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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) agriTECH Agroindustrial Journal Makara Journal of Technology Jurnal Standardisasi
Atris Suyantohadi
Jurusan Teknologi Industri Pertanian, Fakultas Teknologi Pertanian Universitas Gadjah Mada Jl. Sosio Yustisia, Bulaksumur, Yogyakarta 55281
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Artificial Neural Network Model for Affective Environmental Control System in Food SMEs Mirwan Ushada; Tsuyoshi Okayama; Atris Suyantohadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.7437

Abstract

This paper presents an affective environmental control system for Small and Medium-sized Enterprises (SMEs). The system is proposed as a technology innovation in appropriate information technology. It is defined that workplace environment set points could be controlled using worker workload. The research objectives are: 1) To design an affective environmental control model for SME; 2) To develop an Artificial Neural Network (ANN) model for predicting affective environment set points. The system consisted of 4 sub-systems as measurement, assessment, control and decision. An ANN model is developed for sub-systems of control. Training and validation data are acquired from 4 (four) samples of SME in Yogyakarta Special Region, Indonesia. The model has been developed successfully to predict temperature and light intensity set points using back-propagation supervised learning method. The research results indicated the satisfied performance of ANN with minimum error. ANN model indicated the closeness of R2 value between training and validation data. The research results could be applied to support the worker productivity in food SMEs by providing a comfort workplace environment and optimum worker workload.
Uji Kinerja Teknologi Kontrol Tepat Guna untuk Peningkatan Kualitas Produksi Sutera Alam Lilik Sutiarso; Atris Suyantohadi; Hari Purwanto; 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 | Full PDF (1765.684 KB) | 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.
Penentuan Kriteria Mutu Biji Pala (Myristica fragrans Houtt) Berdasarkan Analisis Tekstur Menggunakan Teknologi Pengolahan Citra Digital Latifa Dinar; Atris Suyantohadi; Mohammad Affan Fajar Fallah
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 (465.474 KB) | 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%.
Plant Growth Modeling Using L-System Approach and Its Visualization Suyantohadi, Atris; Alfiyan, Alfiyan; Hariadi, Mochamad; Purnomo, Mauridhi Hery
Makara Journal of Technology Vol. 14, No. 2
Publisher : UI Scholars Hub

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

Abstract

The visualization of 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.
Analysis of Effectiveness Instagram as a Promotional Media for Akkar Juice Bar Products Rizky Ananda Putri; Novita Erma Kristanti; Atris Suyantohadi
Agroindustrial Journal Vol 10, No 1 (2023)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v10i1.90233

Abstract

The number of internet users in Indonesia has been rising annually. A growing number of people are using social media including Instagram as a communication tool for digital marketing. Since the beginning of the company, Akkar Juice Bar has utilized Instagram to reach out to and interact with customers as well as to introduce its products. Using the CRI (Customer Response Index) with AISAS (Attention, Interest, Search, Action, Share) method, this study aims to measure Instagram's effectiveness as a promotional tool for Akkar Juice Bar. Based on the findings of this analysis, promotion recommendations are made. Instagram's effectiveness as a marketing medium is evaluated by a CRI calculation with a modified AISAS model. These calculations include CRI AIS of 77.17%, CRI AISS of 72.72%, CRI AIAS of 60.85%, and CRI AISAS of 57.34%. The four obtained CRI model values provide valuable information in general. To make the greatest impact of promotions, it is advised to use Instagram Ads for advertising, run consumer-driven campaigns and competitions, reward consumers who share, feature customer testimonial posts, and make posts more intense.
KAJIAN STANDAR NASIONAL INDONESIA BIJI PALA Latifa Dinar; Atris Suyantohadi; M. Affan Fajar F
JURNAL STANDARDISASI Vol 15, No 2 (2013)
Publisher : Badan Standardisasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/js.v15i2.111

Abstract

Co-Authors Alfiyan Alfiyan Alfiyan Alfiyan, Alfiyan Hari Purwanto Latifa Dinar Latifa Dinar Latifa Dinar Lilik Sutiarso M. Affan Fajar F Mauridhi Hery Purnomo Mauridhi Purnomo Mauridhi Purnomo, Mauridhi Mirwan Ushada Mochamad Hariadi Mochamad Hariadi Mohammad Affan Fajar Falah Murase, Haruhiko Nafis Khuriyati Novita Erma Kristanti Okayama, Tsuyoshi Radi Radi Rizky Ananda Putri Tsuyoshi Okayama