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All Journal Informatika Journal of Computer Science and Information Systems (JCoInS) Journal of Student Development Information System (JoSDIS)
Ritonga, Irmayanti
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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.
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 .
Analisis K-Means dan Naive Bayes Untuk Pengelompokan Rawan Bencana di Daerah Kabupaten Labuhanbatu Lubis, Nadira Jannah Adeni; Harahap, Syaiful Zuhri; 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.v12i1.5492

Abstract

A natural disaster is an event that arises from the state of nature and has a significant impact on humans. Natural disasters can include events such as floods, volcanic eruptions, earthquakes, tsunamis, landslides, blizzards, droughts, hail, heat waves, hurricanes, tropical storms, typhoons, tornadoes, wildfires, and the spread of disease.Natural disasters that hit Labuhanbatu Regency include various types, such as floods, fires, tornadoes, and landslides. Each region within the district has specific characteristics associated with a particular type of natural disaster. In order to understand the level of vulnerability to disasters in Labuhanbatu District, K-Means and Naive Bayes methods are implemented to classify the level of vulnerability to frequent disasters.The results of this analysis will improve understanding of the level of vulnerability to disasters in Labuhan Batu Regency, enabling interested parties to identify areas that require increased attention in disaster mitigation and management efforts. In addition, the use of a combination of K-Means and Naive Bayes methods can serve as a solid basis for the development of more effective early warning systems in the future.
Application Of Data Mining In Selecting Superior Products Using The K-Means And K-Medoids Algorithm Methods Hermika, Eva; Harahap, Syaiful Zuhri; Ritonga, 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.v12i3.5968

Abstract

As a supermarket, we are committed to always improving everything, including selecting the greatest goods. To evaluate which items are more superior or popular and which are less popular, you will want a sizable amount of information sources. To select products and identify those that belong in the superior product cluster, researchers employed the clustering method. The clustering strategy uses two forms of cluster analysis, k-means and k-medoids, which have related techniques. The research results show that the k-means algorithm's Davies Bouldin value is -0.430, whereas the k-medoids algorithm's Davies Bouldin value is -1.392. This suggests that the Davies Bouldin value of the k-medoids approach is the lowest, showing that the grouping findings of the k-means method are  a better method to apply to the issue of choosing better products.
Analisis Sistem Antrian Dan Optimalisasi Layannan Pada Indomaret Padang Bulan Rantau Prapat Pasaribu, Teguh Fadillah Alwi; Anistasya, Tiara; Syahfitri, Novi; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 1: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6852

Abstract

This study aims to analyze the queuing system and optimize services at Indomaret Padang Bulan Rantauprapat. Using the Multi-Channel Single-Phase queue model, the research identifies service levels and the optimal number of cashiers needed to minimize customer waiting time, especially during peak hours. Data was collected through direct observation over three days, between 12:00 PM and 8:00 PM, with the highest arrival rate observed from 4:00 PM to 5:00 PM. Calculations were conducted using QM for Windows software. The analysis results show an average server utilization rate of 17%, with nearly zero waiting time, indicating sufficient service capacity. These findings demonstrate that with two efficiently operated cashiers, Indomaret can provide optimal services without long queues, making it one of the retail stores with the best service system.
Analisis Sistem Antrian Pada Brilink Elvi Juliani di Jalan Sirandorung Rantauprapat Dengan Model Antrian Single Chanel-Single Phase Pola M/M/1 Choirunnisa, Mutiara; Harahap, Rizky Pratama; Pulungan, Riezka Amalia; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 2: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6980

Abstract

The queuing system at BRILink Elvi Juliani on Jalan Sirandorung, Rantauprapat, uses the M/M/1 queuing model to optimize banking services. Data were obtained from observations during one operational day, involving analysis of customer arrivals and service times. The results showed that the average number of customers in the system (LS) was 0.065 customers, while the average number of customers in the queue (Lq) was 0.0004 customers, indicating a very minimal queue. The average customer waiting time in the system (Ws) was recorded at 3 minutes, with an average waiting time in the queue (Wq) of 1.8 minutes. The service busyness level (ρ) was 6.13%, indicating that the service capacity was still sufficient. With high service efficiency, this study provides insight into improving the quality of BRILink services, especially in handling higher customer volumes in the future.
Memaksimalkan Keuntungan Dari Jasa dan Layanan di Bisnis Fotocopy Egy Kom Menggunakan Metode Simpleks Chaniago, M. Fikri Al Hafiz; Syahputra, Egy Fahmi; Ubaidillah, Muhammad Sa’i; Rijal, Ahmad; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 2: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6970

Abstract

Using the simplex method linear program operational research technique in the photocopy business is a smart strategy for optimizing business profits to become more efficient, by making better use of resources. In this article, we will discuss how to optimize service price profits, which is an important aspect in small and medium business management, especially in the field of printing services. This article discusses factors that influence the price profitability of photocopying services, including the cost of photocopying services. This research also explores customer interest in set prices. The method used involves a survey of photocopying service providers in certain areas, as well as data analysis of operational costs and commonly applied price structures. The results show that maximum competitive pricing benefits can be achieved with operational efficiency and a deep understanding of customer preferences. From the analysis carried out, it is proven that operational research techniques provide practical and easy to implement solutions. As a result, the photocopy business can be more competitive and survive amidst increasingly fierce competition
Perhitungan Manual Dan Analisis Sistem Antrian di Gerai Ice Cream Mixue Jl. Ahmad Yani Rantau Prapat Jantina, Wiola Eka; Pitaloka, Lola Jenny; Fernando, Yogi; Saputra, Yogi; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 1: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6942

Abstract

Queues are an unavoidable phenomenon today, manufacturing and service companies are required to be able to reduce queues in providing their services to customers. The development of the food and beverage industry is currently growing very rapidly. The food and beverage industry is still a mainstay for Indonesia's economic growth and was able to grow by 8.41% in 2018. Mixue is a food and beverage industry, the current problem is the dense queues that occur so that there is a buildup of customers and a long waiting time to be served. This data was taken for 2 days, October 20 and 26, 2024 at 12:00-22:00. The results of this study indicate that the queue system that occurs at Mixue is not optimal.
Analisis Antrian Dan Solusi Optimalisasi Pada Pelayanan Miniso di Suzuya Mall Rantauprapat Sofyan, Hadron; Maulana, Rezky; Wardana, Priya; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 1: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6855

Abstract

This study aims to analyze the queuing system at Miniso's services in Suzuya Mall Rantauprapat, focusing on queue patterns, service efficiency, and optimization solutions. Using the M/M/1 queue theory model, the study reveals an imbalance in service capacity, especially during peak hours, leading to increased customer waiting times and decreased satisfaction levels. Proposed solutions include adding more cashiers, implementing an electronic queue system, and scheduling work shifts based on data. These strategies are expected to reduce waiting times, enhance operational efficiency, and provide a better customer experience.
Analisis Dan Optimalisasi Stok Barang di Toko Acc RPH Dengan Metode Program Linear Nasution, Adinda Ayu; Rambe, Ulfa Ufrona; Harahap, Ayu Sari; Sartika, Tiara; Ritonga, Irmayanti
Journal of Computer Science and Information System(JCoInS) Vol 6, No 2: JCoIns | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i1.6952

Abstract

Competition in the business world is becoming increasingly complex, especially in the rapidly growing mobile accessories industry. This study aims to analyze and optimize inventory management at Toko Acc RPH using the linear programming method. By considering market demand, production capacity, and profitability, this research applies the simplex method in linear programming to determine the optimal quantity of products to be stocked. The data used in this study includes inventory levels, selling prices, production quantities, and store demand. Analysis was conducted using QM for Windows software to obtain optimal stock distribution solutions. The results show that the store's inventory management strategy is efficient, ensuring that customers do not experience stock shortages despite limited inventory levels. Thus, the use of linear programming proves effective in optimizing inventory and improving operational efficiency.
Co-Authors Ananda, Muhammad Rizki Ananta, Yuli Dhea Anggraini, Dela Anistasah, Cindy Anistasya, Tiara Ariani, Lisa Audya, Anggi Bahri, Sri Mawarni Chahira, Mayang Chaniago, M. Fikri Al Hafiz Choirunnisa, Mutiara Christoval, Peter Dasopang, Khoirunisa Domo, Alfun Khoir Erviyanti, Anggi Febriani, Sindi Fitria, Annisa Pribadi Harahap, Ayu Sari Harahap, Fadilla Arba Harahap, Muhammad Irham Harahap, Rini Rizkyana Harahap, Rizky Pratama Harahap, Saima Putri Harahap, Sri Handayani Hasibuan, Ardiansyah Hasibuan, Cahaya Nabila Hasibuan, Mhd. Sahdani Rafli Hasibuan, Mustapa Ali Hasibuan, Vivi Indriani Hasibuan, Zamrotus Sholeha Hermika, Eva Humairoh, Arsy Irawan, M Fahri Jantina, Wiola Eka Kurnia, Ega Kurniawan, Juliardi Laila Sari Lubis, Nadira Jannah Adeni Manja, Dwi Putri Manurung, Elisabeth Natasya Marianti, Nike Mariyuandra, Alfanny Maulana, Rezky Nasution, Adinda Ayu Nasution, Aldi Nasution, Iwan Nasution, Marnis Nisa Adelia, Nisa Nisa, Tarbiyatun Nst, Mayang Alvi Perdana Nurmala Panjaitan Nurul Huda Panjaitan, Hadid Akhyarsyah Pasaribu, Hasyim Pasaribu, Teguh Fadillah Alwi Pefrianti, Lenni Pitaloka, Lola Jenny Pramudita, Dewi Pratiwi, Cindi Priyanti, Dinda Octa Pulungan, Riezka Amalia Puspita, Rinda Putri, Pujawati Kurnia Rahma, Aulia Ramadhani Ramadhani Rambe, Anisah Rahma Rambe, Boby Pratama Rambe, Dedi Purnama Rambe, Ulfa Ufrona Ranandia, Windi Reza, Aldito Fiter Vanesa Rijal, Ahmad Risnawati Risnawati Ritonga, Akbar Pramuja Ritonga, Laila Hasanah Ritonga, Rista Andini Rubaini, Mingle Oktaria Sartika, Tiara Silaen, Siti Humairoh Silvana, Mega Simanjuntak, Hoirun Nisyah Simatupang, Leni Darsima Sinta, Evi Yulia Sirait, Roby Gusmawan Siregar, Jogi Anggita Siregar, Nurhindun Sya’ada Siregar, Salsa Dea Oktavianda Siti, Siti Situmorang, Bima Muhammad Sofyan, Hadron Srikandy, Yuyun Lili Sukani, Sri Rejeki Suratika, Nadya Syahfitri, Diana Syahfitri, Novi Syahputra, Egy Fahmi Syahputri, Tria Syaiful Zuhri Harahap Tanjung, Eka Agustin Ubaidillah, Muhammad Sa’i Urrizka, Annisa Wardana, Priya Wati, Yulia Prestia Wijaya, Alief Achmad Yogi Fernando, Yogi Yogi Saputra, Yogi Yudha, Hasan Wira Yuni, Elfi Zahra Yusfina, Yusfina