Atris Suyantohadi
Universitas Gadjah Mada

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Pendugaan Kelas Mutu Berdasarkan Analisa Warna Dan Bentuk Biji Pala (Myristica fragrans houtt) Menggunakan Teknologi Pengolahan Citra Dan Jaringan Saraf Tiruan Dinar, Latifa; Suyantohadi, Atris; Fallah, M. Affan Fajar
Jurnal Keteknikan Pertanian Vol 26, No 1 (2012): Jurnal Keteknikan Pertanian
Publisher : PERTETA

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Abstract

Abstract Factors affecting the quality of a product is one of them is the color and shape. Color and shape factor was used as a parameter the most attention in the selection of a product. Farmer level, the separation between the seed heads intact and damaged seeds have not done this led to lower prices nutmeg. Separation based on a whole seed and grain merchants and level damage done is done by direct observation. This separation process requires large amounts of labor, the cost is relatively large and long enough. Development of separation methods based on the nutmeg seed quality classes can be done with image processing technology in combination with artificial neural networks. The use of color and shape parameter in the selection of quality seeds in non-destructive nutmeg is needed to address the separation of nutmeg manually. This study aims to identify the quality of nutmeg by color and shape by digital image processing technology in combination with artificial neural networks. Color parameters of the model used consists of a color Red Green Blue, Hue Saturation Value color model, color model Lαb shape parameter consists of area, perimeter, roundness, compactness. Discriminant analysis based on parameters derived mean color saturation and a significant area as the network input. The results showed the mean saturation parameter and the area identified quality class ABCD head, and BWP Rimpel with 100% accuracy.Key words: nutmeg, quality, color, shape, discriminant analysis, neural networksAbstrak Faktor yang mempengaruhi kualitas sebuah produk salah satunya adalah warna dan bentuk. Faktor warna dan bentuk digunakan sebagai salah satu parameter yang paling diperhatikan dalam pemilihan sebuah produk. Ditingkat petani pala proses pemisahan antara biji utuh dan biji rusak belum dilakukan hal ini menyebabkan harga biji pala menjadi rendah. Pemisahan berdasarkan biji utuh dan biji rusak dilakukan ditingkat pedagang dan dilakukan dengan pengamatan langsung. Proses pemisahan ini membutuhkan tenaga kerja dalam jumlah banyak, biaya relatif besar dan waktu yang cukup lama. Pengembangan metode pemisahan biji pala berdasarkan kelas mutu dapat dilakukan dengan teknologi pengolahan citra yang dikombinasi dengan jaringan saraf tiruan. Penggunaan parameter warna dan bentuk dalam pemilihan mutu biji pala secara non-destruktif sangat dibutuhkan untuk mengatasi permasalahan pemisahan biji pala secara manual. Penelitian ini bertujuan untuk mengidentifikasi mutu pala  berdasarkan warna dan bentuk dengan teknologi pengolahan citra digital yang dikombinasi dengan jaringan saraf tiruan. Parameter warna yang digunakan terdiri dari model warna Red Green Blue, model warna Hue Saturation Value, model warna Lab parameter bentuk terdiri dari area, perimeter, roundness dan compactness. Berdasarkan analisis diskriminan diperoleh parameter warna mean saturation dan area yang signifikan sebagai input jaringan. Hasil penelitian menunjukan parameter mean saturation dan area berhasil mengidentifikasi kelas mutu pala ABCD, Rimpel dan BWP dengan akurasi 100%.Kata kunci : Biji pala, mutu, warna, bentuk, analisis diskriminan , jaringan saraf tiruanDiterima: 03 Januari 2012; Disetujui: 29 Maret 2012 
KAJIAN STANDAR NASIONAL INDONESIA BIJI PALA Dinar, Latifa; Suyantohadi, Atris; Fajar F, M. Affan
JURNAL STANDARDISASI Vol 15, No 2 (2013)
Publisher : Badan Standardisasi Nasional

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Abstract

Penerapan SNI merupakan jaminan kesesuaian produk dengan spesifikasi yang telah ditetapkan. Maluku utara adalah daerah penghasil pala terbesar di Indonesia, tapi untuk menerapkan SNI biji pala yang ada saat ini yaitu SNI -0006-1993 perlu disesuaikan dengan kondisi saat ini dan perkembangan standar mutu yang diterapkan pasar dalam negeri maupun luar negeri. SNI tersebut perlu dikaji dengan membandingkan standar yang ada dipasar karena biji pala sebagian besar diekspor ke pasar luar negeri. Analisis dilakukan terhadap persyaratan mutu. Hasil kajian ini dapat disimpulkan bahwa tingginya keragaman varietas biji pala yang ada di Maluku Utara menyebabkan penerapan mutu SNI terutama untuk mutu CN sulit terpenuhi. Standar pasar yang ada saat ini lebih banyak digunakan sebagai acuan dalam menentukan kelas mutu dan harga biji pala ditingkat petani dan pedagang. Berdasarkan hasil pengujian berat biji pala untuk kualitas mutu 1 ABCD 5 gram – 8,33 gram, kualitas mutu 2 RIMPEL (Shrivel) beratnya 4,11 gram- 4,99 gram, biji pala dengan berat ≤ 4,11 masuk kedalam kualitas mutu 3 BWP. Kadar air biji pala yang beredar dipasar sudah memenuhi syarat SNI 01-0006-1993, dari hasil pengujian kadar air pada 3 kualitas mutu diperoleh kadar air 10,54% untuk mutu 1 (ABCD), 8,64% untuk mutu 2 (RIMPEL) dan 11,92 % untuk mutu 3 (BWP). Persyaratan mutu SNI untuk kadar air biji pala maksimum adalah 10 % maka mutu 1 dan mutu 2 sudah memenuhi syarat SNI. Berdasarkan hasil tersebut SNI biji pala perlu direvisi yang mencakup persyaratan jumlah biji per ½ Kg terhadap produk biji pala yang beredar dipasar.
Pendugaan Kelas Mutu Berdasarkan Analisa Warna Dan Bentuk Biji Pala (Myristica fragrans houtt) Menggunakan Teknologi Pengolahan Citra Dan Jaringan Saraf Tiruan Dinar, Latifa; Suyantohadi, Atris; Fallah, M. Affan Fajar
Jurnal Keteknikan Pertanian Vol 26, No 1 (2012): Jurnal Keteknikan Pertanian
Publisher : PERTETA

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

Abstract

Abstract Factors affecting the quality of a product is one of them is the color and shape. Color and shape factor was used as a parameter the most attention in the selection of a product. Farmer level, the separation between the seed heads intact and damaged seeds have not done this led to lower prices nutmeg. Separation based on a whole seed and grain merchants and level damage done is done by direct observation. This separation process requires large amounts of labor, the cost is relatively large and long enough. Development of separation methods based on the nutmeg seed quality classes can be done with image processing technology in combination with artificial neural networks. The use of color and shape parameter in the selection of quality seeds in non-destructive nutmeg is needed to address the separation of nutmeg manually. This study aims to identify the quality of nutmeg by color and shape by digital image processing technology in combination with artificial neural networks. Color parameters of the model used consists of a color Red Green Blue, Hue Saturation Value color model, color model Lαb shape parameter consists of area, perimeter, roundness, compactness. Discriminant analysis based on parameters derived mean color saturation and a significant area as the network input. The results showed the mean saturation parameter and the area identified quality class ABCD head, and BWP Rimpel with 100% accuracy.Key words: nutmeg, quality, color, shape, discriminant analysis, neural networksAbstrak Faktor yang mempengaruhi kualitas sebuah produk salah satunya adalah warna dan bentuk. Faktor warna dan bentuk digunakan sebagai salah satu parameter yang paling diperhatikan dalam pemilihan sebuah produk. Ditingkat petani pala proses pemisahan antara biji utuh dan biji rusak belum dilakukan hal ini menyebabkan harga biji pala menjadi rendah. Pemisahan berdasarkan biji utuh dan biji rusak dilakukan ditingkat pedagang dan dilakukan dengan pengamatan langsung. Proses pemisahan ini membutuhkan tenaga kerja dalam jumlah banyak, biaya relatif besar dan waktu yang cukup lama. Pengembangan metode pemisahan biji pala berdasarkan kelas mutu dapat dilakukan dengan teknologi pengolahan citra yang dikombinasi dengan jaringan saraf tiruan. Penggunaan parameter warna dan bentuk dalam pemilihan mutu biji pala secara non-destruktif sangat dibutuhkan untuk mengatasi permasalahan pemisahan biji pala secara manual. Penelitian ini bertujuan untuk mengidentifikasi mutu pala  berdasarkan warna dan bentuk dengan teknologi pengolahan citra digital yang dikombinasi dengan jaringan saraf tiruan. Parameter warna yang digunakan terdiri dari model warna Red Green Blue, model warna Hue Saturation Value, model warna Lab parameter bentuk terdiri dari area, perimeter, roundness dan compactness. Berdasarkan analisis diskriminan diperoleh parameter warna mean saturation dan area yang signifikan sebagai input jaringan. Hasil penelitian menunjukan parameter mean saturation dan area berhasil mengidentifikasi kelas mutu pala ABCD, Rimpel dan BWP dengan akurasi 100%.Kata kunci : Biji pala, mutu, warna, bentuk, analisis diskriminan , jaringan saraf tiruanDiterima: 03 Januari 2012; Disetujui: 29 Maret 2012 
Plant Growth Modeling Using L-System Approach and Its Visualization Suyantohadi, Atris; Alfiyan, Alfiyan; Hariadi, Mochamad; Purnomo, Mauridhi
Makara Journal of Technology Vol 14, No 2 (2010)
Publisher : Directorate of Research and Community Services, Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/mst.v14i2.183

Abstract

The visualizationof plant growth modeling using computer simulation has rarely been conducted with Lindenmayer System (L-System) approach. L-System generally has been used as framework for improving and designing realistic modeling on plant growth. It is one kind of tools for representing plant growth based on grammar sintax and mathematic formulation. This research aimed to design modeling and visualizing plant growth structure generated using L-System. The environment on modeling design used three dimension graphic on standart OpenGL format. The visualization on system design has been developed by some of L-System grammar, and the output graphic on three dimension reflected on plant growth as a virtual plant growth system. Using some of samples on grammar L-System rules for describing of the charaterictics of plant growth, the visualization of structure on plant growth has been resulted and demonstrated.
Penentuan Kriteria Mutu Biji Pala (Myristica fragrans Houtt) Berdasarkan Analisis Tekstur Menggunakan Teknologi Pengolahan Citra Digital Dinar, Latifa; Suyantohadi, Atris; Fajar Fallah, Mohammad Affan
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 | DOI: 10.22146/agritech.9570

Abstract

Separation of nutmeg based on quality at the farm level is still not done. At the market level process to separate the whole seed and seed damage done by direct observation. The process has the disadvantage, among others, can not be done continuously and mixed results. Development of non-destructive method for separate nutmeg by class quality effectively and objectively indispensable. On image texture analysis can be used to differentiate the surface properties of an object in the image associated with the rough and smooth, also the specific properties of the surface roughness and smoothness criteria that characterize an object of an object. This study aims to analyze the texture characteristics of the object image nutmeg with image processing to determine the quality grade of nutmeg. The materials used are nutmeg derived from Ternate town of North Maluku with reference to defined quality standards in 2000 that divides Menegristek nutmeg into three quality classes ABCD, Rimpel and BWP. Determination of the quality criteria nutmeg done by the method of discriminant analysis. Texture characteristics extracted from the object image consisting of nutmeg contrast, correlation, energy, homogenity, entropy. The results showed significant parameter correlation and the entropy distinguish quality classes nutmeg with a degree of truth of 96,7%.ABSTRAKPemisahan biji pala berdasarkan mutu di tingkat petani saat ini masih belum dilakukan. Di tingkat pedagang proses untuk memisahkan antara biji utuh dan biji rusak dilakukan dengan pengamatan langsung. Proses tersebut memiliki kelemahan antara lain tidak dapat dilakukan secara terus menerus dan hasil yang beragam. Pengembangan metode non-destruktif untuk memisahkanan biji pala berdasarkan kelas mutunya secara efektif dan objektif sangat diperlukan. Analisis  tekstur pada citra dapat digunakan untuk membedakan sifat-sifat permukaan suatu benda dalam citra yang berhubungan dengan kasar dan halus, juga sifat-sifat spesifik dari kekasaran dan kehalusan permukaan suatu objek yang mencirikan kriteria suatu objek. Penelitian ini bertujuan menganalisis ciri tekstur dari citra objek biji pala dengan pengolahan citra untuk menentukan kelas mutu pala. Bahan yang digunakan adalah biji pala yang berasal dari kota Ternate Maluku Utara dengan mengacu pada standar mutu yang ditetapkan Menegristek tahun 2000 yang membagi biji pala kedalam tiga kelas mutu ABCD, Rimpel dan BWP.  Penentuan kriteria mutu pala dilakukan dengan metode analisis diskriminan. Ciri tekstur yang diekstrak dari citra objek biji pala terdiri dari kontras, korelasi, energi, homogenitas, entropi. Hasil penelitian menunjukan parameter korelasi dan entropi signifikan membedakan kelas mutu pala dengan tingkat kebenaran sebesar 96,7%.
Uji Kinerja Teknologi Kontrol Tepat Guna untuk Peningkatan Kualitas Produksi Sutera Alam Sutiarso, Lilik; Suyantohadi, Atris; Purwanto, Hari; Radi, Radi
Agritech Vol 26, No 4 (2006)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.9484

Abstract

The world demand of raw-silk provides a great opportunity to the development of raw-silk production in Yogyakarta. Recently, only 21% of the overall world demand of raw-silk is fulfilled, whereas Indonesia contributes only 0.1% per year. The main problem is the lack of quality of raw-silk. The optimum growth of silkworm depends on micro environments, i.e. temperature, humidity, aeration, and light intensity. The research aimed at designing an automated “on/off” control technology in the silkworm rearing environmental monitoring in the farming system, while the expected result was high-grade quality of cocoon. In the research, two different conditions of silkworm growing environments were compared, i.e. controlled environment (in the rearing box) and uncontrolled environment. The result indicated that there was increase in  the quality of cocoon. Test of cocoons in laboratory showed that the average thickness of cocoons in controlled rearing environment and in rearing environment was 0.033 cm and 0.029 cm, respectively. The percentage of cocoons in controlled rearing environment was higher than cocoons in normal environment.
Penerapan Alat Pengepres Ampas Tahu untuk Pengrajin Tempe Gembus Sentra Industri Tahu "Ngudi Lestari" Srandakan, Bantul Suyantohadi, Atris; Supartono, Wahyu; Suryandono, Agustinus
Agritech Vol 20, No 1 (2000)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.13709

Abstract

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Analisis Preferensi Konsumen dan Uji Mutu Mie Instant di Daerah Istimewa Yogyakarta Suyantohadi, Atris; Suharno, Suharno; Jumeri, Jumeri
Agritech Vol 20, No 2 (2000)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.13694

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Desain Sistem Informasi Pendukung Keputusan untuk Optimalisasi Profit pada Usaha Kecil Peternakan Broiler Suyantohadi, Atris
Agritech Vol 21, No 2 (2001)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.13605

Abstract

Small Broiler Breeding Enterprise usually cultivates chicken from one hundred up to five thousand stocks. Some weakness were found in such enterprise including non market segmentation, unpredictable fluctuation on the price of the chicken, DOC and ransum. As the research object was Small Broiler Breeding Enterprise in Yogyakarta, which the sample was allocated on product of DOC Hibro Am 888. By using Decision Support Information System that was designed as a tool tor optimize profit of such enterprise, the best result of the sample analysis was achieved in seven week old. The result showed that for five hundred stocks, the optimum achievement should be Rp 574.508,1 at the production cost Rp 2.239.987,5 in November 2000. The Break Event Point analysis for 397 stocks. Basing on the selling price factor and its variable cost, the application program that was desugned for Decision Support Information System gave easiness in supporting the optimum decision.
Desain Sistem Kontrol Ruang Pertumbuhan Ulat Sutera untuk Meningkatkan Kualitas Produksi Sutera Alam Sutiarso, Lilik; Suyantohadi, Atris; Purwanto, Hari
Agritech Vol 24, No 4 (2004)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.13385

Abstract

The world demand of raw-silk provides a great opportunity to the development of raw-silk production in Yogyakarta. Recently, only 21% out of the overall world demand of raw-silk is fulfilled, whereas Indonesia contributes only 0.1% per year. The main problem is the lack of quality of raw-silk. The optimum growth of silkworm depends on micro environments, i. e. temperature, humidity, aeration, and light intensity. The research was aimed, to apply an automated -"on/or control technology in the silkworm rearing environmental monitoring. The result expected is high-grade quality of cocoon. In the research, two different conditions of silkworm growing environments were compared: controlled environment (in the rearing box) and normal environment. Then, from third instar (silkworms growth stage) to cocoons stage (final stage or fifth instar), temperature and air humidly were set on 24°C - 26°C and 70% - 80% respectively. While, Aeration and light intensity were ranged 0.1 - 0.3 m/s and 15 - 30 lux for all instar stages (constant) respectively. The result indicated that there was an increasing the percentage of cocoon skins grade in the controlled rearing environment (19.66%), compared to the result of normal rearing environment (18.56%), also there was significantly different result on the thickness of the cocoon produced