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All Journal Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Widya Narti Lubis
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Pengaruh Pupuk Hayati Mikoriza Terhadap Pertumbuhan dan Hasil Tanaman Tomat (Solanum lycopersicum) dengan Rancangan Acak Lengkap Septia Cahaya Sari Sipayung; Thanaya Lovry Lastiar; Trinita Melyana Hutagalung; Widya Narti Lubis; Putri Maulidina Fadilah
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 2 No. 6 (2024): Desember : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v2i6.1323

Abstract

This study aims to analyze the effect of mycorrhizal biofertilizer on the growth of tomato plants (Solanum lycopersicum) height over a period of 8 weeks. A Completely Randomized Design (CRD) was employed with six treatments: no mycorrhiza (Mo), low doses (M0.1), and high doses (M1, M1.1, M2, M2.1) with variations of 5 grams and 10 grams. The results showed that the application of mycorrhiza at higher doses resulted in significant growth compared to the control treatment. By week 8, plants receiving treatments M2 and M2.1 reached an average height of 32 cm and 32.5 cm, while the control treatment without mycorrhiza only reached 9 cm. Variance analysis (ANOVA) indicated significant differences at the 95% confidence level among treatments. Therefore, the use of mycorrhizal biofertilizer has been proven effective in enhancing the height growth of tomato plants, which is expected to increase productivity in horticultural cultivation.
Evaluasi Perencanaan Produksi Kubis Di Sumatera Utara Dengan Metode Rantai Markov Waktu Diskrit Witri Wardani Hulu; Talitha Nakhwan Hasibuan; Widya Narti Lubis; Sudianto Manullang; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 3 (2024): September : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i3.3736

Abstract

This research aims to evaluate cabbage production planning in North Sumatra using the discrete-time Markov chain method. Cabbage is one of the horticultural agricultural products that plays an important role in North Sumatra's exports. Proper evaluation of production plans is necessary to ensure sustainability and increase productivity and export volume. The Discrete Time Markov Chain method is used to predict changes in cabbage production conditions over time by considering the factors that influence them. Data on cabbage production and harvested area in North Sumatra from 2020 to 2022 were analyzed using one-step and n-step transition opportunity matrices. The results of the analysis show that in 2023, cabbage production and harvested land area are predicted to experience a significant increase compared to the previous year. This research provides a more accurate and efficient planning strategy for cabbage production, which can ultimately improve agricultural management in North Sumatra.
Co-Authors Manullang, Sudianto Putri Maulidina Fadilah Septia Cahaya Sari Sipayung Sisti Nadia Amalia Talitha Nakhwan Hasibuan Thanaya Lovry Lastiar Trinita Melyana Hutagalung Witri Wardani Hulu