Henry Yuliando
Fakultas Teknologi Pertanian, Jurusan Teknologi Industri Pertanian, Universitas Gadjah Mada, Jl. Flora, Bulaksumur, Yogyakarta 55281

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Dampak Kebijakan Pembatasan Impor Bawang Merah terhadap Usahatani Bawang Merah di Kabupaten Probolinggo Wahyudin, Mohammad; Maksum, Mochmammad; Yuliando, Henry
Agritech Vol 35, No 3 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.199 KB) | DOI: 10.22146/agritech.9347

Abstract

On January - August 2013, the government implemented a quota-based import restriction policy for the shallot. While on September 2013, the government then changed it into a price-based import restriction. This research aims to determine how the impact of the quota-based and price-based import restrictions to the level of protection, profitability, and efficiency of farm. The method of analysis used in this research is PAM (Policy Analysis Matrix) method. The results showed that the quota-based import restriction policy has increased 141%, 270%, and 32% of protection, profitability, and efficiency of shallot farming, respectively. The price-based import restriction policyhas decreased 46% and 233% of protection and profitability of shallot farming, however it has increased 1% of the efficiency.ABSTRAKPada Januari - Agustus 2013, pemerintah menerapkan kebijakan pembatasan impor berbasis kuota terhadap komoditas bawang merah. Selanjutnya, pada September 2013 pemerintah mengubah kebijakan tersebut menjadi pembatasan impor berbasis harga. Penelitian ini bertujuan untuk mengetahui bagaimana dampak kebijakan pembatasan impor berbasis kuota dan berbasis harga terhadap proteksi, profitabilitas, dan efisiensi usahatani bawang merah. Metode analisis yang digunakan dalam penelitian ini adalah metode Policy Analysis Matrix (PAM). Hasil penelitian menunjukkan bahwa kebijakan pembatasan impor berbasis kuota telah meyebabkan proteksi, profitabilitas, dan efisiensi usahatani bawang merah meningkat 141%, 270%, dan 32%. Sedangkan kebijakan pembatasan impor berbasis harga menyebabkan proteksi dan profitabilitas usahatani turun 46% dan 233%, dan efisiensi usahatani meningkat 1%.
Kriteria Pemilihan Pemasok Menggunakan Analytical Network Process Kurniawati, Dewi; Yuliando, Henry; Widodo, Kuncoro Harto
Jurnal Teknik Industri Vol 15, No 1 (2013): JUNE 2013
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.046 KB) | DOI: 10.9744/jti.15.1.25-32

Abstract

The selection of supplier is a strategic decision in supply chain which increase competitive advantages. Every manufacture needs to have a standard supplier selection that appropriate with the requirement of the company. The aims of this paper are promoting some criterias of supplier selection and testing whether there are differences interests against priority criteria referred to of strata tenure distinct. Weights and priorities of the criteria tested with a method of analytic network process (ANP) are also intended to bring up a relation of mutual influence among the criteria. ANP can be used to help making decision of selection supplier and to manage supply chain performance. This paper shows the criteria that influence are the past perfomance, price, communication systems, and a supplier of professionalism is the priority for the production of the company. In the other hand, the importance of management is the delivery time, consistent quality, price, and number of delivery. The difference in perspective is influenced by the level of interest and different responsibilities. The difference this assessment formed the basis of decision-making and strategic policies of the supply chain according to the condition of the company.
The Improvement of Sugar Distribution System Using Value Stream Mapping (VSM) Approach A Case Study: Industri Gula Nusantara, Kendal, Jawa Tengah Muchfirodin, Muchamad; Yuliando, Henry; Guritno, Adi Joko
Agritech Vol 33, No 1 (2013)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1779.813 KB) | DOI: 10.22146/agritech.9571

Abstract

This study was aimed to find kind of improvements of sugar distribution system using value stream mapping (VSM) when some inefficiencies in physical and service activities were encountered that will cause wasting time. The VSM was directed to reduce non value added time as the performace parameter. VSM was used to analyze thus inefficiencies because using VSM can simply mapping to trace whole activities both of material and service flow from beginning to the end of process. A case study of Industri Gula Nusantara showed that in its service operations, there were an inefficiency in the process of issueing the loading order. Move thus activity a day earlier, the improvement sounds a shorter service time over order and delivery schedule which in further make a better operation and service over the whole process of sugar distribution. At same time a policy of safety stock or inventory leveling could minimize stock out occasion by the increasing of service level from 25% to 38% that was close to standard deviation of demand during lead time.
Kriteria Pemilihan Pemasok Menggunakan Analytical Network Process Kurniawati, Dewi; Yuliando, Henry; Widodo, Kuncoro Harto
Jurnal Teknik Industri Vol 15, No 1 (2013): JUNE 2013
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.046 KB) | DOI: 10.9744/jti.15.1.25-32

Abstract

The selection of supplier is a strategic decision in supply chain which increase competitive advantages. Every manufacture needs to have a standard supplier selection that appropriate with the requirement of the company. The aims of this paper are promoting some criterias of supplier selection and testing whether there are differences interests against priority criteria referred to of strata tenure distinct. Weights and priorities of the criteria tested with a method of analytic network process (ANP) are also intended to bring up a relation of mutual influence among the criteria. ANP can be used to help making decision of selection supplier and to manage supply chain performance. This paper shows the criteria that influence are the past perfomance, price, communication systems, and a supplier of professionalism is the priority for the production of the company. In the other hand, the importance of management is the delivery time, consistent quality, price, and number of delivery. The difference in perspective is influenced by the level of interest and different responsibilities. The difference this assessment formed the basis of decision-making and strategic policies of the supply chain according to the condition of the company.
Dynamic Modeling of the Drying Process of Corn Grains using Neural Networks Aji, Galih Kusuma; Bachtiar, Wildan Fajar; Yuliando, Henry; Suwondo, Endy
agriTECH Vol 39, No 3 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (107.588 KB) | DOI: 10.22146/agritech.44483

Abstract

This study examines the model development of the drying process of corn grains as a dynamic system. The appropriate use of a dynamic model for the drying process of corn grains could lead to an effective method for optimizing the system. The optimal control strategy can be determined by predicting the future behaviors of the process using a dynamic model. In this work, the dynamic characteristic of the water loss of corn grains during dynamics treatment of temperature in the drying process was measured in a continuous manner using a precise load cell. The nonlinear autoregressive with external input (NARX) neural network is used to identify and develop a model of dynamic characteristics of the drying process of corn grains. Then for model training and validation, the dynamic responses of the rate of water loss of corn grains to drying temperature were used. A three-layered NARX neural network model consists of 1-10-1 number neurons of each layer with two times delay was successfully developed to identify and make a model such a complex system. The developed model showed the accuracy of the rate water loss of corn grains during the drying process with the mean square error (MSE), and coefficient of determination (R-squared) values are 1.88892 x 10-4 and 0.891594 consecutively.