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Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences
ISSN : -     EISSN : 2964867X     DOI : https://doi.org/10.53696/2964-867X.60
Mathematics and Natural Sciences Education Learning Innovation Development of Mathematics and Natural Sciences Education Sciences Aplication of Mathematics and Natural Sciences Education Actuarial Technology Based of Learning Mathematics and Natural Sciences Study of Learning Mathematics and Natural Sciences
Articles 79 Documents
Analisis Kebutuhan Pengembangan Digibook Geometry Berbasis Kearifan Lokal di Lingkungan Pesantren untuk Pembelajaran Geometri SMP Mulyani, Fithri Sri; Indriani, Evi
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 4 No. 3 (2025): Matematika, IPA, dan Pembelajarannya
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v4i3.427

Abstract

Penelitian ini bertujuan untuk menganalisis kebutuhan pengembangan Digibook Geometry berbasis kearifan lokal di lingkungan pesantren sebagai dasar pembelajaran geometri SMP. Latar belakang penelitian ini didasari oleh masih dominannya pembelajaran geometri yang bersifat konvensional, kurang memfasilitasi visualisasi spasial, serta belum terintegrasi dengan konteks dan nilai pesantren. Penelitian menggunakan pendekatan mixed methods dengan jenis penelitian deskriptif eksploratif. Subjek penelitian terdiri atas 10 guru dan 60 siswa SMP di lingkungan pesantren Darul Arqom Garut Kota yang dipilih menggunakan teknik purposive sampling. Data dikumpulkan melalui angket kebutuhan, wawancara, observasi, dan studi dokumentasi. Data kuantitatif dianalisis menggunakan statistik deskriptif dalam bentuk persentase, sedangkan data kualitatif dianalisis melalui reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa seluruh aspek kebutuhan berada pada kategori tinggi hingga sangat tinggi, yaitu visualisasi geometri (91%), interaktivitas materi (90%), integrasi kearifan lokal (88%), kemandirian belajar (85%), dan ketersediaan media digital (82%). Temuan wawancara dan observasi menguatkan bahwa pembelajaran masih teacher-centered dan minim visualisasi spasial. Oleh karena itu, pengembangan Digibook Geometry berbasis kearifan lokal pesantren diperlukan sebagai solusi pembelajaran yang interaktif, kontekstual, dan mampu mendukung visualisasi konsep serta kemandirian belajar siswa.
Pengaruh Model Pembelajaran Blended Learning Terhadap Kemampuan Berpikir Kritis Matematika Siswa SMP Negeri 1 Lahewa Timur Abi Rahmad Zalukhu; Netti Kariani Mendrofa; Yakin Niat Telaumbanua; Sadiana Lase
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 1 (2026): Riset Matematika dan Pendidikan Matematika
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i1.428

Abstract

This study was grounded in preliminary observations conducted at SMP Negeri 1 Lahewa Timur, which revealed two major issues: (1) classroom instruction was predominantly delivered through conventional teaching methods, and (2) students’ critical thinking skills remained relatively low. In response to these challenges, the present study aimed to examine the effect of a blended learning model on students’ critical thinking ability. This research employed a quantitative approach using a quasi-experimental method with a nonequivalent control group design. The population comprised all eighth-grade students, with two intact classes selected as the sample through total sampling: Class VIII-A served as the experimental group, while Class VIII-B functioned as the control group. The research instrument consisted of essay-type tests administered as both pre-test and post-test to measure students’ critical thinking skills. The results indicated a substantial improvement in the experimental group following the implementation of blended learning. The mean pre-test scores were 30.44 for the experimental class and 28.35 for the control class. After the intervention, the mean post-test scores increased to 77.73 in the experimental class and 56.04 in the control class, demonstrating a notable gain in learning outcomes. Hypothesis testing using the t-test revealed that  exceeded  (7.476 > 1.708), leading to the rejection of H₀ and acceptance of H₁. In conclusion, the findings provide empirical evidence that the blended learning model has a significant positive effect on students’ critical thinking skills.
Optimasi Proses Reduksi dan Flokulasi Cr(VI) oleh FeSO4 pada Limbah Simulasi Elektroplating Mardiyanti, Riska; Basir, Djabal Nur; Musallam, Abdurrahman Noval; Mustawa, Muhammad Al
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.405

Abstract

The increasing activity of the electroplating industry contributes to environmental pollution through wastewater containing toxic and carcinogenic hexavalent chromium [Cr (VI)]. This study aimed to determine the optimum conditions for Cr (VI) reduction–flocculation using iron (II) sulfate (FeSO₄) and to evaluate its application in simulated multi-metal electroplating wastewater. Batch optimization was conducted by varying pH (3–11), contact time (1–60 minutes), FeSO₄ dosage (0.01–0.3 g), and initial Cr(VI) concentration (50–500 mg/L). Cr (VI) concentration was analyzed using UV–Vis spectrophotometry with 1,5-diphenylcarbazide reagent at a maximum wavelength of 541.5 nm. The optimum conditions were obtained at pH 8, 5 minutes of contact time, and 0.1 g of FeSO₄, achieving 99.89% removal of Cr (VI) from an initial concentration of 100 mg/L. In simulated multi-metal wastewater, the removal efficiency reached 99.9% with a final concentration of 0.0921 mg/L, meeting the applicable discharge standards. These findings provide practical implications as initial operational parameters and demonstrate the potential of FeSO₄ as a simple and rapid pre-treatment method prior to further treatment processes. Further studies are recommended to validate the method using actual electroplating wastewater and to evaluate the influence of interfering ions and Fe²⁺ oxidation, for example through operational control or the use of freshly prepared FeSO₄ solution to ensure process stability.
Pembuatan Karagenan dari Rumput Laut Eucheuma Cottonii Menggunakan Metode Ekstraksi dengan Variasi Konsentrasi Pelarut KOH Yunus, Muhammad Arham; Nurfiansyah; Sahira, Fadhia Zahra; M. Nur Fahresya Ananda S; Ansar, Nur Iklil Aflah; Lestari, Sry Ayu; Suci Rahmadani
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.410

Abstract

Karagenan adalah hidrokoloid yang diekstraksi dari jenis rumput laut merah Eucheuma cottonii menggunakan larutan alkali. Penelitian ini bertujuan untuk mengetahui pengaruh variasi konsentrasi KOH (0,6 N, 0,8 N, dan 1 N) terhadap rendemen dan karakteristik fisikokimia karagenan yang dihasilkan melalui metode ekstraksi pada suhu 85°C selama 100 menit. Parameter yang diuji meliputi rendemen, kadar air, kadar abu, viskositas, dan analisis FTIR. Hasil penelitian menunjukkan bahwa konsentrasi KOH 0,6 N menghasilkan rendemen tertinggi sebesar 21,82%, kadar air 11,60% (memenuhi standar FAO), kadar abu 22,76% (masih dalam kisaran FAO yaitu 15–40%), serta viskositas 2 cP. Analisis FTIR mengonfirmasi bahwa karagenan yang dihasilkan adalah tipe kappa, ditandai dengan adanya gugus ester sulfat (1234–1283 cm⁻¹), 3,6-anhidrogalaktosa (922–923 cm⁻¹), dan galaktosa-4-sulfat (833–840 cm⁻¹). Oleh karena itu, konsentrasi KOH 0,6 N direkomendasikan sebagai konsentrasi optimal untuk ekstraksi karagenan dari Eucheuma cottonii.
Kinetics of BTX Removal by Rhodococcus Erythropolis in a Slurry Bioreactor Ole, Maria Assumpta Nogo; Ranggina, Dian; Pampang, Harun; Darajat, Zakiyah
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.421

Abstract

Benzene, toluene, and xylene (BTX) contamination arising from oil-drilling operations constitutes a persistent environmental challenge, necessitating the development of robust bioremediation strategies underpinned by kinetic evaluation. This study systematically investigated the kinetics of BTX removal by Rhodococcus erythropolis in a slurry-phase bioreactor employing soil sourced from the PPEJ oil-drilling site in Tuban, Indonesia, with particular emphasis on the influence of inoculum concentration on the k₀ and the Kₘ. Batch experiments were conducted at inoculum loadings of 12,5%, 15%, and 17,5% (v/v), with periodic monitoring of dissolved-phase BTX concentrations and BOD. Analytical methodologies encompassed gas chromatography–mass spectrometry (GC–MS) for the quantification of BTX and intermediate metabolites, BOD assessment, and kinetic modeling to estimate k₀ and Kₘ values. The results demonstrated that incremental increases in inoculum concentration consistently elevated the k₀, thereby expediting BTX removal in reactors with higher biomass. However, a concomitant decline in specific activity per unit biomass was observed at the highest inoculum level, attributable to mass-transfer limitations—specifically, restricted diffusion of oxygen and substrate into microbial flocs—and heterogeneity in enzyme induction. The estimated Kₘ values exhibited variability across inoculum concentrations, indicating that substrate affinity is modulated by reactor physical parameters and microbial enzymatic adaptation. These findings underscore the necessity of optimizing inoculum concentration in concert with operational parameters such as dissolved oxygen control, agitation intensity, and structured kinetic assays to ensure that enhancements in k₀ are translated into effective per-cell degradation and complete mineralization of BTX contaminants in soils impacted by oil-drilling activities.
Studi Kandungan Hara Organik dan Anorganik pada Pupuk Organik Berbasis Fermentasi Bakteri dan Biokonversi oleh Cacing Tanah (Vermikompos) Nurfiansyah, Nurfiansyah; Muhammad Anshar; Ahmad Nurul Muttaqin; Ahmad Zubair Sultan; Mahirullah Mahirullah; Muhammad Arham Yunus
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.429

Abstract

The increasing accumulation of household organic waste, particularly leaf waste, poses environmental challenges due to limited optimal management and low added value utilization. Leaf waste have potential to be converted into organic fertilizer; however, natural decomposition is slow and often produces compost with inconsistent chemical quality. This study aims to evaluate the organic and inorganic compound content of solid organic fertilizer produced through an integrated approach combining mechanical shredding, bacterial fermentation, and vermicomposting. The research method involved shredding leaf waste using a rotary cutter shredder, followed by bacterial fermentation using activated effective microorganism and subsequent vermicomposting employing Pheretima posthuma. Compost quality was assessed based on physical parameters (temperature, odor, and color) and chemical parameters in accordance with SNI 19-7030-2004. The results showed that the compost reached a relatively mature condition, indicated by stable temperature, earthy odor, and dark brown color at the end of the process. Most chemical parameters met the SNI requirements, particularly phosphorus (P₂O₅) and potassium (K₂O), while heavy metal contents such as Pb and As were not detected and other metals remained well below permissible limits, suggesting the role of earthworm activity in reducing metal bioavailability. However, C-organic content and C/N ratio were slightly below and above the standard range, respectively. Overall, the integrated fermentation–vermicomposting approach demonstrates strong potential as sustainable technology for converting leaf waste into environmentally friendly organic fertilizer. However, further process optimization is required to improve the chemical quality of the product and to enhance the worm separation system for more efficient processing.
Optimalisasi Bioremediasi Minyak Bumi Menggunakan Pseudomonas Aeruginosa Hasil Rekayasa Genetik Isnada, Isnada; Hala, Yusmina
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.392

Abstract

Petroleum contamination stands as one of the most serious environmental challenges, particularly affecting soil and aquatic ecosystems impacted by oil spills, pipeline leaks, and industrial activities. Pseudomonas aeruginosa is recognized as an effective biodegradative bacterium due to its natural ability to produce rhamnolipid biosurfactants and express oxidative enzymes such as alkane monooxygenase (AlkB). In the modern era of biotechnology, the genetic engineering of key genes, including alkB, rhlAB, and the transcriptional regulator LcaR, has opened up opportunities for a significant increase in hydrocarbon degradation. This study conducts a narrative systematic review of Scopus literature to identify the bioremediation mechanisms employed by P. aeruginosa and the contribution of genetic engineering toward enhancing hydrocarbon degradation efficiency. The analysis indicates that the bioremediation stages encompass chemotaxis, biosurfactant production, primary oxidation, $\beta$-oxidation, biofilm formation, and quorum sensing based molecular regulation. Genetic modifications are proven to enhance the rate of alkane oxidation, strengthen rhamnolipid production, and accelerate the activation of degradation pathways. These findings affirm that engineered P. aeruginosa-based strains hold significant potential for application in bioremediation scenarios in Indonesia, especially in regions with extreme conditions such as high salinity, fluctuating pH, or high oil concentrations. The results of this review provide a scientific foundation for the development of engineered microbial bioformulations as a sustainable solution for petroleum contamination management.
Menuju Pendidikan Inovatif Di Era 5.0: Apakah AI Mampu Membentuk Calon Guru Matematika Yang Mandiri dan Kritis? Dwi Hatria, Jihan; Noperta
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 1 (2026): Riset Matematika dan Pendidikan Matematika
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i1.433

Abstract

The rapid growth of Artificial Intelligence in Society 5.0 transforms higher education but raises concerns about dependency. Examining its role in fostering learning independence and critical thinking among pre-service mathematics teachers is essential. This study aims to examine the effect of AI usage, specifically ChatGPT, on learning independence and mathematical critical thinking skills of pre-service mathematics teachers at IAIN Kerinci. A mixed methods approach with a sequential explanatory design was employed. Quantitative data were collected from 30 respondents through Likert-scale questionnaires and critical thinking tests, then analyzed using simple linear regression. Qualitative data from interviews and documentation were used to enrich the interpretation of statistical findings. The results indicate that AI usage has a significant positive effect on learning independence (Sig. = 0.046 < 0.05) and mathematical critical thinking skills (Sig. = 0.000 < 0.05). AI supports self-regulated learning by enhancing initiative, responsibility, and self-control, while also strengthening interpretation, analysis, evaluation, and inference in mathematical problem solving. The findings suggest that AI can serve as a pedagogical support tool that promotes reflective and analytical thinking when accompanied by adequate AI literacy. In conclusion, AI has the potential to contribute to the formation of independent and critical pre-service mathematics teachers in the Society 5.0 era when used consciously and responsibly.
Green Synthesis Nanopartikel Perak Menggunakan Ekstrak Bunga telang (Clitoria ternatea) dan Karakterisasinya Negara, Satria Putra Jaya; Hasri, Hasri; Kartika, Andi Eka
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 2 (2026): Biology, Physics, Chemistry, and other Basic Sciences
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i2.436

Abstract

Conventional synthesis of silver nanoparticles (AgNPs) generally uses chemical reagents that may pose environmental and health risks, such as generating toxic by-products, causing environmental pollution, and potentially affecting human health. Therefore, the development of eco-friendly synthesis methods using natural materials has become an important research focus. This study aims to synthesize AgNPs using butterfly pea flower (Clitoria ternatea) extract as a natural reducing and stabilizing agent and to evaluate their physicochemical characteristics. The synthesis was carried out through a green synthesis approach by reacting AgNO₃ solution with butterfly pea flower extract at reaction times of 0, 30, 60, 90, and 120 minutes. The formation of AgNPs was monitored using UV–Vis spectrophotometry in the wavelength range of 300–600 nm to observe the Surface Plasmon Resonance (SPR) peak. Functional groups involved in the synthesis process were analyzed using Fourier Transform Infrared (FTIR), while particle size distribution was determined using a Particle Size Analyzer (PSA). The results showed SPR peaks in the range of 380–470 nm, with maximum absorbance at 422 nm after 60 minutes, indicating the optimal synthesis condition. FTIR analysis identified –OH, C–H, C=C, and C–O functional groups derived from secondary metabolites that act as reducing and stabilizing agents. PSA results showed a dominant particle size of approximately 193 nm within the nanometer scale. These findings indicate that butterfly pea flower extract has strong potential as a sustainable and environmentally friendly biomaterial for AgNP synthesis with potential applications in health, environmental, and functional material fields.