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All Journal al-Afkar, Journal For Islamic Studies Zonasi: Jurnal Sistem Informasi Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi
Khoerunisa
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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CAUSALITY RELATIONSHIP BETWEEN EXCHANGE RATE AND STOCK PRICE INDEX IN ASEAN-4 Khoerunisa
Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi Vol. 2 No. 1 (2021): Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi
Publisher : Faculty of Economics and Business, Universitas Negeri Jakarta

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

Abstract

This study aims to determine the causal relationship between the exchange rate and stock price index inASEAN-4 in 2012 to 2020. The four countries used in this study are countries in Southeast Asia which areincluded in the category of emerging market countries, namely Indonesia, Malaysia, thePhilippines, and Thailand. This study uses a quantitative method with a comparative causalapproach, through the technical analysis of Vector Autoregression (VAR) to determine whether or notthere is a causal relationship between the research variables. This study uses secondary data obtainedfrom publications from institutions. This study found that there is a one-way causality relationship anddoes not apply the opposite from the stock price index to the exchange rates in Indonesia, Malaysia, and thePhilippines in the long and short term. Meanwhile, there is a one-way relationship and does not applythe opposite from the exchange rate to the stock price index in Thailand in the long and short term.
The Influence of Class Management on the Learning Activities of Class V Students at SDN Jatibaru II Khoerunisa; Hinggil Permana; Ceceng Syarif Husein
al-Afkar, Journal For Islamic Studies Vol. 8 No. 1 (2025)
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/afkarjournal.v8i1.1355

Abstract

This research aims to determine the effect of classroo m manajement on the active learning of class V students at SDN Jatibaru II. This type of research uses quantitative methods using a correlational approach. The population in this study was students at SDN Jatibaru II with a total of 242 students and the sample used was 47 respondents. The measuring instruments used are instruments for collecting quantitative or statistical data. The data analysis techniques used are descriptive statistical data analysis and inferential statistical analysis. Based on data analysis techniques, class management is in the medium category and students’ active learning is in the medium category. It is said that class management has a positive learning of class V students at SDN Jatibaru II.
DETEKSI PENYAKIT BERCAK COKLAT, COKLAT SEMPIT DAN HAWAR MELALUI SPEKTRUM WARNA CITRA DIGITAL DAUN PADI MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK cipta, rito; Khoerunisa; Saraswati, Nurul Mega Saraswati; Rizki Noor Prasetyono; M. Zidan Alfariki
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 2 (2023): Publication Periodic ZONAsi: Jurnal Sistem Informasi.
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i2.13245

Abstract

Rice is a prominent food crop commodity and has high potential in the agricultural sector, where rice is a staple food source for Indonesian people. This rice plant certainly has several obstacles, one of which is the presence of rice plant disease attacks through rice leaf spot which can cause crop failure, causing farmers to experience many losses and resulting in poor crop quality, namely empty or empty rice. The long identification process and if the treatment for this disease is very slow will cause the cost of treatment to swell. The use of digital image processing technology in solving problems in this study is to identify rice diseases through digital images based on the morphology of rice leaf spots. One way is by image classification or object classification in the image. The method that can be used in classifying this image is the Convolutional Neural Network (CNN). The accuracy obtained from the Convolutional Neural Network method is based on the 2 types of architecture used, namely the Letnet-5 architecture produces an accuracy of 85% and the Custom architecture produces an accuracy of 90%.
Co-Authors Ceceng Syarif Husein Hinggil Permana M. Zidan Alfariki Rito Cipta sigitta Hariyono Rizki Noor Prasetyono Saraswati, Nurul Mega Saraswati