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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Agri-Informatika Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Informasi Sains dan Teknologi (ISAINTEK)
Muhammad Asyhar Agmalaro
Department Of Computer Science, IPB University
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Estimasi Kandungan Lignin Pada Dedak Padi Bercampur Sekam Menggunakan PNN Berbasis Citra Warna Parastu, Rakheda Andria; Aziz Kustiyo; Agmalaro, Muhammad Asyhar
Jurnal Informasi, Sains dan Teknologi Vol. 8 No. 1 (2025): Juni: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v8i1.312

Abstract

Dedak padi merupakan salah satu pakan yang penting bagi ternak. Penurunan kualitas dedak padi dapat terjadi ketika dedak padi dicampur dengan bahan lain seperti sekam padi.  Dedak padi yang dicampur sekam akan mengalami peningkatan kandungan lignin. Dengan demikian, kandungan lignin dalam dedak padi dapat dijadikan indikasi adanya campuran sekam dalam dedak padi. Salah satu metode untuk mengetahui kandungan lignin tersebut adalah dengan uji laboratorium melalui reaksi pewarnaan dengan larutan phloroglucinol. Pada penelitian ini, estimasi kandungan lignin dilakukan dengan menggunakan probabilistic neural networks (PNN) berdasarkan citra campuran dedak padi dan sekam hasil reaksi pewarnaan larutan phoroglucynol. Terdapat 11 kelas dalam penelitian ini yang mewakili 11 komposisi campuran dedak padi dan sekam. Untuk mengetahui kadar lignin dari 11 kelas tersebut, dilakukan uji laboratorium terlebih dahulu. Sebagai input PNN, digunakan fitur histogram dari citra hasil reaksi pewarnaan tersebut dengan lima variasi jumlah bin (interval). Pada penelitian ini digunakan dua model warna citra yaitu model warna RGB (red, green, blue) dan HSV (hue, saturation, value). Pembagian data latih dan data uji untuk PNN menggunakan skema 3-fold cross validation dengan total jumlah data sebanyak 132 citra. Hasil penelitian menunjukkan bahwa akurasi tertinggi PNN sebesar 79.54% dan akurasi rata-rata 75,75% untuk kedua model warna citra.
Model PNN Untuk Estimasi Kandungan Lignin pada Dedak Padi Bercampur Sekam Berbasis Citra Warna YCbCr Aziz Kustiyo; Bahri, Zuhdi Mukarom; Ardiansyah, Firman; Agmalaro, Muhammad Asyhar
Jurnal Informasi, Sains dan Teknologi Vol. 8 No. 2 (2025): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v8i2.383

Abstract

Adulteration of rice bran is commonly done by mixing it with materials of similar appearance but lower nutritional value, such as ground rice husk. A key indicator of such adulteration is increased lignin content. Adding phloroglucinol solution to the mixture produces a red color that varies with lignin levels. This study aims to estimate lignin content in rice bran-husk mixtures using artificial intelligence and digital image processing. YCbCr color model images of eleven rice bran-husk compositions, treated with phloroglucinol, were analyzed. The lignin content of each variation was measured in the lab and used to define eleven classes. A Probabilistic Neural Network (PNN) was employed as the classifier, with image histograms of varying bin sizes as input. PNN performance was evaluated using 4-fold cross-validation. Results showed the highest average accuracy of 85.80% with 32 bins and histograms from all three YCbCr channels.     
Pengenalan Strategi Digital Marketing untuk Usaha Mikro Kecil dan Menengah di Kelurahan Situ Gede, Kecamatan Bogor Barat, Kota Bogor Agmalaro, Muhammad Asyhar; Amanda, Dea
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 2 (2023): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.9.2.258-268

Abstract

The development of digital technology, and internet has brought considerable changes to marketing activities. The marketing trends have been shifted from conventional to digital marketing. A proper digital marketing can reach target customers effectively and efficiently. The purpose of this activity is to help and enrich knowledge MSEM and provide an introduction to maximize the effectivet strategy to use digital technology in marketing MSME products in Situ Gede Village, West Bogor Sub-district, Bogor City. The introduction of digital marketing strategies for 15 selected MSMEs was carried out in the form of workshops and mentoring. This community service activity was started with the presentation of important points on digital marketing, followed by motivation with success stories of digital marketing by MSMEs, identification of the current technology utilization and digital marketing activities that have been carried out by participants, identification of obstacles and challenges encountered, and steps that need to be taken to overcome them. The active and enthusiastic participation of the participants in the discussion and mentoring group activities show that the knowledge and motivation of participants in adopsing digital marketinghave been succeed.
Co-Authors Alyssa, T. Sandra Amanda, Dea Annisa Annisa Annisa Anton Suryatama Auriza Rahmad Akbar Auzi Asfarian Aziz Kustiyo Bahri, Zuhdi Mukarom Chamdan L Abdulbaaqiy Endang Purnama Giri Firman Ardiansyah Hasibuan, Lailan Sahrina Hera Dwi Novita Ibrahim, Arhammirza Imas Sukaesih Sitanggang Muhammad Murtadha Ramadhan Ovi Sofia Parastu, Rakheda Andria Pramita Andarwati Pratama, Dharma Rabbani, Rafif Rif’ati, Lutfah Risa Intan Komaraasih Rosy Aldina RR. Ella Evrita Hestiandari Sony Hartono Wijaya Taufik Hidayat Wisnu Ananta Kusuma