Journal of Informatics And Telecommunication Engineering
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Prototype Detection System Of Papaya Murability Using Fuzzy Logic Method Based On Color Sensor
Get PDFProduct selection based on the ripeness quality of papaya fruit is one of the stages in the processing of plantation products. At this time, the process of sorting papaya fruit is still using manual methods, especially in estimating the level of ripeness. Papaya is considered a climacteric fruit where respiration occurs and its ethylene production suddenly increases and then rapidly falls off. Fruit with a low respiration rate has a longer shelf life than fruit with a high respiration rate. To overcome this problem, this research created a prototype of a papaya fruit ripeness detection system using a color sensor-based fuzzy logic method. This fruit maturity detector can provide information related to fruit ripeness (unripe, half ripe, and ripe) which is determined from the color of the papaya fruit which is then processed using the Mamdani fuzzy logic method. The results of the prototype design can measure fruit with an accuracy rate of 93.33% of the 30 data tested by using tools that are in a cool place, with low intensity of incoming sunlight.
Keywords: Papaya fruit ripeness, TCS3200 Sensor, Mamdani Fuzzy Logic
The Nutritional Classification of Pregnant Women Using Support Vector Machine (SVM)
Get PDFDetermining the nutritional status of pregnant women is one of the efforts to control the condition of pregnant women so that they can adjust their health conditions properly. The health condition of pregnant women can affect the condition of the baby who will be born. This study aims to apply the SVM method to a web-based application to classify the nutritional status of pregnant women based on data obtained from several health centers in the city of Lhokseumawe. SVM functions as the core of the application in charge of classifying the nutritional status of pregnant women based on several features including: age, weight, height, lila, hemoglobin and BMI. While the data class consists of 3 categories, namely: undernourished, normal nutrition and normal nutrition + overweight. Primary data obtained from the field amounted to 355 data which were then divided into two parts with a ratio of 70% training data and 30% testing data. Based on the research conducted, it was found that the application of different kernels in the Support Vector Machine (SVM) will have a different performance impact in classifying data. In this study, the linear kernel has the best performance with an accuracy value of 0.84, the RBF kernel has an accuracy value of 0.83, the polynomial kernel has an accuracy value of 0.72, and the sigmoid kernel has the worst performance with an accuracy value of 0.5
Android-based Rooftop Solar Power Plant Capacity Calculator Application Development
Get PDFThe utilization of solar energy to produce electrical energy in the form of a rooftop solar power generation system (PLTS) is an option to anticipate fossil energy scarcity and reduce pollution. The Indonesian government also urges the public to participate in using PLTS. However, until now there are only 4000 users throughout Indonesia. The main problem with the small number of PV mini-grid users is the difficulty of obtaining information related to the material requirements and costs for building a PV mini-grid system. Therefore, this research then proposes the creation of an application that can provide convenience for the community to calculate the capacity requirements of PLTS and its costs according to the electrical equipment that is operated as needed. This article contains the process of designing, manufacturing and testing an application for calculating the capacity and cost of a PV mini-grid. The design sprint method used in this research is in the design and manufacturing process. While the application testing uses the black box and usability testing. The final result of the testing process shows that with the black box testing method by 3 experts, it is known that all functions of the application are 100% "Valid" which is already functioning according to the design. Meanwhile, the results of usability testing with 30 respondents resulted in a usability level of 82.83. Based on the standard usability scale system, the usability testing results obtained are included in the "Very Useful" predicate and are ready to be used by the community
Red Onion Customer Relationship Management System Business Process Design Using BPR LC Method
Get PDFCustomer Relationship Management merupakan sistem yang membantu proses bisnis dalam mengelola hubungan antara perusahaan atau organisasi dengan pelanggan. Akan tetapi Customer Relationship (CRM) jarang ditemui dalam sektor pertanian, terutama pada pertanian bawang merah di Jawa Tengah. Penelitian ini bertujuan untuk merekayasa ulang dan memperbarui proses bisnis yang sedang berjalan guna memperbaiki permasalahan tersebut dengan menggunakan teknologi Machine Learning dan memodelkan proses bisnis dengan Business Procces Modeling Notation (BPMN). Untuk memperlancar tujuan penelitan, penelitian ini menggunakan metode Business Process Reengineering Life Cycle untuk menghasilkan CRM bawang merah. Pada penelitian ini menghasilkan sebuah temuan yaitu proses bisnis yang baru dengan menyertakan teknologi Machine Learning yang ditampung pada aplikasi cluster petani yang telah digambarkan pada BPMN, hal tersebut dilakukan agar menunjang kekurangan dalam kegiatan petani agar lebih menjadi efisien dan optimal serta mendapatkan hasil panen yang diinginkan
Data Clustering Recommendations For Selection Student Majors To Higher Edication Using The K-Means Method (Case Study of SMAN 2 Palembang)
Get PDFSMA Negeri 2 Palembang has two majors, science and social studies. As a result of choosing the wrong major after entering college, students sometimes experience difficulties and feel the wrong major, in connection with this problem the author tries to provide a solution for determining majors for college using the k-means clustering method. In this study, the students were grouped using the data mining method. The group is based on the attributes of majors, interests, traits, hobbies, talents, and the average value of science and social science subjects. Clustering data using the K-Means method and measuring the Euclidean distance, analyzed using Microsoft excel manual calculations and RapidMiner tools. The results of the study indicate that Cluster 1 is a cluster that is recommended to take the Language major. Cluster 2 is a cluster that is recommended for a major in Engineering. Cluster 3 is a cluster that is recommended to major in Health/Medicine. Cluster 4 is a cluster that is recommended for majoring in Economics. Cluster 5 is the recommended cluster for majoring in Language. While the results of the calculation research using RapidMiner, Cluster_0 is recommended to major in Engineering, Cluster_1 is recommended to major in Economics, Cluster_2 is recommended to major in Language, Cluster_3 is recommended to major in Education, Cluster_4 is recommended to major in Medicine/Health
Optimization Model of Fishery Products Supply Chain Using Mixed Integer Linear Programming Method
Get PDFNorth Aceh is one of the districts in Aceh province that has great potential in the marine and fisheries sector. Many capture fisheries resources have become superior commodities, because some parts of North Aceh are suppliers of capture fisheries products. As for the problem in this study, there are several sub-districts in North Aceh district experiencing a shortage of fishery products supply due to their location far from the coastline, causing high logistics costs for the supply chain of fishery products. Therefore, an optimization model for planning the supply chain of fishery products is needed. The purpose of this study is to create a supply chain optimization model for capture fisheries using the mixed integer linear programming method. The steps involved in this research are compiling research instruments and literature review, collecting and analyzing data, determining parameters and decision variables, formulating objective functions and model constraint functions, designing optimization models, testing and modeling simulations. This model can minimize the operational costs of the fishery product supply chain from suppliers to consumers. Testing and simulating this model using the lindo program, with the result that the maximum value of the objective function is 36 in the 15th iteration
Analysis Of Variation In The Number Of MFCC Features In Contrast To LSTM In The Classification Of English Accent Sounds
Get PDFVarious studies have been carried out to classify English accents using traditional classifiers and modern classifiers. In general, research on voice classification and voice recognition that has been done previously uses the MFCC method as voice feature extraction. The stages in this study began with importing datasets, data preprocessing of datasets, then performing MFCC feature extraction, conducting model training, testing model accuracy and displaying a confusion matrix on model accuracy. After that, an analysis of the classification has been carried out. The overall results of the 10 tests on the test set show the highest accuracy value for feature 17 value of 64.96% in the test results obtained some important information, including; The test results on the MFCC coefficient values of twelve to twenty show overfitting. This is shown in the model training process which repeatedly produces high accuracy but produces low accuracy in the classification testing process. The feature assignment on MFCC shows that the higher the feature value assignment on MFCC causes a very large sound feature dimension. With the large number of features obtained, the MFCC method has a weakness in determining the number of features
Simulation of Active Sallen Key Notch Filter Circuit Using Circuit Wizard and Its Real Testing
No full textAn electronic circuit that functions to block or hold signals with intermediate frequencies (median) and will forward signals between low frequencies and high frequencies is the definition of a Notch Filter. The Band Stop Filter, also often referred to as the Notch Filter, is a combination of a Low Pass Filter and a High Pass Filter connected in parallel. This connection differs from the Band Pass Filter, which connects the Low Pass Filter and High Pass Filter in series. This study aims to discuss the simulation of the Sallen-key notch filter Circuit. The author also conducts real simulations to prove the Circuit by changing or adjusting the value of the components installed in the Circuit so that the frequency response is according to the target. The purpose and role of the Sallen-key notch filter and the working principle of the theory of each filter used. The research method used in the research work is to carry out virtual simulations using virtual simulators and live simulation
Implementation of the Naïve Bayes Method in Expert Systems for Diagnosing Achalasia
Get PDFThe purpose of this research is to solve the problem of diagnosing achalasia, which the general public does not yet know about the treatment procedures. Achalasia is a condition in which the muscles of the esophagus fail to push food or drink into the stomach. This condition can cause symptoms such as difficulty swallowing, regurgitation of food into the esophagus, and weight loss. The sample data used by the authors for the process of diagnosing achalasia in this study were obtained from experts (experts) through literature study data collection techniques and field studies (interviews and observations). The expert system method implemented by the author to solve the problem of diagnosing achalasia in this study is the Naïve Bayes method. Naive Bayes is a method that can provide a solution by determining the probability values of a phenomenon. The results showed that the Naïve Bayes method was able to diagnose achalasia quickly and easily with accurate and reliable solutions. So that it can be used as a relevant alternative to help ordinary people get solutions to cure Achalasia
Web-Based Digital Library Information System in Kotaraja Village
Get PDFLibraries as managers of information and knowledge must be able to use and utilize information technology optimally to meet various needs. However, the library in Kotarajara village has several obstacles including difficulties in finding the desired book, frequent loss of books due to data recording loan transactions are not managed properly, and the management of borrowing and returning books is still done manually, which is still done by writing on the book. This research aims to produce a web-based Kotaraja village library information system, and find out the feasibility and quality of the library information system. The model used in this study is Research and Development with the Waterfall method. Information system testing in this study uses the ISO 25010 standard which consists of 3 aspects, namely functionality, usability, and efficiency. The subjects in this study amounted to 10 people. Data collection techniques use questionnaires, while data analysis uses quantitative descriptive. The results showed that the information system developed based on the feasibility results of material experts amounted to 88.9% of the very feasible category, the results of the IT expert feasibility test obtained 82.3% of the very feasible category, and the results of user response of 81.2% of the very good category and the efficiency aspect of 91% grade B. Thus, it can be concluded that this application is feasible to be used as a web-based Kotaraja village library information system