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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)

Zulia Almaida Siregar

STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

Author-ID : 3567291

Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

Published : 7 Documents Claim Missing Document

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Articles

Penerapan Jaringan Syaraf Tiruan Backpropagation Dalam Memprediksi Jumlah Pertumbuhan Kendaraan Di Provinsi Sumatera Utara Bagus Supranda; S Solikhun; Zulia Almaida Siregar
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 4 (2022): RESOLUSI Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v2i4.333

Motorized vehicles are part of the need for transportation of vehicles that are derivatives due to economic, social, and other activities. The growth of vehicles is not proportional to the population in the province of North Sumatra. This causes various negative impacts, one of which is an increase in traffic congestion, air pollution from motorized vehicles which causes an increase in greenhouse gas emissions. Based on this problem, it is necessary to predict the number of vehicles in North Sumatra Province using the backpropagation algorithm artificial neural network. The results of trials carried out with MATLAB R2011b software, the best architectural model is the 2-2-1 model with an accuracy rate of 94% with MSE number 0.000208514, epoch value 789. It can be concluded that the Backpropagation method can be used as one of the predictive methods that make it easier to find predictions. Whatever.

Penerapan Metode K-Means Dalam Mengelompokkan Persebaran Lahan Kritis Di Indonesia Berdasarkan Provinsi Putra Pratama Siregar; S Solikhun; Zulia Almaida Siregar
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 4 (2022): RESOLUSI Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v2i4.335

The study aims to group the distribution of critical land in Indonesia by province. To solve this problem, researchers applied the K-Means Algorithm method. Where the source of research data is collected based on documents - documents of Information on The Extent and Dissemination of Critical Land By Province produced by the Central Statistics Agency (BPS). The data used in the study was data from 2011, 2013 and 2018 consisting of 34 provinces. Data will be processed by clustering in 2 clusters, namely clusters of high critical land distribution rates and clusters of low critical land distribution rates. The high cluster amounted to 4 data, namely the provinces of North Sumatra, Jambi, East Java, and Central Kalimantan. With the conduct of research can contribute in improving the performance of Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung (BPDASHL) on the process of fixing and tackling critical land in the provinces in Indonesia.

Application of Multiple Linear Regression Algorithm for Motorcycle Sales Estimation Elvri Rahayu; Iin Parlina; Zulia Almaida Siregar
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

CV. Kerinci Motor is a company engaged in the transportation and automotive sector, especially in the sale of motorcycles. The uncertainty in the number of motorcycle sales at this company has hampered the company's development, because the company cannot take definite policies regarding the sales that occur. Therefore, it is necessary to estimate the sales of motorcycles at this company in the future, so that the management can estimate consumer demand in the future. So that the company is able to serve and provide consumer demand. The estimation algorithm that will be used in this research is Multiple Linear Regression which is one of the data mining methods. This method was chosen because it is able to make an estimate by utilizing data regarding sales. The results of the estimated (estimated) sales of manual motorcycles in 2021 by January are 56,941 or 57 motorcycles in the manual category. This means that there is an increase in the number of manual motorbikes by 5 motorbikes, while the results until May 2021 amounted to 65,710 motorbikes. So it can be concluded that sales of motorcycles at CV. Kerinci Motor have increased sales in the next 5 months.

Backpropagation Model in Predicting the Location of Prospective Freshman Schools for Promotion Optimization Muhammad Fahrur Rozi; Dedy Hartama; Ika Purnama Sari; Rafiqa Dewi; Zulia Almaida Siregar
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

In carrying out promotions, it is also necessary to pay for the manufacture of brochures, banners and other promotional media to provide information to prospective students and attract prospective students to register. Determining the location of the promotion is one of the success factors in promotional activities. In this study, the Artificial Neural Network will be used to predict the location of the promotion. Backpropagation is one of the best artificial neural network methods used for prediction, this method is widely used by researchers in predicting a problem. The data analysis tool used is Matlab or what we call the (Matrix Laboratory) which is a program to analyze and compute numerical data, and Matlab is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. From the results of the algorithm used, it is expected to get good accuracy results with some architectural experiments later. So that this research can be an indicator to optimize promotions in the following year in order to attract prospective students to register for AMIK and STIKOM Tunas Bangsa Pematangsiantar

Analysis of K-Means Algorithm for Clustering of Covid-19 Social Assistance Recipients Sri Rahmayani; S Sumarno; Zulia Almaida Siregar
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

During the Covid-19 pandemic, the government provided assistance distributed through each sub-district throughout the province of Indonesia, one of which was the Pahlawan Village in the East Siantar District Pematangsiantar City. So far, the assistance provided by Kelurahan Pahlawan is still done manually, so errors in data collection and distribution of aid may occur. To overcome this problem, a study was carried out by applying the K-Means algorithm to determine the eligibility cluster of Covid-19 beneficiaries, which was carried out by collecting population data according to predetermined attributes. Then the population data will be clustered using the K-Means algorithm and tested using the Rapid Miner application. The clustering results obtained are that cluster 0 consists of 26 data and that cluster 1 consists of 24 data. The recipients of Covid-19 social assistance using the K-Means algorithm show that those entitled to receive the gift are the elderly (elderly). Based on this, it can be concluded that the K-Means Algorithm can be applied to produce more practical information in determining who is entitled to receive assistance

Analisis Faktor Kepuasan Konsumen Terhadap Produk Roti Pinkan Bakery & Cake dengan Algoritma C4.5 Novita Indriyani; Heru Satria Tambunan; Zulia Almaida Siregar
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Penelitian ini bertujuan untuk mengetahui besar tingkat kepuasan konsumen terhadap produk roti Pinkan Bakery & Cake. Dengan mengetahui tingkat kepuasan konsumen, maka pihak toko dapat memperbaiki dan meningkatkan faktor kepuasan konsumen apabila ada kelemahan dan kekurangan. Metode yang digunakan dalam penelitian ini dengan data mining yaitu Algoritma C4.5, sumber data diambil dengan menggunakan angket/kuesioner pada tahap survei pengisian lembar kertas kepada pengunjung toko atau masyarakat sekitar di lingkungan Desa Bangun. Adapun variabel yang digunakan yaitu (1) Harga, (2) Rasa, (3) Kualitas Produk, (4) Kebersihan Tempat. Untuk memudahkan proses pembuatan pohon keputusan proses uji penelitian menggunakan software Rapidminer 5.3. Berdasarkan seluruh hasil tahapan penelitian yang telah dilakukan pada Penerapan Algoritma C4.5 pada analisis faktor Kepuasan Konsumen terhadap Produk Roti Pinkan Bakery and Cake dapat disimpulkan bahwa permasalahan menentukan faktor kepuasan konsumen terhadap produk Roti dapat diselesaikan menggunakan teknik data mining, yaitu dengan Algoritma C4.5. Menghasilkan 5 rules dan Tingkat akurasi yang dihasilkan oleh metode tersebut adalah 93%. Dari perhitungan dengan Algoritma C4.5 maka didapatkan faktor yang paling dominan adalah Rasa (C2) dengan nilai gain sebesar 0,333610402.

Decision Support System for Giving PDAM Tirtauli Pematangsiantar Employee Bonuses Using the Weighted Product (WP) Method Mira Ariffiani; Irfan Sudahri Damanik; Zulia Almaida Siregar
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 2 No. 1 (2023): March
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v2i1.346

Employee Bonuses at PDAM Tirtauli Pematangsiantar are given to employees who are selected as employees of the workforce who perform their work in accordance with the profession through the selection process. The process of judgment and decision-making in selection is usually subjective when there are some recipients of employee bonuses who have not much different abilities. Applications created in this research in the form of Decision Support System Employee Bonus Employee PDAM Tirtauli Pematangsiantar Using Weighted Product Method. This application is used to assist the selection in conducting assessments of the competency of the recipients of employee bonus giving and recommendation in decision making. The assessment criteria used include other Attendance, Number of Children, Length of Work, Responsibility, and Loyalty. Weighted Product method is a method of completion by using multiplication to associate attribute values, where the value must be raised first with the attribute weights in question. The system is built using WEB and MySQL programming language for data processing. The result of the research is the application of the recipient of the employee bonus giving to facilitate the process of selecting the recipients of the employee bonus giving according to the need.

Co-Authors Bagus Supranda Dedy Hartama Dewi, Rafiqa Elvri Rahayu Heru Satria Tambunan Iin Parlina Ika Purnama Sari Irfan Sudahri Damanik Mira Ariffiani Muhammad Fahrur Rozi Novita Indriyani Putra Pratama Siregar S Solikhun S Sumarno Sri Rahmayani

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