SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KUALITAS BIJI KOPI BERBASIS WEB MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP): STUDI KASUS UMKM KOPI ROBUSTA LAMPUNG BARAT

Santi, Dwi Lestari (2026) SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KUALITAS BIJI KOPI BERBASIS WEB MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP): STUDI KASUS UMKM KOPI ROBUSTA LAMPUNG BARAT. Diploma thesis, UIN Raden Intan Lampung.

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Abstract

ABSTRAK SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KUALITAS BIJI KOPI BERBASIS WEB MENGGUNAKAN METODE AN ALYTICAL HIERARCHY PROCESS (AHP): STUDI KASUS UMKM KOPI ROBUSTA LAMPUNG BARAT Oleh Santi Dwi Lestari Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) berbasis web menggunakan metode Analytical Hierarchy Process (AHP) untuk membantu proses penilaian kualitas biji kopi Robusta pada UMKM Kopi Robusta Lampung Barat. Proses penilaian kualitas biji kopi di UMKM masih dilakukan secara manual berdasarkan pengalaman penilai sehingga berpotensi menimbulkan subjektivitas dan ketidakkonsistenan. Sistem yang dikembangkan membantu proses penilaian kualitas biji kopi secara lebih objektif dan konsisten berdasarkan lima kriteria, yaitu kadar air, ukuran biji, warna biji, cacat biji, dan kebersihan. Metode AHP digunakan untuk menentukan bobot prioritas setiap kriteria melalui matriks perbandingan berpasangan, normalisasi matriks, perhitungan eigen vector, serta pengujian konsistensi menggunakan Consistency Index (CI) dan Consistency Ratio (CR). Hasil perhitungan menunjukkan bobot kriteria kadar air sebesar 0,156, ukuran biji sebesar 0,141, warna biji sebesar 0,283, cacat biji sebesar 0,092, dan kebersihan sebesar 0,327 dengan nilai Consistency Ratio (CR) sebesar 0,059 (< 0,1), sehingga matriks perbandingan dinyatakan konsisten. Hasil perhitungan sistem juga sesuai dengan perhitungan manual sehingga sistem dinyatakan valid. Sistem dikembangkan menggunakan PHP dan MySQL. Pengujian terhadap lima sampel biji kopi menunjukkan bahwa sistem mampu menghasilkan nilai preferensi dan peringkat kualitas berdasarkan bobot kriteria hasil perhitungan AHP. Dengan demikian, sistem pendukung keputusan yang dikembangkan dapat membantu proses penilaian kualitas biji kopi secara lebih objektif, konsisten, dan terstruktur sebagai pendukung pengambilan keputusan di UMKM Kopi Robusta Lampung Barat. Kata kunci : Sistem Pendukung Keputusan, Analytical Hierarchy Process (AHP), Biji Kopi Robusta, Kualitas Biji Kopi, UMKM. ABSTRACT A Web-Based Decision Support System for Coffee Bean Quality Assessment Using the Analytical Hierarchy Process (AHP): A Case Study of a Robusta Coffee Micro, Small, and Medium Enterprise (MSME) in West Lampung By Santi Dwi Lestari This study aims to develop a web-based Decision Support Sys tem (DSS) using the Analytical Hierarchy Process (AHP) method to as sist the quality assessment of Robusta coffee beans at UMKM Kopi Ro busta Lampung Barat. The coffee bean quality assessment process is still carried out manually based on the evaluator's experience, making it prone to subjectivity and inconsistency. The developed system assists the assessment process in a more objective and consistent manner based on five criteria: moisture content, bean size, bean color, bean defects, and cleanliness. The AHP method was applied to determine the priority weights of each criterion through pairwise comparison matrices, matrix nor malization, eigenvector calculation, and consistency testing using the Consistency Index (CI) and Consistency Ratio (CR). The results showed that the weights of the criteria were 0.156 for moisture content, 0.141 for bean size, 0.283 for bean color, 0.092 for bean defects, and 0.327 for cleanliness, with a Consistency Ratio (CR) value of 0.059 (< 0.1), indicating that the comparison matrix was consistent. The system's cal culation results were also consistent with the manual calculations, in dicating that the system is valid. The system was developed using PHP and MySQL. Testing on five coffee bean samples demonstrated that the system was able to gen erate preference values and quality rankings based on the criterion weights obtained from the AHP calculation. Therefore, the developed decision support system can assist the coffee bean quality assessment process in a more objective, consistent, and structured manner as a de cision-support tool for UMKM Kopi Robusta Lampung Barat. Keywords: Decision Support System, Analytical Hierarchy Process (AHP), Robusta Coffee Beans, Coffee Bean Quality, UMKM.

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