Article Per Year (5 Year)
p-Index From 2021 - 2026
7.445
P-Index
This Author published in this journals
All Journal Teknika Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Vocatech : Vocational Education and Technology Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE G-Tech : Jurnal Teknologi Terapan Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology ARRUS Journal of Engineering and Technology Instal : Jurnal Komputer Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Ilmu Komputer dan Informatika Brilliance: Research of Artificial Intelligence TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 Electronic Journal of Education, Social Economics and Technology MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms Jurnal Pengabdian Masyarakat Ilmu Komputer Journal Serambi Engineering (JSE) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Lidya Rosnita
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 59 Documents
Search

 2   3   4   5   6 
Interactive Visualization of Food Security Trends in North Aceh with a Business Intelligence Dashboard Rosnita, Lidya; Ikhwani, Muhammad; Aidilof, Hafizh Al Kautsar; Munauwar, Muhammad Muaz
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7190

Abstract

Food security in North Aceh Regency faces multifaceted challenges, including production fluctuations, price instability, and fragmented monitoring data across various institutions. These issues often hinder timely decision-making and the formulation of effective policies. Therefore, this study aims to develop a comprehensive Business Intelligence (BI) dashboard that can interactively visualize food security trends in North Aceh to support data-driven and evidence-based decision-making. The research methodology involves integrating data from multiple sources such as the Central Bureau of Statistics (BPS) and the Department of Agriculture using the ETL (Extract, Transform, Load) process to ensure consistency and accuracy. A data warehouse was then designed to store and manage the consolidated datasets efficiently, followed by the development of an interactive visual dashboard as the main analytical tool. The resulting dashboard is capable of visualizing six key parameters of food security through thematic maps, trend graphs, and comparative charts that allow users to observe temporal and spatial patterns. Advanced interactive features such as filtering, drill-down analysis, and cross-filtering provide users with the flexibility to independently explore data from different perspectives. The analysis demonstrates that the BI dashboard effectively integrates fragmented datasets, simplifies complex information, and enhances analytical capabilities for stakeholders. Overall, the findings indicate that implementing an interactive BI dashboard is a strategic and innovative solution to transform food security monitoring in North Aceh into a more proactive, integrated, and adaptive governance system, thereby strengthening regional resilience and policy responsiveness.
Pendampingan Kelompok Pengering Ikan Berbasis IoT dalam Meningkatkan Kualitas Ikan Asin untuk Mendukung Smart City Desa Pusong Baru Kota Lhokseumawe Rosnita, Lidya; Ikhwani, Muhammad; Safriana, Safriana
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20913

Abstract

Background: Kelompok Usaha Kase Teuplah di Desa Pusong Baru, Lhokseumawe, merupakan produsen ikan asin tradisional yang menghadapi kendala dalam kualitas produksi, penyimpanan, dan pemasaran. Metode: Pendampingan partisipatif berbasis R&D, pelatihan penerapan Standar Nasional Indonesia (SNI), pemasaran digital, dan implementasi teknologi IoT untuk memantau kualitas penyimpanan ikan asin secara real-time. Hasil: Penerapan SNI dan sistem IoT berhasil menekan tingkat kerusakan produk. Penjualan meningkat melalui perluasan saluran ke platform e-commerce seperti TikTokShop. Jumlah tenaga kerja bertambah dari 10 menjadi 17 orang. Kesimpulan: Sinergi antara penerapan SNI, adopsi IoT, dan penguatan pemasaran digital terbukti meningkatkan efisiensi produksi, kualitas produk, serta daya saing usaha lokal, sekaligus mendorong terwujudnya konsep smart village yang berkelanjutan di wilayah pesisir.
IMPLEMENTATION OF A SMART EMERGENCY LAMP HOME PROTOTYPE BASED ON INTERNET OF THINGS (IoT) USING NODEMCU ESP32 MICROCONTROLLER Muhammad Fajri; Bustami Bustami; Lidya Rosnita
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.3546

Abstract

Power outages in residential environments such as boarding houses often disrupt safety and comfort due to the lack of adequate emergency lighting systems. This study aims to develop a Smart Emergency Lamp Home prototype using the Internet of Things (IoT) with a NodeMCU ESP32 microcontroller. The system is designed to automatically activate emergency lighting during power failures and enable real-time monitoring and control via a web-based interface. The research follows an engineering method involving system design, hardware-software integration, and prototype testing. The hardware includes power sensors (INA219 and PZEM-004T), a 12V battery, inverter, relay module, and TFT display, while the software uses Node.js and a PostgreSQL database for web monitoring. Testing results demonstrate the system's high responsiveness, accurate sensor data transmission, efficient power usage (with power factors above 0.94), and stable operation during simulated blackouts. The notification system also worked effectively, providing timely alerts regarding lamp status and battery conditions. This prototype offers a practical, scalable, and low-cost solution for emergency lighting in residential settings and can be further developed with features like solar charging and mobile-based monitoring.
Sistem Informasi Pelayanan Cuti Berbasis Web Pada PT Pupuk Iskandar Muda Menggunakan PHP dan MySQL Retno, Sujacka; Rosnita, Lidya; Anshari, Said Fadlan
TECHSI - Jurnal Teknik Informatika Vol. 14 No. 1 (2023)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v14i1.12076

Abstract

Pada era-globalisasi ini teknologi informasi menjadi alat dasar yang dibutuhkan oleh setiap perusahaan yang ada. Dengan menggunakan teknologi informasi keakuratan dan kecepatan akses data akan lebih mudah di jalankan. PT Pupuk Iskandar Muda merupakan pabrik pupuk urea ke-11 di Indonesia dan pabrik ke-2 di Provinsi Aceh. Proses pengelolaan cuti pada PT Pupuk Iskandar Muda saat ini masih dilakukan secara manual. Proses pengelolaan cuti tersebut memiliki beberapa kelemahan. Karyawan tidak bisa mengetahui sisa hak cuti pribadi dan pengambilan cuti oleh rekan kerja secara langsung, sehingga karyawan tidak bisa melakukan manajemen cuti dengan baik.Pimpinan juga belum dapat mengambil keputusan cuti berdasarkan prinsip pemerataan hak cuti karyawan. Kelemahan yang lain adalah proses pengurusan cuti karyawan kurang efektif dan efesien. Dalam menyelesaikan masalah tersebut, penulis merancang sebuah sistem dengan menggunakan pemodelan ERD dan DFD, Personal Home Page (PHP) dan menggunakan basis data MySQL. Dengan adanya sistem pelayanan cuti di PT Pupuk Iskandar Muda ini, karyawan akan bisa lebih mudah untuk mengakses masalah percutian.
Implementation of Data Mining for Raw Material Stock Prediction in Clothing Production Using the C4.5 Algorithm Method Nur Ismiza; Lidya Rosnita; Nurdin
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

Al-Fatih Convection is a business engaged in the textile industry, located in Baktiya, North Aceh Regency. This company produces various uniforms for schools and workwear. Raw material stock management is a crucial aspect that affects the smoothness of the production process. Currently, the purchase of raw material stock still relies on estimation methods, often leading to excessive or insufficient stock. Therefore, a raw material stock prediction system is needed to optimize stock management.This research aims to implement the C4.5 algorithm to predict raw material stock for clothing production. The method is chosen for its ability to build a predictive model based on attributes such as material type, price, availability, and demand. Using data mining, this study generates a decision tree that helps Al-Fatih Convection prioritize which raw materials should be purchased. The results from the implementation of the C4.5 algorithm show an accuracy rate of 93%, which is expected to help reduce excessive or insufficient stock and improve operational efficiency at Al-Fatih Convection.
Sistem Presensi Mahasiswa Berbasis Pengenalan Wajah Real-Time dengan Deteksi Anti-Spoofing Menggunakan YOLOv8 dan ArcFace Fajar Satria; Defry Hamdhana; Lidya Rosnita
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9502

Abstract

Student attendance recording is an important aspect in supporting discipline and administrative order in academic environments. Manual attendance methods still have several limitations, such as potential fraud and inefficient recapitulation processes. This study aims to develop a real-time face recognition-based student attendance system by implementing the YOLOv8 algorithm for face detection and ArcFace for identity recognition, complemented with an anti-spoofing feature to prevent fraudulent attempts. The system is designed to detect faces directly, recognize registered student identities, and record attendance automatically. The main contribution of this study lies in the integration of YOLOv8-based face detection, ArcFace-based face recognition, and an anti-spoofing mechanism into a single unified real-time attendance system. Experimental results show that the system successfully recognizes all registered students with a 100% success rate. The YOLOv8 anti-spoofing model demonstrates excellent performance in distinguishing real and fake faces, achieving an mAP@0.5 value of 0.995 and an F1-score close to 1. The system is also able to record attendance time in real time according to the actual time and present attendance data systematically. Based on these results, the developed real-time face recognition attendance system is accurate, secure, and feasible to be implemented as an attendance solution in academic environments
Blood Bag Stock Availability Forecasting System at PMI UDD Lhokseumawe City Using the Random Forest Method Putri, Rizka Hilmi; Darnila, Eva; Rosnita, Lidya
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1022

Abstract

This study aims to develop a blood bag inventory forecasting system at the Blood Donation Unit (UDD) of the Indonesian Red Cross (PMI) in Lhokseumawe City and the UDD of PMI North Aceh using the Random Forest (RF) algorithm. The background of this study focuses on the imbalance between demand and availability of blood bags, which can have serious implications for patient safety. Using historical data comprising 574 records from the period 2022 to 2025, this study employs a quantitative approach with variables such as month, year, PMI location, blood type, incoming blood, and blood distribution. The research methodology includes preprocessing and feature engineering steps, resulting in 17 features for training the Random Forest (RF) model. This process was completed with hyperparameter optimization using RandomizedSearchCV to improve model accuracy. The results show that the PMI UDD Aceh Utara achieved excellent performance with an RMSE of 9.113 for incoming blood and 8.750 for distribution. On the other hand, the UDD PMI Lhokseumawe had an RMSE of 24.635 and 22.737, respectively. Comprehensive predictions for the 2025-2030 period indicate an optimistic projection with 94% surplus months and a positive net balance of 4,406.7 bags. The implemented web-based system supports real-time forecasting and strategic decision-making in blood bag inventory management within the PMI organization.
Pendampingan Implementasi dan Pelaksanaan E-office bagi Aparatur Gampong Cot Keumuneng Kabupaten Aceh Utara untuk Mendukung Smart governance Aidilof, Hafizh Al Kautsar; Rosnita, Lidya; Fitria, Rahma; Meiyanti, Rini; Yusdartono, Habib Muharry; Rangkuti, Haris Yunanda; Azwir, Andrea Micola
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.16410

Abstract

Background: Perkembangan teknologi khususnya tekologi informasi telah merubah pola pelayanan masyarakat desa sebagai unit terkecil dari pemerintahan Republik Indonesia, dari yang sebelumnya terbatas pada ruang dan waktu, kini telah fleksibel dan lebih leluasa. Pengabdian kepada masyarakat ini dilakukan untuk mendukung program pemerintah menerapkan konsep smart village dimana dalam pelaksanaan administrasinya menerapkan smart government. Metode: Kegiatan pengabdian kepada masyarakat ini menyasar Aparatur Desa Cot Keumuneng yang berjumlah 15 orang sebagai peserta pelatihan yang nantinya akan menggunakan aplikasi e-office. Setelah pelatihan dan pendampingan dilakukan survey untuk melihat pemahaman aparatur desa dalam menggunakan e-office. Hasil: Kegiatan pengabdian kepada masyarakat ini mendapat hasil positif di kalangan aparatur desa dimana dengan adanya aplikasi ini proses persuratan di kalangan aparatur desa menjadi lebih efektif dan efisien. Dampak lainnya adalah pelayanan kepada masyarakat dapat lebih ditingkatkan karena fleksibilitas yang didapat dengan penerapan teknologi informasi. Kesimpulan: Kegiatan pengabdian kepada masyarakat ini sangat bermanfaat baik bagi internal aparatur desa maupun bagi pelayanan kepada warga desa sendiri dan aparatur desa berharap kegiatan serupa dapat terus dilaksanakan secara berkesinambungan.
Spatial Analysis of Residential and Vacant Land using Mean Shift Clustering in Lhokseumawe City Aidilof, Hafizh Al Kautsar; Ula, Munirul; Mirsa, Rinaldi; Rosnita, Lidya; Almaula, Marhaban; Budiman, Muji
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7279

Abstract

Uncontrolled urban growth in medium-sized Indonesian cities like Lhokseumawe has created spatial disparities through uneven settlement distribution and numerous underutilized vacant lands, demanding adaptive and data-driven planning approaches. This study aims to analyze spatial patterns of settlement and vacant land distribution in Lhokseumawe City by implementing the Mean Shift Clustering algorithm and to develop spatial planning recommendations supporting sustainable development. The research employs a quantitative approach using spatial data from OpenStreetMap (OSM), Sentinel-2 satellite imagery (for NDVI calculation), and Detailed Spatial Planning (RDTR) data. The non-parametric, density-based Mean Shift Clustering algorithm was applied to adaptively group areas without predetermined cluster numbers, analyzing both city-wide and Blang Mangat District levels. Results show Mean Shift successfully identified 62 spatial clusters across Lhokseumawe City and 28 clusters (OSM-based) plus 37 clusters (RDTR-based) in Blang Mangat District. Analysis revealed linear-transitional urban development patterns from the west (dense urban core) to northeast (transition areas and vacant land), identifying zones of dense settlements, transition zones potential for infill development, and vacant land suitable for green spaces or planned development. Findings also revealed discrepancies between factual spatial patterns from clustering and RDTR zoning plans. The study concludes that Mean Shift Clustering effectively reveals natural spatial structures of settlements and vacant land, providing credible data for spatial policy revision with main recommendations focusing on vertical development, transportation system development along main corridors, and conservation area designation in eastern and northern zones to support Lhokseumawe's sustainable urban planning.
Co-Authors Afif, Muhammad Athallah Afridah, Rita Aidilof, Hafizh Al Kausar Aidilof, Hafizh Al Kautsar Al Kautsar Aidilof, Hafizh Almaula, Marhaban Amelia, Ulva Amir Fauzi Ansyari, Taufik Habib Armaya, Devira Yuda Asrianda Asrianda Azwir, Andrea Micola Azzahra Iskandar, Farah Bancin, Udurta Budiman, Muji Bustami Bustami Dahlan Abdullah Deassy Siska Defry Hamdhana Dela, Monisa Dian Putri, Yohana Diana, Mhd. Arief Efendi, Syahril Efendi, Syahril Elma Fitria Ananda Eva Darnila Eva Darnila Fachry Abda El Rahman Fadlisyah Fadlisyah Fajar Satria Fasdarsyah Fasdarsyah Fidyatun Nisa Fuadi, Wahyu Furqan, Hafizul Habib Muharry Yusdartono Hafidh Rafif, Teuku Muhammad Hamsi, Widia Harahap, Ilham Taruna Harahap, Lina Mardiana Ikramina ikramina ikramina, Ikramina Jange, Beno Khairul Amna, Khairul Kurniawati Kurniawati Lina Mardiana Harahap Mara Wahyu Alamsyah Pane Micola Azwir, Andrea Mirsa, Rinaldi Muhammad Azhari Muhammad Fajri Muhammad Fikry Muhammad Ikhwani Muhammad Muaz Munauwar Muhammad Muhammad Muhammad Zarlis Muhammad Zarlis, Muhammad Muharry Yusdartono, Habib Mukti Qamal Mulyadi, Rizki Munirul Ula Muzaffar Rigayatsyah Nanda Sitti Nurfebruary Nasution, Wahidatunnisa Naturizal, Rayhan Naza Amarianda Nur Ismiza Nurdin Nurfebruary, Nanda Sitti Nurhaliza Bin Aras Nurqamarina Nurul Aula Nurwijayanti Pasaribu, Hafni Maya Sari Pratiwi, Dinda Pulungan, Fauzi Irham Putri, Rizka Hilmi Putri, Sri Raihan Rachman, Aulia Rachmat Triandi Tjahjanto Rahma Fitria, Rahma Rahmadani Sari, Putri Dwi Rahmat Triandi Rangkuti, Haris Yunanda Rian Kelana Putra Rini Meiyanti Risawandi, Risawandi Rizal Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizky Putra Fhonna Safriana Safriana Safwandi Safwandi, Safwandi Said Fadlan Anshari salamah salamah Samosir, Dini Kairiyah Saputri, Rifa Andriani Siti Maimunah Sujacka Retno Syahputra, M Oriza Ulva Ilyatin Wahyu Fuadi Yesy Afrillia Yunanda Rangkuti, Haris Zalfie Ardian Zara Yunizar Zulfadli Zulfadli