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All Journal Jurnal Masyarakat Informatika Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Transformatika Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) ANDHARUPA Journal of Information System Edu Komputika Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budimas : Jurnal Pengabdian Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat ITEJ (Information Technology Engineering Journals)
Erika Devi Udayanti
Universitas Dian Nuswantoro, Semarang
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Koherensi Lintas Moda sebagai Upaya untuk Meningkatkan Kualitas Buku Digital Dwibahasa Budhara (Borobudur Dalam Hamparan Cerita) Mulatsih, Sri; Nugroho, Raden Arief; Suryaningtyas, Valentina Widya; Soerjowardhana, Aloysius; Muqoddas, Ali; Udayanti, Erika Devi
ANDHARUPA: Jurnal Desain Komunikasi Visual & Multimedia Vol. 9 No. 01 (2023): March 2023
Publisher : Dian Nuswantoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/andharupa.v9i01.7860

Abstract

Abstrak Sebagai upaya untuk meningkatkan kualitas informasi pariwisata Candi Borobudur dan Kawasan Cagar Budaya Borobodur, para peneliti membuat sebuah buku digital yang dinamai Budhara (Borobudur dalam Hamparan Cerita). Budhara dikembangkan dengan menggunakan metode Multimedia Development Life Cycle (MDLC). Buku digital ini dilengkapi dengan fitur-fitur, seperti navigasi, manipulasi, kontrol, pencarian, dan dialog.  Karena adanya perbedaan perilaku berwisata antara wisatawan lokal dan mancanegara, tim peneliti membedakan visual atau gambar di halaman Budhara berbahasa Indonesia dan Inggris. Terlepas dari perbedaan tersebut, tim peneliti harus mempertahankan koherensi informasi visual dan teks tulisnya dari buku digital ini, karena hal ini dapat mempengaruhi indeks kepuasan wisatawan. Kata Kunci: Budhara, Buku Digital, Candi Borobudur, Koherensi Lintas Moda, Pariwisata  AbstractAs an effort to improve the quality of tourism at Borobudur Temple and Borobudur Cultural Heritage Area (Kawasan Cagar Budya Borobudur), the researchers designed a digital book entitled Budhara (Borobudur dalam Hamparan Cerita). Budhara was designed using Multimedia Development Life Cycle method (MDLC). This digital book is equipped with features, such as navigation, manipulation, control, search, and dialog. Due to dissimilar travel behavior between domestic and international tourists, the researchers differentiate the visualization or pictures in Budhara’s Indonesian and English pages. Apart from the difference, the researchers must employ cross-modal coherence of Budhara’s visual information and its written one, in view of the fact that it can impact the tourist satisfaction index.  Keywords: Budhara, Digital Book, Borobudur Temple, Cross-modal Coherence, Tourism
Strengthening Digital Literacy Skills through the “Digital Learning Hub” Program in Ngasem Village Anwarri, Kenza Amalia Putri; Lutfina, Erba; Udayanti, Erika Devi; Mellati, Pita
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v6i3.14858

Abstract

The high level of juvenile delinquency in Ngasem village is known to originate from the lack of parental attention, access to content on the internet that should not be consumed, and the lack of positive activities for students. Meanwhile, dropping out of school in Ngasem village was not only due to decreased motivation to learn but also because parents could not pay for their children to continue their education. From the survey results, it is known that people who are not working are because after the Covid-19 pandemic, people do not have either soft skills or hard skills. From analyzing these problems, PPK Ormawa Biro Sistem Informasi PSDKU Udinus Kediri proposed a solution to improve digital literacy for children in Ngasem village. The form of increasing digital literacy is packaged in the Digital Learning Hub program by implementing 6 literacy corners. The proposed digital literacy training are FunCoding Literacy, Animation, Graphics, Content Making, TrainingPreneur, and Parenting and Sex Education. From the series of PPK Ormawa activities, it can be concluded that the Digital Learning Hub program can be used to improve creative thinking and computation for participants. The implementation of coding training activities and basic programming concepts achieved a satisfaction target of more than 90%, which means that this activity was enthusiastically welcomed by the participants.
Pendampingan Pelatihan Aplikasi Pengolah Kata dan Pengolah Presentasi bagi Siswa SLB Nurul Ikhsan Ngadiluwih Iqlima Zahari; Natalinda Pamungkas; Gery Gadman Rachmad; Syafira Putri Yuanita; Christiawan Yosua Hertinando; Erba Lutfina;  Wildan Mahmud; Erika Devi Udayanti;  Ignasius Yoga Puji Hascaryo
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 2 No. 1 (2024): Januari: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v2i1.48

Abstract

Currently, almost everyone must be able to master technology, especially information technology. The progress of information technology is increasingly rapid, nowadays humans are expected to be able to use computers, laptops, gadgets in everyday life. The aim of this activity is to provide assistance and training in word processing applications (Microsoft Word) and presentation processing (Microsoft Power Point) to Nurul Ikhsan SLB children, because their existence in society is often underestimated. The methods used are introduction, implementation and evaluation. The introduction was carried out by conducting observations and interviews to obtain a general overview of Nurul Ikhsan Ngadiluwih SLB with its various activities. Implementation was carried out by providing training and mentoring to SLB students. After this training the students were very enthusiastic and enthusiastic because our presence was able to provide a different color, their computer training activities were only carried out with limited time in the life skills activity agenda, computer life skills were also very limited because their computer staff and infrastructure were also very limited. There were no obstacles experienced during this service, because they were very welcoming of our presence, and hoped that there would be training on other occasions.
Pelatihan Dasar Microsoft Office Word dan Power Point Bagi Siswa Penyandang Disabilitas SLB Nurul Ikhsan Ngadiluwih Natalinda Pamungkas; Iqlima Zahari; Erika Devi Udayanti; Wildan Mahmud; Karmila Karmila; Chornelius Aneba Moza Ikratama; Dian Restu Adji
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 2 No. 3 (2024): Juli: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v2i3.309

Abstract

This Community Partnership Program (PkM) activity was carried out at SLB Nurul Ikhsan Ngadiluwih Kediri. The service location is approximately 12 km from the PSDKU campus of Dian Nuswantoro University, Kediri. In the current era, almost all students are required to be able to master technology, especially information technology. Students' mastery of technology is used to support learning activities and improve skills. One of the software technologies used to support educational activities is Microsoft Office Basic, namely Microsoft Word and Microsoft Power Point. Special Education or Special Schools (SLB) are schools intended for children with special needs to receive basic services that can help them gain access to education. SLB is an educational institution that provides education to children with special needs so that it can be used as a provision for the child's future growth and development. Nurul Ikhsan SLB was founded by a private foundation, namely the Nurul Ikhsan Education Foundation, located in Ngadiluwih Village, Ngadiluwih District, Kediri Regency, East Java. One of the visions, missions and goals of SLB Nurul Ikhsan is that students are equipped according to their type of ability, with the aim that SLB graduates have high basic social characteristics, have knowledge, skills and independence as the basis needed to continue their studies to the next level of education. higher level, working in society, socializing and being able to develop themselves in accordance with the principles of lifelong education. Through this training activity, it is intended to provide insight and additional skills to Nurul Ikhsan SLB students to explore and practice directly operating Microsoft Word and Microsoft Power Point.
Strengthening Digital Literacy Skills through the “Digital Learning Hub” Program in Ngasem Village Anwarri, Kenza Amalia Putri; Lutfina, Erba; Udayanti, Erika Devi; Mellati, Pita
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The high level of juvenile delinquency in Ngasem village is known to originate from the lack of parental attention, access to content on the internet that should not be consumed, and the lack of positive activities for students. Meanwhile, dropping out of school in Ngasem village was not only due to decreased motivation to learn but also because parents could not pay for their children to continue their education. From the survey results, it is known that people who are not working are because after the Covid-19 pandemic, people do not have either soft skills or hard skills. From analyzing these problems, PPK Ormawa Biro Sistem Informasi PSDKU Udinus Kediri proposed a solution to improve digital literacy for children in Ngasem village. The form of increasing digital literacy is packaged in the Digital Learning Hub program by implementing 6 literacy corners. The proposed digital literacy training are FunCoding Literacy, Animation, Graphics, Content Making, TrainingPreneur, and Parenting and Sex Education. From the series of PPK Ormawa activities, it can be concluded that the Digital Learning Hub program can be used to improve creative thinking and computation for participants. The implementation of coding training activities and basic programming concepts achieved a satisfaction target of more than 90%, which means that this activity was enthusiastically welcomed by the participants.
Crawling Data Customer Pada Aplikasi Smarsofi Untuk Layanan Digital Marketing Maulana, Ahmad; Udayanti, Erika Devi; Sanjaya, Yusuf Yudha; Anggadiva, Rifky; Comara, Maulana Muhammadin; Muna, Mohamad Sirojul
Jurnal Transformatika Vol. 17 No. 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1423

Abstract

Current communication can be carried out without having to come face to face, without limitation of space and time, namely through the internet. the availability of internet connectivity is a necessity for all people in almost all activities. The growth of internet users influences changes in the pattern of society in communicating and socializing also has an impact on business trends, one of which is the aspect of promotion and marketing. Conventional promotion through printed media has shifted to online media. Printed media turned to digital form which was then disseminated very easily through the internet to many people in general. This paper will examine the smarsofi application or smart social wifi application that utilizes connectivity accounts from wifi users to collect data. in this case is the visitor's data from a caf ©. The main objective is to facilitate the process of collecting visitors to the caf © connected to wifi, which will then be forwarded to the distribution (broadcast) of digital promotional content.
Aplikasi Text Mining untuk Klasterisasi Aduan Masyarakat Kota Semarang Menggunakan Algoritma K-means Afida, Dita; Udayanti, Erika Devi; Kartikadarma, Etika
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2362

Abstract

Social media is a service that is very supportive for government activities, especially in providing openness and community-based government. One form of its implementation is the Semarang City government through the Center for Community Complaints Management (P3M), whose task is to manage community complaints that enter one of the communication channels namely social media twitter. The number of public complaints that enter every day is very varied. This is certainly quite difficult for managers in categorizing complaints reports according to the relevant Local Government Organizations (OPD). This paper focuses on the problem of how to conduct clustering of community complaints. The data source comes from Twitter using the keyword "Laporhendi". Text document data from community complaint tweets was analyzed by text mining methods. A number of pre-processing of text data processing begins with the process of case folding, tokenizing, stemming, stopword removal and word robbering with tf-idf. In conducting cluster mapping, clustering algorithm will be used in dividing the complaint cluster, namely the k-means algorithm. Evaluation of cluster results is done by using purity to determine the accuracy of the results of grouping or clustering.
Pemanfaatan QuiverVision sebagai Media Pembelajaran Mewarnai dan Pengenalan Suara bagi Anak Usia Dini Udayanti, Erika Devi; Adnan, Fajrian Nur; Karima, Aisyatul
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 2, No 2 (2019): Juli 2019
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v2i2.42

Abstract

Generasi saat ini merupakan generasi dengan tingkat peradaban yang sangat tinggi dimana anak-anak sejak lahir sudah dikenalkan dengan teknologi. Perangkat mobile khususnya smartphone menjadi perangkat yang paling banyak digunakan oleh anak- anak karena sifatnya yang mobile. Pembelajaran pada jenjang anak usia dini saat ini sangatlah berbeda dengan pendidikan anak- anak terdahulu. Guru yang notabene pendamping aktivitas belajar anak-anak disekolah harus mampu mengikuti dan menyesuaikan perubahan generasi anak didiknya. solusi yang ditawarkan dalam kegiatan ini mengadopsi aplikasi Quiver for Coloring untuk memberikan pembekalan dan sosialisasi kepada guru paud dan tk tentang peran teknologi sebagai media alternatif bermain dan belajar yang ramah untuk anak usia dini.
IMPLEMENTASI FIREBASE CLOUD MESSAGING PADA EMERGENCY CALL BERBASIS ANDROID Kartikadarma, Etika; Yutriatmansyah, Widi Widayat; Udayanti, Erika Devi; Hafidhoh, Nisa’ul
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v10i1.2778

Abstract

Tindak asusila atau kriminalitas merupakan satu dari banyak faktor serius yang dapat mengancam keselematan atau bahkan nyawa seseorang. Tindak kejahatan atau kriminalitas yang dilakukan baik oleh individu maupun kelompok (komplotan) dapat terjadi dimana saja dan kapan saja. Kebutuhan akan rasa aman menjadi suatu kebutuhan yang sangat penting. Kesadaran masyarakat akan kewaspadaan terhadap tindak kejahatan yang bisa terjadi pun meningkat. Perkembangan perangkat teknologi informasi dan komunikasi meningkat dengan pesat. Penelitian ini mengusulkan solusi berbasis teknologi yang dapat diimplementasikan untuk mengatasi situasi darurat korban kejahatan dengan aplikasi Emergency Call berbasis Android. Penerapan Firebasse Cloud Messaging digunakan untuk menjalankan Push Notification pada Android. Dengan pengembangan aplikasi Emergency Call ini diharapkan dapat mengurangi resiko akibat kejahatan yang lebih serius.
COVID-19 Suspects Monitoring System Based on Symptom recognition using Deep Neural Network Udayanti, Erika Devi; Kartikadharma, Etika; Firdausillah, Fahri; Ikhsan, Nur
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 2 No. 1 (2023): March 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i1.2073

Abstract

The outbreak of the Corona virus or COVID-19 was still a global concern even though it has been declared an endemic in several countries in the world, including Indonesia. However, with the emergence of new variants of this virus, preventive efforts continue to be made to prevent its spread. To prevent the spread of this virus, early detection was important, especially in knowing prospective clients who are positive and reactive to this virus, thus enabling early isolation measures for prospective patients who are taking action. This identification can be carried out in public areas that are the center of community activities. In this study, an intelligent system will be developed that can detect people suspected of COVID-19 through fever and breathing problem symptoms that can provide solutions to prevent the spread of this virus. Identify these symptoms through thermography-based image processing sourced from thermal camera sensors and then look for the possibility of suspected and reactive COVID19. Furthermore, the AI model was used by the early detection system of people suspected of being positive and reactive for COVID-19 using the Deep Neural Network method. This study aims to identify symptoms of fever and respiratory infection through image processing sourced from thermal camera sensors and further diagnose prospective patients who are suspected of being positive and reactive for COVID19 using the CNN method as an intelligent system for early detection of suspected positive and reactive COVID19 patientsIn the process of testing the classification training model, the performance results in the CNN classification process have an accuracy value of more than 88%. Furthermore, a comparison was made between the CNN classification and other classifications, such as SVM, Naive Bayes and Multi-Layer Perceptron (MLP). The results obtained from this comparison have an average percentage of accuracy above 80%. MLP has the lowest accuracy among its classification methods of 83.56%. CNN has the highest accuracy value compared to other methods of 88.68%. Therefore, CNN can be chosen to be the right one for use in the COVID-19 suspect detection system through the recognition of symptoms and respiratory disorders. Based on these performance measurements, the process of detecting COVID19 suspects indicated by health symptoms can be applied to real data.
Co-Authors Affandy Affandy Afida, Dita Ahmad MAULANA Aisyatul Karima ALI MUQODDAS Ali Muqoddas Aloysius Soerjowardhana Alzami, Farrikh Andriana, Wiwin Anggadiva, Rifky Anwarri, Kenza Amalia Putri Arika Norma Wahyu Dorroty Aritonang, Ivana Junita Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Candra Irawan Chornelius Aneba Moza Ikratama Christiawan Yosua Hertinando Christy Atika Sari Comara, Maulana Muhammadin Dian Restu Adji Dibyo Adi Wibowo Djuniadi Djuniadi Doheir, Mohamed Dwi Puji Prabowo, Dwi Puji Erba Lutfina Erwin Yudi Hidayat Yudi Hidayat Ery Mintorini Etika Kartikadarma Etika Kartikadharma Fahri Firdausillah Fajar Agung Nugroho Fajar Agung Nugroho Fajar Agung Nugroho Fajrian Nur Adnan Farah Syadza Mufidah Florentina Esti Nilawati Gery Gadman Rachmad Hafidhoh, Nisa'ul Hafidhoh, Nisa?ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Ika Novita Dewi Ikhsan, Nur Iqlima Zahari Ivana Junita Aritonang Karimah, Sofia Rizkal Karmila Karmila Kartikadharma, Etika Kevin Febrianto Lutfina, Erba Megantara, Rama Aria Mellati, Pita Muhammad Agus Muljanto Muhammad Hafidz Muna, Mohamad Sirojul Natalinda Pamungkas Natalinda Pamungkas Nisa'ul Hafidhoh Nur Ikhsan Nur Iksan Putra, Yogi Pratama Raden Arief Nugroho Ramadhan Rakhmat Sani Sanina Quamila Putri Sanjaya, Yusuf Yudha Soerjowardhana, Aloysius Sri Mulatsih Sri Winarno Suyatno, Revalina Syafira Putri Yuanita Valentina Widya Suryaningtyas, Valentina Widya Widayat Yutriatmansyah, Widi Widi Widayat Yutriatmansyah Wildan Mahmud Wisnumurti, Reza Yogi Pratama Putra Yuni Lestari Yunita Ayu Pratiwi Yutriatmansyah, Widi Widayat Yutriatmansyah, Widi Widayat  Ignasius Yoga Puji Hascaryo