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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Bhinneka Multidisiplin Journal
Andriansyah, Muhammad Afifi
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Social Sciences

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RESPON PERTUMBUHAN TANAMAN BLACKBERRY (Rubus sp.) AKIBAT PEMBERIAN PUPUK KANDANG DI TWELVE’S ORGANIC Andriansyah, Muhammad Afifi; Wijayantiningsih, Sri; Wijayanti, Fitri
Bhinneka Multidisiplin Journal Vol. 1 No. 3 (2024): Bhinneka Multidisiplin Journal
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/bmj.v1i3.16

Abstract

Blackberries are the superior commodity cultivated organically in the Twelve's Gardens. This research aims to determine the growth response of Blackberry plants due to the application of manure (goat manure) in Eleven's organic garden. The method used compares two treatments on the same land with different beds. These results were obtained from four weeks of observations, with two treatments in four plots, that were different treatments, each treatment using the same two plots. Treatments for the first two plots are to apply manure evenly, and for the next two beds, there is no manure at all. That observation aims to determine the growth response of the Blackberry plant, due to the application of manure (goat manure) in the Twelve's Organic Garden. Apart from that, observations were done to see the comparisons of plant growth given manure and without manure through production results. Providing manure (goat) at a dose of 25kg/24 greatly influenced the growth response of blackberry plants in B1 and B2 with condition plant height, number of leaves, and number of new shoots. The treatment of providing goat manure on blackberry plants resulted in a greater growth in the number of leaves compared to the treatment without fertilization using goat manure
Designing Soil Color Sensors to Determine Soil Characteristics Based on Internet of Things (IoT) Andriansyah, Muhammad Afifi; Arifin, Moch; Maroeto, Maroeto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 14, No 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.83-91

Abstract

Soil color is the important due to its relation with other soil properties. It is usually analysis with the standard Munsell Soil Color Charts (MSCC). While other properties including organic matter need to be analyzed in the laboratory. The objective of this study is to develop IoT sensor for soil that is able to detect rapidly soil color and other properties including C-organic, pH, and cation exchange capacity (CEC). Soil color data from five soil type was analyzed using the MSCC and used as input data to the IoT (internet of things) sensor. In addition, soil properties obtained from lab tests was also included. The designed IoT sensor was used to detect soil color and soil properties of 7 soil types used as the testing samples. The sensor performance was evaluated by comparing soil properties predicted using IoT and lab analysis. Results showed the use of IoT soil sensor succeeded in determining soil characteristics including pH, CEC, and C-organic based on soil color. In addition, the soil color sensor had high accuracy to predict soil properties with a very small difference compared to the lab analysis, namely 0.01% difference for C-organic, and other properties of <5% difference. The development of IoT soil sensor will be important in the fields of agriculture and land management. Keywords: Acidity (pH), CEC, C-Organic, IoT, Soil Color.
Designing Soil Color Sensors to Determine Soil Characteristics Based on Internet of Things (IoT) Andriansyah, Muhammad Afifi; Arifin, Moch; Maroeto, Maroeto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.83-91

Abstract

Soil color is the important due to its relation with other soil properties. It is usually analysis with the standard Munsell Soil Color Charts (MSCC). While other properties including organic matter need to be analyzed in the laboratory. The objective of this study is to develop IoT sensor for soil that is able to detect rapidly soil color and other properties including C-organic, pH, and cation exchange capacity (CEC). Soil color data from five soil type was analyzed using the MSCC and used as input data to the IoT (internet of things) sensor. In addition, soil properties obtained from lab tests was also included. The designed IoT sensor was used to detect soil color and soil properties of 7 soil types used as the testing samples. The sensor performance was evaluated by comparing soil properties predicted using IoT and lab analysis. Results showed the use of IoT soil sensor succeeded in determining soil characteristics including pH, CEC, and C-organic based on soil color. In addition, the soil color sensor had high accuracy to predict soil properties with a very small difference compared to the lab analysis, namely 0.01% difference for C-organic, and other properties of <5% difference. The development of IoT soil sensor will be important in the fields of agriculture and land management. Keywords: Acidity (pH), CEC, C-Organic, IoT, Soil Color.
Co-Authors Arifin, Moch Fitri Wijayanti Maroeto Maroeto Wijayantiningsih, Sri