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Scientific Nexus
Published by Institut Teknologi Sumatera
ISSN : -     EISSN : 31103278     DOI : https:/doi.org/10.35472/scinexus
Core Subject : Health, Science,
Astronomy Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology Medicine & Pharmacology
Scientific Nexus is a peer-reviewed scientific journal publishing research articles, review articles, short communications, editorials, and perspectives within the scope of Science, covering but not limited to: Physics Biomedicine Chemistry Drug Discovery and Development Atmospheric and Planetary Science Marine Environmental Science & Marine Biology We welcome a wide range of contributions, including interdisciplinary studies, niche-scope research, negative results, and scientifically justified replications. Interdisciplinary research combining at least two of the above fields is strongly encouraged. To be published with us, a manuscript must be scientifically valid and methodologically robust. We do not judge submissions based on perceived importance, novelty, or potential impact — we believe such evaluations are best made by the research community after publication.
Arjuna Subject : Umum - Umum
Articles 17 Documents
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Sanggenon C from Morus alba as a promising Bcl-2 inhibitor: a molecular docking study targeting apoptosis in lung cancer Adelweis Putrinda; Anisa Salwa Razika; Dewi Nadia Luthfi; Nabila Tri Elmerillia; Nabilla Intan Safira; Anjar Hermadi Saputro; Winni Nur Auli
Scientific Nexus Vol. 2 No. 2 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2721

Abstract

Bcl-2 overexpression is a key driver of apoptosis evasion and chemoresistance in lung cancer. Morus alba L. harbors bioactive phytochemicals with reported anticancer properties, yet their binding potential against Bcl-2 remains computationally unevaluated. This study aims to assess the binding affinity and interaction profiles of five M. alba-derived compounds—sanggenon C, morusin, albanol B, rutin, and kuwanon C—against Bcl-2 using molecular docking. Molecular docking was performed using AutoDockTools® (v1.5.7) with the Bcl-2 crystal structure (PDB ID: 6O0K) and venetoclax as the reference ligand. Binding free energy (ΔG), binding site similarity (%BSS), and hydrogen bond interactions were analyzed. Redocking yielded an RMSD of 1.41 Å, confirming protocol validity. Sanggenon C exhibited the most favorable binding profile (ΔG = −8.46 kcal/mol; %BSS = 81.25%), sharing 13 of 16 key residues with venetoclax, including Phe112, Val156, Met115, Phe153, Arg146, and Gly145, with three hydrogen bonds predominantly within the optimal range. These findings establish a computational basis for prioritizing sanggenon C as a Bcl-2 inhibitor lead from M. alba, warranting further validation through ADMET profiling, molecular dynamics simulation, and in vitro cytotoxicity and apoptosis assays in lung cancer cell models.
Formulation and antibacterial activity evaluation of Arabica green coffee bean (Coffea arabica L.) extract roll-on deodorant against Staphylococcus epidermidis Nur Adliani Adliani; Rana Atikah Rislia; Refsya Azanti Putri
Scientific Nexus Vol. 2 No. 1 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2727

Abstract

Staphylococcus epidermidis is a primary contributor to axillary malodor through the catabolism of sweat precursors into volatile malodorous compounds. Arabica green coffee bean (Coffea arabica L.) extract contains chlorogenic acid, caffeine, and trigonelline, bioactive compounds with documented antibacterial mechanisms, yet its application in stable topical deodorant formulations remains underexplored. To develop and evaluate roll-on deodorant formulations incorporating arabica green coffee bean ethanolic extract at varying concentrations, and to assess their physicochemical properties, accelerated stability, and antibacterial activity against S. epidermidis ATCC 12228. Four formulas (F1–F4) containing 10%, 15%, 20%, and 25% extract were prepared using hydroxypropyl methylcellulose (HPMC) as the gelling agent. Physicochemical parameters including spreadability, adhesiveness, pH, and viscosity were evaluated before and after a cycling test (6 cycles, 12 days). Antibacterial activity was assessed by the agar well diffusion method. All formulas met the physicochemical specifications for topical preparations and remained stable throughout accelerated testing. Extract concentration significantly influenced all evaluated parameters. F4 (25% extract) produced the largest inhibition zone (10.93 ± 0.33 mm; strong category) against S. epidermidis and represents the most promising candidate for further development as a herbal-based deodorant.
Trend analysis of extreme climate indices in coastal Semarang using ETCCDI and Mann–Kendall Test (1995–2024) Ghefira Tsuraya Rafli; Lesi Mareta; Sugeng Nugroho
Scientific Nexus Vol. 2 No. 2 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2735

Abstract

This study analyzes trends in seven ETCCDI extreme climate indices at the Tanjung Emas Maritime Meteorological Station, coastal Semarang, Indonesia, over 1995–2024. Daily rainfall, minimum temperature, and maximum temperature records underwent quality control (RClimdex) and homogeneity testing (RHtestsV4). The Mann–Kendall test assessed trend significance and Sen's slope quantified trend magnitude, applied to the full 30-year period and two 15-year sub-periods (1995–2009 and 2010–2024). Among precipitation indices, total annual rainfall (PRCPTOT) and maximum 1-day rainfall (RX1day) showed significant increasing trends, with Sen's slopes of +16.53 mm/year and +2.09 mm/year, respectively. Consecutive dry and wet day indices showed no significant trends. Among temperature indices, warm night frequency (TN90p) and warm day frequency (TX90p) increased significantly at +0.50 and +0.54 days/year, respectively, while the diurnal temperature range showed no significant change. Sub-period analysis revealed acceleration of TX90p in 2010–2024 (Sen's slope = +1.19 days/year), indicating intensifying daytime warming in the more recent period. No precipitation index reached significance within either sub-period, suggesting that rainfall trends accumulate over decadal rather than sub-decadal timescales. These results provide quantitative evidence of strengthening warming signals and increasing rainfall intensity in coastal Semarang, with implications for flood risk management and climate adaptation planning.
Application of coconut shell liquid smoke as a biopesticide and its effects on maize growth and productivity Dian Syahputra Saragi; Arysca Wisnu Satria; Hendry Wijayanti
Scientific Nexus Vol. 2 No. 1 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2737

Abstract

The presence of pests on crops is a major and persistent problem in modern agriculture, significantly affecting their growth. Along with the increasing awareness of the environmental impact of chemical pesticides, liquid smoke has emerged as a promising alternative, particularly as a biopesticide. This study aims to evaluate the effect of liquid smoke dosage on plant growth and productivity. Liquid smoke was applied as a foliar spray at four dilution levels: 1:0, 1:2, 1:4, and 1:10. Growth parameters, including plant height and stem diameter, as well as yield components such as number of grains per cob, cob weight, and total ear weight, were measured. Data was analyzed using ANOVA followed by Tukey’s at a 5% significance level. The results showed that liquid smoke dosage significantly affected plant height, stem diameter, number of grains per cob, cob weight, and total ear weight. The 1:2 dilution level consistently produced the highest growth performance and yield components, while the lowest values were generally observed at the highest dilution level (1:10). These findings indicate that coconut shell-derived liquid smoke has potential as an environmentally friendly biopesticide for maize cultivation.
Molecular docking of several flavonoid compounds in parijoto fruit (Medinilla speciosa) as antidiabetes mellitus type 2 on the α-glucosidase enzyme Regita Lailie Armina; Charisa Nabirawati Sitindaon; Salaisya Maharani Fathehah; Marsha Aulia Syakila; Irma Dwi Damayanti; Kireine Kosma Ramadhani; Anjar Hermadi Saputro; Winni Nur Auli
Scientific Nexus Vol. 2 No. 1 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2741

Abstract

Diabetes mellitus (DM) is a metabolic disease with increasing prevalence and serious complications in various organs of the body. Diabetes management requires a comprehensive therapeutic approach, including the development of antidiabetic agents that inhibit key enzymes of glucose metabolism. The α-glucosidase enzyme plays a crucial role in carbohydrate digestion and is a potential target for diabetes therapy. This study analyzed the potential of flavonoid compounds from parijoto fruit (Medinilla speciosa B1) as α-glucosidase inhibitor ligands through molecular docking. In addition to using AutoDock Tools 1.5.7® and BIOVIA Discovery Studio 2021® for visualization and analysis of the interaction of test compounds with the target enzyme α-glucosidase (3TOP), oral bioavailability evaluation was performed using Lipinski's Rule of Five. This method defines five predictive parameters for oral absorption. Compounds that meet at least four criteria are predicted to have good oral bioavailability. Molecular docking results show the best free binding energy of the robinetin-α-glucosidase complex is -7.67 kcal/mol with a Ki of 2.37 μM, forming stable hydrogen bonds with amino acid residues. Robinetin in parijoto is predicted to have potential as an antidiabetic type 2 although not better than the native ligand α-glucosidase.
Comparative analysis of exponential and logistic growth models for predicting motorized vehicle population in Indonesia Suli Windi Astuti; Nela Rizka; Dear Michiko Mutiara Noor; Nurul Indah Safitri
Scientific Nexus Vol. 2 No. 2 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2745

Abstract

The increasing mobility of the Indonesian population has led to a high demand for motorized vehicles, posing significant challenges for infrastructure management and environmental sustainability. This study aims to compare the accuracy of exponential and logistic growth models and to predict the motorized vehicle population in Indonesia. Motorized vehicle data for the period 2015–2022 from the Central Bureau of Statistics (BPS) were processed using MS Excel to determine the parameters for both models and subsequently simulated using MATLAB. The optimal model was selected based on graphical plot results and the lowest Mean Absolute Percentage Error (MAPE) value. The analysis results indicate that the logistic model provides higher accuracy (MAPE = 0.54%) compared to the exponential model (MAPE = 1.50%). The motorized vehicle population is projected to reach 152,520,752 units in 2023 and is expected to continue increasing to 174,657,192 units by 2030. Furthermore, the logistic model demonstrates that the population growth rate will decelerate as it approaches its carrying capacity (K = 189,659,261 units). These findings serve as critical considerations for the government in formulating infrastructure planning and environmental protection strategies against emissions from operating motorized vehicles.
Fermentation dynamics of water kefir in coconut and coconut–pineapple substrates: an evaluation of carbon source effects Fina Khaerunnisa Frima; Lilis Ariska; Putri Oktasari; Maia Chindiana; Julianto; Patricia Erphania Irse Br Sembiring; Yoel Firman Manaek Hutahaean
Scientific Nexus Vol. 2 No. 1 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2749

Abstract

Water kefir is a promising non-dairy probiotic beverage, yet its microbial dynamics in coconut water and coconut–pineapple substrates remain insufficiently explored. This single-run study evaluated microbial growth using three carbon sources (glucose, sucrose, and commercial sugar). Fermentation was carried out with 5% (w/v) water kefir grains and 5% sugar at 25–28 °C for 72 h, with sampling every 24 h. Optical density (OD₆₀₀) ranged from 0.13 to 0.83, generally increasing during the first 48 h and declining thereafter, while pH remained acidic (3.65–3.93). Plate counts on MRS agar were too numerous to count during the first 48 h, followed by enumerable counts at 72 h. Coconut–pineapple substrates showed higher culturable lactic acid bacteria counts (~10⁸–10⁹ CFU/mL), whereas coconut-only substrates were lower (~10⁷ CFU/mL or below detection). Pineapple-containing and sucrose-based treatments were associated with higher activity. Because the study was a single run without replication, results are presented descriptively as observed trends and should be regarded as preliminary. Fermentation up to 48 h supported microbial growth, whereas extended fermentation reduced culturability under MRS-based enumeration. These observations highlight the roles of fermentation time and substrate composition, providing a basis for future replicated studies.

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