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Analysis of students’ numeration ability in solving AKM class XI questions on Data and Uncertainty Fadhilah, Naufal; Handayani, Isnaini
Math Didactic: Jurnal Pendidikan Matematika Vol 9 No 2 (2023): Mei - Agustus 2023
Publisher : Universitas PGRI Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33654/math.v9i2.2287

Abstract

Kemampuan numerasi merupakan keterampilan penting pada abad ke-21 ini. Siswa harus memiliki kemampuan numerasi karena diperlukan guna memecahkan masalah matematika dalam kehidupan sehari-hari. Tujuan penelitian ini adalah untuk mendeskripsikan kemampuan numerasi siswa dalam menyelesaikan soal AKM kelas XI pada data dan ketidakpastian. Metode yang digunakan pada penelitian ini yaitu deskriptif dengan pendekatan kualitatif. Penelitian ini dilaksanakan di SMA Negeri 105 Jakarta. Subjek penelitian ini merupakan siswa kelas XI IPA. Instrumen yang digunakan dalam penelitian ini menggunakan soal tes kemampuan numerasi, wawancara serta observasi. Dari penelitian ini didapatkan bahwa subjek siswa berkemampuan numerasi rendah mampu menggunakan angka dan simbol, tetapi siswa belum mampu dalam menganalisis informasi, dan belum mampu dalam menafsirkan hasil analisis. Sedangkan, siswa berkemampuan numerasi sedang mampu menggunakan angka dan simbol, cukup mampu dalam menganalisis informasi, dan cukup mampu dalam menafsirkan hasil analisis. Kemudian, siswa berkemampuan numerasi tinggi mampu menggunakan angka dan simbol, mampu dalam menganalisis informasi, dan mampu menafsirkan hasil analisis.
PERANCANGAN SISTEM POINTING ANTENA TOWER BTS OTOMATIS UNTUK KOMUNIKASI WI-FI BERBASIS APLIKASI ANDROID: RANCANG BANGUN APLIKASI KONTROL POINTING ANTENA BTS BERBASIS ANDROID Fadhilah, Naufal; Rafsyam, Yenniwarti
Spektral Vol. 5 No. 2 (2024): Oktober 2024
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/spektral.v5i2.7237

Abstract

In this digital era, the demand for reliable and efficient communication networks is increasingly rising. One of the critical components in communication networks is the Base Transceiver Station (BTS), which requires an antenna with optimal orientation to ensure maximum signal quality. This research aims to design an automatic BTS antenna pointing system using an Android application. The system utilizes DC Gear Motors and Servo Motors to adjust the antenna's position and orientation in real-time. The Android application serves as an intuitive user interface, allowing technicians to easily calibrate and adjust the antenna. The system is designed to enhance time efficiency and accuracy in the antenna pointing process. The application is developed using Android Studio and Firebase Realtime Database. It is connected to the ESP32 via mobile Wi-Fi internet. The developed application functions effectively, enabling the tower to rotate to the specified angle accurately as commanded by the application. The code and system built significantly assist technicians in the antenna pointing process.
Analisis Perbandingan Performa Algoritma Sequential Search, Binary Search, dan SQL Search pada Aplikasi Kamus Digital Bahasa Indonesia Fadhilah, Naufal; Firdaus, Isad; Raihan Rasyiq, Rakan
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 19 No. 2 (2025): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

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

Abstract

Scientific language is often difficult for the general public to understand, while the process of searching for meanings in conventional dictionaries is time-consuming. This issue triggers the need for digital dictionary applications equipped with fast and efficient search algorithms. This study aims to conduct a comparative performance analysis between Sequential Search, Binary Search, and SQL Search methods in an Indonesian digital dictionary application. The research method used is performance analysis by measuring two main parameters: search time speed and memory usage. Testing was conducted with word search scenarios at the beginning, middle, and end positions of the data. The results show that the Binary Search algorithm is the fastest method with an average time of 0.0405 seconds, followed by SQL Search, while Sequential Search is the slowest with an average time of 17.3785 seconds. In terms of resource efficiency, Sequential Search has the lowest memory usage due to its structural simplicity, but Binary Search remains superior in efficiency for processing large data. The conclusion of this study is that Binary Search is most effectively applied to applications with large sorted datasets, while SQL Search provides better flexibility because its data management is handled directly by the database system.Bibar