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

 1   2   3   4   5 
Kelompok Penyakit Tanaman Apel Menggunakan Metode K-Means Berbasis Web Askia Sani; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1021.456 KB)

Abstract

The state of a good apple plant can be detected by identifying the disease in apples. One method to detect apple disease can be done with K-Means. Application of apple plant disease grouping using this android based K-Means method can make it easier to detect the apple plant penyakti, this application is based on android so that users can easily run this application anywhere and anytime with the user's mobile phone. This is where the discussion is about building a detection sistem application that users can use to detect the presence of pests in apple plantations. Application of diganosa sistem of apple plant disease can display diagnosis result quickly and precisely based on the symptoms entered by user. To make the diagnosis become very valid, then the data of symptoms included into decision support sistem is a symptom data, must be complete meaning of symptoms that can lead to a disease must be entered in full, because conclusion of diagnosis result (percentage) shown counted Automatically by the sistem using K-Means.
Permainan Mobile Augmented Reality Berbasis Lokasi Untuk Pengenalan Kehidupan Kampus Bagi Mahasiswa Baru Fakultas Ilmu Komputer Universitas Brawijaya Renno Andika Syawaludin; Wibisono Sukmo Wardhono; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1051.532 KB)

Abstract

New college students will feel a significant difference compared to high school life, in both the academic and socio-cultural aspects. To prepare mentally and gives an overview of the learning system and life on campus so it needed the orientation program for new students to accelerate the adaptation to the new environment. In the “Pengenalan Kehidupan Kampus” (PK2) new students tend to stay in the room, students can enjoy the activities by playing the game while walking around on campus. From that problem created a game media that used for introduction to university life by using mobile devices with Augmented Reality technology. In implementation of game PK2 will be using Unity game engine and camera sensor using Vuforia SDK. On implementation, the pointer on the game will move based on the position of players. There is also mini-game that played using the camera sensor to obtain information of the campus. The information that has been obtained through mini-game can be accessed via “ensiklopedia” menu in the game. Tests performed include functionality and usability testing. Through functionality testing Filkom: exploration functionality has been going well. Through usability testing obtained reciprocal of the respondents, with an average satisfaction score 4:13 (82.67%).
Pengembangan Alat Bantu Pemanggil Penyandang Tunarungu Menggunakan Library Pocketsphinx Berbasis Android (Studi Kasus PSLD Universitas Brawijaya) Nurul Huda Abdullah; Mahardeka Tri Ananta; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.661 KB)

Abstract

Smartphone can help activities people of disabilitie, among others, is to seek information, self-existence and eliminate burnout. But smartphones can be used also to help communicate between normal people and people with disabilities, one of which is calling people with hearing disability. If a normal person wants to call a person with hearing impairment, he or she should usually tap the shoulder or turn on the light switch to attract the attention of the deaf. But with the presence of sensors embedded in smartphones, normal people can easily call the deaf. To facilitate the calling of the deaf person then designed and implementation of an application converts voice into text. This app works if there is a voice calling the name of a person with hearing impairment, so the smartphone belonging to the deaf person can give a vibrating notification. To implement the application need to use the library to convert the sound into text that is pocketsphinx library. The application also needs to be implemented in the background service so that users can open other applications / programs without interrupting the application being run. This app also uses vibrate notifications to give notifications to app users if anyone calls This Aplication can recognize sound up to 4 meters.. Then the user response to the application tested by usability testing obtained 76.25% for caller and 81.18% for the deaf. This shows that the application is good and successful.
Sistem Diagnosis Penyakit Hati Menggunakan Metode Naive Bayes Novianto Donna Prayoga; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.682 KB)

Abstract

System Diagnosis of Liver Disease using Naive Bayes Method is an application that aims to help people for diagnosing liver disease early. This system is built based on problems that occur in society that is difficult in liver disease. Because liver disease has many symptoms and there are similarities in symptoms. This is one of the causes of high percentage of liver disease in Indonesia, recorded from Basic Health Research in 2013, one type of liver disease that is national hepatitis B prevalence reached 21.8 percent, and ranked third highest in Indonesia.The Naive Bayes method was chosen in this study because Naive Bayes paid attention to all features of data training so as to make this method optimal in classification process. This system uses the Android operating system, because Android is quite consistent popularity in the market smarthphone Indonesia until now. The data used in this study were obtained from doctor who have been validated by the institution of Universitas Brawijaya Hospital, Malang. The results of this study indicate base on the accuracy testing of 40 data testing obtained an accuracy of 87,5%.
Implementasi Metode Naive Bayes Untuk Diagnosis Penyakit Kambing (Studi Kasus : UPTD. Pembibitan Ternak dan Hijauan Makanan Ternak Kec. Singosari Malang) Healtho Brilian Argario; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.44 KB)

Abstract

Goat breeding is the main commodity in the Technical Implementation Unit of Livestock Breeding and Forage of Livestock Feed (UPT PT and HMT) Kec. Singosari Malang. Based on East Java Governor Regulation No. 130 of 2008 on Organization and Working Procedure of Technical Implementation Unit of Livestock Service Office of East Java Province, one of the tasks of UPT PT and HMT Malang is to cooperate with livestock groups, and provide livestock seed support, especially goats. Goat cattle business will experience constraints when the goat is infected with the disease. For the target group that wants to consult with the UPT and HMT should contact the agency and the doctor will come to check. This is less effective considering the distance, length of travel time and the number of animals controlled by the agency. Therefore, researchers want to make intelligent computing that can be applied to the laptop or personal computer in order to help the group of livestock assisted UPT PT and HMT Malang to diagnose the disease. The method used in this research is by Naive Bayes method. Input is a symptom that occurs in the field and the output of the diagnosis and treatment advice. The result of system testing accuracy with Naive Bayes method is 90%. With the results of such precision, the method of Naive Bayes has a good.
SPK Pemilihan Resep Masakan dengan SAW dan Fitur Berbasis Lokasi Pada Android Nabila Nabila; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.133 KB)

Abstract

The selection of recipes on digital recipes is now done manually by comparing recipes to get recipes that match the criteria. The selection of recipes manually is less effective because it takes a lot of time in the recipe selection process from a large number of recipes. Lack of information on where to buy ingredients is also a problem because finding the location of the providers of the required ingredients takes time and sometimes the information gets less precise so mistakes in finding the location of purchasing ingredients often occur. To overcome these problems, we need a decision support system that can solve the problem of choosing recipes and can provide location information to buy the materials needed for cooking. The recipe selection decision support system is implemented using Simple Additive Weighting (SAW) method in the selection of recipes equipped with location-based features to provide location information where to buy ingredients. The system runs on the Android platform to take advantage of location-based features (LBS) found on Android. The result of User Acceptance Testing (UAT) with calculation using Likert's Summated Rating (LSR) scaling technique obtained a total score of 804.
Perbandingan Performa Progressive Web Apps dan Mobile Web Terkait Waktu Respon, Penggunaan Memori dan Penggunaan Media Penyimpanan Muhammad Rasyid Ridho; Aryo Pinandito; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.132 KB)

Abstract

Progressive Web Apps (PWA) is a Mobile Web that uses the latest technologies to create a Mobile Web with better user experiences than traditional Mobile Web. Creating a web application with such experiences, one thing that can not be forgotten is performances and the technologies behind it. Speaking of performance, many aspects could be considered, such as responses time, memory usages and storage usages. Thus, this study will discuss about comparisons between PWA and Mobile Web related to those aspects in order to provide some insights and references of this newly introduced technology. From this study, there are some things that can concluded. Response time performance depends on page resources size, caches size and the access frequencies. On a small sized page and small sized cache files, Mobile Web still faster than Progressive Web App, while on large sized page and cache files Progressive Web App is the winner. In memory usages performance, Mobile web uses memory fewer than PWA due to an additional process that PWA has (Service Worker). In storage usages performance, Mobile web is not using any of storage spaces, while the storage usages of PWA depends on the size of the caches stored in the browser.
Rekomendasi Lokasi Wisata Kuliner Menggunakan Metode K-Means Clustering Dan Simple Additive Weighting Nugroho Dwi Saksono; Yuita Arum Sari; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1095.668 KB)

Abstract

Culinary tour is one of the activities that are often done when visiting a city. the mistakes often made because lack of information regarding a location of a culinary tourism can cause a problem for tourists. The purpose of this study is to help the tourists in determining the location of culinary tourism that has the facilities in accordance with what they desired. K-Means Clustering is a method that groups data according to their clusters. Simple Additive Weighting (SAW) is a method for the ranking process by using a preference value. In this study, K-Means Clustering method will divide the location according to the distance calculated from the initial position of the user to the address of the location, then SAW method will sort which location best suit the user's wishes. The testing used 49 location data. The testing process is a accuracy test by comparing result from the system and results from 30 respondents. The results of the testing process is obtained an accuracy of 63.33% for very close category, 40% for near category, and 46,67% for medium category. This system can provide recommendations for very close categories with fairly accurate although for the near and medium category is still not accurate enough.
Aplikasi Pencarian Rute Angkutan Umum Kota Malang Berbasis Android Berdasarkan Dua Titik Awal Terdekat Almira Kalyana; Ratih Kartika Dewi; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.891 KB)

Abstract

Population increase occured in various regions of Indonesia, one of them is Malang City.With the increasing number of residents and immigrants of Malang City, then the public transportation is needed for the smoothness of their activities. Based on facts, media information for the pople of Malang City about public transportation routes is very needed. Currently, municipal government of Malang City is provides public transportation routes information on MediaCenter website. However, the information which provided is just a list of public transportation routes. So based the functional features, that information is not good enough to ease the user problem. Therefore, we need a mobile based application which built to facilitate residents and visitors of Malang City in choosing public transportation from the depature location to destination location. System was bulit using the haversine formula and best-path planning algorithm (hub-based planning). This system provides 2 starting points as an alternative to informing users that from the same depature site there are 2 starting points to get public transportation. The system scored 87% of accuracy testing on route search results. In usability testing, system earns 83% learnability, 62% efficiency, 91% memorability, 90% errors, and 88,5% statisfaction.
Sistem Pakar Diagnosis Penyakit Tanaman Cengkeh Menggunakan Metode Naive Bayes (Studi kasus Kecamatan Wonosalam, Jombang) Andrianto Setiawan; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.183 KB)

Abstract

Clove plants are classified into plantation crops or industries that are widely grown in Wonosalam. But not all clove plantations belong to the local people, but the owners are residents from outside the region. This causes the plant is less well groomed cloves and eventually attacked by disease. One method to diagnose clove plant disease can be done with Naive Bayes. Clove plant disease diagnosis expert system using Naive Bayes method can make it easier to detect diseases that attack the cloves based on the symptoms that arise. The Naive Bayes method is implemented on an expert system inference engine in order to make inferences based on existing knowledge on the knowledge base. Results obtained after a system accuracy test of 93% indicating that the method of Naive Bayes is suitable for clove plant disease cases.
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