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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sistem Informasi dan Bisnis Cerdas Indonesian Journal of Information System Jurnal Eksplora Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jurnal DISPROTEK Compiler Jurnal ULTIMA InfoSys JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Dharma Bakti Jurnal Sistem Cerdas JMAI (Jurnal Multimedia & Artificial Intelligence) Antivirus : Jurnal Ilmiah Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Informatika Jurnal Sistem Informasi dan Informatika (SIMIKA) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Masyarakat Berdaya dan Inovasi Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal ABM Mengabdi International Journal of Community Service Society: Jurnal Pengabdian Masyarakat Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Journal Of Information System And Artificial Intelligence Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ekonomi, Akutansi dan Manajemen Nusantara AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding International Journal of Informatics Engineering and Computing

Arita Witanti

Universitas Mercu Buana Yogyakarta

Author-ID : 2421920

Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Sistem Pakar Diagnosa Penyakit Diare Pada Balita Dengan Metode Naive Bayes Classifier Eko Hariyanto; Arita Witanti
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 1 No. 2 (2017): Jurnal Multimedia dan Artificial intelligence
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Diare merupakan penyakit yang dianggap lazim diderita oleh anak-anak di usia bawah lima tahun. Kurangnya pengetahuan menggenai penyakit diare menyebabkan salah dalam melakukan penanganan dalam melakukan tindakan penyembuhan diare. Penyakit diare merupakan penyakit yang memerlukan penanganan yang berbeda pada tiap jenis diare yang diderita baik berdasarkan konsentrasi darah dalam tinja, lama waktu diare dan berdasarkan derajat dehidrasi diare. Pada penelitian ini akan dirancang sebuah sistem pakar diagnosa penyakit diare pada balita dengan metode Naive bayes classifier Dimana sistem ini akan memberikan informasi mengenai penyakit diare berdasarkan gejala-gejala dari setiap penyakit yang ada, sehingga dapat membantu masyarakat dalam penagganan diare. Data terdiri dari 50 data kasus yang dibagi menjadi 40 data pembelajaran dan 10 data uji. Data diperoleh dari balita yang terindikasi diare diuji dengan sistem dan divalidasi dengan pakar (dokter). Hasil pengujian akurasi sistem sebesar 100%.

Aplikasi Kamus Bahasa Jawa Ngoko, Jawa Krama, dan Indonesia Berbasis Android Dengan Menggunakan Metode Sequential Search Ibnu Fajar Shiddiq; Arita Witanti
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 2 No. 2 (2018): Jurnal Multimedia & Artificial Intelligence
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Proses pencarian kata kamus berupa buku dapat memakan waktu yang cukup lama karena proses pencariannya secara manual. Sehingga perlu dibuat suatu aplikasi, salah satunya yaitu aplikasi kamus digital yang dapat mempermudah dalam pencarian kata dan tidak perlu mengeluarkan biaya tambahan untuk membeli kamus.Penelitian ini bertujuan untuk membuat aplikasi kamus tiga bahasa yaitu bahasa Jawa Ngoko, Jawa Krama dan Indonesia berbasis Android dengan menggunakan metode Sequential Search, dimana metode pencarian ini dengan cara pengurutan dari index awal hingga data yang ditemukan. Dalam penelitian ini menggunakan perangkat lunak Eclipse sebagai perangkat lunak pembuatan aplikasi dan SQLite sebagai media penyimpanan data kamus.Adapun hasil dari penelitian ini yaitu berupa aplikasi kamus Bahasa Jawa Ngoko, Jawa Krama, dan Indonesia dengan menggunakan metode Sequential Search. Dalam metode ini mampu melakukan pencarian kurang-lebih 2730 kata dan tingkat keakuratan setiap pencarian 100%. Dalam proses pencarian data yang dapat membantu pengguna dalam memahami dan mempelajari bahasa Jawa - Indonesia ini memerlukan rata-rata 0.5 detik setiap pencariannya.

Sistem Pakar Diagnosa Penyakit Infeksi Saluran Pernafasan Akut Pada Anak Menggunakan Teorema Bayes: Sistem Pakar Diagnosa Penyakit Infeksi Saluran Pernafasan Akut Pada Anak Menggunakan Teorema Bayes Bangkit Sasangka; Arita Witanti
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 3 No. 2 (2019): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Acute Respiratory Infection (ARI) is the main cause of morbidity and morality of infectious diseases in children. ARI mainly occurs in countries with low and middle income per capita including Indonesia. At present there are still many parents who do not know about diseases, especially ARI, that afflict their baby. In this study, the Bayes Theorem method was used. Bayes theorem is the theorem used in statistics to calculate the probability of a hypothesis. For the variables used in the calculation, 17 symptoms and 4 diseases as well as symptom weights for each disease.Based on 30 data that have been tested against experts and systems, the system can detect 4 diseases, namely influenza like common, bronchitis, pharyngitis and tonsillitis. for patients suffering from ARI and according to the doctor's validation there were 25 patients and those who did not match were 5 patients. Based on the results of expert validation (doctors) and the system, an accuracy of 83.33% of the corresponding case data was obtained.

Deteksi Kerusakan Jaringan Fiber Optik Menggunakan Metode Forward Chaining Mukhamad Arifin; Arita Witanti
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 5 No. 1 (2021): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jmai.v5i1.148

PT. Telekomunikasi Indonesia (Persero) Tbk. has a subsidiary in charge of the fiber optic network management, that is the PT. Telkom Akses. The system applied for the problem solving is the helpdesk sending all tickets to the technicians due to limited diagnostics at the helpdesk or customer service unit. Meanwhile, there are two types of problem solving, namely remotely and by the direct technicians themselves. Therefore, to assist the helpdesk or customer service in diagnosing problems, it requires a system to accelerate the solving of network problems on the web-based fiber optic. Therefore in this research, researchers aim to build a prototype system for detecting the damages of fiber optic network, using the Forward Chaining Method to assist the helpdesk or customer service in solving network problems on the web-based fiber optic, using the symptoms data, damages data, and rules data. In this research, the data of the fiber optic network damages were limited to 9 damages data, 35 symptoms data, and 9 rules data including 140 decisions data. Based on the accuracy test results, it is concluded that the system accuracy according to the 36 data tested is 33 data (91%), which shows that this system works well and in accordance with the experts’ diagnosis. The inaccuracy system is 3 data (9%) which is caused by several possibilities.

SISTEM PENCARIAN RUTE DISTRIBUSI TERPENDEK MENGGUNAKAN ALGORITMA GENETIKA (STUDI KASUS DISTRIBUTOR SARI ROTI YOGYAKARTA) vanrika, adena reis; Witanti, Arita
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI (Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

In the modern era is the role of technology is very useful and rapidly evolved in societies, technology can make efficient and make effective activity or employment in the community, one of the roles of the current technology has been widely used in by the community i.e. google maps, google maps itself many uses and benefits of its one that is looking for a location to various places and then showing the route of the journey. On the existence of a travel distribution company couriers to deliver its products to any location of the consumer. These problems in the case of travelling salesmen problem (TSP), where a courier will visit a number of n points. and every point should only be visited once in addition to the starting point. In this study, researchers aim to create a system that can locate the most minimum distribution route using a genetic algorithm, utilizing the features of google maps so that the impact on the effectiveness of time and transportation costs. Genetic algorithm is a heuristic algorithm is used to resolve the problem by way of mengoptimasikan the problem with imitating the process of evolution of living beings. In this study data on use is data from the distributor sari bread jogjakarta. Data on testing trainers in this research aims to find the best algorithm parameter values and parameter values that is obtained by the total population = 100, maximum = 100 genes, the crossover rate = 0.5, and the mutation rate is 0.1. Of the 5 test data, by performing a test on each of the 10 test data. then the obtained results of genetic algorithm performance results percentage of 84% of the route or the value of an optimal fitness, and 16% showed error route that is not optimal.

Perancangan Steganografi Penyisipan Pesan Teks pada Citra Digital Menggunakan Pixel Value Differencing Saputra, David; Witanti, Arita
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI (Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Message security in this modern is needed. The development of the internet network that allows people to exchange data through the internet network. Along with the development of the internet, communication and information technology crimes are also developing one of which is data theft. These problems can be dealt with using the sciences that have existed since time immemorial namely steganography. Steganography is a technique that can secure the message by hiding the message pasted through the media in the form of digital images. Pixel Value Differencing as one of steganography techniques is quite safe in hiding secret messages. Pixel Value Differencing is a steganographic method that uses a difference value between two pixels to determine how many secret bits can be inserted. Based on the test results, it can be concluded that by using the pixel value differencing (PVD) method, the capacity of the image to insert a message is smaller than the image size, the processing time in this method is quite fast, the image quality after inserting a message has good quality

Co-Authors Abdul Rahman Wahid Agus Tri Widiyanto Akhmad Muzaki Alexander Radja Bria, Nyongki Apriani, Nana Ardhian Yulihandra Hanum Ari Widiyatmoko Arnanda Nuryasa Asshiddiq, Muh. Hasbi Bangkit Sasangka Bowo Nugroho Dharmawan, Thoriq Didik Kurniawan Djaelani Sosanto Domnina Rani Puna Rengganis Eko Hariyanto Fatimah, Malida Fatkhurrahman Hazmi, Shadrina Heri Ardiansyah Herli Setiawan Herwinsyah Huda, Maasyaril Kirom Mi’Rojul Ibnu Fajar Shiddiq Indah Susilawati Insan, Fariq Maulana Jeffri, Derry Meilana Krisna Bima Bagus Saputra M. Abdurozik Mahendra Wahyu Prihantoro Mahmudie, Bagus Muh. Fahrurrozi Mukhamad Arifin Munfaati, Eka Aenun Nisa Mutaqin Akbar Nadiyah, Raden Ayu Salma Naftali Sulardi Natanael Dimas Randy Nesya Rogawati Novriansyah Rosi Nur Lestari Puji Oktavia, Feliana Ozzi Suria Pambudi, Wahyu Tities Parjono, Parjono Pramana Adi Setiawan Prasetyaningrum, Putri Taqwa Pusaka, Semerdanta Putry Wahyu Setyaningsih Recoba Abednego Davinci Reizandi, Dwisatya Rengganis, Domnina Rani Puna Rina Dwiarti Rizqi Oktafiani Rogawati, Nesya Sadikin, Arif Maulana Salsabilla, Fadiah Nur Saputra, David Saputro, Fredy Siti Mutia Candra Soeharto, Triana N.E.D Sowanya Ardi Prahara Subarjo subarjo, Subarjo Supatman Supatman Supatman Supatman, Supatman Suryo, Rakhmanto Tito Rikanto Triana Noor Edwina Dewayani Soeharto Triana Noor Edwina Dewayani Soeharto vanrika, adena reis Wahyu Setyaningsih, Putry Wahyu Tities Pambudi Wahyu Tities Pambudi Wibowo, Ibnu Surya Widarta Widarta, Widarta Widatama, Krisna William, Haris Wulandari, Erika Yetti Lutiyan Suprapto

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