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Journal : Jurnal Sintak

FORECASTING PENGERJAAN BERKAS MENGGUNAKAN METODE ARIMA DAN SARIMA Paulina Octavia; Eko Sulistyono
JURNAL SINTAK Vol. 1 No. 2 (2023): MARET 2023
Publisher : LPPM-ITEBA

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Abstract

The National Land Agency (BPN) is a non-ministerial government agency in Indonesia which has the task of carrying out governmental tasks in the land sector in accordance with statutory provisions. BPN was formerly known as the Agrarian Office. The formation of the Batam City Land Service is an implementing element of the Batam City Government in the field of Land Affairs which is led by a Head of Service who is under and responsible to the Mayor of Batam. The Batam City National Land Agency always carries out administrative processes starting from Monday to Friday. However, currently the Batam City BPN is serving a "Weekend Service" so that it can facilitate services that cannot be served Monday to Friday. The aim of this research is to predict incoming files and work on them in January 2023. The steps taken are calling the model, then estimating the ARIMA model, then doing proof and forecasting. The results obtained are the number of files being worked on is increasing every day.
TRAVELING SALESMAN PROBLEM DALAM MENYELESAIKAN RUTE OPTIMAL PENGIRIMAN AIR MINUM ISI ULANG Andri Azmul Fauzi; Sulistyono, Eko
JURNAL SINTAK Vol. 1 No. 1 (2022): SEPTEMBER 2022
Publisher : LPPM-ITEBA

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Abstract

Optimasi merupakan suatu langkah untuk memperoleh penyelesaian yang terbaik dari suatu permasalahan. Dalam menyelesaikan suatu kasus optimasi, biasanya dibutuhkan kajian terkait pemrograman linear ataupun pemrograman integer. Contoh aplikasi dari pemrograman linear dan pemrograman integer adalah masalah transportasi, Vehicle Routing Problem, dan Traveling Salesman Problem. Banyak contoh kasus yang dapat dikaitkan dengan Traveling Salesman Problem. Salah satunya adalah pengantaran air minum isi ulang. Berdasarkan hal tersebut, tujuan penelitian ini adalah menentukan rute pengiriman optimal dalam pengiriman air minum isi ulang dengan menggunakan metode Nearest Neighbor.
Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index) Agung, Andi; Zaqiyah, Arfatuz; Rozikin, Muhammad; Wafa, Moh. Shohibul; Nuha, Agusyarif Rezka; Sulistyono, Eko
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.317

Abstract

This research explores the causality model between trading volume, bid-ask spread, and stock return volatility in the business index-27. Utilizing historical data, Granger causality analysis is employed to determine the direction and strength of the relationships between these variables. The findings reveal significant causal relationships among trading volume, bid-ask spread, and stock return volatility. These findings offer valuable insights into understanding stock market dynamics and their implications for investment decision-making. Moreover,This article contains an analysis of the relationship between stock trading variables within the scope of two main hypothesis namely the mixture of distribution hypothesis (MDH) and the sequential information arrival hypothesis (SIAH). The calculation results identify that for most stocks there is a one way Granger causality relationship between trading volume and return volatility, which is not sufficient evidence to support the MDH theory.