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RE-LAYOUT SKEMATIK FASILITAS INDUSTRI PT X UNTUK MENGURANGI BACKTRACKING ALUR PRODUKSI MELALUI METODE ARC DAN ARD Febriano Wicak Masta; Herwin Suprijono
JISO : Journal of Industrial and Systems Optimization Vol. 9 No. 1 (2026): Juni 2026
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v9i1.1-10

Abstract

ABSTRAK PT X merupakan perusahaan manufaktur furnitur outdoor yang menghadapi permasalahan inefisiensi pada tata letak fasilitas produksi. Berdasarkan observasi, ditemukan alur produksi yang tidak linier dan aktivitas backtracking. Kondisi ini menyebabkan jarak perpindahan material menjadi panjang serta target produksi pada periode Februari 2025 tidak tercapai, dengan realisasi 383 unit dari target 500 unit. Penelitian ini bertujuan untuk merancang ulang (re-layout) tata letak fasilitas guna memperbaiki efisiensi aliran produksi. Metode yang digunakan dalam penelitian ini meliputi Activity Relationship Chart (ARC) untuk menganalisis tingkat hubungan aktivitas, Activity Relationship Diagram (ARD) untuk visualisasi hubungan spasial, dan Total Closeness Rating (TCR) untuk menentukan prioritas kedekatan antar departemen. Hasil penelitian menunjukkan bahwa rancangan tata letak usulan mampu memperbaiki alur produksi menjadi lebih linier dan meminimalkan backtracking, terutama pada area Polishing dan Powder Coating. Layout Usulan berdasarkan perhitungan mampu menurunkan jarak perpindahan material dari 204.32 meter menjadi 160.54 meter, atau setara dengan penghematan jarak sebesar 43.78 meter (21.42%). Efisiensi tersebut berpotensi mendukung peningkatan efektivitas operasional perusahaan. ABSTRACT  PT X is an outdoor furniture manufacturing company facing inefficiency problems in its production facility layout. Based on observations, non-linear production flows and backtracking activities were identified. These conditions caused excessive material handling distances and resulted in the failure to achieve the production target in February 2025, with actual production reaching only 383 units out of the targeted 500 units. This study aims to redesign (re-layout) the facility layout to improve production flow efficiency. The methods used in this study include Activity Relationship Chart (ARC) to analyze activity relationships, Activity Relationship Diagram (ARD) for spatial relationship visualization, and Total Closeness Rating (TCR) to determine proximity priorities between departments. The results indicate that the proposed layout design is capable of improving the production flow to become more linear and minimizing backtracking, particularly in the Polishing and Powder Coating areas. Based on the calculation results, the proposed layout is able to reduce the material handling distance from 204.32 meters to 160.54 meters, equivalent to a distance reduction of 43.78 meters (21.42%). This efficiency has the potential to support improvements in the company’s operational effectiveness.
Pengenalan Pola Lintasan Berbasis Neural Network Pada Prototype Self-Driving Car Leonardo Rudolf Manangka; Herwin Suprijono; Dedi Nurcipto
Elektrika Vol. 12 No. 2 (2020): Oktober 2020
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v12i2.2732

Abstract

Self driving cars are an interesting topic to discuss due to the high level of traffic accidents that occur due to human error. Self driving cars are vehicles that can find out about the environment with minimal human intervention. Self driving itself has many development methods such as Light Detection and Ranging (LIDAR), cameras, radars, or a combination of these sensors. This study made a prototype self-driving car using a camera as a sensor and a neural network algorithm for pattern recognition. The pattern recognition in question is the image recognition of the path taken. The data that has been taken will later be converted into a matrix with dimensions of 320x120 according to the image resolution. Then the data will be trained to recognize the path pattern with the proportion of 7: 3 for training accuracy and validation accuracy. The resulting prediction has an accuracy of 76.86% for training accuracy and 75.24% for validation accuracy.
Perancangan Sistem Autentikasi Pengguna dan Monitoring Kelistrikan CNC Router G-Weike WK1212 Berbasis Internet of Thing (IoT) Herwin Suprijono; Helmy Rahadian; Nur Islahudin
Elektrika Vol. 15 No. 2 (2023): October 2023
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v15i2.8005

Abstract

Internet of Thing (IoT) technology is able to manage devices to collect and exchange data over the internet network. IoT is one of the keys to implementing Industry 4.0 in various sectors such as manufacturing, transportation and even education. IoT can be utilized for laboratory device management. The Production Systems Laboratory, Faculty of Engineering, Dian Nuswantoro University has CNC-based machines such as a CNC router machine with the G-Eike brand type WK1212. Through the implementation of IoT, user data, operational time, and electricity such as voltage and current while the CNC machine is operating can be sent and stored on a database server. Furthermore, analysis of the data is carried out for various purposes such as predicting machine maintenance schedules. The results of the research that has been carried out regarding the design of user authentication systems and electrical monitoring of the CNC machine have been tested with good results in extracting the required data via IoT to then be used in predicting machine maintenance. It is known from the test results that the user (student) authentication system can be carried out by inputting a username and password based on student data registered by the laboratory assistant. Electrical data (voltage, current, power, energy, frequency and power factor) is successfully sent from the control panel periodically every 10 seconds to the broker. The broker managed to save the data received into the MySQL database.  Keywords: Internet of Thing, CNC Router, G-Weike WK1212, Autentikasi, Monitoring. ABSTRAK  Teknologi Internet of Thing (IoT) mampu mengelola perangkat untuk mengumpulkan serta bertukar data melalui jaringan internet. IoT menjadi salah satu kunci dalam penerapan industri 4.0 di berbagai sektor seperti manufaktur, transportasi, dan bahkan pendidikan. IoT dapat dimanfaatkan untuk manajemen perangkat laboratorium. Laboratorium Sistem Produksi Fakultas Teknik Universitas Dian Nuswantoro memiliki mesin-mesin berbasis CNC seperti mesin CNC router dengan Merk G-Eike tipe WK1212. Melalui penerapan IoT maka data pengguna, waktu operasional, dan kelistrikan seperti tegangan dan arus selama mesin CNC beroperasi dapat dikirim dan disimpan pada server basis data. Selanjutnya, analisis terhadap data tersebut dilakukan untuk berbagai keperluan seperti memprediksikan jadwal pemeliharaan mesin. Hasil dari penelitian yang telah dilakukan terkait perancangan sistem autentikasi pengguna dan monitoring kelistrikan mesin CNC tersebut telah diuji dengan hasil yang baik dalam menarik data-data yang dibutuhkan melalui IoT untuk kemudian dapat dimanfaatkan dalam prediksi pemeliharaan mesin. Diketahui dari hasil uji tersebut sistem autentikasi pengguna (mahasiswa) mampu dilakukan melalui input username dan password berdasarkan data mahasiswa yang didaftarkan oleh asisten laboratorium. Data kelistrikan (tegangan, arus, power, energi, frekuensi dan power factor) berhasil dikirim dari kontrol panel secara periodik tiap 10 detik ke broker. Broker berhasil menyimpan data yang diterima ke dalam database MySQL.