IMPLEMENTATION OF SMARTER AND ORESTE METHODS FOR DETERMINING UNDERDEVELOPED VILLAGES

Riska Amalia Praptiwi, Suaidah Suaidah, Rakhmat Dedi Gunawan, Ryo Cahyo Prakoso, Deddy Rudhistiar, Patricia Evericho Mountaines, Thesa Adi Saputra

Abstract


Villages have less development than cities because villages have bigger problems such as higher poverty rates, lower health, lower human resources, facilities and infrastructure that are more difficult to reach than cities. Therefore we need the concept of sustainable village development. In sustainable development, the aspect of development is not only aimed at present society but also society in the future. Before making the concept of sustainable village development, so that village development in a city/regency/district area is conceptualized evenly, decision support is needed to identify underdeveloped villages. Some indicators villages or underdeveloped regions mostly related to the survey of Potensi Desa activities by BPS from 1980 to 2014 continually participated. Related to that conditions, criteria obtained underdeveloped villages by DPU and indicator data PODES by BPS, it can be applied on Decision Making System. In this research selected case studies are census data from Potensi Desa by BPS in Magetan. This system uses SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) methods as the calculation of the weights to the criteria and ORESTE methods used for the rankings of underdeveloped villages. In this system SMARTER methods using a weighting formula Rank Order Centroid (ROC) that is proportional weighting which reflects the distance and the priority of each criteria appropriately. Furthermore, the ranking process using Oreste methods by three main stages that is Projection Matrix position, Ranking of projections and Agegration of Global Ranking. Testing of this system, which one is changing the parameters of Oreste (α value) and obtained compatibility reach 91.06% of accuracy to the experts data of underdeveloped villages from the BPS Magetan by the number 100% alternative data with value 0:01 of alpha


Full Text:

PDF

References


“Pentingnya Pembangunan Desa dalam Pembangunan Nasional,” materplandesa, Jul. 14, 2021.

S. Anggoro, M. Drs. Imrona, and A. P. Kurniati, “Sistem Pendukung Pengambilan Keputusan Daerah Target Pemasaran dengan Metode Smarter dan Oreste,” Sistem Pendukung Pengambilan Keputusan Daerah Target Pemasaran dengan Metode Smarter dan Oreste, pp. 1–4, 2006.

R. D. Affandi, H. Pratiwi, Azahari, and M. Ibnu Sa’ad, “Application of the SMARTER Method in Determining the Whitening of Study Permits and Teacher Study Tasks,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 2, pp. 315–325, Feb. 2023, doi: 10.34306/att.v5i2.311.

S. Hidayat, Tulus, and P. Sirait, “Weighting Optimization of Decision Matrix in Fuzzy TOPSIS Using SMARTER Method,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Jul. 2019. doi: 10.1088/1742-6596/1235/1/012034.

H. Liao, X. Wu, X. Liang, J. Xu, and F. Herrera, “A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 6, pp. 3793–3807, Dec. 2018, doi: 10.1109/TFUZZ.2018.2849368.

D. Alita, I. Sari, and A. Rahman Isnain, “PENERAPAN NAÏVE BAYES CLASSIFIER UNTUK PENDUKUNG KEPUTUSAN PENERIMA BEASISWA,” JDMSI, vol. 2, no. 1, p. 702022, 2021.

“Indeks Pembangunan Desa 2018”.

X. Wu and H. Liao, “An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making,” Information Fusion, vol. 43, pp. 13–26, Sep. 2018, doi: 10.1016/j.inffus.2017.11.008.

I. G. I. Sudipa, P. A. Cakranegara, M. W. A. Ningtyas, E. Efendi, and A. J. Wahidin, “Penilaian Aspek Keaktifan Belajar Mahasiswa Menggunakan Metode ORESTE,” Remik, vol. 6, no. 3, pp. 436–447, Aug. 2022, doi: 10.33395/remik.v6i3.11628.




DOI: https://doi.org/10.33365/jdmsi.v4i2.3239

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Riska Amalia Praptiwi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Organized by: The S1 Information Systems Study Program, Faculty of Engineering and Computer Science
Published by: Universitas Teknokrat Indonesia
Website: https://ejurnal.teknokrat.ac.id/index.php/JDMSI
Email: jdmsi@teknokrat.ac.id
Address: ZA. Pagar Alam Street No. 9 -11, Labuhan Ratu, Bandar Lampung, Indonesia 35132
Creative Commons License
Article Publish in Jurnal Data Mining dan Sistem Informasi are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License