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All Journal Dinamik Jurnal Ilmiah Dinamika Teknik Jupiter Proceeding SENDI_U Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Informatika dan Rekayasa Elektronik Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdi Insani Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Journal of Telecommunication, Electronics and Control Engineering (JTECE) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat AMMA : Jurnal Pengabdian Masyarakat Intechno Journal : Information Technology Journal
Eddy Nurraharjo
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
Deteksi Jenis Rempah-Rempah Menggunakan Metode Convolutional Neural Network Secara Real Time Sanjaya, Mellynia; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.567

Abstract

Spices are one of the products of natural wealth owned by Indonesia which has been recognized by the world. Spices are part of plants that have benefits not only as a complement to spices in cooking, but are also used to boost the immune system of living things. Due to the many types of spices that exist in Indonesia, a system is needed to help the community, especially millennial children, to know the various types of spices correctly and clearly. The spice detection process is carried out using an accuracy calculation on the system using a dataset in the form of 1800 images and 12 types of spices. The classification process for spices is generated using the Convolutional Neural Network (CNN) method with the tensorflow module used for the training and testing process of data. The results of the accuracy experiment on spices resulted in an accuracy value of recognizing the type of spice of 60%.
Sistem Pendukung Keputusan Metode SMART Dalam Penentuan Pemberian Bantuan Sosial Berdasarkan DTKS Di Desa Bebengan Nurhidayat, Ahmad; supriyanto, Aji; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.511

Abstract

The level of welfare of the people in Indonesia is still low which results in the number of poverty is high. In an effort to reduce poverty in Indonesia, the government provide social assistance to provide capital or meet needs community food. There is a lot of help to make the shortage of help not right on target. In this effort, this research builds a support system decision by referring to the Integrated Community Welfare Data (DTKS) as the criteria. The DTKS data only contains BPS data for 2019 and not yet there periodically. Therefore, DTKS is needed to verify the poor restrictions on covid 19. This system aims to make it easier for Bebengan village officials in deciding the provision of social assistance to the community. methods that can be used The method used in this system is the SMART (Simple Multi Attribute Rating) method Technique). The SMART method is a fast multi-criteria retrieval technique and easy to use. To determine potential recipients of social assistance based on 10 criteria, namely: house conditions, water sources, income, electricity voltage, Education, employment, air resources, cooking fuel, age, dependents. Based on these 10 criteria, a decision support system is drawn up with: using intelligent methods, Decision Support System is a system computers that process data into information and decisions. From the criteria that given that the mother of the wife gets the top ranking as the top alternative with value 93.
Penerapan Metode SAW Pada Rekomendasi Pemilihan Jenis Jamur Untuk Budidaya Dan Konsumsi Nurrohim, Muhammad; Lestariningsih, Endang; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.508

Abstract

Advances and developments in technology are currently getting faster, because technology has many uses. One of them is technology is used to assist in making decisions. The aim of this research project is to design and build a decision support system to determine which mushroom plants can be cultivated and consumed safely, resulting in a recommendation system for selecting mushroom species for cultivation and consumption for users or the community. In recent years, mushrooms have become a hot topic of conversation in Indonesia. Currently, people in Indonesia are starting to like to consume various processed foods made from consumption mushrooms. So that the raw material for production, namely mushrooms, is needed quite a lot. In the end, several elements of society began to peek at business opportunities to cultivate consumption mushrooms to earn income. The method that will be applied in the system is the SAW (Simple Additive Weighting) method. The workings of the method is to perform calculations, namely calculating the weighted number of rating criteria on all attributes in each alternative then producing the largest value which is selected as the best alternative and a thorough ranking is carried out. The results obtained are for oyster mushrooms to be ranked as the best alternative with the largest value of 23
Co-Authors Abd. Rasyid Syamsuri Agung Prihandono Alimuddin Rizal Arief Jananto BHANU SRI NUGRAHA Budiarso, Zuly Budiarso Dewi Handayani Untari Ningsih Dwi Budi Santoso Dwi Budi Santoso Edy Winarno Elen Puspitasari Endang Lestariningsih Fatkhul Amin Felix Andreas Sutanto Handoko, Untung Dwi Heribertus Yulianton Herny Februariyanti Hersatoto Listiyono Itmamur Roghib Luthfiyan Jati Sasongko Wibowo Maharani, Jinoli Dyahayu Mardi Siswo Utomo Muji Sukur Mukhofifah, Mukhofifah Mulya Kurnia Kasanova Nofiyanto, Erwin Nurhidayat, Ahmad Nurrohim, Muhammad Saefurrohman Sanjaya, Mellynia Sari, Anisa Rachma Setyawan Wibisono Sujatmiko, Sri Tunjung Teguh Khristianto Vido Rizqy Setiardo Wafik Lazhuardian putra Selvia Wiwien Hadikurniawati Wiwik Handayani Yohanes Suhari Zuly Budiarso Zuly Budiharso