Reviewerly/exHarmony huggingface dataset:
Implementasi Sistem Pakar Diagnosis Autisme Pada Anak Menggunakan Metode Naïve Bayes

Autism is a developmental disorder that affects the normal functioning of the brain, thereby affecting a child's communication and social interaction abilities. This disorder poses a problem for children in communicating and forming relationships with their environment. As the number of individuals with autism increases, public awareness of autism remains very low. Additionally, most psychologists or psychiatrists are located in major cities, limiting access for rural communities. This leads to many parents struggling to obtain information about autism symptoms. The research method used is the naïve Bayes method, it can be drawn from the system is that it will generate the maximum score despite any disturbances in the provided data. The results of this research align with expert knowledge, suggesting that it can be relied upon to accurately diagnose autism based on the symptoms experienced by individuals. The aim of this study is to build an expert system that can provide information and solutions to parents regarding autism disorders based on their knowledge of the symptoms they experience, enabling users to diagnose autism in their children early on without incurring costs.
Klasifikasi Kebutuhan Sparepart Dengan Algoritma K-Nearest Neighbor Untuk Meningkatkan Penjualan Sparepart

Adequate supply of spare parts will be a supporting factor for consumer confidence in the company. The classification method approach can be applied in analyzing data to apply data mining with the classification method for spare parts needs generated by utilizing data testing consisting of 100 record datasets with a ratio of 90% training data (training data) and 10% test data (data testing). . Implementation of the K-Nearest Neighbor algorithm model on test data (data testing) of 100 data objects, obtaining results that show a new insight in the form of classification of low and high level needs based on 2 categories. No is a category of light needs, consisting of 89 data objects, the category Yes is a category of high needs. Performance evaluation and testing using the RapidMiner Sstudio application is able to provide optimal results with the scenarios that are modeled. This algorithm model has an Accuracy value of accuracy: 93.00% +/- 6.40% (micro average: 93.00%).
Analisis Gempa Bumi Di Indonesia Dengan Metode Clustering

Indonesia is known as an archipelagic country because it consists of thousands of islands stretching from Sabang in the west to Merauke in the east. Testing earthquake data using the K-Means algorithm, where the results also show a new insight, namely the grouping of earthquake-prone areas in Indonesia based on 3 clusters. Cluster 1 is a category of areas with a relatively low level of earthquake-prone areas in Indonesia, namely 209 out of 1113 categories of the number of cases based on the area tested, then cluster 2 is a category of areas with a moderate level of earthquake-prone areas in Indonesia, namely 863 out of 1113 the category of the number of cases based on the area tested, and finally cluster 3 is the category of area with a high level of earthquake-prone areas in Indonesia, namely 41 out of 1113 categories of the number of cases based on the area tested. Tests using the earthquake clustering method with the K-Means algorithm can produce clusters that have cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 209 cluster members representing the Low cluster, Cluster_1 has 863 cluster group members representing the Medium cluster, and Cluster_2 has 41 cluster members corresponding to the cluster representation High.
Rancang Bangun Robot Pengantar Obat dan Makanan Pasien Berbasis Internet of Things

The rapid development of technology today, especially in the field of information technology, requires everyone to be able to follow it so as not to be left behind by other developing countries, especially regarding the use of technology. The goal to be achieved from this research is to design a robot that can ease the work of medical personnel, especially in delivering medicine and food to patients so that they no longer need to deliver it manually, just use a robot controlled by an application. The research method used is the waterfall method. Robot testing is done by testing the control distance to find out how far the robot can be controlled. This robot consists of 3 layers and has 4 wheels. The working system of this robot is controlled by 4 buttons namely forward, backward, left and right by the user through a control application. The command is sent to the NodeMcu Esp8266 which is then forwarded to the Motor Driver L298n as the overall voltage of the system is made to work properly.
Kombinasi Algoritma Sequential Search dan Fitur Autocomplete Pada Aplikasi Arsip (E-Arsip) Perpustakaan Berbasis Web

Files have the capability of being a source of data, therefore the existence of archives in an agency plays an important role in broad activities, given the importance of archives, consideration is needed in data management to ensure agency archives are stored properly and are easy to find. Searching for data through the site has been greatly developed along with the support of improved equipment, data search can be done using the search information stored in the program, search algorithms are a collection of software programs created to make it easier for clients to find and track data. Currently in search enter the word or phrase byuser to find data that is still difficult to find. Therefore we need features that can help users in searching. So this research was made and the application used two algorithms that can help in typing words or phrases namelyAutocomplete in order to assist clients in searching for data, and algorithms Sequential Search to make it easier to find client data. The average run time of the Sequential Search algorithm from 250 user data is 0.00496 seconds, and the word input search process with Autocomplete yields results for 100 percent of the 250 corresponding database data.
Perbandingan Metode Dempster Shafer, Case-Based Reasoning dan Certainty Factor dalam Diagnosis Penyakit Craniopharyngioma

Craniopharyngioma is a rare benign brain tumor that originates from embryonic tissue of the pituitary gland. It is a type of brain tumor that develops near the pituitary gland at the base of the skull. Its prevalence is approximately 2-4% of all brain tumor cases. Collaboration among the medical team is crucial in providing optimal perioperative care. In diagnosing craniopharyngioma, an expert system can be utilized. The Expert System aids in identifying problems and providing appropriate solutions. Its existence can expedite the process of problem identification and system repair. Additionally, the Expert System can also help reduce consultation costs with experts, as it can provide solutions comparable to those given by experts. This study aims to compare the results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma. The study will determine the percentage results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma to ascertain which method is most accurate in diagnosing the disease. The percentage results from the application of the DS and CF methods yielded the same result of 99.8%, whereas the CBR method only achieved a diagnosis percentage of 51.4% for craniopharyngioma. Hence, it can be observed that the CBR method yields the lowest percentage diagnosis for craniopharyngioma.
Penggunaan Metode Game Development Life Cycle (GDLC) Untuk Memudahkan Belajar Bahasa Inggris Dalam Media Game

The development of information and communication technology has developed rapidly in various fields such as in the field of education and the field of play. Technology that is often used in all circles is a smartphone, the use of smartphones in addition to work can also be used to play. Ownership of smartphones according to the survey approximately 81.7% are used to send messages, regarding education, especially English learning according to the EF EPI survey (Englisg Profiency Index) Indonesia is in position 80 in Asia and includes low profiency. It can be concluded that there are still many Indonesian people, especially elementary school children, who still do not know about English. Therefore, a solution is made to introduce English with the theme of writing (writing) on game media, in making this educational game using the GDLC (game development life cycle) method. Educational games need development because many of the mechanics in educational games have passive mechanics, therefore in this game added mechanics, namely endless runner. After making the Tiny Man Genius game, tests were carried out on elementary school children in grades 4 and 6 based on the results of the pre-test and post-test conducted, it looks quite good even though in the pre-test session 81.3% were still below 100 with a maximum score of 200, but in the second experiment, the post-test increased, namely 93.8% increased and 87.5% with scores above 100. After conducting the test, the children stated that 68.8% helped in learning English.
Algoritma Naïve Bayes untuk Rekomendasi Seleksi Peserta Paskibraka Berbasis Website

In the series of intensive Paskibraka activies, each individual strives to build strong character. Paskibraka serves as a means to cultivate a sense of love for the homeland. Every year, on the commemoration of the raising ceremony is conducted on August 17th. One important part of the ceremony is the hosting of the red and white flag by Paskibraka member. PASKIBRAKA (Flag Raising Troop) represent the selected new generation of Indonesia through a selection process participated by student from various high school. The PASKIBRAKA selection involves several stages, and to facilitate the selection process, a guideline for activities has been formulated in the Minister of Youth and Sports Regulation (Permenpora) No. 0065 of 2015. The classification appiled utilizes the Naïve Bayes algorithm with the Knowladge Discovery in Databases (KDD) method. The naïve bayes algorithm is a data mining and statistical classification algorithm that applies Bayes’theorem under the assumption of independence between variables. The advantages of the naïve bayes algorithm lie in its scability in handing the number of predictors and data points, its ability to make probability prediction, and its capability to handle both continuous and discrate data. The result of this research have achieved the from of automated classification of the eligibility of Paskibraka participant selection, data mining whether the are aligible or not to become members of Paskibraka in Sukabumi Regency.
Rancang Bangun Sistem Irigasi Tetes dan Monitoring Kualitas Lahan Pertanian Tadah Hujan Berbasis Web

In this study the object studied was rainfed agricultural land, this type of agriculture depends on rainwater so good management is needed in managing the cropping system to produce optimal results. The drip irrigation system can be used when the dry season arrives to support the quality of moisture in the soil and soil quality monitoring is carried out to determine the planting of corn plant seeds. The prototype method is used in designing drip irrigation systems and monitoring the quality of agricultural land. System design using the prototype method is one of the software design techniques used in designing web applications. The application is designed using the PHP programming language and the framework used is CodeIgniter (CI), so the Unified Modeling Language (UML) is designed. Internet of Things uses NodeMCU ESP8266 as a microcontroller that will connect to the web. The results of the sensor test for 30 minutes on soil moisture can be maintained at 40-80% humidity when drip irrigation is running. When the water in the tank runs out and drip irrigation is not running, the soil moisture will decrease by 30%, the soil pH value is at a value of 6-7% and the temperature value is at 21-34 degrees Celsius, the soil quality is suitable for planting corn seeds. The drip irrigation system can be used when the dry season arrives to keep the soil moist and this land monitoring is useful for farmers in determining good land conditions for planting corn seeds. The system design can be further developed by adding sensors to the water control in the drip irrigation tube to measure the amount of water used.
Analisa Perfoma Jaringan Wifi Berbasis Smartphone Sebagai Tethering dan Smartphone Sebagai Modem dengan Metode Perbandingan

At this time smartphones sound familiar to the public. Smartphones are included in the auxiliary tools in the continuity of human life equipped with various features that have the same capabilities as computers, so it is no stranger to the ears of the community with it because it provides convenience for users. One of the features given to smartphones is the tathering feature, Tethering makes it easy for users to share internet connections in a way that is easy to use in every age group of society in general. This research uses an experimental method by analyzing two objects. Based on the test results, the test was carried out using the speed test application 10 times within 1 day and obtained an average on both objects that showed a comparison of the results obtained and showed the superiority of using a smartphone as a modem compared to a tethering smartphone. In this test, get the average value of the router download: 15.66 and upload: 18.207 then the average value of tethering download: 10,815 and upload: 16,271 from the beginning of the average network used download: 20.782 and upload: 20,51. With the average comparison above, it can be concluded that the use of a smartphone as a modem has a superior network sharing average using MBps as a measure.
Talking cigarette in cyberspace: Cyber community response to the implementation of smoke free area policy in Bandung, Indonesia

Background and purpose: The policy of implementing and expanding smoke free area (kawasan tanpa rokok/KTR) in several locations in the City of Bandung has become a topic that is highlighted by the community. Community response is an essential component in succeeding policy implementation. This study examines how the culture of cyber society responds to the implementation and extension of the KTR in the city of Bandung Methods: This study uses a qualitative method with a netnographic strategy. Three posts were selected according to the criteria for the research objectives, including: @prfmnews posts, @infobandungraya, and @infobdg.com. Instagram is selected as the research data source because, according to the Ministry of Communication and Information (Kominfo), it is the most popular social media in Indonesia. Indeed, every post and information on it has the potential to attract various groups. Several concepts and theories in this study relate to the diffusion of innovation, information literacy, cognitive dissonance theory, and selective process theory. Results: This study found some of the contra arguments were conducting tobacco control is false propaganda; other regulations are more urgent than KTR; the leading cause of dirty air is vehicles; local regulation on KTR is ambiguous, and smoking is part of individual rights. In the pro category, the communities are supportive, especially those who are passive smokers and feel discomfort with cigarette smoke conditions. Information and digital literacy related to cigarettes are factors that trigger individual responses to hoaxes and conspiratorial information about cigarettes. Denial to the reality of the dangers of smoking illustrates how the process of cognitive dissonance occurs in smokers who try to justify their actions for various reasons. The cyber community has experienced selective exposure to the KTR and the diffusion of innovations in the KTR should be considered. Conclusion: Based on the research findings, the researcher suggests that the government should pay attention to the stages of persuasion and promotion of KTR policies to achieve public obedience to the applicable local regulations.
Implementasi Sistem Pakar Diagnosis Penyakit Pada Ibu Hamil Menggunakan Metode Naïve Bayes

Pregnant women need special attention to maintain their health and that of the fetus they are carrying. To support this process, an expert system has been developed that is capable of diagnosing diseases in pregnant women. The Naïve Bayes method is one of the approaches used in this expert system to classify diseases based on the symptoms experienced by pregnant women. The purpose of this research is to implement an expert system based on the Naïve Bayes method to support the diagnosis of diseases in pregnant women. The Naïve Bayes method was chosen because of its ability to deal with classification problems with incomplete or unbalanced data. After the Naïve Bayes model is a solution, testing and evaluation is carried out using test data. The accuracy of the expert system is measured by comparing the diagnosis given by the system with the actual diagnosis. The results showed that the expert system with the Naïve Bayes method was able to provide an accurate diagnosis for pregnant women. This proves the effectiveness of the Naïve Bayes method in supporting the diagnosis process in pregnant women.
Penerapan Algoritma Dijkstra dengan metode SAW dan Haversine Pada Pencarian Rute Terdekat Menemukan Titik Pemberhentian Angkot Kota Sukabumi

Angkot (City Transportation) in Sukabumi City is a popular public transportation system and is one of the main means of transportation for local residents and visitors to move around in the city with so many lanes each that the angkot itself passes, 19 route routes which cause so many problems for the community and outsiders of Sukabumi in finding angkot stop points so that it slows down time and is inefficient. Therefore, to make it easier to find angkot stopping points, Dijkstra's algorithm was chosen. Dijkstra's algorithm is the shortest route search algorithm by relying on the smallest value weight and calculating all neighboring nodes to find the smallest value. Researchers used 2 methods used, namely the SAW and Haversine methods. SAW method (Simple Additive Weighting Method). This method is for carrying out weighted sums based on 3 criteria for road width, distance traveled and estimated time and then normalizing the data to ranking. the haversine method is to calculate distances based on lattitude and lontitude. Initiate from the starting point to the destination point with a graph using Dijkstra's algorithm to produce a 30 iteration focus point generated by Dijkstra's algorithm, then evaluate the model by reaching other paths to the destination point.The results obtained in the search for the closest route using the two SAW and Haversine methods, after calculating all the paths passed from the starting point V117 (Bayangkara Street) - V82 (R.E Martadinata Street) obtained the results of the shortest route obtained, namely V117 - V118 - V131 - V130 - V132 - V133 - V134 - V138 - V137 - V110 - V82. Looking for the closest route from the starting point to the destination location determined by the researcher with the final result in the form of a Web-based application.
Aplikasi Augmented Reality (AR) Sebagai Media Pembelajaran Sistem Rangka Manusia

Problems in the Indonesian education system have raised serious concerns over the low quality of education. One of the problems that causes low interest in learning is the lack of interest in the learning media used. Therefore, it is important for schools to create learning conditions that are comfortable, interesting, and provide opportunities for students to participate actively. One solution that can be used is the use of computer-based learning media, such as Augmented Reality (AR), which can increase students' interest in learning. In the context of learning Natural Sciences, understanding the anatomy of the human body is an important aspect. The purpose of this research is to develop an Augmented Reality (AR) application using the Game Development Life Cycle (GDLC) method as a learning medium or introduction to the human skeletal system. This application will be equipped with theoretical materials and 3D-based object views that include the names of related bones. With the development of this application, it is expected to create an interesting and interactive learning experience, increase the effectiveness of the learning process, and avoid boredom for students.
Analisis Penggunaan Orange Data Mining untuk Prediksi Harga USDT/BIDR Binance

The results of implementing Orange Data Mining for predicting USDT/BIDR prices are displayed in the Test and Score widget. In the conducted test, RMSE and MAE values were obtained for each model. The K-Nearest Neighbor (K-NN) method had RMSE and MAE values of 0.002 and 0.002, while the Support Vector Machine (SVM) method had RMSE and MAE values of 0.0003 and 0.002. The Linear Regression method had RMSE and MAE values of 0.0000 and 0.000. Based on these RMSE and MAE values, it can be concluded that the Linear Regression method is the best method for predicting changes in USDT/BIDR prices compared to the K-Nearest Neighbor and SVM methods. Further research is needed to investigate this best method for future studies. It is recommended that future research compares the Linear Regression method with other methods using Orange tools or implements other relevant tools.
Sistem Pendukung Keputusan Kelayakan Pemberian Kredit Nasabah Dengan Metode Electre

PT Hasjrat Abadi has collaborated with a financing institution to provide opportunities for vehicle ownership through credit facilities. The credit system offered by the financing institution can boost vehicle sales. However, before that, the lender must conduct a thorough consumer data analysis. This is crucial to ensure that potential customers can repay the approved vehicle loans, thereby avoiding the risk of loan defaults in the future. The process of consumer data analysis is time-consuming due to the abundance of documents involved. Additionally, field surveys are necessary to validate consumer data by applying the 5C Bank Principles (character, capital, capacity, collateral, and condition).&#x0D; Research Objective By implementing the Electre (Elimination and Choice Translation Reality) method in the decision support system, we can provide quick, accurate, and precise information to determine whether potential customers are eligible to purchase vehicles from PT Hasjrat Abadi through credit. This method utilizes the 5C Bank Principles (character, capital, capacity, collateral, and condition) to evaluate consumers. The method used is Research and Development (R&amp;D), which aims to develop specific products and test their effectiveness.&#x0D; The research findings indicate that this system can enhance the services provided to customers at PT Hasjrat Abadi's branch in Gorontalo. Based on the data input by credit analysts, it was found that only 50 percent of the total potential customer data could be approved using the Electre method for credit applications. This facilitates faster, more accurate, and more reliable decision-making for customers.