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All Journal Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Septia Cahaya Sari Sipayung
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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.
Peramalan Prakiraan Cuaca Setiap Hari di Kota Medan dengan Pendekataan Rantai Markov Septia Cahaya Sari Sipayung; Thanaya Lovry Lastiar; Trinita Melyana Hutagalung; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : 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.v2i2.3516

Abstract

This research utilizes the Markov Chain method to analyze daily weather data in the city of Medan. The main objective of this study is to forecast weather changes in the future based on the weather conditions of the previous day. Daily weather data was collected from the nearest weather station over a specific period of time. The analysis results indicate that the Markov Chain model provides good estimates of the likelihood of weather changes from one day to the next. The steady state probabilities demonstrate the dominance of partly cloudy and clear weather in the long term. This research provides valuable insights for various sectors related to weather, such as agriculture, transportation, and tourism.
Co-Authors Putri Maulidina Fadilah Sisti Nadia Amalia Thanaya Lovry Lastiar Trinita Melyana Hutagalung Widya Narti Lubis