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Exploring determinants of Indonesia's financial inclusion level: Based on 2017 Global Findex data Susilowati, Indah; Fikri, Muhammad Kanzul; Sari, Devy Mayang; Razak, Abdul; Khasanah, Uswatun; Djatayu, Mentari Anggun; Suciati, Ika
Jurnal Ekonomi dan Bisnis Vol. 27 No. 1 (2024)
Publisher : Fakultas Ekonomika dan Bisnis Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24914/jeb.v27i1.10941

Abstract

This research aims to analyze the influence of income level, education level, gender, and age level on the three main indicators of financial inclusion, namely the probability of having an account at a formal financial institution, the probability of saving at a formal financial institution, and the probability of borrowing from a formal financial institution in Indonesia on 2017. Data was obtained from Global Findex 2017 using a purposive sampling method. This research uses a logistic regression analysis method with an assisted logit estimation model using Stata 16 software. The research results show that when estimating the probability of account ownership levels at formal financial institutions, only the variable gender shows insignificant results. In contrast, the other variables show significant negative values. In the model for estimating the probability of saving at formal financial institutions, two variables are not significant, namely age and gender, while other variables show significant negative results. Finally, on the probability of borrowing from formal financial institutions, only the basic education level variable shows significant negative results, while the other variables show insignificant results. The implications of this research provide insight into income, education, gender, and age and their impact on financial inclusion.
Analisis Bibliometrik Tentang Pengaruh Studi Akuntansi Di Lingkup Sumberdaya Perikanan Djatayu, Mentari Anggun; Susilowati, Indah
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 11 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v4i11.2919

Abstract

Analisis bibliometrik adalah metode evaluasi kuantitatif untuk penelitian ilmiah yang bertujuan untuk mengukur pengetahuan yang dinyatakan sebagai publikasi ilmiah dalam bidang tertentu. Penelitian ini mengusulkan untuk menganalisis produksi ilmiah di seluruh dunia tentang pengaruh akuntansi di lingkup perikanan melalui enam indikator bibliometrik: trend waktu, distribusi geografis, penulis dan publikasi yang relevan, dan kata kunci yang berulang. Tema penelitian dipilih mengingat terus meningkatnya studi terkait akuntansi perikanan dan perubahan iklim dan konsekuensinya terhadap ekonomi perikanan. Secara total, 366 dokumen terindeks yang mencakup periode 2014 hingga 2023 dipilih dari database Scopus, dan dianalisis melalui perangkat lunak VOSViewer. Hasil penelitian menunjukan bahwa pembahasan terdapat beberapa topik penelitian yang jenuh yaitu climate change, fisheries management, dan fisheries. Hasil ini menunjukan bahwa penelitian ini menarik untuk dikaji dan digali lebih meluas. Terdapat beberapa rekomendasi topik terbaru belum banyak dibahas dalam penelitian yaitu marine protected areas dan food security
Estimation Of Carbon Footprint Emission Consumption In Electricity From Individual Student: Case Study In Department Of Economics, Universitas Diponegoro Djatayu, Mentari Anggun; Susilowati, Indah; Furoida, Aini Nur; Musliha, Cici
Jurnal Ilmu Lingkungan Vol 23, No 5 (2025): September 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.5.1292-1298

Abstract

This research aims to analyze estimated carbon footprint emissions based on daily electricity consumption, as well as provide strategies aimed at reducing greenhouse gas emissions. The method applies a quantitative approach using descriptive statistics. Data collection was obtained through purposive sampling of economics students at Diponegoro University, with a total sample of 61 students. The CO₂ emissions calculates by multiplying electricity use with the ESDM emission factor based on the 2006 IPCC Guidelines. The result shows that the estimated carbon footprint per category, which presents a comparison of the consumption of electronic goods among upper middle class and lower middle-class students, there are 3 categories: low, medium and high where cross tabulation obtained results in the low category of 93 percent out of a total of 100 percent. Therefore, the students who consume electricity resulting in carbon emissions at Diponegoro University are relatively low, reaching 93 percent and the highest consumption reaches 4.92 percent, which is still below 5 percent of the carbon consumption standard, which is a good achievement in helping to maintain the sustainability of the university's environment.