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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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Analisis Keamanan Website Kecamatan Cibodas Tangerang Dengan Metode Open Web Application Security Project Mansen Sagala, Janstipen Roy; Budiarti, Yusnia; Serli, Rosi Kusuma
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.v12i2.5948

Abstract

This research aims to conduct a security analysis on the website kec-cibodas.tangerangkota.go.id using the Open Web Application Security Project (OWASP) methodology. The findings indicate that the OWASP methodology is effective in identifying security vulnerabilities in the web-based application. Several significant results have been uncovered, revealing potential vulnerabilities that could be exploited by malicious actors. The primary findings of this research indicate that OWASP tools remain relevant and reliable as a foundation for website security testing, given the detection of several vulnerabilities. However, it is noted that the domain kec-cibodas.tangerang-kota.go.id is considered relatively secure from potential security threats. This research contributes significantly to understanding and enhancing website security by highlighting existing vulnerabilities and providing recommendations for necessary improvement measures. The results of this study are expected to serve as a basis for developing security policies and more effective preventive measures against potential attacks on the kec.cibodas.go.id website.
Sistem Informasi Kepegawaian Pada Kantor Kecamatan Rambah Samo Berbasis Framework Laravel Fakultas Ilmu Komputer Universitas Pasir Pengaraian Dona, Dona; Rifqi, Mi’rajul; Elfina, Yulia
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.v12i3.6088

Abstract

Promotion is an award given for work performance and dedication. Promotions must be given in a timely manner and to the right person. Promotions are given to civil servants at a higher level if concerned. At least 4 years late in the last level. The existing system at the Rambah Samo sub-district office, even though they are already using a computer, but for the process of completeness of files which often results in problems that arise related to promotion. that rank. problems that occur such as the number of employees who do not understand what files are proposed even though each period of the BKPP Kab. Rokan Hulu always sends letters regarding what files are prepared, many proposals are rejected because the period has not been calculated (not enough months). The programming language used in designing and implementing a personnel information system at the Rambah Samo District Office is PHP and the database used is MySQL. The results of research at the Rambah Samo District office, it can be concluded that this system is expected to assist the Rambah Samo District Office in managing promotion data and personnel data.
Analisa Data Penjualan Pada Apotek Ritonga Farma Menggunakan Data Mining Apriori Lestari, Putri Anggraini; Nasution, Marnis; Harahap, Syaiful Zuhri
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.v12i2.5651

Abstract

A pharmacy is a place or business that is specifically dedicated to providing medicines and other health products to the public. This place is also known as a drugstore or drug store in some countries.  Pharmacies provide medicines both prescribed by doctors and over-the-counter (over-the-counter), to help patients cope with health problems they are experiencing.Some pharmacies also offer additional services such as blood pressure checks, vaccinations, simple health checks, and health counseling to the public.  In applying a priori methods to pharmacy, a deep understanding of data structure and proper product classification is needed to overcome this problem. By knowing the pattern of frequent purchases, pharmacies can place items that are often purchased together close together on shelves or strategic locations. This can increase the convenience of buyers and speed up the purchase process. A priori methods are techniques in data mining that are used to find hidden patterns or associations in large datasets.  A priori methods look for relationships between items in a dataset that often appear together.  The main principle of the a priori method is that if an item-set appears frequently together, then it is likely that the item-set will also appear frequently together in other transactions.
Implementasi Metode Naive Bayes dan Neural Network Untuk Menentukan Minat Masyarakat Pada Handphone Samsung M, Nelvi Nurrizqi; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti
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.v12i3.6163

Abstract

Naive Bayes and Neural Network methods are used in analyzing people's interest in Samsung mobile phones to gain a better understanding of consumer preferences. Naive Bayes is a simple but very effective probability-based classification method. This method generates possible consumer interests by analyzing features such as price, specifications, and brands, and calculating the probability of different categories. Naive Bayes is very useful in situations where data has independent features, and can provide accurate results at high speed. By identifying patterns of people's preferences, this method can help Samsung adjust marketing and product strategies that are more in line with consumer needs. On the other hand, Neural Network offers more complex analytical capabilities by imitating the way the human brain works through a network of neurons. This method is used to process larger and more complex data in understanding consumer interest patterns in Samsung mobile phones. Neural Network can identify deeper relationships between various factors, such as the interaction between camera features and user needs, using deep learning processes. The purpose of using Neural Network is to capture nuances and trends that cannot be identified with simple methods, thereby providing a more comprehensive view of what drives consumer interest. The use of these two methods of analysis in public interest in Samsung mobile phones has provided very satisfactory results. The calculation values obtained from both methods show a high level of accuracy in the classification of consumer interest. The results of this analysis provide valuable insights for Samsung in understanding consumer preferences and needs, as well as helping the company in designing more effective products and marketing strategies. Thus, the combination of the use of Naive Bayes and Neural Networks not only provides stron g results, but also provides a more holistic approach to consumer data analysis.
Analisis Faktor-Faktor Yang Mempengaruhi Ketimpangan Pendapatan di Provinsi Yogyakarta Ningsih, Rizka Wahyu; Salma, Salma; Rabbani, Naufal; Maulana, Rajendra Kimi; 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.v12i2.5820

Abstract

The focus of this research, which utilizes panel data, is to understand the dynamics of income inequality in the DI Yogyakarta region from 2014 to 2023. This study aims to identify the variables that influence income inequality. The results of the study indicate that the average length of schooling has an impact on income inequality. On the other hand, factors such as the Human Development Index, Provincial Minimum Wage, and Open Unemployment Rate are proven to have no significant effect on the issue of income inequality in the research area. Income inequality is a critical issue that hinders development in many countries, including Indonesia.
Kebijakan Produk Standarisasi International Radiyyah, Afif Fathanah; Manurung, Nabila Tasya Nurhafifah; Hasibuan, Sovy Muti Ardianty; 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.v11i1.5401

Abstract

International product standardization policies are related to the dynamics of global trade and the complexity of the current global market. In an ever-evolving and globally connected environment, harmonization of product standards is important to facilitate the more efficient flow of goods and services across borders. Differences in national standards between countries can be a major obstacle in international trade. Therefore, a uniform and compatible standardization policy throughout the world is essential to create a fair and open trading environment for all market participants. This research aims to determine the use of standardization in Indonesia and what benefits are obtained from implementing product standardization policies.
Penerapan Metode Algoritma C4.5 Untuk Memprediksi Loyalitas Karyawan Pada PT.Tolan Tiga Indonesia Perlabian Estate Rambe, Diana Indriani; 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.v12i2.5646

Abstract

The capital market is a place where various financial instruments are sold and bought can be long-term or short-term financial instruments. The Indonesian stock market is regulated by law No. 8 of 1995 capital market. The law clarifies the role of capital markets in the country's economy. The capital market has two functions, namely as a container for corporate financing in collecting funds from investors and as a means of investment. Loyalty is a person's loyalty in serving in a company or institution where there is a dedication and trust given by the company or institution in carrying out tasks in accordance with its expertise. in which there is a sense of love and responsibility to strive to provide the best service and behavior to show good work performance. . Loyalty is needed by companies because if employees do not have loyalty at work, it can harm the company. Thus in order to determine employee loyalty,several assessments are needed such as : employee performance,neatness in work, behavior and frequency of cooperation. Sehinnga from the assessment the company can assess how employee loyalty and if the contract employees include employees who have loyalty to the work it will be adopted as permanent employees at PT. There Are Three Types Of Indonesian Real Estate. The need for information services is very important, in predicting employee loyalty .in predicting employee loyalty can still be done manually but requires a very long processing time can be days.therefore, the author provides convenience with the use of meaching learning method, namely C4. 5 algorithm . C4.5 algorithm can facilitate the company in the process of employee prediction with just a matter of hours. So that it can make it easier for companies to determine employees who have loyalty to PT. There are three types of Indonesian real Estate.
Analisis Sistem Informasi Pengelolaan Data Alumni MAN Labuhanbatu Berbasis Codeigniter PHP Framework Hasibuan, Muhammad Adlin; Harahap, Syaiful Zuhri; Nasution, Marnis
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.v12i3.6157

Abstract

Alumni data management information system is a platform designed to manage and maintain alumni data effectively and efficiently. This system makes it easy for educational institutions to collect, store, and manage information about their graduates, such as personal data, education history, career, and their contribution to the alumni community. Using database technology and specialized software, the system enables fast data retrieval, organized data storage, and real-time monitoring of alumni activities. The existence of this information system also helps in maintaining good relations between institutions and alumni, as well as supporting alumni programs such as reunion events, networking, and career development. In addition, the alumni data Management Information System serves as a strategic tool in improving the quality and reputation of educational institutions. Research on alumni data management information system analysis using the CodeIgniter PHP framework as a programming language is interesting to do. CodeIgniter PHP Framework is known as one of the lightweight and efficient frameworks in web application development, so it can provide advantages in managing complex alumni data.
Analisis Pengaruh Pertumbuhan Penduduk dan Tingkat Pengangguran Terhadap Kemiskinan di Provinsi Lampung Tahun 2014-2023 Putri, Nayyara Rafa; Sudirman, Ginda Nugraha; 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.v12i2.5758

Abstract

Many countries are dealing with poverty, and Indonesia is no exception. The inability to meet the most basic needs is cruel when we talk about poverty. this research aims to analyze the relationship between poverty in Lampung Province and economic development, unemployment, and its contribution. For this study, we used secondary data collected by the Central Bureau of Statistics for 2019-2023. Multiple linear regression analysis is used as a Data Testing Tool. Based on the research output, the poverty rate in Lampung Province is influenced by economic growth and unemployment. The authors of the study argue that government should be able to encourage business expansion and the creation of a business activity workforce.
Utilizing FP-Tree and FP-Growth Algorithms for Data Mining on Medicine Sales Transactions at Khanina’s Ardiansyah, Rizaldi; 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.v12i3.5999

Abstract

Although Khanina Pharmacy is a growing pharmacy with a lot of processes, the data processing is still done by hand. This study examines the use of the FP-Tree and FP-Growth algorithms to the medication sales transaction system. The FP-Tree and FP-Growth algorithm methods use methods or strategies to choose data in order to identify trends or intriguing details. The FP-Tree and FP-Growth algorithm approaches are two frequently used techniques in data mining. The purpose of this medicine sales transaction data is to identify concurrently purchased products. The FP-Growth Algorithm is used to find item pattern combinations. Use of FP-Tree to identify frequently occurring itemsets from a database in combination with the FP-Growth algorithm. When searching for product attachment patterns for sales tactics in decision-making rules, the Association Rule method is employed. In order to determine which medications are frequently bought by customers, we can create rules using the data in the database. The Rapidminer 5 program was used to conduct the test. This test yielded the following results: the number of itemsets created and rules constructed increased with decreasing support values.

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