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U-NET Jurnal Teknik Informatika
Published by Universitas Al Washliyah Labuhanbatu
ISSN : 27224287     EISSN : 26228238     DOI : -
Core Subject : Science,
Computer Science & IT
U-NET Jurnal Teknik Informatika is a scientific journal published by Lembaga Penelitian dan Pengabdian Masyarakat Universitas Al Washliyah (UNIVA) Labuhanbatu. This journal has the results of scientific studies and is created to give research in Computer Science. U-NET helps local researchers and international researchers publish their work both in Indonesian and English. U-NET published twice a year (February and March) and downloaded for free
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 8 Documents
 1 
Search results for , issue "Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari" : 8 Documents clear
Metode Mabac Dalam Penentuan Kenaikan Gaji Karyawan Winanda Aprilia
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.571

Abstract

PT.Growth Asia Medan is a company engaged in steel production. Employees are the main object in HR studies to make the company's development increase, the success of the company's development can not be separated from the process of capacity activities of employees (workers) who do their work in the company, and in the process of doing their work a worker must be assessed, and employee appraisal should use an accurate method. and a good way, and has clear benchmarks so that fair in terms of employee assessment will be created, PT. Growth Asia Medan so far has not been optimal where the process is related to HR assessment. The assessment of these aspects is still using the manual method, so the accuracy of the results is not maximized, so we need a system that can provide convenience in determining a decision-making related to employee assessment for salary increases. To solve this problem the author designed a decision support system using the Mabac method in determining employees who are entitled to a salary increase. One of the methods used for decision support systems is the Mabac method which is able to simplify an unstructured complex problem.
Rancang Bangun Aplikasi Absensi Siswa Pada SMK Tarbiyah Islamiyah Berbasis Android Riska Mutia
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.572

Abstract

The attendance system is an important thing in a lecture as a student attendance recorder. At SMK Tarbiyah Islamiyah, attendance determines whether a student is entitled or not to take the Semester Final Examination with a percentage of 80% of 16 meetings in one semester. Currently, attendance is done conventionally, where students sign an attendance form based on the subject being studied. Retrieval of attendance data manually has many shortcomings, such as invalid data when the data entered is wrong, missing or corrupted existing data. Sheets of paper that are used as attendance tools are used during the lecture period of one semester, so the paper used is generally easily damaged. The problem with paper media is the background of the need for applications that can handle the attendance process, and at least reduce the level of risk of damage to the attendance data that has been generated. Associated with the problem of attendance files that have a high risk of damage and the ability of mobile devices that are able to process digital files that make it possible to deal with existing attendance system problems, the rationale for making applications that can handle student attendance problems that occur in the world of lectures emerges. The ability of Android as a sophisticated device, is considered very capable of dealing with existing problems. The application that is built is expected to be able to handle data processing in the attendance system so as to produce the required information such as recapitulation data, as well as overcome the problem of attendance data damage.
Sistem Pendukung Keputusan Penentuan Guru Bidang Studi Pada Sekolah SMK Siti Banun Rantauprapat Menggunakan Metode Simple Additive Weighting (SAW) Hsb, Heri Faysal; Ritonga, Wahyu Azhar; Subagio, S
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.850

Abstract

Teachers are one of the most important components owned by schools in sustaining life, which is a challenge for the management of educational institutions to be able to provide an appropriate, effective and efficient decision in managing data in an increasingly competitive business world that encourages schools to work harder. in improving the quality of their schools. The Decision Support System or SPK for determining subject teachers with the (SAW) method produces a system that can determine an option that can assist the head in making decisions. The simple additive weighting (SAW) method applies a weighted average to calculate the amount of production as the final result.
Sistem pakar deteksi penyakit jagung dengan metode forward chaining di kelompok tani lestari desa bandar kumbul Muliadong pane, Siti rahma pane; Subagio, S; Ritonga, Wahyu Azhar
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.871

Abstract

One of the causes of the failure of hybrid corn cultivation activities is pests and diseases which are the result of complex or unbalanced interactions between the three components in weak aquatic ecosystems, ferocious pathogens and deteriorating environmental quality. With that, it is necessary to have an application that can help farmers to take care of corn plants so that they are not attacked by pests and diseases. The application system created in this study is an expert system that can analyze the types of diseases in corn. The expert system in this study uses the Forward Changing method. This expert system is expected to be able to assist farmers in solving farmer problems in detecting corn disease by making applications using WEB, with MySQL and Xampp databases.
Jurnal Implementasi Cloud Computing Berbasis Open Source Dengan Metode Private Cloud Storage Pada SMP Negeri 1 Rantau Selatan Pahri aulia Sarumpaet
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.887

Abstract

SMP N 1 Rantau Selatan is a junior high school located in Sioldengan Village, Rantau Selatan District, Labuhanbatu Regency, North Sumatra. As time went on, junior high schools experienced many problems in managing centralized data storage media, synchronizing between devices and file sharing. Where data storage is carried out on each computer not centralized and file sharing is still manual between one computer and another. Making it difficult for teachers and students of SMP Negeri 1 Rantau Selatan to do file sharing and centralized data storage. So through the authors of SMP Negeri 1 Rantau Selatan, they have an innovation to implement the Cloud Computing system to overcome this problem. Cloud Computing is a client-server model, where resources such as servers, storage, network and software can be viewed as services that can be accessed by users remotely and at any time. Cloud computing infrastructure such as: servers, storage, network, and various software is called "cloud". In this study using the Linear Sequential Model method. This method is used to build the required system model to build a cloud computing server. This study uses the Linear Sequential Model method considering that the built Cloud Computing is a system that has high complexity and takes a long time so it needs to be built systematically.
Pengelompokan Penyebaran Produk Yamaha Menggunakan Metode K-Means Clustering Sun Berlian Motor Di Jl. SM Raja Bakaran Batu Tanjung, Riska Wulandari; Suryadi, Sudi; Ritonga, Wahyu Azhar
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Design of the K-Means Method for Grouping the Distribution of Yamaha Sun Berlian Motor Products on Jl. SM Raja Bakaran Batu based on motorbike type and color. Research data can be grouped based on the type and color of motorbike. Using the K-Means Clustering Method. The complete results of the K-Means calculation process to determine the type and color of the Yamaha motorbike sun diamond are grouped into 4 clusters according to the type and color of the motorbike. Where the number of motorbikes in cluster 1 according to type and color is 51, cluster 2 is 29, cluster 3 is 23 and cluster 4 is 5.
Pengenalan Jenis Hama Pada Daun Kelapa Untuk Penentuan Pertumbuhan Kelapa Berdasarkan Citra Digital Sukriatna; Rosnelly, Rika
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i1.1073

Abstract

Petani merupakan seseorang yang memelihara tanaman seperti kelapa. Setiap petani berhak menerima hasil terbaik dari yang di tanam. Lahan yang bagus mampu menghasilkan tanaman yang baik, kualitas tanaman terbaik di hasilkan ketika pertumbuhan tanaman stabil. Pertumbuhan tanaman stabil dilakukan dengan cara mengontrol pertumbuhan pada tanaman. Pada umumnya petani mengontrol pertumbuhan tanaman dengan cara tradisional, hal tersebut membuat kekeliruan petani untuk pertumbuhan tanaman. Namun seiring dengan perkembangan teknologi pengawasan pertumbuhan pada tanaman dapat dilakukan secara terkomputerisasi. Dengan adanya permasalahan tersebut maka diperlukan sebuah sistem untuk mengenali jenis hama pada daun kelapa. Pengenalan jenis hama tersebut dapat diterapkan dan diaplikasikan dengan menggunakan metode K-Means Clustering dan SVM (Support Vector Machine). K-Means Clustering adalah metode yang digunakan untuk segmentasi citra sedangkan SVM adalah metode yang digunakan untuk pengakelasan data jenis hama.
EXPERT SYSTEM FOR DIAGNOSIS OF DISEASES OF celery plants WITH FORWARD CHAINING METHOD IN GROUP SIMPORIK VILLAGE FARMER Pasaribu, Putri Delvina; Subagio, S
U-NET Jurnal Teknik Informatika Vol. 8 No. 1 (2024): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is motivated by problems in Siamporik Village who have good celery planting skills, but lack knowledge about this celery plant disease. In the village of Siamporik, the skill of growing celery is due to the lack of detecting celery disease which makes the harvest unsatisfactory. To reduce yield losses, an expert system for diagnosing sop leaves (celery) was created so that it can detect plant diseases, using the Forward Channeling method, using the Web as an application, and using MySQL and Xampp databases.

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