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Silitonga, Roland
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Inovasi Sistem Bisnis Sebagai Alternatif Inovasi Produk-Proses di masa Steady/Specific State Silitonga, Roland
Jurnal Telematika Vol. 6 No. 1 (2010)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v6i1.37

Abstract

Para peneliti telah memperhatikan pola-pola inovasi yang berhasil selama bertahun-tahun. Salah satu kerangka proses inovasi yang telah diterima secara luas adalah yang dikembangkan Utterback dan Abernathy. Menurut mereka, proses inovasi dapat digambarkan dalam tiga tahap, tahap cair (fluid phase), tahap transisi (transitional phase) dan tahap spesifik. Para ahli tersebut mendiskusikan bahwa setelah gelombang inovasi besar produk danproses, terjadi masa penurunan bahkan stagnant, sebelum terjadi lagi gelombang inovasi produk dan proses berikutnya. Kerangka inovasi ini melihat proses inovasi secara sekuensial, berbeda dengan pendekatan lain, yang umumnya melihat proses inovasi sebagai sebuah sistem dengan berbagai komponennya. Pada tulisan ini, diusulkan kerangka proses inovasi dengan memasukkan inovasi sistem bisnis setelah gelombang inovasi produk-proses menurun, yaitu pada tahap steady / specific. Pengamatan inovasi sistem bisnis setelah product-process life cycle dapat dilakukan pada tiga tingkatan. Tingkatan pertama adalah pada perusahaan besar (enterprise), tingkatan kedua adalah pada bisnis kecil dan menengah, dan tingkat ketiga adalah pada bisnis individu. Beberapa arah penelitian lanjutan dapat diberikan. Pertama, bagaimana menempatkan inovasi sistem bisnis sebagai bagian dari siklus produk-proses. Kedua,, bagaimana formulasi dan implementasi model ini pada ketiga tingkatan yang telah dibahas dan ketiga, bagaimana pengembangan organisasi yang dapat mengadopsi ketiga gelombang inovasi ini. Selain itupenelitian lebih mendalam sebagai validasi kerangka yang diajukan masih terbuka.For years researchers has been learning the patterns of succesful innovation. One of the Innovation process models that have been generally accepted is Utterback and Abernathy’s model. In this model, innovation process can be represented in threephases, fluid phase, transitional phase, and specific/steady phase. Those experts state that after big innovation waves of product and process, there will be stagnant period, before the next innovation waves. This model approach innovation process sequentially, different with other approach, which generally see innovation process as a system with many components. In this paper, an Innovation process framework which include business system innovation after product-process innovation wvave decreased, at steady/specific phase, is proposed. The research of business system innovation after product-process life cycle can be performed atthree levels. Lfirst level is at enterprise, second is at small to medium business, and third level is at individual business. Some of future research directions are discussed. First, how to put business system innovation in product-process cycle. Second, how this can be formulated and implemented at the three levels of business, and the third, how to develop organizations so it able to adopt this model. Beside that, further research in model validation still can be explored. 
Dynamic Deterministic Inventory Control in Continuous Manufacturing Company Silitonga, Roland; Kurniawan, Andreas
Jurnal Telematika Vol. 9 No. 2 (2014)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v9i2.90

Abstract

Sistem pengendalian yang baik diperlukan untuk memudahkan pengendalian dan meminimalisir biaya, sehingga terdapat kecenderungan untuk mengasumsikan kondisi desterministik untuk kemudian dioptimasi. Walaupun demikian, dalam kenyataan, ketidakpastian dan fluktuasi terkadang ditemukan dalam beberapa kasus. Oleh karena itu, kondisi probabilistik tersebut dapat didekati dengan penjadwalan deterministik dinamis. Salah satu contoh adalah produksi Perusahaan X yang bersifat kontinyu, namun kebutuhan bahan utilitynya mengalami fluktuasi. Berdasarkan metode ini, biaya inventori dapat dikurangi dibandingkan dengan pengendalian statis yang selama ini dilakukan.Good inventory control system is needed in order to make the control simple, but also to reduce cost. Hence there is intention to assume deterministic condition, and then optimize it. However, uncertainty and fluctuation is found in many cases. Hence, the probabilistic condition can be approached by dynamic deterministic schedule. One of the examples is production of Company X which considered as continuous, with material demand of utility has fluctuation. The application of this method has reduced the inventory cost.
Analisis Kebijakan Manajemen Persediaan Probabilistik Dengan Model Q dan P Lost Sales Silitonga, Roland; Sarim, Sandria; Yuli, Friska
Jurnal Telematika Vol. 10 No. 1 (2015)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v10i1.125

Abstract

Permasalahan utama di karaoke X adalah penumpukan barang di gudang. Berdasarkan permasalahan yang terjadi di perusahaan, maka dalam penelitian ini akan dilakukan analisis perhitungan kebijakan pengendalian persediaan yang optimal dengan  menggunakan model pengendalian persediaan probabilistik, yaitu model Q dan model P dengan lost sales. Perhitungan akan dilakukan terhadap lima produk kategori A berdasarkan perhitungan klasifikasi ABC. Model Q dengan lost sales dipilih menjadi model usulan kebijakan yang paling optimal untuk diterapkan di perusahaan. Ongkos total persediaan yang dihasilkan dengan model ini untuk produk Martell VSOP adalah Rp1.081.737.564,86, untuk produk Chivas Regal 12 YO adalah Rp622.624.222,59, untuk produk Sampoerna Mild Red adalah Rp187.862.431,34, untuk produk Jose Cuervo Tequila adalah sebesar Rp124.143.874,97, dan untuk produk Martell Cord. Bleu adalah sebesar Rp 87.437.336,15. Adapun ongkos-ongkos tersebut merupakan ongkos total persediaan paling minimum dengan service level untuk Martell VSOP adalah 99,61%, untuk Chivas Regal 12 YO adalah 99,59%, untuk Sampoerna Mild Red 98,51%, untuk Jose Cuervo Tequila adalah 98,90%, dan untuk Martell Cord. Bleu adalah 94,41%.Main issues on Karaoke X is accumulation of product stocks on warehouse. Based on this issues on this firm, this research will be done with analysis of optimum calculation management on stock policies with using probabilistic stock management model that is using Q model and P model with lost sales. Calculation will be done on five products a category based on ABC classifaction calculation. Q model with lost sales was selected to become proposal policies model for the most optimum for applied to the firm. Stock total cost result from this model is for Martell VSOP product is Rp1.081.737.564,86, for Chivas Regal 12 YO product is Rp622.624.222,59, for Sampoerna Mild product is Rp187.862.431,34 for Jose Cuervo Tequila product is Rp124.143.874,97 and for Martell Cord. Bleu product is Rp87.437.336,15. As for cost for those product was from inventory total cost with the most minimum and service level for Martell VSOP is 99,61%, for Chivas Regal 12 YO is 99,59%, for Sampoerna Mild Red is 98,51%, for Jose Cuervo Tequila is 98,90%, and for Martell Cord. Bleu is 94,41%.
Model Pengendalian Sistem Persediaan Dua Eselon dengan Memperhatikan Pengelompokan Pelanggan Silitonga, Roland; Julian, Kevin
Jurnal Telematika Vol. 14 No. 2 (2019)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v14i2.307

Abstract

Two echelons inventory system is the common structure of consumption product distribution business, where one or more depots distribute product to customers. Each depot supplied by a manufacturer (factory). Optimization of such structure will minimize inventory cost and transportation cost, from factory to the depot and from the depot to the customers. There is a trade off between the order cost and holding cost, and between the frequency of delivery and the transportation capacity used by each delivery. In this study, optimization was done to PT Z, a company with a structure of one factory, one depot and 30 customers. To further optimize the total cost, the customers were grouped based on locations, to increase the capacity used of the transportation. The optimization was done to determine optimum order, at the depot and at the customers. The result showed a significant decrease in cost. The next step is to implement the system into an application.Bentuk umum rantai pasok pada usaha distribusi produk konsumsi adalah dua eselon, di mana terdapat depot yang melayani banyak pelanggan. Depot itu sendiri dipasok oleh pabrik. Optimisasi sistem inventori dua eselon ini akan meminimasi biaya inventori dan juga biaya transportasi, baik dari pabrik ke depot maupun dari depot ke pelanggan. Terdapat trade-off antara biaya pesan dengan biaya simpan, juga antara jumlah pengiriman dan persentase kapasitas alat angkut yang terpakai setiap pengiriman. Pada penelitian ini dilakukan usaha optimasi sistem inventori di PT Z, sebuah perusahaan yang terdiri atas satu pabrik, satu depot, dan tiga puluh pelanggan. Optimisasi dilakukan untuk mendapatkan jumlah pemesanan yang optimum pada depo dan tiap pelanggan. Untuk meminimasi biaya transportasi dilakukan pengelompokan pelanggan berdasarkan lokasi, sehingga terjadi peningkatan persentase kapasitas angkut yang terpakai. Penelitian ini kemudian membandingkan biaya transportasi dengan pengelompokan pelanggan dan pengiriman tanpa pengelompokkan pelanggan. Hasilnya menunjukkan terdapat penurunan biaya yang cukup signifikan. Tahap berikutnya adalah menerapkan sistem pemesanan yang dibangun ke dalam aplikasi.
Analisis Pengaruh Incremental Discount Pada Model Persediaan Multi Item Dengan Faktor Kedaluwarsa dan Kendala Kapasitas Silitonga, Roland; Kristiana, Leo Rama; Abel, Philo
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6840.131-144

Abstract

The retail industry engaged in the pharmaceutical sector such as pharmacies sells various types of medicinal products and medical chemicals with fluctuating demand characteristics. This is due to the emergence of diseases that cannot be predicted with certainty. Inventory management is an important aspect to ensure the availability of medicines when needed while still being able to minimize losses both from retained capital on goods and potential expiration. Medicinal products themselves have a certain shelf-life, so products that have expired cannot be used again and cause losses to company. The form of inventory management policy is the order lot size, time between orders and reorder points. To determine the size of the order lot, in addition to the expiration aspect, the limitations of the warehouse as a place of storage and purchase discount factors need to be considered. The existence of a discount policy from suppliers can be used to minimize purchasing costs which are a component of inventory costs. The form of the discount policy that is generally given is the all-unit discount, but for certain types of products the policy given is an incremental discount. The purpose of this study is to build a multi-item probabilistic inventory model by considering the expiration factor, warehouse capacity constraints, and purchasing discount policies. This research will compare two discount policies, namely incremental discount and all unit discount. Based on the results of the sensitivity analysis, it is known that the model is sensitive to the parameters of unit discount provisions, good goods fraction, and holding costs.
Analisis Pengaruh Incremental Discount Pada Model Persediaan Multi Item Dengan Faktor Kedaluwarsa dan Kendala Kapasitas Silitonga, Roland; Kristiana, Leo Rama; Abel, Philo
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6840.131-144

Abstract

The retail industry engaged in the pharmaceutical sector such as pharmacies sells various types of medicinal products and medical chemicals with fluctuating demand characteristics. This is due to the emergence of diseases that cannot be predicted with certainty. Inventory management is an important aspect to ensure the availability of medicines when needed while still being able to minimize losses both from retained capital on goods and potential expiration. Medicinal products themselves have a certain shelf-life, so products that have expired cannot be used again and cause losses to company. The form of inventory management policy is the order lot size, time between orders and reorder points. To determine the size of the order lot, in addition to the expiration aspect, the limitations of the warehouse as a place of storage and purchase discount factors need to be considered. The existence of a discount policy from suppliers can be used to minimize purchasing costs which are a component of inventory costs. The form of the discount policy that is generally given is the all-unit discount, but for certain types of products the policy given is an incremental discount. The purpose of this study is to build a multi-item probabilistic inventory model by considering the expiration factor, warehouse capacity constraints, and purchasing discount policies. This research will compare two discount policies, namely incremental discount and all unit discount. Based on the results of the sensitivity analysis, it is known that the model is sensitive to the parameters of unit discount provisions, good goods fraction, and holding costs.
Co-Authors Abel, Philo Andreas Kurniawan, Andreas Julian, Kevin Leo Rama Kristiana Sarim, Sandria Yuli, Friska