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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JOIV : International Journal on Informatics Visualization Jurnal Mantik Penusa JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science 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 Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Information System Journal (INFOS) Journal of Community Development Journal Automation Computer Information System (JACIS) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Dinamika Informatika (JDI) JAMAIKA: Jurnal Abdi Masyarakat The Indonesian Journal of Computer Science Research Jurnal Pengabdian Literasi Digital Indonesia JURNAL MULTIDISIPLIN BHATARA
Sri Ngudi Wahyuni, Sri Ngudi
Universitas Amikom Yogyakarta
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PENERAPAN SEARCH ENGINE OPTIMIZATION PADA WEBSITE KURSUS ONLINE ANAKKODING.ID Sri Mulyatun Mulyatun; Galang Setia Budi; Dwi Rahmawati Rahmawati; Sri Ngudi Wahyuni; Rosyidah Jayanti Vijaya; Rahma Widyawati Widyawati
Indonesian Journal of Business Intelligence (IJUBI) Vol 4 No 2 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i2.1952

Abstract

Promosi adalah hal terpenting pada sebuah bisnis. Anakcoding.id adalah salah satu bisnis dibidang pelatihan yang menekankan promosi berbasis digital, yaitu Search Engine Optimization atau SEO. Adapun tujuan penelitian ini adalah pemanfaatan SEO pada website Anakcoding.id agar pengguna google mudah menemukan website Anakcoding.id dengan memasukan kata kunci yang relevan. Adapun metode yang digunakan pada penelitian ini adalah On-Page dan Off-page dengan bantuan analisis keywords dari google keywords planner. Sehingga website anakkoding.id memiliki jangkauan yang luas seiring berjalannya waktu dapat meningkatkan jumlah pengunjung website dan meningkatkan  pemasaran dan pendapatan Anakcoding.id. pada pengembangan SEO ini, digunakan pengujian menggunakan alpha box dan black box test. Kesimpulan penelitian ini adalah metode SEO menggunakan teknik On-Page, Off-page serta Technical SEO sangat memudahkan dan menyempurnakan elemen-elemen website seperti Meta tag untul lebih mudah dibaca oleh search engine.
PENGEMBANGAN IKLAN LAYANAN MASYARAKAT ‘GUNAKAN SELALU MASKER’ MENGGUNAKAN ANIMASI 2D Suyatmi Suyatmi Suyatmi; Mei Maemunah Maemunah; Sri Ngudi Wahyuni
Indonesian Journal of Business Intelligence (IJUBI) Vol 4 No 2 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i2.1953

Abstract

Iklan layanan masyarakat ini bertujuan mengedukasi masyarakat akan pentingnya penggunaan masker saat ini. Situasi pandemi COVID-19 seperti sekarang ini, penggunaan masker sangat penting untuk mengurangi penyebaran COVID-19. Pengembangan video animasi ini akan menjadi salah satu alat edukasi kepada masyarakat untuk turut mencegah penularan penyakit COVID-19 di Indonesia. Pengembangan video animasi ini dilakukan secara bertahap dengan menggunakan beberapa tools antara lain Adobe Photosop Adobe After Effects, Adobe Illustrator, dan Adobe Premiere. Adapun tahapan pengembangan melalui 3 tahap yaitu pra produksi, produksi dan pasca produksi. Pengujian vededo ini menggunakan beta testing dengan alat survey berupa kuesioner yang dibagikan kepada seluruh audience dalam hal ini adalah masyarakat umum. Analisis data menggunakan analisis deskriptif, dengan menggunakan SPSS. Hasil uji menyatakan bahwa video ini baik dan layak digunakan.
MODEL LAYERED MAPPING EVALUASI KEAMANAN SISTEM INFORMASI BERBASIS NIST CSF 2.0, COBIT 2019, DAN NIST SP 800-53 Fendi Setiabudi; Alva Hendi Muhammad; Sri Ngudi Wahyuni
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 3 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/0g2gqn02

Abstract

Cybersecurity evaluation is necessary to identify the security condition and gaps within an information system. The Forest Product Administration Information System (SIPUHH) is an information system used to support electronic recording and reporting in forest product administration processes. This study aims to develop a layered mapping approach for evaluating SIPUHH cybersecurity in a structured and traceable manner. The frameworks used are NIST CSF 2.0 as the cybersecurity outcome layer, COBIT 2019 APO13 – Managed Security as the management layer, and NIST SP 800-53 as the security control layer. This study employs a qualitative approach using an evaluative research design with a descriptive-analytical orientation. Data were collected through interviews with SIPUHH developers and responsible personnel, as well as through verification of technical and documentary evidence. The results of the layered mapping were operationalized into 27 indicators to establish the Current Profile, formulate the Target Profile, and identify SIPUHH cybersecurity gaps. The evaluation results show that 10 indicators are classified as High priority, 15 indicators as Medium priority, and 2 indicators as Maintenance. The findings indicate that SIPUHH has established several technical and operational security capabilities; however, these capabilities are not yet fully supported by formal and structured security governance, policies, procedures, documentation, and evaluation processes. The analysis of interrelationships among the findings resulted in six security improvement programs covering governance and risk management, third parties and interconnections, protection controls, monitoring and event analysis, incident response, and service resilience and recovery.
Feature Engineering for Virtual Currency Price Prediction in Online Games Using a Multiple Linear Regression Approach artherio chanifudin; Sri Ngudi Wahyuni
The Indonesian Journal of Computer Science Research Vol. 6 No. 1 (2027): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v6i1.287

Abstract

Changes in the price of Growtopia's virtual currency can influence players' decisions when buying, selling, or storing items, while price information circulating in the community is often inconsistent. This condition confirms the need for transparent, data-driven predictions. This study aims to predict the prices of World Lock (WL), Diamond Lock (DL), and Blue Gem Lock (BGL) using multiple linear regression. The novelty of the study lies in the application of three separate models with a combination of lag features and cyclic time features, accompanied by chronological data sharing to avoid information leakage. The initial dataset contained 925 daily observations from 2024–2026, while the modeling was limited to 194 data points from 2026 that had a consistent scale. After the formation of Lag_1, Lag_2, Lag_7, Day_Sin, and Day_Cos, 187 complete lines are available, divided into 150 training data and 37 test data. The models were evaluated using MSE, RMSE, MAPE, and R². All three models yield an R² of 0.9318, a MAPE of 2.3191%, as well as a MAPE-based accuracy of 97.6809%. The RMSE is 0.1400 for WL, 14.0017 for DL, and 1,400.1705 for BGL, respectively. As of July 13, 2026, the actual and predicted differences are 0.1743 WL, 17.4286 DL, and 1,742.8648 BGL, respectively. The 123-day recursive prediction yields a final value of 2.8357 WL, 283.5670 DL, and 28,356.6979 BGL. The results show the model follows a general pattern, but its response weakens when price changes occur suddenly. The findings can be used as companion information to transactions, rather than as price certainty or investment recommendations.
Co-Authors Achmad Fauzi Achmad Fauzi Achmad Fauzi Ahmad Syaebani Alva Hendi Muhammad Andika Fakhrizal Andiyoko, Cia Andiyoko, Cia Anik Sri Widowati Arbiansyah, Reynaldi Ariaji, Tristanto artherio chanifudin Barka Satya Cia Andiyoko Dewi Anisa Istiqomah Dimas Alan Wijaya Dita Via Tyasmala Dwi Nurani Dwi Rahmawati Rahmawati Eko Sediono Eko Sediyono Eny Nurnilawati Erina Dwi Utami Erna Daniati Fendi Setiabudi Fiyan Kurnia Hidayat Galang Setia Budi Grafvera, Ervira Diva Guji S. U. , Fitra Jibjaya Hanafi Hanafi Hayaty, Mardhiya Hendrik Hendrik Irwan Sembiring Istiningsih Istiningsih Istiningsih Istiningsih Istiningsih Khanom, Nazmun Nahar Kurnia Rasyid, Muhammad Rum Andri Lila Garjita M. Hanafi Maemunah, Mei Majid, Ammar Waly Manik Hapsara, P.hD Mei Maemunah Mei Maemunah Mei Maemunah Mei Maemunah Mei Maemunah Maemunah Mei Maimunah Mohammad Aufa Hanif Mohammad Khalis Purwanto Muhammad Ikhsan Mulyatun, Sri Nazmun Nahar Khanom Nuraini Rahma Maulani Rahma Widyawati Rahma Widyawati Rahma Widyawati Widyawati Rosyidah Jayanti Vijaya Rosyidah Jayanti Vijaya, Rosyidah Jayanti Rosyidah Jayanti Viyata Rum Muhammad Andri Santosa Santosa Solehatin, Solehatin Sri Mulyatun Sri Mulyatun Suyatmi Suyatmi Suyatmi Teguh Efriyanto Triwidodo, Ahmad Utha Pradipta Vivi Wulandari Widowati, Anik Sri Widyawati, Rahma Windarni , Vikky Aprelia Wiratama , Bill Bilal Yohanes De Deo Abhinaya Sigit Kumara Yuli Astuti