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All Journal Jurnal Fitopatologi Indonesia Media Statistika El-Hayah : Jurnal Biologi Suluh Pembangunan: Journal of Extension and Development Kubik BAREKENG: Jurnal Ilmu Matematika dan Terapan KUBIK: Jurnal Publikasi Ilmiah Matematika Mathematics and Applications (MAp) Journal Algoritme Jurnal Mahasiswa Teknik Informatika Journal of Mathematics UNP Journal of Artificial Intelligence and Digital Business Tanjungpura Journal of Coaching Research Mathematical Journal of Modelling and Forecasting
Dina Agustina, Dina
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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IDENTIFICATION OF VESICULAR ARBUSCULAR MYCORRHIZA (VAM) FROM SOIL AND ITS POTENCY IN REDUCING DISEASE DEVELOPMENT (Phytophthora sp.) ON 5 CITRUS ROOTSTOCK Dwiastuti, Mutia Erti; Widyaningsih, Sri; Wicaksono, Rudi Cahyo; Agustina, Dina; Triasih, Unun
El-Hayah : Jurnal Biologi Vol 7, No 2 (2019): EL-HAYAH (VOL 7, NO 2 Maret 2019)
Publisher : Department of Biology Science and Technology Faculty UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/elha.v7i2.8426

Abstract

Phytophthora spp. is one of the fungal pathogens that kills plants on several kinds of the citrus rootstock. In other countries, it is reported that disease pathogens were reduced in roots containing Vesicular Arbuscular Mycorrhiza (VAM interaction). However, in Indonesia, there is less information about the effect of VAM on the roots of citrus plants against root disease caused by Phytophthora sp. This study aimed to identify VAM in citrus roots and study the potential of VAM in controlling root rot of Phytophthora sp. on five types of the citrus rootstock. The research was carried out at the Phytopathology Laboratory, Indonesian Citrus, and Subtropical Fruits Research Institute (ICSFRI). Phytophthora spp. and VAM samples originated from several citrus centers endemic to Phytophthora were collected. VAM was isolated from the rhizosphere area of citrus plants, while Phytophthora sp. was isolated from infected plant roots. The fungus isolates were isolated, purified, then identified through references. The test of the potential of VAM in increasing resistance of root diseases caused by Phytophthora sp. was performed at the screen house in ICSFRI. The results of the study showed that VAM was identified in 39 gardens in 6 districts from samples collected in 49 yards in 10 regions of citrus centers. The dominant VAM genus is Glomus sp. with the highest density of spores was originated from Ponorogo area. The results of the identification of Phytophthora morphologically showed a diversity of Phytophthora, namely P. parasitica, P. palmivora, and P. citrophthora. The test of the potential of VAM in increasing plant resistance to Phytophthora results showed that Kanci, JC, RL, and Volkameriana varieties inoculated with Phytophthora sp. and Glomus sp. have higher plant height than healthy plants.
ESTIMASI HARGA OPSI BELI TIPE EROPA MENGGUNAKAN EKSPANSI GRAM-CHARLIER PADA SAHAM LUAR NEGERI Agustina, Dina; Zulfa, Femilya Sri
MAp (Mathematics and Applications) Journal Vol 3, No 2 (2021)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.929 KB) | DOI: 10.15548/map.v3i2.3296

Abstract

Model Black-Scholes merupakan salah satu model untuk menentukan harga opsi tipe Eropa dengan asumsi return dari saham harus berdistribusi normal. Pada kenyataannya return saham tidak mengikuti bentuk distribusi normal, dimana artinya skewness dan kurtosis saham tidak sama dengan 0 dan 3. Untuk mengatasi ketidaknormalan dari return saham dilakukan modifikasi model Black-Scholes dengan ekspansi Gram-Charlier dengan pendekatan polynomial untuk mengatasi bentuk data yang tidak berdistribusi normal. Harga opsi dengan ekspansi Gram-Charlier dipengaruhi oleh beberapa faktor yakni harga saham awal (), harga kontrak (), tingkat suku bunga bebas risiko (), waktu jatuh tempo (), volatilitas ( ), skewness dan kurtosis. Hasil dari studi menunjukkan bahwa dengan penentuan harga opsi dengan menggunakan metode Gram-Charlier sedikit lebih mendekati harga pasar dari pada menggunakan model Black-Scholes.Kata Kunci: Call option, Black-Scholes, Ekspansi Gram-Charlier, polinomial Hermite, kurtosis
PREDICTION OF FOREST FIRE USING NEURAL NETWORKS WITH BACKPROPAGATION LEARNING AND EXREME LEARNING MACHINE APPROACH USING METEOROLOGICAL AND WEATHER INDEX VARIABLES Rosadi, Dedi; Arisanty, Deasy; Agustina, Dina
MEDIA STATISTIKA Vol 14, No 2 (2021): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.14.2.118-124

Abstract

Forest fire is one of important catastrophic events and have great impact on environment, infrastructure and human life. In this study, we discuss the method for prediction of the size of the forest fire using the hybrid approach between Fuzzy-C-Means clustering (FCM) and Neural Networks (NN) classification with backpropagation learning and extreme learning machine approach. For comparison purpose, we consider a similar hybrid approach, i.e., FCM with the classical Support Vector Machine (SVM) classification approach. In the empirical study, we apply the considered methods using several meteorological and Forest Weather Index (FWI) variables. We found that the best approach will be obtained using hybrid FCM-SVM for data training, where the best performance obtains for hybrid FCM-NN-backpropagation for data testing.
Faktor Faktor yang Berpengaruh terhadap Motivasi Petani Kedelai di Kabupaten Tasikmalaya Nuraini, Candra; Agustina, Dina; Noormansyah, Zulfikar
Suluh Pembangunan : Journal of Extension and Development Vol 3 No 01 (2021): Suluh Pembangunan : Journal of Extension and Development
Publisher : Fakultas Pertanian, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsp.Vol3.No1.2021.125

Abstract

Tujuan penelitian ini adalah menganalisis faktor yang berpengaruh terhadap motivasi petani kedelai. Penelitian menggunakan metode survey dengan penentuan lokasi dilakukan secara purposive di Kabupaten Tasikmalaya. Kabupaten Tasikmalaya dipilih dengan pertambangan sebagai sentra kedelai diwilayah Priangan Timur, Provinsi Jawa Barat. Penelitian dilaksanakan pada September dan Oktober 2021. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi berganda dengan software SPSS. Berdasarkan hasil penelitian didapatkan bahwa faktor-faktor pengalaman, pendidikan, taggungan keluarga, luas lahan dan agroekosistem berpengaruh secara simultan terhadap motivasi petani kedelai. Sedangkan secara partial yang berpengaruh secara signifikan adalah pendidikan, pengalaman dan tanggungan keluarga. Varibel luas lahan dan agroekosistem tidak berpengaruh terhadap motivasi petani kedelai.
Characterization of Soil Rhizospheric Fungi on Citrus Plantation and Their Potential to Inhibiting the Growth of Botryodiplodia theobromae and Colletotrichum gloeosporioides Triasih, Unun; Wuryantini, Susi; Agustina, Dina
Jurnal Fitopatologi Indonesia Vol 18 No 5 (2022): September 2022
Publisher : The Indonesian Phytopathological Society (Perhimpunan Fitopatologi Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14692/jfi.18.5.205-212

Abstract

Tanah rizosfer di sekitar akar tanaman jeruk mempunyai mikroorganisme salah satunya ialah cendawan. Tujuan penelitian ialah mengidentifikasi cendawan rizosfer kebun jeruk siam pontianak organik serta potensinya dalam menghambat pertumbuhan cendawan patogen Botryodiplodia theobromae dan Colletotrichum gloeosporioides. Karakterisasi cendawan dilakukan dengan mengevaluasi pertumbuhannya pada suhu, kelembapan, dan tingkat pH yang berbeda, selanjutnya dilakukan uji antagonis terhadap C. gloeosporioides dan B. theobromae. Cendawan yang diperoleh dari rizosfer pertanian organik jeruk siam pontianak ialah Fusarium sp., Fusidium sp., Penicillium sp., dan Trichoderma sp. Seluruh cendawan rizosfer tumbuh optimal pada pH 4.5–5.5, suhu 20–30 ℃, dan kelembapan 60–80%. Cendawan Penicillium sp. mempunyai kemampuan tertinggi menghambat per-tumbuhan C. gloeosporioides (83.66%), sedangkan Trichoderma sp. mampu menghambat pertumbuhan patogen B. theobromae optimal (92.04%). Studi lebih lanjut diperlukan sebelum pengaplikasian isolat cendawan yang diperoleh sebagai agens biokontrol C. gloeosporioides and B. theobromae.
Aplikasi Machine Learning dalam Prediksi Harga Saham Jakarta Islamic Index (JII) Menggunakan Metode Support Vector Regression Faiza, Lala Nur; Agustina, Dina
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

Abstract

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.
Proprioceptive neuromuscular facilitation (PNF) stretching in futsal sport: How does it affect recovery pulse rate after high intensity interval training? Haidar, Muhammad Daffa; Dewantara, Julian; Eken, Özgür; Stojanović, Stefan; Agustina, Dina; Nugroho, Sigit; Sumaryanti, Sumaryanti
Tanjungpura Journal of Coaching Research Vol 2, No 1 (2024): Tanjungpura Journal of Coaching Research
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/tajor.v2i1.77617

Abstract

Background and Study Aim. During exercise, the work of the heart will be controlled by sympathetic nerves that will regulate the frequency of heart rate through the depolarization effect. Faster changes in depolarization effects can affect action potentials that become more frequent, so that the heart rate will increase. Stretching serves to improve blood flow and circulation, so it can help in lowering the pulse rate. This study aims to determine the effectiveness of PNF stretching on pulse rate recovery after doing HIIT on futsal players.Material and Methods. This research is an experimental research with the design of this research is control group pretest-posttest consisting of 20 people with sampling technique using population sampling. They were divided by ordinal pairing into two groups, namely the PNF stretching group and the control group. The PNF stretching group underwent PNF stretching session after HIIT session, while the control group only did HIIT session without PNF stretching. Recovery pulse rate was measured before and after the HIIT session, as well as after the PNF stretching intervention or rest period for the control group. Analysis was assisted using SPSS 26.Results. The results showed a significant decrease in recovery pulse rate in the experimental group with an average pretest value of 75.6, posttest 86.8 (p=0.000) with an effectiveness value of 85.8%. The control group showed a less significant decrease in recovery pulse rate, with an average pretest value of 75.2, posttest 76.8 (p=0.104) with an effectiveness value of 75.8%.Conclusion. So that this research is expected to serve as material for consideration, reference, and knowledge for parties related to the world of sports and health science, especially the effectiveness of Proprioceptive Neuromuscular Facilitation (PNF) stretching on pulse recovery after doing High Intensity Interval Training (HIIT).
Metode Munich Chain Ladder dalam Menghitung Cadangan Klaim Firenz, Berliana Permata; Agustina, Dina
KUBIK Vol 9, No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.33278

Abstract

Asuransi adalah produk keuangan yang memberikan perlindungan terhadap potensi kerugian keuangan dengan cara memindahkan risiko kerugian keuangan dari individu ke perusahaan asuransi. Pada asuransi terdapat istilah cadangan klaim, yaitu dana yang harus disiapkan oleh perusahaan asuransi di masa mendatang untuk menyelesaikan pembayaran klaim yang telah terjadi. Umumnya, dalam menentukan besarnya cadangan klaim, perusahaan asuransi menggunakan metode Chain Ladder. Pada penelitian ini digunakan modifikasi dari metode Chain Ladder, yaitu metode Munich Chain Ladder. Metode ini membantu perusahaan asuransi mengestimasi bagaimana klaim akan berkembang seiring waktu, sehingga mereka dapat menyiapkan cadangan yang tepat. Penelitian ini bertujuan untuk mengetahui tahapan perhitungan cadangan klaim serta mengetahui hasil selisih estimasi cadangan klaim yang dibayarkan dan klaim yang ditanggung pada studi kasus asuransi kendaraan bermotor di perusahaan asuransi X menggunakan metode Chain Ladder dan metode Munich Chain Ladder. Berdasarkan hasil perhitungan menggunakan Chain Ladder diperoleh gap sebesar Rp 26.034.501.350, sedangkan menggunakan Munich Chain Ladder diperoleh gap sebesar Rp 21.567.539.369. Oleh karena itu, metode Munich Chain Ladder terbukti lebih efisien dalam memproyeksikan cadangan klaim, karena memungkinkan perusahaan asuransi untuk mengalokasikan dana cadangan klaim yang lebih kecil, sehingga sisa dana dapat dialokasikan untuk tujuan lain.
Policies and obligation of women athletes clothing at international sports events: A literature study Agustina, Dina; Rismayanthi, Cerika; Sumaryanti, Sumaryanti; Yuniana, Rina; Nugroho, Sigit; Haidar, Muhammad Daffa; Wang, Ziyu; Murgolo, Michael
Tanjungpura Journal of Coaching Research Vol 2, No 3 (2024): Tanjungpura Journal of Coaching Research
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/tajor.v2i3.80906

Abstract

Background and Study Aim. The participation of female athletes in a sporting event in each country is very minimal compared to men, basically the State policy has not fully allowed female athletes to wear the hijab. Hijab is familiar to Muslim women but on the other hand the policies of their respective countries do not support Muslim women participating in a sporting event by wearing hijab. This study aims to explore the involvement of Muslim women who wear hijab in international sporting eventsMaterial and Methods. This research used Harzing Publish or Perish to start the search, Scopus database was used, which is considered as one of the best citation indexing tools. The criteria used the PRISMA protocol (preferred reporting items for systematic reviews and meta-analyses). The keywords of this research are (“Muslimah” AND “Sportswear” AND “Women's Participation” OR “Women in Sports”). Based on these results, only 7 journal articles were used in the systematic literature review in this study.Results. The result of this study is that the gradual increase in the number of female Olympians obscures the reality that a woman's opportunity to participate and compete in sports. It can be seen that in several countries there has been an increase in the number of Muslim female athletes participating in championships in the international arena, but the policies given have not allowed female athletes in all sports to cover the aurat or wear the hijab, the obligation of a Muslim is to cover the aurat, which in principle between policies and obligations become two things that intersect.Conclusion. In conclusion, despite a noticeable increase in the number of Muslim female athletes participating in international championships, policy limitations still prevent female athletes in some sports from covering their aurat or wearing the jilbab.
Variance and Semi-Variance with a Multi-Objective Approach Using the Spiral Optimization Method Sri Zulfa, Femilya; Agustina, Dina
Mathematical Journal of Modelling and Forecasting Vol. 2 No. 2 (2024): December 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v2i2.30

Abstract

In minimizing the risk faced by investors while maximizing returns, it is necessary to study different risk measures for portfolio optimization, namely mean-variance, and semi-variance, so that it can provide a deeper understanding of how each approach works in various market conditions. The mean-variance approach measures risk based on the total variance of portfolio returns. While the semi-variance approach only focuses on downside risk, which is the risk of loss that is more relevant to investors who tend to be conservative. By comparing these two risk measures, investors can understand the trade-offs in choosing a portfolio management strategy. To conduct a study on portfolio optimization, the author uses a multi-objective optimization approach on the mean-variance and semi-variance models, which will be solved with a spiral model. The results of this study are that the spiral model with a simple case that does not involve high dimensions can be solved quickly. However, for high dimensions with significant maximum spread points and iterations, the algorithm in this Matlab programming runs slowly, so it is ineffective in computation. This spiral method is suspected of having several solutions trapped in local minima, or the results obtained have not converged, so the resulting Pareto front is not optimal.
Co-Authors Abdul Rahman Andi Atssam Mappanyukki Candra Nuraini, Candra Cerika Rismayanthi Christina Fajar Sriwahyuniati Deasy Arisanty Dedi Rosadi Dewantara, Julian Eken, Özgür Faiza, Lala Nur Fatkurahman Arjuna Firenz, Berliana Permata gasim, Gasim Gusti, Syafta Elita Haidar, Muhammad Daffa Jannah, Ro'i Khatul Lathifah, Lathifah Murgolo, Michael Mutia Erti DWIASTUTI Purwaningrum, Dyah Ayu Sekar Kinasih Rina Yuniana Sigit Nugroho Sri Widyaningsih Sri Zulfa, Femilya Stojanović, Stefan Suharjana . Sumaryanti Sumaryanti Susi Wuryantini, Susi Syofiatul Safitri Szczepocki, Matthew Triasih, Unun Wang, Ziyu wicaksono, rudi cahyo Zulfa, Femilya Sri Zulfikar Noormansyah zulnadila, zulnadila