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All Journal Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan JURNAL AGRONIDA Media Jurnal Informatika Algoritme Jurnal Mahasiswa Teknik Informatika Journal of Mathematics UNP

Dina Agustina

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Author-ID : 3542596

Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics

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Articles

Identifikasi Kadar Ikan Pada Pempek Menggunakan Fitur LBP Dengan Metode Jaringan Syaraf Tiruan Dina Agustina; Gasim Gasim
Jurnal Algoritme Vol 2 No 2 (2022): Jurnal Algoritme
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Pempek merupakan makanan khas Palembang yang terbuat dari campuran ikan giling, tepung, dan bumbu-bumbu penambah cita rasa dan dibuat dengan berbagai bentuk. Perbandingan karakteristik yang terdapat pada pempek selain dapat diketahui oleh orang awam melalui rasa dan tekstur kekenyalan pempek dapat juga diketahui dengan menggunakan teknologi seperti media kecerdasan buatan. Ada 4 jenis perbandingan yang ada pada pempek diantaranya adalah 1 ikan 1 tepung, 1,5 ikan 1 tepung, 2 ikan 1 tepung, dan 1 ikan 2 tepung, dengan resolusi kamera 2MP dan jarak pengambilan citra ±15cm. penelitian ini bertujuan untuk mengimplementasikan suatu sistem yang mampu mengidentifikasi kadar ikan pada pempek, dengan menerapkan Local Binary Pattern (LBP) sebagai ekstraksi fitur dan metode Jaringan Syaraf Tiruan (JST). Hasil dari ekstraksi LBP dijadikan masukan pada proses pembelajaran pada JST dengan training function traingdx serta menggunakan 40 neuron. Berdasarkan hasil pengujian menggunakan ekstraksi fitur LBP memperoleh tingkat akurasi sebesar 31,67% dan jumlah pengenalan data uji sebanyak 76 dari 240 data uji.

Application of Augmented Reality Technology for Human Excretion System as Android-Based Learning Media Mohamad Kany Legiawan; Dina Agustina
Media Jurnal Informatika Vol 13, No 1 (2021): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v13i1.1488

The excretion system is a process of removing metabolic waste that is no longer used by the body. These remnants of metabolism in the form of compounds that are toxic (poison) so that if not removed can cause disruption of the function of organs in the body. Organs that play a role in the excretion system are the kidneys, lungs, skin and liver. Kidney is the main component making up the human excretion system, namely urine. The lungs produce residual respiratory processes in the form of gas CO2 (carbon dioxide) and H2O (water vapor). The skin is able to produce residual substances in the form of sweat. The liver produces waste products in the form of bile sap from an overhaul of red blood cells that have been damaged and destroyed in the spleen. Augmented Reality Human Excretion System is an application that can facilitate teachers and class XI MA Tanwiriyyah students in learning about the human excretion system. This application is made based on Android by applying augmented reality technology in its implementation. In this application the teacher and students can see 3D objects and know the process of removing residual substances in the excretory system organs. The design of this application uses the MDLC method and also uses UML diagrams, navigation structures and application interface design.

Test of Various Carrier Materials Against Viability and Conidia Density in Some Liquid Biopesticides of Entomopathogenic Fungi Unun Triasih; dina agustina; mutia erti dwiastuti; susi wuryantini
JURNAL AGRONIDA Vol. 5 No. 1 (2019)
Publisher : Universitas Djuanda Bogor

Indonesia is a country that has a large biological diversity but has not been fully utilized for agriculture. The effectiveness of biological agents in controlling pests and plant diseases still needs further investigation, one of which is the use of entomopathogenic fungi as biopesticides. The purpose of this study was to determine the effect of storage on the viability and density of conidia in several entomopathogenic fungi; Beauveria bassiana, Metarhizium anisopliae, Paecilomyces. This study used 5 entomopathogenic fungi isolates, 2 Beauveria bassiana isolates (JBG and JBR), 2 Metarhizium anisopliae isolates (JBG and UST), 1 Paecilomyces. Biopesticide carrier material consisted of 6 carrier materials, namely soybean decoction waste, soy washing waste, Potato Dextrose Agar, tapioca waste, rice waste, rice washing waste and coconut water. Biopesticides have been made one year before and the viability and complexity of the conidia is re-examined one year later. From the observations of conidial density, the best was found in Beauveria bassiana JBG liquid biopesticide of 4.8 x 10 x conidia / ml from the initial density of 3.4 x 10⁸ / ml in the soybean decoction (RK) carrier material. The highest viability was found in JBG Metharizium anisopliae on soybean washing waste material by 14%. Key words: Conidia viability, conidial density, entomopathogenic fungi

Potential of Antagonistic Fungi in Inhibiting the Growth of Botryodiplodia theobromae Fungi Causes Stem Rot Disease in Citrus Dina Agustina; unun triasih; mutia erti dwiastuti; rudi cahyo wicaksono
JURNAL AGRONIDA Vol. 5 No. 1 (2019)
Publisher : Universitas Djuanda Bogor

Soil microorganisms such as Trichoderma asperellum and Gliocladium sp have the potential to become biological control agents in inhibiting the growth of fungi Botryodiplodia theobrome which causes stem rot disease in citrus plants. The purpose of this study was to determine the potential of T.asperellum and Gliocladium sp fungi in inhibiting the growth of B. theobrome fungus causing stem end rot disease in citrus plants. The antagonistic test was carried out using the dual culture method using PDA media; observations were made on the growth of pathogenic fungi and antagonistic fungi to measure their inhibitory power. The results of the observation and calculation of the fungal growth rate were analyzed using the T test with a level of 5%. The pathogen fungal growth rate in the antagonistic test was slower than control and inhibition of B. theobrome by T.asperellum and Gliocladium sp were respectively at 78.67% and 84.56%. The mechanism of the two antagonistic fungi has the nature of competition and parasitism because of the broader inhibition spectrum than the pathogenic fungi. Keywords: Botryodiplodia theobromae, Trichoderma asperellum, Gliocladium sp, antagonistic test.

Aplikasi Machine Learning Untuk Forecasting Nilai Overall Equipment Effectiveness Pada Industri Manufaktur Aufatus Syakira Mardhatillah; Dina Agustina
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14283

Manufacturing productivity is determined by machine performance. The problem that occurs in production machines is the occurrence of downtime so that the machine does not work optimally. One of the engine performance indicators is OEE. forecasting of the OEE value is needed so that manufactures can take action so they can maintain engine performance. The purpose of this research was to see the results of forecasting OEE value with machine learning linear regression algorithms and see the value of model evaluation with MAPE. The results of the study using training data and testing data obtained a multiple regression model with the variable y is OEE, the intercept coefficient is , and slope coefficient of the availability and performance variables is and . The model evaluation results are in the range<10%, meaning that the accuracy results had excellent forecasting model.

Aplikasi Machine Learning dalam Prediksi Harga Saham Jakarta Islamic Index (JII) Menggunakan Metode Support Vector Regression Lala Nur Faiza; Dina Agustina
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15110

Investment is the process of allocating money into an asset with the goal of generating future profits. Investing in stocks generates higher returns but has a high risk as well. Therefore, the fluctuations in stock prices are very important so that investors need to analyze stock prices when making an investment. This study aims to apply machine learning in stock price prediction using the Support Vector Regression (SVR) method. JII stock data for the months of December 2021 to November 2022 were used in this study. Predicting stock prices is one of the processes in this research's data analysis processusing the Support Vector Regression (SVR) and then using RMSE to evaluate the model. The conclusions of this study indicate that SVR can be implemented as a method for predicting stock prices with the smallestRMSE values for ANTM, BRIS, and BRPT shares of0.0004.

IDENTITAS PROFESIONAL GURU BIMBINGAN DAN KONSELING SEBAGAI PENDIDIK Riesa Siddik; Tiara Agustine; Dona Fitri Annisa; Dina Agustina
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 15, No 3 (2024): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v15i3.24190

Abstrak: Penelitian ini bertujuan untuk mengetahui identitas professional guru bimbingan dan konseling di kabupateb Bandung Barat. Penelitian ini merupakan penelitian survei dengan pendekatan deskriptif kuantitatif. Populasi dalam penelitian ini adalah guru bimbingan dan konseling di Kabupaten Bandung Barat yang berjumlah 40 orang. Penelitian ini tidak menggunakan sampel. Instrumen yang digunakan adalah model skala likert. Teknik analisis data menggunakan deskriptif persentase. Hasil penelitian ini menunjukan bahwa guru bimbingan dan konseling di kabupaten Bandung Barat mayoritas berada pada tingkat moratorium sebesar 58%, tingkat diffuse identity sebesar 18%, dan achieved mature identity sebesar 25%. Pada setiap aspeknya, sebagian besar berada pada tingkat moratorium yaitu diatas 53%.Abstract: This study aims to determine the professional identity of guidance and counseling teachers in West Bandung district. This research is a survey research with quantitative descriptive approach. The population in this study were 40 guidance and counseling teachers in West Bandung Regency. This study did not use a sample. The instrument used is a Likert scale model. Descriptive percentage data analysis technique. The results of this study indicate that the majority of guidance and counseling teachers in West Bandung Regency are at the moratorium level by 58%, the diffuse identity level by 18%, and the achieved mature identity by 25%. In each aspect, most are at the moratorium level, which is above 58%.

Co-Authors Aufatus Syakira Mardhatillah Dona Fitri Annisa Gasim Lala Nur Faiza Legiawan, Mohamad Kany Mutia Erti Dwiastuti Riesa Siddik Rudi Cahyo Wicaksono Susi Wuryantini Tiara Agustine Unun Triasih

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