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Journal : RISTEC : Research in Information Systems and Technology

DECISION SUPPORT SYSTEM DETERMINING RECIPIENTS OF THE PEOPLE'S HOUSING ASSISTANCE PROGRAM USING THE ELIMINATION AND CHOICE TRANSLATION REALITY METHOD (ELECTRE) Lipandi Herdian Mulyana; Mochzen Gito Resmi; Imam Ma’ruf Nugroho
RISTEC : Research in Information Systems and Technology Vol 3, No 2 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.643 KB) | DOI: 10.31980/ristec.v3i2.2745

Abstract

In this era, the need for technology is indispensable in various fields of need, inseparable from the economic field in the field of community welfare, one of which is work programs to facilitate achieving goals, one of which is the work carried out by the Ministry of PUPR, namely the program for flats, special houses, and stimulant assistance for self-help housing.based on pre-determined criteria. Electre is one of the methods used to rank and determine the best alternative. The basic concept of the electre method is to deal with outranking relationships by using pairwise comparisons between alternatives under each criterion separately. Which produces a computerized system that can automatically determine people who are eligible to receive public housing assistance, based on the criteria values entered. This decision support system is designed using the PHP programming language
Decision Support System Determination Of Contractemployees To Be Permanent Employees Using The Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) Method Mochzen Gito
RISTEC : Research in Information Systems and Technology Vol 1, No 2 (2020): Vol 1 no 2 : RISTEC : Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.397 KB) | DOI: 10.31980/ristec.v1i2.1200

Abstract

PT. Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. This company also operates in the manufacture of refractory cement which is made for the repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals. In this company there are contract employees and permanent employees, contract employees are employees or workers whose tenure is limited by a certain time. according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. The purpose of this research is how to design and build a decision support system that can assist in determining contract employees to become permanent employees. This study uses the Technique For Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be surveyed first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance.PT. Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. This company also operates in the manufacture of refractory cement which is made for the repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals. In this company there are contract employees and permanent employees, contract employees are employees or workers whose tenure is limited by a certain time. according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. The purpose of this research is how to design and build a decision support system that can assist in determining contract employees to become permanent employees. This study uses the Technique For Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be surveyed first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance.
Twitter User Sentiment Analysis Of TIX ID Applications Using Support Vector Machine Algorithm Asyfah Nabillah; Syariful Alam; Mochzen Gito Resmi
RISTEC : Research in Information Systems and Technology Vol 3, No 1 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.555 KB) | DOI: 10.31980/ristec.v3i1.1898

Abstract

The cinema is a place to watch movies using the big screen. Various comments on the TIX ID application service can be used to reference the company's evaluation material in assessing the level of service quality that has been provided, so that later the TIX ID application can be used optimally by application users and the company, as for the purpose of this study to find out responses and find out the sentiment analysis stage on twitter social media using the vector machine support algorithm for the TIX ID application. This algorithm is commonly used for text mining by going through the data collection stage, cleaning and labelling data stage, training and testing data sharing stage with 3 comparison scenarios, namely 70:30, 80:20, and 90:10  using 3 kernels, namely dot, radial, and polynomial, then through the text preprocessing stage, the TF-IDF word weighting stage, the data modeling stage, and the evaluation stage. The preprocessing stage consists of transform case, tokenize, and stopwords filters.  The result of this study is that the support vector machine algorithm has an accuracy value of 74.17%. The research concludes that the support vector machine algorithm with a ratio of 80:20 training and testing data ratio scenario produces the highest accuracy.
DECISION SUPPORT SYSTEM FOR SELECTION OF HOME OWNERSHIP LOANS (KPR) USING THE SMART METHOD Candra Dewi Lestari; Mochzen Gito Resmi; Yudhi Raymond Ramadhan
RISTEC : Research in Information Systems and Technology Vol 3, No 2 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v3i2.2746

Abstract

The bank is a financial institution that has many activities, one of which is to serve housing loan (KPR) activities. As the human population increases, primary needs such as housing also increase. The existence of a Developer who will provide Home Ownership Loans is also needed for prospective buyers. With various offers, potential home buyers are difficult to make a decision. Therefore the authors through the Decision Support System (SPK) and the design of the Home Ownership Loan system provide a solution for prospective buyers in choosing the best mortgage with a Decision Support System using the SMART method. The SMART method is a multi-criteria decision-making technique based on the theory that each alternative consists of a number of criteria that have values and each criterion has a weight that describes how important it is compared to other criteria
Implementation of the Multy Attribte Utily Theory Method in the Decision Support System for Determining Smart Indonesia Program Assistance (PIP) at SDN 4 Cisalada Fitry Nur Yani; Mochzen Gito Resmi; Syariful Alam
RISTEC : Research in Information Systems and Technology Vol 3, No 1 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.842 KB) | DOI: 10.31980/ristec.v3i1.1901

Abstract

The Smart Indonesia Program (PIP) is one of the government's programs as Poor Student Assistance (BSM). The government program is in the form of cash assistance given to children aged 6-21 years who are still in the world of education. Currently, pip selection at SDN 4 Cisalada from the school is less targeted to have problems in determining potential beneficiaries of assistance where not all students who come from poor families can receive the Smart Indonesia Program (PIP). for this resulting in the injustice of students who should be entitled to PIP funding assistance. To avoid existing problems for the selection of prospective recipients of the Smart Indonesia Program (PIP) requires a Decision Support System (SPK). The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method that usually combines measurements of different risk and profit costs. Design and Build using the Waterfall method in the process of working on it, the design is made using a flowmap and modeling using Unified Model Language (UML) including Use Case Diagrams, Activity Diagrams, Sequence Diagrams and Class Diagrams. As for programming, it uses PHP and the database uses MySQL. The results of the research that has been carried out by the researcher, it can be concluded by the application of the Decision Support System in determining the determination of PIP assistance in schools using the Multy Attribute Utility Theory (MAUT) method, for the school can be more objective in assessing the determination of PIP recipients, so as to minimize the risk of misuse and distribution of PIP funds to students not appropriately receiving them. Which is in the nature of providing recommendations for decisions to the school.
Lecturer Performance Evaluation System Using Simple Multi Attribute Rating Technique (SMART) Method in STT Wastukancana Purwakarta Gito Resmi, Mochzen; Defriani, Meriska; Sri Andar Muni, Lise; Kaniawulan, Ismi; Hasanah, Nurul
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

The use of a decision support system (DSS) can help someone in making accurate and targeted decisions. Many problems can be solved by using this decision support system, one of which is to assess the performance of lecturers. In determining the assessment of lecturer performance, there are several criteria that must be possessed by each individual to be used as an assessment of lecturer perfomace. The method that can be used for this decision support system is the Simple Multi-Attribute Ratting Technique (SMART) method. This study aims to provide an ssessment of the performance of lecturers at STT Wastukancana to improve the quality of internal and external services.
Twitter User Sentiment Analysis Of TIX ID Applications Using Support Vector Machine Algorithm Nabillah, Asyfah; Alam, Syariful; Gito Resmi, Mochzen
RISTEC : Research in Information Systems and Technology Vol. 3 No. 1 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

The cinema is a place to watch movies using the big screen. Various comments on the TIX ID application service can be used to reference the company's evaluation material in assessing the level of service quality that has been provided, so that later the TIX ID application can be used optimally by application users and the company, as for the purpose of this study to find out responses and find out the sentiment analysis stage on twitter social media using the vector machine support algorithm for the TIX ID application. This algorithm is commonly used for text mining by going through the data collection stage, cleaning and labelling data stage, training and testing data sharing stage with 3 comparison scenarios, namely 70:30, 80:20, and 90:10 using 3 kernels, namely dot, radial, and polynomial, then through the text preprocessing stage, the TF-IDF word weighting stage, the data modeling stage, and the evaluation stage. The preprocessing stage consists of transform case, tokenize, and stopwords filters. The result of this study is that the support vector machine algorithm has an accuracy value of 74.17%. The research concludes that the support vector machine algorithm with a ratio of 80:20 training and testing data ratio scenario produces the highest accuracy.
Implementation of the Multy Attribte Utily Theory Method in the Decision Support System for Determining Smart Indonesia Program Assistance (PIP) at SDN 4 Cisalada Nur Yani, Fitry; Gito Resmi, Mochzen; Alam, Syariful
RISTEC : Research in Information Systems and Technology Vol. 3 No. 1 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

The Smart Indonesia Program (PIP) is one of the government's programs as Poor Student Assistance (BSM). The government program is in the form of cash assistance given to children aged 6-21 years who are still in the world of education. Currently, pip selection at SDN 4 Cisalada from the school is less targeted to have problems in determining potential beneficiaries of assistance where not all students who come from poor families can receive the Smart Indonesia Program (PIP). for this resulting in the injustice of students who should be entitled to PIP funding assistance. To avoid existing problems for the selection of prospective recipients of the Smart Indonesia Program (PIP) requires a Decision Support System (SPK). The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method that usually combines measurements of different risk and profit costs. Design and Build using the Waterfall method in the process of working on it, the design is made using a flowmap and modeling using Unified Model Language (UML) including Use Case Diagrams, Activity Diagrams, Sequence Diagrams and Class Diagrams. As for programming, it uses PHP and the database uses MySQL. The results of the research that has been carried out by the researcher, it can be concluded by the application of the Decision Support System in determining the determination of PIP assistance in schools using the Multy Attribute Utility Theory (MAUT) method, for the school can be more objective in assessing the determination of PIP recipients, so as to minimize the risk of misuse and distribution of PIP funds to students not appropriately receiving them. Which is in the nature of providing recommendations for decisions to the school.
System Usability Sclae Aplikasi Kitabisa Dengan Evaluasi Metode Design Thinking Chandra Irawan , Dionisius; Gito Resmi, Mochzen; Muhammad Husni Tamyiz, Uus
RISTEC : Research in Information Systems and Technology Vol. 3 No. 1 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

In the rapid development of technology, many people, especially in Indonesia, many things change when technology is increasingly updated and makes users feel comfortable. People use Kitabisa to donate or raise funds for various purposes. Some focus on medical purposes, but actually there are many other categories. SUS testing is efficient and the data produced is reliable. Redesign means updating an item that already exists but is less efficient to use. Design Thinking is the collection of human needs that allow them to be fulfilled technologically and efficiently. The SUS test got a result of 59.6 with the Redesign stage then carried out with the intent and purpose of overcoming the problems that occur at this time. then the Kitabisa application gets an increase in value from the previous 59.6 to 73 then the results of thistest have increased so that it can be said to be getting better than before.
DECISION SUPPORT SYSTEM DETERMINING RECIPIENTS OF THE PEOPLE'S HOUSING ASSISTANCE PROGRAM USING THE ELIMINATION AND CHOICE TRANSLATION REALITY METHOD (ELECTRE) Herdian Mulyana, Iipandi; Gito Resmi, Mochzen; Ma’ruf Nugroho, Imam
RISTEC : Research in Information Systems and Technology Vol. 3 No. 2 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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

Abstract

In this era , the need for technology is indispensable in various fields of need, insepa rable from the economic field in the field of community welfa re, one of which is work programs to facilitate achieving goals, one of which is the work carried out by the Ministry of PUPR, namely the program for fla ts, specia l houses, and stimula nt assistance for self -help housing. based on pre-determined criteria. Electre is one of the methods used to rank and determine the best alternative. The basic concept of the electre method is to deal with outranking relationships by using pairwise comparisons between alternatives under each criterion separately. Which produces a computerized system that can automatically determine people who a re eligible to receive public housing assistance, based on the criteria va lues entered. This decision supportsystem is designed usingthe PHP programminglanguage.→Abstract