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All Journal JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Wacana : Jurnal Bahasa, Seni, dan Pengajaran
Oktavian, Aditya
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Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Analisis Bahasa Slang pada Komunitas Waria di Kompleks Pemakaman Kembang Kuning Surabaya: Analysis of Slang Language in the Waria Community at the Kembang Kuning Cemetery Complex in Surabaya Oktavian, Aditya; Widayati, Wahyu; Tobing, Victor Maruli Tua
Wacana : Jurnal Bahasa, Seni, dan Pengajaran Vol 4 No 1 (2020): April 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.632 KB) | DOI: 10.29407/jbsp.v4i1.14812

Abstract

Penelitian ini membahas tentang bentuk kata, makna kata dan perubahan struktur fonologi kata dalam bahasa slang pada komunitas waria di Kompleks Pemakaman Kembang Kuning Surabaya. Tujuan dari penelitian ini adalah (1) mendeskripsikan bentuk kata dalam bahasa slang pada komunitas waria di Kompleks Pemakaman Kembang Kuning Surabaya, (2) mendeskripsikan makna kata dalam bahasa slang pada komunitas waria di Kompleks Pemakaman Kembang Kuning Surabaya, dan (3) mendeskripsikan perubahan struktur fonologi kata dalam bahasa slang pada komunitas waria di Kompleks Pemakaman Kembang Kuning Surabaya. Jenis penelitian ini adalah penelitian deskripsi kualitatif. Sumber data yang diambil oleh peneliti yaitu bahasa slang pada komunitas waria di Kompleks Pemakaman Kembang Kuning Surabaya, dengan data berupa kata slang. Total data keseluruhan berjumlah 71 data. Metode pengumpulan data menggunakan metode simak dan menggunakan teknik dasar yaitu teknik sadap sedangkan teknik lanjutan menggunakan teknik simak bebas libat cakap, teknik simak libat cakap, teknik rekam dan teknik catat. Metode analisis data menggunakan metode agih dan menggunakan teknik dasar yaitu teknik bagi unsur langsung sedangkan teknik lanjutan menggunakan teknik ganti serta menggunakan metode padan dan menggunakan teknik dasar yaitu teknik pilah unsur penentu (PUP) sedangkan teknik lanjutan menggunakan teknik hubung membedakan (HBB). Hasil penelitian adalah sebagai berikut. Pertama, peneliti menemukan bentuk kata slang yaitu; (1) kata dasar, (2) kata berimbuhan, (3) kata ulang, dan (4) kata majemuk. Kedua, peneliti menemukan makna kata slang yaitu; (1) denotatif, dan (2) konotatif. Ketiga, peneliti menemukan perubahan struktur fonologi kata slang yaitu; (1) zeroisasi, (2) anaptiksis, dan (3) metatisis.
Analisis Pemilihan Supplier dengan Metode AHP dan Model QCDFR di PT. Novalindo Sukses Mandiri Oktavian, Aditya; Pradipto, Masri; Borman, Mohammad Riski; Hartini, Sri; Sari, Tri Novita; Farhana, Adinda; Rosalina, Uki Aulia
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v7i1.6474

Abstract

The selection of raw material suppliers affects production efficiency. PT. Novalindo only considers price, neglecting quality, delivery, flexibility, and responsiveness. This study uses AHP based on QCDFR for a systematic solution. The study begins with assessing stainless steel and iron plate suppliers based on QCDFR criteria, followed by the application of AHP to determine the best supplier, calculate criterion weights, and perform consistency testing. The study shows that PT. Yunsung is the best supplier for both iron and stainless steel plates with a weight of 0.504. PT. Bansoek and CV. Mulya rank second and third with weights of 0.290 and 0.170, respectively. PT. Yunsung excels in the quality, cost, and flexibility criteria, while CV. Mulya excels in delivery, and PT. Bansoek excels in responsiveness. The consistency of criterion weightings for both types of plates shows acceptable consistency values of 0.015 and 0.013. This study provides a systematic, data-driven solution for selecting the best supplier for manufacturing companies in the iron and stainless steel plate sector, offering a strategy for evaluating and selecting suppliers across multiple dimensions, including quality, cost, delivery, flexibility, and responsiveness. The study has been able to improve operational efficiency and reduce the risk of supply chain disruptions.
Analisis Pemilihan Supplier dengan Metode AHP dan Model QCDFR di PT. Novalindo Sukses Mandiri Oktavian, Aditya; Pradipto, Masri; Borman, Mohammad Riski; Hartini, Sri; Sari, Tri Novita; Farhana, Adinda; Rosalina, Uki Aulia
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v7i1.6474

Abstract

The selection of raw material suppliers affects production efficiency. PT. Novalindo only considers price, neglecting quality, delivery, flexibility, and responsiveness. This study uses AHP based on QCDFR for a systematic solution. The study begins with assessing stainless steel and iron plate suppliers based on QCDFR criteria, followed by the application of AHP to determine the best supplier, calculate criterion weights, and perform consistency testing. The study shows that PT. Yunsung is the best supplier for both iron and stainless steel plates with a weight of 0.504. PT. Bansoek and CV. Mulya rank second and third with weights of 0.290 and 0.170, respectively. PT. Yunsung excels in the quality, cost, and flexibility criteria, while CV. Mulya excels in delivery, and PT. Bansoek excels in responsiveness. The consistency of criterion weightings for both types of plates shows acceptable consistency values of 0.015 and 0.013. This study provides a systematic, data-driven solution for selecting the best supplier for manufacturing companies in the iron and stainless steel plate sector, offering a strategy for evaluating and selecting suppliers across multiple dimensions, including quality, cost, delivery, flexibility, and responsiveness. The study has been able to improve operational efficiency and reduce the risk of supply chain disruptions.
Co-Authors Borman, Mohammad Riski Farhana, Adinda Masri Pradipto Rosalina, Uki Aulia Sri Hartini Tobing, Victor Maruli Tua Tri Novita Sari, Tri Novita Wahyu Widayati, Wahyu