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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Abadimas Adi Buana J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Inferensi
Salman Alfarizi Pradana Andikaputra
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Optimasi Produk Plastik pendekatan Taguchi Mixed Level pada Faktor Interaksi Injeksi Molding Muhammad Ahsan; Galuh Kusuma W; Salman Alfarizi
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 16 No 1 (2023): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol16.no1.a5781

Abstract

Penelitian parameter injeksi molding diperlukan untuk meminimalkan produk cacat penyusutan (shrinkage). Diharapkan perbaikan penelitian yang mengintegrasikan metode Taguchi untuk mengoptimalkan parameter injeksi serta interaksi yang mungkin terjadi. Berdasarkan uraian tersebut permasalahan yang dibahas adalah bagaimana mendapatkan parameter terbaik untuk optimasi produk plastik menggunakan pendekatan taguchi mixed level dengan 6 faktor  faktor interaksi injeksi molding dan variasi level. Metode Taguchi merupakan suatu metode pengendalian kualitas sebelum proses berlangsung, orthogonal array yang akan digunakan L18(2135) sesuai dengan jumlah faktor sebanyak 6 dan menggunakan mixed level. Variabel respon shrinkage diukur dari plastik tray yang terbuat dari campuran polimer atau poliblend. Faktor yang digunakan yaitu dengan memvariasikan injection speed (kecepatan injeksi), melting temperature (suhu leleh), injection pressure (tekanan injeksi), holding pressure (tekanan penahanan), holding time (waktu penahanan) dan cooling time (waktu pendinginan). Parameter optimal tanpa efek interaksi dengan kondisi optimum adalah kecepatan injeksi (90 %rpm), suhu leleh (240 °C), tekanan injeksi (110 bar), tekanan penahanan (96 bar), waktu penahanan (5 detik), dan pendinginan waktu (10 detik). Parameter optimal dengan efek interaksi kondisi optimum yaitu suhu leleh (240 ° C), tekanan injeksi (110 bar), tekanan penahanan (80 bar), waktu penahanan (5 detik), dan waktu pendinginan (10 detik). Kontribusi parameter dengan interaksi adalah suhu leleh (56,65%), interaksi suhu leleh dan tekanan injeksi (15,75%), waktu pendinginan (11,12%), dan kekuatan tekanan (7,83%).
MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH Syahzaqi, Idrus; A., Salman Alfarizi P.; Fithriasari, Kartika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0727-0734

Abstract

Poverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side. East Java Province is used as the object of research because this province has the highest economic growth in Java Island after DKI Jakarta province in the last 5 years. However, East Java is also included in the province with the highest number of poor people on the island of Java. Several independent variables that are thought to influence the percentage of poverty in East Java are the Open Unemployment Rate (TPT), Life Expectancy Rate (AHH), Average Years of Schooling (RLS), Population Density, and GRDP Rate. Sources of research data come from the East Java BPS website and East Java Open Data. Data analysis was performed using a semiparametric regression approach. The results of the analysis obtained good performance values, namely the MSE value of 12,2156 and the R2 value of 98,71%.
Comparing the Performance of Multivariate Hotelling’s T2 Control Chart and Naive Bayes Classifier for Credit Card Fraud Detection Prasetya, Ichwanul kahfi; Isnawarty, Devi Putri; Fahmi, Abdullah; Andikaputra, Salman Alfarizi Pradana; Wibawati, Wibawati
Inferensi Vol 7, No 1 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i1.18755

Abstract

Credit card is a transaction tool using a card which is a substitute for legitimate cash in transactions. The use of computer technology is needed for various kinds of electronic transactions. In the world of technology, the term machine learning is not new and technological developments are increasingly rapid in recent years. Statistical process control method (SPC) is one of the measuring instruments used to improve the performance of public services. Hotelling T^2 control chart is a method in SPC that can be used to control the process. Methods that are widely used in the detection and classification of documents one of them is Naive Bayes Classifier (NBC) which has several advantages, among others, simple, fast and high accuracy. Those two methods will be used to detecting o2utlier of this dataset. The study used the credit card fraud registry with some PCA as independent variables. The size of fraud transaction is very small which represented only 0.172% of the 284,807 transactions. This research will use Area Under Curve (AUC) as the performance goodness test. A comparison of the accuracy of NBC and Hotelling's T2 predictions shows that the performance of the T2 Hotelling method is better in detecting outliers than the NBC method
PELATIHAN DAN PENDAMPINGANANALISIS DATA BAGI MGMP BAHASA INGGRIS KABUPATEN SAMPANG Salman Alfarizi Pradana Andikaputra; Dedi Rahman Siolimbona2; Ahmad Hatip; Sulis Janu Hartati; Haerussaleh; Ilmiya; Anisa Nuraini; Nuril Huda Mohammad
Jurnal Abadimas Adi Buana Vol 9 No 02 (2026): Jurnal Abadimas Adi Buana
Publisher : LPPM Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/abadimas.v9.i02.a10861

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan bekerja sama Kegiatan pengabdian ini bertujuan meningkatkan kompetensi guru MGMP Bahasa Inggris Kabupaten Sampang dalam pengolahan dan analisis data pendidikan menggunakan SPSS. Pelatihan dilaksanakan dengan metode blended learning yang mencakup pengenalan data, analisis korelasi, uji beda rata-rata, dan regresi sederhana. Sebanyak 38 guru mengikuti kegiatan ini dengan antusias. Hasilnya menunjukkan peningkatan kemampuan guru dalam menganalisis dan memanfaatkan data untuk pembelajaran berbasis bukti serta terbentuknya kelompok tutor sebaya yang memperkuat kolaborasi dan keberlanjutan pengembangan kompetensi. Ditunjukkan oleh peningkatan kompetensi tutor sebaya berdasarkan hasil pre-test dan post-test, serta efektivitas metode blended learning dengan ketercapaian materi 75% dan partisipasi aktif 90%, yang mencerminkan bahwa kombinasi sesi daring dan luring mampu meningkatkan fleksibilitas dan pemahaman peserta.
Co-Authors Ahsan, Muhammad Anisa Nuraini Dedi Rahman Siolimbona2 Fahmi, Abdullah Fithriasari, Kartika Haerussaleh Hatip, Ahmad Idrus Syahzaqi Ilmiya Isnawarty, Devi Putri Nuril Huda Mohammad Prasetya, Ichwanul kahfi Sulis Janu Hartati Wardani, Galuh Kusuma Wibawati Wibawati