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All Journal Jurnal Ilmu Pertanian Indonesia Teknotan: Jurnal Industri Teknologi Pertanian Agrointek Agrovigor: Jurnal Agroekoteknologi JTSL (Jurnal Tanah dan Sumberdaya Lahan) Panrita Abdi - Jurnal Pengabdian pada Masyarakat Agriprima : Journal of Applied Agricultural Sciences AGROMIX Agro Bali: Agricultural Journal Jurnal Triton Nusantara Science and Technology Proceedings Fruitset Sains : Jurnal Pertanian Agroteknologi Journal of Soilscape and Agriculture
Sinar Suryawati
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Veterinary Other

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Identifikasi morfologi dan rendemen kunyit (Curcuma domestica Val.) di Kecamatan Kamal dan Kecamatan Bangkalan, Kabupaten Bangkalan: Identification of morphology and yield of turmeric (Curcuma domestica Val.) in Kamal and Bangkalan Districts Adisa, Shafira Desty; Tripatmasari, Mustika; Suryawati, Sinar; Wasonowati, Catur
AGROMIX Vol 13 No 2 (2022)
Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v13i2.2883

Abstract

Introduction: The increasing market demand for herbal medicines causes an increase in the demand for medicinal plants to meet the raw materials for herbal medicines. Therefore, it is necessary to increase the productivity of turmeric, especially on Madura Island, one of which is by taking a morphological approach to turmeric rhizomes to determine the differences in characters and also the yield of simplicia in Bangkalan Regency. This study aims to identify the morphology and percentage of turmeric rhizome yield in two locations in Bangkalan District, namely Kamal District and Bangkalan District. Methods: This study uses a survey method conducted in two sub-districts in Bangkalan District, namely Kamal District and Bangkalan District which were determined by purposive sampling based on the initial purpose of the study. Turmeric samples were taken using the Snowball sampling method to determine the location or sample points totaling 3 locations. Results: The results showed that the morphological characters of turmeric in both Kamal and Bangkalan sub-districts had similar characteristics, starting from the leaves, pseudo-stems and roots. The highest yield was in Kamal District, which was 16.35%, while in Bangkalan District the highest yield was 16.38%. Conclusion: There are no significant differences in the morphological characters of turmeric in Kamal and Bangkalan sub-districts due to almost the same biotic, abiotic and altitude conditions.
HUBUNGAN INDEKS VEGETASI DENGAN KLOROFIL DAN NITROGEN PADA DAUN TANAMAN JAGUNG BERBASIS CLOUD COMPUTING PLATFORM Rahman, Fahmi Arief; Aini, Yuli Kurrotul Binti; Prasetyo, Syukur Toha; Suhartono; Suryawati, Sinar
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.14

Abstract

Vegetation indices are algorithms that represent aspects of vegetation such as leaf area index, biomass, and chlorophyll concentration. The index is thought to be used to determine chlorophyll and nitrogen content which makes it more effective and efficient. The purpose of this study is to determine the relationship between vegetation indices and chlorophyll and nitrogen content of corn leaves through a cloud computing platform. Vegetation indices were obtained from Sentinel 2A image processing with Google Earth Engine. Chlorophyll and nitrogen content were obtained from laboratory analysis. This study used 13 sample points in corn crop areas spread across Dlanggu, Bangsal, and Jatirejo sub-districts in Mojokerto district. The correlation test was used to determine the level of relationship between variables. The results showed that the vegetation index generated from image processing through GEE had no correlation with chlorophyll and nitrogen content from laboratory analysis. The weak correlation was thought to be due to atmospheric effects such as clouds, as well as climatic effects such as the rainy season and cloudy skies, which cause the calculation of vegetation indices to be disrupted. The dominant phase of the sample plants in the early generative phase and the possibility of errors in the analysis of chlorophyll and nitrogen content were thought to contribute to the lack of correlation in this study.
Co-Authors - Mahsun - Sucipto Achmad Djunaidi ade rahmawati Adisa, Shafira Desty Afina Shifriyah AH. Maftuh Hafidh Zuhdi Aini, Yuli Kurrotul Binti Anisa Fajrin Bagus Arrasyid Beauty Laras Setia Pertiwi Burhan Cahyo Indarto Catur Wasonowati Choirul Umam DARIMIYYA HIDAYATI Eko Murniyanto Eko Murniyanto EKO SETIAWAN Erick Yuhardi Fahmi Arief Rahman Hadisah, Mukhtafatul Iffan Maflahah Jannatin Milyani Kaswan Badami Khodali, Achmad Mandasari, Putri A. Masrukhatin Na’imah Muhammad Fuad Fauzul Mu`tamar Murtadlo, Mesi Khodijah Mustika Tripatmasari Mustika Tripatmasari Nur Syamsiyah Prasetyo, Syukur Toha Putri Andini Mandasari Shavira Kintan Aurelita Shofiyatun Nisa SITI FATIMAH Slamet Supriyadi Sri Hastuti Subhan - Suci Aulia Putri Sucipto - Suhartono upriyadi, Slamet S Wahyu Nur Laili Yusy Purwaningsih