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All Journal Techno: Jurnal Penelitian Jurnal Pendidikan dan Pembelajaran Kimia (JPPK) Journal of Natural Sciences and Mathematics Research Jambura Journal of Chemistry Acta Chimica Asiana Nexus
Annisha Noor Diena
Jurusan Kimia, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Lampung
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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PENERAPAN PROBLEM SOLVING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR LANCAR PADA MATERI ASAM BASA Annisha Noor Diena; Ratu Betta Rudibyani; Tasviri Efkar
Jurnal Pendidikan dan Pembelajaran Kimia Vol 4, No 3 (2015): Jurnal Pendidikan dan Pembelajaran Kimia
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (139.411 KB)

Abstract

This research were intended to describe the practicality, effectivility, and effect size of problem solving model to improve fluency thinking abiltiy on Arrhenius acid base theory. This research used one group pretest postttest design in which the 11th grade of science-5, was choosen as sample based on cluster random sampling . The aspect of practicality was determined by lesson plan study implementation based on teacher observation and conspicuousness of model based on students response. The aspect of effectivi-lity was determined by average n-Gain of students`s concept mastery in exami-niation and student activity during the learning process. The aspect of effect size(r) was determined by mean of pretest and posttest in which r score was calculated by using Cohen`s formula. The result that problem solving model has high criteria of practicality and effectivility and large effect size to improve fluency thinking ability.Penelitian ini bertujuan untuk mendeskripsikan kepraktisan, keefektifan, dan ukuran pengaruh model problem solving dalam meningkatkan kemampuan berpikir lancar siswa pada materi asam basa Arrhenius. Penelitian ini menggunakan one group pretest posttest design dengan menggunakan teknik cluster random sampling diperoleh sampel kelas XI IPA5. Aspek kepraktisan ditentukan dari keterlaksanaan RPP berdasarkan obser-vasi guru dan kemenarikan model berdasarkan respon siswa. Aspek keefektifan ditentukan dari rata-rata n-Gain hasil penguasaan konsep di awal dan akhir pem-belajaran dan aktivitas siswa selama proses pembelajaran. Ukuran pengaruh(r) ditentukan dari rata-rata nilai pretes dan postes dengan nilai r dihitung meng-gunakan rumus cohen. Hasil penelitian menunjukan bahwa model problem solving memiliki kepraktisan dan keefektivan sangat tinggi serta memiliki ukuran pengaruh besar dalam meningkatkan kemampuan berpikir lancar siswa.Kata kunci :kepraktisan, keefektivitasan, problem solving, ukuran pengaruh
Screening Virtual Senyawa Turunan Azo-Asetohidrazida sebagai Inhibitor Potensial Alfa-Glukosidase Muhammad Zulqurnain; Sakti Hidayati Fikriya; Andi Suharman; Annisha Noor Dienna; First Ambar Wati
Acta Chimica Asiana Vol. 8 No. 2 (2025)
Publisher : The Indonesian Chemical Society, Chapter Nusa Tenggara and The University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/aca.v8i2.263

Abstract

Type 2 diabetes mellitus is a progressive metabolic disorder marked by persistent hyperglycemia resulting from insulin resistance, insufficient insulin secretion, or a combination of both conditions. A potential therapeutic target for treating this illness is the suppression of the alpha-glucosidase enzyme, which is a key regulator of postprandial glucose absorption and carbohydrate metabolism. This work conducted a thorough in silico analysis to evaluate the efficacy of three synthesised azo-acetohydrazide derivatives (designated compounds C, D, and E) as alpha-glucosidase inhibitors. Pharmacokinetic properties and drug-likeness characteristics were evaluated using the SwissADME platform, while molecular docking simulations were conducted with AutoDockTools against the alpha-glucosidase enzyme structure sourced from the Protein Data Bank (PDB ID: 3W37), utilising acarbose as a reference inhibitor. All three compounds adhered to essential drug-likeness criteria, including those established by Lipinski, Veber, and Ghose, and exhibited advantageous physicochemical characteristics, such as appropriate molecular weight, lipophilicity, topological polar surface area, and aqueous solubility. The compounds were anticipated to have significant gastrointestinal absorption and had no ability to penetrate the blood-brain barrier, suggesting a minimal risk of central nervous system damage. Compound E demonstrated the highest binding affinity among the compounds, with a docking score of –7.80 kcal/mol, and formed multiple stabilising interactions within the enzyme's active region, such as hydrogen bonds, hydrophobic contacts, and electrostatic interactions. This study's novelty is the computational discovery of azo-acetohydrazide scaffolds as inadequately investigated chemical entities with potential antidiabetic properties. These findings establish a theoretical basis for continued development and substantiate future endeavours in the synthesis and experimental validation of these molecules. This study validates the efficacy of structure-based drug design in discovering novel alpha glucosidase inhibitors and identifies compound E as a good candidate for further in vitro and in vivo research in type 2 diabetes treatment.
Atomic Charge Reveals Global Electron Redistribution in Substituted Benzene: A Semiempirical Quantum Study Annisha Noor Dienna; Maula Nabila Alika Fitri; Novalia Nurbaiti; Prisca Caesa Moneteringtyas; Keysia Claudia Sagala
TECHNO: JURNAL PENELITIAN Vol 15 No 1 (2026): TECHNO JURNAL PENELITIAN
Publisher : Universitas Khairun

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Abstract

This study investigates the electronic influence of electron-donating substituents on the C₀ of substituted benzene systems using a computational chemistry approach. Aromatic systems exhibit complex electron density redistribution governed by π-electron delocalization, where substituent effects propagate across the entire ring rather than remaining localized. To systematically evaluate this behavior, eleven benzene derivatives representing alkyl, amino, and oxygen-containing substituents were modeled and analyzed using the semiempirical AM1 method implemented in ORCA. Atomic charge variations at the C₀ position were calculated relative to benzene and examined using both Mulliken and Löwdin population analyses to ensure methodological consistency. The results reveal that electron-donating groups do not necessarily increase electron density locally at the C₀; instead, the donated electron density is redistributed throughout the aromatic π-system. Alkyl substituents show minimal charge variation, indicating weak inductive effects, while amino groups exhibit moderate influence through resonance interactions without significant localization at C₀. Oxygen-containing substituents, particularly phenol and alkoxy derivatives, demonstrate stronger electronic perturbations due to effective lone-pair resonance donation. Notably, ethoxybenzene displays anomalous behavior, suggesting a combined influence of resonance and additional inductive contributions from its alkyl chain. Despite differences in absolute values, both population analysis methods produce consistent trends, supporting the robustness of the findings. Overall, this study highlights that ΔC₀ serves as an indicator of global electron redistribution rather than localized charge accumulation, providing a more physically meaningful interpretation of substituent effects in aromatic systems
Evaluasi Komprehensif in silico Profil ADME Aqneursa dan Miplyffa: Strategi Seleksi Senyawa Baru yang Disetujui FDA untuk Terapi Niemann-Pick Tipe C Annisha Noor Dienna; Chynthia Azhari Utri; Sitti Ainun Hikmah; Novalia Nurbaiti
Jambura Journal of Chemistry Vol 8, No 1 (2026): February
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jambchem.v8i1.34936

Abstract

Niemann-Pick disease type C (NPC) is a rare neurodegenerative disorder requiring new therapeutic options, where ADME (Absorption, Distribution, Metabolism, Excretion) profiles are critical for drug development. This study aimed to conduct a comparative in silico prediction of the ADME profiles of two novel FDA-approved compounds, Aqneursa and Miplyffa, as candidate therapies for NPC. The result in silico profiling was developed from the web-based tool, SwissADME, such as physicochemical characteristics, lipophilicity, solubility, pharmacokinetics, and drug-likeness. Aqneursa follows all the key drug-likeness rules (Lipinski, Ghose, Veber, Egan, Muegge), has a low molecular weight (173.21 g/mol), a well-soluble, a high gastrointestinal absorption, and  a balanced lipophilicity (Log P 0.66). In contrast, Miplyffa presented significant pharmacokinetic challenges, including a high molecular weight (505.90 g/mol), extreme hydrophilicity (Log P -0.21), high polarity (TPSA 202.65 Ų), low GI absorption, and multiple violations of drug-likeness criteria. Although both compounds were predicted to be non-substrates of P-glycoprotein and non-inhibitors of major CYP450 enzymes, neither was predicted to cross the blood-brain barrier (BBB). In conclusion, Aqneursa is good for oral drugs and worthy of further development for NPC, whereas Miplyffa requires alternative formulation strategies or structural modifications.
Magnetic Zeolite Composites for Heavy Metal Ions Removal: A Concise Review Wayan Gracias; Annisha Noor Dienna; Defia Indah Permatasari
Nexus Sains dan Teknologi Vol. 1 No. 2 (2025): Nexus: Jurnal Sains dan Teknologi (Edisi November)
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/nst.v1i2.2880

Abstract

Magnetic zeolite is a composite material that combines the porous characteristics of zeolite with the magnetic separation capability of magnetic nanoparticles. This study discusses the development of magnetic zeolite synthesis using several main methods, including hydrothermal synthesis, coprecipitation, and dry-gel conversion, each offering different levels of control over particle size, surface area, and magnetic strength of the resulting composite. The synthesized materials generally possess a high surface area and strong magnetic response, making  them  effective  for adsorbing heavy metal ions from aqueous solutions. The reported maximum adsorption capacities reach 625 mg g⁻¹ for Pb(II), 204 mg g⁻¹ for Cd(II), 181 mg g⁻¹ for Cu(II), more than 400 mg g⁻¹ for Cr(VI), and around 42 mg g⁻¹ for Ni(II). According to various studies, the adsorption of heavy metal ions onto magnetic zeolite commonly follows the pseudo-second-order kinetic model and the Langmuir isotherm, indicating that the adsorption process is dominated by a monolayer chemisorption mechanism. In addition to its high adsorption capacity, the main advantage of magnetic zeolite is the ease of separating it from the solution using an external magnetic field, making it an efficient adsorbent that can be easily recovered and reused.
Biomaterial Laut Berbasis Kimia Komputasi untuk Nanoteknologi Hijau: Literature Review Annisha Noor Dienna; Annisa Ananda; Ratri Mauluti Larasati
Nexus Sains dan Teknologi Vol. 2 No. 1 (2026): Nexus: Jurnal Sains dan Teknologi (Edisi Mei)
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/nst.v2i1.3310

Abstract

Penelitian ini bertujuan menganalisis perkembangan biomaterial laut berkelanjutan berbasis pendekatan computational chemistry melalui metode literature review deskriptif-kualitatif. Kajian dilakukan terhadap 22 artikel jurnal internasional tahun 2021–2026 yang membahas marine biomaterials, molecular docking, molecular dynamics simulation, nanotechnology, dan sustainable biomaterials. Hasil penelitian menunjukkan bahwa biomaterial laut seperti alginate, fucoidan, chitosan, carrageenan, marine collagen, phlorotannins, dan marine peptides memiliki potensi tinggi sebagai sustainable biomaterials karena bersifat biodegradable, biokompatibel, bioaktif, dan mendukung green material technology. Molecular docking menjadi pendekatan komputasi paling dominan untuk memprediksi binding affinity, molecular interaction, dan bioaktivitas biomaterial terhadap target biologis, sedangkan molecular dynamics simulation digunakan untuk mengevaluasi stabilitas kompleks biomaterial protein dan sifat mekanik biomaterial pada tingkat atomistik dan nanoscale. Selain itu, integrasi biomaterial laut dengan green nanotechnology dan computational modeling menunjukkan potensi besar dalam pengembangan hydrogel, scaffold, nanocarrier, biosensor, dan smart biomaterials berbasis sumber daya laut terbarukan. Penelitian ini juga mengidentifikasi research gap berupa keterbatasan validasi biologis, standardisasi biomaterial laut, dan minimnya integrasi AI-based biomaterials design. Dengan demikian, computational marine biomaterials berbasis sustainability berpotensi menjadi frontier research yang mengintegrasikan chemistry, nanotechnology, biotechnology, dan green material engineering modern.
In silico physicochemical and drug-likeness assessment of Indoloquinoxaline Derivatives as potential Anti-Alzheimer Agents Noor Dienna Annisha; Alfa Zihni Adzaky; David Ardiansyah; Annisa Ananda; Muhammad Zulqurnain
Journal of Natural Sciences and Mathematics Research Vol. 12 No. 1 (2026): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v12i1.32090

Abstract

Alzheimer’s disease (AD) remains a major progressive neurodegenerative disorder with limited therapeutic efficacy, primarily targeting acetylcholinesterase (AChE), with significant challenges related to Blood-Brain Barrier (BBB) penetration. This study aimed to perform drug likeness screening, ADMET profiling, and BBB penetration prediction of indoloquinoxaline derivatives as potential CNS-active anti-Alzheimer candidates using SwissADME as the sole computational platform. A total of 36 compounds, comprising 31 indoloquinoxaline derivatives and five reference anti-Alzheimer drugs, were analyzed in silico using five pharmacokinetic filters (Lipinski, Ghose, Veber, Egan, and Muegge), followed by lipophilicity assessment (Consensus LogP range: 2.59–5.39), molecular weight, rotatable bonds, hydrogen bonding, and medicinal chemistry evaluations. All 36 compounds fulfilled Lipinski and Veber criteria with 100% compliance, while Ghose, Egan, and Muegge filters identified 3, 2, and 8 violations, respectively, predominantly attributable to excessive lipophilicity in substituents such as –CF₃ and tert-butyl groups. The investigated compounds exhibited CNS-compatible MW (219.24–400.52 Da), LogP (2.88–4.95 for the majority), and TPSA (30.71–54.50 Ų) profiles. A total of 29 out of 31 synthesized compounds (93.5%) were predicted as BBB-permeant. In addition, all candidates showed zero PAINS alerts and predominantly zero Brenk alerts, indicating favorable medicinal chemistry characteristics and low risk of nonspecific bioassay interference. Several compounds demonstrated physicochemical properties comparable to clinically approved anti-Alzheimer drugs (donepezil, galantamine, rivastigmine), suggesting promising potential for further AChE-targeted CNS drug development.
Co-Authors Alfa Zihni Adzaky Andi Suharman Annisa Ananda Annisa Ananda Chynthia Azhari Utri David Ardiansyah Defia Indah Permatasari First Ambar Wati Keysia Claudia Sagala Maula Nabila Alika Fitri Muhammad Zulqurnain Muhammad Zulqurnain Novalia Nurbaiti Novalia Nurbaiti Prisca Caesa Moneteringtyas Ratri Mauluti Larasati Ratu Betta Rudibyani Sakti Hidayati Fikriya Sitti Ainun Hikmah Tasviri Efkar Wayan Gracias