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All Journal Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Teknik Industri Proceeding ISETH (International Summit on Science, Technology, and Humanity) (Journal of Environmental Sustainability Management)
Hisjam, Muhammad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : Jurnal Ilmiah Teknik Industri

 1 
DESIGN OF THE PROPOSED IMPROVEMENT TO OVO’S ELECTRONIC MONEY PAYMENT SERVICES IN GRAB ONLINE TRANSPORTATION SERVICES Swaraswati, Dinnur; Pujiyanto, Eko; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.9035

Abstract

The advancement of science and technology in the world has brought many influences to the changes in people's behavior and habits, one of that is the technology payment system adopted as an electronic payment system. As an electronic payment instrument, OVO cooperates with one of the online-based transportation services, Grab. However, the success of a company can be seen from the quality of service in meeting the satisfaction of the community or customers. The success of the company in providing quality services can be determined by the Service Quality (Servqual) approach, that is a method used to measure service quality from the attributes of each dimension, so that a gap value will be obtained that is the difference between consumers' perceptions of services that has been received in the hope that will be received. The objective to be achieved is to propose a design in the form of alternative solutions for the priority of improving the quality of electronic money OVO services in Grab applications. Data were collected through a questionnaire using non-probability sampling techniques with a total sample of 140 respondents. The study found the main problems, namely in the dimensions of compensation, responsiveness, and Privacy/Security.
Causal Inference to Predict Delayed Arrival of Ordered Production Materials at PT. XYZ Hanura, Muhammad Ridzky; Priyandari, Yusuf; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23020

Abstract

PT XYZ has a problem with the delayed arrival of ordered production materials. Although the company is aware of the delays based on data, the company does not yet know the causes or sources of problems that cause delays. On the other hand, not all factors can be controlled to reduce the delay in the arrival of production materials. The company intends to predict the change in delay time if control or intervention is carried out on certain factors by utilising data availability. The factor to be treated is requisition-to-order lead time A causal inference model is used using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between requisition-to-order lead time and the arrival time of the ordered material by considering other factors that also affect the delay. The results of the causal effect estimation are that by intervening or controlling the requisition-to-order lead time factor by one day, there is a decrease in the average delay in material arrival time by one day
Causal Inference to Predict Delayed Arrival of Ordered Production Materials at PT. XYZ Hanura, Muhammad Ridzky; Priyandari, Yusuf; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23020

Abstract

PT XYZ has a problem with the delayed arrival of ordered production materials. Although the company is aware of the delays based on data, the company does not yet know the causes or sources of problems that cause delays. On the other hand, not all factors can be controlled to reduce the delay in the arrival of production materials. The company intends to predict the change in delay time if control or intervention is carried out on certain factors by utilising data availability. The factor to be treated is requisition-to-order lead time A causal inference model is used using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between requisition-to-order lead time and the arrival time of the ordered material by considering other factors that also affect the delay. The results of the causal effect estimation are that by intervening or controlling the requisition-to-order lead time factor by one day, there is a decrease in the average delay in material arrival time by one day
Co-Authors Ali, Ahad Apriani, Yunda Chrissandhi, Erico Sofyan Christa Dian Pratiwi Eko Liquiddanu Fakhrina Fahma Hafidza, Lsa Aldira Hanura, Muhammad Ridzky Hastuti, Tiwik Tri Kasy, Fransisca Indraningsih Maya Revanola Zainida Octyajati, Nancy Priyandari , Yusuf Pujiyanto, Eko Retno Wulan Damayanti Rochani, Renny RR. Ella Evrita Hestiandari Saputra, Iqbal Wahyu Sulistyono, Dwi Setyo Swaraswati, Dinnur Syed Hassan, Syed Ahmad Helmi Wahyudi Sutopo Wakhid Ahmad Jauhari Yuniaristanto Yuniaristanto Yusuf Priyandari Zakariya, Roni