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All Journal Jurnal Pendidikan dan Kewirausahaan Jurnal Informatika: Jurnal Pengembangan IT
ansori ansori
STKIP PGRI Situbondo
Computer Science & IT Education Social Sciences

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PENERAPAN PEMBELAJARAN ACTIVE LEARNING DENGAN METODE INQUIRY UNTUK MENINGKATKAN AKTIFITAS DAN HASIL BELAJAR SISWA PADA MATA PELAJARAN IPS TERPADU KOMPETENSI DASAR MENDESKRIPSIKAN HUBUNGAN ANTARA KELANGKAAN SUMBER DAYA DENGAN KEBUTUHAN MANUSIA YANG TIDAK T Ahmad Hafas Rasyidi; ansori ansori
JURNAL PENDIDIKAN DAN KEWIRAUSAHAAN Vol 6 No 1 (2018)
Publisher : STKIP PGRI SITUBONDO

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Abstract

Ability of professional learn of vital importance in order to improving the quality of education. Activity of repair in course of learning to teach [is] a[n form [gift/ giving] of aid which [is] program systematically and directional as according to study problem. [Gift/ giving] of the aid can in the form of a method.Used [by] Study method [is] teacher most still monoton and study of teacher centre on, one of [the] study method to increase result and aktifitas learn student and lessen depended student to teacher [is] study of inquiry which where student claimed to look for its own knowledge guided by teacher.This research aim to to know do with method of inquiry can improve result and activity learn student. Of a kind this research [is] research of [done/conducted] class action [in] MTs. Al-Hidayah Semambung, Jatibanteng - Situbondo. This Research [is] [done/conducted] by teacher acting as subject teacher of IPS Inwrought.This research [is] focussed to class of VIII semester 1 school year 2013 / 2014 amounting to 30 responder. its Method data collecting [is] method of Tes, Observation and Documentation. In this research to know result learn student hence [is] to be performed [a] [by] daily restating [at] cycle 1 and cycle 2. This daily restating [done/conducted] to measure [is] reached of study target. [done/conducted] analysis to result and activity learn student [at] this research, indicating that this research have fulfilled complete either through result and also activity learn. Student Aktifitas show livelines equal to 89% and is complete [of] classical result of learning student show 96,7%.
Sistem Monitoring KSistem Monitoring Keamanan Kamar Mandi Pintar Menggunakan ESP32 dan Sensor PIR Berbasis Internet of Things (IoT)eamanan Kamar Mandi Pintar menggunakan ESP32 dan Sensor PIR Berbasis Internet of Things (IoT) Ansori Ansori; Nur Azizah; Firman Jaya
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10050

Abstract

This research addresses the problem of undetected falls and hazardous incidents in household bathrooms, especially for children and elderly users who are vulnerable to slipping on wet and narrow surfaces. The study aims to design and implement a smart bathroom security monitoring system using an ESP32 microcontroller, PIR sensor, magnetic sensor, load cell with HX711, and MPU6050 that is connected to the Internet of Things to provide real-time notifications to caregivers via mobile applications. The methodology follows a prototype-based IoT engineering approach, starting from literature review and requirement analysis, followed by hardware–software design, prototyping, iterative testing, and final evaluation in a simulated bathroom environment for various fall scenarios. Experimental data consist of PIR logs, weight changes, system response times, and environmental conditions, which are analyzed statistically to determine accuracy, reliability, and responsiveness of the system. The results show that the prototype is able to detect suspicious motion and fall patterns with good accuracy and trigger local alarms and Telegram notifications within approximately 2–3 seconds, while remaining operable in humid bathroom conditions. It can be concluded that the proposed system meets the research objectives as a low-cost, privacy-preserving bathroom safety solution for smart homes, with future work directed toward integrating machine learning-based fall detection and expanding communication options beyond WiFi to enhance robustness in diverse residential environments
Co-Authors Firman Jaya Nur Azizah