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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Wahyu Fuadi
Malikussaleh
Computer Science & IT Engineering

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ANALISIS TREN HARGA BERAS MENGGUNAKAN ALGORITMA GATED RECURRENT UNIT Cantika Serenita; Wahyu Fuadi; Hafizh AL-Kautsar Aidilof
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6343

Abstract

Rice is a staple food commodity in Indonesia, including in Padang City, which is only able to meet 30% of its rice needs locally. Fluctuations in rice price affect economic stability and public purchasing power, making rice price prediction important. This study aims to develop a rice price prediction model using the Gated Recurrent Unit(GRU) method, utilizing actual historical rice price data from 2022 to April 2025 obtained from the PIPHS Nasional. The dataset includes three type of rice based on quality. Namely Bawah I, Medium I, and Super I. the result show that the GRU model provides the best model evaluation based on three types of rice, with a MAPE of 0, 49% for Medium I quality rice and an RMSE of 0,0587 for super I rice. And the highest MAPE was found in Super I quality rice, namely 4,41% , an RMSE value of 1,222 for Lower I quality rice. This model can be used to assist decision making related to rice price stability, particularly in Padang City, which relies on supplies from other regions. Overall, GRU proves effective in forecasting rice price supporting policies for more stable prices.
PENERAPAN METODE PROFILE MATCHING UNTUK REKOMENDASI PENEMPATAN PRAKTIK KERJA LAPANGAN BAGI SISWA M Rizky; Wahyu Fuadi; Maryana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6366

Abstract

Praktik Kerja Lapangan (PKL) merupakan program penting dalam kurikulum SMK yang bertujuan menyiapkan siswa menghadapi dunia kerja. Namun penempatan siswa sering kali tidak sesuai karena ketidaksesuaian antara kompetensi siswa dan kebutuhan industri. Penelitian ini bertujuan merancang sistem rekomendasi penempatan PKL menggunakan metode Profile Matching. Metode ini mencocokkan profil siswa dengan kriteria industri berdasarkan proses perhitungan GAP, pembobotan, klasifikasi core dan secondary factor, serta perangkingan. Kriteria dan bobot ditentukan melalui wawancara dengan guru kordinator PKL dan pihak industri. Sistem dirancang menggunakan metode waterfall dan diimplementasikan dengan teknologi Python Flask, MySQL, dan XAMPP. Hasil pengujian menggunakan User Acceptance Test (UAT) terhadap 39 responden menunjukkan nilai rata-rata kepuasan sebesar 93%, dengan seluruh pertanyaan memiliki tingkat persetujuan di atas 85%. Ini menunjukkan sistem mampu memberikan akurasi rekomendasi penempatan PKL yang sesuai, objektif, dan memudahkan proses pengambilan keputusan oleh sekolah.
Co-Authors Cantika Serenita Hafizh AL-Kautsar Aidilof M Rizky Maryana