bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Transfer Learning Pada Algoritma Convolutional Neural Network untuk Mengklasifikasikan Image Objek Wisata
Authors: Mira Mira , Sembiring Irwan , Purnomo Hindriyanto Dwi
Published: January 2023

This study classifies the image of a tourist attraction with 9 labels sky, tree, mountain, water, street, temple, garden, stone and ricefield. The results of multi-label labeling can be used to see the frequency and recommendations of tourist attractions in Central Java, and build a transfer learning model to determine the accuracy value. Classification with multi-label images has its own complexity in the labeling process and few people use it. Testing and evaluating the model uses the equation of accuracy and f-1 score. Several previous researchers also stated that the higher the amount of training data and the number of epochs per step, the higher the accuracy produced. Based on the results of training and evaluation of the four training processes, that 210 data using bs 8, lr 1e-3 and epoch 50 showed an accuracy of 0.8598 with a loss of 0.3245, while 290 data with bs 16, lr 1e-3 and epoch 50 showed an accuracy of 0.8685. with a loss of 0.2903. Then 594 data with bs 32, lr 1e-3 and epoch 50 showed an accuracy of 0.8852 with a loss of 0.2756, and 1000 data with bs 46, lr 1e-3 and epoch 50 showed an accuracy of 0.8833 with a loss of 0.2863. This can answer the statement that the greater the number of datas, the higher the accuracy produced, so that the transfer learning model on the ResNet-50 architecture with multi-label image datas can be applied by showing accuracy results close to the accuracy value on ResNet-50 in the imagenet project. In addition, the contribution of this research is to provide recommendations for potential tourist objects in Central Java, namely tourism objects with the theme of nature, then tourism processed by human hands such as historical places, cultural heritage and family recreation areas.
Analisis Sentimen Dalam Pengkategorian Komentar Youtube Terhadap Layanan Akademik dan Non-Akademik Universitas Terbuka Untuk Prediksi Kepuasan
Authors: Fatmasari Rhini , Ayu Virda Mega , Anto Hari , Gata Windu , Yulianto Lili Dwi
Published: January 2023

The key to the success of an educational organization in achieving its goals of course cannot be separated from the quality of service both in academic and non-academic forms. Where in achieving these goals of course by giving satisfaction to the academics. The case study was carried out to predict service satisfaction at the Open University by using comments on social media Youtube as data processing. The text mining approach is a good alternative in terms of interpreting the meaning in the comments given. This study aims to analyze the predictions of service satisfaction from several categories as a benchmark. The categories are: Module, Tutorial, Scholarship, Lecturer, Exam, Application, Non-Academic and Others. The research method used is comparative, by applying 4 algorithms, namely Decision Tree (DT), Support Vector Machine (SVM), Naïve Bayes (NB) and Random Forest (RF) for Prediction Accuracy. The total initial dataset is 7776 data and after cleansing and preprocessing is 6920 data. And then evaluated for the 7 categories after being accured to produce: Module category with the highest accuracy of 99.37% using the DT algorithm, Application Category with the highest accuracy of 100% using the DT algorithm, Teaching Category the highest accuracy of 99.42% using the algorithm DT. The tutorial category has the highest accuracy 92.4% using the SVM algorithm, the exam category has the highest accuracy 99.7% using the RF algorithm, the non-academic category has the highest accuracy 99.90% using the DT algorithm. And for the Others category the highest accuracy is 96.58% using the DT algorithm
Depression Detection on Twitter Using Bidirectional Long Short Term Memory
Authors: Sumolang Putri Ester , Maharani Warih
Published: January 2023

The usage of social media as a platform for individual expression is one example of how the advancement of technology has an impact on society. Therefore, many Twitter users show symptoms of depressive disorders through their tweets. It is crucial to be aware of the need to consult a doctor or other specialists to prevent suicides. However, leveraging Twitter user tweet data to detect depression early on can be avoided by using the Bidirectional Long Short Term Memory (BILSTM) approach and the word2vec feature extraction method. The dataset utilized in this study was obtained from respondents who agreed to have their data used in research after completing a questionnaire based on the Depression Anxiety and Stress Scales - 42 (DASS-42). The whole data from 159 users of Twitter who have been classified as depressed or normal based on the results of the DASS-42 labeling are then preprocessed so that the data can be entered into the word2vec feature extraction and modeled by BiLSTM as a classification. The evaluation revealed an accuracy of 83.46 % and an f1-score of 87.11 %. By increasing the number of neurons, accuracy increased by 2.36 %, and f1-score climbed by 1.64 %.
Identification of Big Five Personality on Twitter Users using the AdaBoost Method
Authors: Angsaweni Ajeung , Maharani Warih
Published: January 2023

Social media is one of the lifestyles in the modern era that uses web-based technology for social interaction. As one of the most popular social media platforms, Twitter allows users to express themselves through tweets that can show their personality. The Big Five theory states that a person’s personality is divided into five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism. Several methods have been used to conduct user personality research based on activity on social media. The AdaBoost method is used in this study to identify the personality of Twitter users using sentiment, emotion, social, PCA, and POS-tag features. There are two test scenarios in this study. The first is testing the AdaBoost model with all features, and the second is testing the AdaBoost model with a combination of three features. The research indicates that the data preprocessing method can affect the model. The results showed that the AdaBoost model with all the features and without the stemming process had the highest accuracy value of 53.57%.
Rancang Bangun Sistem Notifikasi Sepeda Motor Menggunakan Modul GSM Berbasis Mikrokontroler
Authors: Krisnadi Gidion Fajar Tri , Sulistyo Wiwin
Published: January 2023

The notification system for two-wheeled motorcycles is currently very ineffective, so that the theft of motorcycles is very high if they still use an alarm without notification to the owner of the motor vehicle. So that the motorcycle notification system using a GSM module based on a microcontroller can be an alternative to secure motorcycles from theft. The purpose of this study is to make a notification system using the GSM SIM800L module to provide notifications and use an RFID Reader to replace the contact system on a motorcycle. The test results from this study are the performance of the notification system using a GSM module based on this microcontroller can work well. When the RFID receives input from the e-KTP ID Tag and is forwarded to the microcontroller and forwarded to the SIM800L to send an SMS notification, the microcontroller will give the output to the relay to turn on the electricity on the motorcycle.
Penerapan Metode Case Base Reasoning Dalam Diagnosa Penyakit dan Hama pada Tanaman Hortikultura
Authors: Aldo Dasril , Nur Yohani Setiya Rafika , Lanyak Andre Citro Febriliyan , Hulqi Filfimo Yulfiz Ahsanul , Hikmah Rania Nur
Published: January 2023

Horticultural products are products from the agricultural sub-sector with potential and prospects for development. Horticultural products consist of medicinal products, fruit, vegetables, and ornamental plants. However, some farmers are still not optimal in getting results from their cultivation because they do not understand how to control pests and diseases of horticultural crops. This causes the plant to be susceptible to various diseases. Identification of diseases in these plants is often done manually so it takes a long time. The development of computer technology can be utilized in various branches of science, one of which is the field of artificial intelligence. Expert systems are included in one of the scientific branches of the current artificial intelligence program. Expert systems have the ability to solve a particular problem, usually requiring an expert from an expert. The method that will be used is the case-based reasoning (CBR) approach. This study aims to help farmers diagnose diseases and pests, so that they are more optimal and on target in controlling. In the implementation of the expert system with the CBR method, a diagnosis will be obtained, and it will be recommended for plant control. Case Based Reasoning method is used to process 10 data. This method will process data in the form of symptoms seen in horticultural plants. The test results obtained a percentage value of 80%. Therefore, the application of the Case Based Reasoning method is very relevant in the Diagnosis of Diseases and Pests in Horticultural Crops.
Analysis of Community Sentiment on Twitter towards COVID-19 Vaccine Booster Using Ensemble Stacking Methods
Authors: Salsabila Syifa Khairunnisa , Jondri Jondri , Astuti Widi
Published: January 2023

The outbreak of the COVID-19 virus in Indonesia has not ended until the government has made various efforts to reduce this outbreak, such as the Large-Scale Social Restriction (PSBB) policy and the obligation of the entire community to vaccinate against COVID-19. The government has made a new policy for the community: booster vaccination for people who have already been vaccinated against COVID-19 1 and vaccinated against COVID-19 2. With this new policy, many people have given opinions on social media. One of them is Twitter social media. Positive and negative opinions given by Twitter users can be used as a source of information data. Because of these problems, researchers conducted a sentiment analysis of the booster vaccine using the Ensemble Stacking method. The dataset that has collected as many as 6,500 data from Twitter will be grouped into positive and negative class sentiments. The best results from this study using ensemble stacking and oversampling have an accuracy value of 80%.
Detection of Radicalism Speech on Indonesian Tweet Using Convolutional Neural Network
Authors: Putra Faiza Aulia Rahma , Sibaroni Yuliant
Published: January 2023

The ease of disseminating information today is inseparable from the rapid development of information technology. Unfortunately, radical groups also use this condition to spread propaganda and recruit members through social media such as Facebook and Twitter. Therefore, detecting radicalism on social media is essential, given the ease with which information can be spread that can affect social media users. Several studies to classify radicalism speech have been carried out using machine learning algorithms such as K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). However, only a few used the Indonesian language and even utilized a small dataset. This study proposed to detect radicalism speech in Indonesian tweets using Convolutional Neural Network (CNN) and Word2Vec as feature extraction. The dataset is a collection of Indonesian-language tweets obtained through tweet crawling. CNN modeling was conducted using several scenarios with the number of filter parameter values = 100 and 300, and kernel size parameter value = 3, 5, 7, 9. From the training process using the scenarios above, the most optimal model is obtained with parameter filters = 300 and kernel size = 7, producing the best accuracy of 87.87% and average accuracy of 86.93%. Based on the best model obtained, an evaluation was carried out on the test data, which resulted in an accuracy of 87.15%.
Prediction Retweet Using User-Based and Content-Based with ANN-GA Classification Method
Authors: Arifin Edvan Tazul , Jondri Jondri , Indwiarti Indwiarti
Published: January 2023

Current technological advances have caused rapid dissemination of information, especially on social media, one of which is Twitter. Retweeting or reposting messages is considered an easily available information diffusion mechanism provided by Twitter. By finding out why a user retweets a tweet from another person and by making this prediction we can understand how information diffuses on Twitter. In this study, Artificial Neural Network – Genetic Algorithm is used in the classification process and uses user-based and Content-Based features. Evaluation result obtained in this study are 90% accuracy, 72% precision, 83% recall, and 65% F1-Score value on the model by Oversampling.
Evaluation and Redesign of Telkom University’s Open Library Website Interface Using the Goal Directed Design (GDD) Method
Authors: Alfaen Zian , Sardi Indra Lukmana , Adrian Monterico
Published: January 2023

As a university with World Class University quality, Telkom University provides information services with a website as the main source of libraries for its students. The website is called Open Library which provides information on all library collections owned by Telkom University which are open and can be loaned. One of the missions of this website is "To play an active role in increasing interest in reading and writing in the community". Because, a good digital library website is a library website that can increase the reading interest of users. Interface design is one of the most important elements to support the quality of digital libraries. Therefore, this study aims to evaluate the design and provide design solutions for the interface of the Open Library website. . The final evaluation used in this study used the System Usability Scale method. The System Usability Scale (SUS) is a measure of the usability of a product using a 10-question questionnaire developed by John Brooke. Of the 20 respondents who had filled out the questionnaire in the final evaluation, the result was 74.45. Where 74.45 is a score that has passed the average standard value of SUS
Comparison of Ensemble Methods for Detecting Hoax News
Authors: Wahyuni Delvanita Sri , Sibaroni Yuliant
Published: January 2023

The spread of hoaxes in Indonesia has become a big concern for the public, especially now that the COVID-19 virus pandemic is hitting the whole world. Due to the large number of people who believe the hoax news regarding the COVID-19 vaccination that has spread on social media, many people refuse to carry out the COVID-19 vaccination as a form of government effort in dealing with this pandemic. Therefore, people need to be wiser when reading news on social networks. To help the public not to read hoaxes, it is necessary to classify the COVID-19 vaccine hoax. This study builds a system to classify hoax news on the COVID-19 vaccine. The model was built using the ensemble method by comparing the Random Forest and AdaBoost algorithms to choose a good classification for detecting hoaxes. In this research, there are use two test scenarios. The first scenario is an experiment using the Random Forest algorithm method and the second scenario is an experiment using the Adoboost algorithm method. The experimental results show that the first scenario produces a good accuracy value with the random forest algorithm method of 93.58%.
Classification Analysis of Waiting Period for Telkom University Alumni to Get Jobs Using Decision Tree and Support Vector Machine
Authors: Miranda Annisa , Lhaksamana Kemas Muslim
Published: January 2023

Tracer analysis is one of the ways to increase a university's accreditation. Tracer studies, also known as graduate surveys, are beneficial for enhancing learning and developing university curricula. The period it takes graduates to secure employment is a measure of their quality. The sooner graduates obtain a job, the higher their perceived quality. Conversely, if it takes graduates longer to find employment, their quality is deemed lower. To gain new knowledge from the tracer study dataset regarding the relationship between university contribution and alumni capability in the job market, in this study, data mining techniques are used to determine what factors influence the length of time it takes college graduates to find employment. This classification model contains a total of 2288 data instances from the categorical type of dataset. The features are selected using chi-square. Two classification algorithms, Decision Tree and Support Vector Machine, are compared for the best model. This study also used hyperparameter tuning to improve accuracy. The results show decision tree produces higher accuracy compared to the support vector machine. The accuracy obtained from the decision tree model is 55.02% and increased to 65.06% after hyperparameter tuning. Meanwhile, the support vector machine brought an accuracy of 60.40% and increased to 62.15% after hyperparameter tuning. Factors that affect the classification of the alumni waiting period in getting a job in this study are sex, faculty of the study field, department of the study field, study period, company specification, company category, and work location.
The Simulation of Autonomous Vehicle Using ROS2 Based on Convolutional Neural Networks for Object Recognition
Authors: Miftahudin Muhammad , Selviandro Nungki , Alibasa Muhammad Johan
Published: January 2023

The main justification for implementing an Autonomous Vehicle (AV) system in the real world is the safety aspect of driving, because if there is an error in driving then the error will become a gap that can threaten the safety of the driver himself and other drivers, therefore an AV system is made to reduce driver errors. in driving. The aim of this research is to implement one of the parts of the AV system, that is object recognition, and in this study, we also conduct an experiment with simulating the object recognition feature that has been implemented in order to get more concrete results. Architectural object recognition is designed to extract key features from traffic sign images, the traffic sign detection uses the customized Convolutional Neural Networks (CNNs) architecture. After the architectural has been implemented, training will be carried out using Custom Traffic Sign Dataset and experiments will also be conducted to simulate object recognition by applying ROS2 as a car robotic system that represents a car's functionality system in the real world. the results of this study for the implementation of the modified CNNs architecture is 99.96% and the results of the simulations carried out show that the prototype can detect traffic signs objects with a distance of 10m
Implementasi Support Vector Machine Pada Alat Monitoring Kecelakaan Dengan Intelligent Transport System
Authors: Zahrah Syifa Amira , Handayani Ade Silvia , Nurdin Ali
Published: January 2023

The implementation of intelligent transportation systems will produce a large amount of data. The resulting data is critical in the design and implementation of ITS in the transportation system. This study discusses the performance of the Support Vector Machine algorithm on an accident monitoring tool by utilizing the Intelligent Transportation System that works in real-time using an Android-based application. This experiment simulates accident monitoring with a multisensor accident monitoring device. Multisensor technology consists of MPU 6050 sensor, sound sensor, vibration sensor, and camera. In an experiment, the measured variables are location, slope, accuracy, and time of the traffic accident monitoring system. The results of monitoring traffic accidents in testing using the Support Vector Machine algorithm can work well by classifying data based on the type of accident.
Rancang Bangun Robot Humidifier Beroda Untuk Menjaga Kelembapan Udara Ideal Mencegah Terinfeksi Bakteri Berbasis Mikrokontroler
Authors: Nugroho Fifto , Oktavianthi Ananda Tri , Bani Alexius Ulan
Published: January 2023

Cases of patients infected with bacteria still exist today, this is due to the lack of public attention to the reasonableness of clean air in the room. Air humidity is needed by living things, the impact of the absence of air humidity levels such as dryness and air turbidity that is too high will cause uncomfortable conditions for living things in the surrounding environment and will increase bacteria and viruses. Currently the estimated idea to overcome its spread prevention is to design a tool that can work automatically by utilizing embedded system technology as a trigger component to get the input value of air humidity levels and can communicate with the ATMega328 AVR microcontroller board for further processing to carry out its work. The reason for this research is to design and build a wheeled humidity robot that is equipped with a mist generator component as an essential part to generate steam and automatically runs humidifying the air in every room that needs it
POS Tagger Improvisation with the Addition of Foreign Word Labels on Telkom University News
Authors: Setyono Winkie , Richasdy Donni , Purbolaksono Mahendra Dwifebri
Published: January 2023

News is a medium of daily information usually obtained by the public. The news consists of a lot of information in it and is composed of sentence structures. Each language is unique with its own sentence structure, like Indonesian and other foreign languages. But nowadays, many media mix Indonesian with foreign languages, making the sentence structure different from Bahasa Indonesia. To classify these words, Part Of Speech Tagging needed to determine the class of words composed of sentences by learning from the Corpus of each language. With the new sentence structure, POS Tagger requires a larger Corpus to learn. The language structure can determine the results of tagging from the POS Tagger. If there are words that are not in the Corpus, it can reduce the accuracy of the POS Tagger. We conducted to enhance the research results by adding data with a different sentence structure from the Indonesian Language Corpus using sentences from online media. Added about 242 sentences with 7,043 tokens on Corpus focused on Foreign Word tags, which total 3819 tags. After doing some testing and scenarios, the results of the accuracy of POS Tagger show an accuracy of 94.7% using the Hidden Markov Model method with the F1-Score tag FW 78%.
Rancang Bangun Sistem Robot Pemilah Sampah Anorganik dengan Inductive Proximity dan LDR Sebagai Sensor
Authors: Rosiana Elfirza , Perdana Rizki
Published: January 2023

The existence of garbage from day to day has always increased. In 2019, waste in Indonesia reached 98 million tons. Problems that arise because management of waste that is not done well, can hinder waste management. It is necessary to create a system that can sort waste according to its type so that the grouping of waste becomes more practical and the recycling process can be done easily. In this research, inorganic waste sorting robot was created that can be used as an automatic trash can that can sort and place inorganic waste according to its type. This system works by involving an inductive proximity sensor to detect metal waste and a light dependent resistor sensor equipped with a laser to detect metal waste, paper and plastic waste. From the results of testing on the tool, the accuracy of the detection of waste types for metal waste, paper waste and plastic waste is 84%, 88% and 90%, respectively. While the average response time of the non-organic waste sorting robot in detecting each type of waste is 2.15028 seconds for metal waste, 2.15014 seconds for paper waste and 2.15028 seconds for plastic waste
Implementation of the SAW Method in the Decision Support System for Contract Extension Freelance Daily Workers
Authors: Lubis Muhammad Alwi Hanif , Dalimunthe Ruri Ashari , Suparmadi Suparmadi
Published: January 2023

The Department of Population and Civil Registration of Asahan Regency provides a freelance daily worker contract extension (THL) which is carried out once a year. Previously, the labor contract extension process was carried out by the head of the personnel sub-section directly in the field and then proposed to the Regional Personnel Agency (BKD) for approval. Then the BKD Office of Asahan Regency gave a contract extension letter to be distributed to contract extension workers who deserved to be extended the contract through the head of the civil service sub-section of the Asahan Regency Population and Civil Registry Office. However, with the number of proposals and the many criteria used in the assessment, this makes it difficult for the Dinas to make decisions about who is entitled to apply for an extension of their work contract. The solution to the problem of extending the contract for casual daily workers (THL) at the Department of Population and Civil Registry of Asahan Regency is by making a decision support system for extending the contract for casual daily workers using the SAW method.
Sistem Pakar Untuk Diagnosa Retardasi Mental Anak dengan Metode Bayes Berbasis Web
Authors: Yuliana Eliya , Siregar Iqbal Kamil , Saputra Endra
Published: January 2023

In children's mental retardation, sometimes the child's parents cannot directly consult with a psychiatric specialist because of the limited time in carrying out activities in the hospital and the high cost. 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 patients with mental retardation to diagnose the disorder. The purpose of this research is to build a web-based expert system for diagnosing mental disorders. 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 how far the degree of subjective belief must change rationally when there are new clues. to get a diagnosis. The result of the implementation of the system is that the system provides choices in the form of symptoms that must be answered by the patient's parents based on the symptoms experienced by the patient and the results of the process the system will provide information on the mental retardation he experienced in order to get a solution with the handler
Implementasi Metode Analytical Hierarchy Process Pada Sistem Pendukung Keputusan Rekomendasi Ikan Budidaya Berbasis Web
Authors: Masdalena Anggi , Dalimunthe Ruri Ashari , Saputra Endr
Published: January 2023

Aquaculture in Asahan Regency still has high potential. The large number of residents who have vacant locations/land, becomes a good potential to be managed. The problem that is often faced is that residents have difficulty in determining the type of fresh or brackish water fish to be cultivated. The Asahan District Government through the Asahan District Fisheries Service has launched a program to increase the production of fresh and brackish water fish. To support this program, residents are expected to be able to take advantage of the potential of existing ponds. Therefore we need a system that can be used to assist the government in determining the types of fish farming that have potential. The purpose of this freshwater fish farming decision support system can provide information about the types of freshwater fish seeds, as well as assist farmers in making decisions about freshwater fish seeds. The research approach uses quantitative methods with program design using the Analytical Hierarchy Process (AHP) method. The results of calculations using pairwise comparison matrices for the use of criteria indicate that the most important priority is shown in the water temperature of 0.39, the second priority is water brightness of 0.41, the third priority is the pH of the water at 0.10, the fourth priority is the type of pond at 0.066, and the fifth priority is The pond area is 0.041. Meanwhile, for alternative uses, data is obtained, namely the weight of the highest value of Fishery Cultivation Potential, namely Rawang Panca Arga with a value of 0.6224, the second alternative is Bandar Pulau with a value of 0.6215 and the third alternative is Bandar Pasir Mandoge with a value of 0.575
Penerapan Metode MFEP Berbasis Web Pada Sistem Pendukung Keputusan Penilaian Kompetensi Soft Skill Pegawai
Authors: Fitria Melly Ega , Siddik Mohd , Suparmadi Suparmadi
Published: January 2023

An agency cannot be separated from the role of human resources (HR) who work in it. The quality of human resources is one of the factors to increase the productivity of an agency's performance. Human resources are the most important contribution to the growth and development of the agency. Therefore, an agency needs to conduct an employee performance assessment to determine the success or failure of the employee in carrying out his duties. Soft skill competency assessment is a very important issue in managing employee performance. The system that runs at the Subur Village Hall Office in assessing employee soft skill competencies has weaknesses, namely the employee assessment process is still done manually and the data processing process has not used an application program. In addition, the assessment is still subjective and not relevant to the actual situation, so it cannot be used as a basis for objective decision making so that it is difficult to determine the soft skill competency assessment possessed by employees. The purpose of this study is to assist the agency in assessing employee performance quickly and accurately. The research was conducted using qualitative methods with program design using the multi-factor evaluation process (MFEP) method. The results of testing the MFEP method calculation system are close to the results of calculations carried out by the Subur Village Hall Office using the Microsoft Excel application according to the weights on each criterion that have been determined by the Subur Village Hall Office
Penerapan Metode Profile Matching Dalam Sistem Pendukung Keputusan Pemilihan Teknisi Terbaik
Authors: Sawitri Sawitri , Hasibuan Nelly Astuti , Utomo Dito Putro
Published: January 2023

PT. Mitra Tunggal Perkasa is a distributor company engaged in the marketing of goods sales, the goods sold or marketed are heavy equipment types such as the Shark Komprssor machine. Maintenance on the compressor machine is usually carried out by a technician, in which case PT. Mitra Tunggal Perkasa selects the best technicians and also rewards technicians who will be the best alternative. The selection of the best compressor technician is done to help improve the technician's work power so that it becomes even better than the previous one. To assist the determination or selection in determining someone who deserves to be the best compressor engine technician, a decision support system is needed, and there are lots of criteria that every technician must have as a condition to become the best compressor engine technician. In this study, a case will be raised, namely looking for the best alternative based on predetermined criteria by applying the Profile Matching method. 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) can be seen. selected alternative, so that it can be used by each party in supporting the progress of the organization or company in achieving its goals through making the best decisions. The result of the Decision Support System for the Selection of the Best Mechanical Technician at PT. Mitra Tunggal Perkasa is alternative A2 with a value of 4,755 in the name of "Satish Kumar".
Penerapan Metode Case Based Reasoning Untuk Diagnosa Penyakit Kulit Akibat Virus Eksantema Berbasis Web
Authors: Harahap Parwan , Hutahaean Jeperson , Dewi Muthia
Published: January 2023

In the current condition of the patient, if he has experienced early symptoms of skin disease due to the exanthema virus, it is felt that he cannot directly consult with a dermatologist because of the high cost and limited time for specialists to carry out activities in the hospital. So the author needs to make an expert system application that can overcome this. Through this application, users can consult with the system like consulting an expert to diagnose symptoms that occur to users and find solutions to problems encountered. This expert system is made by providing appropriate or not or with several choices of answers that are recommended from the symptoms that occur. System. Diagnosing skin diseases due to exanthema virus, the author uses the Case Based Reasoning method. The CBR method is a weighting technique by comparing new cases with old cases. With the diagnosis based on the data provided by the patients and experts then analyzed by case based reasoning method and stored as a knowledge database in the expert system. So that this expert system can help to take solutions for handling problems when patients suffer from skin diseases due to the Exanthema Virus.
Implementasi Robot Orang-Orangan Sawah Supply Energi Matahari Memakai Microcontroller
Authors: Simanjuntak Ahmad Dahlan , Hutagalung Jhonson Efendi , Syahputra Abdul Karim
Published: January 2023

Sparrows are a type of pest that is very detrimental to rice farmers, even though these bird pests are small in size but in very large numbers, causing rice farmers to be overwhelmed in protecting rice from pests. Efforts made by farmers in protecting rice from bird pests by using scarecrows that work less effectively, it is necessary to have a scarecrow robot that can work effectively by utilizing solar heat as an energy supply. The rice field robot will be placed in the middle of the rice field that has issued a grain with a size of 20mx20m by utilizing the LDR sensor as a switch to turn on and off automatically, where the robot is equipped with 4 sound sensors placed in each corner of the rice field to detect the sound of birds on the ground. when the robot's sound sensor detects the sound of bird pests, the DC motor mounted on the robot body will move to rotate the robot body left and right along with the servo installed on the two robot arms will move in opposite directions from 00-1800 or 1800-00 and the DFPlayer will make a sound to scare away bird pests that will attack rice. Finally, the author hopes that this research can be further developed so that it can increase the use of the robot in bird repellent
Sistem Pakar Untuk Mendeteksi Penyakit Mata Menerapkan Metode Case Based Reasoning
Authors: Telambanua Norma Jaya , Nofriadi Nofriadi , Dermawan Ari
Published: January 2023

The problem that is often faced by the general public is the difficulty of knowing the occurrence of eye disease in humans because it is caused by different symptoms, so if the eye is disturbed and we ignore it, it could be an early symptom of eye disease that can be fatal. Given that experts and practice hours are limited, so that patients cannot consult experts anytime and anywhere, an expert system is needed. The existence of an expert system can solve problems that occur because the expert system uses an appropriate method. In the expert system, the method used to diagnose an eye disease is the Case Based Reasoning (CBR) method, which is a reasoning process for a previous similar case. In the experiment, it is proven by looking for the level or value of the new case data approach with the old case data data for reference in making decisions on new cases. Therefore, the authors build an expert system application to diagnose disease. In this system the inference used is Case Based Reasoning because the process is carried out to recognize the disease and its symptoms and early characteristics of the disease. The development of this web-based system uses the PHP and Mysql programming languages ​​as the database. This expert system can represent an expert in the field of eye disease to find out eye diseases based on existing characteristics and symptoms and can provide solutions if there are diseases suffered by patients
Sistem Pendukung Keputusan Pemilihan Biji Kopi Arabika Terbaik Menggunakan Metode SMART
Authors: Supiyandi Supiyandi , Rizal Chairul , Siregar Muhammad Noor Hasan , Putra Eka , Saragih Rusmin
Published: January 2023

Arabica coffee beans are one of the main varieties of coffee beans developed in Indonesia. In making decisions to determine quality Arabica coffee beans, an appropriate system is needed to analyze problems in solving and efficient and accurate data presentation. Therefore, a computer-based system or method is needed to facilitate the selection of the best Arabica coffee beans. This study uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method to solve the problem of choosing a multi-objective choice among several criteria, so that later it will be able to produce an effective and efficient analysis. The input criteria that are the priority in selecting the best Arabica coffee beans are aroma with a weight of 25, color with a weight of 25, taste with a weight of 25, dirt content with a weight of 15, and price with a weight of 10. Of the 25 alternatives tested in this system, Gayo Avatara Natural Arabica coffee beans were the best first alternative, followed by Aceh Gayo Wet Hull, Java Ijen Natural, Java Ijen Honey, and Kintamani Natural. This decision support system for selecting the best Arabica coffee beans provides speed, accuracy, and data accuracy in selecting the best Arabica coffee beans which will be used by coffee lovers to provide coffee with a delicious taste. So the results of the decision from 25 types of Arabica coffee, there are 11 types of Arabica coffee with a rating of "Very Good", 10 types of Arabica coffee with a rating of "Good", and 4 types of Arabica coffee with a rating of "Quite Good".
Sistem Pakar Diagnosa Penyakit Diabetes dengan Menggunakan Metode Bayes Berbasis Web
Authors: Pratiwi Shella Dwi , Hutagalung Jhonson Efendi , Suparmadi Suparmadi
Published: January 2023

Diabetes Mellitus is one of the non-communicable diseases with the highest proportion in Indonesia and is the sixth highest cause of death in this country. Especially in Asahan District, the number of people with diabetes who died is increasing over time, so there needs to be effective treatment so that diabetes is no longer feared by the public because it is easy to treat. Many patients who experience diabetes are getting worse because they cannot detect the early symptoms of diabetes, which is still considered trivial. There is no information about diabetes and its symptoms, making it difficult to diagnose the disease. In the diagnosis of DM disease is limited to conventional diagnoses with doctors. it is necessary to build a system on a computer application to help diagnose DM. To determine the level of DM disease, an expert diagnostic system was made with the method used in this case is the Bayes method. This method is an approximation to an uncertainty that is measured by probability. Bayes' approach at the time of classification is to find the highest probability by inputting the required attributes and the probability of the disease and related symptoms. The results of the implementation of the system are the selection of symptoms according to the case of experiencing type 1 diabetes because it has a weight = 2 higher than the weight results of other diseases, the system provides the results of the process the system will provide information on what type of DM he is experiencing in order to get a solution with treatment
Sistem Pendukung Keputusan Penentuan Penerimaan Bantuan Pangan Non Tunai Menerapkan Metode Simple Additive Weighting (SAW)
Authors: Fikri Muhammad , Helmiah Fauriatun , Putri Pristiyanilicia
Published: January 2023

One of the programs established by the government to reduce the burden on the community in meeting basic needs is the Non-Cash Food Assistance Program (BPNT). The Social Service of Batu Bara Regency in determining the acceptance of Non-Cash food assistance has so far been using conventional methods. This makes it less than optimal in determining which people are eligible for this selection of food aid recipients, especially the priority of several people whose names have been registered with the Batu Bara Regency Social Service. In doing this election calculation does not use specific criteria so that the alternatives obtained are not as expected. Besides that, it takes time that is not fast in determining decisions and the results are slow because it must be done by holding a meeting between employees and the head of the department which causes the results of the decision to be not on target. So the Social Service of Batu Bara Regency needs a decision support system to provide alternative choices and make it easier to determine prospective Beneficiary Families (KPM) participants to determine decision assessments for Non-Cash Food Aid Reception. The method used is by collecting data on filling out forms given to village communities and using the implementation of the Simple Additive Weighted (SAW) method as a decision support system in receiving non-cash food assistance at the Batu Bara District Social Service. The results of this research are the best with the highest score with a number of criteria, the chosen one is the name Lestari, who deserves to be recommended as receiving non-cash food assistance, there are also several other names based on the ranking in the calculation of this SPK
Penerapan Metode Single Exponential Smoothing (SES) dalam Peramalan Jumlah Ikan
Authors: Lisnawati Nindi , Syafwan Havid , Nehe Nurkarim
Published: January 2023

The fisheries sector is a sector that is one of the factors that can support activities and the Indonesian economy. Fishery resources, especially those in the sea, are natural resources that are freely used by anyone. In carrying out fishing business in Asahan Regency, there has been a cycle of ups and downs from the last ten years, so that the fish supply is not in accordance with its needs. Besides that, it takes a long time to find out the number of fish according to the origin of the catch if there is no technique used. Because this cycle occurs in fish production, it is not yet known how much fish production in the coming year will meet their needs, whether it will increase or decrease, the Government and fishermen in Asahan must be able to take policies to get solutions to these problems. So we need a method to predict the number of fish catches in order to know the predictive value in the next period by using calculations to find the error value for each value using the Single Exponetial Smoothing (SES) method. The results of the study obtained a prediction of the number of fish, namely in the July 2022 period 676836.19 (Kg) with a MAPE value of 3.38%, which value was greater in May 2022 and smaller than June 2022, the Asahan District Fisheries Service must meet the number of fish. in stock of their needs
Sistem Pendukung Keputusan Menentukan Pegawai Teladan Menerapkan Metode Weighted Product (WP)
Authors: Fazry Muhammad Choirul , Helmiah Fauriatun , Sudarmin Sudarmin
Published: January 2023

The sub-district government is the government that channels the aspirations of the people from the village/kelurahan to the district and is led by a sub-district head. A camat must be able to regulate and direct the apparatus to carry out quality government services. One of the methods used by the sub-district head to improve quality services is to determine exemplary employees of the sub-district government. This method aims to determine the level of quality of the apparatus in the sub-district office. Apparatus assessment was also carried out by Simpang Empat District to determine the level of quality of the apparatus in this sub-district office. However, the current assessment is still done manually on the assessment sheet and is still subjective, because there are no aspects of the assessment used in the assessment of this exemplary employee. Asahan Regency has a lot of undeveloped potential. From the potential of abundant natural resources, but in human resources there is still very little this is due to the lack of a sense of discipline in the sub-district apparatus in the Asahan area. So it is necessary to have a decision support system in performance appraisal in order to foster morale in the sub-district apparatus. This is what makes researchers want to do research using the Weighted Product (WP) method. The criteria used in this study are attendance, loyalty, attitude and task completion. In this research, we succeeded in applying the Weighted Product method in employee decision making, namely alternative A11 on behalf of Eva Sartika as the number 1 exemplary employee at the Simpang Empat subdistrict office.
Penerapan Metode Dempster Shaper Pada Sistem Pakar Diagnosa Penyakit Diabetes Mellitus
Authors: Aandanu Aandanu , Hutahaean Jeperson , Rahayu Elly
Published: January 2023

Penyakit Diabetes Mellitus (DM) dapat didiagnosa berdasarkan data fakta ataupun gejala yang dialami pengguna sistem dan kadang gejala awal yang dialami pasien penyakit DM masih biasa saja sehingga dianggap dalam kondisi masih sehat.  Dengan memperhatikan data fakta ataupun gejala-gejala yang dialami, diharapkan sistem ini dapat mendiagnosa tipe pada penyakit DM, sehingga gangguan atau penyakit dapat terdeteksi lebih awal dan penangannya. Terutama pasien yang ada di Rumah Sakit Umum Abdul Manan Simatupang Kisaran perlu ditangani dengan cepat karena berdasarkan jumlahnya cukup banyak pada setiap tahunnya. Kemajuan sistem pakar dapat mengatasi permasalahan ini yaitu dengan merancang sebuah sistem komputer berbasis web yang terintegrasi dengan database dan bahasa pemrograman seperti PHP-MySQL sehingga dapat membantu penderita untuk mendiagnosa gejala-gejala dan tipe penyakit tersebut. Tujuan dari penelitian ini adalah untuk membangun sebuah sistem pakar untuk mendiagnosa penyakit Diabetes Mellitus berbasis web. Aplikasi sistem pakar dalam pengambilan keputusan ini menggunakan metode Bayes dalam menghadapi suatu permasalahan, sering ditemukan jawaban yang tidak memiliki kepastian penuh. Peluang atau probalitas ini dapat berupa hasil suatu kejadian. Pada analisa permasalahannya sehingga didapatkan persentasi dari tipe penyakit tersebut.  Hasil dari implementasi sistem yaitu sistem memberikan pilihan berupa gejala-gejala yang harus dipilih oleh pasien berdasarkan gejala yang dialami oleh pasien dan hasil dari proses tersebut adalah penyakit diabetes gestasional dengan bobot lebih tinggi dari penyakit diabetes lainnya yaitu bobot =1.66. Sistem juga akan memberikan informasi dalam penanganan penyakit diabetes tersebut
Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Kerusakan Sepeda Motor Berbasis Web
Authors: Ilyas Mhd , Hutagalung Jhonson Efendi , Suparmadi Suparmadi
Published: January 2023

Repair motorbikes in the workshop, there are still some beginner technicians who do not really understand looking for damage to motorbikes so they have to ask senior technicians at the workshop often. For this reason, it is necessary how to diagnose damage to motorcycle vehicles by knowing the types of damage, symptoms of damage, characteristics of damage, then diagnosis and alternative solutions to problems are needed. Most of the damage to motorbikes occurs due to negligence in carrying out maintenance on the motorbike itself, whether it is due to the busyness of the user or lack of knowledge in the maintenance of the motorbike used. The inference model used in making this expert system is forward chaining, while the search technique uses depth first search. Determination in diagnosing expert systems is done through a consultation process between the system and the user. In system testing, the results obtained are ECU System malfunction based on novice technician answers to system questions. By using the IF-THEN rule to obtain a solution for motorcycle damage