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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)

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 consultantâs 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

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

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

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.

ANALISIS TINGKAT KEPENTINGAN DAN PERFORMANSI LAYANAN PENDIDIKAN TINGGI DI TEKNIK INDUSTRI – UNPAR Yogi Yusuf Wibisono; Hotna M. R Sitorus
Research Report - Engineering Science Vol. 1 (2012)
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1653.826 KB)

Perbaikan secara berkesinambungan harus selalu dilakukan oleh organisasi apapun, termasuk institusi pendidikan agar dapat bertahan dan berkembang dalam persaingan yang sangat ketat. Teknik Industri sebagai salah satu program studi yang ada di Unpar juga menghadapi situasi persaingan dalam merebut calon mahasiswa yang semakin ketat. Adanya stagnansi peminat yang mendaftar ke Teknik Industri Unpar harus diwaspadai oleh pengelola program studi. Upaya-upaya kreatif untuk meningkatkan jumlah peminat harus terus dipikirkan tidak hanya sekedar melalui promosi-promosi tetapi juga dengan upaya jangka panjang seperti membangun reputasi yang baik di mata masyarakat. Reputasi dapat dicapai dengan penyampaian mutu yang tinggi kepada konsumennya. Saat ini di mata mahasiswa sebagai konsumen utama Program Studi Teknik Industri, mutu layanan yang disampaikan TI masih belum sempurna. Oleh karena itu perbaikan terhadap mutu layanan menjadi sangat krusial. Hampir tidak mungkin semua perbaikan dilakukan dalam waktu yang bersamaan. Banyak kendala antara lain yang utama adalah dana menuntut organisasi termasuk TI-Unpar untuk melakukan prioritas perbaikan. Dalam penelitian ini, prioritas perbaikan disusun dengan melihat dampak perbaikan terhadap kepuasan mahasiswa sehingga sumber daya yang dimiliki dapat dimanfaatkan secara efisien dan efektif.

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

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

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.

MENINGKATKAN NIAT TAMU BISNIS UNTUK MEMESAN HOTEL BINTANG EMPAT Lilianto, Kent Julian; Hotna Marina Sitorus
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 9 No 2 (2025): IJEBAR: Vol. 9 Issue 2, June 2025
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v9i2.16808

Business guests and leisure guests have different behaviors when choosing a hotel. This research aims to identify the factors that influence business guests to book four-star hotels. We purpose seven hypotheses to analyze the effect of online reviews, price, quality, location, business facilities, trust in the hotel, and perceived value on the intention to hotel booking. The proposed model is evaluated using partial least squares structural equation modeling (PLS-SEM), based on 250 data collected from business guests at four-star hotels in the City of Bandung, Indonesia. The results show that all seven hypotheses are supported: online reviews, price, quality, location, business facilities, trust in the hotel, and perceived value significantly influence the intention to book the hotel. The findings of this research are used to develop recommendations for one of the hotels in the city of Bandung that is facing challenges in increasing the occupancy rate of business guests.

PROPOSED IMPROVEMENTS TO INCREASE CUSTOMER REPURCHASE INTENTIONS AT DEPARTMENT STORE X Budiono, Fernand Amadeo; Sitorus, ,Hotna Marina Rosaly
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 9 No 2 (2025): IJEBAR: Vol. 9 Issue 2, June 2025
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v9i2.17104

The retail sector is one of the most significant sectors of the Indonesian economy, where according to the Minister of Trade, it contributed 53,56% of GDP in the first quarter of 2022. One example of a retail business in Indonesia is Department Store X, located in Bandung City, one of Indonesia’s largest retail markets. However, since 2017, the number of visitors and sales there has stagnated, and has been pretty much the same for the last 6-7 years, despite rising costs of labor and product procurement, which is very concerning for the store’s longevity. The objective of this research is to identify and analyze what key factors effect customer repurchase intentions at Bandung City department stores such as Department Store X, as it was found that the problem was caused by low customer retention. Many old customers were hesitant or unwilling to shop in Department Store X again. This research itself aims to study the effect of several independent variables, including advertising and promotions, store environment & layout, service quality, product diversity, and location as well as several mediating variables, including customer satisfaction, perceived value, and emotions/feelings in the store on the dependent variable of customer repurchase intentions. The methodology used in this research involved using a questionnaire with a convenience sampling technique for data collection and PLS-SEM (Partial Least Squares Structural Equation Modelling) for data processing. The results of this research found that product diversity, location, and customer satisfaction had a positive and significant effect on repurchase intention.

PROPOSED IMPROVEMENTS TO INCREASE CUSTOMER REPURCHASE INTENTIONS AT DEPARTMENT STORE X Budiono, Fernand Amadeo; Sitorus, Hotna Marina Rosaly
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 9 No 2 (2025): IJEBAR: Vol. 9 Issue 2, June 2025
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v9i2.17105

The retail sector is one of the most significant sectors of the Indonesian economy, where according to the Minister of Trade, it contributed 53,56% of GDP in the first quarter of 2022. One example of a retail business in Indonesia is Department Store X, located in Bandung City, one of Indonesia’s largest retail markets. However, since 2017, the number of visitors and sales there has stagnated, and has been pretty much the same for the last 6-7 years, despite rising costs of labor and product procurement, which is very concerning for the store’s longevity. The objective of this research is to identify and analyze what key factors effect customer repurchase intentions at Bandung City department stores such as Department Store X, as it was found that the problem was caused by low customer retention. Many old customers were hesitant or unwilling to shop in Department Store X again. This research itself aims to study the effect of several independent variables, including advertising and promotions, store environment & layout, service quality, product diversity, and location as well as several mediating variables, including customer satisfaction, perceived value, and emotions/feelings in the store on the dependent variable of customer repurchase intentions. The methodology used in this research involved using a questionnaire with a convenience sampling technique for data collection and PLS-SEM (Partial Least Squares Structural Equation Modelling) for data processing. The results of this research found that product diversity, location, and customer satisfaction had a positive and significant effect on repurchase intention.

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