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Spectral Characteristics of High-Yielding Varieties of Rice Plants Using Landsat 8 Data Dewi, Candra; Supianto, Ahmad Afif; Sutrisno, Sutrisno
AGRIVITA, Journal of Agricultural Science Vol 35, No 3 (2013)
Publisher : Faculty of Agriculture University of Brawijaya and Indonesian Agronomic Assossiation

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In applying remote sensing technology for inventory, evaluation and estimation of rice crop production, required the data of spectral characteristics changing of the plants during its growth phase. By identifying spectral characteristics, it will be recognized the objects in the images. This study identifies the spectral characteristics of high-yielding varieties of rice plants during their growth in Malang regency. Based on the results of field survey, the high yielding varieties that are commonly planted consist of IR64, Ciherang and Membramo. Then, from the identification of vegetation index is known that all these three varieties have different growth patterns, where the most distinct pattern found in IR64.
Segmentasi Kendaraan Menggunakan Improve Blob Analysis (BA) Pada Video Lalu Lintas Sutrisno .; Imam Cholissodin; Rina Christanti; Candra Dewi; Nurul Hidayat
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 2, No 1: April 2015
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (996.895 KB) | DOI: 10.25126/jtiik.201521132

Abstract

AbstrakPenggunaan citra digital untuk keperluan penelitian sudah banyak dilakukan, salah satunya yaitu segmentasi. Segmentasi berfungsi untuk mendeteksi objek - objek yang terdapat pada citra, sehingga hasil segmentasi sangat penting untuk proses selanjutnya. Pada penelitian ini diusulkan teknik optimasi hasil background subtraction menggunakan kombinasi frame difference (FD) atau difference image dengan filter SDGD dan running average (RA) atau background updating dengan filter SDGD untuk diterapkan pada blob analysis. Alasan utama menggunakan penggabungan kedua metode tersebut adalah karena seringnya terdapat piksel objek yang tidak mampu dideteksi sehingga akan mengurangi tingkat optimasi pengenalan objek. Hasil pengujian akurasi dari 10 data uji yang masing – masing terdiri dari 30 frame menunjukkan bahwa aplikasi ini memiliki nilai akurasi tertinggi yakni 90% untuk pengujian threshold dan 100% untuk pengujian ukuran structure element. Sehingga dapat disimpulkan bahwa aplikasi ini mampu melakukan segmentasi kendaraan dengan baik.Kata kunci: filter SDGD, blob analysis, video lalu lintas, background subtraction.AbstractThe use of digital images for the purposes of research has been often applied, one of them is segmentation. Segmentation is used to detect objects contained in the image, so the segmentation result is very important for further processing. In this study, the results of the optimization technique proposed background subtraction using a combination of frame difference (FD) or a difference image with filter SDGD and running average (RA) or background updating with SDGD filter to be applied blob analysis. The main reason to use the merger of these two methods is that often there are pixels that are not able to detect objects that will reduce the level of optimization object recognition. The results of accuracy testing using 10 data testing for each data consisting of 30 frames shows that the system proposed in this paper has best accuracy of 90% for testing the threshold and 100% for testing the size of structure element. So it can be concluded that this system capable to segmentation the vehicle properly.Keywords: filter SDGD, blob analysis, traffic video, background subtraction
Prediksi Cuaca Pada Data Time Series Menggunakan Adaptive Neuro Fuzzy Inference System (ANFIS) Candra Dewi; Dany Primanita Kartikasari; Yusi Tyroni Mursityo
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1, No 1: April 2014
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.63 KB) | DOI: 10.25126/jtiik.201411100

Abstract

AbstrakInformasi mengenai kondisi atmosfer yang cepat,akurat, dan terperinci sangat diperlukan oleh berbagai sektor. Salah satumetode yang dapat digunakan untuk melakukan prediksi dan peramalan model yangkompleks dengan akurasi yang tinggi adalah Adaptive Neuro Fuzzy InferenceSystem (ANFIS). Dengankemampuan metode ini untuk melakukan prediksi dan peramalan, pada penelitianini dilakukan perbandingan kinerja dari kedua kemampuan ANFIS tersebut padadata time series cuaca berdasarkan parameter-parameter atmosfir yangmempengaruhinya.Padapenelitian ini, metode ANFIS baik untuk proses prediksi maupun peramalan diimplementasidengan struktur standar ANFIS yaitu lima layer. Namun pada proses peramalan dilakukan penggabungan dengan metode moving average untuk meramalkan nilai parameter input pada saat pengujian. Pengujian dilakukanpada data latih 40%, 50% dan 60% dari total data. Selain itu, pengujian jugadilakukan dengan mengelompokkan data berdasarkan musim, yaitu kemarau danpenghujan.Hasil ujicoba menunjukkan bahwa metode ANFIS cukup baik diterapkan untuk proses prediksijika tanpa pengelompokan data berdasarkan musim. Namun jika dilakukanpengelompokan berdasarkan musim, kemampuan ANFIS dalam melakukan peramalanmemiliki tingkat akurasi yang lebih tinggi dengan nilai error yang cukup rendah.Kata kunci: prediksi cuaca,peramalan cuaca, data time series, ANFISAbstractRapid and accurate information on the atmospheric conditions is required by the various sectors. One ofthe methods can be used to perform prediction and forecasting of complex modelwith high accuracy is AdaptiveNeuro Fuzzy Inference System(ANFIS).According to these two capabilitiesof ANFIS, this research is aimed to conduct comparison of accuracy on weathertime series data. This research implemented ANFIS using standard ANFISarchitecture that consists of five layers both to predict and to forecast theweather. However, the forecasting process combined ANFIS and moving averagemethod to forecast the input parameters were used at testing. This researchperformed learning process using 40%, 50% and 60% of total data. Beside, thelearning process also has been done on data was grouped into two groups basedon the season. The testing result showed ANFIS has better performance forprediction the data that were not grouped based on the season. However, ANFIShas better accuracy and lower error since the learning and testing were done onthe data that was grouped based on season.Keywords: weather prediction, weather forecasting,time series data, ANFIS
EFFECT OF USING E-BOOK BALANCING ECOSYSTEM BASED ON CHARACTER EDUCATION (RELIGIOUS VALUES) ON STUDENT LEARNING ACHIEVEMENT CANDRA DEWI
MUADDIB Jurnal Kependidikan dan Keislaman Vol. 11. No 1 (2021)
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/muaddib.v1i1.3833

Abstract

This study aims to determine the effect of using e-book balancing ecosystem based on character education (religious values) on student achievement. This study used experimental research methods and the design used was a quasi-experimental design using post test Only Control Design research. The sample to be used is 40 students of fifth grade Elementary School which are divided into two classes, namely the experimental class and the control class. The data collection techniques used were tests, documentation and observation. After conducting the research, it can be analyzed that the learning achievement scores of the two classes are higher in the experimental class than the control class. After testing the hypothesis (T-test), the results obtained are Tcount = 3,315 Ttable 1,686 then H0 is rejected and H1 is accepted. Thus, it can be concluded that the result of this study is that there is an effect of the use of the e-book on the balance of the ecosystem based on character education (religious values) on the learning achievement of elementary school students.
MENINGKATKAN KEMAMPUAN VOCATIONAL PENYANDANG MENTAL RETARDATION DI’KAMPUNG IDIOT’ DESA SIDOHARJO, KECAMATAN JAMBON, KABUPATEN PONOROGO MELALUI BUDIDAYA KROTO CANDRA DEWI
ADIMAS Jurnal Pengabdian Kepada Masyarakat Vol 1, No 2 (2017): September
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/adi.v1i2.602

Abstract

ABSTRACTLately a lot of people's attention focused on the empowerment of people who have both physical and psychological limitations. Attention is nothing but to help him in adjustments to face his life both in terms of communication, social relationships and to meet the needs of his life. The adaptive ability of people with metal retardation that they are trying to empower is their ability in vocational skills. This vocational skill is his ability in getting a job as a stock of his life. Developing vocational skills is not easy to require special ways in learning.Developing vocational skills by using economic empowerment in the environment of people who have mental retardation. Economic empowerment is done to improve the economic independence of people with mental retardation in idiot village, Sidoharjo village, Jambon district, Ponorogo district.The goal is to empower people who have mental retardation economically adjusted with its ability that is with cultivation Kroto. The method used is to conduct counseling and training directly to people with mental retardation accompanied by their accompanying cadres about economic empowerment with Kroto cultivation. Application of Kroto cultivation with two partners in Sidowayah hamlet, Sidoarjo village as a pilot. And Making ant colony nest. ABSTRAKAkhir-akhir ini banyak sekali perhatian masyarakat tertuju pada pemberdayaan orang yang memiliki keterbatasan baik fisik maupun psikisnya. Perhatian tersebut tidak lain untuk membantunya dalam penyesuaian menghadapi kehidupannya baik dalam hal komunikasi, melakukan hubungan sosial kemasyarakatan maupun untuk memenuhi kebutuhan hidupnya. Kemampuan adaptif orang dengan metal retardation yang di coba untuk diberdayakan adalah kemampuannya dalam ketrampilan vocational. Keterampilan vokasional ini merupakan kemampuannya dalam memperoleh pekerjaan sebagai bekal kehidupannya. Mengembangkan kemampuan vocationalnya tidaklah mudah diperlukan cara-cara khusus di dalam pembelajarannya.Mengembangkan kemampuan vocationalnya dengan menggunakan pemberdayaan ekonomi dalam lingkungan orang yang mempunyai mental retardation. Pemberdayaan ekonomi ini lakukan untuk meningkatkan kemandirian ekonomi orang dengan mental retardation di kampung idiot, desa Sidoharjo, kecamatan Jambon, kabupaten Ponorogo.Tujuan adalah Memberdayakan orang yang mengalami mental retardation secara ekonomi yang disesuaikan dengan kemampuannya yaitu dengan budidaya kroto.  Metode yang digunakan adalah mengadakan penyuluhan dan platihan langsung kepada orang dengan mental retardation yang di dampingi kader pendampingnya tentang pemberdayaan ekonomi dengan budidaya kroto. Aplikasi pelaksanaan budidaya kroto dengan dua mitra di dukuh Sidowayah, desa Sidoarjo sebagai percontohan. Dan Pembuatan sarang koloni semut.