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PERUMUSAN STRATEGI PEMERINTAH DAERAH DALAM PENGEMBANGAN UMBI-UMBIAN LOKAL DI YOGYAKARTA [Design of Regional Government Strategy in Development the Local Tube Crops in Yogyakarta] Purwadi, Didik
Jurnal Teknologi & Industri Hasil Pertanian Vol 23, No 2 (2018): Jurnal Teknologi & Industri Hasil Pertanian
Publisher : Teknologi Hasil Pertanian Fakultas Pertanian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.297 KB) | DOI: 10.23960/jtihp.v23i2.75-81

Abstract

Local tuber crops are increasingly forced to exist, both because of the absence of market needs and the decrease of cultivation. In line with the carbohydrate diversification program, it is necessary to reformulate the current government policies related to tubers. The purpose of this study was to identify strengths, weaknesses, opportunities, and threats in the development of tubers, and formulate development strategies in the Special Region of Yogyakarta. This study used a qualitative descriptive approach, with SWOT techniques and disaggregation strategies. Based on this study, the government must improve coordination between agencies or institutions related to tubers, develop subsidy schemes to improve farmers' competitiveness through a more equitable system, and empower farmer groups, as well as develop cooperation in distribution networks and tubers information.
Strategi Pengembangan Potensi Wilayah Agroindustri Perkebunan Unggulan Herdhiansyah, Dhian; Sutiarso, Lilik; Purwadi, Didik; Taryono, T
Jurnal Teknik Industri Vol 13, No 2 (2012): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.636 KB) | DOI: 10.22219/JTIUMM.Vol13.No2.201-209

Abstract

The development of plantation agro-industry should refer to primary commodity approach. Until now there is no accurate reference for government Kolaka. The diversifications of products and by-product have not developed yet. The objectives of this research were to formulate development strategy of regional potential of the prime plantation agro industry. The object of this research is six primary commodities of plantation; those are cacao, clover, pepper, cashew, coconut, and coffee in Kolaka Regency with Delphi and SWOT methods. The research results showed that the development strategy of regional potential of the prime plantation agro industry there are at quadrant I or that strategy was created by using all the power to take advantage of opportunities that an aggressive strategy by doing independence improvement of the farmers through development and counseling, partnership development on agro-industry activities in the effort of giving additional value of production. 
Healthy Food Consumer Segmentation for Targeting and Positioning New Product Slimming Jelly Ita Yustina; Didik Purwadi; Nafis Khuriyati
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 10, No 3 (2021)
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.industria.2021.010.03.4

Abstract

AbstractThis study aims to determine market segments, market targets, and market positioning of slimming jelly using the segmentation analysis on healthy food consumer. The respondents used in this study were the consumers who regularly consume healthy food at least once per week within the last two months. The number of samples is 204 respondents. The consumer segmentation is done based on several variables including demographic aspects, motivation, consumption consistency, social tendencies, and attitudes towards new products. The segmentation analysis is carried out using the K-means non-hierarchical clustering method. The method splits the customers into three significantly different clusters at the 0.05 level, namely the adolescent age segment, which has attention to body shape, the adult segment which focus on body weight control, and the adults' segment which are not interested on body weight control. Based on the principle of selective specialization, the target market for slimming jelly is in clusters 1 and 2, with slimming jelly is positioned as a hunger delaying food that claimed to be high in fiber and low in calories so that it is suitable for health and can be used in diet programs.Keywords: healthy food, positioning, segmentation, slimming food, targeting Abstrak Tujuan penelitian ini adalah menentukan segmen pasar, target pasar, dan positioning produk slimming jelly melalui segmentasi konsumen healthy food. Sampel yang digunakan adalah pengkonsumsi healthy food secara rutin minimal 1 kali per minggu dan terakhir melakukan konsumsi dua bulan yang lalu. Jumlah sampel sebanyak 204 responden. Segmentasi berdasarkan pada variabel dari aspek demografis, motivasi, konsistensi konsumsi, kecenderungan sosial, dan sikap terhadap produk baru. Analisis segmentasi menggunakan metode K-means non hierarchical clustering menghasilkan tiga klaster pasar yang berbeda secara siginifikan pada taraf 0,05, yaitu segmen usia remaja yang memiliki perhatian terhadap bentuk badan, segmen dewasa yang memiliki tujuan manajemen berat badan, dan segmen dewasa yang kurang memiliki motivasi manajemen berat badan. Target pasar slimming jelly berdasarkan prinsip selective specialization adalah pada klaster 1 dan 2 dengan positioning slimming jelly sebagai makanan selingan penunda lapar yang memiliki klaim tinggi serat dan rendah kalori sehingga baik untuk kesehatan dan dapat digunakan untuk membantu program diet.Kata kunci: healthy food, positioning, segmentasi, slimming food, targeting 
PENGEMBANGAN STRATEGI BISNIS RESTORAN SEGMEN ATAS DI YOGYAKARTA DENGAN PENDEKATAN CRITICAL SUCCESS FACTORS Edouard Aryadi Supriyadi; Wahyu Supartono; Didik Purwadi
Jurnal Teknologi Industri Pertanian Vol. 30 No. 3 (2020): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2020.30.3.265

Abstract

Yogyakarta is the right place to run a culinary business because of Yogyakarta's status as a city of culture, education city, and tourist destination, so it requires restaurant facilities, including for the high class segment. The right business strategy is needed to minimize the risk of competing and maximize the advantages of competition. The object of this research was GW restaurants and the comparisons were LD and SS restaurants. This research was aimed at identifying success factors, analyzing the business environment, and developing its business strategy. This research used descriptive-qualitative techniques with Critical Success Factors (CSF) and SWOT approaches. GW restaurants had Critical Success Factors, namely clear concepts, strong customer relationships, cultural interests, managing a competitive environment, good customer relationships, and determining the right location/place. The business environment consisted of internal and external. The development of its business strategy is to improve the quality of employees, improve the quality of its products and innovations, favor specific menus, increase service time, and conduct advertising promotions and expand the network with social media. Keywords: business strategy, critical success factors, restaurant
SISTEM PENDUKUNG KEPUTUSAN BERBASIS JARINGAN SYARAF TIRUAN UNTUK PERAMALAN HARGA TANAMAN PANGAN Ferlando Jubelito Simanungkalit; Lilik Sutiarso; Didik Purwadi
Teknotan: Jurnal Industri Teknologi Pertanian Vol 7, No 3 (2013)
Publisher : Fakultas Teknologi Industri Pertanian

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

Abstract

Peramalan harga tanaman pangan perlu dirancang untuk memberikan stimulus kepada para pengambil keputusan terkait dengan kebijakan stabilisasi harga pangan, tendensi harga masa depan, dan jadwal tanam yang dapat memaksimumkan  laba.  Kajian dilakukan berdasarkan tingkat harga bulanan komoditas tanaman pangan  bulan  Januari 2000-Juli 2011 di Kabupaten Sleman, D.I. Yogyakarta. Metode penilaian Mean Square Error (MSE) dan Mean Absolute Percentage Error (MAPE) dengan toleransi validitas 15 persen digunakan untuk menentukan komoditas tanaman pangan dari 324 percobaan yang memiliki performansi terbaik. Dari 6 jenis komoditas tanaman pangan yang menjadi objek kajian, arsitektur JST yang paling baik diperoleh dari komoditas beras IR64 dengan arsitekur [12 – 32 – 1], nilai laju pembelajaran 1,75 dan kisaran transformasi data terletak pada [0 dan 1], dengan nilai MSE dan MAPE pelatihan, pengujian dan validasi berturut-turut adalah [0,00125 dan 2,807 %], [0,0219 dan 3,289 %], [0,0244 dan 3,575 %]. Kata kunci: sistem pendukung keputusan, jaringan syaraf tiruan, peramalan harga,                          tanaman pangan.
Kriteria Kualitatif Penentuan Produk Unggulan Komoditas Perkebunan dengan Metode Delphi di Kabupaten Kolaka-Sulawesi Tenggara Dhian Herdhiansyah; Lilik Sutiarso; Didik Purwadi; Taryono Taryono
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 (214.475 KB) | DOI: 10.22146/agritech.9568

Abstract

The determination of the main product of plantation commodity in kolaka has not been done. The purpose of this research were to composing an order of main product of plantation commodity in Kolaka. The object of this research were alternative 17 of plantation commodity. The determination of strategic indicators as the selection criteria of the main products were done by a panel of researchers that experts in different fields in plantation scope. In the effort to reach of the consensus, they were accordance with the Delphi Method. There are seven strategic indicators used as the criteria in determination of the main product of plantation commodity in Kolaka as followed: (1) based on the local resource potential, (2) enhancing to acces domestic and global market, (3) to produce high added value, (4) supported by technology and qualified human resources, (5) eco-friendly product by applying eco-friendly technology and have optimum agriculture waste as well as apply good waste management, (6) implement cooperation principle and business oriented, and (7) administratively and economically feasible for business development. The result of score calculation on the each indicator showed that the main product of plantation commodity were cacao on the first with score 4.6, clove and pepper on the second with score 4.3, and cashew, coconut, and coffee on the third with score 4.2.ABSTRAKPenentuan produk unggulan komoditas perkebunan di Kabupaten Kolaka selama ini belum dilakukan. Penelitian ini bertujuan untuk memunculkan suatu urutan produk unggulan komoditas perkebunan di Kabupaten Kolaka. Objek penelitian ini adalah 17 alternatif komoditas perkebunan. Penetapan indikator strategis sebagai kriteria pemilihan produk unggulan komoditas perkebunan dilakukan oleh sekelompok panel peneliti yang memiliki latar belakang kebidangan berbeda dalam lingkup perkebunan.  Dalam upaya mencapai konsensus, maka dilakukan dengan Metode Delphi. Ada tujuh indikator strategis digunakan sebagai kriteria penetapan produk unggulan komoditas perkebunan: (1) berbasis kepada potensi sumber daya lokal, (2) memiliki kesempatan yang tinggi untuk akses pada pasar domestik dan dunia, (3) menghasilkan nilai tambah yang tinggi, (4) didukung oleh teknologi dan sumber daya manusia yang handal, (5) ramah lingkungan, dengan menerapkan teknologi yang ramah dan bersih terhadap lingkungan,  pemanfaatan limbah pertanian yang optimal, serta menerapkan manajemen limbah yang baik, (6) melaksanakan prinsip-prinsip kerjasama dengan orientasi bisnis, dan (7) secara administratif dan ekonomi layak bagi pengembangan bisnis. Hasil perhitungan skor setiap indikator menunjukkan bahwa sebagai produk unggulan komoditas perkebunan adalah kakao di urutan pertama skor 4,6, cengkeh dan lada di urutan ke dua skor 4,3, jambu mete, kelapa,dan kopi di urutan ke tiga skor 4,2.
Sistem Pendukung Keputusan Berbasis Jaringan Saraf Tiruan untuk Peramalan Harga Komoditas Tanaman Pangan Ferlando Jubelito Simanungkalit; Lilik Sutiarso; Didik Purwadi
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 (817.618 KB) | DOI: 10.22146/agritech.9569

Abstract

Decision Support System Based on Artificial Neural Networks For Food Crop Commodities Price Forecasting was designed to provide a stimulus for decision makers concerning food price stabilization, future price trend and available planting schedule policies which enable to maximize the profit. The main purpose of this study is to make the design of Decision Support System (DSS) by firstly analyzing the architecture of Artificial Neural Networks (ANN) that appropriate to be used as forecasting method/model base of the DSS. The study was done by using the monthly prices of the food crop commodities in Sleman Regency, D.I. Yogyakarta province, from January 2000 to July 2011. The best architecture was selected based on the lowest value of Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) from system training, testing and validation result. Then, the best architecture was designed to be the model base of the DSS as well as the database, user interface and elements of knowledge by using the decision support system developing phases and programmed with delphi programming. From the 324 trials unit of the ANN architecture analysis for each commodity, it has been obtained that there was a best ANN architecture for each commodity and valid to be used as the forecasting method with 15% tolerance of MAPE. From 6 varieties of food crop as the object of study, the very best ANN architecture derived from rice IR64 with the architecture [12 – 32 – 1], learning rate 1,75 and the transformation range of the data [0 and 1], with consecutive value of MSE and MAPE in training, testing and validation process was [0,00125 and 2,807%], [0,0219 and 3,289%], [0,0244 and 3,575%]. Based on the validation result, the limit of the forecasting period that still valid to be done by the system was in the next 12 months. The result show that the performance of ANN architecture decrease in terms of price fluctuating sharply, due to the lack of some factors that force price fluctuation. Therefore the development of the ANN architecture was needed as the model base of the DSS in order to improve the ability of the system to provide the better decision support.AbstrakSistem pendukung keputusan berbasis jaringan saraf tiruan untuk peramalan harga tanaman pangan dirancang untuk membantu memberikan stimulus bagi para pengambil keputusan perihal kebijakan stabilisasi harga pangan, tren harga masa depan dan jadwal tanam yang memungkinkan untuk memaksimalisasi keuntungan. Tujuan penelitian ini adalah rancang bangun Sistem Pendukung Keputusan (SPK) dengan terlebih dahulu menganalisis arsitektur Jaringan Saraf Tiruan (JST) yang paling tepat untuk digunakan sebagai metode peramalan/subsistem model SPK. Kajian dilakukan dengan menggunakan tingkat harga bulanan komoditas tanaman pangan di Kabupaten Sleman, D.I. Yogyakarta bulan Januari 2000 – Juli 2011. Arsitektur JST terbaik dipilih berdasarkan pada nilai Mean Square Error (MSE) dan Mean Absolute Percentage Error (MAPE) yang paling kecil dari hasil pelatihan, pengujian dan validasi sistem. Arsitektur terbaik kemudian dirancang menjadi subsistem model SPK bersamaan dengan basis data, tampilan antarmuka dan komponen pengetahuan dengan menggunakan fase-fase perancangan sistem pendukung keputusan dan diprogram dengan bahasa pemrograman delphi. Dari 324 percobaan analisis arsitektur JST untuk masing-masing komoditas, diperoleh satu arsitektur JST dengan performa terbaik untuk masing-masing komoditas dan valid untuk digunakan sebagai metode peramalan dengan toleransi MAPE 15%. Dari 6 jenis komoditas tanaman pangan yang menjadi objek kajian, arsitektur JST yang paling baik diperoleh dari komoditas beras IR64 dengan arsitekur [12 – 32 – 1], nilai laju pembelajaran 1,75 dan kisaran transformasi data terletak pada [0 dan 1], dengan nilai MSE dan MAPE pelatihan, pengujian dan validasi berturut-turut adalah [0,00125 dan 2,807%], [0,0219 dan 3,289%], [0,0244 dan 3,575%]. Berdasarkan hasil validasi, batas jangka waktu peramalan maksimal yang valid untuk dilakukan oleh sistem adalah selama 12 bulan ke depan. Dari hasil penelitian diketahui bahwa arsitektur JST yang digunakan mengalami penurunan performa pada bagian pola harga yang berfluktuasi dengan tajam, hal ini disebabkan karena arsitektur JST yang digunakan tidak memperhitungkan faktor-faktor yang menyebabkan terjadinya fluktuasi harga, untuk itu perlu pengembangan arsitektur JST sebagai subsistem model SPK guna meningkatkan kemampuan sistem memberikan dukungan keputusan yang lebih baik.
Perbaikan Kinerja Supply Chain Perusahaan Keripik Singkong Berdasarkan Analisis Product Availability Parama Tirta Wulandari Wening Kusuma; Kuncoro Harto Widodo; Didik Purwadi
agriTECH Vol 30, No 2 (2010)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.687 KB) | DOI: 10.22146/agritech.9678

Abstract

Level of the product availability becomes a problem at the company, because of the fluctuation and the uncertainty of demand from the consumer and happened when the company determined the cycle service level which is the indica- tor of supply chain performance in fulfilling the availability of the product and avoiding either stock out or over stock in replenishment cycle. This research was conducted at UD As-Salam. The aim was to improve supply chain perfor- mance through determining the optimal cycle service level of product availability. Therefore, it was needed to set up the optimal level of product availability to optimize the profit. There were some steps that were taken in this research: determining the optimal cycle service level, optimal order size, expected profit, and sensitivity analysis between optimal cycle service level and expected profit. The result showed that the cost of under stocking and over stocking were 4,144 rupiahs and 6,573 rupiahs, respectively. The optimal cycle service level was 63 % with optimal order size was 2,842 kgs/month. This value improves the company’s profit in the amount of 11,043,570 rupiahs. The improvement of supply chain performance based on product availability analysis could increase profit up to 127,891 rupiahs.ABSTRAKLevel ketersediaan produk menjadi permasalahan pada objek penelitian ini karena adanya fluktuasi dan ketidak- pastian permintaan dari konsumen yang timbul ketika pelaku usaha telah menentukan cycle service level. Hal ini menjadi indikator kinerja supply chain dalam memenuhi ketersediaan produk dan menghindari kekurangan stok atau- pun kelebihan stok di siklus replenishment. Penelitian dilakukan di UD As-Salam, dan bertujuan untuk memperbaiki kinerja supply chain dari sisi product availability. Perlu ditetapkan optimal level of product availability agar mampu mengoptimalkan profit. Metode yang digunakan adalah dengan penentuan optimal cycle service level, optimal order size, expected profit, dan analisis sensitivitas terhadap optimal cycle service level dengan expected profit. Hasil peneli- tian menunjukan bahwa nilai cost of understocking adalah Rp 4.144,00 dan cost of overstocking adalah Rp 6.573,00. Nilai optimal cycle service level dapat dicapai pada level 63% dengan optimal order size 2.842 kg per bulan. Nilai ini mampu memberikan profit sebesar Rp 11.043.570,00. Peningkatan kinerja berdasarkan analisa product availability akan  memberikan peningkatan profit sebesar Rp 127.891,00 pada perusahaan.
Evaluation of Worker Discomfort on Manual Palletization Activities of Bottled Water Products Firstama Saka Adiatmaja; Guntarti Tatik Mulyati; Didik Purwadi
Agroindustrial Journal Vol 9, No 2 (2022)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v9i2.81465

Abstract

The risk of Musculoskeletal Disorders (MSDs) is one of the problems that often occurs in manual handling workers with heavy loads in repetitive work movements for a long time. One example of this movement is the manual palletization activity of Bottled Drinking Water products at PT XYZ. Initial observations showed that 18 workers felt limb discomfort while stacking cardboards of 18kg water bottles. This study aims to determine the Recommended Weight Limit (RWL) used to measure the lifting load limit for workers; Lifting Index (LI) measurement that can describe the level of safety of lifting loads.The results showed that the load limit in drinking water palletization activities exceeded RWL, while the results of the LI calculation showed that manual palletization activities of bottled drinking water had a score of 6.4 where the LI score according to the safety standards of lifting activities was 1. These results indicate that manual palletization activities are not safe for workers and are at risk of causing MSDs. This is evidenced by the results of the assessment of the level of work posture discomfort using NBM which shows the highest pain score in the lower back of the body. Furthermore, workload measurement results vary from heavy to very heavy. From all parameters measured, it can be seen that the manual palletization activity of Bottled Drinking Water products at PT XYZ is very poor. The recommendation that can be proposed is to change the work system of manual palletization activities to a mechanical or automatic system.