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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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Klasifikasi Penyakit Kelamin Pada Wanita Dengan Menggunakan Kombinasi Metode K-Nearest Neighbor Dan Naive Bayes Classifier Dimas Angga Nazaruddin; Fitra Abdurrachman Bachtiar; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Venereal or Sexually Transmitted Disease (STD) are still a public health problem in developed and developing countries. Expert stated that health problems caused by venereal disease are higher in women. symptoms experienced have similarities between one and other venereal disease. Lack of knowledge possessed by patients can cause more severe. Therefore, to reduce the level of problems in self-examination, research is needed to classifying female veneral disease to find out the types of infectious diseases. Various methods can be used in classification. including using K-Nearest Neighbor (KNN) and Naive Bayes Classifier. The combination of these two methods has advantages that include no need to discretize more on continuous variables. So that in this study the KNN and Naive Bayes Classifier method will be combined to classify venereal diseases, especially for women because both of these methods have a high degree of accuracy in studying a disease so it is expected to predict probabilities based on testing data. In this study the accuracy test of the combination of the K-Nearest Neighbor and Naive Bayes Classifier methods was 97.5% using an average accuracy and 99.17% using the confusion matrix for the nearest number of neighbors as K = 5.
Implementasi Topsis Pada Sistem Rekomendasi Tempat Wisata Pantai Di Sekitar Malang Berbasis Lokasi Muhamad Hilmi Hibatullah; Ratih Kartika Dewi; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The tourism sector in Indonesia currently considered to be an effective role in increasing the country's foreign exchange. In 2016, the tourism sector was the second largest constributor to foreign exchange in the amount of USD12.5 billion. Malang is one of the areas that have a lot of potential tourism object. Beach tourism in Malang is a lot where it is cause visitors confused to choose the beach to be visited. This research propose to make a beach recommendation system around Malang by applying the Technique For Order Preference by Similiarity to Ideal Solution (TOPSIS) method. The TOPSIS method was chosen because TOPSIS was able to do the selected alternative ranking, where the selected alternative had the closest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The criteria used in this system are distance, cost, rating, facilities and transportation. System functional testing shows that 100% of the functionality is valid. Furthermore, testing the validation of the algorithm, obtained the results 100% of similarities between the system output and manual calculation. While rank consistency testing obtained results that show that the TOPSIS method has a good level of consistency when implemented on the beach recommendation system
Sistem Diagnosis Penyakit Tanaman Mangga Menggunakan Metode Bayesian Network Asep Ardi Herdiyanto; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diagnosis system app for mango disease is an application that aims the farmers community, especially for the mango farmers so that symptoms can be handled early. This system is built based on the problems that occur in the community, namely the difficulty in recognizing pests and diseases of mango plants. Because mango pests and diseases have quite a number of symptoms and there are similarities in symptoms that some diseases have. This is one of the causes of reduced productivity levels of mango plants in Indonesia, recorded from the 2015 Central Bureau of Statistics research that the national harvest decreased by 252 thousand tons with the total number of 2,178 thousand tons in 2015. However, in 2014 there were 2,431 million tons. The Bayesian Network method was chosen in this study because Bayesian Network includes all features in the training data, thus making this method optimal in carrying out the calculation process. This system uses the Android operating system, because Android is quite even and popular in the Indonesian smartphone market until now. The data used in this study were obtained from lecturers at the Faculty of Agriculture, Brawijaya University, Malang. The results of this study indicate that, in testing the accuracy of 32 test data get an accuracy rate of 87.5%.
Implementasi TOPSIS Pada Sistem Rekomendasi Tempat Latihan Bela Diri Di Kota Malang Berbasis Lokasi Ade Armawi Paypas; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are various types of martial arts that exist in the world, including silat from Indonesia, kung fu from China, and karate from Japan. Because of the many types of martial arts, with the growing age, more and more martial arts training centers are scattered throughout the world. But with so many martial arts places, sometimes people don't know which is better. With this application, users can get recommendations for martial arts training sites based on GPS-based locations. The recommendation system for the place of self-defense training is designed using the TOPSIS method with data criteria in the form of distance between users and practice sites, training costs in 1 month, and the amount of training time in 1 week, and implemented on the android platform. The results of this blackbox test show that 100% of the functionality is valid. Other tests carried out are testing the validation of algorithms, where testing is done by comparing the results of the system with manual calculations. The results of system calculations and manual calculations are 100% the same, and rank consistency testing, where testing is carried out to determine the consistency of the recommendations when the number of criteria is added or reduced. The rank consistency test results show that the ranking results are consistent when the criteria are added, and will change when the number of criteria is reduced.
Sistem Diagnosis Penyakit Tumbuhan Mangga Menggunakan Metode Naive Bayes Mochammad Taufiqi Effendi; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mango productivity can compete with the rapid local and export markets which are opportunities for Indonesian farmers, but farmers must increase the yield of mangoes to increase marketing competitiveness due to the various inhibiting aspects including diseases. In the Mango Plant Diagnosis System Using the Naive Bayes Method aimed to assist farmers in overcoming the problem of diagnosing mango plant diseases. This system wad built based on the problems that occurred in farmers, namely the difficulty in recognizing the types of mango plants, due to the many similarities in the symptoms of mango plant diseases. Mangoes have long been felt by farmers causing the deflation of mangoes' crop yields. In 2015 a decrease of 10.39 percent from 2014 was 2.43 million tons to 2.17 million tons. Naive Bayes method which selected in this study was a method used to predict probability. This system was used on Android systems, because it was quite efficient and popular among the public. The results of testing this study indicate that, in testing the accuracy of 30 test data get an accuracy rate of 87.5%.
Sistem Diagnosis Penyakit Tanaman Kentang Menggunakan Metode K-Nearest Neighbor Syndu Pramanda Galuh Widestra; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Potato is one of the potential plant to be grown by people. The production and productivity of potato in indonesia decreases each year. Badan Pusat Statistik (BPS) takes a note of the potato production in Indonesia and it is getting reduction of 9.82% from 1.176.304 ton in 2009 to 1.060.805 ton in 2010. The potato productivity also decreases from 16.51 t/ha in 2009 to 15.95 t/ha in 2010. The problem which causes its decreasing productivity is pest attacks and disease, so it needs a system which can help to diagnose it since early time from the pest attacks and the diseases of potato. Method which can be applied to solve the problem in diagnosing the disease as well as doing the prediction is by using K-nearest neighbor (kNN). Based on the functional testing, the disease diagnosis system in potato plants works well according to the design requirements and successfully implemented in the form of a software. In this study, the number of K have little effect on the accuracy, because after being tested, it turns out that the more the k value does not guarantee its accuracy, and vice versa. The K-nearest neighbor method is good for the diagnosis of potato plants because it produces result an average accuracy of 91.785%.
Implementasi TOPSIS Pada Sistem Rekomendasi Pemilihan Lapangan Tenis Di Malang Berbasis Lokasi Heru Budiyanto; Ratih Kartika Dewi; Sutrisno Sutrisno
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

Many people, especially in Malang city, like to play sports in tennis courts, so more tennis courts are spread out in Malang. However, with so many places in the tennis court, sometimes many people do not know which one is better for training. Seeing this problem, the researchers built a recommendation system for tennis courts in Malang. This system was developed using the Android-based native mobile development model so that it can be reached by many people. With this application, the community can get recommendations on suitable tennis courts based on their location using GPS. The recommendation system for the tennis court was designed using the TOPSIS method with 3 criteria data, namely the distance from the user's location using haversine calculations, tennis court prices per hour, and rating. The results of functional testing, the system built has fulfilled the functional requirements with a 100% valid value, Testing the algorithm validation between manual calculations and system calculations shows a 100% match in the form of alternative sequences and the value of each alternative, and Rank Consistency Testing by reducing and the addition of criteria is 2 criteria and 4 criteria compared to the initial criteria to get a consistent ranking result.
Implementasi TOPSIS pada Sistem Rekomendasi Tempat Pembelian Sayuran Organik di Malang Berbasis Lokasi Usman Adi Nugroho; Ratih Kartika Dewi; Marji Marji
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

In Malang City, organic vegetables can be found in various places such as supermarkets, organic vegetable stores, and farmer groups. Prices and types of vegetables differ from one place to another. Due to many places that sell organic vegetables, people are confused to determine organic vegetable stores. To solve this matter, the researcher built a recommendation system for organic vegetable shop in Malang based on location. The system is built in the form of an android application because many people have used an android device, and an android device has a GPS (Global Positioning System) sensor that can be used to find out the location of an android user. In determining the place of recommendation, the system uses the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method with four criteria, namely, distance, price, variety of vegetables, and rating. Based on black box testing, the result shows that the system has 100% valid functionality. In testing algorithm validation, a matching between the manual calculation of the TOPSIS method and the results of the system has been done, and the results are the system 100% compatible with manual calculations. The last test is rank consistency by comparing the recommendations from 5 alternative and the recommendation from 6 alternative. The results of rank consistency testing show that the implementation of the TOPSIS method on the recommendation system for organic vegetable shop in Malang has consistent results.
Implementasi TOPSIS Pada Sistem Rekomendasi Kafe di Kota Malang Berbasis Lokasi Wiandono Saputro; Ratih Kartika Dewi; Candra Dewi
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

In Malang, there are at least 400 cafes and restaurants that college students can visit. A large number of cafes available creates its own problems for college students while looking for a gathering place for refreshing or doing a final assignment, which is choosing which cafe to visit. There are several factors that determine the choice of a cafe such as rating, distance, price, and facilities. To solve this problem, we need a system that can provide cafe recommendations to its users based on the location and the criteria of the cafe they are looking for, also provides information such as prices, menus, coffee beans, brewing methods and directions to the cafe. The cafe recommendation system developed using the TOPSIS. The TOPSIS method is used to generate alternative of cafe based on the concept that the best alternative is not only the the alternative with the shortest distance from the positive ideal solution but also with the farthest distance from the negative ideal solution. Alternative data is stored using the Firebase Realtime Database database service, and directions are given using third-party applications, namely Google Maps. From the testing the system obtained 100% valid on functional testing, 100% valid in the validation of algorithm that compares the system output with manual calculation, and the absence of ranking reversal on rank consistency testing which is done by adding new alternatives, and testing usability based on usefulness, ease of use, ease of learning, and satisfaction which give results in a percentage of 80.55%.
Pembangunan Portal Informasi Political References sebagai Media Sosialisasi dan Interaksi Masyarakat dengan Calon Legislatif Mohammad Arda Dwi Ardianto; Herman Tolle; Ratih Kartika Dewi
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

Partisipasi masyarakat dalam dunia politik merupakan kegiatan sukarela dari warga masyarakat dimana mereka mengambil bagian dalam proses pemilihan pemimpin ataupun wakilnya. Didapatkan fakta bahwa tingkat kepercayaan publik terhadap DPR sangat rendah dimana sebanyak 82 persen responden tidak percaya pada DPR baik dari kalangan kelas bawah maupun kelas atas, kandidat calon legislatif juga tidak optimal karena lebih kepada sosialisasi sosok atau figur daripada ideologi dan program kerja mereka. Pada era digital seperti pada saat ini internet dijadikan salah satu media yang berperan besar dalam proses kampanye untuk menjaring massa dalam pemilu. Hal tersebut menjadi trend tersendiri dalam pelaksanaan pemilu. Selain itu proses penyampaian gagasan dari para calon anggota legislatif ke masyarakat dapat dilakukan dengan baik melalui media web maupun media sosial termasuk facebook. Untuk mengatasi permasalahan tersebut penulis melakukan pembangunan Portal Informasi Political References yang memuat visi dan misi, program kerja, riwayat pendidikan, pekerjaan, organisasi ,rekam jejak digital serta pendapat masyarakat dengan memberikan rate, upvote dan komentar pada setiap halaman profil calon anggota legislatif sehingga dapat lebih diketahui track record nya dengan menerapkan metode prototyping serta menggunakan framework Laravel dan Semantic UI. Dari hasil penelitian didapatkan nilai usabilitas sebesar 81,5 yang menunjukkan bahwa sistem sudah masuk predikat B untuk tingkat Grade Scale dan Acceptable untuk tingkat Acceptability Ranges sehingga sudah dapat diterima dengan baik oleh pengguna dan mudah untuk digunakan. Community participation in politics is a voluntary activity of community members where they take part in the process of selecting leaders or representatives. It was found that the level of public trust in the DPR was very low, where as many as 82 percent of respondents did not believe in the DPR both from the lower classes and the upper class society, candidates were not optimal because they were more concerned with socializing their figures than their ideology and work programs. In the digital era, as at this time the internet was used as one of the media that played a major role in the campaign process to capture the masses in elections. This has become a distinct trend in the elections. In addition, the process of delivery ideas from legislative candidates to the community can be done well through web and social media including Facebook. To overcome this problem the author constructs the Political References Information Portal which contains the vision and mission, work program, history of education, employment, organization, digital track record and community opinion by giving rates, upvotes and comments on each profile page of legislative candidates so more track record can be known, by applying the prototyping method using Laravel and Semantic UI framework. From the results of the study, it was found that the usability value was 81.5 which indicates that the system has got predicate B for the Grade Scale and Acceptable level for the Acceptability Ranges so its indicates that the system can be well received by the user and easy to use
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