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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

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Pengembangan Aplikasi Android Rekomendasi Kafe di Kota Malang dengan Group Decision Support System (GDSS) dan Location Based Service (LBS) Muhamad Arifin Ramadhan; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 3 (2020): Maret 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The presence of tens of thousand of students in Malang made a positive impact in the Café business in the city. All of this creates problem for the students in this city, that is choosing the suitable café for their needs. Wiandono Saputro had succesfully developed a Café Recommendation Android Aplication using TOPSIS Method.to solve this problem. But a new problem occurred, the application can only process one user input only yet people usually goes to a café in groups. The solution is developing a café recommendation android app. using Group Decision Support System and Location Based Service and the combination of TOPSIS and Borda Method. The criteria that are used are average price, distance of the café from the user, atmosphere of the café, comfort and the café rating. According to the test that had been held, the blackbox test resulted in 100% validity in functional requirement, 100% validity in the algorithm validity test. The last test is usability to understand about the ease of usage and the usefulness of the application through the user's point of view. The test resulted in 75.1 of the average score that falls in the Good category for the adjective rating and grade B in the percentile rank.
Implementasi Sistem Rekomendasi Tempat Pembelian Oleh-Oleh Khas Malang berbasis Perangkat Bergerak Heru Putra; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Souvenir or we might familiar with "oleh-oleh" is a gift from someone who travel to some place. Souvenir usually being given to other people for increase their relationship to someone that being said they knew or someone we care. There's many type of souvenir that can be given to, such as food that only produce locally or food that is popular among others. However, choosing souvenir, like food, needs a careful approach for instance what kind of souvenir that we wanted to bought, how much it's cost, and how long shoult it takes before the expiration date occurs. As the problem like that rise, recomendation system is required for searching a souvenir that we wanted for people that we care about. The development of Recomendation System for food based Souvenir is for mobile device which using Androd Operating System. This Recomendation System used a method called TOPTSIS for the recomendation of food based souvenir. GPS being used in this development for seacrhing a position of the user to reach their desire place from the result of recomendation system. After the development have been implement, functional testing is required to check how this aplication run as it is or not which is the test that already occurred reach a conclusion at 100% valid. For the usability system using System Usatbility Scale testing, the score reach 75.5 which is in a range of acceptable.
Pengembangan Aplikasi Android Rekomendasi Tempat Pembelian Kuliner Korea dengan GDSS dan LBS (Studi Kasus: Kota Malang) Wanda Septia Dewi Lestari; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 6 (2020): Juni 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

As the time goes by, culinary business has become one of many factors that influences the culinary in many Indonesia regions to adapt with the culinary from Korea. Malang is one of them. There are many Indonesians who are interested in this ginseng country culinary. The survey shows that it is hard for the respondents to decide where they want to go to eat that is suitable with their preferences. Other than that, many customers have different preferences from their friends or other group members to decide which Korean restaurant they are going to choose. There for, the aim of this research is to develop an app to recommend places to buy Korean food in Malang with Group Decision Support System (GDSS) and Location Bases Services (LBS) based in Android. TOPSIS-BORDA algorithm is used to get the group recommendation. There are 5 criteria used which are lowest price, rating, operational hour, facility and the distance from user's location to the restaurant. The result of Black Box testing on the functional requirements is 100% valid. The result of algorithm validation is 100% valid. It was done by comparing the result from the system and the manual calculation. And the result of the usability testing is 75 which categorized as good, grade scale C and acceptable. It means that the application is accepted by the users.
Pengembangan Aplikasi Rekomendasi Musik berdasarkan Detak Jantung pada Platform Android Muhammad Salman Ramadhan; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Music is one of the important aspects of life but there is always a problem regarding choosing the right music for the right occasion. With today's technology growth, there are already so many music players that provide a different kind of music genre so that people can pick the one that fits their taste. Music players also provide recommendations for which music is up to your palette taste but the recommendation is not always right to the occasion we are facing or enjoying right now. The Music Recommendation System based on Heartrate help user to find their music that fits with the context they are in. The development oh this system is to make an android application and using the 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%. Usability testing of this system outcome is 76.5 in value of system usability scale which means it's acceptable. This application can be used to find music that fits a context with the help of heart rate.
Identifikasi Tingkat Stress Pada Manusia Menggunakan Metode K-NN (K-Nearest Neighbour) Vicky Robi Wirayudha; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stress is a condition caused by interactions between individuals and the environment, giving rise to the perception of demands that originate from situations in a person's biological, psychological and social systems. The field of object classification research has been carried out, making it possible to create technology in the field of object classification with high accuracy. There are many objects classification methods, in this study mainly discuss the K-NN (K-Nearest Neighbor) method. Research on each variable in the K-NN algorithm to determine the best variable in classification. This study will examine the patient who is experiencing stress can be helped to identify the level of stress themselves by answering a series of questionnaires about the symptoms experienced. The accuracy testing is performed using the K-NN algorithm, that k and training data that are different each other including k= 5,8,10,15 and training data of 8,18,38,50 respectively on a patient dataset with symptoms and its weight . This research resulted a patient diagnosis and K-NN maximum accuracy of 82%
Pengembangan Aplikasi Android Rekomendasi Tempat Wisata di Malang Raya dengan Group Decision Support System dan Location-Based Service David Hosea Sipahutar; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang Raya is known as a choice of famous tourist destinations in Indonesia. This can be seen from the increase in tourists visiting this area from 2016 to 2018. This increase originated from the growth of tourist attractions with the theme of natural tourism, heritage, and also food. Therefore, a system is needed, in this case, an application, as a tourist reference in Malang Raya. In 2019, two similar studies were carried out by Jodie Rizky Hidayat in Batu City and Ricky Irfandy in the Malang area. Their approach to recommendations is through individual input. In this study, the application focuses on a group recommendation approach. Therefore, this study uses the Group Decision Support System theory. The value of the recommendation obtained from the use of the TOPSIS-Borda theory. After implementing the application, the application is tested with three tests. The test is carried out by using the white-box and black-box methods, testing the algorithm manual, and testing it in terms of usability. From these tests, it was found that the application runs according to specifications with a valid value of 100%, and the algorithm runs according to manual calculations. From usability testing, it is known that the application can be accepted by users with a score of 72.5.
Pengembangan Aplikasi Android Rekomendasi Lapangan Badminton di Kota Malang dengan Group Decision Support System (GDSS) dan Location Based Service (LBS) Chrysler Imanuel; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Badminton is one of the most famous sports in Indonesia. Badminton is a type of sport that is played by hitting a shuttlecock using a racket until it goes beyond a jarring or net that is stretched in the middle of the field. When choosing a badminton court to rent it is usually done with a group people playing. Therefore, this study aims to develop a badminton court recommendation application in Malang city by using a Group Decision Support System (GDSS) that can provide recommendations for a group of users. This application was built for the Android operating system. To get the results of group recommendations the TOPSIS and Borda algorithms are used. The application will display a list of badminton fields in Malang along with detailed information and location of the field. The application also applies the Location Based Service (LBS) method, which is marked by the availability of directions feature, so users can easily search for the route to the desired badminton field using the help of the Google Maps application. There are 3 criteria used in the application, namely price, distance and number of fields. Testing the functional requirements with the blackbox method obtained 100% results. The results of testing the comparison of system output with manual calculations obtained 100% valid results. Usability testing using SUS obtained an average value of 80 with Grade Scale getting a B value and Adjective Rating getting a Good value.
Pengembangan Aplikasi Android Rekomendasi Gym di Kota Malang dengan Group Decision Support System dan Location Based Service Muhammad Aufa Athallah; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Gym, also known as a gymnasium, is a closed location for people who want to maintain fitness. The number of students and residents in Malang city is the ideal place to open a gym. However, many gym locations in the city of Malang make students and citizens confused to choose the location of the gym they want to rent. Ignasius Tri has developed an application to provide recommendations for gym locations. The application is abIe to provide gym recommendations based on weight values ​​from distance, price, and rating criteria given by the user. However, the problem is that the application is onIy abIe to accept input from one user and visiting the gym is sometimes done in groups. Development of a gym recommendation android application in Malang was developed with an Android-based Group Decision Support System and Location Based Services with TOPSIS (Technique for Order Preference by SimiIarity to ldeaI SoIution) and Borda algorithms with criteria in the form distance between the user and gym location, rental prices, and rating. Data is stored in Google firebase. Based on the tests carried out, the results from the Blackbox application test are worth 100% and the functionality is declared valid. The algorithm's viladation testing yields the same 100% value. The usability test yields a value of 79.5 indicating a Good rating for the adjective rating and a grade C grade on the percentile rank.
Pengembangan Game "Days With Suroboyo Bus" Sebagai Media Pengenalan Transportasi Suroboyo Bus Gede Satria Harinamanata; Issa Arwani; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The plastic waste problem becomes a threat to wildlife in the world. Surabaya City Government launched the Suroboyo Bus program that uses used bottles and plastic cups as a means of payment to tackle the problem of plastic waste for the environment. Public awareness is needed to increase the effectiveness of this program, one of which is through video games. The game "Days with Suroboyo Bus" was developed using the Design Framework, Dynamics, Experience (DDE), a framework developed from the Mechanics, Design, Aesthetics (MDA) framework. Development begins with determining the design of the game, followed by the implementation of the design that will create the dynamics of the game, and creating experiences for the players who play it. Its development calculates playtesting by using the Gameplay Scale and Appeal Scale. Gameplay Scale test results on the game "Days with Suroboyo Bus" showed Affective Experience (75.71428571%), Focus (71.58730159%), and Usability Barrier (75.71428571%) had good values. While the Playability Barrier (70.85714286) has a Slightly Good value. Test scale on the game "Days with Suroboyo Bus" has a pleasant result (74.28571429), good (80), aesthetic (75.71428571), a little evocative (70), interesting (75.71428571), easy to motivate to play (57.14285714), desirable (67.14285714) ) and tend to be happy (64.28571429).
Sistem Rekomendasi Lokasi Lapangan Futsal Berbasis Android Dengan GDSS dan LBS Jermias Kristian; Ratih Kartika Dewi; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Futsal is a fitness sport that is carried out by two groups, each group consisting of five players, including one goalkeeper. Due to futsal sports that cannot be done alone, a common problem that is often encountered when you want to play futsal is the selection of the field where there are often differences in opinion between each player based on the tastes or preferences of the participating players. Differences in futsal field preferences for players can be obtained based on differences in price and distance, as an example. The purpose of this futsal field recommendation system is to combine the preferences of the players into one group recommendation, utilizing the TOPSIS and Borda decision support systems, the author succeeded in creating the application. The futsal field recommendation application is built on the Android operating system on the grounds that the use of Android alone reaches more than 90% in Indonesia, and 70% worldwide. The application is also built with LBS by utilizing GPS sensors so that the application is able to calculate the route between the user's current position and the position of the field that you want to go to. The results of this study were tested using algorithm validation testing to match the application output value with manual calculations, then blackbox testing which also gave 100% valid results for each test and also the SUS (System Usability Scale) survey where the author got 84.8% or B results for SUS testing.
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