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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal IPTEK Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Teknologi Informasi dan Terapan (J-TIT) JEECS (Journal of Electrical Engineering and Computer Sciences) West Science Social and Humanities Studies Science Information System and Technology Semar: Jurnal Pengabdian Kepada Masyarakat
Eko Prasetyo
Universitas Bhayangkara Surabaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Peningkatan Penghasilan dan Pemasaran Online pada Usaha Mikro Bank Sampah di Kelurahan Gunung Sekar Kecamatan Sampang Kabupaten Sampang Adiananda Adiananda; Amirullah Amirullah; Diana Rapitasari; Agus Mahmudi; Eko Prasetyo
Semar: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2025): Semar: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/semarjpkm.v1i1.5

Abstract

Mitra PKM adalah Bank Sampah di Kelurahan Gunung Sekar Kecamatan Sampang Kabupaten Sampang. Permasalahan ditinjau dari aspek manajemen adalah warga sekitar mitra di Kelurahan Gunung-Sekar masih belum mengenal manfaat bank sampah. Disisi lain nasabah Mitra belum mampu mengidentifikasikan ragam jenis sampah rumah tangga dan memisahkan sampah organik maupun non-organik. Dari aspek pemasaran, nasabah mitra mengalami kendala pemasaran produk kerajinan berbahan sampah non-organik: kertas (koran dan kardus), kaca, plastik, dan metal. Metode kegiatan adalah: (1) pelatihan kepada nasabah Mitra tentang manfaat Bank Sampah dari aspek lingkungan dan ekonomi, (2) pelatihan kepada nasabah Mitra untuk meningkatkan pengetahuan dan ketrampilan dalam identifikasi ragam jenis sampah rumah tangga dan memisahkan sampah organik maupun non-organik, dan (3) pelatihan untuk meningkatkan pengetahuan nasabah Mitra supaya mampu melakukan pemasaran online produk kerajinan berkualitas di media sosial. Luaran kegiatan adalah: peningkatan jumlah nasabah Mitra, peningkatan omzet usaha transaksi sampah non-organik mitra per-bulan, dan pemasaran produk kerajinan di media-sosial oleh nasabah Mitra.
CLASSIFICATION OF ROASTING RATES IN COFFEE BEANS BY DIGITAL IMAGE PROCESSING USING THE NAIVE BAYES CLASSIFIER (NBC) METHOD M. Mahaputra Hidayat; Eko Prasetyo; Bambang Teguh Wicaksono
Jurnal IPTEK Vol 27, No 1 (2023): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2023.v27i1.3697

Abstract

Coffee is the bean of the coffee plant and is the source of coffee drinks. Coffee beans must pass through the coffee roasting stage or also called coffee roasting, from this stage of the process the coffee will be roasted and this process also has its own level. At this stage of the roasting process coffee shop business people often do not know this process, then in this case used Local Binary Pattern (LBP) method. LBP is a simple and very efficient texture operator by labeling pixels by doing thresholding on each pixel neighbors and considers the result as a binary number. This method is used to obtain the texture ektrasi of an image. While for the classification method using the Naive Bayes Classifier (NBC) method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. The algorithm uses Bayes' theorem and assumes all the independent or non-interdependent attributes given by the values on the class variables. From the test results by comparing training data and testing data obtained an accuracy rate of 81%. For an image-based developed system with display recognition difficulties, this performance is good.
Co-Authors Achmad Irfan Ferdiansyah Achmad Kiki Qushayri Wahyu Kusuma Adiananda Adiananda Afif Nuzia Al-Asadi Agus Mahmudi Ahmad Sarif Hikmawan Alamsyah Amirullah, Amirullah Anis Suryaningrum Ari Tria Widagda Arif Arizal Arif Mardi Waluyo Azziyati Nur Bambang Teguh Wicaksono Budi Endarto Chastine Fatichah Devit Hari Firmanto Diana Rapitasari Dita Mustika Anggraeni Efilah Risqi Maulana Erwin Dwi Riyanto Fardanto Setyatama Haryono Haryono Ida Lailatul Qurnia Indah Epriliati M Mahaputra Hidayat M. Febryansyah Hadi Putra M. Mahaputra Hidayat Mas Nurul Hamidah Mochammad Muchid Nanik Suciati R Dimas Adityo R Dimas Prasetyo R. Dimas Adityo Rahmawati Febrifyaning Tias Rahmawati Febriyaning Tias Rani Pubaningtyas Rani Purbaningtyas Rifki Fahrial Zainal Riyan Sukma Sasongko Rizka Ardiana Fitrianti Sona Ahmad Susanto Sutrisno Syariful Alim Wahyu Dyah Rizki Septiana Wildansyah Rokhmana Putra Wiwiet Herulambang