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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika dan Teknik Elektro Terapan Journal of Information Systems Engineering and Business Intelligence Jurnal Informatika Jurnal CoreIT Jurnal Komputer Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Anterior Jurnal Technologia: Jurnal Ilmiah Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Atma Inovasia JOINTECOMS (Journal of Information Technology and Computer Science) Teknomatika: Jurnal Informatika dan Komputer Diteksi : Jurnal Pengabdian Kepada Masyarakat
Nova Noor Kamala Sari
Universitas Palangka Raya
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Social Sciences Other

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Optimized ensemble framework for predicting hydroponic stock and sales using machine learning Pranatawijaya, Viktor Handrianus; Priskila, Ressa; Putra, Putu Bagus Adidyana Anugrah; Sari, Nova Noor Kamala; Christian, Efrans; Geges, Septian; Kristianti, Novera
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3879-3886

Abstract

The increasing global demand for food necessitates the adoption of sustainable agricultural practices. Hydroponic farming, while efficient in resource utilization, faces challenges in accurately predicting stock levels and sales due to dynamic, ever-changing factors. This research presents an optimized ensemble framework for forecasting hydroponic stock levels and sales by integrating linear regression (LR), random forest (RF), and XGBoost, further enhanced through an evolutionary algorithm (EA). The proposed framework is evaluated using root mean square error (RMSE) and mean absolute error (MAE), demonstrating significant accuracy improvements over individual models. The ensemble model achieves an RMSE reduction of 43.82% for stock prediction and 55.3% for sales forecasting compared to the best-performing individual model. Additionally, local interpretable model-agnostic explanations (LIME) are employed to offer stakeholders clear insights into decision-making processes, such as identifying "number of harvested crops" and "sales data" as key drivers of prediction outcomes. This framework supports sustainable development goals (SDGs) 9.3, 12.3, and 12.C by promoting resource efficiency, reducing food waste, and improving small-scale farmer market access. Future research will explore real-time data integration for dynamic adaptation and further model enhancements.
Rancang Bangun Sistem Informasi Magang Berbasis Website Berylian Josepto, Gavin; Ardianto Putra, Arvin; Priskila, Ressa; Noor Kamala Sari, Nova; Licantik, Licantik
Journal of Information Technology and Computer Science Vol. 5 No. 3 (2025): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v5i3.23151

Abstract

Program magang memiliki peran penting bagi mahasiswa dan Lulusan baru dalam mendapatkan pengalaman kerja sebelum memasuki dunia profesional. Namun demikian, proses pencarian dan pengolahan magang terkadang menemui kendala, seperti informasi yang tidak terpusat dan sistem tidak terintegrasi. Penelitian ini bertujuan untuk merancang sistem informasi magang berbasis website yang dapat menghubungkan pelamar dengan perusahaan. Perancangan sistem menggunakan metode waterfall, yang meliputi tahap analisis kebutuhan, perancangan, inplementasi, dan pengujian. Pada tahapan perancangan, dibuat Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), serta rancangan basis data yang terdiri atas enam belas table utama. Hasil akhir dari penelitian ini adalah sebuah website yang menyediakan fitur register, publikasi lowongan, pengajuan lamaran, serta pengolaan data oleh admin. Sistem ini diharapkan dapat memperluas jangkauan informasi magang., mempercepat proses rekrutmen, dan memudahkan interaksi daring antara pelamar dan juga perusahaan. Pengujian dilakukan menggunakan metode black-box testing agar memastikan semua fungsi fitur berjalan dengan baik. Dan hasil pengujian menunjukkan bahwa semua fitur dalam sistem berfungsi dengan baik.
Co-Authors ., Widiatry ., Widiatry Agus Sehatman Saragih Agustian Kristianto, Brian Agustin, Ria Ainah, Saripah Alparez Rati , Rizky Amrullah, Rizaldi Anak Agung Istri Sri Wiadnyani Ananda Khairunnisa, Puteri Ananingtyas, Arifatul Andini, Wafik Annisa, Norul Anorgi, Andrew Aprilia, Salsabila Aprimikardo, Aprimikardo Ardianto Putra, Arvin Arief, Muhammad Risman Ariesta Lestari Arifatul Ananingtyas Ariska Putra, Sendy Armadyah Amborowati Aryabimo, Agsa Rakha Bamulki, Margareta Bernady, Delon Berylian Josepto, Gavin Cahya Kamilla, Adinda Candra Wijaya, Candra Candrawati, Nuri Chitayae, Nadya Christian , Efrans Cristian Harati, Cadeck Dewi Masitoh, Reina Dhia Yusrana, Rafif Diantoro, Ironaldo DWI SURYANTO Dwiwicaksono, Ardhy Dwiyankie, Ravema Nanda Efrans Christian Ema Utami Fajari, Rizqi Felicia Sylviana Firdo, Daud Gunawan, Vincentius Abdi Hadi, Muhammad Ilmiannor Handrianus Pranatawijaya, Viktor Imamsyah, Rasyid Noor Jadiaman Parhusip, Jadiaman Jakkirahman , Jakkirahman Jovito, Felik Rolantius Kevin Obajha Kristianti, Novera Kristianto, Hefi Leonardo, Tomas licantik licantik Licantik Licantik Licantik, Licantik Lusia Kiareni, Cindi Maharani, Audry Marhayu Marhayu Marhayu, Marhayu Martha lena Munthe, Samuel Septa Nasution, Annio Indah Lestari Natasya, Apriliani Nazarius, Atong Nela Puspita Florensia Noor Hasanah Novanti, Anastia Ivanabilla Novia Fitriani Nur Chusnul Khotimah, Yusie Nurdin Nurdin Olpah, Syahrida Priskila, Ressa Priyani, Natasya Purba, Fernata Firdaus Putra, Putu Bagus A.A. Putra, Putu Bagus Adidyana Anugrah Rahman, Resha Ananda Ramanda Kalawa Putri, Maria Rebecca Novita Resha Ananda Rahman Ressa Priskila Revelin Putri, Nadya Roichan, Muhammad Ronaldo, Deddy Sagit Sahay, Abertun Saputra, Ferry Saputra, Septian Dwi Septian Geges Septian Geges Sihite, Putri Simorangkir, Anastasya Sinta Septiani, Clara Sorisa, Cinda Surana, Yogi Andy Pratama Syahrohim, Imam Valentine, Virginia Vianus, Rezaski Yoan Viktor Handrianus Pranatawijaya Viktor Handrianus Pranatawijaya Widiatry Widiatry, Widiatry Yudhistira, Aditya Septian Yukandri, Yukandri Yulia Patimah Zahra, Marsha Zakharia Zakharia Zakharia, Zakharia