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Jurnal Teknologi Dan Sistem Informasi Bisnis
Published by Universitas Dharma Andalas
ISSN : -     EISSN : 26558238     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Teknologi dan Sistem Informasi Bisnis merupakan Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Dharma Andalas untuk berbagai kalangan yang mempunyai perhatian terhadap perkembangan teknologi komputer, baik dalam pengertian luas maupun khusus dalam bidang-bidang tertentu yang terkait dengan teknologi informatika komputer. Naskah yang diterima untuk diterbitkan berupa hasil penelitian lapangan, penelitian kepustakaan, pengamatan serta karya ilmiah yang berhubungan dengan topik yang relevan dengan situasi Teknologi Komputer.Jurnal Teknologi Komputer terbit 2 kali dalam satu tahun yaitu bulan Januari dan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 28 Documents
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Search results for , issue "Vol 4 No 2 (2022): Juli 2022" : 28 Documents clear
Knowledge Management Pada Digital Nomadism Untuk Peningkatan GIG Economy Adri Adri Adri; Yeni Melia
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i1.456

Abstract

Penelitian ini dilakukan untuk pengembangan model Knowledge Management (KM) dengan aspek Knowledge Creation (KC) dalam konteks Digital Nomadism (DNs) terhadap Gig Economy (GE). KM dengan kategori Discovery (Tacit, Explicit, Embedded and Source), Organization (type, organizing, function, specify), and Sharing (concept, mechanism, benefit, growth). DNs dengan dimensi Personal (personal knowledge management, lifestyle), Social (media cultural production, market practice, community practice), and Technology (platform infrastructure, nomadic infrastructure). GE dengan kriteria Employers (micro-entrepreneurship), Gig Workers (digital nomad), and Digital Platform (digital intermediated). Aspek KC menggunakan SECI model: Socialization (creating tacit asset from tacit asset), Externalization (creating explicit asset from tacit asset), Combination (creating explicit asset from explicit asset), and Internalization (creating tacit asset form explicit asset). Hasil penelitian menunjukkan bahwa model yang dibangun mampu menghasilkan model KM adaptif. Hal ini dengan implikasi pada DNs dalam sharing, collaborating, and learning melalui KM yang me-revolusi cara baru bekerja dan berinteraksi dalam aktifitas GE (living, working, and organizing).
Sistem Pendukung Keputusan Penentuan Penerima BLT Menggunakan Metode SAW Pandu Pratama Putra; Dafwen Toresa; Yogi Ersan Fadrial; Puspita Sari; Rometdo Muzawi; Sularno Sularno; Nori Sahrun
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i1.457

Abstract

Sidomulyo Village is a village located in the Lyric sub-district, Indragiri Hulu district, Riau Province. According to data obtained by researchers, there were 35 Regency Covid-19 BLT recipients and 51 Provincial Covid-19 BLT recipients. Then there were 95 recipients of BLT DD (Village Fund). In Sidomulyo Village, the recipients of direct cash assistance were only through data collection. This Decision Support System for Determination of Assistance uses the Simple Additive Weighting (SAW) method. The purpose of designing and making a Decision Support System for Determining Direct Cash Assistance is to assist Sidomulyo Village in receiving assistance. In the system that supports direct cash assistance, there are several criteria and alternatives used to determine direct cash assistance. The criteria used are: Occupation, Age, Number of Dependents, Income and Expenditures. While the alternative is all the people listed in the data recipients of direct cash assistance in the village of Sidomulyo. The results of this study are in the form of Determination of Direct Cash Assistance which helps Sidomulyo Village in determining.
Memprediksi Penjualan Pada Toko Hanifah Metode C.45 Muhammad Afdhal; Vicky Ariandi; Rita Rita
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i1.460

Abstract

Drug stocks in pharmacies are important information for the sales process. The existing stock is not in accordance with the needs of consumers, the distribution of drugs that are less needed in the stock will cause losses because the drug has expired due to too long stored in the warehouse. Another problem is that obat cannot predict drugs that are needed a lot, to overcome these problems needed a prediction system. These problems can be solved by the decision tree method for the prediction of drug supplies. The concept of the Decision Tree Algorithm is to convert data into decision trees and decision rules. System development with Waterfall model, using PHP programming language, My SQL database, system design using object oriented approach, system testing using Black Box for functionality test, validity testing with rapid miner tools. The result of the development of the system is a prediction of drug sales at pharmacies. The result of black-box testing is that all developed systems work properly. The results of the validity test by comparing the old system with the new system with the rapid miner, using 30 transaction samples the accuracy is 89% which means the system has good performance.
Sistem Pendukung Keputusan Pemilihan Supplier Pada PT. Avo Innovation Technology Dengan Metode Simple Addivite Weighting (SAW) Ahmad Ramadhan; Supatman Supatman
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i1.484

Abstract

Subjective decision making can lead to errors in supplier selection. In the selection of suppliers, the OEM (Original Equipment Manufacturing) Department has difficulty in choosing suppliers, because many suppliers have submitted offers of cooperation. Therefore, we need a supplier selection decision support system so that the OEM department can determine the appropriate supplier in purchasing products, services and materials. This decision support system uses the SAW (Simple Additive Weighting) method where this method is used to overcome existing problems, because there are many alternatives and criteria that must be considered in supplier selection such as legality, quality management, production capacity, production quality and innovation. From the tests carried out by comparison through Microsoft Excel and the web-based SAW program at PT Avo Innovation Technology using 13 data suppliers to test system performance. It was concluded from the test that the percentage of system performance was 100%, so that this system could be implemented in the company.
Sistem Informasi Pendaftaran Magang Dinas Pemuda Dan Olahraga Provinsi Sumatera Utara Samsudin Samsudin; Nurhalizah Nurhalizah; Ulfa Fadilah
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.489

Abstract

Abstract In this digital era, almost all human activities involve the internet. Certain agencies and fields want all processes in their offices to be fast and practical, as well as acceptance of internships or practical work. Usually, students who are in their 7th semester are required to take practical work courses or internships. the registration process is not short and time-consuming. Starting from students who apply for internships in the Study Program section, students receive a cover letter for practical work which will be brought to the destination agency. Students will bring a cover letter to the institution they are going to and wait for days or even weeks to find out whether their internship application is accepted or not. This makes students have to go back and forth to check whether the practical job application is accepted or not. This complicated and inefficient application process prompted us to develop an internship registration information system to address this problem. Our research uses the Software Development Life Cycle (SLDC) method or the so-called waterfall model. The system created and developed is websie-based using HTML, MySQL database, PHP programming language and Visual Studio Code as text editor. With this system, it is hoped that it will make it easier for companies or general sub-sectional agencies to notify the practice of accepting internships will be accepted or not. Keywords: Information System, Internship, Waterfall, Website
Sistem Pendukung Keputusan Penentuan Tunjangan Pegawai Dengan Metode SAW Studi Kasus ( PT Pos Yogyakarta) Fitriana Rukhiyati
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.493

Abstract

At this time, companies need to think about how to improve employee performance in the midst of today's competition. One method that can improve employee performance is to provide allowances to employees. Employee benefits are a form of appreciation or appreciation from the company for employees who are considered worthy by the company. PT Pos Yogyakarta is a company engaged in the logistics delivery service business. In this study a decision support system was built so that it can be used by companies and institutions/agencies in need. Development of a decision support system The employee benefits are implemented using the simple additive weighting (SAW) method. This method was chosen because it determines the weight for each attribute that will select the best alternative from other alternatives, in this case the alternative in question is an employee who is sure to receive a monthly allowance based on predetermined criteria. Based on the test results, the system built can simplify and assist the process of employee benefits and assist the manager of the human resources division (HR) in making decisions to determine employees who deserve benefits in the company.
Model Rute Perjalanan Minimal Dengan Menggunakan Vehicle Routing Problem Pada PT X Eko Sulistyono Sulistyono
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.497

Abstract

In this research discusses the problem of distributing goods from a depot to several customer locations to minimize travel costs. The problem is solved by using the Vehicle Routing Problem method. The data used in this research is secondary data with 10 customers and one depot. The aim of this research is to form a model from the data that has been obtained and determine the optimal travel route based on the model that has been formed. The first step is to form the objective function of the problem, then form the constraints that may occur. After the model is formed, a solution to the problem is sought. The total cost of the trip is obtained by multiplying the cost of the trip per kilometer by the total distance traveled.
Implementasi Data Mining Untuk Pengelompokan Buku Menggunakan Algoritma K-Means Clustering (Studi Kasus : Perpustakaan Politeknik LPP Yogyakarta) Nisriina Nuur Hasanah; Agus Sidiq Purnomo
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.499

Abstract

LPP Yogyakarta Polytechnic Library is a facility provided as a learning resource. The number of collections available in the library makes it easier for students to access various knowledge. On the other hand, the available books come from donations, so there is still a lack of control over the availability of certain books. For example, books that are given by contributors are related to engineering sciences, while those that are sought after are books on plantation science. Based on these problems, in order to optimize the availability of books, it is necessary to analyze so that the ratio of availability and the number of enthusiasts is appropriate. One alternative is to implement data mining using the K-Means Clustering method to help library managers analyze by grouping books from the number of borrowed and the number of available copies so that they can be used to support the decision whether to reproduce books with related titles or not. The data used in this study is the history of borrowing books from the Yogyakarta LPP Polytechnic Library for approximately 2 years. The final result of the research in the form of book data is the most in demand, quite in demand, and the least in demand.
Rekomendasi Pemilihan Tas Kulit Menggunakan Metode SAW (Studi Kasus: Mika Leather) Yasser Yazid Mohammad; Agus Sidiq Purnomo
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.503

Abstract

In this study, the author aims to design a decision support system using the Simple Additive Weighting (SAW) method to find recommendations for leather bags. In this study there are four criteria used by the author, namely price, authenticity or level of authenticity of leather, bag dimensions in inches, gender or gender. The existence of a Decision Support System (SPK) is expected to help make it easier for prospective consumers to choose bags according to their wishes. 57 Based on the data used, as many as 54 data or worth 92.98% are appropriate, and the remaining three data or worth 7.02% are not appropriate.
Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor Muhammad Jufri; Deosa Putra Caniago
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 2 (2022): Juli 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i2.510

Abstract

The ear is the five senses and is the external organ that most often interacts with external objects, the most common disturbance in the ear organs is an infection in the ear called otitis, otitis is an inflammation that causes an infection in the ear. Otitis itself has many types such as external, media, internal and others. with research using an Expert System, utilizing the Forward Chaining and Certainty Factor methods, it is hoped that it can help patients to be able to consult the system, as appropriate to consult an ENT-KL specialist, with an accuracy of up to 94%.

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