Abdi Telaga

Mining industry is one of the industries that require huge amount of water. 1 tonne of coal requires 800-3000 gallons of water to produce. Due to the massive volume of water requirements, coal mining company must carry out water conservation. Moreover, the waste water from a coal mining process contains pollutants from mining activities that are dangerous for the environment. Therefore, the waste water must be treated to annihilate any harmful pollution before the water can be flowed back to the water resources. Stringent government regulation requires companies to report waste water quality regularly. The task to collect waste water quality data is laborious as a company needs operators to measure and checks the parameters periodically. Therefore, an on-line system to measure and collect the information is in dearth. However, expensive industrial sensors pose difficulties for small-scale coal mining. The paper presents the potential of low cost sensor for waste water online monitor...

The Indonesian construction industry has increasingly adopted Building Information Modeling (BIM). One of the barriers to adopting BIM is BIM skills among graduates are still rare. Therefore, higher education institutions have to adopt BIM into their curriculum. However, as BIM is a new concept in construction engineering, many higher education institutions have a problem integrating BIM. Therefore, the paper proffers a syllabus to integrate BIM in a vocational higher education institution. The research methodology follows the Tyler model of curriculum development. It started with a review of prominent BIM integration into higher education research. Then, discussion with BIM practitioners from the industry to acquire information on current BIM-related job specifications in Indonesia. The team teacher then discussed and analyzed the results to create an initial syllabus. Further, the students' performance and feedback are observed during two years of course offering from 2019 to ...

Indonesia requires highly skilled workers to support and sustain high economic growth. However, in recent years youth unemployment remains high. The high unemployment rate is attributed to the lack of skills of vocational school graduates. The skills of these graduates do not match the technologies used in the industry. Astra Manufacturing Polytechnic (Polman Astra) aims to remedy the issue by initiating a blended learning program to transfer industrial knowledge for vocational school (SMK) teachers in Greater Jakarta. A descriptive study was conducted to SMKs in North Jakarta to understand school readiness level to implement the program. Furthermore, the research also analyzes the teacher perception of industrial knowledge. Following the questionnaire results, the study reveals that the schools surveyed are generally ready to implement e-learning but require further training. Further results indicate that exposing teachers to industrial knowledge is crucial in order to keep up with...

Seiring dengan kebutuhan energi yang semakin meningkat dan pasokan energi yang terbatas maka diperlukan penghematan energi. Oleh karena itu, divisi Environment & Social Responsibilty (ESR) PT Astra International (AI) Tbk membuat proyek Astra Green Energy (AGEn), proyek ini merupakan bentuk integrasi manajemen energi dan audit energi. Saat ini, kegiatan audit energi di divisi ESR dilakukan dengan melakukan kunjungan langsung ke affiliate company (Affco). Selain itu, belum tersedianya sistem yang menangani pelaporan dan verifikasi hasil audit energi. Oleh karena itu, dibuatlah aplikasi AGEn. Aplikasi AGEn adalah aplikasi web berbasis internet yang dibangun menggunakan bahasa pemrograman ASP.NET MVC 4 dengan basis data Microsoft SQL Server 2012, web server IIS 8, dan dengan arsitektur client-server. Pembangunan aplikasi AGEn menggunakan pendekatan object-oriented system analysis and design (OOSAD) dengan metodologi prototyping. Aplikasi AGEn dibuat untuk mensosialisasikan alat bantu au...

Astra Manufacturing Polytechnic (Polman Astra) has been actively involved in various research activities, including product prototyping. The product prototyping process requires a good knowledge management in order to produce high quality prototypes. During the product prototyping development project, project documentation is often improperly managed. As a result, it potentially causes the loss of the obtained knowledge. Consequently, the lost knowledge cannot be reused when working on similar project. To manage the documentation properly, a research that can manage documentation prototyping has been done. The research is intended to store the knowledge of product prototyping. A culture of knowledge sharing is a major source of knowledge management system development, hence a preliminary research is needed to understand the current knowledge sharing culture in Polman Astra. Data were collected through a questionnaire consisting of closed questions using the 5 Likert-scale. The quest...

Corporate Information System and Technology (CIS&T) division in PT Astra International Tbk is digitizing all business lines. Therefore, the company started to utilize machine learning to predict four wheelers (4W) sales in 2017. Data used were car sales data from 2014 to 2016. The data were obtained from company’s data warehouse (DW). Further, to develop application, firstly, Minitab was used to compare algorithm in modelling phase. Then, Azure Machine Learning Studio (Azure ML) was utilized to build prediction model based on algorithm chose in first phase. Finally, visualization was developed using Power Business Intelligence (Power BI). Time series algorithm used to solve the case is Seasonal Trend Decomposition with Loess (STL). While, machine learning model uses R library, and process flow module in Azure ML. The STL prediction model yield 9.38% error. Visualization of result is divided into two sections filtered by three parameters type, color and area. The first section in dashboard is sales data report showing percentage of type, color of cars and deployment of 4W units in Indonesia through ArcGIS Maps. The second section is forecast result containing chart of x axis to represent year and y axis to represent number of units. Further, the chart provide historical, current and forecast information. The research contributes to illustrate development of prediction using machine learning in industrial environment.