bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang Bangun Aplikasi Midesk Berbasis Website Menggunakan Metode User Centered Design
Authors: Adanson Yehezkiel Nicholas , Fitriana Gita Fadila
Published: October 2022

Assurance is a non-bank financial institution that carries out an agreement between the insurer and the insured to provide protection or protection suffered by the insured for financial losses arising from unexpected and uncertain events. Insurance consumers come from various circles, insurance has an agent who plays a role in marketing insurance products owned by the company. The problem with insurance users is that they often have difficulty reporting problems. Reporting problems at the Manulife insurance company still cannot help optimally, as evidenced by the use of Notepad and Microsoft Excel. Based on these problems, this research creates an application called MiDesk to help the problems faced by consumers. This application uses the user-centered UCD method so that all these processes produce products that meet user needs. The result achieved using the UCD method is a Web-based Helpdesk application. The result of this research is a web-based MiDesk application that can be used by the Manulife Helpdesk IT agent team.
Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode SAW dan WP Dalam Penilaian Kinerja Tenaga Kontrak
Authors: Yusuf Yusril , Bachtiar Lukman
Published: October 2022

Employees at the Regional Secretariat office of East Kotawaringin Regency are divided into 2, namely Permanent Employees (Civil Employees) and Contract Employees (Contract Workers). Contract workers are employees who have non-permanent employment status, so it is necessary to evaluate the quality of their performance to determine the sustainability of the contract extension. There are 6 assessment criteria that are used as a reference for assessing the performance of contract workers, namely Individual Performance Targets, Service Orientation, Integrity, Commitment, Discipline, and Cooperation. The performance appraisal of contract workers at SETDA Kotim has been computerized, but there is still no method applied to the performance appraisal of contract workers, causing the performance appraisal of contract workers to be unstructured. From these problems, a decision support system is needed to be able to assist the process of assessing the performance of contract workers. The researcher conducted a comparative analysis between the SAW method and the WP method, which is expected to determine the right method to be applied in the performance appraisal of contract workers, and can assist the personnel department in processing the performance appraisal of contract workers. Based on the final calculation results, the SAW method and the WP method can be applied in assessing the performance of contract workers and produce the same ranking order, namely the alternative contract worker named A2 = Akmad Rosidi as the best alternative, followed by the other best alternatives A5, A1, A3, and A4. From the comparison results using the MSE (Mean Squared Error) method, the Weighted Product (WP) method produces a higher deviation value than the Simple Addative Weighting (SAW) method, with a comparison of the deviation values, namely the WP method = 228679.4811, while the SAW method = 227926, 7694. So, the Weighted Product (WP) method can be recommended in assessing the performance of contract workers at the Regional Secretariat of East Kotawaringin Regency.
Komparasi Metode Weighted Product (WP) Dan Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Dalam Menentukan Pemberian Beasiswa
Authors: Pratama Angga Yogi , Yunita Selviana
Published: October 2022

Technology is currently developing quite widely, information technology is not only technology that functions to work and store data, but also information technology to send or disseminate data. in the selection of scholarships at SDN 4 Mentawa Baru Hulu Sampit in determining the PIP scholarships still using the manual method so that it can cause inefficiencies in the management of scholarship data, as well as errors in determining scholarship recipients. Data management is also done manually, this also causes the process of identifying scholarship decisions to be slow. From these problems, we need a scholarship decision support system that can use data management and also determine scholarship decisions. The author builds a scholarship acceptance decision support system by comparing the WP and SAW methods. it is hoped that this method can determine the right method to be applied in determining scholarships, and can assist school principals and school operators in processing scholarship assessments. Based on the final calculation results, the SAW method and the WP method can produce different scholarship ratings. Based on the WP = Nanang Sujana method as the best alternative and followed by other best alternatives A3, A4, A1, and A2, then the SAW method was obtained by Radhiyatul Maulida as the best alternative and followed by other alternatives A2, A3, A4, and A5. From the comparison results with the MSE (Mean Squared Error) method, the Weighted Product (WP) method produces a higher deviation value than the Simple Addative Weighting (SAW), with a comparison of the deviation value, namely the WP method = 4363,47509 while the SAW method is obtained = 4259 , 71350. Therefore, the Weighted Product (WP) method can be recommended in making scholarship selection decisions at SDN 4 Mentawa Baru Hulu Sampit.
Analisis Sentimen Produk Kecantikan Jenis Serum Menggunakan Algoritma Naïve Bayes Classifier
Authors: Hamka Muhammad , Alfatari Naila , Ratna Sari Dhani
Published: October 2022

The increased consumption of beauty products as a lifestyle has increased public opinion on the beauty products used. Generally, reviews are given through posts on social media. This study discusses the classification of sentiment analysis on the use of serum beauty products on Twitter using the Naïve Bayes Multinomial algorithm. Sentiment analysis of serum beauty products is carried out to provide information and preferences to the public regarding the quality of a product. The results of the information and preferences become a reference for consideration in choosing the appropriate serum beauty product. The data used in this study were 27,587 tweets using three keywords, namely "serum," "face serum", and "beauty serum". Tweet data is divided into training data and test data with the number of training data as much as 22,070 tweets and test data as much as 5,518 tweets. The data is categorized using the lexicon senticnet 7 dictionary based on polarity values. The results of the analysis of positive sentiment are 35%, negative sentiment is 63.8%, and neutral sentiment is 1.2%. The classification results using Naïve Bayes Multinomial obtain the highest accuracy value of 80%. The Confusion Matrix results get the highest precision value of 88%, the highest recall of 81%, and the highest f1-Score of 86%.
Sistem Pendeteksi Keamanan Ruangan “Smart Security” Dengan Metode Fuzzy Logic Menggunakan Sensor PIR Berbasis Internet of Things (IoT)
Authors: Aldisa Rima Tamara , Alfarisi Sechan
Published: October 2022

The system is an attempt to assist in detection using sensors, an effort made for a room or house if people come or enter. A tool is designed that can be easy, affordable and can be used to prevent the danger of unknown people from entering the room or even into our homes. The author designed a "Smart Security" Room Security Detection System Using the Fuzzy Logic Method Using Internet of Things (IoT)-Based PIR Sensors. sending messages if someone enters the room or house so that the owner knows if someone is unknown. The author wants to design and make this tool that can be very helpful for use inside or at home in order to minimize the danger of people who cannot be recognized entering, room security detectors here with a distance of 1 cm to 2 meters the sensor can still be detected, if it exceeds 2 meter then the sensor will not read if anyone comes.
Implementasi Metode Perbandingan Eksponensial (MPE) Pada Sistem Pendukung Keputusuan Pemilihan Internet Protocol Camera
Authors: Riyanto Umbar , Handayani Nurdiana , Shalahudin Mohammad Imam
Published: October 2022

The development of video surveillance has given rise to various types of surveillance cameras, one of which is the Internet Protocol Camera (IP Camera). The number of IP Camera brands in the market, makes people who want to buy IP Cameras have to find their own information about the specifications and capabilities of the IP Camera to be purchased. It takes time and effort to choose an IP Camera, because you have to learn one by one which IP Camera to buy. This study aims to build a decision support system for choosing an IP Camera with a website-based Exponential Comparison Method (MPE) to make it easier to determine the right IP Camera. MPE can sort the priority of decision alternatives on existing criteria and is able to distinguish the value of each alternative in contrast. Based on the case study, the best alternative is Xiaomi Mi 360 with a value of 386, followed by Yi Home Camera 3 getting a value of 369, Ezviz C6N getting a value of 350, Imilab EC4 getting a value of 343 and Cleverdog Egg Cam getting a value of 110. The results of the MPE calculation generated by the system shows the same value as the manual calculation, then the MPE calculation on the system is declared valid. In addition, the test results with black-box testing show that the system can run well.
Analisis Sentimen Terhadap Implementasi Program Merdeka Belajar Kampus Merdeka Menggunakan Naïve Bayes, K-Nearest Neighboars Dan Decision Tree
Authors: Rozaq Abdul , Yunitasari Yessi , Sussolaikah Kelik , Sari Eka Resty Novieta , Syahputra Restyono Ilham
Published: October 2022

The development of technology are getting faster must be accompanied by the ability to adapt to changes from manual to digital, in the field of education. The Industrial internships, independent projects, student exchanges, community service projects, humanitarian initiatives, and other programs are part of the Merdeka Belajar - Kampus Merdeka program, which was launched by the Ministry of Education and Culture. The various of Merdeka Belajar -Kampus Merdeka program got a variety of responses from the public, including positive, negative, and neutral remarks posted on social media. The existence of these comments is able to create a growing sentiment among the general public and academics. Based on these problems, the researchers used twitter comments as a data source to conduct a sentiment analysis on the implementation of their Merdeka Belajar - Kampus Merdeka program. The data from Twitter will be categorized into positive, negative, and neutral classes using the Naïve Bayes method, K-Nearest Neighboars, and Decision Tree. There was a total of 475 data points divided into two groups: training data and testing data. The training data accounts for 80% of the entire data, while the remaining 20% is used for testing, with an accuracy of 99.22% for Naïve Bayes, 96.90% for K-Nearest Neighboars, and 37.21% for Decision.
Penerapan Rapid Application Development (RAD) Dalam Pengembangan Aplikasi Penjualan Ikan Cupang Hias Berbasis Web
Authors: Fauzi Septian Muhammad , Wahyuddin Mohammad Iwan
Published: October 2022

Betta.dja is a small business that sells ornamental betta fish located in Perum. Depok Jaya Agung, Jl. Apple 8, Ex. Rangapan Jaya, Depok City, in this transaction, usually Betta.Dja does COD (Cash On Delivery) for customers who want to buy fish on social media, or come directly to the store, because they do not have a sales website to provide information to customers. At this time Betta.dja recapitulates the sale of ornamental betta fish using only Microsoft Office. Because it is very inefficient in managing data. If any processed data is lost or damaged, it can result in inaccurate data. The application for selling ornamental betta fish uses a web-based RAD (Rapid Application Development) method. In this study, the expected result is an ornamental betta fish website by providing fast and accurate information.
Analysis and Design of a Route Recommendation System and Bicycle Rental Fees at Tourist Destinations with Genetic Algorithms
Authors: Gimnastian Danu Fawwaz , Yasirandi Rahmat , Oktaria Dita
Published: October 2022

The tourism sector is one of the country's most significant sources of income, especially in Indonesia. This is inseparable from many visitors or foreign tourists who come to Indonesia. Bandung is a tourist destination that is famous for its natural beauty and traditional culture, one example is in Desa Alamendah which has several tourist destinations, namely agro-tourism, nature tourism, and cultural tourism. However, access that can be passed from every tourist spot in Desa Alamendah can only be given on foot or by bicycle. Responding to this matter, bicycle facilities as a means of rotation are needed to access tourist attractions in Desa Alamendah. Based on these problems, this study aims to create a recommendation system for tourist attractions and bicycle rentals using an application in Desa Alamendah, Bandung. Using the Genetic Algorithm, an algorithm that can solve multi-objective problems can be applied to a tourist spot recommendation system in Desa Alamendah. In this system, the Genetic Algorithm is also used to determine fares based on the total distance traveled, so that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms, so that bicycle rentals are more efficient. This is study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. So that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. Based on the results of tests that have been carried out in the process of forming tourist attractions recommendations with a Genetic Algorithm that using mutation probability 1.0 and Crossover Probability 0.6, can produce a Mobile Application with a Genetic Algorithm as a tourist spot recommendation system in Desa Alamendah. In addition, it also can provide recommendations, namely displaying tourist points, route using Google Maps. The rental fee is based on the total distance traveled.
Sistem Pendukung Keputusan Penilaian Kinerja Guru Selama Pembelajaran Daring menggunakan Metode Vikor
Authors: Lumbangaol Sedihati Kayan , Nababan Erna Budhiarti , Lydia Maya Silvi
Published: October 2022

Teacher is a profession that has important role for the progress of education literacy, primarily in this current digitalization era that implements the online learning system. Therefore, the assesment of teacher’s performance during online learning is needed to find the advantages and disadvantages of each teacher, with an aim to get an evaluation that can be utilized to fix or improve the teacher’s performance. This study proposes a decision support system that applies the Vikor method as a solution to get the result of teacher’s performance assessment during online learning and make it easier for the decision makers. By using 4 research criteria and 5 alternatives, this research shows that A5 on behalf of Kayan Marbun with a value of 0.5025 is chosen as the teacher with the best performance.
Pengaruh Metode Pengukuran Jarak pada Algoritma k-NN untuk Klasifikasi Kebakaran Hutan dan Lahan
Authors: Karo Karo Ichwanul Muslim , Khosuri Ananda , Septory Juan Steiven Imanuel , Supandi Dimas Pebrian
Published: October 2022

Forest and land fires are a serious and recurring problem in Indonesia. The high intensity of forest fires is caused by the distribution of hotspots in fire-prone areas. One of the efforts to prevent and minimize the risk of forest fires is to identify the types of hotspots using a classification approach. One of the most popular classification algorithms is k Nearest Neighbor (k-NN). The algorithm uses a distance calculation approach in classifying objects. The purpose of this study is to classify the types of hotspots scattered in Indonesia using the k-NN algorithm and to analyze the effect of the distance calculation method on the k-NN algorithm. The types of distance measurement methods analyzed include Euclidean, Canberra, Chebyshev, and Manhattan. The dataset used is the distribution of hotspots in Indonesia obtained from Global Forest Watch (GFW). The study designed a dataset with two conditions, through the pre-processing stage and not. In general, the model accuracy of the k-NN combination with various distance measurement methods is above 90%. The pre-processing stage can increase the model's performance 1-8 times. The combination of k-NN with Manhattan is the best choice to identify the types of hotspots with an accuracy of 92.6%.
Penerapan Metode SMART untuk Rekomendasi Pencari Kerja Terbaik
Authors: Sukamto Sukamto , Andriyani Yanti , Oktaviani Chairia
Published: October 2022

PT. PLN (Persero) in serving the community requires quality human resources. The quality of employees in supporting the advancement of a company is very important, so many companies are trying to have quality employees. The way that can be done is by recruiting prospective job seekers in accordance with the criteria desired by the company, it's just that so far many companies have problems in the filing and sorting process because it is done manually, so the results do not match the criteria for the desired job seekers So we need a decision support system with the Simple Multi Attribute Rating Technique method to provide recommendations for the best job seekers with the criteria for Endurance tests, academic tests, psychological tests, laboratory tests and interview tests. The final result of this SPK is that it can provide recommendations for the best job seekers in accordance with the specified criteria.
Forecasting Stok Sparepart Sepeda Motor Menggunakan Metode Double Exponential Smoothing(DES)
Authors: Surianingsih Gusrina , Syafwan Havid , Sapta Andy
Published: October 2022

PT. Anugerah Karya Abiwara II is a company engaged in the service sector in the workshop that serves its customers. The problem that occurs is the difficulty of determining the goods and the number of goods that must be provided every month in order to continue to meet customer needs. Stock or inventory is a number of goods provided by the company to meet consumer demand. Without adequate inventory, a business will not run smoothly. Therefore, to be more efficient, the authors designed a forecasting system with the Double Exponential Smoothing method using Visual Basic 2010 programming and MySQL database. The data predicted for the past 1 year are April 2021-March 2022 and the data will be forecasted in April. By calculating the Double Exponential Smoothing, the MAD value is 46.65, MSE 3975.26, RMSE 63.05, and the MAPE value is 21.48%, which means that the forecasting accuracy is almost 80%. So the algorithm with the DES method can be applied to the spare part stock forecasting process making it easier to determine the spare part stock in the next period.
Rancang Bangun Sistem Monitoring Pengolahan Limbah Cair Tahu Di Kabupaten Purbalingga Berbasis Internet of Things
Authors: Arafat Garichwan Fathurrahman , Wijayanto Aditya , Prasetyo Novian Adi
Published: October 2022

In the production of tofu, it usually produces liquid waste which can cause environmental pollution when no processing is carried out which will have an impact on local residents. Disposal of liquid waste from the production of tofu without going through processing will result in air pollution in the form of a pungent odor and too low oxygen and pollution in the water which will become dirty. Liquid waste generated from the production of tofu contains organic substances that cause microbial growth in the water which results in decreased oxygen levels in the water and the water becomes cloudy. Based on these problems, a monitoring system for turbidity and acid-base levels of the tofu industrial wastewater in Purbalingga Regency based on the Internet of Things was designed by utilizing the NodeMCU ESP8266 which is connected to a Turbidity sensor, pH sensor, DS18B20 sensor, LCD 16x2 I2C, relay, and a water pump that will connected to the Telegram Bot for monitoring and control. Telegram bots can work when Telegram and the network are turned on and connected to the internet. From the results of testing the system produces tools that are in accordance with what the author expects. All sensors and relays can work well on the waste onjek, the water pump also works well so that it can carry out waste disposal when the turbidity level has reached less than 35 which is carried out after the decomposition process is complete. The system can also send notifications to the Telegram Bot when the pump is on and when commands are requested via the gadget, resulting in the conclusion that the system works in real time and must be connected to the internet network.
Pengembangan Idle Game “Havok Runner” Berbasis Android Menggunakan Metode Agile Game Development
Authors: Pohan Achmad Baroqah , Alfarobi Ibnu , Hadi Sofian Wira
Published: October 2022

Video games are one of the industries that are growing very rapidly every year. And in a video game industry, there are many types/genres of games that have been widely circulated in the community. One of them is a type of game where players interact a little while the game is running, namely idle games. Even though gaming is one of the industries that is growing very rapidly, based on the report of Diana Paskarina (COO of game loka nutmeg) the contribution of the creative game industry is still very small to state revenue. However, regardless of the existing constraints, there are opportunities/opportunities that can be utilized to improve the country's economy through idle games. This refers to the results of the Sensor Tower survey which shows that the income of the idle game genre in Q3 2016 to Q2 2018 has increased very rapidly. Therefore, researchers try to make a positive contribution by developing game applications with the idle game genre using the Agile Game Development method.
Analisis Kinerja SMARTER Pada Sistem Pendukung Keputusan Pemilihan Tukang Las Terbaik Untuk Menerima Penghargaan
Authors: Marbun Nasib , Zarlis Muhammad , Sembiring Rahmad Widya
Published: October 2022

One of the policies that can be carried out by welding workshop entrepreneurs to maintain the best welders is by giving awards at the beginning of each month to the chosen alternative from the results of decision making by the leadership. The selection of the best welder who is entitled to receive the award can be done with several assessment criteria, including communication skills, knowledge of welding, welding techniques, and teamwork. In order for the decision making to produce good results, of course, a tool is needed in the form of a decision support system. In this study, the SMARTER method was applied in completing the selection of the best welder to receive the award. The results of the analysis of SMARTER's performance in solving the problem of selecting the best welder based on the relative standard deviation, it is known that the accuracy rate is 24%.
Penerapan Teknologi Stack MERN pada Aplikasi Service Manajemen Bengkel Berbasis Web
Authors: Maulana Moch. Akbar , Haryoko Haryoko , Santoso Banu , Lukman Lukman
Published: October 2022

Xyz Motor is a repair shop engaged in the automotive motorcycle sector by providing services in the form of motorcycle service and spare parts sales. All business processes such as recording of spare parts, sales and purchase transactions of spare parts, as well as television/monthly recapitulation are carried out manually so that business processes take a long time and are inefficient. To overcome the problems experienced by the Xyz Motor workshop, the researchers created a web-based management service application to manage all processes that occur so that it is easier for the workshop to see the entire business process and the owner can improve performance and productivity in recapitulation.The Management Service application was developed using the MERN Stack technology, namely MongoDB for the database, React Js for the frontend library and Node Js with the Express Js library to create the backend API. The application developed includes features for making spare parts, recording daily and monthly reports and creating customer invoices. This Management Service Application Development has succeeded in supporting responsive web design so that workshop owners can access the web from a laptop or smartphone
Sistem Pendukung Keputusan Dalam Pemilihan Peserta Beasiswa Magister Menggunakan Metode SAW
Authors: Mulyani Neni , Hutahaean Jeperson , Azhar Zulfi , Kartika Aulia
Published: October 2022

A scholarship is a gift given by the government or a university to help reduce the cost of education where the higher the level of education taken, the more money that must be provided to fulfill, the opportunity to be able to continue master's education is the dream of many young scholars. Every opportunity that is open to get a master's scholarship makes many prospective scholarship recipients compete to register themselves as participants, but not all participants who apply to receive scholarships get the same opportunity because the quota is limited. It is necessary to make a selection in determining the award of scholarships to the right people and avoid fraud in the selection process, this can be solved by using the application of computer science, namely a decision support system assisted by applying the SAW method in obtaining more systematic results based on previous research. the results obtained in this study
Optimasi Naive Bayes dan Cosine Similarity Menggunakan Particle Swarm Optimization Pada Klasifikasi Hoax Berbahasa Indonesia
Authors: Nugraha Arfan Yoga Aji , Abdulloh Ferian Fauzi
Published: October 2022

The widespread circulation of hoax news in the information technology era is increasingly troubling, therefore in this era an algorithm to classify hoax news is necessary, in this study researchers focused on optimizing the accuracy of hoax news classification in text documents. The algorithm that will be used is Naive Bayes and cosine Similarity which previously has been applied with particle swarm optimization algorithm. In this study, it was concluded that after feature selection using PSO in the Naive Bayes algorithm the accuracy obtained increased from 0.91 to 0.93 while in the cosine similarity algorithm the accuracy increased from 0.62 to 0.73 after feature selection using PSO
Sistem Pakar Deteksi Penyakit Bawang Merah dengan Metode Case Based Reasoning
Authors: Nur Yohani Setiya Rafika , Burhanuddin Auliya , Aldo Dasril , Lelisa Army Widya
Published: October 2022

Shallots are tubers commonly consumed by Indonesians. Shallots are one of the three members of the Allium genus that are much-loved and have high economic value. In the process of cultivating shallots susceptible to pests and diseases. Onion caterpillars, leaf flies, earthworms, purpura, fusarium wilt, onion mosaic and leaf spot are some of the pests and diseases that often attack shallot plants. Farmers will immediately give pesticides or methods that are sometimes not suitable for pests and diseases that attack. As a result, maintenance is not optimal and new pests or diseases often arise. This study aims to help farmers find early symptoms of shallot pests and diseases, so that pest and disease control is more optimal and on target. Processed as many as 10 attack data using Case Based Reasoning method. This method will process data in the form of symptoms seen in shallots, so that they can detect types of pests and diseases of shallots and their handling steps with 100% accuracy. Therefore, this method is relevant for the identification of shallot disease
Sistem Penilaian Inovasi Karyawan Digital Amoeba Menggunakan Desain Arsitektur Microservice Pada Aplikasi Mobile
Authors: Pramakrisna Fitran Dwi , Adhinata Faisal Dharma , Tanjung Nia Annisa Ferani
Published: October 2022

Digital Amoeba employees want an application system that can be integrated directly into the Ideabox application to be assessed the innoavtions directly. Therefore, innovations do not need to be assessed using third parties such as Google Sheets SurveyMonkey. Therefore, an application system called Scoring was created. This application system is designed using a microservice architecture design, where each service has its own database. The services used in the Scoring application system are User Service, Ideas Service, Event Service, and Scoring Service. The application system is built using the PHP programming language and the CodeIgniter version 4 framework. This system is implemented both on web and mobile platform
Sistem Pendukung Keputusan Penerimaan Peserta Didik Baru dan Pemilihan Jurusan dengan Metode AHP dan SAW
Authors: Lestari Yuniarti , Sunardi Sunardi , Fadlil Abdul
Published: October 2022

The activity of admitting new students (PPDB) is an administrative process that is repeated every year. This activity is the starting point for the process of finding quality resources according to the criteria of each school. Selection is done manually, such as using spreadsheets or number processing, causing problems, including the length of the selection process. This study develops a PPDB selection system that facilitates the process of accepting new students. The development of this research uses Javascript Node JS, React JS framework, MySQL database from Xampp, and visual studio code editor. The system was built using two methods, namely Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW). AHP is used to select prospective students, while SAW is used as a way to map the majors of each prospective student. The input criteria are National Achievement Test (NUN), School Achievement Test (NUS), Academic Potential Test (TPA), entry path, and major interest. Research has succeeded in building an application that produces rankings and majors that are 100% the same as the calculation simulations carried out manually. The test was carried out with a black box test with 100% valid results. The results of the selection were then tested using the alpha test and beta test. Respondents gave responses strongly agree 83% and agree 17%, while the responses do not know/undecided, disagree, and strongly disagree each 0%.
Sentiment Analysis of Hate Speech on Twitter Public Figures with AdaBoost and XGBoost Methods
Authors: Suhendra Daffa Ulayya , Jondri Jondri , Indwiarti Indwiarti
Published: October 2022

Public figures are often scrutinized by social media users, either because of what they say or even because of their role in a television series. Generally, public figures upload something on their social media accounts to help shape their image. But not everyone who sees it is happy. Some even dislike the upload. This study aims to determine public sentiment towards public figure Anya Geraldine conveyed on Twitter in Indonesian. The classification process in this study uses the Adaptive Boosting (AdaBoost) and Extreme Gradient Boosting (XGBoost) classification methods with text preprocessing using cleaning, case folding, tokenization, and filtering. The data used are tweets in Indonesian with the keyword ”@anyaselalubenar”, with a total dataset of 7,475 tweets divided into 6,887 positive and 588 negative tweets. From the label results using oversampling to avoid excessive overfitting problems. The feature used is TF-IDF weighting. Four experimental scenarios were carried out to validate the effectiveness of the model used: first model performance without oversampling, second model performance with oversampling, third model performance with undersampling, and fourth model performance with Hyperparameter tune. The experimental results show that XGBoost+SMOTE+Hyperparameter achieved 95% compared to AdaBoost+SMOTE+Hyperparameter of 87%. The application of SMOTE and Hyperparameter tune is proven to overcome the problem of data imbalance and get better classification results.
Aplikasi Prakiraan Perkembangan Covid-19 Di Indonesia Menggunakan Metode Single Exponential Smoothing Berbasis Web
Authors: Waslin Tsinmi Tri Azkiya , Sulaiman Oris Krianto , Haramaini Tasliyah
Published: October 2022

ARSCoV2 (Severe Acute Respiratory Syndrome Coronavirus 2) is a virus cause of COVID-19 that has spread to many other countries. A variety of efforts is carried out mostly countries in the world to face this disease. The result of increased case of COVID-19 the economy is inspiring and providing pressure on the future economic growth including Indonesia’s economic growth. UN-defined COVID-19 pandemi, impact on sector transportation, tourism, trading, health and others. The purpose of this research is to design and create COVID-19 case development forecast in Indonesia by implementing REST API services and using the single exponential smoothing method as a mathematical method to calculate the development forecast COVID-19 cases in Indonesia are confirmed with the date to help minimize losses materials and immaterials, for the readiness of the Indonesian government in conducting rapid precautions and appropriately to help the general public to obtain COVID-19 and forecast information the development. Research results on COVID-19 data in Indonesia in March 2020 until April 2022 obtaining the value of the MAPE error model of 7.97% where 7.97% ≤ 10% so included in the level category high accuracy with forecast results in the next month, May 2022 is 5,327,773 cases.
Alat Pendeteksi Kebakaran Dini Berbasis Internet Of Things (IoT) Menggunakan NodeMCU Dan Telegram
Authors: Kristama Yonatan Surya , Widiasari Indrastanti Ratna
Published: October 2022

One of the unpredictable disasters is fire. Fires often occur in densely populated areas and are triggered by a variety of factors, for example an electric short circuit. Usually a fire disaster is only realized when the fire has grown and has spread to all places. Based on these problems, a solution is needed to prevent the occurrence of fire disasters, namely by designing an Early Fire Detection Tool Based On Internet of Things (IoT) Using NodeMCU And Telegram. The microcontroller used in this study is NodeMCU which is equipped with WiFi ESP8266. This tool uses two fire sensors, namely the LM393 type fire sensor and the KY-026 type fire sensor, besides that this tool also uses buzzer which is used to provide warnings in the form of sound and Light Emitting Diode which are used as a sign that the microcontroller is connected to Telegram. This study produces a device that can send notifications in the form of messages to the user's telegram if the two fire sensors detect the presence of fire in which the two fire sensors can detect the source of the fire up to a distance of 50 cm. This tool can make it easier for users to monitor the condition of the room in real - time by sending messages through the telegram application and this tool will reply to the message automatically according to the conditions of the two fire sensors.
Проблемы восстановления популяций атлантического лосося на европейском Севере России (обзор)
Authors: Воробьев Валерий Васильевич
Published: October 2022

Во многих развитых странах вследствие хозяйственной деятельности и промышленного загрязнения прибрежных территорий, интенсивного промысла и браконьерства, негативных последствий многолетних лесосплавов наблюдается депрессия численности и снижение внутривидового разнообразия, прежде всего из-за утраты популяций проходной морской формы, что послужило основанием ещё в 1970-е годы говорить об атлантическом лососе как об исчезающем виде. Рассмотрены проблемы восстановления популяций атлантического лосося на европейском Севере России. Основные причины снижения численности популяций лосося — антропогенное загрязнение морских акваторий и нерестовых рек, их чрезмерная зарегулированность, рост искусственно выращиваемых ГМ-лососей в аквахозяйствах, низкая эффективность заводского искусственного воспроизводства сёмги. Предложено разработать и принять ряд федеральных программ по восстановлению популяций лосося в Арктическом регионе России.
Ключевые аспекты формирования системы инфраструктурного обеспечения воспроизводства человеческого капитала аграрной сферы
Authors: Ермоленко Ольга Дмитриевна
Published: October 2022

Исследователи человеческого капитала анализируют его значение для развития хозяйственной деятельности, предлагают меры по стимулированию его роста и оптимизации функционирования. В большинстве исследований вопросы развития сосредоточены на повышении качественных и количественных характеристик носителей самого капитала — трудовых ресурсов, а условия их воспроизводства и факторы, способные их качественно улучшить, комплексно и системно не изучены. Представлены исходные теоретико-методологические положения формирования и функционирования системы инфраструктурного обеспечения воспроизводства человеческого капитала, обоснованы предложения по реализации элементов данной системы в составе региональной политики развития сельских территорий.
Prospects of “mild hybrid” technology for creating a hybridization system of vehicles
Authors: Mykhalevych Mykola , Shuklinov Serhii , Dvadnenko Volodymyr , Yaryta Oleksandr
Published: October 2022

Problem. At the present stage of science and technique development the problem of creation energy efficient vehicles is solving by electric vehicle designing: electromobiles and hybrid vehicles. Despite perspectives of a batteries electric vehicles it could be complied with a “Zero Emissions” criterions only in case if the electricity is generated from renewable sources. In addition electric vehicle may not always provide the desired range on charge. Lithium-ion batteries are now used to power the electric drive, and important problem of that is a significant weight which vehicle have to carry, it is also necessary to balance their elements, which significantly increases the charging time from the external mains. Goal. The goal of the work is to develop the theoretical basis for the creation of a system for the conversion of the "mild hybrid" vehicles in operation. Methodology. Many countries cannot afford to make the rapid transition to renewable electricity and replace the fleet with electric vehicles. Instead, a faster effect can be obtained if you re-equip vehicles that are already in use in hybrids. To successfully fulfill this goal, it is necessary to justify the parameters of the hybridization system of vehicles in order to obtain significant energy efficiency with a favorable payback period. Results. The analysis of hybrid classification and drive architecture allowed to offer new functions for "micro hybrid" and "mild hybrid" technologies. Analysis of power losses on the movement of the vehicle allowed to predict the number and power of electric motors sufficient to perform new functions.  Originality. The structural scheme of the hybridization system of the motor vehicle which provides its conversion into a hybrid is developed. The study is aimed primarily at improving the technology "mild hybrid" in which electric motors of relatively low power, which are not inherent in this technology, proposed a partial implementation of the functions inherent in the technology of "full hybrid". Practical value. The combination of the features of "micro hybrid" and "full hybrid" technologies in "mild hybrid" technology should provide sufficient energy efficiency, ease of installation of system equipment and low cost.
Letter to the Editor
Authors: Moreira-Almeida Alexander , Paz Mosqueiro Bruno Paz , Bhugra Dinesh
Published: October 2022

Correction of previous review
Sokak Ağaçları: Mekan Üretimine ve Kentsel Ekosistem Hizmetlerine Katkıları
Authors: GEDİKLİ Bahar
Published: October 2022

Sürdürülebilir ve iklime duyarlı kent planlama çalışmalarının önemli bir konusu kentsel yeşil altyapıdır. Kentsel yeşil alanların bir sistem/altyapı olarak ele alınması, kentlerde biyoçeşitliliğin sürdürülmesine ve ekosistem hizmetlerinin gerçekleştirilmesine katkı sağlamaktadır. Yeşil altyapıyla ilgili anahtar bir kavram “bağlantılılık” kavramıdır. Yeşil alanlar arasındaki bağlantılar yeşil koridorlarla sağlanmaktadır. Yeşil altyapıyı alansal olarak geliştirmenin zorlayıcı olduğu yapılaşmış kentsel alanlarda sokak ağaçları da bağlantıları sağlamada rol oynamaktadır. Bu çalışma sokak ağaçlarının işlevlerine iki boyutta bakmıştır: Birinci boyut ağacın biçimsel özellikleri ile kentlerin üç boyutlu düzenine verdiği katkıyı vurgularken; ikinci boyut ağacın ekosistem hizmetleri ve sağlıklı yaşam çevrelerinin oluşturulması konusundaki rolünün altını çizmektedir. Birbirini destekleyen bu iki boyut, sokak ağaçlarını hem planlama ve tasarımın, hem de çevre ve ekoloji bilimlerinin konusu yapmaktadır. Hem nitelikli tasarlanmış kentsel alanların, hem de sağlıklı yaşam çevrelerinin oluşması için, kent planlama çalışmalarında sokak ağaçlandırması konusunun gözetilmesi gerekir. Çalışmada dünyadan ve Türkiye’den örneklere yer verilerek bu konu incenlemiştir.
Türkiye’de Toprak ve Konut Rantı: Ruşen Keleş Okumaları Üzerinden Değerlendirme
Authors: GÜLER Mahmut , SOYER Burçak
Published: October 2022

Sanayileşmenin etkisi ile hızla artan kentleşmenin ortaya çıkardığı konut sorunu, konut sağlamak için arsaya olan talebi artırmış, ancak arsanın yetersiz oluşu rant olgusunun ortaya çıkmasına sebebiyet vermiştir. Rant kavramına ilişkin pek çok tanımlama yapılmakla birlikte, bu tanımlardan hareketle rantın ekonomik olduğu kadar politik anlamlar da ifade ettiği görülmektedir. Türkiye’de ekonomi politikalarına yön veren temel unsurun taşınmaz mal sektörüne hâkim olan rant yaratma ve paylaştırma güdüsü olduğunu belirten Ruşen Keleş, rantın başta ekonomi olmak üzere yaşamın her alanına yön verdiğinin altını çizmektedir. Bu çalışma Türkiye’de konut sorununun yürütülen farklı konut politikaları ile çözüme kavuşturulması yönünde çabaların beraberinde getirdiği kentsel toprak rantını ve bu durumun yol açtığı sermaye birikim sürecini Ruşen Keleş’in konuya ilişkin verdiği eserlerde ortaya koyduğu tespitler üzerinden incelemeyi amaçlamaktadır. Çalışma kapsamında sermaye birikiminin ve rantın oluştuğu önemli proje alanlarından biri olarak İstanbul Fikirtepe Kentsel Dönüşüm Bölgesi değerlendirilmiştir.
Uses of Artificial Intelligence in Psychology
Authors: Irshad Seema , Azmi Shabana , Begum Nurjahan
Published: October 2022

Machine learning has a new landscape for humanity in the area of artificial intelligence (AI). Artificial intelligence (AI) approaches have recently been developed to support mental health professionals, primarily psychiatrists, psychologists, and clinicians, with decision-making based on patients' historical data (e.g., clinical history, behavioral data, social media use, etc.). This article reviews developments in artificial intelligence (AI) technologies and their current and potential applications in clinical psychological practice. Issues associated with AI in the context of clinical practice, the potential risk for job loss among mental health professionals, and other ramifications associated with the advancement of AI technology are discussed. The advancement of AI technologies and their application in psychological practice have important implications that can be expected to transform the mental health care field. Psychologists and other mental health care professionals have an essential part to play in the development, evaluation, and ethical use of AI technologies.
Differential expression of OAS2 in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines ALS using published data (3, 4). We found significant differential expression of OAS2, encoding 2'-5'-oligoadenylate synthetase 2, in the induced pluripotent stem cell (iPSC)-derived motor neurons of patients with ALS. OAS2 was also differentially expressed in the skeletal muscle of patients with ALS. OAS2 transcript was present at significantly higher levels in ALS patient motor neurons as compared to control motor neurons. These analyses will begin to define the transcriptional landscape of ALS.
Differential expression of DICER in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines sporadic ALS using published data (3, 4). We found significant differential expression of DICER, encoding dicer 1, ribonuclease III, in induced pluripotent stem cells (iPSC)-derived motor neurons of patients with ALS. DICER was also differentially expressed in fibroblasts isolated from patients with ALS. DICER transcript was present at significantly lower levels in ALS patient fibroblasts as compared to control, non-diseased fibroblasts. These analyses will begin to define the transcriptional landscape of ALS.
The Impact of the Covid-19 Pandemic on the Legal Concept of Visas in Indonesia
Authors: Aji Koesmoyo Ponco , Windia I Wayan P. , Bawono Sri Kuncoro
Published: October 2022

The Covid-19 pandemic that has been going on globally since March 2020 has led to the universal closure of national borders. The exponential spread of the Covid-19 virus has resulted in a new phenomenon in the immigration field: stranded foreigners. To avoid the continued access of these stranded foreigners, Indonesian immigration issued a series of visa regulations. This study aims to analyse the impact of the Covid-19 pandemic on the concept of visa law applicable in Indonesia by existing formal law. This research uses a normative method with a conceptual approach, namely by identifying existing principles or doctrinal views and then generating new ideas. The concepts and theories used in this research are the rules of law concept with an analytical knife in the form of a hierarchy of laws and regulations theory and the theory of sovereignty. The results show that there is a shift in the concept of visa law in Indonesia as a result of the Covid-19 pandemic. In the theoretical study, it is known that this shift in the idea of visa law has ruled out the visa doctrine that has been regulated in Indonesian immigration law. However, the principle of relative sovereignty that respects the principles of international law is the justification for changing the concept of visa law in Indonesia during the Covid-19 pandemic.
ARTIKEL PANCASILA SILA KEDUA (KEMANUSIAAN YANG ADIL DAN BERADAB)
Authors: RAMADHANI AGUNG ARDIANSYAH
Published: October 2022

Artikel ini dimaksudkan untuk memberikan gambaran terhadap bentuk nilai kemanusiaan yang adil dan beradab,sila ini menjelaskan bahwa bangsa Indonesia adalah bangsa yang menghendaki pergaulan antar semua suku bangsa di Indonesia maupun dunia dengan prinsip saling menghormati nilai nilai nasionalisme, Indonesia merupakan bagian dari kemanusiaan universal yang menjunjung tinggi hak asasi manusia berdasarkan nilai nilai keadilan dan keadaban, bangsa Indonesia memperlakukan semua manusia sesuai dengan harkat dan martabatnya sebagai makhluk Tuhan yang maha esa dan memahami bahwa segala semua perbedaan adalah keniscayaan yang tidak boleh menimbulkan pertentangan.