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Journal : journal of applied informatics and computing

Aspect-Based Sentiment Analysis of Tourist Attractions in Labuanbajo Using the Transformer Model as a Recommendation for Improving Service Quality Nur, Sadikah; Sahibu, Supriadi; Razak, Mashur
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11565

Abstract

Labuan Bajo as super-priority destinations experience improvement visit in a number of year lastly, however quality service Not yet fully fulfil expectation tourists . Study This analyze perception traveler through Aspect-Based Sentiment Analysis (ABSA) approach using the IndoBERT model. A total of 2,564 reviews multilingual from Google Maps and TripAdvisor processed through translation, pre-processing, extraction aspects, sentiment labels automatic, and model training. Four aspects analyzed based on framework SERVQUAL theory and Tourism Destination Quality: attractions, amenities, accessibility, and price. Model evaluation was conducted using precision, recall, and F1-score per aspect. The results show performance best The amenity and attraction aspects obtained the highest and most consistent scores across all metrics (around 0.83–0.88), indicating that reviews for these two aspects were more explicit and easily mapped by the model. In contrast, the access and price aspects showed lower scores (around 0.65–0.72), indicating linguistic challenges such as implicit aspects, variations in the context of the travel experience, and figurative complaints . The study This give recommendation policy connected data based direct with model findings. Limitations such as translation noise, biased datasets dominated by review positive-neutral, and not existence baseline comparison also discussed. These results confirm that ABSA approach can help stakeholder’s policy, however Still need improvement through other models such as IndoBERTweet, mBERT, or IndoBART.
Multimodal Sensor Evaluation for Fish Pond Water Quality Monitoring Zein Rifal; Syafruddin Syarif; Imran Taufik; Mashur Razak; Supriadi Sahibu; Respaty Namruddin
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12656

Abstract

Freshwater aquaculture requires continuous water quality monitoring because rapid changes in temperature, pH, dissolved oxygen, turbidity, total dissolved solids, and water level can affect fish health and pond productivity. This study evaluates a multimodal sensor system for real-time fish pond water quality monitoring and dashboard-based actuator control. The system integrates six sensors with Arduino Mega for signal acquisition, ESP32 for Wi-Fi communication, Firebase for cloud data storage and command exchange, and a Flutter dashboard for visualization and manual control. Field testing was conducted in two tilapia ponds with different initial conditions. Sensor performance was evaluated by comparing five measurable parameters with reference instruments using percentage error, accuracy, mean absolute error, and root mean square error, while turbidity was assessed through functional contrast testing and short-term stability because a turbidity reference instrument was unavailable. The average accuracy of the five validated parameters was 87.37% in pond 1 and 95.58% in pond 2. Temperature and water level showed the highest accuracy, above 98% in both ponds. Dissolved oxygen and total dissolved solids showed larger deviations, especially in pond 1, indicating sensitivity to field conditions and calibration stability. Actuator commands for the aerator and circulation pumps responded within 1-2 seconds under stable network conditions. The results show that the system is useful as a preliminary field-validated monitoring and semi-automatic control platform, but further work is required for long-term drift testing, turbidity validation using a commercial meter, and automatic control evaluation.
Co-Authors ABDUL JALIL Abdul Jalil Abdul Latief Arda Abdul Wahab Achmad Gani achmadi achmadi achmadi Agunawan Agunawan Ahmad Firman Amir Amir Andi Indriapati Andi Muhammad Ridwan ANITHA NITA TAHIR Anshar, Muh. Ashary Arwien, Riswin Arwien Asri Asri Astik Martini Martini Badaruddin Bambang Suharnanto Barhaman Barhaman Djalante, Andi Djasim, A. Kachsyfur Fatmasari Fatmasari Fatmasari Fatmasari Fatmawati Fatmawati Fiqri Haikal Gusti, Didiek Handayani Haedar Dahing Haeruddin Harlinda Harniati Arfan Harlindah Harniati Harun, Rusni Haryono, Didi Hasriadi Hasriadi Hazriani, Hazriani Hengky Yasing Ibnu Munzier Hasri Gani Imran Taufik Japaruddin Japaruddin Jeni Kamase Kamaluddin, La Ode Amijaya Kartini Jafar Khaeriah Khaeriah Khaerullah H Khaerullah H Khaerullah H, Khaerullah H Latief, Fitriani Lili Handayani, Lili M. Ihsan Indra Jaya Maryanita, Maryanita Masdar J Pratama Maslim Maslim, Maslim Megawaty, Megawaty Mochammad Asril Berlian Abdullah Mudinillah, Adam Muh. Ashary Anshar Muhammad Amin Muhammad Fuad Muhammad Hdayatullah Rahman Muhammad Hidayat Muhammad Hidayat Muhammad Hidayat Muhammad Idris Muhammad Rizal Mukhtar Hamzah Muliana Muliana Mulyawan Amin Nadya Utari Gunawan Nasrullah Nur Ainun Alwi Nur Baya Nur, Sadikah Nuraeni Nuraeni Nurbayati Nurbayati Nurjannah Nurjannah Pierre Johnson Qadri, Khaerul Rabi’a H Maudjik Rahmat Saleh Rahmawaty, Ika Respaty Namruddin risman Umar Rosnaini Daga Safirah Syihab Sahibu, Supriadi Salam, Erick Sarial Budi Saripuddin D Sry Devianty Subriah Subriah Suharnanto, Bambang Suharnanto, Bambang Sujatmiko Sujatmiko Supriadi Sahibu Surianti Surianti Surianto Surianto Sutiara, Sutiara Syafruddin Syarif Syamsul Alam Syarifuddin Syarifuddin Yusnani Yunus YUSRI YUNUS Yuyun Zainal Abidin Zainuddin Mustapa Zein Rifal