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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

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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 3 No 1 (2015): The 17th FSTPT of International Symposium
Publisher : FSTPT Indonesia

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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

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)

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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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

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.

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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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.

Evaluasi Kinerja Bus Trans Jogja Jalur 15 Muhammad Nur Qhorib; Ircham Ircham; Veronica Diana Anis Anggorowati
JUSTER : Jurnal Sains dan Terapan Vol. 2 No. 3 (2023): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

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Daerah Istimewa Yogyakarta (DIY) merupakan daerah yang dikenal sebagai Kota Pendidikan, Wisata dan Kota Budaya, kini telah berubah menjadi daerah yang memiliki kepadatan penduduk yang cukup tinggi sehingga penulis melakukan penelitian yang bertujuan untuk mengetahui faktor apa saja yang perlu ditingkatkan dan faktor apa saja yang mempengaruhi kinerja bus Trans Jogja. Data yang digunakan adalah data primer yang di dapatkan dari survey langsung di lapangan meliputi, jumlah penumpang, load factor, waktu antara, dan kecepatan rata-rata. Pengumpulan data sekunder berupa peta wilayah, jumlah armada, dan rute bus Trans Jogja. Pengumpulan data dilakukan selama 3 hari pada senin 25 September, sabtu 30 September, dan minggu 01 Oktober. Hasil analisis kemudian di bandingkan dengan ketentuan surat keputasan Direktorat Jendral Perhubungan. Hasil analisis kinerja bus Trans Jogja bedasarkan perhitungan hasil survey didapatkan waktu sirkulasi 2 jam, waktu antara mendapatkan rata-rata 13 menit, kecepatan perjalanan sebesar 22,703 km/jam, dan faktor muat sebesar 37,729%. Hasil analisis menunjukan bahwa tidak semua indikator memenuhi standar, seperti waktu sirkulasi memenuhi standar, waktu antara melebihi standar, dan faktor muat yang di bawah standar kinerja angkutan umum.

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