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Papanda Journal of Mathematics and Sciences Research
Published by Papanda Publisher
ISSN : -     EISSN : 25809709     DOI : https://doi.org/10.56916/pjmsr
Core Subject : Education,
Education Mathematics
Papanda Journal of Mathematics and Sciences Research (PJMSR) is a scientific journal published by Papanda (Paguyuban Panalungtik Sunda) since 2022. This journal was established to provide up-to-date knowledge in the fields of mathematics and science (physics, chemistry, biology) widely to all academics, researchers and students who have an interest in this field. PJMSR is an open-access journal published twice a year (June - December). All submitted manuscripts will be initially reviewed by the editor and then evaluated by two reviewers with relevant fields through a double-blind review process. This is to ensure the quality of the manuscripts published in the journal.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 98 Documents
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Life cycle assessment dan keberlanjutan ekonomi-lingkungan produksi bioetanol dari kulit pisang kepok kuning: Systematic review Putri Ramadan Lazuardi; Aceng Ruyani; M. Lutfi Firdaus
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3092

Abstract

This study synthesizes recent findings on the environmental and economic sustainability of banana peel-based bioethanol production using a Life Cycle Assessment (LCA) approach. The utilization of yellow kepok banana peel waste offers significant opportunities to support clean energy transition and sustainable waste management in Indonesia. This research employs a Systematic Literature Review (SLR) method, analyzing 15 peer-reviewed articles indexed in Scopus and SINTA published between 2020 and 2025. The review follows the PRISMA 2020 framework with inclusion criteria focusing on quantitative LCA studies and economic-environmental sustainability aspects. Literature was retrieved from Scopus, ScienceDirect, MDPI, SpringerLink, and SINTA databases using the keywords “banana peel”, “bioethanol”, “LCA”, and “sustainability”. The results indicate that pretreatment and distillation stages are the main contributors to energy consumption and greenhouse gas emissions, accounting for approximately 55–65% of total Global Warming Potential (GWP). However, the implementation of coproduct systems, such as converting residues into biogas or organic fertilizer, can reduce GWP by up to 30–40%. From an economic perspective, banana peel-based bioethanol production is financially viable at a medium scale when supported by renewable energy integration and centralized waste management systems. This study highlights the critical role of LCA as an evaluation tool for waste-based energy development and underscores the need for national standards for LCA methodologies in the bioenergy sector. To the best of our knowledge, this is the first comprehensive SLR integrating LCA and economic-environmental sustainability analysis for yellow kepok banana peel bioethanol, providing relevant insights for renewable energy policy and circular waste management in Indonesia.
Analisis kualitas instrumen tes berbasis etnomatematika pada motif batik Lontara untuk mengukur kemampuan berpikir kritis siswa Aliyah Nur Fuada Syam; Ahmad Farham Majid; Sitti Mania; Baharuddin Baharuddin
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3104

Abstract

This study aims to analyze the quality of an ethnomathematics-based test instrument on the Lontara Batik motif to measure the critical thinking skills of eighth-grade students. The test instrument consists of 20 multiple-choice questions developed based on Facione’s critical thinking indicators, including interpretation skills, analysis skills, evaluation skills, inference skills, explanation skills, and self-regulation skills, within the context of the Lontara Batik motif. This research employed a quantitative descriptive method with 14 students as participants at one of the MTs in Makassar City. The instrument quality was analyzed in terms of empirical validity, reliability, discriminating power, difficulty level, and distractor effectiveness. The results showed that all test items were valid, with correlation coefficients ranging from 0.551 to 0.886. The instrument demonstrated very high reliability, with a Cronbach’s Alpha value of 0.941. Discriminating power analysis indicated that 19 items were categorized as very good and 1 item as sufficient. In terms of difficulty level, 7 items were classified as easy and 13 items as moderate. Distractor analysis revealed that most distractors functioned effectively, although several options require improvement because they were not selected by the participants. Overall, the Lontara Batik motif-based test instrument was deemed suitable for assessing students’ critical thinking skills. This study contributes to the development of a valid and reliable ethnomathematics-based assessment instrument that integrates local cultural elements to support mathematics learning.
Pengaruh model project-based learning terhadap keterampilan proses sains siswa SMP pada pembelajaran IPA Farhan Abdillah; Rusdianto; Ulin Nuha
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3122

Abstract

This study aims to determine the effect of the Project-Based Learning (PjBL) model on junior high school students’ science process skills in science learning. The research was motivated by students’ low science process skills, as indicated by their limited ability to observe, classify, predict, measure, communicate, and draw conclusions during learning activities. This study employed a quasi-experimental approach using a Non-Equivalent Control Group Design. The sample consisted of 46 eighth-grade students at SMPN 2 Maesan, comprising an experimental class (23 students) taught using the PjBL model and a control class (23 students) taught using conventional learning. Data were collected using a validated science process skills test, supported by observations and interviews. The results showed that the average posttest score of science process skills in the experimental class (78.98) was higher than that of the control class (70.28). The independent sample t-test indicated a significance value of 0.001 (p < 0.05), confirming a significant difference between the experimental and control classes. These findings indicate that the Project-Based Learning model effectively enhances students’ science process skills through contextual, collaborative, and investigative project activities and contributes to improving the quality of science learning at the junior high school level
Analisis time series hubungan variabilitas iklim dan produktivitas padi dalam upaya mendukung ketahanan pangan: Studi kasus Kabupaten Bogor periode 2020-2024 Fananda Putri M NOH; Melati Janet Livia Simanjuntak
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3249

Abstract

Rice production in Bogor Regency plays an important role in supporting regional food security. During the 2020–2024 period, rice production fluctuated between approximately 283,000–300,000 tons per year, while harvested area ranged from about 50,000–57,000 hectares. This study aims to analyze climate variability trends—rainfall, average air temperature, and relative humidity—and examine their relationship with rice production and productivity in Bogor Regency. A quantitative time series approach was applied using seasonal decomposition, the Mann–Kendall trend test, Pearson correlation, and simple linear regression. The results show that rainfall decreased by –0.5 mm/year, relative humidity decreased by –0.62%/year, and temperature increased by 0.145°C/year. The Mann–Kendall test confirms that all climate variables exhibit statistically significant trends (p < 0.05). Rice production shows a downward trend with a slope of –48.4 tons/year, while harvested area declines more sharply at –1,747.45 ha/year. However, correlation and regression analyses indicate that rainfall, temperature, and humidity do not have a statistically significant direct effect on rice production or productivity (p > 0.05). The decline in rice production is more strongly associated with the reduction in harvested area than with short-term climate variability. These findings suggest that climate variability plays an indirect role, while structural factors such as land-use change are more dominant in influencing rice production dynamics. The results provide evidence-based input for regional agricultural planning and land protection policies to support sustainable food security.
Analisis peramalan curah hujan di provinsi jawa barat menggunakan pendekatan sarima Talitha Argyanti; Elza Ully Tiara Tampubolon
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3352

Abstract

Rainfall constitutes a fundamental climatic factor with a crucial influence on hydrological processes, agricultural production, and the mitigation of hydrometeorological hazards. In West Java Province, rainfall exhibits substantial variability and a strong annual seasonal cycle, largely driven by intricate monsoon systems and diverse topographical conditions. These characteristics necessitate the application of a reliable modeling framework capable of accurately representing seasonal behavior. This study seeks to analyze and forecast monthly rainfall in West Java Province using the Seasonal Autoregressive Integrated Moving Average (SARIMA) approach, with particular emphasis on assessing its performance in a region marked by pronounced spatial and temporal rainfall variability. Monthly rainfall observations obtained from the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) for the period 1995–2023 were employed in the analysis. Data preprocessing involved the application of a Box–Cox transformation to stabilize variance, followed by seasonal differencing with a 12-month lag to address seasonal non-stationarity. Model identification was conducted through examination of the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF), while model selection relied on the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The findings reveal that the selected SARIMA model successfully represents the dominant annual monsoonal rainfall pattern in West Java, as supported by residual diagnostic tests indicating satisfactory statistical adequacy. Forecasting results further show that the predicted rainfall values closely track historical dynamics, with forecast uncertainty increasing as the prediction horizon extends. Overall, this study underscores the ongoing relevance of SARIMA as a baseline forecasting model in monsoon-influenced regions and offers practical insights for seasonal water management, flood and drought risk reduction, and the enhancement of rainfall-based early warning systems in West Java Province
Inversion response of seismic refraction tomography in geometrically complex karst environments Rahmatun Inayah; Syamsuddin Syamsuddin; Suhayat Minardi; Adella Ulyandana Jayatri; Ika Umratul Asni Aminy; Nazla Izyatin; Karmila Cahya Putri
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3560

Abstract

Geotechnical construction failures and sinkhole risks in critical infrastructure areas are often exacerbated by the unpredictable nature of karst subsurface structures. The identification of subsurface cavities in limestone poses significant challenges due to material heterogeneity and the complexity of wave propagation. This study aims to evaluate the response of seismic tomography inversion models to real-world conditions, particularly in detecting the influence of cavities and secondary structures on P-wave velocity ( ) characteristics. Data acquisition was conducted in the Kalipalung Formation using five seismic refraction lines with a constant inversion scheme of 20 iterations. The results demonstrate that model accuracy is highly sensitive to surface geometry, where the Root Relative Mean Square Error (RRMSE) increased drastically from 7.97% on flat topography to 39.79% on steep slopes due to wavefield scattering phenomena. Physically, the inversion model successfully identified lithological zoning with a  range of 300–3900 m/s. However, the presence of secondary structures, such as massive stalactites and calcite recrystallization, causes cavity anomalies (300–600 m/s) to appear fragmented (spotty) and discontinuous. This phenomenon confirms the presence of volume averaging and blind zone effects that mask the acoustic impedance contrast between air and the host rock. Thus, while seismic tomography is effective in mapping subsurface material heterogeneity, the internal complexity of karst systems and extreme topography remain the primary limiting factors in fully delineating cavity geometry. This evaluation highlights the necessity of topographic static corrections and high-density sensor arrays to reduce interpretation uncertainty in extreme karst zones
Magnetik spinel ferit: Doping Ni₁₋ₓMnₓFe₂O₄ sebagai radar absrorbing material Yolanda Ferliana Putri; Sulthon Nurharmansyah Putra; Gabriel Radika Prabowo
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3713

Abstract

This study investigates the synthesis and characterization of radar absorbing material (RAM) of spinel ferrite based (Ni₁₋ₓMnₓFe₂O) has been performed by hydrothermal method using Mn(NO₃)₂·4H₂O, Fe(NO₃)₃·9H₂O, Ni(NO₃)₂·6H₂O, and CTAB as a precursor. The effect of Mn doping on the structural, optical, and magnetic properties was examined by varying the Mn concentration (x=0-1). X-Ray Diffraction (XRD) analysis confirmed a single-phase cubic spinel structure for all samples, with a shift in diffraction peak observed as the Mn concentration increased, attributable to the difference in ionic radii between Ni2+ and Mn2+. The band gap value decreased with increasing Mn doping, which enhanced electron hopping within the lattice and consequently contributed to the observed dielectric loss. Magnetization tests indicated an increase in magnetization at low doping levels (3 wt%), which strengthened the magnetic loss mechanism, while excessive doping led to a reduction in ferrimagnetic properties, approaching paramagnetic behavior. FESEM revealed agglomerated nanoparticles with sizes ranging form 11–27 nm, this nanoscale dimension is advantageous as it increase the specific surface area for enhanced  interaction with electromagnetic waves. Conclusion, Mn doping successfully enhanced the performance of NiFe₂O₄ system as a candidate for new radar-absorbing materials, with the optimum composition achieved at low doping levels. In practical terms, this material can be applied as a lightweight coating in stealth aircraft technology or as electromagnetic interference (EMI) shielding in modern telecommunications devices.
Analisis miskonsepsi materi buku pelajaran biologi kelas X untuk Sekolah Menengah Atas Yeni Suryaningsih; Abdur Rasyid; Nia Naimatul Robi’ah
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3717

Abstract

Misconceptions refer to understandings of concepts that are inconsistent with scientifically accepted explanations and may hinder the learning process in science education. One potential source of misconceptions is the use of textbooks in classroom instruction. This study aims to analyze the types and percentages of misconceptions found in senior high school Grade X biology textbooks. The research employed a descriptive qualitative approach using content analysis to examine several widely used biology textbooks. Data were collected through document analysis by identifying key biological concepts and comparing them with scientifically accurate references. The results revealed that misconceptions were found in seven main topics, namely the scope of biology, levels of biological organization, ecosystems, biodiversity, classification of living organisms, viruses, and environmental conservation. The highest percentage of misconceptions was found in the ecosystem topic (25%), followed by levels of biological organization (22%) and the scope of biology (18%), while the lowest percentage was observed in environmental conservation (4%). The identified misconceptions included incorrect definitions, improper conceptual hierarchies, misleading illustrations, and deviations from scientific principles. These findings highlight the importance of regular evaluation and careful selection of biology textbooks to ensure conceptual accuracy and support meaningful learning

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