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All Journal Journal of Information System, Applied, Management, Accounting and Research
Manik, Ngarap Immanuel
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Computer Science & IT Decision Sciences, Operations Research & Management

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RANCANGAN PROGRAM ANALISIS TINGKAT KEMISKINAN PENDUDUK INDONESIA MENGGUNAKAN METODE RANTAI MARKOV Manik, Ngarap Immanuel; Hanafiah, Meutia
Journal of Information System, Applied, Management, Accounting and Research Vol 8 No 3 (2024): JISAMAR (June-August 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v8i3.1509

Abstract

The problem of poverty is one of the important problems that must be addressed by the government. In connection with this, a computer program is designed that can analyze the poverty level of the Indonesian population using the Markov Chain method. In designing this program, secondary data from BPS is used on the Number of Poor Population, Percentage of Poor Population (%), Poverty Line (Rp), Poverty Depth Index (P1), Poverty Severity Index (P2) from 2019-2022 at the provincial level in Indonesia. . The data analysis technique used in forecasting the poverty rate in the Indonesian Territory is the Markov Chain method. All data from variables are grouped into 7 stages. The transition matrix shows the magnitude of the value transfer from one stage to another, arranged based on the displacement from one year to the next. The forecast results of all poverty variables indicate that there is a tendency for a decrease in the level of poverty in the territory of Indonesia and the program design uses Java SE.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PELAKU USAHA TERBAIK BERBASIS WEB Mulyadi, Erwin; Manik, Ngarap Immanuel; Moniaga, Jurike V.
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2160

Abstract

Following the COVID-19 PPKM in place, businesses need new strategies to re-market their products so that they can continue to transact with other businesses and MSMEs. To address this, a study was conducted using mathematical and computer models. This study aimed to design a decision support system to determine the best business from five business sectors: Food, Clothing, Automotive, Services, and Electronics. The Multi-Attribute Utility Theory method was used to determine the best business, implemented web-based. Based on blackbox testing, the application performed well, from displaying pages, saving data, deleting data, and modifying data. Furthermore, user satisfaction evaluation, based on the results of a survey of five measurable human factors, demonstrated ease of use, with users providing positive feedback.
Co-Authors Hanafiah, Meutia Moniaga, Jurike V. Mulyadi, Erwin