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All Journal Cyberspace: Jurnal Pendidikan Teknologi Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Media Informatika J-Icon : Jurnal Komputer dan Informatika
Kikye Martiwi Sukiakhy
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Journal : J-Icon : Jurnal Komputer dan Informatika

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBJEK WISATA ACEH MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Kikye Martiwi Sukiakhy; Cut Vita Rajiatul Jummi
J-Icon : Jurnal Komputer dan Informatika Vol 9 No 1 (2021): Maret 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v9i1.3835

Abstract

The number of tourists visiting Aceh increases every year . This is due to the fact that there are numerous kinds of tourist attraction in Aceh. These tourism objects are scattered from districts to cities in Aceh. Accessibility in reaching these tourist destinations is also effortless. It is challenging to determine which tourism object you want to visit, therefore better search more information prior visit the destination. Afterwards, prospective tourists compare and choose tourism objects that suitable with the criteria. Decision support systems can assist prospective tourists in choosing tourist destinations using the Simple Additive Weighting (SAW) method. The data used in this study derived from internal data as well as external data, several tourist destinations with several criteria to be used are alternatives to be compared. In this study, there are several criteria needed to guide prospective tourists to take decisions, such as distance, cost, facilities, time and age. This study used interviews, literature studies and data analysis method. The criteria for distance and cost are the criteria that have the greatest contribution in determining the best alternative tourist destination in Aceh. Based on the entirely alternatives and criteria in this study, the Baiturrahman Grand Mosque was chosen as the best alternative tourist destination in Aceh with a total preference value of 3. The SAW method is an effective and practical calculating method to determine the best tourist destination in Aceh, therefore the potential tourists will conviniently determine tourist destination that suitable their criteria and desires.
SISTEM PAKAR DIAGNOSA PENYAKIT GINJAL BERBASIS WEB MENGGUNAKAN METODE CERTAINTY FACTOR Kikye Martiwi Sukiakhy; Sri Azizah Nazhifah; Junidar Junidar
J-ICON : Jurnal Komputer dan Informatika Vol 11 No 1 (2023): Maret 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i1.9931

Abstract

There are still limited health facilities in Indonesia, especially those dealing with kidney disease and the lack of knowledge and information in the community regarding the early symptoms of kidney disease, causing the death rate caused by this disease to continue to increase every year. An expert system that can diagnose kidney disease is urgently needed to provide a solution to this problem with the hope that people can easily obtain information regarding the symptoms of kidney disease they are experiencing, and that people can make a diagnosis independently. A method called the certainty factor (CF) is used in the expert system in this study. Diagnosis of kidney disease based on various symptoms experienced by the user is the output generated by this expert system. Based on the symptoms entered by the user, the system will then look for the highest CF value and then the results will be displayed to the user. The displayed results include 17 symptoms, disease name, diagnosis results and solutions. The functional tests carried out went as expected for the three access rights, namely admin, expert and user can access all functions and no errors were found in the system, using both the Windows 8 and Windows 10 operating systems for admin, expert and user access.
Co-Authors . Zulfan Anta Rini Utami Cut Vita Rajiatul Jummi Cut Vita Rajiatul Jummi Junidar Junidar Muslim Muslim Odli Aulia Siti Nur Aisha Sri Azizah Nazhifah Sri Azizah Nazhifah