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Implementation of Decision-Making Algorithms and Key Requirement Approach for Vendor Selection in Telecommunication Device Bidding Patria Adhistian; Dyah Puspitasari Sunaryo Putri; Ihsan Supono; Priyo Wibowo
Jurnal Rekayasa Sistem & Industri (JRSI) Vol 10 No 01 (2023): Jurnal Rekayasa Sistem & Industri - Juni 2023
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i01.570

Abstract

Pengaruh persepsi kualitas merupakan permasalahan klasik dalam suatu proses pemilihan vendor (bidding). Untuk mengatasi masalah tersebut telah banyak digunakan algoritma dalam pengambilan keputusan. Dalam makalah ini telah dilakukan identifikasi kebutuhan team planning dan optimalisasi skema bidding menggunakan key of requirement untuk meminimalkan pengaruh persepsi kualitas. Metode Kano Model Analysis, Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) digunakan untuk menganalisis dan menentukan key requirement dalam proses bidding perangkat telekomuniasi yang dibutuhkan team planning. Pemilihan vendor berdasarkan spesifikasi key of requirement dilakukan dalam enam tahap, yaitu tahap persiapan, identifikasi requirement, penentuan spesifikasi key of requirement, pemilihan vendor, uji akurasi dan kesimpulan. Hasil analisis menunjukkan bahwa kebutuhan planning dan new architecture dari penyedia layanan telekomunikasi dapat dikelompokkan menjadi NFVi dan service. Kriteria penting dari pembangunan NVFi (Hardware) yaitu Virtual Infrastructure Management (VIM) dengan bobot 22% sedang kriteria service yaitu Fixed Services dengan bobot 50,94%. Berdasarkan hasil analisis juga diperoleh nilai preferensi dari masing-masing vendor (supplier) perangkat telekomunikasi.
Pengendalian Persediaan Kompresor Kaishan Kombina Metode TS dan EOQ di PT. Karya Teknik Semesta Nia Kurniasih; Soleh Sofyan; Patria Adhistian
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 3 No. 5: Juli 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v3i5.4686

Abstract

The study entited anaysis of merchandise inventory control compressor product of Kaishan at PT. Karya Teknik Semesta in Jakarta 2023. This event will be based on research from compressor orders made with to little or too much quantity, and orders that are not properly scheduled. Which led to the company losing saes at the end of 2022, which resulted in a shortage of inventory in Januari 2023. The purpose of this research is to know how many demand for compressor products for the next period using the Time Series method, how many orders to be done each time (EOQ), the amount of safety stock (SS), and reordering point (ROP). The data obtained are then processed bt the comparing severa methods included in the Time Series method, namely; Moving Average (MA), Weight Moving Average (WMA), Exponentia Smoothing. To obtain the smalest Mean Absolute Deviation (MAD) which will be used to caculate demand forcasting for the next period. From the result of the anaysis the Time Series, EOQ, SS, and ROP, inventory costs are more efficient than the past two years (2021 and 2022).