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Contact Name
Saprizal Hadisaputra
Contact Email
rizal@unram.ac.id
Phone
+6287738066422
Journal Mail Official
pijarmipa@unram.ac.id
Editorial Address
Univesitas Mataram. Jalan Majapahit No 62 Mataram, Lombok, NTB. 83125. Indonesia
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
Jurnal Pijar MIPA
Published by Universitas Mataram
ISSN : 19071744     EISSN : 24601500     DOI : -
Core Subject : Science, Education,
Jurnal Pijar MIPA (e-ISSN: 2460-1500 & p-ISSN: 1907-1744) is an open-access scientific periodical journal published by the Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA publishes original articles on current issues and trends in mathematics-science-science education studies. In addition, this journal addresses issues concerning environmental education and environmental science. The journal scopes are: a. Physics and Physics Education b. Chemistry and Chemistry Education c. Biology and Biology Education d. Natural Science and Science Education e. Mathematics and Mathematics Education f. Environmental and Environmental Education
Arjuna Subject : Umum - Umum
Articles 30 Documents
Search results for , issue "Vol. 19 No. 1 (2024): January 2024" : 30 Documents clear
Production of Biogas From a Mixture of Chicken Litter and Cow Manure and Its Effect on the Resulting Volume and C/N Ratio Tira, Hendry; Sutanto, Rudy
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.4942

Abstract

The livestock sector's waste is a potential raw material for producing biogas because it is abundantly available. This experiment aimed to understand the potential of two types of livestock waste to produce biogas. The two sources of raw material were mixed with different variations. The results showed that the volume of fermentation gas produced from livestock waste varied depending on the type and composition of the raw material used. Mixing was done to determine the best variation in producing biogas from chicken litter and cow manure. The volume ratio of litter to cow manure used was (0%:100%), (25%:75%), (50%:50%), (75%:25%), (and 100%:0%), with a total volume of 2 liters. In addition, 10% of EM-4 (effective microorganism) was added to the mixture of livestock waste that had previously been given 2 liters of water. The waste mixture was then fermented for 30 days. The fermentation process was carried out under mesophilic conditions at room temperature and pressure. This study showed that the higher the concentration of chicken litter in the mixture, the higher the carbon-to-nitrogen (C/N) ratio value. On the other hand, if there is a higher composition of cow manure in the mixture, the substrate pH value will be higher. Furthermore, a 50%:50% composition of chicken litter and cow manure produced a high volume of biogas. Similarly, the biogas formation rate in this composition showed the best performance. These results prove that the balance of carbon and nitrogen composition, temperature, and substrate acidity significantly affect biogas production.
Antibacterial Activity Test of the Combination of Methanol Extract of Arumanis Mango Leaves (Mangifera indica L) and Taro Leaves (Colocasia esculanta L) on Escherichia coli Bacteria Causes of Diarrhea Diseases Kumalasari, Siska; Fitriyati, Laeli; Rahayu, Titi Pudji; Kiromah, Naelaz Zukhruf Wakhidatul
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.5850

Abstract

Arumanis mango leaves (Mangifera indica L) and taro leaves (Colocasia esculanta L) are plants that have the potential to be antibacterial and can be used as an alternative to treat infectious diseases caused by bacteria. Arumanis mango leaves contain secondary metabolite compounds, including flavonoids, alkaloids, steroids, polyphenols, tannins, and saponins, and taro leaves contain secondary metabolite compounds in the form of saponins, tannins, flavonoids, formic acid, glucosides, citric acid, and several minerals. Secondary metabolite compounds that have potential as antibacterials are flavonoids and tannins. This study aims to determine the antibacterial activity of a combination of methanol extracts of arumanis mango leaves (Mangifera indica L) and taro leaves (Colocasia esculanta L) against Escherichia coli bacteria. The research was carried out starting from the plant determination and preparation of simplisia, extraction, phytochemical screening of extracts and KLT tests, and antibacterial testing using the disc paper method. The concentration series of extract combinations used are 6.25%, 12.5%, and 25%. The antibacterial test results of the combination of arumanis mango leaf extract (Mangifera indica L) and taro leaf (Colocasia esculanta L), which showed the highest inhibition zone diameter was at a concentration of 6.25% (1:1), a concentration of 12.5% (1:2). At a concentration of 25% (2:1). From the results of this study, a single extract of arumanis mango leaves and taro leaves with a concentration of 6.25%; 12.5%; 25% and a combination of extracts in a ratio of 1:1. 1:2, 2:1, which has potential antibacterial activity against Escherichia coli bacteria, so that further research can be carried out by utilizing a combination of arumanis mango leaf extracts and taro leaves and as a source of information and insight into the combination of arumanis mango leaves and taro leaves that have antibacterial properties.
The Effect of Using Ecology Modules on Communication Skills, Cognitive, and Student Attitudes Through Problem-Based Learning Ginanjar, Gigin; Rahayu, Maya; Ayuningtyas, Vidya
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.5853

Abstract

Learning carried out in lectures requires a variety of learning resources to improve students' abilities for the better. During this time, lectures usually only use learning resources that vary little and tend to use only one source so that student learning outcomes are not maximized. This research was conducted to improve student learning outcomes, especially in communication skills and cognitive and student attitudes at Bina Bangsa University. The research method used is ADDIE development research, starting from the stages of Analysis, Design, Development, Implementation, and Evaluation. Module development is carried out by measuring its effectiveness on communication skills using observation sheets, measuring cognitive abilities with tests, and observing attitudes with observation sheets. The application of the module in learning is carried out with a quasi-experimental design. Then, the results are analyzed descriptively with the ANCOVA statistical test using the SPSS application. The results showed improved communication skills, cognitive abilities, and student attitudes. Based on statistical tests, there are differences in the achievement of learning outcomes between the control and treatment classes. In the treatment class, the application of problem-based learning modules showed improved communication, cognitive, and student attitudes. However, based on the value of the gain score, the use of problem-based teaching modules on communication skills and student attitudes is in the range of low effectiveness, while in cognitive aspects, it is in the range of moderate effectiveness. Using ecology modules with problem-based learning is important because real problem-based learning makes learning more contextual, especially in courses that use environmental problems as the main study.
Fabrication of Carbon Paste Electrode Modified with Bentonite Nanoparticles and Titanium Dioxide Nanoparticles for Analysis of Methyl Parabens by Cyclic Voltammetry Hizbullah, Ahmad Jihad; Setiarso, Pirim
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.5949

Abstract

Cosmetics are products of several substances or ingredients with a predetermined time limit. Efforts to extend the time limit of cosmetic use are made by adding preservatives. One preservative that is often used is methylparaben. Methylparaben has been tested using spectrophotometry, voltammetry, and HPLC. In this study, electrode modification was carried out in the voltammetry test to obtain a low detection limit. The purpose of this study was to determine the effect of the working electrode composition of carbon paste, bentonite nanoparticles, titanium dioxide nanoparticles, and paraffin on the best response in the analysis of methylparaben by cyclic voltammetry, knowing the optimum measurement conditions of pH with the best electrode composition in the analysis of methylparaben by cyclic voltammetry. FTIR characterized bentonite nanoparticles to determine vibrations and functional groups, and XRD was performed to determine the phase and particle size. The electrode was made from a mixture of carbon, bentonite nanoparticles, titanium dioxide nanoparticles, and paraffin. The best electrode composition was added with titanium dioxide nanoparticles to obtain a higher peak current. XRD characterization of bentonite nanoparticles showed an average particle size of 43.8155 nm. The result of determining the best electrode composition is 3:2:3:2 with an anodic peak current of 9.6.10-4 A. The best methylparaben measurement at pH seven solution conditions. The latest research shows that carbon paste electrodes modified with bentonite and titanium dioxide nanoparticles can be used for methylparaben analysis.
Study of Developing Models of Crop Failure Risk Information Agustiarini, Suci; Sampelan, David; Maurits, Yuhanna; Baihaqi, Anas; Patria Megantara, Restu; Ulfah, Afriyas; Permana, Angga; Kirana, Nindya; Sulistio Adi Wibowo, Dewo; Purwaningsih, Ni Made Adi; Pamungkas, Cakra Mahasurya Atmojo; Putrantijo, Nuga; Fajariana, Yuaning
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.5981

Abstract

Climate is one factor that can influence plant growth. The risk of crop failure due to climate variability can be in the form of reduced water sources, which impact water needs in the land and the emergence of pests and diseases in plants. The risk of planting failure can impact product quality, which has the potential to decrease, higher plant handling costs, and various things that cause losses to farming businesses. The availability of climate forecast information, such as rainfall and other parameters, encourages writers to apply it to information that is easier for users to understand. One of the machine learning algorithms, Decision Tree, is used as a model in determining the risk of planting failure based on each attribute/parameter, including monthly rain, ENSO and IOD phenomena, drought, groundwater availability, and Oldeman climate type. This study aims to make a model prediction of crop failure risk potential, and the calculation is based on climate prediction data. The results of this study show differences in climatic conditions for each commodity when there is an increased potential risk of planting failure. Monthly rainfall is the most dominant factor influencing rice, maize, and soybean planting failure. Validation of the decision tree model shows that this model is quite good in determining the potential risk of crop failure in all commodities studied, with the proportion of correct proportion of more than 65%. However, the Heidke Skill Score (HSS) shows that this model is good for Paddy and Soybean; Maize shows an HSS of less than zero.
Construction of Kedisan Pier to Increase Tourist Visits and Water Quality in Lake Batur, Bali Agustina, Arik; Aprinica, Ni Putu Isha; Muliadiasa, I Ketut; Astina, Made Arya
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6010

Abstract

Kedisan Pier gives a new feel of traveling in Batur, with a concept like a pier in South Korea, but also provides views of Lake Batur and Mount Batur simultaneously. Tourists not only visit restaurants, hot springs, hikes, and stay overnight but can also visit the Kedisan Pier Area. The increase in tourist visits influences the condition of water quality in Lake Batur. This study aims to determine the influence of the construction of Kedisan Pier on tourist visits and the quality of Lake Batur water. This study used a purposive sampling method; sampling was carried out at three points representing settlements and agriculture, water bodies/middle of lakes, and dock. The samples were tested for pH and temperature in the field and COD parameters in the laboratory. Furthermore, these three parameters are compared with Class 1 lake water quality standards in Government Regulation 22 of 2021. Based on the results, it is known that the pH and COD in the three locations exceed the class 1 water quality standard, which is 10 mg / L. pH in the range of 9.2 – 9.5. Increased COD concentration compared to the quality standard at point 1 by 127%; Point 2 is 82%, and Point 3 is 144%. Domestic activities cause the high pH and COD values at these three points—the highest COD value in the Kedisan Pier area. The construction of Kedisan Pier impacts the increasing number of tourists but also causes a decrease in Lake Batur's water quality. Based on this, human awareness is needed to increase tourism while maintaining the quality of waters for the future benefit of humans, flora, and fauna. In addition, further research needs to be carried out using other microbiological and chemical parameters to see the quality of Lake Batur waters.
Identifying Student Misconceptions on Momentum and Impulse Using Four-Tier Diagnostic Test Instrument with CRI Paramita, Uci Vebia; Jauhariyah, Mukhayyarotin Niswati Rodliyatul
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6086

Abstract

Identification of students' misconceptions is crucial in Physics learning as an evaluation tool to address and reduce these misconceptions. This study aims to assess the quality of a four-tier diagnostic test using the CRI instrument, assisted by JotForm, and describe the profile of students' misconceptions related to momentum and impulse. The quality of the instrument is evaluated based with validity and reliability. The research follows the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) method. The instrument is developed during the analysis, design, and development stages. The implementation and evaluation stages involve capturing the profile and causes of students' misconceptions. The instrument's quality is assessed based on theoretical validity, which reached 89.29%. Empirical content validity haved percentages of false positives 6.93%and false negatives 6.53%. The empirical validity of the construct, with a significance level of 0.05, resulted in an rtableof 0.273. From the 15 questions tested, 12 questions were found to have empirical validity, and a reliability score of 0.475 was obtained. The study revealed that 3 students had low misconceptions, 14 students had medium misconceptions, and 6 students had high misconceptions. The causes of students' misconceptions were primarily false positives and humanistic thinking, accounting for 28.56%. In conclusion, the instrument developed in this study is valid and reliable, and it effectively identifies the profile and causes of students' misconceptions.
Cyclic Voltammetry Method for Analysis of Phosphate Concentration in Water Agustin, Qomariyah; Setiarso, Pirim
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6090

Abstract

Phosphate is a nontoxic element but a limiting element for productivity. Several methods have been established to analyze the phosphate concentration in water. This study aims to analyze phosphate concentration in water using the voltammetry method using cyclic voltammetry. Cyclic voltammetry is an electroanalytical method that measures the current outcome of oxidation-reduction reactions in response to the potential. The current outcome is directly proportional to the phosphate concentration in the solution. The calibration curve was formed from the KH2PO4 standard solution using concentrations of 0.1 mg/L, 0.2 mg/L, 0.4 mg/L, 0.8 mg/L, and 1.6 mg/L. The voltammogram showed that the analyte does not have an anode peak current (Ipa), which means that the analyte solution did not have an oxidation reaction, so the cathode peak current (Ipc) value was used. Based on the calibration curve, the linear regression graph with a straight-line equation is y = -0,00000645632x - 0,000208737 with R2 of 0,99737. Meanwhile, this cyclic voltammetry method was validated by calculating the LOD and LOQ values; the results are 0.1034 mg/L and 0.3134 mg/L, respectively. Hence, based on the analysis of phosphate concentration in water samples, this method works satisfactorily and is suitable for routine analysis because of its advantages.
Science Learning Motivation Among Students at Junior and Senior High Schools in Sungai Penuh: A Comparative Study Satrianti, Elza; Pranata, Ogi Danika; Tiara, Tiara
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6101

Abstract

Student motivation in science learning has significantly changed during the pandemic. Consequently, it is crucial to trace how student motivation in science has evolved. This study uses a descriptive and comparative research approach to obtain a general overview of students' science learning motivation and compare the levels of student learning motivation, providing a comprehensive overview of student motivation at different educational levels. The total sample size for this study is 104 students, selected using purposive sampling techniques from two schools, junior high school (madrasa) 1 and senior high school 1 Sungai Penuh. A questionnaire on students' motivation for learning science, adapted from a previous study, was utilized to collect student motivation data. Student responses were converted into quantitative data using a Likert Scale of 1 to 5. The collected data were processed and analyzed using descriptive and Mann-Whitney U-test statistics. The results reveal a significant difference in the motivation for learning science between senior high school 1 and junior high school (madrasa) 1 students. The group of students from senior high school 1 exhibited a higher level of science learning motivation than those from junior high school (madrasa) 1. When comparing indicators, no significant differences were found in the motivation of students from junior high school (madrasa) 1 and senior high school 1 Sungai Penuh for learning goal orientation, self-efficacy, and self-regulation. The difference in motivation indicators was only significant in task value. These findings can guide classroom teachers in refocusing their teaching practices and assessing the effectiveness of intervention programs. Exploring other factors across various subjects and school levels is also recommended to gain a more comprehensive understanding of the variations in student learning experiences.
Synthesis and Characterization of Copper Nanoparticles with Bioreductor Carica Dieng (Carica pubescens) Seed Extract Setiani, Fifin; Suyatno, Suyatno
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6124

Abstract

Secondary metabolite compounds in plants act as bioreductors in the metal reduction process and complement inorganic reductants. This study studied the characteristics of copper nanoparticles using Carica Dieng (Carica pubescens) seed extract. The synthesis of copper nanoparticles was carried out using the green synthesis method by reducing CuSO4 10 mM with distilled water extract from Carica Dieng (Carica pubescens) seeds. The Synthesis was carried out with the ratio of the composition of the extract and CuSO4 solution 1:3 at pH 10. Nanoparticles were then characterized using UV-Vis spectrophotometer and PSA (Particle Size Analyzer) instruments. The characterization results using a UV-Vis Spectrophotometer showed a maximum absorption peak at a wavelength of 535 nm; the wavelength is included in the wavelength range of copper nanoparticles, which ranges from 500-700 nm. The particle size distribution analyzed using PSA shows an average size of 14.49 nm; this size is included in the range of nanoparticle sizes, which is between 1-100 nm, thus proving that nanoparticles have been successfully formed, the Poly Dispersity Index (PDI) value obtained is 0.1943 which indicates that the nanoparticle sample is categorized as homogeneous so that it has uniform size uniformity.

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