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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika 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 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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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.
Kepatuhan Pembayaran Pajak Kendaraan Bermotor Menggunakan Algoritma Decision Tree Dan Random Forest Di Samsat Balige Wijaya, Alief Achmad; Harahap, Syaiful Zuhri; Ah, Rahma Muti; Nasution, Marnis
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.v6i3.7934

Abstract

This study aims to analyze and predict the total category of Motor Vehicle Tax (PKB) payments based on payment attributes and vehicle types, which is important to improve the effectiveness of tax management and support more appropriate decision making in related agencies; within the theoretical framework, classification models such as Decision Tree and Random Forest are used to predict data categories by utilizing historical patterns in the dataset, because these algorithms are able to capture interactions between attributes and provide logical interpretations of the prediction results; the research methodology is carried out using secondary data of PKB payments for 2024 from Samsat Balige, which is divided into training data and test data for the classification process and its performance is evaluated using accuracy, precision, recall, and F1-Score metrics through the Performance operator in RapidMiner; the results of the study show that Random Forest produces a more balanced prediction distribution with 100% accuracy, while Decision Tree has 96% accuracy but tends to be biased towards the “Low” category, and analysis of important attributes such as Fines, Total Amount, and the number of Jeep and Truck type vehicles shows a significant influence on the PKB payment category; Thus, the research conclusion confirms that Random Forest is proven to be more effective and stable than Decision Tree in predicting the total PKB payment category, is able to capture complex patterns between attributes, and provides accurate predictions on relatively small datasets, making it the optimal choice for PKB data classification.
Analisa Perancangan Sistem Informasi Pada Toko Rafatar Berbasis Web Menggunakan PHP MySQL Pane, Dinda Nurinayah; Masrizal, Masrizal; Harahap, Syaiful Zuhri; Munthe, Ibnu Rasyid
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.v6i3.7893

Abstract

Rafatar stores today still rely on manual sales systems that are prone to human error, inefficient, and make inventory management difficult. This study aims to design and build a website-based sales system to overcome these problems. The system was developed using the PHP programming language and MySQL database to improve operational efficiency, data accuracy, and expand market reach. For inventory management, this study applies the FIFO method (First-In, First-Out) to ensure accurate stock management and minimize the risk of loss. The development of this website is expected to increase the competitiveness of Rafatar stores in a competitive market.
Analisis Kepuasan Masyarakat Terhadap Kinerja Bupati Labuhanbatu Selatan Periode 2021-2024 Menggunakan Metode Decision Tree dan Naive Bayes Ramadhani, Ramadhani; Harahap, Syaiful Zuhri; Suryadi, Sudi; Masrizal, Masrizal
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.v6i3.7971

Abstract

This study was conducted to analyze the level of customer satisfaction with services by comparing the performance of two classification methods, namely Decision Tree and Naive Bayes, so that an accurate model can be obtained to assist decision making. This problem is important because understanding customer satisfaction patterns can be a strategic basis in improving service quality and maintaining loyalty. The theoretical basis used refers to the concept of machine learning classification, where Decision Tree forms a branching rule-based model based on attributes, while Naive Bayes relies on probability calculations based on Bayes' theorem with the assumption of independence between features. The research methodology includes data collection stages, pre-processing to ensure data quality, model training with both methods, and performance evaluation using Test & Score and Confusion Matrix. Based on the classification results, the Decision Tree method produces fairly good accuracy, precision, and recall, but the Naive Bayes method shows higher performance with an accuracy of 91.67%, a precision of the "Satisfied" class of 98.11%, and a recall of 92.86%, which indicates a very good level of prediction accuracy especially for the majority class. Evaluation of both methods shows that Naive Bayes excels in capturing existing data patterns, although Decision Tree still has good interpretability for classification rule analysis. In conclusion, both methods are capable of classifying customer satisfaction data with adequate performance, but Naive Bayes is recommended as the primary model due to its higher and more consistent evaluation results, while Decision Tree can be used as an alternative when model interpretation is a priority.
Model Prediktif Kepuasan Pelanggan Pada Hotel Platinum Menggunakan Motode K-Means Clustering Siregar, Siti Kholijah; Harahap, Syaiful Zuhri; Ah, Rahma Muti; Munthe, Ibnu Rasyid
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.v6i3.7935

Abstract

Customer satisfaction is a key pillar of success in the competitive hospitality industry, directly impacting loyalty and profitability. Recognizing this, Platinum hotels need the ability to predict guest satisfaction in order to refine their service strategies. This study focuses on the development of predictive models of customer satisfaction at Platinum hotel using the K-Means Clustering method. This method was chosen because of its effectiveness in grouping complex data into homogeneous segments based on common characteristics. Customer Data will be grouped by attributes of their stay to identify different segments of customers with unique levels of satisfaction and preferences. It is hoped that this model can provide deep insights into customer profiles, reveal hidden patterns, and predict future guest expectations. The results of this study will contribute to improving the quality of Service and strategic decision-making at Platinum hotels and can be a reference for the hospitality industry in implementing a data-driven approach.
Implementasi Sistem Informasi Perpustakaan Untuk GBI Antiokhia Berbasis Web Menggunakan Framework Adonis JS Pada Node JS Menggunakan Metode Prototype Christoval, Peter; Harahap, Syaiful Zuhri; Nasution, Marnis; Masrizal, Masrizal
Jurnal Pendidikan Indonesia Vol. 6 No. 8 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i8.8530

Abstract

Church libraries play a crucial role in supporting literacy and spiritual growth by providing various reading materials such as religious books, Bible references, and other supporting literature. However, manual library management still presents significant challenges, such as recording errors, book discrepancies, inaccurate fine calculations, and difficulty in accessing past reports, which hampers system efficiency. As the collection grows, the manual system becomes increasingly inefficient, prone to data loss, and cumbersome for information retrieval. Therefore, a web-based library management system is needed to automate the processes of collection management, book borrowing, and return, while ensuring data security and accuracy. This study aims to design and develop a web-based library information system for GBI Antiokhia, utilizing the AdonisJS technology stack, to address these challenges. The system is developed using the Prototyping method, ensuring user interaction and feedback throughout the development process. The system’s features include member data management, book management, borrowing and returning books, fine management, and report generation, all built to be efficient, secure, and user-friendly. This research also examines how the implemented system can solve the existing library management issues and improve operational effectiveness.
PENINGKATAN PEMAHAMAN DAN MINAT GENERASI MUDA SERHADAP AL-QUR’AN MELALUI PENYULUHAN AGAMA BERBASIS MUSABAQAH TILAWATIL QUR’AN (MTQ) PADA SANTRI DI LABUHAN BILIK Hansyah, Praida; Amin, Mhd.; Hanif, Khairil; Rafika, Mulya; Harahap, Syaiful Zuhri; Sari, Kurnia Tika
JURNAL PKM IKA BINA EN PABOLO Vol 5, No 2: PENGABDIAN KEPADA MASYARAKAT | JULI 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ikabinaenpabolo.v5i2.7797

Abstract

AbstractThis community service activity aims to enhance young people's understanding and interest in the Qur'an through a religious outreach approach based on the Musabaqah Tilawatil Qur'an (MTQ) in Labuhanbatu Regency. The background of this program stems from the declining interest in learning the Qur'an due to the influence of digital technology, the lack of non-formal religious education, and minimal community involvement in promoting Qur’anic values. The implementation methods include religious counseling, tilawah training, MTQ simulation, and both quantitative and qualitative evaluations. The results show that participant attendance reached 120%, with a significant improvement in Qur’anic reading skills and understanding. In addition, two Qur’anic learning groups were established, and the service team was invited to serve as judges at the sub-district level MTQ. This program successfully fostered synergy between higher education institutions, local communities, and religious bodies in collaboratively nurturing a Qur’anic generation in a sustainable manner.Keywords: Musabaqah Tilawatil Qur’an, community service, youth, religious counseling, Qur’an. AbstrakKegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan minat generasi muda terhadap Al-Qur’an melalui pendekatan penyuluhan agama yang berbasis Musabaqah Tilawatil Qur’an (MTQ) di Kabupaten Labuhanbatu. Kegiatan ini dilatarbelakangi oleh menurunnya minat belajar Al-Qur’an akibat pengaruh teknologi informasi, lemahnya pembinaan nonformal, dan kurangnya keterlibatan masyarakat dalam penguatan nilai-nilai Qur’ani. Metode pelaksanaan dilakukan melalui penyuluhan, pelatihan tilawah, dan simulasi MTQ, serta evaluasi hasil secara kuantitatif dan kualitatif. Hasil menunjukkan partisipasi peserta mencapai 120%, dengan peningkatan pemahaman dan keterampilan tilawah yang signifikan. Selain itu, terbentuk dua kelompok belajar Al-Qur’an dan tim pengabdian turut diundang menjadi dewan juri MTQ tingkat kecamatan. Kegiatan ini dinilai berhasil menciptakan sinergi antara perguruan tinggi, masyarakat, dan lembaga keagamaan dalam membina generasi Qur’ani secara kolaboratif dan berkelanjutan.Kata Kunci: Musabaqah Tilawatil Qur’an, pengabdian masyarakat, generasi muda, penyuluhan agama, Al-Qur’an.
Co-Authors Ade Parlaungan Nasution, Ade Parlaungan Agustina Manurung, Cindy Ah, Rahma Muti Aini, Putri Aisyah Hayati Ali Akbar Ritonga Amanda Dwi Putri Amin, Mhd. Andini, Novira Dwi Andriani, Nur Putri ANTIKA, DEWI Aprilianto, Muhammad Ardiansyah, Rizaldi Bangun, Budianto Bilatasya, Yolanda Cahya, Susilo Tiadi Christoval, Peter Dalimunthe, Annisa Putri Faradilah, Rahma Fatma, Nurul Febriyanti, Ade Eka Hanif, Khairil Hansyah, Praida Harahap, Vivi Nadenia Hasibuan, Mila Nirmala Sari Hasibuan, Muhammad Adlin Hasibuan, Muhammad Irwansyah Hasibuan, Taufik Molid Hidayat Hermika, Eva Ibnu Rasyid Munthe Irmayani, Deci Irmayanti Irmayanti Irmayanti, Irmayanti Irmayati, Irmayati Iwan Purnama Iwan Purnama JP, Gafar Ilyaz Juledi, Angga Putra Juwita Juwita, Juwita Laila Sari Lestari, Putri Anggraini Lianah Lianah, Lianah Listia, Bella Ayu Lubis, Nadira Jannah Adeni M, Nelvi Nurrizqi Marnis Nasution Masrizal Megawati Pasaribu Meidy Putra Panusunan Siregar Melisa Melisa Melyani, Sri Mira Handayani Siregar Mth, Sri Rezky Aprilawati Br Muhammad Halmi Dar Munthe, Ibnu Rasyid Musthafha Haris Munandar Muti’ah, Rahma Naibaho, Restu Fauzy Nasution, Fahri Emil Afandi Nasution, Fitri Aini Nasution, Intan Baiduri Nasution, Khodijah Nasution, Marnis Novita, Rini Pane, Dinda Nurinayah Panjaitan, Nia Putri Pasaribu, Nova Tresia Patriya, Angga Prayoga 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 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 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