Efektivitas Deteksi Warna Tanah Secara Cepat dengan Software Berbasis Android
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Dec 24, 2023
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Abstract
Praktik-praktik pertanian intensif saat ini banyak berakibat pada menurunnya status kesuburan tanah. Salah satunya adalah banyak lahan pertanian mempunyai faktor pembatas kadar bahan organik tanah rendah hingga sangat rendah. Pengukuran kadar bahan organik tanah membutuhkan waktu yang lama, mahal, dan tidak tersedia di semua laboratorium sehingga banyak perkembangan ilmu pengetahuan belum terimplemetasikan di lapangan. Penelitian bertujuan untuk mengukur efektivitas penentuan warna tanah berbasis andorid terhadap warna tanah. Warna tanah didasarkan pada warna yang ada dalam Munsell Soil Color Chart. Penelitian dilakukan di Kota Bogor, Jember, dan Bondowoso serta di Laboratorium Kimia dan Kesuburan Universitas Jember. Penelitian dilakukan dengan metode survey lapang dan pengamatan warna tanah di laboratorium dengan sampel tanah kering angin dan lembab dengan jarak pemotretan dengan tanah 20 cm, 25 cm, dan 30 cm dengan alat bantu photo box. Fokus penelitian ini pada nilai value dan chroma. Penggunaan andorid untuk menentukan warna tanah mudah dan cepat namun berdasarkan evaluasi efektivitasnya masih kurang efektif yaitu nilai tertinggi pada faktor tunggal value tanah kondisi kering angin dan jarak pemotretan 20 cm sebesar 57,89% dan chroma tanah lembab jarak pemotretan 30 cm sebesar 52,63%. Oleh karena itu sebelum software ini digunakan secara luas perlu perbaikan untuk meningkatkan nilai efektivitasnya. Saran untuk meningkatkannya adalah sampling tanah yang akan diuji disiapkan dalam kotak dengan luasan sesuai dengan fokus pengambilan gambar dan ketebalan yang telah ditetapkan untuk mendapatkan warna tanah homogen.
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How to Cite
Winarso, S., Putri, S. N. A., & Kusuma, A. P. (2023). Efektivitas Deteksi Warna Tanah Secara Cepat dengan Software Berbasis Android. Agroteknika, 6(2), 161-174. https://doi.org/10.55043/agroteknika.v6i2.191
References
Ahmed, I. U., Assefa, D., & Godbold, D. L. (2022). Land-Use Change Depletes Quantity and Quality of Soil Organic Matter Fractions in Ethiopian Highlands. Forests. 13(1), 69. https://doi.org/10.3390/f13010069.
Al-Naji, A., Fakhri, A. B., Gharghan, S. K., & Chahl, J. (2021). Soil Color Analyis Based on a RGB Camera and an Artificial Neural Network Towards Smart Irrigation: A Pilot Study. Heliyon, 7(1), 1-9. https://doi.org/10.1016/j.heliyon.2021.e06078.
Astiningrum, M., Arhandi, P. P., & Fatmawati, E. (2019). Pengembangan Aplikasi Munsell Soil Color Detection Index Menggunakan Metode Support Vector Machine. Informatika Polinema, 4(2), 131-138. https://doi.org/10.33795/jip.v4i2.161
Badan Pusat Statistik. (2020a). Keadaan Pekerja di Indonesia Agustus 2020. Jakarta: Badan Pusat Statistik.
Badan Pusat Statistik. (2020b). Statistik Lahan Pertanian Tahun 2015-2019. Jakarta: Badan Pusat Statistik.
Badan Pusat Statistik. (2020c). Statistik Telekomuniasi Indonesia 2019. Jakarta: Badan Pusat Statistik.
Bandura, A. (1997). Guide for constructing self-efficacy scales. In. Urdan & Pajares, F. (Eds). Bandura, A. (1997). Guide for constructing self-efficacy scalesSelf-Efficacy Beliefs of Adolescents (pp. 307-337).
Chusyairi, A. (2019). Aplikasi E-Soil untuk Mengidentifikasi Warna Tanah Berbasis Android Menggunakan Munsell Soil Color Chart. Teknomatika, 9(1), 1-12. https://www.researchgate.net/publication/341940683_Aplikasi_E-Soil_untuk_Mengidentifikasi_Warna_Tanah_Berbasis_Android_Menggunakan_Munsell_Soil_Color_Chart
Clifton, J. R., & Brown, P. W. (1978). Methods for Characterizing Adobe Building Matrials. Washington, D. C: National Bureu Standards.
Conant, R. T., Ryan, M. G., Ågren, G. I., Birge, H. E., Davidson, E. A., Eliasson, P. E., Evans, S. E., …, & Bradford, M. A. (2011). Temperature and soil organic matter decomposition rates – synthesis of current knowledge and a way forward. Global Change Biology, 17(11), 3392–3404. https://doi.org/10.1111/j.1365-2486.2011.02496.x
Dutton, H., & Rice, P. (1995). Structural Glass. English: E & FN Spon.
Fiantis, D. (2017). Morfologi dan Klasifikasi Tanah. Padang: Lembaga Pengembangan Teknologi Informasi dan Komunikasi (LPTIK) Universitas Andalas.
Hanafiah, K. A. (2014). Dasar-dasar Ilmu Tanah. Jakarta: Rajawali Press.
Herdiansyah, G., Sofyan, E. T., Bawana, S., & Herawati, A. (2020). Perkembangan Tanah dari Bahan Induk Vulkanik di Desa Cileles, Kecamatan Jatinagor. J. Tanah dan Air, 17(2), 56-64. http://jurnal.upnyk.ac.id/index.php/jta/article/view/4235
Insights, IAS. (2020). UPSC Prelims 2020: Basic Geography Concepts. Copenhagen: New Era Publications.
Karyati, Putri, R. O., & Syafrudin, M. (2018). Suhu dan Kelembaban Tanah pada Lahan RevegEtasi Pasca Tambang di PT Adimitra Baratama Nusantara, Provinsi Kalimantan Timur. AGRIFOR, 17(1), 103-114. https://doi.org/10.31293/af.v17i1.3280
Kome, G. K., Enang, R. K., & Yerima, B. P. K. (2021). Soil Organic Carbon Distribution in a Humid Tropical Plain of Cameroon: Interrelationships with Soil Properties. Environmental Soil Science, 2021(3),1-8. https://doi.org/10.1155/2021/6052513
Latifah, K., Siswanto, J., & Supriyadi, B. (2020). K-Means Color Segmentation and Morphological Feature Extraction of Bamboo as an Environmentally Friendly Material for Soil Strengthening. Journal of Advanced Civil and Environmental Engineering, 3(1), 44-49. http://lppm-unissula.com/jurnal.unissula.ac.id/index.php/JACEE/article/view/7395.
Nodi, S. S., Paul, M., Robinson, N., Wang, L., & Rehman, S. (2023). Determination of Munsell Soil Colour Using Smartphones. Sensors, 23(6), 3181. https://doi.org/10.3390/s23063181
Panjaitan, D. M., & Pangestu, M. D. (2018). The Impact of Daylight Apertures and Reflective Surfaces on The Effectiveness of Natural Lighting at The Rumah Kindah Office in Jakarta. RISA, 2(1), 70-88. https://doi.org/10.26593/risa.v2i01.2932.70-88.
Pegalajar, M. C., Ruiz, L. G. B., & Criado-Ramón, D. (2023). Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution. AgriEngineering, 5(1), 355–368. https://doi.org/10.3390/agriengineering5010023.
Prasetyo, B. H. (2009). Tanah Merah dari Berbagai Bahan Induk di Indonesia: Prospek dan Strategi Pengelolaannya. Sumberdaya Lahan, 3(1), 47-60. http://dx.doi.org/10.21082/jsdl.v16n2.2022.67-81
Priandana, K., Zulfikar, A. S., & Sukarman. (2014). Mobile Munsell Soil Color Chart Berbasis Android Menggunakan Histogram Ruang Citra HVC dengan Klasifikasi KNN. Ilmu Komputer Agri-Informatika, 3(2), 93-101. https://www.neliti.com/publications/245421/mobile-munsell-soil-color-chart-berbasis-android-menggunakan-histogram-ruang-cit
Puspawati, C., & Haryono P. (2018). Bahan Ajar Kesehatan Lingkungan: Penyehatan Tanah. Jakarta: Kementerian Kesehatan Republik Indonesia.
Raulino, G. T, C., Oliveira, L. S., Nascimento, Í. V., Silva, C. P., Lobato, M. G. R., Alencar, T. L., Toma, R. S., Silva, F. G., & Mota, J. C. A. (2021). Assessing The Soil Color by Traditional Method and Smartphone: A Comparison. Revista de Ciencias Agrícolas, 38(1), 75-85. https://doi.org/10.22267/rcia.213801.146.
Rodriguez, R. M. (2011). Soil Fertility: An Important Aspect of Sustainable Agriculture. Minnesota Lulu Press. 1-21.
Roflin, E., & Zulvia, F. E. (2021). Kupas Tuntas Analisis Korelasi. Pekalongan: PT. Nasya Expanding Management.
Sofo, A., Zanella, A., & Ponge, J. F. (2021). Soil quality and fertility in sustainable agriculture, with a contribution to the biological classification of agricultural soils. Soil Use and Management, 38(2), 1085-1112. https://doi.org/10.1111/sum.12702
Solís, M., Muñoz-Alvarado, E. & Pegalajar, M. C. (2022). The Transformation of RGB Images to Munsell Soil-Color Charts. Uniciencia, 36(1), 1-10. https://doi.org/10.15359/ru.36-1.36.
Tobiszewski, M. & Vakh, C. (2023). Analytical applications of smartphones for agricultural soil analysis. Analytical and Bioanalytical Chemistry, 1-13. https://doi.org/10.1007/s00216-023-04558-1
Turk, J. K., & Young, R. A. (2019). Field Condition and The Accuracy of Visually Determined Munsell Soil Color. Soil Science Society of America, 84(1), 163-169. https://doi.org/10.1002/saj2.20023.
Villa, Y. B., Khalsa, S. D. S., Ryals, R., Duncan, R. A. Brown, P. H., & Hart, S. C. (2021). Organic matter amendments improve soil fertility in almond orchards of contrasting soil texture. Nutr Cycl Agroecosyst. 120, 343–361. https://doi.org/10.1007/s10705-021-10154-5.
Wiharso, D., Afandi, Cahyono, P., Loekito, S., Nishimura, N., & Senge, M. (2021). Effect of Long-Term Cassava Cultivation on The Morphology and Properties of Soils in Lampung Southern Sumatra Indonesia. GEOMATE, 20(79), 168-176. https://doi.org/10.21660/2021.79.j2053.
Winarso, S., Anggriawan, R., Subiksa, I., Ganestri, R. G., Intansari, S. R., & Budianta, D. (2022). Macronutrients (NPK) balance in rice field and dryland maize cropping systems. Journal of Degraded and Mining Lands Management, 10(1), 3945-3951. https://doi.org/10.15243/jdmlm.2022.101.3945.
Zani, N. R., Alasiry, A. H., & Wijayanto, A. (2022). Design and Development of Soil Nutrients Level Detection System based on Soil Color and pH for Crop Recommendations using Fuzzy Algorithms. The Indonesian Green Technology Journal, 11(1), 38-45. https://doi.org/10.21776/ub.igtj.2022.011.01.05
Al-Naji, A., Fakhri, A. B., Gharghan, S. K., & Chahl, J. (2021). Soil Color Analyis Based on a RGB Camera and an Artificial Neural Network Towards Smart Irrigation: A Pilot Study. Heliyon, 7(1), 1-9. https://doi.org/10.1016/j.heliyon.2021.e06078.
Astiningrum, M., Arhandi, P. P., & Fatmawati, E. (2019). Pengembangan Aplikasi Munsell Soil Color Detection Index Menggunakan Metode Support Vector Machine. Informatika Polinema, 4(2), 131-138. https://doi.org/10.33795/jip.v4i2.161
Badan Pusat Statistik. (2020a). Keadaan Pekerja di Indonesia Agustus 2020. Jakarta: Badan Pusat Statistik.
Badan Pusat Statistik. (2020b). Statistik Lahan Pertanian Tahun 2015-2019. Jakarta: Badan Pusat Statistik.
Badan Pusat Statistik. (2020c). Statistik Telekomuniasi Indonesia 2019. Jakarta: Badan Pusat Statistik.
Bandura, A. (1997). Guide for constructing self-efficacy scales. In. Urdan & Pajares, F. (Eds). Bandura, A. (1997). Guide for constructing self-efficacy scalesSelf-Efficacy Beliefs of Adolescents (pp. 307-337).
Chusyairi, A. (2019). Aplikasi E-Soil untuk Mengidentifikasi Warna Tanah Berbasis Android Menggunakan Munsell Soil Color Chart. Teknomatika, 9(1), 1-12. https://www.researchgate.net/publication/341940683_Aplikasi_E-Soil_untuk_Mengidentifikasi_Warna_Tanah_Berbasis_Android_Menggunakan_Munsell_Soil_Color_Chart
Clifton, J. R., & Brown, P. W. (1978). Methods for Characterizing Adobe Building Matrials. Washington, D. C: National Bureu Standards.
Conant, R. T., Ryan, M. G., Ågren, G. I., Birge, H. E., Davidson, E. A., Eliasson, P. E., Evans, S. E., …, & Bradford, M. A. (2011). Temperature and soil organic matter decomposition rates – synthesis of current knowledge and a way forward. Global Change Biology, 17(11), 3392–3404. https://doi.org/10.1111/j.1365-2486.2011.02496.x
Dutton, H., & Rice, P. (1995). Structural Glass. English: E & FN Spon.
Fiantis, D. (2017). Morfologi dan Klasifikasi Tanah. Padang: Lembaga Pengembangan Teknologi Informasi dan Komunikasi (LPTIK) Universitas Andalas.
Hanafiah, K. A. (2014). Dasar-dasar Ilmu Tanah. Jakarta: Rajawali Press.
Herdiansyah, G., Sofyan, E. T., Bawana, S., & Herawati, A. (2020). Perkembangan Tanah dari Bahan Induk Vulkanik di Desa Cileles, Kecamatan Jatinagor. J. Tanah dan Air, 17(2), 56-64. http://jurnal.upnyk.ac.id/index.php/jta/article/view/4235
Insights, IAS. (2020). UPSC Prelims 2020: Basic Geography Concepts. Copenhagen: New Era Publications.
Karyati, Putri, R. O., & Syafrudin, M. (2018). Suhu dan Kelembaban Tanah pada Lahan RevegEtasi Pasca Tambang di PT Adimitra Baratama Nusantara, Provinsi Kalimantan Timur. AGRIFOR, 17(1), 103-114. https://doi.org/10.31293/af.v17i1.3280
Kome, G. K., Enang, R. K., & Yerima, B. P. K. (2021). Soil Organic Carbon Distribution in a Humid Tropical Plain of Cameroon: Interrelationships with Soil Properties. Environmental Soil Science, 2021(3),1-8. https://doi.org/10.1155/2021/6052513
Latifah, K., Siswanto, J., & Supriyadi, B. (2020). K-Means Color Segmentation and Morphological Feature Extraction of Bamboo as an Environmentally Friendly Material for Soil Strengthening. Journal of Advanced Civil and Environmental Engineering, 3(1), 44-49. http://lppm-unissula.com/jurnal.unissula.ac.id/index.php/JACEE/article/view/7395.
Nodi, S. S., Paul, M., Robinson, N., Wang, L., & Rehman, S. (2023). Determination of Munsell Soil Colour Using Smartphones. Sensors, 23(6), 3181. https://doi.org/10.3390/s23063181
Panjaitan, D. M., & Pangestu, M. D. (2018). The Impact of Daylight Apertures and Reflective Surfaces on The Effectiveness of Natural Lighting at The Rumah Kindah Office in Jakarta. RISA, 2(1), 70-88. https://doi.org/10.26593/risa.v2i01.2932.70-88.
Pegalajar, M. C., Ruiz, L. G. B., & Criado-Ramón, D. (2023). Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution. AgriEngineering, 5(1), 355–368. https://doi.org/10.3390/agriengineering5010023.
Prasetyo, B. H. (2009). Tanah Merah dari Berbagai Bahan Induk di Indonesia: Prospek dan Strategi Pengelolaannya. Sumberdaya Lahan, 3(1), 47-60. http://dx.doi.org/10.21082/jsdl.v16n2.2022.67-81
Priandana, K., Zulfikar, A. S., & Sukarman. (2014). Mobile Munsell Soil Color Chart Berbasis Android Menggunakan Histogram Ruang Citra HVC dengan Klasifikasi KNN. Ilmu Komputer Agri-Informatika, 3(2), 93-101. https://www.neliti.com/publications/245421/mobile-munsell-soil-color-chart-berbasis-android-menggunakan-histogram-ruang-cit
Puspawati, C., & Haryono P. (2018). Bahan Ajar Kesehatan Lingkungan: Penyehatan Tanah. Jakarta: Kementerian Kesehatan Republik Indonesia.
Raulino, G. T, C., Oliveira, L. S., Nascimento, Í. V., Silva, C. P., Lobato, M. G. R., Alencar, T. L., Toma, R. S., Silva, F. G., & Mota, J. C. A. (2021). Assessing The Soil Color by Traditional Method and Smartphone: A Comparison. Revista de Ciencias Agrícolas, 38(1), 75-85. https://doi.org/10.22267/rcia.213801.146.
Rodriguez, R. M. (2011). Soil Fertility: An Important Aspect of Sustainable Agriculture. Minnesota Lulu Press. 1-21.
Roflin, E., & Zulvia, F. E. (2021). Kupas Tuntas Analisis Korelasi. Pekalongan: PT. Nasya Expanding Management.
Sofo, A., Zanella, A., & Ponge, J. F. (2021). Soil quality and fertility in sustainable agriculture, with a contribution to the biological classification of agricultural soils. Soil Use and Management, 38(2), 1085-1112. https://doi.org/10.1111/sum.12702
Solís, M., Muñoz-Alvarado, E. & Pegalajar, M. C. (2022). The Transformation of RGB Images to Munsell Soil-Color Charts. Uniciencia, 36(1), 1-10. https://doi.org/10.15359/ru.36-1.36.
Tobiszewski, M. & Vakh, C. (2023). Analytical applications of smartphones for agricultural soil analysis. Analytical and Bioanalytical Chemistry, 1-13. https://doi.org/10.1007/s00216-023-04558-1
Turk, J. K., & Young, R. A. (2019). Field Condition and The Accuracy of Visually Determined Munsell Soil Color. Soil Science Society of America, 84(1), 163-169. https://doi.org/10.1002/saj2.20023.
Villa, Y. B., Khalsa, S. D. S., Ryals, R., Duncan, R. A. Brown, P. H., & Hart, S. C. (2021). Organic matter amendments improve soil fertility in almond orchards of contrasting soil texture. Nutr Cycl Agroecosyst. 120, 343–361. https://doi.org/10.1007/s10705-021-10154-5.
Wiharso, D., Afandi, Cahyono, P., Loekito, S., Nishimura, N., & Senge, M. (2021). Effect of Long-Term Cassava Cultivation on The Morphology and Properties of Soils in Lampung Southern Sumatra Indonesia. GEOMATE, 20(79), 168-176. https://doi.org/10.21660/2021.79.j2053.
Winarso, S., Anggriawan, R., Subiksa, I., Ganestri, R. G., Intansari, S. R., & Budianta, D. (2022). Macronutrients (NPK) balance in rice field and dryland maize cropping systems. Journal of Degraded and Mining Lands Management, 10(1), 3945-3951. https://doi.org/10.15243/jdmlm.2022.101.3945.
Zani, N. R., Alasiry, A. H., & Wijayanto, A. (2022). Design and Development of Soil Nutrients Level Detection System based on Soil Color and pH for Crop Recommendations using Fuzzy Algorithms. The Indonesian Green Technology Journal, 11(1), 38-45. https://doi.org/10.21776/ub.igtj.2022.011.01.05