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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Faktor Exacta Cyberspace: Jurnal Pendidikan Teknologi Informasi PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Simtek : Jurnal Sistem Informasi dan Teknik Komputer Journal of Information System,Graphics, Hospitality and Technology JSR : Jaringan Sistem Informasi Robotik TIN: TERAPAN INFORMATIKA NUSANTARA Information System Journal (INFOS) Entalpi Pendidikan Kimia Djtechno: Jurnal Teknologi Informasi Decode: Jurnal Pendidikan Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta TRANSPUBLIKA INTERNATIONAL RESEARCH IN EXACT SCIENCES (TIRES) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Jurnal Masyarakat Madani Indonesia Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Informatika: Jurnal Pengembangan IT SEWAGATI: Jurnal Pengabdian Kepada Masyarakat BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Jurnal Indonesia : Manajemen Informatika dan Komunikasi Damhil: Jurnal Pengabdian kepada Masyarakat
Ulfa Khaira, Ulfa
Bogor Agricultural University
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Application of Extreme Programming in the Design and Development of a Web-Based Inventory Information System at the Kerinci District Communication and Information Office Kesuma, Eastyanda Putra; Khaira, Ulfa; A, Muhammad Razi
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.27532

Abstract

The management of inventory at the Department of Communication and Informatics in Kerinci Regency faced challenges due to centralized processes and the limitations of the existing desktop-based application, the Regional Management Information System, which did not meet user needs. To address this, a web-based inventory management system was developed to enhance operational efficiency, data accuracy, and real-time accessibility. The system was built using the Extreme Programming method over two iterations. The first iteration focused on inventory data management, item categorization, and asset history tracking, while the second iteration introduced features for reporting asset conditions, data validation, and recap reports. The development process included planning, design, coding, and testing phases. User acceptance testing and performance testing were conducted to ensure system quality and user satisfaction. The results demonstrated that the system functioned effectively, met user requirements, and supported efficient inventory management. This system is expected to improve transparency, operational efficiency, and public services at the Department of Communication and Informatics in Kerinci Regency.
Pemberdayaan Siswa SMK melalui Pelatihan IoT untuk Sistem Monitoring Tanaman dalam Mendukung Smart Farming Khaira, Ulfa; Saputra, Edi; Waladi, Akhiyar; Perdana, Yogi; Hanum, Nindy Raisa; Iftitah, Hasanatul; Ashar, Rahmad; Rozi, Syamsyida
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/9xvxt587

Abstract

Provinsi Jambi memiliki potensi besar di sektor pertanian, namun praktik konvensional masih menghadapi kendala terkait efisiensi, produktivitas, dan keberlanjutan. Smart farming berbasis Internet of Things (IoT) hadir sebagai solusi inovatif, namun implementasinya memerlukan sumber daya manusia yang kompeten. Kegiatan Pengabdian kepada Masyarakat (PPM) ini melibatkan sebanyak 20 orang siswa SMK, serta guru SMKN 1 Muaro Jambi, dengan tujuan meningkatkan kompetensi peserta dalam merakit, memprogram, dan memanfaatkan sistem monitoring tanaman berbasis IoT. Program dilaksanakan dalam empat sesi pelatihan yang meliputi pengenalan konsep smart farming dan IoT, pengenalan komponen, praktik perakitan sistem, serta dasar pemrograman mikrokontroler. Hasil evaluasi menunjukkan peningkatan signifikan pemahaman peserta, yang ditunjukkan oleh kenaikan nilai rata-rata post-test sebesar 26 poin (dari 37,1 menjadi 63,1), serta keberhasilan peserta dalam merakit prototipe sistem monitoring tanaman yang fungsional. Temuan ini menegaskan bahwa pelatihan berbasis praktik mampu menjembatani kesenjangan kompetensi siswa vokasi terhadap kebutuhan teknologi pertanian modern. Keberlanjutan program ini diharapkan dapat memperkuat peran sekolah vokasi dalam mendukung penerapan pertanian cerdas sekaligus membuka peluang karier dan kewirausahaan di bidang agroteknologi.
Back-End Geographic Information System Development for Linguistic and Literary Mapping in Jambi Province Hutabarat, Cagivamito Tadashi; Utomo, Pradita Eko Prasetyo; Khaira, Ulfa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7384

Abstract

Indonesia possesses a rich diversity of regional languages and literature, including 718 recorded languages and 965 literary works nationally. Jambi Province, with its seven local languages and abundant oral traditions, requires more effective preservation efforts. Currently, available information is limited to static physical maps that are difficult to access. This study aims to develop a web-based Geographic Information System to digitally, interactively, and flexibly map the distribution of languages, literature, and scripts in Jambi. The system was developed using the System Development Life Cycle (SDLC) approach with an Incremental model, allowing for gradual development and continuous adjustments. The primary focus was on back-end development, including the database, business logic, and server. Functional testing was conducted using black-box testing, while non-functional performance evaluation was carried out through load testing using k6 on the main features, simulating 50 Virtual Users (VUs). Test results indicated that the system was stable and responsive, with a 0.00% failure rate, average response times of 59.08–68.74 ms, and a P95 not exceeding 106 ms. The system was developed in two increments: a general user interface and an administrator dashboard, enabling efficient management of language, literature, script, announcement, and feedback data. The implementation of this digital platform enhances information accessibility, supports the Language Office of Jambi Province in data dissemination, and contributes to the preservation of regional cultural heritage for the public and researchers.
Front-End Development of a Geographic Information System for Language and Literature Mapping in Jambi Putra, Aldi Sukma; Utomo, Pradita Eko Prasetyo; Khaira, Ulfa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7388

Abstract

This study addresses the need for an interactive digital platform to support the preservation of linguistic and literary data in Jambi Province. Existing platforms developed by Balai Bahasa Provinsi Jambi provide textual information only and lack spatial visualization, limiting users’ ability to explore linguistic distributions. Geographic Information Systems (GIS) are suitable for linguistic documentation because dialect boundaries and speech communities are strongly related to geographic regions. This study aims to design and develop a front-end GIS interface for mapping linguistic and literary data using the Incremental Model and to evaluate its functional performance through Black-Box Testing. The system was built using HTML, CSS, JavaScript, the Laravel Blade templating engine, and the Leaflet library for interactive map visualization. The Incremental Model supported iterative development, allowing core features map visualization, search and filter functions, and detailed information pages to be refined based on continuous feedback. Data from Balai Bahasa Provinsi Jambi, including language names, literary descriptions, documentation files, and geographic coordinates, were used as input. The results show that the system meets all functional requirements, achieving a 100% success rate across 11 Black-Box test scenarios, and providing real-time response capabilities for search and filter functions. These technical outcomes demonstrate that incremental front-end development is effective for building modular and interactive GIS interfaces. This study contributes to digital cultural preservation efforts and provides a foundation for future GIS-based linguistic mapping initiatives, while further research is needed to enhance backend integration, expand datasets, and evaluate system performance at scale.
Support Vector Regression-Based Prediction of Rice Production Across Provinces in Sumatra Island Sijabat, Elton Elyon; Khaira, Ulfa; Putri, Mutia Fadhila
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7429

Abstract

This study develops a Support Vector Regression (SVR)–based forecasting framework to model rice production across the ten provinces of Sumatra, a region whose agricultural output is highly sensitive to climate variability and land-use dynamics. Rising uncertainty in rainfall-dependent rice ecosystems underscores the need for more accurate predictive tools to support regional food-security planning. The objective of this research is to construct and evaluate a multivariate SVR model that integrates harvested area, rainfall, humidity, and temperature, while accounting for nonlinear temporal patterns and structural differences among provinces. The methodological approach includes extensive feature engineering, log-transformed SVR estimation with time-series cross-validation, a specialized year-over-year model for small and volatile provinces, and a stabilization procedure to ensure temporal consistency in the predictions. Results show that the blended–stabilized model performs strongly on the 2021–2024 test period, achieving SMAPE of 16.10%, MAE of 124,975.77, RMSE of 194,853.89, and R² of 0.9637, and generating three-year-ahead forecasts supported by bootstrap-based uncertainty intervals. These findings indicate that the proposed framework effectively captures heterogeneous production dynamics and provides reliable predictions for 2025–2027. The study concludes that SVR offers a robust and interpretable foundation for agricultural forecasting in data-limited environments, though future work should incorporate higher-frequency data, additional agronomic indicators, and hybrid machine-learning or deep-learning models to further improve long-term performance.
PKM : Pemberdayaan UMKM Desa Tangkit Baru Melalui E-Commerce dan Inovasi Produk Nanas A, Muhammad Razi; Khaira, Ulfa; Aryani, Reni; Setiawan, Dedy; Abidin, Zainil; Putri, Mutia Fadhila; Alfajri, Willy Bima; Hais, Yosi Riduas
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025): Juli-Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmittc.v4i2.4002

Abstract

Desa Tangkit Baru, yang dikenal sebagai sentra produksi nanas di Kabupaten Muaro Jambi, memiliki potensi ekonomi yang besar melalui produk olahan nanas dan agrowisata. Namun, pelaku usaha lokal menghadapi berbagai tantangan, seperti rendahnya literasi digital, promosi yang lemah, dan desain kemasan yang kurang menarik, sehingga membatasi jangkauan pasar dan daya saing produk. Kegiatan pengabdian ini terletak pada perlunya peningkatan kapasitas UMKM desa dalam pemasaran digital dan inovasi produk untuk mendukung Gerakan Nasional Bangga Buatan Indonesia (BBI). Tanpa intervensi yang tepat, potensi ekonomi lokal sulit berkembang optimal di era digital. Tujuan dari kegiatan ini adalah memberdayakan pelaku usaha lokal melalui pelatihan digital marketing, pendampingan branding dan kemasan produk, serta penguatan pemanfaatan e-commerce sebagai strategi pemasaran utama. Kegiatan ini juga bertujuan mendorong kemandirian ekonomi, khususnya bagi generasi muda dan pelaku UMKM di desa. Kegiatan ini diharapkan dapat meningkatkan pemahaman digital masyarakat. Program ini juga mendukung indikator kinerja utama (IKU) perguruan tinggi melalui pelibatan dosen dan mahasiswa dalam kegiatan di luar kampus serta penerapan hasil penelitian di masyarakat.
Co-Authors Abdillah, Tegar Abidin, Zainil Ade Adriadi Akhiyar Waladi Al Falaqi, Maula Alfajri, Willy Bima Anugradia, Nabila Anwar, Gema Fitria Aprilia, Kesi Ariansah, Bimo Arsa, Daniel Aryani, Reni Ashar, Rahmad Benedika Ferdian Hutabarat Dedy Setiawan EDI SAPUTRA Fikri, Akmal Hanis, Farisyah Lutfiah Hardian, Reza Wahyu Hasanatul Iftitah Hutabarat, Cagivamito Tadashi Jaya, Asirman Kesuma, Eastyanda Putra Lutvianita, Febby Mardhotillah, Bunga Maulana, Sabrian Mhd Hidayattullah Muhammad Razi A mutia fadhila putri, mutia fadhila Nindy Raisa Hanum Noverina, Yolla Nugraha, A. Prima Nurhadi, Miranda Sukma NURUL HIDAYAH Perdana, Yogi Priyanto Priyanto Putra, Aldi Sukma Rahman, Reyvi Rizqa Raaiqa Bintana Saputra, Andre Ilham Saputra, M Ari Sarah, Dinda Fatimah Sijabat, Elton Elyon Simanjuntak, Ade Bonita Sukma, Silvia Antana Syalom, Cahya Syamsyida Rozi Tri Suratno Utomo, Pradita Eko Prasetyo VERDI, MOHD RAFI Weni, Indra Yerimadesi Yerimadesi Yosi Riduas Hais Yurinanda, Sherli Zahra, Salmah Nur