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All Journal Jurnal Rekayasa Sistem Industri International Journal of Economics, Business and Accounting Research (IJEBAR)
Hotna Marina Sitorus
Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Katolik Parahyangan
Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Penerapan Algoritma Consultant-Guided Search dalam Masalah Penjadwalan Job Shop untuk Meminimasi Makespan Sitorus, Hotna Marina; Juwono, Cynthia P.; Purnawan, Yogi
Jurnal Rekayasa Sistem Industri Vol 4, No 1 (2015)
Publisher : Jurnal Rekayasa Sistem Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.97 KB)

Abstract

This research uses the Consultant-Guided Search (CGS) algorithm to solve job shop schedulingproblems minimizing makespan. CGS is a metaheuristics inspired by people making decisionsbased on consultant’s recommendations. A number of cases from literatures is developed to evaluatethe optimality of this algorithm. CGS is also tested against other metaheuristics, namely GeneticAlgorithms (GA) and Artificial Immune Systems (AIS) for the same cases. Performance evaluationsare conducted using the best makespan obtained by these algorithms. From computational results,it is shown that CGS is able to find 3 optimal solutions out of 10 cases. Overall, CGS performs bettercompared to the other algorithms where its solution lies within 0 - 6,77% from the optimal solution,averaging only 2,15%. Futhermore, CGS outperforms GA in 7 cases and performs equally well inthe other 3 cases. CGS is also better than AIS in 8 cases and is equally well in only 2 cases.
Perancangan Sistem Penilaian Performansi Karyawan Pratiwi, Loren; Sitorus, Hotna Marina; Marthalia, Elizabeth
Jurnal Rekayasa Sistem Industri Vol 5, No 1 (2016): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v5i1.1908.7-13

Abstract

Company X is one of the bakery companies that has several branch shops in Bandung. Over thepast few years, the performance of its human resource was stagnant and undeveloped. Especially in theposition of cashiers and salespersons who serve the consumers. Without a good human resource performancemanagement, Company X will not be able to survive in the competition. One of the requirements of goodhuman resource management performance is a good performance appraisal system. Performance assessmentconducted by Company X is still generic, and involving the assessment criteria that are very common.Besides, this assessment is also used to measure all positions in the company. Sometimes, the assessmentprocess was very subjective, which often causes employees with different performance get the same value.This research aims to design a performance appraisal system for the position of cashier and salesperson atCompany X by using Behaviorally Anchored Rating Scales (BARS). A performance appraisal system wasdesign started from the identification of assessment criteria and the determination of the scale of assessmentstandards, and ends with a form design and assessment procedures. The study also designed a feedbacksystem, in order to improve the performance of the cashiers and salespersons at Company X. The developedassessment system then tested in Company X to see how well the assessment able to distinguish employeesperformance, where employees with different performance obtain different values. Besides these trials alsoaccomplished the objective of the proposed system, where the same employees have the same value relativelydespite assessed by different people.
Penerapan Algoritma Consultant-Guided Search dalam Masalah Penjadwalan Job Shop untuk Meminimasi Makespan Hotna Marina Sitorus; Cynthia P. Juwono; Yogi Purnawan
Jurnal Rekayasa Sistem Industri Vol. 4 No. 1 (2015): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.97 KB) | DOI: 10.26593/jrsi.v4i1.1390.55-63

Abstract

This research uses the Consultant-Guided Search (CGS) algorithm to solve job shop schedulingproblems minimizing makespan. CGS is a metaheuristics inspired by people making decisionsbased on consultant’s recommendations. A number of cases from literatures is developed to evaluatethe optimality of this algorithm. CGS is also tested against other metaheuristics, namely GeneticAlgorithms (GA) and Artificial Immune Systems (AIS) for the same cases. Performance evaluationsare conducted using the best makespan obtained by these algorithms. From computational results,it is shown that CGS is able to find 3 optimal solutions out of 10 cases. Overall, CGS performs bettercompared to the other algorithms where its solution lies within 0 - 6,77% from the optimal solution,averaging only 2,15%. Futhermore, CGS outperforms GA in 7 cases and performs equally well inthe other 3 cases. CGS is also better than AIS in 8 cases and is equally well in only 2 cases.
NIAT ADOPSI TEKNOLOGI ONLINE GROCERY SHOPPING: EKSTENSI TECHNOLOGY ACCEPTANCE MODEL Hotna Marina Sitorus; Christa Vania
Jurnal Rekayasa Sistem Industri Vol. 11 No. 1 (2022): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.108 KB) | DOI: 10.26593/jrsi.v11i1.5204.93-100

Abstract

The purpose of this paper is to study factors affecting customer intention to adopt Online Grocery Shopping (OGS) technology. OGS is a service provided by supermarket which enables customers to purchase groceries online. While OGS services offer various benefits, the adoption in Indonesia is still low. The proposed model is developed by extending Technology Acceptance Model with compatibility, visibility, social influence and perceived risk. The model is evaluated using partial least square structural equation modeling (PLS-SEM) based on 108 valid data collected from supermarket customers. The findings show that the customers’ intention to adopt OGS is significantly affected by perceived usefulness and perceived ease of use. Based on total effect analysis, it was found that the intention to adopt OGS is determined by compatibility, perceived usefulness, perceived ease of use, social influence and perceived risk. Furthermore, the study proposes several recommendations for supermarket managers to improve the adoption of OGS.
A SURVEY ON LEAN MANUFACTURING IMPLEMENTATION: A CASE STUDY IN AN INDONESIAN AEROSPACE COMPANY Eleonora Julianti Mardi Utami; Hotna Marina Sitorus
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 5, No 4 (2021): IJEBAR : Vol. 05, Issue 04, December 2021
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v5i4.3390

Abstract

Lean manufacturing is well-known worldwide, and many businesses today use it as a production method. However, many companies seem failed in the implementation. Therefore, the purpose of this paper is to assess lean performance in an Indonesian Aerospace Company and explore any factors that could drive and hinder the lean implementation from a holistic perspective. In essence, this research is rarely conducted in Indonesia, especially in the aerospace industry. LESAT (Lean Enterprise Self-Assessment Tools) V.2 questionnaire and methodology are adopted to assess lean implementation. The respondents were chosen with purposive sampling. The results showed that most of the evaluation activities related to the performance were done with an informal approach deployed in a few areas with varying degrees of effectiveness and sustainment. Furthermore, several factors are considered as driving and hindering to successful lean implementation. It was found that the driving factors for successful deployments are a good change agent, continuous improvement, involvement of suppliers in the supply chain, considerations of customer value, and evaluation of roles/programs for lean implementation. In comparison, the primary hinder factors are a lack of shared understanding of the company's condition among the managers and supervisor and between the other managers and directors, and culture.
THE EFFECT OF PRODUCT QUALITY, SERVICE QUALITY, CORPORATE IMAGE AND PERCEIVED VALUE ON CUSTOMER LOYALTY OF B2B TRUCK COMPANY WITH CUSTOMER SATISFACTION AS INTERVENING VARIABLES Steven Wirajaya; Hotna Marina Sitorus; Yogi Yusuf Wibisono; Daniel Kurniawan; Livia Nathania
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 7, No 4 (2023): IJEBAR, Vol. 7 Issue 4, December 2023
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v7i4.11569

Abstract

PT X is a multinational B2B automotive company that provides large trucks. Based on truck sales data from 2019 to 2021, PT X has experienced a decrease in truck sales. In July 2021, 2 out of 6 transactions failed because customers preferred to buy trucks from other companies. PT X suspects issues with customer loyalty. This study aims to evaluate customer loyalty levels based on factors influencing them. The research phase begins with the construction of research models and questionnaires containing rating questions on perceived value, product quality, service quality, corporate image, customer satisfaction, and customer loyalty. Questionnaires were distributed to customers who had purchased trucks from PT X between October 2021 and November 2021. Data processing is conducted using the PLS-SEM method to derive research conclusions. Based on the results of data processing, it was found that the factors affecting customer loyalty are product quality, corporate image, and customer satisfaction. Suggestions include a focus on these three factors and improvement in the spare part procurement system, with the hope that customer loyalty levels and truck sales will increase.
Co-Authors Christa Vania Cynthia P. Juwono Cynthia P. Juwono Daniel Kurniawan Eleonora Julianti Mardi Utami Elizabeth Marthalia, Elizabeth Livia Nathania Loren Pratiwi Steven Wirajaya Yogi Purnawan Yogi Purnawan Yogi Yusuf Wibisono