Claim Missing Document
Check
Articles

Found 26 Documents
Search

Gold Price Prediction Using Long-Short Term Memory Algorithm Based on Web Application Dalimunthe, Rodiatul Adawiyah; Adek, Rizal Tjut; Agusniar, Cut
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.724

Abstract

Gold is a significant investment asset, particularly in times of economic instability. Various factors, including decisions by financial authorities, inflation, and global economic dynamics, influence the fluctuations in gold prices. Accurately predicting gold prices is valuable for investors when making investment decisions. This study aims to utilize the Long Short-Term Memory (LSTM) algorithm for predicting gold prices and develop a web-based application connected to Yahoo Finance to acquire real-time gold price data. The LSTM algorithm was chosen because it handles time series data with long-term dependencies. LSTM has an architecture that allows the model to retain relevant information over long periods and forget irrelevant data. In this study, the developed LSTM model produced a Mean Absolute Error (MAE) of 19.81, indicating that the average prediction deviates by approximately 19.81 units from the actual value. Furthermore, an average Mean Absolute Percentage Error (MAPE) of 0.83% demonstrates the high prediction accuracy. The results of this study show that LSTM is an effective method for predicting gold prices. The resulting web application allows users to access gold price projections interactively, thereby assisting investors in making more accurate and data-driven decisions with easy access. Additionally, the web application offers customizable features such as adjusting prediction parameters and visualizing results in real time.  These features not only enhance user engagement but also improve decision-making processes. This research provides a practical tool for optimizing investment strategies in a dynamic economic environment by leveraging machine learning and seamless web integration.
SISTEM PENGENALAN POLA MAD IWAD PADA CITRA AL-QUR`AN DENGAN MENGGUNAKAN METODE COSINE Munauwarah, Munauwarah; Safwandi, Safwandi; Agusniar, Cut
Jurnal Teknologi Terapan and Sains 4.0 Vol 5 No 3 (2024): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v5i3.19680

Abstract

Mempelajari ilmu Al-Qur'an sesuai dengan hukum dan kaidah tajwid yang benar adalah kewajiban, karena kesalahan dalam pengucapan huruf Al-Qur'an dapat mengubah maknanya. Dalam Al-Qur'an, terdapat berbagai tanda khusus seperti hukum tajwid dan hukum mad, yang umumnya dipelajari dengan bimbingan guru ahli Al-Qu`an. Namun, metode belajar langsung dari guru menjadi kurang efisien di era modern ini, yang menuntut cara lebih praktis karena keterbatasan waktu dan akses. Seiring perkembangan teknologi, dibutuhkan sistem yang mampu mengenali hukum tajwid, khususnya mad iwad, melalui citra yang diinputkan secara digital. Program ini dirancang untuk memudahkan pengenalan pola mad iwad yang terdapat di dalam Al-Qur'an. Penelitian ini menjelaskan bahwa pola dideteksi melalui beberapa tahap, yaitu resize gambar, konversi ke citra grayscale, dan dilanjutkan dengan konvolusi. Proses pendeteksian pola mad iwad, khususnya pada surah Abasa, menggunakan metode Cosine yang menghitung nilai citra berdasarkan koordinasi dan piksel citra tersebut. Hasil penelitian menunjukkan bahwa sistem pengenalan pola mad iwad pada surah Abasa ini mencapai detection rate sebesar 85%. Ini membuktikan bahwa metode Cosine efektif dan dapat diterapkan sebagai salah satu pendekatan untuk mendeteksi pola mad iwad dalam citra Al-Qur'an. Namun, efektivitas sistem ini bergantung pada kualitas citra, semakin jelas citra yang diinput, semakin mudah sistem dalam mendeteksinya.Kata kunci: Sistem pengenalan pola, Mad Iwad, Metode Cosine, Surah Abasa
The Decision Support System for Feasibility Testing of Healthy Canteens at Universitas Malikussaleh Using the Multi-Attribute Utility Theory Method Ulfa, Nur Saufani; Abdullah, Dahlan; Agusniar, Cut
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.815

Abstract

This research aims to develop a decision support system based on the Multi-Attribute Utility Theory (MAUT) method to evaluate the feasibility of healthy canteens at Malikussaleh University. The system is designed to assess the feasibility of canteens based on six main criteria: Selection of Raw Materials, Storage of Food Ingredients, Food Processing, Food Storage, Food Transportation, and Food Serving. This study evaluated 20 canteens on campus, with feasibility values calculated based on the weights assigned to each Criterion. The results showed that the canteen with the alternative code A11 (Kopita BI) received the highest score of 0.956, followed by A6 (Umi), with a score of 0.798, and A10 (Alisha), with a score of 0.620. Out of the 20 canteens evaluated, only three canteens were categorized as "Feasible," 3 as "Sufficiently Feasible," and the remaining 14 were deemed "Not Feasible." These findings highlight the urgent need to improve the quality of most canteens. The criteria for Selection of Raw Materials and Food Processing had the highest weights, emphasizing the importance of these two aspects in maintaining food quality and health standards. Implementing this system simplifies data management and analysis and provides clear recommendations for canteen managers to improve service and health standards. Thus, this system is expected to promote healthier and higher-quality campus canteens. This research enhances canteen service quality in university environments and can serve as a reference model for other educational institutions in evaluating and improving their canteen facilities.
Sistem Booking Makeup Artist Berbasis Web Menggunakan Algoritma SHA-256 Cut Agusniar; Muslimah Siregar, Khanifa; Rasyid, Rasmiati
Jurnal Informatika Polinema Vol. 11 No. 2 (2025): Vol. 11 No. 2 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v11i2.6653

Abstract

Sistem Booking Makeup Artist (HaniBunny MUA) adalah sebuah sistem pemesanan jasa Makeup Artist (MUA) berbasis web yang dirancang untuk mempermudah pelanggan dalam mencari dan memesan jasa makeup artist untuk berbagai kebutuhan, seperti acara pernikahan, pesta dan photoshoot. Sistem ini dilengkapi dengan fitur utama yaitu registrasi dan login untuk pengguna dan admin, serta fitur pemesanan yang memungkinkan pengguna untuk memilih MUA sesuai dengan preferensi dan jadwal yang diinginkan. Pengimplementasian website ini menggunakan Bahasa Pemograman Python dengan teknologi Mikroframework Flask sebagai framework backend dan SQLite sebagai database untuk penyimpanan data pengguna dan pemesanan. Peningkatan keamanan data, algoritma Secure Hash Algorithm - 256 (SHA-256) digunakan untuk mengenkripsi kata sandi pengguna sebelum disimpan di database, memastikan perlindungan data dari akses tidak sah. Pengguna dapat melihat daftar makeup style yang tersedia beserta deskripsi layanan yang ditawarkan, serta mengakses halaman pemesanan untuk memilih tanggal, layanan yang akan dipilih, dan mengisi informasi kontak. Sebagai tambahan, admin dapat mengelola data booking dan pengguna melalui dashboard yang sudah disediakan. Sistem Booking Makeup Artist ini bertujuan untuk meningkatkan efisiensi dan kenyamanan dalam proses pemesanan jasa MUA, sekaligus memberikan platform yang mudah digunakan bagi semua kalangan. Dengan penggunaan sistem berbasis web, Sistem Booking Makeup Artist ini dapat diakses kapan saja dan di mana saja, memberikan kemudahan dalam merencanakan momen spesial dengan tampilan makeup yang sempurna.
Introduction and Basic Calculation Guide Using Ayo Menghitung Application for Early Childhood Agusniar, Cut; Gemasih, Husna; Zubaedah, Reza
Gameology and Multimedia Expert Vol 2, No 2 (2025): Gameology and Multimedia Expert - April 2025
Publisher : Department of Informatics Faculty of Engineering Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/game.v2i2.21122

Abstract

The advancement of technology in education has enabled the development of various interactive applications that facilitate the learning process, particularly in basic mathematical calculations. The Ayo Menghitung application is designed as a gamification-based learning tool to help children understand the concepts of addition, subtraction, multiplication, division, and number comparison in a more engaging and interactive way. This application features a child-friendly interface and visually appealing elements to enhance user engagement in the learning process. This study aims to develop an educational application that improves children's arithmetic skills through game-based learning methods. The development process includes needs analysis, system design, implementation, and application effectiveness evaluation. The evaluation results indicate that the application successfully increases children's interest in mathematics and helps them understand fundamental arithmetic concepts more effectively. Thus, Ayo Menghitung serves as an innovative solution to support early childhood mathematics education.
Utilizing K-Means Clustering for Grouping Student Achievement Data to Evaluate Learning Activeness Agusniar, Cut; Mulya Ulfa, Septia; Rhomadhona, Herfia
Journal of Advanced Computer Knowledge and Algorithms Vol. 2 No. 3 (2025): Journal of Advanced Computer Knowledge and Algorithms - July 2025
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v2i3.22591

Abstract

Learning basically aims to foster student activity and creativity through various learning experiences and interactions. Teachers are an important part of the process of improving the quality of education. In addition, the success of the learning process depends on student activity. The world of education needs to improve the quality of students and their performance by using existing facilities, infrastructure and human resources. One way information systems can be used to improve student achievement and quality is by analyzing grades based on students' academic abilities, discipline and way of behaving.The aim of this research is to group students based on academic scores, disciplinary scores and attitude scores using the K-Means Clustering algorithm, so that the cluster results can be used as a reference in improving student scores in the next learning process. In this research, the elbow method was used to determine the optimal number of clusters. Students will be grouped into clusters. Visualization and correlation analysis between value variables is carried out to provide further insight into the distribution of data and the relationship between its values.
Penerapan Logika Fuzzy Tsukamoto pada Rancang Bangun Sistem Deteksi Kekeruhan Air Budi Daya Ikan Lele Rizki, Muhammad; Darnila, Eva; Agusniar, Cut
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp112-120

Abstract

This study develops a water quality monitoring system for catfish farming using the Internet of Things (IoT) and Fuzzy Tsukamoto logic. This system consists of a Turbidity Sensor to measure turbidity levels, a DS18B20 sensor to monitor temperature, and a pH meter to measure water acidity levels. Data from the sensors is sent in Realtime to Firebase and displayed in an Android application based on Kodular. The Fuzzy Tsukamoto method is used to analyze data, determine the water quality status whether the water value is Clean, Normal, or Turbid based on predetermined parameters. Based on 14 tests, the system showed an accuracy level of 85.7%, with 12 matching results. In addition, this system is able to provide automatic notifications to users if there are significant changes in water conditions. As a result, this system can help fish farmers monitor water quality efficiently, as well as make decisions about when is the right time to change pond water.
A Comparative Study of K-Means and K-Medoids for Clustering Dengue Fever Risk Areas in Medan Fitri, Anisa Amelia; Ula, Munirul; Agusniar, Cut
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8702

Abstract

Dengue Hemorrhagic Fever (DHF) is a localized disease that continues to contribute to a high number of cases in Medan City. The local health authority faces challenges in identifying priority areas for effective prevention and control. This study applies data clustering techniques to map DHF risk areas by comparing the performance of K-Means and K-Medoids algorithms. The optimal number of clusters was determined using the Silhouette Coefficient, while the clustering quality was assessed using the Davies-Bouldin Index (DBI). The findings indicate that K-Means performs best with four clusters and achieves a lower DBI value compared to K-Medoids. Based on this, the study recommends using K-Means to categorize DHF risk areas into four priority levels: high, medium, low, and very low. This approach is expected to support the Medan City Health Office in implementing more targeted and efficient DHF control strategies.
Penerapan Aplikasi Pengembangan Bank Soal Berbasis TPACK pada Siswa Sekolah Menengah Atas Ula, Mutammimul; Maryana; Zuraida; Cut Agusniar; Syibral Malasyi; Mochamad Ari Saptari
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i1.22074

Abstract

Penerapan aplikasi pengembangan bank soal berbasis TPACK (Teknologi, Pedagogi, dan Konten) bertujuan untuk meningkatkan kualitas pembuatan dan pengelolaan soal ujian secara efisien dan efektif. Aplikasi ini mengintegrasikan aspek Konten (subject matter), Pedagogi (metode pengajaran), dan Teknologi (alat bantu digital), sehingga memungkinkan guru atau pendidik untuk merancang soal yang sesuai dengan standar pembelajaran dan kebutuhan siswa. Aplikasi ini dirancang untuk membantu guru dan pendidik dalam mengembangkan bank soal berbasis teknologi yang mengintegrasikan konsep TPACK (Technological Pedagogical Content Knowledge). Dengan sistem ini, pengguna dapat membuat, mengelola, dan mengevaluasi soal secara digital, serta menyesuaikan soal sesuai tingkat kesulitan dan kompetensi yang diharapkan. Penerapannya mendukung proses pembelajaran yang lebih interaktif dan adaptif, memudahkan distribusi soal secara online, dan meningkatkan transparansi serta efisiensi dalam evaluasi pendidikan. Fitur utama aplikasi ini meliputi penyimpanan dan pengelolaan bank soal yang variatif sesuai berbagai mata pelajaran dan tingkat pendidikan. Penyusunan soal berbasis Keterampilan dan Tes Bakat siswa, termasuk pilihan ganda, isian, dan soal esai. Hasil dari pengabdian aplikasi berbasis TPACK ini membantu pendidik menggabungkan aspek konten, pedagogi, dan teknologi secara harmonis dalam pengembangan bank soal, sehingga mendukung kompetensi belajar siswa dan pendukung proses evaluasi yang lebih modern dan relevan di era digital. Integrasi penggunaan teknologi dalam pembuatan soal sehingga mendukung metode pembelajaran aktif dan inovatif. Fasilitas penilaian otomatis dan laporan hasil tes siswa.
Mathematics Adventure: Game Edukasi Interaktif untuk Meningkatkan Pemahaman Matematika Siswa Sekolah Dasar Retno, Sujacka; Agusniar, Cut; Meiyanti, Rini; Fitria, Rahma
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i1.22233

Abstract

Program pengabdian masyarakat ini bertujuan untuk meningkatkan kualitas pembelajaran matematika di SD Negeri 28 Sawang, Aceh Utara, melalui pengembangan dan implementasi game edukasi berbasis teknologi, Mathematics Adventure. Game ini dirancang untuk siswa kelas III dengan tujuan membantu mereka memahami konsep operasi bilangan bulat, seperti penjumlahan, pengurangan, perkalian, dan pembagian, melalui pendekatan yang interaktif dan menyenangkan. Kegiatan ini melibatkan analisis kebutuhan pengguna, pengembangan game menggunakan platform Unity, pelatihan bagi guru, serta implementasi dan evaluasi langsung kepada siswa. Hasil evaluasi menunjukkan bahwa penggunaan Mathematics Adventure berhasil meningkatkan minat dan motivasi siswa dalam belajar matematika, dengan 90% siswa menunjukkan antusiasme yang lebih besar dan peningkatan pemahaman konsep sebesar 20%. Guru juga merasakan manfaat signifikan dari media pembelajaran ini, yang dinilai efektif dalam menyampaikan materi matematika dengan cara yang lebih menarik. Melalui program ini, siswa tidak hanya memperoleh pengalaman belajar yang lebih menyenangkan tetapi juga mengembangkan keterampilan digital dasar. Diharapkan kegiatan ini dapat menjadi inspirasi untuk pengembangan lebih lanjut media pembelajaran berbasis teknologi, serta mendorong kolaborasi yang berkelanjutan antara pendidik dan pengembang.