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Muhammad Syahrizal
Universitas Budi Darma, Medan
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Journal : Journal of Decision Support System Research

 1 
Sistem Pendukung Keputusan Pemilihan Customer Service Terbaik Menggunakan Metode WASPAS (Weight Aggregated Sum Product Assesment) Robiah Al-Adawiyah; Ritonga, Devi; Muhammad Syahrizal
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.38

Abstract

Customer service plays a very important and problematic role in forming the image of a company or organization, so with the help of customer service every customer or consumer can ask and use the information provided both about services and goods. Both verbal and non-verbal communication methods in customer service have a significant impact on the image of a company or organization. In order for the company's services to be provided optimally and maximally to customers, everyone must support each other. Qualification standards have a significant impact on excellent customer service in a company or organization. Effective customer service plays a key role in building good customer relationships and ensuring their satisfaction. Therefore, choosing the right customer service is important for companies as well as organizations. So we need a Decision Support System (SPK) in solving this problem. So that a Decision Support System (DSS) is needed in solving this problem. In this study using the Weight Aggregated Sum Product Assessment (WASPAS) method. This method uses an approach to selecting the highest and lowest values ??that can be optimized to provide more accurate results. Several methods on decision support systems in producing the best alternatives include SAW, WP, AHP, MOORA, MOOSRA and OCRA. WASPAS (Weight Aggregated Sum Product Assessment) is one of the methods that can do this to reduce errors or to optimize the evaluation of the selection of the highest and lowest values. This method is a unique combination of the MCDM approach, namely the weighted numerical model (WSM) and the Product Weight Model (WPM). One of the problems faced in the selection of customer service is due to the large number of people who register, therefore to determine the best customer service acceptance the company conducts data collection by determining the criteria and weights that must be met to carry out the calculations, so that the best alternative results can be obtained. it can be concluded that the WASPAS (Weight Aggregated Sum Product Assessment) method is very appropriate to use in selecting the best customer service. Evidenced by the results being in alternative (A1), namely Daughter as the best preference with a value of 3.19755, so that a decision support system with the WASPAS (Weight Aggregated Sum Product Assessment) method can help a company or a particular brand in choosing the best customer service to work together in companies or other agencies.
Sistem Pendukung Keputusan Penerimaan KIP Menggunakan Metode Multi-Objective Optimization by Ratio Analysis (MOORA) Eka Gustina Bancin; Ebenezer Bangun; Muhammad Syahrizal; Hetty Rohayani
Journal of Decision Support System Research Vol. 2 No. 2 (2025): January 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i2.93

Abstract

The Indonesia Smart Card for Higher Education (KIP Kuliah) is a government-funded scholarship program designed for students with strong academic potential but limited economic resources, as regulated in Minister of Education and Culture Regulation No. 12 of 2015 on the Indonesia Smart Program. Universitas Budi Darma Medan is one of the universities entrusted to accept and select prospective scholarship recipients. However, the large number of applicants requires a decision support system (DSS) to make the selection process more objective, efficient, and accurate. This study applies the Multi-Objective Optimization by Ratio Analysis (MOORA) method to determine KIP recipients. The MOORA method was chosen for its simplicity, flexibility, and effectiveness in weighting and ranking alternatives based on several predetermined criteria, namely number of achievement certificates, parents’ income, interview test scores, written test scores, and home ownership. Data from seven applicants were analyzed using weights established by the university. The results show that MOORA successfully generated a clear and measurable ranking, with alternative A5, Fredy Fau, obtaining the highest score of 0.1725 and ranked first as the best candidate for KIP assistance. Therefore, the application of the MOORA method within a DSS proves effective in assisting universities to carry out the selection process objectively and transparently.
Co-Authors Abdul Karim Ade Septi Rezeki Anggreani Binjori Advent Halawa Afri Nirmalasari Halawa Agung Dermawan Agus Minta Riang Zega Aida Sopia Aisyah, Sity Akbar, Aswin Akmal, Oktafiana Alwin Fau Amanda Pratama Amanudin Harahap Ananda, Rizky Anggia Arif Anri Muda Siregar Antonius Antonius Ardian Fadly Telaumbanua Ari Gunawan Rambe Armansyah Ritonga Asma Asma Baehaqi Berry Richard Ornos Sinambela Buang, Nursahar Cahyo, Robi Dwi Daulay, Nelly Khairani Dermawan, Agung Devi Purnama Sari Didi Prawira Suprayogi Dito Putro Utomo Dona Roni Tambunan Dwina Pri Indini Dwina Priindini Ebenezer Bangun Efidoren L Nainggolan Eka Gustina Bancin Ekawati, Yuni Andri Endhika Endhika Enzel Febrianti Telaumbanua Fadillah, Rizkah Fadlina Fince Tinus Waruwu Fitri Handayani Lubis Fuady Mahbub Garuda Ginting Halawa, Advent Hanif, Faizira Nur Hapipuddin Hapipuddin Haryati Haryati Hasanah, Nurul Riska Helfrida Hotmaria Sihite Hetty Rohayani Hotni Rotua Br Hutapea Hutabarat, Sumiaty Adelina Ida Mayanju Pandiangan Ilhamsyah Ilhamsyah Imam Saputra Intan Maharani Iwan Setia Budi Jamillah Nasution Jaya, Andi Eka Putra Karto Wijaya Karto Wijaya, Karto Kennedi Tampubolon Kevin Yanto Sarumaha Khairun Nisa Ulfa Khairunnisa Khairunnisa Kristian Siregar Kurnia Ulfa Lince Tomoria Sianturi Liza Handayani Lumban, Romayani Malango, Monika Stefani Manik, Lastri Mardin, Mardin Marta Zega Masriani . Matondang, Hasiholan Maulidza, Dwi Maya Sari Mei Warni Zendrato Mesran, Mesran Miya Putri Daulay Muammar Muammar, Muammar Muhammad Fajar Rizky Muhammad Rezki Wasallam Muhammad Sayuthi Murdani Murdani Murdani Murdani Murdani Murdani Murdani, Murdani Nelly Astuti Hasibuan Ngajudin Nugroho Nola Dita Puspa NS, Eka Widya Nugroho, Very Sapto Nurainun Hasanah Sinaga Nurlela Nurlela Nurlinda, Andika Oktavian Laksamana Suryo Ongah, Harun Pagan, Darmandra Mirza Pradana, Ari Purba, Rohan Kristini Purnama Sari, Dian Putri Ramadhani Rahayul Kahfi Rakhmaji, Iqbal Rangkuti, Fiqri Hidayat Renta Gracia Tampubolon Ridha Ismadiah Rika Irwanti Ritonga, Devi Rivalri K. Hondro Rivalri Kristianto Hondro Rizka Rahayu Pasaribu Rizky Maulana Pribadi, Rizky Maulana Roberto Valentinus Manurung Robiah Al-Adawiyah Rombekila, Aryani Ronda Deli Sianturi Sabrina, Elisa Saidi Ramadan Siregar Samsuri, Syahrul Sarwandi Wandi Septa Fenly Sinaga shara, yuni Siagian, Edward Robinson Simangunsong, Santi Sinurat, Sinar Siregar, Anggi Jaya Maulana Sitorus, Jepri Saprianto Situmorang, Dharma Bakti Soeb Aripin Suha Alvita Supiya Supiya Surya Darma Nasution Teresia Teti Ernawati Ndruru Tesa Aurelia Siregar Thesa Noveninta Ginting Ulfa, Kurnia Vina Winda Sari Wardi, Syah Yuanda, Richa Yuni Shara