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All Journal Jurnal Rekayasa Sistem Industri SPEKTRUM INDUSTRI JURNAL NASIONAL TEKNIK ELEKTRO JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Journal of Advanced in Information and Industrial Technology (JAIIT) Journal of Computer, Electronic, and Telecommunication (COMPLETE) Prosiding Konferensi Nasional PKM-CSR Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi JURNAL TEKNIK INDUSTRI Spektrum Industri
Wahyu Andy Prastyabudi
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary

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PEMODELAN PERMINTAAN YANG MEMPERTIMBANGKAN HARGA, LOKASI DAN REBATE Rizqa Amelia Zunaidi; Wahyu Andy Prastyabudi; Abduh Sayid Albana; Sinta Dewi; Nisrina Salsabilah
Spektrum Industri Vol. 17 No. 2: Oktober 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i2.14325

Abstract

In accordance with Hottelling's Law, strategic location is a significant factor to ensure the success of a business, thus two businesses which sell the same product tend to choose a closed location. The real practice of this concept is seen in the competition of two big retailers which often open their shop nearby. However, in such competition, the location factor is merely not sufficient. It is necessary to consider other factors such as price and rebate or discount types given to their customers. This paper, particularly, aims to see the customers' preferences towards given attributes i.e. price, location, and discount types. The data is collected bymeans of a survey with non-probability sampling that is judgmental sampling. The respondents are people reside in Surabaya, Sidoarjo, and nearby whose age between 15-45 years and having various profession. The data is then processed with conjoint analysis by which is used as a basisto reconstruct a demand model considering the customer's preferences. The result shows that the attribute which is most considerable by respondents is the discount types, herein is a bundling product that comprises various products. This attribute has a preference level at 54.53%. The second prioritized attribute is the retailer location with a preference level at 24.28%. This means that a closer retailer is the most preferable by the respondent. Meanwhile, price is the last attribute considered by the respondent in choosing the retailer with a preference level at 21.28%. Thus, a respondent tends to pick a cheaper product after considering its discount type and the distance of retailer.
Perbandingan Metode Moving Average dan Exponential Smoothing untuk Mengestimasi Jumlah Gangguan Layanan Internet Prastyabudi, Wahyu Andy; Shamaradewa, Shanggabuana Adhitya
Jurnal Rekayasa Sistem Industri Vol. 13 No. 2 (2024): Vol. 13 No. 2 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i2.7609.157-176

Abstract

Fairly tight competition in telecommunication business requires companies to continue improving the quality of their services, including handling network problems or customer complaints. However, the amount of disturbance that occurs is often unpredictable. Indeed, this condition will impact the allocation of resources and budget for handling customer disturbances in the following period, with uncertainty. This research aims to apply the moving average (MA) and single exponential smoothing (SES) forecasting methods to predict the number of internet service disruptions. The case study used in this paper is an internet service provider company with service coverage in the northern part of Surabaya. The number of disturbances data was collected from January 2022 to May 2022, with 18,453 data in total. The disturbances can be divided into five types: physical, mass, logical, PSB/migration, and others. Forecasting is carried out using the MA method with a period of three months. Meanwhile, forecasting using the SES method was carried out by first determining the alpha value that produces the smallest Mean Absolute Percentage Error (MAPE) value. The analysis results show that both forecasting methods are relatively effective and efficient in estimating the number of disturbances. Forecasting performance testing was carried out by measuring the Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE) values. The results of forecasting performance measurements show that the SES method is much better than MA for all types of disturbance data, with MAPE values ​​below 2%.
Systematic Risk Analysis of Railway Component Quality: Integration of Failure Mode & Effect Analysis (FMEA) and Fault Tree Analysis (FTA) Andy Prastyabudi, Wahyu; Faharga, Rafidsyah Aldin; Chandra, Huki
Spektrum Industri Vol. 22 No. 2 (2024): Spektrum Industri - October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i2.223

Abstract

Quality assurance is a critical aspect in the production systems, affecting product quality and safety. Defects and failures of manufactured components will diminish overall product quality, which could vulnerably risk consumer safety. This study focuses on quality assurance analysis of train component manufacturing systems. According to the quality control data, the number of defects recorded was about 10-12, on average, for each wagon produced. The defect mainly occurred while making the underframes, car body, and even the small components. This led to the tardiness of product delivery for 1-2 months. This study aims to analyze non-conformance report data and identify the potential failure modes, potential effects, and root causes. To do so, we integrated systematically FMEA (Failure Mode and Effect Analysis) and FTA (Fault Tree Analysis). First, RPN (Risk Priority Number) score was calculated to determine risk priority. Second, Pareto analysis was performed to select defects that most contributing to overall failures, which were then analyzed using FTA to obtain root causes. The results show that 8 defects exceed the critical RPN score of 209. Materials and personnel are identified as two major contributor failure events from three selected defects. The recommendation for further improvements is provided based on various defect categories to prevent similar defects. The findings demonstrate that the combined use of FMEA and FTA is effective in identifying failures and root causes within complex and long production cycle systems.
ANALISA KAPASITAS PRODUKSI DI STASIUN PERAKITAN DENGAN METODE PENJADWALAN DETERMINISTIK Wahyu Andy Prastyabudi (Institut Teknologi TELKOM - Indonesia); Okka Adiyanto (Universitas Ahmad Dahlan - Indonesia); Luthfi Bagus Adityo (Universitas Ahmad Dahlan - Indonesia)
Jurnal Manajemen Industri dan Logistik Vol. 3 No. 2 (2019): page 94 - 173
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v3i2.170

Abstract

Abstract A manufacturing company which its production based on customer's customization order commonly employs Make-To-Order system. The classical problem of this system is that uncertainty of the order receipt schedule and the various degree of customization. Thus, it leads to an improper production schedule or under-optimal. This study aims to analyze the maximum production capacity of the company so that it can provide a recommendation for scheduling improvement. In this paper, the study case is carried out to a company which produces the various tools for military needs, such as weapons, ammunition, and combat vehicle. By means of the deterministic scheduling method, the optimal sequence of a military vehicle can be determined. Then, to represent the job priority order as well as to estimate the job completion duration, the network diagram is used. The result is then used as a reference to construct the production schedule simulation sequentially. It is intended to observe the interval time among production schedule. The experimental results of maximum production capacity calculation show that the company is able to produce at maximum 150 unit vehicles per year.Keywords: scheduling; production; deterministic method; Abstrak Perusahaan manufaktur yang memproduksi berdasarkan kustomisasi permintaan pelanggan biasa menerapkan sistem Make-To-Order. Masalah klasik yang sering dihadapai dari sistem tersebut adalah ketidaktepatan jadwal penerimaan pesanan dan tingkat kustomisasi yang berbeda-beda. Hal tersebut menyebabkan penjadwalan produksi yang tidak tepat atau tidak optimal. Tujuan penelitian ini adalah untuk melakukan analisa kapasitas produksi perusahaan, sehingga dengan mengetahui kapasitas maksimalnya dapat memberikan rekomendasi perbaikan penjadwalan. Dalam penelitian ini, studi kasus dilakukan pada perusahan yang memproduksi berbagai macam peralatan untuk kebutuhan militer seperti persenjataan, amunisi, dan kendaraan tempur. Dengan menggunakan metode penjadwalan deterministik, urutan perakitan optimal pada kendaraan militer dapat ditentukan. Kemudian untuk menggambarkan urutan prioritas pekerjaan sekaligus untuk memperhitungkan durasi penyelesaian pekerjaan digunakan bantuan network diagram. Hasilnya digunakan sebagai dasar untuk menyusun simulasi penjadwalan produksi secara berurutan. Tujuannya adalah untuk mengetahui selisih waktu produksi antar jadwal. Hasil perhitungan jumlah kapasitas produksi maksimal perusahaan didapatkan bahwa perusahaan ini dapat memproduksi sebanyak 150 unit kendaraan per tahun. Kata kunci: penjadwalan; produksi; metode deterministik;
Co-Authors Abduh Sayid Albana Adiputra, Dimas Afandi, Mas Aly Arda Erico Yuda Arda Erico Yuda Arliyanti Nurdin Arliyanti Nurdin , S.T., M.T DWI SURYANTO Elsa Diaz Yamila Faharga, Rafidsyah Aldin Helmy Widyantara Hendrawan Widianto Huki Chandra Isa Hafidz Latifah, Sephia Arda Luthfi Bagus Adityo (Universitas Ahmad Dahlan - Indonesia) Mohammad Sholik Montolalu, Billy Muhammad Dzulfikar Fauzi Nabilla Adinna Cahyani Nisrina Salsabilah Okka Adiyanto Shamaradewa, Shanggabuana Adhitya Sinta Dewi Titus Kristanto Zunaidi, Rizqa Amelia