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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 114 Documents
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The Impact of Experimental Research-Based Learning Modules on Students' Affective Domain: A Study on Religious Moderation in Chemistry Education Mayasri, Adean; Reza, Muhammad; Asyifa, M. Rizki; Ulayya, Kania
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.v9i3.92058

Abstract

Islamic Religious Colleges (PTKI) 's key mission is to promote religious moderation for students. This aspect is currently missing in the Chemical Education Studies Program curriculum. To address this, we constructed a teaching module that applied the 4S-TMD method (Selection, structuring, characterization, and didactical reduction). This work is based on experimental data of using waste palm coconut shells as activated carbon for methylene blue dye adsorption, which formed two modules: Inorganic Chemistry II (Module A) and Instrumental Analysis Chemistry (Module B). The selection phase was designed with graduate learning outcomes (GLO), learning content, and indicators of religious moderation in module design. The item content validity index (I-CVI), measuring content validity, reached an excellent average of 0.98. During the structuring phase, laboratory experimental results were mapped conceptually. Module A performed excellently, with a validity of 85%, whereas Module B was below 80%. After the refinement steps, both modules reached 100% validity. The measure of the value of religious moderation of GLO indicates >60% for 10 variables, whereas the self-assessment of the nine values of religious moderation of students shows very good (above 20%). This is the first study applying religious moderation to chemistry education and showed that the 4S-TMD method of implementing the 4S-TS method was effective (4.9/5.0 for eligibility). Sow enjoyably integrates chemistry and science education with similar values, which can take place using their type.
AI-Assisted Ethnographic Reconstruction of Granulated Palm Sugar Indigenous Food Chemistry as a Contextual Resource for Chemistry Learning Sandi, Puri Nurfadhilah; Harjono, Harjono; Sumarni, Woro
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.v11i1.112643

Abstract

This study analyzes traditional granulated palm sugar (gula semut) production as an ethno-chemical system for contextual carbohydrate food chemistry learning through an AI-assisted applied ethnographic approach. Public YouTube videos and short online news features were treated as mediated field sites. From more than 200 sources, 53 eligible videos were selected and transcribed through a systematic data-processing workflow. Data analysis followed Miles and Huberman’s interactive model and Strauss and Corbin’s open–axial–selective coding, supported by a large language model to identify recurring practices and relate them to underlying chemical mechanisms. Four production stages were reconstructed, covering sap collection and initial processing, heating–concentration–early crystallization, crystallization and granulation, and drying–stabilization–packaging. The heating, concentration, and early crystallization stage emerged as the central physicochemical control window, where producers regulate fire intensity, foam behavior, evaporation, viscosity, color, and aroma to control concentration increase, boiling-point elevation, non-enzymatic browning, and the approach to supersaturation. Environmental conditions, fuel choice, cleanliness, and informal pH boundaries also function as additional control layers influencing product quality. The study generates practice-to-concept evidence maps and exemplar learning activities aligned with curriculum topics such as colligative properties, thermochemistry, reaction rates, and physical versus chemical change. These findings suggest that ethno-chemical reconstruction can support culturally grounded chemistry education by transforming local production practices into scientifically meaningful and pedagogically usable learning contexts
A Simple Colorimetric Detection of Bisphenol A in Exposed Drinking Bottles Using a Paper-Based Sensor Fadillah, Ganjar; Guritno, Agung; Ashri, Akhmarin Rista; Lesmana, Putri Fahria; Fatmawati, Fatmawati; Zahardin, Gus Nizar; Apriyani, Nur
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.v10i1.100651

Abstract

Bisphenol-A (BPA) is a chemical widely used in the production of polycarbonate plastics and epoxy resins, commonly found in bottled water containers. BPA migration into drinking water can occur due to variations in pH and temperature during storage, posing potential health risks with prolonged exposure. This study focuses on the development of a rapid and accurate colorimetric paper sensor for BPA detection. The sensor employs a chromogenic reagent that selectively reacts with BPA, resulting in a visible color change from yellow to dark red. Experimental results demonstrated that the sensor exhibits high sensitivity, with a limit of detection (LOD) of approximately 0.29 mmol L⁻¹. Validation using water samples from plastic bottles exposed to environmental conditions confirmed the sensor’s capability to effectively identify BPA leaching. Additionally, the sensor showed excellent stability, indicated by a relative standard deviation (%RSD) of 0.62%, and high accuracy, with recovery values ranging from 100.87% to 107.39%. These findings suggest that the developed colorimetric paper sensor is a promising tool for on-site monitoring of BPA contamination in drinking water, providing a simple, fast, and cost-effective alternative to conventional analytical methods.
Total Synthesis and Molecular Docking study of Peptide AWVDY as an Anti-inflamation Agent Aloanis, Anderson Arnold; Najoan, Jessika Maya Jovanka; Paat, Vlagia Indira; Rumengan, Stefan Marco; Rumampuk, Rymond Jusuf
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.v10i2.103623

Abstract

Bioactive peptides are known for their diverse biological functions, many of which support health and well-being. In this study, we synthesized and evaluated the anti-inflammatory potential of the peptide AWVDY, derived from oyster (Crassostrea rivularis). The synthesis was performed using the solid-phase peptide synthesis (SPPS) method, applying the Fmoc strategy on 2-chlorotrityl chloride (2-CTC) resin, and achieved a high yield of 95.83%. The resulting peptide was characterized using Time-of-Flight Mass Spectrometry (TOF-MS), which detected a peak at m/z [M+H⁺] 653.1418, consistent with the expected molecular formula C₃₂H₄₀N₆O₉. This was further validated by analytical HPLC, showing a retention time of 22.596 minutes. Molecular docking studies indicated that AWVDY binds favorably to the pro-inflammatory cytokines TNF-α and Interleukin-6, with binding affinities of -10.360, -10.430, and -8.960 kcal/mol, respectively. These findings suggest that AWVDY may act as a dual-target peptide capable of modulating inflammatory pathways, highlighting its potential as a promising candidate for the development of new anti-inflammatory therapeutics. 
Effect of Glycerol Modification on Mn-Doped ZnO–Chitosan Membranes for Tartrazine Photodegradation Soimah, Nur Faridatus; Khabibi, Khabibi; Lusiana, Retno Ariadi
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.v10i3.107512

Abstract

This study evaluates the photocatalytic performance and charge transfer behavior of Mn-doped ZnO chitosan membranes, both with and without glycerol, for the degradation of tartrazine under visible light. The membranes were prepared by homogeneous mixing using chitosan as the polymer matrix, ZnO as the photocatalyst, Mn2+ as the dopant, and glycerol as a plasticizer. Membrane morphology and elemental distribution were examined using SEM and EDX, and supported by physical tests. Glycerol increased membrane flexibility and mechanical strength, but reduced porosity and surface hydrophilicity, indicating a denser polymer network and water accessibility. Photocatalytic activity was quantified from UV Vis monitoring of tartrazine and fitted to pseudo-first-order kinetics. The glycerol-containing membrane showed a higher rate constant (k = 0.4398 h−1) than the membrane without glycerol (k = 0.0893 h−1). The performance improvement is attributed to better catalyst retention and dispersion in the matrix, which supports photon utilization and charge separation. Mechanistic interpretation suggests that Mn2+ acts as an electron trap, thereby suppressing electron-hole recombination and promoting the formation of reactive species. At the same time, glycerol can suppress the generation of hydroxyl and superoxide radicals by limiting contact among tartrazine, water, and photocatalytically active sites. Overall, the results reveal a trade-off between transport properties and catalytic efficiency, identifying glycerol content as a key parameter for optimizing Mn-doped ZnO chitosan membranes for dye wastewater treatment.
Synthesis of Poly Acrylic Acid (PAA) Modified Silver Nanoparticles, Using Trisodium Citrate for Heavy Metal Detection Pratiwi, Yussi; Widyaresti, Adelia; Hadinugrahaningsih, Tritiyatma; Nanda, Elsa Vera; Anisa, Devi Nur
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 Saputri, Arfinda Hanung; Solikah, Wahyu Yuliana; Estiningsih, Daru; Jannah, Nurul
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 Kiswandono, Agung Abadi; Aprilia, Kharisma Citra; Rahmawati, Anisa; Khairati, Rusyda Maulida; 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 Arthamena, Vegha Dwi; Ayubi, Mizzan; Atun, Sri; Putri, Sarmila Eka
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 Tjandra, Yozef; Halim, Giovania; Briano, Jansen; Tjahjono, Martin
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. 

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