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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 ITEj (Information Technology Engineering Journals) Edu Komputika Journal Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Abdimasku : Jurnal Pengabdian Masyarakat International Journal of Engineering and Computer Science Applications (IJECSA)
Erika Devi Udayanti
Universitas Dian Nuswantoro, Semarang
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 Library & Information Science Mathematics Social Sciences Other

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Analisa Minat Penggunaan Aplikasi TB eScoring dengan Pendekatan Technology Acceptance Model (TAM) Udayanti, Erika Devi; Nugroho, Fajar Agung
Edu Komputika Journal Vol 5 No 1 (2018): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

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

Abstract

 TB eScoring is an application for medical aids in diagnosis of child tuberculosis to perform patient symptom scoring parameters. Application aimed to minimize underdiagnose and overdiagnose cases in pediatric patients suspected tuberculosis. To achieve successful implementation of tuberculosis diagnosis of children with TB eScoring application require users understanding about adoption rate of TB eScoring application. This research aims to analyze interest in the use of information technology in this case TB eScoring application. The approach of technology acceptance model (TAM) by modifying the adopted constructs is Perceive usefulness, perceive ease of use and intention to use. Linear regression modeling is used to test the existing hypothesis. The results obtained are all hypotheses accepted based on tests conducted to the relationship of each variable. From the results of the research obtained that usability variables significantly have a positive relationship to the interest in use. In addition, the ease variable also has a positive relationship to the interest in the use of TB eScoring application. Both significance value of is 0.002, smaller than 0.05.
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 : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.752 KB) | 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.
IMPLEMENTASI FIREBASE CLOUD MESSAGING PADA EMERGENCY CALL BERBASIS ANDROID Kartikadarma, Etika; Widayat Yutriatmansyah, Widi; Devi Udayanti, Erika; Hafidhoh, Nisa'ul
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 2 (2019): JURNAL SIMETRIS VOLUME 10 NO 2 TAHUN 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.284 KB) | DOI: 10.24176/simet.v10i2.3196

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.
PENGEMBANGAN APLIKASI BANTU DIAGNOSIS TUBERKULOSIS RESISTAN OBAT BERBASIS ANDROID Udayanti, Erika Devi; Nugroho, Fajar Agung; Hafidhoh, Nisa?ul; Nilawati, Florentina Esti
Edu Komputika Journal Vol 6 No 1 (2019): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukomputika.v6i1.30166

Abstract

Berbagai perangkat lunak aplikasi dikembangkan dalam upaya membantu tenaga kesehatan maupun tenaga medis melakukan diagnosis dan perekaman medis pasien baik yang terintegrasi dalam clinical pathway maupun dalam pengelolaan administrasi pasien. Dalam kasus tuberkulosis, salah satu jenis kasus yang dijumpai akibat kekebalan terhadap obat anti tuberkulosis (OAT) adalah tuberkulosis resistan obat. Selain akibat clinical error, adanya human error juga menjadi pemicu munculnya kasus tuberkulosis resistan obat. Dalam Global Tuberculosis Report 2017 oleh WHO, disampaikan bahwa kepatuhan pasien tuberkulosis dapat dijembatani dengan pemanfaatan teknologi digital. penelitian ini mengusulkan pengembangan aplikasi diagnosis tuberkulosis resisten obat dalam bentuk electronic health (ehealth). Hasil dari penelitian ini yaitu berupa perangkat lunak aplikasi ?etubero? yakni electronic tuberkulosis resistan obat berbasis android. Alur diagnosis dalam aplikasi yang akan dikembangkan, mengacu pada algoritma diagnosis tuberkulosis resistan obat. Penelitian ini dimaksudkan untuk  membuat rancangan electronic clinical pathway (alur klinis elektronik) melalui perangkat lunak aplikasi electronic tuberkulosis resistan obat atau eTubero sesuai dengan Pedoman Nasional Pengendalian Tuberkulosis.
A Comparison of Non Blind Image Watermarking Using Transformation Domain Kartikadarma, Etika; Udayanti, Erika Devi; Sari, Christy Atika; Doheir, Mohamed
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

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Abstract

In digital image processing, there is an algorithm that is most often used because it has advantages in imperceptibility and robustness. The DCT and HWT algorithms are usually used together to get better results. However in this study we wanted to know which of the algorithms had the better results for image processing by comparing these two algorithms for blind watermarking as the prevention of image plagiarism. The results of this study indicate that HWT has better results for image processing, especially blind watermarking because the results with MSE, PSNR, and NC show that HWT has advantages in every aspect. Using 512x512 pixels grayscale image as cover image, the MSE result from HWT is 0.0004156 with PSNR 81.9440 better than MSE from DCT 0.003 with PSNR 73.2949. On the other hand, robustness aspect has been tested using NC. DCT has good NC than HWT only in JPEG compression attack with value is 1, while another attack has better NC in HWT that yield close to 1.
Document Preprocessing with TF-IDF to Improve the Polarity Classification Performance of Unstructured Sentiment Analysis Alzami, Farrikh; Udayanti, Erika Devi; Prabowo, Dwi Puji; Megantara, Rama Aria
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 3, August 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v5i3.1066

Abstract

Sentiment analysis in terms of polarity classification is very important in everyday life, with the existence of polarity, many people can find out whether the respected document has positive or negative sentiment so that it can help in choosing and making decisions. Sentiment analysis usually done manually. Therefore, an automatic sentiment analysis classification process is needed. However, it is rare to find studies that discuss extraction features and which learning models are suitable for unstructured sentiment analysis types with the Amazon food review case. This research explores some extraction features such as Word Bags, TF-IDF, Word2Vector, as well as a combination of TF-IDF and Word2Vector with several machine learning models such as Random Forest, SVM, KNN and Naïve Bayes to find out a combination of feature extraction and learning models that can help add variety to the analysis of polarity sentiments. By assisting with document preparation such as html tags and punctuation and special characters, using snowball stemming, TF-IDF results obtained with SVM are suitable for obtaining a polarity classification in unstructured sentiment analysis for the case of Amazon food review with a performance result of 87,3 percent.
A Comparison of Non Blind Image Watermarking Using Transformation Domain Kartikadarma, Etika; Udayanti, Erika Devi; Sari, Christy Atika; Doheir, Mohamed
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.28334

Abstract

Purpose: This study aims to know which of the algorithms had the better results for image processing by comparing these two algorithms for blind watermarking as the prevention of image plagiarism. Methods: The DCT and HWT algorithms used to get better results. Result: The results of this study indicate that HWT has better results for image processing, especially blind watermarking because the results with MSE, PSNR, and NC show that HWT has advantages in every aspect.  using 512x512 pixels grayscale image as cover image, the MSE result from HWT is 0.0004156 with PSNR 81.9440 better than MSE from DCT 0.003 with PSNR 73.2949. Novelty: Robustness aspect has been tested using NC. DCT has good NC than HWT only in JPEG compression attack with value is 1, while another attack has better NC in HWT that yield close to 1.
Analisa Minat Penggunaan Aplikasi TB eScoring dengan Pendekatan Technology Acceptance Model (TAM) Udayanti, Erika Devi; Nugroho, Fajar Agung
Edu Komputika Journal Vol 5 No 1 (2018): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukomputika.v5i1.23331

Abstract

TB eScoring is an application for medical aids in diagnosis of child tuberculosis to perform patient symptom scoring parameters. Application aimed to minimize underdiagnose and overdiagnose cases in pediatric patients suspected tuberculosis. To achieve successful implementation of tuberculosis diagnosis of children with TB eScoring application require users understanding about adoption rate of TB eScoring application. This research aims to analyze interest in the use of information technology in this case TB eScoring application. The approach of technology acceptance model (TAM) by modifying the adopted constructs is Perceive usefulness, perceive ease of use and intention to use. Linear regression modeling is used to test the existing hypothesis. The results obtained are all hypotheses accepted based on tests conducted to the relationship of each variable. From the results of the research obtained that usability variables significantly have a positive relationship to the interest in use. In addition, the ease variable also has a positive relationship to the interest in the use of TB eScoring application. Both significance value of is 0.002, smaller than 0.05.
Pengembangan Aplikasi Bantu Diagnosis Tuberkulosis Resistan Obat Berbasis Android Udayanti, Erika Devi; Nugroho, Fajar Agung; Hafidhoh, Nisa’ul; Nilawati, Florentina Esti
Edu Komputika Journal Vol 6 No 1 (2019): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukomputika.v6i1.30166

Abstract

Berbagai perangkat lunak aplikasi dikembangkan dalam upaya membantu tenaga kesehatan maupun tenaga medis melakukan diagnosis dan perekaman medis pasien baik yang terintegrasi dalam clinical pathway maupun dalam pengelolaan administrasi pasien. Dalam kasus tuberkulosis, salah satu jenis kasus yang dijumpai akibat kekebalan terhadap obat anti tuberkulosis (OAT) adalah tuberkulosis resistan obat. Selain akibat clinical error, adanya human error juga menjadi pemicu munculnya kasus tuberkulosis resistan obat. Dalam Global Tuberculosis Report 2017 oleh WHO, disampaikan bahwa kepatuhan pasien tuberkulosis dapat dijembatani dengan pemanfaatan teknologi digital. penelitian ini mengusulkan pengembangan aplikasi diagnosis tuberkulosis resisten obat dalam bentuk electronic health (ehealth). Hasil dari penelitian ini yaitu berupa perangkat lunak aplikasi “etubero” yakni electronic tuberkulosis resistan obat berbasis android. Alur diagnosis dalam aplikasi yang akan dikembangkan, mengacu pada algoritma diagnosis tuberkulosis resistan obat. Penelitian ini dimaksudkan untuk membuat rancangan electronic clinical pathway (alur klinis elektronik) melalui perangkat lunak aplikasi electronic tuberkulosis resistan obat atau eTubero sesuai dengan Pedoman Nasional Pengendalian Tuberkulosis.
PEMODELAN IMPLEMENTASI BUSINESS INTELLIGENCE UNTUK STUDENT RELATIONSHIP MANAGEMENT PADA PERGURUAN TINGGI Erika Devi Udayanti; Affandy Affandy
Semantik Vol 2, No 1 (2012): Prosiding Semantik 2012
Publisher : Semantik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.119 KB)

Abstract

Keunggulan kompetitif sebuah perguruan tinggi tidak luput dari keberadaan dan pemanfaatan teknologi informasi. Dengan mengadopsi pendekatan CRM, dalam proses bisnisnya perguruan tinggi dapat menerapkan konsep Student Relationship Management (SRM) untuk meningkatkan kualitas layanan terhadap mahasiswa sebagai orientasi utama. Dengan dukungan model Business Intelligence (BI) sebagai pengolah datanya SRM diharapkan akan dapat menawarkan alternatif solusi yang lebih personal sesuai dengan karakter tiap-tiap mahasiswa. Kajian ini mencoba untuk mengusulkan model implementasi BI dalam SRM dengan mengikuti tahapan pengembangan sistem yang diharapkan dapat menjadi alternatif guidelines penerapan SRM di dunia pendidikan khususnya perguruan tinggi. Pengembangan prototype dari integrasi dua konsep ini akan menjadi kajian lanjutan untuk memvalidasi model yang diusulkan.Kata kunci :Customer Relationship Management, Student Relationship Management, Business Intelligence
Co-Authors Affandy Affandy Ahmad Maulana Aisyatul Karima Ali Muqoddas Ali Muqoddas Aloysius Soerjowardhana Aloysius Soerjowardhana Alzami, Farrikh Arika Norma Wahyu Dorroty Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono Candra Irawan Christy Atika Sari Dibyo Adi Wibowo Dita Afida Djuniadi Djuniadi Doheir, Mohamed Dwi Puji Prabowo, Dwi Puji Erwin Yudi Hidayat Yudi Hidayat Ery Mintorini Etika Kartikadarma Etika Kartikadharma Fahri Firdausillah Fahri Firdausillah Fajar Agung Nugroho Fajar Agung Nugroho Fajar Agung Nugroho Fajrian Nur Adnan Farah Syadza Mufidah Florentina Esti Nilawati Hafidhoh, Nisa'ul Hafidhoh, Nisa?ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Iqlima Zahari Ivana Junita Aritonang Kevin Febrianto Maulana Muhammadin Comara Megantara, Rama Aria Mohamad Sirojul Muna Muhammad Hafidz Natalinda Pamungkas Nisa'ul Hafidhoh Nisa’ul Hafidhoh Nur Ikhsan Nur Iksan Raden Arief Nugroho Ramadhan Rakhmat Sani Reza Wisnumurti Rifky Anggadiva Sanina Quamila Putri Sri Mulatsih Sri Winarno valentina widya suryaningtyas Valentina Widya Suryaningtyas, Valentina Widya Widayat Yutriatmansyah, Widi Widi Widayat Yutriatmansyah Wildan Mahmud Wildan Mahmud Wiwin Andriana Yogi Pratama Putra Yuni Lestari Yusuf Yudha Sanjaya Yutriatmansyah, Widi Widayat