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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer
Rima Tamara Aldisa
Universitas Nasional, Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Implementasi Metode MAUT dengan Menerapkan Pembobotan ROC Dalam Pemilihan Ketua Himpunan Mahasiswa Jhiro Faran; Rima Tamara Aldisa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6471

Abstract

The election of the head of the student association is an important process in maintaining the sustainability and progress of the organization. However, determining the best association chairperson can be a complex and subjective task. Therefore, we need an effective decision support system to assist in the selection process. This study aims to develop a Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method with ROC weighting in selecting the best association chairman. The MAUT method is one of the methods used to overcome complexity in decision making by considering several relevant attributes. The results of this study are expected to provide objective recommendations in the process of selecting the best chairman of the association. The results of this study using the MAUT method are with a value of 0.775 as the highest alternative chosen as chairman of the association. By utilizing the MAUT method, this system can assist the relevant election committee in obtaining better and more informed decisions. This proposed decision support system can also be used as a guide for other schools facing similar challenges in selecting association leaders
Penerapan Metode MAUT Dalam Rekrutmen Kepala Gudang di Perusahaan Dengan Pembobotan ROC Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 2 (2023): Oktober 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i2.1323

Abstract

Recruitment is a process that must be passed by someone by following the stages determined by the company to fill the position that is being opened, namely the head of the warehouse. someone who is in charge of overseeing all work related to warehouses to fulfill the wishes or targets of a company and is able to control and ensure the availability of goods according to the market is called the head of the warehouse. The recruitment process to become the head of the warehouse is certainly not easy, usually the Human Resource Development (HRD) has set several requirements that have been received from the management. Because the many requirements to become a warehouse head can make candidates think and reconsider applying for the position of warehouse head, making it difficult for Human Resource Development (HRD) to find suitable candidates. In recruiting warehouse heads, an information system is needed that can make the screening process for warehouse head candidates more effective, namely using a decision support system (SPK) by applying the MAUT method with ROC weighting with the best alternative decision results, namely alternative A2 on behalf of "Dindin Samsudin" with a value of Ui = 0.761 which is accepted as the head of the warehouse.
Penerapan Metode MOORA dan MOOSRA dalam Penentuan Kelayakan Nasabah Penerima Kredit Mawan Br Hutahaean; Rima Tamara Aldisa; Sardima Siregar; Arina Mana Sikana; Mesran
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1434

Abstract

This study aims to determine the eligibility of customers receiving credit. The credit system is needed among the general public. For example for people who want to buy an item but are constrained by costs. So the existence of this credit system is very helpful to the community. However, in the process of granting credit to customers, many problems were found, including problems with customers who later defaulted on credit payments (loans that were not repaid). Therefore Based on this problem, we need a decision support system that helps identify the wrong recipient. The method used in this study is the MOORA method and the MOOSRA method, which is a method for determining priorities for credit recipients, which later by processing the MOORA and MOOSRA methods can help solve problems that occur. A decision support system is a computer-based system composed of interacting components: a language system component, a knowledge system component, and a problem solving system component, and uses data and decision-making models to create a semi-structured It solves structured problems and semi-structured problems and help in decision making. Based on the research that has been done by testing the MOORA and MOOSRA methods, the highest ranking results are those who are entitled to receive credit, namely Alternative 2 named Mujiani with a result of 0.4591 using the MOORA method and similarly using the MOOSRA method, which is the highest ranking also obtained by alternative 2 with a result of 33.2729
Sistem Pendukung Keputusan untuk Penentuan Jurusan dengan Metode Simple Additive Weighting (SAW) dan Pembobotan ROC Jhiro Faran; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1541

Abstract

When someone chooses a major, they will focus on a particular area of study throughout their learning period. Usually, each department has a curriculum that has been specially prepared to provide in-depth understanding, specific skills and knowledge in that discipline. Decisions in choosing a major are often based on personal interests, talents, environmental influences, including parental views and personal career goals. Some courses may have specific entry requirements or may involve developing specific skills over the course of your studies. Apart from that, choosing a major can also influence the direction and career you will follow after graduating. Therefore, it is very important to make careful decisions and obtain the views of educational advisors or career counselors according to personal educational and career goals. This research discusses studies at a high school, where there are only two major choices, namely science and social studies. In the process of selecting majors, schools use special selection methods other than the general test route. The problem that arises is the need for flexibility and accuracy in decision making. To overcome this problem, researchers used a decision support system method by combining the ROC and SAW methods. ROC is used to calculate criteria weights, while SAW is used to assess preferences. The results of applying these two methods show that the initial major choices made by students are often different from the majors determined using these two methods. A total of five students were assigned to major in science, including alternatives A2, A3, A7, A8 and A10, while five other students were assigned to major in social sciences, namely alternatives A1, A4, A5, A6 and A9.
Kombinasi Metode Operational Competitiveness Rating Analysis (OCRA) dan Rank Order Centroid (ROC) Dalam Pemilihan Studio Photo Terbaik Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 2 (2023): RESOLUSI November 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i1.1439

Abstract

There are many businesses in the field of photography services that are in demand among the public, resulting in many requests from people who want to document certain memorable moments. Seeing the large number of people who want to immortalize every moment, this creates many opportunities for people who have expertise in this field and want to do business in this field and open new photo studios. Each photo studio has its own way of attracting people's attention, many photo studios also have different promotions in offering their services, both in terms of price and quality provided, which makes people confused in choosing a photo studio. In this research, we will utilize a Decision Support System (SPK) which is an alternative in determining the best photo studio. In determining the best photo studio, you must determine several necessary criteria such as service, facilities, price, customer satisfaction and quality. Therefore, we need a Decision Support System that uses the ROC (Rank Order Centroid) method and the OCRA (Operational Competitiveness Rating Analysis) method to overcome existing problems. So that you get a weight value and you will also get the highest preference value from several choices. So we get the best alternative A8, namely Key Photography with a preference value of 0.495.
Sistem Pendukung Keputusan Dengan Menerapkan Metode Multi-Attribute Utility Theory Pada Pemilihan Content Writer Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.2877

Abstract

Content Writer is an important profession in the process of creating interesting content. The definition of Content Writer is a professional writer whose job is to write concepts of interesting content which will eventually be produced in online media. The income that is large enough for this profession results in many people being interested in working in that field. Therefore it will be difficult for those who open jobs in the field of Content Writers to choose who should be chosen. To select Content Writer candidates, it is better to use a system so that with this system it can help interested parties so that the results of the selection are not subjective or impartial. A good system to use is a decision support system. decision support system (DSS) is the development of an information system using the same way of working as an information system, namely a computer-based system. This SPK can be used in conjunction with supporting methods such as the MOORA method, the PSI method and so on. In this study the method used is the DEATH method. The MAUT method or the Multi-Attribute Utility Theory (MAUT) method is a method that prioritizes quality as a comparison so that the quality of each criterion will be considered as the first choice. Based on the calculation results from the MAUT method, a result of 0.6701 is obtained with the alternative A3 On behalf of Aldi as the best alternative that deserves to be accepted as a content writer.
Perbandingan Metode Fuzzy Tsukamoto dengan Fuzzy Mamdani Untuk Mendeteksi Tingkat Kecanduan Media Sosial Pada Remaja Ariel Cahyono; Agung Triayudi; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3069

Abstract

The level of social media use in Indonesia has increased every year. This is caused by several factors, one of which is the tendency to play social media so that you forget the time to do other activities such as studying. A system is needed that is able to detect whether someone is addicted to social media or not. The Tsukamoto fuzzy method is a method that can solve a problem by using a system on a computer in search of a truth and usually requires some expertise. While the fuzzy mamdani method has a function in finding a solution in solving the problem of social media addiction in today's youth. This comparison is done by the author to find the best answer from one of the methods used. This research was created in order to be able to detect the level of social media addiction in adolescents in the form of a web to inform adolescents to avoid the negative symptoms of social media addiction such as timelessness, lazy learning and being unable to stop oneself from controlling social media use. Then after testing with 25 adolescent data, the results obtained were 10 adolescents experiencing social media addiction problems and 15 adolescents not. It can be seen that the Tsukamoto method has a very addictive score of 0 to 20 for 10 teenagers and 15 teenagers with a non-addiction score of 80 to 100. Meanwhile, it is known that the Mamdani method has a very addictive score of 0 to 10 for 10 teenagers and 15 teenagers with a non-addicted score of 40 to 50.
Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit PES Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3139

Abstract

Plague is the oldest plague known to mankind and will continue to plague the world. Black Death is an infectious disease caused by the bite of Yersinia pestis, which breeds on rats. Human-to-human transmission occurs through droplets containing bubonic plague. Expert systems are a branch of artificial intelligence and a branch of knowledge that emerged with the development of computer science today. In this study, the expert system was implemented as a system for information or output to pursue certainty in diagnosing the type of bubonic plague felt by the patient based on the symptoms felt by the patient. Its use on the user's system must be combined with methods so that it runs correctly and optimally. In this study, the authors used the certainty factor (CF) method. CF is the internalization of uncertainty in professional thinking proposed by Shortliffe and Buchanan in 1975. Based on the results of the computational process using the CF method, information is generated that the patient suffers from multiple symptoms of bubonic plague, and the patient is diagnosed with pneumonic plague (P3) with an expression confidence level of 0.993 or 9.93%.
Sistem Pendukung Keputusan Dalam Pemilihan Perawat Terbaik Menerapkan Metode SAW dengan Pembobotan ROC Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3489

Abstract

Activities carried out in the hospital never stop day or night. These activities continue because patients who are sick do not know the term time. Patients will always be there and need help from the hospital both day and night. Therefore, many nurses or nuns are needed to handle complaints from patients every time. A nurse or nurse is someone who has a duty, namely to provide care or care for each individual who is sick. This fact made many people interested in becoming nuns. This resulted in many university graduates graduating with that major. so many apply to become nurses on duty at the hospital. The large number of candidates who applied made it difficult for the hospital to select suitable candidates. Selection that is done manually will take quite a long time and the results of the election are not objective. The solution that can be done to solve these problems is to use a decision support system. Based on the results of this study, information was obtained that a decision support system using the SAW method can solve problems regarding decision making in selecting the best nurse. The result is to produce a value of 0.8160 as an alternative to A4 on behalf of Ratih Setyowati as the best alternative
Sistem Pendukung Keputusan Rekomendasi Aplikasi Pembuat Kuis Edukasi Untuk Pembelajaran Menerapkan Metode OCRA dan Pembobotan ROC Jhiro Faran; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.4045

Abstract

Education quizzes are a form of interactive test or game designed to support the learning process in a fun and interactive way. Despite the availability of many applications for creating educational quizzes, users often face difficulties in selecting the ones that suit their learning needs and objectives. Therefore, this research suggests the use of a Decision Support System by implementing the OCRA and Weighted Rank Order Centroid (ROC) methods to recommend educational quiz maker applications. The ROC method is utilized to determine the weights or relative values of predefined criteria, thus facilitating the ranking process based on the importance of each criterion. Furthermore, the OCRA method is employed to analyze the operational competitiveness level of various alternative educational quiz maker applications. The research findings indicate that out of the 5 evaluated alternatives, ProProfs Quiz Maker scored the highest with a value of 1.515, making it the top choice for online learning media. Thus, the Decision Support System based on OCRA and ROC provides accurate recommendations for selecting educational quiz maker applications that align with learning needs and objectives.
Co-Authors Ade Priyatna Afid Rozaqi Afif Arofi Agung Triayudi Ahmad Ilham Kushartanto Ahmad Rifqi Akbar Mulia Ardiansyah Andilaw Andilaw Ariel Cahyono Arina Mana Sikana Azizah Azizah Deby Monalisa Simanjuntak Desty Rahma Fadilla Erwin Samudra Fatiyah Saidah Fauziah Fauziah Fifto Nugroho Fikri Fajar Asshiddiqi Iskandar Fitri Jhiro Faran Kasta Yudha Siahaan Kelik Sussolaikah Mawan Br Hutahaean Mesran, Mesran Mohammad Aldinugroho Abdullah Mohammad Aldinugroho Abdullah Mohammad Aldinugroho Abdullah Mohammad Aldinugroho Abdullah Muhammad Faizal Muhammad Furqon Sjofjan Muhammad Naufal Rifqi Nabila Tiara Nuraini Pandu Maulana Puspa Ayu Sholeha Puspa Ayu Soleha Putra Dama Ramadhan Rifando Adeyansa Purba Rossa Sahara Sanwani Sanwani Sardima Siregar Sarpita Laia Sechan Alfarisi Septi Andryana Susi Agustini Sinaga Tiyas Asih Qurnia Putri Triyono, Gandung