PENERAPAN METODE HYBRID SAW DAN TOPSIS DALAM MENENTUKAN SISTEM IDENTITAS PRODUK PADA PT KOKAI INDO ABADI

HIDAYAT, TAUFIQ (2025) PENERAPAN METODE HYBRID SAW DAN TOPSIS DALAM MENENTUKAN SISTEM IDENTITAS PRODUK PADA PT KOKAI INDO ABADI. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The implementation of an effective product identification system is an essential element in meeting international quality standards, such as API Spec Q1, particularly in the oil and gas manufacturing industry. PT Kokai Indo Abadi faces challenges in fulfilling traceability requirements due to the absence of an integrated product identification system. This study aims to evaluate and determine the most optimal alternative product identification system by applying a Multi-Criteria Decision Making (MCDM) approach based on the HYBRID method of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Six evaluation criteria were used: identification capacity, memory capacity, data transfer speed, information accuracy, compliance with international standards, and data security. Four alternative systems were analyzed: barcode scanning, QR Codes, RFID, and NFC. The weighting results using the SAW method showed that information accuracy and data security had the greatest contribution to decision-making. Furthermore, the TOPSIS analysis results indicate that RFID technology obtained the highest preference value (Vi = 1.000), thus recommended as the best solution for implementation. This study provides strategic contributions to decisionmaking for product identification systems that are not only adaptive to quality standards but also oriented toward operational efficiency. Keywords: Multi-Criteria Decision Making, SAW, TOPSIS, Product Identification System, RFID, API Spec Q1, Operational Efficiency Penerapan sistem identifikasi produk yang efektif merupakan elemen esensial dalam memenuhi standar mutu internasional, seperti API Spec Q1, khususnya dalam industri manufaktur minyak dan gas. PT Kokai Indo Abadi menghadapi kendala dalam pemenuhan aspek traceability karena belum adanya sistem identitas produk yang terintegrasi. Penelitian ini bertujuan untuk mengevaluasi dan menentukan alternatif sistem identifikasi produk yang paling optimal dengan menerapkan pendekatan Multi-Criteria Decision Making (MCDM) berbasis metode HYBRID Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Terdapat enam kriteria evaluasi yang digunakan, yakni kapasitas identifikasi, kapasitas memori, kecepatan transfer data, akurasi informasi, kepatuhan terhadap standar internasional, dan keamanan data. Empat alternatif sistem dianalisis: Scan Barcode, QR Code, RFID, dan NFC. Hasil pembobotan dengan metode SAW menunjukkan bahwa akurasi informasi dan keamanan data memiliki kontribusi terbesar dalam pengambilan keputusan. Selanjutnya, hasil analisis TOPSIS menunjukkan bahwa teknologi RFID memperoleh nilai preferensi tertinggi (Vi = 1.000), sehingga direkomendasikan sebagai solusi terbaik untuk diimplementasikan. Penelitian ini memberikan kontribusi strategis dalam pengambilan keputusan sistem identifikasi produk yang tidak hanya adaptif terhadap tuntutan standar mutu, tetapi juga berorientasi pada efisiensi operasional perusahaan. Kata Kunci : Multi-Criteria Decision Making, SAW, TOPSIS, Sistem Identifikasi Produk, RFID, API Spec Q1, Efisiensi Operasional

Item Type:	Thesis (S1)
Call Number CD:	FT/IND. 25 056
NIM/NIDN Creators:	41621010028
Uncontrolled Keywords:	Multi-Criteria Decision Making, SAW, TOPSIS, Sistem Identifikasi Produk, RFID, API Spec Q1, Efisiensi Operasional
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.1 System Identification/Identifikasi Sistem 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer > 004.19 Hybrid and Analog Computers/Komputer Hybrid dan Komputer Analog 600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.3 Personnel Management/Manajemen Personalia, Manajemen Sumber Daya Manusia, Manajemen SDM 700 Arts/Seni, Seni Rupa, Kesenian > 730 Plastic Arts and Sculpture/Seni Plastik dan Seni Patung > 739 Art Metalwork/Seni Logam, Kerajinan Logam > 739.4 Iron Art Works/Seni Logam Besi > 739.48 Products/Produk
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	04 Aug 2025 02:41
Last Modified:	04 Aug 2025 02:41
URI:	http://repository.mercubuana.ac.id/id/eprint/96508

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