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STUDI EKSPLORATORI TAMPILAN WEBSITE E-COMMERCE YANG MENDORONG PEMBELIAN IMPULSIF Marihot Nainggolan; Paulina Kus Ariningsih; Ignatius A. Sandy
Research Report - Engineering Science Vol. 2 (2015)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1139.786 KB)

Jumlah pengguna internet yang semakin besar dan tingkat pertumbuhan omzet maupun jumlah start up bisnis electronic commerce (e-commerce) yang tinggi. Sementara itu, pembelian impulsif merupakan satu transaksi yang mendominasi bisnis retail dan menjadi salah satu keunggulan kompetitif perusahaan. Di lain pihak, studi mengenai tingkat efektivitas tampilan website e-commerce yang mendorong pembelian impulsif belum menyentuh aspek atribut tampilan website yang mendorong pembelian impulsif. Maka dari itu, perlu dilakukan studi eksploratori dengan objek penelitian yang diusulkan yaitu tiga situs e-commerce besar di Indonesia yaitu Zalora.co.id, Groupon.co.id, dan Bhinneka.com.Luaran penelitian ini adalah implikasi manajerial yaitu penyusunan strategi dasar dalam perancangan website e-commerce untuk meningkatkan pembelian impulsif pada website tersebut. Luaran ini didapatkan dari studi eksploratori dengan atribut tampilan website e-commerce yang berpengaruh terhadap pembelian impulsif menggunakan metode analisis faktor, lalu atribut tersebut dimodelkan matematis menggunakan statistik multivariat untuk mengetahui besar pengaruh atribut tersebut pada pembelian impulsif. Luaran ini juga dapat dijadikan dasar dalam pengembangan strategi lanjutan dalam perancangan website e-commerce.Didapatkan model matematis dari pengaruh faktor tampilan website terhadap pembelian impulsif. Selain itu, juga didapatkan informasi bahwa faktor tampilan website yang mendorong pembelian impulsif pada produk fashion adalah faktor penunjang (0,89) dan faktor service yang diberikan(0,41). Sedangkan pada website yang menjual makanan dan jasa kuliner didapatkan faktor promosi (0,07) dan kemudahan pembelian (0,53) menjadi faktor penting yang harus diperhatikan.

A New Metaheuristic Farmland Fertility Algorithm to Solve Asymmetric Travelling Salesman Problem Kevin Grahadian; Ignatius A. Sandy
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 1 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Asymmetric travelling salesman problem (ATSP) is an optimization problem which a salesman needs to visit all the city. In ATSP case, range from city A to city B is not the same as city B to city A. The purpose from this problem is to find a route that conclude the shortest possible route for the salesman. In this experiment, Farmland Fertility (FF) Algorithm is used to find the solution for ATSP problem. FF is a metaheuristic that inspired from farming activity. FF sees farmers that farm to get a high-quality plant to sell with high price. The farmers usually divide their farmland into some sections, and they try to give that section special materials or treatments depend on the soils. There are 3 parameters that will be the focus in this experiment. This study will design the farmland fertility algorithm to solve ATSP and find which parameters affect the result. The 3 parameters are ???? that act as special materials to give to the worst section, ???? that act as special materials to give to other sections, and ???? is possible combining soils. ANOVA is used for 27 combinations parameter to implement into five ATSP benchmarks. From the result of ANOVA, ???? have a significant impact to the algorithm performance. After all the parameters are set, the algorithm is implemented to study cases from BR17, FTV33, FTV44. FTV55 and FTV70. This algorithm only can find the best known solution on BR17, while on other study cases this algorithm cannot find the best known solution.

Penerapan Lightning Search Algorithm dengan 2-Opt Local Search untuk Penyelesaian Asymmetric Traveling Salesman Problem Gunawan, Yulius Chandra; Sandy, Ignatius A.
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.v13i2.7760.191-202

The Asymmetric Traveling Salesman Problem (ATSP) is an optimization problem where a "salesman" must visit several cities in a single trip. In the ATSP, the distance traveled from city i to j differs from the distance from city j to i. The goal of the ATSP is to minimize the total distance traveled by the "salesman." In this study, the Lightning Search Algorithm (LSA) and the 2-Opt local search algorithm are used to find solutions for the ATSP. LSA is a metaheuristic algorithm inspired by the process of lightning propagation to the earth's surface. 2-Opt is a local search algorithm that can manipulate routes to produce better solutions. This research aims to design LSA with 2-Opt for solving the ATSP and to identify the parameters that influence the ATSP solution. Three parameters are used in this study: maximum channel time (max_ctime) and forking probability (fork_prob), which are responsible for the forking phenomenon, and Boundaries (Bound), which define the solution space. ANOVA testing was conducted on 8 parameter combinations implemented on 5 ATSP cases from TSPLIB: BR17, FTV33, FTV44, FTV55, and FTV70 to determine the best parameter values. The ANOVA results show that the Bound parameter affects the solution in the FTV33, FTV44, and FTV70 cases, while the max_ctime parameter affects the solution in the FTV55 case. Based on the determined parameter values, the LSA with 2-Opt was re-implemented on the five ATSP cases. The results show that the LSA with 2-Opt was able to find the best-known solution for the BR17 case but was unable to find the best-known solution for the other cases.

Pengembangan Sistem Operasional Downstream Logistics dengan Modifikasi P1R2 Ariningsih, Paulina K.; Sandy, Ignatius A.; Adventia, Imanuele C. D.
Metris: Jurnal Sains dan Teknologi Vol. 17 No. 02 (2016): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Inaccuracy implementation of downstream logistics (DL, distribution) may decrease product quality. Quality decreament may happen due to product damange during distribution process, either duringloading-on and loading-off process, or during transportation process. Rejection product by the consumer due to quality mismatch may cause losses and non-valued added logistics activities. Integrated sistem approach for DL is proposed to minimize product damange during DL without compromising service level (SL) on the consumer. This paper describes the steps to improve DL’s operational activitiesusing management approach and modification of P1R2 algorithm (Packing First Routing Second). The final result and managerial implications of the process is formed in proposed Work Instruction (IK). The implementation of this improvement process is described using plastic furniture distribution study case of PT. X. As a result, 3 IK are produced. In addition, it is shown that proposed method can minimize non-value added logistics activities and reduce cost.

Penerapan Lightning Search Algorithm dengan 2-Opt Local Search untuk Penyelesaian Asymmetric Traveling Salesman Problem Gunawan, Yulius Chandra; Sandy, Ignatius A.
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.v13i2.7760.191-202

The Asymmetric Traveling Salesman Problem (ATSP) is an optimization problem where a "salesman" must visit several cities in a single trip. In the ATSP, the distance traveled from city i to j differs from the distance from city j to i. The goal of the ATSP is to minimize the total distance traveled by the "salesman." In this study, the Lightning Search Algorithm (LSA) and the 2-Opt local search algorithm are used to find solutions for the ATSP. LSA is a metaheuristic algorithm inspired by the process of lightning propagation to the earth's surface. 2-Opt is a local search algorithm that can manipulate routes to produce better solutions. This research aims to design LSA with 2-Opt for solving the ATSP and to identify the parameters that influence the ATSP solution. Three parameters are used in this study: maximum channel time (max_ctime) and forking probability (fork_prob), which are responsible for the forking phenomenon, and Boundaries (Bound), which define the solution space. ANOVA testing was conducted on 8 parameter combinations implemented on 5 ATSP cases from TSPLIB: BR17, FTV33, FTV44, FTV55, and FTV70 to determine the best parameter values. The ANOVA results show that the Bound parameter affects the solution in the FTV33, FTV44, and FTV70 cases, while the max_ctime parameter affects the solution in the FTV55 case. Based on the determined parameter values, the LSA with 2-Opt was re-implemented on the five ATSP cases. The results show that the LSA with 2-Opt was able to find the best-known solution for the BR17 case but was unable to find the best-known solution for the other cases.

An Inventory Model for Deteriorated Item with Time- and Inventory-dependent Demand and Backorder Dharma Lesmono; Taufik Limansyah; Ignatius A. Sandy
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4609

The paper focuses on developing an inventory model for deteriorated item when demand is time- and inventorydependent. Deteriorated items can usually be found in items such as vegetables, fruit, milk, chemical product, pharmaceutical and it needs special attention in managing this kind of inventory. We model the inventory control for these items by a mathematical model involving time- and inventory-dependent demand and considering the backorder policy in handling shortages. The developed model aims to find the optimal time between replenishment and when inventory drops to zero, which minimizes the total inventory cost. The total inventory cost consists of the purchase cost, the order cost, the holding cost, and the shortage cost. Sensitivity analysis is performed to analyse the effect of changing the parameters’ values to the time between replenishment, when inventory drops to zero, the order quantity, and the total inventory cost. The finding shows that changing the parameters’ values of deterioration rate, demand, unit holding cost, unit holding cost and unit shortage cost will have an impact on the time between replenishment, time when inventory drops to zero, order quantity, and inventory cost.

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