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Analisis Quality Control Produksi Ikan Tongkol Asap Menggunakan Metode Six Sigma Pendekatan DMAIC Putra, Anggara Ido Hariyanto; Yusianto, Rindra
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 2 (2025): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

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Abstract

Competition among MSMEs is getting tighter, and product quality is key. MSMEs of Smoked Tuna Fish face the problem of defective products that result in losses. This study aims to identify the causes of defects and design risk control strategies. The DMAIC (Define, Measure, Analyze, Improve, Control) method is used as a data-based approach according to the Lean Manufacturing concept. The Six Sigma level is an indicator of production quality, the lower the sigma, the greater the potential for failure, while the higher the sigma, the smaller the possibility of product failure. The results of the study, it is known that the biggest risk in the production process of MSMEs of Smoked Tuna Fish shows the biggest defect is uneven/unripe color (39.60%). For 16 weeks, the average production Sigma level was 4.19. Defects are caused by material, human, machine, and method factors, such as wet coconut shells, high water content, lack of skills, SOPs, and limited tools. Proposed improvements include the use of dry coconut shells, drying fish, worker training, improving tools with optimal smoke circulation, and standardizing SOPs to maintain quality consistency.
Analisis Overall Equipment Effectiveness (OEE) pada Mesin Single-Line di PT. ZYX Srikandi, Indah; Yusianto, Rindra
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2370

Abstract

In the manufacturing sector, particularly in the food industry, continuous improvement is essential to ensure smooth production processes. Production machines play a key role in maintaining this continuity. However, disruptions in the process can lead to downtime and financial losses for the company. This study aims to analyze the effectiveness of machines, especially single-line machines, in reducing downtime in the powdered beverage packaging process at PT. ZYX. Data collection methods include observation, interviews, and literature review. The Overall Equipment Effectiveness (OEE) method is used to assess machine effectiveness. Data processing involves calculating availability, performance, and quality using specific formulas. The results show that the OEE value for the single-line packaging machine at point 6 is 85.7%, while at point 7 it is 79.32%. Compared to the international OEE standard of 85%, the machine at point 7 still requires improvement, particularly in the performance aspect. Therefore, improvements in various areas that potentially lower performance, as illustrated in the fishbone diagram, are needed to increase the OEE value. Keywords: Downtime, Effectiveness, OEE, Single-line machine
DESIGN OF IOT AND ONION AGRICULTURE DATABASE USING BPR LIFE CYCLE Thifaal, Nisrina Salwa; Alzami, Farrikh; Steven, Alvin; Yusianto, Rindra; Saputra, Filmada Ocky; Sartika, Mila; Andono, Pulung Nurtantio; Wahyudi, Firman
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 1 (2023): APRIL
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.824 KB) | DOI: 10.32832/moneter.v11i1.54

Abstract

One of the food commodities produced by the agricultural sector with high economic value is red onion. As the population of Indonesia increases, the need for red oniom has also increased. The level of red onion production from year to year is also increasing. Especially the central Java area as the largest red onion producing center in 2021. Therefore, the amount of red onion production needs to be maintained and increased by monitoring overall land conditions. Such as weather conditions, air, temperature, and humidity. A sensor to detect these factors is already available but there is no database to accommodate the data from the sensor. The purpose of this research is to produce a Business Process Model and Notation (BPMN) of red onion surveillance system on Internet of Things (IoT) based farmland. The stages carried out are by collecting data related to the research and analyzing business processes using the Business Process Reengineering Life Cycle (BPR) method. This method improves business processes to become more efficient and renewable. This research produces a database design to accommodate incoming data from Internet of Things sensors. Things (IoT) on red onion farming.
Inovasi Penyiraman Bibit Pinus Berbasis Kelembaban Tanah Menggunakan Microcontroller Berbasis Arduino Untuk Meminimalisir Kematian Bibit (Studi Kasus PT.XYZ) Setya Putra, Danang; Yusianto, Rindra
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v7i2.6606

Abstract

Irregular watering at the nursery stage is often the cause of death of Pinus merkusii seedlings. This study aims to design and test an Arduino-based automatic watering system with a soil moisture sensor to maintain optimal humidity in the polybag planting medium of pine seedlings. The study was conducted through an experimental method with direct testing using seedling samples. The system is designed to activate the water pump when soil moisture drops below 60% and stop watering when humidity reaches 70%, with real-time monitoring via sensors. Humidity data was taken every 1 hour for 10 hours of testing. The test results showed that the system was able to maintain soil moisture within the ideal range, provide the right watering response, and was effective in reducing the burden of labor. The recommendation from this study is the development of a system using Arduino as a controller to optimize seedling watering more efficiently, evenly, and measurably in order to minimize seedling mortality.
Model Regresi Linier Sederhana untuk Timbulan Sampah pada 14 Kecamatan di Kabupaten Rembang misbakhul, muhammad; Yusianto, Rindra
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

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Abstract

Waste has become a complex and global issue, faced by countries around the world, including Indonesia, regardless of their developmental status. The increasing population in Rembang Regency each year results in a rise in waste production. Since the increase in waste volume is not proportional to consumption, it is necessary to categorize and predict the amount of waste generated across 14 sub-districts. The simple linear regression method has shown good predictive capabilities.The objective of this research is to study the concepts, analyze waste management, develop linear regression models, and evaluate waste generation results. Evaluation results for estimation indicate that the first rank is in Rembang Sub-district with a waste generation amount of 68,398 tons and an increase of 1,063 tons over five years. The second rank is in Sedan Sub-district with a waste generation amount of 43,690 tons and an increase of 877 tons over five years. The third rank is in Kragan Sub-district with a waste generation amount of 49,744 tons and an increase of 805 tons over five years.Based on predictions for the population and waste generation from 2024 to 2028, considering the factors of waste generation and the main factor of increased waste. In this case, the average population increase will be used to estimate the population over the next five years, leading to predictions for population and waste generation from 2024 to 2028. The top three sub-districts with the highest increases in waste are Rembang Sub-district, Sedan Sub-district, and Kragan Sub-district. Therefore, several recommendations can be provided to address the waste generation issues in Rembang Regency.
Reducing Potato Cyst Nematode Attack on Granola L. with in-Vitro and ex-Vitro G0 Seed Production Yusianto, Rindra; Marimin, Marimin
Agrium Vol 21 No 2 (2024)
Publisher : Faculty of Agriculture, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/agrium.v21i2.16455

Abstract

Potato  Cyst  Nematode/PCN (Globodera  rostochiensis) attack is  the  most  critical  risk  in  potato farming. The attack was marked by a decrease in the production of up to 60%. The objectives of this study were to reduce postharvest losses due to PCN attacks on Granola L and to compare yields from G2 and G0 seeds. This research was conducted in 5 districts (N1, N2, N3, N4, and N5) in Wonosobo Regency, Central Java, Indonesia. The method used in this study was the comparison of yields from G2 and G0 seeds in the same area, considering temperature (V1) and altitude (V2). The results showed that Granola L from G2 seeds for 100 days after planting was 15.9 tons/ha, while the results for G0 seeds in the same field increased to 12.18 tons/ha. In G2 seeds, 52 cysts/100 ml of soil were obtained, while in G0 seeds, cysts were not accepted. Combining G0 seeds in vitro and ex-vitro on Granola L can reduce PCN attacks and increase yields by up to 73%. Conducting experiments with other cultivars, such as the Atlantic and Agria, is necessary for further research.
Strategic Planning for Green Logistics Implementation in Potato Agro-Industry Rindra Yusianto; Marimin Marimin; Suprihatin Suprihatin; Hartrisari Hardjomidjojo
Jurnal Ilmiah Teknologi Pertanian Agrotechno Vol. 6 No. 1 (2021): April
Publisher : Fakultas Teknologi Pertanian, Universitas Udayana Gedung GA, Fakultas Teknologi Pertanian, Universitas Udayana Jl. Raya Bukit Jimbaran, Jimbaran, Kuta Selatan, Bali Telp/Fax: (0361) 701801

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Abstract

Indonesia adalah penghasil kentang terbesar di Asia Tenggara. Produksi tahunan rata-rata 1,09 juta ton. Begitu pula produktivitasnya masih rendah, berkisar 16,4 - 18,22 ton / ha. Penelitian ini bertujuan untuk mengusulkan perencanaan strategis Green Logistic Distribution Center (GLDC) pada agroindustri kentang dengan menggunakan Interpretative Structure Modelling (ISM). Kontribusi penelitian ini adalah kami menggunakan ISM untuk menganalisis kebijakan keberlanjutan program logistik hijau yang mencakup masalah sosial, ekonomi, dan lingkungan. Hasil penelitian menunjukkan bahwa tujuan seperti ketersediaan bahan baku (1), pemasok kentang (3), pasar (5), transportasi lalu lintas (7), faktor ekonomi (8), dan masalah lingkungan (9) meliputi keterkaitan variabel. dari sistem. Setiap tindakan terhadap tujuan tersebut akan menghasilkan program GLDC yang berhasil, sedangkan kurangnya perhatian terhadap tujuan tersebut akan menyebabkan kegagalan program. Dalam hal ini, daya penggeraknya besar tetapi memiliki sedikit ketergantungan pada program. Sementara sub-elemen tujuan lainnya dikategorikan sebagai tergantung, ini ditafsirkan lebih sebagai hasil dari tindakan obyektif lainnya. Dengan dua bentuk informasi, diagram matriks ISM dan DP-D, pendalaman program GLDC dimungkinkan untuk mendukung perencanaan strategis.
Climate Change Utilization Strategies Through the Lens of Technology: A Scientific Review Suryawijaya, Tito Wira Eka; Andono, Pulung Nurtantio; Yusianto, Rindra
Indonesian Green Technology Journal Vol. 13 No. 2 (2024)
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.igtj.2024.013.02.02

Abstract

This study sheds light on the untapped potential of AI in addressing the complex climate change challenges, simultaneously promoting energy efficiency and sustainable development. Issues such as carbon emissions and global climate shifts demand sophisticated solutions, and AI emerges as a versatile tool across various domains, including industry, renewable energy, and meteorological predictions, offering promising resolutions. The research findings unequivocally demonstrate AI's ability to optimize energy consumption, simulate solar radiation, predict severe weather conditions, and contribute to overall sustainability efforts. Despite existing challenges, such as substantial costs and data shortages, the prospects presented by AI for improving energy efficiency and embracing renewable energy sources are notably promising. The novelty of this research lies in its emphasis on AI's pivotal role in energy, meteorology, and grid management, underscoring the imperative collaborative synergy among governmental bodies, industrial players, and research institutions to drive sustainable AI innovations. This study encourages a holistic approach to harnessing AI's potential for mitigating climate change impacts and fostering a more sustainable future.
Perancangan Alat Pengering Bawang Menggunakan Metode Antropometri Harits, Hafidz; Yusianto, Rindra
Metode : Jurnal Teknik Industri Vol. 12 No. 1 (2026): Jurnal Metode
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/mt.v12i1.5226

Abstract

This study aims to design an ergonomic onion dryer using an anthropometric approach to improve operator comfort and enhance the efficiency of the drying process. Traditional onion drying methods, which heavily rely on sunlight, present several drawbacks such as weather dependence and physical fatigue due to repetitive manual activities. Anthropometric measurements were conducted on several operator body dimensions, including standing height, arm span, standing elbow height, popliteal height, eye height, shoulder height, and arm reach. The collected data were analyzed using mean, standard deviation, data adequacy tests, and uniformity tests to ensure their validity as design parameters. The results indicate that all anthropometric data meet the required criteria and are suitable for determining the optimal dimensions of the dryer. Using the 50th percentile as a reference, the resulting design accommodates most users and provides ergonomic features in terms of rack height, tool dimensions, and working reach. This onion dryer design successfully improves operator comfort and supports a more efficient drying process compared to conventional manual methods. The study offers significant contributions to the development of onion processing equipment for small and medium-scale industries.