Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

7.357

P-Index

This Author published in this journals

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

Author-ID : 3467657

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 62 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

Penerapan Metode Model View Controller dan Clustering Untuk Sistem Pemesanan Menu Berbasis Android Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Waroenk Akul is a variety of food places located in the Pasar Minggu area of South Jakarta, where Waroenk Akul is still applying the method of ordering food directly to the seller by means of the customer getting a menu book and recording the desired menu order still using the books and pens provided, based on the application. android here this ordering aims to make it easier for customers to order and choose food using their respective customer's cellphones, this android feature is also available a menu that is often ordered by customers in its android application. In this research, the system development uses the MVC (Model View Controller) method which divides the login display and the user interface or the display seen by the user, while the Clustering searches for information data in a system, with a key, for example finding the fried rice menu, then will appear all types of fried rice menu. With this system, it is very easy for customers to see the food menu without having to open the book food menu.

Perancangan Sistem Informasi Untuk Pencarian Apotik Dengan Menerapkan Metode Prototyping Berbasis Android Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

A pharmacy is a shop where you mix and sell medicines based on doctor's prescriptions and sell medical items. The goals and interests of system users here are citizens or communities who are the main priority which is important to provide better services for the future, system user satisfaction is needed to provide maximum service. With the creation of this system, which aims for users not to mind searching for the location of the nearest pharmacy, the prototyping method is here to design and develop the system. By designing a dispensary search system with this prototyping method so that the user system can immediately search for the nearest pharmacy, purchase drugs and there are pharmacies that can be ordered online and users do not have to come directly to the agency or to the pharmacy.

Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW) Rima Tamara Aldisa; Fifto Nugroho; Mesran Mesran; Susi Agustini Sinaga; Kelik Sussolaikah
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

In this study, the author uses the SAW (Simple Additive Weighting) method to determine the best sales at marketing company. The SAW method is considered appropriate in determining the best sales because the SAW method performs the weighted summation process of the performance rating on each alternative on all attributes. This research was conducted by determining the criteria, alternatives and weights, then carried out the matrix preparation process, calculating normalization and calculating preferences. So from the results of the calculation of preferences, a ranking process is carried out to determine the best alternative. The results of the study provide recommendations for the 6th alternative which has the highest value with a value of 0.879 being the best sales.

Perancangan Aplikasi Task Management Untuk Asisten Laboratorium Dengan Metode PIECES Berbasis Android Rima Tamara Aldisa; Muhammad Naufal Rifqi
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

This study aims to build a task management application aimed at laboratory assistants to plan and develop a job in one period. With this android-based application, it is easier for laboratory assistants to be able to find out more about how satisfied and comfortable the assistant is in using the application. This system is made using the Pieces method, with measurements of 6 aspects or variables, namely from the aspects of Performance, Information, Economics, Control, Effeciency, Service. The results of the analysis of the Pieces method show that the measurement of the satisfaction level of the system is laboratory assistant. With a method that produces an average value of 3.518 and is included in the satisfactory category, it can be said that the use of this application helps the laboratory during a period of being satisfied with the android-based application.

Penerapan Metode MABAC dalam Sistem Pendukung Keputusan Rekomendasi Aplikasi Pemesanan Hotel Terbaik Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

People's needs for ordering applications are very popular in today's digital age because they can make it easier for people. One of the booking applications is a hotel booking application which aims to prevent people from having to queue to make hotel reservations and can see many hotel choices and other holiday needs in one application. Many hotel booking applications are available on the Playstore and Appstore, making people hesitant to determine the right application for making hotel reservations. The Decision Support System is applied in this study as a system for recommending the best hotel booking application. In determining the best hotel booking application recommendation, it must meet criteria such as Application Features, Payment Options, Application Ratings, Number of Users and Storage Capacity. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the MABAC (Multi-Attributive Border Approximation area Comparison) method which can generate preference values from the first ranked alternative. So that the recommendation for the best hotel booking application lies in the alternative H8 on behalf of Traveloka with a value of 0.51283.

Perbandingan Metode Pieces Dan System Usability Scale Untuk Menganalisa Kepuasan Pengguna Pada Sistem Penyewaan Mobil Berbasis Android Rima Tamara Aldisa; Erwin Samudra; Rossa Sahara
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4705

The research aims to build a car rental information system aimed at consumers who want to rent a car. With this system, car rental is more efficient and makes it easier to find out how satisfied and comfortable consumers are. This system is made using the Pieces method, with measurements of 6 aspects or variables, namely from the aspects of Performance, Information, Economics, Control, Effeciency, Service. The results of the Pieces analysis show the measurement of the level of user satisfaction. The System Usability Scale method or abbreviated as SUS here is an estimate to facilitate measurement and SUS has several appropriate questions. This system aims for consumers who are looking for an android-based car rental to analyze user satisfaction with the discount method which produces a value of 3,845 which is average and satisfactory, with a comparison of the SUS method getting an average value of 72 it can be said to be the same as the discount method, which is satisfactory. So it can be said that the users of the system here, namely consumers of car rentals, are satisfied with the system that has been designed based on Android

Penerapan Metode Fuzzy Logic Pada Tempat Pemberi Pakan Kucing Menggunakan Sensor HC-SR04 Rima Tamara Aldisa; Puspa Ayu Soleha
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.5029

This tool can help in feeding cats using the HC-SR04 Sensor. The author designed the application of the Fuzzy Logic Method to the Cat Feeder Using the HC-SR04 Sensor by making this tool useful as a feeder for cats. A tool is made that is expected to control or give food portions so that they do not experience a lack of food with a fairly good portion by applying the Fuzzy Logic method to control the distance for cats with the tool every day. If the feed provided has been used up by the cat, if the cat moves closer to the feed, the tool will automatically open. Automatic system by utilizing the HC-SR04 sensor, if the cat gets close to the feed it will automatically open with a range of 3 meters if it exceeds it will not open

Penerapan Metode Naïve Bayes Dalam Mendiagnosa Penyakit Leptospirosis Rima Tamara Aldisa; Sechan Alfarisi; Mohammad Aldinugroho Abdullah
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2205

There are still many people who are less concerned with environmental cleanliness, where this can lead to the accumulation of bad bacteria that cause disease. One of them is Leptospirosis, a disease caused by a bacterial infection, namely the Leptospira strain. Leptospirosis is a disease caused by the laying of bacteria in animals that is transmitted to humans. This disease is often ignored by the public due to lack of understanding about this disease and the high cost of conducting examinations and consulting a doctor or hospital. So that in overcoming this we need a way that is able to help the community in knowing and diagnosing Leptospirosis, one of which is by using an expert system. The expert system used in solving the problem of Leptospirosis is by using the Naïve Bayes method. The application of the Naïve Bayes method in diagnosing Leptospirosis is carried out by collecting data about Leptospirosis where this process aims to find out what symptoms are caused by Leptospirosis. The process of collecting data on this disease is done by interviewing an expert or doctor who handles the problem of Leptospirosis. The results of the diagnosis of Leptospirosis based on the calculation of the Naïve Bayes method with new user data samples get results with a definite level of accuracy where the user experiences Leptospirosis disease with mild symptoms of 63% and the results of the user experiencing Leptospirosis disease with severe symptoms of 37%. Naïve Bayes is able to diagnose with 100% accuracy seen from the total severe and mild symptoms

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 : STMIK Budi Darma

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

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 : STMIK Budi Darma

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

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

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

Title

Found 62 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 62 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 62 Documents
Search