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PENYULUHAN KESELAMATAN BERLALU LINTAS PADA SMK NEGERI 2 SUBANG Joko Siswanto; Tri Susila Hidayati; Suprapto Hadi; Brasie Pradana Sela Bunga Riska Ayu
Abdimas Galuh Vol 5, No 1 (2023): Maret 2023
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v5i1.10002

Abstract

Pelanggaran lalu lintas merupakan salah satu kejadian yang tidak sesuai antara aturan dan pelaksanaan. Pelanggaran yang dilakukan oleh pelajar dapat ditekan dan ditindak lanjuti dengan memperkuat penerapan perilaku keselamatan berkendara. Pemberian penyuluhan berupa sosialisasi kedisplinan berlalu lintas di sekolah dapat memberikan pembekalan dan pemahaman kepada siswa mengenai pentingnya disiplin berlalu lintas. Kegiatan penyuluhan keselamatan berlalu lintas diselenggarakan pada SMK Negeri 2 Subang dengan 4 aspek materi yaitu rambu lalu lintas, marka jalan, bagian jalan, dan persimpangan jalan. Pelaksanaan kegiatan penyuluhan meliputi 3 tahapan (identifikasi, penyuluhan, dan evaluasi). Partisipan sebanyak 146 siswa yang terdiri atas 46 anggota Organisasi Siswa Intra Sekolah(OSIS) dan 100 anggota Patroli Keamanan Sekolah(PKS). Kebutuhan kegiatan penyuluhan diidentifikasi dengan media, alat peraga atau praktikum, ruangan, dan perlengkapan. Hasil peningkatan pengetahuan dan pemahaman tentang keselamatan berlalu lintas seluruh partisipan pada 4 aspek di atas 80%, sehingga dapat menjadi bekal pada kehidupan di sekolah, rumah, dan lingkungan.
Aplikasi Sistem Pakar Klasifikasi Kesehatan Lingkungan Permukiman Dengan Metode Certainty Factors Joko Siswanto; Joko Siswanto; Anas Azhimi Qalban; Sri Nilawaty Lahay
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 2 (2023): April 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i2.787

Abstract

Settlements environmental health requirements that continue to grow and develop include 7 aspects. Stakeholders have difficulty classifying the environmental health of settlements, it takes a long time, is not accurate, and is incomplete. The settlements environmental health expert system application is built on a website using the Certainty Factor Method. Expert system application development adopts the Expert System Development Life Cycle (ESDLC) method. Applications are designed starting from reasoning and scoring, database design, context diagrams, and system flow charts. Expert system applications based on design were developed using the Notepad++ editor to write Hypertext Preprocessor (PHP) programs with the CodeIgniter framework. XAMPP is used to run databases using MySQL and Apache for local servers. The results of the comparison between manual calculations and applications have the same score. This can be used as evidence that the expert system application built can be used to help classify settlements environmental health. The results of the classification can be used as a reference for policies and forms of environmental health reporting in settlements every year by stakeholders.
Artificial Intelligence in Road Traffic Accident Prediction Joko Siswanto; Alfath Satria Negara Syaban; Hariani Hariani
Jambura Journal of Informatics VOL 5, NO 2: OCTOBER 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jji.v5i2.22037

Abstract

The rapid development of AI shows its power and great development potential in practical engineering applications. Critical issues and potential solutions can reduce road traffic accidents and application of AI in road accident prediction. The published use of AI for road accident prediction is reviewed, presented, and represented as the main objective. The methods are collecting article data, quotations, presentation, and representation. The article data collection was obtained from 671 conference and journal articles in 2019-2023, but the suitability of articles that can be used is 69. Quotation produces a grouping of approaches, models, predictions, and benefits. The presentation showed that most approaches used were machine learning, the most used model was random forest, the prediction was mostly about severity, and the most benefit was about number reduction. Representation produces road accidents and related factors into factors in road accident predictions using artificial intelligence, so strategies and anticipation can be made to overcome them to improve road safety. AI in road accident prediction plays an important role in building predictive models with the hope that road accidents can be identified early, risk factors can be reduced, and effective preventive measures can be taken to improve road safety.
Road Transportation Safety Through Community Empowerment Joko Siswanto; Suprapto Hadi; Ramadhan Dwi Pasetyo; Bagus Ikapraja
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2024): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v7i1.4388

Abstract

Some communities have limited access to road transport safety education programs. Not all communities are actively involved in efforts to empower road transportation safety and have the perception that the risk of accidents is something that cannot be avoided. Community empowerment regarding road transportation safety includes 4 stages (preparation, provision of pre-test, community empowerment phase, and provision of pre-test) with community results on road transportation safety. 60 people from PAUD Teachers and Transportation Service Employees were participants for 2 days with 7 topics. The majority of participants consisted of teachers (83.3%), women (90%), bachelor's degrees (60%), and over 46 years of age (51.5%). Pre-test 7 topics still below 30%. The first day's activities were phase 1 to phase 4 and the second day was phase 5 to phase 7. Post-test 7 topics were above 75%. 7 topics have increased above 50%. The improvements that occur can be the beginning of realizing road transportation safety for society.
ANALYSIS OF OPAC SATISFACTION LEVEL IN POLITEKNIK KESELAMATAN TRANSPORTASI JALAN LIBRARY WITH PIECES FRAMEWORK Bagus Ikapraja; Joko Siswanto
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.47-55

Abstract

OPAC has a significant effect on the quality of user service satisfaction, both partially and simultaneously. The problems with OPAC in higher education libraries are that information on book locations is not appropriate, information on book availability is less valid, lack of knowledge, lack of computer facilities, and barriers to access to information. The OPAC SliMS satisfaction analysis of the Tegal Road Transportation Safety Polytechnic Library is proposed with 4 research stages consisting of the identification stage, indicator development, data analysis, results and findings. PIECES (Performance, Information, Economy, Control, Efficiency and Service Framework) was adopted to compile indicators and analyze the level of satisfaction of 263 respondents. Data analysis is based on 30 questions in the questionnaire given to respondents in January 2023. The results of the analysis show that efficiency has a level of satisfaction was the highest with a score of 4.10 which was in the very satisfied category, while performance had the lowest level of satisfaction with a score of 3.96 which was in the satisfied category. These results can be used as a reference for making improvements to improve the quality of library services from the perspective of user satisfaction of the SLiMS OPAC application.
Number of Cyber Attacks Predicted With Deep Learning Based LSTM Model Joko Siswanto; Irwan Sembiring; Adi Setiawan; Iwan Setyawan
JUITA: Jurnal Informatika JUITA Vol. 12 No. 1, May 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i1.20210

Abstract

The increasing number of cyber attacks will result in various damages to the functioning of technological infrastructure. A prediction model for the number of cyber attacks based on the type of attack, handling actions and severity using time-series data has never been done. A deep learning-based LSTM prediction model is proposed to predict the number of cyberattacks in a time series on 3 evaluated data sets MSLE, MSE, MAE, RMSE, and MAPE, and displays the predicted relationships between prediction variables. Cyber attack dataset obtained from kaggle.com. The best prediction model is epoch 20, batch size 16, and neuron 32 with the lowest evaluation value on MSLE of 0.094, MSE of 9.067, MAE of 2.440, RMSE of 3.010, and MAPE of 10.507 (very good model because the value is less than 15) compared other variations. There is a negative correlation for INTRUSION-MALWARE, BLOCKED-IGNORED, IGNORED-LOGGED, and LOW-MEDIUM. The predicted results for the next 12 months will increase starting from the second month at the same time. The resulting predictions can be used as a basis for policy and strategy decisions by stakeholders in dealing with fluctuations in cyber attacks that occur.
Sistem Informasi Layanan Pengaduan Inventarisasi Jalan Berbasis Website Widyaningrum, Shiska Wahyu; Alfianti, Pramesti Gita; Irianti, Faizah; Siswanto, Joko
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.863

Abstract

There was a lot of damage to road equipment facilities that were no longer functioning. There are public complaints about the condition of damaged roads which seem to be ignored because of the unavailability of effective facilities for the community and government in dealing with the problem. The need for online media to submit reports and public complaints against road equipment facilities. The development of this application is based on a website about road inventory damage complaint services. The resulting features are in the form of a menu of road equipment explanations and complaint forms accessed by users. For admins can access the feature of registering incoming reports and responding to complaints. Designed using research methods (Extreme Programming) with stages of planning, design, coding, and testing. The benefit of this application is that it makes it easier for the public to report damage to road inventory and helps stakeholders in knowing road information.
Aplikasi Layanan Pengaduan Kerusakan Jalan (APZARD) Immanuel, Candra Great; Putro, Dimas Nugroho; Varadinta, Salsabilla; Siswanto, Joko
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.864

Abstract

Many roads suffer potentially harmful damage to road users. The slow pace of road repair and limited surveillance are constraints to create a road that is safe for the user. The APZARD application is a service of road damage between people and governments so that a faulty road can be found and repaired quickly. The research method used is the waterfall method with the steps of analysis, design, code and test. Results from the study indicate that the application could be run and used by the public to file road damage received by admin and then proceed to road repair. The APZARD application helps the government watch over the damaged roads and follows up complaints from road related damages.
Rancang Bangun Aplikasi Aksi Sadar Keselamatan Jalan Berbasis Android Mustaqbal, Zhilal Akbar; Pramesti, Meisya Nira; Mifta, Eka; Siswanto, Joko
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.865

Abstract

High school students understanding of road safety regulations is still lacking causing traffic violations to increase among teenagers. This is due to the lack of road safety learning media. The android-based road safety action awareness application (SIAR SENJA) was built using app inventor software to increase understanding of road safety. SIAR SENJA application development uses the agile development method consisting of ideas, planning, development and evaluation. The SIAR SENJA application helps high school students understand road safety and be aware of the hazards involved, so that they can become pioneers of road safety in everyday life. SIAR SENJA application development can be done by adding animated video features and improving the display quality of the application.
Video Gim Sopan (Keselamatan Transportasi Jalan) untuk Siswa Sekolah Dasar Yoga, Mahendra; Sugiyanto, Mohammad Ibrahim; Mohamad, Ar Rofiqi; Siswanto, Joko
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.866

Abstract

The behavior of motorized vehicle drivers who violate traffic rules is one of the most significant factors causing traffic accidents on the road. This is due to low traffic awareness. Low traffic awareness due to a lack of understanding of traffic rules. An Android-based polite game application was built to increase awareness of motorized vehicle drivers. Polite game development uses the waterfall method with supporting software such as Unity, Photoshop, and Visual Studio. Polite games can help you understand and be aware of the dangers that are on the road. The development of polite games can be done by adding game levels with other road safety theories.