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All Journal Buletin Peternakan Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika JFA (Jurnal Fisika dan Aplikasinya) Scientific Journal of Informatics JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Fisika FLUX Panrita Abdi - Jurnal Pengabdian pada Masyarakat Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL KONVERSI JTERA (Jurnal Teknologi Rekayasa) Jurnal SOLMA JMM (Jurnal Masyarakat Mandiri) International Journal of Computing Science and Applied Mathematics Khadimul Ummah Journal of Social Dedication CARADDE: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Systemic: Information System and Informatics Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin Indonesian Journal of Electrical Engineering and Computer Science Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Community Empowerment Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Informatika: Jurnal Pengembangan IT
Dairoh Dairoh, Dairoh
DIV Teknik Informatika, Politeknik Harapan Bersama Tegal
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PENGENALAN DAN PEMANFAATAN APLIKASI VIRTUAL TOUR SEBAGAI MEDIA PROMOSI WISATA Dairoh Dairoh; Dwi Intan Af'idah; Sharfina Febbi Handayani; Riszki Wijayatun Pratiwi; Arief Rachman; Doni Cahya Adi Saputra
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 1 (2023): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i1.11734

Abstract

Abstrak: Terdapat 21 wisata di Kabupaten Brebes salah satunya adalah wisata Pulau Cemara. Kondisi pandemic mengakibatkan sektor wisata mendapatkan dampak dari kebijakan pemerintah yakni PPKM. Salah satunya adalah desa wisata di desa Sawojajar yakni di pulau cemara mengalami penurunan pengunjung.  Karena kondisi PPKM maka wisata pulau cemara ditutup sementara. Sehingga dengan kondisi tersebut dilakukan pengabdian masyarakat kepada pengelola dan pokdarwis dengan dinas pariwisata dengan 20 peserta.  Tujuan untuk mengenalkan dan pemahaman aplikasi virtual tour yang digunakan sebagai media promosi mengenalkan objek wisata.  Kegiatan PKM ini dilaksanakan pada tanggal 11-12 Januari 2022. Kegiatan PKM ini berupa sosialisasai pemberian materi kaitannya pengenalan dan kegunaan aplikasi virtual tour, dilanjutkan praktik penggunaan dari aplikasi virtual tour dan pendampingan. Hasilnya peserta mengetahui dan mengenal aplikasi virtual tour sebagai media promosi secara lancar dan antusias dengan hasil evaluasi kepada peserta yang mengikuti dengan pengisin quisioner diperoleh sebesar 85% peserta sudah dapat mengenal, memahami dan menggunakan aplikasi tersebut. Abstract: There are 21 tours in Brebes Regency, one of which is Cemara Island tourism. The pandemic condition has resulted in the tourism sector being impacted by the government's policy, namely PPKM. One of them is a tourist village in Sawojajar village, which is an island that has decreased visitors. Due to PPKM conditions, the Cedar Island tour was temporarily closed. So that with these conditions, community service was carried out for managers and Pokdarwis with the tourism service with 20 participants due to PPKM conditions, fir island tourism is temporarily closed. So with these conditions, community service is carried out to managers and Pokdarwis with the tourism office. The purpose is to recognize and understand the virtual tour application that is used as a medium to introduce tourist objects. This PKM activity was carried out on January 11-12, 2022. This PKM activity was in the form of socialization through the provision of application materials and the use of virtual tour applications, followed by the practice of virtual tours and mentoring. The result is that participants know the virtual tour application as a promotional medium smoothly and enthusiastically with the results of the evaluation of participants who take part in the questionnaire, it is obtained that 85% of participants are able to recognize, understand and use the application.
Pendampingan Perempuan Warga Binaan Pemasyarakatan Menuju Perempuan Berdikari Di Lembaga Pemasyarakan Kelas II.B Kota Tegal Idayanti, Soesi; Aryani, Fajar Dian; Widyastuti, Tiyas Vika; Hamzani, Achmad Irwan; Dairoh, Dairoh
Khadimul Ummah Vol. 3 No. 1 (2019): November 2019
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/ku.v3i1.3800

Abstract

Lembaga Pemasyarakatan adalah tempat pembinaan bagi narapidana atau orang-orang yang melakukan kejahatan. Lembaga Pemasyarakatan merupakan unit pelaksana teknis di bawah Direktorat Jenderal Pemasyarakatan Kementerian Hukum dan Hak Asasi Manusia. Kalau dilihat dari namanya Lembaga Pemasyarakatan mempunyai fungsi memasyarakatkan para narapidana supaya dapat diterima di kalangan masyarakat. Adapun menurut Pasal 3 UUD Nomor 12 Tahun 1995 Tentang Pemasyarakatan, fungsi Lembaga Pemasyarakatan adalah menyiapkan warga binaan pemasyarakatan agar dapat berintegrasi secara sehat dengan masyarakat, sehingga dapat berperan kembali sebagai anggota masyarakat yang bebas dan bertanggung jawab. Pembinaan dan pembimbingan narapidana meliputi Program pembinaan dan bimbingan yang berupa kegiatan pembinaan kepribadian dan kegiatan pembinaan kemandirian. Pembinaan kepribadian diarahkan pada pembinaan mental agar warga binaan menjadi manusia seutuhnya, bertaqwa dan bertanggung jawab kepada diri sendiri, keluarga, dan masyarakat.
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.
Assessment of Retrieval and Generative Chatbots in Tourism Information Service Handayani, Sharfina Febbi; Dairoh, Dairoh; Af'idah, Dwi Intan
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 1, March 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i1.24182

Abstract

Chatbots are essential for improving the customer experience on tourism websites, especially when it comes to arranging travel and offering precise information. The purpose of this study is to evaluate the effectiveness of generative and retrieval-based chatbots in the tourism information service. Two retrieval-based models are MLP-based single QA and multi QA and two generative-based models namely LLaMA 2 and GEMMA were evaluated using confusion matrix, BLUE score, correctness response and naturalness response. The study found that LLaMA 2 outperformed other models, with the highest response Accuracy of 0.89, naturalness of 0.75, and BLEU score of 0.33. GEMMA received the lowest score, suggesting that it has trouble coming up with precise and organic answers. The retrieval-based models showed strong accuracy but were less natural in their responses. The ease of dataset creation for generative models, which only requires narrative text, further positions LLaMA 2 as the most suitable option for improving user experience in Tegal tourism services.
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.
Penerapan Eigenvector Centrality Terkait Metode Social Network Analysis (SNA) dalam Program Vaksinasi Covid-19 di Twitter Krisnawati, Eli; Wibowo, Dega Surono; Susanto, Ardi; Pratiwi, Riszki Wijayatun; Dairoh, Dairoh
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 3 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i3.4622

Abstract

Coronavirus Diseas-19 (Covid-19) merupakan virus yang dianggap sebagai pandemi oleh WHO. Kasus terkonfimasi covid-19 semakin melonjak di Indonesia. Oleh sebab itu, pemerintah membuat kebijakan untuk mengurangi angka kematian akibat covid-19 dengan mengadakan program vaskin massal. Namun, program tersbut menjadi perbincangan di Twitter yang membentuk penerimaan dan penolakan dari masyarakat. Maka dari itu, twitter dapat dimanfaatkan untuk melakukan analisa data. Penelitian ini menggunakan social network analysis (sna) dengan menggunakan skor eigenvector centrality terkait aktor berpengaruh dalam sebuah jaringan yang memiliki hubungan dengan aktor penting lainnya dalam penyebaran informasi terkait vaksin menggunakan kata kunci vaksinasi covid 19. Data yang diteliti sebanyak 22.498 nodes dan 31.982 edges yang sebelumnya sudah ditentukan source dan target. Data tersebut diambil melalui proses crawling API Twitter yang dimulai pada tanggal 01 sampai dengan 24 Januari 2021. Hasil dari penelitian menunjukkan bahwa terdapat 10 aktor dengan skor eigenvector centrality tertinggi, yaitu @jokowi, @ridwankamil, @Abe_Mukti,@yanuarnugroho, @KompasTV, @VIVAcoid, @KemenkesRI, @BBCIndonesia, @tempodotco, dan @kompascom. Dari 10 akun tersbut, akun @jokowi merupakan akun dengan sentralitas tertinggi yaitu 1.0. Selanjutnya, menentukan nilai popularitas menggunakan follower rank. Dari penelitian ini didapat bahwa akun @ kompascom memili skor follower tertinggi yaitu 0,99999699.. Dengan demikian, aktor yang memiliki skor eigenvector centrality tidak selalu memiliki skor follower rank yang tinggi. Namun, hal tersebut belum tentu berlaku jika untuk topik pembahasan yang lain, karena hal ini dipengaruhi juga oleh banyaknya data yang diambil.
Fatty Acid Profiling of Bali and Wagyu Cattle using Principal Component Analysis Dairoh, Dairoh; Sutikno, Sutikno; Ishak, Andi Baso Lompengeng; Priyanto, Rudy; Sumantri, Cece; Ulum, Mokhamad Fakhrul; Jakaria, Jakaria
Buletin Peternakan Vol 48, No 1 (2024): BULETIN PETERNAKAN VOL. 48 (1) FEBRUARY 2024
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v48i1.86454

Abstract

This study aimed to compare the fatty acid profiles of Bali cattle and Wagyu cattle. A total of 50 beef was used in this study, consisting of 44 Bali cattle from Kupang, NTT, and 6 samples of Wagyu cattle from supermarkets. The fatty acid profiles identified are saturated and unsaturated (MUFA and PUFA). The fatty acid analysis used is the Gas Chromatography (GC) method. Descriptive analysis was used to examine data on the fatty acid profile, and T-test analyzed fatty acid composition differences between Bali and Wagyu beef. Differences in fatty acid compositions have been reported based on breeds. The Bali beef had significantly (p<0.05) higher saturated fatty acid than Wagyu. Several fatty acids of meat from Bali cattle were significantly different (p<0.05) from Wagyu, except for myristoleic (C14:0) and palmitoleic acids (C16:0) did not show significant differences (p>0.05). The principal component analysis (PCA) results showed that the first principal component was UFA, MUFA: SFA ratio, oleic acid, omega-9, MUFA, and palmitic acid. In contrast, the second principal component was myristoleic acid, linolenic acid, omega-3, PUFA: SFA ratio, PUFA, omega-6, linoleic acid, stearic acid, SFA, and palmitoleic acid. The study's findings revealed that Bali beef had a much more saturated fatty acid composition of Bali beef was higher than Wagyu beef. This result suggests that Wagyu cattle have a more favorable fatty acid profile, which benefits health.
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 Achmad Irwan Hamzani Achmad Miftahudin Af'idah, Dwi Intan Af’idah, Dwi Intan Agus Suprihadi Amaliyah Gian Amaliyah Gian F Ardi Susanto Ardi Susanto Arief Rachman Arief Rachman Aryani, Fajar Dian Atmo Gayuh Laksmono S Cece Sumantri Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Djatmiko Indrianto Doni Cahya Adi Saputra Dwi Intan Af’idah Dwi Intan Af’idah Dyah Apriliani Dyah Apriliani Ginanjar Wiro Sasmito Handayani, Sharfina Febbi Heru Nur Cahyo I Nyoman Sujana Irfan Triadi Saputra Irvan Akbar Irwan Irwan Ishak, Andi Baso Lompengeng Jakaria Jakaria Juni Wantoro Koandres Koandres Krisnawati, Eli M. Fikri Hidayatullah M. Nishom M. Yoka Mc.Chambali Mc.Chambali Miftakhul Huda Mohammad Khambali, Mohammad Mokhamad Fakhrul Ulum, Mokhamad Muhammad Fikri Hidayattullah, Muhammad Fikri Muhammad Naufal Nurul Arifiah Gunarsih Nurul Renaningtias Oman Somantri Oman Somantri Qirani Rifa A Ratono Ratono Ratono Ratono, Ratono Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi riszki wijayatun pratiwi, riszki wijayatun Rivaldo Mersis Brilianto Rudy Priyanto Sena Wijayanto Sharfina Febbi Handayani Slamet Wiyono Slamet Wiyono slamet Wiyono Slamet Wiyono Slamet Wiyono Slamet Wiyono Soesi Idayanti Solikhin, Annur Riyadhus Suryanto, Wiwit Susi Indah Sari Susi Nurindah Sari Susi Nurindah Sari Sutikno Sutikno Syarifudin Syarifudin Taufiq Abidin Taufiq Abidin, Taufiq Tiyas Vika Widyastuti Toarsi, Ferian Andhika Trima Mustofa, Trima Very Kurnia Bakti, Very Kurnia Wiyono, Slamet Yustia Hapsari, Yustia