Browsing by Author "Sukamto"

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    PENERAPAN ALGORITMA FP-GROWTH UNTUK MENGANALISA POLA PEMBELIAN KONSUMEN PADA TOKO PAGARUYUNG DIESEL
    (Elfitra, 2023-12) Anjheli, Maena; Sukamto
    Pagaruyung Diesel store in Duri City has experienced Growth in both customers and product variety. The issue at hand is an imbalance in product inventory. Therefore, decisions need to be made based on the highest sales to efficiently manage inventory and enhance customer service. In this regard, transaction sales data is utilized to identify customer purchasing behavior. Data mining technology serves as a valuable tool in inventory information identification at Pagaruyung Diesel store. This technology employs pattern matching strategies and algorithms to uncover relationships within the data. One of the approaches used is the FP-Growth Algorithm, which allows the identification of common Item sets within the data. In this study, the FP-Growth Algorithm is applied to analyze purchasing patterns. The aim of this research is to implement the FP-Growth Algorithm method to analyze purchasing patterns at Pagaruyung Diesel store. The results are expected to assist in inventory management and decision-making. The research findings indicate that by using sales data for automotive spare parts from January to June 2022, the FP-Growth Algorithm method produces 5 association Rules with a Minimum Support of 1% and a Minimum Confidence of 50%. These results demonstrate that the FP-Growth Algorithm can be effectively applied to analyze purchasing patterns at Pagaruyung Diesel store.
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    SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS : LABERSA GRAND HOTEL AND CONVENTION CENTER)
    (Elfitra, 2023-11) Hutahaean, Yolli; Sukamto
    Employees are one of the most important assets owned by a company in its efforts to maintain survival, development, the ability to compete and earn profits. Good performance from each employee will certainly make the company benefit from the smooth running of the company. To maintain and improve the quality of each employee, one way is to carry out an assessment to select the best employees. This research aims to build a decision support system for selecting the best employees using the profile matching method with a case study of the Labersa Grand Hotel and Convention Center. This research uses three criteria, namely general, leadership and assessment over the last 6 months, each criterion has sub-criteria. The sub-criteria of the general criteria are quality of work results, quantity of work results, discipline and effectiveness as well as responsibility for work. The sub-criteria of one of the leadership criteria are problem handling and decision making, loyalty and caring, honesty, coordination and cooperation, planning and creation and accountability. The sub-criteria for the assessment criteria for the last 6 months are receiving a warning letter, being absent without permission, permission, illness and receiving a written award from the company. This decision support system produces the best employee ranking with the highest score being alternative A137 with a score of 4.87 and the lowest score being alternative A71 with a score of 3.99. This research has succeeded in building a decision support system for selecting the best employees using the profile matching method, and can help and make it easier for Labersa Grand Hotel and Convention Center in selecting the best employees.
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    SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PENCARI KERJA TERBAIK DI PT. PLN WILAYAH RIAU DAN KEPULAUAN RIAU MENGGUNAKAN METODE TOPSIS
    (2020-05) Oktaviani, Chairia; Sukamto
    PT. PLN (Persero) in serving society requires quality human resources. Quality of employees in supporting the advancement of a company is very important, so that many companies are working to have quality qualified employees. One way to overcome these problems is by capturing prospective employees in accordance with the criteria desired by the company, it's just that many companies are often problematic in the process of filing and sorting because it is done manually, the result becomes not in accordance with the desired criteria of a prospective employee company. So it takes a decision support system (DSS) with the method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for selection of employees who have several criteria such as the Endurance Test, Academic Test, Psych Test, Lab Test, And Interviews. Results can be concluded that the DSS employee acceptance using TOPSIS method produced a system that could provide the best applicant's recommendations in accordance with the criteria specified.