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JKPK (Jurnal Kimia dan Pendidikan Kimia)
Published by Universitas Sebelas Maret
ISSN : 25034146     EISSN : 25034154     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry
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
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Synthesis of Poly Acrylic Acid (PAA) Modified Silver Nanoparticles, Using Trisodium Citrate for Heavy Metal Detection Yussi Pratiwi; Adelia Widyaresti; Tritiyatma Hadinugrahaningsih; Elsa Vera Nanda; Devi Nur Anisa
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.v9i3.91340

Abstract

Therefore, this project was to prepare and characterize silver nanoparticles (AgNPs) and study their application for colorimetric detection of heavy metal ions. AgNPs are synthesized by a bottom-up method in which AgNO3 serves as the precursor, which is then reduced using trisodium citrate and stabilized by 1 vol.% polyacrylic acid (PAA). Trisodium citrate facilitates the reduction of Ag+ ions due to its negatively charged carboxylic groups, whereas PAA enhances stability and selectivity. Under the best reaction parameters condition, AgNPs produced brown-yellow colloids with a Surface Plasmon Resonance (SPR) peak of 403 nm. A particle size analysis showed an average particle diameter of 29.9 nm, with a standard deviation σ of 0.482. Fourier Transform Infrared Spectroscopy (FTIR) analysis confirmed that hydroxyl groups -OH and carbonyl groups C=O play a role in reducing Ag+ ions. Because they are highly active, AgNPs can respond to Hg2+ in tests, marking the color change from brown-yellow to transparent white within about one minute. Methods testing for validation of linearity revealed an R2 = 0.9985, and a LOD and LOQ are ca. 0.074 ppm and 0.224 ppm, respectively. At 700 ppm Hg2+, the selectivity was good. These results demonstrate that AgNPs are sensitive and efficient sensors of Hg2+ ions and indicate how to find promising new ways to detect heavy metals in environmental monitoring.
Molecular Docking Study of Active Compounds in White Radish (Raphanus sativus L.) on Progesterone Receptor (PRG) as an Anti-Cancer Agent Arfinda Hanung Saputri; Wahyu Yuliana Solikah; Daru Estiningsih; Nurul Jannah
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.v11i1.108887

Abstract

White radish (Raphanus sativus L.) contains various bioactive compounds that may contribute to different biological activities. This study aimed to evaluate the interaction of selected white radish compounds with the progesterone receptor (PRG) using an in silico molecular docking approach as a preliminary step for anticancer screening. Molecular docking was performed using AutoDock 4, BIOVIA Discovery Studio, and PyMOL to assess binding affinity, Root Mean Square Deviation (RMSD), and amino acid interactions. Among the five tested white radish compounds, glucoraphanin had the best docking score (–4.8 kcal/mol) for the progesterone receptor. However, this binding affinity remained weaker than that of the control ligand tamoxifen (–6.19 kcal/mol). Molecular interaction analysis indicated that glucoraphanin formed interactions with several key amino acid residues within the receptor binding site. Docking validation produced an RMSD value of <2 Å, indicating acceptable docking reliability. These findings suggest that glucoraphanin from white radish may interact with the progesterone receptor and warrant further investigation. Nevertheless, further experimental studies are required to confirm its potential biological activity
Analysis of Nitrogen Dioxide as Air Pollutant in Office, Industrial, Residential, and Transportation Areas in Lampung Province Agung Abadi Kiswandono; Kharisma Citra Aprilia; Anisa Rahmawati; Rusyda Maulida Khairati; Rinawati Rinawati
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.v10i1.92581

Abstract

Monitoring air quality can be undertaken in industrial areas, residential areas, offices, and transportation hubs to maintain public health and sustainable environmental practices in Lampung Province. The province suffers unique challenges, including a mix of emission sources (industrial activities, vehicular traffic, and domestic operations). Industrial zones have high levels of nitrogen dioxide (NO₂) due to manufacturing, transportation hubs have increased NO₂ due to vehicle emissions, and residential regions provide background pollution from household pollutants. Such complex spires must be addressed to achieve acceptable levels of air quality. This research aimed to analyze NO₂ concentrations on four stations in 15 districts of Lampung Province using the Air Pollution Index Values (ISP - Indeks Standar Pencemaran Udara). To assess the coupling relationship between the NO₂ concentrations and seasonal variations over 2 years, Statistical Analysis of Variance (ANOVA) was analyzed. The results showed that NO₂ levels had higher concentrations along transportation routes but were still safe and non-hazardous according to Regulation No. 41 of 1999. The average NO₂ concentrations in the districts were also below the regulatory threshold, reflecting good air quality management in the region. The ANOVA analysis results with the Anderson-Darling test show p-values of 0.322 (rainy season) and 0.258 (dry season), both above the 0.05 significance level. These results imply that the data follows a normal distribution and that there are no significant differences between the districts' average NO₂ concentrations by season. The study highlights the necessity of continued surveillance and targeted interventions to address air quality issues in Lampung Province.
Effectiveness of a Problem-Based Learning Model Integrated with Socio-Scientific Issues to Improve Science Process Skills of High School Students Vegha Dwi Arthamena; Mizzan Ayubi; Sri Atun; Sarmila Eka Putri
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.v10i1.97608

Abstract

Problem-Based Learning (PBL) integrated with SSI (SSI-integrated PBL) is a learning model used to enhance science process skills based on the context of 21st-century skills. This study intends to investigate the difference in science process skills between students taught by using SSI-integrated Problem-Based Learning and those taught by using Problem-Based Learning on salt hydrolysis. Four classes (N = 136) at a high school in Mandau were the study participants. This study used two treatments: the experimental group using SSI-integrated Problem-Based Learning (PBL) and the control group using Discovery Learning (DL). Relevant data were collected using the science process skills instrument. The data were analyzed using ANOVA. The finding was confirmed for the PBL model with science process skills, with a significance value of < 0.05. Looking at the mean value, the average for students who take PBL differs from that of students who take DL. The PBL model in the experimental class can enhance science process skills better than in the control class. The study's findings were compiled via discussion of the literature review and recommendations process. The SSI-integrated PBL approach is significantly better than the DL model in enhancing science process skills. The percentage of the contribution of SSI-integrated PBL to science process skills is 8.9%, which shows a high influence.
Smartphone-Based Digital Image Analysis for Qualitative Classification of Food Dyes Using Machine Learning: Effects of Color Space and Lighting Conditions Yozef Tjandra; Giovania Halim; Jansen Briano; Martin Tjahjono
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.v10i2.107520

Abstract

Smartphone-based digital image analysis (DIA) has emerged as an affordable and accessible method for chemical analysis, particularly in colorimetry. While most existing studies have focused on quantitative applications, this study explores a machine learning–assisted DIA approach for the qualitative classification of synthetic food dyes. Digital images of nine food dyes solutions (Carmoisine, Sunset Yellow, Allura Red, Ponceau 4R, Tartrazine, Fast Green FCF, Brilliant Blue FCF, Quinoline Yellow WS, and Indigo Carmine), were captured under both controlled (closed) and open lighting conditions using a smartphone camera. The images were subsequently processed to extract color values in different color spaces, namely RGB, normalized RGB (rgb), HSL, and CIELAB. These values served as input features for a k-nearest neighbors (KNN) classifier trained to identify the dye present in each solution. The KNN model performed well on model solutions, with at least 86% accuracy across all color spaces and lighting conditions. To assess practical applicability, the classifier was also tested on seven commercial food and health products. The results show that HSL color space yielded the highest classification accuracy in the commercial sample testing, across both lighting setups, with the open condition consistently producing better performance. These findings demonstrate the potential use of smartphone-based DIA combined with machine learning for low-cost, portable, and reliable solutions for qualitative colorimetric analysis. 
Optimization of Antibacterial Edible Film Formulation Based on Chitosan, Velvet Bean Ethanol Extract, and Cinnamon Essential Oil Sri Retno Dwi Ariani; Tyas Dwi Rohmatun; Endang Susilowati; Widiastuti Agustina Eko Setyowati; Ifah Munifah; Khoirur Rohmaniatush Sholihah
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.v9i3.90152

Abstract

The existing research on edible films as packaging materials has maintained that they are better in constituent materials, composition, and functionality. Due to their good bioactivity, edible films are utilized for packaging, which is considered bioactive. The recent study focused on using chitosan-velvet bean (Mucuna pruriens (L.) DC.) based edible bioactive packaging formulation for antibacterial activity. Velvet bean ethanol extract (V) accompanied by cinnamon (Cinnamomum burmannii (Ness) BL) essential oil (C) which is effective as an antibacterial against Escherichia coli ATCC 25922 and Staphylococcus aureus ATCC 25923. Based on this study, the ascertained concentrations of V and C can generate the most optimum edible film associated with antibacterial activity and characterize the physical properties and morphology of the most optimum formulation of antibacterial edible film. It was proved that by addition of 30% V and 3.0% C, the most optimum edible film can be produced, which has maximum antibacterial activity against E. coli ATCC 25922 (19.36 mm strong) and S. aureus ATCC 25923 (18.94 mm strong). Moreover, this formulation boosts the thickness, tensile strength, and solubility of the film and simultaneously reduces the film's elongation, WVTR, and WVP. The edible bioactive packaging formulation produced thickness, tensile strength, solubility, percentage elongation, WVTR, and WVP values of 0.179 mm, 0.318 Mpa, 0.057%, 10.096%, and 3.747 g/m2.d, 8.586 g/m.d, respectively. The surface of the edible film still had some degree of porosity and texture, according to the morphology.
Development and Evaluation of Articulate Storyline-Based Interactive Media: Integration of Socio-Scientific Issues in Hydrocarbon Learning to Enhance Students’ Critical Thinking Skills Miranda Nora'in; Arif Sholahuddin; Norsifa Humaira; Febry Rosita; Siti Khadijah; Muhammad Ismi Rezani
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.v10i2.105973

Abstract

Critical thinking enables students to make informed decisions, resist misinformation, and construct deeper disciplinary understanding, yet it remains underdeveloped in many classrooms. This study developed and evaluated an interactive hydrocarbon learning medium created with Articulate Storyline and integrating socioscientific issues (SSI) within the ADDIE framework (Analysis, Design, Development, Implementation, Evaluation). The research was conducted at an Islamic boarding school in Banjarmasin with 61 students (individual try-outs: n = 5; small-group trials: n = 10). Instruments—questionnaires, observation sheets, and tests—were aligned to Facione’s six critical-thinking indicators and used to assess validity, practicality, and effectiveness. Content and media validity were high (expert ratings: 0.89 and 0.88), internal consistency was acceptable (Cronbach’s alpha = 0.86), and practicality was rated very good (mean = 4.59). Effectiveness analyses showed substantial learning gains (normalized gain, n-gain = 0.77 and 0.78) and statistically significant pre- to post-improvements (paired t-tests, p < 0.001), indicating the medium effectively enhances students’ critical thinking in chemistry. Limitations include the focus on a single topic (hydrocarbons), a single site with a modest sample, and no assessment of other skills or long-term retention. Within these bounds, the media demonstrate strong quality and practical classroom value, supporting teachers to design engaging, student-centered instruction that cultivates deeper thinking.
Green Synthesis of Silver Nanoparticles using Lemongrass Leaf (Cymbopogon citratus) Extract as a Reductant for Novel Colorimetric Mercury(II) Detection Yussi Pratiwi; Yogi Febrian; Listya Eka Anggraini; Harfi Amania Khansa; Riskia Chandra Widianti
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.v10i3.109804

Abstract

Mercury(II) contamination in water poses serious risks to human health, requiring rapid detection. This study develops a fast colorimetric sensor based on silver nanoparticles (AgNPs) synthesized using lemongrass (Cymbopogon citratus) leaf extract as a green reducing agent. Synthesis conditions were optimized, the AgNPs were characterized, and analytical performance was validated using standard parameters. Sensor responses were monitored by UV Vis spectroscopy through changes in the surface plasmon resonance (SPR) band and quantified from absorbance variations. The optimum synthesis produced a reddish brown AgNP colloid at 45 minutes, 3 mM AgNO3, and 10% lemongrass extract. The nanoparticles showed a maximum absorption at 432 nm and an average size of 150.8 nm. Validation results indicate excellent selectivity for Hg2+ and a pronounced change in the overall SPR signal at 600 ppm Hg2+. The method was linear over 0 to 0.8 ppm Hg2+ with R2 = 0.9988 (y = 0.04x + 0.0722). The limits of detection and quantification were 3.681 × 10^-9 ppm and 1.115 × 10^-8 ppm, respectively. Molar absorptivity reached 10.84 × 10^3 L mol^-1 cm^-1 at 416 nm. These results demonstrate that lemongrass mediated AgNPs provide a simple, rapid, and sensitive platform for mercury detection in water.
LC-MS/MS Metabolite Profiling of Meistera aculeata (Roxb.) Škorničk. & M.F. Newman (Susube) and Preliminary Brine Shrimp Lethality Screening Megawati Megawati; Muhamad Jalil Baari; Carla Wulandari Sabandar
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.v11i1.113611

Abstract

Meistera aculeata (Roxb.) Škorničk. & M.F. Newman is a species of the Zingiberaceae family distributed in Southeast Sulawesi, Indonesia, particularly in Konawe Regency. The fruits are traditionally consumed and used as a culinary spice by the Tolakinese community. However, information regarding its metabolite composition and biological activities remains limited. This study aimed to profile putative metabolites using LC–MS/MS and to evaluate preliminary lethality using the Brine Shrimp Lethality Test (BSLT). Dried powders of rhizomes, stems, leaves, and fruits were extracted by maceration with methanol. Metabolite annotation was performed using LC–MS/MS, while cytotoxic potential was assessed through BSLT. The analysis tentatively detected 13 metabolites dominated by flavonoids, phenylpropanoids, and terpenoids. Methanol extracts of rhizomes, stems, leaves, and fruits showed toxic activity with LC₅₀ values of 56.6 ± 9.9, 70.1 ± 8.1, 71.6 ± 9.3, and 115.5 ± 13.5 μg/mL, respectively, compared with K₂Cr₂O₇ as a positive control (LC₅₀ 11.5 ± 1.6 μg/mL). Literature comparison suggests that although these metabolites have been reported in other plant species, their occurrence in M. aculeata is reported here for the first time. The BSLT results indicate preliminary cytotoxic activity, suggesting the presence of bioactive compounds. These findings support further chemotaxonomic and pharmacological investigations to identify potential marker compounds and expand knowledge of metabolites within the Zingiberaceae family, particularly the genus Meistera.
Molecular Docking Study of Active Compounds in White Radish (Raphanus sativus L.) on Cyclooxygenase-2 (COX-2) Receptor as an Anti-Inflammatory Agent Abdul Rahman Lubis; Wahyu Yuliana Solikah; Daru Estiningsih; Nurul Jannah
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.v10i1.99982

Abstract

Inflammation is a natural endogenous response to injury, infection, or external stimuli, and it plays a critical role in the pathogenesis of various diseases, including arthritis and osteoarthritis. Despite their effectiveness, the long-term use of nonsteroidal anti-inflammatory drugs (NSAIDs) often leads to several adverse effects, particularly gastrointestinal complications. Therefore, it is crucial to explore safer alternative therapies. This study aimed to evaluate the potential of bioactive compounds found in white radish (Raphanus sativus L.) as alternative anti-inflammatory agents using in silico molecular docking analysis against the cyclooxygenase-2 (COX-2) enzyme. Molecular docking simulations were performed using AutoDock Vina software, with the COX-2 structure obtained from the Protein Data Bank (PDB ID: 4PH9). The docking results indicated that glucoraphanin and squalene exhibited strong binding affinities with binding energies of –8.53 kcal/mol and –8.62 kcal/mol, respectively. Glucoraphanin was found to form hydrogen bonds with key active site residues similar to the interaction observed with ibuprofen, a standard NSAID. Meanwhile, squalene predominantly engaged in hydrophobic interactions with the enzyme. These findings suggest that glucoraphanin and squalene have the potential to act as effective COX-2 inhibitors and could serve as safer alternatives to conventional NSAIDs. However, further in vitro and in vivo studies are essential to validate their therapeutic potential and safety profiles.

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