PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN STABILITAS HARGA BAHAN POKOK BERBASIS PROGRESSIVE WEB APP MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

MUHAMAD, AZKA ATQIYA (2026) PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN STABILITAS HARGA BAHAN POKOK BERBASIS PROGRESSIVE WEB APP MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING. Diploma thesis, UIN RADEN INTAN LAMPUNG.

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Abstract

ABSTRAK Fluktuasi harga bahan pokok di Kota Bandar Lampung sering kali memicu ketidakstabilan ekonomi lokal, di mana proses pemantauan oleh Dinas Perdagangan masih menghadapi kendala dalam hal akurasi dan aksesibilitas data pelaporan. Keterlambatan distribusi informasi ini dapat memperlambat pengambilan keputusan strategis terkait operasi pasar. Dengan demikian, penelitian ini bertujuan untuk merancang dan membangun Sistem Pendukung Keputusan pemantauan harga bahan pokok berbasis Progressive Web App (PWA) guna memfasilitasi integrasi data secara langsung. Pengembangan perangkat lunak ini menerapkan metode Waterfall, di mana tahapan perancangan dirumuskan secara sekuensial mulai dari analisis kebutuhan, desain antarmuka, hingga implementasi sistem dan pengujian. Di sisi lain, metode perhitungan Simple Additive Weighting (SAW) diintegrasikan untuk menganalisis pembobotan komoditas berdasarkan selisih harga acuan dan harga aktual harian di pasar. Akibatnya, sistem mampu memproses parameter tersebut guna menyeleksi serta memberikan rekomendasi prioritas komoditas yang memerlukan intervensi pasar secara presisi. Hasil implementasi mendemonstrasikan bahwa arsitektur Progressive Web App (PWA) memungkinkan sistem beroperasi secara optimal dan responsif pada berbagai perangkat seluler maupun desktop tanpa memerlukan instalasi aplikasi konvensional. Temuan ini mengindikasikan bahwa penerapan algoritma Simple Additive Weighting (SAW) di dalam sistem informasi harga bahan pokok (SIAGABAPOK) terbukti efektif menyajikan analisis stabilitas harga yang transparan bagi administrator, surveyor lapangan, serta masyarakat umum. Merujuk pada temuan tersebut, kehadiran platform ini secara signifikan memfasilitasi Dinas Perdagangan Kota Bandar Lampung dalam merumuskan kebijakan stabilisasi harga yang lebih cepat, terstruktur, dan tepat sasaran. Kata Kunci: Sistem Pendukung Keputusan, Progressive Web App (PWA), Simple Additive Weighting (SAW), Stabilitas Harga, Metode Waterfall ABSTRACT The fluctuation of basic food prices in Bandar Lampung City often triggers local economic instability, where the monitoring process by the Trade Office still faces obstacles in terms of accuracy and accessibility of reporting data. Delays in information distribution can slow down strategic decision-making related to market operations. Therefore, this study aims to design and develop a Progressive Web App (PWA)-based Decision Support System for monitoring basic food prices to facilitate real-time data integration. the The software development applies the Waterfall method, where design stages are formulated sequentially starting from requirements analysis, interface design, to system implementation and testing. Furthermore, the Simple Additive Weighting (SAW) calculation method is integrated to analyze commodity weighting based on the difference between the reference price and the actual daily market price. Consequently, the system is able to process these parameters to select and provide recommendations for commodity priorities that require precise market intervention. The implementation results demonstrate that the Progressive Web App (PWA) architecture allows the system to operate optimally and responsively on various mobile and desktop devices without requiring conventional application installation. These findings indicate that the application of the Simple Additive Weighting (SAW) algorithm in the basic food price information system (SIAGABAPOK) is proven effective in presenting a transparent price stability analysis for administrators, field surveyors, and the general public. Referring to these findings, the presence of this platform significantly facilitates the Bandar Lampung City Trade Office in formulating price stabilization policies that are faster, more structured, and accurately targeted. Keywords: Decision Support System, Progressive Web App (PWA), Simple Additive Weighting (SAW), Price Stability, Waterfall Method.

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