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All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknik Informatika UNIKA Santo Thomas Building of Informatics, Technology and Science Jurnal Mantik Informatika Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing International Journal of Business, Technology, and Organizational Behavior (IJBTOB) Majalah Ilmiah UPI YPTK Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Computer Science and Information Systems (JCoInS) IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Journal of Student Development Information System (JoSDIS) Jurnal Pendidikan Indonesia (Japendi)
Syaiful Zuhri Harahap
Universitas Labuhanbatu
Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Rancang Bangun Sistem Informasi Anime Premium dan Non Premium Berbasis Web Dengan Menggunakan Metode Waterfall Pasaribu, Nova Tresia; Masrizal, Masrizal; Harahap, Syaiful Zuhri
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.v12i1.5494

Abstract

Anime is a form of Japanese animation that can be created in the traditional way using hand drawing or using computer technology. Anime was introduced in Indonesia in the 1970s, but its popularity only increased in the 1990s after the airing of Doraemon on television stations. With the advancement of Information Technology, the spread of Anime is expanding. The availability of the internet allows viewers to enjoy Anime in streaming, so Anime can be accessed by anyone, anytime, and anywhere according to the wishes of the audience. Currently, Anime has experienced significant progress when compared to the past. Therefore, a number of people consider it more artistic in nature compared to Anime in the previous period. It should be noted that the images in Anime have become more proportional, colors are better, and the presence of HD (High Definition) technology improves the quality of the video, making it more interesting and understandable. Along with the spread of Anime through online platforms, audience interest in exploring various Anime has also increased, so a website-based information system is needed. Therefore, it is necessary to design and build an information system that is able to provide comprehensive access to various types of Anime, both Premium and non-Premium, in an integrated manner. An appropriate method of designing and building software is needed to ensure that this information system can meet the needs of users effectively. One method that can be used is the Waterfall method.
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.
Rancang Bangun Sistem Antrian Online Menggunakan Metode Single Channel-Multi Phase Studi Pada Dinas Sosial Kabupaten Labuhanbatu Sirait, Roby Gusmawan; 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.v12i1.5473

Abstract

Labuhanbatu District Social Office is an institution implementing social affairs of government under and responsible to the head of the region (Regent).  In this case the Labuhanbatu District Social Service Office applies many arrangements in between what happens. The way that is done is very manual, namely by setting the queue NumberOne by one. With a very small limit on the number of passengers, this causes queues to accumulate, coupled with situations that affect his daily life. In the process of service that is done, there is a way of service that must be done because a lot of attention should be paid to the way the service is done now is not very effective. So it is necessary to create a simulation of community service system that can identify community services in the Office of Social Services Labuhanbatu District. During the service takes place the time needed between one another in getting the service to be efficient first came to be served in the service. The reason for the research using this topic is that research on the topic is still not done in the Labuhanbatu District Social Service with Inter-system using Single Channel-Multi Phase method.  So that the Social Service of Labuhanbatu Regency can serve the community to the maximum and the community feels comfortable and fair.
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.
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 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.
Rancang Bangun Sistem Informasi Persediaan Barang Pecah Belah Berbasis Web (Studi Kasus Toko Podomoro) Dengan Metode Fifo Dan Lifo Patriya, Angga Prayoga; Harahap, Syaiful Zuhri; Juledi, Angga Putra
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.v12i1.5493

Abstract

Toko Podomoro is a glassware store that requires a fast and accurate data processing information system to facilitate the work. In modern times like today, Podomoro stores still use recording on books that have not been computerized. Purchase of goods and expenditure of goods is still manual by recording the data of incoming goods and goods out of the warehouse, hence the frequent occurrence of errors in the processing of incoming and outgoing goods data. While making a report that will be made is also still using expenditure records manually by writing in the book, not to mention the record of the purchase of lost goods, which is very important because of the evidence of the reports made. Therefore, it is necessary to have a system of goods investment in Podomoro stores to make it easier for store owners to input goods and stock reports, purchase and expenditure reports.
Peningkatan Efisiensi dan Penjualan Toko Fashion Outlet Rantauprapat di Jalan Sisingamangaraja Melalui Implementasi E-Commerce PrestaShop Nasution, Intan Baiduri; Harahap, Syaiful Zuhri; Juledi, Angga Putra
Journal of Computer Science and Information System(JCoInS) Vol 5, No 4: JCoInS | 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v5i4.6805

Abstract

The purpose of this study is to assess the impact of implementing the PrestaShop e-commerce platform on the efficiency and sales of Fashion Outlet Rantauprapat on Sisingamangaraja. Using a case study approach using quantitative and qualitative data, this study analyzes purchase data before to and after PrestaShop implementation, as well as conducts research with store owners. The results of the study show that PrestaShop significantly improves operational efficiency, reduces market volatility, and increases sales. However, challenges such as a lack of technical knowledge and skills must be addressed. This study found that PrestaShop has a large potential to become an effective tool for Fashion Outlet Rantauprapat in terms of increasing sales in the digital era.
Meningkatkan Indeks Penjualan Thriftting Sepatu di Pasar Gelugur Rantau Prapat dengan Strategi Penerapan PrestaShop Nasution, Fahri Emil Afandi; Harahap, Syaiful Zuhri; Nasution, Marnis
Journal of Computer Science and Information System(JCoInS) Vol 5, No 4: JCoInS | 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v5i4.6812

Abstract

To increase the sales index of Budi Shoes Thrift in the Glugur Rantauprapat market, this research will start developing e-commerce using CMS Prestashop. Data will be collected through observation and interviews with the owner of Budi Shoes Thrift.to understand customer preferences and buying and selling activities. Even though Prestashop allows easy online transactions, most users prefer to buy directly in store or use dropship services. The level of consumer trust in well-known local brand goods is the main component that influences this. Although Prestashop has tremendous potential to increase market and operational efficiency, effective promotion and outreach strategies are required to achieve success. The right strategy, which combines technology and increases customer trust, can drive Prestashop implementation, increase sales and strengthen market share.
Optimalisasi dan Strategi Penjualan Baju Thrifting Melalui Implementasi E-commerce CMS PrestaShop di Jalan Sigambal Rantauprapat Ardiansyah, Sandi; Harahap, Syaiful Zuhri; Munthe, Ibnu Rasyid
Journal of Computer Science and Information System(JCoInS) Vol 5, No 4: JCoInS | 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v5i4.6813

Abstract

Abstract This study aims to explore effective digital marketing strategies for enhancing thrift clothing sales in the era of information technology. With the rapid development of technology and increasing market competition, businesses that previously relied solely on social media platforms like Instagram now need to adapt by utilizing more professional e-commerce platforms. This research compares specific thrift platforms with websites using CMS Prestashop in attracting consumer attention. The methods employed include observation, interviews, and literature reviews, aiming to understand the interaction patterns between sellers and buyers, as well as the operational dynamics within thrift businesses. The findings are expected to provide valuable insights for entrepreneurs in formulating more effective digital marketing strategies, thereby increasing competitiveness and sustainability in an increasingly competitive market.
Co-Authors Ade Parlaungan Nasution, Ade Parlaungan Agustina Manurung, Cindy Ah, Rahma Muti Ahmad Yahdil Fata Rambe Aini, Putri Aisyah Hayati Ali Akbar Ritonga Amanda Dwi Putri Amin, Mhd. Andini, Novira Dwi ANTIKA, DEWI Aprilianto, Muhammad Arnol Hamonangan Simbolon Bangun, Budianto Bilatasya, Yolanda Cahya, Susilo Tiadi Christoval, Peter Dalimunthe, Annisa Putri Dapot Hutagalung Depita Sari Ritonga Erni Wahyuni Fatma, Nurul Hanif, Khairil Hansyah, Praida Harahap, Vivi Nadenia Hasibuan, Mila Nirmala Sari Hasibuan, Muhammad Irwansyah Ibnu Rasyid Munthe Irmayani, Deci Irmayanti Irmayanti Irmayanti, Irmayanti Irmayati, Irmayati Iwan Purnama JP, Gafar Ilyaz Juledi, Angga Putra Juwita Juwita, Juwita Khairil Hanif Laila Sari Lestari, Putri Anggraini Lianah Lianah, Lianah Lidia Sri Hardiyanti Listia, Bella Ayu Lubis, Nadira Jannah Adeni Marnis Nasution Masrizal Masrizal Masrizal Megawati Pasaribu Meidy Putra Panusunan Siregar Melyani, Sri Mhd. Amin Mira Handayani Siregar Mth, Sri Rezky Aprilawati Br Muhammad Halmi Dar Mulya Rafika Munthe, Ibnu Rasyid Musthafha Haris Munandar Muti’ah, Rahma Nasution, Fahri Emil Afandi Nasution, Fitri Aini Nasution, Intan Baiduri Nasution, Marnis Novita, Rini Pane, Dinda Nurinayah Pasaribu, Nova Tresia Patriya, Angga Prayoga Peter Christoval Praida Hansyah Pransiska, Apprillia Yudha Priyanti Priyanti Purba, Mhd. Rafly Putra, Fasdiansyah Putri Lestari, Putri Rafika, Mulya Rahma Muti’ah Ramadan, Ahmad Ramadhani Ramadhani Rambe, Aida Zahrah Hasanati Br Rambe, Nurhayati Rambey, Khiarul Akhyar Ritonga, Akbar Pramuja Ritonga, Ali Akbar Ritonga, Irmayanti Ritonga, Irmayanti SANDI ARDIANSYAH Sari, Kurnia Tika Sigit Prasetyo Nugroho Sihotang, Diko Pradana Sirait, Roby Gusmawan Siregar, Ade Elvi Rizki Siregar, Siti Kholijah Siregar, Siti Wahdina Sitepu, Melda Betaria Sitompul, Muhammad Sofyan Sri Mawarni Bahri Surbakti, M. Aufa Nayaka Fathan Suryadi, Sudi Suryadi, Sudi Syavitri, Tiara Wardani, Syafira Eka Wijaya, Alief Achmad Yeni Syahfutri S Yenni Syahfutri Sipahutar ZURAIDAH ZURAIDAH