The Journal of System Engineering and Technological Innovation
Mechanical Engineering: Energy : Energy Conversion, Energy Conservation, Renewable Energy, Energy Technology, Energy Management. Mechanical : Applied Mechanics, Automobiles and Automotive Engineering, Tribology, Biomechanics, Dynamic and Vibration, Mechanical System Design, Mechatronics. Material : Material Science, Composite and Smart Material, Micro and Nano Engineering, Powder Metallurgy. Manufacturing : Advanced Manufacturing Techniques, Automation in Manufacturing, Modelling, and Optimization of Manufacturing Processes. Informatic Engineering: Intelligent Systems : Artificial Intelligence, Data mining, Operation Research, Decision Support System, AI for Game, Declarative Programming Soft Computing, Intelligent Information Retrieval, and Pattern Recognition Computer Networks. Applied Network Technology : Local Area Network (LAN), Wide Area Network (WAN), Internet Programming, dan Wireless Programming. Multimedia Computing : Image Processing, Graphics, Mobile Computing, Mobile application development and Multimedia Technology. Enterprise Information System : Theory of Computation, Web Technology, Soft Computing, Web Data Management, Software Quality Testing, Cloud and Big Data, Computer Vision, Information Retrieval, Augmented and Virtual Reality. Industrial Engineering: Operational Research : Accounting and Finance, Distribution and Marketing, Construction Management, Production Operations and Exploration. Industrial Management : operations management, marketing, and financial management Work System Design and Ergonomics : Physical ergonomic, Cognitive ergonomic, Organizational ergonomic, design, repair and installation of a system. Manufacturing Systems : Production Systems, Systems Modeling, and Production Planning and Control.
Articles
39 Documents
<![CDATA[Penerapan Lean Manufacturing dengan Metode Value Stream Mapping (VSM) untuk Meningkatkan Produktifitas (Studi Kasus: PT. XYZ) ]]>
<![CDATA[Noviyana, Noviyana]]>;
<![CDATA[Abdullah, M. Hasan]]>;
<![CDATA[Suwondo, Ampar Jaya]]>;
<![CDATA[Riyanto, Ong Andre Wahyu]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 01 (2024): April 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i01.74
<![CDATA[PT. XYZ mengalami masalah dalam hal efisiensi dan efektivitas produksi, yang dapat berdampak pada kualitas produk dan kepuasan pelanggan. PT. XYZ merupakan perusahaan yang bergerak di bidang produksi speaker. Assembly Line 1 merupakan unit yang memproduksi salah satu komponen yang terdiri dari beberapa work station dimana terjadi waste. Tujuan penelitian ini adalah untuk mengindentifikasi waste dan meningkatkan produktivitas dengan pendekatan Lean Manufacturing dan metode Value Stream Mapping (VSM) sebagai tool. Penelitian ini menggunakan pendekatan kuantitatif. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi. Hasil penelitian akan ditunjukkan melalui analisis sebelum dan setelah penerapan Lean Manufacturing. Sehingga akan terlihat hasil peningkatan produktifitas yang diharapkan. Adapun Manufacturing Lead Time aktual sebesar 14.415 detik, setara dengan 4 jam dan Process Cycle Efficiency aktual sebesar 30,35 %. Setelah dilakukan perbaikan nilai Manufacturing Lead Time mengalami penurunan menjadi 9.875 detik setara dengan 2,75 jam dan Process Cycle Efficiency mengalami peningkatan menjadi 44,30 %.]]>
<![CDATA[Rancang Bangun Prototipe Automated Guided Vehicle (AGV) Pada Proses Material Handling Dengan Metode Quality Function Deployment (QFD) ]]>
<![CDATA[Kusuma, Djati]]>;
<![CDATA[Purnamayudhia, Onny]]>;
<![CDATA[Subaderi, Subaderi]]>;
<![CDATA[Hariyanto, Krisnadhi]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 01 (2024): April 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i01.75
<![CDATA[Automated Guided Vehicle (AGV) merupakan sebuah robot otonom yang secara luas digunakan di industri moderen. AGV sering digunakan sebagai alat pemindah barang. Tingkat akurasi dan keamanan yang tinggi serta biaya operasional dan perawatan yang rendah merupakan beberapa alasan penggunaan AGV di industri. Penelitian ini bertujuan untuk merancang sistem mekanik dan merancang sistem navigasi pada prototipe AGV. Metode QFD (Quality Function Deployment) digunakan untuk mengetahui prioritas karakteristik teknis berdasarkan kepuasan dan kepentingan pelanggan yang diperoleh dari hasil kuesioner. Berdasarkan matriks HOQ (House of Quality), diketahui terdapat 4 dimensi kualitas beserta bobotnya yaitu; fungsi (4.10), ergonomi (4.20), keandalan (3.77) dan estetika (4.13). Selain itu terdapat 8 technical requirement untuk memenuhi dimensi tersebut. Prototipe yang dihasilkan mempunyai navigasi terdiri dari sensor magnetik, sensor penghalang infrared dan rotary encoder. Sistem penggerak menggunakan motor DC dan motor servo dengan rangkaian pengendali arduino. Prototipe juga dilengkapi dengan sistem tenaga baterai yang mampu bertahan selama 3 jam dan mampu mengangkut beban hingga 25kg. Proses pengujian sistem dilakukan dengan menguji fungsionalitas dari setiap komponen penyusun AGV secara terpisah. Hasil pengujian menunjukkan bahwa sistem mekanik dan elektronik AGV bekerja sesuai dengan rancangan.]]>
<![CDATA[Design And Construction Of A Dodol Dough Mixing Machine With An Electric Motor Drive With A Capacity Of 10 Kg ]]>
<![CDATA[Kahfi, Syahri Ashabul]]>;
<![CDATA[Siswadi, Siswadi]]>;
<![CDATA[Riyadi, Slamet]]>;
<![CDATA[Nugroho, Wahyu]]>;
<![CDATA[Nugroho, Alfi]]>;
<![CDATA[Muchid, Mochamad]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.98
<![CDATA[The process of cooking dodol dough requires the energy of several people to stir continuously until the dough produces air bubbles. Making dodol generally takes time depending on how much dough you want to cook. If we cook 10 kg of dodol dough, the time needed to cook it is approximately 10-12 hours with medium or normal heat. Currently, the household-scale dodol industry still uses manual methods for the dodol mixing process, which will require more than one person to stir for a long time, so it will take time for one repetitive job and production costs will be higher. This activity aims to create appropriate technology in the form of a dodol mixer machine. With this dodol mixer machine, it is expected to be able to produce optimal dodol dough and can increase production capacity. The method used in this activity is the selection and calculation of the components of the designed tool, the creation of a dodol mixer machine design, and continued with a demonstration of the performance of the dodol mixer machine. The result of this activity is the design of a dodol mixer machine. With a 1/2 Hp motor power, this dodol mixer machine can produce 10 kg/hour with multifunction.]]>
<![CDATA[Pemilihan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Website di PT Trans XYZ ]]>
<![CDATA[Widhiyanta, Nurwahyudi]]>;
<![CDATA[Tallo, Octavianus Ongki]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.99
<![CDATA[Pemilihan karyawan terbaik merupakan salah satu tugas penting dalam manajemen SDM. Hal ini diharapkan dapat menentukan ukuran kinerja yang representatif dan dapat meningkatkan semangat karyawan dalam melaksanakan pekerjaannya. PT. Trans XYZ sebulan sekali memilih karyawan terbaik, di mana karyawan terpilih akan mendapatkan hadiah. Kriteria yang digunakan perusahaan untuk memilih karyawan terbaik adalah skill, absensi, ketertiban, tanggung jawab, kerja sama dan kreatifitas. Untuk membantu perusahaan menentukan karyawan terbaik setiap bulannya, kami bertujuan untuk membuat aplikasi yang dapat digunakan untuk menghitung nilai semua karyawan secara otomatis. Metode yang digunakan dalam memilih karyawan terbaik adalah Simple Additive Weighting (SAW). Hasil dari penelitian ini adalah aplikasi dapat menghitung nilai setiap karyawan dengan kriteria yang telah ditentukan dan menentukan karyawan terbaik]]>
<![CDATA[Design And Construction Of Small Scale Plastic Injection Molding Machine Using High-Density Polyethylene (HDPE) Material ]]>
<![CDATA[Hau, Fikarahman Putra]]>;
<![CDATA[Muharom, Muharom]]>;
<![CDATA[Setyono, Gatot]]>;
<![CDATA[Khusna, Dwi]]>;
<![CDATA[Kholili, Navik]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.100
<![CDATA[Injection molding has become a significant manufacturing technique in producing complex polymer components. Its molding efficiency depends on various process and machine parameters, which determine the quality of the final product in terms of various output responses. It is important to state that proper optimization of different input parameters is essential to achieve the desired quality index. This article presents a review of various techniques used so far to optimize various injection molding parameters, along with their advantages and limitations. It is found in the review that a brilliant technique that can be operated without human intervention has not been developed. The design of the injection machine uses a small scale between 75 gr to 150 gr with a heating variation ranging from 200 0C to 250 0C. When testing the tool, it showed that to achieve the optimal final result of a product, it takes 228 seconds at a hot temperature of 200 0C; if the temperature is increased to 225 0C, it takes 217 seconds, and if it is increased to 250 0C, it takes a shorter time of 208 seconds.]]>
<![CDATA[Penerapan Algoritma Apriori Untuk Rekomendasi Produk Pada Situs Penjualan Toko ABC ]]>
<![CDATA[Muhandhis, Isnaini]]>;
<![CDATA[Ramadhani, Muhammad Zulfan]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.102
<![CDATA[Penelitian ini bertujuan untuk memberi fitur rekomendasi produk menggunakan algoritma apriori pada situs penjualan Toko ABC. Manfaat dari fitur rekomendasi adalah untuk memberikan saran produk kepada pembeli berdasarkan produk yang sering dibeli oleh pembeli lain. Metode yang digunakan adalah algoritma apriori. Algoritma Apriori dipilih karena kemampuannya yang terbukti efektif dalam mengidentifikasi pola pembelian pada data transaksi yang besar. Hasil implementasi algoritma apriori dalam penelitian ini menghasilkan nilai 25% support untuk tiga item set dari pembelian produk. Berdasarkan perhitungan algoritma apriori, produk yang saling terkait adalah Kopiko Coffe Caramel, Kusuka Keripik Singkong Ayam Seaweed, Sari Roti Roti Tawar Double Soft dengan nilai support 25%. Penerapan ini dapat memberikan informasi agar strategi penjualan menjadi lebih terarah dengan menargetkan produk yang tepat kepada pelanggan yang tepat.]]>
<![CDATA[Studi Eksperimental Pengaruh Massa Pemberat Pada Sistem Penggerak Mekanisme Pembangkit Listrik Tenaga Oscillating Water Column ]]>
<![CDATA[Arya, Rizky Nur]]>;
<![CDATA[Arifin, Ahmad Anas]]>;
<![CDATA[Ulum, Miftahul]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.108
<![CDATA[The demand for electrical power is increasing, and with the depletion of fossil fuel reserves, there are numerous opportunities to explore alternative energy sources. Ocean waves have emerged as a promising renewable energy option, particularly in developed nations. Given Indonesia's geography as an archipelagic country with numerous beaches, it is well positioned to harness the potential of ocean wave power plants. Among the various ocean wave power plant designs, the oscillating water column system stands out for its ease of implementation and minimal access requirements. This system operates by capturing the air pressure generated by ocean waves reaching the coast. A study was conducted to experiment with a prototype power generation mechanism that serves as both a pressure generator and a substitute for artificial waves in the oscillating water column power plant system. The objective of this study was to investigate the impact of varying ballast masses on pressure and power generation. The test results revealed that the minimum pressure and power output were recorded with a ballast mass of 0 kg, yielding a pressure of 214.62 N and a power output of 8.811 J/s. Conversely, the maximum compressive force and power output were achieved with a ballast mass of 2 kg, resulting in a compressive force of 235.2 N and a compressive power of 15.755 J/s. The highest efficiency was observed with a ballast mass of 2 kg, yielding an efficiency of 45%.]]>
<![CDATA[Improving Food & Beverage Industry Performance With Performance Prism And AHP (Analytical Hierarchy Process) Method In The Era Of Digital Transformation ]]>
<![CDATA[Andika, Arby]]>;
<![CDATA[Octavia, Chendrasari Sari]]>;
<![CDATA[Dewi, Fitriya Gemala]]>;
<![CDATA[Subaderi, Subaderi]]>;
<![CDATA[Hariyanto, Krisnadi]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.109
<![CDATA[MSMEs in the food and beverage industry are one of the leading sectors in Surabaya. MSMEs in the food and beverage industry still experience many difficulties in their development, especially in marketing, there is also the use of technology, lack of innovation, and low quality of human resources. Other obstacles often faced by MSMEs that are members of consumer cooperatives are marketing, many competitors and maintaining existing markets. In addition, MSME owners also pay less attention to marketing strategies and maintaining customer relationships. The quality of service in this case is closely related to sales which have a reference to the performance of the MSME. Problem identification in this study is the unknown improvements to improve the performance of MSMEs, the unknown most effective way to improve stakeholder satisfaction and the unknown strategies that must be carried out, the processes needed to achieve these goals, and the capabilities that must be prepared to implement them in order to achieve the target. Measuring the performance of food and beverage MSMEs by identifying KPIs (Key Performance Indicators) and the performance prism method consists of five perspectives, satisfaction, contribution, strategy, process, and capability. The results of the study were obtained based on the processing of key performance indicators (Key Performance Indicators, KPI) with the highest weighting value from each stakeholder . The KPI with the highest weighting will be applied to the proposed improvements. By making improvements to these indicators, it is expected to improve the performance of MSMEs in the future.]]>
<![CDATA[Improving The Quality Of Steel Plate Finishing Process Using Six Sigma, FMEA, And QFD Methods ]]>
<![CDATA[Novantoro, Irwan]]>;
<![CDATA[Abdullah, M. Hasan]]>;
<![CDATA[Riyanto, Ong Andre Wahyu]]>;
<![CDATA[Purnamayudhia, Onny]]>;
<![CDATA[Hindratmo, Astria]]>;
<![CDATA[Suwondo, Ampar Jaya]]>
<![CDATA[ Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Wijaya Putra University ]]>
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DOI: 10.38156/jisti.v3i02.110
<![CDATA[XYZ is a manufacturing company engaged in the hot rolled steel plate rolling mill industry. The results of the finishing production report show that the finishing line process has the highest proportion of defects compared to gas cutting plates ( flare cutting ). This study identifies the causes and solutions for repairing defects in the finishing line using the Six Sigma and FMEA-QFD methods. Based on the initial calculation results, it was obtained that the sigma level and DPMO value were 3.28 and 37,821. From the results of the Pareto diagram, there are five types of defects, namely chamber, BC (bad cutting), BE (bad edge), handling, and OOS (out of square) . The dominant type of defect is the chamber with a percentage of 31.9%. Factors causing defects include operator fatigue, lack of discipline, poor lighting, less than optimal maintenance, knife quality, worn sideguards , and materials. The results of the FMEA analysis show three priorities for proposed improvements, namely, improving operator supervision and SOPs, developing sideguard designs , and knife replacement standards. The development of the sideguard design uses the QFD method, which produces specifications in the form of integrated roll with a distance of 600mm, sideguard dimensions of 6096x200 millimeters with a thickness of 16mm, and made of ASTM A36 steel. The improvements made showed a more stable process with a decreasing number of chamber defects and increasing the Sigma Level value to 3.4 .]]>
