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Optimalisasi Pertumbuhan Jagung Manis Melalui Pengelolaan Fosfor Elfandari, Henni; Purnama Sari, Hevia; Fitri, Annisa; Ardiansyah, Sigit
Media Pertanian Vol 10, No 2 (2025): Media Pertanian
Publisher : Program Studi Agroteknologi Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/mp.v10i2.16848

Abstract

Zea mays L. var. saccharata merupakan salah satu komoditas hortikultura bernilai penting karena mengandung berbagai vitamin dan mineral dalam jumlah tinggi. Penurunan produktivitas tanaman ini sering dikaitkan dengan praktik pemupukan yang belum dilakukan secara tepat. Penelitian ini dilakukan untuk mengevaluasi respons pertumbuhan dan hasil jagung manis terhadap pemberian pupuk fosfor (P) pada beberapa tingkat dosis, sekaligus menentukan dosis yang paling optimal bagi tanaman. Penelitian berlangsung dari Maret hingga Juni 2024 di Lahan Percobaan Jurusan Budidaya Tanaman Pangan, Politeknik Negeri Lampung, Bandar Lampung. Percobaan disusun menggunakan Rancangan Acak Kelompok Lengkap (RAKL) dengan satu faktor, yaitu dosis fosfor, yang terdiri atas lima perlakuan: P0 (tanpa pupuk, 0 kg/ha), P1 (50 kg/ha), P2 (100 kg/ha), P3 (150 kg/ha), dan P4 (200 kg/ha). Parameter yang diamati meliputi tinggi tanaman, jumlah daun, diameter tongkol, panjang tongkol, serta bobot hasil per petak. Hasil penelitian memperlihatkan bahwa pemberian pupuk SP-36 memberikan pengaruh nyata terhadap seluruh komponen pertumbuhan dan hasil dibandingkan dengan tanaman yang tidak dipupuk. Dosis 100 kg/ha teridentifikasi sebagai tingkat aplikasi yang paling efektif dalam meningkatkan performa pertumbuhan jagung manis.  Zea mays L. var. saccharata) is an important horticultural commodity due to its high content of various vitamins and minerals. Declines in its productivity are often associated with fertilization practices that are not applied appropriately. This study was conducted to assess the growth response and yield of sweet corn to the application of phosphorus (P) fertilizer at several dosage levels and to identify the most optimal dose for the crop. The research was carried out from March to June 2024 at the Experimental Field of the Department of Food Crop Cultivation, Politeknik Negeri Lampung, Bandar Lampung. The experiment was arranged using a Randomized Complete Block Design (RCBD) with a single factor, namely phosphorus dosage, consisting of five treatments: P0 (no fertilizer, 0 kg/ha), P1 (50 kg/ha), P2 (100 kg/ha), P3 (150 kg/ha), and P4 (200 kg/ha). Observed parameters included plant height, number of leaves, cob diameter, cob length, and yield per plot. The results demonstrated that the application of SP-36 fertilizer had a significant effect on all growth components and yield variables compared with plants that did not receive phosphorus. The dosage of 100 kg/ha was identified as the most effective application rate for enhancing the growth performance of sweet corn.
Respons Pertumbuhan dan Produksi Bawang Merah Terhadap Pemberian Pupuk Bokashi Fitri, Annisa; Zulfahmi, Reza; Tiara, Dede; Adzania Lestari, Mustika; Purnama Sari, Hevia; Aulia Putrantri, Desti
J-Plantasimbiosa Vol. 7 No. 2 (2025)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jplantasimbiosa.v7i2.4369

Abstract

Shallot (Allium ascalonicum L.) is an important horticultural commodity that contributes significantly to Indonesia's economy. However, its production declined in 2022–2023 compared to 2021. Fertilization plays a key role in improving soil fertility and supplying nutrients for optimal plant growth. This study aimed to assess the growth and yield response of the Brebes shallot variety to various doses of bokashi fertilizer and to determine the most effective dose. The experiment used a Randomized Complete Block Design (RCBD) with one factor: bokashi dosage, consisting of six treatments—B0 (control), B1 (1 kg/m²), B2 (1.5 kg/m²), B3 (2 kg/m²), B4 (2.5 kg/m²), and B5 (3 kg/m²). Each treatment was replicated four times with ten plants per replication, totaling 280 experimental units. The results indicated that bokashi application significantly affected leaf length, leaf diameter, bulb length, bulb diameter, fresh and dry bulb weight, as well as total yield per clump. The highest growth and yield were observed at the 3 kg/m² dosage. Thus, bokashi at 3 kg/m² is considered the most effective dose for improving the growth and productivity of the Brebes shallot variety.
Growth of morel berry (Physalis angulata L.) from different cutting types and plant growth regulators Sari, Hevia Purnama; Ferziana, Ferziana; Hidayat, Hilman; Jumawati, Riana
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 53 No. 3 (2025): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v53i3.67399

Abstract

Morel berries are generally propagated using seeds, and vegetative propagation could be an alternative for rapid propagation. This research aimed to evaluate morel berry seedlings from different cutting types and natural plant growth regulators. This research was carried out from May to October 2024 at Plant Laboratory 3, Politeknik Negeri Lampung, Lampung. The experiment was arranged in a randomized complete block design with two factors, i.e., cutting type and plant growth regulators. Observation variables included growth percentage, number of shoots, and shoot length. Data were analysed using analysis of variance (ANOVA) followed by the DMRT test at the 5% level. Based on data, there is no interaction between the first factor (cutting type) and the second factor (PGR). Vegetative propagating of themorel berry using shoot cuttings had a growth percentage of 81%. PGR from mungbean sprout extract had higher growth stimulation than other sources. A more in-depth study is needed regarding the appropriate concentration for each type of PGR. Keywords: ciplukan; natural PGR; shoot cutting; stem cutting; vegetative propoagation
Sistem Irigasi dan Pemupukan Cerdas Berbasis IoT dengan Integrasi Cloud Database Dani Rofianto; Eko Win Kenali; Khusnatul Amaliah; Jaka Fitra; Halim Fathoni; Tiara Kurnia Khoerunnisa; Hevia Purnama Sari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23124

Abstract

Internet of Things (IoT)-based smart agriculture provides an innovative solution to enhance the efficiency and sustainability of agricultural production amid challenges such as water scarcity, inefficient fertilization, and climate variability. This study developed an IoT-based smart irrigation and fertilization management system integrated with the Firebase Realtime Database for real-time monitoring and control. The system combined soil moisture, air humidity, and temperature sensors with an ESP32 microcontroller, enabling automatic and manual decision-making based on environmental conditions. Users could interact with the system via a responsive web dashboard that provided both data visualization and manual control. System testing conducted in a greenhouse environment demonstrated stable and accurate data acquisition, with average readings of 27.91°C for temperature, 74.75% RH for air humidity, and 71.31% for soil moisture, within ±2.3% of analogue measurements. The relay actuation response time was less than 1 s, while Firebase synchronization achieved over 98% reliability during continuous operation. Additionally, the system achieved 20% water savings compared to manual irrigation methods and successfully controlled fertilizer distribution and exhaust ventilation to stabilize humidity. These results confirm that the proposed system supports real-time, precise, and energy-efficient control, suitable for small to medium-scale agricultural applications, especially in areas with unstable internet connectivity. This research establishes a strong foundation for future integration with AI-based systems, such as fuzzy logic and machine learning, to enable fully autonomous, adaptive precision agriculture.