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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IJCOSIN : Indonesian Journal of Community Service and Innovation
Raditya Artha Rochmanto
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Pengimplementasian Learning Management System (LMS) untuk Membantu Pembelajaran Daring di SMA IT Al-Irsyad Al-Islamiyyah Purwokerto irmayatul hikmah; Raditya Artha Rochmanto; Muhammad Yusro; Nurlaili Nurlaili; Indah Permatasari; Syariful Ikhwan
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 2 No 1 (2022): Januari 2022
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.375 KB) | DOI: 10.20895/ijcosin.v2i1.378

Abstract

Perkembangan Information and Communication Technology (ICT) membuat proses belajar mengajar dapat dilaksanakan di mana saja dan kapan saja dengan menggunakan Learning Management System (LMS). Penggunaan LMS di Indonesia saat ini masih didominasi di tingkat perguruan tinggi termasuk di Purwokerto. Salah satu lembaga pendidikan tingkat menengah di Purwokerto yang belum dapat menerapkan LMS adalah SMA IT Al Irsyad Al Islamiyah Purwokerto. Hambatan yang ditemui di SMA ini adalah masalah teknis untuk pemasangan aplikasi dan banyak staf pengajar yang belum mengetahui tentang penggunaan LMS. Salah satu media LMS saat ini yang banyak digunakan adalah moddle yang diharapkan dapat diterapkan di sekolah ini. Melalui program pengabdian masyarakat, telah diberikan pendampingan teknis mulai dari instalasi hingga penerapan moddle dan pelatihan mengenai penggunaan fitur-fitur di moddle. Berdasarkan hasil survey didapatkan bahwa rata-rata tingkat keefektifan penggunaan LMS ini adalah 8,03 (skala 10) dengan poin keefektifan tertinggi sebesar 8,61 untuk variasi aktivitas LMS untuk membantu dalam menyampaikan pembelajaran kepada siswa sementara itu poin terendah sebesar 7,50 berkaitan dengan kemudahan dalam tahapan membuat aktivitas pada LMS.
pada Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object Zein Hanni Pradana; Hanin Nafi'ah; Raditya Artha Rochmanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.66 KB) | DOI: 10.29207/resti.v6i4.3913

Abstract

The pandemic has caused a shift in the tourism industry's drive towards comprehensive digitization. This approach is used to prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the mobility of tourists who will vacation in Indonesia causes losses and foreign exchange earnings of the state in the tourism industry sector of 20.7 billion. So, to survive in the current situation, industry players must be able to adapt and rise by providing more effective innovations. This study aims to develop a Question Answering System or a digital question and answer system using a chatbot (ChatterBot). The chatbot is used as an information service provider that can make it easier for tourists who are looking for information about tourist attractions. Chatbot-based information service systems can work 24 hours or all day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is built on the Machine Learning Framework using RASA Open Source with the Python programming language. The knowledge base of the chatbot system is trained based on the FAQ (Frequently Asking Question) dataset with a case study of the Prambanan Temple tourist attraction as a sample of Indonesian tourism. The results of the evaluation and system performance based on data testing obtained the level of model accuracy is 0.91. Furthermore, the weighted average value in the Confusion Matrix produces a precision of 0.97, a recall of 0.94, and an F1-score of 0.95. The training and testing model processes locally using the Visual Studio Code software.
Co-Authors Hanin Nafi'ah Indah Permatasari Irmayatul Hikmah Muhammad Yusro Nurlaili Nurlaili Pradana, Zein Hanni Syariful Ikhwan