Combination of Matrix Simple Additive Weighting Algorithm (SAW) on the Reference URICA-Scale to Measure Readiness for Change in Narcotic Rehabilitation Patients

Soni Adiyono(1*), Rahmat Gernowo(2), Adi Wibowo(3)
(1) Diponegoro University
(2) Departement of Physics Faculty of Science and Mathematics, Universitas Diponegoro
(3) Departement of Computer Science, Informatics, Universitas Diponegoro
(*) Corresponding Author
DOI : 10.30604/jika.v7iS1.1118

Abstract

This study aims to design a matrix combination in the URICA-Scale calculation and the simple additive weighting (SAW) method that can be used as a measuring tool to evaluate the readiness of drug rehabilitation patients using the University of Rhode Change Assessment Scale (URICA-Scale) as a desire combined with simple additive weighting (SAW) method in order to facilitate the design of electronic information systems regarding assessment tests with reference to URICA-Scale. In software development, the design modeling step in the system is one part of the (System Development Life Cycle) contained in the Waterfall model. The results of this study are able to provide an arrangement of calculation matrices where the combination of these matrices contributes to programmers in implementing them into certain programming languages.

 

Abstrak: Penelitian ini bertujuan untuk merancang desain kombinasi matriks pada perhitungan URICA-Scale dan metode simple additive weighting (SAW) yang dapat digunakan sebagai alat ukur guna mengevauasi tentang kesiapan pasien rehabilitasi narkotika dengan menggunakan University of Rhode Change Assesment Scale (URICA-Scale) sebagai acuan yang dikombinasikan dengan metode simple additive weighting (SAW) agar dapat mempermudah dalam merancang sistem informasi elektronik mengenai tes asesmen dengan acuan URICA-Scale. Dalam pengembangan perangkat lunak langkah pemodelan desain pada sistem merupakan salah satu bagian dari (System Development Life Cycle) yang terdapat pada model Waterfall. Hasil penelitian ini mampu memberikan susunan matrix perhitungan dimana dengan adanya gabungan dari matriks tersebut memberikan kontribusi bagi programmer dalam melakukan implementasi kedalam Bahasa pemrograman tertentu.

Keywords


URICA-Scale; Readiness of Change; Assesment; simple additive weighting (SAW); Information System

References


Aeni, N. &. (2021). The Effectiveness of The Group Counseling Towards Motivation to Heal in Initiates in Drug Abuse Case. Indonesian Contemporary Nursing Journal, 30–37. https://doi.org/10.20956/icon.v6i1.12331

Aguiar, A. C. (2020). Stages of Readiness in Patients With Dysphonia: A Proposal Based on Factor Analysis Using the URICA-V Scale. Journal of Voice, 547–558. https://doi.org/10.1016/j.jvoice.2018.12.004

Aguiar, A. C. (2021). Urica-VV Scale: A New Research Perspective of The Stage of Readiness for Treatment in Patients with Dysphonia. Journal of Voice, In Press Corrected Proof. https://doi.org/10.1016/j.jvoice.2021.06.004

Field, C. A. (2009). Construct, concurrent and predictive validity of the URICA: Data from two multi-site clinical trials. Drug and Alcohol Dependence, 115–123. https://doi.org/10.1016/j.drugalcdep.2008.12.003

Hannats Hanafi Ichsan, M. &. (2021). Fuzzy Logic and Simple Additive Weighting Implementation on River Flow Controlling System. Journal of Physics: Conference Series, 1789(1). https://doi.org/10.1088/1742-6596/1789/1/012006

Hidayat, W. A. (2020). Decision Support System for Selection of Staples Food and Food Commodity Price Prediction Post-COVID-19 Using Simple Additive Weighting and Multiple Linear Regression Methods. 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020 (pp. 45–50). Yogyakarta: IEEE Xplore. https://doi.org/10.1109/ICOIACT50329.2020.9332095

Jumaryadi, Y. &. (2021). Implementation of Simple Additive Weighting to Determine Priority for Handling Customer Complaints. IJISTECH (International Journal of Information System & Technology), 17. https://ijistech.org/ijistech/index.php/ijistech/article/view/110/110

Munte, T. (2020, Juni 26). Darurat Narkoba di Indonesia, Hinca Ingatkan Jokowi. Retrieved from https://www.tagar.id/: https://www.tagar.id/darurat-narkoba-di-indonesia-hinca-ingatkan-jokowi. https://www.tagar.id/darurat-narkoba-di-indonesia-hinca-ingatkan-jokowi

Polaschek, D. L. (2010). The assessment of offending-related stage of change in offenders: Psychometric validation of the URICA with male prisoners. Psychology, 305–325. https://doi.org/10.1080/10683160802698766

Ramadani, R. &. (2021). Literature Review Dukungan Sebaya Dan Kepatuhan Residen Pengguna Narkoba Menjalani Therapeutic Community. Journals.Umkt.Ac, 1209–1216. https://journals.umkt.ac.id/index.php/bsr/article/view/1907

Republik Indonesia, Peraturan Menteri Kesehatan Nomor 4 Tahun 2020 tentang penyelanggaraan institusi penerima wajib lapor 2020

Rohman, M. Z. (2020). The Medical Facilities Selection Based on Location-Based Services Application Using SAW and TOPSIS Algorithm. Journal of Physics: Conference Series, 1577(1). https://doi.org/10.1088/1742-6596/1577/1/012012

Safei, M. &. (2017). Sistem Monitoring Data Rehabilitasi Institusi Nasional Provinsi Kalimantan Timur. Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Informasi (pp. Vol. 2, No. 2). Samarinda: Mulawarman University. http://e-journals.unmul.ac.id/index.php/SAKTI/article/view/758/pdf

Sahambangung, J. R. (2018). Sistem Klasifikasi Pengguna Narkoba Menggunakan Metode K-Nearest Neighbor. Jurnal Ilmiah Realtech, 169–179. https://repo.unikadelasalle.ac.id/323/

Setyawan A, F. Y. Arini, and I. Akhlis, (2017). “Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara,”. Sci. J. Informatics, 34–42. https://journal.unnes.ac.id/nju/index.php/sji/article/view/8458/6241

United Nations Office on Drugs and Crime. (2018). Executive Summary Conclusions And Policy Implications. Retrieved from https://www.unodc.org/wdr2018/prelaunch/WDR18_Booklet_1_EXSUM.pdf

Yunitasari, P. (2018). Pengaruh Dukungan Keluarga Terhadap Kekambuhan Pecandu Narkoba Rehabilitasi Di Rsj Grhasia Yogyakarta. Medika Respati : Jurnal Ilmiah Kesehatan, 24–31. https://doi.org/10.35842/mr.v13i4.198


Article Statistic

Abstract view : 642 times
Fulltext (Bahasa Indonesia) views : 376 times

Dimensions Metrics

How To Cite This :

Refbacks

  • There are currently no refbacks.


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