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All Journal Jurnal Transportasi Prosiding Forum Studi Transportasi Antar Perguruan Tinggi Indonesian Journal of Electrical Engineering and Computer Science DEVICE Jurnal Nasional Teknik Elektro dan Teknologi Informasi JUSTER: Jurnal Sains dan Terapan eProceedings of Art & Design Madani: Multidisciplinary Scientific Journal
Ircham
Institut Teknologi Nasional Yogyakarta
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APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA ., Resdiansyah; ., Ircham; Sandjoko, Otto
Jurnal Transportasi Vol 13, No 3 (2013)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB)

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
PERAN KEBIJAKAN TRANSPORTASI UNTUK MENDUKUNG AKSESIBILITAS DAN MOBILITAS PADA PENGEMBANGAN WILAYAH PERKOTAAN Ircham, Ircham; Munawar, Ahmad; Munthohar, Imam
Prosiding Forum Studi Transportasi Antar Perguruan Tinggi Vol 2 No 2 (2015): Prosiding Forum Studi Transportasi antar Perguruan Tinggi
Publisher : FSTPT Indonesia

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Abstract

A highly urbanization and private vehicle ownership has led to the development of cities becomes unmanageable as well as tends to be urban sprawl. Moreover, congestion, pollution and fossil fuels consumption are increased, along with the decreasing of the feasibility habitation as well. Therefore, we need to manage its growth by applying the right policies. One of them is green belt, which is rounding the existing city by green area. Furthemore, the developments of new settlement are directed outside the green belt and become satellite cities to the major cities.  The increasing of urbanization, make the demand in transportation will be increased as well; the requirements of accessibility and mobility have to be supported to keep them running well. Comparative analysis method is used in this research by determining policy transportation as a result of comparing transport policies from among these countries: China, Dutch, England, Malaysia and Indonesia. Transportation policies that are propossed including: restrictions on the amount of ownership of a vehicle, the construction of facilities ‘park and ride’ outside the green belt  and public transport facilities  towards the city center using railway or bus station in an integrated area services concept. Thus, it will allow the enhancement of accessibility and mobility of citizens.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA ., Resdiansyah; ., Ircham; Sandjoko, Otto
Jurnal Transportasi Vol 13, No 3 (2013)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB) | DOI: 10.26593/jt.v13i3.1346.%p

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION DEMAND MANAGEMENT: DEVELOPMENT AND IMPLEMENTATION OF E-SUTRA Resdiansyah .; Ircham .; Otto Sandjoko
Jurnal Transportasi Vol. 13 No. 3 (2013)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.682 KB) | DOI: 10.26593/jtrans.v13i3.1346.%p

Abstract

Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless the growth in traffic volumes can be restrained. Therefore, another alternative is by implementing Transportation Demand Management (TDM), which means people still travel but at the same time the private car usage is reduced. This paper presents the development of an expert system for sustainable transportation (E-SUTRA) through implementation of TDM. The overall result of 69% accuracy indicates the high possibility of the E-SUTRA system to be used as an advisory tool for sustainable transportation through TDM.
Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control Muhammad Faris; Ircham Ircham
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This work addresses the development of Distributed Model Predictive Control (DMPC) approaches for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed optimization problem is solved using two different decomposition schemes: Alternating Direction Method of Multipliers (ADMM) and Distributed Robust Safe But Knowledgeable (DRSBK). The original distributed algorithms are modified to handle the non-convex nature of the optimization problem, hence improving the solution quality. The results of large-scale test instances show that DRSBK can outperform the conventional centralized approach and ADMM, by providing the closest-to-optimum solution while requiring the least computation time.
A low-cost development of automatic weather station based on Arduino for monitoring precipitable water vapor Wayan Suparta; Aris Warsita; Ircham Ircham
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp744-753

Abstract

Water vapor is the engine of the weather system. Continuous monitoring of its variability on spatial and temporal scales is essential to help improve weather forecasts. This research aims to develop an automatic weather station at low cost using an Arduino microcontroller to monitor precipitable water vapor (PWV) on a micro-scale. The surface meteorological data measured from the BME280 sensor is used to determine the PWV. Our low-cost systems also consisted of a DS3231 real-time clock (RTC) module, a 16×2 liquid crystal display (LCD) module with an I2C, and a micro-secure digital (micro-SD) card. The core of the system employed the Arduino Uno surface mount device (SMD) R3 board. The measurement results for long-term monitoring at the tested sites (ITNY and GUWO) found that the daily mean error of temperature and humidity values were 1.30% and 3.16%, respectively. While the error of air pressure and PWV were 0.092% and 2.61%, respectively. The PWV value is higher when the sun is very active or during a thunderstorm. The developed weather system is also capable of measuring altitude on pressure measurements and automatically stores daily data. With a total cost below 50 dollars, all major and support systems developed are fully functional and stable for long-term measurements.
Analisis Kemampuan dan Kemauan (ATP dan WTP) Penumpang Angkutan Kota Trans Jogja Jalur 5a Vera Pramudyasari; Ircham I; Herna Puji Astutik
Madani: Jurnal Ilmiah Multidisiplin Vol 1, No 7 (2023): Agustus
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8214124

Abstract

Trans Jogja is expected to improve the existing urban transportation system in the Yogyakarta area, so as to create safe, comfortable and timely urban public transportation, especially Trans Jogja route 5A where this route is a route that passes through work centers, shopping centers and campuses so that the quality of service must be improved. to the wider community. Primary data was obtained by providing questionnaires for Trans Jogja Line 5A users. Secondary data is obtained from BPS (Central Static Agency) Yogyakarta Province which then the data is analyzed. Results of data analysis to determine the ability (ATP) and willingness (WTP) to pay Trans Jogja fares. From the results of the analysis of the ability of Trans Jogja Line 5A passengers based on questionnaires distributed to 100 respondents, from the results of surveys and calculations that have been carried out for ATP amounting to Rp. 5,763.46. The amount of value (WTP) is IDR 3,060 from the results obtained by the higher level of community ability. 
Evaluasi Perkerasan Lentur Menggunakan Metode Bina Marga 2017 dan AASHTO 1993 Pada Jalan Denggung–Wonorejo, Sleman Martho Adihendra Ottu; Ircham Ircham; Veronica Diana Anis Anggorowati
JUSTER : Jurnal Sains dan Terapan Vol. 2 No. 2 (2023): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

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Abstract

Ruas Jalan Denggung–Wonorejo Kabupaten Sleman merupakan salah satu jalan arteri di Yogyakarta. Jalan tersebut merupakan jalur lalu lintas dengan volume kendaraan yang relatif tinggi. Berdasarkan hal tersebut dilakukan evaluasi struktural perkerasan lentur dan membandingkan tebal perkerasan, dengan dua metode yaitu Manual Desain Perkerasan Jalan 2017 dan AASHTO 1993 sebagai pembanding agar diketahui parameter-parameter apa saja yang menyebabkan perbedaan hasil perhitungan kedua metode. Peneliti menggunakan data sekunder yang diperoleh dari Bina Marga, Daerah Istimewa Yogyakarta. Dari data tersebut, perhitungan rencana tebal perkerasan dilakukan dengan metode Manual Desain Perkerasan Jalan 2017 dan AASHTO 1993. Selanjutnya dilakukan kontrol menggunakan program KENPAVE untuk mengetahui gaya-gaya yang terjadi seperti tegangan, regangan, dan lendutan. Tebal perkerasan metode Manual Desain Perkerasan Jalan, 2017 diperoleh AC – WC 4 cm dan AC – BC 6 cm. CTB 15 cm dan LPA Kelas A 15 cm. metode AASHTO 1993 diperoleh AC – WC 5 cm, AC – BC 6 cm. Laston MS 744 25 cm, LPA Kelas A 4 cm. Hasil KENPAVE Nilai tegangan dan regangan hasil analisis dengan program KENPAVE terjadi sebesar 0,03910 pada kedalaman 21,4997 cm (dibawah lapisan permukaan). Pada kedalaman 52,5030 cm diperoleh nilai tegangan dan regangan penyebab kerusakan berupa rutting sebesar 0,03998 dan kerusakan permanent deformation sebesar 0,03698.
Kolaborasi Jaringan Saraf Tiruan (JST) Dalam Identifikasi Prioritas Penanganan Pemeliharaan Jalan Kabupaten Sely Novita Sari; Bagus Gilang Pratama; ircham ircham
Device Vol 14 No 1 (2024): Mei
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i1.6702

Abstract

Pemeliharaan jalan kabupaten menjadi elemen krusial dalam pembangunan infrastruktur dan pertumbuhan ekonomi di daerah. Kendati begitu, keterbatasan anggaran dan sumber daya manusia menyebabkan banyak jalan kabupaten mengalami kerusakan yang memerlukan penanganan pemeliharaan yang efektif. Dalam rangka mengidentifikasi prioritas pemeliharaan, digunakan metode Jaringan Saraf Tiruan (JST), sebuah teknologi kecerdasan buatan yang mampu mempelajari pola dari data dan mengklasifikasikan informasi baru. JST dapat memproses data kompleks, non-linear, dan tidak pasti, sehingga cocok untuk estimasi biaya, peramalan, klasifikasi, dan optimasi. Hasil analisis data menggunakan JST menunjukkan tingkat akurasi prediksi Prioritas Mutlak Penting sebesar 100%, sementara untuk Prediksi Prioritas Sangat Penting, Prioritas Cukup Penting, dan Prioritas Sedikit Penting masing-masing mencapai 66,7%. Prediksi Prioritas Tidak Penting juga mencapai 100%, dengan menggunakan History Accuracy sebagai acuan. Dengan demikian, pemodelan ini memberikan presentase prediksi untuk setiap kategori prioritas pemeliharaan jalan kabupaten, memberikan dasar informasi yang berguna untuk pengambilan keputusan.
Analisis Tingkat Kepuasan Penumpang Terhadap Fasilitas Stasiun Kereta Api Tugu Yogyakarta Pada Masa New Normal Tumbas, Eusebius; Ircham, Ircham; Anis Anggorawati, Veronica Diana
JUSTER : Jurnal Sains dan Terapan Vol. 4 No. 2 (2025): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/juster.v4i2.1433

Abstract

Stasiun kereta api merupakan simpul transportasi penting yang kinerjanya sangat dipengaruhi oleh kelengkapan fasilitas, profesionalisme sumber daya manusia, dan sistem manajemen yang baik. Salah satu stasiun utama di Yogyakarta dikelola oleh PT Kereta Api Indonesia (Persero) dan melayani berbagai aktivitas perjalanan. Penelitian ini bertujuan untuk mengetahui tingkat kepuasan pengguna terhadap layanan yang tersedia serta memberikan masukan bagi pengelola. Data diperoleh melalui penyebaran kuesioner kepada penumpang, dengan analisis menggunakan aplikasi SPSS versi 24 untuk Windows. Data yang digunakan terdiri dari data primer (kuesioner) dan sekunder. Hasil analisis menunjukkan bahwa tingkat kepuasan pengguna terhadap fasilitas selama masa New Normal berada dalam kategori layak. Hal ini dibuktikan melalui uji validitas, uji reliabilitas, dan nilai mean, di mana seluruh indikator memperoleh skor di atas 0,3120%, melebihi standar yang ditentukan. Sehingga dapat disimpulkan bahwa fasilitas yang tersedia telah memenuhi harapan penumpang dan dapat menjadi dasar untuk perbaikan layanan di masa mendatang.
Co-Authors Adrian Permana Zen Ahmad Munawar Anggorowati, Veronica Diana Anis Anis Anggorawati, Veronica Diana Aris Warsita Bagus Gilang Pratama, Bagus Gilang Didit Endriawan Herna Puji Astutik Imam Munthohar, Imam Martho Adihendra Ottu Muhammad Faris Muhammad Faris, Muhammad Otto Sandjoko Qhorib, Muhammad Nur Resdiansyah . Sely Novita Sari Tumbas, Eusebius Vera Pramudyasari Veronica Diana Anis Anggorowati Wayan Suparta