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PENGEMBANGAN DIMENSI KUALITAS LAYANAN E-BANKING DAN HUBUNGANNYA DENGAN KEPUASAN SERTA LOYALITAS KONSUMEN Tan, Alfian; Sukapto, Paulus; Sitompul, Carles
Jurnal Ilmiah Teknik Industri Vol. 13, No. 1, Juni 2014
Publisher : Universitas Muhammadiyah Surakarta

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

SERVQUAL is a service quality measurement model that is assumed to be widely applicable in every sector of service industry, yet research proves the opposite. Characteristic of customer in each segment can be a factor that causes differences in measurement model. According to that fact, this research is conducted to identify the difference of measurement model in each customer segment, especially in e-banking industry. Not only we identify the measurement model,Â this research is done to confirm the relationship between 3 constructs as well, which are service quality, satisfaction, and loyalty. Several statistical method will be introduced here in relationship with segmentation process, measurement model identification, dan the three constructs validation process. Segmentation process yields 2 customer segments which are people with high and moderate expectation to service quality. In the first segment, the measurement model consists of 4 quality dimensions, which are fullfilment, efficiency, assurance, and web design while there are 5 dimensions in the second segment which are fulfillment, responsiveness, information technology, assurance, and efficiency. There are also significant relationships among service quality, satisfaction, and loyalty.

Perancangan Model VMI (Vendor Managed Inventory) dengan Satu Pemasok dan Banyak Retailer yang Meminimasi Ongkos Total Rantai Pasok Yosefa, ~; Sitompul, Carles; Alfian, ~
Jurnal Rekayasa Sistem Industri Vol 4, No 2 (2015): Jurnal Rekayasa Sistem Industri
Publisher : Jurnal Rekayasa Sistem Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.41 KB)

pertumbuhan ekonomi yang terjadi di negara tersebut. Untuk memenangkan kompetisi, perusahaanperusahaanberlomba memperbaiki kinerja mereka. Salah satu cara yang dilakukan adalahmenerapkan sistem persediaan barang yang lebih efisien yaitu dengan menerapkan manajemen supplychain yang akan memberikan keuntungan bagi pihak supplier maupun pihak retailer. VMI (VendorManaged Inventory) merupakan salah satu metode dalam supply chain yang memberikan keuntunganbagi perusahaan melalui waktu replenishment yang singkat, perbaikan customer service level, total biayarantai pasok yang lebih kecil dibanding metode persediaan tradisional. Penelitianpenelitianyang sudah dilakukan saat ini baru sebatas model VMI satu supplier dengan satu retailer. Padahalpada kenyataannya satu supplier dapat berhubungan dengan satu atau lebih retailer atau bahkansebaliknya banyak supplier yang berhubungan dengan 1 retailer. Kondisi seperti ini menyebabkanperlunya pengembangan model yang melibatkan banyak retailer maupun supplier.Dalam penelitian ini, dilakukan pengembangan model VMI yang dibatasi pada kondisi satusupplier dengan banyak retailer. Dilakukan penentuan parameter, variabel keputusan, fungsi tujuandan koefisien pembatas untuk merancang model. Model yang dirancang kemudian diimplementasikanke dalam bahasa pemrograman AMPL dan solusinya didapatkan dengan penggunaansoftware NEOS. Datadata yang digunakan merupakan data ilustrasi. Setelah didapat hasil daripengimplementasian model, selanjutnya dibuat analisis berdasarkan hasil serta analisis sensitivitasuntuk model. Hasil penggunaan model VMI (Vendor Managed Inventory) yang dirancang kemudiandibandingkan dengan hasil penggunaan metode lain, yaitu Q System serta WagnerWithin Algorithm.

Pengembangan Model Vendor Managed Inventory dengan Banyak Retailer yang Mempertimbangkan Ketidakpastian Lead Times Sitompul, Carles; Ariningsih, Paulina; Santosa, Ida Bagus Deva Narswara
Jurnal Rekayasa Sistem Industri Vol 7, No 1 (2018): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

An inventory management system in supply chains called Vendor Managed Inventory (VMI) is very promising due to the cost efficiency resulted from implementing such system. This research aims to develop a vendor managed inventory for multiple retailers. The model also takes into account lead time uncertainties from vendor to its retailers. A mathematical formulation for VMI with multiple retailers is first developed using deterministic lead times.Â Subsequently, lead times uncertainties are then taken into account where modes lead times are broken into two components: modes and delays, each with their respective probabilities. In turn, an approximation model is used to solve the problem because the complexity aroused from the model is difficult to solve using analytical methods. It is shown that the proposed approximation method is able to solve VMI problem with multiple retailers and uncertain lead times.Â Furthermore, the total inventory cost is significantly reduced when compared to the usual economic order quantity method because stockouts are less frequent.

Perancangan Model VMI (Vendor Managed Inventory) dengan Satu Pemasok dan Banyak Retailer yang Meminimasi Ongkos Total Rantai Pasok Yosefa, ~; Sitompul, Carles; Alfian, ~
Jurnal Rekayasa Sistem Industri Vol 4, No 2 (2015): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

pertumbuhan ekonomi yang terjadi di negara tersebut. Untuk memenangkan kompetisi, perusahaanperusahaanberlomba memperbaiki kinerja mereka. Salah satu cara yang dilakukan adalahmenerapkan sistem persediaan barang yang lebih efisien yaitu dengan menerapkan manajemen supplychain yang akan memberikan keuntungan bagi pihak supplier maupun pihak retailer. VMI (VendorManaged Inventory) merupakan salah satu metode dalam supply chain yang memberikan keuntunganbagi perusahaan melalui waktu replenishment yang singkat, perbaikan customer service level, total biayarantai pasok yang lebih kecil dibanding metode persediaan tradisional. Penelitianpenelitianyang sudah dilakukan saat ini baru sebatas model VMI satu supplier dengan satu retailer. Padahalpada kenyataannya satu supplier dapat berhubungan dengan satu atau lebih retailer atau bahkansebaliknya banyak supplier yang berhubungan dengan 1 retailer. Kondisi seperti ini menyebabkanperlunya pengembangan model yang melibatkan banyak retailer maupun supplier.Dalam penelitian ini, dilakukan pengembangan model VMI yang dibatasi pada kondisi satusupplier dengan banyak retailer. Dilakukan penentuan parameter, variabel keputusan, fungsi tujuandan koefisien pembatas untuk merancang model. Model yang dirancang kemudian diimplementasikanke dalam bahasa pemrograman AMPL dan solusinya didapatkan dengan penggunaansoftware NEOS. Datadata yang digunakan merupakan data ilustrasi. Setelah didapat hasil daripengimplementasian model, selanjutnya dibuat analisis berdasarkan hasil serta analisis sensitivitasuntuk model. Hasil penggunaan model VMI (Vendor Managed Inventory) yang dirancang kemudiandibandingkan dengan hasil penggunaan metode lain, yaitu Q System serta WagnerWithin Algorithm.

Pengembangan Model Blood Mobile Collection Routing Problem (BMCRP) pada Proses Pengumpulan Darah Iswari, Titi; Setiawan, Fran; Sitompul, Carles
Jurnal Rekayasa Sistem Industri Vol 7, No 2 (2018): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

This research develop a model of blood mobile collection using blood donor vehicle efficiently by determining the optimal route of blood collection to the points of blood collection. The model developed in the form of mixed integer nonlinear programming (MINLP) and this model is called Blood Mobile Collection Routing Problem (BMCRP). The purpose of this model is to minimize the total distance of the blood collection routing process in which each place of blood collection has the opening hours and the closing time (time windows) and the service time in each place. This study considers the blood age (spoilage time) for 6 hours to ensure blood quality. The mathematical model is then verified to determine whether the solution is in accordance with the characteristics of BMCRP. Verification is done by solving Blood Mobile Collection Routing small cases. The simulation of solving BMCRP is done by generating eight hypothetical data sets of small cases based on vehicle routing data problems with different characteristics. Verification of BMCRP uses LINGO software. From the simulation results, the BMCRP model can obtain optimal solutions with minimum total distance travelled and does not violate any constraints on BMCRP.

PENGEMBANGAN DIMENSI KUALITAS LAYANAN E-BANKING DAN HUBUNGANNYA DENGAN KEPUASAN SERTA LOYALITAS KONSUMEN Tan, Alfian; Sukapto, Paulus; Sitompul, Carles
Jurnal Ilmiah Teknik Industri Vol. 13, No. 1, Juni 2014
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v13i1.305

SERVQUAL is a service quality measurement model that is assumed to be widely applicable in every sector of service industry, yet research proves the opposite. Characteristic of customer in each segment can be a factor that causes differences in measurement model. According to that fact, this research is conducted to identify the difference of measurement model in each customer segment, especially in e-banking industry. Not only we identify the measurement model, this research is done to confirm the relationship between 3 constructs as well, which are service quality, satisfaction, and loyalty. Several statistical method will be introduced here in relationship with segmentation process, measurement model identification, dan the three constructs' validation process. Segmentation process yields 2 customer segments which are people with high and moderate expectation to service quality. In the first segment, the measurement model consists of 4 quality dimensions, which are fullfilment, efficiency, assurance, and web design while there are 5 dimensions in the second segment which are fulfillment, responsiveness, information technology, assurance, and efficiency. There are also significant relationships among service quality, satisfaction, and loyalty.

PENERAPAN MODEL PREVENTIVE MAINTENANCE SMITH DAN DEKKER DI PD. INDUSTRI UNIT INKABA Adianto, Hari; Sitompul, Carles; Susana, Susana
Jurnal Teknik Industri Vol 7, No 1 (2005): JUNE 2005
Publisher : Institute of Research and Community Outreach - Petra Christian University

The globalization era along with fast development of technology%2C industries must try to increase the quantity and quality of products that they have produced. The development of industrial products which have been increase continually need support from fluency of production process. In this case the industrial companies want a high availability system. PD Industri Unit Inkaba is one of the companies that moves in sector rubber technique industry. The company wants the production process go smoothly so that the company can keeps the existence and increases the productÂ’s quality with cost efficiency and can competes with foreign markets. The smoothness of production process needs support from machines or productionÂ’s tools that have good condition. To keep the machines in good condition so that they will in the optimal condition when used%2C then the machines need to be maintained. M.A.J. Smith dan R. Dekker develop a model that combine availability model and preventive maintenance and consider the expected uptime and downtime of the system. This model is a 1 out of n system model%2C which has one operating machine and support by (n Â– 1) unit machine reserves. A 1 out of n system is also applicable to replaceable components. Smith and DekkerÂ’s model gives the expected uptime and downtime of the system approximation that can gives good approximation of long term average operating cost. The results from decision of component preventive replacement age and optimal number of component reserve are expected to be able to keep the reliability system and be able to avoid the decease of availability system because of maintenance activity. Abstract in Bahasa Indonesia : Dalam era persaingan industri yang semakin global disertai perkembangan teknologi yang pesat%2C industri-industri terus berusaha meningkatkan kuantitas dan kualitas produk yang dihasilkannya. Perkembangan hasil industri yang semakin meningkat secara terus-menerus memerlukan dukungan proses produksi yang lancar. Dalam hal ini perusahaan industri menginginkan availabilitas sistem yang tinggi. PD Industri Unit Inkaba merupakan salah satu perusahaan yang bergerak dalam bidang industri barang teknik karet. Perusahaan menginginkan agar proses produksinya berjalan dengan lancar agar mampu mempertahankan eksistensinya dan meningkatkan kualitas produk serta efisiensi biaya agar mampu bersaing dengan pasar luar negeri. Kelancaran proses produksi membutuhkan dukungan mesin-mesin atau peralatan produksi yang berada dalam kondisi yang baik. Untuk menjaga kondisi dari mesin-mesin tersebut agar berada dalam keadaan yang optimal saat digunakan%2C maka diperlukan kegiatan perawatan pada mesin-mesin tersebut. M.A.J. Smith dan R. Dekker mengembangkan suatu model yang menggabungkan model availabilitas dan model perawatan pencegahan dengan memperhatikan uptime dan downtime dari sistem. Model ini merupakan model 1 out of n system%2C yaitu sebuah model yang terdiri dari satu mesin yang beroperasi dan didukung oleh (n-1) unit mesin cadangan. Model 1 out of n system juga dapat diaplikasikan pada komponen-komponen mesin. Model Smith dan Dekker memberikan perkiraan uptime dan downtime sistem sehingga dapat diperoleh perkiraan yang baik untuk rata-rata biaya operasi dalam jangka waktu panjang. Hasil penentuan umur penggantian pencegahan komponen dan jumlah komponen cadangan yang optimal diharapkan mampu menjaga keandalan sistem dan mampu menghindari menurunnya availabilitas sistem karena tindakan pemeliharaan. combine availability mode%2C preventive maintenanc.

Perancangan Model VMI (Vendor Managed Inventory) dengan Satu Pemasok dan Banyak Retailer yang Meminimasi Ongkos Total Rantai Pasok ~ Yosefa; Carles Sitompul; ~ Alfian
Jurnal Rekayasa Sistem Industri Vol. 4 No. 2 (2015): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

pertumbuhan ekonomi yang terjadi di negara tersebut. Untuk memenangkan kompetisi, perusahaanperusahaanberlomba memperbaiki kinerja mereka. Salah satu cara yang dilakukan adalahmenerapkan sistem persediaan barang yang lebih efisien yaitu dengan menerapkan manajemen supplychain yang akan memberikan keuntungan bagi pihak supplier maupun pihak retailer. VMI (VendorManaged Inventory) merupakan salah satu metode dalam supply chain yang memberikan keuntunganbagi perusahaan melalui waktu replenishment yang singkat, perbaikan customer service level, total biayarantai pasok yang lebih kecil dibanding metode persediaan tradisional. Penelitianpenelitianyang sudah dilakukan saat ini baru sebatas model VMI satu supplier dengan satu retailer. Padahalpada kenyataannya satu supplier dapat berhubungan dengan satu atau lebih retailer atau bahkansebaliknya banyak supplier yang berhubungan dengan 1 retailer. Kondisi seperti ini menyebabkanperlunya pengembangan model yang melibatkan banyak retailer maupun supplier.Dalam penelitian ini, dilakukan pengembangan model VMI yang dibatasi pada kondisi satusupplier dengan banyak retailer. Dilakukan penentuan parameter, variabel keputusan, fungsi tujuandan koefisien pembatas untuk merancang model. Model yang dirancang kemudian diimplementasikanke dalam bahasa pemrograman AMPL dan solusinya didapatkan dengan penggunaansoftware NEOS. Datadata yang digunakan merupakan data ilustrasi. Setelah didapat hasil daripengimplementasian model, selanjutnya dibuat analisis berdasarkan hasil serta analisis sensitivitasuntuk model. Hasil penggunaan model VMI (Vendor Managed Inventory) yang dirancang kemudiandibandingkan dengan hasil penggunaan metode lain, yaitu Q System serta WagnerWithin Algorithm.

Pengembangan Model Blood Mobile Collection Routing Problem (BMCRP) pada Proses Pengumpulan Darah Titi Iswari; Fran Setiawan; Carles Sitompul
Jurnal Rekayasa Sistem Industri Vol. 7 No. 2 (2018): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

This research develop a model of blood mobile collection using blood donor vehicle efficiently by determining the optimal route of blood collection to the points of blood collection. The model developed in the form of mixed integer nonlinear programming (MINLP) and this model is called Blood Mobile Collection Routing Problem (BMCRP). The purpose of this model is to minimize the total distance of the blood collection routing process in which each place of blood collection has the opening hours and the closing time (time windows) and the service time in each place. This study considers the blood age (spoilage time) for 6 hours to ensure blood quality. The mathematical model is then verified to determine whether the solution is in accordance with the characteristics of BMCRP. Verification is done by solving Blood Mobile Collection Routing small cases. The simulation of solving BMCRP is done by generating eight hypothetical data sets of small cases based on vehicle routing data problems with different characteristics. Verification of BMCRP uses LINGO software. From the simulation results, the BMCRP model can obtain optimal solutions with minimum total distance travelled and does not violate any constraints on BMCRP.

Pengembangan Model Vendor Managed Inventory dengan Banyak Retailer yang Mempertimbangkan Ketidakpastian Lead Times Carles Sitompul; Paulina Ariningsih; Ida Bagus Deva Narswara Santosa
Jurnal Rekayasa Sistem Industri Vol. 7 No. 1 (2018): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

An inventory management system in supply chains called Vendor Managed Inventory (VMI) is very promising due to the cost efficiency resulted from implementing such system. This research aims to develop a vendor managed inventory for multiple retailers. The model also takes into account lead time uncertainties from vendor to its retailers. A mathematical formulation for VMI with multiple retailers is first developed using deterministic lead times. Subsequently, lead times uncertainties are then taken into account where modes lead times are broken into two components: modes and delays, each with their respective probabilities. In turn, an approximation model is used to solve the problem because the complexity aroused from the model is difficult to solve using analytical methods. It is shown that the proposed approximation method is able to solve VMI problem with multiple retailers and uncertain lead times. Furthermore, the total inventory cost is significantly reduced when compared to the usual economic order quantity method because stockouts are less frequent.

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