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BIM's Contribution as A Sustainable Construction Accelerator Nindyo Cahyo Kresnanto; Raihan Iqbal Ramadhan; Muhamad Willdan; Panca Buana Pamungkas Putra
Applied Research on Civil Engineering and Environment (ARCEE) Vol. 4 No. 01 (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/arcee.v4i01.5333

Abstract

Building Information Modeling (BIM) is a technological tool used in the sustainable construction process, beginning with the planning phase and continuing through the construction and post-construction phases. BIM has excellent capabilities and is being adopted by construction service providers in the process of implementing sustainable construction. However, many barriers remain in the adoption process, particularly with regard to the intention to use it. The purpose of this study was to determine the intention to implement BIM based on the variables of benefits and barriers. In order to parse the phenomena that occur in research, this study employed a quantitative method. Survey data in the form of a questionnaire were collected from the Special Region of Yogyakarta using a purposive sampling method for this study. Questionnaires were distributed via Google Form to respondents from the construction sector (Civil & Architectural Engineering) and BIM application users (students, workers). The findings of this study have provided an overview of the challenges and benefits of implementing BIM in sustainable construction. The barriers presented are financial, technological, and policy barriers, depending on the company's classification, while the benefits presented are environmental benefits and innovation.
ANALISIS BOBOT KOMPONEN WAKTU PADA PERJALANAN MENGGUNAKAN ANGKUTAN UMUM PERKOTAAN Risdiyanto Risdiyanto; Adelia Berliani Harnanto Putri; Nindyo Cahyo Kresnanto
Jurnal Riset Rekayasa Sipil Vol 6, No 2 (2023): Maret 2023
Publisher : Civil Engineering Study Program, Engineering Faculty Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.258 KB) | DOI: 10.20961/jrrs.v6i2.54242

Abstract

Traffic congestion is a serious problem in many cities in the world. Congestion will be reduced if most private vehicle users want to switch to using Urban Public Transport (AUP) when traveling. In order for AUP to be in demand, AUP services must be better. One of the most important services in attracting AUP passengers is the short travel time. The intended travel time is a combination of time to the stop, waiting time at the stop, time in the vehicle, transfer time, and travel time from the stop to the final destination. In order for travel time to be calculated, the weight of each component of travel time must be known. The purpose of this study was to determine the weight of each type of travel time component by taking the case of the Trans Jogja Bus (BTJ). The analysis was carried out using the Analytical Hierarchy Process (AHP) method. Data were obtained by conducting interviews / distributing questionnaires both in person and online, to 103 young respondents in urban Yogyakarta. Based on the results of the study, it was found that the components of travel time with weights from the largest in succession were waiting time at the bus stop, followed by time to the bus stop, transfer time, time from the bus stop to the final destination, and time in the vehicle. These results indicate that reducing waiting time at bus stops is a priority program that needs to be done to shorten the total travel time so that AUP becomes attractive.
Transport Demand Management Strategy Priority Assessment Based on Expert Judgment Nindyo Cahyo Kresnanto; Wika Harisa Putri
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v4i2.1701

Abstract

The main problem of transportation is the very high growth of vehicles causing congestion, resulting in various derivative impacts such as pollution, fuel waste, time value, and other environmental problems. This problem can be solved by Transportation Demand Management (TDM). TDM is a combination of various strategies, which strategy should be chosen whose priority depends on the conditions of each region. This research was conducted in a medium-scale city by determining the priority of TDM using the Analytical Hierarchy Process (AHP) tool. The final result of the judgment is the priority weight of the TDM strategy that will be applied with a CR value of < 10%, namely the pull strategy. This strategy is represented by improving public transport services and infrastructure (especially the integration of public transport services). This study shows that the strategy group with a high AHP Consensus Index (ACI) score means a high consensus among experts.
Perception Investigation Based on the Commuting Cost Model Nindyo Cahyo Kresnanto; Wika Harisa Putri; Rini Raharti; Muhamad Willdan; Raihan Iqbal Ramadhan
Applied Research on Civil Engineering and Environment (ARCEE) Vol. 4 No. 02 (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/arcee.v4i02.5546

Abstract

Travel expenses are a significant factor in transportation planning. In addition to the other aspect, travel time, the community considers expense as the necessary element in deciding which mode the communities should take. However, there is a gap between the actual transport expense and the commuter's perception. Thus, comprehensive knowledge is urgently needed particularly to be seen as a major variable in transportation planning that sided with underprivileged groups of transport poverty. The study focused on describing the correlation between income and commuting transportation expenses. The analysis was carried out using two methods. The first method is a descriptive analysis used to provide insight into the patterns and characteristics of the data obtained from interviews with 421 respondents. The second method is regression analysis (linear and nonlinear) to explain the relation pattern between the dependent (commuting transportation expenses) and independent (income) variables. The study's findings demonstrate that transportation expenses follow a negative polynomial regression pattern on income, further implying that the percentage of transportation expenses in low-income communities is significantly higher than those in high-income communities.
Exploring Daily Activity Pattern Using Spatio-Temporal Statistics with R for Predicting Trip Production Muhamad Willdan; Raihan Iqbal Ramadhan; Nindyo Cahyo Kresnanto; Wika Harisa Putri
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 1, April 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss1.art6

Abstract

Spatio-temporal data modelling is one of the methods in data analysis that uses space (spatial) and time (temporal) approaches. This study used Spatio-temporal statistical modelling to observe the daily activity patterns of people. Spatio-temporal modelling selected for support activity-based transportation demand. This research identifies community mobility patterns that will provide trip production data for transportation demand prediction. Using Spatio-temporal statistical modelling benefit this study because statistical this model can make model components in a physical system appearing to be random. Even if they are not, the models are helpful as they have accurate and precise predictions. In this study, descriptive analysis was used. Incorporating statistical distributions into the model is a natural way to solve the problem. This research collects daily activity data from 400 respondents recorded every 15 minutes. From this data, a pattern of respondents’ daily activities was formed, which was analyzed using R. Software R also visualizes data on daily activities of the community in Spatio-temporal modelling. This research aims to depict the daily activity patterns to predict trip production. This research found three clusters of trip production patterns with specific groups member and specific patterns between workdays and holidays.
THE CONTRIBUTION OF GIS IN INCREASING THE RESILIENCE OF BUMDES-BASED CREATIVE INDUSTRIES DURING THE COVID-19 PANDEMIC Nindyo Cahyo Kresnanto; Rini Raharti; Retno Lantarsih; Raihan Iqbal Ramadhan; Dinda Novita
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 6, No 4 (2022): IJEBAR, Vol. 6 Issue 4, December 2022
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v6i4.7234

Abstract

Village Owned Enterprises (BUMDES) is legal entities formed by and for villages to manage enterprises and engage in various types of business for the best possible welfare of the village community. According to evaluations, most BUMDES were assumed to has declined in profit due to COVID-19 pandemic, and more than 45% of BUMDes having difficulties to survive. The purpose of this research is to investigate the state of BUMDES during and before the pandemic, this includes the issue of vulnerabilities for support recovery, as well as strategies on recovery both for the short and medium term.The research constructed on a literature review followed by initial investigation. The results of the questionnaire-based survey reflected the state of BUMDES and were presented in spatial distribution. The data analysis revealed that the COVID-19 outbreak had no major impact on BUMDES overall performance. Furthermore, finding based on BUMDES interview data, more than 75% respondent indicating that the pandemic had no influence on BUMDES performance. The findings also demonstrate that BUMDES could be labelld as small firm with great resilience (tangguh) in the presence of external conditions.
Dampak Penerapan Integrasi Antarmoda Angkutan Umum terhadap Jumlah Penumpang Angkutan Perkotaan Trans Jogja Trayek 6A, 6B, dan 15 Kennyzyra, Muhammad; Nindyo Cahyo Kresnanto; Rizki Budi Utomo
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.v3i4.4295

Abstract

The increasing needs of society have increased mobility and caused transportation problems, especially congestion. One solution is to promote the use of public transport. In Yogyakarta, the Trans Jogja Bus was introduced in 2008 as an effort to overcome traffic jams. This bus serves urban agglomeration areas with 140 units and 21 routes. One important step is the implementation of intermodal integration at Tugu Station, which connects Trans Jogja Buses with trains and KRL. This research aims to analyze the impact of this integration on increasing the number of passengers on routes 6A, 6B, and 15. The implementation of integration between public transport modes at Tugu City Yogyakarta Station can generally increase the number of passengers on Trans Jogja Urban Transport Routes 6A, 6B, and 15. Fluctuations The number of passengers on Trans Jogja Urban Transport Routes 6A, 6B, and 15 is caused by several factors such as the implementation of re-routing, teaching and learning activities at schools, red dates such as Christmas Day in December, and school holiday activities.
Metode Pembentukan Basis Data Spasial Rambu Lalu Lintas dengan Machine Learning Kresnanto, Nindyo Cahyo; Bahy, Muhammad Bintang
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 29, Nomor 1, JULI 2023
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v29i1.49928

Abstract

Traffic signs are part of road equipment whose existence is very important, in addition to functioning as warnings, prohibitions, orders, or instructions for road users, traffic signs are also a means to reduce accidents and regulate driver behavior. Because of the importance of this function, it is necessary to collect accurate sign data in a spatial database. Currently, there have been many database developments for the management of traffic signs, but data collection is still done manually, by means of surveyors recording groups of traffic signs and entering them into the database. The difficulty faced is the time and accuracy of the surveyors when it comes to selecting groups of signs, this is due to the large number of groups/sub-groups of signs. This problem needs to be solved with the help of a sign group detection tool with an image recognition approach. This study aims to develop an image recognition method to extract photo geotagging information on traffic signs into spatial data and attributes of traffic sign groups. The object of the signs that are sampled are signs that are on roads with the status of provincial roads in the Special Region of Yogyakarta. The results showed that the machine learning-based image recognition accuracy reached 88.66%, further research is needed to improve accuracy by paying attention to the geotagging photo capture variable.
Inkubasi Bisnis Lokabadra sebagai Embrio Ketahanan Ekonomi Rumah Tangga Desa Mlese, Kecamatan Gantiwarno, Kabupaten Klaten, Provinsi Jawa Tengah Putri, Wika Harisa; Kresnanto, Nindyo Cahyo; Raharti, Rini; Andari, Eni
Yumary: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 4 (2024): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v4i4.2742

Abstract

Purpose: Mlese Village is one of the villages in the Klaten Regency with a relatively strong local cultural base. Although most of the population works as farmers, local cultural preservation activities are maintained in community life. Mlese Village has a Lokabadra cultural art park built as a center for creative industry development to facilitate community interests. This art and culture park was made to be an activity center, creative industry development center, and business incubator for the village. However, because the growth rate of the business incubator is yet to be optimal, community groups who support business units need to receive assistance and increase their personal capacity to optimize the use of the Lokabadra Cultural Arts Park area. Methodology: This community service activity was carried out at the Mlese Village Cultural Park and aimed at the Lokabadra youth group. This workshop and mentoring was attended by 21 people and held for a full day. To maximize the benefits of this activity, the supporting community is also involved, so that all parties have a harmonious vision in developing Lokabadra business activities. Results: Three materials were prepared to conduct workshop activities: marketing strategy, business-space arrangement, product quality, and product presentation enhancement. The culinary development sector, one of Lokabadra's commercial sectors, was the focus of this workshop. During the workshop, attendees engaged in active consultation with resource individuals to deliberate on matters such as business space layout design, product display plans, and marketing media. The results of this activity were immediately implemented by rearranging business locations and product packaging. Limitations: Limited time, funds, synchronization, and harmonization of agendas between the parties to support the optimization of the Mlese village business incubator center are the main limitations of this program. Contribution: This mentoring activity contributes to increasing the skills and insight of the supporting community in optimizing Lokabadra's role as the business incubation center of Mlese Village.
Pemberdayaan Kelompok Tani Kopi Desa Balerante Kabupaten Klaten Retno Lantarsih; Nindyo Cahyo Kresnanto; Rini Raharti; Wika Harisa Putri
Jurnal Pengabdian UNDIKMA Vol. 3 No. 2 (2022): August
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v3i2.5598

Abstract

This service activity aims to improve the knowledge and skills of farmer groups in handling coffee plant pests and diseases, improve financial governance, improve human resource capabilities in excellent service for visitors to Balerante coffee shops, and improve the number of coffee cultivation equipment and coffee serving equipment. The target audience of the partnership program in this community is a group of coffee farmers in Balerante village, Kemalang District, Klaten Regency. The results of the activity show that farmer groups had knowledge and skills in identifying, handling, and preventing diseases in coffee plants, farmer groups carried out more intensive care of coffee plants, and farmer groups had knowledge and skills in providing excellent service to coffee shop visitors, and farmer groups already had equipment for serving coffee in larger quantities so that it could increase the capacity of the coffee shop in Balerante village.