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All Journal Majalah Ilmiah Teknologi Elektro OPSI Tekinfo | Scientific Journal of Industrial and Information Engineering Applied Industrial Engineering Journal
Rudy Tjahyono
Universitas Dian Nuswantoro
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Model dan Simulasi Alur Rantai Pasok Sampah Organik Menjadi Pakan Ternak Lele Ratih Setyaningrum; Dewi Agustini; Rudy Tjahyono; Dian Retno Sawitri; Tambah Ayu Arida
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 8 No 2 (2020)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v8i2.800

Abstract

The most widely generated waste is organic waste, which is 60% compared to other types of waste. So far, NRC has been able to process organic waste to be used as animal feed products for catfish or pellets. The production capacity that can be carried out by the NRC company is 150 kg to 200 kg per day, but the organic waste obtained at this time has not been able to reach the required production capacity. Based on this, it is necessary to propose a better organic waste supply chain model for NRC companies. The purpose of this study will be to map the supply chain of organic waste into catfish feed. The supply chain model made is the current supply chain and the proposed supply chain. The final output of the study will compare current conditions and proposed supply chain models. The simulation results with arena software show the acquisition of organic waste as much as 352 kg. That means organic waste obtained by the NRC company from the 4 waste banks is 352 kg. Recommended supply chain recommendations have 4 waste bank suppliers, with each bank having a minimum of 3 waste producers.
Work Posture Evaluation on Ergonomic “Colet” Workbench Design in Batik Coloring Process using Rapid Entire Body Assessment and Nordic Body Map Amalia Amalia; Rudy Tjahyono; Jazuli Jazuli; Rodia Syamwil
OPSI Vol 14, No 2 (2021): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v14i2.5302

Abstract

The effort to preserve batik is to maintain the continuity of batik production. Coloring process is one of the important processes in batik production. In addition to the dyeing technique, there is a “colet” technique in batik coloring process. Colet technique is considered an efficient technique in saving coloring dyes. The colet process is still carried out without standards and does not consider ergonomic aspects. This study aims to analyze the risk level of batik workers posture in colet technique coloring process. This research is an observational study with data analysis using the Rapid Entire Body Assessment (REBA) and Nordic Body Map (NBM). Based on the measurement, the risk level with the initial work posture has a score 9 and 7, which means the posture needs immediate corrective action to prevent occupational diseases. The implementation of Ergonomic “Colet” workbench is a way to improve work posture so the risk could be decreased, with score 4 both in standing and sitting working position.
PERBANDINGAN TINGKAT PENGENALAN CITRA DIABETIC RETINOPATHY PADA KOMBINASI PRINCIPLE COMPONENT DARI 4 CIRI BERBASIS METODE SVM (SUPPORT VECTOR MACHINE) Sari Ayu Wulandari; Rudy Tjahyono; Dian Retno Sawitri
Jurnal Teknologi Elektro Vol 15 No 1 (2016): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2016.v15i01p17

Abstract

Abstract— Pattern recoqnition methods for image of diabetic retinopaty are influenced by differences in pigmentation. To help diabetic retinopathy image recognition is required a software. This paper presents the results of research on pattern recognition image of diabetic retinopathy,This study used the image of the yellow canal with Gabor filter.Characteristics that are taken from each image is characteristic of the mean,variance, skewness and entropy, followed by feature extraction with PCA (Principle Component Analysis).At PCA feature extraction, square matrix whose number of columns equal to the number of features is enerated.There are four features used. These features are 4 PCs (Principle Component), ie, PC1, PC2, PC3 and PC4.From the combination of these features, we obtained six pairs that consist of two traits. By using a linear model of SVM will been selected the pair with the highest accuracy value. Based on the analysis, we obtained a couple PC1and PC2 models that have the highest levels of learning (100%) and the fastest recognition time, which is explicitly indicated by the smallest amount of support vector.
Pemodelan dan Analisa Produktivitas Proses Pembekuan Produk Fillet Ikan Menggunakan Objective Matrix (OMAX) (Studi Kasus PT. Mandala Mulya Sakti Surabaya) Christian Kurniawan; Rudy Tjahyono; Dwi Nurul Izzhati
Applied Industrial Engineering Journal Vol 1, No 1 (2017)
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.97 KB) | DOI: 10.33633/aiej.v1i1.1726

Abstract

Way in increasing the value of productivity in manufacturing and service companies are usually always faced with many constraints factors such as human, machine, material, information or energy. PT. Mandala Mulya Sakti Surabaya is one example of a fish processing manufacturing company experiencing problems related to productivity decline. The decrease of productivity occurred in July 2016 where the freezing unit of dori fish fillet with significant value so that handling effort is needed. This research uses Objective Matrix (OMAX) as an effort to evaluate the value of productivity by modeling and analyzing the productivity of freezing process of dori fish product, then the result of scientific analysis will be used as benchmark of productivity improvement in the future. Technical rather than the use of OMAX is to determine the criteria ratios, search data using questionnaires and utilize AHP methods to determine the weight, followed by the calculation of ratios and the determination of the value boundary, then the final stage is the creation of OMAX table to calculate the value of productivity. The results of this study indicate that the lowest productivity value occurred in July of 2016 of 5.08 and the highest in April 2017 amounted to 468.12. These results can be a reference in future productivity improvements
Co-Authors Amalia Amalia Christian Kurniawan dan I.G. Bagus Budi Dharma Ratih Setyaningrum Heddy Shri Ahimsa-Putra Dewi Agustini Dian Retno Sawitri Dwi Nurul Izzhati Jazuli Jazuli Rodia Syamwil Sari Ayu Wulandari Tambah Ayu Arida