Muhammad Iqbal Apriliyana
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Carbon Stock Analysis in Peat Soil at Rasau Jaya Tiga Village Sri Buwono; Diah Trismi Harjanti; Putri Tipa Anasi; Hadi Wiyono; Muhammad Iqbal Apriliyana
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 5, No 4 (2022): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (706.862 KB) | DOI: 10.20961/shes.v5i4.69049

Abstract

Pemanasan global merupakan fenomena yang ditandai adanya perubahan pola curah hujan dan peningkatan suhu harian rata-rata. Di atmosfer gas rumah kaca dikenal sebagai penyebab utama terjadinya pemanasan global. Lahan gambut sebagai kawasan yang mengandung karbon terrestrial memiliki peran ganda yaitu sebagai penyerap karbon dan sebagai sumber emisi karbon di atmosfer. Aktivitas manusia menjadi salah satu pemicu terjadinya pemanasan global terutama aktivitas di lahan gambut. Pada penelitian ini metode yang digunakan adalah kuantitatif deskriptif. Adapun analisis data yang dilakukan meliputi pengolahan dan penyajian data. Pengolahan data dilakukan dengan pengujian laboratoium pada sampel tanah yang telah diambil. Hasil dari laboratorium dianalisis kemudian didkripsikan. Pengambilan sampel tanah dilakukan secara acak guna mendapaktakn perbedaan kandungan karbon organik pada tanah gambut. Lokasi pengabilan sampel adalah Desa Rasau Jaya Tiga yang didominasi oleh kandungan karbon tinggi pada tanah gambut pada kedalaman 0-10 cm. Perbedaan kandungan karbon pada lapisan tanah gambut desa Rasau Jaya Tiga dipengaruhi oleh perbedaan penggunaan lahan di lokasi pengambilan sampel.
COMPARATIVE STUDY OF ARITHMETIC GEOMETRIC CURVE AND STATISTICAL STRAIGHT-LINE METHODS FOR HUMAN DEVELOPMENT INDEX PROJECTION Harjanti, Diah Trismi; Enok Maryani; Muhammad Iqbal Apriliyana; Audi Cindra Arini
Jurnal Biometrika dan Kependudukan Vol. 14 No. 2 (2025): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbk.v14i2.2025.208-217

Abstract

The research compares the use of two projection methods, namely Arithmetic Geometric Curve (AGC) and Statistical Straight Line (SSL), in projecting the Human Development Index (HDI) in Sanggau Regency, West Kalimantan Province. In human development planning, choosing the right projection method is important. HDI is a complex indicator, with its growth not always linear, and that comparing the AGC method, which is more flexible to changing trends, with the SSL method, which is simpler but based on linear assumptions, will give an overview of the accuracy of the projection. This study investigates three main indicators of HDI, namely health, education, and a decent standard of living, through several main variables such as Life Expectancy, Expected Years of Schooling, Average Years of Schooling, and Per Capita Expenditure. The results between the two projections are significantly different. The projection of the AGC is more optimistic with a sharper growth trend, while the projection in the SSL method tends to be more stable and consistent. The AGC method indicates faster target achievement results, while the SSL method provides more accurate, realistic estimates. Thus, the HDI projection for Sanggau Regency shows that with the more aggressive AGC method, the HDI target of 70 can be achieved in 2025, while the SSL method leads to achieving the target in 2027. This study can provide the basis for regional development planning by considering the accuracy and stability of projections in achieving sustainable development.