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All Journal Syntax Literate: Jurnal Ilmiah Indonesia JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION ILKOM Jurnal Ilmiah Journal on Education Almana : Jurnal Manajemen dan Bisnis Borneo Engineering: Jurnal Teknik Sipil Jurnal Teknik Mesin Indonesia JURNAL TEKNIK Jurnal Fisika Indonesia Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknologi Transportasi dan Logistik JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Pengabdian West Science Jurnal Psikologi dan Konseling West Science Jurnal Riset Teknik Sipil dan Sains Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Jurnal Keselamatan Transportasi Jalan Journal of Moeslim Research Technik Research of Scientia Naturalis
Siti Shofiah
Politeknik Keselamatan Transfortasi Jalan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Pengaruh Model Pembelajaran Inquiry Dan Gaya Kognitif Field Independent (FI) & Field Dependent (FD) Terhadap Hasil Belajar Siswa Suyuti Suyuti; Sri Yunita Ningsih; Peni Susapti; Muh. Safar; MS. Viktor Purhanudin; Siti Shofiah
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine the effect of the inquiry learning model on students' mathematics learning outcomes, the effect of students' cognitive styles on students' mathematics achievement, and the effect of the interaction between the use of learning models and students' cognitive styles on students' mathematics achievement in class VIII (Eight) of SMP Negeri 6 Salatiga for the 2022/2023 academic year. This research was conducted using a quasi-experimental research method by applying a 2 × 2 factorial design. The study population was students of SMP Negeri 6 Salatiga Regency Class VIII even semester of the 2022/2023 academic year. The research sample consisted of 2 experimental classes and 1 control class. Data collection was carried out using two kinds of instruments, namely the Group Embedded Figures Test (GEFT) instrument to measure students' cognitive styles and the instrument to test students' mathematics learning outcomes in the form of essays. The statistical test used is to use a two-way ANOVA to see the effect of learning models and the influence of cognitive style on mathematics achievement as well as the interaction between learning models and students' cognitive styles on students' mathematics achievement. Further testing uses the t test to see differences in student learning outcomes based on students' cognitive styles. The results of data analysis and statistical tests showed that the inquiry learning model had an effect on mathematics achievement, students' cognitive styles had an effect on mathematics learning outcomes, there was no interaction between learning models and cognitive styles on students' mathematics achievement. Based on the results of this research, it is suggested to teachers, especially mathematics teachers, that the application of the inquiry learning model be developed as an innovation in the teaching and learning process.
Pengaruh Blower Terhadap Hasil Uji Kadar Emisi Gas Buang (CO, HC, NOx, Asap) Berbasis Mikrokontroler SITI SHOFIAH
Jurnal Teknik Vol 12, No 2 (2023): Juli - Desember 2023
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v12i2.8333

Abstract

Motorized vehicles produce 60-70% of the largest air pollution compared to industry which only produces 10-15%. The working process of vehicles produces major pollutants in the form of nitrogen oxides (NOx), carbon monoxide (CO), sulfur oxides (SO2), hydrocarbons (HC) and lead (Pb). Motor vehicle emissions can affect motor vehicle inspection facilities from a health perspective. This research was conducted at exhaust emission locations, elevator shafts and brake test equipment with emission level gauges equipped with sensors MQ2, MQ7, MQ135, DHT11, TGS2611 and blowers to standardize emission levels (CO, HC, NOx, smoke and room temperature). ) This study aims to monitor and standardize CO, HC, NOx and smoke levels. Based on the research, it has been obtained data from emission reduction tests (CO, HC, NOx and smoke) based on a microcontroller which has been successfully implemented using a blower. The results showed that after the blower was turned on, the concentrations of CO, HC and smoke decreased the most in the brake tester room, namely 1.95 ppm, 2.06 ppm and 1.21 ppm, while the highest decrease in NOx levels occurred in the pit lift of 82 ppm.
Efisiensi Rem Utama dan Rem Parkir Kendaraan Mobil Barang Dengan Variasi Tekanan Angin Ban Azalia, Noni Gytha; Siti Shofiah; Ambarita, Sihar
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 4 (2023): Desember : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i4.2794

Abstract

Tire pressure requirements may vary for different vehicles depending on factors such as the brand, load, and tire type. Inadequate tire pressure can result in suboptimal braking performance. This study aims to examine the impact of tire pressure variations on the efficiency of the main brake and parking brake in vehicles. The brake tester was utilized to conduct experiments on pickup goods vehicles with a GVWR less than 3,500 kg. The findings reveal that tire pressure has a significant influence on the efficiency of the main brake and parking brake. Higher tire pressure corresponds to lower efficiency values for both brakes, while lower tire pressure yields higher efficiency values. It is crucial to raise awareness among vehicle owners about the importance of maintaining proper tire pressure as it directly impacts braking performance and overall vehicle safety.
Driver Facial Detection Across Diverse Road Conditions Shofiah, Siti; Sediyono, Eko; Hasibuan, Zainal Arifin; Kristianto, Budhi; Setiawan, Santo; Pratindy, Raka; Hakim, M. Iman Nur; Humami, Faris
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.1996.108-114

Abstract

This study emphasizes the importance of facial detection for improving road safety through driver behavior analysis. Its employs quantitative methodology to underscore the importance of facial detection in enhancing road safety through driver behavior analysis. The research utilizes the Python programming language and applies the Haar cascade method to investigate how environmental factors such as low light, shadows, and lighting changes influence the reliability of facial detection. Employing the AdaBoost algorithm, the study achieves face detection rates exceeding 95%. Practical testing with an ASUS A416JA laptop and Raspberry Pi under varied lighting conditions and distances demonstrates optimal performance in detecting faces between 30 cm and 70 cm, with reduced efficacy outside this range, particularly in low light conditions and at night. Challenges identified include decreased performance in low light conditions, emphasizing the need for improved algorithmic calibration and enhancement. Future research directions involve refining detection algorithms to effectively handle diverse environmental conditions and integrating advanced machine learning techniques, thereby enhancing the accuracy of driver behavior analysis in real-world scenarios and contributing to advancements in road safety
Nilai Guna IP Webcam Sebagai Alat Bantu Pemeriksaan Bawah Kolong Kendaraan Bermotor Shofiah, Siti; Griyo Arti, Tri; Gunawan, Gunawan
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 9 No. 2 (2022): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v9i2.445

Abstract

Under vehicle inspection is part of the vehicle inspection process and is the most important part of the vehicle because almost 80% of the most important parts of the vehicle cannot be seen directly under the vehicle. Observation of the vehicle with the help of IP Webcam with a qualitative descriptive approach. The equipment used in this study consisted of motor vehicles to be tested, Android phones handheld cameras, laptops/computers, monitors and HDMI/VGA cables, wireless/WiFi, printers. Processing of graded data with hypothesized mean. The results of the study show that an inspector can provide information about damage audio-visually and the vehicle owner can see it from the screen without having to go under the vehicle. Then 6 categories of utility values ​​were evaluated, indications of need, comfort, appearance, time to use an IP web camera at a high value/scale were obtained. Meanwhile, satisfaction and suitability on the value/moderate scale. Therefore, it can be concluded that the use of an IP web camera as a vehicle inspection tool has been successful.
System Usability Scale (SUS) Aplikasi Android Pemeriksaan Persyaratan Teknis Kendaraan Bermotor Fadia Qatrunada; Siti Shofiah; Rizal Aprianto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4361

Abstract

In testing motorized vehicles as an effort to open up information systems, namely by sending the results of testing vehicle specifications and storing a database of vehicle test results and if possible analyzing the results. However, the test results record can only explain the reasons for rejection, there are no pictures or recommendations for repairs as well as information on component damage based on technical requirements orally to the vehicle owner. Therefore, it is necessary to innovate the use of Android applications. Researchers used the System Usability Scale (SUS) test on the application to validate the technical requirements and determine its effectiveness on 20 respondents. Research and Development (R&D) methodology, Waterfall method with pre-use Blackbox testing to see if the results work properly. Verification results of vehicle requirements have been successfully carried out, including photos taken during inspection. If you enter the reason for the refusal, the data will be validated and the final results of filling out the application will be printed. The System Usability (SUS) scale is 80.75 acceptable, the grade level is category B, the adjective rating is in the excellent category. This means that the application can improve the vehicle specifications inspection service.
Pengenalan Wajah dengan Viola Jones Siti Shofiah; Brasie Pradana Sela Bunga Reska Ayu
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4363

Abstract

The Viola-Jones algorithm in OpenCV is efficient for detecting faces. The study is the accuracy of face detection using Viola-Jones on FCNN. The data is divided into training, testing, and validation sets. The FCNN model achieves high accuracy but suffers from overfitting. Techniques such as regularization and dropout can improve performance. The training duration is relatively short. FCNN machine learning model. The first layer is a hidden layer with 128 neurons and uses the ReLU (Rectified Linear Unit) activation function. The second layer is the output layer with ten drilled neurons showing excellent performance, with a training accuracy of 99.49% and a validation accuracy of 97.68%. This shows that the model successfully learned patterns from training data and applied them effectively to validation data.
Reliability-Centered Maintenance (RCM) Approach in Fleet Maintenance To Enhance Transportation Efficiency and Safety Sugianto; Muthoriq, Ery; Pranoto, Ethys; Arjuna, Kevin; Shofiah, Siti
Jurnal Teknik Mesin Indonesia Vol. 20 No. 1 (2025): Vol. 20 No. 1 (2025): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v20i1.878

Abstract

Efficient and reliable public transportation systems, particularly bus services, played a crucial role in regional mobility and economic development. However, maintenance challenges impacted service quality, as seen in PT. SPS – Solo’s Scania fleet. Traditional reactive maintenance methods proved insufficient, leading to increased operational costs and unexpected failures. This study applied Reliability-Centered Maintenance (RCM) to optimize maintenance policies, identifying critical components and establishing effective strategies. Failure Mode and Effect Analysis (FMEA) revealed the brake chamber as the most critical component, followed by the stabilizer and tie rod/slack adjuster. Maintenance interval analysis recommended Time-Directed (TD) intervals from 26,090 km to 35,084 km and Condition-Directed (CD) intervals from 25,900 km to 70,168 km, based on component degradation patterns. Cost analysis highlighted air bellows as the highest-cost component (Rp. 2,350,000), while brake chambers had the lowest cost (Rp. 150,000). The study demonstrated that RCM improved fleet reliability and reduced maintenance costs. Implementing structured maintenance schedules, training programs, and condition monitoring systems was recommended. These findings provided a foundation for enhancing longdistance bus operations and could be adapted for other transportation sectors to achieve cost-efficient and reliable fleet management.
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.
Optimalisasi Keselamatan Transportasi melalui Program Mikro Magang di Posko Natal dan Tahun Baru Siti Shofiah; Brian Adam Dwi Yulio; Farisy Yanuar W P; Haidar Dzaki; Iffan Bagus Dwi Saputra; Jihan Luis
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 3 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i3.2409

Abstract

Penelitian ini menganalisis pola pergerakan kendaraan dan faktor risiko kecelakaan selama periode Natal dan Tahun Baru (Nataru) 2024/2025 di beberapa kota utama di Jawa, serta mengevaluasi peran program mikro magang di posko pengamanan dalam upaya meningkatkan keselamatan transportasi. Pendekatan kuantitatif digunakan untuk menganalisis volume lalu lintas, komposisi kendaraan, kejadian kecelakaan, serta efektivitas intervensi keselamatan. Sepeda motor mendominasi komposisi kendaraan di Kota Semarang (59,3%), dengan lonjakan volume signifikan saat arus mudik (37,2%) dan arus balik (28,5%). Terdapat korelasi kuat antara volume sepeda motor dan tingkat kecelakaan (r = 0,72, p < 0,01), yang diperkuat oleh faktor risiko seperti waktu malam (r = 0,61) dan kondisi cuaca (r = 0,56). Ditemukan pula variasi regional, dengan dominasi sepeda motor di Sragen dan Banyumas (±65%) serta kendaraan kecil di Blitar (75%). Proyeksi Nataru 2025/2026 menunjukkan kenaikan volume sebesar 15%. Program mikro magang terbukti meningkatkan kesadaran keselamatan pengguna jalan sebesar 42% dan mendukung pendekatan integratif antara rekayasa lalu lintas dan edukasi keselamatan.
Co-Authors Aat Eska Fahmadi Aditya Prima F Agnes Angi Dian Winei Ahmad Basuki Ainun Rahmawati Ambarita, Sihar Aprianto, Rizal Arjuna, Kevin Astiti Astiti Ayu, Brasie Pradana Sella Bunga Riska Azalia, Noni Gytha Benny Hamdi Rhoma Putra Brasie Pradana Sela Bunga Reska Ayu Brasie Pradana Sela Bunga Riska Ayu Brian Adam Dwi Yulio Budhi Kristianto Bunga Riska Ayu, Brasie Pradana Sela Chai, Nong Dara, Ravi Devin Mahendika Dwi Wahyu Hidayat, Dwi Wahyu Edi Suharyadi Eka Krisdayanti Eko Sediyono Ery Muthoriq, Ery Fadia Qatrunada Fahmadi, Aat Eska Faishal Andhi Rokhman Farisy Yanuar W P Fernandez, Carlos Firdaus, Denisya Haddad Frans Tohom Gamar Al Haddar Griyo Arti, Tri Gunawan Gunawan Hadi, Suprapto Haidar Dzaki Hakim, M. Iman Nur Halimatus Sa'diyah, Nur Humami, Faris I Made Sukmayasa Iffan Bagus Dwi Saputra Indra Tjahyadi Ita Soegiarto Jihan Luis Joko Siswanto Kanindia Maulidhany Kanthi Pangestu Wijayanthi Khan, Jamil Khan, Omar Kurniawan, Moch. Aziz Lestari, Astri Lily Purwianti Mardikawati, Budi Mariadi Kaharmen, Herman Mohamad Yoga S MS. Viktor Purhanudin Muflihatun Muh. Safar Muhammad Iman Nur Hakim Nampira, Ardi Azhar Nurul Fitriani Nurul Huda Nuryati Solapari Peni Susapti Pranoto, Ethys Pratindy, Raka PUTRO, HANENDYO Rinovian Rais Risqi, Muhammad Isro Riza Phahlevi Riza Phahlevi Marwanto Rizka Amanda Choirani Rocha, Thiago Sentoso, Antony Setiawan, Santo Shafa Nadhifah M Sri Yunita Ningsih Sugianto Suprapto Hadi Suprapto Hadi Susanto, C Trisno Suyuti Suyuti Vann, Dara Wahyu Hidayat, Dwi Wibowo, Muhammad Riski Septiana Xiang, Yang Yogi Oktopianto Yohanes Susanto Zahir, Roya Zainal Arifin Hasibuan Zaki, Amin Zuhrianto, Farhan Afif