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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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Analisis Perbandingan Metode MOORA dan MOOSRA dalam Seleksi Siswa Unggulan Desty Rahma Fadilla; 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.v4i4.4048

Abstract

Educational strategies in the current era really need to be developed so that the advantages that each student has can be made into superior achievements. The selection of superior student selection is very important in the education strategy with the aim of getting superior seeds that will be fostered so that they achieve even more and increase the motivation of each student. At present, most schools carry out the selection of superior students manually by taking the value of each student's report card. Selection with a large number of students sometimes makes it difficult for teachers or the school to choose who has the right to be a superior student. The results of the assessment or consideration of each teacher tend to be subjective. So that there are often misunderstandings in making the final decision in determining who is entitled to be a superior student. Therefore, a decision support system is needed that aims to make it easier to select superior students whose results will be effective. In solving the problem of selecting superior students, the author uses the MOORA method and the MOOSRA method. The results of the study prove that the comparison between the MOORA and MOOSRA methods has the same results, where the MOORA method has the highest yield in alternative 3 with a result of 0.2997 and in alternative 3 MOOSRA method with a result of 13.1548.
Data Mining Perbandingan Algoritma K-Nearest Neighbor dan Naïve Bayes dalam Prediksi Penerimaan Beasiswa Ahmad Ilham Kushartanto; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4566

Abstract

One of the goals of the Indonesian State as stated in the Constitution of the Republic of Indonesia is to make the nation's life more intelligent. The government, through the Ministry of Education, Culture, Research and Technology (Kemendikbudristek), is implementing a 12-year compulsory education program. The Indonesia Smart College Card program will start to be implemented in 2021, where initially this program was called bidikmisi. The Indonesia Smart College Card program is intended to help children who experience economic difficulties or are constrained by the costs of continuing their education at tertiary level. Beneficiaries of the Indonesian Smart College Card program will receive full tuition fees from the start of admission to completion of the course within the agreed time period. This aims to ensure that children who have been selected to become students no longer have to worry or feel afraid about their survival when studying. Placing limits on the number of recipients of the Indonesia Smart Tuition Card for Private Universities (PTS) is a problem that must be resolved properly and carefully. The selection process for prospective students who register at the target university aims to find recipients who are worthy of assistance from the Indonesia Smart College Card program. The selection process for prospective students who register at the target university aims to find recipients who are worthy of assistance from the Indonesia Smart College Card program. The results obtained from the application of the research were that from comparing the results of the K-NN and Naive Bayes algorithms, the same results were obtained for the test data, namely Acceptable.
Penerapan Big Data Analytic Terhadap Strategi Pemasaran Job Portal di Indonesia dengan Karakteristik Big Data 5V Rima Tamara Aldisa; Pandu Maulana; Mohammad Aldinugroho Abdullah
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 3 (2022): Maret 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3905

Abstract

The impact of the COVID-19 pandemic has paralyzed the business sector, resulting in changes in business activities in many companies today. Many companies are competing to digitize their business, PT XYZ is one of them. PT XYZ is a company engaged in outsourcing. Outsourcing companies are one of the many types of companies that have been heavily impacted during the COVID-19 pandemic. In order to restore its business, PT XYZ has an innovation in the form of a job portal. PT XYZ always strives to market its job market. This is the biggest challenge that PT XYZ has on its job portal. Therefore, it is necessary to apply big data to be utilized by PT XYZ. This study reviews the application of big data on the job portal of PT XYZ. The implementation of big data refers to the five characteristics of big data (5V), volume, variety, velocity, veracity, and value. The method used to obtain data in this study is through interviews and observation. The results of this study indicate that the five characteristics meet the criteria for the application of big data. This allows PT XYZ's job portal to apply big data analytics to its marketing strategy.
Perancangan Tempat Sampah Anorganik Secara Otomatis Menggunakan Sensor Ultrasonik dan Arduino Uno Rima Tamara Aldisa; Mohammad Aldinugroho Abdullah; Andilaw Andilaw
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 3 (2022): Maret 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3911

Abstract

Inorganic waste is waste that cannot be decomposed, in the laboratory a trash can has been provided, but there are still many laboratory users who still put, leave waste such as used paper and plastic bottles in any place. can help in facilitating laboratory users in disposing of waste only by using sensors, so a tool is designed that can be easily affordable and easy to use to prevent the amount of waste and piles of waste paper and plastic bottles. The author designed the Design of Automatic Inorganic Garbage Disposal Using Ultrasonic Sensors and Arduino Uno Case Study: Unas Artificial Intelligence Laboratory by using our hand proximity sensor the trash can opens automatically, we don't need to hold or touch the trash can, just use the proximity sensor, it opens automatically, and the trash can will close automatically if the proximity sensor moves away. So the author wants to design and make this tool that can be very helpful for use in the laboratory in order to minimize the amount of inorganic waste left behind.
Analisis Perbandingan Penerapan Metode MOORA dan SAW dalam Kelayakan Pemberian Bantuan Uang Kuliah Tunggal Rima Tamara Aldisa; Ade Priyatna; Fatiyah Saidah; Kasta Yudha Siahaan; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4281

Abstract

Single Tuition Fee (UKT) is a tuition payment rule that funds each student according to his economy, especially at PTN whose tuition fees are also determined from the student's economy. Students pay for the semester which is decided according to the single tuition fee minus the costs borne by the government, in other words each student only pays one component. At Budi Darma University, the payment of the Single Tuition Fee (UKT) has been determined by the campus by being able to pay in 6 installments per year in order to ease the payment of tuition fees to students. However, the number of students who meet the requirements in applying for UKT assistance makes it difficult for the campus in the selection process. Therefore, a decision support system is needed to solve a problem by applying the comparison of the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Simple Additive Weighting (SAW) by including weighting with the Rank Order Centroid (ROC) method to get accurate and effective results. From the test results, getting the best alternative that is considered worthy of single tuition assistance is in the same alternative, namely A7 on behalf of Zaza Mutiara Arini. Calculations using the MOORA method get the best preference value of 0.7391 while calculations using the SAW method get the best preference value of 0.8976.
Analisis Sentimen Vaksinasi Booster Berdasarkan Twitter Menggunakan Algoritma Naïve Bayes dan K-NN Afid Rozaqi; Agung Triayudi; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 1 (2022): September 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4907

Abstract

Covid-19 or the corona virus has spread throughout the world, one of which is Indonesia. There have been many problems due to this virus for 2 years in Indonesia, and various efforts and policies have been made by the government to control the impact that does not become worse by this corona virus, these efforts are vaccination actions against the Indonesian people, and in early 2022 the government started a new program, namely booster vaccination. Many people are pro and contra to the program on social media Twitter. This study was conducted with the aim of knowing the sentiment of Indonesians towards booster vaccination in Indonesia.The data obtained as many as 2000 tweets obtained from the keyword "booster vaccine" on Twitter. Then the data is divided into training data and test data (training) then made into three different portions, namely 60/40, 70/30, and 80/20. The test results are that the best performance is found in testing a portion of 80% of the training data 20% of the test data using the K-NN algorithm, the test produced the highest value results, namely 78.62% accuracy and AUC 0.845 and categorized as good classification. The results show that the K-NN algorithm model with an 80% portion of training data is the best in the classification of booster vaccination sentiment analysis. The sentiment results in the test data were positive with 303 tweet data and negative sentiment totaled 93 tweet data. The results of more positive sentiments show that booster vaccinations in Indonesia are acceptable and get a lot of support from the Indonesian people on social media Twitter.
Pembangunan Smart Detection Absensi Berbasis Kartu RFID dan ESP 32 Fikri Fajar Asshiddiqi; Agung Triayudi; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 1 (2022): September 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4912

Abstract

In today's era with the rapid development of technology and the development of semiconductor technology, it is possible to create integrated circuits on an increasingly large scale and can integrate many different systems. One of the benefits of current technological developments in the attendance recording tool, whose data is integrated into the learning information system to replace the manual recording model. This tool is designed by integrating the work of a radio frequency identification (RFID) microcontroller into one system. The extracted data as a unique number from the RFID tag is used as student data. After the card is attached to the assessment device, student data will automatically be entered into the attendance database. By making this tool, it can facilitate the work and activities of students and lecturers in conducting lecture activities and also as learning for all in this period of rapid technological development
Sistem Administrasi Pelayanan Rukun Tetangga Dengan Framework PIECES Untuk Kepuasan Pengguna Berbasis Android Rima Tamara Aldisa; Puspa Ayu Soleha
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 2 (2022): Desember 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i2.5288

Abstract

This research aims to build a pillar-saving administration system aimed at helping residents around the Jagakarsa area, South Jakarta. With this system, it can make it easier for residents to be more efficient by knowing how satisfied and comfortable residents are. This system was created using the PIECES Framework with measurements from 6 aspects, namely from the aspects of Performance, Information, Economics, Control, Efficiency, Service from the results of the Pieces Analysis showing that the measurement of the level of satisfaction of system users. This system is intended for residents who want to make monthly contribution payments, find out about the activities being carried out, provide criticism and suggestions, find out announcements, request letters if needed to analyze user satisfaction with deductions which results in an acquisition score of 3,610 which is the average and gets the final score which is satisfying. So it was concluded that users, namely citizens, can use the application that has been designed.
Data Mining Untuk Menerapkan Algoritma Hash Based Pada Penetapan Pola Tata Letak Penjualan Bakery and Cake Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5933

Abstract

Bakery and cake business is one of the businesses engaged in the culinary field. bakery and cake business has always been the center of attention for entrepreneurs because it will always have consumers or customers. Usually the bakery and cake business will be in demand when there are events such as birthdays, souvenirs and other events. Bakery and cake is a business that sells various cake or cake products. In determining the layout of each item can affect the efficiency of sales. Because consumers can easily find the items they need. In determining the layout of each item can be used data mining. Data mining is data mining which will eventually be used in digging up various information and producing information, data and knowledge by using pre-existing information. In this study the algorithm used is a hash based algorithm. Hash based algorithm is an algorithm that uses filtering techniques to produce a combination pattern in an itemset. Based on the research results, it was found that the main priority items were G = peanut butter, H = white bread L = srikaya jam with a support value of 25% and 60% confidence. So that peanut butter, srikaya jam and plain bread should coexist in order to increase sales efficiency at bakeries and cake.
Pemilihan Auditor Internal dalam Mengimplementasikan Pendekatan Metode Multi Attribute Utility Theory (MAUT) dan Menerapkan Pembobotan Rank Order Centroid (ROC) 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.v5i1.6795

Abstract

The Internal Auditor of a company is a professional responsible for evaluating, overseeing, and providing independent assessments of the effectiveness of internal controls, accounting systems, and business processes of a company. The primary task of the internal auditor is to assist the company's management in ensuring that its operations adhere to applicable standards, policies, and regulations. The presence of an internal auditor helps the company maintain integrity, accountability, and compliance with relevant standards and regulations. They provide an independent view of the company's performance and aid in enhancing operational efficiency and effectiveness. In the complex business world, selecting a candidate for the role of Internal Auditor poses a challenge. Diverse selection criteria, such as auditing skills, industry knowledge, and integrity, often prove difficult to objectively assess. Decision-making based solely on experience can lead to inconsistent outcomes. The importance of accuracy and objectivity in selecting an Internal Auditor demands a scientific approach. The Multi-Attribute Utility Theory (MAUT) analysis method is employed to address the complexity of criteria. Meanwhile, the Rank Order Centroid (ROC) method is used to assign weights to each criterion. By combining MAUT and ROC in a support system, companies have a more structured and measurable way to select potential Internal Auditors. This approach is expected to help overcome issues in candidate selection that often do not align with the company's needs, and to provide more accurate and objective decisions. The ultimate result obtained by applying the MAUT method is a value of 0.794, which is the highest ranking among the 7 selected alternatives. The highest ranking result associated the seventh alternative, named Poppy Rosana.
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