UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Analisis Sentimen Review Halodoc Menggunakan Nai ̈ve Bayes Classifier
No full textHealthcare service has the role to help and serve people to access medical services, i.e. providing medicines, medical consultation, or health control. Healthcare service has been transforming to a digital platform. Halodoc is one of the digital platforms that people can use for free or paid, user can also give reviews of Halodoc’s performance and services on Google Play Store to give feedback that Halodoc can use to evaluate and improve the app. The Google Play Store review is increasing every day. Therefore an analysis for the review with sentiment analysis for Halodoc’s review is needed, first phase of sentiment analysis for the review is preprocessing which has tokenization, transform to lower cases, filter stopword, dan filter token (by length) processes. The data is divided into two positive and negative classes with cross-validation and a k-fold validation value of 10, using Naïve Bayes Classifier algorithm with 81,68% accuracy and AUC 0.756, categorized as fair classification
Deteksi Dini Mahasiswa Drop Out Menggunakan C5.0
No full textThe decline in the number of active students also occurred at the Faculty of Engineering and Information Technology, Universitas Jenderal Achmad Yani. This greatly affects the profile of study program graduates. So it is necessary to have a system that is able to detect students who are threatened with dropping out early. In this study, the attributes chosen were the student\u27s GPA and the percentage of attendance . This attribute is used to classify students who are predicted to drop out. The research data uses student data from the Faculty of Engineering and Information Technology, Universitas Jenderal Achmad Yani. This study uses the C5.0 algorithm to build a decision tree to assist data classification. The decision tree that was built with 304 data as training data resulted a C5.0 decision tree which had an error rate of 5%. The accuracy results obtained from the 76 test data is 93%
Implementasi Algoritma RC4 pada Sistem Pengamanan Dokumen Digital Soal Ujian
No full textThe development of science and technology has led to changes in the use of documents in life to become digital data. However, this can cause problems, namely regarding data security and confidentiality. To increase security and confidentiality can be done with cryptographic algorithm RC4. The research method uses the Waterfall method. The result of this research is a website that can secure document files with * doc extension using the RC4 algorithm. The test was carried out using the blackbox test and the CrackStation test for encryption testing. The results of the test show that the website can run well and successfully implements the RC4 algorithm
Blongsong sebagai Solusi Berbasis Kearifan Lokal: Faktor Pembatas Hama dan Sinar Matahari terhadap Belimbing (Averrhoa carambola L.)
No full textBuah belimbing yang terserang hama dan terkena sinar matahari berlebih akan menurunkan kualitas dan keberlangsungan hidup dari belimbing (Averrhoa carambola L.), hal ini menjadi faktor pembatas bagi belimbing (Averrhoa carambola L.). Petani konvensional mempunyai solusi dengan kearifan lokal yakni menggunakan blongsong atau pembungkus buah yang ada di pohon. Penelitian ini dilakukan bertujuan untuk memberikan konsep dasar blongsong sebagai solusi dari faktor pembatas sehingga kualitas belimbing meningkat. Selain itu, juga bertujuan untuk memberikan pengetahuan awal bagi pembaca dan masyarakat yang tertarik membudidayakan buah belimbing. Penelitian ini menggunakan metode kualitatif deskriptif dengan pengumpulan data melalui wawancara, observasi, dokumentasi dan dilengkapi dengan studi kepustakaan. Penggunaan blongsong sebagai pembungkus buah dengan menggunakan kertas semen, plastik ataupun daun jati mempunyai tujuan dan cara tertentu. Penggunaan blongsong dapat menjadi solusi bagi faktor pembatas hama yang merusak buah dan sinar matahari berlebih yang mengakibatkan sunburn. Selain itu buah yang menggunakan blongsong memiliki keunggulan diantara buah menjadi menarik, manis, sehat terbebas dari bahan kimia dan cepat masak/ matang.
[Star fruit that is attacked by pests and exposed to excessive sunlight will reduce the quality and survival of star fruit (Averrhoa carambola L.), this is a limiting factor for star fruit (Averrhoa carambola L.). Conventional farmers have a solution with local wisdom, namely using blongsong or fruit wrappers on the tree. This research was conducted to provide the basic concept of blongsong as a solution to limiting factors so that the quality of star fruit increases. In addition, it also aims to provide initial knowledge for readers and people who are interested in cultivating star fruit. This research uses descriptive qualitative method with data collection through interviews, observation, documentation and is equipped with a literature study. The use of blongsong as fruit wrapping using cement paper, plastic or teak leaves has a specific purpose and method. The use of blongsong can be a solution for pest limiting factors that damage fruit and excess sunlight that causes sunburn. In addition, fruit that uses blongsong has the advantage of being attractive, sweet, healthy, free from chemicals and ripe / ripe quickly.
Analisis Spektral Daya dan Koherensi Sinyal Electroencephalography (EEG) Area Frontal Pada Pecandu Rokok
No full textThis study will discuss the characteristics of the frontal area brain electrical signals in cigarette addicts before and after smoking based on QEEG analysis. Several neuroimaging techniques are used to understand the relationships between brain functionality. Quantitative Electroencephalography (QEEG) is a non-invasive technique that can be used to provide an overview of brain functionality through several physical quantities being assessed. Recording of brain signals using Emotiv Epoc 14 electrodes and only focuses on 8 frontal area electrodes (AF3, F7, F3, FC5, FC6, F4, F8, AF4) and 2 reference channels. The number of test subjects in the study was 5 people, male with an age range between 20-25 years. Brain recording was done when the eyes were open, eyes closed, and the task was to do math problems. Data analysis methods include pre-processing of EEG data to remove noise and artifacts, calculation of spectral power using Welch\u27s periodogram, and analysis of brain functional connectivity by calculating the amount of intra-hemisphere and inter-hemisphere coherence. The results of the analysis of the spectral power showed that before smoking an increase in the spectral power occurred at the delta and alpha wave frequencies, and a decrease occurred in the theta wave frequencies. Meanwhile, after smoking an increase occurred in the frequency of delta, alpha and beta waves and a decrease occurred in the frequency of theta waves. The coherence analysis results showed a significant difference in the coherence of the right intra-hemisphere of theta wave frequency and the inter-hemisphere coherence of beta wave frequencies before and after smoking
Application of Learning Vector Quantization Method in Kinect Device AS a Base of the Development of Behaviour Detection System
No full textOne of the lessons for mental disorder students in Special Schools is practicum lessons in the form of vocational education. This lesson uses equipment that requires prudence. Mental disorder students have characteristics that are low memory and move based on intuition. Teachers should pay extra attention especially to detect student behavior during the learning. This detection is needed for learning to take place smoothly and students are safe from the dangers around the practicum place. Teacher\u27s feedback on the detection obtained in the form of a warning from the teacher. This study is expected to be useful for providing a special detection pattern for students to assist teachers by providing feedback in the form of warnings using natural motion detection technology. This research was conducted using Kinect as data input and data was processed using artificial neural network and Learning Vector Quantization method. The dangerous attitude used in the test is the attitude of standing at the time of drilling position. The data used by training is 126 data and do training using LVQ. At the LVQ training stage, the training was conducted with parameter of Learning Rate 0,05, maximum Iteration 44, reduction of learning rate 0.01, and Learning rate minimum 0,02
Cluster Analysis of Earthquake\u27s Data Clustering in Indonesia using Fuzzy K-means Clustering
No full textThe earthquake is shocks or vibrations in the earth\u27s surface because of shifting layers of rock at the base of the earth\u27s surface. This natural phenomenon is common in Indonesia because it lies between Australian, Eurasian, Pacific plates, and it location surrounded by a ring of fire precisely. Therefore, this study aims to cluster earthquake events in Indonesia and describe the characteristics of each group based on clustering results. The method used is the Fuzzy K-Means Clustering. The clustering results obtained from clustering based on the depth, longitude, and latitude. In this study, the data used is the earthquake\u27s data, which has a magnitude greater than or equal to 5 SR and only clumped by depth. Based on the Davies-Bouldin and Dunn index, the best clustering is 2 clusters which researchers cluster earthquake data in Indonesia into deep and shallow clusters
The Study of Symmetry Energy in Pasta of Neutron Star From Compressible Liquid Drop Model Approximation
No full textThe properties of pasta which is located at the bottom of inner crust from neutron star has been studied by using compressible liquid drop model. Compressible liquid drop model is a modified liquid drop model as a density function. Liquid drop model based on assumption that the magnitude of nucleus bonding energy is contribution of surface, Coulomb, volume, symmetry, and proton-neutron pair effect. Pasta of neutron star behaves like liquid crystals (mesomhorpic phase). The top layer of pasta filled by free neutron gas, while in the lowest layer of the pasta is filled by proton-neutron gas. The properties of pasta are observed at temperatures close to zero Kelvin with the assumption that neutron star is on ground state and non accretion. The study of pasta emphasizes on symmetry energy’s influence. Symmetry energy reduces the magnitude of bonding energy of nucleon in the nucleus and it causes nucleon to be more easily released from nucleus. After that, symmetry energy influence the properties of pasta, such as the shape of nucleus that is non spherical (some like plates, rods, and bubbles), the fluctuative values of Wigner-Seitz cell, and uneven distribution of protons and neutrons in the pasta region of neutron star
Design and Characterization of Resistance Sensor to Optimize the Manufacturing of Infuse Water Lemon and Sprite Water Lymon Detection System
No full textThis research was purposed to design and characterize a resistance sensor. This research was conducted with three phases: designing, manufacturing and characterization of resistance sensor. Sensor design was done using the 3D paint software. The tools used in sensor manufacturing were PCB, resistors, and copper wire. The tools used in sensor characterization were power supply, ohmmeter and samples of infuse water lemon and sprite water lymon. Sensor characterization was done by varying samples of 50ml, 100ml, 150ml. Data acquisition for each of samples was repeated 3 times. The result of this research was showed an average and unpredictability with the repeatability resistance sensor on the sample of infuse water lemon (1,215 ± 0,723) V with repeatability 99.05% while for samples of sprite water lymon amounting to (1,12 ± 1,345) V with repeatability 99.24%. And was retrieved the value of the transfer function for sample infuse water lemon is y = (4,757-0.03542x) and for sample sprite water lymon is y = (1.40666-0.0028666x). This tool can be developed as a detection tool using resistance-based sensors
The Potential Role of 5-Methyl-2 (3H)-Furanone in Tamarindus indica as Lipoxygenase (LOX) Inhibitor: in Silico Study
No full textTamarindus indica is the Fabaceae family that is used in the pharmaceutical theuraphic because it contains polyphenols. One of the studies is to have anti-inflammatory properties. When inflammation occurs, , the lipoxygenase (LOX) pathway will be formed as a mediator of acute inflammation. Reducing inflammation, it is necessary to control genes that play a role in increasing inflammation, one of which is LOX. This study aims to analyze the potential of the 5-Methyl-2 (3H)-Furanone compound on LOX action. The compound 5-Methyl-2 (3H) -Furanone (CID 11559) was downloaded from the PubChem database. The 5-LOX protein was downloaded from Protein Data Bank (PDB 6N2W) and and prepared by removing ligands and molecules that bind to Discovery Studio V19.1.0.18287. The compounds and proteins were interacted with the Vina autodock software integrated in the PyRX software and analyzed using Discovery Studio V19.1.0.18287. The results showed 5-Methyl-2 (3H) -Furanone binds to lipoxygenase on the active sites of Gln329, Arg518, Ile330, Leu153, Glu146, Asn328, and Asp290. The three bioactive compounds tamarin bind to lipoxygenase with hydrogen, hydrophobic and van der Waals forces. The ligands and proteins that are formed produce energy -6Kcal/mol. The interactions that occur between compounds contained in Tamarindus indica have potential as inhibitors of LOX and are predicted to be used as compounds for inflammatory therapy