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All Journal Building of Informatics, Technology and Science RESPINARIA: Jurnal Pengabdian Kepada Masyarakat
Prandana, Randy
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

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Combination Multilayer Fuzzy Inference System with K-means for Classification of Dental Diseases Prandana, Randy; Mawengkang, Herman; Suwilo, Saib
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5737

Abstract

This study was conducted to solve the problem of classifying dental diseases such as pulpitis, gingivitis, periodontitis and advanced periodontitis. The method in this study uses a combination of algorithms with a multilayer system where in the first layer a fuzzy inference will be carried out whether a patient is suffering from pulpitis. Early symptoms of pulpitis are characterized by pain with varying levels. Meanwhile, in the second layer a fuzzy inference process will also be carried out to identify other types of dental diseases, but in this second layer the centroid value calculation process is carried out using the K-means algorithm for all input variables. Then the inference process will run to determine the type of disease suffered by the patient following the fuzzy set of other types of diseases. This study is expected to contribute to helping the initial screening process for dental diseases so that it is easier for dentists to carry out further examinations. The results of this study have been proven to be able to help doctors in conducting initial screening to determine dental disease. In this study, the multilayer system is intended to differentiate the results of dental disease classification because pulpitis does not have a relationship between input variables and other types of dental disease. Meanwhile, the use of the fuzzy inference system method in this study showed good results because the FIS method can map the level of pain suffered by a patient with mild, moderate and severe levels into a numeric value that can be classified where the level of pain is a feeling that cannot be calculated, by using the fuzzy method, the linguistic value can be defined into a conclusion. Grouping input values by finding the means value in the second layer and combined with the fuzzy method has been proven to provide good results for determining the type of dental disease.
Kuliah Umum Transformasi Dunia Teknik: Peran 5G dalam Mendorong Inovasi di Era Industri 4.0 Prandana, Randy
RESPINARIA : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2025): December 2025
Publisher : PT Katersi Minar Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66785/respinaria.v2i2.143

Abstract

Transformasi dunia teknik pada era Industri 4.0 ditandai dengan konvergensi antara sistem fisik dan digital yang didukung oleh teknologi komunikasi generasi kelima (5G). Teknologi 5G tidak hanya menawarkan peningkatan kecepatan dan kapasitas jaringan, tetapi juga menghadirkan latensi sangat rendah, keandalan tinggi, serta kemampuan konektivitas masif yang menjadi fondasi utama bagi pengembangan inovasi teknologi terkini. Artikel ini bertujuan untuk mengkaji peran strategis teknologi 5G dalam mendorong inovasi di bidang teknik, khususnya dalam konteks penerapan Industri 4.0. Pembahasan difokuskan pada integrasi 5G dengan teknologi kunci seperti Internet of Things (IoT), kecerdasan buatan (Artificial Intelligence), sistem siber-fisik, komputasi awan, dan otomasi industri. Melalui pendekatan studi literatur dan analisis konseptual, artikel ini menunjukkan bahwa 5G berperan signifikan dalam meningkatkan efisiensi proses produksi, memungkinkan sistem manufaktur cerdas, mendukung pengambilan keputusan berbasis data secara real-time, serta membuka peluang baru bagi pengembangan smart factory, kendaraan otonom, dan smart city. Selain itu, artikel ini juga menyoroti tantangan implementasi 5G, meliputi aspek infrastruktur, keamanan data, kesiapan sumber daya manusia, dan regulasi. Hasil kajian diharapkan dapat memberikan kontribusi akademik khususnya pada peserta kuliah umum yang diselenggarakan oleh program studi Teknologi Rekayasa Jaringan Telekomunikasi Politeknik Negeri Medan dalam memahami posisi 5G sebagai enabler utama transformasi dunia teknik, sekaligus menjadi referensi bagi praktisi, akademisi, dan pemangku kebijakan dalam merancang strategi inovasi berkelanjutan di era Industri 4.0.
Co-Authors Herman Mawengkang Saib Suwilo