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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 Sistem Rekomendasi Tempat Pembelian Makanan Korea Berbasis Android dengan TOPSIS dan LBS (Studi Kasus: Kota Malang) Desy Diandra Bestari; Ratih Kartika Dewi; Mahardeka Tri Ananta
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The existence of Korean food stands in Malang cannot be considered having a small number. Based on the results of a survey on people who have visited Korean restaurants in Malang, half of the participants faced some difficulties when it comes to determining which places they will visit due to many options. Moreover, the names of recommended restaurants emerged from browsing through search engines did not really sit well with the criteria. This study aims to create a recommendation system for Korean food stands based on Android by applying the TOPSIS algorithm and LBS technology. The criteria used in this application consists of price, number of menus, duration of opening hours, number of seats, and location distance. This system will display a list of recommendations of Korean food stands along with the information and locations of the seller in the form of maps. The results of functional validation test using the blackbox testing method obtain 100% valid results for all functional requirements. For the results of testing validation of the algorithm by comparing the results of the system output with manual calculations obtain 100% valid result. Then, average score of usability testing obtain 74,5 which means the application is in acceptable category, C category and good category. Therefore, the result of compatibility testing show application can work well in all of testing devices.
Rancang Bangun Sistem Rekomendasi Tempat Kuliner Khas Malang Berbasis Lokasi Iqbal Santoso Putra; Ratih Kartika Dewi; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang is a place in Indonesia that has a variety of unique culinary. This causing the appearance of places that sell unique culinary and only took place at Malang. However, none of the systems nowadays provide to give the recommendation of unique culinary places that using other criteria aside from using the nearest range. Therefore, we initiating to build a system that gives a recommendation of Malang unique culinary places using more criteria based on location. The system is designed for using TOPSIS to deciding which place will become the best recommendation for the user using four criteria. They are : the nearest range, the cheapest price, the highest rating, and the oldest age. The system will be implemented in the Android application using RESTful web service as data exchange. The test result over the system shows that the system has been implemented using functionals that corresponding with the functionals from the system requirement. TOPSIS algorithm that applied in the system has been stated as valid based on the result of the manual calculation has the same result as the result from the by-system calculation. The test result also stated that the system has been succeeded to approach an A grade with an average score of 81.00. Therefore the system is acceptable for the user.
Implementasi Metode TOPSIS pada Sistem Rekomendasi Tempat Wisata Belanja di Kota Malang Berbasis Lokasi Muhammad Robby Dharmawan; Ratih Kartika Dewi; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The tourism sector is an industry that is favored by countries in the world. In 2017 foreign tourist visits coming to Indonesia amounted to 14 million visits which increased by 20% compared to 2016 which reached 11 million visits. In traveling, tourists tend to do shopping so that shopping tourism locations appear. Malang City is a city located in East Java province which has a variety of various tourist locations to be visited including shopping attractions. The number of shopping attractions in the city of Malang often makes tourists confused to have a shopping destination. At present, information about shopping places in Malang is still using the web which cannot provide recommendations to tourists. This study offers a recommendation system for shopping tourism in Malang that uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method because the best alternative results are alternative ranking which has the closest distance from the distance of the positive ideal solution and farthest distance is the ideal negative solution by using criteria such as rating, number of reviews, operational time, and distance. Functional testing on the system results in 100% validity. Non-functional testing on the system uses algorithm validation and usability. From the algorithm validation test, the results of the system output comparison with manual calculations have a validity of 100%. From usability testing by distributing 30 questionnaires with 25 questions, the end user satisfaction rate was 88.47%.
Rancang Bangun Sistem Rekomendasi Jogging Track Di Kota Malang Berbasis Lokasi Zulfikar Faras Fadila; Ratih Kartika Dewi; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Jogging is one of the cheapest sports, it doesn't even need more costs so it becomes the choice of people as a regular exercise. In the city of Malang, there are many jogging track facilities and various and adequate jogging places, some of which are not widely known by the public. There are also separate preferences and also factors when someone chooses a comfortable open space for exercise activities, namely jogging. This can cause a separate problem, for someone to choose a comfortable place according to their preferences when they wanna do jogging. The preference factors mentioned are such as track length, distance of place, and rating of the place. To solve this problem a system is needed which can recommend jogging tracks to users based on the jogging track criteria user want to find. The jogging track recommendation system was developed using the TOPSIS method. The TOPSIS method used can provide recommendations or rankings from existing alternatives sorted by priority criteria that have been determined from user preferences. The system is implemented on the Android platform because it requires user location data that can be accessed using a GPS sensor on a mobile device. From the test results, the results are 100% valid in testing for system functionality. After that, testing the algorithm validation that gets 100% results by comparing the results of the system output with manual calculations. The last is usability testing, the final score is 81.0 which can be concluded that the system tested at the end user is easy to use and quite useful for the user.
Sistem Rekomendasi Tempat Pembelian Barang Kerajinan Khas Malang Berbasis Android dengan TOPSIS dan LBS Kadek Dwi Aryasa; Ratih Kartika Dewi; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang Regency has a diverse culture and has a variety of cultural and historical attractions that can attract visitors. In addition, Malang Regency also has unique handicrafts that have thick East Java artistic value. But craft players feel a lack of special attention from the government. The lack of attention to craft causes little information about handicrafts in Malang to reach visitors. So we need a media that can provide the right place of purchase recommendations with the desired criteria and easy to do. The recommendation place for Purchases of the Malang handicrafts system is using the Waterfall method, android-based, apply Location-Based-Service to get the user position and using TOPSIS to support the decision making because it has a low time complexity and has a light process. The results of Black Box testing are that the system runs well and convenient with the results of the design. In the validation test, it produces results from the system with manual calculations, TOPSIS produces the same results. Finally, the usability test with the SUS method produces the final value of 76.75 which is in the acceptable category and the Good category.
Implementasi TOPSIS Pada Sistem Rekomendasi Tempat Wisata Dalam Kota Malang Berbasis Lokasi Ricky Irfandi; Ratih Kartika Dewi; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang is the second-largest city in East Java, which is known as the tourism city because it has many interesting tourist destinations. However, many choices of tourist destinations in Malang confuse the tourists about choosing suitable tourism according to their wishes because of the limited funds and time. To overcome this problem, a mobile-based application is needed for decision-making that can provide tourist recommendations, so that tourists are expected to get travel recommendations that match their desired criteria from anywhere and anytime. The system developed based on Android so it can be used by a wide range of users. The system was built using the TOPSIS method to rank tourist recommendations according to the criteria entered by users based on tourist data provided by web services. The system has successfully fulfilled the functional requirements with a valid value of 100% on functional testing. Besides, the validation testing of algorithms which is done by comparing the results of recommendations with manual calculations and the calculation of the system gets a 100% match. And for accuracy testing by experts gets an accuracy value of 83.3%.
Pengembangan Sistem Rekomendasi Rute Gowes di Kota Malang berbasis Android Ahmad Aulia Fahmi; Ratih Kartika Dewi; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cycling has become one of the few favorite sports activities for many city dwellers in Indonesia. Cycling is the activity of pedaling on a bicycle with a certain rhythm. One of the cities with a significant amount of cyclists is Malang City, located in the province of East Java. However, for certain individuals, such as youngsters, have had difficulty finding cycling routes in Malang city. An application that recommends cycling routes is capable of providing cycling routes based on a user's preference.The cycling route recommendation application in Malang city is designed using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method which used criteria such as the distance of a cycling route, traveling time of the route, and difficulty of the terrain and implemented on an Android operating system. The application underwent three testing methods which were blackbox testing, algorithm validation testing and usability testing. Blackbox testing is the process of observing if the system output is the same as the intended output. The results from the blackbox method resulted in a 100% score, which is the equivalent of all functionalities fulfilling expectations. Testing the algorithm validation from testing is intended to compare the results of the system output with manual calculations. Testing the algorithm validation in this study produces a value of 100% or the system output is the same as manual calculation. Whereas the usability is tested thru the system's interface which was tested by users. The usability testing method resulted in a score of 84,5 from a predetermined scale (have grade B) and is equivalent to stating that the system was given a high score by the users.
Implementasi Sistem Rekomendasi Tempat Wisata di Batu berbasis Android dan Location-Based Service menggunakan Metode TOPSIS Jodie Rizky Hidayat; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Batu City located in East Java, Indonesia has become a top travelling destination for travelers to fill their travelling needs. Due to the increasing destination spot options in the city itself, has caused somewhat a problem for travelers to decide on which destination to choose. Entry price and distance are becoming less of a problem for traveler, as other criteria such as access, facilities, and educational experience that the site has to offer are as important for modern travelers. This application is to solve just that, while giving user the ability to receive site recommendations based on the said criteria including a Location-based service to easily guide the user to the chosen destination. The system was designed using a method known as TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) with entry price, distance to the location, access, facilities, and educational experience as the list of criterias used. The system has been implemented on the Android platform. Tests such as blackbox-testing gave a 100% valid result, while algorithm validity also gave a 100% accurate result which was tested by comparing system output and manual calculation. The final test was usability testing which gave a score of 72.5 by using 10 respondents.
Sistem Diagnosis Penyakit Bulai Pada Jagung Menggunakan Metode Fuzzy Tsukamoto Hema Prasetya Antar Nusa; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bulai disease disease that infects of a corn plant and sorghum .Bulai caused by fungi peronosclerospora spp. Bulai disease caused by fungi peronosclerospora spp .Is one of the problems that have frequently afflicted by grower of corn , not only in indonesia but also all over the world. In indonesia bulai disease causing loss of field 50-80 %.Even in south sulawesi, bulai disease can result in loss of the reached 90 %. Climate factors as humidity and air temperature significantly impacted on the development of peronosclerospora spp . Especially on the wetness in over 80 % and temperature 28- 30°C and the existence of dew. But many farmers are still experience crop failure because of the trees did not notice that the trees were infected by bulai or late know if their plants bulai and do not know how to handle bulai .Hence there is a need for the tools to diagnose a disease of plants bulai early. data onBased on the background detailed, in this study author choose a method of fuzzy tsukamoto to build a system in diagnosing disease bulai in corn. uses the fuzzy tsukamoto”. The data used in the application is the data on symptoms of disease of bulai. in cornThe output of application be diagnosis information detected disease bulai in corn or not. The results of the system in the form of output for it easy for users in knowing about of illnesses suffered by the. The fuzzy tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.
Penerapan Metode Jaringan Syaraf Tiruan Untuk Meramalkan Kapasitas Layanan Pada Jasa Perawatan Sepatu (Studi Kasus Sepatu Bersih) Sandy Ikhsan Armita; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Shoe treatment business is a sub business from developing conventional laundry with more complex and specific technic. This kind of business is a new one for the market, because all they know how to treat their shoe is just by washing it regularly. Actually the market potential for this business is promising, because shoe is daily essential for everyone's activity and of course it's part of the appearance to make a better looks. This business was known by the market in the early 2009, it was started by some accounts offering their service on the forum such as Kaskus, till the early 2012 this business has a bigger market due to the education of the people. The technic, tools, and stuff for shoe treatment had to be advance. By the time because of gaining demand of the market, the competition in this business is getting real. There so many business had to close too soon because cant do the strategical business plan, one of it was how to predict the service capacity. Therefore from that problem there is a method that could be useful for predicting the service capacity, using the Artificial Neuron Network method. By counting the process from the backpropagation and looking for the smallest output is 0,01616 of MSE to decide the most accurate number of the prediction.
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