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All Journal International Journal of Electrical and Computer Engineering Jurnal Simetris Mediator KOMUNIKA Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Dinamisia: Jurnal Pengabdian Kepada Masyarakat PROSIDING KOMUNIKASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Ilmu Teknik dan Komputer Jurnal Ilmiah Manajemen Kesatuan International Journal of Educational Research and Social Sciences (IJERSC) International Journal of Qualitative Research Bulletin of Social Studies and Community Development Indonesian Journal of Community Services Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Siber International Journal of Education Technology
Ida Nurhaida
Universitas Lampung
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Social Sciences Other

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The Influence of Digital Mindset, Digital Competence and Leadership Style on Employee Career Development Hazni, Elvira; Nurhaida, Ida
Siber International Journal of Education Technology (SIJET) Vol. 1 No. 3 (2024): (SIJET) Siber International Journal of Education Technology (January 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijet.v1i3.62

Abstract

The effect of Digital Mindset, Digital Competence and Leadership Style on Career Development is a scientific article in the literature study within the scope of the field of science. The purpose of this article is to build a hypothesis of the influence between variables that will be used in further research. Research objects in online libraries, Google Scholar, Mendeley and other academic online media. The research method with the research library comes from e-books and open access e-journals. The results of this article: 1) Digital Mindset has an effect on Career Development; 2) Digital Competence has an effect on Career Development; and 3) Leadership Style has an effect on Career Development.
Pelatihan Literasi Media Dan Pengenalan Kehidupan Kampus FISIP Unila Pada Siswa-Siswi SMA di Kota Bandar Lampung Faizal, Ahmad Riza; Nurhaida, Ida
Laporan Upaya Nyata Inovasi Ilmu Komputer Vol. 1 No. 01 (2023)
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v1i01.2

Abstract

Kegiatan ini bertujuan yaitu pertama, memberikan bekal kepada para peserta pelatihan agar dapat berpikir dan bertindak lebih kritis terhadap terpaan media dan kebutuhan informasi yang mereka hadapi di kehidupan mereka di masa depan. Kedua, memberikan bekal pengetahuan kepada para peserta kegiatan agar termotivasi untuk melanjutkan upaya pembelajaran mereka ke jenjang yang lebih tinggi. Sebanyak 60 peserta yang berasal dari tiga SMA yaitu SMAN 8 Bandar Lampung, SMAN 13 Bandar Lampung, dan SMAN 14 Bandar Lampung diundang untuk hadir pada kegiatan ini. Pemberian kuesioner dilakukan sebelum dan sesudah acara dilaksanakan. Berdasarkan hasil survei, didapatkan bahwa para peserta mengalami perubahan signifikan pada pengetahuan mengenai jenis-jenis media massa (14.3%) dan kemampuan melakukan sitasi (13.5%) serta pengetahuan mengenai program-program studi di FISIP Unila (36.3%) dan keinginan mereka untuk melanjutkan pendidikan tinggi di Kampus FISIP Unila (16.3%). Untuk perubahan perilaku ke arah positif menunjukkan bahwa kegiatan ini mempunyai kemampuan untuk mengintervensi tingkat pengetahuan peserta mengenai literasi media dan kehidupan kampus di FISIP Unila. Latar belakang peserta yang masih siswa SMA turut mempengaruhi rasio mereka untuk melanjutkan pendidikan mereka ke jenjang yang lebih tinggi.
Pembelajaran Mitigasi Bencana Berbasis Literasi Informasi untuk Meningkatkan Disaster Self Awareness AUD Oktaria, Renti; Windah, Andi; Nurhaida, Ida; Putra, Purwanto; Haerudin, Nandi
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 7 No. 2 (2023)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v7i2.3430

Abstract

Penelitian ini mengkaji tentang analisis keterampilan literasi informasi yang dimiliki para pendidik di Kabupaten Lampung Timur dalam penyusunan bahan ajar mitigasi bencana untuk meningkatan disaster self-awareness anak usia 5-6 tahun agar menjadi generasi muda yang tangguh bencana. Penelitian ini menggunakan pendekatan kualititatif dan metode studi kasus, dengan teknik analisis kualitatif deskriptif. Sebanyak 5 orang pendidik PAUD di Kecamatan Labuhan Ratu Kabupaten Lampung Timur menjadi informan dalam penelitian ini. Seluruh proses pengumpulan data secara daring dan luring, dengan mematuhi protokol kesehatan covid-19. Melalui penelitian ini diharapkan akan tercapai tujuan khusus berikut ini, yaitu: (1) Memetakan tingkat keterampilan literasi informasi pendidik dalam penyusunan bahan ajar mitigasi bencana yang dapat meningkatkan disaster self-awareness anak usia dini; dan, (2) Menganalisis kebutuhan pendidik dalam menyusun rancangan pembelajaran mitigasi bencana yang dapat meningkatkan disaster self-awareness anak usia dini.
Unlocking the Potential of Artificial Intelligence in Democratizing Health Information: A Scholarly Synthesis Windah, Andi; Nurhaida, Ida
International Journal of Educational Research & Social Sciences Vol. 6 No. 3 (2025): June 2025 ( Indonesia - Nigeria - Uzbekistan - Philippines )
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v6i2.975

Abstract

This study looks at how Artificial Intelligence (AI) can help make health information more accessible to everyone.  By using artificial intelligence, medical information can be made easier to understand and more available to everyone.  The study uses a literature review method.  It carefully chooses articles published from 2020 to 2024 from trusted academic databases like EBSCO, ScienceDirect, and ProQuest.  The articles were chosen based on how relevant they were and the latest developments in using AI for sharing health information.  The results show that AI can effectively translate complex medical words, offer personalized health information, and overcome language barriers using advanced language technology.  Also, AI can help disadvantaged communities by making it easier for them to get health information and by reducing the spread of false information using fact-checking programs.  The study highlights how important interactive AI tools are for getting users involved and shows how these tools can be used for data-driven public health projects.  This study shows that AI can play a big role in creating a fairer and better-informed society.  In conclusion, the study highlights how important it is to think about ethics and to share fair and accurate information.
CONGESTION CONTROL PADA JARINGAN KOMPUTER BERBASIS MULTI PROTOCOL LABEL SWITCHING (MPLS) Nurhaida, Ida; Ichsan, Ichsan
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 1 (2020): JURNAL SIMETRIS VOLUME 11 NO 1 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1385.705 KB) | DOI: 10.24176/simet.v11i1.3671

Abstract

Penelitian ini dilakukan untuk menguji metode congestion control dengan penerapan QoS-Policies pada jaringan Multi Protocol Label Switching (MPLS). Parameter QoS (Quality of Services) yang diuji dalam penelitian ini berupa delay, troughput, jitter dan packet loss. Nilai-nilai yang didapatkan dari paramater tersebut kemudian dibandingkan dengan standar dari Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON) dengan tujuan untuk mengetahui kualitas layanan pengiriman data pada jaringan MPLS ketika terjadi network congestion di lintasanya. Setelah melakukan proses perancangan, pengujian dan analisa, hasil yang didapat menunjukkan peningkatan nilai-nilai parameter QoS. Nilai QoS untuk parameter delay mengalami penurunan sebesar 48.3%, nilai troughput mengalami peningkatan sebesar 87.44%, nilai jitter mengalami penurunan nilai sebesar 54.04% dan nilai packet loss mengalami penurunan sebesar 99.9%.
PEMANTAUAN JARINGAN MENGGUNAKAN NAGIOS DAN ZABBIX DENGAN NOTIFIKASI TELEGRAM MESSENGER DAN GOOGLE MAIL Fikri, Muhammad Huri; Nurhaida, Ida
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 2 (2020): JURNAL SIMETRIS VOLUME 11 NO 2 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v11i2.5320

Abstract

Penggunaan Nagios dan Zabbix sebagai alat untuk mendeteksi dan mengirimkan notifikasi peringatan apabila terdapat suatu device atau host yang mati secara tiba-tiba (down). Objek pemantauan dari penelitian ini adalah IP kamera CCTV (Internet Protocol Closed Circuit Television) dan server kamera (Host Windows) yang mengelola IP kamera tersebut. Kegagalan sistem ini dapat disebabkan karena pemadaman listrik. Hal ini menyebabkan matinya seluruh perangkat jaringan (network device). Maka dari itu perlu sebuah notifikasi secara real time apabila salah satu dari kamera atau server kamera mengalami kegagalan sistem. Penelitian ini menggunakan metodologi Network Development Life Cycle (NDLC). Dalam penelitian ini dapat disimpulkan bahwa penggunaan aplikasi Telegram dan Gmail bisa digunakan sebagai alat untuk mendapatkan notifikasi di perangkat telepon pintar. Pengiriman notifikasi dari aplikasi Nagios akan langsung dikirimkan (tanpa penundaan pengiriman) ke Telegram dan Gmail setelah terdeteksi status down / up sedangkan aplikasi Zabbix mengalami penundaan. Tetapi aplikasi Zabbix dapat medeteksi lebih cepat daripada aplikasi Nagios untuk pantauan Host Windows dan IP Kamera.
Literasi Informasi Digital: Tantangan Bagi Para Santri Dalam Menjalankan Peran Sebagai Global Citizen (Studi Kasus Pada Pondok Pesantren Darussa”Adah Bandar Lampung) ., Karomani; Nurhaida, Ida; Aryanti, Nina Yudha; Windah, Andi; Purnamayanti, Arnila
KOMUNIKA Vol 4 No 2 (2021): Accredited by Kemenristekdikti RI SK No.200/M/KPT/2020
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/komunika.v4i2.9933

Abstract

The purpose of this research is to increase knowledge and understanding as well as digital literacy of the Darussa'adah Islamic Boarding School students in Bandar Lampung about the importance of access and adoption of healthy and safe internet technology. The research method used is descriptive quantitative with data collection techniques using surveys. The results of this study indicate that the mastery of the concept of global citizenship by the students still cannot be understood explicitly, so that further understanding of the students is needed. Most of the students of Darussa'adah Islamic Boarding School still do not have digital literacy skills effectively and efficiently. By doing digital literacy, it is expected to be able to better understand and be able to have cognitive, communicative abilities, have the ability in creativity, have self-confidence and have a critical attitude in consuming media so as to avoid hoax and fake news, so that information received through social media can accountable for the truth. The conclusion of this study is the need to provide a set of literacy competencies, especially digital literacy when surfing the internet, including the importance of how to access the internet in a healthy and safe manner for students and a basic understanding of ethics and culture as well as searching for the right information on the internet, so that students can face challenges as global citizenship.
Privacy Management in the Digital Era: Managing Instagram Close Friends Feature Among Lampung University Students Azis, Diky Luqman; Windah, Andi; Nurhaida, Ida
KOMUNIKA Vol 7 No 2 (2024): Accredited by Kemenristekdikti RI SK No.152/E/KPT/2023
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/komunika.v7i2.23385

Abstract

Concerns about personal information leakage have been growing alongside the ease with which personal data is shared on social media platforms. Instagram's "Close Friend" feature offers users greater control over their privacy. Interestingly, many users continue to utilize this feature on their second accounts, despite these accounts already being populated with close friends and trusted individuals. This study aims to explore how individuals manage their personal information privacy through the use of the Close Friend feature on their second accounts Instagram, using the Communication Privacy Management (CPM) theory. The research adopted a quantitative approach with a sample of 100 respondents selected through purposive sampling. Data was collected using questionnaires and analyzed using Smart PLS 4.0. The results indicate that communication privacy management has a strong relationship with the use of the Close Friend feature on second accounts, with an R-square value of 70.5%, suggesting a significant influence. These findings reveal that even when users' second accounts consist of trusted individuals, they still choose to limit the information shared with a smaller group to protect their privacy. This study provides insights into how social media users manage privacy by selectively sharing personal information through platform features.
AI-BASED APPLICATION FOR INDONESIAN SIGN LANGUAGE DETECTION USING YOLOV8 Khansa, Devanna Alandra; Nurhaida, Ida
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/p8pmqy04

Abstract

Sign language is used by individuals with disabilities, particularly the deaf and those with speech impairments, as their primary means of communication. However, interaction between people with disabilities and the general public is often hampered by a lack of understanding of sign language. This study aims to develop an artificial intelligence-based application capable of detecting and classifying hand movements in Indonesian Sign Language (BISINDO) using the YOLOv8 algorithm. The YOLOv8 algorithm was chosen for its ability to detect and classify objects in real-time with high accuracy, even under varying lighting and background conditions. This is one of the first studies to implement YOLOv8 for real-time BISINDO detection integrated with a web interface. The dataset used includes 51 classes of hand movements with a total of 10,822 images that have undergone augmentation to increase data diversity. The development process involved data collection, pre-processing, annotation, model training, and integration with an interactive web interface. The resulting model demonstrated high performance, achieving mAP@50 of 96%, mAP@50-95 of 70%, and classification accuracy of 93.8% in the final evaluation. This application is intended to help the deaf community communicate more easily with the wider community. It can improve communication accessibility for individuals with hearing impairments in public and educational settings, as well as provide an innovative solution to support social inclusivity. Further testing and parameter optimization will be conducted to expand the detection coverage and improve the system's performance in the future.
AI-BASED FACIAL DE-IDENTIFICATION FOR CHILDREN'S DIGITAL PRIVACY Negara, Komang Putra Satria; Nurhaida, Ida
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/m11eck75

Abstract

Social media has become an inseparable part of daily life in today's digital era. Many parents frequently share photos of their children online, exposing them to risks related to privacy and security. This research addresses such issues by developing an Android-based facial de-identification application that utilises the YOLOv8 algorithm to protect minors' privacy. The methodology involves several stages: data collection, pre-processing, model training, and application development. The dataset includes over 2,889 images of children, which were augmented to enhance its size and diversity. YOLOv8, a state-of-the-art object detection algorithm, was trained with these images to achieve high precision and recall in identifying children's faces. The developed application integrates the YOLOv8 model within a user-friendly interface built with Flutter. Results indicate that YOLOv8 effectively detects children's faces with a high precision of 95%, accuracy of 88%, recall of 92%, and mAP50 of 0.977. While the model demonstrates strong performance on training data, there is room for improvement on unseen data. By leveraging YOLOv8 and providing an accessible mobile application, the work allows parents to protect their children's identities online. The application mitigates risks of unauthorised use and exploitation of children's images by enabling facial de-identification, thus promoting safer online practices for families.
Co-Authors ., Karomani Ahmad Riza Faizal, Ahmad Riza Akhmad Riza Faizal Akmal Junaidi Ali, Husain Andi Windah Andi Windah* Arif Sugiono Arnila Purnamayanti Aryanti Nina Yudha Ayumi, Vina Azis, Diky Luqman Darojat, Agus Dhamanti, Inge Djauharie, Arlyandi S Djuadi, Noverman Faisal, Fairo Mahaputranda Fikri, Muhammad Huri Fitri Yakub Hazni, Elvira Hestin Oktiani Hidayat, Januar Putra Ichsan Ichsan Khansa, Devanna Alandra Kurnia Muludi Maryani, Eri Nandi Haerudin Negara, Komang Putra Satria Nina Yudha Aryanti Pairulsyah Pairulsyah Putra, Purwanto Renti Oktaria, Renti Sirat, Abdul Hadi Sugeng P Hariyanto Tjahjono, Benny