ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PENGIRIMAN BARANG MENGGUNAKAN ALGORITMA SIMPLE ADDITIVE WEIGHTIG (SAW) PADA J&T CARGO RANTAUPRAPAT

RIZKY PRATAMA HARAHAP, NPM 2209100114 (2026) ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PENGIRIMAN BARANG MENGGUNAKAN ALGORITMA SIMPLE ADDITIVE WEIGHTIG (SAW) PADA J&T CARGO RANTAUPRAPAT. Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Penelitian ini bertujuan untuk menganalisis dan menerapkan Sistem Pendukung Keputusan (SPK) menggunakan algoritma Simple Additive Weighting (SAW) dalam menentukan prioritas pengiriman barang pada J&T Cargo Rantauprapat. Permasalahan yang dihadapi perusahaan adalah proses penentuan prioritas pengiriman yang masih dilakukan secara manual sehingga berpotensi menimbulkan keterlambatan, kurang objektif, dan kurang efisien. Penelitian ini menggunakan pendekatan kuantitatif dengan tahapan pengumpulan data melalui observasi, wawancara, dan dokumentasi, kemudian dilakukan pembersihan data, transformasi data ke bentuk numerik, normalisasi, pemberian bobot kriteria, serta perhitungan nilai preferensi menggunakan metode SAW. Kriteria yang digunakan meliputi urgensi pengiriman, kondisi barang, jenis barang, dan lokasi pengiriman. Hasil penelitian menunjukkan bahwa metode SAW mampu memberikan peringkat prioritas pengiriman secara objektif berdasarkan nilai preferensi tertinggi sehingga dapat membantu perusahaan dalam menentukan urutan pengiriman barang secara lebih cepat, tepat, dan efisien. Penerapan metode ini diharapkan dapat meningkatkan efektivitas operasional, meminimalkan keterlambatan pengiriman, serta meningkatkan kualitas pelayanan dan kepuasan pelanggan pada J&T Cargo Rantauprapat. Kata Kunci: Sistem Pendukung Keputusan, Simple Additive Weighting (SAW), Prioritas Pengiriman, J&T Cargo, Pengambilan Keputusan =================================================================================================== This study aims to analyze and implement a Decision Support System (DSS) using the Simple Additive Weighting (SAW) algorithm to determine shipment priorities at J&T Cargo Rantauprapat. The main problem faced by the company is that shipment prioritization is still performed manually, resulting in delays, subjective decision-making, and operational inefficiency. This research employed a quantitative approach through data collection using observation, interviews, and documentation, followed by data cleaning, data transformation into numerical values, normalization, criteria weighting, and preference value calculation using the SAW method. The criteria applied in this study include shipment urgency, item condition, item type, and delivery location. The results indicate that the SAW method is capable of producing an objective ranking of shipment priorities based on the highest preference values, thereby assisting the company in determining shipment order more accurately, efficiently, and effectively. The implementation of this method is expected to improve operational performance, minimize delivery delays, and enhance service quality and customer satisfaction at J&T Cargo Rantauprapat. Keywords: Decision Support System, Simple Additive Weighting (SAW), Shipment Priority, J&T Cargo, Decision Making

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Sistem Pendukung Keputusan, Simple Additive Weighting (SAW), Prioritas Pengiriman, J&T Cargo, Pengambilan Keputusan===============Decision Support System, Simple Additive Weighting (SAW), Shipment Priority, J&T Cargo, Decision Making
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	03 Nov 2026 03:14
Last Modified:	03 Nov 2026 03:14
URI:	http://repository.ulb.ac.id/id/eprint/2957

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