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All Journal Jurnal Bahana Manajemen Pendidikan Journal of Applied Electrical Engineering Journal of English Language and Education ARTCHIVE: Indonesia Journal of Visual Art and Design
Ririn Humaera
Jurusan Teknik Elektro, Prodi Teknik Rekayasa Elektronika, Politeknik Negeri Batam, Batam, Indonesia
Arts Humanities Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Kinerja Guru dalam Pembelajaran Daring Disekolah Dasar Pada Masa Covid-19 Ririn Humaera; Rusdinal Rusdinal
Jurnal Bahana Manajemen Pendidikan Vol 10, No 1 (2021): Volume 10 Nomor 1 Tahun 2021
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jbmp.v10i1.110834

Abstract

Sejak ditemukannya kasus positif COVID-19 di Indonesia dan pencanangan COVID-19 sebagai pandemi oleh Organisasi Kesehatan Dunia, pemerintah Indonesia telah mengambil langkah-langkah untuk mengurangi risiko penyebaran virus dengan menerapkan pembatasan jarak fisik. Sesuai dengan imbauan Mendikbud, proses pembelajaran harus dilanjutkan melalui pembelajaran online dengan memanfaatkan teknologi. Penelitian ini bertujuan untuk mendeskripsikan kinerja guru dalam melaksanakan pembelajaran online, kendala yang dihadapi dan solusi yang diambil untuk mengatasinya. Peneliti ini adalah penelitian kualitatif dengan metode deskriptif. Subjek penelitian ini adalah seluruh guru SDN 06 Balai-Balai. Pengumpulan data dilakukan melalui wawancara, observasi dan dokumentasi. Dari hasil penelitian dapat disimpulkan bahwa kinerja guru baik, namun masih terdapat kendala, baik dari sisi guru maupun siswanya. Untuk mengatasi hambatan dalam pembelajaran online, guru memberikan bimbingan dalam kelompok kecil siswa di dalam kelas.
THE POWER OF HERITAGE: INNOVATION OF KERANCANG EMBROIDERY IN KEBAYA FOR THE GLOBAL MARKET Yanuarmi, Dini; Sudiani, Yoni; Oktayanty, Yetty; Humaera, Ririn
ARTCHIVE: Indonesian Journal of Visual Arts and Design Vol 5, No 2 (2024): ARTCHIVE: Indonesia Journal of Visual Art and Design
Publisher : Institut Seni Indonesia Padang Panjang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53666/artchive.v5i2.4846

Abstract

Di era globalisasi, tantangan bagi industri fashion Indonesia adalah bagaimana menggabungkan kekayaan warisan budaya dengan tren kontemporer yang berkembang pesat di pasar global. Transformasi inovatif diperlukan untuk memastikan bahwa kerajinan tradisional seperti bordir kerancang tetap relevan dan menarik bagi konsumen modern di seluruh dunia. Dalam konteks ini, penelitian bertujuan untuk mengeksplorasi potensi inovasi dalam pengembangan kebaya dengan memanfaatkan seni bordir kerancang. Memadukan teknik tradisional bordir kerancang dengan desain yang sesuai dengan selera global, sehingga dapat tercipta produk fashion kebaya yang memikat hati pasar global dengan tetap mempertahankan nilai-nilai dan keindahan warisan budaya Minangkabau. Penelitian ini tidak hanya akan memberikan kontribusi pada pengembangan produk fashion lokal oleh UMKM, tetapi juga dapat membuka peluang baru bagi ekspor produk fashion Minangkabau ke pasar internasional, sehingga meningkatkan citra dan daya saing industri fashion nasional secara keseluruhan.
Identification Food Nutrition and Weight Prediction using Image Processing Sani, Abdullah; Silitonga, Ricky; Mishthafiyatillah, Mishthafiyatillah; Lalu Kaisar Wisnu Kita; Ika Karlina Laila Nur Suciningtyas; Ririn Humaera; Budiana , Budiana
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9492

Abstract

Obesity is a global issue with rising prevalence each year, driven partly by excess nutrient and calorie intake. Identifying nutrient content in food is vital to prevent obesity. This research employs image processing, specifically the YOLO (You Only Look Once) algorithm, to classify and identify fruits and vegetables quickly and accurately. YOLO is advantageous for its speed and ability to classify multiple objects simultaneously. The goal is to develop a system that recognizes, classifies, and predicts the weight of fruits and vegetables, providing nutritional and calorie information. Tests showed that the system accurately detects produce under various lighting conditions—achieving 100% accuracy with additional ring light (600–650 lux) and 99.2% without extra lighting. Beyond object detection, the system predicts weight with an average error of 5.6% when illuminated. This technology has the potential to aid users in monitoring nutritional intake by providing reliable identification and calorie data, contributing to obesity prevention efforts.
Academic Stress Levels of Students in Project-Based Learning Humaera, Ririn; Saputra, Nefri Anra; Masta, Putri Khairina
Journal of English Language and Education Vol 10, No 6 (2025)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v10i6.1781

Abstract

This study aims to analyze the level of academic stress among new students in the Electronic Engineering Technology Study Program at Batam State Polytechnic in the project-based learning (PBL) process. Academic stress often arises due to complex learning demands and significant changes in the learning environment for new students. The research method used was a quantitative descriptive design, involving 37 first-year student respondents. Data were collected through a questionnaire covering 10 aspects of academic stress. The results showed that most students (78.4%) experienced moderate stress, while the rest (21.6%) experienced low stress. The main factors causing stress included social anxiety (78.4%), time constraints (75.7%), and high task loads (70.3%). Meanwhile, dependence on teamwork (24.3%) and an unsupportive learning environment (29.7%) were the factors that caused the lowest levels of stress. These findings indicate that implementing PBL should be balanced with emotional support, effective time management, and faculty guidance to help new students adapt well.
Formalin Detection System in Fish with HCHO Sensor and pH Sensor Using Fuzzy Logic Method Rainhart Sitohang; Illa Aryeni; Hana Mutialif Maulidiah; Ririn Humaera; Handri Toar; Jum Malindo Siregar
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11618

Abstract

This study aims to design a system for detecting formalin and pH levels in fish using the Mamdani Fuzzy Logic method. The system consists of an HCHO sensor and a pH sensor as the system input, and an Arduino Mega 2560 microcontroller as a data processor. The data is processed in real-time and classified into three categories. Testing was carried out on snapper samples with a duration of 1–60 minutes and 10 repeats of the experiment. The results of the study showed that the accuracy rate of the system was 91%. The system can identify formalin levels and classify them into safe (0 ppm formalin, pH 6,5), alert (12,42 ppm, pH 6,64), and danger (19,29 ppm, pH 5,42). The implementation of this system can facilitate the direct detection of formalin in fish and can help increase public awareness of the dangers of formalin.
Co-Authors Abdullah Sani Budiana, Budiana Dini Yanuarmi Hana Mutialif Maulidiah Handri Toar Ika Karlina Laila Nur Suciningtyas Illa Aryeni Jum Malindo Siregar Lalu Kaisar Wisnu Kita Masta, Putri Khairina Mishthafiyatillah, Mishthafiyatillah Rainhart Sitohang Rusdinal Rusdinal Saputra, Nefri Anra Silitonga, Ricky sudiani, yoni Yetty Oktayanty