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Nadya Mara Adelina
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Departmen of Food Technology, Faculty of Science and Technology, University of Al Azhar Indonesia Fakultas Sains dan Teknologi Universitas Al Azhar Indonesia, Lt. 5. Kompleks Masjid Agung Al Azhar, Jalan Sisingamangaraja, Kebayoran Baru, Jakarta Selatan 12110
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Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding
Published by Universitas Al Azhar Indonesia
ISSN : -     EISSN : 30326958     DOI : http://dx.doi.org/10.36722/exc.v1i1
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Focus and Scopes: Food Technology: Halal and Thayyib Food, Food Innovation Nutrition: Community Nutrition, Food Security Biology: Bioconservation, Biotechnology, Informatics Engineering Data Science: Artificial Intelligence Electrical Engineering: Communiication System and Networks, Mechatronics, Instrumentation, and Power System Industrial Engineering: Ergonomics, Supply Chain Management, Managemnet Engineering, Product Development
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 21 Documents
 1   2   3 
Product Defect Detection using Image Template Matching with MATLAB Muhammad Hasya Abdillah; Muhammad Arip Putra Sabilah; Andika Suherman; Dwi Astharini
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2344

Abstract

Abstract— In industrial manufacturing processes, ensuring the quality of products is crucial. This paper proposes a system for detecting defects in products using image template matching techniques implemented in MATLAB. The system's primary function is to compare captured images of products with predefined templates to identify potential defects accurately. The method employed in this system is template matching, a well-established approach in image analysis that allows for efficient defect detection. MATLAB, a widely used software tool for image processing, provides the necessary functionality and a robust set of algorithms to implement the proposed system. The experimental results demonstrate the effectiveness of the approach in detecting various types of defects, such as scratches, cracks, and misalignments. This defect detection system offers a reliable and automated solution for improving the efficiency and productivity of manufacturing industries. By enabling early detection and intervention, it contributes to enhancing product quality control and minimizing defective outputs, ultimately leading to cost savings and customer satisfaction. Keywords— Defect Detection; MATLAB; Template Matching; Image Processing
Dietary Diversity in Adolescents at State Junior High School 4 Depok, Sleman Regency, Yogyakarta: A Descriptive Study Yuni Kartika Wulan; Yunita Indah Prasetyaningrum; Sri Kadaryati; Desy Fitria Wardani
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2253

Abstract

Adolescents require balanced nutrition for their future growth and development. Adolescence is a time when there is a high risk of weight gain, especially in eating habits. A diverse diet for adolescents makes it easier to fulfill their need for various nutrients. This study aims to describe the dietary diversity of adolescents in state junior high school 4 Depok, Sleman Regency, Yogyakarta. This research was quantitative, using an analytic observational approach and a cross-sectional design. A purposive sampling technique was used to select 41 respondents. IDDS (Individual Dietary Diversity Scores) was used to measure dietary diversity based on nine food groups such as starch; green vegetables; vitamin A-rich fruits and vegetables; other fruits and vegetables; organ meats; fish, meat, and other processed meats products; legumes, nuts, and seeds; and dairy products. The majority of the adolescents, i.e. 21 individuals (51.2%), had a medium dietary diversity, while the remaining 20 individuals (48.8%) had a low dietary diversity. The adolescents consumed mainly starch (staple foods), other fruits and vegetables; eggs; fish, meat, and processed products; and dairy products. Adolescents from state junior high school 4 Depok Sleman Yogyakarta were mainly classified as having medium dietary diversity. Keywords: adolescents, dietary diversity, school age
Design Simulation of Automatic Lifted Bridge System using Arduino Uno Bambang Kurniawan; Kian Aryadi; Dwi Putra; Dwi Astharini
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2301

Abstract

The existence of bridges is needed as a means to connect interrupted paths separated by rivers, ravines, or the sea. On the one hand, the existence of bridges is sometimes an obstacle for large ships whose shipping lanes are blocked by bridges, so a bridge is needed that is able to move up to facilitate shipping to the lane. Usually, this raised bridge system is operated manually by the operator, so it is still inefficient. In this paper, we try to create a prototype design using an Arduino Uno microcontroller that displays an automatic raised bridge system. When a large ship is detected to be passing through the bridge, the system will give a warning that traffic on the bridge will be temporarily stopped with a red traffic light marked and the portal for motorists will be closed and then continued with the bridge open to ships. But if it is detected that there are still vehicles on the bridge, then the system will warn the ship to stop for a moment waiting for conditions or conditions on the bridge to become conducive, and then the bridge opens. After the ship has been detected far away from the bridge, the system and traffic on the bridge will return to normal.
FPGA Implementation of Kalman Filter for Visible Light Imam Wahyudi; Dwi Astharini; Danny M Gandana; Sofian Hamid; Denny Hermawan; Budi Aribowo
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2280

Abstract

Visible Light (VL) has received significant attention due to its benefits in energy efficiency, wide bandwidth availability, and resistance to electromagnetic interference. This final project discusses VL utilizing the Kalman Filter (KF) to predict and estimate the position of related data. The development of the VL method is carried out using Xilinx FPGA Arty A7 hardware, and the KF implementation is carried out in a two-dimensional framework with the Linear KF approach. The main objective of this Final Project is to implement VL using Photodetectors (Photodiode and Photoresistor LM393) on FPGA. The use of Xilinx FPGA Arty A7 hardware and Xilinx SDK software provides the flexibility and reliability required for system implementation. The results indicate that the implementation of Xilinx FPGA Arty A7-35T with KF and the use of 16 LED and 8 LED configurations yield relatively accurate estimations. While the Photodiode LM393 (PD LM393) sensor does not exhibit superior results compared to the Photoresistor LM393 (PR LM393) sensor, this research effectively optimizes light measurements by utilizing the sensor and KF algorithm. The Root Mean Squared Error (RMSE) results show that for the system with 16 LEDs, KF with PR LM393 has an RMSE of approximately ). This RMSE value indicates that KF with PR LM393 can provide relatively more accurate estimations. Similarly, for the system with 8 LEDs, KF with PR LM393 has an RMSE of around ). In this case, KF with PR LM393 again provides relatively more accurate estimations. Meanwhile, the RMSE result for 2D KF in this system is approximately ), indicating that the KF estimation has a relatively small error value compared to the actual measurement value. This demonstrates that KF effectively reduces noise and measurement data fluctuations in the LM393 Photodetector system with 16 LEDs.
Investigating the Impact of Nitrogen Addition in Growing Media using Liquid Organic Fertilizer on Pigment and Protein Content of Spirulina sp. Nadhira Saffana; Risa Swandari Wijihastuti; Nita Noriko
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2348

Abstract

Spirulina sp. is a highly promising microalgae with substantial protein and pigment content, holds great economic potential across various industries. However, the cultivation of Spirulina sp. often faces the challenge of high production costs, particularly in media formulation. To address this issue, the development of more affordable alternative media formulations is crucial. One potential approach involves utilizing a combination of liquid organic fertilizer derived from Canna indica waste and urea for cultivation. This study aims to determine the optimal ratio of the fertilizers mixture that influences protein and pigment synthesis. The study design employed a completely randomized design with seven treatment groups along with the control. The result shows that the treatment 2A (20 mL/L organic fertilizer; 125 ppm urea) demonstrated the highest dry biomass weight. Treatment 2C (22 mL/L organic fertilizer; 150 ppm urea) exhibited the best specific growth rate and carotenoid production, with the carotenoid production significantly differing from the control. Treatment 1A (20 mL/L organic fertilizer; 100 ppm urea) yielded the highest levels of chlorophyll and phycobiliproteins. Treatment 1B (20 mL/L organic fertilizer; 125 ppm urea) resulted in the highest protein production.
Light-Based Positioning System Using Arduino Nurul Imam Assidqi; Dwi Astharini; Sofian Hamid; Denny Hermawan; Budi Aribowo
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2286

Abstract

The Light Positioning System (LPS) represents an innovative technology employed for precise object localization by utilizing light as a positional reference. This method encompasses the utilization of light sources, such as LED lights or other visible light emitters, which can be strategically positioned at various orientations and angles. This research centers on the practical implementation of the LPS paradigm through the application of Arduino. Additionally, the study involves the integration of the Kalman filter algorithm within the Arduino framework to enhance the accuracy of sensor data estimations. The LPS implementation employs distinct sensors, namely the Photoresistor LM393, Photodiode LM393, and TF-Luna Lidar. The programming is accomplished using the Arduino Integrated Development Environment (IDE), while the hardware framework is based on the Arduino Mega 2560 microcontroller. In this research, the ESP32 module plays a pivotal role as it establishes a seamless connection between the sensor data and the Blynk platform. This integration empowers effective and comprehensive data monitoring and analysis, facilitating real-time tracking and evaluation of the LPS system's performance. The photoresistor exhibits better reading accuracy compared to the photodiode, as evident from the obtained RMSE values. The KF PR with 16 LEDs has the smallest RMSE value, which is 0,03. The TF-Luna LiDAR sensor readings are more accurate and effective under well-lit conditions as opposed to low-light conditions. The RMSE value at lux 160 is 1,28 , while the RMSE value at lux 2 is 3,32
Effect of Boiling Time on the Change of Moisture Content, Color Analysis and Granule’s Shape of Breadnut (Artocarpus camansi) Flour Azzahra Putri Diandra; Alya Yuniza Maharani Zain; Khansa Hanina; Vania Rahmawati Apriliani; Lukman Azis
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2353

Abstract

Breadnut is a local product with short shelf life that not optimally process and utilized in Indonesia. Breadnut is easily browning due to enzymatic activity. Meanwhile, breadnut potentially become alternative product due to the nutritional value mainly carbohydrate. The aim of this study evaluated the effect of boiling time on the change of moisture content, color analysis and granule’s shape of breadnut flour. Moisture content was analysis using gravimetric method then color analysis and shape of granule were using color meter and digital microscope, respectively. Data was expressed of mean±SD while statistically analysis using ANOVA with Duncan’s test to determine the significant difference (p<0.05). The results of this study showed that the moisture content, L and b* value of breadnut flour with boiling time of 10 and 15 minutes showed not significant difference (p>0.05). In addition, a* value not significant differ (p>0.05) for the breadnut with boiling time of 0 and 5 minutes. The granule’s shape of breadnut under microspore was visualized that boiling time change the size and shape of the granule due to heating and swelling. In conclusion, boiling time was changing the moisture content, color analysis and granule’s shape of breadnut flour.
The Impact of Incorporating Phosphor Into Liquid Organic Fertilizer Media on The Production of Pigment and Protein in Spirulina sp. Wendy Almira Kintoko; Risa Swandari Wijihastuti; Nita Noriko
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i0.2349

Abstract

Spirulina sp., a type of blue-green microalgae, possesses various beneficial properties such as antioxidants, probiotics, proteins, pigments, and carbohydrates, enabling it to generate a wide range of useful products. Previous studies using commercial fertilizers as the growth medium, have not achieved optimal pigment and protein production. Therefore, this study aims to investigate the impact of combining liquid organic fertilizer derived from Canna indica waste with TSP (Triple Super Phosphate) fertilizer on changes in pigment and protein production in Spirulina sp. The study was conducted for 16 days using a completely randomized design, with four replicates for each of the six treatments, along with a control. The results demonstrated a prolonged logarithmic growth phase, with the highest dry biomass weight observed on the 16th day in the treatment 1A (1,585 gr/L). Treatment 1A exhibited the highest levels of allophycocyanin and phycoerythrin pigments (9,861 mg/L and 4,319 mg/L, respectively), while treatment 1C yielded the highest protein content (0.33%). Statistical analysis on day 12, with a 95% confidence level, revealed significant differences in pigment production between various treatment groups. The study suggests that a phosphor concentration of 20 ppm is optimal for cultivating Spirulina sp.
Restaurant Recommendation Decision Support System Using Topsis System Nesya Rogawati; Indah Susilawati; Arita Witanti
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2248

Abstract

The vast technology development in the culinary aspect makes all kinds of information could be acquired easily. Information is needed to be one of some considerations when a person is going to book a seat in a restaurant. Hungryhub is restaurant booking service provider which helps customers to be able to make a reservation online. This research background is Hungryhub website development innovation which offers so many restaurants. The aim of this research is to help customers upon making decisions with restaurants' recommended option alternatives.This research is using Technique for Other Reference by Similarity to Idea Solution (Topsis). Data is collected from documentation and interviews. The documentation is obtained from survey fulfillment by the users which would be processed and references of the restaurant recommendations for the users themselves. The interviews are done with the Hungryhub operational team to get the restaurants' data which have cooperated with Hungryhub. The topsis method is chosen because it has a concept that chosen alternatives are alternatives which have the shortest range to the ideal positive solutions and have the farthest range to the ideal negative solutions. The result of this research is a recommendation system which could display alternative restaurants' ranking result.
Detection of Secondary Metabolites in Cucumber (Cucumis sativus) Leaves and Its Potential as Candidates for Acne Drug Using Histochemical Analysis and In Silico Study Devi Indrayani Fitri Asari; Ramizard Rafsanjani; Muchammad Faruq Vikriansyah; Abdullah Rozzen Muzayyan; Nurul Jadid Mubarakati; Gatra Ervi Jayanti
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2232

Abstract

Acne is a facial skin problem that is generally experienced by 75-80% of adolescents as a result of excessive production of oil glands and sweat, inflammatory mediators. The acnecausing bacteria, Propionibacterium acnes, involves KAS III and JNK 1 proteins, so it is expected to be an effective anti-inflammatory and antibacterial strategy. Cucumber leaves are known to have biological activity as a candidate for acne medication. This study aims to detect secondary metabolites in cucumber leaves through histochemical and in silico analysis. Histochemical analysis was carried out by preparing fresh leaves through lower leaf incisions by dropping secondary metabolite detection reagents and then observing the color changes microscopically. The in silico test aims to determine the physicochemical properties, pharmacokinetic properties and interactions of the active compounds with KAS III and JNK1 as acne drug targets through molecular docking. Histochemical analysis showed that cucumber leaves positively contained secondary metabolites, namely terpenoids, flavonoids, alkaloids, tannins, and phenols. Meanwhile, it was known that isovitexin, cucurbitacin B & C had fairly good physicochemical properties, but only isovitexin and cucurbitacin C had the best pharmacokinetic properties. Based on the results of molecular docking, there are the same amino acid bonds between isovitexin and the control at the JNK1 receptor, namely the amino acids Ile:32, Val:40 and Leu:168 and the binding affinity value is low so it is predicted to be the most effective in inhibiting JNK1. Therefore, cucumber leaves open up a new potential as a candidate for natural acne preparations.Keywords: acne, cucumber, secondary metabolites, histochemical, in silico

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