Browsing by Author "Sukamto"

Now showing 1 - 10 of 10
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    Akurasi Dan Akselerasi Metode Deteksi Tabrakan Objek Pada Collaborative Virtual Environment
    (2015-04-13) Sukamto; Elfizar
    Metode deteksi tabrakan objek merupakan bagian yang paling penting dalam aplikasi-aplikasi tiga dimensi (3D). Ditengah tingginya kuantitas dan kualitas penelitian tentang metode ini, namun implementasinya pada aplikasi collaborative virtual environment (CVE) cukup rendah. CVE yang ada saat ini hanya menggunakan metode deteksi tabrakan objek yang sederhana, yaitu Axis Aligned Bounding Box (AABB). Hal ini menyebabkan rendahnya kualitas (akurasi dan akselerasi) CVE yang dihasilkan untuk merepresentasikan suatu keadaan sebenarnya di dunia nyata (real-world). Oleh sebab itu penelitian tahun kedua ini bertujuan untuk menemukan metode baru dalam pendeteksian tabrakan objek menggunakan output yang telah dihasilkan pada penelitian tahun pertama. Berdasarkan batasan-batasan yang dihasilkan pada penelitian tahun pertama, diperlukan pemilihan satu metode mutakhir dari beberapa metode yang telah dianalisa. OBB adalah metode yang tepat untuk digunakan pada CVE berdasarkan akurasi dan fleksibilitasnya dibandingkan dengan metode lainnya. Selanjutnya, tidak memungkinkan untuk langsung menggunakan OBB pada CVE karena kompleksitasnya. Oleh karena itu, implementasi OBB pada CVE dengan arsitektur simulator berbasis objek adalah suatu cara untuk mengurangi workload yang ada pada simulator. Pendekatan ini diambil karena hasil penelitian tahun pertama menjelaskan bahwa penambahan workload pada CVE dengan sendirinya akan menurunkan performa aplikasi CVE secara signifikan.
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    Formulasi Probabilitas Untuk Alur Optik Dari Suatu Urutan Citra Hasil Input Visual
    (2015-07-03) Elfizar; Sukamto; Firdaus
    Metode Gradien secara luas telah digunakan didalam perhitungan alur optik dari suatu urutan citra hasil input visual. Sebagai perluasan dari metode ini telah dikembangkan sebuah metode altematif yang menghitung distribusi probabilitas dari alur optik. Penggunaan distribusi dapat melibatkan segala ketidakpastian dalam perhitungan alur optik yang sebelumnya diabaikan
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    MENYELESAIKAN PERSOALAN OPTIMISASI TERPADU UNTUK PERSOALAN TRANSPORTASI DAN PERSOALAN INVENTORI
    (2013-03-26) Ningrum, Karinda Puspita; Nababan, T. P.; Sukamto
    We discussed the integrated optimization problem which is closely related to the issue of inventory and transportation problems. An alternative model called the model ITIO (Inventory-Transportation Integrated Optimization) will be used to solve the optimization problem of integrated inventory and transportation. Here we review the work done by Huanco Tang, Lixin Tian and Lin Jia International Journal of Nonlinear Science. 1 (8), 92-96 (2009) for a single product optimization problem
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    MODIFIKASI METODE HUNGARIAN UNTUK PENYELESAIAN MASALAH PENUGASAN
    (2013-06-25) Idris; Lily, Endang; Sukamto
    This paper discusses a new method resulting from the Hungarian method modification to solve an assignment problem. This new method uses one of the basic properties of determinant to reduced the cost matrix in assignment problem to obtain the optimal solution. This method can be utilized for different types of assignment problem with minimize or maximize objective functions.
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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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    PERMASALAHAN PROGRAM TAK-LINIER MULTI-OBJEKTIF DENGAN FUNGSI TUJUAN PARAMETER FUZZY
    (2014-05-22) Sukamto
    The multiobjective nonlinear programming problems with fuzzy parameters could be formulated to be nonfuzzy multiobjective nonlinear programming problems by using α-level set. The nonfuzzy multiobjective nonlinear programming problem was solved by weighting method approach where the weighting set is obtained by using compromise solution, which was found the minimum and maximum of each objective function
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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.
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    TINGKAT PENGENDALIAN DIABETES MELITUS TIPE 2 BERDASARKAN HBA1C DI POLIKLINIK METABOLIK ENDOKRIN RSUD ARIFIN ACHMAD PEKANBARU
    (2014-02-25) Sukamto; Fridayenti; Karimi, Jazil
    Diabetes mellitus (DM) is a group of metabolic diseases, the characteristic is hyperglycemia that causes by abnormality of insulin secretion, insulin action or both of it. Unoptimal controlling of DM may causes metabolic disorders and cronic vascular disorders. The aim of this study was to know the Level Controlling of Type 2 Diabetes Mellitus Base on HbA1c in Department of Metabolic Endocrinology Arifin Achmad General Hospital Pekanbaru. The type of research was cross sectional descriptive. The samples are patients with type 2 DM according to inclusion criteria as 38 respondents. In this study, Respondents took HbA1c examination with HPLC method to evaluate the level of controlling DM. In this study it was found that the level controlling of DM type 2 of 36 respondents were in poor and moderate control criteria with the percentage of poor control was 63% and percentage of moderate control was 32%. Respondents who the level controlling of DM type 2 in good control criteria only 2 patients with percentage as 5%. From this study, it can be concluded that the level controlling of type 2 DM base on HbA1c in metabolic endocrinology Arifin Achmad General Hospital Pekanbaru is poor and moderate.