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All Journal Jurnal Pekommas Sipakaraya : Jurnal Pengabdian Masyarakat
Rasyid, Muhammad Rafli
Universitas Sulawesi Barat
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Other

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Digital Image Processing for Detecting Industrial Machine Work Failure with Quantization Vector Learning Method Muhammad Rafli Rasyid; Zulkifli Tahir; nfn Syafaruddin
Jurnal Pekommas Vol 4, No 2 (2019): Oktober 2019
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.689 KB) | DOI: 10.30818/jpkm.2019.2040203

Abstract

Todays, digital image processing is widely used in various fields to facilitate humans in doing work by analyzing videos or images for use in decision making in the industrial world. The use of industrial machine technology is one of the most important factors in efforts to facilitate human work, but an industrial machine is inseparable from work failure that can hinder the production process and cause harm to the industry. This study aims to detect a failure in industrial machinery by using video data of industrial machine movements recorded using a webcam camera. For the preprocessing stage, the image is resized then converted to grayscale imagery and segmented using the thresholding method, then morphological operations are performed with an opening operation, feature extraction is done by changing the binary image into a vector data that is used as input data in the classification process using the Learning Vector Quantization Neural Network Algorithm (LVQ NN) version 1. The results showed the results of the detection of machine working errors can be done well with an accuracy value of 94.24% in training and 92.38% in the testing phase.
Digital Image Processing for Detecting Industrial Machine Work Failure with Quantization Vector Learning Method Rasyid, Muhammad Rafli; Tahir, Zulkifli; Syafaruddin, nfn
Jurnal Pekommas Vol 4 No 2 (2019): October 2019
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2019.2040203

Abstract

Todays, digital image processing is widely used in various fields to facilitate humans in doing work by analyzing videos or images for use in decision making in the industrial world. The use of industrial machine technology is one of the most important factors in efforts to facilitate human work, but an industrial machine is inseparable from work failure that can hinder the production process and cause harm to the industry. This study aims to detect a failure in industrial machinery by using video data of industrial machine movements recorded using a webcam camera. For the preprocessing stage, the image is resized then converted to grayscale imagery and segmented using the thresholding method, then morphological operations are performed with an opening operation, feature extraction is done by changing the binary image into a vector data that is used as input data in the classification process using the Learning Vector Quantization Neural Network Algorithm (LVQ NN) version 1. The results showed the results of the detection of machine working errors can be done well with an accuracy value of 94.24% in training and 92.38% in the testing phase.
Pelatihan Teknologi Digital Chatbot Interaktif Berbasis Poe AI dan Mathpix bagi Guru SMA di Kabupaten Majene Muhammad Abdy; Nursyam Anaguna; Musawwir Musawwir; Muh. Rafli Rasyid; Fadhil Zil Ikram
Sipakaraya : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2026): Sipakaraya : Jurnal Pengabdian Masyarakat
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/sipakaraya.v4i2.6141

Abstract

Kurangnya keterampilan guru dalam menggunakan teknologi pembelajaran digital untuk menciptakan efektifitas dan inovasi dalam mengevaluasi pembelajaran matematika yang sesuai dengan perkembangan zaman merupakan masalah yang dialami beberapa guru SMA Kabupaten Majene. Untuk mengatasi masalah tersebut, dilaksanakan kegiatan pelatihan dan pendampingan bagi guru yang bertujuan untuk: 1) meningkatkan keterampilan penggunaan teknologi digital Chatbot Interaktif berbasis Poe AI dan Mathpix dalam pembelajaran, dan 2) meningkatkan efektifitas dan inovasi guru dalam membuat soal dan rubrik penilaian melalui penggunaan teknologi digital Chatbot Interaktif berbasis Poe AI dan Mathpix. Metode pelaksanaan terdiri dari 4 tahapan yaitu: perencanaan, tindakan, observasi, dan evaluasi. Kegiatan pelatihan dilaksanakan selama 1 hari dan kegiatan pendampingan dilakukan selama 2 bulan. Peserta yang terlibat sebanyak 16 guru, di mana lokasi pengabdian dilaksanakan di SMA Negeri 2 Majene. Hasil pelatihan dan pendampingan menunjukkan terdapat peningkatan keterampilan guru dalam menggunakan teknologi digital Poe AI dan Mathpix. Selain itu, ada peningkatan efektifitas dan inovasi guru dalam menyusun soal yang bervariasi dan berkualitas dalam pembelajaran matematika melalui penggunaan teknologi Chatbot interaktif berbasis Poe AI dan Mathpix.
Co-Authors Fadhil Zil Ikram Muhammad Abdy Musawwir Musawwir nfn Syafaruddin Nursyam Anaguna Syafaruddin, nfn Zulkifli Tahir