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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Yayasan Cita Cendikiawan Al Khwarizmi
Handayani, Sharfina Febbi
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Peningkatan Pengetahuan Guru dan Siswa Jurusan Tata Busana Dalam Pemanfaatan Aplikasi Berbasis Kecerdasan Buatan Af'idah, Dwi Intan; Handayani, Sharfina Febbi; Hidayattullah, Muhammad Fikri; Dairoh, Dairoh; Solikhin, Annur Riyadhus
Dedikasi Sains dan Teknologi (DST) Vol. 4 No. 1 (2024): Artikel Periode Mei 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v4i1.3847

Abstract

SMK Negeri 1 Warureja menghadapi masalah kurangnya pemahaman tentang penggunaan kecerdasan buatan di kalangan guru dan siswa program keahlian tata busana. Program Pengabdian kepada Masyarakat (PKM) sangat berguna dalam meningkatkan pengetahuan dan keterampilan mereka. Materi kecerdasan buatan disesuaikan secara khusus untuk memenuhi kebutuhan mereka, dengan melakukan evaluasi awal menggunakan pre-test. Selama sesi praktik, peserta diberikan pelatihan langsung dalam penggunaan aplikasi berbasis kecerdasan buatan seperti AutoDraw, LookaLogoMaker, dan ChatGPT dalam konteks tata busana. Dosen dan mahasiswa memberikan pendampingan untuk membantu peserta dalam menerapkan konsep kecerdasan buatan dalam bidang tata busana. Evaluasi dilakukan melalui umpan balik dan post-test, yang menunjukkan peningkatan yang signifikan dalam pemahaman dan keterampilan peserta. Selain itu, melalui pendampingan yang intensif selama sesi praktik, para peserta dapat mengatasi kendala dan memperdalam pemahaman mereka tentang penerapan kecerdasan buatan dalam konteks industri tata busana. Hal ini memberikan landasan yang kuat bagi mereka untuk mengembangkan keterampilan yang relevan dengan tuntutan dunia kerja yang terus berkembang. Dengan demikian, program ini tidak hanya meningkatkan kualitas pendidikan di SMK Negeri 1 Warureja, tetapi juga membuka jalan bagi para siswa dan guru untuk bersaing secara lebih efektif dalam dunia industri yang semakin terhubung dengan teknologi kecerdasan buatan. Melalui kolaborasi yang erat antara SMK dan institusi pendidikan lainnya, upaya bersama ini dapat memperkuat daya saing siswa dalam menghadapi tantangan masa depan yang kompleks.
Comparative Analysis of Deep Learning Models for Retrieval-Based Tourism Information Chatbots Af'idah, Dwi Intan; Dairoh, Dairoh; Handayani, Sharfina Febbi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 1 (2025): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i1.30373

Abstract

Despite significant advancements in deep learning models for chatbots, comprehensive analyses tailored to the tourism sector remain limited. This study addresses the gap by comparing the performance of six prominent models—MLP, RNN, GRU, LSTM, BiLSTM, and CNN—in creating chatbots designed to address traveler needs such as information about facilities, ticket prices, activity suggestions, and operational details. The methodology includes key stages such as data collection, preparation, model training, and evaluation using accuracy, precision, recall, F1-score, and qualitative assessments. The dataset, derived from interviews with managers of 11 tourism destinations, captures critical details to replicate real-world user interactions. The results indicate that the CNN model performed the best, achieving the highest accuracy (0.98), precision (0.99), recall (0.98), and F1-score (0.98), showcasing its ability to effectively handle user queries by identifying relevant patterns in data. While MLP achieved strong accuracy (0.94), its simpler design limited its capacity to manage complex questions. The RNN model had the lowest accuracy (0.82), highlighting its challenges in understanding structured information. These findings confirm CNN as the most effective model for retrieval-based chatbots in tourism, balancing accuracy and practicality. This research offers valuable insights for improving AI-driven tourism tools, providing guidelines for selecting optimal models and enhancing chatbot performance to enrich the traveler experience.
Sistem Informasi Manajemen Legalisir Online Berbasis Website Dairoh, Dairoh; Pratiwi, Riszki Wijayatun; Af’idah, Dwi Intan; Handayani, Sharfina Febbi; Toarsi, Ferian Andhika
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.1778

Abstract

Management and submission of legalization at the Harapan Bersama Polytechnic have not been computerized. The legalization process is carried out face-to-face by leaving legalized documents and returning them when the legalized documents are ready. This process is problematic because going to campus requires quite a long time, and there is no certainty or travel history from the management of legalized documents. The research objective is to build a legalization system to facilitate the process of implementing legalization in BAA units using the website-based waterfall method. This system validates alumni data in the form of NIM at registration, processes payments through payment gateways, pays for selected shipments, and tracks travel history from the submitted legalized documents. This system is called Simaleja, and there are two actors involved. As a result, the system runs according to the functions of the actors involved and has been tested. As for the results of the black box (actor) test, the system has been running according to the function of each actor, and the UI/UX usability results were obtained for 38 users, 82% of whom fall into the very good category.
Peningkatan Pengetahuan Guru dan Siswa Jurusan Tata Busana Dalam Pemanfaatan Aplikasi Berbasis Kecerdasan Buatan Af'idah, Dwi Intan; Handayani, Sharfina Febbi; Hidayattullah, Muhammad Fikri; Dairoh, Dairoh; Solikhin, Annur Riyadhus
Dedikasi Sains dan Teknologi (DST) Vol. 4 No. 1 (2024): Artikel Periode Mei 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v4i1.3847

Abstract

SMK Negeri 1 Warureja menghadapi masalah kurangnya pemahaman tentang penggunaan kecerdasan buatan di kalangan guru dan siswa program keahlian tata busana. Program Pengabdian kepada Masyarakat (PKM) sangat berguna dalam meningkatkan pengetahuan dan keterampilan mereka. Materi kecerdasan buatan disesuaikan secara khusus untuk memenuhi kebutuhan mereka, dengan melakukan evaluasi awal menggunakan pre-test. Selama sesi praktik, peserta diberikan pelatihan langsung dalam penggunaan aplikasi berbasis kecerdasan buatan seperti AutoDraw, LookaLogoMaker, dan ChatGPT dalam konteks tata busana. Dosen dan mahasiswa memberikan pendampingan untuk membantu peserta dalam menerapkan konsep kecerdasan buatan dalam bidang tata busana. Evaluasi dilakukan melalui umpan balik dan post-test, yang menunjukkan peningkatan yang signifikan dalam pemahaman dan keterampilan peserta. Selain itu, melalui pendampingan yang intensif selama sesi praktik, para peserta dapat mengatasi kendala dan memperdalam pemahaman mereka tentang penerapan kecerdasan buatan dalam konteks industri tata busana. Hal ini memberikan landasan yang kuat bagi mereka untuk mengembangkan keterampilan yang relevan dengan tuntutan dunia kerja yang terus berkembang. Dengan demikian, program ini tidak hanya meningkatkan kualitas pendidikan di SMK Negeri 1 Warureja, tetapi juga membuka jalan bagi para siswa dan guru untuk bersaing secara lebih efektif dalam dunia industri yang semakin terhubung dengan teknologi kecerdasan buatan. Melalui kolaborasi yang erat antara SMK dan institusi pendidikan lainnya, upaya bersama ini dapat memperkuat daya saing siswa dalam menghadapi tantangan masa depan yang kompleks.
Adoption of virtual tours for tourism promotion in Tegal Regency: a technology acceptance model analysis Dairoh, Dairoh; Handayani, Sharfina Febbi; Af'idah, Dwi Intan
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp1109-1120

Abstract

Tegal Regency has various tourist attractions that have the potential to be increased as a stimulus for the district's economy. So that this potential can have an optimal positive impact, the tourist destination should be promoted to the general public to increase tourism visits. This effort can be carried out by utilizing existing technological developments through virtual tour (VT), but their implementation requires careful consideration. This study explored how perceived usefulness (PU), perceived ease of use (PEU), attitude, behavioral intention (BI), and tourism promotion (TP) relate to each other within the context of virtual tourism. Data were collected from 126 participants via an an online survey developed using the technology acceptance model (TAM) framework. The partial least squares structural equation modeling (PLS-SEM) method was employed for analyzing the data. The result revealed significant relationships between PU and ease of use, user attitudes (AT), and BIs. Furthermore, BI, PU, and PEU were all considerable predictors of TP. However, no significant relationship was found between user AT and BIs.
Co-Authors Af'idah, Dwi Intan Af’idah, Dwi Intan Dairoh Dairoh, Dairoh Dyah Apriliani Muhammad Fikri Hidayattullah, Muhammad Fikri riszki wijayatun pratiwi, riszki wijayatun Saputra, Irfan Triadi Solikhin, Annur Riyadhus Toarsi, Ferian Andhika