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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 INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE)
Rima Tamara Aldisa
Universitas Nasional, Jakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Sistem Pendukung Keputusan Perbandingan Metode MOORA Dengan MOOSRA Dalam Pemilihan Hair Stylish Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6824

Abstract

This study aims to compare the effectiveness of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) and MOOSRA (Multi-objective Optimization on the Basis of Simple Ratio Analysis) methods in the context of selecting stylish hair at the barbershop. In the growing hair care industry, the selection of stylish hair does not only affect the appearance of the customer but also plays an important role in the image and success of the barbershop itself. Therefore, it is important for barbershop owners to choose the right stylish hair. The MOORA method is known for its ability to solve multi-objective decision-making problems by utilizing ratio analysis. Meanwhile, MOOSRA is another method that focuses on optimization by considering relative preferences. In the context of selecting stylish hair, both can be useful tools in guiding barbershop owners to choose stylish hair according to customer needs and preferences. This research involves collecting data regarding customer preferences and hair stylish characteristics from various barbershops. This data was then analyzed using the MOORA and MOOSRA methods to choose the most suitable hair style for each scenario. The results of the analysis will be compared to assess the relative performance of the two methods in this context. It is hoped that the results of this research will provide valuable insights for barbershop owners and the hair care industry in general. By understanding the advantages and limitations of each method, barbershop owners will be able to make more informed decisions in selecting stylish hair. In addition, this research can also contribute to the development of a methodology in more complex multi-objective decision-making, by providing concrete examples in practical applications. The final results of the calculations of the two methods are proven to produce the same highest ranking result, which is obtained by alternative 1 on behalf of Poppy Sukma.
Sistem Pendukung Keputusan Penerimaan Dosen Tetap Menggunakan Metode MOORA dan MOSRA Mesran Mesran; Rima Tamara Aldisa; Wanda Tofani Devi Rangkuti; Cindy Nanda Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7140

Abstract

Lecturers are the forerunners and places to gain knowledge for the nation's children, good lecturers will produce good students too, and good students will become successors to the progress of the nation to be even better, the large number of lecturers at Budi Darma University results in a density of lecturers, it is important to do acceptance of permanent lecturers to provide rewards to lecturers who have worked diligently and earnestly, each lecturer has their own quality but permanent lecturers are lecturers who have a safer position and are trusted by the campus, the importance of selecting permanent lecturers using a system decision support to prevent fraud in the election process. In this study, the MOORA (Multi-Objective Optimization on the Basis Of Ratio Analysis) and MOOSRA (Multi-objective Optimization on the basis of Simple Ratio Analysis) methods are used to assist the selection process in a logical, systemic manner and can produce a decision value on the ranking value. which are different from each formula or algorithm, but these values are equally real and fair without any cheating. In this study the authors also used the ROC (Rank Order Centroid) value to obtain an effective and correct weighting value to perform calculations on the criteria values that had been set by the campus or college of the Budi Darma Medan University. The results in this study based on the calculation of the MOORA method, the highest result was achieved by A1, which is worth 0.4742 and in the MOOSRA method, the highest alternative result was achieved by A1, which is worth 28.1366.
Penerapan Data Mining Untuk Clustering Kualitas Udara Ahmad Rifqi; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7145

Abstract

Human health at this time is the key to the continuity of life. Human health is very necessary in the process of development of human life. Environmental health is related to the circumstances or conditions that exist in the surrounding area where you live, whether in a small environment or a large environment. Air quality is the condition of the surrounding air. Air quality is very important for human life because air is what helps humans to live by breathing. With the availability of good air quality, it will certainly be an important factor for an area, not only for health but also for other sectors that interact directly in open areas. The important role of air quality for humans means that more attention needs to be paid and special treatment is given to areas exposed to bad air. The above is a very important problem that must be resolved immediately, if the problem is not resolved immediately it will have an impact on health. The process of solving problems requires a way to resolve them. Where the process of measuring air quality can be seen based on certain conditions or criteria that occur in an area. Data mining is a method used to carry out the problem solving process by processing data. In the process carried out in data mining, there are various ways of solving it. One thing that can be used is clustering. In clustering itself there are various kinds of algorithms such as DBSCAN, K-Means and K-Medoids. In this research, the solution process will use the three algorithms K-Means, K-Medoids and DBSCAN. The purpose of using these three algorithms is to compare the results obtained. In the process carried out in completing data mining, clustering techniques are used using 3 (three) algorithms, namely K-Means, K-Medoids and DBSCAN. The results obtained were that the K-Means algorithm had the highest accuracy value obtained at K=4 with a value of 0.843, for the K-Medoids algorithm the highest value was obtained at K=5 with a value of 0.896 and for the DBSCAN algorithm the highest value was obtained at K=2 with a value of 0.885.
WEBSITE APPLICATION CREATION FOR E-JOURNAL Anggi Annur Septia; Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 12 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

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

Abstract

This research aims to develop a website application which aims to facilitate the management and distribution of electronic journals (e-journals) efficiently. The development methods used are user needs analysis, system design, implementation and evaluation. This application is designed to provide an easy-to- use platform for journal managers to upload, manage and publish articles online. Apart from that, this application is also equipped with a search feature that makes it easier for readers to find articles that are relevant to the topic of interest. Evaluation is carried out through functionality testing and user satisfaction to ensure the performance and usability of this application. The research results show that this application can increase efficiency in managing and distributing electronic journals and provide a satisfactory user experience.
DEVELOPMENT OF E-COMMERCE IN BUSINESS TRANSFORMATION IN THE DIGITAL ERA Iqbal Arif Budiman; Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 1 No. 8 (2024): INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE)
Publisher : Adisam Publisher

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Abstract

In the digital era, business transformation is unavoidable, especially with the emergence of e-commerce which has revolutionized the way companies operate and interact with consumers. This research aims to dig deeper into the development of e-commerce and its impact on the transformation of traditional businesses into digital. Through qualitative and quantitative approaches, this research collects data from various companies that have integrated e-commerce into their business operations, as well as consumers who are affected by this change. The research results show that e-commerce not only allows companies to reach a wider market and increase sales, but also drives innovation in marketing strategies, operational models and customer service. Furthermore, this research identifies the challenges companies face in the transition to digital, such as data security issues, increasing competition, and the need for rapid technological adaptation. The conclusions of this research suggest that to survive and thrive in the digital era, companies must implement effective e-commerce strategies, utilize the latest technology, and continue to innovate to meet consumers changing needs and expectations.
Co-Authors Ade Priyatna Afid Rozaqi Afif Arofi Agung Triayudi Ahmad Ilham Kushartanto Ahmad Rifqi Akbar Mulia Ardiansyah Andilaw Andilaw Anggi Annur Septia Ariel Cahyono Arina Mana Sikana Azizah Azizah Cindy Nanda Sari Deby Monalisa Simanjuntak Desty Rahma Fadilla Erwin Samudra Fatiyah Saidah Fauziah Fauziah Fifto Nugroho Fikri Fajar Asshiddiqi Iqbal Arif Budiman 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 Wanda Tofani Devi Rangkuti