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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING INTECOMS: Journal of Information Technology and Computer Science Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Jurnal Ekonomi Manajemen Sistem Informasi bit-Tech Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Darma Agung Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Brilliance: Research of Artificial Intelligence AJAD : Jurnal Pengabdian kepada Masyarakat JAPI: Jurnal Akses Pengabdian Indonesia Knowbase : International Journal of Knowledge in Database Ranah Research : Journal of Multidisciplinary Research and Development International Journal of Multidisciplinary Approach Research and Science Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Adi Purnama
Universitas Widyatama, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Transportation Other

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Evaluation of Use of Linear Regression to Predict Profit, Selling Price, and Stock on HSR Wheels Platform Esa Fauzi; Bagus Alit Prasetyo; Adi Purnama; Rizky Bagus Pangestu
International Journal of Multidisciplinary Approach Research and Science Том 3 № 03 (2025): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v3i03.1967

Abstract

In the ever-evolving digital era, the e-commerce sector faces significant challenges in efficiently managing sales, selling prices, and inventory. This study aims to evaluate the effectiveness of a linear regression model in predicting sales, selling prices, and stock levels on the HSR Wheels e-commerce platform. A quantitative method was used by analyzing daily transaction data to identify the relationship between the time variable and sales, profit, and stock. The results showed that linear regression has limitations in modeling data complexity, with low R² scores and high Mean Absolute Error (MAE) values. These findings indicate the need for more advanced predictive models, such as machine learning algorithms, to improve prediction accuracy. This research is expected to contribute to developing more efficient and relevant sales strategies for e-commerce platforms.
Pengembangan dan Pendampingan Aplikasi Absensi QR Code Untuk Monitoring Kehadiran Guru di SD Muhammadiyah Calingcing Bagus Alit Prasetyo; Adi Purnama; Atep Aulia Rahman; Esa Fauzi
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 3 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Januari - Februari 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i3.3842

Abstract

Proses absensi guru di SD Muhammadiyah Calingcing masih dilakukan secara manual dengan mencatat kehadiran pada buku absensi. Untuk mengatasi permasalahan tersebut, dirancang dan diimplementasikan aplikasi absensi berbasis QR Code. Sistem ini melibatkan dua platform utama, yaitu aplikasi mobile untuk guru yang digunakan dalam pemindaian QR Code guna mencatat kehadiran, dan aplikasi berbasis web untuk pemantauan dan pembuatan laporan otomatis oleh kepala sekolah atau staf administrasi. Tahapan kegiatan meliputi konsultasi untuk memetakan kebutuhan, pengembangan aplikasi yang melibatkan integrasi melalui RESTful API, dan simulasi ilmu pengetahuan dan teknologi melalui pelatihan penggunaan serta uji coba sistem secara langsung. Hasil kegiatan menunjukkan bahwa sistem ini berhasil meningkatkan efisiensi, akurasi, dan kemudahan dalam pengelolaan kehadiran guru. Dampak positifnya meliputi digitalisasi proses absensi, penguatan kapasitas teknologi bagi pengguna, dan kemudahan Pemantauan real-time, yang mendukung transformasi digital di sektor pendidikan. Sistem ini juga memberikan peluang untuk dikembangkan lebih lanjut, seperti integrasi dengan sistem manajemen sekolah yang lebih luas. Kegiatan ini tidak hanya memberikan solusi teknologi yang strategis untuk kebutuhan sekolah tetapi juga memberikan kontribusi pada penguatan sektor riil masyarakat melalui penerapan teknologi modern yang relevan dengan perkembangan zaman.
Analisis Pengelompokan Data Kriminalitas dan Kejahatan di Indonesia dari Portal Berita Online Menggunakan Metode Latent Dirichlet Allocation Adi Widyanto; Yan Puspitarani; Adi Purnama
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 3 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Januari - Februari 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i3.4107

Abstract

Kriminalitas dan kejahatan merupakan fenomena sosial yang melanggar norma hukum dan berdampak serius pada stabilitas negara serta struktur sosial dan ekonomi. Dalam era digital, portal berita online mempermudah akses informasi terkait kejahatan. Namun, tingginya volume dan keberagaman data sering menyulitkan masyarakat memahami tren kejahatan. Tujuan dari penelitian ini adalah untuk mengidentifikasi pola atau tema utama dan mengelompokkan data kejahatan yang terjadi di Indonesia dari situs berita detik.com dan cnnindonesia.com pada lima tahun terakhir. Penelitian ini menggunakan metode Latent Dirichlet Allocation (LDA) untuk mengelompokkan berita kriminal ke dalam beberapa kategori. Pengumpulan data menggunakan web scraping dari portal berita online untuk mendapatkan dataset yang representatif. Data yang telah dikumpulkan akan diolah melalui tahap text preprocessing dan topic modelling menggunakan metode LDA. Dari 20 topik yang dilakukan pengujian, model terbaik ditemukan pada 9 topik dengan coherence score sebesar 0,538163893830327 dan perplexity sebesar -7,85722881473597, menunjukkan topik yang interpretatif dan distribusi data yang baik. Topik utama meliputi isu sosial, kekerasan, investigasi polisi, kasus hukum, peradilan, penipuan, hingga pencurian. Tema dominan adalah kekerasan terhadap anak dan perempuan (21,59%) dengan jumlah sebanyak 5.060 dokumen serta pencurian (23,26%) dengan jumlah sebanyak 5.241 dokumen. Hasil penelitian ini memberikan wawasan mengenai tren kriminalitas di Indonesia dalam konteks sosial dan hukum.
Implementasi Metode Balanced Scorecard dalam Pengembangan Sistem Monitoring Pencapaian Key Performance Indicator di Astra Honda Authorized Service Station (AHASS) 01403 Almila Aulia Kautsar; Adi Purnama
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.913

Abstract

This study develops a web-based monitoring system to evaluate the achievement of Key Performance Indicators (KPIs) for mechanics at Astra Honda Authorized Service Station 01403. The main objective is to provide an objective, measurable, and transparent performance assessment method. The system is designed using the Balanced Scorecard (BSC) framework with four perspectives: financial, customer, internal business process, and learning and growth. Indicator prioritization is carried out using the Urgency, Seriousness, and Growth (USG) method, ensuring each KPI aligns with the company’s strategic needs. The application was developed using the Waterfall model. The results show that the application can calculate KPI achievement scores, automatically recap performance data, and present visual dashboards that assist management in evaluating performance. The use of this system has proven to reduce manual input errors and accelerate data-driven decision-making. This system provides benefits in the form of more systematic and objective performance monitoring, and supports continuous improvement at AHASS 01403.
Mapping Academic Landscapes: Topic Modeling for Institutional Repositories Alif Nuryana; Adi Purnama
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3721

Abstract

The rapid growth of scientific output in institutional repositories has created significant challenges for the efficient retrieval of information, particularly when searches rely solely on unstructured metadata. Although topic modelling has been widely applied to large bodies of text, little attention has been given to Indonesian-language repositories and metadata-only datasets harvested through standardized protocols. This study aims to address this issue by using Latent Dirichlet Allocation (LDA) to analyze the research landscape of the Widyatama University Repository, based on titles and abstracts that were collected automatically via the OAI-PMH protocol. The proposed methodology integrates the following processes: automated metadata harvesting; Indonesian-language text preprocessing; probabilistic topic modelling; and quantitative evaluation using coherence metrics, complemented by qualitative interpretability analysis. The experimental results show that the optimal model was achieved with 12 topics, giving a Coherence Score of 0.5546 categorized as 'Good'. This demonstrates that meaningful thematic structures can be extracted even from limited textual metadata. The identified topics reflect the university's main research areas, such as Marketing Management (12.5%), Auditing (12.4%), and Human Resource Management (12.1%), as well as specific domains like Informatics (6.7%). To enhance practical usability, the model outputs were deployed in an interactive, Streamlit-based dashboard enabling dynamic exploration of topic relationships and temporal trends. This study contributes to repository analytics by demonstrating how topic modelling driven by metadata can transform institutional repositories into intelligent systems for discovering knowledge, supporting the navigation of research, landscape analysis and evidence-based decision-making for academic management.
Penerapan Strategi Promosi Digital untuk Meningkatkan Optimalisasi Layanan Penyewaan Peralatan Kamping melalui Sistem Informasi Berbasis Web pada Merapeak Outdoor Indriani Indriani; Esa Fauzi; Adi Purnama; Bagus Alit Prasetyo; Atep Aulia Rahman; Fatriani Porsiana; Nadhira Azmi Hasna; Bernadetta Dhealova Shelvonia; Dafi Christian; Muhammad Rofi Syahidulhaq; Kayla Zahra Wirya Dijaya
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v6i2.796

Abstract

Merapeak Outdoor is a micro, small, and medium enterprise (MSME) engaged in the rental of camping equipment and other outdoor activities. The business faces several operational challenges, including manual rental management, poor inventory control, limited product information, and restricted marketing reach. To address these issues, a web-based information system was developed to optimize rental services and support day-to-day business operations. The system was built using the Model-View-Controller (MVC) framework supported by a REST API for data communication between the front-end and back-end. Functional testing was conducted through black-box testing, and system validation was carried out in collaboration with the business partner to verify that all features meet the agreed requirements. The resulting web application simplifies the rental transaction process and contributes to improved operational productivity at Merapeak Outdoor.
Co-Authors Adi Widyanto Adit Oktopryadin Al Husaeni, Ahmad Badru Alif Nuryana Almila Aulia Kautsar Atep Aulia Rahman Atep Aulia Rahman Bagus Alit Prasetyo Bagus Alit Prasetyo Benny Yustim Bernadetta Dhealova Shelvonia Calvin Matulessy Candimadam Dafi Christian Esa Fauzi Fathurohman, Diman Fatriani Porsiana Husni Robani Huynh, Phuoc-Hai Indriani Indriani Indriani Indriani Iwa Ovyawan Herlistiono Kayla Zahra Wirya Dijaya Kusramdani, Rizky Lerian, Adly Juliarta Luhur Bayuaji, Luhur Muhammad Rofi Syahidulhaq Muhammad Wildan Jaffar Rahmatullah Nadhira Azmi Hasna Nugraha, Agitama Nuryana, Alif Putra, Alif Firmansyah Rahma Aulia Rizky Bagus Pangestu Robani, Husni Sriyani Violina Suharno, Mochammad Syahrindra Akbar Suhendar, Sidik Tumaruk, Andry Septian Syahputra Viddi Mardiansyah Widyanto, Adi Yan Puspitarani Yenie Syukriyah