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All Journal Djtechno: Jurnal Teknologi Informasi MDP Student Conference
Enggrayni, Freya
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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FORECASTING HARGA DAGING AYAM RAS MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY (LSTM) DAN SARIMA DI JAWA TIMUR Septiajayanti, Dwi; Enggrayni, Freya; Dwi K, Yuana Istiqomah; Hardiyanto, Eko
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.7877

Abstract

Penelitian ini bertujuan untuk memprediksi harga daging ayam ras di Provinsi Jawa Timur sebagai upaya mendukung ketahanan pangan dan perumusan kebijakan yang responsif terhadap kebutuhan masyarakat. Data historis harga harian daging ayam ras periode Januari 2022 hingga Juli 2025 dikumpulkan melalui web scraping dari situs Siskaperbapo. Tahapan penelitian meliputi pengumpulan data, pembersihan dan normalisasi menggunakan Z-Score, analisis eksploratif, pemodelan menggunakan metode Seasonal Autoregressive Integrated Moving Average (SARIMA) dan Long Short-Term Memory (LSTM), evaluasi model dengan metrik Root Mean Squared Error (RMSE) dan Mean Absolute Percentage Error (MAPE), serta implementasi forecasting. Hasil penelitian menunjukkan bahwa model SARIMA(0,0,2)(0,1,1,12) menghasilkan nilai RMSE sebesar 1.521 dan MAPE 38,6%, sedangkan model LSTM memberikan performa lebih baik dengan RMSE 0.002 dan MAPE 20,31%. LSTM mampu menangkap pola data dengan baik dan lebih akurat dibanding SARIMA, meskipun terdapat deviasi pada periode penurunan harga yang tajam. LSTM direkomendasikan sebagai metode peramalan harga daging ayam ras di Jawa Timur karena mampu memberikan hasil prediksi yang lebih presisi. Penelitian selanjutnya dapat mengembangkan pendekatan hibrida untuk meningkatkan akurasi peramalan jangka panjang.
Adopsi AIGC oleh Mahasiswa Desain: Efisiensi, Etika, dan Kreativitas Enggrayni, Freya; Wulansari, Anita; Rinjeni, Tri Puspa
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15498

Abstract

This study aims to understand how Artificial Intelligence Generated Content (AIGC) is adopted by design students by examining the theoretical framework used and the factors that influence the intention and behavior of its use. The study was conducted through a systematic literature review by searching scientific databases and relevant references. The results of the analysis show that models such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) are most frequently used, with a focus on perceived usefulness, ease of use, and performance expectations. However, in the context of design, the adoption of AIGC is also influenced by psychological factors, such as perceptions of risk and anxiety about AI, as well as ethical issues related to originality and creative integrity. These findings indicate that the acceptance of AIGC is not only a technical issue but also involves psychological considerations and creative values in the design learning process.
Co-Authors Dwi K, Yuana Istiqomah Hardiyanto, Eko Septiajayanti, Dwi Tri Puspa Rinjeni Wulansari, Anita