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<![CDATA[JENIS MATERIAL PAHAT POTONG DAN RUN OUT TERHADAP KEKASARAN PERMUKAAN BENDA KERJA SILINDER PADA PROSES BUBUT ]]>
<![CDATA[Hendra, Hendra]]>;
<![CDATA[Sutarmadi, Sutarmadi]]>;
<![CDATA[Indriani, Anizar]]>;
<![CDATA[Hernadewita, Hernadewita]]>
<![CDATA[ Jurnal MEKANIKAL Vol 4, No 2 (2013): JM Vol. 4 No. 2, Juli 2013 ]]>
Publisher : <![CDATA[Jurnal MEKANIKAL ]]>
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<![CDATA[Machining process is part of the production process where cutting process of work piece is done by using machine tools. Machine tools are used in the machining process includes lathe machines, milling machines, shaping machines, drilling machines and other machine tools. For a cylindrical work piece the cutting process can be done by using a lathe. Lathe process can make cylindrical objects, holes, taper and other forms. In the cutting process of work piece with a lathe machine are required high accuracy and precision especially for work piece such as shafts , pistons and objects that serve as a connecting other components. Work piece with high accuracy and precision can be obtained by use the reliable of machine tools, cutting condition, the selection of machining elements and material of cutting tools; operators have a skill for operation of machine tools. Cutting conditions such as mounting work pieces that are not center (run out) or overhang of work piece with strong pressure between head stock and tail stock can be resulting deflection. Run out and deflection happened can be cause the cutting force is not uniform. Therefore cause damage to the work piece and machine. Damage on the work piece can be seen from the quality of the cutting (surface roughness) and for machine on the case of chatter or vibration arising from the cutting force. In this paper we will focus to determine the effect of cutting tools material and run out of material on the surface roughness where as machining element used is the depth of cut and feeding. Work piece used is made of medium carbon steel.]]>
<![CDATA[Peramalan Penjualan Obat Generik Melalui Time Series Forecasting Model Pada Perusahaan Farmasi di Tangerang: Studi Kasus ]]>
<![CDATA[Hernadewita, Hernadewita]]>;
<![CDATA[Hadi, Yan Kurnia]]>;
<![CDATA[Syaputra, Muhammad Julian]]>;
<![CDATA[Setiawan, Donny]]>
<![CDATA[ Journal of Industrial Engineering & Management Research Vol. 1 No. 2 (2020): Agustus 2020 ]]>
Publisher : <![CDATA[AGUSPATI Research Institute ]]>
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DOI: 10.7777/jiemar.v1i2.38
<![CDATA[Peramalan penjualan pasar memungkinkan sebuah perusahaan memiliki tingkat persediaan yang optimal untuk membuat keputusan produksi yang sesuai dan mempertahankan efisiensi dari kegiatan operasional. Peramalan menjadi alat bantu penting bagi perusahaan untuk perencanaan yang lebih efektif dan efisien dalam meningkatkan kualitas dan produktivitas, termasuk bagi Perusahaan Farmasi yang ada di Tangerang ini dengan kompetensi unggul pada segmen obat generik. Tujuan dari penelitian ini adalah mengetahui metode peramalan time series terbaik untuk meramalkan penjualan obat generik, dan juga memperoleh hasil peramalan penjualan obat generik untuk periode selanjutnya, yaitu terhitung bulan April 2020 sampai dengan Maret 2021. Penelitian ini adalah penelitian deskriptif dengan menggunakan metode peramalan time series dan teknik analisis data menggunakan Microsoft Excel dan Minitab 17. Tingkat error yang dihasilkan dari metode peramalan diketahui dengan penghitungan kesalahan yang terdiri dari mean absolute deviation (MAD), mean squared error (MSE), dan mean absolute percentage error (MAPE). Berdasarkan hasil analisis data, diketahui metode peramalan time series terbaik untuk meramalkan penjualan obat generik ini adalah metode tren musiman. Metode ini dipilih karena memiliki nilai tingkat error paling rendah apabila dibandingkan dengan metode lainnya, yaitu dengan MAD sebesar 47.03, MSE sebesar 7138.98, dan MAPE sebesar 1.33%. Jadi dengan ini perusahaan bisa menentukan angka peramalan mana yang terbaik untuk digunakan, sehingga menumpuknya bahan baku, serta cash flow yang tesendar di suatu inventory tidak akan terjadi lagi, atau adanya kekurangan material yang urgensinya mendadak.]]>
<![CDATA[FORECASTING ANALYSIS OF URETHANE BLADE NEEDS ON BELT CLEANER TO MINIMIZE FORECAST ERROR (CASE STUDY AT PT. MS ENGINEERING) ]]>
<![CDATA[Hernadewita, Hernadewita]]>;
<![CDATA[Zuniawan, Akhyar]]>;
<![CDATA[Maryani, Edna]]>;
<![CDATA[Karini, Nofitasari Damayanti]]>
<![CDATA[ Journal of Industrial Engineering & Management Research Vol. 1 No. 2 (2020): Agustus 2020 ]]>
Publisher : <![CDATA[AGUSPATI Research Institute ]]>
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<![CDATA[MS Engineering is a company engaged in the field engineering, which is producing belt cleaners for cleaning conveyor belts in mining areas, the cement industry and the power plant. In the belt cleaner, has several parts assembled into one, including metal parts and urethane blade parts. PT MS Engineering has low forecasting accuracy, causing excess stock, especially for parts of urethane blade that have expired. The company only sees based on historical data. Therefore, to overcome these problems, it is necessary to forecast demand with the appropriate method. In this study by comparing several forecasting methods to find the highest error rate. The methods to be used include Single Moving Average, Exponential Smoothing and Weighted Moving Averages. From the discussion and analysis of the three calculation methods above, it is known that the calculation results with the 4 monthly Single Moving Average methods are better and more suitable to be applied by PT. MS Engineering in predicting the needs of Urethane Blade in January 2020, because the method has a lower error rate than the method other. The forecast error rate, MAD (Mean Absolute Deviation) of 58,906 and MSE (Mean Square Error) of 4484.57 with forecast results for January 2020 of 292.5 pcs.]]>
<![CDATA[ANALISA AKAR MASALAH RADIAL RUN OUT BAN MENGGUNAKAN DECISION TREE ]]>
<![CDATA[Biantoro, Bambang]]>;
<![CDATA[Hernadewita, Hernadewita]]>
<![CDATA[ Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Vol 5, No 2 (2021): Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan ]]>
Publisher : <![CDATA[Universitas Tarumanagara ]]>
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DOI: 10.24912/jmstkik.v5i2.9417
<![CDATA[Problem solving in the multistage production process is a challenge for the industry. The use of modern techniques such as machine learning in solving quality problems continues to be developed. One of the machine learning is decision tree. The tire industry entered the era of industrial revolution 4.0 with the use of information technology. Utilizing data using machine learning in finding the root cause of the problem can support the tire industry in industrial competition. This study aims to explore the process data in the tire industry to solve one of the tire quality problems, namely radial run-out tires. The technique of finding the root of the problem in this research is done using Classification and Regression Tree (CART) technique. Input variables involve 60 factors in the production process. From the research, it was found that the factors that influence the radial run out value are the lot of the Tread, Bead and Sidewall components. The factors causing the high radial run-out of the tires are the variations in the lot of the tire components Tread and Bead. The decision tree model that was formed has a precision level of 74.7% in detecting high radial run-out events. The effects of improvement on the lot tread and bead components resulting from the decision tree can reduce the defect of radial run out rate by 99.9%. Keywords: Decision tree; Root cause analysis; Radial run-out Tire; Data mining AbstrakPemecahan masalah pada proses produksi multistage merupakan tantangan untuk indusri. Pemanfaatan teknik modern seperti machine learning dalam pemecahan masalah kualitas terus dikembangkan. Salah satu machine learning adalah decision tree. Industri ban memasuki era industri revolusi 4.0 dengan adanya pemakaian teknologi informasi seperti barcode atau radio frequency identification. Pemanfaataan data dengan menggunakan machine learning dalam pencarian akar masalah bisa mendukung industri ban dalam kompetisi industri. Penelitian ini bertujuan untuk mengekplorasi data proses pada industri ban untuk memecahkan permasalahan kualitas ban yaitu radial run-out ban. Teknik pencarian akar masalah dilakukan menggunakan Clasification and Regression Tree (CART). Variabel input melibatkan 60 faktor dalam proses produksi. Dari penelitian didapatkan faktor yang mempengaruhi nilai radial run out adalah lot komponen Tread, Bead dan Sidewall. Untuk faktor penyebab tingginya radial run-out ban adalah variasi lot komponen Tread dan Bead. Model decision tree yang terbentuk memiliki tingkat presisi 74,7% dalam mendeteksi kejadian radial run-out berkategori tinggi. Efek perbaikan pada komponen lot Tread dan Bead yang dihasilkan dari decision tree dapat menurunkan tingkat defect radial run- out ban sebesar 99,9%.]]>
<![CDATA[Problem-solving step analysis for increasing tire static balance levels: a case study ]]>
<![CDATA[Tubagus Hendri Febriana]]>;
<![CDATA[Hendi Herlambang]]>;
<![CDATA[Hernadewita Hernadewita]]>;
<![CDATA[Hasbullah Hasbullah]]>;
<![CDATA[Abdul Halim]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 5 No. 1 (2021) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v5i1.3292
<![CDATA[One of the company's efforts in implementing the commitment to customer satisfaction is carried out through continuous improvement activities. All indicators are evaluated to determine the level of quality stability against process variations that will impact non-compliance with predetermined product specifications. One of the quality problems found in the tire manufacture industry is the out-percentage of tire uniformity, which suddenly increases, one of which is the value of static balance. This study analyses the process variation factors that occur to take corrective and preventive actions through a series of Root Cause Analysis (RCA), Fault Tree Analysis (FTA), and Failure Mode and Effect Analysis (FMEA). Refers to the analysis result, it was found that there was a problem with the rubber film gauge variation at the manufacturing step of the steel breaker, one of the material components in the tire construction. Two main factors cause rubber film thickness variation: rubber sticky with roll calendar, Radial Run Out (RRO) Roll Calendar out standard, and viscosity compound variation with 12 root problems found. The results of the improvements that have been made can effectively improve rubber film thickness variation, increase the Cpk level of steel breaker material from 0.82 to 1.91 and reduce the out percentage ratio of static balance by 54.65%.]]>
<![CDATA[Psikososial dan Beban Kerja Perawat – Sebuah Penelitian di Salah Satu RS Militer di Indonesia ]]>
<![CDATA[Hardianto Iridiastadi]]>;
<![CDATA[Vera Septiawati]]>;
<![CDATA[Euis Nina Saparina Yuliani]]>;
<![CDATA[Hernadewita Hernadewita]]>
<![CDATA[ Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic) Vol 6 No 1 (2020): Volume 6 No 1 Juni 2020 ]]>
Publisher : <![CDATA[Program Studi Magister Ergonomi Fisiologi Kerja Pascasarjana Universitas Udayana Denpasar Bekerjasama dengan Perhimpunan Ergonomi Indonesia (PEI) ]]>
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DOI: 10.24843/JEI.2020.v06.i01.p03
<![CDATA[This study aimed to determine the level of mental workload and psychosocial factors of nurses at the executive level in in-patient rooms of a military hospital. Data were collected by distributing questionnaires to 41 nurses who served in the in-patient rooms. Measurement of mental workload was carried out using the National Aeronautics and Space Administration - Task-Load Index (Nasa-TLX) questionnaire. Measurement of psychosocial factors was carried out using the Copenhagen Psychosocial Questionnaire (COPSOQ II) questionnaire. The results showed that the average value of the overall mental workload was in the high category. The value of psychosocial factors in the work environment shows good results on the majority of the rating scales. However, the hospital needed to pay attention to several factors, such as emotional demands, health perceptions, fatigue and stress and work pace. The results of this study also showed a strong and significant positive relationship between the dimensions of management's trust and performance with r=0.545(p=0.000). Thus, it is recommended that hospital management not only assess the performance of nurses, but also periodically assess mental workload and psychosocial factors in order to create a conducive work environment]]>
<![CDATA[Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry ]]>
<![CDATA[Hendra Hendra]]>;
<![CDATA[Indra Setiawan]]>;
<![CDATA[Hernadewita Hernadewita]]>;
<![CDATA[Hermiyetti Hermiyetti]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 3 (2021): December ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v7i3.21904
<![CDATA[Customer satisfaction is one of the main factors that must be considered by every company to compete in the global market. One way to increase customer satisfaction is to reduce defective products and reduce waste. This method is a continuous improvement that must be carried out by every manufacturing industry. The Musical Instrument Industry is one of the producers of electronic musical instruments such as pianos. The production process has occurred several problems such as low product quality and waste (ineffective processes, inappropriate layouts, overproduction, and poor production quality). The biggest problem with this company is the large number of products that are not following company standards, such as not achieving quality standards and production not achieving targets. To improve the quality of its production, companies need to make the production process streamlined so that it will create a more effective and efficient production line. A balance between effectiveness and efficiency can be made by reducing waste. Lean Six Sigma is an approach that focuses on improving quality and eliminating waste and sustainable strategy to improve product quality while reducing waste. The company's strategy to be able to compete in the global market must be able to improve product quality and eliminate waste. This study aims to improve product quality and analyze the effect of improving quality on waste. The method used is Lean Six Sigma with dynamo stages, namely pre-study, measurement, analysis, and implementation. The results showed that the quality of the product had increased. Quality improvement has a significant effect on waste.]]>
<![CDATA[Productivity improvement in the rubber production process using value stream mapping method to eliminate waste ]]>
<![CDATA[Evan Haviana]]>;
<![CDATA[Hernadewita Hernadewita]]>
<![CDATA[ Operations Excellence: Journal of Applied Industrial Engineering Vol 11, No 2, (2019): OE Juli 2019 ]]>
Publisher : <![CDATA[Universitas Mercu Buana ]]>
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DOI: 10.22441/oe.v11.2.2019.023
<![CDATA[This Journal is the research of object that engaged in Industry of rubber Company, the product are formed in the Gasket product for final assembly into Hard Disk Drive, the function is to protect the connector inside Hard Disc. The Company continue to develop products and improve productivity performance by trying to improve quality of service, production process, and delivery product to customer with minimal cost and on time. To reach that purpose, a good method to eliminate waste and identify activities that can affect the products value-added was found, its value stream mapping (VSM), who can help to identify the waste from information flow, material flow and or processes flow. For this researchVSM with the support by root cause analysis tool has able to identify the highest stoppages processes contributed at rubber production that can increase the productivity. Rubber material, curing and deflashing processes had been selected for the improvement project. The improvement result showed total change over time (Non value added) from those processes were seen to be reduced from 70% until 88,89%. ]]>
<![CDATA[Pengaruh Kualitas Pelayanan dan Kualitas Pembelajaran Terhadap Kepuasan Mahasiswa Dengan Metode SEM-PLS ]]>
<![CDATA[Fransisca Debora]]>;
<![CDATA[Hernadewita Hernadewita]]>
<![CDATA[ Operations Excellence: Journal of Applied Industrial Engineering Vol 11, No 1, (2019): OE Maret 2019 ]]>
Publisher : <![CDATA[Universitas Mercu Buana ]]>
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DOI: 10.22441/oe.v.10.3.2018.015
<![CDATA[The development of science and technology and the factors of the ASEAN economic community (MEA) which are supported by increasing industry 4.0, the government gives important responsibilities for universities to be able to produce human resources that can compete in that era. This affects universities to continue to improve in terms of the quality of learning, service quality, to provide satisfaction to students which has an influence on the productivity of higher education. In this regard, research was conducted on 120 samples of student respondents (active students, and alumni) who were used to provide information by distributing questionnaires processed by Structural Equation Modeling (SEM) - Partial Least Square (PLS). Based on the results of the analysis and discussion it can be concluded that service quality has a positive effect on student satisfaction and positively influences the productivity of higher education.]]>
<![CDATA[PENGARUH PENERAPAN ISO 9001:2008 TERHADAP PENINGKATAN KINERJA KERJA KARYAWAN PT. SOFTEX INDONESIA ]]>
<![CDATA[Ade Irpan Sabilah]]>;
<![CDATA[Hernadewita Hernadewita]]>;
<![CDATA[Sadiq Ardo Wibowo]]>;
<![CDATA[Yan Mahesa Damanik]]>;
<![CDATA[Elva Susanti]]>
<![CDATA[ JURNAL REKAYASA SISTEM INDUSTRI Vol 4 No 2 (2019): Edisi Mei ]]>
Publisher : <![CDATA[Universitas Putera Batam ]]>
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DOI: 10.33884/jrsi.v1i2.1245
<![CDATA[Quality management system is the ability of an organization to maintain the quality of goods or services that are served. The efforts made by the company are to improve the management system that is prime with ISO 9001: 2008 which is an international requirement for a company's management system. PT Softex Indonesia is the first producer of sanitary napkin made in Indonesia which has obtained ISO 9001: 2008 certificate and applied it in the implementation of production activities. One way to achieve success in maintaining the quality of a product is by improving work performance in order to produce quality products. Based on this, the researchers analyzed the effect of implementing ISO 9001: 2008 on improving employee performance. The data used in this study were obtained from a questionnaire (primary) and several observations and direct interviews with parties related to employee performance. The analysis technique used is simple regression using hypothesis testing, namely F test and t test. Based on the results of the study the magnitude of the influence of the application of ISO 9001: 2008 which directly affects the improvement of employee performance. From this study, R Square value was 0.504, which means that 50.4% of employee performance improvement variables can be explained by its independent variables, namely ISO 9001: 2008, while the remaining 49.3% is explained by other variables outside of this study.]]>
