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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Informatik : Jurnal Ilmu Komputer Madaniya
Pipit Novita Anggraeni
Politeknik Manufaktur Bandung
Religion Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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Optimizing Book Stocktaking Process: Integration of Mobile Robot QRCode Commands with SLiMS Mohammad Harry Khomas Saputra; Pipit Anggraeni; Wahyu Adhie Candra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 5 (2024): October 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i5.5638

Abstract

This study presents a novel approach to enhance efficiency and precision in library management through the utilization of QR code technology. Integration of a mobile robot equipped with a QR code reader into the stocktake process, interfaced with the SliMS framework via an accessible API, lays the groundwork for an automated book inventory management system. This groundbreaking system enables the generation of dynamic QR code commands, facilitating seamless adjustments to bookshelf layouts. The autonomous and accurate movement of the mobile robot significantly reduces the time required for recording, allowing library staff to allocate more time to value-added tasks. The implementation of this method entailed configuring the mobile robot to navigate library aisles, scan QR codes on book spines, and transmit inventory data to the SliMS system in real time. Research findings indicate a notable decrease in inventory processing time, accompanied by an improvement in accuracy resulting from the eradication of manual data entry errors. Specifically, the calculated efficiency gain of approximately 66.81% highlights the substantial benefits of integrating the mobile robot scan QR code process compared to manual methods. In conclusion, the deployment of this automated book inventory management system, driven by QR code technology, marks a positive shift in library management practices, enhancing the efficiency of the book inventory process and overall operational effectiveness.
Pompa Hidram Sebagai Solusi Pompa Hemat Listrik Untuk Distribusi Air Desa Cibuluh Abdur Rohman Harits Martawireja; Hadi Supriyanto; Wahyudi Purnomo; Nur Wisma Nugraha; Pipit Anggraeni; Ega Mardoyo; Dandi Cahyadi; Moch Fikrie Dzulfikar
Madaniya Vol. 6 No. 2 (2025)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.1228

Abstract

Krisis air bersih merupakan tantangan global yang mempengaruhi berbagai aspek kehidupan, terutama di wilayah pedesaan yang belum memiliki infrastruktur memadai. Desa Cibuluh, Kabupaten Subang, Jawa Barat, meskipun memiliki sumber air yang melimpah, menghadapi kendala dalam distribusi air bersih dari sumber air bersih ke pemukiman warga. Menanggapi permasalahan ini, Politeknik Manufaktur Negeri Bandung melalui program pengabdian masyarakat menerapkan teknologi pompa hidram di Kampung Ciseupan sebagai solusi distribusi air yang hemat energi dari sumber air bersih ke penampungan. Kegiatan ini mencakup survei lokasi, perancangan, perakitan, instalasi, dan uji fungsi pompa bersama warga. Teknologi pompa hidram memanfaatkan energi aliran air secara gravitasi tanpa memerlukan listrik. Kegiatan pengabdian ini melibatkan 10 warga dalam pembangunan dan memberikan manfaat bagi 35 kepala keluarga. Pompa hidram yang dibuat mampu mengalirkan air dengan debit 0,13 liter/detik di titik keluar penampungan. Teknologi ini berhasil membuat akses air bersih ke warga dengan biaya operasional rendah serta mendukung kualitas hidup masyarakat. Kolaborasi aktif dengan warga membuktikan efektivitas penerapan teknologi tepat guna sebagai solusi berkelanjutan untuk infrastruktur dasar di pedesaan.
Predictive Analytics for Energy Consumption of Autonomous Mobile Robot Using Hybrid ARIMA-XGBoost Pipit Anggraeni; Wahyu Adhie Candra; Surya Dharma Jatnika; Noval Lilansa; Adhitya Sumardi Sunarya; Nur Jamiludin Ramadhan; Andri Wiyono
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16484

Abstract

The deployment of autonomous mobile robots in smart manufacturing and intralogistics has grown rapidly, yet current battery management systems can only monitor real-time charge levels without predicting future energy consumption. This reactive limitation risks mid-mission battery depletion and production disruption. The study presents a predictive analytics system for the Polebot autonomous mobile robot integrated with a Robot Operating System 2 data historian pipeline and an InfluxDB time-series database. The objective is to evaluate whether an autoregressive time-series model or a gradient-boosted machine learning model better suits different operational conditions, specifically constant-velocity static operation versus acceleration-heavy dynamic operation. Data were collected from three sensor sources across six operational protocols covering baseline, high-load, stop-and-go, creep, burst acceleration, and mixed conditions, yielding 10,800 synchronized data points at 1 Hz after resampling. Results show that the Autoregressive Integrated Moving Average model with parameters (2,1,3) achieves a Mean Absolute Error of 1.047% and a symmetric Mean Absolute Percentage Error of 1.74% for battery State of Charge prediction under static conditions. Extreme Gradient Boosting achieves a Mean Absolute Error of 0.022 watts for motor power prediction, 136 times more accurate than the time-series model for the same variable. The proposed Condition-Based Temporal Switching framework was validated on 1,803 data points and autonomously produced 265 model transitions during a 30-minute mixed operational test, with static conditions comprising 83.9% of the validation window. Adaptive model selection outperforms single-model strategies for energy prediction in autonomous mobile robot platforms.
Navigasi UAV Otonom Multi-Landing Berbasis Finite State Machine Menggunakan Algoritma Waypoint Follower pada ROS2 Pipit Anggraeni; Hilda Khoirunnisa; Alif Prima Utama
Informatik : Jurnal Ilmu Komputer Vol 22 No 1 (2026): April 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i1.12680

Abstract

Challenges in medical logistics, such as geographical limitations, urban congestion, and ground transport risks, necessitate efficient and safe delivery solutions. Unmanned Aerial Vehicles (UAVs) offer a promising alternative. This research aims to develop and implement an autonomous UAV navigation system capable of complex multi-landing missions, validated for medical delivery scenarios. The system employs a hierarchical control architecture, integrating the Robot Operating System 2 (ROS2) as the high-level mission supervisor with the PX4 flight controller for low-level control. Mission logic, including navigation using the Waypoint Follower algorithm and landing sequences, is formally governed by a Finite State Machine (FSM) implemented in ROS2. Communication between ROS2 and PX4 is facilitated by Micro XRCE-DDS. System validation was performed via Software-in-the-Loop (SITL) simulation using Gazebo, featuring a mission scenario with four waypoints and one intermediate landing. Simulation results demonstrated that the system successfully completed the entire mission autonomously (100% success rate). Quantitative analysis of position accuracy revealed total position errors () between 1.35 m and 1.57 m during navigation phases, and an error of 0.84 m at the intermediate landing. Errors were found to be consistently dominant on the Y-axis. In conclusion, the proposed architecture, which separates mission logic (FSM in ROS2) from flight control (PX4), provides a robust and functional approach for autonomous UAV applications requiring complex mission interactions.
Co-Authors Abdur Rohman Harits Martawireja Adhitya Sumardi Sunarya Alif Prima Utama Andri Wiyono Dandi Cahyadi Ega Mardoyo Hadi Supriyanto Khoirunnisa, Hilda Moch Fikrie Dzulfikar Mohammad Harry Khomas Saputra Nur Jamiludin Ramadhan Nur Wisma Nugraha Surya Dharma Jatnika Wahyu Adhie Candra Wahyudi Purnomo