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Peran Manusia di Bumi Sebagai Khalifah Dalam Perubahan Sosial Furqon Furqon
An Naba Vol. 4 No. 1 (2021): An Naba : Jurnal Pemikiran dan Penelitian Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Darul Fattah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.635 KB) | DOI: 10.51614/annaba.v4i1.66

Abstract

In this study will be further discussed how the role of man as a caliph on the face of the earth in social change. The formulation of problems in this study is; 1) what is the role of man as caliph on earth?; 2) What is the role of man on earth as a caliph in social change? The purpose of this study is; 1) to know the role of man as caliph on earth; 2) man as caliph in social change. This study uses qualitative descriptive research type with type of literature study research. Literature research is done through books, magazines, journals, the internet and so on. In addition, by conducting observational studies from previous studies. The results found are; 1) that social changes made by the hands of man himself are often involved with matters of destiny, such as social change in society is the economic condition of society. Our duty as caliphs or human beings on earth is to improve the standard of living of the people through social change using the medium of da'wah tools. 2) man is the caliph on the earth, the duty of the caliph in the Qur'an is commonly called imaratul ardh (prospering the earth) and worship allah (worship allah). God created man from this earth and assigned man to imarah on the earth by managing and maintaining it.
Manajemen Produktivitas Sumber Daya Manusia: Analisis Pengaruh Pelatihan, Kompensasi, Lingkungan Kerja, dan Motivasi terhadap Produktivitas Karyawan Furqon Furqon; Shabrina Aisyah; Sulaeman Sulaeman; Wahyudi Wahyudi
JURNAL MANAJEMEN DAN BISNIS EKONOMI Vol. 4 No. 3 (2026): Juli: JURNAL MANAJEMEN DAN BISNIS EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jmbe-itb.v4i3.4157

Abstract

Human Resource Management (HRM) plays a strategic role in enhancing organizational productivity through effective management of human capital. This study aims to analyze the influence of training and development, compensation, work environment, and work motivation on employee productivity. The research employed a quantitative approach using a survey method. The population consisted of employees at manufacturing companies in Banten Province, with a sample of 120 respondents selected through purposive sampling. Data were collected using a structured questionnaire and analyzed using multiple linear regression. The results showed that training and development (t = 4.071; sig. = 0.000), compensation (t = 3.397; sig. = 0.001), work environment (t = 3.384; sig. = 0.001), and work motivation (t = 3.046; sig. = 0.003) each had a significant positive effect on employee productivity. Simultaneously, the four independent variables explained 67.4% of the variance in productivity (R² = 0.674; F = 59.821; sig. = 0.000). These findings underscore the importance of integrated HRM practices in improving employee productivity and organizational competitiveness.
SnailBot, Robot Penyiang Gulma Berbasis Binocular Stereo Vision Dinta Hanasta; Furqon Furqon; azka Auliya Nolan; Himah Muhandisyah; Rido Tsania Noor
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 2 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.2.18114

Abstract

Penelitian ini mengembangkan SnailBot, prototipe robot penyiang gulma semi-otonom berbasis binocular stereo vision yang dirancang untuk meningkatkan efisiensi penyiangan di lahan sawah. Hingga tahap implementasi, progres pengembangan mencapai 93%, meliputi pembuatan bodi (100%), sistem navigasi (90%), sistem deteksi gulma (90%), penyusunan dataset (100%), dan uji performa awal (78%). Model deteksi gulma berbasis YOLOv5 yang dilatih menggunakan 766 citra (lapangan dan hasil augmentasi) memperoleh mean average precision (mAP) sebesar 0,739 dan mampu mendeteksi gulma pada jarak 20–40 cm melalui stereo depth estimation. Model ini kemudian dikonversi ke TensorFlow Lite INT8 dengan estimasi penurunan akurasi sekitar 2–3% untuk mendukung operasi real-time dengan efisiensi tinggi. Sistem navigasi berbasis Arduino Mega, GPS Neo-6M, dan sensor kompas menunjukkan deviasi posisi 3–5 meter serta mampu mengarahkan robot sejauh 5 meter secara semi-otomatis. Secara mekanik, motor DC 24V dan motor pemotong 775 DC memberikan torsi yang cukup untuk beroperasi di area berlumpur, sementara roda spiral berbahan PETG hasil cetak 3D menunjukkan traksi baik pada permukaan sawah. Hasil pengujian awal menunjukkan SnailBot memiliki potensi tinggi sebagai robot penyiang gulma semi-otonom dengan kemampuan deteksi, navigasi, dan pemotongan presisi. Dengan biaya perakitan di bawah Rp10 juta, SnailBot layak diterapkan oleh petani kecil dan menengah serta dapat dikembangkan menjadi sistem multi-fungsi untuk mendukung pertanian presisi berkelanjutan di Indonesia.