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ANALISIS KARAKTERISTIK FISIK DAN KIMIA TANAH DATARAN RENDAH UNTUK OPTIMALISASI PERTUMBUHAN TANAMAN TOMAT DI KIKO Banunaek, Zofar Agluis; Blegur, Ernes Josias; Pandu, Marvin Jecson
Jukung (Jurnal Teknik Lingkungan) Vol 11, No 1 (2025)
Publisher : Program Studi Teknik Lingkungan Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jukung.v11i1.22224

Abstract

Tomat merupakan salah satu sayuran yang multiguna dan memiliki nilai ekonomi yang tinggi. Saat ini permintaan tomat tidak sebanding dengan produksi tomat yang di kembangkan. Penelitian ini bertujuan untuk mengidentifikasi karakteristik fisik dan kimia tanah dataran rendah yang mendukung pertumbuhan tanaman tomat di Kiko. Metode yang digunakan adalah survei dan pengambilan sampel tanah menggunakan sistem diagonal pada kedalaman 0–40 cm, selanjutnya dilakukan analisis laboratorium meliputi sifat fisik tanah dan kandungan hara. Hasil penelitian menunjukkan tanah tersebut memiliki kandungan bahan organik yang rendah, sebagian besar tekstur tanah berkategori lempung berdebu, kadar air rata-rata 26,47% yang tergolong rendah, berat jenis berkisar antara 2,58-2,65 g/cm³, dan berat volume berkisar antara 1,50-1,60 g/cm³. Porositas tanah berkisar 40,7%-47,6%, tergolong rendah, sedangkan nilai permeabilitas tanah mencapai 2,76 cm/jam yang termasuk kategori rendah. Kadar NPK tidak mencapai jumlah rata-rata yang disyaratkan. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa kualitas fisik dan kimia tanah memiliki peranan yang sangat penting dalam pengelolaan tanah secara optimal untuk mendukung pertumbuhan tanaman tomat di Kiko.
In Silico Identification of Putative miRNAs Targeting GME to Increase Ascorbic Acid in Tomato Bonnu, Christin H.; Tiara Ayu Nugraha Putri; Blegur, Ernes Josias
Biospecies Vol. 18 No. 2 (2025): Juli 2025
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/biospecies.v18i2.44411

Abstract

The primary natural sources of ascorbic acid or vitamin C are fruits and vegetables, withtomatoes being one of the most readily available and accessible examples. The biosynthesisof ascorbic acid through the L-galactose pathway plays a key role in regulating vitamin C production in tomatoes. microRNAs (miRNAs) are among the various regulators that interact with mRNA involved in this process. Investigating how miRNA regulates mRNA could provide crucial information for developing genetic engineering techniques to boost vitamin C production. The main purpose of this research is to identify potential miRNA regulators ofGME using in silico approach. The research findings demonstrated that ascorbic acid biosynthesis in tomato involves 19 gene IDs. It also discovered that GME interacts with multiple miRNAs in tomatoes, specifically sly-miR-159b, sly-miR-159a, sly-miR-167, sly-miR-319c, sly-miR-319b and sly-miR-319a. Among these miRNAs, sly-miR-159a displays higher expression, which allows it to exert a suppressive effect on GME activity (negative regulator), leading to a decrease in vitamin C production. Decreasing the expression of this miRNA provides a potential molecular approach for enhancing the nutritional quality of tomato cultivars in response to the rising demand for functional foods.
SIMULASI PENGENDALI SUHU DAN KELEMBABAN PADA BUDIDAYA JAMUR TIRAM DENGAN METODE FUZZY LOGIC SUGENO: PENDEKATAN KONSEPTUAL Blegur, Ernes Josias; Bonnu, Christin Hendriyani
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2068

Abstract

Oyster mushroom (Pleurotus ostreatus) cultivation requires ideal environmental conditions, particularly temperature and humidity parameters, to achieve optimal growth. This study aims to evaluate the effectiveness of applying fuzzy logic through the Sugeno method in developing an automatic control system for oyster mushroom cultivation, with the study limited to the system simulation stage. The simulation results show that the Sugeno method is capable of producing high accuracy in the decision-making process and adaptive adjustment of environmental parameters. The developed system is able to maintain the average value of air humidity in the range of 80–90% and air temperature between 22–28°C, in accordance with the ideal conditions for oyster mushroom growth. This research can be a foundation for further development in the implementation of efficient and sustainable control systems, especially in supporting oyster mushroom farmers in the North Central Timor region.