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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar IJISTECH (International Journal Of Information System & Technology) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Lentera Pengabdian Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Annisa Fadillah Siregar
Universitas Budi Darma, Medan
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Journal : IJISTECH

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Recommendation System for Selection of Beach Tourist Attraction in Serdang Bedagai Applying the TOPSIS Algorithm Annisa Fadillah Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.230

Abstract

One of the regencies in North Sumatra, specifically the Serdang Bedagai Regency, has many exciting beach attractions for the public to visit. Each beach attraction offers its own excellence. In this circumstance, it could be a hesitation which to decide on, considering that there are a great number of beaches lying in the Serdang Bedagai Regency. This research uses five criteria such as facilities, security, hygiene, road access, and price. As well as the alternatives of several beach attractions such as Pondok Indah beach, Mutiara beach, Klang beach, Cermin beach, Romantic beach, Gudang Garam beach, Sri Mersing beach, Bali Lestari beach, Wong Rame beach, and Cemara Kembar beach. Therefore, a system is built to be used for the public in deciding on beach attractions by applying a recommendation system for selecting any beach attractions. According to the calculations in table 3.3 with the RPI as the reference value. The highest RPI value among beach attractions is the Bali Lestari beach with an RPI value of 1, the second is Romantic beach with an RPI value of 0.462, and Cermin beach with an RPI value of 0.462
The Application of the MOORA Method on Recommendations for Selection of Promotional Media for Nurul Izzah Kindergarten Siregar, Annisa Fadillah
IJISTECH (International Journal of Information System and Technology) Vol 7, No 1 (2023): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i1.303

Abstract

Nurul Izzah Kindergarten is one of the kindergartens located in Deli Tua District, Deli Serdang Regency, North Sumatra. Nurul Izzah Kindergarten has an educational concept of learning either religion or other general education without losing the playful children's world. However, the Deli Tua District community in Deli Serdang Regency is not very familiar with Nurul Izzah Kindergarten, therefore promotion is needed. In this matter, a decision support system is necessary on aiming to recommend the priority of media promotions using the MOORA method. The MOORA method is used to calculate the weight value of each attribute, then the process of which alternative ranking is the most recommended according to the results of the highest Yi calculation, some of these alternatives are Tiktok, Instagram, Facebook, Brochures, and Posters. For recommendations for promotional media, several criteria are required such as the cost, reach, attractiveness, and completeness of information. Based on the calculation of the MOORA (Multi-Objective Optimization based on Ratio Analysis) method for each alternative, the highest Yi is Tiktok with 0.3306 and the second highest Yi is Instagram with 0.2956.
Co-Authors Ade Rizka Aritonang, Reza Sri Rezeki Devi, Wanda Tofani Dito Putro Utomo Fahrezi, Azrial Farid Akbar Siregar Imam Saputra Imam Saputra Kurnia Ulfa Manik, Jens Presisken Mesran, Mesran Miya Andriyani Nelly Astuti Hasibuan Nola Dita Puspa Rizka, Ade Rizkah Fadilllah Sari, Arini Vika Setiadi, Eka Widya Ningsih Simangunsong, Evi O Sinurat, Sinar