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All Journal JURNAL SAINS PERTANIAN EQUATOR Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Telematika Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) AJAD : Jurnal Pengabdian kepada Masyarakat Internet of Things and Artificial Intelligence Journal Jurnal Penelitian Pendidikan Indonesia
Wulandari, Ike Yuni
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Other

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A Systematic Approach to Improving the Performance of Spiral Antenna Hidayat, Rahmad; Rushendra, Rushendra; Agustina, Ellisa; Wulandari, Ike Yuni; Rahim, Robbi
Jurnal Telematika Vol. 12 No. 2 (2017)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v12i2.191

Abstract

Implementation of antennas in various areas of wireless technology, became one of the main drivers of the advancement of wireless digital communications technology today. They are applicable to mobile communications, microwaves, Wireless Fidelity, satellites for various needs such as commercial, military, health, education, telemetry and much more. Then, the frequency independent antenna has become a major driver of intensive research and development of spiral antennas in generating large bandwidth. In this paper, a new approach will be adopted that will identify and analyze the wideband spiral antenna design with its various properties and look for opportunities for the application of various forms of novel advanced spiral antennas with improved performance. The results of identification and analysis increasingly show that the improvement of spiral antenna performance is highly dependent on design optimization; and continuous assessment of how techniques, methods, and experiments are possible for the performance improvement of existing spiral antenna properties. These performance improvements are in bandwidth, gain, voltage standing wave ratio (VSWR), polarization, improved radiation patterns that can be seen from the desired transmit direction diagram.Penerapan antena di berbagai bidang teknologi wireless, menjadi salah satu penggerak utama kemajuan teknologi komunikasi digital wireless saat ini. Penerapan tersebut terdapat baik pada komunikasi seluler, gelombang mikro, WiFi, satelit untuk berbagai kebutuhan seperti komersial, militer,  kesehatan, pendidikan, telemetri dan masih banyak lagi lainnya. Kemudian antena frekuensi bebas telah menjadi pendorong utama penelitian intensif dan pengembangan antena spiral dalam menghasilkan bandwidth yang besar. Dalam tulisan ini, pendekatan baru akan diadopsi yang akan mengidentifikasi dan menganalisis desain antena spiral wideband dengan berbagai sifatnya dan mencari peluang untuk penerapan berbagai bentuk antena spiral baru yang canggih dengan kinerja yang lebih baik. Hasil identifikasi dan analisis semakin menunjukkan bahwa peningkatan kinerja antena spiral sangat bergantung pada optimalisasi desain; dan penilaian terus menerus tentang bagaimana teknik, metode, dan eksperimen yang memungkinkan untuk peningkatan kinerja antena antena spiral yang ada baik dalam bentuk Archimedean, square, star, hexagonal, sinuous, equiangular, dan lainya. Peningkatan kinerja tersebut ada pada bandwidth, gain, voltage standing wave ratio (VSWR), polarisasi, pola radiasi yang semakin membaik yang dapat terlihat dari diagram arah pancar yang diinginkan.
Rancang Bangun Content Management System Pada Website Riset Fakultas Teknik Universitas Nurtanio Menggunakan Bahasa Pemrograman PHP Dan MySQL Ali, Abdul Latif; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Puspita, Heni
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.168

Abstract

The development of information and communication technology has had a major impact on human life along with the easier it is to obtain information through the internet. The need for the internet is very high, especially in the world of education and especially universities. The emergence of internet technology that exists today has become a tool used to ease human work, especially in the field of websites. Website is a form of implementation of a programming language. Hypertext Preprocessor (PHP) is a web-based programming language that has the ability to process and process website data that is run by the MySQL server as a database. One that can be used for dynamic website creation is content management system (CMS) technology. This website design aims to make it easier for admin managers and kontributors to provide more interactive information to research students and lecturers in developing an autonomous electric vehicle website. This study uses a system development method in the form of a Software Development Life Cycle (SDLC) with a prototype model, namely software development in the form of a physical system work model and functions as an initial version of the system. In testing the CMS using black-box testing with boundary value analysis techniques that focus on input and output data. Based on the research and testing process that has been carried out successfully, the CMS dashboard page on the engineering faculty research website is able to process data dynamically and provide convenience for admin managers and kontributors in the development of autonomous electric vehicles.
PENGOLAHAN DATA GPS UNTUK KENDARAAN LISTRIK OTONOM Putra, Nyoman Triyoga Arika; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Ariffin, Denden Mohamad
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.187

Abstract

Information and communication technology continues to show its development, and one of the technological developments in the information sector is the Global Positioning System (GPS). GPS technology is designed by utilizing satellites in space called the Global Navigation Satellite System (GNSS) whose application can be used in autonomous electric vehicles. Therefore, this study aims to design a GPS data processor on autonomous electric vehicles. The method used is using a Raspberry Pi 4 mini computer and a Neo 6M GPS module and the basic application is using the Python programming language. The application created has an output in the form of a display that shows the data obtained from the satellite and automatically the data will be stored in the form of an Excel file. The data in the Excel file will be compared with data from Google Maps. From the results of the research that has been done, the use of the Neo 6M GPS module in this application has an economical price, and the location data received is quite accurate, the GPS can be used indoors or outdoors, and even in rainy conditions the GPS can still receive signals well. these results can be applied to the autonomous electric vehicles technology.
REKONSTRUKSI OBJEK DUA DIMENSI MENGGUNAKAN MODIFIKASI RANSAC Christian, Yohanes Wahyu; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Ariffin, Denden Mohamad
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.203

Abstract

Abstract—RANSAC (Random Sample Consensus) can be used as mathematical model parameters of a set of observed data contains inlier and outlier data. In manufacture can also be used to build exact line equations from a number of data, by validating the data by looking at the inlier and outlier data of a project being worked on. To create a program in making this final project, the author uses two-dimensional data that is processed by LiDAR (Light Detection and Ranging), the author conducts data collection and research on the performance of two-dimensional object reconstruction using RANSAC modifications in Python. In the first experiment using data from LiDAR detection, the authors limit that the variable value of the residual threshold is above 3000, so it can be expressed as an imperfect image, from the first test it is produced with 92.85% perfect data, while for the second test it gets 52% data. Perfect. Reconstruction of 2D objects from LiDAR data can be validated using the RANSAC method. Ransac method is used to build the exact equation of the line from a number of data. So that the generated line can be a reference whether the amount of data to be observed is a correct 2-dimensional object reconstruction. How to validate by looking at the suitability of the inlier and outlier data from the RANSAC line equation. Inliers data will indicate whether the pattern of the reconstruction data is appropriate.
SEGMENTASI OBJEK BERBASIS GAMBAR THERMAL MENGGUNAKAN DEEP LEARNING (PRE-TRAINED RESNET101 Harahap, Taufiq Hidayat; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Puspita, Heni
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol. 4 (2022): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54706/senastindo.v4.2022.211

Abstract

Currently, the car is one of the means of transportation that is widely used by many people and it has become a necessity to have a car to help users move more easily. Car technology continues to be developed by experts, including steering aid systems and safety for car users, such as automatic reading of objects and road boundaries that can be useful for both things. This system was built using the Fully Convolutional Network (FCN) method with Residual Neural Network (ResNet) architecture, and also Image Processing as signal processing with image input, and with a thermal Flir camera as vehicle input data. The data generated by this thermal camera is labeled first and then trained so that it can segment objects correctly according to their classification. In this study, the extraction accuracy of the training generated by the autonomous vehicle feature can reach 96.27% for ResNet 101 with a resolution of 640x480 pixels. As for suggestions for development to be even better in terms of segmentation, namely by using more training data than is used now and shooting locations for datasets in different places from the current research.
PENGEMBANGAN SISTEM KOMBINASI KERJA REM, STEER, DAN TRAKSI BERBASIS LiDAR 3D UNTUK KENDARAAN LISTRIK OTONOM RODA TIGA Akbar, Fabian; Satyawan, Arief Suryadi; Wulandari, Ike Yuni; Utomo, Prio Adjie; Putri, Riza Ayu; Paramita, I Gusti Ayu Putri Surya; Iswarawati, Ni Kadek Emy; Linggi, Rinda Safana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 3: Juni 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.938134

Abstract

Selama beberapa waktu terakhir, pengembangan sistem deteksi objek berbasis LiDAR telah menjadi fokus utama bagi para pengembang kendaraan listrik otonom. Banyak upaya telah dilakukan untuk meningkatkan dan mengoptimalkan teknologi ini guna mencapai mobilitas otonom yang lebih canggih dan aman. Begitu pula yang dilakukan oleh BRIN, Pengembangan sistem deteksi objek berbasis LiDAR telah berhasil dilakukan hingga rekonstruksi dan posisi objek dapat ditemukan. Namun demikian pemanfaatannya belum mencakup sistem safety dan guidance dalam hal ini mengendalikan gerak laju kendaraan, rem, dan kemudi. Untuk memaksimalkan hasil sistem pendeteksian objek berbasis LiDAR yang telah diperoleh sebelumnya, maka pada penelitian tugas akhir ini akan di kembangkan sistem tersebut sehingga dapat digunakan untuk mengkombinasikan kerja laju kendaraan, rem, dan kemudi secara otomatis. Sistem safety dan guidance ini dilakukan dengan mengembangkan metoda maneuver untuk menghindari objek yang pendekatannya dapat dilakukan berdasarkan metoda fuzzy mamdani. Adapun algoritma di kembangkan dengan menggunakan python pada Jetson AGX Xavier, sedangkan untuk memproses gerak kendali maneuver yang dihasilkan dilakukan pada Mikrokontroller Teensy 4.1. Sistem safety dan guidance ini telah diterapakan pada kendaraan listrik roda tiga sederhana, dan dapat membantu kendaraan tersebut dapat ber manuver menghindari objek di depannya hingga 5 meter.
STATUS STOK UDANG PUTIH (Penaeus merguiensis de Man, 1888) DARI ZONA 3 MIL YANG DIDARATKAN DI DUSUN PARIT PANGERAN DESA TANJUNG SALEH KABUPATEN KUBU RAYA KALIMANTAN BARAT Wulandari, Ike Yuni; Adijaya, Mardan; Hadinata, Fitra Wira
Jurnal Sains Pertanian Equator Vol 13, No 3
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v13i3.78027

Abstract

Kabupaten Kubu Raya yang merupakan salah satu kawasan sentra produsen udang terbesar di Kalimantan Barat dengan konstribusi mencapai 40,08% pada 2010 dan 39,45% pada 2012, salah komoditasnya ialah Penaeus merguiensis. Penaeus merguiensis termasuk kedalam klasifikasi udang paneid yang komoditasnya menjadi sasaran utama. Udang putih menjadi salah satu udang yang mengalami eksploitasi dimana berdampak pada penurunan stok udang putih. Oleh karena itu perlu dilakukan penelitian untuk mengetahui status stok udang putih di perairan tersebut. Penelitian dilakukan selama 3 bulan menggunakan alat tangkap mini bottom trawl dan menggunakan metode systematic random sampling. Analisis data yang digunakan yakni sebaran frekuensi karapas, hubungan rasio berat total dan panjang total terhadap waktu penangkapan, hubungan panjang total dan panjang karapas, laju pertumbuhan, mortalitas dan laju eksploitasi. Hasil analisis menunjukkan bahwa udang yang tertangkap memiliki sebaran frekuensi antara 12-27,9 mm, rasio berat total dan panjang total mengalami peningkatan pada bulan april yakni 0,098 gram, kemudian mengalami penurunan drastis pada bulan mei yakni 0,075 gram, pola pertumbuhan yakni bersifat allometrik negatif karena nilai b3 yang artinya pertambahan panjang udang putih lebih cepat daripada pertambahan berat.Kata Kunci:  Allometrik, Pertumbuhan, Status Stok, Udang Putih.
A literature review and analysis of aviation training Puspita, Heni; Gaffar A, Ade; Setiawan, Agus; Widiaty, Isma; Wulandari, Ike Yuni; Andriana, Andriana
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 10, No 3 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020243853

Abstract

Pelatihan penerbangan aspek yang sangat penting untuk memastikan keselamatan, efisiensi, dan kecakapan dalam industri penerbangan. Seiring dengan perkembangan industri penerbangan, program pelatihan akan terus memanfaatkan pendekatan inovatif untuk memastikan standar profesionalisme dan keselamatan tertinggi dalam operasi penerbangan. Pandangan komprehensif tentang pelatihan penerbangan melibatkan pemahaman mendalam tentang aspek-aspek kritis yang melibatkan persiapan individu untuk berbagai peran dalam industri penerbangan. Penelitian di bidang pelatihan penerbangan cenderung berfokus pada beberapa area kunci yang mempengaruhi keselamatan, efisiensi, dan kecakapan dalam operasi penerbangan. Penelitian ini bertujuan untuk melakukan evaluasi penelitian-penelitian bidang Aviation Training dengan menggunakan metode bibliometrik dengan jumlah artikel yang dikumpulkan sebanyak 1.421 dokumen dalam periode 1943 hingga 2021. Hasil penelitian menunjukkan bahwa dalam 10 tahun terakhir jumlah publikasi tentang Aviation Training mengalami peningkatan secara signifikan. United States merupakan negara yang paling banyak melakukan penelitian tentang Aviation Training dengan jumlah 561 artikel (39.5%) dan China adalah negara asia menduduki urutan kedua dalam penelitian Aviation Training sebanyak 125 artikel (12.8%).
360-degree Image Processing on NVIDIA Jetson Nano Satyawan, Arief Suryadi; Utomo, Prio Adjie; Puspita, Heni; Wulandari, Ike Yuni
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i2.722

Abstract

A wide field of vision is required for autonomous electric vehicles to operate object-detecting systems. By identifying objects, it is possible to imbue the car with human intelligence, similar to that of a driver, so that it can recognize items and make decisions to prevent collisions with them. Using a 360-degree camera is a wonderful idea because it can record events surrounding the car in a single shot. Nevertheless, 360º cameras produce naturally skewed images. To make the image appear normal but have a bigger capture area, it is required to normalize it. In this study, NVIDIA Jetson Nano is used to construct software for 360-degree image normalization processing using Python. To process an image in real-time, first choose the image shape mapping that can give information about the entire item that the camera collected. Then, choose and apply the mapping. Using Python on an NVIDIA Jetson Nano, the author of this research has successfully processed 360-degree images for local and real-time video as well as image geometry modifications.
Implementasi Sosio Chemoentrepreneurship untuk Memproduksi Kebutuhan Rumah Tangga berbasis Sodium Lauril Sulfonat Putri, Intan Cynara Valentina; Alti, Rahmi Mudia; Agustianti, Rifka; Wulandari, Ike Yuni; A, Yoana Nurul
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i1.493

Abstract

This Community Service Program (PKM) aims to enhance the skills of housewives in producing hand soap, laundry detergent, and dishwashing liquid based on Sodium Lauryl Sulfonate (SLS). The methods used include socialization, training, mentoring, monitoring, and evaluation, involving 20 participants divided into three groups. Evaluation results showed a significant improvement in participants' understanding, with an average post-test score increase of 43% compared to the pre-test. 90% of participants felt more confident, 85% were interested in entrepreneurship, and 75% recognized its economic benefits. However, limitations included a short training duration and limited equipment. Future recommendations include extended mentoring and marketing training to help participants develop sustainable businesses.
Co-Authors A, Yoana Nurul Adijaya, Mardan Agus Setiawan Agustianti, Rifka Akbar, Fabian Ali, Abdul Latif Alti, Rahmi Mudia Andriana Andriana Ariffin, Denden Mohamad Christian, Yohanes Wahyu Desifatma, Elfitra Ellisa Agustina, Ellisa Gaffar A, Ade Hadinata, Fitra Wira Harahap, Taufiq Hidayat Isma Widiaty Iswarawati, Ni Kadek Emy Linggi, Rinda Safana Paramita, I Gusti Ayu Putri Surya Puspita, Heni Putra, Nyoman Triyoga Arika Putri, Intan Cynara Valentina Putri, Riza Ayu Robbi Rahim Rushendra, Rushendra Satyawan, Arief Suryadi Utomo, Prio Adjie