Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah KOMPUTASI International Journal of Management, Economic and Accounting
Jonathan Pakpahan
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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

Found 3 Documents
Search

 1 
Segmentasi Spasial Tingkat Kemiskinan Provinsi Sumatera Selatan Menggunakan Pendekatan Klasterisasi K-Means Jonathan Pakpahan; Septhia Charenda Putri; Ananda Khoirunnisa; Rafika Octaria Ningsih; Putri Mutiara Arinie; Arvhi Randita Setia; Ken Ditha Tania; Allsela Meiriza
Jurnal Ilmiah Komputasi Vol. 24 No. 3 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 3, September 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.3.3820

Abstract

Kemiskinan adalah tantangan utama dalam pembangunan ekonomi yang membutuhkan analisis berbasis data. Kajian ini menerapkan metode klasterisasi K-Means untuk segmentasi spasial tingkat kemiskinan berdasarkan indikator sosial-ekonomi, seperti persentase penduduk miskin, rata-rata lama sekolah, pengeluaran per kapita, serta indeks kedalaman dan keparahan kemiskinan. Data dari BPS tahun 2024 diolah menggunakan pendekatan Knowledge Discovery in Database (KDD) melalui tahapan seleksi data, prapemrosesan, transformasi, penambangan data, dan evaluasi menggunakan RapidMiner. Hasil klasterisasi membentuk empat kelompok dengan disparitas kesejahteraan antarwilayah, di mana beberapa daerah menunjukkan tingkat kemiskinan yang lebih tinggi. Melalui pemetaan berbasis data ini, penelitian diharapkan menjadi dasar bagi pengambil kebijakan dalam merancang strategi penanggulangan kemiskinan yang efektif dan tepat sasaran guna mengurangi ketimpangan sosial serta meningkatkan kesejahteraan masyarakat di Provinsi Sumatera Selatan. Kata kunci: Kemiskinan, K-Means, Klasterisasi, Data Mining, Sumatera Selatan.
Inventory Analysis To Get Profit PT. Agri First Indonesia Hendra Saputra; Ayu Kurnia Sari; Jonathan Pakpahan
International Journal of Management, Economic and Accounting Vol. 2 No. 2 (2024): December 2024
Publisher : Yayasan Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/ijmea.v2i2.356

Abstract

In the era of recent globalization, inventory is one of the most active and important elements of assets in the company's operating process, which is obtained to be produced into finished goods and then sold, marketed or goods to be used. Therefore, the description and measurement of inventory must be carried out carefully and clearly. Inventory is particularly important because this item can materially affect both the profit and loss calculation and the statement of financial position within a company. The term inventory indicates goods owned by the company used for the normal activities of the company. Both those used for resale and those that are reused or used for the production process. The results of the study state that the recording method used in the company PT Agri First Indonesia is a perpetual system that allows inventory information to be known at any time and this is very helpful to management because the company is engaged in retail trade whose inventory turnover is quite high so that with this perpetual method, anticipation can be made so that there are no shortages and excess inventory. This is in accordance with PSAK No. 14. Because the company always records every transaction into the transaction account so that at any time the amount of inventory can be known. However, this system has a weakness, namely that current costs are not compared with future revenues.
The Effect Of Cash Flow On Stock Prices In Manufacturing Companies For The Consumer Goods Sector Consumer Goods Sector Ayu Kurnia Sari; Hendra Saputra; Jonathan Pakpahan; Sumariaty Br Manurung
International Journal of Management, Economic and Accounting Vol. 2 No. 2 (2024): December 2024
Publisher : Yayasan Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/ijmea.v2i2.357

Abstract

This study aims to determine the effect of operating cash flow on stock prices through earnings persistence as an intervening variable in manufacturing companies in the food and beverage consumer goods sector. The data needed in this study were collected using documentary techniques. The type of data used in this study is secondary data. The method used to process data is descriptive statistical method and multiple linear regression method with Ordinary Least Squares (OLS) approach. The tool used in the research is SPSS version 23. The results of the Partial test or t test show that the operating cash flow variable does not have a significant and partial effect on the dependent variable, namely the market price. The t-test results show a significant value of 0.767 greater than significant (a) of 5%. Thus globally these variables cannot be used in analyzing market prices. Based on the model summary table, the value of R2 or R Squere is 0.027, this indicates that the contribution of operating cash flow and earnings persistence is 2.7% while the remaining 97.3% is the contribution of other variables.
Co-Authors Allsela Meiriza, Allsela Ananda Khoirunnisa Arvhi Randita Setia Ayu Kurnia Sari Hendra Saputra Ken Ditha Tania Putri Mutiara Arinie Rafika Octaria Ningsih Septhia Charenda Putri Sumariaty Br Manurung