Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Mahasiswa FKIP Prodi Biologi Jurnal Penelitian Pendidikan IPA (JPPIPA)
Iis Afrianti, Iis
Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pasir Pengaraian
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS VEGETASI GULMA PADA PERKEBUNAN KELAPA SAWIT (Elaeis quinensis Jacq.) di DESA SUKA MAJU KECAMATAN RAMBAH KABUPATEN ROKAN HULU Afrianti, Iis; Yolanda, Rofiza; Purnama, Arief Anthonius
Jurnal Ilmiah Mahasiswa FKIP Prodi Biologi Vol 1, No 1 (2015): Jurnal Ilmiah Mahasiswa FKIP Prodi Biologi
Publisher : Jurnal Ilmiah Mahasiswa FKIP Prodi Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (466.379 KB)

Abstract

The aims of this study was to determine composition and structure of weeds in oil palm plantations (Elaeis quinensis Jacq.) in Suka Maju Village Rambah subdistrict Rokan Hulu Regency. The study was conducted from September to December 2014 by using survey method with purposive sampling technique at each station with different age:3-5 years, 5-7 years, and >7 yearsand 3 repetitions. Results showed 17 families and 40 species of weeds were found. Density value ranges 0.01-14.15; KR: 1.1-70.38; Frequency: 0.08-1.00; FR: 0.59%- 7,10%; NP: 0.59%-76.89%; H’: 2.16-2.58 C: 0.12-0.20; J: 0.65-0.78 and similarity index 66.6%- 75.8%.
Model Bayesian Tobit untuk Menangani Data Tersensor pada Penilaian Kualitas Air: Studi Kasus di Selat Sunda, Indonesia Afrianti, Iis; Sjaifuddin, Sjaifuddin; Firdaus, Najmi
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.13432

Abstract

As an archipelagic nation, Indonesia relies heavily on coastal activities that may affect marine water quality, yet studies addressing this issue remain limited, particularly in the presence of left-censored data. This study aims to evaluate an appropriate method for handling left-censored data in water quality assessment using the CCME-WQI, with a case study in the Sunda Strait. A Bayesian Tobit model was applied to account for left-censored observations and integrated with the CCME-WQI framework. For comparison, conventional substitution methods and exclude left-censored were also used. The performance of approaches was assessed based on their ability to produce reliable water quality index estimates. The results indicate that the Bayesian Tobit model provides more robust estimates than substitution methods, as it incorporates uncertainty through credible intervals and reduces potential bias. The estimated water quality index ranged from 83.8 to 92.1, classifying the water quality as “good.” In conclusion, the Bayesian Tobit model is a more reliable approach for handling left-censored environmental data and improving water quality assessment. This method is particularly relevant for routine monitoring and can be extended to other fields with similar data characteristics.
Co-Authors Arief Anthonius Purnama Najmi Firdaus Rofiza Yolanda, Rofiza Sjaifuddin, Sjaifuddin