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Jurnal Penelitian Pendidikan IPA (JPPIPA)
Published by Universitas Mataram
ISSN : 24602582     EISSN : 2407795X     DOI : -
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics
Science Educational Research Journal is international open access, published by Science Master Program of Science Education Graduate Program University of Mataram, contains scientific articles both in the form of research results and literature review that includes science, technology and teaching in the field of science. The Science Educational Research Journal is published twice in a year in January and July editions. The editors receive writing in Indonesian or English, either from the university or from outside the university.
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Articles 179 Documents
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Search results for , issue "Vol 10 No 12 (2024): December" : 179 Documents clear
Design of Realtime Web Application Firewall on Deep Learning-Based to Improve Web Application Security Rofif Zainul Muttaqin; Dodi Sudiana
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8346

Abstract

Web applications are widely used nowadays, but comprises several vulnerabilities that are often used by attacker to exploit the system. There is web application firewall (WAF) that could mitigate these problem. WAF generally works based on pre-established rules. However, the weakness of this system is the evolving nature of attacks, and configuring rules on WAF requires in-depth knowledge related to existing applications. Artificial intelligence technology, both machine learning (ML) and deep learning (DL), shows good potential in recognizing types of attacks. In this research, a Real-time DL-based WAF was built to enhance security in web applications. Various ML and DL models were tested to perform the task of web attack detection, including Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM). Based on the test results, the CNN-LSTM model achieved the highest performance, namely an accuracy of 98.61%, precision of 99%, recall of 98.08%, and f1-score of 98.54%. From the testing results with a web vulnerability scanner, the performance of the DL-based WAF is not inferior to ModSecurity WAF, which is used as a comparison. From the analysis results, it can be concluded that the implementation of DL-based WAF can improve the security of web applications.
The Impact of Project Based Learning with Aquascapes on Metacognitive Skills and Learning Outcomes in Ecosystem Lesson Linda Murisqa; Muhibbuddin; Safrida; Cut Nurmaliah; Abdullah
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8386

Abstract

This study aims to determine the effect of the Project-Based Learning (PjBL) model based on aquascape media on students' metacognitive abilities and learning outcomes in ecosystem material. The research used a Pretest-Posttest Control Group experimental design, consisting of control and experimental classes. The population of the study included 241 tenth-grade students at SMAN 1 Idi Rayeuk, with a sample of 68 students determined through random sampling techniques. Data on metacognitive abilities were collected using a metacognitive state inventory, while learning outcomes were measured using written tests. Data analysis employed the Independent-Sample T test to analyze the impact of the PjBL model based on aquascape media on metacognitive abilities and learning outcomes. The results showed that the PjBL model had a significant effect on metacognitive abilities with a p-value of 0.030 (p < 0.05), as well as a significant effect on learning outcomes with a p-value of 0.000 (p < 0.05). In conclusion, the PjBL model based on aquascape media has a positive effect on enhancing students' metacognitive abilities and learning outcomes in ecosystem material.
inggris Kawakibud Durriya; Ruslin Anwar; Eko Andi
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8389

Abstract

Feasibility studies are essential tools used to assess the viability and potential success of a project or investment. These studies provide critical information that helps stakeholders make informed decisions by analyzing various factors such as costs, benefits, risks, and potential returns. One specific type of project that often undergoes feasibility evaluation is housing development. In many cases, the feasibility assessment of housing projects is typically conducted by estimating the number of units sold without necessarily examining actual sales data. This approach can lead to inaccuracies and misguided conclusions. To address this gap, our research aims to re-evaluate the investment feasibility of ongoing housing projects by incorporating actual sales data and predicting future sales figures. By doing so, we can provide a more accurate and reliable assessment of the project's viability. The findings from this re-evaluation indicate that the investment in housing development remains highly feasible. Key financial metrics support this conclusion: the project has a Payback Period (PP) of just 0.55 years, meaning the initial investment is recovered in a little over half a year. Additionally, the Net Present Value (NPV) stands at Rp 103,917,111,414, reflecting the project's substantial profitability. Furthermore, the Internal Rate of Return (IRR) is an impressive 81.73%, far exceeding typical investment benchmarks. Lastly, the Benefit-Cost Ratio (BCR) of 1.53 demonstrates that the benefits of the project significantly outweigh the costs, confirming its overall financial soundness. These results underscore the importance of using comprehensive data analysis in feasibility studies to ensure accurate and effective investment decisions.
Communication Satellite-Based Rainfall Estimation for Flood Mitigation in Papua Raden Yudha Mardyansyah; Budhy Kurniawan; Santoso Soekirno; Danang Eko Nuryanto
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8409

Abstract

Papua, an equatorial region in Indonesia, faces unique geographical and natural challenges, including heavy annual rainfall. This heavy rainfall increases flooding risks and impacts infrastructure, the economy, and daily life. Despite the importance of rain gauges for monitoring floods and climate change, Papua's difficult geography and limited transportation infrastructure hinder their installation and maintenance. In this work, we investigate a deep learning one-dimensional convolution neural network (1DCNN) model to estimate rainfall intensity using energy per symbol to noise power density ratio (Es/No) of the signals received from a communication satellite signal coupled with additional data representing satellite daily movement. The findings of this study demonstrate that the performance of the proposed model has a higher accuracy for moderate to heavy rainfall than for light rainfall. The NRMSE values for light rain, moderate rain, and heavy rain are 47.09, 31.78, and 33.58%, respectively. These results show that this method is promising for monitoring heavy rainfall as a flood mitigation effort. However, there is still room to improve the accuracy of the estimation such as using other secondary data that is highly correlated with rain at the satellite transceiver location.
Teacher’s Perseptions toward Electronic Student Worksheet Based on Yellow Well Water Purification Project to Improve Students’ Critical Thinking Skills Elsa Pramudya Wardani; Chansyanah Diawati; Noor Fadiawati
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8417

Abstract

The objective of this research is to investigate the perceptions of science teachers towards e-worksheet based on the yellow well water purification project to improve students' critical thinking skills. The method used in this research is mixed methods with Explanatory Sequential Design. The data was collected through a questionnaire, then analyzed using descriptive analysis. The questionnaires were distributed to 13 science teacher respondents and 176 junior high school students in Susunan Baru sub-district area. The research results show that 69% of teachers have not used project-based electronic worksheet; based on student questionnaire responses, 72% of teachers have given project assignments to solve problems, but these projects are not based on real problems in the environment. The environmental problem that occurs in Susunan Baru sub-district area is the problem of the quality of well water being polluted by contaminants, causing the water to be yellow and smelly. The current worksheet has not completely train students' critical thinking skills because they are not based on real problems. Based on the research results, it can be concluded that e-worksheet based on the yellow well water purification project is needed to improve students' critical thinking skills.
Phytochemical Screening, Activity Antioxidant and Activity Test of Antimicrobials Ethanol Extract of Gagatan Harimau Leaves (Paraboea leuserensis B.L Burtt) Ade Putrianti Marbun; Dwi Suryanto; Elimasni
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8428

Abstract

Paraboea leuserensis BL Burtt, a plant endemic to the provinces of Aceh and North Sumatra, is traditionally used for medicinal purposes by chewing or boiling, treating conditions such as stomach aches and increasing stamina. Research This aiming to know difference activity antioxidant and antimicrobial from extract ethanol gagatan harimau leaves. Extraction was carried out using the maceration method using ethanol solvent. Phytochemical testing includes tests alkanoids, flavonoids, glycosides, saponins, tannins, steroids and triterpenoids. Antioxidant activity was tested using the DPPH (2,2-diphenyl-1-picryl hydrazyl) method which was measured at a wavelength of 515 nm and antibacterial activity test by disc diffusion method (Kirby-Bauer Test). Test results phytochemicals show metabolit secondary contained​ in extract ethanol leaf idea tiger among them alkaloids, flavonoids, glycosides, saponins, tannins, and steroids/triterpenoids. Extract ethanol gagatan harimau leaf own activity antioxidants that are classified as strong based on IC50 value obtained​ as big as 45.95 ppm Activity test antimicrobial In E. coli inhibition zone value highest at concentrations of 75%, and 50%., S. aureus mark the highest inhibition zone at concentrations of 75% and 50%, then in C. albicans with inhibition zone values at concentrations of 75% and 50%.  
Sustainable Management Strategy for Shifting Livelihoods from Charcoal Producer Communities to Coffee Farmers in Jatiarjo Village, Prigen District, Pasuruan Regency Mulyono Wibisono; Agung Murti Nugroho; Sri Palupi Prabandari
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8468

Abstract

Communities at the foot of Mount Arjuno not only have the potential for coffee cultivation but also cattle rearing. Indirectly, the forest fires that occurred were the cause of the reduction in supporting materials to meet their livestock needs. However, this change brings a number of problems that need to be addressed. The SWOT method is used to understand in depth the internal and external factors that influence job transitions. AHP method is used to measure and assess the relative weight of each factor identified through SWOT analysis. The research results show that the management of the socio-economic impact of changing the behavior of charcoal makers to coffee farmers in Jatiarjo Village shows that this village has great potential to utilize supporting natural resources and rich local knowledge in coffee cultivation. The threat of climate change and fluctuations in coffee market prices must be anticipated with appropriate adaptation strategies. The AHP results show that human resource (HR) capacity development has the highest weight in strategic priorities, followed by socio-economic impacts, policy, market access, and the environment.
Pengembangan Modul Berbasis Augmented Reality Pada Materi Ikatan Kimia Di SMA Taman Mulia Pontianak Rizki Bakdhu Wahyu Akbar; Raudhatul Fadhilah; Dini Hadiarti
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8507

Abstract

Onventional teaching media used by teachers in teaching chemical bonding has not been able to facilitate students in understanding the concept of chemical bonding because the media used are still in two-dimensional form. Therefore, it is necessary to develop three-dimensional teaching media capable of visualizing the concept of chemical bonding, one of which is augmented reality (AR). This study aims to determine the validity and practicality of an AR-based chemical bonding module. The research type used is Borg and Gall's development research model, modified into 7 research stages. The research sample consisted of 30 students selected using purposive sampling technique. The results of material, media, and language validation analysis indicate that the developed AR-based module is valid with validity percentages of 96.66%, 81.47%, and 88.33%, respectively. Practicality analysis using a practicality questionnaire shows that the developed AR-based module is practical with a practicality score of 93.88%. Therefore, the AR-based module is highly suitable as an alternative teaching media for the topic of chemical bonding
Experimental and Theoretical Studies of Black Cumin Seed (Nigella sativa) Extract as Corrosion Inhibitor for ASTM A36 Steel Yunia Maulida; Saprini Hamdiani; Sudirman Sudirman; Saprizal Hadisaputra
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8565

Abstract

Black cumin seed extract (Nigella sativa) is effective to control ASTM A36 steel corrosion in 1 M HCl solution. This study analyzed black cumin seed (BCS) extract as a corrosion inhibitor (0 to 500 ppm) by electrochemical method including Potentiodynamic Polarization (PDP) and Electrochemical Impedance Spectroscopy (EIS). The results revealed that with the PDP method the highest inhibition efficiency (IE) was 84.26% at the concentration of 500 ppm, and with the EIS method the IE value was 77.77% at the same concentration. The components of the extract were analyzed by GCMS and obtained major compounds are linoleic acid (22.12%), methyl linoleate (22.70%), 4-cyclopentene-1,3-dione,4-3-methyl-2-butenyl) (7.64%), methyl palmitate (6.66%), and palmitic acid (5.14%). A theoretical approach with computation was also carried out to investigate the performance and interaction of the major compounds in the BCS extract that a significant role as inhibitor. This was using Density Functional Theory (DFT) method and Monte Carlo simulation. The results showed that methyl linoleate compound as the most significant role.
Efektivitas Implementasi Model Problem-based Learning Dalam Meningkatkan Literasi Sains Pada Materi Pencemaran Lingkungan Di SMA Yoga Paratama Rukmananda; Suhartini
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.8569

Abstract

This study aims to determine the effect of the Problem-based Learning (PBL) model on improving the scientific literacy of class X students of SMAN 1 Piyungan on environmental pollution material. The research method used is a quasi-experimental design with a non-equivalent control group design. This research was conducted at SMAN 1 Piyungan, even semester of the 2023/2024 academic year. The sample was class E1 as an experiment and class E2 as a control with the same number of students, namely 36 students. Data on students' scientific literacy abilities were obtained using multiple-choice questions. Analysis of the results of students' scientific literacy abilities was calculated using nonparametric statistics, namely the Mann Withney test. The PBL model is effective in improving students' scientific literacy abilities, as can be seen from the results of students' average scores or the results of the Mann Withney test. The average result of scientific literacy abilities in the experimental class was 77.20 with an N-Ggain value of 0.77, indicating that the increase was in the high category, while the average scientific literacy ability in the control class was 41.28 with an N-Ggain value of 0.41, indicating that the increase was in the moderate category. Based on the Mann Whitney test, the students' scientific literacy ability obtained a sig. (2-tailed) <0.05, meaning that there is a significant difference in students' scientific literacy ability between the control class and the experimental class. Based on the data analysis, it can be concluded that students' scientific literacy ability increases with the PBL model on environmental pollution material.

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