Faculty of Mathematics and Natural Sciences
https://repository.unri.ac.id/handle/123456789/50
2024-03-29T00:34:43ZPOTENSI BIOSORBEN KULIT SINGKONG (Manihot esculenta Crantz) TERAKTIVASI NaOH DALAM MENINGKATKAN pH DAN KUALITAS FISIK AIR GAMBUT
https://repository.unri.ac.id/handle/123456789/11368
POTENSI BIOSORBEN KULIT SINGKONG (Manihot esculenta Crantz) TERAKTIVASI NaOH DALAM MENINGKATKAN pH DAN KUALITAS FISIK AIR GAMBUT
Patuanjaya, Yohansen
This research aims to analyze the effect of the cassava peel biosorbent powder
activation process on the characteristics of the biosorbent powder, as well as
determine the optimum contact time and optimum dose of biosorbent powder in
increasing the pH and physical quality (color, odor, TSS and TDS) of peat water.
The cassava peel biosorbent powder in this study was made through the process of
drying the washed cassava peel, then grinding it to a size that passed at 100 mesh
and was retained at 200 mesh. Biosorbent powder was activated using 0.4 N NaOH
solution with a ratio of 1:10 (w/v). The functional groups of cassava peel biosorbent
powder were analyzed using FTIR, while the surface morphology and elemental
composition of cassava peel biosorbent powder were analyzed using SEM-EDS.
Determination of the optimum contact time was carried out with variations in
contact time of 30, 60 and 90 minutes. After obtaining the optimum contact time,
then proceed with determining the optimum dose of biosorbent powder with a dose
variation of 0.05; 0.10; and 0.15 g. Based on research, the optimum conditions for
biosorbent powder after activation are a contact time of 60 minutes and a dose of
0.10 g of biosorbent powder. These optimum conditions have not been able to
improve the color and odor of peat water, but have succeeded in improving pH,
TSS and TDS when compared to Government Regulation No. 22 of 2021
concerning Implementation of Environmental Protection and Management.
2023-11-01T00:00:00ZPENGARUH BERAT KATALIS, WAKTU DAN SUHU REAKSI PADA PRODUKSI BIODIESEL MENGGUNAKAN KATALIS HETEROGEN CaO-SiO2 3% DARI LIMBAH CANGKANG KERANG DARAH DAN SABUT KELAPA
https://repository.unri.ac.id/handle/123456789/11367
PENGARUH BERAT KATALIS, WAKTU DAN SUHU REAKSI PADA PRODUKSI BIODIESEL MENGGUNAKAN KATALIS HETEROGEN CaO-SiO2 3% DARI LIMBAH CANGKANG KERANG DARAH DAN SABUT KELAPA
Risma, Yesika Ayu
This research aims to synthesize biodiesel using a CaO catalyst from blood cockle shells
impregnated with SiO2 from coconut fiber at a concentration of 3% w/w. The resulting
catalyst was characterized using the Brunauer Emmett Teller (BET) method showing that
the surface area of the 3% CaO-SiO2 catalyst had a higher area compared to CaO without
modification. Scanning electron microscopy-energy dispersive x-ray spectroscopy (SEMEDX)
had a rough surface morphology. and agglomerate and the main elemental
composition of the 3% CaO-SiO2 catalyst is Ca, Si and O, and the basicity test of the 3%
CaO-SiO2 catalyst has lower basicity compared to CaO. Biodiesel production is carried
out by varying catalyst weight, temperature and reaction time with optimization using the
Response Surace Methodology (RSM) design. Characterization of biodiesel produced
from a 3% CaO-SiO2 catalyst has water content, specific gravity, viscosity and carbon
residue which generally meets the quality requirements of SNI 7182-2015, except for the
acid number.
2023-11-01T00:00:00ZCADANGAN ZILLMER ASURANSI JIWA DWIGUNA MENGGUNAKAN DISTRIBUSI FRECHET
https://repository.unri.ac.id/handle/123456789/11366
CADANGAN ZILLMER ASURANSI JIWA DWIGUNA MENGGUNAKAN DISTRIBUSI FRECHET
Prahasiwi, Syifa Wahyuni
Life insurance is a protection effort provided by the insurer against risks to the insured’s
life that will arise from an unpredictable event. Insurance companies need
to calculate reserves to prepare funds when participants request a claim. Zillmer’s
reserves are modified reserves that are calculated using prospective reserves and a
zillmer rate of α.This final project aims to determine Zillmer reserve of endowment
life insurance for two insurance participants who are x years old by using Frechet
distribution. The parameters in the Frechet distribution were estimated using maximum
likelihood estimation and then determined by a Newton-Raphson iteration
method. The calculation of this Zillmer’s reserve is obtained by using the prospective
reserve and Zillmer’s rate. The solution of this problem is obtained by determining
the initial life annuity temporary, single premium, and annual premium, then the
Zillmer’s reserve formula is obtained based on the distribution of Frechet. Zillmer’s
reserves for endowment life insurance using the Frechet distribution is smaller than
Zillmer’s reserve for endowment life insurance using the Indonesian Mortality Table
2011
2023-11-01T00:00:00ZSISTEM PAKAR DIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN PORANG (Amorphophallus muelleri Blume) MENGGUNAKAN METODE DEMPSTER-SHAFER
https://repository.unri.ac.id/handle/123456789/11365
SISTEM PAKAR DIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN PORANG (Amorphophallus muelleri Blume) MENGGUNAKAN METODE DEMPSTER-SHAFER
Gani, Suherman Abdul
The porang plant (Amorphophallus muelleri Blume) is a type of Indonesian tuber plant
that belongs to the family of Araceae plants. In recent years, the demand for porang in the
world and domestic markets has continued to increase, this has become a public interest
in planting porang because it has quite a large potential opportunity. However, like other
plants, porang cultivation cannot be separated from pests and diseases. Porang farmers
must be able to quickly identify the types of pests and diseases that attack crops to minimize
damage. A quick way that can be used to identify diseases and pests in porang plants is to
use a tool in the form of an expert system. One method that can be used in expert systems
is Dempster-shafer. This method can help in diagnosing diseases and pests based on the
entered symptoms. This study used 3 pest data, 4 disease data, and 22 symptom data on
porang plants. This study involved 2 experts with 12 different case data in the field. The
results of this study are based on a comparison of expert diagnoses with systems, there are
11 appropriate diagnostic data.
2023-11-01T00:00:00Z