Andrian Saputra
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Penggunaan Metode Semiempirik AM1 Untuk Pemilihan Monomer Fungsional Efektif Pada Prasintesis Polimer Tercetak Diazinon Andrian Saputra; Karna Wijaya; Mohd Noor Ahmad; Iqmal Tahir
Jurnal Kimia Valensi Jurnal Valensi Volume 3, No.1, Mei 2013
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.621 KB) | DOI: 10.15408/jkv.v3i1.323

Abstract

Pemilihan monomer fungsional yang efektif untuk sintesis Molecular Imprinted Polymer (MIP)untuk diazinon dapat dilakukan dengan pendekatan kimia komputasi dengan menerapkan metode semiempirik AM1. Proses seleksi menggunakan parametermomen dipol, energi interaksi, dan ikatan hidrogen yang terbentuk. Energi interaksi yang optimum menunjukkan kompleks yang terbentuk stabildan mengindikasikan MIP akan dapat terbentuk baik.Semua perhitungan pada penelitian ini dilakukan dengan menggunakan software Hyperchem 7.5. Hasil penelitian menunjukkan monomer fungsional efektif untuk prasintesis polimer tercetak diazinon yaitu akrilamida, asam akrilat, asam metakrilat, hidroksi etil metakrilat, asam urokanat, asam itakonat, dan asam urokanat etil ester. Hasil ini secara teoritik  dapat memberikan informasi mengenai monomer fungsional efektif yang dapat digunakan sebagai pertimbangan sintesis MIP untuk diazinon dengan selektivitas relatif baik.
An Indonesian-version of the short attitude toward mathematics inventory: a voice from pre-service chemistry teacher Andrian Saputra; Lisa Tania
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i3.27718

Abstract

This study aimed to examine the validity of the Indonesian version of the short attitude toward mathematics inventory (ATMI). The adapted inventory was also used for further analysis to explore mathematics attitude of pre-service chemistry teachers across gender. The original ATMI was translated into Bahasa and distributed to 328 participants via the online survey. After preliminary checking for multivariate outliers, all the data were used to analyze the construct validity of structural model using confirmatory factor analysis (CFA). Furthermore, multigroup analysis with structured mean modelling was conducted to explore the gender effect toward mathematics attitude. All item means, standard deviations and correlation matrix were also explored. The result found that the short form supported the four-factor solution as the original ATMI. Modification indices, standardized regression weight, and squared multiple correlations were used to determine which items to be removed or retained during analysis until standard criteria for model fit reached. This items deletion produced a shorter version of ATMI (19 items) with fairly good internal consistency, both for all items inventory (α=0.92) or for individual subscale (mean α=0.86). Moreover, the t-test on the latent mean value showed no significant difference of attitude toward mathematics between male and female.
ENHANCING STUDENTS’ CHEMICAL REPRESENTATION SKILLS THROUGH MOLECULAR DYNAMICS SIMULATION-BASED DISCOVERY LEARNING Lisa Tania; Andrian Saputra; Annisa Meristin; Mohammad Ahdiat; Athifah Azzahra
Chimica Didactica Acta Vol. 14 No. 1: June 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jcd.v14i1.2174

Abstract

Enhancing Students’ Chemical Representation Skills Through Molecular Dynamics Simulation-Based Discovery Learning. Objectives: This study aimed to investigate the effectiveness of a discovery learning model integrated with molecular dynamics (MD) simulations in enhancing high school students' chemical representation skills. It specifically sought to determine the difference in skill improvement between students engaged in the simulation-based discovery learning environment and those receiving conventional instruction. This research addopted a quasi-experimental study using a non-equivalent control group pretest-posttest design was conducted with 72 eleventh-grade students from a public high school. The experimental group (n = 36) participated in a discovery learning module featuring interactive MD simulations, while the control group (n = 36) followed the standard curriculum using conventional teaching methods. The primary instrument was the Chemical Representation Skills Test (CRST), which was content-validated and demonstrated high reliability (Cronbach’s α = 0.88). Data were analyzed using descriptive statistics, independent samples t-test, and normalized gain (N-gain) scores. The results revealed a statistically significant difference in the posttest scores between the two groups (p < 0.05). The experimental group demonstrated substantially greater improvement in chemical representation skills, achieving a high average N-gain score of 0.72, compared to the control group's medium N-gain score of 0.45. Analysis of sub-skills revealed that the most significant gains for the experimental group were observed at the sub-microscopic and symbolic representation levels. The integration of molecular dynamics simulations within a discovery learning framework is highly effective for improving students' chemical representation skills. This approach provides a powerful pedagogical tool to bridge the gap between abstract chemical concepts and concrete, dynamic visualizations, thereby fostering a deeper and more integrated understanding of chemistry