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All Journal Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Penelitian Prosiding SNITP (Seminar Nasional Inovasi Teknologi Penerbangan) Langit Biru: Jurnal Ilmiah Aviasi Journal of Public Transportation Community Journal Emerging Technologies in Education
Suryono, Wiwid
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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ANALISIS PASAR TRANSPORTASI UDARA INTERNASIONAL BANDARA KUALANAMU PASCA PANDEMI COVID-19 Suryono, Wiwid; Fatimah, Siti; Winiasri, Linda; Ariantji Patrisia Mintje, Quirina
Jurnal Penelitian Vol. 9 No. 1 (2024): Jurnal Penelitian Maret 2024
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v9i1.1794

Abstract

Pada saat adanya pandemi virus COVID-19, Pemerintah menerapkan pembatasan pergerakan masyarakat untuk mengurangi risiko dari paparan virus COVID-19. Hal ini berdampak pada jumlah penumpang khususnya transportasi udara internasional. Jumlah penumpang udara tercatat mengalami penurunan signifikan pada awal tahun 2020. Pada pertengahan tahun 2021, data trafik penumpang mulai meningkat di beberapa bandara. Tujuan dari penelitian ini adalah untuk menganalisa keadaan pasar transportasi udara internasional. Data yang digunakan yaitu jumlah penumpang lalu lintas udara internasional dari 4 bandar udara besar di Indonesia: Bandar udara Soekarno-Hatta , Bandar udara Juanda, Bandar udara Ngurah Rai, serta Bandar udara Kualanamu. Studi menunjukkan jumlah penumpang meningkat sejak tahun 2022, Dibandingkan angka tahun 2020, jumlah total penumpang angkutan udara internasional di Indonesia pada tahun 2020 mencapai 3.675.951 orang dan pada tahun 2021 turun menjadi 631.153 orang (17,16%) atau jumlahnya turun sekitar 82,84% akibat dampak pandemi dan kemudian pada tahun 2023 sampai dengan bulan agustus data penumpang internasional menjadi 9.908.800 orang atau meningkat 6.232.849 orang atau naik sekitar 169%. Analisa data penumpang transportasi udara intenasional pasca pandemi covid-19 mulai bulan September 2023 hingga forecast di bulan juli 2024 sudah dalam kategori normal dengan nilai rata-rata kenaikan sebesar 12,1 %.
TRANSMISI MULTICAST DATA RADAR PADANG – PEKANBARU SEBAGAI MEDIA PEMBELAJARAN DI POLTEKBANG SURABAYA Suprapto, Yuyun; rafif, Erdiyansyah; Suryono, Wiwid; Bagus H, Bambang; Sabur, Fatmawati
Journal of Public Transportation Community Vol. 4 No. 1 (2024): Journal Public Transportation Community April 2024
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jptc.v4i1.1521

Abstract

Multicast data radar adalah sebuah konsep dalam sistem radar modern yang bertujuan untuk efisien mengirimkan dan menerima data dari banyak penerima (receiver) secara bersamaan. Radar merupakan teknologi yang penting dalam pengawasan dan pemantauan berbagai wilayah, baik dalam aplikasi militer maupun sipil. Dalam situasi di mana data dari radar harus diakses oleh beberapa penerima, penggunaan teknik multicast menjadi pilihan yang efisien untuk mengirimkan data tersebut ke beberapa tujuan secara bersamaan. Metode yang digunakan dalam penelitian ini menggunakan metode pengembangan ADDIE. Pada metode ADDIE ini dapat memudahkan dalam membuat transmisi Multicast Data Radar Padang – Pekanbaru menggunakan metode tunnel in tunnel. Transmisi ini terdiri dari komponen hardware dan software sebagai bahan dalam perancangan transmisi Multicast Data Radar Padang – Pekanbaru menggunakan 1 hardware leptop atau PC dan software virtualbox, winbox64.exe, ASTModoS.exe, wireshark. Teknik analisis data yang dilakukan penulis yaitu menilai quality of Service (QoS) dari rancangan transmisi Data Radar yang telah dibuat oleh penulis.
PERENCANAAN JALAN INSPEKSI DI BANDAR UDARA DJALALUDDIN GORONTALO Siahaan, Galang Valentino; Suryono, Wiwid; Winiasri, Linda
Prosiding SNITP (Seminar Nasional Inovasi Teknologi Penerbangan) Vol. 8 No. 1 (2024): SNITP 2024
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/snitp.v8i1.1951

Abstract

Bandar Udara Djalaluddin Gorontalo adalah bandara yang terletak di Kecamatan Tibawa, Provinsi Gorontalo. Bandara ini memiliki landasan pacu berukuran 2.500 x 45 meter. Oleh karena itu, diperlukan fasilitas pendukung berupa jalan inspeksi dengan perkerasan lentur yang sesuai dengan SKEP 347/XII/1999. Penelitian ini menggunakan metode Manual Desain Perkerasan Jalan No.03/M/BM/2024 untuk menentukan ketebalan perkerasan. Sedangkan untuk rencana anggaran biaya, jurnal ini menggunakan HSPK Provinsi Gorontalo tahun 2024 dan PM 78 tahun 2014. Berdasarkan hasil perhitungan, ketebalan perkerasan lentur untuk jalan inspeksi di Bandar Udara Djalaluddin Gorontalo adalah 420 mm, terdiri dari lapis AC-WC setebal 50 mm, LFA kelas A setebal 220 mm, dan LFA kelas B setebal 150 mm Total biaya yang dibutuhkan untuk pekerjaan jalan inspeksi ini adalah Rp9.397.329.000,00.
The Role of AI in Scaling Global Access to Quality Education in Low-Resource Regions Hanum, Gilang Kartika; Syahputra, M.; Suryono, Wiwid; Rukiyanto, Bernardus Agus; Hariyadi, Slamet
Journal Emerging Technologies in Education Vol. 2 No. 5 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i5.1366

Abstract

Background. In the digital age, emojis have evolved from simple pictographs into a global communication tool, transcending language barriers. As the world seeks to scale access to quality education, particularly in low-resource regions, artificial intelligence (AI) has emerged as a key enabler in overcoming these barriers. The role of emojis in enhancing digital literacy and educational communication in these regions remains underexplored. Purpose. This study investigates the potential of emojis, supported by AI-driven systems, to improve educational accessibility and engagement in low-resource areas. Method. The research aims to explore how AI can leverage emojis as a universal language tool to enhance learning experiences and bridge communication gaps in diverse linguistic and cultural contexts. A mixed-method approach was employed, combining qualitative interviews with educators and students, and quantitative analysis of educational platforms utilizing emoji-based learning interfaces. The study focused on low-resource regions where traditional educational tools are less accessible. Results. Results indicated that emoji-based communication, when integrated with AI-driven educational tools, significantly improved engagement and comprehension among learners, particularly in multilingual environments. Students reported a deeper connection to content and higher motivation to learn, while educators found it easier to communicate complex concepts using visual aids like emojis. The study suggests that AI-supported emoji language can be a scalable solution for improving educational access in underserved regions. Conclusion. In conclusion, the study suggests that adaptive learning algorithms In conclusion, the findings highlight the potential of AI and emojis to revolutionize educational communication in low-resource areas. By leveraging emojis as a universal language, AI can contribute to narrowing the global education gap and fostering inclusive learning.
Qualitative Study: Comparison of Implementation of The Effectiveness of the Ethno-Religious-Based SAVI Model in Improving Problem-Solving Skills in PAI Learning Abdullah, Amiruddin; Wijayanti, Ari; Suryono, Wiwid; Joesidawati, Marita Ika; Sarnoto, Ahamd Zain; Hiola, Siti Fatimah; Nugraha, Aat Ruchiat; Sari, Windy Dian; Sukini, Sukini; Santosa, Tomi Apra
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 5 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i5.6192

Abstract

This study aims to determine the effectiveness of the Ethno-Religious-based SAVI model on students' problem-solving ability in PAI learning meta-analysis.  The eligibility criteria in this study are a) research data obtained from the Google Scholar database, ProQuest, ERIC and Wiley, b) The research must be indexed by the Science Technology Index (SINTA), Scopus and Wos, c) The research topic must be relevant, d) the research is published in the 2020-2023 range, d) the publication must have a score of (r), (t) or F, e) the level of education of the participants, namely elementary, junior high and high school and the sample size of this research > 30 students.  Data analysis with the help of JSAP 0.8.5 application. The results of this study are 1) 18 studies analyzed are heterogeneous and normal, 2) there is an influence of ethno-religious-based SAVI model on students' problem-solving ability in PAI learning with a high effect size category (p < 0.001 ; rRE = 1.12 and 3) in this study there is no publicity bias. These findings provide information that the ethno-religious-based SAVI model is effective in improving students' problem-solving skills in PAI learning.
Exploratory Factor Analysis (EFA) Approach For Validation of Interest Assessment Instrument for Airport Personnel in Senior High School Students Grade XII Suryono, Wiwid; Winiasri, Linda; Rozi, Fahrur; Triyono, Agus; Fatimah, Siti
Langit Biru: Jurnal Ilmiah Aviasi Vol 18 No 2 (2025): Langit Biru: Jurnal Ilmiah Aviasi
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/langitbiru.v18i2.1277

Abstract

This study aims to validate an instrument to assess interest in the airport profession among XII-grade high school students using the Exploratory Factor Analysis (EFA) approach. This research is important to assist educational institutions and the aviation industry in identifying the interests and potential of students suitable for a career in airports, especially during the transition from education to the world of work. Through EFA, this study identified the factors underlying students' interest in the airport personnel profession by distributing questionnaires to 94 12th-grade high school students. Findings from factor analysis showed several key dimensions of interest, such as skills, training, career development, and interest in the airport work environment. The results of this study provide a new understanding of the factors of interest in a career in the aviation sector and produce a valid assessment instrument to assess the interest readiness of high school students interested in a career as airport personnel.
Co-Authors Aat Ruchiat Nugraha Abdullah, Amiruddin Agus Triyono Ahmad Zain Sarnoto Ari Wijayanti Ariantji Patrisia Mintje, Quirina Bagus H, Bambang Fahrur Rozi Fatmawati Sabur Hanum, Gilang Kartika Hiola, Siti Fatimah M. Syahputra Marita Ika Joesidawati rafif, Erdiyansyah Rukiyanto Rukiyanto, Rukiyanto Santosa, Tomi Apra Sari, Windy Dian Siahaan, Galang Valentino Siti Fatimah Slamet Hariyadi Sukini, Sukini Winiasri, Linda Yuyun Suprapto