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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Scientific Journal of Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA SISTEM INDUSTRI Minda Baharu Jurnal Sistem Teknik Industri Altasia : Jurnal Pariwisata Indonesia Jurnal Optimalisasi SIGMA TEKNIKA Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Jurnal Pendidikan Sains dan Komputer Jurnal Manajemen Rekayasa dan Inovasi Bisnis Jurnal Pengabdian Ibnu Sina Journal of Event, Travel and Tour Management JT-IBSI (Jurnal Teknik Ibnu Sina) Jurnal Pengabdian Barelang (JINSENG) Journal of Industrial Innovation and Safety Engineering Scientific Journal of Informatics IESM
Aulia Agung Dermawan
Institut Teknologi Batam
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Journal : journal of applied informatics and computing

 1 
Development of an IoT-Based Mobile Plastic Shredder for Optimized Waste Management in Batam Lawi, Ansarullah; Dermawan, Aulia Agung; Kurniawan , Dwi Ely; Yuni Roza; Ardilla, Thania; ., Jaswin
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9208

Abstract

Plastic waste management has become a critical environmental issue, with its improper handling leading to severe ecological and health impacts. This research addresses the challenge by designing and developing an IoT-based mobile plastic shredding machine aimed at improving waste management efficiency, particularly in Batam City, Indonesia. Utilizing Borg and Gall’s R&D framework, this study integrates IoT technology to enhance the machine’s functionality, enabling real-time data collection and remote monitoring through mobile applications. The machine comprises three functional levels: a storage area for raw plastic bottles, a shredding unit with proximity sensors, and a post-shredding storage compartment. Key innovations include weight sensors for automatic material handling and real-time data transmission via the Blynk IoT platform, controlled by an Arduino microcontroller. The modular design ensures portability, easy maintenance, and adaptability for use in various locations, including coastal areas. Prototyping involved integrating proximity sensors, load cells, relays, and motor control systems to ensure smooth operation. The machine demonstrated consistent performance during testing, with its IoT features enabling remote control and monitoring via smartphones. This facilitates optimized waste collection and contributes to reducing environmental pollution caused by plastic waste. The IoT-based mobile plastic shredding machine not only enhances waste management efficiency but also supports sustainability goals. Its portability and environmentally friendly design make it a practical solution for managing plastic waste in underserved areas. This innovation provides a significant step toward addressing the global plastic waste crisis, aligning with technological advancements to promote sustainable waste management practices.
Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns Rafi Dio; Aulia Agung Dermawan; Dwila Sempi Yusiani; Rifaldi Herikson; Andikha, Andikha; Dwi Ely Kurniawan; Adyk Marga Raharja
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9698

Abstract

Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the FP-Growth association rule mining algorithm to 1,000 anonymized transactions comprising 94 unique items, collected from a veterinary clinic in West Java, Indonesia, during 2023. Two distinct analytical scenarios were constructed: Scenario 1 includes all services (procedural and customer-driven), while Scenario 2 excludes procedural items such as “Vet” and “Visit Dokter” to focus solely on client-initiated behaviors. Data preprocessing involved aggregating transaction items into a market basket format suitable for frequent pattern mining. The FP-Growth algorithm was employed to extract association rules, evaluated using support, confidence, and lift metrics. Results from Scenario 1 revealed rule patterns reflective of standard clinical protocols and operational dependencies, informing bundled service packages and inventory management. In contrast, Scenario 2 uncovered customer-driven associations, highlighting opportunities for personalized promotions and service innovation. The comparative analysis demonstrates the utility of scenario-based association rule mining for both operational optimization and customer engagement. While the findings provide actionable insights for clinic management, further validation with practitioners and implementation in multi-clinic settings are recommended to confirm real-world applicability and enhance generalizability.
IoT Application Development for Marine Debris Management in 3T Islands: Supporting a Circular Economy and Community Empowerment Hernando, Luki; Lawi, Ansarullah; Dermawan, Aulia Agung; Aritonang, Mhd Adi Setiawan; Ad, Roni; Kurniawan, Dwi Ely; Manurung, Putriana Carona; Putri, Intan Medisi
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.v10i1.11699

Abstract

Marine debris is a serious problem, especially in the outermost, foremost, and least developed (3T) islands of Indonesia, where limited infrastructure and low public awareness are the main obstacles to effective waste management. This study aims to design, develop, and evaluate an Internet of Things (IoT)-based application integrated with a community-based web platform to support circular economy practices and community empowerment in marine debris management. The research method used is Research and Development (R&D) adapted from Borg & Gall, starting from the needs analysis stage to dissemination. An IoT module equipped with ultrasonic and GPS sensors is used to detect container capacity and location in real-time. Performance testing results show a response time of 1.8 seconds, a data transmission success rate of 98.7%, and a capacity detection accuracy of 96.2%, which meets the established technical standards. User acceptance testing using the Technology Acceptance Model (TAM) involving 15 respondents resulted in an average Perceived Usefulness (PU) score of 4.40 and Perceived Ease of Use (PEOU) of 4.23. Pearson's correlation analysis showed an r value of 0.84 (p = 0.0001), indicating a very strong and significant positive relationship between ease of use and perceived usefulness. This finding confirms that the developed system is technically reliable, easy to use, and capable of promoting environmental sustainability and economic opportunities in the 3T island communities.
Design and Implementation of an IoT-Based Low-Emission Mobile Plastic Melting Machine for Sustainable Paving Block Production in Batam City Lawi, Ansarullah; Aranski, Alvendo Wahyu; Burhan, Rifa’atul Mahmudah; Hernando, Luki; Aritonang, Muhammad Adi Setiawan; Dermawan, Aulia Agung; Kurniawan, Dwi Ely; Leman, Abdul Mutalib
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.v10i1.12044

Abstract

Plastic waste accumulation poses a severe environmental burden, particularly in urban and archipelagic regions where centralized treatment infrastructure is limited. While thermal processing offers a pathway for volume reduction and material recovery, inadequate temperature control frequently leads to uncontrolled combustion and the formation of hazardous air pollutants. This study addresses this gap by developing and experimentally validating a low-emission, IoT-enabled mobile plastic melting system designed for decentralized paving block production. The proposed system integrates real-time thermal sensing using a K-type thermocouple and an ESP32-based controller with a compact three-nozzle water spray filtration unit. The control architecture maintains the melting process at approximately 270 °C, thereby preserving polymer viscosity for molding while preventing temperature excursions beyond 300 °C that may initiate combustion and toxic by-product formation. The filtration module operates as a simplified wet scrubber, capturing airborne particulates and simultaneously cooling the exhaust stream. Experimental evaluations confirm that the integrated control–filtration framework achieves stable thermal regulation and substantial suppression of visible exhaust emissions. Under these conditions, molten plastic was consistently transformed into dense paving blocks with smooth surface morphology and without evidence of polymer degradation or charring. The results demonstrate that combining IoT-based thermal governance with low-cost water-spray emission control provides an effective and scalable alternative to open burning for community-level plastic waste recycling. This mobile platform enables environmentally safer conversion of plastic waste into value-added construction materials, offering a practical pathway toward decentralized circular-economy implementation in resource-constrained regions.
Multi-LoRa-Based Automatic Drinking Water Transmission System Sri Indah Rezkika; Adinda Juwita Nasution; Andri Ramadhan; Muhammad Fiza Lubis; Panangian Mahadi Sihombing; Aulia Agung Dermawan
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.v10i3.12862

Abstract

Drinking water transmission systems are needed to fill some reservoirs. However, the water level in each reservoir must be monitored constantly to ensure optimal water transmission. Therefore, a device is needed to monitor the water level and automatically control the transmission system. The purpose of this research is to develop a multi-LoRa-based automatic drinking-water transmission system that provides near-real-time water-level information with an average end-to-end latency of 1.2 seconds, meeting the typical requirements for water-level monitoring in remote reservoirs (acceptable delay < 10 seconds). This study uses a prototype experimental approach, validated with a Laser Distance Meter and sticker meters. The star topology connects several LoRa modules that transmit water-level data without internet access. The purpose system consists of several LoRa modules, water-level sensors, liquid crystal displays (LCDs), solenoid valves, and pressure-switch sensors. A pressure sensor switch is installed on the power-supply side of the water pump, controlling the pump based on the water-pressure difference. The result of this study is that the purpose system can automatically control the water pump to fill several reservoirs based on water-level information from each reservoir. This is evidenced by each solenoid valve opening when the water level is below 10 cm and closing when it reaches 70 cm. So that the water pump can be controlled through a pressure sensor switch. The purpose system can also accurately measure water levels, as evidenced by ME ≤ 0.5 cm, MAPE ≤ 4.4%, RMSE ≤ 0.7 cm, and R² ≥ 0.97. These findings demonstrate the potential of the proposed solution as a cost-effective and reliable solution for remote areas without internet infrastructure.
Development of an IoT-Based Broiler Chicken Coop Air Quality Monitoring Prototype Panangian Mahadi Sihombing; Maharani Putri; Tuti Adi Tama Nasution; Muhammad Fiza Lubis; Aulia Agung Dermawan; Muhammad Syahruddin
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.v10i3.12863

Abstract

Inadequate air quality in the cage causes broiler chickens to become stressed, resulting in suboptimal weight gain, even death, and crop failure. Adequate broiler chicken cage air quality parameters include: a temperature range of 22 °C to 32 °C (depending on the chicken's age), a humidity range of 45% to 65%, an O2 level of≥ 19.6%, an NH3 level of ≤ 10 ppm, a CO level of ≤ 10 ppm, and a CO2 level of ≤ 3,000 ppm. Therefore, a technology is needed to monitor the air quality of the chicken coop in near real time. Thus, farmers can provide appropriate and prompt handling to maintain good air quality in the chicken coop. The purpose of this research is to develop a prototype for monitoring the air quality of broiler chicken coops based on IoT. The method used is research and development (R&D) with a prototype manufacturing approach based on the Internet of Things (IoT). The prototype was developed using temperature and humidity sensors (DHT22), NH3, O2, CO, and CO2 sensors. Each sensor is connected to the ESP32, which processes the data and displays it on the liquid crystal display (LCD) and the Thingspeak dashboard. Prototype testing was conducted by comparing the measurement results with those from standard measuring instruments in a closed container. Based on the test results, the prototype measured air quality accurately. This is evidenced by the mean absolute error (MAE) values for each measurement result of the O2 sensor, CO sensor, CO2 sensor, DHT22 sensor, and A02YYUW sensor, which are 0.10 % Vol, 4.46 μmol/mol, 24.20 ppm, 0.71 °C, and 0.13 cm, respectively. Thus, this prototype offers an advantage in measuring air quality in near real time using IoT.
Co-Authors ., Jaswin Abdiel Khaleil Akmal Abdul Rahim Matondang Ad, Roni Adi, Roni Adinda Juwita Nasution Adyk Marga Raharja Aldi Mulia Alvendo Wahyu Aranski Alvendo Wahyu Aranski Andikha, Andikha Andri Ramadhan Ansarullah Lawi Ardilla, Thania Arina Abrilian Pulung Aritonang, Muhammad Adi Setiawan Arrazy Elba Ridha Bahri, M Irvanni Burhan, Rifa’atul Mahmudah candra, joni eka Diana Syntia Manalu Diana Syntia Manalu Dimas Akmarul Putera Dimas Putera Dio Putra Dwi Ely Kurniawan Dwila Sempi Yusiani Enjelika Rosan Febriani Zainal Fitriyani Fuad Dwi Hanggara Hari Sandi Atmaja Hendri Kremer Hernando, Luki Hutagalung, Deria Moti Ihsan Fadlu Rahman Iing Pamungkas Ilham, Wahyudi Irawan, Heri Tri Irawan, Risnadi Islahhudin Fuadi Islahhudin fuadi Tabrizon Jito Armando Jorvick Steve Jorvick Steve Juliza Hidayati Kansa Vadilla Kremer, Hendri Lawi, Ansarullah Leman, A. M. Leman, Abdul Mutalib Lesmana, Naufal Indra M. Ansyar Bora Maharani Putri Manurung, Putriana Carona Maria Magdalena Sibagariang Maulidina, Siti Nur Meilita Tryana Sembiring, Meilita Tryana Mhd Adi Setiawan Aritonang Mhd Adi Setiawan Aritonang Muhammad Arya Bagaskara Muhammad Arya Bagaskara Muhammad Fiza Lubis Muhammad Fiza Lubis Muhammad Fiza Lubis Muhammad Jufri Muhammad Syahruddin munir, Zainul Munir Muqimuddin Muqimuddin Naufal Indra Lesmana Nigel Abie Rachel Nelwan Oktafanny Rozalia Panangian Mahadi Sihombing Pane, Amirah Nova Khairiyah Pina Alpianita Popi Kasandra Puspita Rini, Rosie Oktavia Putri, Intan Medisi Rafi Dio Rebeka Mentari Rifaldi Herikson Rini Rosie Oktavia Puspita Rini Ririt Dwi Putri Permatasari Riski Arifin Rita sarina siburian Roland, Roland Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Salwa Azzahra Wenny Sanniyah Delti Rama Saputra, Puji Tri Sari Rahmiati Siti Nurhasanah Sondra Wijaya, I Made Sri Indah Rezkika Steve, Jorvick Suci Dwi Maharani Sunarsono, Hery Taufiq Denny Wicaksono Tirta Mulyadi Tirta Mulyadi Tuti Adi Tama Nasution Ummatin, Kuntum Khoiro Vadilla, Kansa Via Audila Vincencia Medita Vincencia Medita Wahyudi Ilham Wahyudi Ilham Wahyudi Ilham Wenny Ayu Shestia Yuni Roza