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All Journal Bulletin of Electrical Engineering and Informatics JUTI: Jurnal Ilmiah Teknologi Informasi Sewagati
Irfansyah, Astria Nur
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Arts Humanities Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Pembuatan dan Pelatihan Studio Mini untuk Pondok Pesantren Raudlatul Ulum 1 Suramadu Sebagai Media Dakwah Suwito, Suwito; Kusuma, Hendra; Tasripan; Irfansyah, Astria Nur; Pirngadi, Harris; Ermavitalini, Dini; Iskandar, Eka; Yuwana, Lila; Arifin, Muchamad
Sewagati Vol 8 No 2 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i2.923

Abstract

Konten ceramah agama adalah salah satu topik yang sangat populer dan berpengaruh besar terhadap pola pikir masyarakat. Pesantren Raudlatul Ulum 1 Suramadu diasuh oleh seorang ulama yang memiliki kapasitas keilmuan tinggi yaitu K.H. Ma’kruf Khozin. Beliau saat ini menjadi ketua bidang fatwa MUI Jawa Timur. Ceramah-ceramah beliau sangat berbobot, mencerahkan, menarik dan mudah difahami. Ceramah tersebut banyak membahas fikih agama Islam dari berbagai sudut pandang. Masalahnya adalah masih sedikit dokumentasi dalam bentuk video apalagi yang diupload pada kanal YouTube. Kendala utama dari masalah tersebut adalah kurangnya sarana perekaman video, sistem pengolah dan pengunggah video ke kanal YouTube yang baik dan mudah dioperasikan oleh santri pondok pesantren dimana notabene kurang mengenal teknologi. Pada pengabdian masyarakat ini kami akan menghibahkan sebuah studio mini. Studio ini merupakan sebuah desktop komputer yang dilengkapi dengan peralatan audio dan video untuk perekaman dan dipacking dalam sebuah mini troli sehingga mudah dipindahkan. Software pengolah video menggunakan jenis open source yaitu Open Broadcaster Software (OBS) yang sangat mudah dan tidak berbayar. Topik ini sesuai dengan satu dari 17 tujuan Peta Jalan dan Tema Ungulan Pusat Kajian Pembangunan Berkelanjutan (SDGs) 2023 yakni Pendidikan (Education),yaitu menjamin pendidikan yang berkualitas, inklusif dan adil, meningkatkan kesempatan belajar bagi semua. Studio mini ini digunakan untuk merekam dan mengunggah ceramah ustadz-ustadz di Ponpes Raudlatul Ulum 1 Suramadu ke kanal sosial media, sehingga menambah jumlah referensi video pembelajaran agama bagi masyarakat Indonesia dan dunia sehingga meningkatkan toleransi dalam beragama dan antar umat beragama.
Design of mapping system for domestic service robot using light detection and ranging Attamimi, Muhammad; Gunawan, Felix; Purwanto, Djoko; Dikairono, Rudy; Irfansyah, Astria Nur
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.8007

Abstract

Service robots are becoming increasingly essential in offices or domestic environments, usually called domestic service robots (DSR). They must navigate and interact seamlessly with their surroundings, including humans and objects, which relies on effective mapping and localization. This study focuses on mapping, employing the light detection and ranging (LiDAR) sensor. The sensor, tested at proximity, gathers distance data to generate two-dimensional maps on a mini-PC. Additionally, it provides rotational positioning and robot odometry, broadening coverage through robot movement. A microcontroller with wireless smartphone connectivity facilitates control via Bluetooth. The robot is also equipped with ultrasonic sensors serving as a bumper. Testing in rooms of varying sizes using three methods (i.e., Hector simultaneous localization and mapping (SLAM), Google Cartographer, and real-time appearance-based mapping (RTAB-Map)) yielded good quality maps. The best F1-measure value was 96.88% achieved by Google Cartographer. All the results demonstrated the feasibility of this approach for DSR development across diverse applications.
PREDICT URBAN AIR POLLUTION IN SURABAYA USING RECURRENT NEURAL NETWORK – LONG SHORT TERM MEMORY Faishol, Muh. Anas; Endroyono, Endroyono; Irfansyah, Astria Nur
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 2, July 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v18i2.a988

Abstract

Air is one of the primary needs of living things. If the condition of air is polluted, then the lives of humans and other living things will be disrupted. So it is needed to perform special handling to maintain air quality. One way to facilitate the prevention of air pollution is to make air pollutionforecasting by utilizing past data. Through the Environmental Office, the Surabaya City Government has monitored air quality in Surabaya every 30 minutes for various air quality parameters including CO, NO, NO2, NOx, PM10, SO2 and meteorological data such as wind direction, wind direction, wind speed, wind speed, global radiation, humidity, and air temperature. These data are very useful to build a prediction model for the forecast of air pollution in the future. With the large amount and variance of data generated from monitoring air quality in Surabaya city, a qualified algorithm is needed to process it. One algorithm that can be used is Recurrent Neural Network - Long Short Term Memory (RNN-LSTM). RNN-LSTM is built for sequential data processing such as time-series data. In this study, several analyses are performed. There are trend analysis, correlation analysis of pollutant values to meteorological data, and predictions of carbon monoxide pollutants using the Recurrent Neural Network - LSTM in the city of Surabaya correlated with meteorological data. The results of this study indicate that the best prediction model using RNN-LSTM with RMSE calculation gets an error of 1,880 with the number of hidden layer 2 and epoch 50 scenarios. The predicted results built can be used as a reference in determining the policy of the city government to deal with air pollution going forward.
Co-Authors Attamimi, Muhammad Dini Ermavitalini Djoko Purwanto Eka Iskandar Endroyono Endroyono Faishol, Muh. Anas Felix Gunawan Harris Pirngadi Hendra Kusuma Lila Yuwana Muchamad Arifin Rudy Dikairono Suwito Suwito Tasripan