scholarly journals Optimasi Algoritma Naive Bayes Menggunakan Metode Cross Validation Untuk Meningkatkan Akurasi Prediksi Tingkat Kelulusan Tepat Waktu

2018 ◽  
Vol 1 (2) ◽  
pp. 56-63
Author(s):  
Yohakim Benedictus Samponu ◽  
Kusrini Kusrini
Keyword(s):  
Cross Validation ◽  
Naive Bayes ◽  
Positive Impact ◽  
Naïve Bayes ◽  
Conducting Research ◽  
Using Data ◽  
The University ◽  
Validation Testing

Education at this time is an important requirement in facing the demands of an increasingly advanced era in technolo-gy. To compensate this, the existing educational standards in universities must also be improved, this is a bit much affect the pattern of teaching from universities that produce qualified graduates who can compete in the world of work later and indirectly give a positive impact on the university itself. Qualified graduates are of course not only depending on the role of a university but also majors and quality of education as long as students are still in high school / vocational school also plays an important role. Results of the on-time graduation rate prediction research can be used as an information to im-prove the quality and optimization of the education system but it requires a maximum degree of accuracy. This research predicts on time graduation rates by conducting analysis using data mining classification techniques. Naïve Bayes algo-rithm that are used for this research will be discussed as a reference in conducting research. The author performs a series of different experimental scenarios / cross validation to perform comparisons that can give a difference in the level of ac-curacy gained from this research. The results of this research indicate that with the addition of Cross Validation testing scenario there is an increase of 2% accuracy of the test.

scholarly journals Uji Performa Algoritma Naïve Bayes untuk Prediksi Masa Studi Mahasiswa

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Irkham Widhi Saputro ◽  
Bety Wulan Sari
Keyword(s):  
Data Mining ◽  
Cross Validation ◽  
Naive Bayes ◽  
Confusion Matrix ◽  
Naïve Bayes ◽  
Study Program ◽  
New Students ◽  
Using Data ◽  
The Many ◽  
Fold Cross Validation

Universitas AMIKOM Yogyakarta adalah salah satu perguruan tinggi yang memiliki ribuan mahasiswa baru khususnya pada prodi Informatika. Pada tahun 2012 tercatat ada 1009 mahasiswa baru, dan pada tahun 2013 juga tercatat ada sebanyak 859 mahasiswa baru. Namun sayangnya, dari sekian banyak mahasiswa hanya sekitar 50% saja yang dapat lulus dengan tepat waktu. Data tersebut untuk membuat sistem klasifikasi menggunakan teknik data mining dengan metode Naïve Bayes. Dataset yang akan digunakan sebanyak 300 data yang bersumber dari data alumni angkatan 2012, dan 2013 dengan masing-masing data sebanyak 150. Data yang diperoleh memiliki 144 mahasiswa dengan keterangan lulus tepat waktu, dan 156 mahasiswa dengan keterangan lulus tidak tepat waktu. Proses pengujian akan dilakukan menggunakan metode 10-Fold Cross Validation, dan Confusion Matrix. Hasil pengujian menunjukkan bahwa rata-rata performa dari model Naïve Bayes mempunyai nilai akurasi sebesar 68%, nilai precision sebesar 61.3%, nilai recall sebesar 65.3%, dan nilai f1-score sebesar 61%. Nilai performa dari model dapat dipengaruhi oleh dataset yang digunakan untuk pembuatan model.Kata Kunci — data mining, Naïve Bayes, K-Fold Cross Validation, Confusion MatrixAMIKOM Yogyakarta University is one of the colleges that has thousands of new students, especially in the Informatics study program. In 2012 there were 1009 new students, and in 2013 there were 859 new students. But unfortunately, of the many students only around 50% can graduate on time. The data is to make the classification system using data mining techniques with the Naïve Bayes method. The dataset will be used as much as 300 data sourced from alumni data of 2012, and 2013 with each data as much as 150. The data obtained has 144 students with information passed on time, and 156 students with graduation information not on time. The testing process will be carried out using the 10-Fold Cross Validation, and Confusion Matrix method. The test results show that the average performance of the Naïve Bayes model has an accuracy value of 68%, precision value is 61.3%, recall value is 65.3%, and f1-score is 61%. The performance value of the model can be influenced by the dataset used for modeling.Keywords — data mining, classification, Naïve Bayes, graduation time

Strategic Role of Zakat in Multidimensional Quality of Life in Sijunjung, Indonesia

2018 ◽  
Vol 15 (1) ◽  
pp. 55-72
Author(s):  
Herlin Hamimi ◽  
Abdul Ghafar Ismail ◽  
Muhammad Hasbi Zaenal
Keyword(s):  
Quality Of Life ◽  
Positive Impact ◽  
Wealth Distribution ◽  
Absolute Poverty ◽  
Before And After ◽  
The Status ◽  
Being There ◽  
The Impact

Zakat is one of the five pillars of Islam which has a function of faith, social and economic functions. Muslims who can pay zakat are required to give at least 2.5 per cent of their wealth. The problem of poverty prevalent in disadvantaged regions because of the difficulty of access to information and communication led to a gap that is so high in wealth and resources. The instrument of zakat provides a paradigm in the achievement of equitable wealth distribution and healthy circulation. Zakat potentially offers a better life and improves the quality of human being. There is a human quality improvement not only in economic terms but also in spiritual terms such as improving religiousity. This study aims to examine the role of zakat to alleviate humanitarian issues in disadvantaged regions such as Sijunjung, one of zakat beneficiaries and impoverished areas in Indonesia. The researcher attempted a Cibest method to capture the impact of zakat beneficiaries before and after becoming a member of Zakat Community Development (ZCD) Program in material and spiritual value. The overall analysis shows that zakat has a positive impact on disadvantaged regions development and enhance the quality of life of the community. There is an improvement in the average of mustahik household incomes after becoming a member of ZCD Program. Cibest model demonstrates that material, spiritual, and absolute poverty index decreased by 10, 5, and 6 per cent. Meanwhile, the welfare index is increased by 21 per cent. These findings have significant implications for developing the quality of life in disadvantaged regions in Sijunjung. Therefore, zakat is one of the instruments to change the status of disadvantaged areas to be equivalent to other areas.

Klasifikasi Tahap Kematangan Pisang Ambon Berdasarkan Warna Menggunakan Naive Bayes

2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah
Keyword(s):  
Naive Bayes ◽  
Fruit Production ◽  
Naïve Bayes ◽  
Primary Data ◽  
Banana Fruit ◽  
Bayes Method ◽  
Classification Image ◽  
Average Accuracy ◽  
The Government

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra

Zmiana modelu zarządzania i nadzoru nad jakością kształcenia w szkolnictwie wyższym. Perspektywa doświadczeń Republiki Federalnej Niemiec

2020 ◽  
pp. 137-149
Author(s):  
Krzysztof Szewior
Keyword(s):  
Quality Of Education ◽  
Research Approach ◽  
University Management ◽  
Strategic Partner ◽  
Higher Education Reforms ◽  
The University ◽  
The Impact ◽  
Desk Research

The author focuses on the manner and effects of German higher education reforms that have changed the model of university management. The point of reference is the quality of education and its role, how universities ensure it, and how it is verified through evaluation and accreditation. These elements divide the article into two parts: a part about quality and a part about evaluation and accreditation. The analysis includes the impact of global processes and Europeanization. The research approach is characteristic for public policies, sciences of management and quality. The theories used in this article: the theory of systems and neo-institutionalism, as well as perspectives: the university as an active strategic partner, entrepreneurial university, the third role of universities. The publication is based on desk research and on the analysis of processes.

scholarly journals REFLEKSI EPISTIMOLOGI DALAM METODOLOGI PENELITIAN (Suatu Kontemplasi atas Pekerjaan Penelitian)

2013 ◽  
Vol 5 (2) ◽  
Author(s):  
Saifullah Saifullah
Keyword(s):  
Research Methodology ◽  
Positive Impact ◽  
Research Process ◽  
Central Position ◽  
Building Science ◽  
Scientific Disciplines ◽  
Science Community ◽  
Quality Of Research

<p>Research methodology is the application of epistemology in philosophical which is realized by logico hypotetico verificative-deducto hypothetico verificative. The results of the evaluation of the quality of the research methodology that gave rise buildings recently become a standard formula valid and tested public. In this context it is necessary scrutiny of the functioning and the importance of pre usability, and value the benefits of the research process so that the quality of research produced a positive impact on building science researchers. The role of the researcher holds a central position of being able to adjust the ground circumstances. Benefit value for the benefit of life as the goal of research in theory and practical should be explicitly and implicitly always accompanies every step of research. A consequence of the value of the benefits of scientific research which is undertaken is delivering research results to the user community. The use of research methodologies in the study strongly influenced the extent of the ability of researchers and scientists at the clump science community are able to map the identity of the building a distinctive methodology of scientific disciplines that is useful for subsequent research.</p> <p>Metodologi Penelitian merupakan penerapan epistimologi secara filsafati yang diwujudkan dengan logico  hypotetico  verificative-deducto  hypothetico  verificative.  Hasil  evaluasi terhadap  kualitas  bangunan  metodologi  penelitian  yang  memunculkan  formula  baru menjadi standar yang valid dan teruji publik. Dalam konteks ini maka perlu pencermatan tentang fungsi dan kegunaan akan pentingnya pra, proses dan nilai manfaat riset agar kualitas riset yang dihasilkan berdampak positif pada bangunan keilmuan peneliti. Peran peneliti  memegang  posisi  sentral  karena  mampu  menyesuaikan  situasi  dan  kondisi lapangan. Nilai kemanfaatan bagi kemaslahatan hidup sebagai tujuan riset secara teoritis dan praktis sebaiknya secara eksplisit dan implisit selalu menyertai setiap langkah riset. Konsekuensi ilmiah dalam nilai manfaat riset yang dilakukan adalah menyampaikan hasilhasil riset ke masyarakat pengguna. Penggunaan metodologi penelitian dalam riset sangat dipengaruhi sejauhmana kemampuan peneliti dan komunitas ilmuan pada rumpun ilmu mampu memetakan jati diri bangunan metodologi disiplin keilmuan yang khas sehingga bermanfaat bagi peneliti berikutnya.</p>

scholarly journals Algoritma Naïve Bayes Untuk Memprediksi Kredit Macet Pada Koperasi Simpan Pinjam

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Diah Puspitasari ◽  
Syifa Sintia Al Khautsar ◽  
Wida Prima Mustika
Keyword(s):  
Data Mining ◽  
Predictive Value ◽  
Naive Bayes ◽  
False Negative ◽  
False Negative Rate ◽  
True Positive Rate ◽  
Naïve Bayes ◽  
Data Mining Technique ◽  
Application Form ◽  
Using Data

Cooperatives are a forum that can help people, especially small and medium-sized communities. Cooperatives play an important role in the economic growth of the community such as the price of basic commodities which are relatively cheap and there are also cooperatives that offer borrowing and storing money for the community. Constraints that have been felt by this cooperative are that borrowers find it difficult to repay loan installments, causing bad credit. Because the cooperative in conducting credit analysis is carried out in a personal manner, namely by filling out the loan application form along with the requirements and conducting a field survey. Therefore there is a need for an evaluation to be carried out in lending to borrowers. To minimize these problems, it is necessary to detect customer criteria that are used to predict bad loans and to determine whether or not the elites are eligible to take credit using data mining. The data mining technique used is classification with the Naive Bayes method. Based on testing the accuracy of the resulting model obtained accuracy level of 59%, sensitivity (True Positive Rate (TP Rate) or Recall) of 46.80%, specificity (False Negative Rate (FN Rate or Precision) of 69.81%, Positive Predictive Value (PPV) of 57.89%, and Negative Predictive Value (NPV) of 59.67%.

scholarly journals The Role of Strategic Thinking Patterns in the Quality of Administrative Decision Making

2018 ◽  
Vol 2 (2) ◽  
pp. 1-21
Author(s):  
Ahlam Ibrahim Wali ◽  
Muzaffar Hamed Ali ◽  
Ahmed Azan Sharif
Keyword(s):  
Decision Making ◽  
Strategic Thinking ◽  
Managerial Decision ◽  
Holistic Thinking ◽  
Descriptive Approach ◽  
University Leaders ◽  
The University ◽  
Diagnostic Thinking

The aim of the research is to identify the role of strategic thinking patterns (holistic, abstract, diagnostic, schematic) among the university leaders in the faculties of the University of Salahuddin / Erbil. In order to reach this goal, (The type of holistic thinking, the pattern of abstract thinking, the pattern of diagnostic thinking, the pattern of schematic thinking), while the third axis of the dependent variable relates to the quality of administrative decision making. The questionnaire was distributed to 100 respondents Aclasia and the meanings of the deans and heads of scientific departments, has been pursuing the analytical descriptive approach as a way to research was the use of statistical methods SPSS to get to the search results, and research found a set of results 1-There are levels of (types of strategic thinking and quality of administrative decision-making) among the university leaders in faculties of Salahuddin University / Erbil. 2-There is a positive positive relationship between all types of strategic thinking and the quality of administrative decision-making 3- There is a significant impact of the types of strategic thinking in the quality of administrative decision - making. Based on the findings, the researchers recommended that the university leaders at the university be given an interest in strategic thinking as an important factor in the quality of managerial decision making

scholarly journals Entrepreneurial intention of engineering students: the role of motivations and barriers

2021 ◽  
Vol 5 (2) ◽  
pp. first
Author(s):  
Bich Huy Hai Bui ◽  
Minh Tien Pham
Keyword(s):  
Engineering Students ◽  
Positive Impact ◽  
Entrepreneurial Intention ◽  
Statistical Regression ◽  
Internal Factors ◽  
University Of Technology ◽  
Entrepreneurial Motivations ◽  
Using Data ◽  
The Impact

The purpose of this study is to explore perceptions of entrepreneurial motivations and barriers and to assess their influence on the entrepreneurial intention of engineering students. Using data of 350 respondents who are students at HCMC University of Technology, VNU-HCM, the study identifies the key motives and barriers towards entrepreneurship. The data are then subjected to statistical regression in order to identify causal relationships between the motivations, barriers, and entrepreneurial intention. The results indicate that creativity, independence, and economic motivation have a positive impact on entrepreneurial intention and that the most important motivator for the entrepreneurial intention of engineering students is creativity. On the contrary, lack of knowledge is the only barrier (an internal barrier) that impedes the students' intention of entrepreneurship. These results imply that the students' entrepreneurial intention is more affected by internal factors (for both motivations and barriers) than external factors. In terms of the relative power of the effects of motives and barriers on students' entrepreneurial intention, the results suggest that the impact of motivations is generally more powerful than that of barriers. The findings have important implications for educators and policymakers.

scholarly journals Sistem Informasi Posyandu Ibu Hamil dengan Penerapan Klasifikasi Resiko Kehamilan Menggunakan Metode Naïve Bayes

2018 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Qomariyatul Hasanah ◽  
Anang Andrianto ◽  
Muhammad Arief Hidayat
Keyword(s):  
Cross Validation ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Training Set ◽  
Test Set ◽  
Fold Cross Validation

Sistem informasi posyandu ibu hamil dapat mengelola data kesehatan ibu hamil yang berkaitan dengan faktor resiko kehamilan. Faktor resiko kehamilan berdasarkan ketentuan Kartu Skor Poedji Rochyati (KSPR) digunakan bidan untuk menentukan resiko kehamilan dengan memberikan skor pada masing-masing parameter. KSPR memiliki kelemahan tidak dapat memberikan skor pada parameter yang belum pasti sehingga jika belum diketahui dengan pasti maka dianggap tidak terjadi. Konsep membaca pola data yang diadopsi dari teknik datamining menggunakan metode klasifikasi naive bayes dapat menjadi alternatif untuk kelemahan KSPR tersebut yaitu dengan mengklasifikasikan resiko kehamilan. Metode naïve bayes menghitung probabilitas parameter tertentu berdasarkan data pada periode sebelumnya yang telah ditentukan sebagai data training, berdasarkan hasil perhitungan tersebut dapat diketahui resiko kehamilan secara tepat sesuai parameter yang telah diketahui. Metode naïve bayes dipilih karena memiliki tingkat akurasi yang cukup tinggi daripada metode klasifikasi lainnya. Sistem informasi ini dibangun berbasis website agar dapat diakses secara mudah oleh beberapa posyandu yang berbeda tempat. Sistem dibangun mengadopsi dari model Waterfall. Sistem informasi posyandu ibu hamil dirancang dan dibangun dengan tiga (3) hak akses yaitu admin, bidan dan kader dengan masing-masing fitur yang dapat memudahkan penggunanya. Hasil dari penelitian ini adalah sistem informasi posyandu ibu hamil dengan penerapan klasifikasi resiko kehamilan menggunakan metode naïve bayes, dengan tingkat akurasi ketika menggunakan 17 atribut didapatkan 53.913%, 19 atribut didapatkan 54.348%, , 21 atribut didapatkan 54.783%, dan 22 atribut didapatkan 56.957%. Tingkat akurasi klasifikasi diperoleh menggunakan metode pengujian menggunakan Ten-Fold Cross Validation dimana training set dibagi menjadi 10 kelompok, jika kelompok 1 dijadikan test set maka kelompok 2 hingga 10 menjadi training set. Kata Kunci: Posyandu, Resiko Kehamilan, Waterfall, Datamining, Klasifikasi, Naïve bayes

scholarly journals Estratégias de Construções de Comitês de Classificadores Multirrótulos no Aprendizado Semissupervisionado Multidescrição

2017 ◽  
Vol 24 (2) ◽  
pp. 71
Author(s):  
Wilamis Kleiton Nunes Da Silva ◽  
Araken De Medeiros Santos
Keyword(s):  
Cross Validation ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Binary Relevance ◽  
Fold Cross Validation

Classificação multirrótulo é um problema de aprendizado supervisionado no qual um objeto pode estar associado a múltiplas classes. Dentre os diferentes métodos de classificação multirrótulo destacam-se os métodos BR (Binary Relevance), LP (Label Powerset) e RAkEL (RAndom k-labELsets). O trabalho realizou um estudo sobre as construções de comitês de classificadores multirrótulos construídos através da aplicação de técnicas de aprendizado semissupervisionado multidescrição. Os comitês de classificadores utilizados nos experimentos foram o Bagging, Boosting e Stacking; como métodos de transformação do problema utilizamos os métodos BR, LP e Rakel; na classificação multirrótulo semissupervisionada multidescrição foi utilizado o Co-Training; foram aplicados cinco diferentes algoritmos como classificadores base: k-NN (k Vizinhos Mais Próximos), J48 (Algoritmo de Indução de Árvores de Decisão), SVM (Máquinas de Vetores Suporte), NB (Naive Bayes) e o JRip (Extended Repeated Incremental Pruning). Todos os experimentos utilizaram a metodologia de validação cruzada com 10 grupos (10-fold Cross-Validation) e o framework MULAN, o qual é implementado utilizando o WEKA. Para os tamanhos dos comitês de classificadores adotamos os valores 3, 5, 7 e 9. Para a análise dos resultados foi utilizado o teste esta- tístico de Wilcoxon. Ao final das análises experimentais, verificou-se que a abordagem semissupervisionado apresentou resultados competitivos em relação ao aprendizado supervisionado, uma vez que as duas abordagens utilizadas apresentaram resultados estatisticamente semelhantes.   

Sign in / Sign up

Export Citation Format

Share Document