Selection of outbound locations in Gunung Kidul using a Multi- Object Optimization Method Based on Reporting Analysis

Anton Setiawan Honggowibowo, Mardiana Irawaty, Istiqomah Nuraini

Abstract


Decision support system (DSS) is a computer-based system that can help users make decisions. One of the DSS applications is to select outbound locations in Gunungkidul by using the Multi-Object Optimization method on the Base Ratio of Analysis (MOORA). Outbound is an open-air learning method based on direct experience presented in the form of games, discussions and adventures. So that participants will get feedback about the impact of the activities carried out which is useful for self-development in the future. The application of the MOORA method is a method that can determine the weight of each criterion, then proceed with a ranking process that will select the best alternative from a number of available alternatives. In this study an application for outbound location selection in Gunungkidul was made using the MOORA method, an application designed based on a website, this test was carried out using black box testing. The results of this study show that the best location based on the criteria weight and ranking with several alternatives is the location of the Nglanggeran Ancient Volcano with a value of 0.1507, Sri Getuk Waterfall with a result of 0.0909, Kampung Jelok with a result of 0.01497, Goa Pindul with a result of 0.00182, Sundak Beach with a result The result is -0.07192, Wulenpari with the result -0.08854, and the last one is Indrayanti beach with the result -0.13179.

Keywords


Decision support system (SPK), Outbound, MOORA

References


Thalia, Siti. et all. 2018. Pengaruh Permainan Outbound Terhadap Kecerdasan Kinestik Anak pada Kelompok B di Bandar Klippa. Jurnal Raudhoh, Vol 6, No 2.

Hakim. et all. 2016. Pengembangan Karakter Melalui Kegiatan Outbound. Jurnal Moral Kemayrakatan. vol 1. No 2.

Buhori Muslim1, Alfis Arif. 2019. Decision Support System for Determining Website-Based Fruit Quality in Pagar Alam Fruit Farmers Group. Prosiding SENATIK. Vol V.

Ivan Novandy S, Anggraini Kusumaningrum. 2015. Sistem Pendukung Keputusan untuk Menentukan Ukm/hmj Penerima Bantuan Dana Taktis dengan Metode Electre dan Weighted Product. Jurnal Compiler. Vol 4. No 1.

Yuliani Indrianingsih. 2016. Perancangan Sistem Pendukung Keputusan dalam Penentuan Jenis Tanaman Palawija Berdasar Kandungan Zat Lahan Guna Meningkatkan Produktivitas Lahan (Studi Kasus di Kabupaten Gunungkidul). Jurnal Angkasa. Vol 8. No 1.

Anton Setiawan Honggowibowo, Hero Wintolo, Yuliani Indrianingsih, Regina Maula Adiba. 2020. Decision Support System of Lecturer Selection Recommendation with Collaborative Filtering Method. International Journal on Advanced Science Engineering Information Technology (IJASEIT). vOL 10. nO 2.

Mesran, et all. 2018. Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat (Jamkesmas) Menerapkan Metode MOORA. Jurnal Media Informatika Budidharma, Vol 2, No 2.

Adisyahputra Manik, 2020. Penerapan MOORA dalam Pendukung Keputusan Kelayakan Penerimaan Bantuan Program Keluarga Harapan (PKH). Jurnal Sistem Komputer dan Informatika (JSON), Vol 2, No 1.

A. T. Hidayat, N. K. Daulay, and Mesran. 2020. Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Pemilihan Wiraniaga Terbaik. Journal of Computer System Informatics, vol. 1, no. 4, 2020.

Pasaribu, Santri W. et all. 2018. Implementasi Multi-Objective Optimization On The Base Of Ratio Analysis (MOORA) Untuk Menentukan Kualitas Buah Mangga Terbaik. Jurnal Riset Komputer (JURIKOM), Vol 5. No 1.

T. Limbong et al., 2020 Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis.




DOI: http://dx.doi.org/10.28989/senatik.v6i0.426

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