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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.
Rantai Nilai Kopi Robusta Pada Kelompok Tani Ngudi Rahayu XI Desa Kebondalem, Kecamatan Jambu, Kabupaten Semarang Debra, Malinny; Wulanningrum, Hesti; Muhsoni; Suranto, Agus; Furoida, Aini Nur; Susilowati, Indah
JURNAL AGRICA Vol. 18 No. 2 (2025): JURNAL AGRICA
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/agrica.v18i2.15364

Abstract

This study aims to identify and analyze the robusta coffee value chain in the Ngudi Rahayu XI Farmer Group in Kebondalem Village, Jambu District, Semarang Regency to determine the added value that can be obtained from each stage of the process in the robusta coffee supply chain and development strategies that can increase farmers' income. The research method used descriptive qualitative analysis with data collection through observation, interviews and discussions with farmers and quantitative related to added value using the hayami method. The results showed that the processing and marketing stages of robusta coffee final products generate the greatest added value. In particular, processing into dried coffee ose produces a total value-added of Rp 2,510 and packaged ground coffee of Rp 7,672 for every kilogram of wet ground coffee. Evidently that further processing to finished products generates greater value-added than selling semi-finished products. However, fluctuating coffee prices, limited access to market information, and technology are problems that coffee farmer groups still face. Therefore, to increase competition and profits for robusta coffee farmers in Kebondalem Village, it is necessary to improve the value chain through innovations in the processing process. value chain improvement through innovations in processing, implementation of integrated quality management, and implementation of effective marketing strategies.
Analisis Perbandingan Kinerja Risiko-Return Indeks Saham di Kawasan ASEAN: Studi pada Indonesia, Malaysia, dan Singapura RINAIMA, CHETRINE ALYA; Siddiq, Akhyar; Furoida, Aini Nur
Jurnal Ekonomika : INDEPENDEN Vol 5 No 3 (2025): Desember 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/independent.v5i3.74284

Abstract

Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja risiko-return indeks saham utama di kawasan ASEAN, yaitu Jakarta Composite Index (JCI), Kuala Lumpur Composite Index (KLCI), dan Straits Times Index (STI) selama periode 2017–2023. Analisis dilakukan menggunakan pendekatan risk-adjusted return melalui Sharpe Ratio, Treynor Ratio, dan Jensen’s Alpha untuk menangkap perbedaan kinerja berdasarkan total risiko dan risiko sistematis. Data yang digunakan merupakan data sekunder berupa return indeks pasar dan tingkat pengembalian bebas risiko yang dianalisis dengan metode kuantitatif deskriptifkomparatif. Hasil penelitian menunjukkan bahwa indeks STI memiliki kinerja risiko-return yang paling konsisten dan efisien, terutama pada periode krisis dan pemulihan ekonomi. Indeks JCI menunjukkan kinerja yang cukup kompetitif pada fase pemulihan, namun belum konsisten dalam menghasilkan abnormal return setelah disesuaikan dengan risiko sistematis. Sementara itu, indeks KLCI secara umum menunjukkan kinerja risiko-return yang relatif lemah dan kurang stabil sepanjang periode penelitian. Temuan ini mengindikasikan bahwa perbedaan karakteristik dan efisiensi pasar memengaruhi kualitas kinerja investasi di kawasan ASEAN.