UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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The Social Engagement to Agricultural Issues using Social Network Analysis
No full textTwitter is one of the micro-blogging social media which emphasizes the speed of communication. In the 4.0 era, the government also promotes the distribution of information through social media to reach the community from various lines. In previous research, Social Network Analysis was used to see the relationship between actors in a work environment, or as a basis for identifying the application of technology adoption in decision making, whereas no one has used SNA to see trends in people\u27s response to agricultural information. This study aims to see the extent to which information about agriculture reaches the community, as well as to see the community\u27s response to take part in agricultural development. This article also shows the actors who took part in disseminating information. Data was taken on November 13 to 20, 2020 from the Drone Emprit Academic, and was taken limited to 3000 nodes. Then, the measurements of the SNA are represented on the values of Degree Centrality, Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality. @AdrianiLaksmi has the highest value in Eigenvector Centrality and Degree Centrality, he has the greatest role in disseminating information and has many followers among other accounts that spread the same information. While the @RamliRizal account ranks the highest in Betweenness Centrality, who has the most frequently referred information, and the highest Closeness Centrality is owned by the @baigmac account because of the fastest to re-tweet the first information
A Machine Learning Framework for Improving Classification Performance on Credit Approval
No full textCredit scoring is a model commonly used in the decision-making process to refuse or accept loan requests. The credit score model depends on the type of loan or credit and is complemented by various credit factors. At present, there is no accurate model for determining which creditors are eligible for loans. Therefore, an accurate and automatic model is needed to make it easier for banks to determine appropriate creditors. To address the problem, we propose a new approach using the combination of a machine learning algorithm (Naïve Bayes), Information Gain (IG), and discretization in classifying creditors. This research work employed an experimental method using the Weka application. Australian Credit Approval data was used as a dataset, which contains 690 instances of data. In this study, Information Gain is employed as a feature selection to select relevant features so that the Naïve Bayes algorithm can work optimally. The confusion matrix is used as an evaluator and 10-fold cross-validation as a validator. Based on experimental results, our proposed method could improve the classification performance, which reached the highest performance in average accuracy, precision, recall, and f-measure with the value of 86.29%, 86.33%, 86.29%, 86.30%, and 91.52%, respectively. Besides, the proposed method also obtains 91.52% of the ROC area. It indicates that our proposed method can be classified as an excellent classification
Forensik Mobile pada Layanan Media Sosial LinkedIn
No full textThe research explores mobile forensic on LinkedIn social media. Forensic mobile finds digital evidence of job hoax cases in LinkedIn, investigation using the NIST (National Institute of Standard and Technology) method. Data collection techniques using Andriller tools in investigations. Data examination using tools Root Browser, Autopsy in the forensic process. data analysis using tools MOBILedit in the forensic process. The investigation found digital evidence of log activity, a status update on LinkedIn. Other results found in the investigation are 17 WiFi password, 117 download history, 263 phone calls, 1 file deleted, 1 file hidden, and 1 file raised, the research has reached the expected target
Metode Accumulative Difference Images untuk Mendeteksi Berhentinya Putaran Kincir Air
No full textVannamei shrimp is one of Indonesia\u27s fishery commodities with great potential to be developed. One of the essential things in shrimp farming is a source of dissolved oxygen (DO) or a sufficient amount of oxygen content, which can be maintained by placing a waterwheel driven by a generator set engine called a generator. To keep the waterwheel running, the cultivators must continue to monitor it in real-time. Based on these problems, we need a method that can be used to detect the cessation of waterwheel rotation in shrimp ponds that focuses on the rotation of the waterwheel. This study aims to analyze the performance of the Accumulative Difference Images (ADI) method to detect the stopped waterwheel-spinning. This method was chosen because compared with the method that only compares the differences between two frames in each process, the ADI method is considered to reduce the error-rate. After all, it is taken from the results of the value of several frames\u27 accumulated movement. The ADI method\u27s application to detect the stopped waterwheel-spinning gives an accuracy of 95.68%. It shows that the ADI method can be applied to detect waterwheels\u27 stop in shrimp ponds with a very good accuracy value
Usability Analysis of Pornography Detection System on Internet Users using Mc’Calls Method
No full textAt this time there are several tools used to prevent a pornography, the most common one is nawala project that use filtering method in DNS, based on Keyword and Image. This method has a weakness, because it could be wrong, when a researcher or lecturer of science and technology need the information about “sex”, the keyword automatically can\u27t be access. Even at this time the maker of pornography sites already so intelligent, they give the sites name which is doesn\u27t have any correlation with pornography. Based on that reason, we proposed a Software quality testing with subject, usability analysis of pornography detection system on internet users using quality factor of Mc Call’s which combine the operability and training matrix as a means to determining the quality of software
Scientific Study: Enhancing Baby\u27s Body Immunity Through the Javanese Tahnik Tradition
No full textExistence of Javanese culture is still inherent in modern times with beliefs that cannot be abandoned. Tradition nyetaki is an expression of gratitude to God about the birth of a child. Based on the view of Islam, it is called tahnik, which is to chew dates until smooth and then put into the baby\u27s mouth and rub it into the palate so that there are some dates that are swallowed. In addition to dates, foods that are commonly used are sweet foods. Tahnik is done by people who are considered experts in religious science or have a high spiritual spirit. In the basics saliva and mouth store various kinds of bacteria. The phenomenon that occurs due to the tradition of tahnik is to strengthen the baby\u27s immunity. The research method is descriptive explorative qualitative. Data and sources are obtained through observation to the community and literacy studies from various valid reference sources. This study examines the local wisdom that is trusted by the people of Java about Islamic immunization. Cultural know-how involves dental peristalsis, oral amylase enzymes, and bacteria in the mouth. Positive bacteria in the tahnik process will move to the baby\u27s stomach so as to stimulate natural immunity. The bacteria contained in the mouth will make the natural immune system, so the body is resistant to these bacteria. The mouth contains an amylase enzyme that can break down glucose. Baby\u27s glucose needs are less than 20 mg/100 mL - 30 mg/100 mL of blood so that they are susceptible to contracting the disease. So, dates or sweet foods that contain carbohydrates break down into simple molecules and speed up the digestive process. The spiritual value of the power of prayer and public trust strengthens the baby\u27s immune system
Resistance Characteristics of Soil Fertility
No full textFertile soil is an important indication to support plant growth. The more fertile a soil then plant growth, the better. In this study, the method used is to measure the resistance of different types of fertilizer are manure, compost. Because different forms of land then the resistance will also vary according to the shape of the land. The results obtained are cage fertilizer that has the smallest resistance is 39.7 Ω and 33.6 Ω whereas compost and 35.4 Ω 41.9 Ω. The benefits of this method were to determine the resistance or resistance from the ground. So the lower the ground obstacles, the more fertile the land. Conversely, the higher the resistance of the soil, the more the soil is not fertile
Potential of Indigenous Bacteria from Batik Wastewater as Cu Bioremediation Agent
No full textCopper (Cu) is a heavy metal which can cause environmental problems in excessive amount. The presence of indigenous bacteria in a Cu-contaminated-environment can be used to reduce Cu levels in the environment. This study aims to determine the potential of bacteria isolated from batik wastewater as Cu bioremediation agent and to characterize those bacteria. Isolation of bacteria was carried out using the enrichment culture media consist of NB + 100 ppm CuSO4. The copper resistance test was carried out by growing bacterial isolates in NA media containing CuSO4 with concentrations of 200, 300, 400, 500, 600 and 700 ppm. The copper reduction test was determined by atomic absorption spectrophotometer. Bacterial identification was conducted by biochemistry characterization. The results showed that 10 bacterial isolates were able to grow on NA media containing 100 ppm CuSO4. Four bacterial isolates (namely α3, α5, α8, and α9) showed the highest resistance to CuSO4 (700 ppm). Bacterial isolates α3, α5, and α9 were able to reduce Cu by up to 75,03%; 76,73%; and 76,34%. The three bacterial isolates showed similar characteristics to members of the Genus Xanthomonas. Isolate α8 was able to reduce Cu up to 77,05% and was identified as member of the Genus Pseudomonas
Edible Film Application of Soybean Extract with the Addition of Tapioca Flour and Glycerol as A Green Grape Packer (Vitis vinifera L.)
No full textThis research has been carried out on the manufacture and characterization of edible films made from soybean extract with tapioca flour and glycerol applied in packaging for green grapes. This study aims to determine the effect of glycerol addition on the physical properties of the resulting packaging and the effect of the repetition of grapes immersion in the packaging solution on the grapes\u27 quality. This research\u27s stages were the manufacture of soy milk, film formation, film characterization, water vapor transmission rate (WVTR), and application test of packaging solutions to the quality of green grapes using weight and color loss tests. A variety of glycerol (0.5; 1; 1.5; 2; 3; 5%) and the optimum yield is used to coat green grapes. The results showed that the optimum composition for making an edible film was obtained in the edible film with the addition of 2% glycerol concentration. The addition of 2% glycerol concentration can affect the physical properties of the edible film with a thickness of 0.1235mm, tensile strength of 2.4768 MPa, elongation of 66.8786%, Modulus young 0.03702 and water vapor transmission rate of 2.5306 g/m2.hours and optimum immersion variations on grape quality green found at six times immersion