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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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Evaluasi User Experience dengan Mengadaptasi meCUE Questionnaire pada Aplikasi KAI Access dan Aplikasi Tiket.com Dea Annisa Larasati; Hanifah Muslimah Az-Zahra; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Kereta Api Indonesia (Persero) as one of the rail transportation service providers has KAI Access application for rail ticket bookings. One of the other train ticket purchase providers is the Tiket.com application. Users of these two applications still often encounter problems while using the app. One important aspect to be considered in developing a mobile application is user experience. This study aimed to find out the results of user experience evaluation found in both applications based on user experience using the meCUE questionnaire. meCUE questionnaire has 4 modules, Module I (product perceptions), Module II (user emotions), Module III (consequences of use) and Module IV (overall evaluation) and has a total of 34 statement items. This study first translated the meCUE questionnaire and then tested its validity and reliability. After obtaining valid and reliable questionnaire results, this questionnaire was distributed to 45 respondents who have used KAI Access application and Tiket.com application. Furthermore, the results of this questionnaire distribution will be processed into calculations on the meCUE questionnaire so that the UX evaluation results are obtained. The results obtained are KAI Access applications have the highest results on the usability indicator (5.75) and the lowest average value in the negative emotions indicator. The Ticket.com application has the highest yield on the usability indicator (5.25) and the lowest average score on the negative emotions indicator. The overall result of the average assessment for the Access KAI application is 3.8 and for the Tiket.com application is 3.3.
Sistem Pendukung Keputusan Penentuan Kelayakan Pembangunan Crane Menggunakan Metode Analytic Hierarchy Process - Technique For Order Preference By Similarity To Ideal Solution (AHP-TOPSIS) [Studi Kasus PT. MHE DEMAG, Surabaya] Fendra Gunawan; Imam Cholissodin; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the construction of the project in the transfer of objects that can not be moved by humans, a transporter is needed, one of which is a crane. Problems with PT. MHE-Demag, Surabaya in determining the initial feasibility of crane construction is the effectiveness and efficiency of time. The solution to the problem requires an application that can process data into a decision support system that is useful to provide the right decision in determining the feasibility of crane construction. The AHP-TOPSIS method was chosen because the method was able to select the best alternative from the alternative determination of the existing crane. The test used is by performing a pairwise comparison matrix to obtain priority weight for each criterion, the right hierarchy, and the ideal amount of data. The results obtained with the combination of values ​​in pairwise comparison matrix and application of Level 1 hierarchy match obtained the value of λmax = 7.53058 CI = 0.08843, CR = 0.067 resulted in a matching level of 92%. The ideal amount of data in this study is to obtain high accuracy values ​​using 10 to 20 data.
Diagnosis Penyakit Kelamin Laki-Laki Menggunakan Metode Bayesian Network Yori Tri Cuswantoro; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Venereal disease is a disease that attacks the male and female genital organs that are usually transmitted through sex or oral sex. In Indonesia, the most common sexually transmitted diseases are syphilis and gonorrhea, the prevalence of sexually transmitted diseases in Indonesia is very high, in Jakarta the prevalence of gonorrhea is 29.8%, syphilis 25.2% and chlamydia 22.7%. Everyone can get a sexually transmitted disease. The tendency of increasing the spread of this disease is caused by the sexual behavior of multiple partners, and the existence of a high premarital sexual relationship. Bayesian Network is a simple Probabilistic Graphical Model (PGM) built from probabilistic theory and graph theory. The variables needed in this study are symptoms of male genital disease. After the symptoms are entered, it will be processed by the Bayesian Network. The result of the bayesian network is the diagnosis of male genital disease. The accuracy obtained from the test results is 88.57%.
Prediksi Jumlah Permintaan Semen Menggunakan Jaringan Syaraf Tiruan Backpropagation Mahendro Agni Giri Pawoko; Imam Cholissodin; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cement is an important material in the development process. Cement production in Indonesia is quite high compared to the amount of consumption. This condition results in oversupply, a condition where the amount of production is greater than the amount of consumption. This resulted in falling cement prices and warehouse full of cement that has not been sold. This makes the Indonesian Cement Association (ASI) to issue its regulation to temporary stop producting cement. This study aims to predict the amount of cement demand in the next time so that regulations can be issued more quickly, so the factory can adjust its production capacity without having to stop production. Many methods can be used to make predictions, for example is Backpropagation Neural Network which is proven to provide good results in predicting, such as predicting the amount of newspaper demand and sugar production. This research uses Backpropagation Neural Network with network architecture of 6 input neurons, 4 hidden neurons and 1 output neuron. The best parameters used are the learning rate of 0.8, the maximum iteration of 200 and the initial weight interval between -1,4 to 1,4. The MSE best predictive value is 0.049064.
Optimasi Komposisi Pakan Ternak Sapi Menggunakan Algoritme Genetika - Simulated Annealing Akhmad Syururi; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Beef consumption in Indonesia keeps increasing, but the increase has not been balanced with the addition of an adequate production. The rate of population increase beef cattle is relatively slow, 4.23% in 2007. The productivity of the livestock affected by the feed factors, management and breeding. The problem often encountered breeders is the availability of feed, which feed given to livestock contain nutrients that are low so will affect the availability of feed and digestibility of nutrients that impact low produkt ivitas cattle. Based on cases occurs, then the system is built on this research is "beef cattle feed composition optimization using genetic algorithm and simulated annealing". Methods used in beef cattle feed composition optimization on this system using a genetic algorithm and simulated annealing. The purpose of merging algorithm and genetic simulated annealing (SA) is to make use of the advantages of simulated annealing that are able to survive are facing local optimum and the search process which is controlled by the temperature to be used in cover lack of genetic algorithms. The results of the testing that has been done progressively smaller values popsize and iterations, the greater the value of tn and t0 then the more likely genetic algorithm and simulated annealing to get better results than the algorithm Genetics alone, otherwise the larger value of popsize and iterations, the smaller value of tn and t0 the small possibility of genetic algorithm and simulated annealing for getting better results., genetic algorithm, simulated annealing
Sistem Diagnosis Penyakit Antraknosa Pada Cabai Menggunakan Metode Fuzzy Tsukamoto Ganda Adi Khotarto; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Red chili pepper (Capsicum annum l.) is one of the many vegetable commodities consumed by the people of Indonesia, both as a food and flavoring the fulfillment of nutrition. Chilli needs in Indonesia from year to year has increased steadily. However, up to this time chili production in Indonesia is still not able to satisfy the needs of the community. This is because the fluctuating production with low productivity belong. loss can achieve 40-50%. Directorate General of Horticulture mentions that in the year 2012, the level of damages to crops of chili in Indonesia caused by pests and diseases reach 35%. Tsukamoto Fuzzy method is a method that has a tolerance on the data and very flexible. The advantages of the method are namely Tsukamoto is intuitive and can give feedback based on information that is not accurate, qualitative, and ambiguous. The required variable in this study are antraknosa symptoms on chili. The accuracy of the test results was 88.33%.
Implementasi Metode Fuzzy K-Nearest Neighbor Untuk Identifikasi Cedera Pada Pemain Futsal Rizki Wulyono Propana Sodiq; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The injury is common place occurs in a sports game. The risk of injury is a State when the individual risk hazards due to perceptual deficit gets or physiological, lack of awareness about the dangers, or old age. Injuries that are often experienced by invistasi futsal futsal players between HIGH SCHOOL/Central Java-se Equal the year 2013, namely the head injuries that often occur in the eyes of 31.8%, upper limb injuries often occur at the wrist, 33 3%, a lower limb injury often occurs in the knee injury to 36% and togok an injury often occurs at the waist 65.38%. Being the overall percentage of injuries that happen on most body limbs down 47.18%, especially on the knees of 36%. Fuzzy K-NN classification is a method that combines technique with fuzzy K-Nearest Neighbor Classifier. Algorithms of Fuzzy K-Nearest Neighbor gives value to the membership class on test data rather than putting test data on a particular class. FK-NN classification is a method used to predict the test data using the value of the degrees of membership test data on each class. The required variable in this study was injury symptoms. Highest accuracy of the test results is when K = 5 the value of 94,29%.
Rekomendasi Pemilihan Burung Menggunakan Metode Simple Additive Weighting (SAW) dan Technique Order Preference by Similarity To Ideal Solution (TOPSIS) Rizal Rudiantoro; Imam Cholisoddin; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The melodious bird is in great demand for a group of animal lovers, for a group of bird lovers the price of birds can reach an expensive price for one type of bird that has a sweet voice. In social media, there are so many singing bird sellers that promote various kinds of singing birds. Many of Indonesian people have been moved from offline birds market to social media to buy birds because it's easier to choose the type and price of birds. This research makes a system which able to find the criteria for singing bird recommendation that appropriate to the bird lovers. To implement a singing bird recommendation system there is a need for a method to find the best, accurate, and precise recommendation. This system uses Simple Addictive Weighting (SAW) and Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method. This system has been tested trough Spearman Correlation get significant results from 3 kinds of birds e.g Green Lovebird: 6,34, Green Cucak 4,92, Kacer: 5, 80 with value α=1,96. The final result from this system recommends the first rank bird based on the highest preference score.
Diagnosis Penyakit Tanaman Cabai Menggunakan Metode Modified K-Nearest Neighbor (MKNN) (Studi Kasus: BPTP Karang Ploso Malang) Hadi Dwi Abdullah Hamid; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Red chili is one of the most important vegetables in Indonesia, whether it is as a commodity that is consumed domestically and as an export commodity. As vegetables, beside red chili has a high nutritional value, it also has a high economic value. However, the productivity of national red chilli is still very low at 7.34 tons / ha, whereas the actual yield can potentially reach 12 tons / ha. In a planting period, chili can be harvested several times. If the season and the treatment is very good, chili can be harvested 15-17 times but generally, it can be harvested only 10-12 times. The low productivity of chili can be caused by a variety of factors, including poor quality of chili seeds, decreasing soil fertility, bad implementation of cultivation techniques, plant pest and disease problems. In order to handle this, technology is needed by applying one of the classification methods, namely Modified K-Nearest Neighbor (MKNN). Modified K-Nearest Neighbor (MKNN) is the development of the KNN method that has been designed to overcome the weaknesses of the distance between data and weight in the KNN. The method analysis is based on 18 symptoms of the disease with the process of calculating euclidean distance, calculating the validity and calculation of wighted voting which result in the determination of the classification class based on the specified K value. The test results showed that when using the value K = 5 produces an accuracy of 94%, then K = 8 produces an accuracy of 92%, K = 11 produces an accuracy of 88% and testing K = 14 produces an accuracy of 88%. Based on the results obtained, the Modified K-Nearest Neighbor (MKNN) method showed good accuracy for classifying chili disease.
Implementasi Algoritma Topsis Pada Sistem Rekomendasi Pencarian Lokasi Gym Berbasis Android (Studi Kasus: Kota Malang) Ignasius Try Sevandri; Ratih Kartika Dewi; Mahardeka Tri Ananta
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

Muscle fitness is an important thing that cannot be separated from people's lives. Gym places are things that are commonly found in several major cities in Indonesia, especially in Malang City. To be able to practice fitness every time, many people register to become members at the gym, even though only occasionally come to the gym when the time is free. Consumers as customers will choose the factors considered to go to the gym. Consideration factors such as price, location, and people's reviews that can be measured through rating are important in finding the right gym. Based on the importance of finding a suitable gym for community needs, a recommendation system for gyms in Malang City is based on native Android, so it can be a consideration for users in choosing a gym in Malang. Researchers develop mobile-based applications due to several considerations, namely, when choosing a gym, there are distance criteria that have Latitude & Longitude data that can be accessed by GPS in the mobile application. This system was developed using the TOPSIS method. TOPSIS method is suitable for use in the development of research because this method has a low complexity of algorithms so that it is suitable to be applied to mobile applications. The results of the study were the percentage value of the functionality of 100%, the validation test of the validation between manual calculations and the calculation system gets a percentage value of 100% and rank consistency testing for addition and reduction of criteria gets a percentage value of 100%.
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