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All Journal Electro Luceat JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Cendekia : Jurnal Pengabdian Masyarakat INFORMASI (Jurnal Informatika dan Sistem Informasi) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal Zetroem
Yudo Bismo Utomo
Universitas Islam Kadiri
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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KLASIFIKASI CACAT PADA KALENG KEMASAN MENGGUNAKAN METODE LACUNARITY DAN NAÏVE BAYES Danang Erwanto; Putri Nur Rahayu; Yudo Bismo Utomo
Electro Luceat Vol 7 No 2 (2021): Electro Luceat (JEC) - November 2021
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v7i2.398

Abstract

Cans are steel sheets coated with tin (Sn) and used to package food and beverage products. The use of cans as packaging for food products because cans are difficult for microorganisms to pass and cannot be penetrated by ultraviolet light so that the quality of packaged food or beverage products is maintained. The cans selected as packaging must be in a non-defective condition so that an inspection process is needed on the cans. This research implements the Lacunarity and Naïve Bayes Classification methods to classify the types of cans which are grouped into 2 classes, namely Good and Reject. From the implementation of the Lacunarity method, it is able to produce 28 values of texture feature extraction that vary in each image. The results of the evaluation of the classification of the Naïve Bayes Classification method to classify the condition of packaged cans obtained an accuracy value of 0.87, a precision of 0.88, a recall of 0.86 and an f-measure of 0.87, so that the Naïve Bayes Classification method can classify the types of cans packaging in Good and Reject condition based on the value of texture extraction using the Lacunarity method.
Implementasi Metode Certainty Factor Berbasis Android Pada Sistem Pakar Diagnosa Kecanduan Smartphone Aries Muarriful Aziz; Yudo Bismo Utomo; Dian Efytra Yuliana
ZETROEM Vol 4 No 1 (2022): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v4i1.1813

Abstract

Storing human knowledge in certain fields into the system to analyze a problem so that the system can make intelligent decisions as experts do and solve the problem. The tendency of excessive and inappropriate use of smartphones can lead to addiction, the impact of which can interfere with social interaction with the surrounding community and damage eye health, many people do not realize that there are changes that occur when they are addicted to smartphones, so a system that is able to analyze and provide solutions is needed addiction to smartphones. This study designs an expert system that will be used to analyze smartphone addiction. Users of this application seem to be dealing directly with experts in the field of psychology. The system design is carried out by creating a knowledge base and converting it into various rules as a description of knowledge. The system is designed by implementing the certainty factor method and using the Android Studio application to design the appearance as well as to build this expert system application. The results of this study reveal the level of addiction to smartphones and the solutions for each level. Application testing is also carried out to determine the accuracy of the system. The results of this test can be concluded that the expert system is good enough even though it can only analyze 3 levels of addiction, and the accuracy of this expert system application is 86.67%.
Pelatihan Dan Pemanfaatan E-Commerce Sebagai Media Pemasaran Produk UMKM Di Desa Tales Kecamatan Ngadiluwih Kabupaten Kediri Aprilia Dian Evasari; Yudo Bismo Utomo; Diana Ambarwati
Cendekia : Jurnal Pengabdian Masyarakat Vol 1 No 2 (2019): Desember
Publisher : LPPM UNIVERSITAS ISLAM KADIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.917 KB) | DOI: 10.32503/cendekia.v1i2.603

Abstract

Pelaksanaan pengabdian kepada masyarakat ini melibatkan satu Mitra yaitu Kelompok UMKM “KIRANA”. Mitra ini bertempat di Desa Tales, Kecamatan Ngadiluwih, Kabupaten Kediri atau berjarak sekitar 10,5 km dari UNISKA Kediri. Kelompok ini memiliki aneka usaha, antara lain aneka kuliner dan kerajinan. Namun, kurangnya promosi dan penjualan produk yang masih dilakukan secara tradisional serta kemampuan manajemen atau pengelolaan yang kurang profesional, hal tersebut yang menyebabkan beberapa UMKM di Desa Tales kurang berkembang bahkan beberapa diantaranya gulung tikar. Ada lagi yang karena tetap ingin memperoleh pendapatan tetap menjualnya kepada pedagang besar tanpa merk, sehingga banyak yang produknya diakui sebagai produk orang lain. Tujuan dari pelaksanaan pengabdian kepada masyarakat ini adalah untuk menerapkan e-commerce terhadap penjualan aneka produk UMKM yang ada di Desa Tales dengan maksud mengenalkan dan meningkatkan omset penjualannya, sedangkan metode yang digunakan adalah dengan menggunakan metode parsitipatif, penyuluhan, pendampingan dan pelatihan. Hasil yang diperoleh dari pelaksanaan pengabdian kepada masyarakat ini yaitu dengan adanya bantuan pelatihan dan aplikasi e-commerce dapat meningkatkan motivasi bagi mitra untuk melaksanakan pemasaran terhadap produknya supaya omsetnya meningkat.
APLIKASI SISTEM PAKAR DALAM MENDETEKSI KERUSAKAN AC RUMAH BERBASIS ANDROID DENGAN MENGIMPLEMENTASIKAN METODE CERTAINTY FACTOR Yudo Bismo Utomo
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 4 No 2 (2021)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v4i2.290

Abstract

The current global warming season, Air Conditioning or AC, is a tool that is very useful for the community, because AC can cool a room. With its ability to cool a room, this air conditioner is often used continuously by the public, which makes it quickly damaged. When this AC device is damaged, people are confused and restless in repairing it. Moreover, coupled with the current Covid-19 pandemic, people are increasingly afraid to use the services of an AC technician, for fear of contracting the corona virus. This problem can be overcome by building a system where the system can help the community in diagnosing AC damage. The system is called an expert system to diagnose damage to home air conditioners using the Android-based certainty factor method. The result of this research is that with the application of this expert system, it can help the community in diagnosing AC damage and the level of accuracy in diagnosing AC damage using the certainty factor method is 80%.
Perancangan Aplikasi Pengukur Pakaian Berbasis Mobile Iin Kurniasari; Yudo Bismo Utomo; Aprilia Dian Evasari
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 14 No 2 (2022): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v14i2.184

Abstract

Di era new normal, aktivitas dan kebutuhan manusia akan berjalan normal seperti biasa namun dengan aturan atau protokol berbeda. Dan ini akan terjadi di semua sektor, salah satunya di sektor ekonomi, dalam hal ini adalah kebutuhan sandang. Di sekitar kita sudah banyak market place dan online shop tetapi hal ini tidak bisa menggantikan shopping center karena memiliki user experience yang berbeda bagi masyarakat. Pusat perbelanjaan seperti mall akan kembali ramai dikunjungi masyarakat luas, untuk itu diperlukan solusi yang dapat mendukung protokol social distancing dan juga mengurangi sentuhan fisik antar pengunjung secara langsung. Berdasarkan hal di atas, peneliti berinisiatif mengangkat judul penelitian Perancangan Aplikasi Pengukur Pakaian Berbasis Mobile yang memanfaatkan salah satu teknologi AI (Artificial Intelligent) yaitu pengolahan citra dengan tujuan agar dapat digunakan oleh setiap pengunjung mall tanpa harus mengantri dan melakukan kontak fisik berulang kali dengan pakaian yang akan dibeli dengan menggunakan Canny Edge Detection. Perancangan Aplikasi Pengukur Pakaian berbasis Mobile yang memanfaatkan salah satu teknologi AI yaitu image processing ini diharapkan dapat digunakan setiap pengunjung pusat perbelanjaan tanpa harus antri dan melakukan kontak fisik secara berulang dengan pakaian yang akan dibeli.
Image Extraction of Lettuce Leaves using Fast Fourier Transform Method and Color Moments Danang Erwanto; Yudo Bismo Utomo
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 5, No 2 (2022): August 2022
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v5i2.5275

Abstract

Lettuce (Lactuca sativa L.) is a seasonal leaf vegetable with high nutritional content which is usually fresh for consumption. Typical harvest age for lettuce is 45 days. Lettuce which is harvested more than 45 days will affect the taste of the lettuce. In addition to the lettuce’s age, there are several things that can affect taste of the lettuce, including room temperature, harvest time, and thickness of the leaf color. In this study, Fast Fourier transform (FFT) was used as feature extraction by changing the spatial domain in frequency domain image of the lettuce leaves, while the color moment method was used as the extraction of lettuce leaves. With this digital image processing, it can automatically identify maturity level of lettuce leaves. The classification process uses the Naïve Bayes method with the Weka application. The obtained results of texture and color extraction using FFT method and the color moment using Naïve Bayes classification method in the Weka application work well. From the results of the age classification of lettuce based on its leaf color, the average percentage of total accuracy was 94.4%. The correlation of color and taste using the correlation test which performed by SPSS, and it was found that there are positive relationship between color and taste with sig. (1-tailed) 0.05.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KETUA HIMAPRODI MENGGUNAKAN METODE WEIGHTED PRODUCT Yudo Bismo Utomo; Dian Efytra Yuliana; Harso Kurniadi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.703

Abstract

Himaprodi Tekkom is one of the student organizations at the level of the Computer Engineering Study Program on the Uniska Kediri campus and includes intra-campus organizations as well as extra-curricular activities that can be selected and participated in by each student. The term of office of the chairman of Himaprodi is one year; when the term of office ends, the selection of the new Himaprodi chairman will be held at the time of the musma. In its selection, Himaprodi Tekkom still uses manual methods that make it too time-consuming and less efficient. In order to be effective and efficient, and moreover, the study program is a computer engineering study program, a website-based recommendation system was created to determine the candidate for the new Himaprodi Chairman using the weighted product method as a data processor based on six criteria that have been given, including leadership, wisdom, competence, responsibility, communicativeness, creativity, and innovation. The results achieved from this study were to use the weighted product method, so Arif Nur Huda's name was chosen as the new head of the Himaprodi Teknik Komputer with a value of 0,447.
RANCANG BANGUN SISTEM INFORMASI FAFA (FACTORY FIREWALL ADMINISTRATIVE) BERBASIS WEBSITE (Studi Kasus : PT Lotus Indah Textile Industries) Afif Nurkholis; Yudo Bismo Utomo
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i2.287

Abstract

Di zaman yang serba digital ini seluruh lapisan masyarakat dihadapkan dengan kemajuan teknologi yang berkembang sangat pesat. Hampir semua kegiatan menggunakan teknologi digital. Mulai dari kegiatan pribadi sehari-hari, lingkungan sekitar, sekolah, hingga bisnis. Semuanya sudah digitalisasi. Dengan adanya perkembangan Bahasa pemrograman dan teknologi yang semakin mudah, membuat banyak orang menjadi ketergantungan terhadap teknologi. . Dalam penelitian ini saya membahas mengenai rancang bangun sebuah aplikasi untuk mendukung system pendataan pada pos keamanan. Adapun alat dan bahan yang diperlukan dalam pembuatan aplikasi antara lain database, browser, code editor (notepad,sublimetext, dll), dan computer. Metode yang digunakan mulai dari pengumpulan data, analisis kebutuhan system, desain arsitektur system, hingga implementasi aplikasi. Hasil dari penelitian yang dilakukan selama Kerja Praktek adalah sebuah aplikasi yang mendukung system pendataan pada pos keamanan berbasis web yang diberi nama FAFA ( Factory Firewall Administrative). FAFA merupakan aplikasi yang memuat beberapa opsi pendataan, diantaranya ada opsi Visitors, opsi Izin Keluar/Masuk Karyawan, opsi Export, opsi Galon, opsi Paket, opsi Barang Masuk/Keluar (selain ekspor), opsi Kunci, dan opsi logout. Didalam fitur terdapat menu monitor, input baru, search, rekap dan cetak rekap. Dengan adanya aplikasi ini membuat pendataan lebih mudah, efisien, dan terstruktur.
Co-Authors Achmad Arif Alfin Afif Nurkholis Agus Maulana Khafi ANITA SUMELVIA DEWI Aprilia Dian Evasari Aries Muarriful Aziz Dian Efytra Yuliana Erwanto, Danang Firda Nurelia Syah Putri Giofani Harsanto Halimahtus Mukminna, Halimahtus Harso Kurniadi Iin Kurniasari Muhammad Bagus Heramwan Putri Nur Rahayu