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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 Scientific Journal of Informatics
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.
Co-Authors ., Jaswin Abdiel Khaleil Akmal Abdul Rahim Matondang Alpianita, Pina Alvendo Wahyu Aranski Andikha, Andikha Ansarullah Lawi Ardilla, Thania Arrazy Elba Ridha Arya Bagaskara, Muhammad Ayu Shestia, Wenny Bahri, M Irvanni candra, joni eka Delti Rama, Sanniyah Dimas Akmarul Putera Dimas Putera Dwi Ely Kurniawan Dwi Ely Kurniawan Dwi Maharani, Suci Dwila Sempi Yusiani Fadlu Rahman, Ihsan Fuad Dwi Hanggara Hari Sandi Atmaja Iing Pamungkas Ilham, Wahyudi Indra Lesmana, Naufal Irawan, Heri Tri Irawan, Risnadi Jorvick Steve Juliza Hidayati Kremer, Hendri Kurniawan , Dwi Ely Lawi, Ansarullah Leman, A. M. Lesmana, Naufal Indra M. Ansyar Bora Marga Raharja, Adyk Maulidina, Siti Nur Medita, Vincencia Meilita Tryana Sembiring, Meilita Tryana Mhd Adi Setiawan Aritonang Muhammad Jufri munir, Zainul Munir Muqimuddin Muqimuddin Pane, Amirah Nova Khairiyah Puspita Rini, Rosie Oktavia Rafi Dio Rifaldi Herikson Rini Rosie Oktavia Puspita Rini Ririt Dwi Putri Permatasari Riski Arifin Roland, Roland Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Rosie Oktavia Puspita Rini Rozalia, Oktafanny Saputra, Puji Tri sarina siburian, Rita Sondra Wijaya, I Made Steve, Jorvick Sunarsono, Hery Syntia Manalu, Diana Tabrizon, Islahhudin fuadi Tirta Mulyadi Tirta Mulyadi Ummatin, Kuntum Khoiro Vadilla, Kansa Wahyudi Ilham Wahyudi Ilham Wahyudi Ilham Wenny, Salwa Azzahra Yuni Roza