Article Per Year (5 Year)
p-Index From 2021 - 2026
3.299
P-Index
This Author published in this journals
All Journal Jurnal Teknik Teknosains: Media Informasi Sains dan Teknologi JUITA : Jurnal Informatika JOIN (Jurnal Online Informatika) JURNAL INSTEK (Informatika Sains dan Teknologi) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Aptisi Transactions on Technopreneurship (ATT) Jurnal Teknologi Dan Sistem Informasi Bisnis Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Proceedings Series on Physical & Formal Sciences Jurnal Teknoif Teknik Informatika Institut Teknologi Padang The Indonesian Journal of Computer Science Research Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Joko Siswanto
Politeknik Keselamatan Transportasi Jalan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Physics Social Sciences

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
INDUKSI KESELAMATAN PENUMPANG ANGKUTAN UMUM BUS MENGGUNAKAN APLIKASI BERBASIS WEB Febrianta, Arjuna Rizky; Siswanto, Joko; Oktopianto, Yogi
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 9 No 2 (2024): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v9i2.48283

Abstract

Risiko bahaya yang besar terhadap penumpang angkutan umum bus disebabkan pelayanan induksi keselamatan yang masih kurang. Aplikasi berbasis website yang berisi informasi dan video tentang induksi keselamatan penumpang angkutan umum bus di PO. New Shantika dibangun dengan menggunakan metode pengembangan ADDIE (analyze, Design, Development, Implementation, Evaluation). Metode IPA (Importance Perfomance Analysis) digunakan untuk menganalisis kebutuhan, storyboard dan UML digunakan untuk melakukan perancangan, capcut dan wordpress digunakan untuk pengembangan, dan metode SUS (System Usability Scale) digunakan untuk pengevaluasian. Analisis kebutuhan dengan IPA menghasilkan 8 indikator pada kuadran 1 dan 1 indikator pada kuadran 2 yang tersaji pada diagram kartesius. Aplikasi yang dibangun berisi tentang 9 penjelasan dan video induksi keselamatan. Pengujian aplikasi menggunakan SUS mendapatkan nilai rata-rata sebesar 74,7(B) yang berarti penumpang sebagai pengguna menerima penggunaan aplikasi yang dibangun. Aplikasi yang dibangun dapat dimanfaatkan sebagai upaya peningkatan keselamatan penumpang angkutan umum bus.
HEALTH SERVICE QUALITY VALUES OF PRIMARY CLINIC USING EPARTICIPATION SERVICE QUALITY ASSESSMENT Siswanto, Joko; Lisangan, Erick Alfons; Zaenudin, Zaenudin
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 3 (2023): JUTIF Volume 4, Number 3, June 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.3.934

Abstract

The use of technology to manage participation in the quality of health services needs to be carried out to produce relevant, valid and accurate assessments of service quality. Not all Primary Clinics have health service quality standards and quality evaluation data for participation services using information technology (via electronic media). This is crucial for evaluating clinic development, upgrading the status to Main Clinic, and improving the service quality. The methodology used adopts the eParticipation framework with the stages of Areas of Participation (determining the main areas of participation), Category of Tools (determining the categories of ICT support tools), and Technology (determining ICT support technologies). The participation area is limited to Primary Clinic patients who act as participants of 1,308 people. 14 elements with a total of 33 detailed elements are the basic elements for assessing service quality. Application of eParticipation SQA website-based is used to manage and present the results of service quality assessments by Primary Clinic Managers. The highest average service quality assessment is in the answers to Good (62%), the Worse and Poor options are minimized, and the options of Good and Very Good are maximized. The technology required consists of software, hardware, and network devices. The application is supported by Manager and is used easily, quickly, and precisely.
Design and Build The Dokestrans Application For Document Management of The Perum Damri Safety Management System Moh. Adam Asshofi; Joko Siswanto; Nurul Fitriani
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 2 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i2.90

Abstract

The Safety Management System (SMK) documents at the Public Transportation Company (PAU) Perum Damri are currently stored using Google Drive, leading to inefficiencies such as document loss, difficulty in locating specific files, and disorganized storage. These challenges hinder the effective compilation and management of SMK PAU documents, potentially impacting safety and compliance standards. To address these issues, the "Dokestrans" archiving system was developed as a comprehensive document management solution using the 4D methodology, which includes definition, design, development, and dissemination phases. The Dokestrans system streamlines document organization, provides graphical reports of documents collected per year or per element, and issues notifications for deficiencies in sub-elements, ensuring timely updates and compliance. Usability testing using the System Usability Scale (SUS) yielded an average score of 86, indicating excellent user satisfaction, while Blackbox testing confirmed the validity of all features. The implementation of Dokestrans significantly improves efficiency, accuracy, and organization in managing SMK PAU documents, contributing to enhanced safety management and operational effectiveness for public transportation companies.
Metode AHP Untuk Sistem Pendukung Keputusan Sekolah Sadar Lalu Lintas Joko Siswanto; I Made Suartika; Rahadian Satya Mahaddhi
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 1 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.1.222

Abstract

Traffic conscious school covers various aspects that influence the effectiveness and accuracy of traffic education program evaluation. A structured and comprehensive approach is needed involving all stakeholders to update and adapt the traffic conscious school strategy to suit needs and developments. DSS is proposed to support traffic conscious school decisions using the website based AHP method. DSS was built adopting the XP Model with planning, design, coding and testing stages. Planning consists of functional and non functional requirements. The design contains application designs and AHP calculation designs with a CR value of 0,04 for 5 criteria 4 sub criteria, which means they are consistent. The highest priority value is 048 for the teacher and human environment criteria, while the lowest is for the object environment criteria. The test results show there is no difference between manual calculations and the proposed system. DSS can support stakeholder decisions to adopt traffic conscious school policies and strategies.
Predicting Transjakarta Passengers with LSTM-BiLSTM Deep Learning Models for Smart Transportpreneurship Siswanto, Joko; Hendry, Hendry; Rahardja, Untung; Sembiring, Irwan; Lisangan, Erick Alfons
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.440

Abstract

Travel pattern variations pose challenges in building a prediction model that accurately captures seasonal patterns or precision of BRT passenger numbers. An approach that integrates sophisticated prediction algorithms with high accuracy is needed to address the Transjakarta BRT passenger number prediction model problem. The proposed prediction model with the best accuracy is sought using deep learning on 8 models. The prediction model is used for short-term and long-term predictions, as well as looking for correlations in the prediction results of 13 Transjakarta corridors. The Python programming language with the Deep Learning Tensor Flow framework is run by Google Colaboratory used in the prediction simulation environment. The combination of BiLSTM-CNN was found to have the best accuracy of the evaluation value (SMAPE = 15.9387, MAPE = 0.598, and MSLE = 0.0425), although it has the longest time (134 seconds). Fluctuations in short-term predictions of passenger numbers evenly occur simultaneously across all corridors. Fluctuations in long-term predictions evenly occur simultaneously across all corridors, except in February. There is no negative correlation in the 13 prediction results and there are 8 corridors that have a close positive correlation. The prediction results can be used by transportation operators and the government to optimize resource planning and transportation policies to support sustainable community and economic mobility.
Optimalisasi Kinerja Ruas Jalan Dengan Metode PKJI 2023 dan Aplikasi PTV Vissim Pratma, Najwan; Aprianto, Rizal; Siswanto, Joko
Jurnal Teknik Vol 23 No 1 (2025): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v23i1.607

Abstract

The suboptimal performance of road segments is a major issue in the transportation system that causes congestion and a decrease in mobility efficiency. Kaliurang Road in Sleman Regency has poor road performance, resulting in disrupted inter-regional connectivity. Optimization of road segment performance is proposed through performance analysis and traffic engineering scenario simulation. PKJI 2023 is used to analyze performance and PTV Vissim 2025 is used for simulating the testing of 30 optimization scenarios. Data was collected through direct surveys and documentation from the Transportation Department. Simulation validation uses GEH for vehicle volume and MAPE for speed with an analysis of five variables (vehicle speed, travel time, vehicle density, occupancy rate, and relative delay). Scenario 30, with a combination of lane additions, road widening, removal of on-street parking, one-way systems, and vehicle type hour restrictions, resulted in the best optimization with an 11.57% increase in speed, a 30.93% reduction in travel time, a 67.74% reduction in density, a 64.76% reduction in occupancy rate, and a 92.66% reduction in relative delay. The optimization results can be used as a strategic step for stakeholders in formulating policies to improve road segment performance to support sustainable inter-regional connectivity.
Aplikasi induksi keselamatan alat survei inspeksi keselamatan jalan Prasetiyo, Wahyu Jati; Siswanto, Joko; Oktopianto, Yogi
Teknosains Vol 18 No 3 (2024): September-Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v18i3.48822

Abstract

Pelaksanaan survei inspeksi keselamatan jalan (IKJ) tidak lepas dari kemungkinan terjadinya kecelakaan kerja dari kendaraan yang lewat maupun pengguna jalan yang melintas. Pelaksanaan survei IKJ memiliki risiko tinggi dikarenakan kurangnya pemahaman induksi keselamatan survei. Pengembangan sistem induksi keselamatan melalui video berbasis aplikasi. Pembuatan aplikasi  menggunakan metode Rapid Application Development (RAD) dengan tahapan perencanaan, workshop desain, implementasi. Perencanaan aplikasi induksi keselamatan meliputi perangkat lunak (XAMPP, Visual Studio Code, Google Chrome, dan MySQL) dan perangkat keras (Laptop Acer Nitro 5, kamera iPhone 11). Workshop desain menghasilkan rancangan tampilan video berupa storyboard dan aplikasi menggunakan Unfied Modelling Language (UML). Aplikasi induksi keselamatan bisa diakses kapanpun dan di manapun oleh para surveyor. Pengujian aplikasi dengan metode SUS dan mendapat hasil 77 dan memenuhi syarat. Pengembangan aplikasi induksi keselamatan berbasis aplikasi dapat mengurangi risiko kecelakaan yang disebabkan karena kurangnya informasi dan edukasi pekerja tentang kesehatan dan keselamatan.
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.
Artefak Sejati (Sistem Informasi Penjaminan Mutu Internal) Dengan Framework Codeigniter Siswanto, Joko; Humami, Faris; Tohom, Frans; Tsani, Mokhammad Rifqi
The Indonesian Journal of Computer Science Research Vol. 4 No. 1 (2025): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v4i1.191

Abstract

SPMI perguruan tinggi menghadapi sejumlah tantangan yang perlu diatasi untuk memastikan efektivitasnya. Perguruan tinggi perlu melakukan upaya yang berkelanjutan untuk membangun budaya yang mendukung inisiatif penjaminan mutu. Berbagai tantangan dan permasalahan SPMI terjadi pada Politeknik Keselamatan Transportasi Jalan(PKTJ). Artefak SEJATI (Sistem Informasi Penjaminan Mutu Internal) dengan mekanisme PPEPP menggunakan Framework CodeIgniter yang dikembangkan dengan Design Science Research Methodology(DSRM) menjadi solusi yang ditawarkan untuk menyelesaikan tantangan dan permasalahan yang dihadapi. Kesadaran permasalahan terhadap sistem manual, anjuran berupa desain artefak(mockup dan UML), pengembangan dengan Framework CodeIgniter dengan hasil aplikasi SEJATI berbasis website, evaluasi dengan kategori Baik, simpulannya artefak berorientasi solusi praktis, kontribusinya mendukung manajemen mutu pendidikan tinggi. Artefak menjadi model penerapan teknologi perangkat lunak(kolaborasi UML dan CodeIgniter) pada mutu pendidikan dengan pendekatan berbasis masalah, pengembangan terstruktur, dan evaluasi responsif. Sistem yang dihasilkan menjadi solusi nyata mempermudah manajemen mutu di PKTJ
Deep Learning Based LSTM Model for Predicting the Number of Passengers for Public Transport Bus Operators Siswanto, Joko; Manongga, Danny; Sembiring, Irwan; Wijono, Sutarto
JOIN (Jurnal Online Informatika) Vol 9 No 1 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i1.1245

Abstract

The bus public transportation system has low reliability and ability to predict the number of passengers. The accuracy of predicting the number of passengers by public transport bus operators is still weak, which results in failure to implement solutions by operators. A prediction model with LSTM based on deep learning is proposed to predict passengers for 4 bus public transportation operators (Go Bus, New Zealand Bus, Pavlovich, and Ritchies) which are evaluated by MSLE, MAPE, and SMAPE with variations in epoch, batch size, and neurons. The dataset is a CSV performance report on Auckland Transport (AT) New Zealand metro patronage buses (01/01/2019-07/31/2023). The best prediction model was obtained from the lowest evaluation value and relatively fast time at variations of epoch 60, batch size 16, and neurons 32. The prediction results on training and testing data improved with the suitability of the model tuning. The proposed prediction model performs predictions 12 months later for 4 predictions simultaneously with predicted fluctuations occurring simultaneously. Strong negative correlation on New Zealand Bus-Pavlovich, strong positive correlation on Go Bus with Ritchies and Pavlovich. Predictions that are less closely related and dependent are New Zealand Bus against Go Bus, Pavlovich, and Ritchies. The proposed prediction modeling can be used as a basis for creating operator policies and strategies to deal with passenger fluctuations and for the development of new prediction models.
Co-Authors Adi Setiawan Ainun Rahmawati Alfianti, Pramesti Gita Anas Azhimi Qalban Anggari Nuryono, Aninditya Aprianto, Rizal Bagus Ikapraja Benny Hamdi Rhoma Putra Brasie Pradana Sela Bunga Riska Ayu Danny Manongga Erick Alfons Lisangan Evi Maria Evi Maria Febrianta, Arjuna Rizky Frans Tohom Hendry Humami, Faris I Made Suartika Immanuel, Candra Great Irianti, Faizah Irwan Sembiring Iwan Setyawan Joko Siswanto Lestari, Astri Mifta, Eka Moh. Adam Asshofi Mohamad, Ar Rofiqi Muhammad Iman Nur Hakim Mustaqbal, Zhilal Akbar Nurul Fitriani Pramesti, Meisya Nira Prasetiyo, Wahyu Jati Pratma, Najwan Putro, Dimas Nugroho Rahadian Satya Mahaddhi Ramadhan Dwi Prasetyo Siti Shofiah Sri Nilawaty Lahay Sri Yulianto Joko Prasetyo Sugiyanto, Mohammad Ibrahim Suprapto Hadi Sutarto Wijono Tri Susila Hidayati Tsani, Mokhammad Rifqi Untung Rahardja Untung Rahardja Varadinta, Salsabilla Widyaningrum, Shiska Wahyu Yoga, Mahendra Yogi Oktopianto Zaenudin Zaenudin