Forecasting is a term used to forecast or predict the business that we run to see the direction in the future which uses historical data as the main reference. An appropriate strategy is needed to manage the production of salt raw materials properly, namely through sales forecasting. PT Budiono Madura Bangun Persada is a company engaged in salt processing with the brands "Anak pintar (AP)" and "Kapal Container (KC)" where the amount of production experiences uncertainty, namely an increase or decrease, this results in an uncertain amount of raw materials. This study aims to predict the exact amount of salt production in a certain period. The amount of data used is the period November 2020 - April 2021 as much as. The final result of this forecasting model is the best using predictions on day 6 for both AP salt and KC salt, with an MSE value of 290.71 for KC salt and an MSE value of 843.08 for AP salt

Monitoring child development is vital in Indonesia due to its large child population and varying socio-economic and geographical conditions. Malnutrition adversely affects children's growth and development, with ongoing challenges in remote areas despite government efforts. This study addresses the need for accurate nutritional status classification to improve intervention strategies. This study applies the Support Vector Machine (SVM) classification method to analyze and classify nutritional status of toddlers using data from 473 samples collected from health centers in Bangkalan Regency. The classification includes categories such as Good Nutrition, Excess Nutrition, Obesity, and Risk of Excess Nutrition. The SVM model achieved an accuracy of 76% in predicting nutritional status.

Building Permit (BP) is one of the authorities that can be given by local governments to people who will construct buildings, both residential and non-residential buildings.The requirements for applying for BP for residential buildings are different from those for non-residential buildings.The criteria for selecting the BP granting authority are given to each region.One of the regions, namely Sampang Regency, in selecting the granting of a non-residential BP, considered several things including the completeness of the files, building layout, designation and intensity of buildings, building architecture, land suitability, environmental impact control, and community approval.The decision to grant a Nonresidential BP which was taken into consideration in the assessment, as well as the involvement of two regional apparatus as admins and appraisers caused the decision-making process to be less efficient and lack transparency.Therefore, a decision support system is needed using the Fuzzy Analytical Network Process (FANP) method to assist the decision-making process for granting non-residential BP.The FANP method is used to determine the importance of the criteria used to determine the granting of a non-residential BP permit.Based on the results of the tests that have been carried out, the accuracy of the system obtained is 97.12%.With this decision support system, it can speed up the decision-making process for granting non-residential BP with fairly accurate results.

Corn is one type of food crop commodity in Indonesia. Malang Regency is one of the producers that ranks 10th in corn production in the East Java region. People are very interested in planting corn because this crop commodity has many benefits so as to make the demand for production increase. There was a significant increase in market demand, but the uncertain amount of production made the supply of corn plants unable to be fulfilled properly. In this study, it predicted the demand for corn by using the Backpropagation Neural Network algorithm in Malang Regency. The data in this study were obtained from the Department of Agriculture and Food Security of East Java Province starting from 2007-2020 every month using maize data from the Malang area. The results showed that the backpropagation algorithm produced an MSE value of 0.00004178.

East Java is one of the producers of food crops in Indonesia. Some food crop commodities in East Java Province are corn, soybeans, peanuts, sweet potatoes, and cassava. These food crops have many benefits to make the demand for production increase. The uncertain amount of food crop production will be a problem for the Department of Agriculture and Food Security of East Java Province in determining a policy. To overcome this problem, a system is needed to predict the production of food crops in East Java. This study compares the Backpropagation algorithm and Elman Recurrent Neural Networks (ERNN). The data in this study were obtained from the Department of Agriculture and Food Security of East Java Province starting from 2007-2020 per quarter. The result of this research is that trial scenario 1 produces the best MSE value of 0.00000063 on the Backpropagation algorithm compared to ERNN which only gets an MSE value of 0.00000627. Trial scenario 2 produces the best MSE value, which is 0.000000003 in the Backpropagation algorithm with gradient descent momentum, this is also better when compared to ERNN which gets an MSE value of 0.00000407. It can be concluded that the best algorithm in this study is Backpropagation with gradient descent momentum because it produces MSE values with good prediction results from all algorithms compared.

The government’s policy in dealing with the Covid-19 pandemic that has entered Indonesia has generated a response from the public, including Twitter social media users. Responses or comments from the community are also very religious, ranging from positive responses in supporting government policies in dealing with this Covid-19 to negative reactions in the form of criticism of the government, which is considered to have underestimated this virus. We use sentiment analysis to determine whether an opinion or comment containing a statement is positive or negative. The comments are rated by Indonesian language experts. In this study, the sentiment analysis process uses the TF-IDF method for word weighting, the information gain method for feature selection, and the Naive Bayes method for classifying public opinion. The results of this study indicate that the Naive Bayes algorithm is quite good in the text data classification model, with the highest accuracy, precision, and recall levels of 87.0%, 89.0%, and 98.0%, respectively. The average accuracy, precision, and recall levels are 86.2%, 87.6%, and 97%, respectively. This research can provide accurate and valuable information for the community regarding the response of Twitter users to the policy of handling Covid-19 in Indonesia.

Acute Respiratory Infections usually attack the respiratory tract of toddlers, both the upper and lower respiratory tracts, because the body's defense system against viruses that cause infection has not yet been formed. And usually, parents will know if the baby's condition is very chronic so that the baby experiences complications. This causes the need for a system that can assist in the early detection of respiratory tract infections. This study proposes the Chi-Square and Naive Bayes (NB) method. The Chi-Square method is a feature selection method to reduce features that have no effect. At the same time, the NB method is a prediction method that performs a simple probability-based identification process based on the application of the Bayes theorem with the assumption of strong independence. The contribution of this study is to determine respiratory tract disease in infants using the chi-square feature selection and the NB method, which can assist parents in detecting respiratory tract infections. From the tests that have been carried out using 120 datasets with 90 as training data and 30 as test data, the accuracy is 75.833%. This proves that the Chi-Square and NB methods are able to identify respiratory tract infections.

Rice is a cultivated plant that is very important for human life because it produces rice in making rice. The need for food always increases this is due to the increasing human population. Therefore, rice cultivation must be maximized. Agricultural land used to grow rice greatly affects the production produced. Different characteristics in each region should be considered in selecting suitable agricultural land. The purpose of this research is to determine and map the suitable areas for rice farming in order to obtain maximum production results. The determination of the feasibility of the location of the farm is based on the assessment of the criteria owned by each region. These criteria include soil type, slope, land area, rainfall, and irrigation or water. The criteria for each area will be processed using the Simple Additive Weighting (SAW) and Weighted Product (WP) methods, the process in this method is to find the weight value for each attribute, then a ranking process is carried out which will produce an optimal alternative, namely a suitable area for agriculture. The contribution of this research is to know the comparison of the SAW method with the WP in the process of determining the best agricultural area for rice plants. In this system using the SAW method, resulting in an accuracy rate of 72%. This is better than using the WP method which only produces an accuracy rate of 50%.

Football is a fun, attractive, entertaining sport and provides satisfaction for the audience. However, Madura United, Indonesia, still not in good condition as the selection of the right players requires a long time. Several studies have overcome many of these problems using decision support systems. however, it has not reached good results. Therefore, this research develops a system using the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The contribution of this research is to create a new framework by integrating AHP and TOPSIS methods with controlling iteration of consistency ratios, and automatic assessment of coaches for the right players’ selection in each position with to make comparison matrices in each criterion. So, a selection system can be supported to make a correct decision in selecting the right players for the team. The test results obtained the accuracy reached an average of 83.9% out of the four trials of the forwards, midfielders, defenders, and goalkeepers. In summary, the test results show the effectiveness of AHP and TOPSIS methods in supporting the decision to select the right football players.

Thesis topic is an inseparable part in the world of tertiary education. Determining the thesis topic becomes a problem for students. The determination of the thesis topic leads to the trend of the topic in the development of computer science. The determination of the topic of thesis for students often ignores their ability to process. Ideally in determining the topic of the thesis, the record of student grades can be an important variable in deciding topics for students, where the student’s grade record is contained in the transcript. Therefore, this study uses the Support Vector Machine (SVM) method in recommending thesis topics by classifying selected subject groups that have been taken by students. The Support Vector Machine method is a classification method of supervision because it requires testing data and training data as a training process at the time of prediction. Support Vector Machine provides an optimal model, which provides a solution with a maximum margin to determine the distance of data to the hyperplane. The test results show an accuracy of 80%.

State universities are the hope of most students who want to continue their education to a higher level after high school / equivalent. To enter college, students must take the selection test held by the desired university. For state universities the selection test is held simultaneously and simultaneously called the SBMPTN (Joint Selection to Enter State Universities). This selection is carried out nationally and the participants are all students who want to get the opportunity to enter a state university. To get results that are as expected, the participants must make some preparations including the Try Out. By doing SBMPTN Try Out, it is expected that participants can compete with other participants and can graduate according to their choice. Try Out can be done at the place of tutoring that holds it or by buying a book containing Try Out questions. Along with the development of Smartphone technology, a prediction system will be created from the results of an Android-based SBMPTN Try Out that will provide information on study programs and universities that are likely to receive. SBMPTN participant candidates can practice questions anywhere and anytime. The method that will be used is the Fisher-Yates Shuffle, which functions to scramble the questions.

Abstract The manually scheduling system is considered less effective and efficient because it requires a long time. Problems will become more complex if the number of components or data used is increasing. The schedule is expected not only not to experience clashes, but also to adjust to some limitations that must be met. Genetic Algorithm is one of the heuristic search algorithms that are very well used in solving optimization problems. The problem of scheduling genetic algorithms is considered to have good performance in finding the optimal solution. Genetic Algorithms implement an evolutionary process by randomly producing chromosomes from each population These chromosomes produce a solution to the problem raised, namely scheduling subjects. The conclusion of this study is to be able to arrange the schedule of subjects efficiently, by overcoming obstacles such as clashing schedules without eliminating the constraints that must be met.

Mobile technology is developing so rapidly the types of games used in mobile devices. Ranging from brain-themed games, sports, to adventure. Android-based games can provide entertainment for players. Brain intelligence in children and even adults can be improved by playing interactive games so that the right brain can work better and function optimally. Library Studies, Game Design, Game Evaluation, Documentation Methods are ways to create Android-based game applications. Android programming language, Unity 3D tool and Blender will produce an Android-Based Interactive game which is useful for adding insight in game making. This game is played easily and interactively so that it can be played by children, teenagers and even adults. This game is played as a single player. This game can be played offline for Android 4.0-based smartphones with an attractive appearance using 3D (Three-Dimensional) graphic display. A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.

Health is an important factor needed by humans. There are many facilities for indicators of human health learning, including through the internet. Health monitoring that can be seen anywhere, in this case, a clinic or hospital with internet technology is one way to monitor the patient's condition and is presented in the form of real-time data. One device that can be online is digital tensimeter, especially for patients in the hypertension community. Health indicator data such as systole, diastole, and heart rate values, are obtained easily so that they can be used to analyze the patient's condition. The method as used is to use the hardware device ESP 8266 from an offline tensimeter device so that the data on the real condition of the patient can be read anywhere. In addition, this device saves the number of computer network nodes to connect to the internet. After the data is read, the data is processed using Fuzzy decision tree to analyze which patients need immediate care. The result is that from 150 measured data, the value of decision tree accuracy with Fuzzy process is obtained at 95%

Optimalisasi kualitas sekolah tergantung pada pemahaman untuk proses belajar mengajar di dalam kelas maupun di luar kelas. sekolah berkualitas menunjukkan kapasitas kemampuan siswa dalam mengotpimalkan program tertentu seperti dalam pembelajaran berlalu lintas. Pelajaran ini difokuskan pada pengamatan mengajar berupa pengenalan kesadaran berlalu lintas. Proses belajar dengan menggunakan pendekatan kualitatif,seperti grounded theory berbasis android belum pernah diperkenalkan pada siswa-siswi sekolah dasar (SD). Pendekatan ini dilakukan dengan tujuan mengenalkan perangkat pembelajaran menjadi solusi baru dalam perkembangan dunia pendidikan sebagai pembelajaran interaktif. Selain itu, penanaman kesadaran berlalu lintas sebaiknya dilakukan sejak dini. Masa anak-anak merupakan fase awal dalam kehidupan manusia untuk memulai sosialisasi eksternal di luar lingkungan keluarga intinya dan pada fase ini anak-anak cenderung lebih mudah untuk menyerap nilai-nilai termasuk pengetahuan berlalu lintas karena pada nantinya akan selalu berinteraksi dengan sistem lalu lintas dan jalan raya dalam menjalankan aktivitasnya. Dengan keterbatasan-keterbatasan tersebut maka khususnya siswa-siswi Kelas II SD sangat membutuhkan metode pembelajaran ini untuk mengenalkan rambu-rambu lalu lintas, khususnya rambu peringatan, larangan, perintah dan petunjuk berbasis android sebagai pembelajaran interaktif, dengan harapan agar dapat memotivasi siswa-siswi dalam membantu belajar memahami dan mengerti konsep-konsep rambu rambu lalu lintas tanpa harus membawa buku dan pengajaran menjadi lebih menarik sehingga dapat memotivasi belajar siswa-siswi SD baik di sekolah maupun diluar sekolah. Selain itu, aplikasi ini juga dapat membantu sekolah menjadi SD yang berkualitas dengan menyiapkan generasi penerus bangsa yang berkualitas sadar akan hukum berlalu lintas.