Mohammad Syafii
Program Studi Agroekoteknologi Fakultas Pertanian Universitas Trunojoyo Madura

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G-ROCS (GREEN ROBOT RECYCLE WASTE): MEDIA PENINGKATAN KREATIVITAS DAN CINTA LINGKUNGAN SEJAK DINI Syafii, Mohammad; Zuhriadi, Daniel Candra; Baidowi, Ahmad; Hamzah, Febrian
Program Kreativitas Mahasiswa - Pengabdian Kepada Masyarakat PKM-M 2013
Publisher : Ditlitabmas, Ditjen DIKTI, Kemdikbud RI

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Abstract

The program aims to establish in elementary school 01 Bangkalan as the pilot project, utilizing the trash as robot, enhancing environmental care and creativity. Methodologically, it is initiated by observing the trash and designing the character of G-RoCs. In addition, this project are introduced, socialized, and motivated to the school stake holders. It was held from May to August 2013, 50 participants and conducted six times. Furthermore, the result were 5 characters; rokhi, robhi, alikha, trachi, and sanmist. This finding triggers 74% the student to love the environment better. From all characters, rokhi and sanmist are the most favorite characters.
PENGARUH INDOL-3-BUTIRIC-ACID DAN THIDIAZURON TERHADAP MULTIPLIKASI TUNAS NENAS (Ananas comosus (L) Merr) CV. SMOOTH CAYYENE SECARA IN VITRO Syafii, Mohammad; Badami, Kaswan; Nursandi, Fatimah
Rekayasa Vol 6, No 1: April 2013
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.927 KB) | DOI: 10.21107/rekayasa.v6i1.2097

Abstract

Pineapple (Ananas comosus L.) is one of the most potential fruit crop cultivating in Indonesia. However, it is difficult to meet the demand for planting materials using the conventional propagation techniques due to production inefficiency. This research aim to know the influence solid medium of Murashige and Skoog (MS) composed of Indol-3-Butiric Acid and Thidiazuron, upon pineapple Var Smooth Cayenne shoot multiplication response. Shoot multiplication using a factorial complete random design. The first is a 3-level IBA concentration (0.3 ppm, 0.6 ppm, 0.9 ppm), a 3-level TDZ concentration (0.2 ppm, 0.4 ppm, 0.6 ppm). The finding shows that MS richly composed IBA and TDZ with low concentration gives 100% shoot the fastest periodic appearance (two weeks after incubation). Varians analysis finding shows that there is no interaction between IBA and TDZ.Low IBA concentration gives the higest quantity of shoot 9.32 (5.60 data transformation) at 5 week after incubation, at the end of the analysis tends to give the higest shoot 11.17 (6.18 data transformation) even though it is statistically not slighty difference. The highest TDZ concentration (0,6 ppm) give a few number of roots 0.89 (2,65 data transformation) and the lowes shoots leaf 3.84 (4.04 data transformation). The higher the TDZ is, the more nodal may appear.
Review: Teknologi Simple Phenotyping sebagai Database Pengembangan Robot Pendeteksi dan Pemupuk Nitrogen Padi Syafii, Mohammad; Rozik, M. Haidar; Febi Torimania, Airlanggia; Nur Indriana, Janan Nabilah
Rekayasa Vol 14, No 2: Agustus 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i2.10709

Abstract

Rice is one of the most important staple food consumed by more than half of the world population, especially in Indonesia where majority of the people consumed rice as daily intake. Precision agriculture is needed to boost production to meet the demand. As limiting factor for plant growth, huge doses of nitrogen fertilizer are deployed, in fact the absorbtion rate of plant was only about 50%. Developing vision-control based robot for fertilizing plant need proper database so that false positive and negative could be avoided. Several previous methods that were available to assest nitrogen status in plant such as a color chart, spectrometer, SPAD-502, and kjedahl. Plant phenotyping is often used for plant breeding, but also very useful in determining nutrient status in plants. Cheap and simple phenotyping using digital camera followed by extracting data through open source platform such as ImageJ can be very useful to generate data for building the database. Here we presented the current progress on plant phenotyping for nitrogen assessment in plant as well as an ImageJ in phenomic era. We also highlight some robotic progress especially vision-based robot, who rely on proper imaging data for their training.