Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal JISKa (Jurnal Informatika Sunan Kalijaga) International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Forum Analisis Statistik
David Jordy Dhandio
Universitas Tanjungpura
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Perbandingan Metode Pendukung Keputusan Pemilihan Kos Mahasiswa di Pontianak Noerul Hanin; David Jordy Dhandio; Della Zaria
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 8 No. 1 (2023): Januari 2023
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2023.8.1.50-65

Abstract

The existence of boarding houses in public spaces is highly expected by the community, especially migrants such as students who need a temporary house in oversea areas. In Pontianak, especially around Tanjungpura University, there are many boarding houses that offer various facilities with various rental prices. Thus, decision support analysis is needed to choose a good boarding house for students around Tanjungpura University. In this study, two decision support system methods were selected, those are SAW and TOPSIS. These two methods were chosen because they have uncomplicated calculations, but are capable to produce good decisions. A comparison of the two methods was carried out to find out differences in results and calculation concepts to choose boarding houses for students in Pontianak. Data that was used for the trial were 10 alternative boarding houses located around the university. Based on trial results, the best boarding house obtained using SAW and TOPSIS methods is Yoga Kost.
IMPLEMENTATION OF AHP-TOPSIS AS A SUPPORT FOR MAKING DECISIONS ON MICRO BUSINESS FUNDING IN SAMBAS REGENCY Noerul Hanin; Della Zaria; David Jordy Dhandio; Dadan Kusnandar
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7, No 1 (2023): IJEBAR, VOL. 07 ISSUE 01, MARCH 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i1.8705

Abstract

The economy is one of the fields affected by the Covid-19 pandemic in the world, including Indonesia. One of the drivers of the economy in Indonesia is Micro, Small and Medium Enterprises (MSMEs). Among the three types of businesses, micro-enterprises contribute the most to Indonesia's Gross Domestic Product. Therefore, an analysis of the decision support system for financing micro-enterprises in Indonesia is carried out. This study aims to determine the application of decision support methods in selecting micro-enterprises that are entitled to receive grants and appreciation for developing their business. The choice of Sambas Regency as the case study location was due to the good development of micro-enterprises and one of the front lines in exporting products to other countries. The method used is a collaboration between the Analytical Hierarchy Process (AHP) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Through the process of weighing the criteria with AHP and several stages with TOPSIS, the results are obtained in the form of preference values and sequences of micro businesses that are eligible to receive funds. For the category of grants, it was found that the most feasible business to be financed was Roemah Jamoer Ikram, while for the category of appreciation funds, the most feasible business to be financed was Amplang 9. Thus, the analysis of supporting micro business financing using the AHP-TOPSIS method was successfully carried out with the output in the form of micro business rating results.
Peramalan Inflasi Kota Pontianak dengan Metode Double Exponential Smoothing: Pontianak City Inflation Forecasting Using the Double Exponential Smoothing Method David Jordy Dhandio; Muthiara Anantha Simanjuntak; Shantika Martha; Supandi Supandi
Jurnal Forum Analisis Statistik Vol. 3 No. 2 (2023): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v3i2.59

Abstract

Stabilitas ekonomi merupakan harapan bagi setiap negara untuk menciptakan masyarakat yang sejahtera. Stabilitas ekonomi dapat diukur salah satunya dengan menggunakan indikator inflasi. Inflasi terjadi jika terdapat kenaikan secara terus menerus pada harga barang dan jasa serta nilai mata uang mengalami pelemahan, sehingga menyebabkan laju pertumbuhan ekonomi menjadi lambat. Untuk mengantisipasi kondisi ini, diperlukan pengambilan keputusan yang tepat dalam pengendalian inflasi, salah satunya dengan menggunakan peramalan. Metode peramalan inflasi yang digunakan dalam penelitian ini adalah Double Exponential Smoothing, meliputi metode Brown Exponential Smoothing dan Holt Exponential Smoothing. Penelitian ini bertujuan untuk menentukan metode peramalan terbaik dalam mengukur inflasi Kota Pontianak selama bulan November 2023 hingga Desember 2024. Metode terbaik ditentukan dari uji akurasi dengan nilai MAPE, Hasil penelitian ini diperoleh bahwa metode Holt Exponential Smoothing dengan parameter = 0.9999 dan = 0.0001 merupakan metode terbaik untuk melakukan peramalan inflasi Kota Pontianak dengan nilai MAPE sebesar 0.53%.
Co-Authors Della Zaria Muthiara Anantha Simanjuntak Neva Satyahadewi Noerul Hanin Shantika Martha Supandi Supandi