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JKPK (Jurnal Kimia dan Pendidikan Kimia)
ISSN : 25034146     EISSN : 25034154     DOI : -
The JKPK (Jurnal Kimia dan Pendidikan Kimia) is a national journal, published three times a year in April, August, and December, containing research articles on Chemistry and Chemistry education.
Arjuna Subject : -
Articles 122 Documents
Analysis of the Effect of Fixators and pH Conditions on the Color Absorption of Cotton with Natural Teak Leaf Dyes (Tectona grandis Linn. f.) Sigit Priatmoko; Nova Eka Rahmawati; Harjono Harjono; Triastuti Sulistyaningsih; Nala Izzul Muna
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 3 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i3.111696

Abstract

Growing concern about the environmental impacts of synthetic dyes has renewed interest in plant-based colorants for sustainable textile dyeing. Teak leaves (Tectona grandis Linn. f.) are rich in polyphenolic compounds with strong chromophoric properties, but the influence of fixation conditions and dye-bath pH on fabric performance requires further clarification. This study evaluated the effects of mordant type and dye-bath pH on color intensity and washing fastness of cotton fabrics dyed with teak leaf extract. Cotton samples were dyed at pH 4, 6, 8, 10, and 12, then post-mordanted using alum, ferrous sulfate, or tamarind extract. Color characteristics were quantified using the CIE Lab* system, and washing fastness was assessed following SNI ISO 105-C06:2010. Ferrous sulfate consistently produced the darkest shades and the highest washing fastness ratings (TLW 3–4 to 4), likely due to stable metal ligand complex formation among Fe²⁺ ions, dye molecules, and cellulose fibers. Mildly alkaline dye baths (pH 8–10) enhanced color depth, whereas extreme alkalinity (pH 12) decreased dye uptake, presumably because stronger electrostatic repulsion limited adsorption. Overall, teak leaf extract shows strong potential as an eco-friendly natural dye, and the results emphasize that careful mordant selection and pH optimization are essential to achieve durable coloration for sustainable textile processing.
Improving electrochemical sensor performance for detection of 3-MCPD based on moleculary imprinted polymer-Nd2O3-Graphene Febi Indah Fajarwati; Ganjar Fadillah; Rahmat Hidayat
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 2 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i2.106233

Abstract

Palm oil is a key raw material in the food industry with significant strategic value. However, during the refining and deodorization processes, it can produce 3-monochloropropane-1,2-diol (3-MCPD), a compound known to be carcinogenic. Therefore, a detection method with high selectivity and sensitivity is essential. In this study, an electrochemical sensor based on molecularly imprinted polymers (MIPs) was developed and integrated with neodymium oxide–graphene (Nd₂O₃/Gr) nanocomposites. Characterization techniques such as Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM) confirmed the successful fabrication and favorable morphology of the MIPs–Nd₂O₃/Gr composites. The sensor’s performance was evaluated using Differential Pulse Voltammetry (DPV) and cyclic voltammetry methods. The incorporation of Nd₂O₃ and graphene significantly enhanced the sensor’s ability to detect 3-MCPD, demonstrating excellent linearity (R² = 0.9932) across a wide concentration range. Moreover, pH was found to play a critical role in low-concentration detection, influencing the sensor’s response. These findings indicate that the MIPs–Nd₂O₃/Gr sensor offers high selectivity and sensitivity, making it a promising candidate for monitoring 3-MCPD levels in food products and enhancing food safety control.
Determination of Temperature, pH, Salinity, Dissolved Oxygen, TDS, TSS, and Nitrite Content in 42-Day-Old Shrimp Farming Ponds Muhaimin Muhaimin; Putri Meliyani; Dadan Kurnia
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 9, No 3 (2024): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v9i3.93793

Abstract

This study was to determine water quality in shrimps farming through parameters temperature, pH, salinity, Dissolved Oxygen (DO), Total Suspended Solid (TSS), Total Dissolve Solid (TDS) [1,8,2]. Databases for all shrimp farms were created Water quality heavily impacts shrimp health, growth, and disease susceptibility. TDS and TSS were determined by gravimetric analysis, and nitrite was determined by UV-Vis spectrophotometry at 545 nm. Inlets, ponds and outlets were sampled to compare quality differences. The highest temperature (27.9°C) and DO (7.23 mg/L) values were found in the pond, while the inlet had the highest pH (7.54) and salinity (19 psu). TSS (0.055 mg/L) and TDS (20.460 mg/L) were highest in inlet too. The levels of nitrite at the inlet, pond and outlet were an average of 0.0073, 0.0249 and 0.0501 mg/L respectively. Nitrite in shrimp feed was 0.0535±0.0029 mg/L. The analytical parameters for the detection of quercetin were found to have excellent linearity with R² = 0.9959, precision with CV Horwitz ≤10.14%, and accuracy with 90.33–95.04%. The results showed that temperature, pH, salinity, DO, TSS, and TDS levels are suitable and that the acceptable nitrite concentration of the samples fits into the criteria for sustainable shrimp farming
Green Synthesis of Copper Nanoparticles Using Gynura procumbens Leaf Extract as a Bioreductant and Their Antibacterial Activity Against Escherichia coli Nancy Rivana; Suyatno Sutoyo; Radita Yuniar Arizandy; Wahyu Setyarini
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 11, No 1 (2026): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v11i1.116736

Abstract

Copper nanoparticles (CuNPs) are nanomaterials extensively utilized in optics, electronics, biology, catalysis, and as antibacterial agents. Sustainable synthesis approaches employing plant-derived bioreductants have garnered significant attention. In this study, CuNPs were synthesized via green chemistry using Gynura procumbens leaf extract as a bioreductant. Synthesis was performed by combining the leaf extract with 0.1 M CuSO₄ solution at volume ratios of 1:1, 1:2, 1:3, and 1:4. The mixture with the optimal volume ratio was further optimized at pH values of 8, 9, 10, and 11. The resulting CuNPs were characterized by UV-Vis spectroscopy, FTIR, and PSA. Antibacterial activity against Escherichia coli (ATCC 25922) was evaluated using the disk diffusion method. Optimal synthesis was achieved at a 1:2 volume ratio and pH 8. The CuNPs exhibited a maximum UV-Vis absorption at 316 nm, an average particle size of 8.23 nm, and a polydispersity index of 0.1631. FTIR spectra confirmed Cu–O bond vibrations at 457.64 and 617.14 cm-1. The synthesized CuNPs demonstrated strong antibacterial activity against E. coli, with an inhibition zone diameter of 13.89 ± 0.45 mm. These findings suggest that CuNPs synthesized via green methods using G. procumbens extract as a bioreductant have potential as antibacterial agents, particularly against E. coli.
Measuring Students' Perceptions of Constructivist Learning Environments Linked to Understanding of Rasch Modeling-Based Chemical Concepts Sofia Buoki; Lukman Abdul Rauf Laliyo; Haris Munandar; Akram La Kilo; Masrid Pikoli; Julhim S. Tangio; Najmah Najmah
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 2 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i2.102949

Abstract

This study aims to evaluate the suitability of data obtained from the Constructivist Learning Environment Survey instrument and a multiple-choice chemistry understanding test, as well as to examine the relationship between students' perceptions of the constructivist learning environment and their understanding of chemistry concepts. A non-experimental, quantitative descriptive approach was employed, involving 519 12th-grade science students from five high schools in Gorontalo Province during the even semester of the 2024/2025 academic year. Data analysis was conducted using the Rasch model via Winsteps 3.73 software to assess instrument quality, and SPSS software to test data normality and analyze correlations. The results indicated that both instruments were valid and reliable, with person reliability of 0.81, item reliability of 0.99, and Cronbach’s Alpha exceeding 0.80—classified as excellent. A Pearson correlation analysis revealed that the calculated r value exceeded the critical value (rcount= 0.135 > rtable= 0.087), indicating a statistically significant, albeit weak, positive relationship between students’ perceptions and their chemistry understanding. The hypothesis testing results showed that the null hypothesis (H₀) was rejected and the alternative hypothesis (H₁) was accepted, confirming the existence of a relationship between students’ perceptions of constructivist learning environments and their understanding of chemistry concepts.
Project Based Chemistry Learning on the Topic of Making Biodegradable Film from Corn Cobs: A Qualitative Content Analysis Naila Azizah; Asep Supriatna; Triannisa Rahmawati
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 9, No 3 (2024): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v9i3.90142

Abstract

Plastic waste has brought us an enormous environmental challenge. One solution that could be done to solve the problem of plastic waste is to switch to ordinary plastic using biodegradable film. Corn cob is a type of lignocellulosic waste. And it could be used as biodegradable film material. This research aims to construct a Teaching-Learning Sequence (TLS) in film formation from corn cobs. The Teaching-Learning Sequences (TLS) that were designed can be made into lesson plans or learning materials with the Project-Based Learning (PjBL) model that fits with the "Projek Penguatan Profil Pelajar Pancasila (P5)" program in the current curriculum in Indonesia. This research is based on qualitative content analysis. It has four stages: collecting material, making a descriptive analysis, selecting categories, and evaluating. Data analysis and validation through experts were used. These validators included two experienced chemistry teachers and two chemistry education lecturers. Therefore, the validated Teaching-Learning Sequence (TLS) applies to learning activities. The discussion is split into four points: the first is the rate of plastic waste, the second is what corncobs consist of and their potential, the third is the process of creating biodegradable film, and the fourth point is the advantage of converting corncob waste to biodegradable film.
An Augmented Reality-Based Interactive Flipbook to Foster Conceptual Change in Learning Chemical Reaction Rates Ananda Oktaviani; Aldi Firman Syahputra; Diah Ayu Apriliasari; Moh Threewahyu Saifulloh; Eva Ayu Safitri; Kusumawati Dwiningsih
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 3 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i3.109225

Abstract

Misconceptions about chemical reaction rates often persist because the topic involves abstract processes that are difficult to visualize through conventional instruction. This study developed and evaluated an Augmented Reality (AR) based interactive flipbook for reaction rate learning, focusing on validity, practicality, and initial effectiveness in reducing misconceptions and supporting conceptual change. Research and Development (R and D) was conducted using a modified 4D model limited to the define, design, and develop stages. Content and construct validity were assessed by chemistry education experts, learning media experts, and chemistry teachers. Practicality was examined through student response questionnaires and observations of learning activities. Effectiveness was measured using a three tier diagnostic test, with pretest and posttest results analyzed using the Wilcoxon test and effect size. Expert evaluation indicated that the flipbook met validity criteria, with mode scores of at least 4 across all assessed aspects. Practicality outcomes were high, reflected by a 90.11% questionnaire score and 95.87% activity observation score. The intervention reduced average misconceptions by 55.72%, supported by a significant difference (p < 0.05) and a very large effect size (0.846). Results suggest AR integrated flipbooks can strengthen visualization of reaction rate concepts and facilitate conceptual change by directly targeting common misconceptions. Further studies with broader implementation are recommended to strengthen generalizability.
Rasch PCM Diagnostic Analysis of Critical Thinking Item Responses in Indonesian Atomic Structure Learning Lukman A.R Laliyo; Yeyen Apriani Katili; Astin Lukum; Akram La Kilo; Masrid Pikoli
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 11, No 1 (2026): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v11i1.112310

Abstract

Measuring critical thinking skills (CTS) in the topic of atomic structure requires a diagnostic instrument capable of capturing students' reasoning patterns accurately, rather than merely distinguishing between correct and incorrect answers. This study aimed to develop and evaluate a complex multiple-choice diagnostic instrument based on the Rasch model to measure students' CTS on the concept of atomic structure. The instrument comprised ten items developed based on Facione's six dimensions of critical thinking: interpretation, analysis, evaluation, inference, explanation, and self-regulation. Data were collected from 850 senior high school students in Gorontalo, Indonesia, and analyzed using the Partial Credit Model (PCM) approach with WINSTEPS 4.5.5 software. Results indicated that item reliability was very high (0.99; separation = 10.63), while person reliability was moderate (0.61; Cronbach's Alpha = 0.65). Infit and Outfit MNSQ values ranged within the ideal threshold (0.99–1.00) with ZSTD values approaching zero, confirming adequate model fit. Category Probability Curve (CPC) analysis confirmed that response categories functioned sequentially, while the Wright Map demonstrated a progressive difficulty hierarchy from the interpretation to the self-regulation dimension. Differential Item Functioning (DIF) analysis revealed differential difficulty levels based on gender and grade level, particularly for self-regulation items, which proved more challenging for female students and Grade XI students. These findings underscore the importance of considering cognitive factors and learning experience in developing Rasch-based CTS diagnostic instruments for chemistry education
A Portable Laboratory Kit for Student Self-Learning on Factors That Affect Reactions Tuszie Widhiyanti; Jihan Assyifa Fatihah; Sri Mulyani; Wiji Wiji
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 10, No 1 (2025): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v10i1.84495

Abstract

In chemistry practicums, students can enhance their scientific thinking skills and develop scientific attitudes. However, in some underprivileged schools, particularly during the COVID-19 pandemic, practicum activities were restricted due to the unavailability of laboratory tools and materials. To address this issue, a portable laboratory kit was developed to support practical learning experiences. This study aims to develop a portable laboratory tool model, integrating the Predict-Observe-Explain (POE) approach, to improve students' learning outcomes on reaction rates. This research employs a mixed-methods approach with an embedded experimental model, utilizing a one-group pretest-posttest design. The portable laboratory kit includes hands-on tools and materials, student worksheets, and teacher guides aligned with POE learning syntax. Three experts conducted validation and implementation involving 24 high school students. A novelty of this study lies in the practical worksheet design, which follows the POE learning syntax and fosters intertextual relationships across macroscopic, submicroscopic, and symbolic representations. The findings reveal a significant difference between pretest and posttest scores regarding students' understanding of factors affecting reaction rates. Specifically, the number of students who demonstrated complete understanding after the intervention was: nine for the effect of structure on reaction rate, 13 for the effect of ionization energy on reaction rate, and 20 for the effect of surface area on reaction rate. Regarding catalysts, 15 students fully understood the effect of a homogeneous catalyst, and 18 students understood the effect of a heterogeneous catalyst. Interviews with teachers and students further indicated that students found the approach novel, motivating them to engage more deeply. Additionally, many students expressed feeling particularly challenged during the prediction stage of the POE learning process.
Impact of Albizia Wood (Albizia Chinensis) Adsorbent on the Reduction of Pollutants and Copper in Industrial Wastewater Yulia Sukmawardani; Siti Jualiah; Cucu Zenab Subarkah; Tri Wahyu Agustina; Ade Yeti Nuryantini; Ida Farida
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 9, No 3 (2024): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v9i3.89076

Abstract

This paper investigated the possibility of using mothball tree wood to absorb copper from industrial wastewater. The adsorbent is made from sawdust, activated with 3N H3PO4 for 24 hours to increase its porosity and surface area, and examined its morphology and microstructure by Scanning Electron Microscope (JEOL-6510A). Pollution abatement experiments were carried out with uncontrollable samples from these three original rivers contaminated by textile, laundry, and industrial revenues. Copper content was determined by Atomic Absorption Spectroscopy (AAS); as well as various parameters such as the dissolved oxygen (DO), BOD5,codconsumed nitrates nitrogen, TDS, and TSS measured. As a result of the adsorption process, a significant reduction of pollutants was achieved. The concentrations of copper in samples reduced to lower than measurable levels or became "trash elements," while initial Cu content turned to 0.017ppm, 0.006ppm, and 0.026ppm. Gains included incorruptible DO rates (54.17% textile)d5 BOD falls by 50.05%, 58.56%, and 68.94%, respectively. COD decreased by 33.33%, 50.00%, and 25.00%. Lower TDS enrolled 3.9%, 12.9%, 57.4% TSS went down to 96.38%, 79.17%, 39.76%. These results illuminate the potential of using Albizia wood as an adsorption medium in wastewater treatment, with pollution reductions evident. Future research can further this by using more advanced analysis methods such as XRD,FTIR, turbidity tests and looking at other natural adsorbent materials for improving water treatment.

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