Garuda - Garba Rujukan Digital

APLIKASI SIX SIGMA UNTUK MENGANALISIS FAKTORFAKTOR PENYEBAB KECACATAN PRODUK CRUMB RUBBER SIR 20 PADA PT. XYZ Ivan Vitho; Elisabeth Ginting; Anizar Anizar
Jurnal Teknik Industri USU Vol 3, No 4 (2013): Jurnal Teknik Industri USU
Publisher : Departemen Teknik Industri Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.244 KB)

PT. XYZ bergerak dalam bidang industri pengolahan karet dengan bahan bakuberupa getah pohon karet dan menghasilkan bahan setengah jadi yaitu crumb rubber.Kenyataan di lapangan masih ditemukan banyak produk cacat hingga bisa mencapaiangka 20% pada akhir proses produksi. Ini mengakibatkan perusahaan mengalamikerugiaan. Oleh karena itu perlu dilakukan penelitian untuk menganalisis faktor-faktordominan penyebab kecacatan produk crumb rubber SIR 20 dengan menggunakan metodeDMAIC (define, measure, analyze, improve and control) Six Sigma. Hasil penelitianmenunjukkan faktor dominan penyebab kecacatan adalah faktor kadar PRI. Dari hasilFMEA (Failure Mode and Effect Analysis) didapat penyebab kecacatan bahan bakuberkualitas rendah adalah karena banyak mengandung kotoran (remah kayu, tanah danlainnya), proses pencucian kurang bersih karena menggunakan air yang kotor serta prosespenjemuran dan pengeringan kurang baik dengan waktu yang relatif cepat (kurang dari 7hari). Usulan perbaikan untuk mengatasi permasalahan yang ada pada lantai produksiadalah melakukan seleksi bahan baku yang ketat dengan memperhatikan tingkat kotoranyang terkandung pada bahan baku, melakukan pencucian dengan menggunakan air yangbersih, melakukan proses penjemuran yang sempurna yaitu selama 7 sampai 12 hari, danpemeriksaan secara berkala pada mesin. Kesadaran dan peningkatan komitmen pekerjauntuk melaksanakan tugas dengan sebaik–baiknya merupakan tindakan mendasar yangharus dibangun.

Model Pembelajaran Guided Teaching untuk Meningkatkan Partisipasi Belajar dan Hasil Belajar IPS Siswa Kelas VI Anizar Anizar
Jurnal EDUCATIO: Jurnal Pendidikan Indonesia Vol 2, No 1 (2016): Jurnal EDUCATIO: Jurnal Pendidikan Indonesia
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/12016230

The lack of participation in learning Social subject of the sixth grade students at SDN 27 Lubuk Alung gave effect on their low learning achievement. This research was aimed to improve the participation in learning and learning achievement of the sixth grade students at SDN 27 Lubuk Alung by implementing the Guided Teaching learning model. Kind of participations concerned with are participation in proposing ideas, participation in answering the teachers’ questions, and participation in asking questions to teacher. Data of research were obtained through observation and post test and were analyzed quantitatively and qualitatively. In cycle I, percentage of students’ participation in proposing ideas is 34,37% and becomes 78,12% in cycle II. Percentage of students’ participation in answering teachers’ questions is 37,49% in cycle I and becomes 81,25% in cycle II. Percentage of students’ participation in asking questions to teacher is 26,16% in cycle I and becomes 75% in cycle II. In cycle I, percentage of students’ learning achievement is 46,87℅ and becomes 87,5℅ in cycle II. The result shows that implementation of Guided Teaching model can improve participation in learning and learning achievement.

Integrated Value Engineering with QFD and DFA as Product Design and Development Techniques: Literature Review Handa Rivaldi Husal; Rosnani Ginting; Anizar Anizar
Jurnal Sistem Teknik Industri Vol. 26 No. 1 (2024): JSTI Volume 26 Number 1 January 2024
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v26i1.11901

Value engineering is an organized, rigorous strategy that assesses the performance, noise, quality, safety, and compatibility of systems, outfits, installations, services, and inventories to deliver necessary functionalities at the lowest life cycle cost. Eliminating unnecessary expenses from design, testing, production, operations, procedures, accounting, conservation, and other areas is the best course of action. The purpose of the paper's initial investigation was to list the drawbacks of value engineering in product creation. These transgressions highlight the necessity for alternative methods when implementing value engineering techniques. To address critical inverse issues throughout the process, from the stage of product demand analysis to product design, product, and operation, value engineering is combined with various engineering methods. The results demonstrate that there are distinct paths in which the benefit of integration engineering using QFD or DFA may be used. Even so, this integration is providing a better option for the planning of products or services through a process that not only means providing a better value for client satisfaction but also lowers expenses, shortening development times, and reducing the need for rework conditionsâ€”all without compromising performance, reducing anxiety, or lowering the quality of the final product.

Assessing Work System Processes Using Macroergonomic Analysis and Design Approach: A Literature Review Fadhilah, Nahdah; Abdul Rahim Matondang; Anizar Anizar
Jurnal Sistem Teknik Industri Vol. 26 No. 1 (2024): JSTI Volume 26 Number 1 January 2024
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v26i1.12878

This study's goal is to provide an overview of the macroergonomics approach, which is used to evaluate work systems and make improvements to working conditions and efficiency. A process for the system evaluation was developed using the pertinent framework, Macroergonomic Analysis and Design (MEAD). Using the MEAD framework, the system may be assessed more completely overall, and any conflicts can be resolved to fully harmonize the system. A thematic analysis of papers addressing macroergonomic analysis and design (MEAD) is the methodology used in this study. To successfully complete a research project using this methodology, ten steps must be followed. The ten steps are as follows: examining the subsystem of organizational and environmental design; identifying the type of manufacturing system and establishing performance benchmarks; outlining work procedures and unit operations; detecting variances; generating the matrix of variances; establishing the role network and key variance control table; allocating functions and designing jointly; recognizing the views of roles and responsibilities; creating and modifying interfaces and supporting subsystems; putting into practice, refining, and upgrading.

Analisis Beban Kerja terhadap Kinerja Karyawan Melalui Stres Kerja Sebagai Variabel Intervening pada PT Bank Sumut Cabang Stabat Syafa Davy Baihaqi Saragih; Yeni Absah; Anizar Anizar
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 6 No. 8 (2024): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v6i8.3523

This research aims to analyze the influence of workload variable on employee performance through work stress as an intervening variable at PT Bank Sumut of Stabat Branch. This study was used a quantitative method with the census method as a sampling technique and the structural equation model (SEM) method as a data analysis technique. The population in this study was 57 which the entire population was the sample. The data collection method used a questionnaire and data analysis was assisted by SmartPls 4. Based on the analysis, it was found that workload had a negative and insignificant effect on employee performance with T-Statistic value of 1.3467 and p-value of 0.178. The workload has a positive and significant effect on work stress with T-Statistic value of 2.771 and p-value of 0.006. The work stress has a positive and significant effect on employee performance with T-Statistic of 2.427 and p-value of 0.015. The workload has a positive and significant effect on employee performance through work stress with T-Statistic value of 2.585 and p-value of 0.010.

Pengaruh Kompensasi dan Beban Kerja Terhadap Intention to Quit Karyawan dengan Produktivitas Sebagai Variabel Intervening pada PT. Arta Boga Cemerlang: Unit Depo Medan Anggi Ardiansyah; Iskandarini; Anizar Anizar
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 6 No. 2 (2025): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v6i2.6243

This study aims to analyze the effects of compensation and workload on employees' intention to quit, with productivity as an intervening variable, at PT. Arta Boga Cemerlang (Medan Unit). A quantitative method was employed, collecting data via questionnaires distributed to 56 respondents. Data were analyzed using the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). The results indicate that compensation has a significant negative effect on intention to quit, while workload has a significant positive effect. Employee productivity was found to mediate the relationship between compensation and intention to quit, as well as between workload and intention to quit. This research provides practical recommendations for company management to effectively manage compensation and workload to enhance productivity and reduce employee intention to quit levels.

Pengaruh Kompensasi dan Beban Kerja Terhadap Intention to Quit Karyawan dengan Produktivitas Sebagai Variabel Intervening pada PT. Arta Boga Cemerlang: Unit Depo Medan Anggi Ardiansyah; Iskandarini; Anizar Anizar
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 6 No. 2 (2025): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v6i2.6243

This study aims to analyze the effects of compensation and workload on employees' intention to quit, with productivity as an intervening variable, at PT. Arta Boga Cemerlang (Medan Unit). A quantitative method was employed, collecting data via questionnaires distributed to 56 respondents. Data were analyzed using the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS). The results indicate that compensation has a significant negative effect on intention to quit, while workload has a significant positive effect. Employee productivity was found to mediate the relationship between compensation and intention to quit, as well as between workload and intention to quit. This research provides practical recommendations for company management to effectively manage compensation and workload to enhance productivity and reduce employee intention to quit levels.

Production Process Quality Inspection with Machine Learning Approach Ari Pradana; Nazaruddin Matondang; Anizar Anizar
Jurnal Sistem Teknik Industri Vol. 27 No. 4 (2025): JSTI Volume 27 Number 4 September 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i4.21005

Technological developments in the industrial world encourage innovation in the inspection process, one of which is the application of artificial intelligence with machine learning. CV. XYZ is a palm oil machine component fabrication workshop that still applies manual quality inspection. Manual inspections are prone to errors, depend on human skills, and take a long time. This research aims to develop an automated inspection system using the YOLO (You Only Look Once) model which is a convolutional neural network (CNN) based algorithm for product defect detection. The manual inspection used is considered inconsistent, error-prone, and time-consuming. The use of machine learning is able to identify product defects such as geometry defect, porous defect, and surface defect. Evaluation of model performance using confusion matrix, loss graph, and precision recall curve. The results obtained show that the model has detection accuracy with a mAP50-95 value of 74.5%, mAP50 of 88.5%, and detection time of 0.0084 seconds per image.

Title

Found 8 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 8 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 8 Documents
Search