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Journal : Journal of Computer Science and Information Systems (JCoInS)

Implementasi Prestashop Pengembangan Website Hingga Pemasaran Dan Logistik Pada Toko SS Galery Rantauprapat Juwita, Juwita; Harahap, Syaiful Zuhri; Bangun, Budianto
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.v5i4.6816

Abstract

This article discusses the implementation of PrestaShop in website development, marketing and logistics at the SS Galery Rantauprapat store. PrestaShop is an e-commerce platform designed to make it easier to create and manage online stores with features that support sales, including product management, payment systems, and sales analysis. In the context of SS Gallery, the implementation of PrestaShop aims to increase operational efficiency and expand market reach. The implementation process begins with designing a website that is responsive and user-friendly, allowing customers to access product information easily. The e-marketing features in PrestaShop are also used to increase product promotions, attract more customers and increase their loyalty. In addition, an integrated logistics system helps in managing goods delivery efficiently, reducing customer waiting time. The results of this research show that using PrestaShop not only increases sales productivity but also simplifies the marketing process and logistics management. In this way, SS Galery Rantauprapat can compete better in an increasingly competitive digital market. This research provides insight for other business actors about the importance of information technology in supporting business growth in the digital era.
Analisis Dampak Implementasi Sistem Informasi Manajemen Pada Efisiensi Proses Bisnis Kedai Kopi "Sahoeta Kopi" Wonosari Menggunakan Metode K Means Ardian, Aldi; Suryadi, Sudi; Nasution, Fitri Aini; Bangun, Budianto
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7974

Abstract

This study aims to perform clustering analysis on consumer data coffee shop “Sahoeta coffee” by using the method of K-Means clustering in RapidMiner Studio. The Data used include attributes of Consumer age, number of purchases per day, income per day, and capital per day. The clustering process divides the data into five different clusters, each with different characteristics in terms of purchases and revenue. The clustering results showed that Cluster 0 contained consumers with older age and more frequent shopping, while Cluster 1 contained younger consumers with lower purchases. Clusters 2, 3, and 4 show a pattern of consumers with higher incomes and capital, indicating that they have greater purchasing power. Visualization of clustering results provides a clear picture of consumer segments that can be used to design more specific marketing strategies.
Penerapan Metode Naïve Bayes Dalam Memprediksi Kepuasan Pelanggan Terhadap Pelayanan (Studi Kasus : Brastagi Supermarket Rantauprapat) Putra, Fasdiansyah; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti; Bangun, Budianto
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7938

Abstract

Supermarkets are crowded shopping centers and have a high potential for violations against consumers, especially because most of the products sold are basic foodstuffs. This study aims to predict the level of customer satisfaction with service in Brastagi supermarket Rantauprapat by applying the Naïve Bayes method of Data Mining algorithm. The primary data collection process is done through the distribution of online questionnaires using Google Form to customers. To ensure the validity of the data, further verification was carried out through direct interviews with customers as well as supermarket managers. The results of this study are expected to provide in-depth analysis and new information for the management of Brastagi Supermarket Rantauprapat regarding customer satisfaction, which can be used as a basis for improving service quality in the future.
Analisis Sentimen Ulasan Produk Suncreen Wardah Pada Marketplace Shopee Menggunakan Metode Naïve Bayes Rambe, Nurhayati; Harahap, Syaiful Zuhri; Ritonga, Ali Akbar; Bangun, Budianto
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7992

Abstract

The development of the digital world and the popularity of online marketplaces such as Shopee have changed the way consumers interact and review products. Reviews of Wardah sunscreen products, which have an important role in skin health, are one of the most widely found. Understanding the sentiment of these reviews is crucial for manufacturers to improve product quality. Therefore, this study aims to analyze and classify consumer sentiment towards Wardah sunscreen products on Shopee. Using the Naïve Bayes classification method, the reviews will be categorized into positive, negative, and neutral sentiments to get an overall picture of the public perception of the product.
Pengembangan Sistem Informasi Berbasis Web Sebagai Sistem Pengelolaan Nilai Sekolah Menengah Siswa SMP Negeri 2 Satap Kualuh Hilir Dengan Menggunakan Metode End User Computing Satisfacation Siregar, Ade Elvi Rizki; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti; Bangun, Budianto
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7879

Abstract

Research is a crucial element in the learning process to measure students ' understanding and evaluate the quality of Education. However, the process of managing student grades is often complicated, especially with dynamic curriculum changes in Indonesia, such as the transition from the 2013 curriculum to The Independent curriculum. Based on the problems in SMP Negeri 2 Satap Kualuh Hilir, this study aims to design and build a web-based student Value Management Information System. The development of this system is expected to be a solution to manage value more quickly, accurately, and efficiently. In addition, this system is designed to maximize the utilization of computer network facilities that are already available in schools, so as to assist teachers and schools in producing assessment reports that are in accordance with the applicable curriculum.
Analisis Sentimen Pelayanan Pembayaran Pajak Menggunakan Metode Algoritma Naïve Bayes Pada Kantor Badan Pendapatan Daerah Labuhanbatu Utara Dengan Menggunakan RapidMiner Purba, Mhd. Rafly; Harahap, Syaiful Zuhri; Nasution, Fitri Aini; Bangun, Budianto
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7959

Abstract

Improving the quality of Public Services is a major need in the era of digitalization, including in the local taxation sector related to the sentiment of services provided in tax payments. The purpose of this study was to analyze public sentiment towards tax payment services in the Office of the regional Revenue Agency (Bapenda) Labuhanbatu Utara by applying Naïve Bayes algorithm using Rapid Miner software. Data analysis through text preprocessing, feature selection, and sentiment classification into positive, negative, and neutral categories. The Data obtained consisted of 225 community comments from the SIMPATDA application and 612 tweets with the hashtag #pajakLabura from Twitter, which reflected people's opinions directly. The analysis process is carried out through the stages of text preprocessing, feature selection, to the classification of sentiments into positive, negative, and neutral categories. The results showed that the Naïve Bayes algorithm is able to classify public opinion with a high degree of accuracy and establish similarities/differences in the aspects of service that are most complained about or appreciated by the public. This study also contributes to the development of data-based evaluation system in the scope of public services.
Co-Authors Abdillah, Ihsan Abdul Karim Abdul Karim Abdul Karim Afrendi, Mohammad Agus Susanto Ahmad Habibullah, Imam Akbar Ritonga, Ali Ali Akbar Ritonga Alpiansyah, Fredy Anjar, Agus Ardian, Aldi Aritonang, Putri Armaini, Indah Azwar Try Afandi Barasa, Kristina Budi Febriani Dahrul Aman Harahap Dandi Febrian Dandi Febrian Dandi Febrianto Deci Irmayani Delima Harahap, Risma Dwi Fitriani Dwi Fitriani Elysa Rohayani Hasibuan Febriani, Lisa Febrianto, Dandi Fitri Aini Nasution Guna Dharma, Aditya Halawa, Prianus Hanggi Kurniawan Hari Mansah Harimansyah Harimansyah Harimansyah Harimansyah, Harimansyah Hary Syahputra Hasby, Anzila Hasibuan, Dilla Puspita Hutagalung, Charles Efendy Ibnu Rasyid Munthe Ibnu Rasyid Munthe Inez Chania Panjaitan Irmayani, Deci Irmayanti Irmayanti Irmayanti Irmayanti, Irmayanti Iwan Purnama Iwan Purnama Jati, Dewi Sekar Juwita Juwita, Juwita Karim, Abdul Karim Khailizah Khailizah Lubis, Rizky Ramadhan Hasan Masrizal Masrizal mawarni, Putri Sigit Mesran, Mesran Mila Nirmala Sari Hasibuan Muhammad Halmi Dar Muti'ah, Rahma Muwanti, Apri Naibaho, Sri Fitriani Nasution, Fitri Aini Nasution, Marnis Nona Oktari Novilda Elisabeth Mustamu Nurjannah Nurjannah Pane, Rahmadani Prayetno, Sugeng Prayetno, Sugeng Prayetno Purba, Mhd. Rafly Putra, Fasdiansyah Rahma Muti’ah Rakhmi Khalida Ramadani Pane Rambe, Nurhayati Ridho Kurniawan Riskawati Riskawati Risma Delima Harahap Ritonga, Ali Akbar Ritonga, Mulkan Rohani Rohani Rohanita Hasibuan, Lily Safitri, Nina Sakinah Sakinah Sari, Ely Novita Sianipar, Vitasari Sihombing, Volvo Siregar, Ade Elvi Rizki Siregar, Sakinah Ubudiyah Sitorus, Sahat Parulian Sulaiman, Syahrol Suryadi, Sudi Sutrisno Dwi Raharjo Syafitri, Risma Syahputra, Rapian Syahrol Sulaiman Syahrol Sulaiman Ritonga Syahrol Sulaiman Ritonga Syaiful Zuhri Harahap Syaiful Zuhri Harahap Tegar, Tegar Tria Wulandari Utami, Ulfa Windo Windo Tan Yusmaidar Sepriani Zakaria Pratama