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All Journal ECSOFiM (Economic and Social of Fisheries and Marine Journal) agriTECH Agroindustrial Technology Journal Agroindustrial Journal

Endy Suwondo

Agro–Industrial Technology Department, Faculty Of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281

Author-ID : 2872108

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences

Published : 7 Documents Claim Missing Document

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Articles

Dynamic Modeling of the Drying Process of Corn Grains using Neural Networks Galih Kusuma Aji; Wildan Fajar Bachtiar; Henry Yuliando; Endy Suwondo
agriTECH Vol 39, No 3 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

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.

Value Chain Analysis on Pigmented Rice: A Case Study in Sleman Regency, Special Region of Yogyakarta, Indonesia Kilana Putri Anindita; Dyah Ismoyowati; Endy Suwondo
agriTECH Vol 39, No 4 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

White rice has become the main source of carbohydrates, but in the last few years, red and black rice are getting more popular. Red and black rice can be an alternative food for people who wish to reduce the risk of diabetics due to its low glycemic index. Pigmented rice demand in Yogyakarta is continuously increasing. However, farmers are reluctant to plant pigmented rice because of their lower yields. Value chain analysis on pigmented rice is performed to provide the condition of the business’ performance for farmers who are not willing to work on pigmented rice yet. The objective of this study was to identify the main activities and to measure the performance of the value chain. The value chain performance was measured by calculating profit, marketing margin, and farmer’s share. In the business of pigmented rice nowadays, there are 5 actors involved, i.e. farmer, farmers group, association of farmers groups, distributor, and retailer. These five actors formed 5 value chains for red rice and 4 value chains for black rice. The main activities were cultivating, cropping, milling, sorting out, packing, and selling. The performance of the pigmented rice was as follows: on the red rice value chain, farmers earned the highest profit in each chain, except on the chain where the association of farmers groups was involved. The largest marketing margin was found on the farmer – association of farmer groups – retailer – end-user consumer chain. On the black rice value chain, farmers earned the highest profit in each chain, except on the chain where the farmers group was involved. The largest marketing margin found on the farmer – farmers group – distributor – retailer – end-user consumer chain. For both the red and the black rice value chain, the farmer’s highest share was obtained on the farmers – distributor – end-user consumer chain.

Trend Analysis of Red Chili Price-Formation Models Siti Mir'atul Khasanah; Mochammad Maksum; Endy Suwondo
agriTECH Vol 40, No 1 (2020)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Red chili’s characteristic flavor has been a popular element in Indonesian cuisine. A large and continuous demand for red chili is inconsistent with production volumes, causing frequent and extreme price fluctuations throughout the year. This study explores the changing trends in red chili prices to identify the influencing factors. The study was conducted in the Sleman district of Yogyakarta, Indonesia. Time-series datasets of monthly production rates and prices of chili for 3 years were subject to multiple linear regression analysis. The study found a rising trend in prices in the Sleman Regency from January 2014 to December 2016. The factors significantly influencing the red chili prices was the price of cayenne pepper. The production cost of chili, the price of tomatoes, and the price of chili for the previous 2 months had only partial and nonsignificant effects. The timing of great Muslim celebrations, such as Eid Al-Fitr and Eid Al-Adha had no significant effect on the price of red chili. However, Christmas and New Year events were associated with higher prices.

Perancangan Sistem Pendukung Keputusan Pemilihan Lokasi Agroindustri: Studi Industri Tahu di Daerah Istimewa Yogyakarta Suhendra Suhendra; Endy Suwondo; Dyah Ismoyowati; Masayuki Matsuoka
agriTECH Vol 42, No 1 (2022)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Pengembangan Sistem Pendukung Keputusan (SPK) pada studi kelayakan pemilihan lokasi agroindustri dengan analisis finansial dan lingkungan belum banyak dilakukan, khususnya untuk kelayakan industri sekala kecil menengah di area permukiman. Penelitian ini bertujuan membuat rancang bangun sistem pendukung keputusan (SPK) pemilihan lokasi agroindustri dengan kombinasi analisis finansial dan spasial lingkungan. Studi dilakukan untuk penetapan lokasi industri tahu di Daerah Istimewa Yogyakarta (DIY). Penelitian dilakukan melalui tahapan perancangan context diagram, hierarchical input process output (HIPO), dan data flow diagram. Sistem dirancang dengan 2 desain antarmuka: untuk user (interface front end) dan antarmuka oleh admin (interface back end). Hasil penelitian adalah prototype aplikasi pendukung keputusan berbasis website bernama IFSS (Industrial Feasibility Support System) dengan alamat domain http://ifssugmku.com/. Pemilihan lokasi industri dengan kriteria finansial dan lingkungan dilakukan untuk menentukan lokasi yang paling sesuai bagi pendirian industri. Uji coba sistem menunjukkan Kabupaten Gunungkidul merupakan lokasi dengan hasil kelayakan finansial tertinggi dengan nilai NPV (Rp) 879.520.243, sementara Kabupaten Bantul dan Kulon Progo merupakan daerah dengan sebaran lokasi terpilih tertinggi dari analisis lingkungan menggunakan teknik overlay. Verifikasi dilakukan dengan membandingkan hasil perhitungan manual dengan hasil perhitungan aplikasi, serta membandingkan sebaran lokasi keberadaan 14 sampel industri tahu di DIY dengan hasil pemilihan lokasi secara spasial pada ArcGIS Pro. IFSS adalah aplikasi untuk membantu memberikan petimbangan pemilihan lokasi industri secara finansial dan lingkungan.

Designing of Closed-Loop Supply Chain on Dry Land-Based Catfish Aquabusiness in Gunungkidul: A System Dynamics Approach Adhita Sri Prabakusuma; Ita Apriani; Budi Wardono; Endy Suwondo; Kuncoro Harto Widodo; Hadi Yahya Saleh Mareeh
ECSOFiM (Economic and Social of Fisheries and Marine Journal) Vol 7, No 2 (2020): ECSOFiM April 2020
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ecsofim.2020.007.02.07

Dry land-based catfish fishery is one of the promising rural aquabusiness in Gunungkidul, Yogyakarta. There are several problems in this business, for example, supply-demand balancing, calculation accuracy of production capacity, and equitable profit distribution to each stakeholder. This research aimed to design a closed-loop supply chain of dry-land catfish industrial-fishery model by employing the system dynamics approach. Powesim Studio 7 coupled MINITAB 14 was applied to measure the robustness of the supply chain management system, to predict optimum production capacity, and to balance profit distribution. A financial analysis was also performed to determine business feasibility. Three scenarios of price were created by considering the predicted trend of catfish consumption and formulated three alternative prices by appraising the juvenile fish production, aquaculture practices, local feedstock manufactured by farmers, and fish-by products distributed by small-enterprises. Those consideration units were constructed of four observed models. The highest profit to stakeholder was obtained by scenario III that was directed to increase the juvenile fish price to Rp 240/fish, consumption-sized fish at the price of Rp 18,000/kg, fish-by product at the price of Rp 150,000/kg, and local feed at the price of Rp 9,000/kg. According to financial analysis, the four subsystems in dry land-based catfish aquabusiness were all feasible by BCR>1; PP was 5-9 years, NPV>0, PI>1, and IRR>15%/year. The implementation of the system required synergetic action among policymakers, farmer cooperative, and local innovation centers.

Analisis Tingkat Kepuasan Wisatawan Terhadap Sarana Wisata Untuk Perancangan Strategi Pemasaran Pantai Kuwaru Kabupaten Bantul D.I Yogyakarta Tian Nur Ma’rifat; Endy Suwondo; Novita Erma Kristanti
Agroindustrial Technology Journal Vol 2, No 1 (2018): Agroindustrial Technology
Publisher : Universitas Darussalam Gontor

Pantai Kuwaru merupakan salah satu obyek wisata pantai di Kabupaten Bantul. Pantai Kuwaru memiliki potensi untuk menjadi obyek wisata unggulan Kabupaten Bantul dikarenakan panorama pantai yang masih alami dan adanya wisata penunjang pantai seperti kuliner. Dalam rangka pengembangan obyek wisata pantai Kuwaru, diperlukan strategi pemasaran yang didasarkan pada kepuasan yang telah dicapai oleh pengunjung. Alat yang digunakan dalam penelitian ini adalah kuisioner yang disebar ke 100 orang responden wisatawan dengan tingkat kepercayaan 95%. Analisis kepuasan wisatawan dilakukan dengan menggunakan metode Importance-Performance Analysis (IPA). Metode Customer Satisfaction Index (CSI) digunakan untuk mengetahui tingkat kepuasan wisatawan secara keseluruhan. Sarana wisata Pantai Kuwaru dikelompokkan berdasarkan bauran pemasaran jasa yang meliputi product, price, place, promotion, people, process dan physical evidence, selanjutnya nilai rata-rata untuk setiap atribut sarana wisata diplotkan ke dalam grafik IPA yang terdiri dari empat kuadran prioritas berdasarkan tingkat kepentingan dan kinerja. Dari hasil analisis, diperoleh 5 atribut yang memiliki prioritas utama untuk meningkatkan kepuasan wisatawan Pantai Kuwaru, antara lain: kebersihan area pantai, kebersihan sarana penunjang wisata pantai, kondisi jalan menuju pantai, kondisi rumah makan yang meliputi kelayakan bangunan dan kebersihan rumah makan serta tersedianya sarana pembuangan sampah di sekitar pantai. Nilai CSI sebesar 72,74 % menunjukkan secara umum wisatawan merasa puas dengan atribut sarana wisata yang ada di Pantai Kuwaru.

Measurement of the Performance of the Sugar Cane Grinding Machine at the XYZ Sugar Factory Elok Pawening Maharani; Endy Suwondo; Darmawan Ari Nugroho
Agroindustrial Journal Vol 7, No 2 (2020)
Publisher : APTA and DTIP FTP UGM

XYZ Sugar Factory is a sugar factory which has problems related to the effectiveness of the machines at the sugar cane milling station. This can be seen in the condition of machines that are outdated and in 2013 the level of machine downtime at milling stations tended to increase and exceeded the standard percentage set by the company for the last 3 months. Measurement of machine performance at this milling station uses the Overall Equipment Effectiveness (OEE) method, which is then carried out by measuring six big losses to determine the amount of efficiency lost. From the six factors, it can be identified which factor of losses has the biggest contribution in influencing the level of machine effectiveness by using the Pareto diagram. The data used were data from 12 May - 10 November 2014. During that period, the availability value was 94.72%, the performance value was 90.31%, and the quality was 96.78%, so that the OEE value was 82.95%, which means has not met the best practice OEE value, which is at least 85%. The main factors that affect the effectiveness of the machine are idling and minor stoppages losses, namely the machine is idle due to the time waiting for the sugarcane to enter and the problem of machines outside the milling station.

Co-Authors Adhita Sri Prabakusuma Budi Wardono Dyah Ismoyowati Elok Pawening Maharani Galih Kusuma Aji Hadi Yahya Saleh Mareeh Henry Yuliando Ita Apriani Kilana Putri Anindita Kuncoro Harto Widodo Masayuki Matsuoka Mochammad Maksum Novita Erma Kristanti Nugroho, Darmawan Ari Siti Mir'atul Khasanah Suhendra Suhendra Tian Nur Ma’rifat Wildan Fajar Bachtiar

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