Article Per Year (5 Year)
p-Index From 2021 - 2026
7.462
P-Index
This Author published in this journals
All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Fountain of Informatics Journal Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Proceedings Series on Physical & Formal Sciences Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Anestesi: Jurnal Ilmu Kesehatan dan Kedokteran Journal of Information Technology and Cyber Security
Ratih Kartika Dewi
Fakultas Ilmu Komputer, Universitas Brawijaya
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Health Professions Library & Information Science Mechanical Engineering Nursing Physics Public Health

Published : 153 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 153 Documents
Search

 8   9   10   11   12 
Implementasi Metode K-Nearest Neighbor Untuk Mendiagnosis Penyakit Tanaman Bawang Merah Muhammad Kurniawan Khamdani; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Onion is a spices plant which have a usage as cooking seasoning flavour. The use benefit of red onion other than a cooking seasoning flavour is also as the source of Vitamin B and C, protein, fat and carbohydrate which is needed by human body. Badan Pusat Statistik (BPS) takes a note on the red onion production of 8.305 ton in 2013 that decreasing as much 5.851 ton (41.33%) from last year. The low productivity of red onion is caused by the implementation of cultivation technology. With the development of increasingly sophisticated technology, the existence of software that can help to diagnose pests and diseases will greatly help farmers to diagnose early and make early treatment of pests and diseases of red onion plants. One method that can be used to diagnose pests and diseases in red onion plants is k-nearest neighbor. k-nearest neighbor (kNN) is belong to instance-based learning group. This algorithm is also one of the lazy learning techniques. kNN is done by looking for group of k object in the closest or similar training data with objects on new data or testing data. in this study the k-nearest neighbor method is used to diagnose onion plants with an average accuracy of 85.835%.
Perancangan User Experience Aplikasi Mobile Pelayanan Kependudukan Terpadu Kota Malang Menggunakan Metode Human Centered Design Ferdinan Oky Fahrerri; Herman Tolle; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Dispendukcapil is the agency that handles the creation of population files and civil registration for Malang City. In its implementation, there are still deficiencies in the process of file processing at the Malang City Administration, causing many complaints from the public. Starting from the relatively long service time, complicated management process, no estimated completion time, to complaints from the public that they have to frequently come to the Dispendukcapil office to find out whether the population files being managed have been completed. Dispendukcapil once issued a birth certificate service application in 2018. However, until 2020 only five people were registered to have registered for birth certificates through the application due to difficulties. So that this integrated population service application requires a User Experience (UX) design so that people can use it easily and efficiently. The approach used in designing this application is Human Centered Design (HCD). HCD is an approach to interactive system development that aims to create a system that focuses on user needs and can increase user satisfaction. The final result of this UX design is a high-fidelity prototype. The prototype is then evaluated using the heuristic evaluation method involving three experts as evaluators. There are sixteen findings of usability problems after evaluation. After the evaluator consolidation process was carried out, there were ten problem findings that had to be fixed. The process of improving the solution design is carried out in accordance with the suggestions given by the evaluator
Pengembangan Aplikasi Rekomendasi Musik Berdasarkan Cuaca Pada Platform Android Ahmad Wildan Rizaldy; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Music is one of the biggest human entertainment. With digital music and the internet, there is so much music that can be listened to by the million users. Music recommendation is the recommendation system that exists not only because there is so much music out there, but because the perception about music is still cannot be fully understood. At the moment, there is a need for a recommendation system that suits the requested context. The Music Recommendation System based on Weather help user to find their music that fits with the context they are in. The development of this system is to make an android application and using an expert system method with forward chaining. this system will process input that the user input and the output will be a recommendation of music that fits the expert rule. Functional testing of this system resulting in a valid outcome which means this system grade is 100%. While usability testing of this system outcome is 76.5 in value of system usability scale which means it's acceptable. Then the accuracy testing that will compare the output system and the expert, the system comes out with 100% accuracy.
Pengembangan Aplikasi Rekomendasi Musik Berdasarkan Lokasi Pada Platform Android Komang Yoga Arimbawa; Ratih Kartika Dewi; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Music is an important aspect within human daily life. The reason people listen to music is to fill spare time and to keep the mood in good condition. However, with so many music choices, users find it difficult to find music that suits their context. Examples such as considering music based on the location of the current user or the activity that is being carried out now. Required a system that can recommend music according to the context faced by the user. Application Development for Music Recommendations Based on Location moves on devices with the Android operating system. The recommendations are given in this system use the expert system method with forward chaining flow. The recommendation system will process the input obtained from the user and provide music recommendations in accordance with references provided by experts. Functional testing of this music recommendation system has met the requirements of "valid" by reaching a value of 100%. Similar to usability testing using the System Usability Scale method, this system managed to get a value of 75.5, this value is an indication that the system is in the acceptable category. This application can be used to find music according to the context considered based on the user's current location.
Pengembangann Aplikasi Rekomendasi Musik Berdasarkan Emosi Pengguna Pada Platform Android Muhammad Abdul 'Alim; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Listening to music has become a hobby for everyone. Listening music does have its own charm, with a lot of genres out there, we can listen music anytime and anywhere we want. Also, with a lot of types of music too, we can match with the situation of the user. This can be a problem for music listeners who want a specific music for their taste. Example when somebody having a bad day, they tend to have a bad mood. This problem can be solved by listening to music with a slow rhythm. With problem something like this, we can make system recommendation based on user context. The Development of Application Recommendation Based on Mood User is to make android application with emotion based and using expert system method with the forward chaining method. For recommendation, playlist provided by system is derived from experts. Functional testing of the system, resulting in a valid outcome with a value of 100%. For usability testing, we are using the System Usability Scale with a value of 84. Which is categorized as excellent. Lastly, for accuracy testing, we are comparing using system output and what expert recommended as result with an accuracy value of 80%.
Pengembangan Aplikasi Android Rekomendasi Tempat Pembelian Kuliner Khas Malang dengan GDSS dan LBS Dheanisa Putri Rahayu; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Culinary is the result of processed food in the form of food or beverages. One city that has many culinary places is Malang. The number of places for culinary purchases allows tourists to choose the desired culinary spot. However, there is no system that can provide information about where to buy culinary based on the criteria desired by more than 1 user. Based on the problems that have been mentioned above, the researcher wants to create a recommendation system for typical Malang culinary places based on Android. This recommendation system uses the TOPSIS-Borda method through the Group Decision Support System approach. To get a culinary place recommendation, four criteria are needed as a determinant, including the closest distance to a culinary place, operating hours, affordable prices and good ratings. In solving the problem, the researcher uses a web service to store data on culinary places and perform TOPSIS-Borda calculations. The black-box test results show that all functional requirements can operate well with an accuracy level of 100%. For the comparison of manual calculations with calculations from the system, the two calculation results have the same value. For the results of usability testing, this recommendation system gets an average result of 77 which indicates that the system is quite well received with grade C, also having excellent category based on the SUS Score.
Perbandingan Double Exponential Smoothing dan Triple Exponential Smoothing untuk Peramalan Jumlah Produksi Padi di Kota Surakarta Moch Irfan Prayudha Adhianto; Fitra Abdurrachman Bachtiar; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Every day, humans consume staple food as a source of energy to carry out daily activities. Most people, especially in the city of Surakarta, consume rice as a staple food made from rice in the rice plant. Therefore, rice is the most important crop in the city of Surakarta. The city government of Surakarta hopes that rice production will always increase. However, with the weather, employment, city planning, and other factors can cause the development of rice production to decline. With this, the city government of Surakarta cannot know when rice production has decreased. Therefore, with this forecasting research, it is hoped that it can help the Surakarta city government in cultivating these rice plants. This rice production forecasting system is designed using two methods as a comparison, namely: Double Exponential Smoothing and Triple Exponential Smoothing. The data used is data from Badan Pusat Statistik (BPS) Kota Surakarta. By using the alpha, beta value parameter in the Double Exponential Smoothing and the alpha, beta, and gamma value Triple Exponential Smoothing methods, it is found that the MAPE (mean absolute error error) value of the Double Exponential Smoothing method is 39.31 with the best combine alpha and beta value of 0.4 & 0.2. Meanwhile, the MAPE value of the Triple Exponential Smoothing method is 31.65. with the best combine alpha, beta, gamma value of 0.4, 0.1, & 0.9.
Pengujian User Experience Aplikasi Perangkat Bergerak Jagoan Indonesia Menggunakan Metode Usability Testing Erlangga Rizki Pratama; Eriq Muhammad Adams Jonemaro; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

Modernization requires all areas of human life to be fast and easy, including education. As is the case with activities to increase a sense of nationalism through learning Indonesian culture, carried out with methods that are creative, innovative, fun and not boring (Fadillah, 2016). Learning can use the application "Jagoan Indonesia" on mobile devices. In this game, there are main functions, namely exploring, puzzles and quizzes. Puzzles are used to match the map of Indonesia with regional names, however the roaming and quiz functions are still under development. In order to adapt to the current state of the user, it is necessary to measure the quality and design to make it more user friendly in terms of users and to make a good user experience must be good usability. In this study using usability testing. Usability testing is used on of learnability, efficiency , errors and level of satisfaction (Nielson, 2012). In this case, the sample of test was taken from 10 students of MI Plandi 1. Performed in two scenarios, namely without the application and with the application. The purpose of this study was to find out the process and results of usability testing on the mobile application "Jagoan Indonesia" in class students. 4-6 MI Plandi 1. The results of the calculation using usability tasting are in the form of Learnability 100%, Efficiency 0.0027, Error 0.2 and Satisfaction 69,00 and acceptance on high categori. Thus, it can be said that the application on Indonesian whiz mobile devices can be accepted and used well by respondents. It is also influenced by the age factor of the respondents who mostly enter adolescence and most of them are female, which is able to increase the acceptance of new material well.
Implementasi Metode Modified K - Nearest Neighbor (MK-NN) Untuk Klasifikasi Cedera Pada Pemain Futsal Putut Abrianto; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

One of the sport that is often played by the general public is futsal where is the futsal follows the basics of football, but the difference with football is that futsal is played by a few people and is played on a relatively smaller place or field. In every futsal game, of course there must be a player who suffered an injury. Slippery and uneven field conditions are the factors that affect futsal players that can easily fall and subsequently suffer injuries during futsal games. The existence of a system that can classify the types of injuries suffered by futsal players will greatly help solve this problem. Utilizing the modified k - nearest neighbor method implemented using Java language, a maximum accuracy of 97% is obtained from different K values.
Pengembangan Sistem Rekomendasi Musik berdasarkan Waktu berbasis Android Dwi Yovan Harjananto; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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

Abstract

In modern era, music has become an integral part towards many people, especially to accompany their daily activities. Further technological advancements such as the internet has affected and made easier the distribution of music for music affocionados. However for some, too many music in the distribution resulted in them having some difficulty in finding the one that suits their preference. Therefore, there exist a need for a system where music are grouped to small groups based on specific criteria-such as genre-and then recommending those to the user to ease their search. In realizing such system, the researcher conducts a research to develop a genre-based music categorization system. This recommendation system is developed as a mobile-based application in the Android operating system, where music that are recommended is based from surveys from scholars as well as using forward chaining algorythm. The system will recommend music within a databse in the form of playlist that is further segmented into the time of the day. Blackbox testing of the system is done with the intention to test the accuracy percentage of system's primary function. System Usability Scale test done to the system is also to measure the usability of said system, taken from testing the system to users directly.
Co-Authors Adam Hendra Brata Ade Armawi Paypas Aditya Purwa Pangestu Afrizal Fath Rahman Agi Putra Kharisma Agi Putra Kharisma, Agi Putra Ahmad Aulia Fahmi Ahmad Wildan Rizaldy Akhmad Syururi Alexandrio Kharisma Putra Marasin Alfi Musyaffa Ghossa Almira Kalyana Alsiendo Dewantara Amalia, Annisah Andriano Eucharistia Wibowo Andrianto Setiawan Angel Anggina Nasution Annisah Amalia Aryo Pinandito Asep Ardi Herdiyanto Askia Sani Asrina Fitri Asti Dhiya Anzaria Atikah Nabila Bella Dwi Rahmatulia Bella Rhobiatul Adhawiyah Brilliant Richky Setya Putra Candra , Ersya Nadia Candra Dewi Carly Vyoletta Siagian Chastine Fatichah Chindy Aulia Sari Chrysler Imanuel Dani Kurnianto David Hosea Sipahutar Dea Annisa Larasati Deni Kusuma Fajri Desy Diandra Bestari Devita Natalia Krisdayanti Dewantoro, Mury Fajar Dheanisa Putri Rahayu Diah Priharsari Dieni Anindyasarathi Dimas Angga Nazaruddin Djohansyah Putra Dwi Astuti Dwi Juni Kartika Dwi Yovan Harjananto Dwi Yovan Harjananto Edy Santoso Elvine Ivana Kabuhung Erastus Mauliate Eriq Muhammad Adams Jonemaro Erlangga Rizki Pratama Fais Al Huda Faishal Pradipta Astungkoro Farah, Najla Alia Faris Abdi El Hakim Fasya Yahya Febrian Diaz Maulana Felinda Gracia Lubis Fendra Gunawan Ferdinan Oky Fahrerri Fiqih Yanfirdaus Afandi Fitra Abdurrachman Bachtiar Frondy Fernanda Ferdianto Ganda Adi Khotarto Gede Satria Harinamanata Gerald Marihot Hasiholan Ginardi, R.V. Hari Hadi Dwi Abdullah Hamid Hanifah Muslimah Az - Zahra Hanifah Muslimah Az-Zahra Healtho Brilian Argario Hema Prasetya Antar Nusa Herman Tolle Heru Budiyanto Heru Putra Hutomo Ardianto I Made Wira Satya Dharma Ibnu Rakha Icha Gusti Vidiastanta Ignasius Try Sevandri Ikhsanul Isra Yunelfi Imam Cholisoddin Imam Cholissodin Imam Cholissodin Imron Hari Budisetyo Iqbal Santoso Putra Irsyad Rifqi Arrazaq Ismail Risky Rahmansyah Issa Arwani Jeriko Hosea Julanto Jermias Kristian Jiwandani Andromeda Jodie Rizky Hidayat Jonemaro, Eriq Muhammad Adams Julian Fuad Fauzi Kadek Dwi Aryasa Komang Candra Brata Komang Yoga Arimbawa Kurnia S., Primananda Labib Alfaruqi Ibrahim Lailil Muflikhah Luqman Hakim Harum Lutfi Fanani Lutfi Fanani M. Salman Ramadhan Mahardeka Tri Ananta Mahendro Agni Giri Pawoko Marji Marji Moch Dian Fahmi Moch Irfan Prayudha Adhianto Mochammad Faizal Satria Rahman Mochammad Taufiqi Effendi Mohammad Arda Dwi Ardianto Mona Adelina Muh Wildan Shalahuddin Muhamad Arifin Ramadhan Muhamad Danis Firmansyah Muhamad Hilmi Hibatullah Muhammad Abdul 'Alim Muhammad Aminul Akbar Muhammad Aminul Akbar Muhammad Aufa Athallah Muhammad Dimyathi Muhammad Hafidz Rahman Muhammad Kurniawan Khamdani Muhammad Rasyid Ridho Muhammad Regian Siregar Muhammad Rifqi Ramdhani Muhammad Robby Dharmawan Muhammad Salman Ramadhan Mujahid Bariz Hilmi Mustika Mentari Nabila Fairuz Zahra Nabila Nabila Nabila Nabila Nadia Putri Nur Ramadhani Naufal Afif Bunyamin Navisa Putri Maulidia Nisrina Dhia Ufaira Novianto Donna Prayoga Nugroho Dwi Saksono Nurizal Dwi Priandani NURUL HIDAYAH Nurul Hidayat Nurul Huda Abdullah Olivia Bonita Pungky Aryati Putut Abrianto Randy Cahya Wihandika Raras Kirana Amaranggana Rebecca Octaviani Renno Andika Syawaludin Restu Fitriawanti Retno Indah Rokhmawati Reynald Hermanto Simanjuntak Reza Rahardian Rhiezky Arniansya Rhyzoma Grannata Rafsanjani Ricky Irfandi Riswan Septriayadi Sianturi Rizal Rudiantoro Rizki Wulyono Propana Sodiq Rizky Adytia Ivan Rahman Sandy Ikhsan Armita sarwo sri, sarwo Steven Willy Sanjaya Sukmo Wardhono, Wibisono Sutrisno Sutrisno Swastika Akbar Umardani Syndu Pramanda Galuh Widestra Tifanny Rizka Faressi Tri Afirianto Tri Afirianto Tri Afirianto, Tri Usman Adi Nugroho Valen Novandi Kanasya Vicky Robi Wirayudha Wanda Septia Dewi Lestari Wardhani, Shinta Kusuma Wiandono Saputro Wibisono Sukmo Wardhono Wibisono Sukmo Wardhono, Wibisono Sukmo Widhi Yahya Yehezkiel Windriono Yori Tri Cuswantoro Yuita Arum Sari Yuita Arum Sari Yusuf Ramadhani Ziya El Arief Zulfikar Faras Fadila Zumrotul Islamiah