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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Building of Informatics, Technology and Science Informatika International Journal Of Science, Technology & Management (IJSTM) Journal of Computer Science and Information Systems (JCoInS) IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Masyarakat Gemilang (JPMG)
Nasution, Marnis
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Journal : Informatika

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Sistem Pengambilan Keputusan Untuk Pengolahan Data Siswa Penerima Bantuan Belajar Komputer Gratis Sofiani, Anggi; Nasution, Marnis; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.5992

Abstract

Students play an important role in learning computers, especially in the process of education and learning. According to Law No. 14 of 2005 article 51 paragraph 1 item b states that students are entitled to receive awards for their performance during computer Learning . On the other hand, information technology continues to develop rapidly, one of the developments in information technology is the emergence of Decision Support Systems. Decision support system is a system that helps decision makers in making a decision.There are many methods or algorithms that can be used in decision support systems, including Weighted Product (WP), TOPSIS, Simple Addictive Weighting (SAW), Analytical Hierarchy Process (AHP) methods and others. Analytical Hierarchy Process (AHP) method is one method that has been widely used in Decision Support Systems. This method has the ability to measure the degree of consistency of the decisions to be made. One of the consistency calculations performed in the AHP method is the calculation of the consistency ratio, which in this calculation is done using the value of the random index (IR). Over time, many researchers have conducted research on the value of the Analytical Hierarchy Process random index, so there are many new random index values in addition to the AHP random index found by students.
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 Kinerja Sistem Informasi SMK Swasta Pemda Saputri, Yuni; Nasution, Marnis; Masrizal, Masrizal
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6120

Abstract

This research aims to analyze the performance of the information system used in local government private vocational schools, which plays an important role in supporting the smooth operation of schools, including the teaching and learning process, administration and financial management. The research method used is benchmarking, which involves collecting data through interviews, observations and questionnaires. The research results show that the existing information system still has several weaknesses, such as lack of integration between systems, inaccurate data reporting, and low efficiency in data processing. Based on these findings, this research provides recommendations for improving the information system in local government private vocational schools to make it more effective and efficient in supporting school activities.
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.
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 .
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.
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 (2024): 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 Prediksi Prestasi Siswa UPTD SD Negeri 30 Aek Batu Dalam Machine Learning Dengan Metode Naive Bayes Ambarita, Mira Nanda; Nasution, Marnis; Ah, Rahma Muti
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6101

Abstract

Education is one of the efforts made to determine the success of a nation, successful education will continue to produce a good generation as well. Along with the rapid global challenges, the challenges of the world of education are becoming greater, this aspect that encourages learners to achieve the best achievements. Given the presence of teachers in the process of teaching and learning activities is very influential, it should be the quality of teachers must be considered. The problem that often occurs in every school, especially in UPTD SD Negeri 30 AEK Batu, is that there are many students who are lazy to learn, students who lack fun lessons, do not have attention to what has been learned, school assignments are a burden, learning outcomes are only to go to class or graduate from school and school just to meet friends and get pocket money. Therefore, to predict the achievements of different students, the education of UPTD SD Negeri 30 AEK Batu requires accurate data on student achievement so that it can be a reference for education to better know the achievements of students who excel and underachieve.  Application of student achievement prediction UPTD SD Negeri 30 AEK Batu in machine learning with naive bayes method can be solved well or not.
Analisis Data Mining Absensi Siswa SMP Negeri 1 Bilah Barat Dengan Metode Algoritma K-Means Cluestering Sinurat, Shondy Raja Ferdinand; Nasution, Marnis; Ah, Rahma Muti
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.v12i2.5773

Abstract

The presence of students in Junior High School has significant implications in the world of Education. The success of education depends not only on the content of the curriculum and the quality of teaching, but is also strongly linked to the extent to which students are regularly present at school. The problem of student absenteeism in junior high school is an issue that should not be ignored, as it can negatively affect academic achievement, the development of social skills, and the overall educational experience of students. A student's absence from school can be caused by a complex of factors. These factors include personal problems such as lack of motivation, family problems such as domestic conflicts, poor physical or mental health, as well as environmental factors such as school accessibility. A deep understanding of the reasons behind student absenteeism is an important first step to addressing this problem. Student attendance Data that has been accumulated over the past 6 months can be a valuable source of information in analyzing student attendance. However, extracting useful information from large and complex attendance data is a challenging task. This is where Data Mining comes in. Data Mining is an approach that enables the identification of patterns, trends, and valuable information in large and complex data. 
Co-Authors Ah, Rahma Muti Ahmad Habibullah, Imam Akbar Ritonga, Ali Ambarita, Mira Nanda Andini, Novira Dwi Bangun, Budianto Cahya, Susilo Tiadi Cahyani, Nilam Hasibuan, Ardiansyah Hasibuan, Muhammad Adlin Irmayani, Deci Irmayanti Irmayanti, Irmayanti Juledi, Angga Putra Lestari, Putri Anggraini Muhammad Halmi Dar Munthe, Ibnu Rasyid Muti'ah, Rahma Muti’ah, Rahma Nurjannah, Eka Pohan, Sentosa Purba, Cinrewina Putri Lestari, Putri Rambe, Diana Indriani Rambe, Inny Rahayu Rasyid Munthe, Ibnu Ray Silaen, Belinda Ritonga, Irmayanti Rohani Rohani Salsabila, Aulia Santika, Linda Saputri, Yuni Sinurat, Shondy Raja Ferdinand Siregar, Peni Ungkasara Sofiani, Anggi Syah, Rahmayuni Syaiful Zuhri Harahap ZURAIDAH ZURAIDAH