Garuda - Garba Rujukan Digital

Monitoring Departure to Schools in Basic School Students Using Arduino Based on Android Eko Saputro; Anggraini Kusumaningrum; Mardiana Irawaty
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.262

Student departure monitoring is an Android-based app used to monitor student departure to school. This system runs on parent smartphones so parents can see the existence of students and the app will give a message if the student out of the route path that has been set. Arduino used is arduino uno nano type. Arduino programmed using C language, to monitor the existence of students also required some components such as GSM Module and GPS Module. In testing the user application can monitor the existence of the students through the mobile phone that has been installed the application, before monitoring the departure of parents students are required to enter data coordinates home, coordinate data route and data coordinates of schools entered manually. To get the coordinate data the parent can take it through google Maps. To avoid failure in the use of remote control applications should use Android smartphone version 4.1 Jelly bean to version 6.0 Marshmallow. In the experiments this application can run smoothly with the Android version 4.1 to Android version 6.0 and the results of the questionnaire given to the 30 respondents with 9 questions 75.77% results obtained using Likert-scale calculations, which results obtained a good assessment interval.

Selection of outbound locations in Gunung Kidul using a Multi- Object Optimization Method Based on Reporting Analysis Anton Setiawan Honggowibowo; Mardiana Irawaty; Istiqomah Nuraini
SENATIK STT Adisutjipto Vol 6 (2020): Keselamatan Penerbangan di masa Pandemi Covid-19 [ISBN 978-602-52742-2-0]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v6i0.426

Decision support system (DSS) is a computer-based system that can help users make decisions. One of the DSS applications is to select outbound locations in Gunungkidul by using the Multi-Object Optimization method on the Base Ratio of Analysis (MOORA). Outbound is an open-air learning method based on direct experience presented in the form of games, discussions and adventures. So that participants will get feedback about the impact of the activities carried out which is useful for self-development in the future. The application of the MOORA method is a method that can determine the weight of each criterion, then proceed with a ranking process that will select the best alternative from a number of available alternatives. In this study an application for outbound location selection in Gunungkidul was made using the MOORA method, an application designed based on a website, this test was carried out using black box testing. The results of this study show that the best location based on the criteria weight and ranking with several alternatives is the location of the Nglanggeran Ancient Volcano with a value of 0.1507, Sri Getuk Waterfall with a result of 0.0909, Kampung Jelok with a result of 0.01497, Goa Pindul with a result of 0.00182, Sundak Beach with a result The result is -0.07192, Wulenpari with the result -0.08854, and the last one is Indrayanti beach with the result -0.13179.

Decision Support System for Property Insurance Selection Using Simple Additive Weighting (SAW) Method Anggraini Kusumaningrum; Astika Ayuningtyas; Leonardo Tampubolon; Anton Honggowibowo; Haruno Sajati; Mardiana Irawaty
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v3i2.137

Every human being cannot predict what events will happen to him, whether natural disasters or non-natural disasters that can befall his property assets. Property insurance is a type of protection for property assets such as houses, apartments, and offices. The goal is to anticipate financial losses due to unexpected events that befall your property. Data such as Risk-Based Capital (RBC) is needed in choosing a property insurance company, the amount of premium, insurance coverage, and the premium period as a material consideration in making decisions. In implementing the Property Insurance Selection Decision Support System Application using the Simple Additive Weighting (SAW) method, the user determines the main priority weights from the predetermined criteria, from the results of determining the priority weights, a recommendation for property insurance companies is obtained which is desired by the property owner from the calculation results, it can be concluded that the average calculation speed of the application of 30 experimental sample data is 1264 ms or 1.264s

Decision Support System for Property Insurance Selection Using Simple Additive Weighting (SAW) Method Anggraini Kusumaningrum; Astika Ayuningtyas; Leonardo Tampubolon; Anton Honggowibowo; Haruno Sajati; Mardiana Irawaty
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 2 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Every human being cannot predict what events will happen to him, whether natural disasters or non-natural disasters that can befall his property assets. Property insurance is a type of protection for property assets such as houses, apartments, and offices. The goal is to anticipate financial losses due to unexpected events that befall your property. Data such as Risk-Based Capital (RBC) is needed in choosing a property insurance company, the amount of premium, insurance coverage, and the premium period as a material consideration in making decisions. In implementing the Property Insurance Selection Decision Support System Application using the Simple Additive Weighting (SAW) method, the user determines the main priority weights from the predetermined criteria, from the results of determining the priority weights, a recommendation for property insurance companies is obtained which is desired by the property owner from the calculation results, it can be concluded that the average calculation speed of the application of 30 experimental sample data is 1264 ms or 1.264s

Adopsi Bahasa Jawa Walikan Gaya Yogyakarta untuk Kriptografi dengan Nama ROT10 Hero Wintolo; Mardiana Irawaty; Arief Dwi Nugroho
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 5, No 1 (2023): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v5i1.1461

Pada penelitian ini diusulkan sebuah metode untuk kriptografi sebuah teks dan kumpulan teks. Metode yang diusulkan dalam penelitian ini adalah permutasi dengan mengadopsi bahasa Jawa Walikan gaya Yogyakarta. Cara kerja Bahasa Jawa walikan ini dengan cara menggeser karakter sejauh sepuluh langkah. Pada Bahasa Jawa walikan gaya Yogyakarta, karakter yang dikenai pergeseran sepuluh langkah ini sejumlah dua puluh karakter yang terbagi menjadi empat baris, sedangkan karakter alfabet latin jumlah karakternya dua puluh enam. Agar terjadi pertukaran karakter sebanyak sepuluh langkah, maka diperlukan penambahan karakter dari dua puluh enam karakter pada alfabet sehingga menjadi empat puluh karakter. Terdapat empat belas simbol yang dimasukkan untuk melengkapi huruf abjad yang digunakan dalam penelitian ini. Penggunaan simbol sebanyak empat belas buah terbukti membuat ROT10 menjadi bagian dari kriptografi substitusi dengan menggeser sepuluh langkah maju dan mundur dapat bekerja secara stabil tanpa ada kesalahan pada proses enkripsi dan dekripsi.

SISTEM PAKAR PADA PERMAINAN UNTUK MENGUKUR TINGKAT INTELLIGENCE QUOTIENT (IQ) MENGGUNAKAN METODE BINET-SIMON BERBASIS ANDROID E.N. Tamatjita; Mardiana Irawaty; Rio Ramdhani
Compiler Vol 5, No 1 (2016): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

The development of mobile technologies very rapidly at this time, can be seen in all areas of human life. It triggers the level of usage of mobile equipment itself, this time in the form of a smartphone gadgets familiar to the adults and children. IQ tests that exist today are still many that are manual and less desirable, especially for the children. With combined by mobile technology and packed into a game, is expected to add to the child's interest and can be used as a means of learning. The test results of 30 respondents, the level of user satisfaction based GUI Display, User Friendly and Final Game IQ Method Using Binet-Simon-Based Mobile, obtained a percentage of 71.31% keselurahan assessment. Thus Game IQ can be said Good

Analisis prakiraan kecepatan angin dengan menggunakan artificial neural network Halawani, Afrah; S, Sutjianto; Irawaty, Mardiana
SENATIK STT Adisutjipto Vol 6 (2020): Keselamatan Penerbangan di masa Pandemi Covid-19 [ISBN 978-602-52742-2-0]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v6i0.424

Prediction is one of the most important techniques in determining the resulting wind speed. The decision to predict is very important, because with predictions can calculate the average wind speed and a good prediction is an accurate prediction. The purpose of this research is to predict the wind speed using the neural network model to determine the wind speed in the following year. To predict wind speed, the author builds a wind speed prediction model using an artificial neural network (ANN) with a backpropagation learning algorithm. The scope of research data collection from BMKG Sleman. Therefore we need a method that is better than the load coefficient method. The results of this study show that the predictions of ANN wind speed in 2019 from January to December are close to the default data from the BMKG. Sleman and stay stable. And the average error percentage of ANN is 5%.

Analysis of the Effect of Linear and Non Linear Loads on the Effectiveness of Single Phase Transformers Sudibya, Bambang; Irawaty, Mardiana
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.226

Lately, PLN as the state electricity company that supplmost of the electricity needs in Indonesia is being hit by a "trial" which is in a row with the burning of several Interbus Transformers (IBT) in several regions. This can be caused by the rupture of the bushing so that it triggers a short circuit and results in the burning of the transformer. However, so far the investigation of other causes has been minimal as well as the effect of the load which is primarily a nonlinear load. Electricity is a device / device that can function if it is electrified. The device / tool is used to convert electrical energy into other energy such as motion, heat, light and so on. Electricity load consists of linear load and non linear load. changes in the use of linear loads to non-linear loads, among others, from incandescent lamps to TL lamps, and many non-linear loads that are widely used such as the use of induction motors (motors used in water pumps, refrigerators, air conditioners, etc.), rectifiers, static power converter (rectifiers and or inverters), electronic ballasts cause harmonics. Harmonics are sinusoidal waves with frequencies which are round multiples of the fundamental frequency. Harmonics can affect the work function of the transformer, which causes more heating to the iron core, which causes an increase in loss. In this study, the losses will be tested if the load is linear and also if it is loaded with non-linear loads. The results showed that for small loads, the response of the two loads showed almost the same current. While for moderate loads there is a difference that has not been so large, and for large loads large currents indicated there are large differences. So that the copper losses and iron losses are greater when the load is large. Given copper losses there is a current flowing in the transformer winding and the presence of resistance in the winding (I2R1 + I2R2). so that the increase in load current will increase copper losses. So thereby increasing copper losses causes a decrease in transformer efficiency.

Sistem pengenal emosi berbasis suara menggunakan ekstraksi ciri Fast Fourier Transform Bambang, Sudibya; Irawaty, Mardiana; Aizzun, Sajidah Nur; Sugiono, Sugiono
Vortex Vol 5, No 1 (2024)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v5i1.2092

Pengenal emosi ialah suatu proses untuk mengidentifikasi emosi pada manusia. Di mana emosi dapat dikenali melalui kata-kata, intonasi suara, ekspresi wajah, serta bahasa tubuh. Pada penelitian ini penulis merancang sistem pengenal emosi dengan basis suara manusia menggunakan software matlab dengan ekstraksi ciri yang digunakan fast fourier transform yang merupakan proses ekstraksi ciri yang sederhana dengan mengubah sinyal dalam domain waktu diskrit menjadi domain waktu frekuensi. Pada penelitian ini berfokus pada empat kelas emosi: marah, netral, senang, serta sedih. Tahap pertama dimulai dari proses pengambilan data suara, pemotongan, preprocessing, proses ekstraksi fast fourier transform dan dynamic time warping. Dari hasil tersebut diperoleh nilai akurasi tertinggi pada emosi sedih sebesar 100% dan nilai akurasi lainnya diperoleh rata-rata sebesar 66,67%. Kemudian dari keseluruhan nilai akurasi yang diperoleh untuk seluruh kelas emosi, rata-rata nilai akurasinya adalah 75%.

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