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IMPLEMENTATION OF WEBSITE PERFORMANCE EVALUATION WITH SIMILARWEB ON ACADEMIC WEBSITES Ika Oktavia Suzanti; Fifin Ayu Mufarroha; Khusnul Fatimah; Doni Abdul Fatah; Hanifudin Sukri; Achmad Dafid
Jurnal Simantec Vol 10, No 2 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v10i2.14234

Abstract

Trunojoyo University Madura is a state university in Indonesia. The Trunojoyo Madura University website is used for information delivery media. The website can be accessed by anyone and used to make announcements for both students and outsiders. Based on this, the desired website quality must have high performance, usability, mobile friendliness, accessibility, SEO (Search Engine Optimization), connected to social media, and safe. This study was conducted to determine the level of usability through evaluating the performance of the academic website of Trunojoyo Madura University. Therefore, this study evaluates the performance of the website by using an automatic evaluation tool, namely SimilarWeb. This tool checks the level of popularity of a website both in terms of ranking and the number of visitors who access the website. In addition, measurements from the usability side were taken to determine the usability of the website obtained from the responses of students and visitors who have accessed the website. The results showed that by using SimilarWeb website traffic was obtained at a good level. Usability measurement has been carried out, as many as 58 respondents have answered 15 questions.
PEMETAAN HARGA RUMAH DENGAN MENGGUNAKAN MODEL STATISTIK : GEOGRAPHICALLY WEIGHTED REGRESSION Kukuh Winarso; Achmad Dafid
Rekayasa Vol 15, No 3: Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v15i3.21818

Abstract

Penentuan harga rumah di sebagian kota-kota besar di Indonesia dipengaruhi oleh banyak faktor, salah satunya adalah lokasi rumah. Lokasi rumah menunjukkan hubungan yang positip dengan harga rumah. Lokasi rumah dekat dengan pusat bisnis adalah salah satu hal yang menyebabkan harga rumah menjadi mahal. Disamping itu pusat pemukiman berdasar kepadatan penduduk di satu sisi menyebabkan harga rumah menjadi naik pada posisi yang lain menyebabkan harga rumah menjadi turun. Penelitian ini berbasis pada pemetaan harga rumah yang dipengaruhi oleh pusat bisnis dan pusat pemukiman penduduk dikota Surabaya. Pemetaan Harga rumah ini menggunakan metode Geographically Weighted Regression (GWR). adalah suatu teknik yang membawa kerangka dari model regresi sederhana menjadi model regresi terboboti.