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All Journal JUITA : Jurnal Informatika Panrita Abdi - Jurnal Pengabdian pada Masyarakat JTERA (Jurnal Teknologi Rekayasa) JMM (Jurnal Masyarakat Mandiri) CARADDE: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Infotekmesin Community Empowerment Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Informatika: Jurnal Pengembangan IT
Dwi Intan Af’idah
Politeknik Harapan Bersama
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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.
Aspect-Based Sentiment Analysis for Indonesian Tourist Attraction Reviews Using Bidirectional Long Short-Term Memory Dwi Intan Af'idah; Puput Dewi Anggraeni; Muhammad Rizki; Aji Bagus Setiawan; Sharfina Febbi Handayani
JUITA: Jurnal Informatika JUITA Vol. 11 No. 1, May 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i1.15341

Abstract

The tourism sector in Indonesia experienced growth and made a positive contribution to the national economy, but this growth has yet to reach its target. Therefore, the government of Indonesia has implemented a sustainable tourism development program by establishing ten priority tourism destinations. Aspect-based sentiment analysis (ABSA) towards tourist attraction reviews can assist the government in developing potential goals. The ABSA process compares with two deep learning models (LSTM and Bi-LSTM), which are considered to obtain good performance in text analysis. The shortcomings of previous ABSA research should have examined the performance of the aspect classification and sentiment classification models sequentially. This makes the performance obtained from the ABSA task invalid. Thus, this study is conducted to determine the version of the aspect classification model and the sentiment classification model individually and simultaneously. This study aims to develop an aspect-based tourist attraction sentiment analysis as an intelligent system solution for sustainable tourism development by applying the binary relevance mechanism and the best deep learning model from LSTM or Bi-LSTM. The test results showed that Bi-LSTM was superior in aspect and sentiment classification individually and simultaneously. Likewise, the aspect classification and sentiment classification test results sequentially Bi-LSTM outperformed that of LSTM. The average accuracy and f1 score of Bi-LSTM are 92.22% and 71,06%. Meanwhile, LSTM obtained 90,63% of average precision and 70,4% of f1 score.
Pengaruh Parameter Word2Vec terhadap Performa Deep Learning pada Klasifikasi Sentimen Dwi Intan Af'idah; Dairoh Dairoh; Sharfina Febbi Handayani; Riszki Wijayatun Pratiwi
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 3 (2021): JPIT, September 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i3.3016

Abstract

The difficulty of sentiment classification on this big data can be overcome using deep learning. Before the deep learning training and testing process is carried out, a word features extraction process is needed. Word2Vec as a word features extraction is often used in sentiment classification pre-training because it can capture the semantic meaning of the text by representing a similar vector for each word that has a close meaning. Word2Vec has three parameters that affect the model learning process namely architecture, evaluation method, and dimensions. This study aims to determine the effect of each Word2Vec parameter on deep learning performance in sentiment classification. The accuracy results of the deep learning model were evaluated to determine the effect of the Word2Vec parameter. The results of this study indicate that the three Word2Vec parameters have an influence on the performance of the deep learning model in sentiment classification. The combination of Word2Vec parameters that produces the highest average accuracy include CBOW (Continuous Bag of Word) architecture, Hierarchical Softmax evaluation method, and a dimension of 100. CBOW produces better performance, because it has slightly better accuracy for words that often appear and in this research dataset there are many words that often appear. Hierarchical Softmax shows better results because it uses a binary tree model which makes words that occur rarely will inherit the vector representation above them. The dimension with a value of 100 produces better accuracy because it is in line with the number of datasets of 10,000 reviews.  
APLIKASI PANDUAN UNTUK MENGENAL TANAMAN OBAT BERBENTUK RIMPANG BERBASIS IMAGE PROCESSING MENGGUNAKAN METODE VGG16 Aldi Budi Rianta; Dwi Intan Af'idah; Ardi Susanto
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.3691

Abstract

Biodiversity in Indonesia, especially in medicinal plants with rhizome forms, is the focus of this research. With diverse geographical conditions, Indonesia possesses a wealth of traditional medicinal plant species. Previous studies have indicated limitations in manual plant identification, prompting the need for technology to support plant recognition. This research develops a guide application based on image processing using the VGG16 method to identify medicinal plants with rhizome forms. The methodology involves dataset collection, image preprocessing, VGG16 implementation, model evaluation using a confusion matrix, and application development. Black box testing of the application demonstrates success in plant identification, interface responsiveness, and data security. Results of image analysis and application development show optimal performance. Thus, this application can be considered successful in supporting the recognition of medicinal plants with rhizome forms.
PENGEMBANGAN APLIKASI PEMANDU WISATA GUCI BERBASIS MOBILE MELALUI PRINSIP USER-CENTERED DESIGN (UCD) Muhammad Fikri Hidayattullah; Dwi Intan Af’idah; Sharfina Febbi Handayani; Putri Ajeng Imamah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.3694

Abstract

Pariwisata memainkan peran krusial dalam ekonomi Indonesia, dengan pertumbuhan sektor ini mencapai 7,2% per tahun, melebihi rata-rata dunia sebesar 4,7%. Objek Wisata Guci di Kabupaten Tegal, Jawa Tengah, menarik perhatian sebagai destinasi potensial. Namun, kesulitan wisatawan dalam mendapatkan informasi fasilitas umum di tempat tersebut menjadi tantangan. Penelitian ini mengembangkan aplikasi pemandu wisata "Guci Explore" berbasis Android, menerapkan metode User-Centered Design (UCD) untuk meningkatkan pengalaman pengguna. Dengan melibatkan pemandu wisata digital, aplikasi ini memberikan informasi akurat dan terkini untuk mengatasi kebingungan wisatawan. Pengujian menunjukkan kepuasan pengguna mencapai skor 81, memperkuat kategori Grade Scale "A" dan Acceptability Ranges "Acceptable". Aplikasi ini diharapkan dapat meningkatkan efisiensi perjalanan, memberikan manfaat ekonomi lokal, dan mendukung pertumbuhan sektor pariwisata Indonesia.
PENDAMPINGAN PENERAPAN VIRTUAL TOUR SEBAGAI INOVASI PROMOSI WISATA DAN PEMBELAJARAN SEJARAH PADA MUSEUM SEMEDO KABUPATEN TEGAL Dwi Intan Af'idah; Dairoh Dairoh; Sharfina Febbi Handayani; Annur Riyadhus Solikhin; Rakhmadhani Nurul Aini
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 1 (2024): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i1.20482

Abstract

Abstrak: Situs Purbakala Semedo merupakan destinasi wisata sejarah yang menarik banyak wisatawan dengan berbagai peninggalan purbakala, candi semedo, rumah joglo, makam kuno, dan pemandangan indah perbukitan. Museum Situs Semedo dibuka pada 12 Oktober 2022 dan dikelola oleh Direktur Jenderal Kebudayaan Kemendikbudristek. Saat ini Museum Situs Semedo menghadapi masalah dalam sektor pemasaran karena kebanyakan pengunjung hanya berasal dari Kabupaten Tegal saja. Kegiatan pengabdian ini bertujuan meningkatkan pengetahuan masyarakat terkait sejarah yang terdapat pada Museum Situs Semedo melalui penerapan teknologi virtual tour. Selain itu, kegiatan pengabdian ini dapat memberikan peningkatan ketrampilan terkait pendampingan tour guide kepada tim pengelola Museum Situs Semedo dalam memanfaatkan virtual tour sebagai strategi promosi wisata dan strategi inovasi pembelajaran sejarah. Metode yang digunakan dalam pengabdian berupa sosialisasi yang dilanjutkan dengan kegiatan pelatihan dan pendampingan. Kegiatan ini dilakukan selama dua hari dengan jumlah peserta sebanyak 7 orang perwakilan pengelola Museum Situs Semedo. Hasil evaluasi menggunakan pre-test dan post-test menunjukkan bahwa terdapat peningkatan kemampuan dan pengetahuan peserta sebesar 30,468% dalam menggunakan website virtual tour Museum Situs Semedo sebagai media promosi wisata dan media pembelajaran sejarah.Abstract: The Semedo Archaeological Site is a historical tourist destination that attracts many tourists with various ancient relics, Semedo temples, Joglo houses, ancient graves, and beautiful hillside views. The Semedo Museum was opened on October 12, 2022, and is managed by the Director General of Culture of Kemendikbudristek. Currently, the Semedo Museum faces problems in the marketing sector because most visitors only come from the Tegal Regency. This service activity aims to apply virtual tour technology for the Semedo Museum that can be visited by the general public remotely and afford accompaniment to the management team of the Semedo Museum in utilizing virtual tours as a promotional strategy and innovative learning strategy for history around the Semedo Site in Tegal Regency. The method used in service involves socialization followed by training and mentoring activities. This activity was conducted over two days, with a total of seven people attending representing the Semedo Museum's management. Evaluation results using pre-test and post-test show that was participant’s abilities and knowledge increasing of 30,468% using virtual tour website of the Semedo Site Museum as tourism promotion platform and historical education media.
Sistem Informasi Manajemen Legalisir Online Berbasis Website Dairoh Dairoh; Riszki Wijayatun Pratiwi; Dwi Intan Af’idah; Sharfina Febbi Handayani; Ferian Andhika Toarsi
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.
Klasifikasi Opini Publik di Twitter Terhadap Bakal Calon Presiden Indonesia Tahun 2024 Menggunakan LSTM Secara Realtime Berbasis Website Muhammad Rizki; Muhammad Fikri Hidayattullah; Dwi Intan Af'idah
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1908

Abstract

The analysis of public opinions from Indonesian netizens regarding the potential presidential candidates for Indonesia in 2024 on Twitter is challenging. Human-based classification of the candidates on Twitter has limitations as it requires expertise and a considerable amount of time to process the data. Therefore, a system that provides realtime visualization of public opinion classification is necessary. Previous research only focused on model evaluation, while this study aims to implement the best model on a website. The objective of this research is to develop a system for monitoring the Twitter-based public opinion classification of the potential presidential candidates for Indonesia in 2024 within specific time frames. The training process utilizes the LSTM method, resulting in a model with an accuracy of 76%. Parameters such as batch size, dropout, and learning rate were tested. The data used in this study was obtained by crawling Twitter using the keywords Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto. The LSTM model was then implemented in a website-based system that generates a dashboard with features such as a color-coded map displaying the highest levels of positive sentiment for each candidate in each province, the overall classification count for each candidate, and filters for sentiment classification based on province and specific time frames.
PEMANFAATAN APLIKASI GOOGLE LOOKER STUDIO UNTUK MEMBANTU VISUALISASI LAPORAN DATA KEUANGAN Muhammad Fikri Hidayattullah; Sharfina Febbi Handayani; Dwi Intan Af'idah; Yustia Hapsari
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 3 (2025): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i3.30285

Abstract

Abstrak: SMKN 1 Warureja menghadapi tantangan dalam meningkatkan pemahaman siswa tentang pelaporan dan analisis data keuangan, yang merupakan keterampilan penting di dunia kerja. Proses pelaporan saat ini masih menggunakan metode konvensional yang kurang menarik secara visual, sehingga mengakibatkan rendahnya minat siswa untuk belajar dan memahami. Salah satu solusi yang potensial adalah implementasi Google Looker Studio, sebuah platform visualisasi data interaktif yang dapat menyederhanakan informasi keuangan yang kompleks. Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk meningkatkan hard skill berupa pengenalan aplikasi Google Looker Studio kepada siswa-siswi SMKN 1 Warureja untuk memahami konsep dan fungsi dasar dalam memvisualisasikan data khususnya dalam pelaporan keuangan. Kegiatan Pengabdian Masyarakat ini terdiri dari dua sesi utama, yaitu sesi penyampaian materi dan sesi workshop dengan praktik pembuatan visualisasi laporan keuangan menggunakan Google Looker Studio. Kegiatan ini diikuti oleh 20 orang peserta. Berdasarkan hasil evaluasi pre-test dan post-test dengan jumlah soal sebanyak 5 soal, diperoleh hasil bahwa terjadi peningkatan pengetahuan dan kemampuan teknis peserta mengenai penggunaan Google Looker Studio.Abstract: SMK Negeri 1 Warureja faces challenges in enhancing students' understanding of financial data reporting and analysis, which are essential skills in the professional world. The current reporting process still relies on conventional methods that lack visual appeal, leading to low student interest and comprehension. One potential solution is the implementation of Google Looker Studio, an interactive data visualization platform that can simplify complex financial information. This community service program aims to introduce Google Looker Studio to students at SMK Negeri 1 Warureja, enabling them to understand its fundamental concepts and functions in data visualization, particularly in financial reporting. The program consists of two main sessions: a theoretical session and a workshop session involving hands-on practice in creating financial report visualizations using Google Looker Studio. A total of 20 participants took part in this program. Based on the evaluation results from the pre-test and post-test, there was a noticeable improvement in participants' knowledge and technical skills in utilizing Google Looker Studio.
Co-Authors Achmad Miftahudin Aji Bagus Setiawan Aldi Budi Rianta Amaliyah Gian Annur Riyadhus Solikhin Ardi Susanto Arief Rachman Arief Rachman Dairoh Dairoh Dairoh Dairoh Dairoh Dairoh Dairoh, Dairoh Doni Cahya Adi Saputra Dyah Apriliani Ferian Andhika Toarsi Fina Yuniarti Ginanjar Wiro Sasmito Irfan Triadi Saputra Irfan Triadi Saputra Irvan Akbar Koandres Koandres M Fikri Hidayatullah Muhamad Zaim Zamzami Muhammad Fikri Hidayattullah Muhammad Fikri Hidayattullah Muhammad Rizki Muhammad Rizki Nurul Arifiah Gunarsih Nurul Arifiah Gunarsih Puput Dewi Anggraeni Putri Ajeng Imamah Rakhmadhani Nurul Aini Ratono Ratono Ratono Ratono Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Sharfina Febbi Handayani Sharfina Febbi Handayani Sharfina Febbi Handayani Sharfina Febbi Handayani slamet Wiyono Slamet Wiyono Susi Indah Sari Susi Nurindah Sari Susi Nurindah Sari Susi Nurindahsari Syahrul Adi Mustofa Very Kurnia Bakti, Very Kurnia Yustia Hapsari