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Application Test Rhizobium and Trichoderma To The Growth and Yield Of Soybean (Glycine Max (L)) Sutarman Sutarman; Meilani Fatimah
Nabatia Vol 5 No 1 (2017): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.088 KB) | DOI: 10.21070/nabatia.v5i1.860

Abstract

The objective of the research was to know of the responses of the aplication Rhizobium of nodule root Soybean as well as nodule root Mimosa pudica and Trichoderma iso- late Tc-Jjr02. The research was conducted on the Green House Faculty of Agriculture, Muhammadiyah University of Sidoarjo, from Januari to Mei 2016. This research com- piled using a factorial randomized complete design which consists of 2 factors : factor I is application Rhizobium consisting of : R0 (withow Rhizobium), R1(Rhizobium of soy- bean), R2(Rhizobium of mimosa pudica). Factor II application Trichoderma consisting of : T0 (withow Trichoderma) and T1 (Trichoderma isolat Jati Jejer-02). Of these two factors obtained 6 treatment combinations and repeated 4 times. From the analysis of statisti- cal data shows that application Rhizobium on significant effect the amount of leaf age 40 HST and 60 HST as well as the number of pods, planting seed weight , weight of 100 seeds, and fresh weight of plant root nodules. Application Rhizobium significantly affected the wet weight of stover. Trichoderma isolate Jati Jejer-02 capable symbio- sis with the plant so that the very significant effect on plant height age 7 HST and the amount of leaf age 20 HST. As well as the interaction between application Rhizobium and Trichoderma isolates significantly affected the number of pods plant.
Trichoderma sp. Biopesticide Application Against Vegetative Biomass and Potato (solanum tuberosum) Sutarman Sutarman; Vicky Prasetya Putra
Nabatia Vol 6 No 2 (2018): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.304 KB)

Abstract

This study aims to examine the biopesticide application of Trichoderma sp. to control leaf blight on potatoes. This research was conducted at the campus microbiology laboratory of Sidoarjo Muhammadiyah University, Gelam village, Sidoarjo district temple district and Tulungrejo village land, Bumiaji Sumberbrantas, Batu East Java, from July to September 2018. This study was arranged in a Completely Randomized Design (CRD) with 4 treatments and repeated 8 times so that 32 experimental units were obtained. The variables observed were stover wet weight, stover dry weight, total tuber weight, and rotten tuber weight. Data were analyzed by various ANOVA analysis followed by BNJ test at 5% level. The results showed that Trichoderma biopesticide had no significant effect on the weight of the stover of potato plants both wet and dry, and on the total tuber weight. But it has a difference in reducing rotten tubers.
Effect of 60% Shade and Trichoderma Biological Fertilizer on Vegetable Rice Gogo Growth Sutarman; Nur Adi Santoso
Nabatia Vol 9 No 2 (2021): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.184 KB)

Abstract

The aim of this study was to determine the effect of 60% shade and Trichoderma biofertilizer and its possible interaction on vegetative growth of upland rice plants up to 56 days after planting (HST) on acid soils. In this study used a split plot design that was arranged in a completely randomized design (CRD). As the main plot is a Shade consisting of no shade and shade of 60% intensity. The subplot was Trichoderma biofertilizer application consisting of without Trichoderma, Trichoderma isolate Tc-Jjr-02 and isolates Tc-Jro-01. With repeated tests 4 times were obtained 24 experimental units. The variables observed were plant height and number of tillers 7-56 HST. Observation data were analyzed using a variety analysis with a 5% test level followed by a 5% BNJ test. The results showed that there were no interaction effects between Shade and Trichoderma isolates. Each has a significant effect on the number of tillers 21-56 HST. Upland rice plants are not able to grow well under 60% shade, while Trichoderma Tc-Jro-01 isolates are the best biological agents in providing high growth responses and the number of gogopada rice tillers is sour soil.
PEMANFAATAN TRICHODERMA DAN AIR KOLAM BUDIDAYA UDANG VANAMEI SEBAGAI SUBSTITUEN MEDIA HIDROPONIK TANAMAN PAKCOY Sutarmaan Sutarman; M Fadil; Lukman Hudi; Sriyono Sriyono; Syarifa R N; Mulyadi Mulyadi
Jurnal Agrotek Tropika Vol 11, No 3 (2023): JURNAL AGROTEK TROPIKA VOL 11, Agustus 2023
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v11i3.6560

Abstract

Penelitian ini dilakukan untuk  mengetahui  respons tanaman pakcoy (Brassica rappa) terhadap kinerja konsorsium Trichodermayang diformulasi dalam tepung sekam dan air kolam budidaya udang Vaname sebagai substituen media tanam hidroponik. Kegiatan dilangsungkan di Tlocor-Tanjungsari, Jabon, Sidoarjo, September-Desember 2022.   Empat perlakuan dalam percobaan ini disusun dalam Rancangan Acak Lengkap yang terdiri atas AB-Mix 5.000 ppm, AB-Mix 2.500 ppm + Trichoderma, AB-Mix 2.500 ppm + Trichoderma dan air kolam 20%, dan Trichoderma dan air kolam 20%. Total satuan percobaan 20 yang masing-masing terdiri atas delapan tanaman dalam satu baki ukuran 20x40 cm. Varibel yang diamati tinggi, jumlah,  dan luas daun 10 dan 20 hari setelah transplanting, serta bobot panen. Analisis ragam (ANOVA) dilakukan terhadap semua data; untuk mengetahui perbedaan antar perlakuan dilakukan uji BNT 5%.  Penggunaan Trichoderma yang dikombinasikan dengan air kolam dan dengan AB-Mix berpengaruh terhadap tinggi, jumlah daun, luas daun, serta bobot segar panen tanaman pakcoy. Aplikasi konsorsiumTrichoderma dan bersama-sama dengan pemberian airkolam  tambak mampu mensubtitusi sebanyak 50 % konsentrasi standard AB-Mix sebagai  nutrisi berupa senyawa kimia anorganik dalam budidaya pakcoy secara hidroponik. 
Enhancing Growth and Yield of Caisim Mustard (Brassica juncea L.) in Hydroponic Cultivation through Trichoderma Consortium and ABmix Combination: Meningkatkan Pertumbuhan dan Hasil Sawi Caisim (Brassica juncea L.) dalam Budidaya Hidroponik melalui Kombinasi Konsorsium Trichoderma dan ABmix Fadillah Timur Gumelar; Sutarman Sutarman
Indonesian Journal of Innovation Studies Vol. 23 (2023): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.902

Abstract

This research aims to investigate the impact of Trichoderma application, both individually and in combination with ABmix and shrimp pond water, on the growth and yield of caisim mustard plants in a hydroponic system. The study was conducted in Tlocor Village, Jabon District, Sidoarjo Regency, from November to December 2022, using a Randomized Block Design (RBD) with 6 repetitions. The treatments comprised various nutrient combinations: 100% ABmix, Trichoderma and husk dilution, Trichoderma and pond water dilution (one-third of water medium), 50% ABmix with Trichoderma and husk dilution, and 50% ABmix with Trichoderma and pond water dilution. Data were analyzed using variance at 5% and 1% levels, followed by a 5% BNJ test. The findings indicated that a 50% concentration of Trichoderma combined with ABmix significantly increased plant height, leaf count, and leaf area up to 28 days after planting. Furthermore, it enhanced harvested wet weight, harvested dry weight, and harvest index. Notably, Trichoderma applied with one-third shrimp pond water as a planting medium resulted in the highest growth with 9.38 leaves, 109.23 cm2 leaf area, and harvested wet and dry weights of 68.25 and 11.00 g per plant. Overall, the Trichoderma consortium demonstrated the potential to effectively enhance the growth and yield of caisim mustard, offering a promising alternative to chemical nutrients in hydroponic cultivation. Highlights: Effectiveness of Trichoderma: The study aimed to determine the effect of Trichoderma application and its combination with ABmix and shrimp pond water on the growth and yield of caisim mustard plants in a hydroponic system. Results showed that the application of Trichoderma significantly increased plant height, number of leaves, and leaf area up to 28 days after planting. Optimal Nutrient Combination: The study found that using a combination of Trichoderma and ABmix at a concentration of 50% resulted in the highest increase in harvested wet weight, harvested dry weight, and harvest index. Additionally, using one-third of shrimp pond water for planting media produced the highest growth. Potential of Trichoderma Consortium: The study suggests that Trichoderma has the potential to effectively increase the growth and production of mustard greens in hydroponic cultivation. It could also be a viable substitute for chemical nutrients, promoting environmentally friendly and sustainable farming practices.
Potential of Aspergillus flavus Isolated from Marginal Saline Soil as a Biofertilizer Agent: A Comparative Study with Trichoderma esperellum: Potensi Aspergillus flavus yang Diisolasi dari Tanah Salin Marginal sebagai Agen Biofertilizer: Sebuah Studi Perbandingan dengan Trichoderma esperellum Risalatul Hasanah; Sutarman Sutarman
Indonesian Journal of Innovation Studies Vol. 23 (2023): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v22i.906

Abstract

This study aimed to assess the potential of Aspergillus flavus, isolated from marginal saline soil, as a biofertilizer agent by comparing its in vitro diversity with the biological agent Trichoderma esperellum (collected from the UMSIDA Microbiology and Biotechnology Laboratory). The research was conducted at the Microbiology and Biotechnology Laboratory, University of Muhammadiyah Sidoarjo. Macroscopic and microscopic morphological tests were performed on Aspergillus flavus isolated from rice root soil. The sensitivity test of the biological agents on saline soil showed no influence on their growth. Notably, the findings indicated that Aspergillus flavus exhibited faster growth on saline soil compared to its growth on PDA-c media. Moreover, the combination of PDA-c and saline soil in ratios of 1:1 and 2:1 significantly enhanced the growth response of A. flavus by 50% and 70%, respectively, two days after inoculation. These results suggest the promising potential of Aspergillus flavus as a biofertilizer agent to enhance soil fertility in saline environments. Highlights: Potential of Aspergillus flavus: The study aimed to determine the potential of the fungus Aspergillus flavus, isolated from marginal saline soil, as a biofertilizer agent. The research activity included comparing its diversity in vitro with the biological agent Trichoderma esperellum. Morphological Tests: The fungus Aspergillus flavus was subjected to macroscopic and microscopic morphological tests. Morphological observations of the growth of biological agents were carried out macroscopically and microscopically. Sensitivity of Biological Agents: The test of the sensitivity of biological agents on saline soils showed no influence on the growth of biological agents on saline soil media.
Analisis Perbandingan Model CNN Terhadap Klasifikasi Citra Komponen Elektronika Arrosyid, Muhammad Zydane; Hermawan, Arief; ., Sutarman
Jurnal Algoritme Vol 5 No 2 (2025): April 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v5i2.10259

Abstract

This study compares various Convolutional Neural Network (CNN) models in classifying electronic component images. The background of this research stems from the need to automatically identify and classify components in environments with limited computational resources. The data used in this research was collected through image scraping from the internet, supplemented by direct image acquisition using a camera. The data was then processed and trained using several CNN models, including MobileNet, NASNetLarge, VGG16, and others, as well as a custom CNN model developed by the researcher. The results show that NASNetLarge achieved the highest test accuracy of 79.31%, while MobileNet demonstrated high efficiency in computational resource usage. This study highlights that model size does not always correlate with accuracy, and models with fewer parameters can provide effective solutions for resource-constrained conditions.