1,720,970 research outputs found
PREDICTIVE MODELING OF BROILER CHICKEN PRODUCTION USING THE NAIVE BAYES CLASSIFICATION ALGORITHM
Full text linkSerious challenges are faced by broiler chicken farmers in Seumirah Village, Nisam Antara Subdistrict, North Aceh Regency, in their efforts to create high-quality and productive chickens. These difficulties not only impact the farmers' income but also result in recurring losses every year. This research aims to design a system using the Naive Bayes Classifier algorithm to assess the capacity and classify production types based on specific criteria such as population, age, depletion, FCR (Feed Conversion Ratio), IP (Index Performance), and BW (Body Weight). The system aims to classify broiler chicken production as either increasing (profitable) or decreasing (unprofitable). In the development of this predictive system, the PHP programming language is employed, with a MySQL database as the data storage medium. The results of this broiler chicken production prediction system have proven effective in providing information in the form of profit or loss reports based on the harvest results for each monthly period. The implementation of this system is expected to assist in optimizing farmers' production management, increasing business profitability, and providing better guidance for future business decisions. The classification results using the Naive Bayes method indicate an accuracy rate of 86,67 and error rate of 13,3%
MODEL PREDIKSI PREVALENSI STUNTING DI PROVINSI ACEH MENGGUNAKAN PENDEKATAN REGRESI DENGAN EVALUASI KINERJA BERBASIS MSE DAN RMSE
No full textThis study aims to develop a predictive model for stunting prevalence in Aceh Province using regression-based approaches, including Linear Regression, Polynomial Regression, Ridge Regression, and Lasso Regression. The dataset comprises stunting prevalence rates from 2019 to 2023 across 21 districts and cities in Aceh Province. The analysis projects prevalence trends up to 2031 and evaluates the model performance using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). The results indicate that Polynomial Regression demonstrates the best predictive performance, with an average MSE of 0.0012 and RMSE of 0.0317, outperforming Linear Regression (MSE = 0.0039, RMSE = 0.0621), Ridge Regression (MSE = 0.0187, RMSE = 0.1324), and Lasso Regression (MSE = 0.0039, RMSE = 0.0621). The prediction results suggest a gradual decline in stunting prevalence across Aceh Province up to 2031, with an average annual decrease of approximately 1.2%. Therefore, Polynomial Regression can be considered a reliable and accurate model for analyzing and forecasting regional stunting prevalence trends
Profile Matching in Government Scholarship Acceptance System for Student in Aceh Utara
Full text linkThe scholarship program held to ease the burden of students in taking the study period, especially in terms of costs. This research conducted at SMP Negeri 7 Sawang – Paya Gaboh in Sawang sub-district, Kabupaten Aceh Utara. This research discusses the provision of educational scholarships from the government of Kabupaten Aceh Utara for students. Therefore, the researcher intends to offer a solution to determine the scholarship recipients at SMP Negeri 7 Sawang by applying the Profile Matching method to find the criteria for receiving the scholarship. The purpose of this research is to design and build a system to determine students who are entitled to receive the scholarships by applying the Profile Matching method based on core data and secondary factors. The implementation of the results of the criteria for the scholarship recipients will be processed using the Profile Matching method. It will produce an output that later assist the selection team in finding the scholarship recipients. The results of the research indicate that the use of the Profile Matching algorithm in finding scholarship recipients works according to the expected categories. The student with the highest score on rank is the first alternative that deserves to be the recipient of the government scholarship aid of Kabupaten Aceh Utara. The system is builtand implemented using PHP programming language
Profile Matching in Government Scholarship Acceptance System for Student in Aceh Utara
Full text linkThe scholarship program held to ease the burden of students in taking the study period, especially in terms of costs. This research conducted at SMP Negeri 7 Sawang – Paya Gaboh in Sawang sub-district, Kabupaten Aceh Utara. This research discusses the provision of educational scholarships from the government of Kabupaten Aceh Utara for students. Therefore, the researcher intends to offer a solution to determine the scholarship recipients at SMP Negeri 7 Sawang by applying the Profile Matching method to find the criteria for receiving the scholarship. The purpose of this research is to design and build a system to determine students who are entitled to receive the scholarships by applying the Profile Matching method based on core data and secondary factors. The implementation of the results of the criteria for the scholarship recipients will be processed using the Profile Matching method. It will produce an output that later assist the selection team in finding the scholarship recipients. The results of the research indicate that the use of the Profile Matching algorithm in finding scholarship recipients works according to the expected categories. The student with the highest score on rank is the first alternative that deserves to be the recipient of the government scholarship aid of Kabupaten Aceh Utara. The system is builtand implemented using PHP programming language
Purity Algorithm in Determining System of The Productivity of Rice Harvesting Areas in Kabupaten Aceh Utara
Full text linkPurity is an algorithm thatcan be used to measure the purity value of the data. This research aims to implement the purity algorithm to provide the information on the area of rice harvest productivity in Kabupaten Aceh Utara. The highest purity value indicates the highest harvest productivity area. With lower Purity value indicates lower harvest productivity areas. The data used in this research obtained from the Dinas Pertanian dan Pangan Kabupaten Aceh Utara in 2015-2019, which consists of 26 sub-districts. The results of this research indicate that the areas that are very productive in producing rice in Aceh Utara are based on planting area (ha), harvested area (ha), productivity (kw/ha), production (ton), and production presentation using Purity. In 2015, the highest purity value was in Muara Batu sub-district with a value of 0.742189869. In 2016, the highest purity value was in Sawang sub-district with a value of 0.732474998. In 2017, the highest purity value was in Sawang sub-district with a value of 0.732862423. In 2018, the highest purity value was in Muara Batu sub-district with a value of 0.742319507. In 2019, the highest purity value was in Tanah Luas sub-district of 0.735502499. The system created on web using the PHP programming language
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Purity Algorithm in Determining System of The Productivity of Rice Harvesting Areas in Kabupaten Aceh Utara
Full text linkPurity is an algorithm thatcan be used to measure the purity value of the data. This research aims to implement the purity algorithm to provide the information on the area of rice harvest productivity in Kabupaten Aceh Utara. The highest purity value indicates the highest harvest productivity area. With lower Purity value indicates lower harvest productivity areas. The data used in this research obtained from the Dinas Pertanian dan Pangan Kabupaten Aceh Utara in 2015-2019, which consists of 26 sub-districts. The results of this research indicate that the areas that are very productive in producing rice in Aceh Utara are based on planting area (ha), harvested area (ha), productivity (kw/ha), production (ton), and production presentation using Purity. In 2015, the highest purity value was in Muara Batu sub-district with a value of 0.742189869. In 2016, the highest purity value was in Sawang sub-district with a value of 0.732474998. In 2017, the highest purity value was in Sawang sub-district with a value of 0.732862423. In 2018, the highest purity value was in Muara Batu sub-district with a value of 0.742319507. In 2019, the highest purity value was in Tanah Luas sub-district of 0.735502499. The system created on web using the PHP programming language
ANALISIS KINERJA ALGORITMA HONEY ENCRYPTION DAN ALGORITMA BLOWFISH PADA PROSES ENKRIPSI DAN DEKRIPSI
Full text linkAlgoritma Honey Encryption dan algoritma Blowfish merupakan dua buah algoritma kriptografi yang dapat digunakan dalam proses enkripsi dan dekripsi. Honey Encryption merupakan salah satu algoritma yang masih baru dalam ilmu kriptografi, untuk itu perlu dilakukan analisis kinerja algoritma tersebut pada proses enkripsi dan dekripsi. Berdasarkan studi perbandingan yang telah dilakukan diperoleh hasil bahwa jika ditinjau proses enkripsi dan dekripsinya, algoritma Honey Encryption jauh lebih efektif dan efisien dibandingkan dengan algoritma Blowfish dari segi keamanan dan tingkat kompleksitas enkripsi dan dekripsinya.
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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