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Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

Supply Chain Management is a set of forms for the effective integration of suppliers, manufacturers, warehouses and warehouses, so that goods are produced and distributed in the right quantity, in the right position, at the right time, to minimize costs and provide services to client satisfaction. Currently, many companies are implementing Supply Chain Management to increase the competitiveness of companies with one another. Supply Chain Management is a strategic competitive tool for companies that make competing logical problems a strategy to win the competition. The purpose of making this paper is to explore the budget chain management section in terms of systems and operations within the company that enable it to provide value to consumers in terms of vacuum and speed of service. So that consumers will feel the superiority of the product even though it is physically somewhat similar to other products

Stunting occurs due to malnutrition which inhibits growth in toddlers. Stunting can also be caused by problems during pregnancy. This study aims to identify the risk of stunting during pregnancy and determine pregnant women who are at risk of this condition. By identifying and prioritizing critical factors that contribute to stunting in children under five, this research is expected to assist policy makers in developing effective solutions to reduce stunting rates. Handling the problem of stunting is important for the Government because it relates to the future generation of Golden Indonesia 2045. This study evaluates appropriate actions or therapies to reduce the risk of having children born with the potential to experience stunting. In the process of selecting pregnant women who are at risk of giving birth to children with the risk of stunting, a selection procedure is carried out that considers several factors such as the mother's age, mother's nutritional intake, arm circumference, hemoglobin level, parity, birth spacing, height, and mother's body mass index (BMI). The analytic network process (ANP) approach is used to determine the outcome of the selection process. The ranking is determined based on the calculation of the weighting of the criteria and sub-criteria in the ANP method. Based on the results of calculations using the ANP approach, PM 1 pregnant women get the highest score and are ranked first. These pregnant women are considered to have the highest risk of giving birth to babies with stunting risk.

Monitoring realizes efforts to improve the quality of health services. To obtain information on patient condition data during treatment. The monitoring process is done manually. So that it has an impact on the service and condition of the patient during treatment. The design of monitoring the patient's body temperature and heart during treatment with IoT can be controlled through the NodeMCU sensor ESP8266, MLX9014, MAX30100 sensor and Arduino IDE software program. Furthermore, it can detect the patient's temperature and the patient's heart rate during treatment. And processed by the NodeMCU ESP8266, the data from the two sensors is displayed on the SSD1306 OLED LCD and also to the smartphone of the medical officer on duty via Blynk. In order for the tool to work properly and optimally, it is necessary to adjust the pin placement so that it can work optimally. The problem of internet connection interference causes delays, resulting in a mismatch between the measurement of the test equipment and the standard tool. Data values are taken with an accuracy of 70%-93% for the MAX30100 sensor, for the temperature sensor it is close to optimal with a value that is read on a standard tool with an accuracy of 97%-99%.

Tujuan pemecahan masalah penjual atau wira niaga keliling (traveling salesman problem, TSP) adalah menentukan lintasan atau rute dengan total jarak atau biaya yang paling minimum. Penelitian ini berkenaan dengan proses optimalisasi pencarian alternatif lintasan atau rute pada masalah TSP. Penjual mencari rute atau lintasan untuk mengunjungi semua kota yang ada sebanyak satu kali kunjungan. Proses optimalisasi pencarian alternatif menggunakan algoritma backtracking. Terdapat lima buah kasus TSP yang akan digunakan yaitu TSP1 memiliki 4 buah kota dengan 6 lintasan (jalur), TSP2 memiliki 5 buah kota dengan 10 lintasan, TSP3 memiliki 6 buah kota dengan 15 lintasan, TSP4 memiliki 7 buah kota dengan 21 lintasan, dan TSP5 memiliki 8 buah kota dengan 28 lintasan. Dari hasil pengujian diperoleh algoritma runut-balik (backtracking) dapat digunakan untuk menghasilkan jumlah alternatif lintasan yang lebih sedikit jika dibandingkan dengan total kombinasi alternatif lintasan. Semakin besar jumlah node (kota) dan jumlah lintasan (jalur) maka prosentase pengurangan variasi (alternatif) akan lintasan semakin besar.

This research made for applying adaptive tutoring system for programming languages learning.Adaptive tutoring system that developed have ability to present learning material, providing quiz problem,test problem and pretest. System has ability to present learning material accords ably student materialmastery. Material representation bases prerequisite material probability that accounted by bayes'stheorem, meanwhile student material mastery is accounted bases time that is utilized to study material,assess quiz that is reached and student test point. Developed system gets web basis to be able to beaccessed by a lot of student on one time and learning get at call been done. In this research is concludedthat adaptive tutoring system can help student does navigation learning material, recommending learningaim and presents learning material thread.

Genetic Algorithm is a kind of search algorithm based on the mechanics of natural selection and genetics. This algorithm can  search  for a global optimum  solution using multiple path and  treat  integer problem naturally. This paper presents application of Genetic Algorithm for determining the size, location, type, and number of capacitors to be placed on radial distribution system. The objective is to minimize the peak power losses and energy losses in the distribution system considering the capacitor cost. The algorithm was implemented in Delphi programming language and tested for a realistic physically­existing feeder to show its feasibility and capabilities.

Kinerja sebuah sistem informasi berbasis komputer dan web terletak pada banyak faktor. Salah satunya adalah ketidaksiapan provider TI sebagai bagian yang mendistribusikan informasi ke public dalam mempersiapkan segala sesuatu kebutuhannya menjadi hal yang sangat penting. PPD di lingkungan Dinas Kota Semarang sebagai sebuah instansi yang bertugas untuk mengelola penerimaan siswa baru, mencoba menerapkan sistem penerimaan siswa baru online berbasis web pada tahun ajaran 2005/2006. Problema ketepatan dan ketelitian dalam penghitungan nilai yang akan menjadi dasar rangking seseorang dalam pendaftaran peserta didik. Pembuatan rangking peserta didik secara langsung, cepat, tepat dan akurat sehingga tidak terjadi kesalahan dan dapat dipertanggungjawabkan. Analisis Kinerja Sistem Informasiyang dilakukan di lingkungan Kantor Dinas Pendidikan Kota Semarang dan sekolah yang telah disebutkan. Laporan yang dianalisis dari responden di lingkungan kantor Dinas Pendidikan Kota Semarang dan output yang ditampilkan di website

Decision Support System couple the intellectual resource of individuals with the capabilities of the computer to improve the quality of decision. It's a computer based support system for management decision makers who deal with semi-structured problem. An integrated decision support system for use in an machine mollen product has been developed. It incorporates a linear Programming model that represents the contribution optimal and optimizes the production water pump and mollen machine. An optimization model is performed using a management scient model called linear programming approach in older to determine media selection. To use this model, the DSS needs ti interface with another software. Mathematical Programming is a technique used in mathematical models, particularly optimization models, to assist in decision making. The Simplex Method is "a systematic procedure for generating and testing candidate vertex solutions to a linear program." (Gill, Murray, and Wright, p. -137) It begins at an arbitrary corner of the solution set. At each iteration, the Simplex Method selects the variable that will produce the largest change towards the minimum (or maximum) solution. The  development of computer programs to be used as Decision Support Systems involves several tasks such as mathematical modeling, technical and data collection and development of a user friendly interface.

Decision support systems based on fuzzy logic may be used to solve problems to find optimum solution on  fuzziness environmental. The differences with old decision support system is we can find optimum solution that more realities, because in fuzzy logic not use absolute  truthful right or false. Goal of this article is how to construct model base on decision support system based on  fuzzy logic.