Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi Biosaintifika: Journal of Biology & Biology Education BioEksakta : Jurnal Ilmiah Biologi Unsoed
Hexa Apriliana Hidayah
Universitas Jenderal Soedirman
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Immunology & microbiology Veterinary

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Identification of Pollen Characteristics as Apis cerana Feed Sources in Honeycomb, in Serang Purbalingga Vanesa Yolanda; Sukarsa Sukarsa; Hexa Apriliana Hidayah
BioEksakta : Jurnal Ilmiah Biologi Unsoed Vol 2 No 1 (2020): BioEksakta
Publisher : Fakultas Biologi Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.6 KB) | DOI: 10.20884/1.bioe.2020.2.1.1814

Abstract

Serang Purbalingga village is a fertile area and has the potential for the development of Apis cerana honeybee business. Honeybee products are known to have high economic value. The development of honeybee business will be better if supported by the avaibility of pollen from flowering plants as feed sources. Pollen that use to be A. cerana feed sources are taken from plants flower around the beehive and matched with pollen inside honeycomb. The purpose of this research is to determine the diversity and character of pollen from plants found around beehive and inside A. cerana honeycomb. This research conducted by descriptive survey method where the data obtained from field used as material for analysis and describing the characteristics of pollen found. Variable in this research is pollen characters with parameters are pollen units, size, shape, apertures and ornamentation. Based on results, there are 23 species of plants included in 17 families found around the beehive with varying of pollen shape, namely spheroidal, prolate-spheroidal, sub-prolate, and prolate. The smallest to largest pollen sizes are minutae, mediae, and magnae. Types of pollen ornamentations are rugulate, reticulate, echinate, psilate, scabrate, to baculate. Pollen apertures are varies monosulcate, monoporate, tricolporate, tricolpate, tetracolpate, hexacolpate to syncolpate. Pollen characters inside honeycomb are identical to 12 pollen of plant species found around the beehive where the pollen shape are spheroidal, prolate-spheroidal, sub-prolate and prolate. There are several types of ornamentation, namely reticulate, rugulate, echinate, psilate and sacbratte. Apertures are varies from monosulcate, monoporate, tricolporate, tricolpate to syncolpate. Key words : Apis cerana, characters,diversity, pollen, Purbalingga
The Lipid Content of The Culture Microalgae Using Media of Tapioca Liquid Waste Achmad Ilalqisny Insan; Christiani Christiani; Hexa Apriliana Hidayah; Dwi Sunu Widyartini
Biosaintifika: Journal of Biology & Biology Education Vol 10, No 2 (2018): August 2018
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v10i2.12381

Abstract

Microalga Navicula sp., Spirulina platensis, and Chlorella vulgaris have the prospect of being a source of biofuel producers. Rapid cell growth, coupled with the ability to produce large lipids and less pollution, can be used as an alternative to biofuel development. Microalgae cultivation can utilize tapioca liquid waste. Addition of NaCl to regulate salinity, so optimum for microalgae growth. In addition it can reduce toxins by binding to dissolved cyanide acid present in the waste. This study aims to determine the effect of NaCl concentration on tapioca liquid waste on growth and lipid microalgae content. This study used an experimental method with a complete random factorial design. The first factor tested three species of microalgae. The second factor tested seven NaCl concentrations on tapioca liquid waste media. The results showed that the concentration of NaCl 35% in tapioca liquid waste culture media capable of producing biomass of C. vulgaris cells with the highest lipid content. The NaCl concentration capable of producing the highest microalgae biomass from the study can be developed to design more effective and efficient tapioca industrial waste treatment without damaging the environment but more productive, as a biofuel producer.
Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis Rosyid Ridlo Al-Hakim; Yanuar Zulardiansyah Arief; Agung Pangestu; Hexa Apriliana Hidayah; Aditia Putra Hamid; Aviasenna Andriand; Nur Fauzi Soelaiman; Machnun Arif; Mahmmoud Hussein Abdel Alrahman
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i2.2542

Abstract

The traditional expert system (TES) in the medical field commonly uses a certainty factor (CF) rule-based algorithm that can be calculated several symptoms to determine the inference solutions. The main issue for this TES included a prediction for some particular disease likelihood in the cases of new patients. CF is calculated based on symptoms related to clinical signs in patients’ diagnoses. For some reason, this TES probably won’t predict uncertain things, such as particular disease likelihood of some diseases. So, supervised learning, such as linear regression, can solve this problem. We tried to analyse the existing TES for thyroid disorders due to modelling the regression equation to predict the thyroid abnormality particular disease likelihood, based on the symptoms’ CF value and its confidence level. We used multiple linear regression (MLR) and multiple polynomial regression (MPR) to analyse the best regression model to solve the problem. The results show that the MPR model indicates the best regression model for predicting particular disease likelihood of thyroid abnormality, supported by R-squared 94.7%, R-squared adjusted 94.4%, F-value 265.925, and p-value < 0.05, which are higher than MLR model. Our study proposed a foundation for expert system development by focusing more on machine learning expert system (MLES) analysis approaches than TES.
Co-Authors Achmad Ilalqisny Insan Agung Pangestu Aviasenna Andriand Christiani Christiani Dwi Sunu Widyartini Hamid, Aditia Putra Machnun Arif Mahmmoud Hussein Abdel Alrahman Nur Fauzi Soelaiman Rosyid Ridlo Al-Hakim Sukarsa Sukarsa Vanesa Yolanda Yanuar Zulardiansyah Arief