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Analisis Tingkat Literasi Digital Siswa Berbasis Web Game Edukasi Sebagai Bagian Kesiapan Pembelajaran Digital Huda, Muhamat Maariful; Tricahyo, Vion Age; Yusron, Rizqi Darma Rusydian; Septarina, Amalia Agung
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 2 No. 2 (2024): Juni 2024
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v2i2.352

Abstract

Salah satu bentuk penerapan digital dalam konteks pembelajaran adalah melalui penggunaan permainan edukatif. Pendekatan ini lebih ditujukan kepada siswa yang memiliki akses ke teknologi. Penelitian ini bertujuan untuk merumuskan dan mengimplementasikan bagaimana permainan dapat dijadikan sebagai sarana pembelajaran yang menarik dan bermanfaat. Dalam implementasinya, kami menggunakan platform aplikasi Kahoot yang berisi berbagai kuis yang relevan dengan materi pelajaran, termasuk Matematika dan Ilmu Pengetahuan Alam, serta materi umum yang sesuai dengan kurikulum 2013. Efektivitas permainan sebagai alat pembelajaran akan dievaluasi melalui analisis tingkat literasi digital, dengan penyesuaian yang sesuai dengan konteks yang ada. Evaluasi ini mencakup berbagai aspek, termasuk dari sudut pandang siswa, guru, serta infrastruktur pendukung. Pada penelitian penerapan game menggunakan Kahoot dengan menghitung 7 aspek literasi menghasilkan skor sebesar 80,88. Nilai tersebut secara kualitatif menunjukkan hasil yang sangat baik. Dan dengan hasil tersebut, MIS Hidayatulloh dinilai siap menerapkan media pembelajaran digital di seluruh aspek sekolah.
Implementasi Arsitektur Visual Geometry Group 16 (VGG16) untuk Deteksi Cardiomegaly pada Chest X-Ray Azizah, Rahma Nur; Huda, Muhamat Maariful; Tricahyo, Vion Age; Septarina, Amalia Agung
Jurnal Teknik Elektro dan Komputer TRIAC Vol 11, No 1 (2024): Mei 2024
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v11i1.24371

Abstract

Abstract— Penelitian ini ditujukan untuk pengembanganmetode deteksi cardiomegaly menggunakan foto toraks yangmenghasilkan dua klasifikasi yakni kelas cardiomegaly dannon cardiomegaly. Cardiomegaly adalah pembengkakanjantung dimana jantung memiliki berat yang tidak normaldaripada jantung pada umumnya. Deteksi dini cardiomegalyperlu dilakukan, karena hal ini merupakan faktor pentingdalam penyakit jantung yang parah. Selain itu, pentingnyadeteksi dini juga dapat mengurangi risiko komplikasi akibatcardiomegaly. Pemanfaatan teknologi kecerdasan buatandalam sistem pendukung pakar medis dengan data medismemberikan kontribusi dalam bidang kedokteran. Olehkarena itu, teknik hasil analisis dari sistem medis menjadifaktor penting dalam pengembangan dan implementasi yangefektif. Pendekatan yang digunakan dalam penelitian inimelibatkan model Convolutional Neural Network arsitekturVGG16 dengan tahap preprocessing dan penggunaan layeraugmentasi dalam menganalisis citra. Melalui implementasiVGG16, hasil penelitian ini mencapai tingkat akurasi 78% danROC AUC terdefinisi sebagai good classification dengan nilaisebesar 0,83. (Abstract)
SystematIc Literature Review: Analisa Sistem Rekomendasi Pariwisata di Kota Palembang Khumaidi, M Khilda Agus; Huda, Muhamat Maariful; Yusron, Rizqi Darma Rusdiyan
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4002

Abstract

The purpose of this research is to evaluate and analyze various recommendation system methods that have been applied in the tourism industry, particularly in the city of Palembang. As many as 35 articles published between 2020 and 2025 were thoroughly reviewed using the systematic literature review (SLR) method. The research focuses on three main aspects, namely: the recommendation system approach methods used, the types of datasets utilized, and the evaluation metrics applied in tourism recommendation systems. The research results show that the Hybrid Filtering method, which combines Collaborative Filtering and Content-Based Filtering, consistently delivers the best performance in improving the accuracy and relevance of recommendations, and is effective in addressing the issues of cold-start and sparsity. The most commonly used datasets come from platforms such as TripAdvisor, Yelp, Foursquare, and OpenStreetMap, which provide user review data, geographical locations, and tourist activities. The evaluation of system performance heavily utilizes metrics such as Precision, Recall, F1-Score, MAE, and RMSE.
Analysis of Cybersecurity Awareness Among Social Media Users Among Teenagers Using Exploratory Factor Analysis (EFA) & Confirmatory Factor Analysis (CFA) Methods Angela, Sofia; Huda, Muhamat Maariful; Rusdiyan, Rizqi Darma
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11407

Abstract

Nowadays, security awareness is very important for social media users, especially teenagers. Many users become victims of cybercrime due to the lack of education about cybersecurity awareness. This case began with many complaints submitted by teenagers from SMP Negeri 2 Ngoro, one of whom was a victim of cybercrime on Instagram social media whose account was hijacked by unknown individuals. This also happens on WhatsApp social media where there are criminals who steal someone's identity to be used as a victim and commit fraudulent money transfers, credit and other fraud. The purpose of this study was to assess and ensure the level of cybersecurity awareness among the three most significant social media platforms in Indonesia, namely WhatsApp, Instagram, and TikTok. The Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) methods were used to analyze the online survey data set. The EFA results obtained were 6.67% insignificant in one of the factors contained in the knowledge variable and 93.33% EFA results stated significant. Meanwhile, the CFA calculation results obtained 80% results which were stated as Fit, indicating that the model accurately represented the data, 20% of the CFA calculation results stated Moderate Fit because they reflected values that were almost close to the fit value.
PREDIKSI HARGA BITCOIN MENGGUNAKAN ALGORITMA LONG SHORT-TERM MEMORY Munir, M.Sirojul; Huda, Muhamat Maariful; Prabowo, Tito
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.7937

Abstract

Cryptocurrency, atau mata uang kripto, merupakan bentuk aset digital yang memanfaatkan teknologi kriptografi untuk mengamankan transaksi, mengontrol penciptaan unit-unit baru, serta memverifikasi transfer aset yang ada. Mata uang kripto yang pertama kali diperkenalkan adalah Bitcoin. Salah satu keunikan dari cryptocurrency, termasuk Bitcoin, adalah sifatnya yang terdesentralisasi, artinya tidak diatur oleh lembaga pusat seperti bank atau pemerintah, melainkan menggunakan teknologi blockchain. Perubahan harga Bitcoin dapat terjadi secara cepat dan drastis dalam waktu singkat, sehingga sulit diprediksi secara akurat. Untuk menangani permasalahan prediksi harga pada aset yang sangat volatil seperti Bitcoin, digunakan berbagai pendekatan algoritma pemodelan data, salah satunya adalah algoritma Long Short-Term Memory (LSTM). Berdasarkan hasil penelitian dapat disimpulkan bahwa time step harian (1 hari) menghasilkan nilai RMSE terkecil, yaitu 1823.24 atau 2.86% dari rata-rata nilai aktual.
The DESIGN AND DEVELOPMENT OF COMBAT ROBOT SYSTEM ON THE CIA VERSION N2MR3 USING THE INTERNET OF THINGS (IOT) BASED RASPBERRY PI 4.0 Penu, Melkianus; Gunawan, Petrus; Huda, Muhamat Maariful
Jurnal Telkommil Vol. 2 No. 2 (2021): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v2iOktober.173

Abstract

Abstract - Along with the rapid development of science and technology, including robot technology. It can lighten and help the work done by humans. In the military world, the role of robots is indispensable both in peace and in war. This research was carried out using a pure experimental method on the Design of a Propulsion System for Combat Robots using the Internet of Things (IoT) Based on Raspberry 4.0. The working principle of this combat robot is based on data sent using MiFi (Tx) which will then be processed using Raspberry 4.0 and transmitted to MiFi (Rx) via the Internet of Things (IoT). Furthermore, the data received will be processed so that the driving system will produce driving force using a differential drive system, the difference in rotation of the driving motor is regulated by the microprocessor to the MY 1061 speed control, the pulse signal sent by the Raspberry Pi will regulate the amount of current sent to the DC motor so that the motor can turn left and right.
The UNMANNED AERIAL VEHICLE (UAV) AIRCRAFT DESIGN GALAK-24 WITH AUTONOMOUS METHOD Surono, Argo; Ashar, Imam; Huda, Muhamat Maariful
Jurnal Telkommil Vol. 2 No. 2 (2021): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v2iOktober.181

Abstract

Abstract: Unmanned Aerial Vehicle is a type of aircraft that is controlled by a remote-control system via radio waves. UAV is an unmanned system (Unmanned System), which is an electro-mechanical-based system that can carry out programmed missions with the characteristics of a UAV that is able to fly without a pilot capable of controlling automatically and can run again by carrying several weapons or other tools. An autopilot is a mechanical, electrical, or hydraulic system that guides a vehicle without human intervention. The application of the Autonomous control system on the UAV is carried out by using Autonomous equipment in the form of components such as Flight Controller, GPS, Mission Planner Software and Telemetry. The number of parameters set by the observations made on the movement of the UAV when in Auto mode. The flight test used a square waypoint with a distance of 500 meters on each side. The UAV is able to fly in an Autonomous manner stably using a predetermined Waypoint. This is a pure experiment by means of tool testing and data collection that requires very high attention from the crew and results in fatigue.
The IMPLEMENTATION OF AUTONOMOUS WAYPOINT IN RECONNAISSANCE PLANE (UNMANNED AERIAL VEHICLE) UAV GALAK-24 USE WITH MISSION PLANNER Huda, Muhamat Maariful; Herlambang, Luthfan; Kuncoro, Eko
Jurnal Telkommil Vol. 2 No. 2 (2021): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v2iOktober.183

Abstract

Abstract: UAV or unmanned aerial vehicle is an air vehicle or what we often call an airplane that is controlled without a crew but controlled by a pilot remotely using a remote control. This study uses quantitative experiment methods because in this study it must be carried out when the UAV is flying using the autonomous waypoint method. Running the UAV with the autonomous waypoint method, we can use the Mission Planner software. First, we have to install the application on the mission planner and install pixhawk on the UAV which will act as the UAV brain that will receive and execute flight commands that will be sent by the mission planner later. The mission planner can also directly display flight data such as UAV altitude, UAV speed, UAV location, then the mission planner can also store flight data run by the UAV. The Autonomous waypoint method has been widely used in the military field, such as to carry out attacks on the enemy, reconnaissance, and patrol in an area quickly, and can also reduce casualties during combat operations.