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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Format : Jurnal Imiah Teknik Informatika Jurnal Informatika Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Journal of Appropriate Technology for Community Services Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian Harapan Bangsa
Salam Aryanto
Institut Teknologi Dirgantara Adisutjipto
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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Journal : Format : Jurnal Imiah Teknik Informatika

 1 
Implementasi Chatbot Untuk Rekomendasi Tema Tugas Akhir Program Studi Informatika Menggunakan Metode Simple Additive Weight Salam Aryanto; Anton Setiawan Honggowibowo; Jabbar Akhmad
FORMAT Vol 11, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2022.v11.i2.003

Abstract

Many of courses that have been taken makes it difficult for students to determine one area to focus on in determining the theme of the final project. The case study of this research is the Informatics Study Program at the Adisutjipto Aerospace Technology Institute, Yogyakarta. For this reason, a chatbot with a decision support system was made using the simple additive weighting (SAW) method which adds up the weights of the performance of each object that is different and has the same opportunity on all the criteria it has. This method requires the process of normalizing the decision matrix (X) to a scale that can be compared with all existing alternative ratings. The number of observation scores is the sum of the scores of each observation statement multiplied by the weight of the score according to the Likert scale. The maximum score is the maximum score on the Likert scale multiplied by the number of questions, so 5 x 9 = 45. The expected score is the maximum score multiplied by the number of respondents, so 45 x 30 = 1,200. Based on the feasibility test of the chatbot system for the final project recommendation using this method, it succeeded in calculating the feasibility of an application of 1074 (89.5%) with the formula for calculating the percentage of eligibility which was tested by 30 students of the 2017 class of Informatic Study Program, Adisutjipto Aerospace Technology Institute.
Perancangan Aplikasi Pengenalan Desa Wisata Gunung Kidul Berbasis Augmented Reality Salam Aryanto; Sudaryanto Sudaryanto; Setyadi Setyadi
FORMAT Vol 12, No 1 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2023.v12.i1.006

Abstract

Adanya keputusan pemerintah tentang pembatasan wilayah dibeberapa kota guna mencegah penularan Covid-19. Sehingga masyarakat diharuskan untuk tetap dirumah dari pada berpergian keluar dari rumah. Studi kasus dari penelitian ini adalah tempat wisata yang ada di Gunung Kidul, Daerah Istimewa Yogyakarta. Untuk itu dibuatlah Augmented Reality untuk mengenalkan beberapa wisata yang ada di Gunung Kidul dan disetuji oleh pihak Dinas Pariwisata Gunung kidul dimana metode ini menambahkan sebuah atau beberapa benda-benda maya dalam bentuk 2D atau 3D ke dalam lingkungan nyata dimana objek 3D ditampilkan secara realtime atau waktu yang sebenarnya. Pemanfaatan teknologi bertujuan membantu para pengunjung yang ingin berwisata agar mendapat gambaran atau visualisasi dari setiap tempat wisata sehingga nantinya tetap tertarik berwisata saat kondisi sudah membaik. Salah satu cara yang dapat dimanfaatkan pada masa pandemi Covid-19 adalah dengan berwisata virtual. Marker berupa logo Gunung Kidul dimasukan dalam vuforia database dengan tujuan dapat dibaca oleh aplikasi ketika user melakukan proses scaning. Berdasarkan uji coba kelayakan sistem augmented reality untuk pengenalan desa wisata gunung kidul ini berhasil menghitung rata-rata hasil tanggapan dinas pariwisata Gunung Kidul yaitu 82,4% menyatakan aplikasi ini sangat layak digunakan. dengan rumus perhitungan presentase kelayakan yang di uji oleh 5 anggota dinas pariwisata Gunung Kidul.
Media Pencarian Tempat Persewaan Kendaraan Area Bandara Yogyakarta International Airport (YIA) Salam Aryanto; Lazuardy Rahendra Pinandhita
FORMAT Vol 13, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i1.004

Abstract

Yogyakarta International Airport (YIA) is one of the new airports located in Kulonprogo Regency. Access to the airport is still relatively difficult to reach by public transportation. An informative application is needed to assist prospective passengers in providing information. Therefore, an application based on artificial intelligence is made that is able to provide information and recommendations for vehicle rental places according to the vehicles that people want to use. This application will make it easier for visitors to take sightseeing trips to the area around the Yogyakarta International Airport (YIA) airport. This application utilizes the Simple Hill Climbing method, in utilizing the Simple Hill Climbing method the community will get information on the distance from the airport to the nearest to the furthest vehicle rental place. In the test results using the Black Box method goes according to the main design of the application and based on community assessments it shows that it is very effective to use with a success rate of 90% from the community's assessment as users.
Co-Authors . Sudaryanto Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Anton Setiawan Honggowibowo Anton Setiawan Honggowibowo Anton Setiawan Honggowibowo Arwin Datumaya Wahyudi Sumari Astika Ayuningtyas Astika Ayuningtyas Basir Basir Basir, Basir Berland Vardy Pratama Dedi Bintang Pamungkas Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny Dwi Nugraheny, Dwi Edi Triono Nuryatno Harliyus Agustian Haruno Sajati Haruno Sajati Ida Ayu Putu Sri Widnyani Jabbar Akhmad Lazuardy Rahendra Pinandhita Marni Astuti, Marni Muhamad Hafish Nurcahyani Dewi Retnowati Pujiastuti, Asih Setyadi Setyadi Sudaryanto Sudaryanto Sudaryanto Sudaryanto Uyuunul Mauidzoh Wintolo, Hero Yenni Astuti Yuliani Indrianingsih