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IMPLEMENTASI PEMBELAJARAN BERBASIS MASALAH PADA KURIKULUM 2013 DI SMK NEGERI 2 PADANG Masril, Mardhiah; Jalinus, Nizwardi; Jama, Jalius; Dakhi, Oskah
Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Vol 12 No 1 (2020): Januari 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/konstruk.v12i1.956

Abstract

The purpose of this study is to describe the problem-based learning situation in the implementation of the 2013 SMK curriculum and the learning situation after the implementation of Problem Based Learning (PBM). The approach of this research is a quantitative research using the ex post facto method and the data analyzed descriptively. The study was conducted in four majors at SMK Negeri 2 Padang. The population sample in this study was the educator who demonstrated the implementation of PBM in the implementation of the 2013 Curriculum. Information was collected with interview techniques and questionnaires by conducting Focused Group Discussions. Analyzing the data is done descriptively. This study obtained results, namely: a). PBM is so potentially carried out in the implementation of the 2013 curriculum in SMK. The stability of educators in the implementation of the 2013 curriculum is classified as very high, with an average value of around 95 and an achievement score of 72%. The accuracy of the implementation of learning in the implementation of the 2013 curriculum is classified as a very high category with an average of 153 and an achievement score of 79%. Of the 100 teachers or educators, 64 of them suggested that PBM was feasible to be implemented in all subjects in the implementation of the 2013 curriculum and b). PBM has been proven to add value to students' skills in terms of competencies, attitudes, and general and specific knowledge.
Prototype Mesin Pembuat Minuman Kopi Otomatis Terintegrasi Android Masril, Mardhiah; Nasution, Ayu Lestiani; Zain, Ruri Hartika; Awal, Hasri; Hendrik, Billy
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 1 (2025): Juni 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i1.637

Abstract

Coffee is one of the popular drinks. The Indonesian people drink coffee is a tradition to celebrate togetherness values and strengthen ties of brotherhood between communities. Along with high mobility society, everything is demanded to be instant and efficient. Coffee drinkers can come from various professions, ages and social background. The automatic coffee maker designed to address people's needs for coffee with an efficient serving process. Input on this design are coffee, milk and sugar where these ingredients can be processed into several types drinks that can be chosen are based on coffee. Design and construction of a microcontroller and android based coffee making equipment devices used to support the system these include the Arduino Mega 2560 as a microcontroller, servo and DC motor as an actuator, DS18B20 sensor as a water temperature reader, solenoid valve to drain the flow, and LCD for displays the coffee selection menu. The payment medium used in this coffee drink making tool is QR-code as practical, easy and responsive transaction. This tool could be an alternative that can be implemented by coffee drinkers or enthusiasts can enjoy coffee at the bus stop instantly just by using their personal Android.
SOSIALISASI PEMANFAATAN DATA ANALYTICS DENGAN TEKNOLOGI BIG DATA DAN MACHINE LEARNING UNTUK MENINGKATKAN EFISIENSI DAN AKURASI PENYALURAN BANTUAN SOSIAL MASYARAKAT DI KOTO PARAK Hendrik, Billy; Masril, Mardhiah; Awal, Hasri; Firdaus, Firdaus
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.33352

Abstract

Penelitian ini bertujuan untuk memanfaatkan teknologi Big Data dan Machine Learning dalam mengoptimalkan penyelenggaraan bantuan sosial di masyarakat. Bantuan sosial menjadi penting dalam mendukung kehidupan sosial ekonomi masyarakat, namun sering kali menghadapi tantangan efisiensi dan akurasi dalam penyaluran. Teknologi Big Data memungkinkan pengumpulan dan analisis data besar secara cepat, sementara Machine Learning dapat digunakan untuk memprediksi pola penyaluran yang lebih efisien. Metode yang digunakan meliputi studi literatur, pengumpulan data, analisis data, pengembangan model Machine Learning, evaluasi, dan validasi. Diharapkan penelitian ini dapat menghasilkan sistem yang lebih efisien dalam penyaluran bantuan sosial, meningkatkan kepuasan penerima manfaat, dan menjadi rujukan untuk pengembangan kebijakan publik terkait manajemen sosial.
Implementasi Media Pembelajaran Berbasis Teknologi Informasi Dan Komunikasi Mardhiah Masril; Billy Hendrik; Harry Theozard Fikri; Firdaus Firdaus; Hasri Awal
Edumaspul: Jurnal Pendidikan Vol 5 No 2 (2021): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v5i2.2974

Abstract

Diperlukan media pembelajaran yang lebih efisien dan efektif untuk memotivasi dan membangkitkan semangat belajar peserta didik di kelas untuk menyampaikan materi. Salah satunya melalui pembelajaran berbasis ICT. Penelitian ini bertujuan untuk membahas penerapan media pembelajaran berbasis TIK di kelas. Penelitian ini merupakan penelitian kepustakaan. Penelitian ini bersifat deskriptif, dimulai dengan analisis dekomposisi yang khas dan diakhiri dengan gagasan menawarkan pemahaman dan penjelasan untuk deskripsi hasil. Kesimpulan dari penelitian ini adalah: 1) proses pembelajaran dapat menjadi lebih menarik ketika menggunakan media pembelajaran berbasis TIK, memotivasi peserta didik untuk mencintai ilmunya; 2) Seorang guru dapat lebih efektif dan efisien dalam menyajikan materi pelajaran sehingga peserta didik mendapatkan manfaat dari media yang sangat baik dan akurat; 3) roses pembelajaran dengan menggunakan media dapat dibuat lebih efektif dan efisien.
Inovasi Helm Infanteri Terintegrasi Battlefield Management System Untuk Monitoring Area Pertempuran Secara Real-Time Masril, Mardhiah; Ghaly Risyadi; Ruri Hartika Zain; Firdaus
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 2 (2025): Desember 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i2.770

Abstract

This study aims to design and develop an Army infantry helmet system integrated with a Battlefield Management System (BMS) to support real-time monitoring of soldier conditions and combat strategies. The system integrates various sensors, including heart rate monitoring, hazardous gas detection (MQ-135), gyroscopic orientation (MPU6050), digital compass (HMC5883L), and GPS positioning (NEO-6M), managed by Arduino and NodeMCU microcontrollers. Sensor data is transmitted using LoRa communication modules and forwarded via the MQTT protocol to a monitoring system built with Grafana for real-time interactive dashboard visualization. The system is designed to provide periodic data on soldiers’ physical conditions and surrounding environments, aiming to enhance the speed and accuracy of strategic decisions on the battlefield. The prototype was tested in a simulated environment with a focus on sensor accuracy, transmission stability, and visualization reliability, showing promising results as an initial step toward IoT-based military monitoring and protection systems.