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Sistem Pendeteksi Nutrisi Air Otomatis (AWNDES) Untuk Hidroponik Rifqi, Muhammad Naufal; Munadi, Rendy; Santoso, Iman Hedi
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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

Abstract

Pertanian di Indonesia masih didominasi olehmetode konvensional yang memerlukan pengawasan manual,terutama di daerah perkotaan di mana lahan semakinberkurang. Sistem hidroponik menjadi solusi efektif untukpertanian di lahan sempit, namun sering kali membutuhkanpengamatan manual yang tidak konsisten dan memakan waktu.Untuk mengatasi masalah ini, kami mengembangkan “SistemPendeteksi Nutrisi Air Otomatis (AWNDES) untukHidroponik”. Sistem ini memantau kondisi nutrisi danlingkungan tanaman secara real-time menggunakan sensor danteknologi Internet of Things (IoT). Sensor-sensor ini terintegrasidalam platform untuk pemantauan dan pengendalian jarakjauh melalui aplikasi mobile. Hasil pengujian menunjukkanbahwa AWNDES mampu memberikan data tepat mengenaikondisi nutrisi dan lingkungan tanaman, meningkatkanefisiensi pengelolaan tanaman hidroponik serta meningkatkanhasil panen dan kualitas tanaman. Kesimpulannya, AWNDESmemiliki potensi besar untuk mendukung pertanian modern diIndonesia dan mengatasi tantangan dalam budidayahidroponik. Kata kunci: hidroponik, nutrisi air otomatis, Internet ofThings (IoT), pertanian modern.
Pengaruh Motivasi Kerja dan Keterikatan Kerja terhadap Kinerja Karyawan Outsourcing PT Al Quratu Rizky Pratama Rifqi, Muhammad Naufal; Hadjri, Muhammad Ichsan; Zunaidah
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 3 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i3.778

Abstract

This study aims to determine the effect of work motivation and work engagement on the performance of PT Al Quratu Rizky Pratama's outsourced employees. The research method used is a quantitative method. The data used in this research are primary data and secondary data. The sampling technique used the total sampling technique. The samples studied in this study were 80 respondents who were outsourced employees of PT Al Quratu Rizky Pratama. Based on the statistical t test conducted, it can be concluded that the motivation variable partially has a significant effect on employee performance as indicated by a significance value of 0.000 <alpha 0.05. Based on the statistical t test conducted, it can be concluded that the work engagement variable has a positive and significant effect on employee performance as indicated by a significance value of 0.002 <alpha 0.005. Based on the simultaneous f test obtained a significance value of 0.000 <alpha 0.005, it can be concluded that motivation and work engagement as a whole have a significant effect on employee performance. The magnitude of the influence of the independent variable on the dependent variable is 83.7%, the remaining 16.3% is influenced by other variables not included in the research model. Keywords: Motivation, Engagement, Performance
Penerapan Metode Support Vector Machine Dalam Memprediksi Prediksi Cuaca Rifqi, Muhammad Naufal; Aldisa, Rima Tamara
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4961

Abstract

Weather is a natural that has a big impact on humans. Information about weather predictions is really needed by humans, especially in the city of Medan. This information is very useful for knowing weather events around us. Data mining is a process of collecting important information from large data, so that it can help make decisions and make accurate predictions. So researchers are interested in conducting research in predicting the weather in the city of Medan using the Support Vector Machine (SVM) method as a solution for predicting the weather in the city of Medan. The application of data mining using the SVM method helps produce precise accuracy for weather based on predetermined criteria. This method is suitable for weather predictions because it is able to provide clear and accurate assessments with weather predictions of 54.55%.
Pengaruh Motivasi Kerja dan Keterikatan Kerja terhadap Kinerja Karyawan Outsourcing PT Al Quratu Rizky Pratama Rifqi, Muhammad Naufal; Hadjri, Muhammad Ichsan; Zunaidah
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 3 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i3.778

Abstract

This study aims to determine the effect of work motivation and work engagement on the performance of PT Al Quratu Rizky Pratama's outsourced employees. The research method used is a quantitative method. The data used in this research are primary data and secondary data. The sampling technique used the total sampling technique. The samples studied in this study were 80 respondents who were outsourced employees of PT Al Quratu Rizky Pratama. Based on the statistical t test conducted, it can be concluded that the motivation variable partially has a significant effect on employee performance as indicated by a significance value of 0.000 <alpha 0.05. Based on the statistical t test conducted, it can be concluded that the work engagement variable has a positive and significant effect on employee performance as indicated by a significance value of 0.002 <alpha 0.005. Based on the simultaneous f test obtained a significance value of 0.000 <alpha 0.005, it can be concluded that motivation and work engagement as a whole have a significant effect on employee performance. The magnitude of the influence of the independent variable on the dependent variable is 83.7%, the remaining 16.3% is influenced by other variables not included in the research model. Keywords: Motivation, Engagement, Performance