bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Tingkat Kepuasan Pengguna Sistem Pembelajaran Daring Menggunakan Metode End User Computing Satisfaction
Authors: Khairani Rahmah , Ahsyar Tengku Khairil , Saputra Eki
Published: January 2023

The Online Learning System (SPADA) is a system implemented by STIKes Hang Tuah Pekanbaru to create an effective and productive learning culture. In implementing this system, there are still some problems, such as features that do not work properly, the color of the system display is too simple, there are many submenus in one menu, users feel confused when they run the system for the first time, the data processing process is more time consuming and there are several menus. which has not been updated in a long time. In addition, from the beginning of its implementation until now, there has been no report that can explain how the level of user satisfaction with SPADA at STIKes Hang Tuah Pekanbaru. Therefore, an analysis of the measurement of user satisfaction with SPADA was carried out to determine the level of user satisfaction and make recommendations for improvement in the management of SPADA in the future. The method used is End User Computing Satisfaction or EUCS. This method is based on 5 dimensions, namely Content, Accuracy, Format, Ease Of Use, and Timeliness. The process of collecting data in this study was carried out through interviews, observations and distributing questionnaires to 98 respondents using the Simple Random Sampling technique. The data obtained were calculated using SmartPLS version 3.3. Where in this study the results showed that the level of satisfaction of SPADA users was 70%, which means that users were satisfied using SPADA. Furthermore, related to several problems that users complained about, the researchers gave 6 recommendations for improvements to SPADA which aim to increase SPADA user satisfaction at STIKes Hang Tuah Pekanbaru.
Land Price Classification Map in Jakarta Using Random Forest and Ordinary Kriging
Authors: Chandrasa Naufal Alvin , Prasetyowati Sri Suryani , Sibaroni Yuliant
Published: January 2023

This research provides information about land prices in Jakarta by classifying using the Random Forest method.  Where Random Forest is a data mining technique that is usually used to perform classification and regression.  Random Forest is one of the best classification methods.  It is found that classification accuracy will increase dramatically as a result of voting to select class types and ensemble tree growth.  The method helps in providing information about the classification of land prices with the class of land prices per meter less than IDR 15 million, land prices per meter with a price range of IDR 15 to 25 million and land prices per meter more than IDR 25 million. With a fairly good accuracy of 82%, this method can classify where the permeter land price data that is tested will match the predicted classification accurately.  Classification is performed on unbalanced data which is then oversampled using the ADASYN method.  Assisted by doing spatial interpolation with the Ordinary Kriging method using Semivariogram, information about the classification of land prices can be seen on the distribution of the Jakarta area map.  Ordinary Kriging can predict the estimated price per meter of land around the area of land that has a known price.  The Root Mean Square Error (RMSE) results of the best Semivariogram model are obtained from the lowest RMSE value, namely the Spherical model with a value of 1.014896e7.  The contribution of this research is to provide information about a reliable classification method, namely Random Forest and Ordinary Kriging performance as a spatial analysis method that can predict land prices per meter at unknown points so as to provide information about the distribution of land prices in Jakarta with each price class.
Rancang Bangun Alat Pemisah Buah Kopi Berdasarkan Tingkat Kematangan Menggunakan Sensor TCS3200 Berbasis Android
Authors: Salamah Irma , Muliawati Mega , Fadhli Mohammad
Published: January 2023

The processing of coffee before it can be drunk goes through a long process, namely harvesting coffee fruits that have matured either by machine or by hand, then processing coffee fruits and drying before they become spindle coffee. Before the roasting process, the coffee fruit is chosen first to be ripe in order to produce the last result of the best coffee process. After the coffee fruit is selected, the next process is stripping the ripe coffee fruit in order to speed up the post-harvest process of the coffee fruit. Harvesting will also affect the quality and taste of coffee, harvesting is usually done when the coffee fruit that has matured physiologically which is characterized by the color of the fruit skin becomes a red color. At the level of maturity of coffee fruits still occurs not simultaneously so that the harvesting process takes a long time. When the harvest period comes, the separation of coffee fruits is still mostly done manually by picking them in a simultaneous way. This simultaneous separation of coffee fruits makes the mixing of coffee fruits that are still raw, half-ripe, and already ripe, causing poor taste quality, that's why the author got the idea to make a tool that can make the coffee harvesting process simpler and more efficient, namely a coffee fruit separator tool based on maturity level aims to find out how the tool performs in detecting coffee fruits based on maturity levels and how performance  from a coffee fruit peeler. This tool can produce separate coffee fruits based on the degree of maturity, namely in the category of ripe, half-ripe and unripe. When coffee fruits that are still not separated between ripe, half-ripe and raw, are placed on the conveyor, the TCS3200 color sensor will detect the coffee fruit according to its color. The coffee fruit will be sorted automatically into a container that has been provided which is controlled by a servo motor that has been pre-programmed by Arduino. After the data from the coffee fruit separator has been read by the sensor, the Arduino will send the data to android via bluetooth connection. Furthermore, red coffee fruits or coffee fruits in the ripe category will proceed to the stripping stage. At the stripping stage, ripe coffee fruits will be peeled on a peeling machine controlled by a servo motor
The Organization Entity Extraction Telkom University Affiliated using Recurrent Neural Network (RNN)
Authors: Sutrisno Muhammad Daffa Regenta , Richasdy Donni , Ihsan Aditya Firman
Published: January 2023

In the news portal text, there is a lot of important information such as the name of the person, the name of the organization, or the name of the place. To obtain information in text documents manually, humans must read the contents of the entire news text. To overcome this issue, information extraction, commonly called Named Entity Recognition (NER) was used. The extraction of information expressly for the NER field is used to make it easier to process word or sentence data. It helps search engines and also helps to classify places, times, and organizations. There is a limited number of NER in Indonesian texts using only the Recurrent Neural Network (RNN) method. Similar previous studies only employed other versions of RNN such as LSTM (Long Short Term Memory), BiLSTM (Bidirectional Long Short Term Memory), and CNN (Convolutional Neural Network). NER is one of the answers to the problems that exist in a large number of news portal texts to obtain information effectively and efficiently. The results of this study indicate that the NER system using the RNN method in Indonesian news texts has an F1 -Score of 80%
Sentiment Analysis Against IndiHome and First Media Internet Providers Using Ensemble Stacking Method
Authors: Muhammad Fikri Arya Rafif , Jondri Jondri , Astuti Widi
Published: January 2023

Customer satisfaction is one of the factors that can be used to measure the success of service  in a company. In the era of the 2000s until now, internet service providers have continued to grow throughout the world, including in Indonesia. IndiHome and First Media are companies that provide internet services that make it easy for the public to communicate and obtain information. With many uses of IndiHome and First Media internet services, there are often several obstacles that cause various responses from users. Users usually channel these responses to IndiHome or First Media customer care on Twitter. The dataset for this study was obtained from Twitter using the Twitter API and the Tweepy library. The dataset that has been collected is 6.962 tweets for the IndiHome dataset and 8,089 tweets for the First Media dataset. This study conducts sentiment analysis using the Ensemble Stacking with three base classifiers and a meta classifier. The base classifier used is Naïve Bayes, K-Nearest Neighbor, and Decision Tree, while the meta classifier used is Logistic Regression. This study uses the term frequency-inverse document frequency (TF-IDF) to determine the frequency value of a word in a document. This study uses two test scenarios: testing without oversampling and testing with oversampling on the dataset. The results show that Ensemble Stacking with term frequency-inverse document frequency feature extraction produces the highest accuracy, with an accuracy value of 88.27% on the IndiHome dataset and 92.56% on the First Media dataset by oversampling on both datasets.
Implementation of the SAW Method in the Decision Support System for Giving Rewards for Honorary Employees
Authors: Sitompul Fikri Akbar , Helmiah Fauriatun , Rohminatin Rohminatin
Published: January 2023

Giving rewards to employees is one way to increase morale and improve performance for employees who excel. At the District Financial and Asset Management Agency. Asahan in choosing the best employees, the workload cannot be used as the only reference for the awarding of these rewards. However, there are several criteria that are also considered in giving rewards. So we need a decision support system to help the selection of the best employees. Temporary employees who are in government agencies have a percentage of 10% of the total number of registered employees. Every year, honorary employees renew their contract letters to continue their work. This is the basis for giving rewards or bonuses so that honorary employees are motivated to work and give the best results in carrying out and assisting civil servants in the government environment. The process of giving this reward was previously carried out manually, which is based on only one criterion, namely only from attendance. This makes it difficult to make decisions about the best honorary employees who are entitled to receive rewards. This consideration process is considered ineffective due to the different workloads of each honorary employee. To overcome the existing problems, we need a system in the form of a decision support system. It is hoped that this research will be able to determine the three best employees who are entitled to rewards in accordance with the performance criteria by calculating each weight of the criteria that have been set.
Penerapan Metode Trend Moment Untuk Prediksi Permintaan Telur Ayam
Authors: Wulandari Putri , Helmiah Fauriatun , Rohminatin Rohminatin
Published: January 2023

CV. Bintang Ternak Hessa Air Genting is one of the livestock companies engaged in the distribution and warehouse of chicken egg products, which is located in Hessa Air Genting Village, Asahan Regency. Based on the results of research and interviews conducted by researchers at CV. Bintang Ternak Hessa Air Genting, a problem that often occurs in the company is that there is often a shortage or accumulation of chicken egg products to be marketed, not in accordance with the number of requests from consumers. The purpose of this study is to apply the Trend Moment method to predict the number of Chicken Egg Demand in CV. Cattle Star Hessa Air Genting in the next few months based on the type of egg, namely A+, A, B, C, D, and E
Implementasi Metode MOORA Dengan Pembobotan Rank Order Centroid (ROC) dalam Seleksi Penerimaan Staff Gudang PT. Royal Abadi Sejahtera
Authors: Ramadhani Zahri Hubby , Hasibuan Nelly Astuti , Utomo Dito Putro
Published: January 2023

Warehouse staff is a job related to the storage of goods for production or production. Therefore, the person who occupies the position is required to have certain criteria. However, during this time, the warehouse head of PT. Royal Abadi Sejahtera has experienced difficulties in the process of accepting warehouse staff, because there are many applicants who come to apply and do not meet the expected criteria. The problem faced in this research is that the company is still doing the selection by looking at prospective staff willing to work, the work does not only require a level of willingness to work, but has skills, education, work experience, attitude in work and good communication. Decision Support System is a system that is used to assist in the decision-making process in an organization. In the process the Decision Support System uses several methods used in the decision-making process and one of them is the MOORA (Multi Objective Optimization on the Basis of Ratio Analysis) method and the ROC (Rank Order Centroid) method for the weighting process. The benefits that the author wants to achieve in this study are to assist the company in facilitating the process of accepting warehouse staff as input for companies in making decisions using a decision support system to provide a more objective assessment resulting from the Decision Support System.
Penerapan Metode Profile Matching (PM) Dalam Menentukan Pemilihan Duta Generasi Berencana (GenRe)
Authors: Nabila Atira , Hasibuan Nelly Astuti , Utomo Dito Putro
Published: January 2023

This study examines the selection of Generation Planning Ambassadors (GenRe) subjectively assessed so that there are several candidates who have the same weighting criteria values, making it difficult for the committee to determine which one is the best. Generation Planning (GenRe) in Pangakalan Koto Baru District by using a decision support system by applying the profile matching method. The final result of the research will be able to simplify the work of the selection process for the Generation Planned Ambassador (GenRe). This method compares the actual data value of a profile to be assessed with the expected profile value, so that the difference in competence (GAP), the smaller (GAP) ) is generated, the greater the value weight, which means it has a greater chance of being recommended for selection. There are 5 (five) criteria used for this calculation, namely Public Speaking, English, Insight, Attitude, and Initiative. The results of this study were carried out by assessing based on ranking using the Profile Matching method, from the 9 (nine) prospective ambassadors there were 2 (two) male ambassador candidates and 7 (Seven) female ambassador candidates. Of the male ambassador candidates, the highest score was Fadlan Ikhsan with a score of 4.48 and the lowest was Rafli Jasna Aziz with a score of 3.48. And for female ambassador candidates with the highest score is Syakina Aulia with a score of 5 and the lowest score is Gisti Rahmatika with a score of 3.5. The results of the ranking of the planned generation of ambassadors are seen from the highest score
Implementasi Metode Single Exponential Smoothing Dalam Memprediksi Kebutuhan Pupuk Bagi Petani
Authors: Rahayu Oktaviani Dwi , Ramdhan William , Sumatri Sumatri
Published: January 2023

CV. Bima Agung Sejati, Air Batu District sells various types of fertilizers needed by farmers. From year to year fertilizer needs for farmers in CV. Bima Agung Sejati, Air Batu District, is experiencing a shortage and excess stock of goods. This is due to stock procurement without predicting needs in advance. The aims of study are to apply the Single Exponential Smoothing method to the forecasting system in determining fertilizer needs for farmers on CV. Bima Agung Sejati, Air Batu District, then designed the forecasting system using the Visual Basic 2010 programming language and the database uses MySQL. the method used by researchers in conducting research and use in the process of analyzing data is the Single Exponential Smoothing (SES) method. The results of the implementation of this method show predictions in the next period counting Naga Mas as many as 709.59, Gaja Mas as many as 590.56, Rabbit Mas as many as 814.60. This forecasting yields with an average MAPE below 6%. Thus the use of forecasting results with the SES method is worthy of being used as a reference for good stock procurement in CV. The True Great Milky Way in the later period. In addition, calculations have been carried out systematically which makes it easier for the store to calculate quickly and easily
Penerapan Single Exponential Smoothing Dalam peramalan Kesempatan Kerja Terhadap Pencari Kerja Terdaftar
Authors: Patmawati Patmawati , Siregar Iqbal Kamil , Akmal Akmal
Published: January 2023

The Tanjungbalai City Manpower Office was established with the aim of being a mediator between companies or job seekers in terms of the fulfillment of manpower needs and job vacancies that enter every year. The problems faced in Tanjungbalai City certainly cannot be separated from job seekers who have not found jobs according to their talents, interests and experiences. This is partly due to the last education level which is still not evenly distributed and there are no companies that match the criteria for the latest education of these job seekers. The purpose of the study is to find out the general description of Job Opportunities for Registered Job Seekers at the Tanjungbalai City Manpower Office, to find out the Single Exponential Smoothing method model that is applied to the system can be used by the Tanjungbalai City Manpower Office in order to reduce the limitations of Job Opportunities for Registered Job Seekers with the Single method. Exponential Smoothing, knowing the MAPE value of the Single Exponential Smoothing method for forecasting Job Opportunities for Registered Job Seekers at the Tanjungbalai City Manpower Office in 2022 using the Single Exponential Smoothing method
The Effect of Initialization Weights for Multi Layer Perceptron Performance on Prediction of House Construction Costs
Authors: Rozaq Abdul
Published: January 2023

The house is one of the primary human needs besides food and clothing. Therefore, the community will always try their hardest to meet primary needs. For the middle and lower class people, it is going to very difficult to build a residential house because the income does not match the increase in house prices. With an artificial neural network, the middle to lower class people can estimate the costs that must be prepared if you want to build a residential house, of course this will be cheaper than using housing developer services. Based on the data that has been obtained, the researcher is then trained and tested using an artificial neural network with 13 data input, 25 hidden layers, a learning rate of 0.75, the number of iterations of 1000, the best test results are MSE value, 0.1, mean accuracy of 97.22 and computation time of 0,028 seconds
Penerapan Metode Single Exponential Smoothing Untuk Prediksi Penjualan Bahan Bangunan
Authors: Komariah Komariah , Kurniawan Edi , Handayani Masitah
Published: January 2023

UD. Karya Mandiri is a business engaged in the sale of goods, especially building materials contained in the Main Asahan Chart. As for UD. Karya Mandiri sells special building materials such as coconut wood, zinc, iron, nails, wall paint, wood, brickwork, ceramics and others. Based on sales data at UD. Karya Mandiri experienced an increase or decrease in sales every month. This makes UD. Karya Mandiri has a problem in controlling the inventory of building materials that cannot be predicted properly because it only calculates directly the amount of building materials left in the warehouse and then reports it to the owner and then orders the amount of building material inventory based on conventional assumptions. To avoid and reduce the level of loss in sales of building materials in the future, UD. Karya Mandiri needs a sales forecasting system. This forecasting method is Single Exponential Smoothing (SES), which can estimate sales over time with sales forecasts and request. The results of the final study that this system can predict the amount of building materials, namely in the July 2022 period broti sales 2177.18 (kg) MAPE value 15.41%, wood 2864.10 (kg) MAPE value 9.33%, zinc 532.16 ( kg) the MAPE value is 14.54% and the nail is 435.69, the MAPE value is 15.91%
Penerapan Metode Metode Dempster Shafer Untuk Mendiagnosa Penyakit Ginjal Berbasis Web
Authors: Wahyuni Sri , Hutahaean Jeperson , Maulana Cecep
Published: January 2023

Kidney disease is one of the non-communicable diseases with the highest proportion in Indonesia and is one of the causes of death in this country. Especially in Asahan District, the number of kidney patients who die is increasing over time, so there needs to be effective treatment so that kidney disease is no longer feared by the public because it is easy to treat. Many patients who experience kidney disease are getting worse because they cannot detect the early symptoms of kidney disease, which is still considered trivial. There is no information about kidney disease and its symptoms, making it difficult to diagnose the disease. In the diagnosis of this disease is limited to conventional diagnosis with doctors. it is necessary to build a system on a computer application to help diagnose kidney disease. To determine the level of kidney disease, an expert diagnostic system was made with the method used in this case is the Dempster Shaper method. This method is an approach method that is used is to measure the strength of evidence (facts) in supporting a set of propositions by providing a way to combine evidence from sources and bring or provide a level of confidence (represented through the trust function) which takes from all available evidence with input. required attributes and the likelihood of the disease and associated symptoms. The result of the implementation of the system is that the system provides an alternative to the symptoms experienced by the patient and the results of the process the system will provide information on kidney infection by 60% and also provide solutions with treatment
Sistem Pakar Untuk Diagnosa Penyakit Sapi Menggunakan Metode Bayes
Authors: Wardani Putri Eka , Siagian Yessica , Ihsan MHD
Published: January 2023

Cow disease can attack animals, both young and adult, in this case it is necessary to do a quick diagnosis to provide basic knowledge about cow disease. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help farmers to diagnose cattle disease. The purpose of this research is to build an expert system for diagnosing cow disease based on web. The application of the expert system in this decision making uses the Bayes method, in probability theory and statistics, the Bayes theorem is a theorem with two different interpretations. In Bayes' interpretation, this theorem states that one of the decision-making methods, this method was developed to solve decision-making problems by determining the probability value of the event and the value of evidence obtained from the facts about the object under study. What kind of cow did he experience in order to get a solution with treatment. From the results of testing and implementation of this expert system, it has been able to produce Brucellosis (Transmitted Keluron) disease with a weight = 2 which is higher than the weight of other cattle diseases
Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Mata
Authors: Masliana Putri , Siagian Yessica , Azmi Sri Rezki Maulina
Published: January 2023

Eyes are one part of the body that has an important role in human life. Eyes are often also affected by a disease that causes patients to go blind. Sometimes patients often experience early symptoms of unknown disease as if these symptoms are normal. This is due to lack of information about eye diseases so that patients do not understand the initial symptoms they experience are symptoms of one of the eye diseases that often occur if left untreated for a long time, eye disease will get worse. The diagnostic process requires an expert and experienced expert in order to produce the right diagnosis. However, the limited time that an expert has sometimes becomes an obstacle for patients who will consult to solve a problem to get the best solution. So for that patients need information about the disease, the researchers created a web-based system and contained expert knowledge so that they could answer what eye diseases they experienced. make a diagnosis in order to easily treat the disease. The application designed is a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help sufferers to diagnose the symptoms and types of eye diseases. The application of an expert system in making this decision by analyzing data using the Certainty Factor method to generate true and false values ​​on the new and old knowledge bases and comparing them with the weight values ​​in each frame so that the percentage of the disease type is obtained. From the results of the diagnostic process using this application, the system provides a choice of symptoms that must be answered by the patient based on the symptoms experienced by the patient, namely blurred vision such as foggy, seeing circles around light, and often changing the size of the glasses which results in cataract disease by 100% with a total value cf (Certainty) =26
Sistem Pakar Menggunakan Teorema Bayes Dalam Rekomendasi Penentuan Jenis Anestesi Pada Pasien
Authors: Siregar Siti Julianita , Sari Kartika
Published: January 2023

This study discusses the problem, namely the process of determining the type of anesthesia for patients before carrying out surgery. In determining the appropriate type of anesthesia based on the conditions experienced by the patient, generally anesthesiologists or anesthesiologists still use the common method, namely by conducting interviews related to the symptoms experienced by patients before anesthesia is carried out on patients who will be operated on. Then the anesthesiologist will write down the results of the interview in the form of a written report and will adjust the results of the interview related to the symptoms experienced with the existing anesthesia guidelines. And this will certainly take more time in adjusting the results of the patient's symptoms to the type of anesthesia that will be given. Along with the rapid development of technology, determining the type of anesthesia that will be given to the patient before it is carried out can be overcome by building an information system that is able to adopt the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System. In this case, a smart application in determining the type of anesthesia in android-based patients is designed using the Bayes Theorem calculation method, and it is possible for an anesthesiologist and anesthesiologist to administer anesthesia to a patient before a patient steps into the operation stage. Thus, it can also cause work productivity to increase and the time used to complete the work is getting shorter
Prediksi Harga Komoditas Pangan Menggunakan Algoritma Long Short-Term Memory (LSTM)
Authors: Adi Rizki Mugi Setya , Sudianto Sudianto
Published: January 2023

Food is a basic need for human survival. The existence of food is influenced by production and selling prices. The problem that exists is that food producers lose out with the dynamics of selling prices. In addition, the low selling price is not commensurate with the production costs that have been spent, especially for food producers in agricultural commodities, namely local farmers. Local farmers lose money because they do not know the price of commodities when selling their agricultural products. In addition, the game of intermediaries causes local farmers to sell their crops at low prices. So from the existing problems, it is necessary to predict commodity prices to help farmers determine the commodity prices before selling their agricultural products to the market. This study aims to predict the price of food commodities, especially in Banyumas, so that local farmers can find the price of commodities before they are sold to the market. The Deep Learning method used is Long Short-Term Memory (LSTM), which can remember a collection of information that has been stored for a long time with time series data. The results obtained, the model can predict food commodity prices. Meanwhile, the prediction model with epoch 50 shows the lowest Root Mean Squared Error (RMSE) with a value of 79.19%
Implementasi Analytical Hierarchy Process-Topsis Dalam Penentuan Marketplace Terbaik Di Indonesia
Authors: Novita Rice , Rahmadeyan Akhas , Vamilina Vina
Published: January 2023

The marketplace industry in Indonesia is starting to grow rapidly over time. Behind the convenience, some users still feel dissatisfied when making transactions. Problems that are often encountered are product incompatibility, delivery problems, types of payment methods, unsatisfactory service, to difficult return policies. In addition, many considerations such as prices, discounts, and promos make users confused about choosing the right marketplace to make transactions. This study applies the AHP-TOPSIS method as decision support to determine the best marketplace in Indonesia with the criteria used, namely discounts & promos, services, features, product quality, payment methods, and availability of goods. While the alternatives used are Tokopedia, Shopee, Blibli, Lazada, and Bukalapak. The results of the implementation with the AHP-TOPSIS method resulted in Shopee being the best marketplace recommendation with a preference value of 0.9897, followed by Tokopedia with a value of 0.7289, Lazada with a value of 0.4145, Bukalapak with a value of 0.0641 and Blibli with a value of 0.0059. The results of this study are expected to be useful for the community in making decisions on choosing the marketplace that best suits their needs and circumstances for conducting transactions
A Study of Feature Selection Method to Detect Coronary Heart Disease (CHD) on Photoplethysmography (PPG) Signals
Authors: Putra Faizal Akbari , Mandala Satria , Pramudyo Miftah
Published: January 2023

Coronary Heart Disease (CHD) is a condition in which the heart's blood supply is blocked or disrupted by fat in the coronary arteries. This disease is the most significant cause of death in Indonesia. CHD can be detected based on the Heart Rate Variability (HRV) index of the Photophletysmograph (PPG) signal taken from a smartphone's camera. However, the use of PPG from smartphone to detect CHD is still rare in real-world applications. Moreover, studies on CHD detection based on PPG signal are also difficult to be found in the scientific literature. Currently, the Electrocardiogram (ECG) signal still dominates as a signal for detecting CHD. This research fills this research gap by proposing a study on the feature selection of PPG signal to detect CHD. There are three feature selection methods studied in this research, i.e., Analysis of Variance (Anova), Pearson Correlation, and Recursive Feature Elimination (RFE). Furthermore, a classification algorithm, called as K-Nearest Neighbors, has also been chosen to create a machine learning model based on the PPG features. The experimental results show that the Pearson Correlation feature selection method produces better CHD detection performance compared to the other two algorithms (Anova and RFE). CHD detection performance using the Pearson Correlation produces an accuracy of 90.9%, sensitivity of 75%, and specificity of 100%.
Klasifikasi Pemberian Bantuan UMKM Cirebon dengan Menggunakan Algoritma K-Nearest Neighbor
Authors: Azizah Hira Wahyuni , Nurdiawan Odi , Dwilestari Gifthera , Kaslani Kaslani , Tohidi Edi
Published: January 2023

The Indonesian government in obtaining Real Time data on MSMEs who are entitled to assistance, accuracy in distributing MSME assistance, and accelerating Indonesia's economic growth through MSMEs, especially the Cirebon Regency area. There are several ways so that cash transfer assistance for micro-scale SMEs from the government is right on target, in this study the authors will use data mining techniques with the k-nearest neighbors method in classifying receiving assistance from SMEs. The data used in this study uses secondary data with attributes of Regency, District, Business Name, Product Name, Business License, Assets and Turnover. The application of the KNN algorithm uses the retrieval operator, cross validation, and in developing the model using the KNN algorithm operator, apply model and performance. The results of the accuracy are 98.46 % with details, namely the Prediction Results are Eligible and it turns out to be true as many as 339 Data. The Prediction Result is Eligible and it turns out to be true Not Eligible as much as 2 Data. Prediction results are not eligible and it turns out to be true as much as 4 data. Prediction results are not eligible and it turns out to be true, 42 data are not eligible. Recommendations for the pattern of knowledge obtained using the K-NN algorithm. Researchers provide recommendations that are feasible to be given assistance for MSMEs as many as 339 MSME participant data spread across the Cirebon district and included in the affected category. Then there are several MSME participants who cannot receive MSME assistance according to the application of the KNN algorithm, which is 42 data, and there are 2 data from participants who are proposed to receive MSME assistance. The hope of the research for participants who receive assistance from the government can survive in conditions like this covid 19
Implementasi Metode Complex Proportional Asessment (COPRAS) Pada Sistem Pendukung Keputusan Pemilihan Bluetooth Audio Transmitter
Authors: Alamsyah Dedy , Nuraini Rini , Bagir Muhammad
Published: January 2023

Bluetooth audio transmitter is a device capable of converting wired audio signals into wireless. With a Bluetooth audio transmitter, a TV or PC that doesn't have bluetooth facilities can connect to headphones or speakers without using a cable. However, currently bluetooth audio transmitters have been circulating in the market with various brands and brands that offer different capabilities and specifications. So, it takes foresight in choosing the right bluetooth audio transmitter and as needed. Inaccuracy in choosing a bluetooth audio transmitter results in the device's performance not being maximized and incompatibility with the wishes of the user. This study aims to develop a decision support system for selecting a bluetooth audio transmitter using the Complex Proportional Assessment (COPRAS) approach. The COPRAS method is able to solve election problems through the calculation of the utility level which shows the extent to which an alternative is better or worse than other alternatives through a comparison process. The system built has features such as managing criteria data, determining weights, managing alternatives, assigning a value to each alternative, seeing the results of the COPRAS method calculations and seeing the ranking of the results of the system recommendations. Based on testing through the black-box testing technique, it shows that the system built has been running as it should
Pendeteksian Penyakit Mulut dan Kuku Pada Sapi dengan Menerapkan Metode Naïve Bayes
Authors: Bani Alexius Ulan , Asruddin Asruddin
Published: January 2023

The outbreak of the issue in 2022 related to foot and mouth disease which is a viral outbreak experienced in ruminant livestock. This virus outbreak is a virus that is easily transmitted and attacks all types of animals that have even or split nails. The spread of this epidemic is very troubling for the breeder, one of the cattle or cattle breeders. Where as a result of this outbreak, many cattle breeders suffered enormous losses both in terms of finances and the time of raising their livestock. The reason is that many cattle breeders, especially in rural areas, do not know how to treat this disease early and require a large amount of money if the cattle are examined by a veterinarian. Therefore, to make it easier for cattle breeders, we need a way to find out the causes and conditions of cows suffering from mouth and hoof disease based on the symptoms experienced by cows, one of which is by using an expert system. Naive Bayes. The Naïve Bayes method is a probability method by predicting future opportunities based on past experience. As a result, the owner of the cow should treat the cow so as to avoid death and infection to other animals.
Pemilihan Komandan Komando Distrik Militer Menggunakan Metode WASPAS
Authors: Hutagalung Juniar , Boy Ahmad Fitri , Nofriansyah Dicky
Published: January 2023

At the Military District Command Defense Agency (Kodim) 0201/BS Medan, it requires a Decision Support System (SPK) by applying the web-based Weighted Aggregated Sum Product Assessment (WASPAS) method in the selection process for the Commander of the 0201/BS Medan Kodim. Previously, the selection process was done manually, there were often obstacles in the process of calculating data, assessing, and storing data for each TNI personnel. The process of calculating numbers and data takes quite a long time for the members of the assessment team, so that it has an impact on the selection process that is less than optimal and can affect decision making that must be accurate and fast. The solution to overcome this problem is to create an SPK using the web-based WASPAS method. The purpose of this study is as a recommendation to assist the leadership in selecting the Candidate for the Commander of the Military District Command (Kodim) 0201/BS Medan, quickly even though the data processed is quite large. The calculation results obtained the top 5 alternatives, namely Bina Satria (A7), Azwar (A10), Soni Putrawan Ginting (A3), Agus Miadi (A4), Nirmawan (A2). The ranking after being sorted from the highest Qi value is 0.818261515 under the name of Bina Satria and the lowest Qi value is 0.690876555 under the name of Sabur Utomo
Mengoptimalkan Keamanan Jaringan Komputer Menggunakan Snort dan Telegram Bot yang Terintegrasi dengan Mikrotik
Authors: Sudiatmika I Putu Gede Abdi , Ariwanta I Putu Yesha Agus , Melati I Gusti Ayu Sri
Published: January 2023

The implementation of IDS (Intrusion Detection System) snort and telegram bot that can be integrated with a microtic router on the Uppala Villa Nusa Dua computer network is used to detect attack activities and suspicious activity on the Uppala Villa Nusa Dua computer network and to provide notification in real-time logs of suspicious activity on computer network. The research method used is the SPDLC (Security Policy Development Life Cycle) method which has six stages: Identification, Analysis, Design, Implementation, Testing and Evaluation. The software used on the server computer is Snort, WinPcap, Xampp and BASE (Basic Analysis and Security Engine) while for testing a computer network security system using Nmap, Loic and Brutus tools. The results obtained by the implementation of the IDS (Intrusion Detection System) Snort and telegram bot have been successfully implemented and can be integrated with the microtic router. Based on testing conducted after the implementation of the new system, it was found that 95% of the use of snort and telegram bot can optimize the computer network security system at Uppala Villa Nusa Dua.
Question Answering System at the Kingdom of Sumedang Larang with Naïve Bayes Method
Authors: Saldhi Richo Fedhia , Baizal Z.K.A. , Dharayani Ramanti
Published: January 2023

The Sumedang Larang Kingdom is one of the kingdoms in Indonesia which was founded by Prabu Tajimalela in 721 AD. The Sumedang Larang Kingdom is known as the national history of Indonesia. Still, most of the current generation does not know the history of the Sumedang Larang Kingdom, especially the younger generation. Therefore, we developed a question-and-answer system to seek information about the Sumedang Larang Kingdom. With the development of information technology, research on question answering systems is applied to research on Biomedical Questions to produce correct answers. Our system will help literacy about the Sumedang Larang Kingdom for the younger generation, especially students, and increase Indonesian cultural assets. The QA system aims to generate and provide precise short answers to user questions by automatically using information extraction and natural language processing methods. To collect and create questions, we use the concept of ontology. In addition, we use the Natural Language Naïve Bayes method to answer user questions. We built a QA system that can help students find information about the history of the Sumedang Larang Kingdom. Based on the accuracy of the results of testing the method we propose. In our evaluation, we involve the Decision Tree method as the base model. We note that the accuracy of the Naïve Bayes method is higher than that of the Decision Tree. The accuracy result of Naïve Bayes at the ratio of 8:2 and 7:3 is 67%, while the Decision Tree is only 56%.
Self Organizing Maps (Kohonen) untuk Cluster Bidang Karya Ilmiah (Skripsi) Mahasiswa Berdasarkan Nilai-Nilai Matakuliah Pendukung Machine Learning
Authors: Sunandar Hery , Hasan Yasir
Published: January 2023

The time for the preparation of scientific papers is considered too fast and not suitable for students due to several things in the scope of its preparation. One of the reasons is that the student is unable to complete and the supporting aspects of the field of scientific work being done, many students whose topics of scientific work are in machine learning or the like, but these students are unable to complete their scientific work because they do not understand the theoretical supporting knowledge of the machine learning field. So that it can make the student depressed or even harder to repeat his scientific work the next semester. The scope of machine learning courses are statistics and probability, matrix and linear algebra, algorithms and programming, and data structures. This research was conducted to overcome the problems faced by students, namely knowing the suitability group for the field of student scientific work they will be working on. So that in its preparation students can be responsible in their trial and are of higher quality. The clustering test with the self organizing maps (SOM) algorithm is more stable because the input according to the data owned is not random, only the weighting is done randomly but based on the uniform low (mins) and high (max) limit values. The desired number of clusters is two namely cluster 0 is able to do scientific work based on machine learning and cluster 1 vice versa. The SOM process for 40 student data with a target of two clusters and the results are cluster 0 = 14 students, cluster 1 = 26 students. The result is obtained by increasing the radius = 1, which previously this achievement was not successful if radius = 0.
Implementation of Dimensionality Reduction with SVD to Improve Rating Prediction in Recommender System
Authors: Mu'afa M. Naufal , Baizal Z.K.A.
Published: January 2023

Recommender system is widely implemented in various fields. Collaborative Filtering is one of the most used recommender system paradigms because it is easy to use. K-means clustering algorithm is widely use in Collaborative Filtering. This algorithm can predict the item rating that will be given by a user. Rating can be predicted by calculating the average rating of the item. The clustering performance of this algorithm is low because this algorithm selects initial centroid randomly. This causes high errors in the item rating prediction. To obtain lower error, we propose dimensionality reduction with Singular Value Decomposition (SVD). SVD is able to factorize the clustering result data and reduce dimensionality of the data. Dimensionality reduction with SVD can be carried out by removing non-dominant characteristics of the data. This study uses the result of factorization to calculate the similarity between clusters. The value of similarity between clusters is used to predict the rating of an item that will be given by a cluster. The experimental results show that the combined method of K-means and SVD can produces RMSE up to 8.936% lower than the K-means method.
Analisis Efisiensi Inverter pada Grid-Connected 50 KWp Unpam Viktor
Authors: Nurtiyanto Woro Agus , Rosyani Perani , Solihin Lili , Prayogo Wiji
Published: January 2023

The efficiency of grid-tied inverters in converting electrical energy sourced from solar power plants. The purpose of this study is to find out how efficient the Grid-tied inverter is based on the results of field tests, and it is useful as a reference to determine the performance of an inverter connected to the utility grid. Quantitative research methods with direct measurement techniques use the Seaward PV meter measuring instrument and the IsolarCloud monitoring application and control panel to determine the output power absorbed by the load with the research location in the inverter room on the 7th floor of the Pamulang Viktor University campus. The results show that the highest efficiency is achieved with a value of 98.4% where it can be said that the inverter can convert almost all of the energy produced by solar cells, with an average short circuit current (Isc) 16% greater than the maximum current (Imp) and open circuit voltage (Voc) is 21% greater than the maximum power voltage. The results of the analysis also show that the increase in current has no significant effect on the efficiency of the inverter.
Radicalism Speech Detection in Indonesia on Twitter Using Backpropagation Neural Network Method
Authors: Abiyyu Musa Muhammad Rajih , Sibaroni Yuliant
Published: January 2023

In this modern era, many people use social media easily and freely. One of the social media used is Twitter. The reason people use Twitter is that they can express their opinion freely. However, this freedom does not always have a positive impact on other Twitter users. One of the negative impacts for users is that they can spread radical content. Therefore, this research aims to detect whether a tweet contains radical elements or not using the backpropagation neural network method. The process is carried out by taking data on Twitter, after which the preprocessing process is carried out. Then the data is processed using imbalanced handling, where the data is divided into oversampling and undersampling data. After the data is divided, the next process is to do stopword and then look for accuracy by comparing different epoch values, namely 100, 150, 200, and 250. The best epoch value obtained is 200, with a final accuracy result of 86%.