International Journal on Advanced Science, Engineering and Information Technology
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Embedding Data in Non-Important Gabor Ridges
Get PDFHiding information either by steganography or watermarking operation is essential for computer science. It is used as a method for sending secure and important information. It has special features that even if this information is discovered, the third part cannot reconstruct the original information in any way, not famously and commonly nor difficultly and especially by using any technique or algorithm. There are many hiding techniques; each one of them used different paths to ensure standard properties such as optimizing security level, increasing the amount of embedding data, decreasing the ability to reconstruct hidden information by any unwanted part. Here in the following suggested technique, different quantities of bits are hidden in various pixels depending on some discovered constraints by using the famous Gabor filter then divided ridges part in a selected fingerprint image for the purpose of hiding relevant information into important and non-important pixels that laying out of ridges in final images after applying Gabor filter which consider not important regions in fingerprint image for discovering important features from the image. The pixels used in hiding information belong to finger ridges in pure fingerprint images but covert to white pixels (valley) in the matrix after applying the Gabor filter and in original white pixels in both matrices by using different techniques for each type of pixels. The imaging stage constructed after the suggested technique is good and identical to the pure image for the accepted degree as shown in used fidelity metrics (PSNR). It is similar to a pure fingerprint matrix as proved in these metrics for calculating the level of goodness of proposed algorithms. Our algorithm exploits existing pixels in fingerprint image with different levels of importance and avoids pixels with high importance for protected important features from non-deterministic varying
Estimating the Nanobubble Aerated System and Stocking Density Effects on Oxygen Consumption and Survival of Litopenaeus vannamei (Boone, 1931) Postlarvae 8 Using Receiver Operating Characteristic (ROC) Analysis
Get PDFLitopenaeus vannamei postlarvae (PL) 8 were usually stocked at high densities, affecting the shrimp and water quality. This condition makes stocking density becomes a challenge in shrimp cultures, and one of the solutions for this is using a nanobubble aerated system. Meanwhile, there is a lack of robust studies estimating the nanobubble and stocking density effects on shrimp survival and water quality. This study used different stocking densities of 200, 400, and 600 postlarvae/L under nanobubble treatment and control (without nanobubble) to culture L. vannamei PL 8 and were assessed using Receiver Operating Characteristic (ROC) analysis. The ROC showed that the values of area Under the Curve (AUC) for dissolved oxygen (DO), survival rates, and oxygen consumption were 0.826 (95%CI: 0.598-1.000), 0.722 (95%CI: 0.47-0.794), and 0.576 (95%CI: 0.28-0.873), respectively. Considering these AUC values, it can be concluded that nanobubble treatment has the possibility to affect DO and shrimp survival, although it is not the same for shrimp oxygen consumption because it has the lowest AUC values. The optimum values for DO, survival rates, and oxygen consumption of shrimp under nanobubble treatment were observed at densities of 400 postlarvae/L. The survival and oxygen consumption of L. vannamei PL 8 at this density were 96.83% (95%CI: 95.2-98.4) and 0.52 mg/g/h (95%CI: 0.46-0.57). Meanwhile, water DO, temperature, and EC were 4.08 mg/L (95%CI: 2.84-5.32), 27.27°C (95%CI: 27.30-27.40), and 1.43 mS/cm (95%CI: 1.40-1.46), respectively. Nanobubble has maintained DO and temperature in the suitable range for L. vannamei PL8 survival
IT Service Management Intelligence Model to Support the Implementation of Electronic Government System (EGS) in Indonesia
Get PDFGovernment institutions operate in a diverse environment that includes a wide range of issues such as social, economic, political, cultural, and other related issues. This fact eventually leads to various challenges and problems related to public services. The state of the existing resources and the management mechanisms affect the quality of services. These conditions require a comprehensive approach to the government's system. Electronic Government System (EGS) architecture is developed to provide guidelines in synchronizing and integrating applications employed by central or regional government agencies. The purpose of EGS service management is to guarantee sustainability and improve the quality of EGS Services to EGS users. The development of smart and holistic service applications can be a starting point in achieving a quality service system, including the government system, a system of service management that involves various elements holistically. This research aims to propose an Information Technology Services Management Intelligence model to support the implementation of EGS. This model approach is based on a holistic view of an environment in delivering public information technology services. It is also based on ITSM and Intelligent Systems, including architecture, alignment, and adaptability. The proposed model assists developers in defining conceptual needs of information technology services based on business perspectives to create intelligent systems that can dynamically predict and meet their needs
Secure Communication Protocol for Arduino-based IoT Using Lightweight Cryptography
Get PDFWe witness massive implementations of the Internet of Things (IoT) in smart homes, smart buildings, smart vehicles, smart wearables as well as Industry 4.0 initiatives. Along with the massive adoption, IoT security has become more important and crucial in this case. Arduino, as IoT hardware platform, also requires enhancements on its security to ensure that data it transmits and receives is secured and has not been tampered in any way. Transmitting of IoT data and telecommand in plaintext is not secure. Securing transmission using traditional block cipher is computationally intensive for embedded-systems with low memory and computing power like Arduino. This research proposes a novel lightweight security communication protocol that is lightweight enough to run on the Arduino platform. The proposed protocol shall be utilizing a lightweight key agreement scheme, the SPECK lightweight block cipher, and BLAKE2s hash function. This protocol is designed to support telemetry and telecommand by using publisher-subscriber, which also is aimed to be extensible but straightforward for future enhancements. This research shows that a secure IoT communication protocol can be designed and implemented on Arduino devices and another IoT platform running Arduino core such as the ESP32. The performance evaluation of this protocol in Arduino Mega shows that the INIT phase's average execution time is 26.83 milliseconds. The key agreement is 13.50 milliseconds, and the encryption-decryption of telemetry and telecommand messages requires 25 milliseconds execution time. The protocol performance evaluation in ESP32 has an average execution time for INIT phase 44.63 milliseconds. The key agreement phase, 13.90 milliseconds, and the encryption and decryption of telemetry and telecommand messages requires an execution time of 17.10 milliseconds
Optimizing Reproductive Performances of Garut Sheep as Superior Local Genetic Resources by Modification of Dietary Grass and Concentrate Balances
Get PDFHigh-quality Garut rams are important to be selected for Garut sheep development to include improving their semen qualities. The semen quality is highly affected by dietary nutrient intake. This research aimed to conclude the effect of different grass and concentrate balances on performance and semen qualities such as motility, abnormality, the integrity of plasma membrane, and acrosome cap sperms of Garut rams. This research was conducted from August 25th, 2020, to February 2nd, 2021, at Margawati Sheep Breeding Center. A Completely Randomized Design (CRD) was used to compare 3 different grass and concentrate balance treatments (T1 = 80% grass: 20% concentrate; T2 = 60% grass: 40% concentrate; and T3 = 40% grass: 60% concentrate) on performance and semen qualities of Garut rams using 6 replicates (n = 6). The data were analyzed using analysis of variance and Duncan's test. The results showed there was no different among the treatments on average daily gain (ADG, g/head/day) and dry matter intake (DMI, g/head/day) but increasing level of dietary concentrate resulted in increased motility (
Genetic Stability Analysis Based on Inter-Simple Sequence Repeat And β-Carotene Content Analysis In Melon (Cucumis melo L. ‘GAMA Melon Parfum’)
Get PDFThe ‘Gama Melon Parfum’ (GMP) melons is a variety of plant breeding resulted from the genetics and breeding laboratory of the Faculty of Biology, Universitas Gadjah Mada. GMP melons have a unique phenotypic character of a bitter taste and a strong aroma that has the potential to be used for cosmetics and medicine. Stability and genetic variation test are necessary to ensure the quality control of ‘GMP’ melons for industrial raw materials. The content of carotenoids is also important to reveal in utilizing metabolites compounds. Phenotypic character analysis was performed by comparing fruit grown conventionally and hydroponically grown on ‘GMP’ melons. The molecular observation method is genetic variation using the PCR-ISSR method with 5 primer ISSR and comparison with other varieties, namely ‘Hikapel’, ‘Sky Rocket’, and ‘PI371795’. The data analysis was used UPGMA method and genetic similarity estimated by using Jaccard Coefficient with MVSP 3.1 program. The method for observing β-carotene content is the UV-Vis spectrophotometric method. The results obtained showed that hydroponically grown ‘GMP’ melons had a relatively smaller size and faded fruit color. However, phenetically, ‘GMP’ melons grown both hydroponically and conventionally are in one cluster with a similarity level of 80.9%. Genetic analysis on ‘GMP’ melons and comparison melons showed a high level of polymorphism of 58.97%. While the results of β-carotene analysis on ‘GMP’ melons were 140,829 g/100 gr. It can be concluded that GMP melon has a stable genetic character. Changes that occur in GMP melons are caused by cultivation methods and environmental factors
An Information System Risk Management of a Higher Education Computing Environment
Get PDFCyber risks, data loss or data leakage, loss exposure are one of the most customer and business significant threats. Those data contained information and were stored in electronic form that made them vulnerable to be hacked. The major target of hackers intruding is the higher education institutions. Therefore, many organizations perform information system risk management to identify their weaknesses and enforce the security of their system. The study aims to identify, analyze, and measure the risks associated with information systems speciï¬cally evolve in the higher education sector environment. Then it provides solutions and recommendations for the higher education sector to improve the quality of their information systems. Information system risk management was performed in the computing environment of the Faculty of Medicine, X University. It was conducted using the OCTAVE Allegro framework. The framework can streamline and optimize the information system risk management process through eight steps and various worksheets and questionnaire sheets for guidelines. After completing all the required data, the analysis was conducted to determine the critical information assets for the organization. The results showed that there were 8 (eight) critical information assets. One of them is the Student Profile. It was continued to be assessed using a chronological approach of information system risk management for improving security awareness and formulating mitigation strategies as the control actions. This paper's analysis and results are expected to contribute to the implementation of information system risk management for real case applications in different sectors
Estimating Indonesian Complete Life Table and Fair Annual Pure Premium Range from Abridged Life Table with Bayesian Method and Bootstrapping
Get PDFSeveral Indonesian life insurance companies recently faced financial problems due to inadequate pricing and idealistic investment expectation. Growing market and insurtech implementation might lead to worse conditions in the future. The current mortality table and investment return assumption are too ideal, so more conservative assumptions are required to get a more reasonable annual pure premium range. This research estimated complete life tables from abridged life tables by truncated Heligman-Pollard and Makeham model, when a lognormal stochastic process estimated annual investment return. Parameters for mortality models and return distribution are estimated using Bayesian method with Metropolis-Hasting’s algorithm. Data from the abridged life table was bootstrapped due to insufficient number for statistical parametric modeling. Good accuracy for estimated abridged mortality rates was reached by referring to the Mean Absolute Percentage Error (MAPE) metric for both males and females, also for the young ages group (new-born to twenty-nine years old) and old ages group (thirty to eighty-four years old). The parameters were satisfactory to estimate the complete life table and extrapolate annual mortality rates calculation until age ninety-nine. A log-normal distribution was found to fit the monthly inflation rates satisfactorily. Assuming that investment return is close to the inflation rates, the annual investment return is anticipated for both profitable and losing situations. Therefore, insurance companies can win the customers’ decisions without compromising their financial stability
Characterization of Physicochemical Properties of Chitosan Coconut Crabs Shells (Birgus latro)
Get PDFThe coconut crab, or in the language of North Maluku called coconut crab, is one of the biological resources with high economic value. People consume coconut crab dishes that have a flavor similar to lobster. The utilization of coconut crab shells has not been done. At the same time, this study aims to isolate and characterize chitosan coconut crab shells by deacetylation method using different concentrations of NaOH and different heating times. The results of the best chitosan synthesis with a variation of 15% NaOH concentration, 120 minutes of heating included the characterization of FTIR spectrum DD values (89.15%) so that there was an increase in crystallinity in each peak spectrum of 3448 cm-1 area that binds hydrogen bonds (O-H). Likewise, for molecular weight (368 kDa), the morphology of chitosan CC is shown using SEM, which shows the similarity of the structure of the microfibrils structure. In comparison, the XRD pattern shows distinctive characteristics of peak crystallinity. Likewise, the quality of water content, ash, protein, fat, color of chitosan CC is under the standards of Protan Biopolymer. Chitosan CC micrograph has the same shape of microfibril structure due to the heating process. While the average crystal peak is 19.2-29.4 O, the best treatment recommended in this study is the deacetylation process using a 10% NaOH concentration with a heating time of 120 minutes. Thus chitosan, which has the best characterization value, is used as a polymer that can be used in the food sector
Determination of the Appropriate Number of Photovoltaic Panels for Microgeneration and Self-supply of Final Consumers by Energy Production Estimation via Fuzzy Logic
Get PDFA method is presented to determine the appropriate number of photovoltaic panels that should be installed in an end-user photovoltaic installation to guarantee the supply of energy to the load during the hours of solar radiation, according to factors such as the installation area and global solar radiation. Solar radiation is predicted by approximating the daily distribution of global irradiance through a Gaussian function, which is subsequently corrected using a heuristic approach. Meteorological parameters are used as input data such as the daily solar insolation and the maximum global irradiance for each day; this last parameter is obtained through an expert system based on fuzzy logic that was programmed and trained with the data of ambient temperature and relative humidity that were obtained in the processing stage. Output from this expert system is the predicted values of maximum radiation obtained for each day for a selectable time interval. With the predicted solar radiation, the generation of electrical energy from the photovoltaic panels is calculated. The load is randomly modeled from a pattern of the energy demand of the building to be powered by the photovoltaic system. The number of photovoltaic panels needed is found with the information acquired in the previous stages and the information of the energy demand of the load and the installation area. The results are the number of solar panels that would be needed at all hours of the day from which the radiation prediction was made