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INDONESIA
Informatika
Published by Universitas Labuhanbatu
ISSN : 23032863     EISSN : 26151855     DOI : 10.36987
Core Subject : Science, Education, Engineering,
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Library & Information Science Other
INFORMATIKA : Jurnal Ilmiah Fakultas Sains & Teknologi Universitas Labuhanbatu diterbitkan oleh Universitas Labuhanbatu melalui Lembaga Penelitian dan Pengabdian Masyarakat, dimaksudkan sebagai media pertukaran informasi dan karya ilmiah antara staf pengajar, alumni, mahasiswa dan masyarakat pada umumnya yang terbit tiga kali dalam setahun (Januari-Mei-September), yang mulai awal terbit sejak tahun 2013.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 24 Documents
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Search results for , issue "Vol 12, No 2 (2024): INFORMATIKA" : 24 Documents clear
Pengaruh Kemiskinan Terhadap Pertumbuhan Ekonomi di Provinsi Banten Ramdani, Risa Novianti; Mauralifta, Yuan Amelia; Wirantara, Syahtriandi; Handayani, Noviarti Elsa
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5710

Abstract

Poverty is a real problem in many regions, including in Banten. Poverty has a very broad impact, including its negative impact on economic growth. This study aims to identify the effect of poverty on economic growth by using secondary data from various sources such as BPS, and Related Literature. The result is that there is a negative relationship between the level of poverty and economic growth. Poverty can hinder economic growth through a variety of channels, including reduced labor productivity, decreased purchasing power, and lack of access to education. Therefore, efforts to reduce poverty are expected to support sustainable economic growth. This study is intended to contribute to broaden horizons related to the relationship between poverty and economic growth and provide relevant policy implications to address the problem of poverty and increase economic growth in Indonesia, especially in Banten province.
Penerapan Machine Learning Algoritma Regresi Linear Untuk Memprediksi Saham Bank BNI Andini, Novira Dwi; Harahap, Syaiful Zuhri; Nasution, Marnis
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5649

Abstract

Indonesia has been growing rapidly, one of which can be seen from the economy and technology in Indonesia, at this time the community is almost entirely using machine power technology as a helper of daily life, and the community has also processed a lot of its finances by way of stock investment, with stock investment, the community believes that stocks are invested safer and more profitable. Shares are securities that show proof of ownership or capital market participation of investors in a company (BNI) and shares have a value that is up and down (volatile). Stocks are very important in a company and stocks are a trigger for rising profits in the company.  The rise and fall of stock prices in Indonesia has an adverse effect on companies, especially PT Bank Negara Indonesia (Persero), Tbk. the cause of the rise and fall in stock prices is usually caused by several things, namely the condition and performance of the company, risk, dividends, interest rates, economic conditions, government policies, government issues or other issues, the rate of inflation, supply and demand. Machine learning tools used in predicting stocks, using machine learning, the data obtained is more accurate. Machine learning is an artificial intelligence that can process data that is useful for consideration in making decisions and solving problems.      Linear regression algorithm is one of the methods used to predict stock data in Bank Negara Indonesia. Linear regression algorithm tries to model the relationship between two variables by matching the linear equation of the stock data to be studied. One variable is considered the explanatory variable and the other variable is called the dependent variable. Prediction a process for systematically estimating BNI stock data that will appear in the future using data obtained from the past. Thus the company can easily find out the stock data in the future.
Analisis Pengaruh Sektor Pariwisata Terhadap Pertumbuhan Ekonomi di Kota Bandung Hol, Anna Raischell; Zhafirah, Rhevaira Kayla; Ritonga, Dizka Angel Naomi; Subekti, Eka Wulandari Nur; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5775

Abstract

This research was conducted to analyze how the tourism sector influences economic growth in the city of Bandung, West Java in the period 2014 to 2023. The analysis method uses multiple linear regression by maximizing the SPSS 25 program with a quantitative approach. Data obtained via BPS Bandung City and West Java Open Data. This research shows that the tourism sector, namely the restaurant sector, has a positive and significant effect on the economic growth of the city of Bandung, which means that if the number of restaurants increases, economic growth will increase. Meanwhile, the number of tourists and the hotel sector have a positive but not significant effect on the economic growth of the city of Bandung. This shows that it is necessary to increase the number of tourists and the number of hotels to increase the economic growth of the city of Bandung.”
Analisis Pengaruh Tingkat Pengangguran Terbuka Terhadap Tingkat Kemiskinan di Provinsi Banten Periode 2018-2022 Rohmaniah, Inayatur; Wahyuningsih, Dewi; Lutfiah, Adinda; Alidani, Muhamad Sauqi; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5738

Abstract

The objective of this study is to assess the impact of the open unemployment rate on poverty rates in Banten province from 2018 to 2022. The variables examined include poverty levels as the dependent factor and the open unemployment rate as the independent factor. Employing a quantitative approach, this research utilizes secondary data retrieved from the Central Statistics Agency (BPS) and applies the multiple linear regression analysis technique. The findings indicate that the open unemployment rate variable exhibits a negative and statistically insignificant effect on poverty rates when analyzed individually. This suggests a one-way correlation between open unemployment levels and poverty levels.
Analisis Dampak Indeks Kemiskinan dan Pendidikan Terhadap Pertumbuhan Ekonomi Provinsi Jawa Barat Tahun 2017 Sampai Dengan Tahun 2022 Rahman, Muhammad Arif; Dewi, Murtisari; Sopiyanti, Siti; Yulianti, Fina Olivia; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5711

Abstract

Poverty is a situation where individuals or groups are unable to meet their basic needs to maintain and improve a dignified life. The education index has a significant relationship with economic growth. Poverty can negatively impact economic growth, as it can hinder people's access to quality education. Over a specified period, economic growth reflects continuous changes in a country's economic conditions towards a more sustainable and improved state. The method used in this research is the descriptive method. From the significant correlation results (Sig.(2-tailed)), the probability figure for GDP is 0 > 0.05, for Poverty (X1) the probability is 0.939 > 0.05 which correlates with GDP (Y), and for the Education Index (X2) the probability is 0.637 > 0.05 which also correlates with GDP (Y). This indicates that there is a significant correlation between poverty and the education index with economic growth.
Sistem Informasi Pariwisata Alam di Kabupaten Labuhanbatu Berbasis Web Purba, Cinrewina; Nasution, Marnis; Muti Ah, Rahma
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5650

Abstract

Indonesia is a country rich in natural resources. nature tourism has a unique and interesting natural wealth as the main attraction for people who like to visit nature. Saving the environment and biodiversity becomes very important, and nature tourism can be a means to increase public awareness and involvement in Nature Conservation. Each of these tours has its own beauty and characteristics. Tourism is one of the sectors that has the opportunity to become the largest foreign exchange contributor in Indonesia, tourism growth in indonesia was recorded at 7.2 percent per year, higher than the average world tourism growth of only 4.7 percent. Labuhanbatu Regency is one of the regions of North Sumatra that has a good tourism sector.but in the dissemination of information  about tourism is still a manual, among others, the provision of brochures, posters, pamphlets to tourists who visit. The Office of Youth, Sports, Culture and tourism does have a website about natural tourism in Labuhanbatu but its webiste can not be opened, and the automatic development of natural tourism can not be updated to the website. At the time of the tour, the tourists also must be really tired on the way and want to stay at the tourist attractions. To ensure the presence or absence of lodging in these tourist attractions,it is very necessary for the website to more easily find out information about natural attractions in Labuhanbatu Regency.
Analisis Pengaruh Inflasi Terhadap Tingkat Pengangguran Terbuka di Provinsi Sumatera Barat Tahun 2019-2023 Tamala, Novi; Inaya, Iin; Aulia, Maya Nailatul; Nurtias, Satria; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5779

Abstract

This research is aimed at analyzing the effect of inflation on unemployment in West Sumatera province in 2019-2023. The problem of unemployment is a complex socio-economic issue. This is because unemployment does not just stand alone, but is continuous with many other indicators, for example inflation. The government is working hard to minimize this unemployment problem, and they will continue to be committed to eliminating it. Unemployment, as a complex socio-economic problem, is closely related to other indicators, such as the influence of inflation. This research is quantitative. The data was obtained from the BPS West Sumatera website. To analyze the data, the SPSS 2024 test was used. The research results showed that inflation could explain up to 67.8 percent of unemployment. This means that the unemployment rate in West Sumatera province is influenced by inflation.
Memprediksi Data Saham Bank Mandiri Menggunakan Metode Algoritma Regresi Linear Dengan Bantuan Rapid Miner Sari, Laila; Harahap, Syaiful Zuhri; Ritonga, Irmayanti
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5645

Abstract

Indonesia has been growing rapidly, one of which can be seen from the economy and technology in Indonesia, at this time the community is almost entirely using machine power technology as a helper of daily life, and the community has also processed a lot of its finances by way of stock investment, with stock investment, the community believes that stocks are invested safer and more profitable. A stock can be defined as a mark of participation or ownership of an individual investor or institutional investor or trader on their investment or a certain amount of funds invested in a company. Linear regression algorithm is one of the methods used to predict stock data in Bank Mandiri. Linear regression algorithm tries to model the relationship between two variables by matching the linear equation of the stock data to be studied. One variable is considered the explanatory variable and the other variable is called the dependent variable. Prediction a process for systematically estimating Bank Mandiri stock data that will appear in the future using data obtained from the past. Thus the company can easily find out the stock data in the future.
Analisis Pengaruh Tingkat Pengangguran Indeks Pembangunan Manusia, dan Upah Minimum Terhadap Jumlah Penduduk Miskin di Kota Serang Tahun 2018-2023 Dewi, Shafa Salsabila; Rahmadani, Dhia Zalfa Dwi; Perthami, Perthami; Desmawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5757

Abstract

In this research, the expected objective is to determine the distribution, classification and level of unemployment, human development index, minimum wage and the number of poor people in Serang City in 2018-2023. This research uses a multiple analysis model, using SPSS version 25. The regression results show that the HDI variable on the Number of Poor Population has a negative effect, namely decreasing by 0.950 and is statistically significant with the unemployment rate and minimum wage.
Pengaruh Pengangguran dan Inflasi Terhadap Tingkat Kemiskinan di Indonesia Pada Tahun 2015-2023 Puteri, Adinda Afrilia; Wildatussilmiah, Okti; Yunani, Yunani; Harning, Rekhiannisa Dwi; Dermawan, Deris
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5727

Abstract

The problem of poverty is not only a challenge for developing countries like Indonesia, but is also a major concern for many countries throughout the world. Even though Indonesia has succeeded in reducing the poverty rate, in reality there are still many people in various provinces, especially in the Eastern Region of Indonesia (KTI), who live below the poverty line. Efforts to overcome this problem are very important for the welfare of the people in the region. The main aim of this research is to analyze the relationship between unemployment and inflation rates and poverty rates. The method used is a quantitative method, with data obtained from the Central Statistics Agency to describe the phenomenon of unemployment and inflation. The result is that unemployment does not have a significant and negative influence on poverty. However, inflation has a negative and significant influence on poverty. Simultaneously, unemployment and inflation do not have a significant and negative impact on poverty.

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