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All Journal al-Uqud : Journal of Islamic Economics JISA (Jurnal Informatika dan Sains) JIMAKUKERTA Economic: Journal Economic and Business
Andini, Novia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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KONTRIBUSI MAHASISWA KAMPUS MENGAJAR 5 DALAM MENJALANKAN PROGRAM KERJA SDN 99 SELUMA Andini, Novia; Ranidiah, Furqonti; Khair, Ummul; Astuti, Budi; Ade Fitri, Marliza; Lisdayanti, Septina
Jurnal Ilmiah Mahasiswa Kuliah Kerja Nyata (JIMAKUKERTA) Vol. 4 No. 1 (2024): JIMAKUKERTA
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Muhammadiyah Bengkulu

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

Abstract

Program kampus mengajar angkatan 5 ini merupakan bagian dari program kampus merdeka yang melibatkan mahasiswa diseluruh indonesia untuk membantu proses belajar mengajar disekolah, khususnya untuk jenjang SD, kampus mengajar juga memberikan kesempatan kepada mahasiswa untuk belajar diluar kampus selama empat bulan. Pada program ini, mahasiswa yang terlibat memiliki tanggungjawab dalam membantu pihak sekolah pada proses mengajar, membantu adaptasi teknologi, membantu administrasi sekolah dan membantu meningkatkan pemahamaman literasi dan numerasi siswa. Dimana yang kita ketahui bahwa kemampuan literasi dan numerasi peserta didik di indonesia masih kurang atau cukup rendah. Salah satu cara untuk meningkatkan kemampuan literasi dan numerasi peserta didik adalah dengan menerapkan model pembelajaran yang dapat menunjang pengembangan kemampuan peserta didik atau yang biasa disebut dengan menggunakan belajar les tambahan atau (calistung). Penelitian ini berupaya untuk mengetahui peran kampus mengajar dalam peningkatan literasi dan numerasi peserta didik dalam program calistung untuk meningkatkan mutu pendidikan di indonesia. Jenis penelitian yang saya ambil ini adalah kualitatif deskriptif. Penelitian ini dilakukan selama empat bulan dan lokasi penelitian ini dilakukan di SD Negeri 99 Seluma, Kabupaten Seluma, Provinsi Bengkulu. Alat untuk mengumpulkan data ini menggunakan cara observasi,wawancara dan dokumentasi. Oleh karena itu dapat disimpulkan bahwa kampus mengajar memiliki peran penting dan sukses menjadi agen perubahan dalam pendidikan yang dibantu oleh mahasiswa dan didukung oleh pihak sekolah dan peserta didik.
Unveiling the links: How poverty, unemployment, education, and income inequality drive crime in Indonesia? Kurniasih, Erni Panca; Andini, Novia; Kartika, Metasari; Dosinta, Nina Febriana; Hamsyi, Nur Fitriana; Iqbal, Ichsan
al-Uqud : Journal of Islamic Economics Vol. 8 No. 2 (2024): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/al-uqud.v8n2.p189-210

Abstract

Despite a general decline in crime rates in Indonesia, the rising trends in poverty, unemployment, and income inequality in several provinces raise concerns about their potential to incite criminal behavior and escalate crime rates. This study aims to empirically examine the effects of poverty, unemployment, education, and income inequality on crime rates in Indonesia. Utilizing secondary data from the Central Statistics Agency (BPS), the study analyzes a panel dataset comprising 32 provinces over five years through panel data regression techniques. The findings reveal that poverty and unemployment have a significant and positive impact on crime rates, highlighting their critical roles as socioeconomic determinants of criminal activity. In contrast, education levels and income inequality do not exhibit significant effects on crime rates in the Indonesian context. Theoretically, these findings underscore the relevance of economic and social strain theories, which suggest that socioeconomic hardships contribute to deviant behavior as individuals seek alternative means to meet unmet needs. Practically, the study emphasizes the need for targeted poverty alleviation programs and effective unemployment reduction strategies to mitigate crime rates. Policymakers should focus on creating sustainable economic opportunities and strengthening social safety nets in vulnerable regions. This research contributes to the broader discourse on crime prevention by providing insights into the socioeconomic drivers of crime in a developing country context, guiding future strategies to foster social stability and security.
The influence of non-performing loans (NPL), loan to deposit ratio (LDR), return on assets (ROA), and capital adequacy ratio (CAR) on credit growth in commercial banks in Indonesia Andini, Novia; Malini, Helma; Giriati, Giriati
Economic: Journal Economic and Business Vol. 5 No. 1 (2026): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v5i1.1374

Abstract

This study aims to examine the influence of Non-Performing Loans (NPL), Loan to Deposit Ratio (LDR), Return on Assets (ROA), and Capital Adequacy Ratio (CAR) on credit growth in Conventional Commercial Banks in Indonesia during the 2020–2024 period. The background of this study is based on the inconsistency of previous research findings regarding internal banking factors that influence credit growth, as well as the limited empirical studies that specifically examine the post-COVID-19 pandemic period. This study uses a panel data regression method with a Fixed Effect Model (FEM) approach and involves conventional commercial banks as research objects for a five-year observation period. The results show that partially Non-Performing Loans (NPL) have a negative and significant effect on credit growth, while the Loan to Deposit Ratio (LDR) and Return on Assets (ROA) have a positive and significant effect on credit growth. Meanwhile, the Capital Adequacy Ratio (CAR) does not show a significant effect on credit growth. Simultaneously, these four variables are proven to have a significant effect on credit growth. This finding indicates that banking credit growth is more influenced by the level of credit risk, liquidity, and profitability than by capital adequacy factors.
Climate Prediction Using RNN LSTM to Estimate Agricultural Products Based on Koppen Classification Andini, Novia; Utomo, Wiranto Herry
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.911

Abstract

The yield of an agricultural process is very important and influential, where the harvest is used as a support for human life both as food and a source of income. Many factors can influence the success of agriculture, such as the climate that is going on around in the surrounding area. The wrong prediction in determining the future climate will cause crop failure due to incompatibility with the type of plant. In this era, many technologies have been able to predict climate, one of which is technology machine learning that has many types and techniques, which machine learning technology has been widely used in predicting many things. This study aims to predict the climate in an area which is intended to determine crop yields based on the Koppen classification, and also the prediction based on several parameters such as temperature, humidity, duration of sun exposure and rainfall. And the results of this study is have a loss of 0.006 and with the MAPE value as an indicator of the percentage error and as an indicator for determining the accuracy of the prediction results, which is 3.29%, which means that it is included in the very accurate category in predicting climate to estimate agricultural yields.
Co-Authors Ade Fitri, Marliza Budi Astuti Erni Panca Kurniasih Giriati, Giriati Hamsyi, Nur Fitriana Helma Malini, Helma Iqbal, Ichsan Lisdayanti, Septina Metasari Kartika, Metasari Nina Febriana Dosinta Ranidiah, Furqonti Ummul Khair Wiranto Herry Utomo