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All Journal Teknika ITEj (Information Technology Engineering Journals) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) International Journal of Engineering, Science and Information Technology Brilliance: Research of Artificial Intelligence Algoritme Jurnal Mahasiswa Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma MIMBAR INTEGRITAS Jurnal Malikussaleh Mengabdi INOVTEK Polbeng - Seri Informatika
Zahratul Fitri, Zahratul
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Penerapan Algoritma K-Means Clustering untuk Segmentasi Kepadatan Penduduk Berbasis GIS Putri, Rizki Amelia; Safwandi, Safwandi; Fitri, Zahratul
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8668

Abstract

This study aims to develop a clustering system using the K-means algorithm to analyze demographic data of sub-districts from 2020 to 2023. The system is designed to cluster sub-districts based on variables such as population size, population percentage, population density, and gender ratio. The clustering results reveal different grouping patterns each year, reflecting the dynamics of demographic data over time. Evaluation using the Davies-Bouldin Index (DBI) indicates that the clustering results are of reasonably good quality, with DBI values of 1.1492 in 2020, 0.6859 in 2021, 1.2470 in 2022, and 0.6805 in 2023. The best DBI value was recorded in 2023 at 0.6805, demonstrating that the clustering results in that year were the most optimal compared to other years. The system also facilitates Users with interactive map visualizations, supporting better data analysis and decision-making processes. This research is expected to contribute to the management of demographic data and support more accurate data-driven policy-making.
Implementasi Algoritma XGBoost dengan Walk Forward Validation untuk Prediksi Harga Emas Antam Hisyam, Mochammad; Fitri, Zahratul; Aidilof, Hafizh Al Kautsar
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8693

Abstract

Accurate gold price prediction is crucial in supporting financial and investment decision-making. This study aims to develop and optimize a daily gold price prediction model using the Extreme Gradient Boosting (XGBoost) algorithm based on historical price data and technical indicators. The model was constructed to predict two types of prices, namely "Close" and "Buyback" prices in IDR/gram. Optimization was carried out using Bayesian Optimization to obtain the best hyperparameter combinations. The model was evaluated using a Walk Forward Validation (WFV) approach with a 14-day sliding window and two main evaluation metrics: Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results show that the model provides excellent predictive performance, with an average RMSE of 15,431.92 and MAPE of 1.03% for Close price, and RMSE of 15,382.64 and MAPE of 1.15% for Buyback price. The prediction visualizations indicate that the model consistently follows the actual price trend. Feature importance analysis reveals that technical indicators such as RSI, EMA, and MACD significantly contribute to the model. The success of this study demonstrates that an optimized XGBoost model can serve as a reliable approach for gold price forecasting and opens opportunities for developing more advanced predictive models in future research.
EDUKASI TENTANG PENYAKIT SKABIES DAN PEMBERDAYAAN KEPADA ANAK-ANAK DI PANTI ASUHAN GEURUGOK KABUPATEN BIREUEN Wahyuni, Sri; Winandar, Aris; Rahayu, Cut Fitriani; Sahira, Dianda; Syathira, Najwa; Fitri, Zahratul; Nisfiani, Nisfiani; Rita, Fatia; Shaleha, Cut Dini
MIMBAR INTEGRITAS : Jurnal Pengabdian Vol 4 No 2 (2025): AGUSTUS 2025
Publisher : Biro Administrasi dan Akademik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/mimbarintegritas.v4i2.6930

Abstract

Penyakit skabies adalah penyakit menular yang berkaitan dengan lingkungan dan disebabkan oleh infestasi tungau Sarcoptes scabiei var hominis. Skabies merupakan masalah kesehatan yang sering dihadapi oleh anak-anak di panti asuhan karena kondisi lingkungan padat dan sanitasi yang kurang memadai. Kegiatan ini bertujuan untuk meningkatkan pengetahuan dan memberdayakan anak-anak Panti Asuhan Geurugok mengenai penyakit skabies melalui penyuluhan kesehatan. Metode kegiatan meliputi pretest, penyuluhan interaktif, sesi tanya jawab, dan posttest terhadap 50 anak. Hasil menunjukkan peningkatan signifikan pada skor pengetahuan anak-anak dari rata-rata 45% pada pretest menjadi 85% pada posttest. Observasi menunjukkan perubahan perilaku positif dalam menjaga kebersihan diri dan lingkungan. Kegiatan ini terbukti efektif meningkatkan pengetahuan dan kesadaran anak-anak tentang pencegahan skabies, sehingga diharapkan dapat menurunkan angka kejadian skabies di lingkungan panti asuhan.
IoT-Based Monitoring System To Support Village Food Security In The Smart Village Concept Nunsina, Nunsina; Fitri, Zahratul; Nazimah, Nazimah; Ulva, Ananda Faridhatul
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.v5i2.7229

Abstract

Food security is a critical issue that directly affects a nation’s social, economic, and political stability. The growing demand for staple foods such as rice, corn, and soybeans continues to exceed domestic production capacity, posing challenges to sustainable agricultural development. To overcome these issues, the Smart Village concept presents an innovative solution by integrating digital technology into rural agricultural systems. This study focuses on applying the Internet of Things (IoT) to enhance agricultural productivity and food security in Bireuen Regency. An IoT-based monitoring prototype was developed to regulate essential environmental parameters—pH, electrical conductivity (EC), nutrient solution temperature, and air humidity—through real-time sensor data collection and automated control. Experimental implementation revealed that the system effectively maintained optimal conditions: pH between 5.5–6.5, EC from 1.2–2.0 mS/cm, temperature between 20–28 °C, and humidity ranging from 65–80%. These controlled conditions created a stable growing environment that significantly improved crop performance. The results demonstrated measurable benefits: lettuce productivity increased by 18%, water-use efficiency improved by 27%, and crop failure rates decreased by 20%. Such improvements indicate that IoT technology not only stabilizes environmental variables but also enhances resource utilization and supports sustainable farming practices. Overall, the integration of IoT-based monitoring systems within the Smart Village framework represents a strategic approach to modern agriculture, promoting efficiency, sustainability, and rural independence in food production.
Penerapan Internet Of Things dan You Only Look One Pada Sistem Keran Air Wudhu Pintar Sebagai Edukasi Siswa Laksana, Fatih Dwi; Fitri, Zahratul; Suwanda, Rizki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2490

Abstract

This study aims to develop a smart wudhu water tap system based on the Internet of Things (IoT) as an interactive educational medium for students. The system is equipped with object detection sensors, voice guidance, and the YOLOv8 algorithm to detect and classify wudu movements in real-time. Accuracy evaluation was performed using the Fuzzy Takagi-Sugeno-Kang (TSK) method, which categorizes the results into three levels: “Low,” “Medium,” and “High.” Test results show excellent detection performance, with an average mAP50 value of 0.993, mAP50-90 of 0.746, recall of 0.998, and defuzzification results in the “High” category. This system is effective in providing educational feedback and supporting technology-based wudhu learning. In the future, this system has the potential to be implemented in schools on a larger scale and developed to improve its accuracy and functionality.
Co-Authors - Fakhrurrazi Ade Irfan Aidilof, Hafizh Al Kautsar Akbar, Muhammad Zulfat Ananda Faridhatul Ulva Andik Bintoro Angga Pratama ANNISA KARIMA Asrianda Asrianda Bakhtiar Bakhtiar Dahlan Abdullah Delianda, Anggun Dewi Anggraini Dita Amelia, Dita Emi Maulani Eva Darnila Fadliani, Fadliani Fuadi, Wahyu Hisyam, Mochammad Irwansyah, Defi Kausar, M Reza Khairul Amna Laksana, Fatih Dwi Leni Maulinda Liza Afra Merdu, Bunga Mawarni MUHAMMAD TEGUH, MUHAMMAD Muhibuddin Muhibuddin, Muhibuddin Mutammimul Ula Nazimah Nazimah Nisa, Miftahul Nisfiani, Nisfiani Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin Nuriana, Nuriana Putri, Rizki Amelia Rahayu, Cut Fitriani Rahma, Putri Razi, Ar Rita, Fatia Rizal S.Si., M.IT, Rizal Rizki Suwanda Safriana Safriana Safwandi Safwandi, Safwandi Sahira, Dianda Samsuar, Samsuar Saptari, Mochamad Ari Shaleha, Cut Dini Siregar, Siti Chairani Sri Wahyuni Syathira, Najwa Ummi Kalsum Winandar, Aris Zainal Abidin Zul Akli