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Journal : agriTECH

Analisis Pengaruh Kepuasan Kerja terhadap Kinerja Karyawan dengan Pendekatan Kansei Engineering Perusahaan XYZ Riza Ovita Risqi; Mirwan Ushada; Wahyu Supartono
agriTECH Vol 35, No 1 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (174.932 KB) | DOI: 10.22146/agritech.9422

Abstract

XYZ Company is an export-oriented industry which is important for them to focus on the competency of worker. Therefore, job satisfaction and workload are the important factors which influence the job performance based on the competency. This research highlighted a methodology to define the relationship between job satisfaction and performance using Kansei Engineering approach. Kansei Engineering approach is applicable to model the human sensibility factors using comparison between verbal and non-verbal parameters. The research objective is to determine the influence of job satisfaction and workload to worker performance. The workload factors were influenced by the workplace environment. Kansei words were acquired using the interview together with the video presentation as the source of worker image. A model of multiple regression analysis was developed as Kansei engineering model. The inputs were satisfaction and workload factors, while output is the worker performance. The research results indicated the correlation value of 77,5%, adjusted r square sebesar 44,1%. Research results indicated worker performance can be affected by job satisfaction and workload by 44.1%. The remained percentage of 55.9% was affected by others variable.ABSTRAKPerusahaan XYZ merupakan perusahaan yang berorientasi ekspor sehingga penting bagi perusahaan untuk dapat mempertahankan karyawan yang berkompeten dibidangnya. Salah satu cara yang dapat dilakukan perusahaan untuk mempertahankan karyawan adalah dengan menciptakan kepuasan kerja karyawan yang dapat mempengaruhi kinerja karyawan. Penelitian ini bertujuan untuk mengetahui besar pengaruh kepuasan kerja dan beban kerja terhadap kinerja karyawan Perusahaan XYZ. Beban kerja dipengaruhi oleh lingkungan kerja. Metode yang digunakan dalam penelitian adalah pendekatan Kansei Engineering. Kansei Engineering merupakan metode yang digunakan untuk mengolah nilai Kansei sebagai input menjadi atribut sistem kerja baru sebagai outputnya. Selain itu metode ini juga digunakan untuk mengetahui gap antara respon verbal dan non-verbal. Nilai Kansei diperoleh melalui wawancara yang disertai dengan pemutaran video sebagai sumber imajinasi karyawan. Hasil dari kuesioner kepuasan dan pengukuran beban kerja kemudian dianalisis menggunakan regresi berganda dengan hasil kuesioner kinerja. Input dari penelitian adalah faktor kepuasan kerja dan beban kerja, sedangkan output adalah kinerja karyawan. Hasil penelitian diperoleh nilai r square yaitu diketahui bahwa nilai korelasi model regresi linier berganda ini adalah sebesar 77,5%, sedangkan adjusted r square sebesar 44,1% menunjukkan bahwa kinerja karyawan variabel Y dapat dijelaskan oleh variabel X yang meliputi faktor fisiologis, keselamatan dan keamanan, sosial, penghargaan, aktualisasi diri, dan beban kerja sebesar 44,1%. Persentase sisanya sebesar 55,9% dijelaskan oleh variabel lainnya.
Analisis Capacity Constrained Worker dengan Pendekatan Waktu Baku, Denyut Jantung dan Profile Of Mood States (Studi Kasus pada Industri Tempe “Muchlar”Kasihan Bantul) Maman Zuriwiatma; Mirwan Ushada; Guntarti Tatik Mulyati
agriTECH Vol 34, No 3 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.475 KB) | DOI: 10.22146/agritech.9461

Abstract

Tempe ”Muchlar” is one the potential food indutry which all the job is pursued manually. The production process is based on the worker capacity. The main problem is the industry could not fulfi ll the production target of half-finished Tempe product of + 3.600 kg.  The research objective is to identify Capacity Constrained Worker using standard time, heart rate, profi le of mood states and recommending the improvement to increase the worker capacity. The measurement results were confi rmed using analysis of working environment. The research results indicated that Capacity Constrained Worker of Tempe Industry was the worker of peeling. It was indicated by the standard time of 5,63 detik/kg that could not fulfi ll the production target of 3.600 kg in 5 work hours. The improvement was pursued by decreasing the room temperature of working station. The improvement could increase the standard time of 5 second/kg, fulfi lling the production target and increasing the income. Finally the improvement using Buffer Management could improve the Capacity Constrained Worker in Tempe Industry “Muchlar”.ABSTRAKTempe ”Muchlar” merupakan salah satu industri pangan yang semua pekerjaannya dilakukan manual sehingga proses  produksinya sangat tergantung kapasitas dari pekerja. Permasalahan muncul karena target produksi tempe setengah jadi sebesar + 3.600 kg tidak tercapai.  Penelitian ini bertujuan untuk mengidentifikasi Capacity Constrained Worker yang terjadi menggunakan pendekatan waktu baku, denyut jantung, profile of mood states serta menentukan perbaikan yang tepat untuk dapat meningkatkan kapasitasnya. Hasil pengukuran terhadap pekerja dikonfi rmasi dengan analisis keadaan lingkungan kerja. Dari hasil penelitian dapat ditentukan bahwa pekerja yang menjadi Capacity Constrained Worker adalah pekerja stasiun pemisahan kulit. Hal ini dibuktikan dari waktu baku yang diperoleh sebesar 5,63 detik/kg yang membuat target produksi sebesar 3.600 kg dalam 5 jam tidak tercapai. Dengan perbaikan yang dilakukan yaitu menurunkan suhu ruangan dari tinggi ke normal waktu baku pekerja dapat meningkat menjadi 5 detik/kg dan target produksi dapat tercapai serta meningkatkan pendapatan. Perbaikan dengan menerapkan buffer management dapat mengurangi stasiun kerja yang menjadi constraint.
Analisis Kinerja Mutu Prototipe Greening Material Lumut Berdasarkan Perubahan Skala Warna L*a*b* dan RGB Prita Nurindahsari; Mirwan Ushada; Mohammad Affan Fajar Falah
agriTECH Vol 34, No 1 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1347.237 KB) | DOI: 10.22146/agritech.9528

Abstract

Quality performance greening material of moss was pursued based L*a*b* color scale and RGB index. The research objective is to test the quality of performance greening material of moss based on temperature parameters. Then determine the optimum point temperature greening material of moss in a controlled environment by color change parameters. The research was pursued by testing a prototype greening material of moss (sphagnum sp) in confined space, three treatment temperature are average temperature 28 ±20C, high temperature 33±20C and 38±20C as the extreme temperature, with 500 ml water stream for 2160 minutes and without watering for 1440 minutes. Indications of quality performance can be seen by L*a*b* and RGB color change. The results were confirmed by using photosynthesis rate. The best performance is in the extreme temperature treatment by flushing, with 34.71% of G index. The research concluded has satisfied quality performance greening material of moss in maximum.ABSTRAKKualitas performansi greening material lumut diyakinkan berdasarkan skala warna L*a*b* dan indeks RGB. Tujuan penelitian yaitu untuk pengujian performansi mutu tumbuhan lumut dalam prototipe greening material berdasarkan parameter suhu. Kemudian menentukan titik optimum suhu greening material lumut dalam sistem lingkungan terkendali dengan parameter perubahan warna. Penelitian ini dilakukan dengan menguji prototipe greening material lumut (sphagnum sp) pada confined space, dengan tiga perlakuan suhu yaitu suhu rata-rata 28±20 C, suhu tinggi 33±20 C dan suhu ekstrim 38±20C dengan penyiraman air 500ml selama 2160 menit dan tanpa penyiraman selama 1440 menit. Indikasi performansi mutu dilihat dari perubahan warna Lab dan RGB yang didukung dengan laju fotosintesis tumbuhan lumut. Hasil performansi paling optimum yaitu pada perlakuan suhu ekstrim dengan penyiraman dengan indeks G 34.71%. Kesimpulan dari eksperimen ini bahwa kualias yang paling memuaskan dari kinerja mutu prototipe greening material lumut pada perlakuan suhu maksimal.
Environmental Ergonomic Analysis in MSMEs of ‘Karak’ using Working Environment Approach, HIRARC, and Kansei Engineering Adiatmaja, Firstama Saka; Ushada, Mirwan; Purwadi, Didik
agriTECH Vol 45, No 2 (2025)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.79984

Abstract

The working environment in Micro, Small, and Medium Enterprises (MSMEs) is considered less than ideal based on the Indonesian Minister of Health Regulation Number 70 of 2016 concerning Standards and Requirements for Industrial Working Environment, in relation to temperature, lighting, noise intensity, and humidity. Therefore, an analysis is necessary to improve MSMEs’ ability to create an ideal working environment. This study aimed to analyze and improve working environment ergonomics by focusing on the physical working environment, workers preferences and sensitivities, as well as work environment risks associated with various factors. The case study examined MSMEs in Klaten Regency, Central Java. The methods used included working environment observation, HIRARC (Hazard Identification, Risk Assessment, and Risk Control), Kansei engineering, and multiple linear regression (MLR). Specifically, HIRARC was used to assess risks, Kansei engineering to identify workers preferences and sensitivities, and MLR to determine correlations between variables. One of the risky working conditions was observed at the smoking and frying workstation, where the temperature reached 32.81˚C, exceeding the reference value of 31˚C. Lighting levels were recorded at 101.09 lux, below the recommended 200-500 lux. Noise levels measured 68.38 dB, within the acceptable limit of 85 dB, while humidity was 52.63% compared to the reference value of 51.36% ± 5.72%. HIRARC assessment classified the risk level at the smoking and frying workstation as medium to extreme. Furthermore, Kansei engineering identified key perception variables, namely dark vs. light, dirty vs. clean, unpleasant vs. pleasant, stuffy vs. cool, and hot vs. cold. The results showed working environment parameters significantly correlated with HIRARC and Kansei engineering variables, which consequently correlated with HIRARC.