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All Journal Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Computing and Informatics Research Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Journal of Blockchain, Nfts and Metaverse Technology ADA Journal of Information System Research
Rima Tamara Aldisa
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Library & Information Science Mathematics Social Sciences Other

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COMMUNICATION AND EMOTIONAL SKILLS DEVELOPMENT PROGRAM FOR CHILDREN IN ORPHANAGES Alisya Mutia Mantika; Rima Tamara Aldisa
International Journal of Teaching and Learning Vol. 2 No. 5 (2024): MAY
Publisher : Adisam Publisher

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Abstract

Through a series of structured activities and based on child center learning principles, this program aims to strengthen the ability to convey their ideas, feelings and needs effectively, help children understand and manage their emotions healthily, improve communication and interaction skills positively with other people, as well as building healthy and harmonious relationships with the surrounding environment. With a focus on developing interpersonal skills, problem solving, and self-understanding, this program will help in building positive relationships with others and improve the quality of their social interactions. Thus, it is hoped that the implementation of this program will have a positive impact on social, emotional and psychological development of children in orphanages, well provide strong foundation for their personal growth and future success.
Penerapan Metode Multi-Arttribute Utilily Theory (MAUT) Dan Rank Order Centroid (ROC) Dalam Pemilihan Bidan Terbaik Puskesmas Dedi Verianto Laia; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1732

Abstract

Midwives are professional health workers who have graduated from midwife education and have been registered in accordance with statutory provisions. In practice, midwives have undergone special training to be able to provide services in the form of midwifery care and in the form of caring for women during pregnancy, childbirth and after they give birth. Apart from that, midwives can also help guide mothers to breastfeed and care for newborns for up to six weeks afterward. So, apart from being able to carry out their own midwifery practice, midwives can also practice in various health facilities, one of which is a hospital. A midwife is a health professional who has an important role in caring for women during pregnancy, childbirth and postpartum. The conclusion is that the determination of the recommendation for selecting the best midwife at the health center using the MAUT method from 7 midwives with 5 criteria and the weight value obtained using the ROC method with the highest result can be alternative A1 with a value of 0.715 and the lowest value is A7 with a value of 0. With the implementation of MAUT and ROC methods in recommending midwives at community health centers using the criteria of skill/expertise, service, responsibility, attitude, age and experience. From the results of calculations using the MAUT method and the criteria weighting values ??using the ROC method, a value of 0.715 was obtained for the main priority order.
Sistem Pendukung Keputusan Pemilihan Leader Terbaik Menerapkan Menggunakan Metode Multi-Atribute Utility Theory (MAUT) Sylvia Situmorang; Rima Tamara Aldisa
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1733

Abstract

Leaders are people who have skills and strengths, including skills in a field, that can influence others to do certain jobs together to achieve a goal. A leader has an important role in influencing employee performance to increase the amount of profit the company can get. The process of selecting the best leader is one of the activities that must be carried out regularly by the company to improve the quality of its employees on an ongoing basis. Thus, the company needs a decision support system (SPK) in order to facilitate the company in carrying out the best leader selection activities in terms of time and obtaining more effective and efficient results. The method used by the author in this SPK is the Multi-Atribute Utility Theory (MAUT) method. The criteria used in this study are having the soul of a leader, high creativity, attractive appearance, loyalty, and having work experience in this field. The result of the Best Leader Selection research that deserves to be the best leader is alternative A3 with a final utility value of 1.2066058 on behalf of "Jessica Oktavia."
Sentiment Analysis on Twitter Using Naïve Bayes and Logistic Regression for the 2024 Presidential Election Alisya Mutia Mantika; Agung Triayudi; Rima Tamara Aldisa
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v2i1.267

Abstract

In accordance with the notion of democracy which is the basis of the state of Indonesia, general elections will be held in 2024. In the implementation of the General Election there is a campaign to lead the public vote to choose the best candidate according to public opinion. Twitter social media is one of the media to voice opinions as well as share information to become one of the indirect campaigning platforms. Social media also does not escape negative issues, community rumors, and even the digital footprint of presidential candidates which can be a very important consideration in campaigning. This research aims to see the public's response to the 2024 presidential candidates. This research is conducted based on public opinion on presidential candidates, then public opinion data taken from Twitter social media will go through a pre-processing process to clean the data before the data is classified into Naive Bayes and Linear Regression modeling. The two classification models are then sought for the highest performance accuracy value and confusion matrix with 80:20 splitting data. The results showed that the Naive Bayes classification model had a higher accuracy value than the Logistic Regression classification model, which was 63% for Anies Baswedan candidate, 77% for Ganjar Pranowo candidate, and 44% for Prabowo Subianto. The highest accuracy value was obtained by the sentiment data of 2024 presidential candidate Ganjar Pranowo, which was 77%.
Implementation of the Simple Additive Weighting (SAW) Method in Selection of Students Recipients of Single Tuition Fee Assistance Riki Sulistio; Ahmad Fahreza Nasution; Muhammad Tawaf Akbar; Rima Tamara Aldisa; Bister Purba
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1202

Abstract

Higher education in Indonesia, including at Budi Darma University, continues to be committed to creating an inclusive and equitable learning environment for all students. In line with this determination, Budi Darma University is implementing the Single Tuition Assistance (BUKT) program to support educational accessibility. Obstacles in the selection process, which is subjective and lacks a structured framework, can lead to inequality in the distribution of aid. This can result in students who should receive greater support being overlooked, while those who may need less may receive greater aid. In the BUKT selection process, there are a number of requirements that must be met, such as parents' income, PKH card ownership, completeness of documents, parents' dependents and home ownership. It is hoped that the use of a decision support system can be a solution to overcome this challenge. Decision Support Systems (DSS) integrate computer technology, mathematical models, and data to provide structured and organized support within a decision-making framework. The Simple Additive Weighting (SAW) method is a multi-criteria decision making method that allows relative weighing between criteria to determine the final score for each alternative. By applying SAW in the selection of BUKT recipient students, it is hoped that more objective and data-based decisions can be obtained. The research results produced the best alternative with a value of 100.00 in the alternative with code A5 in Fitri's name, so that Fitri was declared entitled to receive single tuition assistance.
HOTEL RESERVATION SYSTEM USING WEBSITE BASED RAPID APPLICATION DEVELOPMENT (RAD) METHOD Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 3 (2024): MARCH
Publisher : Adisam Publisher

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Abstract

In the era of all-digital as it is today the importance and need a website to make it easier to make hotel reservations online without having to come directly. Hotel is a company that erects a building intended to provide lodging services. The Hotel has a high occupancy rate is on the edge of the highway. There are problems that need to be discussed, namely the difficulty of hotel customers to make room reservations, the difficulty of customers knowing the type and price of rooms. Customer data archiving is still manual book. The design of Hotel Booking Information System with Rapid Application Development (RAD) method based on the Website here with a view to software development is done in a gradual manner. The black box testing method here is used to test the system. The purpose of this study is to make it easier for customers to search for rooms, and booking hotel rooms online directly without having to come first to the hotel and the purpose for the owner or hotel manager is to process customer data from the beginning of reservation, check in, ordering food or breakfast to check out and can facilitate process of making reports. Information Systems, reservations, Rapid Application Development, Website.
DECISION SUPPORT SYSTEM WITH MABAC METHOD TO DETERMINE THE BEST STUDENTS Ahmad Rifqi; Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 3 (2024): MARCH
Publisher : Adisam Publisher

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Abstract

This research aims to apply the Multi Attributive Border Approximation Area Comparison (MABAC) method in the process of selecting the best students in the educational environment. MABAC, as a multi-criteria decision making method, provides a systematic and objective approach to evaluating and comparing various attributes possessed by students. In this study, the criteria considered include academic, extracurricular, personality and social skills aspects. Data was collected from academic records, teacher assessments, and observations of student involvement in school activities. The MABAC method is used to calculate the relative weight of each criterion and determine a comprehensive score for each student. The research results show that the MABAC method is effective in providing a holistic and multifaceted assessment of student performance. In addition, this method also helps in identifying strengths and areas of development for each student, thereby providing valuable insight for teachers and educators in the coaching process. This research concludes that the application of MABAC can be a useful tool in the educational evaluation process, especially in determining the best students with a more objective and structured approach.
EXPLORING CYBER SECURITY THREATS: A SYSTEMATIC LITERATURE REVIEW Ahmad Farhan Mahesa; Arman Prasojo Sugiyarto; Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

This research aims to determine the challenges faced including political provocation, mis information (hoax), issues related to ethnicity, religion and race (SARA), hate speech, radical ideology, terrorism, hacking, data breaches, online fraud, and various other cybercrime. Proactive anticipation, prevention and mitigation strategies are very important to ensure cyber security. This research uses a systematic literature review method of various articles discussing cybercrime and cybersecurity in a systematic literature review of modern challenges. The research results show that continuous education and training is needed to increase digital literacy and cyber security awareness for effective protection. Synergy between stakeholders in increasing digital literacy and cyber security awareness is very important.
GROUPING PRODUCTS IN SUPERMARKETS USING THE K-MEANS ALGORITHM Mohammad Aldinugroho Abdullah; Rima Tamara Aldisa
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 4 (2024): APRIL
Publisher : Adisam Publisher

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Abstract

Supermarket, a shop that provides various products for use, especially for daily life, including food products, drinks, kitchen utensils, clothing, electronic equipment and others. It is not surprising that many mothers now choose to shop for daily necessities at supermarkets rather than the nearest stall. With self-service, it can make it easier for us consumers to buy different products in one place. So there is no need to change shops to buy other items. Of course, products have different levels of popularity, not only because of taste but also because of price. The number of products provided by supermarkets is relatively large and if you look at the level of popularity, it is difficult to determine, so data mining is needed. The data mining used is clustering. After implementing and using the K-Means algorithm in clustering (grouping) supermarket products, there are two centroids used (C1 for Not Selling Products and C2 for Best Selling Products). The initial centroid value is determined randomly, while the subsequent centroids are adjusted according to the results of calculating the closest distance (maximum distance). The final result obtained is that the best-selling group consists of 12 products, namely products with serial numbers 1, 4, 5, 6, 7, 8, 9, 11, 14, 15, 16 and 17. Meanwhile, the product group does not There are 6 best-selling products, namely products with serial numbers 2, 3, 10, 12, 13 and 18.
SELECTION OF SUPERIOR EMPLOYEES USING THE PROFILE MATCHING APPROACH IN THE SALES DECISION SUPPORT SYSTEM AT AKUL CATERING Rima Tamara Aldisa; Mohammad Aldinugroho Abdullah; Puspa Ayu Sholeha
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 3 (2024): March
Publisher : Adisam Publisher

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Abstract

Identifying and recruiting superior employees is a good challenge for every organization, including catering businesses where service quality directly influences customer satisfaction and business success. This research aims to develop a Decision Support System (DSS) using the Profile Matching approach to facilitate the selection of superior employees at Akul Catering. The Profile Matching method is used to assess the suitability between the candidate's competency profile and the competency profile required by the position to be filled. This research designs and implements an algorithm to measure the level of such matches, enabling more objective and efficient decision making. Data was collected through observation, interviews and questionnaires to determine the criteria and sub-criteria that are relevant to the positions available at Akul catering. The results of this research show that the developed system can effectively speed up the selection process by filtering out candidates who do not meet the minimum criteria and identifying candidates with the best profile match. It is hoped that this system can be integrated into the recruitment process at Catering Akul well to improve employee quality and overall improve catering performance.
Co-Authors Agung Triayudi Ahmad Fahreza Nasution Ahmad Farhan Mahesa Ahmad Rifqi Aldi Chandra Maulana Alisya Mutia Mantika Anggi Annur Septia Arman Prasojo Sugiyarto Bister Purba Dedi Verianto Laia Dwika Asrani Erza Muhammad Randi Frenda Farahdinna Geofani Pasaribu Gunawan Siburian Handoko Pangestu Girsang Iqbal Arif Budiman Jannus Manik Moh. Iwan Wahyuddin Mohammad Aldinugroho Abdullah Muhammad Naufal Rifqi Muhammad Tawaf Akbar Nita Noptapia Sihombing Puspa Ayu Sholeha Raihansa Romadhon Riki Sulistio Serdina Feria Sidabutar Sylvia Situmorang Telaumbanua, Delis Marnyu Yudika Parulian Simatupang