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All Journal International Journal of Electrical and Computer Engineering MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Simetris Mediator Jurnal Teknologi Informasi dan Ilmu Komputer KOMUNIKA Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat PROSIDING KOMUNIKASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Ilmu Teknik dan Komputer Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) International Journal of Educational Research and Social Sciences (IJERSC) International Journal of Community Service International Journal of Qualitative Research Electronic Journal of Education, Social Economics and Technology International Journal of Health, Engineering and Technology West Science Business and Management Indonesian Journal of Community Services Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Siber International Journal of Education Technology Journal of Public Relations and Digital Communication (JPRDC) JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Nemui Nyimah
Ida Nurhaida
Universitas Lampung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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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.
Aplikasi Sistem Virtual Tour E-Panorama 360 Derajat Berbasis Android Untuk Pengenalan Kampus Mercu Buana Riyadi, Slamet; Nurhaida, Ida
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 1: Februari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021864209

Abstract

Pemanfaatan internet untuk mencari informasi kini semakin mudah diakses kapanpun dan dimanapun bagi siapa saja terutama kalangan mahasiswa. Salah satu ciri utama kampus yang maju adalah tersedianya informasi yang muncul dalam berbagai media misalnya gambar. Maka skripsi dengan judul “Aplikasi Sistem Virtual Tour Berbasis E-Panorama 360 Derajat Untuk Pengenalan Kampus Mercu Buana” ini berfungsi sebagai media informasi kampus yang ditampilkan dalam bentuk gambar panorama 360 derajat tanpa batas sudut pandang. Metode Penelitian yang digunakan pada penelitian ini adalah metodologi Waterfall yang merupakan metode paling sesuai dengan menekankan 5 tahap pengambangan. Kebutuhan pembuatan virtual tour ini adalah perangkat keras berupa kamera dan laptop serta perangkat lunak berupa photoshop, panoweaver, xampp dan code editor. Website virtual tour ini menampilkan 4 scene dari berbagai titik dan lokasi yang dapat diakses melalui situs resmi dan peta Kampus Mercu Buana. Untuk Pembuatan Sistem Virtual Tour ini menghasilkan Output Website dan Aplikasi Untuk Android. AbstractUtilization of the internet to find information is now more easily accessible anytime and anywhere for anyone, especially among students. One of the main characteristics of an advanced campus is the availability of information that appears in various media such as images. Then the thesis titled "Application of Virtual Tour System Based on 360-Degree E-Panorama for Introduction to the Mercu Buana Campus" serves as the campus information media that is displayed in the form of 360-degree panoramic images without a limited viewing angle. The research method used in this study is the Waterfall methodology which is the most suitable method by emphasizing the 5 stages of floating. The need for making this virtual tour is hardware in the form of cameras and laptops as well as software in the form of photoshop, panoweaver, xampp and codeigniter. This virtual tour website displays 4 scenes from various points and locations that can be accessed through the official website and map of the Mercu Buana Campus. For making this Virtual Tour System, it produces Website and Application for Android.
LSTM-Based NLP Approach for Spelling Error Detection and Correction in Scientific Writing Indonesian Language Halim, Yeru Dwi Pratama; Nurhaida, Ida
Electronic Journal of Education, Social Economics and Technology Vol 5, No 1 (2024)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v5i1.309

Abstract

Scientific writing requires precision and clarity to uphold credibility and effective communication. Errors such as spelling mistakes and typos can compromise the quality and reliability of scientific texts. This study proposes a Long Short-Term Memory (LSTM)-based approach to detect and correct spelling errors, enhancing text accuracy and readability. The dataset comprises 45,698 standard words, supplemented with typo variations to improve model performance. Data is sourced from the Indonesian Dictionary (KBBI) and undergoes normalization and preprocessing to capture diverse error patterns. The model’s performance is evaluated using a confusion matrix, achieving 93% accuracy and high precision, recall, and F1-score metrics. These results demonstrate that the proposed NLP-based LSTM model offers an effective and reliable solution for identifying and correcting spelling errors. This approach significantly enhances the quality of scientific writing, ensuring more transparent and credible communication.
Web-Based Face Recognition System for Attendance Management Pratiwi, Chelomitha Arsy; Nurhaida, Ida
Electronic Journal of Education, Social Economics and Technology Vol 5, No 2 (2024)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v5i2.291

Abstract

Studi ini berfokus pada pengembangan aplikasi absensi berbasis web yang memanfaatkan teknologi pengenalan wajah untuk mengatasi keterbatasan sistem absensi manual, seperti inefisiensi, kesalahan, dan kerentanan terhadap penipuan. Sistem yang diusulkan menggunakan algoritma Scale-Invariant Feature Transform (SIFT) untuk mengekstraksi fitur wajah, memastikan pengenalan yang akurat dalam berbagai kondisi. Set data terdiri dari 537 gambar wajah yang diberi anotasi, diproses terlebih dahulu melalui pengubahan ukuran dan konversi skala abu-abu untuk meningkatkan ekstraksi fitur. Pelatihan model, yang diimplementasikan dengan YOLOv8, mencapai akurasi 97,05%, presisi rata-rata rata-rata (mAP) 0,975, dan skor F1 0,95, yang menunjukkan keandalan deteksi dan pengenalan wajah yang tinggi. Aplikasi ini terintegrasi dengan REST API, yang memungkinkan verifikasi absensi waktu nyata dengan mencocokkan gambar wajah yang diambil dengan basis data terpusat. Meskipun sistem menghadapi tantangan dalam mengenali profil samping dan kondisi cahaya redup, sistem ini secara signifikan meningkatkan manajemen absensi dengan mengotomatiskan proses, meminimalkan kesalahan, dan meningkatkan keamanan data. Peningkatan di masa mendatang dapat menggabungkan teknik pembelajaran mendalam dan integrasi yang lebih luas dengan sistem manajemen personalia untuk mengoptimalkan kinerja, skalabilitas, dan efisiensi operasional.
Signature Originality Verification Using A Deep Learning Approach Saputra, Muhammad Azi; Nurhaida, Ida
Electronic Journal of Education, Social Economics and Technology Vol 5, No 1 (2024)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v5i1.310

Abstract

The rapid advancement of digital technology has heightened the need for reliable methods to verify signature authenticity, a critical aspect of document and transaction security. This study uses a deep learning approach to develop a mobile application to verify the originality of paper and digital media signatures. The dataset comprises 1,060 signature images, including authentic and forged categories for both media types. The system employs the EfficientNetV2M model, trained with augmented data, to enhance robustness. Model evaluation demonstrates strong performance with an accuracy of 82.07%, a global precision of 81.31%, a global recall of 83.25%, and a global F1-score of 82.18%. The model is implemented in an Android-based mobile application, providing an intuitive interface for users to upload and verify signatures in real time. These results underscore the potential of EfficientNetV2M for mitigating signature fraud across various domains while highlighting areas for improvement, particularly in classifying paper-based signatures. Future work will focus on expanding the dataset and refining feature extraction techniques to enhance classification performance.
Analisis Sentimen berbasis Deep Learning Terhadap Kesetaraan Gender di Bidang STEM: Perspektif dan Implikasinya Mariam, Siti; Nurhaida, Ida
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29071

Abstract

Women's participation in Science, Technology, Engineering, and Mathematics (STEM) is still low due to discrimination, gender stereotypes, and lack of access to equal career opportunities. This research analyzes public sentiment about gender equality in STEM fields using the Knowledge Discovery in Database (KDD) approach with the Long Short-Term Memory (LSTM) algorithm. The data consists of 1,200 tweets (2018-2024) collected through web crawling and processed using KDD techniques such as preprocessing, transformation, data mining and evaluation. The resulting LSTM model showed 86.25% accuracy, 88.18% precision, 82.20% recall, and 85.00% F1-score. Sentiment analysis showed support and appreciation for women in STEM (positive sentiment) and criticism of gender discrimination and stereotypes (negative sentiment). This study faced challenges in the form of data imbalance and the model's difficulty in understanding the Indonesian context. Our findings confirm the importance of policies that support gender equality and inclusive work environments. This research is expected to improve people's perception of gender equality and increase the representation of women in STEM fields, especially in Indonesia.
Aplikasi Artificial intelligence untuk Klasifikasi Lengkungan Kaki: Solusi berbasis Radiografi Haris, Abdul; Nurhaida, Ida
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29098

Abstract

Identifying foot arch types is crucial for maintaining health and comfort. Flat foot arches can cause pain and discomfort, potentially interfering with activities such as sports. This research aims to develop an Artificial intelligence (AI)-based application to detect normal and flat foot arch types through X-ray images. The YOLOv8 model with bounding box is converted to TensorFlow Lite format to be integrated into a mobile platform through Android Studio. The application uses a waterfall model without maintenance, starting from the analysis of x-ray dataset needs, development and testing of the YOLOv8 model, conversion to TensorFlow Lite, design, black box testing, and application on Android devices. This application can only identify x-ray photos of the soles of the feet looking right and left. Confusion matrix application testing with 150 epochs shows performance with recall 86.2%, precision 77.1%, accuracy 83.3%, mAP50 94.9%, and mAP50-95 76.2%. Black box testing on mobile devices using datasets augmented with 45° horizontal shear and 90° rotation resulted in maximum identification accuracy compared to traditional methods such as the wet foot test. Traditional methods print the soles of the feet with an identification process that requires precision of the patient's standing position. This app detects flatfoot early, improving comfort in daily activities and sports.
Co-Authors ., Karomani Abdul Haris Ahmad Riza Ahmad Riza Faizal Akhmad Riza Faizal Akmal Junaidi Ali, Husain Andi Windah Andi Windah* Andi, Windah Arif Sugiono Arnila Purnamayanti Arnila Purnamayanti Aryanti Nina Yudha Asep Sukohar Ayumi, Vina Azis, Diky Luqman Christine, Wulandari Darojat, Agus Dhamanti, Inge Djauharie, Arlyandi S Djuadi, Noverman Eri Maryani Fikri, Muhammad Huri Fitri Yakub Giovanni, Netaniel Halim, Yeru Dwi Pratama Hapzi Ali Hazni, Elvira Hestin Oktiani Hidayat, Januar Putra Ichsan Ichsan Khaqqi, Fitriyana Nuril Kurnia Muludi Lathifah Alfat, Lathifah Maryani, Eri Mediansyah, Aulian Nina Yudha Aryanti Olova, Khansa Ranbia Audreyzovna Pairulsyah Pairulsyah Pratiwi, Chelomitha Arsy Purwanto Putra Putra, Purwanto Ramadityo, Kafka Reza Gustifa, Adinda Rifqi Muhammad Samsul, Bakri Saputra, Muhammad Azi Sirat, Abdul Hadi SITI MARIAM Slamet Riyadi Sugeng P Hariyanto Sugeng Prayitno , Harianto Sugiyanta Sugiyanta Sugiyanto, Puspandari Setyowati Suharyani Suharyani Tina, Kartika Tjahjono, Benny Yudha Aryanti, Nina