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All Journal Jurnal Teknologi Industri Pertanian Jurnal Teknik Industri Teknotan: Jurnal Industri Teknologi Pertanian Journal of Degraded and Mining Lands Management agriTECH Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Teknologi & Industri Hasil Pertanian Budimas : Jurnal Pengabdian Masyarakat Jurnal Litbang Kota Pekalongan Agroindustrial Journal Politeknosain Paradoks : Jurnal Ilmu Ekonomi Inovasi Jurnal Pengabdian Masyarakat (IJPM)

Didik Purwadi

Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada

Author-ID : 2471604

Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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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

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

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

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.

Analisa Kualitas Layanan pada Industri Jasa Boga Rina Inderayani; Wahyu Supartono; Didik Purwadi
agriTECH Vol 23, No 4 (2003)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The growth of income, knowledge, jobs, and work places supported the existence of the food service industry to fulfill the society's need To increase the consumer's satisfaction, it was needed to measure the service quality. The service quality was measured based on several variables: tangibles, responsiveness, reliability, assurance, and empathy, which ordered by SERVQUAL instruments. The research was conducted by using questionnaire which was spread out to the consumers. The research methodology was purposive random sampling. The data were analyzed by product moment correlation test and Alpha technique for reliability test. The assumption for the double regression model had to fulfill following criteria's: no multicolinearity no autocorrelation, and heteroscedasticity which could be ignored. The results showed, that consumer's acceptance level for service quality was high, which could be ranked as follow: reliability (highest), assurance, tangibles, responsiveness, and empathy (lowest). Double regression model for the quality service was : Y = 1.377 + 3.99x10-2X17.278x104X2â€“ 4.673x10-2X3 + 0.118X, + 2.381x10'2X3, which meant variable assurance (X4) gave the highest contribution to the consumer's satisfaction

Identifikasi Preferensi Konsumen terhadap Desain Kemasan dan Kandungan Nutrisi Tepung Terigu di Daerah Istimewa Yogyakarta Happy Suryaningsih; Didik Purwadi; Wahyu Supartomo
agriTECH Vol 22, No 2 (2002)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Consumer of wheat flour in Indonesia have at present more possibilities to choose the wheat flour because of more wheat flour products in market since governmental deregulation in October 1998. They choose the wheat flour based on their proposed final products and characteristics. Information's such nutritional facts, usage, expired date of wheat flour written in their packaging, but unfortunately those information does not depict the real condition. This can influence on the consumer preference. The research was conducted to identify the consumer's preferences on packaging design and nutritional fact in the wheat flour. Straified random sampling with the family welfare level based on BKKBN criteria was used in this research. Questionnaire was tested for validity and reliability by confidence level 95%, significance level 5 % and error sample 10 %. The result depicted that consumer index of packaging design for middle level 4.113 and 4.142 for high level respectively. The information of nutritional fact was ranked in second place for the second family welfare level. Based on the chi square test, the result depicted there were no differences among education level, age, sosial level and occupation to the consumer preferences on the nutritional facts. The result of t-paired test showed, there were significance differences on water and carbohydrate contents between the laboratory's determination and nutritional fact label. Meanwhile the ash and protein contents showed no differences.

Identification of Wheat Flour Segmentation Based on Household Consumer's Preferences Ivonny Erlandharosi; Wahyu Supartono; Didik Purwadi
agriTECH Vol 22, No 1 (2002)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The aim of this study research was to indentify wheat flour segmentation based on household consumer. Samples of this research were CK, KB and SB. The research method was "Stratified Random Sampling". Respondents for questionaire were chosen from consumers who were divided into three level based on welfare society of BKKBN Yogyakarta called higher, middle and lower consumer welfare. The three different level society had different decision to buy products for their need. The segmentation due to the consumer need was needed to homogenize their needs. The result of this research showed that there was an interantion between level of society's welfare and knowledge of wheat flour utilization. It mean that the highest class level knew more about wheat flour utilization. The processed product depended on chosen brand of wheat flour, but there was not an interaction between consumer society level and the chosen product brand of wheat flour. Consumer had difference knowlegde on utilization of CK and KB. For lower and middle class level, and middle and higher class level had similar decision of wheat flour utilization. For higher and lower class level, there was difference knowledge of utilization of wheat flour KB.

Environmental Ergonomic Analysis in MSMEs of ‘Karak’ using Working Environment Approach, HIRARC, and Kansei Engineering Adiatmaja, Firstama Saka; Ushada, Mirwan; Purwadi, Didik
agriTECH Vol 45, No 2 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.79984

The working environment in Micro, Small, and Medium Enterprises (MSMEs) is considered less than ideal based on the Indonesian Minister of Health Regulation Number 70 of 2016 concerning Standards and Requirements for Industrial Working Environment, in relation to temperature, lighting, noise intensity, and humidity. Therefore, an analysis is necessary to improve MSMEs’ ability to create an ideal working environment. This study aimed to analyze and improve working environment ergonomics by focusing on the physical working environment, workers preferences and sensitivities, as well as work environment risks associated with various factors. The case study examined MSMEs in Klaten Regency, Central Java. The methods used included working environment observation, HIRARC (Hazard Identification, Risk Assessment, and Risk Control), Kansei engineering, and multiple linear regression (MLR). Specifically, HIRARC was used to assess risks, Kansei engineering to identify workers preferences and sensitivities, and MLR to determine correlations between variables. One of the risky working conditions was observed at the smoking and frying workstation, where the temperature reached 32.81˚C, exceeding the reference value of 31˚C. Lighting levels were recorded at 101.09 lux, below the recommended 200-500 lux. Noise levels measured 68.38 dB, within the acceptable limit of 85 dB, while humidity was 52.63% compared to the reference value of 51.36% ± 5.72%. HIRARC assessment classified the risk level at the smoking and frying workstation as medium to extreme. Furthermore, Kansei engineering identified key perception variables, namely dark vs. light, dirty vs. clean, unpleasant vs. pleasant, stuffy vs. cool, and hot vs. cold. The results showed working environment parameters significantly correlated with HIRARC and Kansei engineering variables, which consequently correlated with HIRARC.

Development Strategy of Red Seaweed Industry (Rhodophyta) in the Poleang Minapolitan Cluster Bombana Regency Pratama, Rahmat Tata; Purwadi, Didik; Widodo, Kuncoro Harto
agriTECH Vol 45, No 3 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.94052

Indonesia is the world’s largest producer of red seaweed, but its utilization as a source of economic growth is still not optimal, as evidenced by the large amount of exports in raw form, insufficient land utilization, and harvest yields that do not meet standards. This study aims to formulate development strategies for the red seaweed industry in the Poleang sub-district of Bombana Regency through the identification of internal and external conditions. Data was collected through observation, interviews, and questionnaires. The analysis used includes descriptive, financial, and SWOT analysis. The results of the study show that the red seaweed industry in Poleang still faces various challenges, such as red seaweed production that does not meet standards, unstable production volumes, seaweed processing plants operating below full capacity, low educational levels among farmers, limited market access and capital resources for farmers, the absence of structured farmer groups, the suboptimal role of financial institutions, climate and weather changes, pests and diseases, and highly volatile seaweed prices. However, there are also significant development opportunities, such as the availability of extensive cultivation areas conducive to seaweed growth, a sufficient labor force, experienced farmers, relatively easy seaweed marketing, simple cultivation techniques, the availability of tissue culture technology and processing industries, profitable cultivation efforts with an RC ratio of 1.94, and the significant potential of the red seaweed market and its processed products both domestically and internationally. Strategies that can be implemented for the development of the red seaweed industry in the Poleang Sub-district cluster of Bombana Regency include optimizing seaweed production through resource optimization, improving productivity and production quality, enhancing the role and functions of institutions, increasing human resource capacity, promoting the use of high-quality seeds, and establishing and strengthening partnership and marketing patterns for seaweed.

Co-Authors Adiatmaja, Firstama Saka Ahmad, Gofur Dhian Herdhiansyah Djagal Wiseso Marseno Edouard Aryadi Supriyadi Endang Sutriswati Rahayu Ferlando Jubelito Simanungkalit Ferlando Jubelito Simanungkalit Firstama Saka Adiatmaja Guntarti Tatik Mulyati Happy Suryaningsih Hapsari, Umi Haryoto, Cecep Yoto Henry Yuliando Ida Gunawati, Amalia Ivonny Erlandharosi Joko Nugroho, Kurniawan Kartika Dewi, Mutiara Kuncoro Harto Widodo Lilik Sutiarso Lilik Sutiarso Mirwan Ushada Nafis Khuriyati Nihayah, Badiatun Parama Tirta Wulandari Wening Kusuma Pradita, Sintia Putri Pratama, Rahmat Tata Radi Radi Retnoningrum Rina Inderayani Sudarno Sudarno T Taryono, T Taman Ginting, Taman Taryono, Taryono Thalia Naziha Wahyu Supartomo Wahyu Supartono Wawan Saputra Widayanti, Windy Kartika Putri Yustina, Ita

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