Garuda - Garba Rujukan Digital

Prediction of the Number of Arrivals of Training Students With the Monte Carlo Method Sapriadi, Sopi; Yunus, Yuhandri; Dari, Rahmatia Wulan
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i1.168

The simulation of predicting student arrivals for training is an estimate of the calculation of the arrival rate of students in a period to conduct training. The number of student visits is too many, sometimes inversely proportional to the programmers who carry out learning, this causes the ongoing service to be less than optimal. This study aims to predict student arrivals in the future better. The data processed in this study were 3 periods sourced from the administration of a private company in West Sumatra. The data will be processed and calculated using the Monte Carlo method. The data were tested with various possible elements using a random sample. A powerful numerical calculation tool by simulating statistical data, this simulation obtains accurate values accurately from the physical form of the system that can be observed. The calculation implementation will be developed using an application-based system that will be built with the Hypertext Preprocessor (PHP) programming language. The system developed is easier and more relevant by applying Information Technology. The results obtained in predicting are 80% for 2017 and 84% for 2018. From the results of 80% accuracy in 2017 and 84% 2018 the system works very well to implement. Based on the results of data processing with the Monte Carlo method, it can be predicted that the number of student arrivals for training, as well as a good and fast decision-making process in the future.

Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo Zalmadani, Hendro; Santony, Julius; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (March 2020)
Publisher : SAFE-Network

The availability of red bricks on the market is a problem that must be addressed. Because the availability of red brick affects sales revenue. The purpose of this research in the Small and Medium Micro Business of the Red Brick City of Pariaman is to predict the production of red bricks to find out income and find out the next production. So this research can make it easier for business owners to find out how much it will cost for the next production cost. The data used in this study are production data from 2017 to 2019 which are processed using the Monte Carlo method. Based on the results of production prediction testing that has been done, it is found that the average accuracy is 90%. With the results of a high degree of accuracy, the application of the monte carlo method is considered to be able to predict production annually. Making it easier for business owners to determine the costs incurred in the next production process.

Optimalisasi Penggunaan Lahan Perkebunan Kelapa Hibrida Menggunakan K-Means Clustering Andema, Henky; Defit, Sarjon; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Plantations are the main source of income for farmers in Indragiri Hilir Regency. This plantation is the plantation sector most widely cultivated by farmers is a coconut plantation. The best grouping of coconut cultivation areas is important in developing farmers' income. This study aims to help the Plantation Office in the process of making the best decision areas for planting coconut, especially hybrid coconut. The data used in this study is the data of hybrid coconut plantations in 2018. Data processing in this study uses the K-Means Clustering method with the number of 3 Clusters namely Cluster 0 (C0) Less Potential, Cluster 1 (C1) Enough Potential, Cluster 2 (C2) Very Potential for planting hybrid coconuts. The results of the clustering process with 2 iterations stated that for Cluster 0 there were 7 village data, for Cluster 1 there were 1 village data, and for Cluster 2 there were 2 village data.

Prediksi Tingkat Kedatangan Wisatawan Asing Menggunakan Metode Backpropagation Salimu, Salman Alfarisi; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020)
Publisher : SAFE-Network

The tourism industry is always growing and plays an important role in the national economy, both as the second largest contributor to foreign exchange and as a large labor absorber. This study aims to optimize production using the Artificial Neural Network (ANN) method. The technique used is Backpropagation. The data processed is data on the number of foreign tourists from 2017 to 2019 in the Mentawai Islands. The results of the momentum obtained are 2-5-1 on the division of data into 2, namely training data for 2017 and 2018 and test data for 2019. The optimal prediction result is 0.99847, so this research is very helpful in predicting the arrival rate of foreign tourists in Mentawai Islands.

Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Penjualan Kuliner Ihksan, Muhammad; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (March 2021)
Publisher : SAFE-Network

Radja Minas is one of the culinary places located in the city of Padang with more than 30 employees. With the development of Radja Minas, of course, a good management strategy is needed. One way to do a revenue simulation, sales revenue simulation is a process of drawing or predicting sales. This study aims to predict the average sales revenue, so that it becomes a recommendation for use in making management strategies. The data processed in this research is sales data from 2017 to 2019 which comes from Radja Minas. This data will be processed using the monte Carlo method. The results of the tests that have been done have an accuracy rate of 92.66%. The high level of accuracy from the results of predictive data processing, this research is very precise and suitable for optimizing sales revenue. So that this research becomes a recommendation to be used in making a management strategy at Radja Minas in the future.

Klasterisasi Dana Bantuan Pada Program Keluarga Harapan (PKH) Menggunakan Metode K-Means Said, Abdul Azis; Defit, Sarjon; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (June 2021)
Publisher : SAFE-Network

The Family of Hope Program (PKH) is a program that aims to reduce poverty and improve the quality of human resources. Optimizing the provision of assistance in accordance with the expectations of those in need. Data on the poor or integrated social welfare data is needed as a reference for grouping. This study aims to make it easier for the selection team to provide assistance in accordance with the predetermined criteria whether or not they deserve to receive the assistance. The data used in the study is data from 2019. The data processing in this study uses the K-Means Clustering method with 3 clusters, namely Cluster 1 (C1) Nearly Poor Households (RTHM), Cluster 2 (C2) Poor Households (RTM), Cluster 3 (C3) Very Poor Households (RTSM). The results of the clustering process with 2 iterations state that for Cluster 1 the amount of data is, for Cluster 2 the amount of data, and for Cluster 3 the amount of data. So this research is very helpful in relocating targeted assistance according to the family hope cluster.

Evaluasi Penentuan Kelayakan Pemberian Subsidi Listrik dengan Metode MFEP Yanto, Bobi Heri; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 3 (September 2021)
Publisher : SAFE-Network

The electricity subsidy program is a poverty control program that provides electricity subsidies to poor and underprivileged households that are paid by the Government of Indonesia to PT. PLN. The purpose of providing subsidies is to achieve a power supply and help poor customers and those who have not been contacted by PT. PLN so that they can enjoy electrical energy. At PT. Haleyora Power to determine the recipients of electricity subsidies there are still many mistakes such as not being on target, these subsidies are even obtained by people who are able to this incident not only in one period but often, because in the Decision Making System determining the eligibility of electricity subsidy recipients still uses a manual process and the database used is still in paper form in the form of files and there are no specific characteristics to be considered. This research aims to produce a system that can be used as a tool and makes it easier to determine the eligibility of electricity subsidy recipients. The method used in this research is the Multifactor Evaluation Process (MFEP) method. With the existence of a decision support system for determining eligibility assistance for electricity subsidies, the eligibility criteria will become clearer. The results of the ranking of 20 potential electricity subsidy recipients whose data are processed and produce a total calculation or accuracy of 100% using the Multifactor Evaluation Process (MFEP) method based on data on electricity subsidy recipients at PT. Haleyora Power. So that this research can be a reference in making the right decisions on providing electricity subsidies at PT. Haleyora Power.

Vulnerability Testing and Analysis on Websites and Web-Based Applications in the XYZ Faculty Environment Using Acunetix Vulnerability Rahmi, Mifthahul; Yunus, Yuhandri; Sumijan, Sumijan
JITCE (Journal of Information Technology and Computer Engineering) Vol 8 No 2 (2024): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.83-96.2024

The internet's continuous evolution has profoundly impacted society through the advancement of website technology and applications, reshaping contemporary ways of life. These digital platforms offer unrestricted information access, overcoming spatial and temporal limitations. In the realm of software development, Vulnerability Assessment is essential for producing high-quality products, as seemingly minor errors can create dangerous vulnerabilities that malicious actors may exploit to pilfer information from websites or applications. This study examines the security level of the Integrated website and application within the Faculty of Medicine, Universitas Andalas (Fakultas XYZ) environment, utilizing the Acunetix Web Vulnerability Scanner tool. The initial scan revealed a threat level of 3 (high) for the Fakultas XYZ website and level 2 (medium) for the Integrated application. Following a recapitulation process, several web alerts were identified for optimization, including Cross-Site Scripting (XSS), Blind SQL Injection, Application error message, HTML form without CSRF protection, Development configuration file, Directory listing, Error message on page, and User credentials sent in clear text. The optimization process involved source code review and enhancement to improve website features. A subsequent scan post-optimization demonstrated a reduction in threat levels for both the website and the UNAND FK Symphony application, with both achieving threat level 1 (low).

Vulnerability Testing and Analysis on Websites and Web-Based Applications in the XYZ Faculty Environment Using Acunetix Vulnerability Rahmi, Mifthahul; Yunus, Yuhandri; Sumijan, Sumijan
JITCE (Journal of Information Technology and Computer Engineering) Vol. 8 No. 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.8.2.83-96.2024

The internet's continuous evolution has profoundly impacted society through the advancement of website technology and applications, reshaping contemporary ways of life. These digital platforms offer unrestricted information access, overcoming spatial and temporal limitations. In the realm of software development, Vulnerability Assessment is essential for producing high-quality products, as seemingly minor errors can create dangerous vulnerabilities that malicious actors may exploit to pilfer information from websites or applications. This study examines the security level of the Integrated website and application within the Faculty of Medicine, Universitas Andalas (Fakultas XYZ) environment, utilizing the Acunetix Web Vulnerability Scanner tool. The initial scan revealed a threat level of 3 (high) for the Fakultas XYZ website and level 2 (medium) for the Integrated application. Following a recapitulation process, several web alerts were identified for optimization, including Cross-Site Scripting (XSS), Blind SQL Injection, Application error message, HTML form without CSRF protection, Development configuration file, Directory listing, Error message on page, and User credentials sent in clear text. The optimization process involved source code review and enhancement to improve website features. A subsequent scan post-optimization demonstrated a reduction in threat levels for both the website and the UNAND FK Symphony application, with both achieving threat level 1 (low).

APPLICATION OF THE PROFILE MATCHING METHOD IN RECOMMENDING DOCTORAL CANDIDATES FOR LECTURER (CASE STUDY AT STMIK ROYAL) Amin, Muhammad; Nurcahyo, Gunadi Widi; Yunus, Yuhandri
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 3 (2024): Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3055

Abstract: The advancement of information technology and knowledge has facilitated the production of quality information. The use of information technology has penetrated all fields, especially in the teaching domain at higher education institutions, aiding in valuable decision-making processes. This research focuses on STMIK Royal Kisaran, which faces challenges in increasing the number of doctoral-educated lecturers. To address this limitation, the study explores the implementation of a Decision Support System (DSS) using the Profile Matching method. Lecturers in higher education play a crucial role in providing education, conducting research, and contributing to society. In an effort to enhance the qualifications of lecturers, this research designs a Decision Support System using the Profile Matching method. The aim of this research is to provide recommendations for prospective lecturer candidates to pursue a Doctoral degree based on criteria factors such as length of service, functional position, research score, dedication score, age, and recognition score. Data from 46 lecturers at STMIK Royal Kisaran who meet the criteria are used to test the validity and effectiveness of the Decision Support System (DSS). Through structured analysis, it is demonstrated that the Decision Support System using the Profile Matching method successfully provides recommendations for suitable lecturer candidates to pursue doctoral studies.Keywords : decision support systems; higher education; information Technology; lecturer qualifications; profile matching. Abstrak: Kemajuan teknologi informasi dan ilmu pengetahuan telah menghadirkan kemudahan dalam menghasilkan informasi yang berkualitas, penggunaan teknologi informasi sudah memasuki segala bidang terutama bidang pengajaran pada perguruan tinggi dan membantu pengambilan keputusan yang bernilai. Penelitian ini berfokus pada STMIK Royal Kisaran yang mengalami kendala dalam meningkatkan jumlah dosen berpendidikan Doktor. Untuk mengatasi keterbatasan tersebut, penelitian ini mengeksplorasi penerapan Sistem Pendukung Keputusan (DSS) dengan menggunakan metode Profile Matching. Dosen pada pendidikan tinggi mempunyai peran penting dalam memberikan pendidikan, melakukan penelitian, dan memberikan kontribusi kepada masyarakat. Dalam upaya meningkatkan kualifikasi dosen, penelitian ini merancang Sistem Pendukung Keputusan dengan menggunakan metode Profile Matching. Penelitian ini bertujuan untuk memberikan rekomendasi kandidat calon dosen untuk mengejar gelar Doktor dengan berlandaskan faktor kriteria seperti lama kerja, jabatan fungsional, nilai penelitian, nilai pengabdian, umur, dan nilai rekognisi. Data dari 46 dosen STMIK Royal Kisaran yang memenuhi kriteria digunakan untuk menguji validitas dan efektivitas Sistem Pendukung Keputusan (SPK). Melalui analisis terstruktur, menunjukkan bahwa Sistem Pendukung Keputusan menggunakan metode Profile Matching berhasil memberikan rekomendasi calon dosen yang layak direkomendasikan untuk melanjutkan studi ke jenjang Doktor.Kata Kunci : kualifikasi dosen; pencocokan profil; pendidikan yang lebih tinggi; sistem pendukung keputusan; teknologi Informasi.

Title

Found 20 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 20 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 20 Documents
Search