DESIGN OF INVESTIGATION SUPPORT SYSTEM PROTOTYPE (A Case Study in Train Accident Investigation at DAOP 4 Semarang)

Investigation can be a complex task without any supporting system that provides a necessary data or relevant information. Such as investigation of the PT Kereta Api Indonesia (KAI) in analyzing a train accident due to human error is limited. Analysis conducted by KAI only focuses on individuals who are related and have not been able to analyze the error causes in detail because of lack of data. This research tried to design investigation support system prototype to facilitate all of the processes needed in analysis a train accident. The processes started with the interview process using Critical Decision Method (CDM) and inferred using the Emergent Themes Analysis (ETA). Then a systematic method of Human Factors Analysis Classification System Indonesian Railroad (HFACS-IR) used to analyze human error especially for train accidents occurred in Indonesia. At last, accident scenarios constructed by the Linking Causal Factor. The result shows that investigation process suggested able to give more effective recommendation and the prototype design make these processes easie

PROCEEDINGS 1st ANNUAL CONFERENCE ON INDUSTRIAL AND SYSTEM ENGINEERING

Supply Chain Management dalam Pengelolaan Industri dan Energi Nasional Menuju Industri yang Berdaya Sain

Artikel Ilmiah Bambang Purwanggono MIMEC 2017 dengan judul "The analysis of market knowledge competence effect and research & development (R&D) toward the policy making of new product development"

The increasing mobility of people without adequate provision of mass transportation infrastructures makes people choose private transportation like motorcycles. Such circumstances lead the motorcycle manufacturers in Indonesia competing to develop their products to meet the needs of customers. In addition, the new regulation of Central Bank of Indonesia dealing with the credit advances has raised the intense competition of motorcycles industries in Indonesia. One of the ways to win the competition is by developing new and improved products. In developing and improving the products, companies need to consider resource utilization. In this research, researcher utilizes the resources that exist both inside and outside the enterprise such as customer demands, intensity of competition, perception of the importance of market knowledge, importance of market competence, and internal R&D as well as external R&D is expected to develop new products that are superior. The study involved 150 employees as respondents. The method used in the study is Structural Equation Modeling (SEM) with AMOS 20.0 statistical software. The result shows that the demands of the customers and the intensity of competition lead to a positive effect on market knowledge competence, while the perception of the market knowledge importance does not influence the development of new products, and market knowledge competence, internal R&D and external R&D have positive effect on the development of new products

Analisa Produktivitas Pekerja Dengan Metode Sampling Kerja Pada Bagging Section PT. Chandra Asri Petrochemical Tbk.

Performansi merupakan hal penting dalam produktivitas aktivitas Perusahaan. Tingkat performansi yang baik akan menghasilkan hasil kerja yang baik pula. Berkaitan dengan tingkat performansi, terdapat permasalahan yaitu kondisi menganggur baik mesin maupun operator. Pekerja yang tidak memberikan performansi penuh bagi Perusahaan pada jam kerjanya dapat menimbulkan kerugian waktu maupun biaya. Kondisi menganggur seorang pekerja atau mesin yang terus berlanjut dan terakumulasi akan menimbulkan kerugian yang besar bagi Perusahaan. Kerugian tersebut mendorong Perusahaan untuk mengetahui tingkat performansi pekerja/mesin dalam bekerja, kemudian dianalisa faktor-faktor penyebab time wasting maupun kondisi menganggur tersebut, dan dicari tahu solusi pemecahannya. Untuk itu diperlukan suatu metode yang efektif dan efisien, salah satunya dengan metode Work Sampling (Sampling kerja). Metode ini dapat diterapkan untuk memantau kinerja pekerja tanpa penambahan biaya produksi yang besar. Setelah dilakukan pengukuran dan perhitungan, didapatkan rata-rata performansi sebesar 77,67%. Kemudian dilakukan analisa terhadap faktor penyebab menganggur terbesar menggunakan Diagram Pareto dan Fishbone, dan didapatkan faktor menganggur terbesar adalah “menunggu loading” sebesar 21,2% dari seluruh penyebab pekerja menganggur. Performance is essential for the productivity of the company's activities. Good performance will produce good work. Relates to the level of performance, there are problems that the condition of both engine idle and operators. Workers who do not give a full performance for the company in working hours can cause loss of time and cost. Conditions unemployed worker or machine that continues to accumulate and will cause great harm to the company. The losses prompted the company to determine the level of performance of the worker / machine at work, then analyzed the factors that cause time wasting as well as the idle condition, and sought out solutions to solve them. For that we need a method that is effective and efficient, one of them with methods Work Sampling.. This method can be applied to monitor the performance of workers without adding production costs. After measurement and calculation, obtained an average performance of 77.67%. Then performed an analysis of the factors causing the biggest idle using Pareto Chart and Fishbone, and obtained the greatest idle factor is "awaiting loading" of 21.2% of all causes of worker's idle.

Optimasi Pemilihan Lokasi Fasilitas Pengolahan Limbah Elektronik (E-waste) Di Indonesia Dengan Model Electre III

E-waste is an emerging issue in Indonesia due to its potentially hazardous content and some precious metal. In order to create an environmentally sound management of e-waste, a facility is necessary. The objectives of this study are to to select the optimal location of e-waste dismantling and sorting facility (DSF/FLPE). The optimal location selection was conducted using the method of ELECTRE III model. ELECTRE is a family of multi-criteria decision analysis methods that originated in Europe. The criteria chosen for this analysis are local population, population served, the percentage of monthly expenditure, average household price per unit, unemployed population, financial status of the local population, distance from existing facilities, and distance from the nearest port. ELECTRE III requires the determination of three thresholds, namely threshold of negligence (q), threshold of preference (p), and the veto threshold (v) in the effort to better adapt to uncertainties. The weight of each criterion was determined according to its importance relative to other criteria. The optimal location for e-waste DSF is Banten Province based on ELECTRE III model

Analisis Pengaruh Marketing Mix (7P) terhadap Minat Beli Ulang Konsumen (Studi pada House Of Moo, Semarang)

At this time the development of the restaurant business in Semarang so rapidly. The restaurant business developments create new players emerge, including from the students themselves. House of Moo is a dairy restaurant which located in the area Tembalang. Due to the many new players, companies need to examine existing consumer behavior and the factors that influence purchase decisions in marketing a product. This research was conducted explanatory causal quantitatively. Causal quantitative methods, is also a character study can be calculated numbers with statistical methods. The results showed that all variable marketing mix (7P) have positive effect on consumer purchasing decisions in the House of Moo, but there is one variable that does not significantly influence the purchasing decision. the variable is the process variable. While the variables that have the greatest influence on consumer purchasing decisions is physical evidence variable. This can result from data processing where the value t and the coefficient of determination of these variables have the greatest value of other variables

Analisis Mitigasi Risiko Pada Proses Pengadaan Menggunakan Matriks House of Risk Pada PT Janata Marina Indah

Janata Marina Indah is a company which on ship docking in Indonesia. It has to be ready to compete with foreign companies which have more advanced technology. JMI, has 2 kind of project activities, which are ship repairing and buid a new ship. Therefore, it needs efficient project management. In a settlement of project, delay is a loss. Delay can be happened because of human error or nature factor. Logistic department is an element which often become a delay maker. Delay can be happened because of delay in shipping, defect materials, bad warehouse management. This research will discuss about identification of risks event at sourcing to find out the frequency how often that event take place and the effect at project sustainability. It has to be kown the risks which have to be minimized using risk map matrix. Then, identification of risks agent to correlate with risks event using house of risk matrix. From this research, can be used to minimized risks event