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All Journal HAYATI Journal of Biosciences Microbiology Indonesia Pharmaciana: Jurnal Kefarmasian Jurnal Matematika & Sains Journal of Mathematical and Fundamental Sciences Jurnal Sains dan Teknologi Farmasi Jurnal Media Gizi Indonesia (MGI) INDONESIAN JOURNAL OF PHARMACY Jurnal Komputer Terapan ANNALES BOGORIENSES Jurnal Sisfokom (Sistem Informasi dan Komputer) FITOFARMAKA: Jurnal Ilmiah Farmasi Jurnal Respirasi (JR) Darmabakti Cendekia: Journal of Community Service and Engagements Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Narra J Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Jurnal Puruhita MEDICINUS Journal of Community Engagement in Health Annales Bogorienses
HENI RACHMAWATI
School of Pharmacy, Institute of Technology Bandung. Jl. Ganesha, 10, Bandung 40132
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Development of a Fluorescence Immunoassay Based on Curcumin Carbon Dots-labeled IgY Antibodies for SARS-CoV-2 Detection Rachmadani, Nisa Amanda; Soetomo, Meilisa Keizia; Taharuddin, Audrey Angelina Putri; Santika, Arum Sinda; Abdillah, Oktaviardi Bityasmawan; Permatasari, Fitri Aulia; Iskandar, Ferry; Rachmawati, Heni; Fibriani, Azzania
HAYATI Journal of Biosciences Vol. 33 No. 1 (2026): January 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.1.44-57

Abstract

Carbon dots (CDs) are widely utilized in biomedical applications as fluorescent labels for imaging and diagnostics due to their excellent biocompatibility and superior optical properties. These advantages often make CDs a substitute for organic fluorescent dyes, which suffer from low emission intensity and poor photostability when interacting with biomolecules. Moreover, carbon-based materials are eco-friendly and can be synthesized from natural sources, such as curcumin, a chromophore compound abundantly available in Indonesia. Therefore, this study conducted a preliminary investigation on curcumin CDs-labeled IgY antibodies (IgY-cur CDs) for fluorescence immunoassay of SARS-CoV-2 in rapid test applications. The synthesis of the fluorescent label involved a carbodiimide coupling reaction using EDC/NHS agents to conjugate IgY antibodies with curcumin CDs. The IgY-cur CDs conjugate was confirmed to detect antigens through FRET immunosensor mechanisms, showing a significant increase in fluorescence intensity with increasing antigen concentrations (p < 0.05), with a minimum sample concentration of 10 ng. Furthermore, the IgY-CDs cur conjugate was applied as a reporter in a fluorescence-based LFIA using a sandwich assay format. The test strip successfully detected synthetic multiepitope SARS-CoV-2 antigens with an estimated detection limit of 54.28 µg and nasopharyngeal samples from confirmed COVID-19 patients within 35 minutes of operation. The test strip was evaluated to be stable under cold storage at 4°C for up to 3 weeks. In conclusion, curcumin CDs-labeled IgY antibodies demonstrate promising potential for further development as fluorescent labels in rapid diagnostic applications targeting SARS-CoV-2.
Performance Analysis of Classification Models in Multiclass Facial Expression Recognition Based on Eigenface Features Yulina, Syefrida; Rachmawati, Heni
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1742

Abstract

Facial Expression Recognition (FER) is currently widely explored by researchers in the field of Computer Vision. The application of Machine Learning and Deep Learning methods is useful in developing an intelligent system that is accurate in recognizing facial expressions such as emotions. This is inseparable from the type of dataset and classification method used which certainly affects the desired results. To choose the right method, it is necessary to compare the performance of these methods. This study focuses on comparing the performance results of four classification methods namely, Convolutional Neural Network (CNN), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naïve Bayes Classifier (NBC) on a multiclass dataset for seven classes of facial emotion labels based on Eigenface feature selection uses the Personal Component Analysis (PCA) algorithm. The test parameters used to perform method comparisons are accuracy, recall, precision, f1-score, as well as the Receiving Operating Characteristic (ROC) and Area Under Curve (AUC) curves. The results of the analysis state that the SVM method has the highest accuracy value, while other methods show varying performance based on recall, precision, f1-score, and ROC and AUC analysis. This research was conducted on the FER 2013 dataset which showed that the classification method tested had quite good performance according to the test parameters.
DNA Condensation Study of Fully Synthesized Lipopeptide-Based Transfection Agent for Gene Delivery Vehicle Tarwadi, Tarwadi; Rachmawati, Heni; Kartasasmita, Rahmana E.; Pambudi, Sabar; Arbianto, Alfan Danny; Restiani, Dewi Esti; Asyarie, Sukmadjaja
Annales Bogorienses Vol. 22 No. 2 (2018): Annales Bogorienses
Publisher : BRIN

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Abstract

The main requirement of transfection agent has to condense DNA in nanoparticle size, protect the DNA from nucleases and other degrading enzymes during its transport in cell cytoplasm and nucleus and should not toxic to target cells. In this research, lipopeptide composed of palmitoyl (C-16) and short peptide sequence have been designed fully synthesized and tested to DNA condensation capability and toxicity. The DNA condensation study was performed using EtBr exclusion assay and cytotoxicity determination was carried out by colorimetric MTT assay. It was revealed that lipopeptide-based transfection agent of Pal-CKKHH and Pal-CKKHH-YGRKKRRQRRR-PKKKRKV condensed DNA molecules efficiently. The lipopeptide was less toxic compared to Lipofectamine and Poly-L-Lysine, that shown by 90% of CHO-K1 cells remained viable when they were treated with 4.36 µM Pal-CKKHHYGRKKRRQRRR-PKKKRKV. Meanwhile, there were only ~75% and 80% of CHO-K1 viable cells when it was treated with PLL and Lipofectamine®2000, respectively. Moreover, cell viability of HepG2 was ~ 75% after treated with 2.18 µM of Pal-CKKHH-YGRKKRRQRRR-PKKKRKV and decreased to ~65% when the lipopeptide concentration increased to 8.72 M. In summary, the synthesized lipopeptide condenses DNA molecules efficiently, less toxic than Lipofectamine®2000 and PLL and has possibility to be explored as a non-viral gene delivery vehicle.
Overproduction and Purification of Soluble Recombinant Human Granulocyte Colony Stimulating Factor in Escherichia coli Using Thioredoxin as Fusion Agustiyanti, Dian Fitria; Retnoningrum, Debbie Sofie; Rachmawati, Heni; Fuad, Asrul Muhamad
Annales Bogorienses Vol. 21 No. 1 (2017): Annales Bogorienses
Publisher : BRIN

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Abstract

Recombinant human Granulocyte Colony Stimulating Factor (G-CSF) has been produced in a soluble form in Escherichia coli BL21 (DE3) as a fusion protein. The open reading frame of G-CSF was synthetically constructed in previous work and was codon optimized for best expression in E. coli. In this research, the gene was fused to thioredoxin (Trx) at the N-terminal in pET32 vector. The purpose of this research was to optimize the overproduction and purification processes to obtain high yield recombinant protein in soluble form, and to characterize the Trx-G-CSF fusion protein. Overproduction was performed using IPTG induction method for 3 and 6 hours. The protein was purified by Ni-NTA affinity chromatography and separated using gradient concentration of imidazole. The purified protein was then characterized by SDS-PAGE and Western Blot analysis. Further, enterokinase was used to separate G-CSF from the fusion protein. The purified form of G-CSF was subsequently characterized using Western Blot and mass spectrometry using MALDI-TOF. The results showed that the fusion protein was successfully produced in soluble part as much as 48.25% were obtained after 3 hours of induction. The yield of fusion protein was 67.37% from total protein (229.65 mg protein/L culture). The Western Blot analysis showed the G-CSF band at around 18.6 kDa. Mass spectrometry with MALDI-TOF/ TOF revealed that 25.86% of amino acid residue was recognized as part of human G-CSF sequence.
RANCANG BANGUN PERANGKAT LUNAK ELECTRONIC DESIGN AUTOMATION UNTUK INDUSTRI SEMIKONDUKTOR INDONESIA Rachmawati, Heni; Armay, Edmond Febrinicko
JURNAL TEKNOSAINS KODEPENA Vol. 2 No. 2 (2022): Jurnal Teknosains Kodepena Vol.2 Nomor 2 Januari 2022
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v2i2.38

Abstract

Saat ini desain rangkaian elektronika semakin kompleks, sehingga kebutuhan perangkat lunak Electronic Design Automation (EDA) juga semakin besar. Perangkat lunak yang ada hanya mampu mendesain rangkaian elektronika dalam skala kecil, dan belum mengakomodasi peralatan sintesis dan analisis yang baru. Selain itu, perangkat lunak yang tersedia juga belum memanfaatkan geometri dan konektivitas layout komponen elektronika. Untuk memenuhi kebutuhan-kebutuhan tersebut di atas, telah dibuat suatu perangkat lunak yang menggunakan pendekatan integrasi dan basis data. Pendekatan integrasi digunakan karena memiliki keunggulan dalam hal kemudahan, kumpulan Input/Output (I/O) handlers dapat digunakan, fleksibel, dan fungsional, sehingga interaksi pengguna menjadi lebih seragam dan kuat. Pendekatan basis data, khususnya basis data berorientasi objek, memiliki keunggulan dalam hal banyaknya objek yang tak terbatas dan dapat menambah atribut pada objek apapun. Menggunakan kedua pendekatan di atas, perangkat lunak memperlihatkan peralatan-peralatannya dapat berinteraksi satu sama lain, kontrol perubahan sangat mudah dikelola, dan pengguna dapat membangun sistem kendala, sehingga memungkinkan manipulasi basis data.
RANCANG BANGUN PERANGKAT LUNAK ELECTRONIC DESIGN AUTOMATION UNTUK INDUSTRI SEMIKONDUKTOR INDONESIA Rachmawati, Heni; Armay, Edmond Febrinicko
JURNAL TEKNOSAINS KODEPENA Vol. 2 No. 2 (2022): Jurnal Teknosains Kodepena Vol.2 Nomor 2 Januari 2022
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v2i2.38

Abstract

Saat ini desain rangkaian elektronika semakin kompleks, sehingga kebutuhan perangkat lunak Electronic Design Automation (EDA) juga semakin besar. Perangkat lunak yang ada hanya mampu mendesain rangkaian elektronika dalam skala kecil, dan belum mengakomodasi peralatan sintesis dan analisis yang baru. Selain itu, perangkat lunak yang tersedia juga belum memanfaatkan geometri dan konektivitas layout komponen elektronika. Untuk memenuhi kebutuhan-kebutuhan tersebut di atas, telah dibuat suatu perangkat lunak yang menggunakan pendekatan integrasi dan basis data. Pendekatan integrasi digunakan karena memiliki keunggulan dalam hal kemudahan, kumpulan Input/Output (I/O) handlers dapat digunakan, fleksibel, dan fungsional, sehingga interaksi pengguna menjadi lebih seragam dan kuat. Pendekatan basis data, khususnya basis data berorientasi objek, memiliki keunggulan dalam hal banyaknya objek yang tak terbatas dan dapat menambah atribut pada objek apapun. Menggunakan kedua pendekatan di atas, perangkat lunak memperlihatkan peralatan-peralatannya dapat berinteraksi satu sama lain, kontrol perubahan sangat mudah dikelola, dan pengguna dapat membangun sistem kendala, sehingga memungkinkan manipulasi basis data.
Co-Authors Abdillah, Oktaviardi Bityasmawan Agustiyanti, Dian Fitria Agustiyanti, Dian Fitria Alfan Danny Arbianto Ali Iqbal Tawakal Ali Iqbal Tawakal Amalia, Riezki Ambarwati, Rini Amirah Adlia Amirah Adlia Amirah Adlia Anna Smdyah Putri Anna Surgean Veterini Annis Catur Adi Arbianto, Alfan Danny Arbianto, Alfan Danny Arini Setiawati Armay, Edmond Febrinicko Asrul Muhamad Fuad Asrul Muhamad Fuad, Asrul Muhamad Atsarina Anindya Azzania Fibriani Bambang Wahjuprajitno Citra Ariani Edityaningrum, Citra Damar Rasti Adhika Deandra Ardya Regitasari Deandra Ardya Regitasari DEBBIE SOFIE RETNONINGRUM Debbie Sofie Retnoningrum DEBBIE SOFIE RETNONINGRUM Dewi Esti Restiani Dian Fitria Agustiyanti Dwiyatna, Archie Arman Emyr Reisha Ishaura Estherina Juliana Marbun, Estherina Juliana Farapti Farapti Fathrizqita Aghnia Raudhany Fatona Suraya, Fatona Ferry Iskandar Hamzah Hamzah Herdiani Sulistyo Putri Hidayat, Erzi I Ketut Adnyana Irda Fidrianny Isaura, Emyr Reisha Iskandar, Fery Jessie S. Pamudji Kusnandar Anggadiredja Leonny Yulita Hartiadi Lili Fitriani Magdalena Yuni Kristanti Maharani, Dita Galuh Mahmud Aditya Rifqi Marlina Indriastuti Meirawan, Rizky Fajar Muhammad mahrus zain Nelly Setiawaty Nuthathai Sutthiwong Permatasari, Fitri A. Permatasari, Fitri Aulia Pricillia Sinambela Putri, Dea Mayang Yulia Rachmad Suhanda Rachmadani, Nisa Amanda Rachmat Mauludin Rahmah, Ainur Rahmana E. Kartasasmita Rahmana E. Kartasasmita Rasyidi, Mohammad Fahmi RATIH ASMANA NINGRUM Rehatta, Nancy Margarita Resmi, Juniar Kalpika Restiani, Dewi Esti Restiani, Dewi Esti Rika Hartati Rini Ambarwati S.Pd. M Kes I Ketut Sudiana . Sabar Pambudi Safira Prisya Dewi Sakinah Aljuffrie Salisa, Wizara Santika, Arum Sinda Sari, Ririn Andika Sarmanu, Sarmanu Satuman Satuman Shafiqah Adam Siti Fatimah Zahro Soetomo, Meilisa Keizia Sophi Damayanti Subijanto Marto Soedarmo Subijanto Marto Soedarmo Sukmadjaja Asyarie Sukmadjaja Asyarie Sukmadjaja Asyarie Sulistiawan, Soni Sunarso Syefrida Yulina, Syefrida Taharuddin, Audrey Angelina Putri Tarwadi Tarwadi Tarwadi, Tarwadi Tarwadi, Tarwadi Tjandrawati Mozef Tri Suciati Vidya Anggarini Rahmasari Vidya Anggarini Rahmasari Wenda Novayani Wibowo, Indra Widijiati Widijiati Widjiati Widjiati, Widjiati Widodo Jatim P Widodo Jatim Pudjirahardjo Widodo, Ferri Wijayanti, Ni PAD. Wizara Salisa Wizara Salisa Wizara Salisa Yeyet C. Sumirtapura YEYET CAHYATI Yogie Handoko