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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 273 Documents
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Penerapan Data Mining Untuk Evaluasi Data Penjualan Menggunakan Metode Clustering Dan Agoritma Hirarki Divisive Studi Kasus Toko Sembako Pujo Febriyanti, Ade Eka; Harahap, Syaiful Zuhri; Masrizal, Masrizal
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6161

Abstract

The larger a company, the longer the company stands, the more companies have branches, of course, the greater the data owned. These data can be consumer data, purchase data, sales data, payroll data, and many other data. All data will usually be stored in a database. But many companies, even the Information Technology (IT) division, do not realize how valuable the pile of old data generated by the company in transactions and activities. Data mining is the study of methods for generating knowledge or finding patterns for processing data. So it's not just information, it's knowledge. Data Mining has several methods including clustering. Clustering is a well-known and widely used method in data mining. The main purpose of this clustering method is to Group a number of data/objects into clusters (groups) so that the cluster will contain the same data as each group. In this study, Divisive hierarchy algorithm is used to form clusters. From the pattern obtained is expected to provide knowledge for the company Media World Pekanbaru as a supporting tool to take policy.
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.
Peranan Strategis Internet Dalam Pemasaran Global Haliza, Nurul; Munawwarah, Sy Haura; Nazara, Bobby Sapriman; Suhairi, Suhairi
Jurnal Informatika Vol 12, No 1 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v11i1.5400

Abstract

The internet is not only a promotional tool, but also plays a key role in facilitating global distribution, cross-border communication, and in-depth data analysis. With its ability to reach consumers around the world through websites, social media and e-commerce platforms, the internet creates global connectivity that allows companies to capitalize on opportunities in international markets quickly and efficiently. The use of the internet is also shaping a new paradigm in customer interaction, enabling deep direct and real-time engagement between companies and consumers across different walks of life. This research was conducted using qualitative techniques. Through a qualitative approach, data is collected through literature studies and document analysis relevant to the theme of this research. The purpose of this work is to illustrate how the strategic role of the internet in global marketing not only changes the way businesses communicate, but also leads to strategic innovations to optimize brand presence, overcome cross-border challenges, and achieve success in an increasingly integrated global market.
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 Minat Masyarakat Menggunakan Media Sosial Menggunakan Algoritma C4.5 dan Metode Naïve Bayes Panjaitan, Nia Putri; Harahap, Syaiful Zuhri; Ah, Rahma Muti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6156

Abstract

The analysis of public interest using social media in data mining aims to understand user preferences and interests in various topics or products. By analyzing data from social media platforms, such as posts, comments, and interactions, researchers can identify significant interest patterns and trends, which can be used for more effective marketing strategies or product development that suits the public's desires. Common methods used in this analysis are the C4.5 and Naive Bayes algorithms. The C4.5 algorithm builds a decision tree that makes it easy to visualize and interpret the main factors that influence public interest. Meanwhile, Naive Bayes, with its probabilistic approach, classifies data based on existing features, providing fast and accurate predictions. Both methods are applied to process data from social media and produce in-depth insights into user preferences. The results of the analysis show that the prediction and classification of public interest have good accuracy, with the comparison result values showing very satisfactory performance. Both are able to identify and classify interests accurately, utilizing the advantages of each method to provide a better understanding of what is interesting to the public on social media.
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.
Rancang Bangun Purwarupa Monitoring Arus Bocor Pada Kabel Grounding Trafo Incoming 20 KV di Gardu Induk Nusa Dua Berbasis Internet Of Things Saputra, Dharma Bagus; Pradana, Aditya; Togatorop, Josua Febrian; Jasa, Lie; Hartati, Rukmi Sari
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.5998

Abstract

Failure of the grounding isolation on the 20 kV transformer incoming cable, resulting in leakage current. The leakage current on the grounding cable can change periodically, so an accurate and real-time monitoring system is required to protect the power transformer equipment and facilitate responsive handling. Therefore, an Internet of Things-based monitoring device is needed that can detect the magnitude of the leakage current present on the 20 kV secondary side of the transformer using an ESP8266 microcontroller and Arduino UNO R3 as the brain of the monitoring system, which controls and processes data from the input to output components. The SCT-013 current sensor is used to measure the AC current on the transformer incoming 20 kV grounding cable without requiring cable cutting, and the Arduino IDE is used to configure the program on the ESP8266 microcontroller to work according to the desired configuration. The results of the prototype testing using the ESP826 and Arduino UNO R3 microcontrollers and the SCT-013 current sensor have shown that the system can work well and the monitoring has been successfully implemented with real-time current monitoring using the Thinkspeak and Blynk platforms. The testing also proved that the SCT-013 current monitoring device can provide a comparison of the test results and measurements with a Tang Ampere, and the data obtained shows that the real-time SCT-013 current monitoring device is accurate, with an average reading error of less than 3% from the SCT-013 non-linearity specification, with a total reading error percentage of 2.0%. Additionally, the current monitoring device is precise, with the lowest standard deviation value of 0.046.
Sistem Informasi Pendataan Alat Bantu Bagi Penyandang Disabilitas Pada Dinas Sosial Kabupaten Labuhanbatu Hasibuan, Ardiansyah; Nasution, Marnis; Ritonga, Irmayanti
Jurnal Informatika Vol 12, No 1 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i1.5490

Abstract

Introduction the development of technology in recent years is very rapid. The development of technology today is used by many parties in carrying out daily life. The data collection that received a lot of attention was related to the data collection of supplies for people with disabilities at the Labuhanbatu District Social Office. Currently, people with disabilities are getting special attention from various parties, both government and non-governmental organizations. The fulfillment of the rights of persons with disabilities continues to be championed by a number of parties which will then be submitted to the government, in this case the Labuhanbatu District Social Office. Therefore, the Social Service of Labuhanbatu Regency really needs a computerized information system to facilitate the work. Processing large amounts of data is certainly very difficult without a support system in it. This encourages many parties to take advantage of the development of information systems to the fullest, both information that comes from within and information that comes from outside. Based on the observations of the researchers found that employees of the Labuhanbatu District Social Service to collect data on disability aids is still manually by recording and then input into microsoft office either microsoft word or microsoft excel. This makes long work and data accuracy ineffective. Therefore, the researchers felt that a computerized information system is needed that can facilitate and accelerate the work and can make the work of collecting disability aids by employees at the Labuhanbatu District Social Service more effective. Waterfall to implement interface design, user interface design design using a programming language .
Implementasi Data Mining Menggunakan Metode Algoritma FP-Growth Dan Algoritma Apriori Pada Toko IBR Jaya Untuk Meningkatkan Penjualan Naibaho, Restu Fauzy; Harahap, Syaiful Zuhri; Juledi, Angga Putra
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6128

Abstract

Dian trading business is one of the grocery stores engaged in buying and selling the main household needs of nine basic ingredients which have been doing a lot of grocery sales transactions. This transaction Data continues to grow every day and in the IBR Jaya store sales transaction data is only presented as an archive or report and it is not mentioned what the benefits of these data are. Nah, the problem at the IBR Jaya store is the improvement of improvements due to the shortage of basic food stocks that are often purchased by consumers are not available which results in improvements and usability improvements then the FP-Growth algorithm is used to analyze patterns of improvement and a priori algorithms for comparison through archived transaction data goods that will be purchased later as a reference to increase food stocks so as to increase sales at the IBR Jaya Food Store in the hope that this increase can help this is one of many ways to make money online. Association rules are a process in Data Mining to establish all associative policies that meet the minimum requirements for support (minsup) and trust (minconf) in a database . In association rules, there are 2 methods that can be used, namely a priori method and FP-Growth method. In this study the method used is FP-Growth algorithm and a priori algorithm, FP-Growth algorithm and a priori method is a method to find the most frequently appearing data set (frequent itemset) without using candidate generation that is suitable to analyze a data transaction.
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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