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All Journal Jurnal Ilmu Pertanian Indonesia ComEngApp : Computer Engineering and Applications Journal VALENSI JURNAL KIMIA SAINS DAN APLIKASI The Journal of Pure and Applied Chemistry Research Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Journal of Chemistry Herb-Medicine Journal Chemistry Indonesian Journal of Chemical Research Jurnal Jamu Indonesia Jurnal Pengabdian Kepada Masyarakat Abdi Putra Indonesian Journal of Chemical Studies (Indones. J. Chem. Stud.) Indonesian Journal of Jamu
Rudi Heryanto
Department Of Chemistry, Faculty Of Mathematics And Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Advanced Research Laboratory, Institute Of Research And Community Services, IPB University, Jl. Palem Kampus
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Public Health Other

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Development of a Low-Cost Reflectance Visible Spectrophotometer with Chemometrics for Curcuma xanthorrhiza Roxb. Quality Control Heryanto, Rudi; Iswantini, Dyah; Rohaeti, Eti; Rafi, Mohamad; Rahma, Novia; Hafshah, Nurul; Mardiana, Eni
Jurnal Kimia Valensi Jurnal Kimia VALENSI, Volume 10, No. 2, November 2024
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v10i2.40351

Abstract

A simple, portable visible reflectance spectrophotometer was developed for classifying the quality of Curcuma xanthorrhiza Roxb. The device was assembled using consumer electronic components: an LED as the light source, a DVD optical layer as the diffraction grating, and a webcam as the detector, with web-based software (Spectral Workbench) as the signal processor. The spectrophotometer's performance was evaluated using standard Sudan III samples and powdered C. xanthorrhiza samples from two quality classes (A and B). Spectral data were analysed using principal component analysis (PCA) and partial least squares (PLS) regression.  PCA successfully grouped Sudan III samples by concentration and classified C. xanthorrhiza by curcuminoid content. A PLS regression model was developed for quantifying Sudan III, yielding R² values of 0.9909 for both calibration and cross-validation, with RMSEs of 0.3821% and 0.4152%, respectively. The results closely matched those from a commercial spectrophotometer. A PLS-discriminant analysis (PLS-DA) classification model for C. xanthorrhiza was also developed, achieving sensitivity and specificity values of 1. Additionally, semi-quantitative parameters such as decision limit (26.15% B), detection capability (41.06% B), and unreliability range (26.15–41.06% B) were calculated. The classification model showed strong sensitivity, specificity, and detection capabilities within acceptable limits. These findings suggest that this low-cost reflectance spectrophotometer, combined with chemometric methods, holds promise as a practical tool for the quality control of raw herbal materials.
Quality Control of Jati Belanda Leaves (Guazuma ulmifolia) using Image Analysis and Chemometrics Rudi Heryanto; Yeni Herdiyeni; Yuthika Rizqi Noviyanti
Jurnal Jamu Indonesia Vol. 1 No. 1 (2016): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v1i1.2

Abstract

The quality of medicinal plants, such as Guazuma ulmifolia (jati belanda, JB), affects the quality of the herbal material derived from them, and can be determined using image analysis. The objective of this study is to investigate the possibility of using an image-generated spectrum and chemometrics as a method for quality control of Jati belanda leaves. Three different quality levels of JB leaves were determined, based on their harvesting time, and confirmed by total flavonoid content analysis. The images of JB samples were collected and reconstructed as a reflection spectrum using the Wiener estimation. The reconstructed spectrum had a goodness-of-fit coefficient of 0.9576 and a root-mean-square-error (RMSE) of 36.65%, compared to the experimental spectrum. Principal Component Analysis (PCA) was used to classify the JB reconstructed spectrum based on its quality. A score plot of two PCs that represented 98% variance was able to group the JB spectrum. Further analysis using Partial Least Squares-Discriminant Analysis (PLSDA) showed that the method can result in around 90% prediction success rate with external validation. This study indicates that image analysis and chemometrics could be used as quality control methods for herbal material.
Penentuan Aktivitas Gabungan Ekstrak Etanol Pulosari (Alyxia reinwardtii) dan Secang (Sappan Lignum) Sebagai Inhibitor Tirosinase Yang Potensial Untuk Bahan Kosmetik Melalui Pendekatan In Silico dan In Vitro Fadilah Fadilah; Aryo Tedjo; Rudi Heryanto
Jurnal Jamu Indonesia Vol. 1 No. 1 (2016): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v1i1.4

Abstract

Tirosinase atau fenol oksidase adalah enzim utama yang terlibat dalam biosintesis melanin. Untuk menghindari produksi melanin secara berlebihan pada lapisan epidermal, maka dicari senyawa yang mampu menghambat tirosinase sehingga dapat digunakan sebagai bahan pemutih kulit. Inhibitor enzim tirosinase dapat diperoleh dari senyawa bahan alam diantaranya, polifenol, kumarin, stilben sebagai pengganti senyawa sintetik. Tirosinase telah diketahui struktur molekular sehingga dapat diketahui mekanisme kerjanya melaui uji in-silico dan pembuktian secara in-vitro. Penelitian ini digunakan untuk mendeteksi keefektifan gabungan dari ekstrak etanol pulosari (Alyxia reinwardtii) dan secang (Sappan lignum) sebagai inhibitor tirosinase. Dari hasil in-silico pengujian aktivitas inhibisi tirosinase menggunakan software MOE 2008 menunjukkan bahwa dalam ekstrak etanol dari secang yaitu senyawa brazilin dan rhamnitin berturut-turut memiliki nilai ∆G -15.6582 kkal/mol, -13.3378 kkal/mol dengan inhibisi 10.021 μM, 8.331 μM dan Hdon-acc 6, 8. Sedangkan dalam ektrak etanol dari pulosari dengan senyawa scopoletin dan zhebeiresinol berturut-turut memiliki nilai ∆G -12.1661 kkal/mol; -13.8982 kkal/mol dengan inhibisi 7.279 μM; 9.104 μM dan Hdon-acc 5 dan 6. Sedangkan senyawa parameter L-DOPA dan pembanding asam kojat berturut-turut memiliki nilai ∆G -9.8247 kkal/mol; -8.8047 kkal/mol dengan inhibisi 5.592 μM; 4.976 μM dan Hdon-acc 3; 3. Dari pembuktian secara in-vitro menunjukkan bahwa uji aktivitas inhibisi tirosinase berturut-turut dari secang (Sl), pulosari (Ar), gabungan Sl dan Ar dengan pembanding asam kojat memiliki nilai IC50 berturut-turut 797.090 ppm, 1962.934 ppm, 571.352 ppm dan 93.557 ppm. Sehingga dari hasil in-silico dan in-vitro disimpulkan bahwa penggabungan antara pulosari dan secang memiliki tingkat IC50 lebih baik dibandingkan pemberian masing-masing ekstrak.
Profil Kimia dan Toksisitas Jamu Berpotensi Antidiabetes yang Diformulasi dengan Metode Statistika dan Machine Learning Norma Nur Azizah; Rudi Heryanto; Wisnu Ananta Kusuma
Jurnal Jamu Indonesia Vol. 3 No. 1 (2018): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v3i1.47

Abstract

Bahan alam yang dapat menghambat spermatogenesis merupakan suatu alternatif untuk kontrasepsi pria. Penelitian ini bertujuan mengevaluasi formulasi optimum berbasis biji jarak pagar dan buah pare yang dapat menginhibisi spermatogenesis. Bahan sampel dimaserasi alkohol 70% untuk memperoleh ekstrak kasar. Ekstrak diujikan pada tikus Wistar jantan dewasa sebanyak 30 ekor dan dibagi menjadi enam kelompok secara acak (n=5 ekor). Kelompok I sebagai kontrol memperoleh pelarut akuades; kelompok II dan III secara berurutan memperoleh ekstrak biji jarak dan pare dengan dosis 50 mg/kgBB. Tiga kelompok lainnya, yaitu IV, V, dan VI memperoleh formulasi gabungan dengan rasio ekstrak biji jarak pagar dan pare 1:3, 3:1 serta 1:1, secara berurutan. Perlakuan diberikan per oral satu hari sekali selama 48 hari sesuai dengan siklus spermatogenesis. Pada akhir perlakuan, pemeriksaan sperma untuk konsentrasi dan kualitasnya serta bobot testis. Hasil uji rendemen ekstrak biji jarak pagar dan buah pare secara berurutan sebesar 6.11 % dan 3.32 %. Senyawa fitokimia yang terdapat pada ekstrak pare dan biji jarak pagar antara lain, alkaloid, fenol, flavonoid, tanin, saponin, triterpenoid, dan steroid. Efek ekstrak terhadap bobot testis dan konsentrasi sperma tidak ada perbedaan yang nyata antar kelompok (ANOVA P >0.05) sedangkan untuk kualitas motilitas sperma ada kecenderungan menurun pada formulasi ekstrak biji jarak dan buah pare (1:3).
Spektrofotometer Quali-Vis dan Kemometrika untuk Klasifikasi Kualitas Daun Wungu (Graptophyllum pictum) Silvi Agusri Putri; Rudi Heryanto; Eti Rohaeti
Jurnal Jamu Indonesia Vol. 3 No. 3 (2018): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v3i3.66

Abstract

Spektrofotometer Quali-Vis digunakan untuk mengklasifikasikan 3 sampel daun wungu dengan usia panen berbeda. Penelitian ini bertujuan mengevaluasi model klasifikasi menggunakan spektrofotometer Quali-Vis secara kualitatif. Model dikembangkan dengan akuisisi data menggunakan principle component analysis (PCA) dan partial least square-discriminant analysis (PLS-DA). Karakteristik awal sampel daun wungu ditentukan dengan analisis sidik jari kromatografi lapis tipis (KLT) yang menampilkan profil yang berbeda pada masing-masing usia panen. Perbedaan ini menjadi dasar klasifikasi untuk model PLS-DA yang terdiri atas model usia 1 bulan, 2 bulan, dan 3 bulan, yang menghasilkan rerata R2pred = 0.7794 dan root mean square error predict (RMSEP) = 0.2180. Model divalidasi dengan menentukan nilai parameter sensitivitas, spesifitas, presisi, dan akurasi yang menghasilkan nilai rerata masing-masing 0.95, 0.99, 0.98, dan 0.98 kesesuaian prediksi. Nilai-nilai ini menunjukkan bahwa model yang dikembangkan memiliki kemampuan klasifikasi yang cukup baik.
Identification of Significant Proteins Associated with Diabetes Mellitus Using Network Analysis of Protein-Protein Interactions Usman, Muhammad Syafiuddin; Kusuma, Wisnu Ananta; Afendi, Farit Mochamad; Heryanto, Rudi
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.82 KB) | DOI: 10.18495/comengapp.v8i1.283

Abstract

Computation approach to identify significance of proteins related with disease was proposed as one of the solutions from the problem of experimental method application which is generally high cost and time consuming. The case of study was conducted on Diabetes Melitus (DM) type 2 diseases. Identification of significant proteins was conducted by constructing protein-protein interactions network and then analyzing the network topology. Dataset was obtained from Online Mendelian Inheritance in Man (OMIM) and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) which provided protein data related with a disease and Protein-Protein Interaction (PPI), respectively. The results of topology analysis towards Protein-Protein Interaction (PPI) showed that there were 21 significant protein associated with DM where INS as a network center protein and AKTI, TCF7L2, KCNJ11, PPARG, GCG, INSR, IAPP, SOCS3 were proteins that had close relation directly with INS.
Co-Authors Aan Setiawati Achmad Fauzi Achmad Fauzi Amalia Yunita Aryo Tedjo Budi Riza Putra Budi Riza Putra Cecep Abdurohman Putra Debby Rahmawaty Derry Permana Dewa Saepurrahman Dimas Noor Dyah Iswantini Elsa Ramadanti Ervizal AMZU Eti Rohaeti Eti Rohaeti Fadilah Fadilah Farit Mochamad Afendi Gustian, Dudih Hafshah, Nurul Hanifullah Habibie Irma Herawati Suparto Jihad Hari Katrin Roosita Latifah K Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman Latifah Kosim Darusman M. Rafi Mardiana, Eni Megasari Putri Mohamad Rafi Mohamad Rafi Mohamad Rafi Muhamad Amar Norma Nur Azizah Novia Rahma Nurmaida Nurmaida Ramadhanti, Desi Rany Zalvianita Rico Sihotang Septaningsih, Dewi Anggraini Silvi Agusri Putri Siti Sa’diah Sukowati, Siski Andini SUMINAR SETIATI ACHMADI Usman, Muhammad Syafiuddin Wisnu Ananta Kusuma Wulan Tri Wahyuni Yudi Nata Yuthika Rizqi Noviyanti