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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
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 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%.
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 Fauzi, Muhammad Dzulfikar Helmy Widyantara Hendrawan Widianto Isa Hafidz Latifah, Sephia Arda Luthfi Bagus Adityo (Universitas Ahmad Dahlan - Indonesia) Mohammad Sholik Montolalu, Billy Nabilla Adinna Cahyani Nisrina Salsabilah Okka Adiyanto Shamaradewa, Shanggabuana Adhitya Sinta Dewi Titus Kristanto Zunaidi, Rizqa Amelia