Lamp Selection in the Library Lighting System using the Fuzzy AHP Method
Abstract
Library is an important aspect that must exist in an educational institution because it is one source of knowledge and learning. Reading activities are the main activities carried out in the library, so the lighting aspect is one aspect that must be considered to create a good library environment. The selection of lamps as artificial light sources must be adjusted to the needs. The selection of lights can be done using the Multi Attribute Decission Making (MADM) method. One of the MADM methods used to analyze parameters and decision making criteria is Fuzzy Analytical Hierarchy Process (Fuzzy AHP). Fuzzy AHP method is the development of the AHP (Analytical Hierarchy Process) method which consists of matrix elements that are represented by fuzzy numbers. Although AHP can be used to handle quantitative and qualitative criteria in MADM, fuzzy AHP is considered able to describe vague decisions better than AHP. Besides that, Fuzzy AHP is also able to cover the subjectivity problem in AHP. In this study, the respondents are some people who are considered experts in providing judgments and decisions related to the process of selecting lights in the library. The party is the staff of the Household Section as the party in charge of administration regarding the procurement of goods in the Library, the BMN Managing staff of the electricity section as the party responsible technically about the electrical equipment in the Library and the Procurement Services Unit staff as the party responsible for procurement of goods. There are three alternative lighting brands used in this study, namely Philips, Hannoch and OSRAM. Three alternative lighting brands are used because they have a product with a lumen value that matches the lumen needs of each lamp in the Library. Based on the results of ranking using the fuzzy AHP method, it was found that the lamp chosen at priority one was Philips with a weight of 43%, priority two was OSRAM with a weight of 38%, and priority three was Hannoch with a weight of 18%.
References
Anshori, Y., 2012, Pendekatan Triangular Fuzzy Number Dalam Metode Analytic Hierarchy Process, Jurnal Ilmiah Foristek, 2(1), 126–135.
Bai, K., Zhu, X., Wang, J., & Zhang, R., 2018, Some partitioned Maclaurin symmetric mean based on q-rung orthopair fuzzy information for dealing with multi-attribute group decision making, Symmetry, 10(9), 383. doi: 10.3390/sym10090383.
Beşikçi, E. B. et al., 2016, An application of fuzzy-AHP to ship operational energy efficiency measures, Ocean Engineering, 121, 392–402. doi: 10.1016/j.oceaneng.2016.05.031.
Ekastini, Kusrini dan Luthfi, E. T., 2018, Penerapan Metode Fuzzy Analytical Hierarchy Process untuk SPK Penyeleksian Naskah Layak Terbit, Creative Information Technology Journal, 4(2), 117–126. doi: 10.24076/citec.2017v4i2.103.
Elveny, M. dan Rahmadsyah, 2014, Analisis Metode Fuzzy Analytic Hierarchy Process (F-AHP) Dalam Menentukan Posisi Jabatan, TECHSI - Jurnal Penelitian Teknik Informatika, 4(1), 111–126.
Fajri, M., Putri, R. R. M. dan Muflikhah, L., 2018, Implementasi Metode Fuzzy Analytic Hierarchy Process (F-AHP) Dalam Penentuan Peminatan di MAN 2 Kota Serang, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, 2(5), 2109–2117.
Hadikurniawati, W. dan Amin, I. H. Al, 2016, Multi-Attribute Decision Making Dalam Pemilihan Lampu Pada Sistem Pencahayaan Lapangan Badminton,” Jurnal Informatika Upgris, 2(2), 75–82. doi: 10.26877/jiu.v2i2.1267.
Kaganski, S., Majak, J. dan Karjust, K., 2018, Fuzzy AHP as a tool for prioritization of key performance indicators, Procedia CIRP. Elsevier B.V., 72, 1227–1232. doi: 10.1016/j.procir.2018.03.097.
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., Nor, K. M., & Khoshnoudi, M., 2016, Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework, Energy. Elsevier Ltd, 117, 131–148. doi: 10.1016/j.energy.2016.10.076.
Mardhikawarih, D. A., Jauhari, W. A. dan Rosyidi, C. N., 2012, Pemilihan Pemasok Drum Pelumas Industri Menggunakan Fuzzy Analytical Hierarchy Process,” Performa, 11(1), 67–74.
Milaningrum, T. H., 2015, Optimalisasi Pencahayaan Alami dalam Efisiensi Energi di Perpustakaan UGM, in Prosiding Seminar Topik Khusus, 1–10.
Nirmala, G. dan Uthra, G., 2019, AHP based on triangular intuitionistic fuzzy number and its application to supplier selection problem, Materials Today: Proceedings. Elsevier Ltd., 16, 987–993. doi: 10.1016/j.matpr.2019.05.186.
Omar, O., García-Fernández, B., Fernandez-Balbuena, A. A., & Vázquez-Moliní, D., 2018, Optimization of daylight utilization in energy saving application on the library in faculty of architecture, design and built environment, Beirut Arab University, Alexandria Engineering Journal, 57(4), 3921–3930. doi: 10.1016/j.aej.2018.10.006.
Saaty, T.L., 1994, Fundamental of Decision Making and Priority Theory with the Analytical Hierarchy Process, Pittsburg: RWS Publication.
Saaty, T. L., & Vargas, L. G., 2012, The seven pillars of the analytic hierarchy process. In Models, methods, concepts & applications of the analytic hierarchy process, 23-40, Boston, MA: Springer.
Shega, H. N. H., Rahmawati, R. dan Yasin, H., 2012, Penentuan Faktor Prioritas Mahasiswa Dalam Memilih Telepon Seluler Merk Blackberry degan Fuzzy AHP, Jurnal Gaussian, 1(1), 73–82.
Sonalitha, E., Sarosa, M. dan Naba, A., 2015, Pemilihan Pemasok Bahan Mentah pada Restoran Menggunakan Metode Fuzzy Analytical Hierarchy Process, Jurnal EECCIS, 9(1), 49–54.
Zarghami, E., Azemati, H., Fatourehchi, D., & Karamloo, M., 2018, Customizing well-known sustainability assessment tools for Iranian residential buildings using Fuzzy Analytic Hierarchy Process, Building and Environment, 128, 107-128. doi: 10.1016/j.buildenv.2017.11.032.
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