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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

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

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Articles

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Penerapan Metode Scrum pada Sistem Kehadiran Asisten di Laboratorium Berbasis Android Rima Tamara Aldisa; Azizah Azizah
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Attendance is an activity to find out the number of arrivals for laboratory assistants at an agency. Attendance is very necessary for the head of the laboratory to know the level of discipline and diligence of each laboratory assistant. The purpose of this study is to design an android-based laboratory assistant attendance system so that it is easy to check. The method used in this research is the scrum method. The scrum method is used because this method is easy to use, easy to reach. After blackbox testing, it was found that the assistant presence system in this laboratory can run as expected and every menu feature can be used by assistants and the head of the laboratory

Penggunaan Metode Certainty Factor Pada Sistem Pakar Deteksi Kerusakan Perangkat Keras (Hardware) Komputer di Laboratorium Berbasis Android Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The system is designed to assist in providing the final result of knowledge of the damage that occurs in computer hardware in the laboratory, the expert system here imitates or is similar to a laptop service expert in knowing the damage that occurs. This system is built using Android which can be installed by the user, the user here is the laboratory assistant and the main laboratory head, this system helps in dealing with the damage conditions that occur in the computer. From the research conducted, an android-based expert system for diagnosing the end of the situation using the factor certainty method can provide information about 4 types of damage diagnoses, 12 damage symptom data, provide information about the cause to suggestions for final treatment. The results of the test using the Alpha Test on 20 participants who we asked to install the expert system first on the cellphone. The participants consisted of laboratory assistants, laboratory heads, the answer choice was "Suitable" which had a percentage value of 0.54 or like 54%, and was carried out also testing using Black Box testing which shows results according to the referral site

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.

Implementasi Metode Weighted Product dan SMART Dalam Menentukan Lokasi Usaha Strategis Bagi Pelaku UMKM Agung Triayudi; Muhammad Faizal; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2947

In the business world, choosing the right business location is one of the main things that must be considered, the problem that occurs is choosing a business location that is not right for the business actors themselves. Therefore, an application is needed that helps business actors to determine the location. strategic for the business they are involved in. In this research, a decision support system application was made to make it easier for business actors to determine the location according to the criteria. Decision support applications are considered effective enough to create a ranking in determining strategic locations for business actors. The Weighted Product and SMART methods using 7 alternative data shows that the two methods produce data that is accurate and suitable when applied as a ranking for selecting business locations. The 2 methods have an elective execution score and the results of the weight values applied to each technique.

Implementasi Algoritma Decision Tree dan Naïve Bayes Untuk Klasifikasi Sentimen Terhadap Kepuasan Pelanggan Starbucks Tiyas Asih Qurnia Putri; Agung Triayudi; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2949

Indonesia is included in the category of countries with the largest population in the world, this situation is a business opportunity for entrepreneurs who enter the coffee shop industry market. Researchers utilize one of the grouping methods, namely data mining classification in order to help business entities to identify different groups in the Starbucks customer satisfaction database. The purpose of this research is to be able to group categories into 3 classes, namely satisfied, quite satisfied and dissatisfied using the Decision Tree & Naive Bayes algorithm. So that it can find out public opinion on Starbucks customer satisfaction, in this study the aim was to obtain accuracy, precision and recall values and find out the best algorithm for data mining classification of Starbucks customer satisfaction. In this study using test data obtained from tweets with the keyword "Starbucks" from Twitter. The results of this study where the sentiment classification process for Starbucks customer satisfaction obtained a neutral category, it can be seen from the reviews using the keywords "starbuck OR starbucks OR #starbucks "The results obtained were positive comments of 476 tweets with a percentage of 19.2%, neutral comments of 1743 tweets with a percentage of 70.3% and negative comments of 258 tweets with a percentage of 10.4%, so that conclusions can be drawn based on the polarity calculation, the comments on stabuck have a satisfied category.In this study, it can be concluded that the performance of the Decision Tree algorithm is better than the Naive Bayes algorithm, as can be seen from the following explanation.The Decision Tree algorithm results in an accuracy of 83%. Naïve Bayes on value accuracy results by 74%.

Penerapan Metode Weight Product (WP) untuk Rekomendasi Pemilihan Jasa Paket Laundry Terbaik Rima Tamara Aldisa; Rifando Adeyansa Purba
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2925

Laundy is an activity of washing clothes or the like at the same time and place in one place. The author takes samples to select package services from one of the shops or laundry businesses, namely dry regular, dry medium and dry express which customers can choose from with differences in turnaround time, weight and price, and can help laundry shop owners find out the type of packages that are often chosen by customers and can make it easier for shop owners to find out the results of sales transactions and reports. To understand this, we need a recommendation system that can help customers and laundry shop owners according to what the author wants. Here the author uses the Product Weight method to find alternative values or the best results using several calculation formulas and gets a result of 0.335 on R2, namely Dry Medium with price criteria, completion time and weight

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

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