cover
Contact Name
Syaiful Zuhri Harahap
Contact Email
syaifulzuhriharahap@gmail.com
Phone
+6285261290813
Journal Mail Official
informatika@ulb.ac.id
Editorial Address
Jl. S.M Raja No. 126 A Km 3.5 Aek Tapa, Rantauprapat, Kabupaten Labuhanbatu, Sumatera Utara, Indonesia
Location
Kab. labuhanbatu,
Sumatera utara
INDONESIA
Informatika
ISSN : 23032863     EISSN : 26151855     DOI : 10.36987
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.
Articles 24 Documents
Search results for , issue "Vol 12, No 2 (2024): INFORMATIKA" : 24 Documents clear
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.
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.
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.
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 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.
Pengaruh Pengangguran, Kemiskinan dan Indeks Pembangunan Manusia Terhadap Upah Minimum di Provinsi BantenTahun 2008-2023 Albariq, Abid Dimas; Prasetyo, Andi Anugerah; Ilyas, Fakhry; Aryatama, Ravy Muhammad; Revaljo, Revaljo; 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.v12i2.5735

Abstract

During 2008-2023 , the Banten region experienced various social, monetary, and strategic changes that could affect the minimum wage level for the workforce. In this situation, it is important to distinguish the fundamental elements that affect the minium wage. such as unemployment, poverty, and Human Development Index (HDI).The purpose of this study is to determine how the influence of unemployment, poverty, and Human Development Index on the minimum wage in Banten province period 2008-2023. The Data used in this study is a time series data sourced from BPS Banten 2008-2023. This study uses the method of analysis of multiple linear regression using EVIEWS application. This study provides the results that unemployment (X1), poverty (X2) and Human Development Index (X3) simultaneously (together) significantly affect poverty (Y) in Banten province period 2008-2023.
Penerapan Algoritma Dynamic Programming Dalam Penentuan Prioritas Pengerjaan Tugas Kuliah Mahasiswa Hidayat, Febrian Nur; Ferdinan, Bryan Desmonda; Saputra, Rendy; Christian, Efrans; Pranatawijaya, Viktor Handrianus
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.v12i2.5632

Abstract

College assignments are an essential part of every student’s learning process. However, the multitude of tasks from various subjects often leaves students confusedabout prioritizing their work. This research aims to assist students in effectively determining the priority of completing college assignments using a dynamic programming algorithm. This research uses a modeling method of various subjects as variables with different weights, such as deadlines and task difficulty levels. The dynamic programming algorithm is then used to find the optimal solution in completing all tasks, considering various possibilities, both deadlines and difficulty levels. This research has found that the application of the dynamic programming algorithm can create the best solution that takes into account all aspects and produces optimal schedulling in completimg tasks.  Althought it requires more time in the calculation process, this algorithm can also provide an optimal solution to help students complete their tasks efficiently and effectively. The application of this dynamic programming algorithm is expected to be a solution for students in completing their tasks better and avoiding stress due to task accumulation. Besides, this research also has the potential to benefit lecturers in assigning tasks to students by considering optimal capabilities and working time. Thus, this  research can help improve the quality of learning in higher education.
Pengaruh Kemiskinan dan Tingkat Pengangguran di Provinsi Aceh Terhadap Kesejahteraan Masyarakat Aceh Budiyanto, Rizki; Putra, Mohammad Hafidz Fadhlurrahman; Lubis, Ade Abdillah Hafizh; Wokas, Hamida; 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.v12i2.5821

Abstract

The purpose of this study is to see how poverty affects the welfare level of the people in Aceh Province. Poverty is a major problem that can hinder a country's economic and social progress. As an important part of Indonesia, poverty affects the welfare of people in Aceh Province. Secondary data collected from various credible sources was used for multiple linear regression data analysis. Per capita income level, education level, access to health services, and other factors that can affect people's welfare are the variables used in this study. According to the results of the analysis, poverty has a significant impact on people's welfare in Aceh Province. As a result, efforts to combat poverty should be increased by considering various components that can improve the overall quality of life of the people of Aceh. It is hoped that the results of this study will help policy makers create programs that will improve the welfare of the people of Aceh in a sustainable manner.
Pengaruh Kepemimpinan dan Pelatihan Terhadap Kinerja Melalui Komitmen Organisasi PT. Ujang Jaya International Muzdalifah, Muzdalifah
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.v12i2.5647

Abstract

The purpose of this research is to determine and analyze the influence of leadership on performance, the influence of training on performance, the influence of leadership on organizational commitment, the influence of training on organizational commitment, the influence of organizational commitment on performance, the influence of leadership on performance through organizational commitment, the influence of training on organizational commitment. the influence of training on performance through organizational commitment. This research uses a type of causal research using a quantitative approach with a sample of 92 respondents who are employees of Ujang Jaya Internasional. The data collection technique uses interviews and a list of statements such as a questionnaire and the data analysis technique uses Partial Least Square (SmartPls) to test the seven hypotheses proposed in this research. The results of the research show that leadership has a significant effect on performance, training has a significant effect on performance, leadership has a significant effect on organizational commitment, training has a significant effect on organizational commitment, leadership has a significant effect on performance through organizational commitment (in other words, organizational commitment acts as a mediator), training has a significant effect on performance through organizational commitment (in other words, organizational commitment acts as a mediator).
Pengimplementasian Tingkat Ketepatan Waktu Kelulusan Siswa (Studi Kasus Di MTS Nur Ibarhimy) Menggunakan Algoritma C4.5 Amansyah, Rizky; Masrizal, Masrizal; Munthe, Ibnu Rasyid
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.v12i2.5767

Abstract

Education has a very important role in shaping the individual and directing the development of society. As an educational institution, MTS Nur Ibrahimy has a responsibility to improve the quality and efficiency in the implementation of Education. MTS Nur Ibrahimy is located in Rantauprapat, Rantau Selatan district, Labuhanbatu Regency. MTs Nur Ibrahimy has been established since 2000 and has produced a number of students who successfully completed their education at this school. Along with technological advances, pattern exploration can be done by using data classification techniques obtained through the data mining process. Data mining is generally done because of the large amount of data, which can be used to generate patterns and useful knowledge in the business operations of a company. One of the methods developed in data mining is a way to dig up existing data to build a model, and then use the model to recognize other data patterns that are not contained in the stored database. In this context, a classification model is created to identify data patterns related to "Passed" or "not passed" status classes, based on pattern Determination results from training data. The Decision Trees Model is an implementation of the classification model in data mining. This Model builds a decision tree from training data consisting of records in a database. The C4.5 algorithm is one of the data classification algorithms that uses decision tree techniques and is able to manage numerical (continuous) and discrete data, and can handle missing attribute values. This algorithm produces rules that are easy to interpret. C4.5 has been tested in various classification cases, including in medical, trade, personnel, and various other fields.

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