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All Journal Jurnal Industri dan Inovasi (INVASI) PESARE: Jurnal Pengabdian dan Rekayasa
Dhea Nur Fadhilah
Universitas Syiah Kuala
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation

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Implementasi Urban Farming Berbasis Energi Terbarukan Menggunakan Sistem Hidroponik di BUMG Pelita Jaya Gampong Barabung Riski Arifin; T. Arriessa Sukhairi; Arief Gunawan; Syaubari; Rika Sri Utami; Nur Irhamni Sabrina; Okpri Meila; Dhea Nur Fadhilah
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol. 4 No. 2: Juni 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v4i2.2037

Abstract

Gampong Barabung, Aceh Besar Regency, has considerable agricultural potential, but the application of modern agricultural technology is still relatively limited. This activity aims to design, build, and implement a solar-based hydroponic system as an alternative to sustainable plant cultivation at the village level. The implementation method includes location surveys, hydroponic installations, solar system installations, and assistance and system evaluation. The results of the activity show that an NFT hydroponic system with a capacity of 120 planting holes has been successfully built which is directly integrated with a solar panel with a capacity of 150 Wp as an energy source for a nutrient circulation pump. The system built can operate well and be used for vegetable cultivation. The results of the implementation show that the integration of hydroponic technology and solar energy can be applied well and has the potential to support more efficient and environmentally friendly agricultural practices at the village level.
Analisis Peramalan Permintaan Omeprazole Injeksi di Rumah Sakit XYZ Nur Irhamni Sabrina; Okpri Meila; Dhea Nur Fadhilah; Syaubari Syaubari
Jurnal Industri dan Inovasi (INVASI) Vol 3, No 1 (2025): Vol 3, No 1 (September 2025)
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/invasi.v3i1.14613

Abstract

Inaccurate drug inventory planning can lead to stock shortages or excess inventory, which negatively affects the efficiency of hospital services. One drug with highly fluctuating demand is Omeprazole injection 40 mg at XYZ Hospital. This study aims to forecast the demand for Omeprazole injection 40 mg using time series forecasting methods, namely Single Moving Average, 2-month Moving Average, and 3-month Moving Average. This research employed a descriptive quantitative approach using historical demand data from January to September as the basis for forecasting demand for the period of October to December. Forecast accuracy was evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the Single Moving Average method produced the lowest MAD value of 91.33 and MSE value of 9,948.67, making it the most effective method in minimizing absolute and squared forecasting errors. The 2-month Moving Average method resulted in the lowest MAPE value of 57.91% but showed the highest MAD and MSE values, while the 3-month Moving Average method demonstrated more moderate and stable performance with error values between the other two methods. The high MAPE values across all methods indicate substantial demand variability; therefore, MAD and MSE are considered more relevant indicators for selecting the appropriate forecasting method. The findings of this study are expected to support more effective and efficient decision-making in planning the procurement of Omeprazole injection 40 mg at XYZ Hospital.
Co-Authors Arief Gunawan Nur Irhamni Sabrina Okpri Meila Okpri Meila Rika Sri Utami Riski Arifin Syaubari Syaubari Syaubari T. Arriessa Sukhairi