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All Journal Jurnal Ilmiah Psikologi Terapan Astonjadro Automotive Experiences Jurnal Konstruksi dan Infrastruktur : Teknik Sipil dan Perencanaan Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
Ainun Rahmawati
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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DUKUNGAN SOSIAL TEMAN VIRTUAL MELALUI MEDIA INSTAGRAM PADA REMAJA AKHIR Rahmawati, Ainun; Nurhamida, Yuni
Jurnal Ilmiah Psikologi Terapan Vol 6, No 1 (2018)
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1092.987 KB) | DOI: 10.22219/jipt.v6i1.5534

Abstract

Abstrak. Remaja akhir sendiri memiliki kebutuhan untuk berkomunikasi dengan teman sebaya, sehingga media instagram menjadi kebutuhan sehari-hari. Media instagram merupakan kemajuan teknologi yang perlahan menggeser sosialisasi secara langsung menjadi virtual. Dukungan sosial teman virtual yaitu dukungan sosial yang didapat melalui dunia maya. Tujuan dari penelitian ini untuk menggambarkan dukungan sosial teman virtual melalui media instagram. Subjek penelitian berjumlah 428 mahasiswa dengan metode pengambilan data purposive sampling. Pengumpulan data dalam penelitian ini menggunakan kuisoner berdasarkan bentuk dukungan yaitu bentuk dukungan sosial instrumental, informasional, emosional, penghargaan diri dan jaringan sosial. Hasil dari penelitian ini yaitu bentuk dukungan tertinggi pada dukungan instrumental berjumlah 86,9 %, urutan kedua yaitu bentuk dukungan informasional berjumlah 79,7 %, urutan ketiga yaitu bentuk dukungan jaringan sosial berjumlah 56,5 %, diurutan keempat bentuk dukungan penghargaan berjumlah 34,8% dan diuruta kelima bentuk dukungan emosional berjumlah 23,6 %. Kata kunci : dukungan sosial teman virtual, instagram, remaja akhir Abstract. Late teens themselves have a need to communicate with peers, so that instagram media into their daily needs. Media instagram is slowly shifting technological advances directly into a virtual socialization. Social support virtual friends that social support is obtained through cyberspace. The purpose of this study to describe the social support virtual friends via instagram media. Subjects numbered 428 students with purposive sampling method of data collection. Collecting data in this study using a questionnaire based on the form of support is a form of social support instrumental, informational, emotional, self-esteem and social networks. Results from this research that the highest form of support in instrumental support amounted to 86.9%, The second sequence that forms informational support amounted to 79.7%, the third is a form of social networking support amounted to 56.5%, in fourth form of support awards amounted to 34.8% and the fifth in the form of emotional support amounted to 23.6%. Keywords: social support virtual friends, instagram, late adolescence
Art and Transport: Background Music at The Train Stations in Java Island, Indonesia Rahmawati, Ainun; Dewanti, Dewanti; Parikesit, Danang; Timms, Paul; Barnard, Yvonne
ASTONJADRO Vol. 13 No. 3 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i3.15809

Abstract

Nowadays, music plays an essential role in train stations. Many train stations offer music in various forms. This study focuses on the background music, defined as music prepared and recorded in advance by the train station manager and played at certain times with a specific duration in the stations. The songs or musical instruments played in Java Island, Indonesia, are folk songs that reflect the identity of each region. The objectives of the study are to analyse the background music selection in the train station globally, to identify the purpose of background music used in the train stations from the railway company perspective, to identify the criteria and characteristics of folk songs used as background music, and to analyse the passengers’ perspective on background music at the train station. The research utilised a qualitative case study research methodology. The methods used include online research and literature reviews to answer the first objective regarding background music selection at train stations globally. Then in-depth interviews with rail service providers and the rail service users. The conclusions obtained are: 1) the Japan Railway Company create unique melodies for each line and station to help the train passengers remember specific locations and lines and guide the passengers to steps and orderly queues during peak hours; 2) KAI's purpose in playing background music at the station is for additional services for passengers as well as a sign that the train has arrived and to provide a regional identity as one of the local cultures; 3) the percentage of background music is dominated by instrumentals with traditional arrangements; 4) About 80% of the respondents who were interviewed said that the songs played at the station had a place for bonding with the location, others are nostalgic, proud, peaceful and relaxed.
Short-Term Prediction of Bus Station Fleet Number Using a Combination of BiLSTM Models Siswanto, Joko; Rahmawati, Ainun; Rahardja, Untung; Putra, Nanda Dwi; Hakim, Muhammad Iman Nur; Pinandita, Tito; Prasetyo, Ilham Bagus
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13402

Abstract

Predicting the number of bus station fleets requires a holistic approach, using sophisticated data analysis techniques and appropriate predictive modeling. Short-term predictions of bus station fleet numbers are proposed based on the best MAPE evaluation values ​​from the comparison of the Bi-LSTM, BiLSTM-CNN, BiLSTM-Transformer, BiLSTM-Informer, and BiLSTM-Reformer models. The dataset used is in the form of a CSV consisting of 6 types of arrivals and departures of the Giwangan City Yogyakarta type A bus station fleet from 01/01/2021 to 09/30/2023. The best prediction model was found in BiLSTM-Transformers based on a MAPE value of 0.2211 with a relatively fast time (00:00:52) compared to BiLSTM, BiLSTM-CNN, BiLSTM-Informer, and BiLSTM-Reformer. The BiLSTM-Transformer model can short-term predict 6 types of fleet arrivals and departures at the bus station in the next 30 days. The peak of the bar and curve is at 0 which means the proposed prediction model is very accurate. There is 1 strong positive correlation, 2 weak positive correlations, 2 strong negative correlations, 8 weak negative ones, and 2 uncorrelated ones. Prediction results can be used to support short-term decision making in fleet planning and management based on the dynamics of community mobility.
Predictive Modeling of Microsleep Incidents in Indonesian Drivers Using Random Forest: A Data-Driven Approach for Road Safety Enhancement Lestari, Astri; Rahmawati, Ainun; Shofiah, Siti; Siswanto, Joko; Putra, Benny Hamdi Rhoma
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 4 No. 2 (2025)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v4.i2.39984

Abstract

Microsleep presents a critical safety challenge for Indonesian drivers, particularly affecting long-distance transportation where existing detection methods remain costly and impractical for widespread deployment. This study introduces a novel application of Random Forest algorithm specifically tailored to Indonesian driving contexts, utilizing locally-sourced accident data combined with driver behavioral surveys to predict microsleep likelihood. Unlike previous studies that relied primarily on physiological monitoring or international datasets, this research leverages accessible vehicle and environmental variables including driving duration, road conditions, weather patterns, and work schedules from National Transportation Safety Committee (KNKT) records spanning 2013-2023. The Random Forest model, configured with 100 trees and maximum depth of 10, demonstrated 87.50% overall accuracy with perfect recall (1.00) for microsleep detection when validated using stratified k-fold cross-validation. This study uniquely contributes to the field by demonstrating that context-specific environmental and behavioral factors can effectively predict microsleep incidents without expensive physiological monitoring, offering a practical foundation for developing cost-effective vehicle safety systems tailored to Indonesian road conditions and driving patterns. The findings provide actionable insights for transportation policy development and establish a framework for implementing affordable microsleep detection in developing countries with similar traffic characteristics.
Analisis Konsep Transit Oriented Development (TOD) Di Kawasan Stasiun Tugu Yogyakarta Faizal, Ar Rofiqi Mohamad; Rahmawati, Ainun
Jurnal Konstruksi dan Infrastruktur : Teknik Sipil dan Perencanaan Vol 13 No 2 (2025): Jurnal Konstruksi dan Infrastruktur Vol 13 No.2 : Oktober 2025
Publisher : Civil Engineering Department, Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jki.v13i2.10639

Abstract

The concept of Transit Oriented Development (TOD) is an urban planning approach that emphasizes the integration of public transportation and land use to create sustainable, efficient, and pedestrian-friendly urban areas. This study aims to analyze the level of conformity in the implementation of the TOD concept in the Tugu Station area of Yogyakarta. The data collection methods employed include direct observation and documentation, while the analytical method adopts TOD indicators based on guidelines from ITDP (2017), the Florida TOD Guidebook (2012), and the Indonesian Ministry of Agrarian Affairs Regulation No. 16 of 2017. The assessment of conformity was carried out by measuring variables such as building density, land-use mix, pedestrian network quality, and integration of transportation modes. The results indicate that certain aspects of the area meet TOD criteria, such as the availability of pedestrian pathways and diversity in land use functions. However, deficiencies were also identified in parameters such as pedestrian connectivity, area density, and infrastructure for non-motorized transport. The TOD evaluation score for the Tugu Station area in Yogyakarta was found to be 40.1%, which falls into the bronze standard category, indicating that TOD development in the area is still at an early stage. Although efforts have been made to provide access to public transportation, further improvements are required to meet higher standards, particularly in the indicators of density, land-use mix, walkability, and cycling infrastructure. This research is expected to serve as a reference for transit-oriented area development in other Indonesian cities facing similar challenges in integrating transportation and land use.
Co-Authors Barnard, Yvonne Benny Hamdi Rhoma Putra Danang Parikesit Dewanti Dewanti Faizal, Ar Rofiqi Mohamad Joko Siswanto Lestari, Astri Muhammad Iman Nur Hakim Prasetyo, Ilham Bagus Putra, Nanda Dwi Siti Shofiah Timms, Paul Tito Pinandita Untung Rahardja Yuni Nurhamida