Data Acquisition System for Exothermic and Endothermic Reaction: A Novel Laboratory Approach in Chemistry Learning

Siti Nuryani; Ijang Rohman; Miarti Khikmatun Nais; Gun GUn Gumilar; Muhamad Nurul Hana

doi:10.24036/eksakta/vol27-iss03/697

EKSAKTA: Berkala Ilmiah Bidang MIPA

Open Access

Data Acquisition System for Exothermic and Endothermic Reaction: A Novel Laboratory Approach in Chemistry Learning

Siti Nuryani ¹

, Ijang Rohman ¹

, Miarti Khikmatun Nais ¹

, Gun Gun Gumilar ¹

, Muhamad Nurul Hana ¹

¹ Study Program of Chemistry Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia

Published 2026-06-30

Vol. 27 No. 03 (2026) PAGES 349-360

DOI 10.24036/eksakta/vol27-iss03/697

Views / Downloads 60 32

Download PDF

Abstract

The determination of exothermic and endothermic reactions using conventional thermometers is often constrained by limitations in visualization and objectivity during practical activities. This study aims to investigate the performance of a DAS as an alternative for classroom practical work. The method involved characterizing thermal dynamics through a Design Science Research (DSR) approach using the MEDS evaluation framework. To record real-time temperature profiles, a thermistor sensor was integrated into the Mixer Mini and MGA as the DAS. Calcium carbide reaction and urea dissolution were utilized as the thermochemical systems. The analysis results show that the DAS: (1) is capable of detecting phenomena that go undetected using conventional methods; (2) exhibited strong baseline stability during the pre-reaction phase with a slope approaching zero and high reliability under homogeneous conditions, indicated by RSD values of 0.45% and 3.44% for urea dissolution and the calcium carbide-water reaction, respectively; and (3) showed stable internal consistency despite deviations from literature values caused by external factors. The novelty of this research lies in the operational efficiency of a self-contained measurement system that operates without the need for coding procedures. Consequently, the DAS provides a practical, objective, and scientifically valid solution to enhance data integrity in thermochemical analyses.

References

1

[1] Atkins, P. W., De Paula, J., & Keeler, J. (2023). Atkins' physical chemistry. Oxford university press.

2

[2] Petrucci, R. H., Herring, F. G., Madura, J. D., & Bissonnette, C. (2011). General Chemistry: Principles and Modern Applications, 11e. Pearson Prentice Hall. Toronto: Canada.

3

[3] Choi, H., Soeriawidjaja, B. F., Lee, S. H., & Kwak, M. (2022). A convenient platform for real‐time non‐contact thermal measurement and processing. Bulletin of the Korean Chemical Society, 43(6), 854-858.

4

[4] Kossoy, A. (2023). Reaction calorimetry: Main types, simple theory, and application for kinetic study—A review. Process Safety Progress, 42(3), 417-429.

5

[5] Zhu, H., Wang, L., Feng, J., & Neuzil, P. (2024). The development of ultrasensitive microcalorimeters for bioanalysis and energy balance monitoring. Fundamental research, 4(6), 1625-1638.

6

[6] Widarti, H. R., Mahartika, I., & Manik, A. C. (2025). Wawasan Pendidikan Kimia: Sebuah Perspektif Ilmu. Deepublish.

7

[7] Pearce, J., Veltcheva, R., Tucker, D., & Machin, G. (2023). Progress towards in-situ traceability and digitalization of temperature measurements. Acta IMEKO, 12(1), 1-6.

8

[8] Burt, S., & de Podesta, M. (2020). Response times of meteorological air temperature sensors. Quarterly Journal of the Royal Meteorological Society, 146(731), 2789-2800.

9

[9] Harrison, R. G., & Burt, S. D. (2025). Fundamental sensor response time limitations of practical air temperature measurement. Geophysical Research Letters, 52(20), e2025GL118464.

10

[10] Morais, C., & Araujo, J. L. (2022). An alternative experimental procedure to determine the solubility of potassium nitrate in water with automatic data acquisition using arduino for secondary school: Development and validation with pre-service chemistry teachers. Journal of Chemical Education, 100(2), 774-781.

11

[11] Potabuga, P. W., Amisan, T. I., Marianus, M., Tumangkeng, J. V., & Pawarangan, I. (2025). Rancang Bangun Kalorimeter Digital Berbasis Arduino Uno Dengan Sensor Ds18b20 Untuk Pembelajaran Fisika. Jurnal Fisika: Fisika Sains dan Aplikasinya, 10(2), 33-39.

12

[12] Baeyens, R., Denil, J., Steckel, J., & Daems, W. (2022). Model-Based Firmware Generation for Acquisition Systems Using Heterogeneous Hardware. Automation, 3(3), 471-485.

13

[13] Steiner, R. V., & Lupu, E. (2019). Towards more practical software-based attestation. Computer networks, 149, 43-55.

14

[14] Cooper, P. D. (2025). An Improved Calorimeter Design for Undergraduate Isobaric Solution Calorimetry Experiments. Journal of Chemical Education, 102(2), 639-643.

15

[15] Moreno-Piraján, J. C., Gutiérrez, L. G., Gómez-Granados, F., & Hernández-Monje, D. C. (2024). Calorimetric Methods for the Characterization of Porous Materials. Elsevier.

16

[16] Baskerville, R., Pries-Heje, J., & Venable, J. R. (2026). MEDS: methodology for evaluation in design science. European Journal of Information Systems, 1-18.

17

[17] Zare, F., Jakeman, A. J., Elsawah, S., & Guillaume, J. H. (2024). Bridging practice and science in socio-environmental systems research and modelling: A design science approach. Ecological Modelling, 492, 110719.

18

[18] Ghanbari, E., Picken, S. J., & van Esch, J. H. (2023). Analysis of differential scanning calorimetry (DSC): determining the transition temperatures, and enthalpy and heat capacity changes in multicomponent systems by analytical model fitting: E. Ghanbari et al. Journal of Thermal Analysis and Calorimetry, 148(22), 12393-12409.

19

[19] Debatin, L. V., Bertolo, R. A., Júnior, J. C. R. G., Hart, S. T., & Hugen, L. A. (2025). Defining Natural Background Levels for Groundwater in a Brazilian Coal Mining Region: A Statistical Assessment of Historical Data.

20

[20] Vasilev, Y., Pamova, A., Bobrovskaya, T., Vladzimirskyy, A., Omelyanskaya, O., Astapenko, E., ... & Arzamasov, K. (2025). Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen. Frontiers in Artificial Intelligence, 8, 1607348.

21

[21] Nurul, D. S. (2020). Validation method for determination of niclosamide monohidrate in veterinary medicine using UV-Vis spectrophotometry. Jurnal Ilmiah Farmako Bahari, 11(2), 153-160.

22

[22] Sunsong, R., Du, T., Etim, I., Zhang, Y., Liang, D., & Gao, S. (2021). Development of a novel UPLC-MS/MS method for the simultaneously quantification of polydatin and resveratrol in plasma: application to a pharmacokinetic study in rats. Journal of Chromatography B, 1185, 123000.

23

[23] Liu, Z., Huo, P., Shi, C., Yan, Y., Kong, F., Cao, S., ... & Yao, J. (2024). Design of temperature measurement system guided by thermal dissipation coefficient of NTC thermistor. Sensors and Actuators A: Physical, 377, 115772.

24

[24] Chen, H., Qu, S., Yu, J., Lu, J., Wu, H., Liu, Z., ... & Zhou, Z. (2025). Dynamic range extension and noise evaluation of a high-precision temperature sensor with adaptive switching measuring points. Measurement, 119531.

25

[25] Xue, T. W., & Guo, Z. Y. (2023). Thermoelectric cycle and the second law of thermodynamics. Entropy, 25(1), 155.

26

[26] Prabowo, N. K., Paristiowati, M., Irwanto, Afrizal, & Yusmaniar. (2023, October). ChemDuino-Calorimetry to determine the enthalpy change of neutralization of an acid− base reaction: Making a familiar experiment “greener”. In AIP Conference Proceedings (Vol. 2958, No. 1, p. 050001). AIP Publishing LLC.

27

[27] Ashna, E., & Karimi, M. S. (2024). Investigating the enthalpy of dissolution of ionic and polar substances in water. SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, 16(03), 128-136.

28

[28] Salanon, E., Comte, B., Centeno, D., Durand, S., Pujos-Guillot, E., & Boccard, J. (2024). An alternative for the robust assessment of the repeatability and reproducibility of analytical measurements using bivariate dispersion. Chemometrics and Intelligent Laboratory Systems, 250, 105148.

29

[29] Vacharanukrauh, P., Miller, K. J., Alif, S. M., Grace, F., & Rahman, M. A. (2025). Pharmacological interventions for anthracycline-induced cardiotoxicity in breast cancer: a systematic review and meta-analysis of randomized controlled trials. Breast Cancer Research and Treatment, 214(1), 1-23.

30

[30] Latimer, G. W. (2012). Guidelines for Single Laboratory Validation of Chemical Methods for Dietary Supplements and Botanicals. Official Methods of Analysis of AOAC International, 1, AK-1.

31

[31] Lemmon, E. W. (2010). Thermophysical properties of fluid systems. NIST chemistry WebBook.

Data Acquisition System for Exothermic and Endothermic Reaction: A Novel Laboratory Approach in Chemistry Learning

Abstract

References

How to Cite

Cite Article

Article Update