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All Journal Journal Information System Development Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Manajemen Informatika dan Bisnis Digital Journal of Data Mining and Information Systems Jurnal Malikussaleh Mengabdi Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Teknologi Jaringan Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
Ade Maulana
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Perbandingan Analisis Sentimen Ulasan Aplikasi Ajaib Kripto Menggunakan Metode Naïve Bayes dan K-Nearest Neighbor Calvin Wendy; Ade Maulana
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 3 No. 2 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v3i2.3965

Abstract

Developments that occur in the investment sector make people interested in investing. The platform that is often used is the crypto magic application on the Google Play Store. Potential users see app reviews, which are based on user opinions and used as consideration before deciding to use the app. So data analysis is needed. One way of analyzing data is called sentiment analysis. There are many methods that can be used for sentiment analysis. So the author uses the Naive Bayes and K-Nearest Neighbor methods to find out a more accurate method. The data taken for this study is a review of the crypto magic application collected from 2022 to 2024 with 4784 data. Dataset through the stages of data division using k-fold cross validation with k=5, then the preprocessing stage, TF-IDF transformation, training Naive Bayes and KNN models with training data. The model was then tested on test data. The result is that the Naïve Bayes method provides an accuracy rate of 82%, precision of 83%, recall of 98% and an f1-score of 90%. While the KNearest Neighbor method provides an accuracy rate of 80%, precision of 84%, recall of 94% and f1-score of 89%. The conclusion of this study is that the Naïve Bayes method has a better level of accuracy than the K-Nearest Neighbor method.
Implementasi Website Sebagai Sarana Pemasaran dan Informasi pada PT. Kurnia Putra Maduma Yudhistira Adhitya Pratama; Ade Maulana; Asima Manurung; Normalina Napitupulu
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 2 (2024): Mei 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i2.4005

Abstract

PT. Kurnia Putra Maduma (KPM) is an electrical contractor company that provides high-quality solutions in Indonesia. Despite offering superior services, KPM faces challenges in providing easy access to information for customers. This community service project was conducted at the headquarters of PT. Kurnia Putra Maduma at Jl. Jaya II No. 23A, Sudirejo II, Medan City, North Sumatra, from April 2024 to May 2024, with the goal of developing a website to improve information access for customers and enhance company communication efficiency. The project stages included planning, where the development team collaborated with KPM staff to identify needs and determine the website design; website development based on feedback from the planning phase; testing and evaluation to ensure the website functions as expected; and staff training in the use and maintenance of the website. The results of this project show that the developed website successfully provided easier information access for customers and supported more efficient communication. The website features an organized structure, responsive design, and performs well across various devices and browsers. Staff training also effectively ensured their ability to manage and update content independently. In conclusion, the website successfully addressed the information access challenges at PT. Kurnia Putra Maduma and supported the company's communication efficiency. Recommendations include regular content updates, SEO optimization, performance monitoring, enhanced security.
Implementasi dan Pelatihan Enterprise Resource Planning Odoo untuk Peningkatan Efisiensi Proses Bisnis di Enzzo Stephanie, Stephanie; Davidsen Cuaca; Owen Felix; Rosita Darianty; Ade Maulana
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 4 (2024): November 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i4.4481

Abstract

The rapid development of technology has encouraged companies to adopt ERP systems in their business processes to enhance efficiency and competitiveness in the market. However, not many SMEs implements information technology into their business, including Enzzo Locks, an SME operating as a distributor of lock products. It is apparent that Enzzo Locks faces difficulties in managing their financial reports and inventory, which are still managed manually. The proposed solution is the implementation of the Odoo system. The method includes analysing the partner's needs, selecting Odoo modules according to their needs, and conducting training to enhance operational understanding of the system. The implementation results show that the Odoo system can assist in managing business processes, although there are some challenges remain, such as the system’s UI that is less user-friendly and the discrepancies between the accounting module and the partner's expectations. To ensure sustainability, adjustments to the Odoo system and regular training are necessary to ensure the partner can operate the system more effectively. Based on the results achieved, this initiative has significantly contributed to improving the efficiency and effectiveness of business management through information technology and supports the sustainability of SMEs in the digital era.  However, continuous customization and training are required in order to get the most out of Odoo.
Studi Literatur Perancangan Arsitektur Data dan Aplikasi pada Perusahaan Telekomunikasi Jason, Jason; Sutanto, Jefferson; Angkasa, Verrel; Darmana, Vicky; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 3 No. 1 (2025): February 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v3i1.3004

Abstract

Enterprise Architecture (EA) serves as a blueprint for aligning business processes and IT systems to achieve organizational objectives. It provides a structured framework for integrating and optimizing various business units, enhancing overall effectiveness and maximizing outcomes. A well-defined EA is crucial for achieving business success. This research delves into the analysis of data and application modeling approaches in EA frameworks. Telecommunication companies, like other organizations, rely on EA to integrate and align their business processes and data with their corporate mission. Employing a qualitative literature review methodology, this study aims to identify the most prevalent data and application modeling approaches in EA frameworks, providing valuable insights for telecommunication companies seeking to refine their EA models in the future.
Pengembangan Sistem Informasi Tugas Akhir Berbasis Website Adhitya Pratama, Yudhistira; Nababan, Adli Abdillah; Ade Maulana; Purwa Hasan Putra; Nababan, Arif Hamied
Jurnal Sistem Informasi dan Teknologi Jaringan Vol 5 No 1 (2024): Maret
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of information technology has brought many changes in the field of education, one of which is the use of web-based information systems to support the process of completing student's final projects. The final project is an essential component in higher education programs, but often faces various challenges, such as coordination between students and supervisors, document management, and scheduling of activities. To address these issues, this research aims to develop a web-based final project information system that can help students and supervisors manage and monitor the final project completion process effectively. This research uses the Waterfall system development method, which consists of the stages of requirement analysis, system design, implementation, testing, and maintenance. In the requirement analysis stage, the researchers identify and document the system requirements, including the main features, functionality flow, user interface, and constraints that must be met. Intensive and collaborative communication with users, namely supervisors and students, is crucial at this stage. By understanding the system requirements comprehensively, the researchers can design appropriate solutions that meet user expectations.
Pengembangan Sistem Informasi Pengelolaan Jadwal dan Ruangan berbasis Website Adhitya Pratama, Yudhistira; Pratama, Yudhistira Adhitya; Nababan, Adli Abdillah; Maulana, Ade; Dulianto, Des; Harefa, Ade May Luky
Jurnal Sistem Informasi dan Teknologi Jaringan Vol 5 No 2 (2024): September
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/sisfotekjar.v5i2.42

Abstract

The rapid development of information technology has significantly impacted various aspects of life, including management and administration. Efficient scheduling and room management remain a major challenge for educational, governmental, and private institutions. Manual processes are often time-consuming, prone to errors, and lack flexibility in responding to dynamic changes. This research aims to design and develop a web-based information system for scheduling and room management to address these challenges effectively. The system provides features such as building and room management, schedule management, and user account handling, enhancing accessibility and reducing overlapping schedules and allocation errors. The development process involves system requirement analysis and modeling using Use Case and Entity Relationship Diagrams. The resulting system simplifies real-time monitoring, automates manual processes, and improves institutional operational efficiency. Testing through black-box methods confirmed the system's functionality and user-friendliness, ensuring reliable implementation for users. This study contributes to technological advancement by offering a practical solution to operational inefficiencies while laying the groundwork for further enhancements in system functionality and user interface design.
Perancangan Aplikasi Mobile untuk Memprediksi Potensi Kanker Paru-Paru Menggunakan Algoritma K-Nearest Neighbors Florenza Jovana; Sunario, Imelda; Phan, Wincent Coleus; Ade Maulana
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.5460

Abstract

This study aims to develop a lung cancer risk prediction system using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 5,000 patient medical records. During preprocessing, several steps were conducted, including handling missing values, data normalization, label encoding, and selecting relevant features for prediction. A total of 61 outlier entries were removed using the Interquartile Range (IQR) method, resulting in 4,939 clean data entries. The model was trained by tuning the k parameter, with the best performance achieved at k = 20, reaching a training accuracy of 89%. Model evaluation on the test data produced an accuracy of 88%, along with high precision, recall, and F1-score for both classes. After training, the model was integrated into a mobile-based application called LungHealth, which allows users to assess their lung cancer risk. This system is expected to support early detection in a fast, accurate, and efficient manner, enabling individuals—especially those with high-risk factors—to take preventive actions promptly and improve awareness of their lung health.
Penerapan Algoritma K-Nearest Neighbors untuk Klasifikasi Kualitas Air Minum Jansen, Jansen; Tanova, Cariven; Dariel, Dariel; Marciano, Marciano; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 3 No. 2 (2025): August 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v3i2.4513

Abstract

This study aims to classify drinking water potability based on physical and chemical parameters using the K-Nearest Neighbors (KNN) algorithm. The dataset, sourced from the Kaggle platform, contains 100,000 water samples with nine key attributes, including pH, hardness, total dissolved solids (TDS), sulfate, chloramines, conductivity, organic carbon, trihalomethanes, and turbidity. The target label is potability, indicating whether the water is safe (1) or unsafe (0) for consumption. The preprocessing steps included normalization and splitting the data into training and testing sets. The KNN model was trained by experimenting with various K values to achieve optimal performance. Evaluation using a confusion matrix showed that the model achieved an accuracy of 78%. For the potable class, the model reached a precision of 72%, recall of 91%, and F1-score of 81%. For the non-potable class, it achieved a precision of 88%, recall of 65%, and F1-score of 75%. Although the model tends to misclassify unsafe water as safe, overall performance is promising. These findings suggest that the KNN algorithm can serve as an effective classification approach and has potential for application in automated water quality monitoring systems.
Peningkatan Produksi Dan Pemasaran Melalui Smart Greenhouse Dan Content Marketing Strategy Untuk Urban Farmer Hidroponik Ade Maulana; Okky Putra Barus; Haryati; Aditya Kristanto; Derick Chainatra; Winar Joko Alexander
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Syifa Hidroponik, sebuah Usaha Mikro, Kecil, dan Menengah (UMKM) yang bergerak dalam budidaya hidroponik, didirikan oleh Ir. Suardi Raden pada tahun 2014, menghadapi tantangan dalam manajemen produksi dan pemasaran. Pendekatan Pengabdian kepada Masyarakat telah diambil untuk mengatasi masalah-masalah ini. Di bidang produksi, solusi telah diterapkan untuk meningkatkan pengelolaan kualitas air, pemberian nutrisi yang tepat, perlindungan tanaman dari kontaminasi dan hama, serta pengendalian suhu dan kelembapan. Hasilnya, kualitas air telah ditingkatkan, pemahaman tentang nutrisi tanaman meningkat, perlindungan tanaman diperkuat, dan suhu serta kelembapan terkontrol secara efisien. Di bidang pemasaran, strategi pemasaran konten yang lebih tepat telah diterapkan dengan mengidentifikasi target pasar yang spesifik, memberikan pelatihan, dan memanfaatkan berbagai platform media sosial. Hasilnya adalah peningkatan lalu lintas media sosial, pengunjung situs web, dan penggunaan iklan digital. Implementasi ini telah memberikan manfaat signifikan bagi Syifa Hidroponik dengan meningkatkan penjualan dan daya saing di pasar. Secara keseluruhan, pendekatan Pengabdian kepada Masyarakat telah membantu Syifa Hidroponik mengatasi masalah produksi dan meningkatkan strategi pemasaran, dengan dampak positif pada kualitas produksi dan pertumbuhan bisnis.
Digitalizing MSME Financial Recording in Medan: The Development and Implementation of a User-Centered POS System Barus, Okky Putra; Maulana, Ade; Sinaga, Triandes
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): November 2025
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v9i2.2143

Abstract

This community engagement project aimed to address operational challenges faced by Micro, Small, and Medium Enterprises (MSMEs) through an integrated Point of Sales (POS) system. A case study at Akane Beauty Studio and Salon used a User-Centered Design (UCD) and Rapid Application Development (RAD) approach, managed under the PMBOK framework. The implementation yielded a significant impact on operational efficiency, notably reducing transaction time from over one minute to under one minute. A comparison of the workflow also showed improvement, with a manual process that previously took four minutes now being completed in two minutes. User Acceptance Testing (UAT) confirmed the system was fully functional and easy to use. This project demonstrates that a user-centric digital solution can tangibly improve the efficiency, data accuracy, and business sustainability of MSMEs.
Co-Authors Abdul Munif Adhitya Pratama, Yudhistira Aditya Kristanto Albert, Brian Angkasa, Verrel Asima Manurung Barus, Okky Putra Brian Ramadhan Cahyadi, Rico Calista Chandra Calvin Wendy Chai, Christopher Alexander Chainatra, Derick Chandra, Carissa Chenardy, John Michael Cuaca, Davidsen Darianty, Rosita Dariel, Dariel Darmana, Vicky Davidsen Cuaca Derick Chainatra Desinta Yamasan Rusli Djoko Hananto Dulianto, Des Elrico Tanto Jaya Fachri Darmawan Felix, Owen Fernand William Citra Florenza Jovana Gunawan, Jason Andrew Halim, Daniel Lexandrosth Halim, Marcello Stevin Harefa, Ade May Luky Haryati Jansen, Jansen Jason, Jason Kevin Aditya Santoso Kholik, Muhamad Abdul King, Chintya Angel Lee, James Rafferty Marciano, Marciano Maruf, Fachdika Neza Mitasari Nababan, Adli Abdillah Nababan, Arif Hamied Natalie, Vellyn Owen Felix Pangaribuan, Jefri Junifer Phan, Wincent Coleus Priscilla, Priscilla Putra, Purwa Hasan Rico Cahyadi Roselin, Vanesia Rosita Darianty Sabrina Jovanka Silver, Charlene Simwim, Gilbert Januar Stephanie Stephanie Stephanie Sunario, Imelda Sutanto, Jefferson Tanoto, Jackie Tanova, Cariven Tantono, Calvin Tjonadi, Callista Triandes Sinaga Wijaya, Frans Wijaya, Khellyn Viorensa Winar Joko Alexander Yudhistira Adhitya Pratama Zulfaidah, Rena