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Algorithm Comparison for Estimating Chili Pepper Production in North Sulawesi Province: Perbandingan Algoritma untuk Estimasi Produksi Cabai Rawit di Provinsi Sulawesi Utara Musung, Matthew Albert Alexander; Hasibuan, Alfiansyah
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1756

Abstract

Background: Chili pepper production in North Sulawesi Province plays a vital role in regional food supply yet experiences frequent fluctuations due to natural and seasonal factors. Specific Background: These production instabilities have led to difficulties in market price control and agricultural planning, prompting the need for accurate predictive models. Knowledge Gap: Previous studies have compared regression and neural network algorithms in various domains, but little research has focused on local agricultural commodities such as chili peppers in North Sulawesi. Aim: This study compares the performance of Multiple Linear Regression and Backpropagation algorithms in estimating chili pepper production using statistical data from the North Sulawesi Statistics Agency (2018–2023). Results: Evaluation using R-squared (R²) and Mean Absolute Percentage Error (MAPE) shows that Backpropagation achieved R² = 0.846 and MAPE = 3.235%, outperforming Multiple Linear Regression (R² = 0.228; MAPE = 6.875%). Novelty: The study uniquely applies machine learning algorithms to a regional agricultural context characterized by nonlinear and fluctuating production data. Implications: The findings demonstrate the potential of Backpropagation as a reliable predictive tool for developing intelligent agricultural systems that support production planning and food security policy in North Sulawesi. Highlights Backpropagation shows higher accuracy than Multiple Linear Regression. Estimation uses agricultural data from North Sulawesi Province. Model supports predictive systems for food production planning. Keywords Backpropagation, Chili Production, Multiple Linear Regression, Prediction Model, North Sulawesi
Perancangan Design UI/UX Menggunakan Metode Design thinking Dalam Pengembangan Website Sistem Informasi Kepegawaian Musung, Matthew Albert Alexander; Hasibuan, Alfiansyah
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.17840

Abstract

Salah satu program yang dilaksanakan dalam membangun tata kelola kepegawaian ini adalah dengan penataan kelola data pegawai melalui Sistem Informasi Kepegawaian, Dalam era digital saat ini, badan kepegawaian di berbagai daerah pemerintahan harus mampu menyediakan sistem yang mudah diakses, responsif, dan efisien untuk mendukung administrasi kepegawaian. Desain UI/UX yang baik dapat memperbaiki interaksi pengguna dengan aplikasi kepegawaian, mengurangi kesalahan, serta mempercepat proses pelayanan. Artikel ini mengeksplorasi peran penting desain UI dalam menciptakan antarmuka yang user-friendly dan desain UX dalam memastikan pengalaman pengguna yang optimal. Dengan adanya perancangan Sistem Informasi Kepegawaian (SINIKE) menggunakan metode Design thinking menghasilkan perancangan desain user interface dan user experience Sistem Informasi Kepegawain (SINIKE) baru yang terdiri dari fitur: menu login, menu E-Konsultasi, menu kinerja unit kerja, menu , menu statistik. Hasil dari penerapan metode ini menunjukkan bahwa dengan menggunakan metode Design thinking, desain UI/UX website (SINIKE) meningkatkan kenyamanan, kemudahan akses, dan kepuasan pengguna secara keseluruhan.