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All Journal Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series JTAM (Jurnal Teori dan Aplikasi Matematika) Inferensi Madaniya Sewagati
Hidayatul Khusna
Department Of Statistics, Institut Teknologi Sepuluh Nopember
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Inferensi

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Selection Of Shipping Services Using Analytical Hierarchy Process (AHP) Method Dzakiyah Agustin Puspitasari; Febriola Rania Trihelmina; Maya Kencana Wulandari; Anindiatie Parastikasari; Hidayatul Khusna
Inferensi Vol 4, No 2 (2021): Inferensi
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v4i2.10923

Abstract

Online business has come along way since these early days, where people can purchase items from the comfort of their own homes and work place. This causes people to choose to shop online rather than go to offline store, thus, the freqeuncy of delivery services keep getting higher day by day. In determining the right shipping service, every people has a different needs. This study aims to identify factors that affect customers in choosing shipping services. The variable includes three dimension which are alternative, criteria, and sub-criteria. The number of respondents for this study is 72. Four major shipping service companies in Indonesia were selected to be the alternative includes JNE, J&T, SiCepat and Pos Indonesia. The analysis shows that there are 5 criteria and 2 sub criteria for each criteria, that can be used to measure user preference of choosing shipping services. In this study it was found that the value of consistency ratio in each matrix paired is  0,1 so that the AHP method inthis study has optimal results. From the analysis, each criterion was weighted to rank the customers preference of choosing a shipping services relatively of each other. The best delivery service selected is J&T with The criteria sorted from most important to least important are security, quality of service, price, area coverage and distance.
Evaluasi Performa dari Diagram Kontrol Multivariat berbasis Independen Principal Component Analysis (PCA) Muhammad Ahsan; Hidayatul Khusna
Inferensi Vol 1, No 2 (2018): Inferensi
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.62 KB) | DOI: 10.12962/j27213862.v1i2.6733

Abstract

Diagram kontrol multivarian akan efektif ketika jumlah karakteristik kualitas yang terlibat tidak terlalu besar. Sejumlah besar karakteristik kualitas dapat mengurangi kemampuan untuk mendeteksi setiap perubahan dalam suatu proses dan juga menyebabkan masalah multikolinieritas. Untuk mengatasi masalah ini, integrasi Principal component analysis (PCA) dan diagram kontrol digunakan. PCA adalah metode yang dapat mengubah sejumlah besar variabel berkorelasi menjadi beberapa komponen utama yang tidak berkorelasi tanpa kehilangan informasi. Paper ini akan fokus untuk mengevaluasi kinerja diagram kontrol multivariat berdasarkan Independen PCA menggunakan Average Run Length (ARL) melalui studi simulasi. Dari proses simulasi dapat dilihat bahwa Independen PCA memiliki probabilitas kinerja yang mirip untuk mendeteksi false alarm untuk semua jenis korelasi dan jumlah karakteristik. Namun, kemampuan untuk mendeteksi pergeseran menurun ketika terjadi peningkatan korelasi dan jumlah karakteristik kualitas.
Co-Authors Agus Suharsono Ahsan, Muhammad Anindiatie Parastikasari Dedy Dwi Prastyo Diaz Fitra Aksioma Dwitiya Khansa N Dzakiyah Agustin Puspitasari Febriola Rania Trihelmina Ilham Maharsa P Imaduddin Wafi Inka Ramadhani Putri Karina Endriana Grace Alvionita Lutfi Nur Aini Marita Qori'atunnadyah Maya Kencana Wulandari Mohammad Hafidz Al Habib muhammad mashuri Siti Azizah Suhartono Suhartono Suhermi, Novri Wibawati Wibawati Wibawati Wibawati Wibawati Wilda Melia Udiatami