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INDONESIA
Indonesian Journal of Mathematics and Natural Sciences
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 27747832     DOI : https://doi.org/10.15294/jm
Core Subject : Education,
Other
Final decision of articles acceptance will be made by Editors according to reviewers comments. Publication of accepted articles including the sequence of published articles will be made by Editor in Chief by considering sequence of accepted date and geographical distribution of authors as well as thematic issue.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 25 Documents
 1   2   3 
Pengaruh Konsentrasi Gum Arabic Terhadap Karakteristik Fisik Tinta Sablon Kertas Berbasis Pigmen Alami Ekstrak Kunyit (Curcuma Longa L.) Melalui Metode Ultrasound-Assisted Extraction (UAE) Kiki Listia Akansha; Sahiba Sahila; Heribertus Rudi Kusumantoro
Indonesian Journal of Mathematics and Natural Sciences Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v49i1.50193

Abstract

Penggunaan pewarna sintetis dalam industri sablon menghasilkan limbah kimia yang sulit terurai, sehingga pigmen alami seperti kunyit (Curcuma longa L.) berpotensi dikembangkan sebagai alternatif tinta ramah lingkungan. Namun, tinta berbasis pigmen alami memiliki kelemahan pada stabilitas fisik sehingga diperlukan penambahan bahan pengikat seperti gum arabic. Pembuatan tinta dilakukan dengan mencampurkan ekstrak kurkumin dengan gum arabic. Metode ekstraksi kurkumin dilakukan menggunakan Ultrasound-Assisted Extraction (UAE) dengan pelarut etanol 96%, kemudian diformulasikan menjadi tinta dengan variasi konsentrasi gum arabic 0%, 2,5%, 5%, 7,5%, dan 10% (w/v) pada kertas kraft 150 GSM. Parameter yang diuji meliputi pH, kadar padatan, serta lightfastness melalui pengukuran nilai density dan L*a*b*. Hasil penelitian menunjukkan bahwa formulasi tinta optimal diperoleh pada konsentrasi gum arabic 10% dengan nilai pH 4,26, kadar padatan 14,96%, density 0,82, dan nilai ΔE sebesar 9,976 yang mengindikasikan peningkatan stabilitas warna setelah paparan cahaya. Dengan demikian, penambahan gum arabic meningkatkan stabilitas fisik dan kualitas warna tinta sablon berbasis ekstrak kunyit.
Preparation and Characterization of Potato Peel Starch-Based Bioplastic Using Different Starch and Gelatin Concentrations Sarah Nur Amanah; Rachmah Nanda Kartika; Yoga Putra Pratama
Indonesian Journal of Mathematics and Natural Sciences Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v49i1.54697

Abstract

Conventional plastic packaging has contributed significantly to environmental pollution due to its non-biodegradable nature. One promising alternative is potato peel starch-based bioplastic, which utilizes agricultural waste as a renewable raw material for biodegradable packaging. This study aimed to produce and characterize potato peel starch-based bioplastic with different starch and gelatin concentrations by evaluating its thickness, water absorption, solubility, and moisture content. Bioplastics were prepared using the solution casting method with starch concentrations of 3, 5, and 7 g and gelatin concentrations of 0, 0.5, and 1 g. Other materials used included glycerol as a plasticizer, chitosan, acetic acid, distilled water, and peppermint oil. The resulting bioplastics were characterized by measuring thickness, water absorption, solubility, and moisture content. The results showed that the bioplastics had thickness values ranging from 0.182 to 0.542 mm, water absorption of 52.37-82.15%, solubility of 23.68-39.84%, and moisture content of 13.94-18.92%. In general, increasing the concentrations of starch and gelatin tended to reduce water absorption, solubility, and moisture content, indicating the formation of a denser and more stable polymer matrix. The P7G1 formulation (7 g starch and 1 g gelatin) exhibited the most favorable characteristics, with the lowest water absorption, solubility, and moisture content. Therefore, this formulation has the potential to be further developed as an environmentally friendly bioplastic packaging material
Studi In Silico Senyawa Bioaktif Daun Sendok (Plantago Major) Sebagai Antidibetes R Susanti; Dinar Diyah Astuti
Indonesian Journal of Mathematics and Natural Sciences Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v49i1.22000

Abstract

Diabetes Mellitus is a disease caused by decreased pancreatic function to produce insulin or insensitivity of insulin receptors. This research aims to analyse the bioactive compounds in spoon leaves as antidiabetics and the mechanism of action in silico. Bioactive compounds were collected using Dr. Duke's Phytochemical and Ethnobotanical Databases. Compound unification was done through PubChem. Way2Drug PASS Online was used to analyse biological activities related to antidiabetic. SEA and Swiss Target Prediction databases to determine the target protein. Molecular docking was performed using Pyrx application and visualized with Biovia Discovery Studio. A total of 8 spoon leaf bioactive compounds targets alpha glucosidase, alpha amylase, and GLP-1 proteins that regulate the occurrence of diabetes with a Pa>0.5 value. Based on the docking results luteolin, plantagoside, nepetin and scutellarin are alpha glucosidase inhibitors with binding affinity values of -7.5, -8.7, -8.2 and -8.3 kcal/mol. Catalpol and neochlorgenic acid are alpha amylase inhibitors with binding affinity of -7.1 and -7, 3 kcal/mol. Aucubin and fumaric acid are GLP-1 acceptors with binding affinity values of -7.3 and -4.6 kcal/mol. Visualization of docking that nepetin and neochlorgenic acid compounds, have similar interactions and amino acid residues with control drugs so that they can be used as antidiabetic drug candidates.
Analisis Sentimen Ulasan Pengguna Aplikasi YouCut Pada Google Play Store Menggunakan Metode Logistic Regression Classifier: Sentiment Analysis of YouCut Application User Reviews on the Google Play Store Using the Logistic Regression Classifier Method Athifa Dihyan Calysta; Budi Prasetiyo; Regina Ayumi Ulayyaa
Indonesian Journal of Mathematics and Natural Sciences Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v49i1.27188

Abstract

The rapid development of digital technology encourages people to be more active in reviewing digital services, including mobile applications. User reviews play an important role in shaping an app's reputation and success in the market. However, the high volume of reviews makes it difficult to analyze manually. This research aims to automatically analyze the sentiment of YouCut app user reviews with a machine learning approach using the Logistic Regression algorithm. The dataset in the form of 1,000 user reviews in Indonesian language is taken automatically from Google Play Store and processed through the stages of data cleaning, text preprocessing, lexicon-based sentiment labeling, feature extraction with TF-IDF, and model training and evaluation. The analysis results show that the Logistic Regression model is able to classify sentiment with an accuracy of 89%. Visualization of sentiment distribution shows the dominance of positive sentiment by 62.2%. Analysis of dominant words through wordcloud revealed that users appreciated the ease of use and video editing results, but also voiced complaints about performance and ad interruptions. The findings provide strategic insights for developers to continuously improve the features and user experience of the YouCut app.
Pengaruh Konsentrasi ZPT NAA dan BAP Terhadap Pertumbuhan Tunas Bawang Merah (Allium cepa L. var. ascalonicum) Secara In Vitro Sholihatur Rohmah; Noor Aini Habibah
Indonesian Journal of Mathematics and Natural Sciences Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jm.v49i1.64568

Abstract

Teknik perbanyakan bawang merah secara in vitro dianggap lebih menguntungkan karena dapat menghasilkan bibit yang lebih sehat bebas patogen dan tidak bergantung musim. Faktor keberhasilan dalam kultur in vitro diantaranya zat pengatur tumbuh (ZPT) yang digunakan dan lingkungan kultur. Penelitian ini bertujuan untuk menganalisis pengaruh konsentrasi ZPT NAA dan BAP terhadap pertumbuhan tunas bawang merah secara in vitro. Rancangan penelitian yang digunakan adalah rancangan acak lengkap dua faktor yaitu konsentrasi NAA (0 ppm; 0,01 ppm; dan 0,1 ppm) dan konsentrasi BAP (0 ppm; 1 ppm; 2 ppm; dan 3 ppm). Eksplan umbi bawang merah diinkubasi selama 4 minggu. Parameter yang diamati adalah pertambahan jumlah daun, panjang daun, jumlah akar, dan panjang akar. Data dianalisis dengan Anova dua arah, diuji lanjut menggunakan uji Beda Nyata Terkecil (BNT). Hasil uji Anova dua arah menunjukkan bahwa konsentrasi NAA secara tungal berpengaruh secara signifikan terhadap jumlah akar dan jumlah akar. Konsentrasi BAP secara tunggal berpengaruh secara signifikan terhadap jumlah daun, panjang daun, dan jumlah akar. Kombinasi NAA dengan BAP berpengaruh secara signifikan terhadap pertumbuhan jumlah daun, panjang daun, jumlah akar, dan panjang akar. Hasil uji BNT menunjukkan bahwa konsentrasi NAA yang optimal dalam pertumbuhan jumlah akar dan panjang akar yaitu konsentrasi NAA 0,1 ppm. Konsentrasi BAP yang opimal dalam pertumbuhan jumlah daun, panjang daun, dan jumlah akar yaitu konsentrasi BAP 1 ppm. Kombinasi NAA dengan BAP yang optimal dalam pertumbuhan jumlah daun dan panjang daun yaitu kombinasi NAA 0 ppm dengan BAP 1 ppm. Kombinasi NAA dengan BAP yang optimal dalam pertumbuhan jumlah akar yaitu kombinasi NAA 0,1 ppm dengan BAP 1 ppm. Sedangkan kombinasi NAA dengan BAP yang optimal dalam pertumbuhan panjang akar yaitu NAA 0,1 ppm dengan BAP 2 ppm.

Page 3 of 3 | Total Record : 25

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