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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 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.
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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Abstract

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.
Analisis Pengaruh Kendaraan Yang Melakukan Putar Balik Terhadap Kinerja Ruas Jalan (Studi Kasus Pada U–Turn Jl. Bypass Padang) Aufa Fadhil; Ircham; Veronica Diana Anis
JUSTER : Jurnal Sains dan Terapan Vol. 3 No. 1 (2024): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

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Abstract

Transportation has an important role in human life, because transportation has a big influence on society, economic and social political development of a country. research discusses   analysis of influence of vehicles making a U-turn on Bypass No. KM 15, Aie Pacah, Tangah City, Padang City, West Sumatra. Research purposes is to determine level of service that occurs in traffic flow, to obtain this aim PKJI 2014 is used. This research obtains average travel time for vehicles making a U-Turn, length of queue when making a U-Turn, average travel time average number of vehicles disturbed and not disturbed by U-Turns and knowing level of service on that road section. From data processing it can be concluded that peak hour vehicle speeds are slower than non-peak hour vehicle speeds due to high traffic flow. Meanwhile, waiting time when a vehicle is about to turn around, during peak hours vehicles wait longer than during non-peak hours because volume of vehicles is denser during peak hours. Average queue length in opposite direction during peak hours is longer than during non-peak hours due to the density of vehicles during peak hours, it can be concluded that level of service C.
Co-Authors Ahmad Munawar Anis Anggorawati, Veronica Diana Aris Warsita Aufa Fadhil Bagus Gilang Pratama, Bagus Gilang Herna Puji Astutik Imam Munthohar, Imam Martho Adihendra Ottu Muhammad Faris Muhammad Faris, Muhammad Muhammad Nur Qhorib Otto Sandjoko Resdiansyah . Sely Novita Sari Tumbas, Eusebius Vera Pramudyasari Veronica Diana Anis Veronica Diana Anis Anggorowati Wayan Suparta