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Student Conference on Research and Development (SCOReD)

作者： Nurbaity Sabri Aqilah Nadiah Md Sahiq Hazwa Hanim Mohamed Hamzah Hartayuni Sain Nur Nabilah Abu Mangshor Anis Amilah Shari College of Computing Informatics and Mathematics Universiti Teknologi MARA Cawangan Melaka Kampus Jasin Melaka Malaysia Faculty of Business and Management Universiti Teknologi MARA Cawangan Melaka Kampus Bandaraya Melaka Malaysia Statistics Study Program Mathematics and Natural Science Faculty Tadulako University Palu Indonesia

ISBN: (数字)9798331510077

ISBN: (纸本)9798331510084

The Middle 40 Per Cent (M40) demographic comprises a substantial proportion of Malaysia’s consumer base, comprising the median 40% of income earners. This group is a big part of the country’s customer base. The rising cost of living, flat wage growth, and rising family debt make this group especially vulnerable to financial instability. Given these economic pressures, predicting the possibility of bankruptcy in this population is becoming increasingly crucial to allow for early intervention and preventive actions. Support Vector Machines (SVM) are recognized for their efficacy in classification tasks, particularly with small or imbalanced datasets. SVM prediction will be utilized using 14694 samples of the Debt management program (DMP) dataset from 2016 to 2020. Twenty-three (23) features will be implemented on the dataset and Synthetic Minority Oversampling Technique (SMOTE) to improve the imbalanced datasets. The experiment demonstrates that the SVM classifier obtained 91.1% accuracy when implementing PUK kernels. It suggests that SVM is a plausible alternative model for predicting personal bankruptcy in the M40 group. To anticipate personal bankruptcy for M40, additional prediction models will be evaluated in the future.

关键词： Support vector machines Machine learning algorithms Neural networks Predictive models Prediction algorithms Data models Vectors Bankruptcy Research and development Random forests

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Comparison of simple additive weighting (SAW) and composite performance index (CPI) methods in employee remuneration determination

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IOP Conference Series: Materials Science and Engineering 2017年第1期166卷

作者： L. Karlitasari D. Suhartini Benny Computer Science Study Program Pakuan University Bogor INDONESIA Informatics Management D3 Study Program Pakuan University Bogor INDONESIA

The process of determining the employee remuneration for PT Sepatu Mas Idaman currently are still using Microsoft Excel-based spreadsheet where in the spreadsheet there is the value of criterias that must be calculated for every employee. This can give the effect of doubt during the assesment process, therefore resulting in the process to take much longer time. The process of employee remuneration determination is conducted by the assesment team based on some criterias that have been predetermined. The criteria used in the assessment process are namely the ability to work, human relations, job responsibility, discipline, creativity, work, achievement of targets, and absence. To ease the determination of employee remuneration to be more efficient and effective, the Simple Additive Weighting (SAW) method is used. SAW method can help in decision making for a certain case, and the calculation that generates the greatest value will be chosen as the best alternative. Other than SAW, also by using another method was the CPI method which is one of the calculating method in decision making based on performance index. Where SAW method was more faster by 89-93% compared to CPI method. Therefore it is expected that this application can be an evaluation material for the need of training and development for employee performances to be more optimal.

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Analysis of Perceptron Quantum Artificial Neural Networks to Classify the Feasibility of Prospective Debtors

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Journal of Physics: Conference Series 2020年第1期1641卷

作者： Lise Pujiastuti Mochamad Wahyudi Solikhun STMIK Antar Bangsa Information System Study Program Banten Indonesia Universitas Bina Sarana Informatika Faculty of Technical and Informatics Information Technology Study Program DKI Jakarta Indonesiaa AMIK Tunas Bangsa Pematangsiantar Informatics Management Study Program North Sumatra Indonesia

Bank is a business entity whose activities are collecting funds from the public in the form of deposits and channeling them to the public in the form of loans or other forms to improve the lives of many people. This study aims to classify the feasibility data of prospective borrowers with the perceptron algorithm using quantum computing to facilitate the bank in determining the prospective debtor. The results of this study are an analysis of the feasibility of prospective borrowers using the perceptron algorithm with quantum computing.

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Ann : Predicting of State Retail Sukuk Based on Region in Indonesia

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Journal of Physics: Conference Series 2021年第1期1830卷

作者： Solikhun Lise Pujiastuti Mochamad Wahyudi AMIK Tunas Bangsa Pematangsiantar Informatics Management Study Program North Sumatra Indonesia STMIK Antar Bangsa Information System Study Program Banten Indonesia Universitas Bina Sarana Informatika Faculty of Technical and Informatics Information Technology Study Program DKI Jakarta Indonesia

Retail Sukuk is a product of State Sharia Securities (Sukuk) issued by the Government of the Republic of Indonesia in this case the Ministry of Finance and sold to individuals or individuals of Indonesian Citizens through Selling Agents in the domestic Primary Market. This research contributes to the government and the Bank to be able to do the maximum promotion for the next sukuk issuance. The data used is data from the Ministry of Finance. These data are sukuk sales data with series 002-010 based on regional groups. The algorithm used in this study is Artificial Neural Network with Backpropogation method. Variabel masukan yang digunakan adalah kelompok wilayah bagian barat selain Jakarta (X1), kelompok Jakarta (X2), kelompok Indonesia Bagian Tengah(X3), dan kelompok Indonesia Bagian Timur (X4) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 4-2-1, 4-3-1, 4-2-3-1 dan 4-3-2-1. The best architectural model is 4-3-1 with epoch 266, MSE 0.009918 and 100% accuracy rate. From this model, predictions of retail country sukuk will be made by region.

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Understanding group signature methods in making digital signatures to maintain the validity of messages

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Journal of Physics: Conference Series 2019年第1期1230卷

作者： Saut Dohot Siregar Jepri Banjarnahor N P Dharshinni Saut Parsaoran Tamba Robin Faculty of Technology and Computer Science Universitas Prima Indonesia Indonesia Informatics Management Study Program STMIK Mikroskil

In this millennial era, a large amount of digital data traffic going through communication media on digital technology every day. Most of the data are documents and other essential information. The existing rapid development of technology nowadays, information can be easily faked. To make sure the validity of a digital document, a digital signature is required to verify the originality of the document. The purpose of this research is to design software which implemented the group signature algorithm to apply and verify digital signatures. The Signature Group algorithm used in this research is the Tseng-Jan scheme. The Tseng-Jan scheme consists of 5 stages: setup, join, sign, verify, and open. After applying the algorithm using 2 digits key and 3 digits key on the samples, 80% of the verification experiment on 2 digits key was succeeded 70% of the verification experiment on 3 digits key was succeeded.

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The Concept and Implementation of Smart Room using Internet of things (IoT) for Cost Efficiency and Room Security

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Journal of Physics: Conference Series 2019年第1期1381卷

作者： R Y Endra A Cucus F N Affandi Informatics Study Program-Faculty of Computer Science Universitas Bandar Lampung (UBL) Jl. Zainal Abidin Pagar Alam no 26 Bandar Lampung Informatics Study Program-School of information and computer management Bandar Lampung

The Internet of Things (IoT) is a concept where internet connectivity can exchange information with each other with objects around it. The essence of IoT is interconnected devices that produce and exchange observation data, facts, and other data, so that it is available to anyone. In this paper we present how the smart room model is designed using sensors and micro-controllers to automate the use of electronic devices and the security of a room using the concept of the Internet of Things. Implementation of the smart room concept from the results of this study, we hope that the concept in this smart room can be implemented and the automation process in this smart room can have a major impact on the efficiency of operational costs, especially electricity payments and improve home security because there is automatic control.

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Implementation of Data Mining in Grouping Percentage of Blind Letters Age 15+ By Province Using K-Means Algorithm

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Journal of Physics: Conference Series 2020年第1期1641卷

作者： Saifullah Nani Hidayati Solikhun STIKOM Tunas Bangsa Information Systems Study Program Pematangsiantar North Sumatra Indonesia. AMIK Tunas Bangsa Pematangsiantar Informatics Management Study Program North Sumatra Indonesia

Data Mining is a method that is often needed in large-scale data processing, so data mining has important access to the fields of life including industry, finance, weather, science and technology. In data mining techniques there are methods that can be used, namely classification, clustering, regression, variable selection, and market basket analysis. Illiteracy is one of the factors that hinder the quality of human resources. One of the fundamental things that must be fulfilled to improve the quality of human resources is the eradication of illiteracy among the community. The purpose of this research is to determine the clustering of illiterate communities. The results of the study are illiterate data clustering according to the age proportion of 15+, namely 1 node of the high group, the low group has 23 nodes, and the medium group of 10 nodes. The results of this study become input for the government to determine illiteracy eradication policies in Indonesia based on provinces

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Implementation of preference ranking organization method for enrichment evaluation (Promethee) on selection system of student's achievement

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IOP Conference Series: Materials Science and Engineering 2018年第1期332卷

作者： L Karlitasari D Suhartini L Nurrosikawati Computer Science Study Program Pakuan University Bogor Indonesia D3 Program of Management Informatics Pakuan University Bogor Indonesia

Selection of Student Achievement is conducted every year, starting from the level of study program, Faculty, to University, which then rank one will be sent to Kopertis level. The criteria made for the selection are Academic and Rich Scientific, Organizational, Personality, and English. In order for the selection of Student Achievement is Objective, then in addition to the presence of the jury is expected to use methods that support the decision to be more optimal in determining the Student Achievement. One method used is the Promethee Method. Preference Ranking Organization Method for Enrichment Evaluation (Promethee) is a method of ranking in Multi Criteria Decision Making (MCDM). PROMETHEE has the advantage that there is a preference type against the criteria that can take into account alternatives with other alternatives on the same criteria. The conjecture of alternate dominance over a criterion used in PROMETHEE is the use of values in the relationships between alternative ranking values. Based on the calculation result, from 7 applicants between Manual and Promethee Matrices, rank 1, 2, and 3, did not change, only 4 to 7 positions were changed. However, after the sensitivity test, almost all criteria experience a high level of sensitivity. Although it does not affect the students who will be sent to the next level, but can bring psychological impact on prospective student's achievement

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Application of the local antimagic total labeling of graphs to optimise scheduling system for an expatriate assignment

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Journal of Physics: Conference Series 2020年第1期1538卷

作者： W Utami K Wijaya Slamin Department of Management Universitas Jember Indonesia Department of Mathematics Universitas Jember Indonesia Study Program of Informatics Universitas Jember Indonesia

An expatriate assignment at the branch company in other country must be optimised due to the short term duty. Accuracy calculation is needed to optimise the expatriate assignment including its scheduling system. There are many ways and methods to optimise the scheduling system. One of the methods is making use of graph theory instruments such as local antimagic total labeling. The local antimagic total labeling of a graph is a map from the set of vertices and edges of the graph to the set of positive integers from 1 to the number of vertices and edges such that the weight of two adjacent vertices are different. The vertex weight is calculated by adding the labels of the vertex and all edges incident to it. In this paper, this labeling is applied to optimise the scheduling system for the expatriate assignment. This system can be modelled by a graph where the assignments are represented by vertices and connection between the assignments are represented by edges. The represented graph is then labelled by the local antimagic total labeling in order to obtain the minimum number of different vertex weights. The such number is equivalent to the optimal time allocated for the expatriate assignment.

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E-tourism application development to support integrated and disaster-safe tourism villages in Kerambitan District, Tabanan

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AIP Conference Proceedings 2024年第1期2961卷

作者： I. GD Yudha Partama I. Dewa Gede Agung Pandawana Dewa Gede Agung Gana Kumara Regional Planning and Environmental Management Study Program Universitas Mahasaraswati Denpasar Denpasar Indonesia Informatics Engineering Study Program Fcaulty of Engineering Universitas Mahasaraswati Denpasar Denpasar Indonesia English Language Education Study Program Faculty of Teacher Training and Education Universitas Mahasaraswati Denpasar Denpasar Indonesia

Kerambitan District is one of the pioneers of tourism that has contributed to raising the name of Bali in the international community. However, so far the planning and implementation of tourism activities have not accommodated the integrated tourism aspects and disaster-safe tourism services. In fact, most tourist destinations in Kerambitan are dominated by natural tourism with hilly contours, which are included in areas prone to extreme weather disasters and areas prone to flooding and landslides during high-intensity rainfall. This study aims to build an early warning system based on digital application, to help create a disaster-safe tourist village. The Waterfall Method is used in development process. This application is Android-based, and integrating the Google Firebase Cloud Messaging feature for sending messages and notifications to various Android devices. The results of this study are an SIGADis E-tourism application, which in addition to display and promote tourist location information in Kerambitan, also has safe and disaster-responsive features including the early warning system feature through messages and notifications, information list of disasters that have occurred, disaster’s distribution map and the weather information each tourist location that combined with Balinese lunar calendar (Sasih). Based on the application testing results using BlackBox Testing and Beta Testing methods, the application has been running according to the desired function, able to provide information about tourism village in Kerambitam, also provide disaster messages and notifications to various android devices, and able to display disaster distribution maps and suggestions related to the disasters when bad weather or events occur.

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