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All Journal HAYATI Journal of Biosciences Jurnal Ilmu Pertanian Indonesia FORUM STATISTIKA DAN KOMPUTASI Journal of Food and Pharmaceutical Science Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences Jurnal Kimia (Journal of Chemistry) International Journal of Renewable Energy Development SAINS DAN MATEMATIKA JURNAL KIMIA SAINS DAN APLIKASI Jurnal Ilmu Lingkungan The Journal of Pure and Applied Chemistry Research agriTECH INDONESIAN JOURNAL OF PHARMACY Indonesian Journal of Chemical Science Jurnal Penelitian Pendidikan IPA (JPPIPA) AcTion: Aceh Nutrition Journal Indonesian Journal of Chemistry Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Jurnal Ilmiah Pesantren Jurnal Ilmu dan Teknologi Kayu Tropis Jurnal Ilmu Kefarmasian Indonesia Jurnal Jamu Indonesia Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Media Agribisnis RESEARCH AND DEVELOPMENT JOURNAL OF EDUCATION (RDJE) Jurnal Pengabdian Polinema Kepada Masyarakat Prosiding Seminar Nasional Sasindo Jurnal Ilmiah Berkala Sains dan Terapan Kimia Dinamika Kesehatan: Jurnal Kebidanan dan Keperawatan Journal of Health and Nutrition Research Xplore: Journal of Statistics Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Journal of Food and Pharmaceutical Sciences Jurnal Tumbuhan Obat Indonesia Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan al Kimiya : Jurnal Ilmu Kimia dan Terapan Biodiversitas Journal of Biological Diversity
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Identification of Java Tea Adulteration by Babadotan and Tekelan using Machine Learning Ary Prabowo; Wisnu Ananta Kusuma; Annisa; Mohamad Rafi
Jurnal Jamu Indonesia Vol. 7 No. 3 (2022): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v7i3.273

Abstract

Java Tea (Orthosiphon aristatus) is a common herbal medicinal plant that functions as a health treatment and treats various diseases. The high demand for Java Tea causes high prices and a decrease in the amount of medicinal plant raw materials, causing various quality control problems such as the content of various bioactive components and adulteration from babadotan and tekelan. So far, the detection of adulteration has been carried out by various analyzes, including chemical analysis and statistical methods to process data. The data used is of high dimension with a very high-density level, thus causing difficulties in classification. The mixed data of Orthosiphon aristatus consists of 1201 features with a total sample of 216. This study uses a Random Forest (RF) method with a total of 100 trees, and the RF method is combined with the Recursive Feature Elimination (RFE) method. In the RF and RFE that can be produced, the optimum value for the number of features is 244. The experimental evaluation results revealed that the proposed method could achieve a high accuracy of 81.82% in identifying Orthosiphon aristatus.
UHPLC-Q-Orbitrap HRMS-based Untargeted Metabolomics of Sida rhombifolia Leaves and Stem Extracts Alfi Hudatul Karomah; Mohamad Rafi; Dewi Anggraini Septaningsih; Auliya Ilmiawati; Utami Dyah Syafitri; Nanik Siti Aminah; Muhamad Insanu; Abdul Rohman
HAYATI Journal of Biosciences Vol. 30 No. 4 (2023): July 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.4.770-778

Abstract

Sida rhombifolia, also known as sidaguri in Indonesia, is a medicinal plant commonly used as a herbal medicine because of its metabolite and biological activities. One of the several factors that affect plant metabolite composition and concentration is the use of plant parts. In this study, the experiment aimed to identify the metabolite profile in the leaves and stem extracts of S. rhombifolia using UHPLC-Q-Orbitrap HRMS-based untargeted metabolomics. The samples were distinguished by principal component analysis (PCA). Extraction of metabolites was conducted by sonication for approximately 30 min with 70% ethanol as the extraction solvent; 28 metabolites were identified. Seven metabolites were identified only in the leaves, three were identified only in the stems, and 18 other metabolites were identified in both the leaves and stems. These metabolites were categorized as flavonoids, triterpenoids, alkaloids, coumarins, phenolic aldehydes, phenolic acids, ecdysteroids, fatty acids, and monoterpene lactones. Based on the classification results, PCA grouped the leaves and stem extracts of S. rhombifolia using the peak area variables of the identified metabolites.
Metode SVM untuk Klasifikasi Enam Tumbuhan Zingiberaceae Menggunakan Variabel Terpilih Hasil Algoritma Genetika Triyani Oktaria; Utami Dyah Syafitri; Mohamad Rafi; Farit M Afendi
Xplore: Journal of Statistics Vol. 10 No. 2 (2021)
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.458 KB) | DOI: 10.29244/xplore.v10i2.783

Abstract

Ginger, red ginger, emprit ginger, elephant ginger, red galangal and white galangal are known to have similar shapes and uses, especially those that are packaged in powder form. In this study, UV-Vis spectrum 200nm-700nm were used as a source of data from chemical compound contain in those plants for classification of the six plants. In this research, the support vector machine (SVM) classification method was used to classify the six plants. Another goal of this study was to identify the wavelengths which give more information about the chemical compound of the plants. The preprocessing procedure was implemented by construction of a genetic algorithm. There were four parameters in the genetic algorithm were set namely population size, crossover probability, mutation, and generation probability. The mutation and the population size influenced significantly the results of SVM. The best result was given by probability of mutation was 10 and population size was 30. The SVM model was better than the SVM model without preprocessing procedure.
Uji Aktivitas Antioksidan dan Penetapan Kadar Flavonoid Total dan Fenolik Total Ekstrak Sidaguri (Sida rhombifolia L.) Asma Asma; Abdul Rohman; Djoko Santosa; Mohamad Rafi; Nanik Siti Aminah; Muhamad Insanu; Irnawati Irnawati
Journal of Food and Pharmaceutical Sciences Vol 10, No 2 (2022): J.Food.Pharm.Sci
Publisher : Institute for Halal Industry and System (IHIS) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.4955

Abstract

Sidaguri atau Sida rhombifolia L. telah digunakan oleh masyarakat sebagai obat tradisional, yaitu: penghilang rasa nyeri, radang, asam urat, penyakit kuning, muntah darah, dan sakit gigi. Faktor yang mempengaruhi produksi kandungan metabolit sekunder adalah kondisi lingkungan seperti tempat tumbuh, iklim, interaksi intra dan inter-spesifik serta waktu panen. Penelitian ini bertujuan untuk mengetahui aktivitas antioksidan serta kadar flavonoid dan fenolik total ekstrak sidaguri berdasarkan tempat tumbuh. Sampel diekstraksi dengan ultrasonic-assisted extraction (UAE) dan diuji penangkapan radikal bebas menggunakan metode 2,2’-difenil-1-pikrilhidrazil (DPPH) dan 2,2’-azino-bis(3-diethyl4benzothiazoline-6-sulfonic acid) (ABTS), serta penetapan kadar flavonoid total dan kandungan fenolik total. Hasil uji aktivitas antioksidan sidaguri dari Cangkringan dan Ngemplak memiliki aktivitas antioksidan tertinggi baik pada metode penangkapan radikal DPPH dengan nilai IC50 masing-masing sebesar 0,400±0,004 dan 0,403±0,004 mg/mL, maupun metode ABTS dengan nilai TEAC masing-masing sebesar 40,733±0,240 dan 35,598±0,153 mg/g serbuk sidaguri, dengan kadar flavonoid total masing-masing sebesar 10,095±0,068 dan 12,066±0,025 mg/g serbuk sidaguri dan kadar fenolik total masing-masing sebesar 56,45±0,068 dan 31,502±0,025 mg/g serbuk sidaguri.
Secretory Structures, Histochemistry, and Antibacterial Activity of Macaranga gigantea Evi Muliyah; Yohana C. Sulistyaningsih; Sulistijorini Sulistijorini; Mohamad Rafi
Jurnal Penelitian Pendidikan IPA Vol 9 No 11 (2023): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i11.5390

Abstract

Macaranga gigantea is a member of the family Euphorbiaceae. Anak Dalam tribe, an indigenous people that live in Bukit Duabelas National Park Jambi province, used to utilize the bark of M. gigantea to treat diarrhea. This study aimed to identify the secretory structure, histochemical aspects, and antibacterial potency of M. gigantea bark. Microscopic preparations have been made for the observation of secretory structures. Histochemical testing uses Wagner reagent, cupri acetate, ferric trichloride, and aluminum trichloride. Antibacterial activity was tested using the well diffusion method. The type of secretory structure was carried out. M. gigantea bark has idioblast cells as a secretory structure. The idioblast cells are distributed in the cortex. The idioblast cells contain phenolic compounds, alkaloids, and terpenoids. The well diffusion method was used to test different concentrations of bark extracts. According to the findings, M. gigantea bark extracts at 100 mg/mL had the best inhibitory activity against Staphylococcus aureus and Escherichia coli, with a maximal inhibition zone
Identification of Sida rhombifolia from Its Related Plants Using Thin-Layer Chromatographic Analysis Mohamad Rafi; Sefni Reza Yolanda; Dewi Anggraini Septaningsih; Maria Bintang; Nanik Siti Aminah; Muhamad Insanu; Abdul Rohman
Indonesian Journal of Chemistry Vol 23, No 1 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijc.73077

Abstract

Sida rhombifolia belongs to the Malvaceae family and is often used to treat gout in Indonesia. S. rhombifolia has many efficacies and contains many different chemical components. The abundance and variation of chemical content and chemical compounds in this medicinal plant are challenging factors in ensuring medicinal plants' safety and quality control. Thin-layer chromatography (TLC) fingerprint analysis derived from S. rhombifolia extract can also be used for the medicinal plant's quality control. This research aimed to develop the optimum condition for the chemical fingerprint analysis of S. rhombifolia using a TLC fingerprint analysis. A total of 11 bands were produced with optimum separation using silica gel 60 F254 TLC plate, a mixed mobile phase condition with chloroform, ethyl acetate, and methanol (6.5:2:1.5). This fingerprint analysis performed an excellent separation in the TLC plate at 366 nm with sulfuric acid as reagent derivatization. In general, the results of the analysis validation, including stability, specificity, precision, and robustness of TLC fingerprints, met the acceptance criteria. The TLC fingerprint of S. rhombifolia can be distinguished from 2 related plants with similar leaf shapes, Turnera ulmifolia L. and Hibiscus rosa-sinensis. The developed method was validated, so it could be used to control S. rhombifolia quality.
The influences of nutritional status and abdominal circumference systolic blood pressure in adult men Ni'ma Hilyatin; Katrin Roosita; Rimbawan Rimbawan; Mohamad Rafi
AcTion: Aceh Nutrition Journal Vol 9, No 2 (2024): June
Publisher : Department of Nutrition at the Health Polytechnic of Aceh, Ministry of Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/action.v9i2.1668

Abstract

The prevention and management of hypertension through healthy lifestyle modifications is a challenge for public health. The prevalence of hypertension among Indonesians was 34,1%. Lifestyle behaviors such as body mass index, central obesity, and sodium intake are associated with the risk of hypertension. This study aimed to analyze the influence of nutritional status and abdominal circumference on blood pressure in adult men. This cross-sectional research was conducted in Sukajadi Village, Bogor, between 2022-2023. The subjects were 73 purposively selected adult men. Data on subject characteristics were obtained through interviews. Anthropometric data were obtained by measuring abdominal circumference, body weight, and body height to assess the body mass index (BMI). Consumption data were collected using SQ-FFQ. The data analysis was performed using a linear regression test with a significance level of 95%. The results showed that Body mass index (p=0,007) and abdominal circumference (p=0,005) affected systolic blood pressure, while sodium intake (p=0,906) was not related to systolic blood pressure in adult men. Conclusions: Body mass index and abdominal circumference greatly influenced the systolic blood pressure. Further studies are needed to determine the various factors that influence systolic blood pressure and the risk of hypertension.
Effect of Ethanol-water Concentration as Extraction Solvent on Antioxidant Activity of Acalypha indica Salma Iza Fadhila; Elok Kamilah Hayati; Mohamad Rafi; Akhmad Sabarudin
al Kimiya: Jurnal Ilmu Kimia dan Terapan Vol 10, No 2 (2023): al Kimiya: Jurnal Ilmu Kimia dan Terapan
Publisher : Department of Chemistry, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ak.v10i2.30081

Abstract

Acalypha indica is an abundant and obtainable wild weed plant in Indonesia. This is a possible opportunity to enhance its utility. The effect of free radicals is one of the factors that contribute to oxidative stress in the body, which can lead to cell damage and trigger various diseases. Plants rich in antioxidants can inhibit free radical reactions and protect the body from oxidative stress. In this study, we conducted the identification of major metabolite compounds using UHPLC-Q-Orbitrap HRMS from 70% ethanol extracts of Acalypha indica. We also performed phytochemical and antioxidant activity tests with various concentrations of ethanol-water solvents including water, 30%, 50%, 70% ethanol, and absolute ethanol to determine the optimal extraction conditions and the influence of solvent concentration on the antioxidant activity of Acalypha indica extract. The results of UHPLC-Q-Orbitrap HRMS identification showed that the 70% ethanol extract of Acalypha indica contains 10 major compounds suspected to correlate with its antioxidant activity. These include five flavonoids compounds (palasitrin, vitexin 2"-o-p-coumarate, isorhamnetin 3- (3",6"-di-p-coumarylglucoside), peucenin, and sulfuretin), two amino acid compounds (2-amino-3-carboxymuconic acid semialdehyde and N-Acetyl-L-phenylalanine), two carboxylic acid compound (citric acid and traumatic acid), and one phenolic compound (quinic acid). Phytochemical tests show positive results for flavonoids, tannins, alkaloids, and triterpenoids in each of water, 30%, 50%, 70% ethanol, and absolute ethanol extracts. The best antioxidant activity was obtained from the 70% ethanol extract with an IC50 value of 47.064 ppm, categorizing it as an extremely strong antioxidant.
Penentuan Kadar Fenolik Total dan Aktivitas Antioksidan Enam Tanaman Hias Mohamad Rafi; Tanti Yulianti Raga Pertiwi; Syaefudin Syaefudin
Jurnal Kimia Sains dan Aplikasi Vol 22, No 3 (2019): Volume 22 Issue 3 Year 2019
Publisher : Chemistry Department, Faculty of Sciences and Mathematics, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2554.67 KB) | DOI: 10.14710/jksa.22.3.79-84

Abstract

Total phenolic content and antioxidant activity from six Indonesian ornamental plants have been studied. Those plants are Yellow Allamanda (Allamanda cathartica L.), Bigleaf Hydrangea (Hydrangea macrophylla (Thunb.) Ser.), Crystal Anthurium (Anthurium crystallinum Linden & André), Kapok Bush (Aerva sanguinolenta (L.) Blume), Siamese Calypha (Acalypha siamensis Oliv. Ex Gage), and Wishbone Flower/Bluewings (Torenia fournieri Linden ex E. Fourn). Extraction was carried out by maceration using ethanol as the extracting solvent. Total phenolic content was determined by the Folin Ciocalteu method. Antioxidant activity was measured using the 2.2-diphenyl-1-picrylhydrazyl (DPPH), reducing power, and cupric ion reducing antioxidant capacity (CUPRAC) method. Based on the results obtained, Bigleaf Hydrangea has the highest yield and total phenolic content about 15.45% and 13.86 mg gallic acid/g dry powder respectively. Siamese Acalypha leaves have the highest antioxidant activity for all methods used namely DPPH, reducing power, and CUPRAC with a value of 180.45; 202,17; and 589.90 µmol trolox/g dry powder, respectively. This indicates that antioxidant activity is not only derived from phenolic compounds because Siamese Acalypha leaves which have lower total phenolic levels than Bigleaf Hydrangea leaves provide higher antioxidant capacity.
An Eco-Friendly Synthesis of Silver Nanoparticles Using Extract of Capsicum chinense Jacq. as A Bio-reducing Agent Boyfannie Ivan Putra; Hermin Sulistyarti; Rurini Retnowati; Mohamad Rafi
Jurnal Kimia Sains dan Aplikasi Vol 26, No 3 (2023): Volume 26 Issue 3 Year 2023
Publisher : Chemistry Department, Faculty of Sciences and Mathematics, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jksa.26.3.101-108

Abstract

Silver nanoparticles (AgNPs) have become popular due to their unique properties that can be used as biosensors, composite fibers, semiconductor materials, and other medical applications. Green synthesis of AgNPs using natural reagents from plant extract offers advantages as an efficient and environmentally friendly technique by which the compounds from the extract perform as bio-reductor for silver ions and the capping agent for stabilizing the AgNPs. Therefore, the purpose of the study was to conduct the synthesis of AgNPs by utilizing an extract of Capsicum chinensie Jacq as the bioreductor. The effect of extract concentrations, duration of exposure to sunlight, and temperatures on AgNPs formation was studied to obtain the optimum synthesis condition. The biosynthesized AgNPs characteristics were analyzed using UV-Vis Spectrophotometry, FTIR, SEM, X-Ray Diffraction, and PSA. The results showed that the higher extract concentration produced smaller AgNPs. The synthesis under sunlight exposure showed more product of AgNPs compared to heating on a hot plate. The optimum conditions of biosynthesis of AgNPs were attained at the volume ratio of extract (20%) and AgNO3 (1mM) of 1:1 and duration of sunlight exposure of 90 min, resulting in AgNPs characterized with maximum wavelength 422 nm and average particle sizes of 67.94 nm.
Co-Authors A. Wahyuningrum ABDUL ROHMAN Abdul Rohman Abdul Rohman Abdul Rohman Abdul Rohman Abdul Rohman Abdul Waris Abdullah Abdullah Ade Heri Mulyati Ade Heri Mulyati Adi Novriansyah Afrianto Daud Agus Jatnika Effendi Agus Mohamad Soleh Akhmad Sabarudin ALFI HUDATUL KAROMAH Alfi Hudatul Karomah Alfi Hudatul Karomah Alfi Hudatul Karomah Alfi Hudatul Karomah Ali Miftahudin Allen Kurniawan Amalia Yunita Amrullah Amrullah Annisa Antonio Kautsar Ary Prabowo Aryo Tedjo Asefin Nurul Ikhtiarini Asma Asma Atang Sutandi Auliatifani, Reza Auliya Ilmiawati Aurentinus Zalukhu Baba Barus BAMBANG PRAJOGO Bambang - Riyanto Bambang Prajogo Eko Wardojo Boyfannie Ivan Putra Cahya Septyanti Cecep Abdurohman Putra Dea Silviani Derry Permana Dewi Anggraeni Septaningsih DEWI ANGGRAINI SEPTANINGSIH Dewi Pusparani Sinambela Dien Atin Boritnaban Djoko Santosa Dyan Fitri Nugraha E. Rohaeti Edy Djauhari Purwakusumah Edy Djauhari Purwakusumah Edy Djauhari Purwakusumah Elok Kamilah Hayati Endang Sunarwati Srimariana Esti Mumpuni Eti Rohaeti Fadila Karunina Farit M Afendi Fathimah Fathimah Fifi Gus Dwiyanti Ghufira Ghufira Hanifullah Habibie Henny Purwaningsih Herdiyanto Herdiyanto Heriyanto Syafutra Hermin Sulistyarti I MADE ARTIKA Ikrar M. Saleh Indah Mutiara Ningtyas Razaad Irma Herawati Suparto Irmanida Batubara Irnawati Irnawati Irnawati Irnawati ISKANDAR ZULKARNAEN SIREGAR Katrin Roosita Khaydanur Khaydanur Khaydanur, Khaydanur Khoirotul Muzayanah L. K. Darusman Laela Wulansari Latifah K Darusman Latifah K Darusman Latifah K. Darusman Latifah K. Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman Lee Wah Lim Lee Wah Lim Lenni Mariana Simbolon Liliek Nurhidayati Lisa Aprilia Indriyani Lisa Aprilia Indriyani LUKMAN LUKMAN Lusi Royani M. Agung Zaim Adzkiya Makmum Syafi’i Maria Bintang Maya Melati Meutia Samira Ismet Morina Adfa Muhamad Insanu Muhamad Noor Azizu, Muhamad Noor Muhamad Syukur MUHAMMAD BACHRI AMRAN Muhammad Bachri Amran Muhammad Fuad Zaini Muhammad Majiidu Muliyah, Evi Nadya Cakasana Nancy Dewi Yuliana Nanik Siti Aminah Neliwati NELLY MARLIANI Nengsih, Nunuk Kurniati Ni'ma Hilyatin Nita Hestiyana Nunuk Kurniati Nengsih Nur Alam Dwi Cahyati Nurameylia Rasaidi Nurhajawarsi Nurhajawarsi Nurlita Putri Anggraini Nursifa Mawadah Partomuan Simanjuntak Parwito Puput Melati Purnomo, Tsania Firqin Putra Astaman Putri Vidiasari Darsono, Putri Vidiasari R. Heryanto Reza Auliatifani Rifki Husnul Khuluk Rimbawan Rimbawan Rita K Sari Rizka Wildani Rizky Kurniawan Murtiyanto Rizna Azrianiningsari RONNY YUNIAR GALINGGING Roza Linda Roza Linda Roza Linda Roza Yusfiandayani Rudi Heryanto Rurini Retnowati Salma Iza Fadhila Sandra Arifin Aziz Sefni Reza Yolanda Septaningsih, Dewi Anggraini Setiawan, Budi Setyaningsih, Widiastuti Shinta Maharani Trivena Sifa Awalul Fikriah Siti Norazian Ismail Slamet Ari Dwi Ratnanto Sri Fauziah Sulistijorini SUMINAR SETIATI ACHMADI Suyanti Natalia Syamsudin Abdillah Syamsudin Abdillah Syifa Muflihah Tamimah Shafwatul Ishlah Tanti Yulianti Raga Pertiwi Taopik Ridwan Taopik Ridwan TATIK RAISAWATI Tatik Raisawati Toyohide Takeuchi Triawan, Deni Agus Triyani Oktaria Tsania Firqin Purnomo Tun Tedja Irawadi Umi Khabibah Usman Ahmad Utami Dyah Safitri Utami Dyah Syafitri Wahyuningrum, Maeda Waras Nurcholis Widia Citra Anggundari, Widia Citra Wina Yulianti Wisnu Ananta Kusuma Wulan Tri Wahyuni Wulansari, Laela Yanuar Chandra Wirasembada Yashinta Fitriani Yohana C. Sulistyaningsih Yohana Cecilia Sulistyaningsih Yulita Suyatmika Zulhan Arief Zulhan Arif Zulhelmi Aziz Zulliati Zulliati Zuraidah Nasution