Designing an Information System for Inventory Forecasting

(Case Study: Samsung Partner Plaza, Sorong City)

Authors

  • Matheus Rumetna Faculty of Computer Science, Victory University of Sorong, Indonesia
  • Elisabeth Esmeralda Renny Faculty of Computer Science, Victory University of Sorong, Indonesia
  • Tirsa Ninia Lina Faculty of Computer Science, Victory University of Sorong, Indonesia https://orcid.org/0000-0002-5944-8868

DOI:

https://doi.org/10.25008/ijadis.v1i2.187

Keywords:

Inventory, Forecasting, Exponential smoothing, Waterfall method, Delphi 7.0

Abstract

Samsung Partner Plaza is a company that sells smartphones and serves large-scale sales by adopting the membership and computerized systems. The company’s inventory management activities consist of the normal inventory flow direction and management, ranging from the inventory procurement, storage to sales. The company would often face a problem where it would be running out of finished goods inventory to be sold in coming months. The remaining inventory would be inadequate to meet the customer demands. Such situation, and the fact that the company has competitors both inside and outside Sorong city, might cause customers to find other companies that could meet their demands, thus reducing the company’s capacity to generate profit. Given the situation, this research was conducted to create an information system which could be used by Samsung Partner Plaza for inventory forecasting. The system would provide information regarding the correct amount of inventory which could meet the customer demands. The waterfall method was employed to develop the system whereas the exponential smoothing method was employed by the system to perform forecasting. The research produced a forecasting information system which was helpful for the company in predicting the adequate amount of inventory to be ordered to meet the customer demands. The system was tested using the Black Box testing and the results showed that all functions of the system worked well (valid).

Downloads

Download data is not yet available.

Plum Analytics

   

Dimensions

            

References

M. S. Rumetna and I. Sembiring, “PEMANFAATAN CLOUD COMPUTING BAGI USAHA KECIL MENENGAH (UKM),” in Prosiding Seminar Nasional Geotik, 2017, no. ISSN:2580-8796, pp. 1–9.

M. S. Rumetna, M. Pieter, and M. Manurung, “APLIKASI PENGENALAN KARAKTER ALFANUMERIK MENGGUNAKAN ALGORITMA HAMMING DISTANCE,” Pros. SNATIF, no. 4, pp. 77–84, 2017.

M. S. Rumetna, “Pemanfaatan Cloud Computing Pada Dunia Bisnis: Studi Literatur,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 3, pp. 305–314, 2018.

T. N. Lina and Sem, “PENERAPAN METODE DECISION TREE UNTUK PENENTUAN NILAI PRINSIP-PRINSIP E-PROCUREMENT,” in Seminar Nasional GEOTIK, 2017, pp. 10–19.

T. N. Lina, D. Manongga, and A. Iriani, “PENERAPAN FRAMEWORK KNOWLEDGE MANAGEMENT PADA UKM KULIT PARI YOGYAKARTA,” in Seminar Nasional GEOTIK, 2017, pp. 139–145.

R. K. Niswatin, “SISTEM PENDUKUNG KEPUTUSAN PERAMALAN PRODUKSI AIR MINUM MENGGUNAKAN METODE TREND MOMENT,” Tek. Mesin, Elektro dan Ilmu Komput., vol. 6, no. 2, pp. 337–344, 2015.

Arminas and F. T. Karanga, “ANALISIS PERAMALAN PENJUALAN COMFORTA’S BED JENIS SUPER STAR PADA PT.MASSINDO TERANG PERKASA MAKASSAR,” in Seminar Nasional Sains dan Teknologi 2016, 2016, no. November, pp. 1–9.

Zulhamidi and R. Hardianto, “PERAMALAN PENJUALAN TEH HIJAU DENGAN METODE ARIMA (STUDI KASUS PADA PT. MK),” J. PASTI, vol. XI, no. 3, pp. 231–244, 2017.

F. Ryan and Wijanarto, “ANALISIS DAN IMPLEMENTASI MODEL PERAMALAN BERBASIS ALGORITMA MOVING AVARAGE UNTUK NILAI TUKAR RUPIAH TERHADAP DOLAR,” Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 1, pp. 381–394, 2018.

A. Paruntu, Stacia and I. D. Palandeng, “ANALISIS RAMALAN PENJUALAN DAN PERSEDIAAN PRODUK SEPEDA MOTOR SUZUKI PADA PT SINAR GALESONG MANDIRI MALALAYANG,” J. EMBA, vol. 6, no. 4, pp. 2828–2837, 2018.

G. W. Sasmito, “Penerapan Metode Waterfall Pada Desain Sistem Informasi Geografis Industri Kabupaten Tegal,” J. Inform. Pengemb. IT(JPIT), vol. 2, no. 1, pp. 6–12, 2017.

K. Margi S and S. Pendawa W, “ANALISA DAN PENERAPANMETODE SINGLE EXPONENTIAL SMOOTHING UNTUK PREDIKSI PENJUALAN PADA PERIODE TERTENTU (Studi Kasus?: PT. Media Cemara Kreasi),” in Prosiding SNATIF, 2015, pp. 259–266.

G. Urva and H. F. Siregar, “Pemodelan UML E- Marketing Minyak Goreng,” J. Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 92–101, 2015.

M. S. Rumetna, T. N. Lina, and A. B. Santoso, “RANCANG BANGUN APLIKASI KOPERASI SIMPAN PINJAM MENGGUNAKAN METODE RESEARCH AND DEVELOPMENT,” Tek. Mesin, Elektro dan Ilmu Komput., vol. 11, no. 1, pp. 119–128, 2020.

J. Mykkänen, A. Riekkinen, M. Sormunen, H. Karhunen, and P. Laitinen, “Designing web services in health information systems: From process to application level,” International Journal of Medical Informatics, vol. 76, no. 2-3, pp. 89–95, 2007.

?. ?. ??????, “Software architectural design technology application,” Problems of Informatization and Management, vol. 1, no. 61, 2019.

T. Weilkiens, Systems Engineering with SysML/UML: Modeling, Analysis, Design. Morgan Kaufmann, 2011.

M. Szlenk, “Formal Semantics and Reasoning about UML Class Diagram,” 2006 International Conference on Dependability of Computer Systems, 2006.

Downloads

Published

2020-05-13

How to Cite

Rumetna, M., Renny, E. E., & Lina, T. N. (2020). Designing an Information System for Inventory Forecasting: (Case Study: Samsung Partner Plaza, Sorong City). International Journal of Advances in Data and Information Systems, 1(2), 80-88. https://doi.org/10.25008/ijadis.v1i2.187
Abstract views : 151 times