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Menampilkan 4411–4420 dari 14256 artikel
ANALISIS NPV NET B/C PADA USAHA TANI BAWANG MERAH (Allium ascalonicum L.) DI DESA PENGKOL KECAMATAN PENAWANGAN KABUPATEN GROBOGAN
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
AbstrakHortikultura sebagai salah satu subsektor pertanian yang menempati urutan kedua setelah tanaman pangan dalam struktur pembentukan produk domestic bruto (PDB) sektor pertanian. Salah satu subsektor hortikultura unggulan yang menjadi komoditas unggulan di Indonesia adalah bawang merah. Tujuan dari penelitian ini adalah untuk menganalisis nilai NPV, Net B/CÂ usahatani bawang merah di Desa Pengkol Kecamatan Penawangan Kabupaten Grobogan. Metode penelitian yang digunakan dalam penelitian ini y...
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ANALISIS PREFERENSI KONSUMEN TERHADAP PEMBELIAN MINUMAN KOPI DI STARBUCKS SUNCITY MALL SIDOARJO
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
The current competition of the coffee industry makes product attributes and preferences a very important part to be noticed by entrepreneurs as it can be easier to provide what is consumer needs. The study aims to identify consumer characteristics, analyze attributes and levels of interest that are consumer preferences in the purchase of coffee drinks at Starbucks Suncity Mall Sidoarjo. The methods chosen for sampling were accidental samplings, with a total of 100 respondents. In this study, des...
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THE EFFECT OF RICE WASHING WATER AND COCONUT WATER ON THE GROWTH OF TOMATO PLANT (Lycopersium esculentum Mill.) IN MANGGARAI REGENCY
Choirunnisa, Jessyca Putri
; Putri, Maria Marselina Ade
; Lau, Margareta Skolandia Lau Skolandia
; Unggut, Yuliana Yurianti Sartika
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
Tomato are vegetable commodity with high economic value and widely consumed by Indonesian people. The increase in tomato consumption is not matched by an increase in production. Tomato production in Manggarai Regency has decreased due to excessive use of inorganic fertilizers. Providing organic materials with rice washing water and coconut water can reduce the use of inorganic fertilizers. This study aims to determine the effect of rice washing water and coconut water on tomato growth, and deter...
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ANALISIS TRANSMISI HARGA KENTANG DI KABUPATEN SIMALUNGUN
Budiman, Indra
; Ginting, Nelva Meyriani Br
; Sinaga, Reflianta Br
; Lubis, Anita Rizky
; Sinaga, Anggiat
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
Kentang memiliki potensi untuk memenuhi kebutuhan pangan masyarakat Indonesia. Salah satu kabupaten di Sumatera Utara dengan produksi kentang terbesar kedua adalah Simalungun, sehingga pengembangan harga kentang perlu diawasi dengan baik. Masalah yang dihadapi pada kentang adalah fluktuasi harga, tingginya marjin pemasaran dan transmisi harga disebabkan oleh kekuatan pasar yang dimiliki oleh pedagang pengumpul desa atau pedagang perantara. Tujuan penelitian ini adalah menganalisis transmisi harg...
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Pengaruh Pemberian Pupuk Organik dan Konsentrasi Pupuk Daun Terhadap Pertumbuhan dan Hasil Tanaman Selada Merah (Lactuca sativa L.)
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
This research aimed to determine the effect of applying organic fertilizer and foliar fertilizer concentration on the growth and yield of red lettuce plants (Lactuca sativa L.). This research used a factorial randomized block design with 2 treatment factors using 2 levels and 4 levels in 3 replications. The first factor was organic fertilizer (coffee grounds and cow biourine) and the second factor was foliar fertilizer (Gandasil D). The result of the research showed that the application of organ...
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Learning through Simulation: A Role-Based Learning Exercise to Equip Students in Big Data Requirement Elicitation Skills and Challenges
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Bridging the gap between theoretical knowledge and practical application remains challenging in big data education. Our paper proposes a platform where students actively participate in a role-based learning (RBL) exercise designed to simulate real-world big data projects. This RBL exercise assigns each student participant to a business analyst role tasked with eliciting requirements or a customer role that provides those big data requirements. We conducted RBL sessions for postgraduate and under...
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Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
Corrosion is an issue that has a significant impact on the oil and gas industry, resulting in significant losses. This is worth investigating because corrosion contributes to a large part of the total annual costs of oil and gas production companies worldwide, and can cause serious problems for the environment that will impact society. The use of inhibitors is one way to prevent corrosion that is quite effective. This study is an experimental study that aims to implement machine learning (ML) on...
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2 Sitasi
Improving the Accuracy of House Price Prediction using Catboost Regression with Random Search Hyperparameter Tuning: A Comparative Analysis
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
Achieving a significant improvement over traditional models, this study presents a novel approach to house price prediction through the integration of Catboost Regression and Random Search Hyperparameter Tuning. By applying these advanced machine learning techniques to the King County Dataset, we conducted a thorough regression analysis and predictive modeling that resulted in a marked increase in accuracy. The baseline model, a conventional linear regression, provided a foundation for compariso...
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6 Sitasi
Implementation of DenseNet121 Architecture for Waste Type Classification
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
The growing waste management problem in many parts of the world requires innovative solutions to ensure efficiency in sorting and recycling. One of the main challenges is accurate waste classification, which is often hampered by the variability in visual characteristics between waste types. As a solution, this research develops an image-based litter classification model using Deep Learning DenseNet architecture. The model is designed to address the need for automated waste sorting by classifying...
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6 Sitasi
Classification of Movie Recommendation on Netflix Using Random Forest Algorithm
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 3
(2024)
Netflix is one of the most popular streaming platforms in this world. So many movies and shows with various genres and production countries are available on this platform. Netflix has their own recommendation systems for the subscribers according to their data and algorithm. This research aims to compare two methods of data classifications using Decision Tree and Random Forest algorithm and make a recommendation system based on Netflix dataset. This paper use feature importance to selecting rele...
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4 Sitasi