Synthesis, Characterization and Computational Studies of Novel (E)-N-(3,4-Dimethoxybenzylidene)naphthalen-1-amine

Novel (E)-N-(3,4-dimethoxybenzylidene)naphthalen-1-amine (DBNA) ligand has been synthesized by refluxing 1-naphthylamine and 3,4-dimethoxybenzaldehyde in methanolic solution for 5-6 hours. The obtained compound was characterized by UV-Vis, FT-IR and 1H-NMR. All the spectral data confirmed the structure of the ligand

Optimasi Sistem Cerdas Pada Pengering Tanaman Obat Berbasis Internet Of Thing dengan Memanfaatkan Sumber Energi Terbarukan

Intisari ˗ Penelitian ini membahas tentang  optimasi sistem cerdas yang akan diterapkan pada sistem pengering tanaman obat berbasis internet of thing dan memanfaatkan sumber energi terbarukan. Pemilihan metode sistem kendali menjadi sangat penting karena sumber daya yang akan digunakan pada sistem pengering ini adalah energi terbarukan yang memiliki batasan waktu. Pada sistem pengering ini juga digunakan Internet of thing untuk memantau dan mengatur suhu ruangan kabinet. Untuk mendapatkan performa sistem yang optimal, maka diusulkan metode Smart Fuzzy sebagai sistem kendali cerdas untuk mengendalikan suhu ruangan kabinet agar mencapai target yang diinginkan pengguna. Pengujian metode sistem kendali dilakukan dengan menggunakan simulasi pada perangkat lunak komputer. Metode Smart Fuzzy yang diusulkan akan dibandingkan dengan  metode PID untuk membuktikan efektifitas dari metode yang diusulkan. Metode Smart Fuzzy merupakan metode kendali yang menggunakan logika Fuzzy untuk mengambil keputusan besar kecilnya sinyal masukan sebuah sistem. Metode ini menggunakan basis aturan yang diperoleh dari pengetahuan manusia. Hasil simulasi komputer yang diperoleh menunjukan metode Smart Fuzzy memiliki performa lebih baik dibandingkan metode PID. Hal ini terlihat dari osilasi pada luaran dengan menggunakan metode Smart Fuzzy lebih kecil dibandingkan dengan menggunakan metode PID. Kata kunci: Smart Fuzzy, basis aturan, logika, tanaman obat, temperatur ruang Abstract - This research discusses the optimization of an intelligent system that will be applied to the drying system of medicinal plants based on the internet of things and utilizing renewable energy sources. The control system method is becoming very important, given that the resources to be used in this drying system are renewable energy with a time limit. This drying system also uses the Internet of things to monitor and regulate the temperature of the cabinet room. In order to achieve optimal system performance, an intelligent control system method is proposed to control the temperature of the cabinet room in order to achieve the desired target of the user by using the Smart Fuzzy  method. The control system method will be tested on a computer using software simulations. The proposed Smart Fuzzy  method will be compared with the PID method to demonstrate the effectiveness of the proposed method. Smart Fuzzy  is a control method that uses Fuzzy logic to make decisions about the size of the input signal system. This method uses a rule-based approach derived from human knowledge. The results obtained from the software simulation show that the Smart Fuzzy  method has better performance than the PID method. From the output oscillation, it can be seen that using the Smart Fuzzy  method is smaller than using the PID method. Keywords: Smart Fuzzy, rule base, logic, medicinal plants, room temperatur

Optimization of Herbal Dryer System Based on Smart Fuzzy and Internet of Thing (IOT)

The herbal medicine industry is currently growing rapidly with increasing public interest in herbal medicine in Indonesia. Medicinal plant dryers have been developed but are still using conventional methods. Proper drying method is very influential on the content of active ingredients found in plants. Each type of plant has a different response, there are some plants that are sensitive to direct sunlight and temperatures that are too high and some are not. This research will take part in producing an adaptive medicinal plant dryer product with the help of a microcontroller that will be used for the herbal medicine industry. In addition, with an intelligent system based on the Internet of Thing (IoT), this tool can be monitored and controlled remotely so that it can make it easier for users to know the current conditions of herbs that are being dried in order to get effective and efficient drying results. This research is expected to improve the quality of medicinal plants in accordance with the needs of the herbal medicine industry to produce good quality drugs according to the standards of Good Manufacturing Practices (GMP)

Land Suitability for Ciplukan (Physalisangulata L.)Using Multicriteria Analysis

The study investigated the suitable land of Ciplukan (Physalisangulata L.), which is a source of medicine ingredient to lower the level of blood sugar. Ciplukan generally grows among wild plants. The objective of this research is to describe the characteristics of the land to grow ciplukan based on the land suitability. The class of land suitability is obtained by matching the physical character and chemistry from botanical garden land and overlaying appropriate maps with the requirements of growing ciplukan with ArcGIS. The class of suitability land acquired in the Botanical Gardens that earned the score of 6 to 8 is an area that does not suitable to cultivate the plants ,with the size 52,189Ha. The score of the lesser appropriate classification was of 9 to 11 with the size of area 180,966Ha. The score of 12 has the size of area 49,111Ha. The score of 12 fulfills 4 parameters. If all the land were suitable, then it would worth 3.9 to 11. The parameters which were not corresponding at all is the value of score was 6 to8. The actual area at the Botanical Garden land was 80 Ha. So, some parts of the land can be used to grow ciplukan

THE UTILIZATION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS FOR ANALYSIS OF LAND SUITABILITY FOR THE GROWING OF CIPLUKAN (PHYSALIS ANGULATA L.)

Remote sensing data and geographic information systems are widely used for land suitability analysis for crops such as coffee and corn. This study aims to analyze and map suitable land for the plant known locally as ciplukan (Physalis angulata L.).  As the cultivation of this plant is expected to be developed by the Institute of Technology of Sumatra, analysis of this type is needed. The parameters used in this study were slope, land use, rainfall and soil type. Information extraction from remote sensing data was carried out via visual interpretation of aerial photography used to create land-cover maps. Shuttle RADAR Topographic Mission (SRTM) data was converted from digital surface model (DSM) to digital terrain model (DTM) to provide elevation information. Land suitability analysis was performed using a scoring method and overlay analysis. The results obtained from the analysis identified several classes of land suitability for Physalis angulata L., categorized as suitable, less suitable, and not suitable. The less suitable class, scored at 9 to 11, comprised a total area of 180.96 ha, while the suitable area, scored at 12, comprised a total area of 49.1 ha

Synthesis, Characterization And Computational Studies Of Novel (E)-N-(3,4-Dimethoxybenzylidene)naphthalen-1-amine

Novel (E)-N-(3,4-dimethoxybenzylidene)naphthalen-1-amine (DBNA) ligand has been synthesized by refluxing 1-naphthylamine and 3,4-dimethoxybenzaldehyde in methanolic solution for 5-6 hours. The obtained compound was characterized by UV-Vis, FT-IR and 1H-NMR. All the spectral data confirmed the structure of the ligand

HMG-CoA Reductase Inhibitory Activity Potential of Iota-, Kappa-, and Lambda-carrageenan: A Molecular Docking Approach

HMG-CoA reductase is an essential enzyme responsible for the biosynthesis of cholesterol. Hyperactivity of HMG-CoA reductase will increase cholesterol production, leading to the elevation of blood cholesterol levels. Inhibition of HMG-CoA reductase is one way to block cholesterol biosynthesis to lower blood cholesterol levels. This study evaluated the inhibitory potential of iota-, kappa-, and lambda-carrageenan against HMG-CoA reductase. The study was undertaken by in silico method using a molecular docking approach via Autodock 4.2 assisted by ADT graphical user interface. HMG-CoA reductase co-crystal structure was used as the target, and iota-, kappa-, and lambda-carrageenan as the test ligands. The result revealed that iota- and lambda-carrageenan possess an excellent affinity to HMG-CoA reductase with the free binding energy of -12.44 and -11.87 kcal/mol and Ki value of 0.765 and 2.01 nM, respectively, which is found to be better than Simvastatin and the native ligand. The compounds' chemical properties influenced the molecules' molecular interactions affecting their affinity. The number of SO4 groups is assumed to affect the HMG-CoA reductase inhibitory activity of iota-, kappa-, and lambda-carrageenan. KEYWORDS: iota-, kappa-, and lambda-carrageenan; HMG-CoA reductase; inhibitory activity; molecular dockin

Formulasi dan Karakterisasi Liposom-Nanopartikel Kitosan sebagai Ajuvan Vaksin dengan Bovine Serum Albumin (BSA) sebagai Model Antigen

Latar Belakang: Ajuvan adalah komponen yang biasanya diberikan bersama vaksin untuk meningkatkan imunogenisitasnya. Kombinasi dua mode ajuvan diketahui dapat menghasilkan imunogenisitas yang lebih baik. Tujuan dari penelitian ini adalah untuk mengetahui karakteristik fisikokimia dan aktivitas biologis dari kombinasi liposom nanopartikel kitosan sebagai ajuvan vaksin. Metodologi: Preparasi ajuvan meliputi pembuatan nanopartikel kitosan dengan metode gelasi ionik, lalu enkapsulasi nanopartikel ke dalam liposom dengan metode injeksi etanol. Parameter yang diamati meliputi karakteristik fisikokimia (efisiensi enkapsulasi, ukuran dan distribusi ukuran partikel, zeta potensial) dan aktivitas biologis (efektivitas stimulasi pelepasan NO dan viabilitas sel secara in vitro) ajuvan. Data yang diperoleh dianalisis dengan uji ANOVA dan uji korelasi XY. Hasil Penelitian: Hasil penelitian menunjukkan bahwa penggunaan kitosan pada konsentrasi 1mg/mL dan pH5.5 menghasilkan efektivitas stimulasi pelepasan NO yang lebih baik secara in vitro dibandingkan dengan liposome yang tidak menggunakan preparasi nanopartikel kitosan (p<0.05). Ajuvan yang dihasilkan menunjukkan efisiensi enkapsulasi antara 71.1-88.7%; ukuran partikel antara 4.1-777.2nm; zeta potensial antara -2.1 hingga +4.3mV; dan viabilitas sel yang berkisar antara 72.2-99.9%. Kesimpulan: Kombinasi liposom-nanopartikel kitosan sebagai ajuvan vaksin dengan konsentrasi kitosan dan pH yang sesuai dapat meningkatkan efektivitas ajuvan dalam menstimulasi pelepasan NO secara in vitro dan menghasilkan karakteristik fisikokimia yang memenuhi kriteria