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All Journal Agrisocionomics: Jurnal Sosial Ekonomi Pertanian JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) Techno Agriculturae Studium of Research
PUTERI APRILANI
Jurusan/Program Studi Agribisnis, Fakultas Pertanian, Universitas Mulawarman.
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Environmental Science Social Sciences

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ANALISIS PERBANDINGAN EFISIENSI TENAGA KERJA SEMI MEKANIS DAN MANUAL PADA SESI POTONG BUAH (Studi kasus di Puhus 2 Estate PT Dharma Agrotama Nusantara di Desa Muara Wahau) (The Comparison Analysis of Efficiency of Semi Mechanical and Manual Labors on Fruit Cutting Session (Case study at Puhus 2 Estate PT. Dharma Agrotama Nusantara in Muara Wahau Village)) PUTERI APRILANI; TETTY WIJAYANTI
JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) JAKP, Volume 1, Nomor 1, April 2018
Publisher : Universitas Mulawarman (University of Mulawarman)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35941/jakp.1.1.2018.1702.39-46

Abstract

The purposes of this research were to know the difference between semi mechanical and manual on harvesting of palm oil and to know the efficiency of semi mechanical and manual labor on fruit cutting session of Fresh Fruit Bunches (TBS) of palm oil in Puhus 2 Estate of PT. Dharma Agrotama Nusantara (DAN) in the Village of Muara Wahau. This research was held for three months, start from March to May 2017 in Puhus 2 Estate PT. DAN in  Muara Wahau Village, Muara Wahau Subdistrict, East Kutai District. The result showed that the difference of utilization of semi mechanical and manual labor is not just on the use of machine or tools but there is also difference on the basic of the harvesters and cost. In semi mechanical labor, the average cost in four months was IDR89,057 ton-1 and 2,628.41 ton of production, while the cost of manual labor was IDR108,367 ton-1 with 1,677.03 ton of production. The production factor utilization of semi mechanical labor is more efficien compare to utilization of manual labor in the fruit cutting session of PT. DAN in Muara Wahau Village, Muara Wahau District, East Kutai District.
MARKETING STRATEGY FOR DELTA KAYAN FOOD ESTATE DEVELOPMENT IN BULUNGAN DISTRICT, NORTH KALIMANTAN PROVINCE Puteri Aprilani; Masyhuri Masyhuri; Suhatmini Hardyastuti
Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Vol 7, No 1 (2023): March 2023
Publisher : Faculty of Animal and Agricultural Science, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/agrisocionomics.v7i1.15363

Abstract

Bulungan Regency, which is located in North Kalimantan, is one of the areas chosen by the government to be an area for the use of tidal swampland for rice cultivation because the area of swampland owned is quite as large as 50 hectares of the area named Delta Kayan Food Estate. However, in its implementation, farmers have obstacles to market the rice harvest they produce. This research was conducted to create a strategy for the development of tidal swamp rice produced by Delta Kayan Food Estate. The survey was conducted on 30 purposively selected respondents. The data were collected through interviews with structured questionnaires using the SWOT analysis method and looked at the priority strategies to be carried out using the QSPM analysis. From the results of the SWOT analysis.
Applications of Artificial Intelligence in Weather Prediction and Agricultural Risk Management in India Fawait, Aldi Bastiatul; Aprilani, Puteri; Sugiarto, Sugiarto; Sok, Vann
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1591

Abstract

Agriculture in India is particularly vulnerable to climate change and extreme weather conditions, which can negatively impact productivity and food security. This research was conducted against the background of the importance of developing technology to help farmers in dealing with weather uncertainty and managing agricultural risks. The purpose of this study is to explore the application of artificial intelligence (AI) in accurately predicting weather as well as managing the risks associated with extreme weather in India's agricultural sector. This study uses a descriptive method with a quantitative and qualitative approach, where data is collected through interviews with agricultural experts, analysis of historical weather data, and AI modeling. The results show that the AI application is able to predict weather patterns with an accuracy rate of up to 90%, which helps farmers make more informed decisions regarding planting timing, irrigation, and pesticide use. In addition, AI-based risk management systems allow for early detection of extreme weather, thereby reducing crop losses. The conclusion of the study is that artificial intelligence applications have great potential to improve food security and agricultural productivity in India by helping farmers anticipate weather changes and manage risks more efficiently. However, the adoption of this technology requires adequate training and infrastructure to ensure its optimal use in the field.
Co-Authors Aldi Bastiatul Fawait Fawait Mahdalena Masyhuri Masyhuri Mita Purnama Patricia, Santiya Sok, Vann Sugiarto Sugiarto S Suhatmini Hardyastuti Tetty Wijayanti Tutik Nugrahini wati, asiah