Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Blantika : Multidisciplinary Journal Journal of Mandalika Social Science
Sulkhan Sulkhan
Universitas Buddhi Dharma, Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Development of an AHP–TOPSIS Decision Support System for Clamp Plunger Vendor Selection Sulkhan Sulkhan; Siti Nana Alfiyah
Journal of Mandalika Social Science Vol 4 No 2 (2026): Journal of Mandalika Social Science
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/jomss.v4i2.486

Abstract

The selection of vendors for critical machine components is essential for maintaining machine reliability, minimizing maintenance costs, and ensuring continuous production in the non-dairy creamer industry. However, previous AHP–TOPSIS studies have predominantly focused on conventional procurement criteria, with limited attention to the operational consequences of selecting critical spare-part vendors, particularly their effects on machine reliability, gasket service life, maintenance downtime, and lifecycle maintenance costs. This study addresses this gap by developing an integrated Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for clamp plunger vendor selection. Five evaluation criteria—clamp price, lead time, product quality, impact on gasket service life, and vendor service and repair support—were applied to evaluate three vendor alternatives (Wirasakti, Prosper, and Asahan) using expert judgments and operational data. The AHP analysis identified product quality as the most influential criterion (49.35%), followed by impact on gasket service life (24.32%), vendor service and repair support (12.22%), clamp price (9.44%), and lead time (4.66%), with a consistency ratio of 0.042. The TOPSIS results ranked Wirasakti as the best vendor (0.871), followed by Prosper (0.813) and Asahan (0.187). The novelty of this study lies in integrating vendor evaluation with machine reliability and maintenance performance indicators, extending vendor selection beyond conventional procurement considerations. The proposed DSS provides a systematic and objective framework that supports reliability-oriented procurement decisions, helping manufacturers reduce maintenance downtime, improve component lifecycle performance, and enhance sustainable production efficiency.
Analisis Penentuan E-Commerce (Shopee, Tokopedia, Lazada) dengan Metode SAW terhadap Kepuasan Pelanggan Sulkhan Sulkhan; Acmad Mico
Blantika: Multidisciplinary Journal Vol. 3 No. 4 (2025): Blantika: Multidisciplinary Journal
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/blantika.v3i4.313

Abstract

Perkembangan teknologi informasi dan komunikasi telah mengubah pola belanja masyarakat, terutama melalui platform e-commerce seperti Shopee, Tokopedia, dan Lazada. Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pelanggan terhadap e-commerce tersebut dengan menggunakan metode Simple Additive Weighting (SAW). Metode ini dipilih karena dapat memberikan penilaian yang objektif berdasarkan kriteria yang telah ditetapkan. Data dikumpulkan melalui survei kuesioner yang melibatkan 50 responden. Kriteria yang dianalisis meliputi kemudahan penggunaan, variasi produk, kecepatan pengiriman, kemudahan pengembalian barang, dan responsivitas layanan pelanggan. Hasil analisis menunjukkan bahwa Tokopedia memiliki nilai tertinggi dalam kepuasan pelanggan dengan skor 0,9795, diikuti oleh Shopee (0,97) dan Lazada (0,9695). Kesimpulan dari penelitian ini adalah bahwa Tokopedia menjadi platform e-commerce terbaik berdasarkan tingkat kepuasan pelanggan. Penelitian ini memberikan wawasan bagi pengelola e-commerce untuk meningkatkan aspek-aspek yang berpengaruh terhadap kepuasan pelanggan, serta menjadi referensi bagi penelitian selanjutnya dalam bidang e-commerce. Diharapkan, dengan pengetahuan ini, platform e-commerce dapat bersaing lebih baik di pasar dan meningkatkan loyalitas pelanggan.
Co-Authors Acmad Mico Siti Nana Alfiyah