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N. Novita
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Social Sciences

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Pendugaan Kualitas Fisik Biji Jagung untuk Bahan Pakan Menggunakan Jaringan Syaraf Tiruan Berdasarkan Data Citra Digital Adrizal Adrizal; D. Anggraini; N. Novita; Santosa Santosa; Andasuryani Andasuryani
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 13, No 3 (2011): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jpi.13.3.183-190.2011

Abstract

The Research intended to study the method of prediction of physical quality of corn kernel of feed stuff using Artificial Neural Network (ANN) based on variables of image data. The image data was used as input of ANN, and the character of corn kernel was the output. The variable of image were index red index, green index, blue index, hue, saturation, intensity, entropy, energy, contras, and homogeneity. The characteristic of corn were intact kernel, broken kernel, damage kernel and moldy kernel. There are two phase of application of ANN; training and validation. The training intend to calibrate the relationship between the image variable and corn kernel characteristics. The validation intend to examine the accuration of prediction. The result of research indicated that the intact kernel less accurate (70%) be predicted by image data, whereas broken kernel, damage kernel and moldy kernel can be predicted accurately (100%). The average of accuracy was 92.5 %. It was conclude that it was need to be improved the quality of image before processing the data to be input to the ANN.
Reporting Management Strategy Through Bookkeeping, Inventory, Official and Operational Vehicles, Riau Islands Provincial Government of Indonesia: Identification of William Dunn's Evaluation Indicators Putra, Rahmansyah; Muamar, Andi; Novita, N.
Golden Ratio of Data in Summary Vol. 6 No. 1 (2026): November - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v6i1.1778

Abstract

The relationship between bookkeeping, inventory and reporting systems of official and operational vehicles studied would be discussed through adaptation of qualitative approach as tiered research design supported by six evaluation indicators based on William Dunn, including effectiveness, efficiency, adequacy, equity, responsiveness, certainty and availability whose relevance to existing phenomenons in Riau Islands Province Regional Finance and Asset Board as sole locus of research. Meanwhile, focus on the problem statement related to phenomena that would be revealed, specifically the positive significance of evaluating the regional property administration in the Riau Islands Provincial Government, with a particular emphasis on the administration of official vehicles and operational service vehicles by the Riau Islands Province Regional Finance and Asset Board. The achievement of research targets, based on the evaluation of the administration of regional assets in the Riau Islands Provincial Government, focuses on the administration of official vehicles and operational service vehicles, supported by qualitative methods, descriptive analysis, and discussion of field observations, segmented from the perspective of field research by Miles and Huberman. The findings of this qualitative descriptive research add value for the Regional Finance and Asset Board of Riau Islands Province, as the implementer of sustainable public administration policies, and for the scientific community, in the implementation of William Dunn's empirical basis.
Co-Authors - Andasuryani D. Anggraini Muamar, Andi Putra, Rahmansyah Santosa Santosa