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All Journal Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Dinamika Informatika (JDI)
Juniana Husna
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Computer Science & IT Engineering Other

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SISTEM PENGAMBILAN KEPUTUSAN MENGGUNAKAN TOPSIS FUZZY MCDM UNTUK PEMILIHAN TEMPAT WISATA BERBASIS WEB Sanusi Sanusi; Juniana Husna
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 4, No 1 (2018): Februari
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v4i1.4889

Abstract

Aceh besar memiliki ciri khas wisata alam yang beragam. Dalam memilih tempat wisata tentu sangat tidaklah mudah selain faktor jarak, biaya, transportasi dan jumlah aggota keluarga juga perlu dipertimbagkan supaya pemilihan tempat wisata yang dikunjungi oleh masyarakat sesuai dengan keinginannya dan keuangan. Perancangan aplikasi yang akan dibangun bertujuan untuk pengambilan keputusan para wisatawan yang hendak bepergian ke lokasi wisata pantai berdasarkan kriteria yang dapat dipilih berupa jarak, biaya, waktu, transportasi dan keamanan. Manfaat yang diperoleh dapat memberikan informasi tempat wisata yang akurat serta memberikan kemudahan bagi pengunjung dalam memilih lokasi wisata. Penelitian ini menggunakan penggabungan dari tiga metode dalam proses analisisnya yaitu TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Logika Fuzzy, dan MCDM (Multiple Criteria Decision Making). Sedangkan model pengembangan perangkat lunak menggunakan model waterfall. Hasil yang diperoleh bahwa Aplikasi sistem pengambilan keputusan dengan menggunakan fuzzy TOPSIS MCDM dalam pemilihan tempat wisata berbasis web di Aceh Besar mampu memberikan rekomendasi pilihan sesuai dengan kriteria yang diinginkan pengunjung dan dapat memberikan urutan atau perangkingan prioritas dengan nilai terbesar diantara loksai wisata yang lainnya. Dapat membantu pihak Dinas Kebudayaan, Pariwisata, Pemuda dan Olahraga Kabupaten Aceh Besar.
Modeling Statistical Downscaling for Prediction Precipitation Dry Season in Bireuen District Province Aceh Juniana Husna; Sanusi Sanusi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 2 (2019): September 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v2i2.7518

Abstract

The Asian-Australian monsoon circulation specifically causes the Indonesian region to go through climate changebility that impacts on rainfall variability in different Indonesia’s zone. Local climate conditions such as rainfall data are commonly simulated using GCM time series data. This study tries to model the statistical downscaling of GCM in the form of 7x7 matrix using Support Vector Regression (SVR) for rainfall forecasting during drought in Bireuen Regency, Aceh. The output yields optimal result using certain parameter i.e. C = 0.5, γ = 0.8, d = 1, and ↋= 0.01. The duration of computation during training and testing are ± 45 seconds for linear kernels and ± 2 minutes for polynomials. The correlation degree and RMSE values of GCM and the actually observed data at Gandapura wheather station are 0.672 and 21.106. The RSME value obtained in that region is the lowest compared to the Juli station which is equal to 31,428. However, the Juli station has the highest correlation value that is 0.677. On the other hand, the polynomial kernel has a correlation degree and RMSE value equal to 0.577 and 29,895 respectively. To summary, the best GCM using SVR kernel is the one at Gandapura weather station in consideration of having the lowest RMSE value with a high correlation degree.
Setubully Akprind: Integrasi Whistleblowing dalam Sistem Informasi Pelaporan Bullying di Institut Sains & Teknologi Akprind Yogyakarta Erna Kumalasari Nurnawati; Muhammad Adji Pratama; Juniana Husna
Jurnal Dinamika Informatika Vol 12 No 1 (2023): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bullying in cyberspace, including against students, is common and much goes unreported. A system needs to be created, where someone who gets bullied reports it without worrying about being exposed to the public. Setubully Akprind Web is a web application for reporting and addressing bullying. This study analyzes and develops Setubully Web using the Whistleblowing approach and the Waterfall development model. The development method includes requirements analysis, system design, implementation, and testing. The testing results show that Setubully Web functions well and effectively addresses bullying. Key features such as Home, Complaints, Admin Dashboard, Officer Dashboard, and User Dashboard work effectively. User management, reporting, responses, categories, and user profiles can be efficiently managed. The development of Setubully Web incorporates the Whistleblowing concept, allowing for anonymous or public reporting of complaints or bullying incidents. It is hoped that the website can become an effective platform for reporting and overcoming bullying, creating a safe and comfortable environment for users in the Institut Sains & Teknologi Akprind Yogyakarta in particular, and on other campuses in general.
Co-Authors Erna Kumalasari Nurnawati Muhammad Adji Pratama SANUSI SANUSI