Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 3811–3820 dari 11363 artikel
ANALISIS PENGARUH KARAKTERISTIK INDIVIDU, MOTIVASI, LINGKUNGAN DAN PERILAKU PETANI MUDA TERHADAP STRATEGI PENYULUHAN PERTANIAN ORGANIK DI KOTA BATU
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
Penelitian ini bertujuan untuk mengetahui pengaruh karaktetistik individu, motivasi, lingkungan dan perilaku petani muda terhadap strategi penyuluhan pertanian organik di Kota Malang. Penelitian berlokasi di Desa Sumberejo Kecamatan Batu pada petani organik brokoli. Penelitian ini menggunakan teknik purposive sampling untuk menentukan sampel dengan jumlah 60 responden. Teknik analisis data menggunakan SEM WarpPLS (Partial Least Square) dengan software WarpPLS 5.0. Hasil menunjukkan bahwa: (1) Ka...
Sumber Asli
Google Scholar
DOI
Pengaruh Digital Marketing Terhadap Agresivitas Kinerja Pemasaran Umkm Olahan Pangan Di Kota Gorontalo
Mediagro: journal of agricultural sciences
Vol 20
, No 2
(2024)
Penelitian ini bertujuan untuk: 1) Mengetahui persentase penggunaan media digital yang digunakan oleh pelaku UMKM olahan pangan di Kota Gorontalo, 2) Menganalisis pengaruh Digital Marketing terhadap Agresivitas Kinerja Pemasaran pada UMKM olahan pangan di Kota Gorontalo. Metode penelitian stastistik kuantitatif dengan sampel pelaku usaha UMKM di Kota Gorontalo dengan jumlah sampel sebanyak 23 responden menggunakan Teknik Purposive Sampling dengan kriteria penelitian. Teknik analisis data menggun...
Sumber Asli
Google Scholar
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis
Advance Sustainable Science, Engineering and Technology (ASSET)
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...
Google Scholar
DOI
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 (ASSET)
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...
Google Scholar
DOI
6 Sitasi
Implementation of DenseNet121 Architecture for Waste Type Classification
Advance Sustainable Science, Engineering and Technology (ASSET)
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...
Google Scholar
DOI
6 Sitasi
Classification of Movie Recommendation on Netflix Using Random Forest Algorithm
Advance Sustainable Science, Engineering and Technology (ASSET)
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...
Google Scholar
DOI
4 Sitasi
Synthesis and Characterization Materials Modern (CMC-Fe3O4-Chitosan-TiO2) As Portable Adsorbent Toxic Metal (Hg) and Dye Substance (Rh B)
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 3
(2024)
The synthesis of the portable adsorbent material CMC-Fe3O4-Chitosan-TiO2 begins by inserting the CMC-Chitosan mixture into the leaching solution. Next, concentrated NaOH and 3% CaCl2 were added, then decanted and dried at room temperature. After that, the composite was coated with TiO2 and then dried in an oven at a temperature below 100 oC. The success of the synthesis was indicated by the presence of specific absorption in FT-IR. 3429 cm-1 hydroxyl group, 2926 cm-1 for the CH/CH3 group, 1631 c...
Google Scholar
DOI
2 Sitasi