Abstract:Abstract: In data mining, we can use symptoms suffered by patients for a reference in classifying positive and negative Covid-19 patients using data mining. Random Forest and logistic regression are two data mining algorithms…
ithms with high accuracy, precision, and sensitivity in data classification. This study compares the random forest and the logistic regression algorithm - where we use the lasso and ridge regulations - on classifying positive and negative Covid-19 patients based on their symptoms. From 5434 data used in the data set, the evaluation results show that the random forest algorithm is the best in terms of accuracy, precision, and sensitivity compared to other algorithms, while the logistic regression algorithm with ridge regulation is the worst. The random forest algorithm is the most reliable in classifying patients with positive Covid-19, while the logistic regression algorithm with ridge regulation is the least reliable. Also, the random forest algorithm is the most reliable in classifying patients with negative Covid-19, while the logistic regression algorithm with lasso regulation is the least reliable.
Keywords: classification;covid-19;data mining;logistic regression;random forest.
Abstrak: Dalam data mining, kita dapat menggunakan gejala yang diderita pasien sebagai acuan dalam mengklasifikasikan pasien positif dan negatif Covid-19 menggunakan data mining. Random forest dan logistic regression adalah dua algoritma data mining yang memiliki akurasi (accuracy), presisi (precision), dan sensitivitas (recall) tinggi dalam klasifikasi data. Penelitian ini membandingkan algoritma random forest dan logistic regression - di mana kami menggunakan regulasi lasso dan ridge - dalam mengklasifikasikan pasien positif dan negatif Covid-19 berdasarkan gejalanya. Dari 5434 data yang digunakan dalam data set, hasil evaluasi menunjukkan bahwa algoritma random forest adalah yang terbaik dalam hal akurasi, presisi, dan sensitivitas dibandingkan dengan algoritma lainnya, sedangkan algoritma logistic regression dengan regulasi ridge adalah yang terburuk. Algoritma random forest paling andal dalam mengklasifikasikan pasien positif Covid-19, sedangkan algoritma logistic regression dengan regulasi ridge merupakan algoritma yang paling tidak tidak dapat diandalkan. Selain itu, algoritma random forest paling andal dalam mengklasifikasikan pasien dengan Covid-19 negatif, sedangkan algoritma logistic regresssion dengan regulasi lasso merupakan yang paling tidak dapat diandalkan.
Kata kunci: covid-19;data mining;klasifikasi;logistic regression;random forest.
Abstract:This research aims to determine the effect of Debt To Asset Ratio, Debt To Equity Ratio, Total Asset Turnover and Current Ratio on Return On Equity in Mining Sub-Sector Companies Listed on the Indonesia Stock Exchange. The…
he research sample was 10 banking companies listed on the Indonesia Stock Exchange from 2015 to 2018. Data testing was carried out using the multiple linear regression analysis method. The results showed that partially the Debt to Asset Ratio variable had no effect on Return On Equity, seen from the results of the significant value 0.271 > 0.05 and the tcount (1.119) < ttable (2.02809), the Debt to Equity Ratio variable has no effect on Return On Equity seen from the results of the significant value 0.362> 0.05 and the value of tcount (0.924) < ttable (2.02809), the Total Asset variable Turnover has a significant effect on Return On Equity seen from the results of significant values 0.000 <0.05 and tcount (4.696) > ttable (2.02809), and the Current Ratio variable has no effect on Return On Equity seen from the results of the significant value of 0.455 > 0.05 and the value of tcount (0.755) < ttable (2.02809), Simultaneously that the value of sig. F of 0.000 < significant level of 0.05 (5%) and the value of Fcount (6.259) > Ftable (2.64).This means that it can be concluded that the variables Debt to Asset Ratio, Debt to Equity Ratio, Total Asset Turnover and Current Ratio have a significant effect on Return On Equity. Adjusted Rsquare value or coefficient of determination is 0.350. This result means that 35.0% of the variance or change in Return On Equity can be explained by variations of DAR, DER, TATO and CR while the rest (65.0%) is explained by other causes outside this research model.
Abstract:Abstract. This study aims to determine the difference in adversity quotient between students who learn to use the Autograph learning media and students who receive conventional learning. The formulation of the problem in…
in this study is "Is there a difference between the adversity quotient of students who learn to use Autograph learning media and students who receive conventional learning?". This research is a quasi-experimental research, where the teacher plays a direct role in the learning process and the researcher acts as an observer. The subjects in this study were students of class VIII MTs Al-Arifin Rahuning totaling 100 people and as a sample of class VIII-1 totaling 28 people. While the object of this research is the adversity quotient of students towards learning mathematics. Collecting data in this study using observation sheets and adversity quotient. To find out the results of this study, it was carried out using the t test and to determine whether or not there were differences in the adversity quotient of students towards learning mathematics. Based on the results of data analysis carried out, it was concluded that there was a difference in the adversity quotient between students who learned to use the Autograph learning media and students who received conventional learning with a tcount= 8.29 greater than ttable at the 5% significance level and significant 1% of 2.14 and 2.96.
Keyword: Autograph, Adversity Quotient, Mathematic education
Abstrak. Penelitian ini bertujuan untuk mengetahui perbedaan adversity quotient antara siswa yang belajar menggunakan media pembelajaran Autograph dan siswa yang mendapatkan pembelajaran konvensional. Rumusan masalah dalam penelitian ini adalah “Apakah ada perbedaan antara adversity quotient siswa yang belajar menggunakan media pembelajaran Autograph dengan siswa yang mendapatkan pembelajaran konvensional?”. Penelitian ini merupakan penelitian eksperimen semu, dimana guru berperan langsung dalam proses pembelajaran dan peneliti bertindak sebagai pengamat. Subjek dalam penelitian ini adalah siswa kelas VIII MTs Al-Arifin Rahuning yang berjumlah 100 orang dan sebagai sampel kelas VIII-1 yang berjumlah 28 orang. Sedangkan objek penelitian ini adalah adversity quotient siswa terhadap pembelajaran matematika. Pengumpulan data dalam penelitian ini menggunakan lembar observasi dan adversity quotient. Untuk mengetahui hasil penelitian ini dilakukan dengan menggunakan uji t dan untuk mengetahui ada tidaknya perbedaan adversity quotient siswa terhadap pembelajaran matematika. Berdasarkan hasil analisis data yang dilakukan, disimpulkan bahwa terdapat perbedaan adversity quotient antara siswa yang dibelajarkan menggunakan media pembelajaran Autograph dan siswa yang mendapatkan pembelajaran konvensional denganhitung= 8,29 lebih besar dari ttabel sebesar 5 % tingkat signifikansi dan signifikan 1% sebesar 2,14 dan 2,96.
Abstract:Abstract: This research is motivated by the problem of low knowledge of pregnant women about the fulfillment of nutritional needs during pregnancy at the Posungandu Anggrek Urung Pane Asahan Regency. Pregnant women rarely…
y carry out nutrition consultations to nutritionists regarding food patterns and types of food that should be consumed during pregnancy because of the limited consultation time available at the Posyandu Anggrek. Therefore, the nutritionists try to make an application to meet the nutritional needs of pregnant women with a website-based cooper method with the aim to facilitate pregnant women in finding information about nutritional intake through food menu selection. The cooper method is a way to calculate the number of calories needed by pregnant women. The method used for system development is the system development life cycle method, while the tools for modeling use UML (Unifield Modeling Language). The programming languages used for making this application are PHP and MySQL for databases. Based on the results of the study, pregnant women can consult online as a means of providing a second solution in an effort to meet the nutritional needs of pregnant women and the fetus.
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Keywords:Nutritional Needs of Pregnant Women, Cooper Method, UML.
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Abstrak: Penelitian ini dilatarbelakangi oleh permasalahan rendahnya pengetahuan ibu hamil akan pemenuhan kebutuhan gizi selama kehamilan di Posyandu Anggrek Urung Pane Kabupaten Asahan. Ibu hamil jarang melakukan konsultasi gizi kepada ahli gizi mengenai pola makanan dan jenis makanan yang harus dikonsumsi selama masa kehamilan karena keterbatasan waktu konsultasi yang ada di Posyandu Anggrek. Oleh karna itu, pihak gizi berupaya membuat aplikasi pemenuhan kebutuhan gizi ibu hamil dengan metode cooper berbasis website dengan tujuan untuk memudahkan ibu hamil dalam mencari informasi tentang asupan gizi melalui pemilihan menu makanan. Metode cooper adalah cara mengitung jumlah kalori yang dibutuhkan oleh ibu hamil. Metode yang digunakan untuk pengembangan sistem adalah metode daur hidup pengembangan sistem, sedangkan tools untuk pemodelannya menggunakan UML (Unifield Modeling Languange).Bahasa pemrograman yang digunakan untuk pembuatan aplikasi ini adalah PHP dan MySQL untuk database. Berdasarkan hasil penelitian, ibu hamil dapat melakukan kosultasi secara online sebagai sarana pemberian solusi kedua dalam upaya pemenuhan kebutuhan gizi ibu hamil dan janin.
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Kata Kunci : Kebutuhan Gizi Ibu Hamil, Metode Cooper, UML.
Abstract:This Classroom Action Research (CAR) aims to improving the speaking ability of fifth grade students of SD Negeri 010145 Labuhan Ruku in the 2018/2019 school year in particular. This classroom action research was carried…
out in two cycles, in the fifth grade students of Public Elementary School 010145 Labuhan Ruku 2018/2019 academic year, which amounted to 16 people as the research subjects. Data collection methods used in this study are: 1) tests, 2) observations, and 3) documentation. Descriptive statistical data analysis techniques are used to analyze quantitative data, namely mean values, while the qualitative data analysis is used as a groove model. The results of the study indicate that the use of storytelling methods can enhance learning activities and speaking skills.
Abstract:This study wants to explore and discover directly why the divorce case due to early marriage is increasing in the city range, and the factors that led to the rise of divorce cases in the City range.This study included field…
eld research (field research) with qualitative types, which is a primary research where data is collected by direct observation and interviews with competent parties as well as through the documentation of the data contained in the Office of Religious Court of range. While the approach used in this study is a normative approach, which is based on the texts of the Qur'an, Al-Hadith and Qawa'idulUsuliyah and juridical approach, which is based on Islamic law and the Marriage Act of 1974.This research data analysis method using an inductive pattern, the analysis departing from concrete facts or events in the field and then drawn the conclusion of a general nature. And, this research is descriptive-analytical, the research attempted to describe divorce as a result of early marriage Kota range, then analyzed to find the essence of the problem of research.
Keywords: marriage at a young age, divorce, religious courts
Abstract:Abstract: Obesity is a major health problem that significantly impacts quality of life and can trigger various chronic diseases. Early detection of obesity levels is crucial for public health management, but traditional…
methods such as BMI often have limitations. Solution: This study proposes a data mining-based approach using feature engineering techniques to improve the accuracy of obesity classification. The purpose of this study is to classify obesity levels and compare the performance of Naïve Bayes and K-Nearest Neighbor (KNN) methods. This research method includes preprocessing stages, feature extraction using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), feature selection using CFS and Chi-Square, classification with Naïve Bayes and KNN, and model evaluation using accuracy and confusion matrix on 2,111 data sets from Kaggle. The results of this study show that on the original data without LDA, KNN achieves a higher accuracy (88.41%) than Naïve Bayes (63.82%). However, after using LDA, the accuracy of Naïve Bayes increased sharply to 93.61%, surpassing KNN's 92.19%. The study concluded that KNN was more effective on raw data, while Naïve Bayes was more optimal when combined with LDA-based dimensionality reduction.
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Keyword:  classification_ naïve_bayes; data mining; k-nearest neighbor; obesity; LDA; PCA.
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Abstract: Obesitas merupakan salah satu masalah kesehatan utama yang berdampak signifikan pada kualitas hidup dan dapat memicu berbagai penyakit kronis. Deteksi dini tingkat obesitas sangat krusial untuk manajemen kesehatan masyarakat, namun metode tradisional seperti BMI seringkali memiliki keterbatasan. Solusi: Penelitian ini mengusulkan pendekatan berbasis penambangan data (data mining) menggunakan teknik rekayasa fitur untuk meningkatkan akurasi klasifikasi tingkat obesitas. Tujuan penelitian ini adalah untuk mengklasifikasikan tingkat obesitas dan membandingkan kinerja metode Naïve Bayes dan K-Nearest Neighbor (KNN). Metode penelitian ini mencakup tahap prapemrosesan, ekstraksi fitur menggunakan Principal Component Analysis (PCA) dan Linear Discriminant Analysis (LDA), seleksi fitur menggunakan CFS dan Chi-Square, klasifikasi dengan Naïve Bayes dan KNN, serta evaluasi model menggunakan accuracy dan confusion matrix pada 2.111 data dari Kaggle. Hasil penelitian ini menunjukkan bahwa pada data asli tanpa LDA, KNN mencapai akurasi lebih tinggi (88,41%) dibandingkan Naïve Bayes (63,82%). Namun, setelah penggunaan LDA, akurasi Naïve Bayes meningkat tajam menjadi 93,61%, melampaui KNN yang mencapai 92,19%. Kesimpulan dari penelitian ini adalah KNN lebih efektif pada data mentah, sedangkan Naïve Bayes menjadi lebih optimal ketika dikombinasikan dengan reduksi dimensi berbasis LDA.
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Keywords: klasifikasi naïve bayes; k-nearest neighbor; obesitas; PCA; penambangan data; LDA
Abstract:Abstract: The development of information technology is very important, especially in computer networks. The lack of information related to the development of computer networks, particularly Local Area Networks (LAN), necessitates…
essitates this research to improve network performance. Therefore, this necessitates analysis and planning of computer networks in offices and companies, which has been done previously. This study aims to evaluate the application of computer networks, particularly the development of LAN in previous studies. The solution to this problem is one of the factors behind this study. Meanwhile, the research method used is Systematic Literature Review (SLR) using journals published in 2022–2025 from Google Scholar. The results of the research obtained are references in the form of advantages, disadvantages, and recommendations for development in the majority of schools. Therefore, this study emphasises the importance of technological development as the basis for internet implementation. Thus, the conclusion is that the use of LAN networks is highly recommended for use in institutions, one of which is educational institutions or schools.
 Keyword: internet; local area network (LAN); technological development
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Abstrak: Perkembangan teknologi informasi sangat penting terutama pada jaringan komputer, minimnya informasi terkait perkembangan jaringan komputer khususnya Local Area Network (LAN) membuat diperlukannya penelitian ini untuk meningkatkan performa jaringan. Oleh karena itu hal tersebut melatar belakangi diperlukannya analisis dan perencanaan pada sebuah jaringan komputer pada kantor maupun perusahaan yang telah dilakukan sebelumnya. Penelitian ini bertujuan untuk mengevaluasi penerapan Jaringan Komputer utamanya pada perkembangan LAN pada penelitian sebelumnya. Solusi dari permasalahan tersebut menjadi salah satu factor dilakukannya penelitian ini. Sedangkan, metode penelitian yang digunakan yaitu Systematic Literature Review (SLR) dengan menggunakan jurnal yang terbit pada 2022 – 2025 dari Google Scholar. Hasil penelitian yang didapatkan adalah referensi berupa keunggulan, kelemahan, dan rekomendasi perkembangan pada mayoritas sekolah. Oleh karena itu, penelitian ini menekankan pentingnya perkembangan teknologi sebagai dasar dalam penerapan internet. Maka dari itu kesimpulannya bahwa penggunaan jaringan LAN sangat direkomendasikan untuk digunakan pada instansi salah satunya adalah instansi pendidikan atau sekolah.
Kata kunci: internet; local area network (LAN); perkembangan teknologi
Abstract:Abstract: Basua Coffee is a culinary business facing challenges in managing sales and inventory, which are still done manually. This results in data discrepancies between recorded stock levels and actual conditions, delays…
ys in sales reporting, and potential transaction recording errors. The purpose of this study is to design and build a web-based sales and inventory information system that can improve operational efficiency and data accuracy at Basua Coffee. The research method used is a software engineering method with a waterfall approach, including the stages of needs analysis, system design, implementation, and testing. Data collection techniques were carried out through observation, interviews, and documentation studies. System analysis was carried out using UML (Unified Modeling Language) modeling, while system testing was carried out using the black box testing method. The results of this study indicate that the designed information system is able to automatically record sales transactions, monitor inventory in real-time, and produce accurate sales and stock reports. Thus, this system can assist management in making faster and more accurate decisions.
Keyword: basua coffe; inventory; information system; sales.
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Abstract : Basua Coffee merupakan sebuah usaha kuliner yang menghadapi tantangan dalam mengelola penjualan dan inventaris yang masih dilakukan secara manual. Hal ini menyebabkan terjadinya ketidaksesuaian data antara tingkat stok yang tercatat dengan kondisi aktual, keterlambatan pelaporan penjualan, dan potensi kesalahan pencatatan transaksi. Tujuan penelitian ini adalah merancang dan membangun sistem informasi penjualan dan inventaris berbasis web yang dapat meningkatkan efisiensi operasional dan akurasi data di Basua Coffee. Metode penelitian yang digunakan adalah metode rekayasa perangkat lunak dengan pendekatan waterfall, meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan studi dokumentasi. Analisis sistem dilakukan dengan pemodelan UML (Unified Modeling Language), sedangkan pengujian sistem dilakukan dengan metode pengujian black box. Hasil penelitian ini menunjukkan bahwa sistem informasi yang dirancang mampu mencatat transaksi penjualan secara otomatis, memantau inventaris secara real-time, dan menghasilkan laporan penjualan dan stok yang akurat. Dengan demikian, sistem ini dapat membantu manajemen dalam mengambil keputusan yang lebih cepat dan akurat.
Keywords: basua coffe; inventaris; penjualan; sistem informasi.
Abstract:Abstract : This study aims to design and build a web-based Patient Administration Information System at the ATHA Perdagangan Clinic to improve the effectiveness and efficiency of patient administration services. This system…
tem was developed to replace the manual processes currently used, such as patient registration, drug data management, room data management, and recording inpatient and outpatient payment transactions, which are prone to errors and time-consuming. The system development method includes needs analysis, system design using Visual Basic 2010 and Microsoft Access Database, user interface implementation, and system testing. The results of the study indicate that the system built is able to speed up the administration process, minimize data input errors, and produce fast, accurate, and structured reports. The implementation of this system makes it easier for administrative staff to manage patient data, while improving the quality of service at the ATHA Perdagangan Clinic.
Keywords: patient administration; visual basic 2010; database access.
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Abstrak: Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Administrasi Kepasienan berbasis web pada Klinik ATHA Perdagangan guna meningkatkan efektivitas dan efisiensi layanan administrasi pasien. Sistem ini dikembangkan untuk menggantikan proses manual yang selama ini digunakan, seperti pencatatan pasien, pengelolaan data obat, pengaturan data ruang, serta pencatatan transaksi pembayaran rawat inap dan rawat jalan, yang rentan terhadap kesalahan dan memakan waktu. Metode pengembangan sistem meliputi analisis kebutuhan, perancangan sistem menggunakan Visual Basic 2010 dan Database Microsoft Access, implementasi antarmuka pengguna, serta pengujian sistem. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu mempercepat proses administrasi, meminimalkan kesalahan input data, serta menghasilkan laporan yang cepat, akurat, dan terstruktur. Implementasi sistem ini memberikan kemudahan bagi petugas administrasi dalam mengelola data pasien, sekaligus meningkatkan kualitas pelayanan di Klinik ATHA Perdagangan.
Kata Kunci: administrasi pasien; visual basic 2010; database access