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All Journal Jurnal Mantik Penusa Jurnal Sisfokom (Sistem Informasi dan Komputer) Indonesian Journal of Business Intelligence (IJUBI) INFORMASI (Jurnal Informatika dan Sistem Informasi) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Networks, Architecture and High Performance Computing Journal of Community Development JAMAIKA: Jurnal Abdi Masyarakat The Indonesian Journal of Computer Science Research Jurnal Pengabdian Literasi Digital Indonesia
Sri Ngudi Wahyuni
Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences

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IMPLEMENTASI DAN PELATIHAN PENGGUNAAN APLIKASI DETEKSI PLAGIAT BERITA ONLINE PADA KLIKKALTENG.ID Mardhiya Hayaty; Teguh Efriyanto; Sri Ngudi Wahyuni
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 3, No 1 (2022): FEBRUARI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.486 KB)

Abstract

Perkembangan era digital saat ini mampu mempercepat proses arus informasi, berita-berita yang sebelumnya diakses berbasis kertas(media cetak) berubah menjadi media digital, dan dapat diakses dengan mudah melalui website, social media dan lain sebagainya. Jurnalis adalah profesi yang pekerjaannya mencari, mengumpulkan, memilih, mengolah berita dan menyajikan secepatnya kepada masyarakat luas. Masyarakat sebagai konsumen berita membutuhkan informasi yang cepat dan akurat untuk mendukung kehidupan mereka sehari-hari. Hal ini berdampak pada wartawan media berita online untuk dapat mencari informasi berita yang cepat dan akurat, kemungkinan wartawan melakukan tindakan plagiarism. Oleh karena itu pembuatan software berbasis web dapat  mengukur prosentasi kemiripan isi berita sehingga dapat ditentukan apakah wartawan melakukan tindakan plagiat katagori berat atau tidak. Tujuan dari implementasi aplikasi ini adalah agar wartawan bisa bekerja lebih professional dan berdampak positif pada kualitas berita yang dihasilkan. Penerapan software ini mampu mengurangi tindakan plagiarism dikalangan wartawan klikkalteng.id yaitu 74.49% pada minggu pertama, 60.14% pada minggu kedua dan terus menurun pada minggu ketiga yaitu hanya 49.55%
Pengembangan Sistem informasi Layanan Publik Berbasis Website Menggunakan Framework CodeIgniter Eny Nurnilawati; Rosyidah Jayanti Vijaya; Sri Ngudi Wahyuni; Vivi Wulandari
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 14 No 2 (2022): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v14i2.179

Abstract

Pengembangan sistem informasi layanan publik berbasis website merupakan salah satu cara untuk mempermudah layanan kepada publik terutama layanan surat menyurat. Layanan ini merupakan salah satu upaya dalam mempermudah kebutuhan masyarakat akan kebutuhan surat-menyurat. Sistem informasi layanan surat menyurat ini merupakan transaksi rutin yang memerlukan manajemen dan tatakelola yang jelas agar seluruh dokumen dan arsip dapat ter-record dengan baik. Adapun tujuan penelitian ini adalah membangun sistem informasi layanan publik terutama layanan surat menyurat berbasis website menggunakan framework CodeIgniter. Pengembangan sistem informasi layanan publik ini menggunakan pendekatan waterfall dengan metode pengujian alpha test terutama white dan blackbox test. Hasil pengujian menyatakan bahwa semua fitur dapat difungsikan dengan baik. Beberapa contoh layanan publik yang ada pada sistem layanan ini antara lain Surat Keterangan Penghasilan, Surat Izin Keramaian, Surat Keterangan Domisili, Surat Keterangan Usaha, Surat Pengantar SKCK, Surat Akta Kelahiran, Surat Akta Kematian, Surat Pra-Nikah dan surat-surat lainnya. Berdasarkan hasil penelitian sistem ini dapat digunakan dengan baik dan mampu memberikan layanan lebih mudah kepada masyarakat Kelurahan Margokaton Kecamatan Seyegan Kabupaten Sleman terkait kebutuhan surat-menyurat.
Comparative analysis of time series prediction model for forecasting COVID-19 trend Sri Ngudi Wahyuni; Eko Sediono; Irwan Sembiring; Nazmun Nahar Khanom
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp600-610

Abstract

The outbreak of the COVID-19 pandemic occurred some time ago, making the world a pandemic. Based on this condition is important to predict early to prevent the COVID-19 disease if someday pandemic occurs. The aim of the study is to compare the analysis result of cumulative cases of COVID-19 using multiple linear regression (MLR), ridge regression (RR), and long short term memory (LSTM) models for cases study Java and Bali islands. We chose both islands as a case study because they have very dense populations. These three models are the most widely used time series-based prediction models and have relatively high accuracy values.  The predictive variables used are the number of cumulative cases, the daily cases, and population density. The research data was taken from Kaggle and processed using google collabs. Data was taken from January 20, 2020, to August 8, 2020, and data training was carried out for 12 days. The results show the accuracy of LSTM is better than other models. it can be seen in the accuracy value (99.8 %) of the model test result. The testing model uses R2, mean square error (MSE), and root mean square error (RMSE).
Pelatihan Pembuatan Konten Media Sosial Untuk Karang Taruna Sebagai Upaya Peningkatan Pengunjung Desa Agrowisata di Desa Bolu Seyegan Sri Ngudi Wahyuni; Rum Muhammad Andri; Rahma Widyawati; Istiningsih Istiningsih; Anik Sri Widowati; Rosyidah Jayanti Vijaya
Jurnal Pengabdian Literasi Digital Indonesia Vol. 1 No. 2 (2022): December
Publisher : Puslitbang Akademi Relawan TIK Indonesia (ARTIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.456 KB) | DOI: 10.57119/abdimas.v1i2.13

Abstract

Bolu Village is a village located in Seyegan District, Sleman Regency, Special Region of Yogyakarta Province. This village is developing an Agrotourism area as a financial improvement orientation. The use of technology in the form of social media branding is needed as an effort to promote the region. To introduce a new activity, service, or product, branding is an important step that needs to be done so that the wider community is interested in the object. This community service activity was carried out for 2 days involving 10 Karangtaruna members. By utilizing technology and owning a cell phone, this content creator training is able to provide insight for youth in an effort to increase visitors and increase finances. The evaluation results show that 20% of device ownership is still insufficient, and the rest is adequate. On average, all participants understand the basics of material in creating social media content and are able to implement it in the field. Approximately 90% of participants understand the material presented. This training is considered successful.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SMARTPHONE BERBASIS WEBSITE DENGAN METODE SIMPLE ADDITIVE WEIGTHING Andika Fakhrizal; Sri Ngudi Wahyuni; Rosyidah Jayanti Vijaya
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.75

Abstract

Along with the development of smartphones in Indonesia, people in various circles are very dependent on the use of smartphones. Especially with the current pandemic making people depend on the use of smartphones. With the various brands, types, and specifications of smartphones, people are confused about which smartphones to choose according to their respective needs. From these problems, a website-based decision support system is needed to help and facilitate people in choosing the right smartphone model according to the criteria. The criteria that will be included in this system are price, brand, RAM, storage, camera, battery screen, and features. The purpose of this thesis is to build a system that can help people find smartphones that match the required criteria. This system uses the Simple Additive Weighting (SAW) method which is used to normalize the weights of the inputted criteria and to determine the highest smartphone value as a recommendation option. The results of this study are the creation of a smartphone selection decision support system with the website-based Simple Additive Weighting method that can provide recommendations for smartphone types according to their respective needs.
Co-Authors Achmad Fauzi Ahmad Syaebani Andika Fakhrizal Anik Sri Widowati Cia Andiyoko Dimas Alan Wijaya Dita Via Tyasmala Dwi Rahmawati Rahmawati Eko Sediono Eny Nurnilawati Erina Dwi Utami Galang Setia Budi Hayaty, Mardhiya Hendrik Hendrik Irwan Sembiring Istiningsih Istiningsih Mei Maemunah Mei Maimunah Mohammad Khalis Purwanto Nazmun Nahar Khanom Nuraini Rahma Maulani Rahma Widyawati Rahma Widyawati Widyawati Rosyidah Jayanti Vijaya Rum Muhammad Andri Santosa Santosa Sri Mulyatun Teguh Efriyanto Utha Pradipta Vivi Wulandari