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agriTECH
Published by Universitas Gadjah Mada
ISSN : 02160455     EISSN : 25273825     DOI : 10.22146/agritech
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Agritech with registered number ISSN 0216-0455 (print) and ISSN 2527-3825 (online) is a scientific journal that publishes the results of research in the field of food and agricultural product technology, agricultural and bio-system engineering, and agroindustrial technology. This journal is published by Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta in colaboration with Indonesian Association of Food Technologies (PATPI).
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 15 Documents
 1   2 
Search results for , issue "Vol 35, No 2 (2015)" : 15 Documents clear
Studi Komparasi Prediksi Curah Hujan Metode Fast Fourier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) dan Artificial Neural Network (ANN) Dyah Susilokarti; Sigit Supadmo Arif; Sahid Susanto; Lilik Sutiarso
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.795 KB) | DOI: 10.22146/agritech.9412

Abstract

Optimum climate condition and water availability are essential to support strategic venue and time for plants to grow and produce.  Precipitation prediction is needed to determine how much precipitation will provide water for plants on each stage of growth. Nowadays, the high variability of precipitation calls for a prediction model that will accurately foresee the precipitation condition in the future. The prediction conducted is based on time-series data analysis. The research aims to comparethe effectiveness of three precipitation prediction methods, which are Fast Forier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN). Their respective performances are determined by their Mean Square Error (MSE) values. Methods with highest correlation values and lowest MSE shows the best performance. The MSE result for FFT is 14,92; ARIMA is 17,49; and  ANN is 0,07. This research concluded that Artificial Neural Network (ANN) method showed best performance compare to the other two because it had produced a prediction with the lowest MSE value.ABSTRAKKondisi iklim dan ketersediaan air yang optimal bagi pertumbuhan dan perkembangan tanaman sangat diperlukan dalam upaya mendukung strategi budidaya tanaman sesuai ruang dan waktu. Prediksi curah hujan sangat diperlukan untuk untuk mengetahui sejauh mana curah hujan dapat memenuhi kebutuhan air pada setiap tahap pertumbuhan tanaman. Variabilitas curah hujan yang tinggi saat ini, membutuhkan pemodelan yang dapat memprediksi secara akurat bagaimana kondisi curah hujan dimasa yang akan datang. Prediksi yang dilakukan adalah prediksi berdasarkan urutan waktu (time-series).  Tujuan dari penelitian ini adalah untuk membandingkan akurasi prediksi curah hujan antara metode Fast Farier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) dan Artificial Neural Network (ANN). Kinerja ketiga metode yang digunakan dilihat dari nilai Mean Square Error (MSE). Metode dengan nilai korelasi tertinggi dan nilai MSE terkecil menunjukkan kinerja terbaik. Hasil penelitan untuk FFT diperoleh nilai MSE = 14,92, ARIMA = 17,49 sedangkan ANN = 0,07. Ini menunjukkan bahwa metode Artificial Neural Network (ANN) menunjukkan kinerja yang paling baik diantara dua metode lainnya karena menghasilkan prediksi yang mempunyai nilai MSE terkecil.
Ekstraksi Maserasi Oleoresin Daun Jeruk Purut (Citrus hystrix DC): Optimasi Rendemen dan Pengujian Karakteristik Mutu Kawiji Kawiji; Lia Umi Khasanah; Rohula Utami; Novita Try Aryani
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.254 KB) | DOI: 10.22146/agritech.13761

Abstract

This research was aimed to find out the optimum yield condition on kaffir lime leaves oleoresin production at various temperature and contact time during maceration extraction and to find out the characteristics of kaffir lime leaves oleoresin such as citronella content, kaffir lime leaves oil content, and solvent residue levels at optimum yield. This research used the variations of extraction temperature (70, 75 and 80°C) and extraction time (4, 5 and 6 hours). Based on Response Surface Methodology (RSM), the equation of kaffir lime leaves oleoresin sample optimization as follow Y = 7,9333 + 1,2333X  + 0,5333X  - 1,0000X 2 - 0,7000X 2 + 0,1250X X . The optimum yield of kaffir lime leaves oleoresin (8,447%) was obtained at 78,221°C extraction temperature and 5,438 hour extraction time. The characteristics of kaffir lime leaves oleoresin quality at the optimum yield such as 25,66% citronella level, 9,638% kaffir lime leaves oil content and 5,8% solvent residue level.ABSTRAKPenelitian ini bertujuan untuk mengetahui kondisi rendemen optimum dalam proses produksi oleoresin daun jeruk purut pada variasi suhu dan waktu kontak selama proses ekstraksi maserasi dan mengetahui karakteristik mutu oleoresin daun jeruk purut yang meliputi kadar sitronelal, kadar minyak atsiri dan kadar sisa pelarut pada rendemen yang optimum. Penelitian ini menggunakan variasi suhu ekstraksi (70, 75 dan 80°C) dan waktu ekstraksi (4, 5 dan 6 jam). Pada pengolahan data dengan menggunakan (RSM) diketahui persamaan optimasi rendemen oleoresin daun jeruk purut yaitu Y = 7,9333 + 1,2333X 1+ 0,5333X 2- 1,0000X 1² - 0,7000X1² + 0,1250X. Rendemen optimum oleoresin daun jeruk purut diperoleh sebesar 8,447%, didapatkan pada kondisi suhu ekstraksi 78,221°C dan waktu ekstraksi 5,438 jam. Karakteristik mutu oleoresin daun jeruk purut pada rendemen optimum yaitu kadar sitronelal 25,66%, kadar minyak atsiri 9,638% dan kadar sisa pelarut 5,8%.
Produksi Biodiesel dari Transesterifikasi Minyak Jelantah dengan Bantuan Gelombang Mikro: Pengaruh Intensitas Daya dan Waktu Reaksi terhadap Rendemen dan Karakteristik Biodiesel Agus Haryanto; Ully Silviana; Sugeng Triyono; Sigit Prabawa
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.881 KB) | DOI: 10.22146/agritech.13792

Abstract

The purpose of this research was to study the effect of power intensity and reaction time on the yield and the characteristic using an erlenmeyer glass heated in a microwave oven with power capacity of 399 watt and frequency of 2,450 arrangements was used in this experiment. Treatment consisted of two factors, namely power intensity and reaction time. The power intensity included three levels (30, 50, and 70%). Similarly did for the reaction time (30, 60, and 120 cooking oil to methanol). Parameters to be analyzed included biodiesel yield, acid number, density, and viscosity of = 1%. The results showed that both microwave power intensity and reaction time and their interaction had no effect on the viscosity, acid number and density of produced biodiesel. Biodiesel produced has acid number of 2.98 to 4.20 mgKOH/g, density of 0.87 to 0.88 g/mL, and viscosity of 1.9 to 2 cSt. Microwave power intensity and reaction time andtime of 30 seconds was adequate for microwave-assisted biodiesel synthesis with an average yield reaching 91.1%.ABSTRAKTujuan penelitian ini adalah mempelajari pengaruh intensitas daya dan waktu reaksi terhadap rendemen dan karakteristik biodisel dari minyak jelantah yang dihasilkan melalui reaksi transesterifikasi yang dibantu dengan pemberian gelombang mikro (microwave). Minyak jelantah diperoleh dari pabrik kerupuk yang berlokasi di Sukarame, Bandar Lampung. Reaksi pembuatan biodiesel dilakukan menggunakan gelas erlenmeyer yang dipanaskan di dalam oven microwave berdaya 399 watt dan frekuensi 2.450 MHz yang telah dilengkapi dengan pengaduk listrik berkecepatan 1446 RPM. Penelitian menggunakan rancangan acak faktorial dengan dua faktor. Kedua faktor adalah intensitas daya gelombang mikro dengan tiga taraf [(30, 50, dan 70%) dan waktu reaksi, juga dengan tiga taraf (30, 60, dan 120 detik). Setiap kombinasi perlakuan dilakukan dengan tiga kali ulagan. Reaksi transesterifikasi dilakukan dengan 100ml minyak jelantah pada perbandingan molar minyak jelantah terhadap metanol 1:6. Parameter yang dianalisis meliputi rendemen, bilangan asam, massa jenis, dan viskositas biodiesel. Data dianalisis menggunakan ANOVA diikuti uji beda nyata terkecil (BNT) pada tingkat signifikansi = 5% dan = 1%. Hasil penelitian menunjukkan bahwa intensitas daya gelombang mikro dan waktu reaksi tidak berpengaruh terhadap bilangan asam, viskositas, dan massa jenis biodiesel. Biodiesel yang dihasilkan memiliki bilangan asam 2,98–4,20 mgKOH/g, massa jenis 0,87–0,88 g/mL, dan viskositas 1,9–2,0 cSt. Intensitas daya gelombang mikro dan waktu reaksi serta interaksinya berpengaruh nyata pada rendemen biodiesel. Dalam penelitian ini, tanpa memperhatikan intensitas daya gelombang mikro, waktu reaksi terbaik adalah 30 detik saat rendemen biodiesel rata-rata mencapai 91,1%.
Pengembangan Tortila Berkalsium Sebagai Alternatif Pangan Diet Casein Free-Gluten Free pada Industri Kecil dengan Metode Value Engineering Jeremy Yonathan Sadikin; Agustinus Suryandono; Jumeri Jumeri
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.58 KB) | DOI: 10.22146/agritech.13830

Abstract

The number of people with autism increased 56% in 1998 – 2013, and it was a global problem. People with autism need special treatments and CFGF diet (casein free, gluten free) was one of those treatments. That’s why, the development The calcium content was expected to substitute the calcium from dairy consumption, which shouldn’t be consumed by people with autism. The method used in this product development was value engineering which separated in three steps: information, creativity, and analysis steps. Respectively, this research was also further completed with chemical The goal of this research was to design some product implemented in small scale industry. Respondends and panelist in this research were consisted of students and teachers. They acted as the market of the product, especially as a  part of general society. This product were designed to provide CFGF snack for people with autism, and those who need CFGF diet. But this product was not limited to that market, it can be consumed by general society not only for people with autism, hence the students and teachers were used. The research showed that the best concept was a product produced with to get 200 grams of dough. This product concept was also designed to be packed in big size gusset packaging materials and the chips was triangle-shaped with size of feasible to be produced in small scale industry.ABSTRAKDengan jumlah penyandang autis yang terus meningkat, misalnya peningkatan sebesar 56% pada 1998 – 2013, maka produk tortila berkalsium potensial dikembangkan sebagai alternatif pangan untuk diet CFGF (casein free, gluten free) dan kandungan kalsiumnya bisa membantu menggantikan kalsium dari susu sapi yang mengandung kasein. Tujuan penelitian adalah merancang sejumlah konsep produk tortila berkalsium dan memilih satu konsep yang paling disukai Metode penelitian adalah yang terdiri dari tiga tahap: informasi, kreativitas dan analisa. Penelitian juga dilengkapi analisa lanjutan: analisa kimia guru, selaku masyarakat umum yang bisa mengonsumsi produk. Produk ini memang diawali dari adanya kebutuhan diet CFGF, namun konsumsi produk tetap bisa untuk umum sehingga produk bisa dikonsumsi semua kalangan, tidak terbatas hanya untuk penyandang autis yang perlu diet CFGF. Konsep terbaik yang diperoleh adalah tortila dengan komposisi bahan berupa rasio tepung jagung : tapioka sebesar 50:50 dan 3 g garam serta 7 g tepung tulang rawan ayampedaging, per 200 g adonan keripik. Konsep ini didesain dengan kemasan gusset ukuran besar, serta bentuk kepingan.
Pendugaan Umur Simpan Jagung Manis Berdasarkan Kandungan Total Padatan Terlarut dengan Model Arrhenius Rita Khatir; Ratna Ratna; Mega Apriesti Puri
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.682 KB) | DOI: 10.22146/agritech.13831

Abstract

Sweet corn has short shelf life at room temperature storage in the tropical countries (28-33°C). The quality deterioration of sweet corn can be determined by the decrease of its sugar content. The study aimed to estimate the shelf life of sweet corn based on the reduction of its total soluble solid (TSS) by using Arrhenius model. The samples were prepared from fresh harvested corn stored for 10 days at 3 different temperatures of 5, 15 and 28 °C. Total soluble solid (TSS) were analyzed every day by using abbe refractrometer. Organoleptic analysis was used by using hedonic scales from 1 to 7. The analysis was conducted until respondents had graded the samples at score 5 (dislike slightly), 6 (dislike) and approaches can be used to calculate the shelf life of sweet corn. The acceleration factor for the TSS degradation at null approach, it was estimated that if the sweet corn were stored at temperature of 30, 25, 20, 15, 10 and 5°C, the shelf temperatures, the shelf life of sweet corn would be 3.7, 4.5, 5.6, 6.8, 8.4, and 10.3 days. In conclusion, the shelf life predictions of sweet corn were valid well with the experimental results.ABSTRAKUmur simpan jagung manis relatif singkat apalagi kalau disimpan pada suhu ruang di negara-negara tropis (28-32°C). Kerusakan jagung manis dapat diindikasikan dengan penurunan kandungan gulanya. Penelitian ini bertujuan untuk menduga umur simpan jagung manis berdasarkan reaksi penurunan kandungan total padatan terlarutnya (TPT) dengan pendekatan model Arrhenius. Jagung manis segar yang baru siap panen segera disimpan selama 10 hari pada 3 kombinasi suhu yaitu 5, 15 dan 28°C. Setiap hari dilakukan analisis kandungan TPT dengan . Uji organoleptik dilakukan dengan skala hedonik 1-7. Proses pengamatan dihentikan apabila responden telah memberikan nilai 5 (agak tidak suka), 6 (tidak suka) dan 7 (sangat tidak suka). Pendekatan model Arrhenius dilakukan dengan dua persamaan yaitu persamaan orde 0 dan orde 1. Hasil analisis menunjukkan bahwa kedua persamaan tersebut dapat dipergunakan untuk menduga umur simpan jagung. Nilai faktor percepatan reaksi penurunan mutu (Q) untuk persamaan orde 0 adalah 1,49, sedangkan nilai Q10 untuk persamaan orde 1 adalah 1,51. Dengan menggunakan pendekatan orde 0, penyimpanan jagung manis pada suhu 30, 25, 20,15, 10 dan 5°C akan berpengaruh kepada umur simpan jagung manis menjadi 3,7, 4,5, 5,5, 6,7, 8,2, dan 10 hari. Sedangkan dengan pendekatan orde 1, penyimpanan jagung manis pada suhu yang sama akan berpengaruh kepada umur simpan jagung manis menjadi 3,7, 4,5, 5,6, 6,8, 8,4, dan 10,3 hari. Dapat ditarik kesimpulan bahwa hasil dugaan tersebut sangat valid dengan hasil observasi.

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