Portal E-Journal System PNUP (Politeknik Negeri Ujung Pandang)
Not a member yet
3447 research outputs found
Sort by
Design and Development of a Three-Phase Induction Motor Speed Control System Using Altivar 61 Based on Temperature Sensor and Internet of Things (IoT)
Get PDFPenggunaan motor induksi tiga fasa di industri semakin meningkat karena keandalan, efisiensi energi, dan kemudahan perawatannya. Namun, motor ini sulit dikendalikan kecepatannya karena berputar pada kecepatan konstan. Penelitian ini bertujuan merancang sistem pengaturan kecepatan motor induksi tiga fasa menggunakan Variable Speed Drive (VSD) Altivar 61 yang dikendalikan oleh mikrokontroler ESP32 berbasis Internet of Things (IoT) dengan masukan dari sensor suhu DHT22. Sistem ini mampu menyesuaikan kecepatan motor secara otomatis berdasarkan suhu lingkungan. Hasil pengujian menunjukkan bahwa pada suhu 28°C motor berhenti, pada suhu 30–34°C motor berputar pada 560 RPM, pada suhu 36–38°C motor berputar pada 1070 RPM, dan pada suhu ≥40°C motor mencapai 1486 RPM. Akurasi sensor DHT22 mencapai 96,97%, dan sistem mampu memberikan pengendalian kecepatan motor secara efisien sesuai kondisi suhu ruanga
An Intelligent CCTV-Based Anomaly Detection System for Flood Prevention Caused by Waste in Urban River Streams
Get PDFFlooding is the most frequent natural disaster in Indonesia, with BNPB data showing a sharp increase since 2016, reaching 1,794 incidents in 2021. In 2024, 1,420 flood cases were reported, the majority of which were caused by waste accumulation in river channels. One example is the flood in Gadingrejo Village, Central Java, which submerged 100 houses due to waste obstructing the river flow. This issue motivated the development of RiverEye, an intelligent system based on CCTV and anomaly detection to prevent floods caused by waste in urban river channels. The system is designed using Raspberry Pi cameras, a buzzer as an early warning alarm, and a mini-computer running Artificial Intelligence (AI) models. The research methodology integrates YOLOv8 for object detection of waste and humans, MediaPipe Pose for detecting littering gestures, and face recognition to identify the perpetrators. The system includes a Flask-based monitoring dashboard that displays real-time detection results and a WhatsApp bot for automatic reporting. Testing was conducted on five main functions, achieving an average success rate of 89%, including pose detection 93%, object detection 90%, face recognition 83%, alarm 80%, and WhatsApp bot integration 100%. The findings demonstrate that RiverEye can detect littering behavior quickly and accurately, providing early warnings of potential river obstructions. The system has the potential to be applied as an effective, efficient, and environmentally friendly AI-based disaster mitigation tool. Further research is recommended to expand the testing area, increase the river visual dataset, and develop flood prediction features based on historical data for sustainable implementation
Perencanaan Tebal Perkerasan pada Jalan Tambang Menggunakan Metode Manual Desain Perkerasan (MDP) 2017 dan Metode Steward et al. (1977): Indonesia
Get PDFAgregat lapis tanpa lapisan aspal menjadi salah satu opsi dalam konstruksi perkerasan jalan. berbiaya rendah yang cocok diterapkan pada jalan dengan lalu lintas rendah, seperti jalan tambang. Perkerasan ini menggunakan agregat bergradasi pada permukaan tanpa lapisan aspal, namun tetap mampu mendistribusikan beban lalu lintas dan tahan terhadap kondisi cuaca. Penelitian ini bertujuan untuk membandingkan perhitungan tebal perkerasan jalan tambang dengan menggunakan Metode (MDP) 2017 dan Metode Steward et al. (1977). Data yang digunakan berupa data sekunder, yaitu volume lalu lintas dan nilai California Bearing Ratio (CBR) tanah dasar. Hasil analisis menunjukkan bahwa peningkatan nilai CBR berpengaruh signifikan dalam mengurangi tebal perkerasan. Pada ruas Mine Entrance dengan CBR 2% dan 3%, metode MDP menghasilkan tebal 510 mm dan 420 mm, sedangkan metode Steward menghasilkan 380 mm dan 250 mm. Untuk ruas Jalan Masuk Tambang dan Jalan Produksi, metode MDP memberikan tebal yang lebih besar dibandingkan metode Steward. Perbedaan ini menunjukkan bahwa metode MDP cenderung lebih konservatif dalam perencanaan struktur perkerasan. Hasil penelitian ini diharapkan menjadi referensi dalam menentukan metode perencanaan perkerasan jalan tambang berdasarkan kondisi tanah dan kebutuhan operasional yang efisien dan berkelanjutan
PERANCANGAN INCUBATOR TELUR PUYUH OTOMATIS BERBASIS IOT
Get PDFThe success rate of quail egg hatching is highly dependent on the stability of temperature, humidity, and frequency of egg turning during the incubation period. Conventional incubators that are still widely used by small farmers tend to be less efficient because they rely on manual supervision, which can cause fluctuations in the incubation environment. Therefore, this study aims to design and compare the performance of an automatic quail egg incubator based on the Internet of Things (IoT) with a conventional manual system. The prototype of the automatic incubator uses an ESP32 microcontroller, DHT22 sensor, servo motor for egg rotation, and the Blynk application for remote monitoring. Testing was carried out for 18 days by comparing temperature, humidity, hatching power, and hatching weight between the two systems. The results showed that the IoT incubator was able to maintain a stable temperature in the range of 37.5–38°C with a fluctuation of ±0.3°C and produced a hatching power of 88%, higher than the conventional incubator which only reached 68%. The average hatching weight in the automatic incubator was also greater, namely 7.4 grams compared to 7.0 grams in the manual system. Based on these results, the application of IoT technology has been proven to increase the efficiency of the hatching process and reduce the need for manual monitoring. This innovation can be an appropriate solution in modernizing small to medium-scale poultry farms
ANALISIS DIAGNOSA PENYAKIT PADA TANAMAN KAKAO DENGAN MENGGUNAKAN METODE YOLOV8
Get PDFOne of Indonesia's most important commodities, cocoa plants play a crucial role in both the agricultural and financial sectors. In any event, this plant is particularly susceptible to a variety of diseases that can completely reduce its effectiveness, including stem cancer, VSD, natural product spoilage, and others. This article discusses how to use the YOLOv8 technique to develop a framework for sickness conclusion research in cocoa plants. The YOLOv8 computation was selected for this analysis due to its emphasis on handling speed and object recognition with high accuracy. The results showed that the YOLOv8 demonstration could accurately identify damage, reaching a 90% mAP. As a result of these developments, the produced show may be a useful tool to help farmers better monitor and control pest attacks. It is expected that using YOLOv8 to identify damage to cocoa natural products will result in a more effective plan for reducing the likelihood of lower yields from insect attacks
MAXIMIZING RENEWABLE ENERGY UTILIZATION THROUGH BATTERY ENERGY STORAGE SYSTEMS (BESS) FOR PEAK SHAVING IN SOLAR POWER INTEGRATION
Get PDFThe integration of solar energy into sustainable energy systems faces the challenge of intermittency, where peak generation occurs during the day, while peak demand occurs in the evening. Battery Energy Storage Systems (BESS) enable peak shaving by storing excess energy generated during the day and discharging it during peak demand periods, thereby enhancing grid stability. In addition to reducing operational costs and optimizing energy infrastructure, BESS also contributes to lowering greenhouse gas emissions and decreasing reliance on fossil fuels. In this study, a simulation was conducted using MATLAB R2021A to model the load profile before and after BESS integration, as well as solar energy utilization. The simulation results indicate that the load profile decreased from 400 kW to 300 kW, leading to an overall reduction of 100 kW. These findings confirm that BESS implementation is effective in supporting peak shaving and enhancing the efficiency of renewable energy utilization in solar power systems
The Optimal Integration of Photovoltaic (PV) and Battery Energy Storage Systems in Power Distribution Using Hybrid Flower Pollination and β-Hill Climbing
No full textThis study discusses the optimization of the placement and capacity of Photovoltaic (PV) and Battery Energy Storage System (BESS) units in the IEEE 33-bus distribution system using the Hybrid Flower Pollination Algorithm (FPA) and β-Hill Climbing (βHC) or HyFPAβHC methods. The primary objective of this research is to enhance the performance of the distribution system by reducing power losses and improving the voltage profile. Based on the optimization results, three PV units with capacities of 749.3 kW, 577.5 kW and 620 kW were optimally placed at buses 8, 13 and 20, respectively, while one BESS unit with a capacity of 1112.4 kW was installed at bus 24. Simulation results indicate that the integration of PV and BESS significantly reduces the total system power losses from approximately 50 kW on several main feeders under the base condition (without Distributed Generation) to below 5 kW after optimization. In addition, the voltage profile improved from a minimum value of 0.92 p.u. to a stable range of 0.98–1.0 p.u. Furthermore, the integration of PV and BESS contributes to mitigating power fluctuations, enhancing energy efficiency, and improving the reliability of the distribution system operation. Therefore, the HyFPAβHC method is proven to be effective in determining the optimal configuration of PV and BESS units to improve the technical performance of electrical distribution systems
Amanah-Based Household Accounting: A Muslim Family Perspective
Get PDFThis study aims to explore the meaning of trust-based household accounting from the perspective of Muslim families. Employing a qualitative approach and transcendental phenomenology method, data were collected through in-depth interviews with five Muslim families from diverse socio-economic backgrounds. The findings reveal that trust-based household accounting is understood as a process of managing family finances grounded in Islamic spiritual values, responsibility, justice, transparency, and deliberation as part of fulfilling one’s duty as a servant of Allah and leader within the family. This research highlights the importance of integrating ethical and religious values into domestic accounting practices and offers a conceptual contribution to the development of value-based accounting
WEB-BASED PUBLIC RELATIONS CHATBOT USING LARGE LANGUAGE MODELS AND THE RETRIEVAL-AUGMENTED GENERATION
Get PDFThe Public Relations and Protocol Working Group (Pokja Humas) of Politeknik Negeri Ujung Pandang (PNUP) faces challenges in providing interactive and responsive information services. The official website functions only as a one-way medium, and the high volume of repeated questions causes delays in response time. This study developed a public relations chatbot based on Large Language Model (LLM) using the Retrieval-Augmented Generation (RAG) method to improve information services. The chatbot data were obtained through web scraping of the PNUP official website and internal PDF documents, which were processed through preprocessing, text splitting, and embedding using Hugging Face and stored in a FAISS vectorstore. The system was built using FastAPI as the backend and web-based interfaces for admin and user interactions. The results show that User Acceptance Test (UAT) involving 35 respondents achieved 91.93% acceptance (very good). The Retrieval-Augmented Generation Assessment (RAGAS) evaluation achieved average scores of 0.89 for Faithfulness, 0.91 for Answer Relevancy, 0.89 for Context Precision, and 0.89 for Context Recall, indicating that the chatbot produced relevant and contextually accurate answers