mursal Aziz Murti, Wahyu Muslima, Patriotika Nadia Ramli, Nurul Ningsih, Maylinna Rahayu Nita Yunianti Ratnasari Novalinda, Novalinda Novitasari, Prihatini Dini Novitrie, Ayu Nurlinda, SE., MM, R.A Nurlizawati Nurul Hasanah Nurul Isnaini Octaviany, Efi Pertiwi, Dwika Ananda Agustina Pinandita, Egi Pur Prameswari, Ayu Priyo Sugeng Winarto Puji Hastuti, Yuni Puspita Anugra Yekti, Aulia Qohar, Bagus Al Rahmadani, Aulia Rahmaddeni Rahmaddeni Rambe, Riris Nurkholidah Restu Restu Risli , Andrea Risma Handayani Ritonga, Yunizar Rizki Amalia Rizki Wandini, Rora Sahid Agustian Hudjimartsu Sahiman, Kunta Adnan Salbila, Isal Saputra, Yoerdy Agusmal Sibarani, Benly Levi Andreas Sinaga, Leonardo SITI FATIMAH Siti Khodijah Parinduri Sri Nuryati Sucipto Sukmawati Sukmawati Sumiaty Sumiaty Supriadi Supriadi Suprida, Suprida Susi Handayani Suyono Suyono Syah, Habib Asshidiq Syamsi, Afduha Nurus Tanga , Yulizchia Malica Pinkan Tatag Budiardi umi arifah Utami*, Rahayu Dwi Vidya Vitta Adhivinna, Vidya Vitta Viona, Tiara Aurilia Wahjuningsih , Sri Widya Ningsih, Mutiara Wira Wibawa, Herry Y. Hadiroseyani Yonvitner - Yunola, Satra Yusriani, Yusriani