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Daily Container Volume Throughput Forecasting at Container Terminal Using Long-Short Term Memory (LSTM) Recurrent Neural Network Kasanah, Yulinda Uswatun; Miftahol Arifin; Famila Dwi Winati; Fatbayani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2214

Abstract

Container throughput is an important indicator for measuring the efficiency of a kontainer terminal. Kontainers that enter and exit are those transported to and from the terminal, respectively. Kontainers are stacked in the kontainer yard before they leave the terminal. Handling these kontainers accounts for a major workload at the terminal. Therefore, accurate short-term forecasting of daily kontainer gate-in and Gate-Out at a kontainer terminal is crucial for operational planning. While most forecasts are made at the strategic level of overall kontainer throughput, this study focuses on the daily kontainer gate-in and Gate-Out quantities with a case study at the TPKNM Makassar Kontainer Terminal. The study results show that the Epoch for each training set and performance metrics for each feature are 10, 50, and 100. Based on this, the difference in prediction performance with different epoch sizes is quite significant. The larger the Epoch, the smaller the MSE level.
Bahasa Inggris Kasanah, Yulinda Uswatun; Hidayatuloh, Syarif; Qisthani, Nabila Noor
JURNAL INFOTEL Vol 16 No 2 (2024): May 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i2.1130

Abstract

Handling the distribution of broilers has special attention. The distribution of poultry should be done in the shortest possible time to decrease broiler mortality rate. Real-time monitoring of poultry distribution is expected to control the stress level of poultry due to the length of travel time by limiting the delivery time window. In order to control the distribution time and distance, it is necessary to integrate vehicle routing and mobile technology. By adopting the digital twin-enabled framework model and combining it with Google APIs, web and mobile applications are generated to accommodate the real-time traveling time, vehicle capacity, and pickup-delivery activity. There is a significant change in travel distance in one delivery cycle after implementing the developed technology. The total travel distance was 493 KM decreased to 436 KM, which means a decrease of 11.5% from the initial total travel distance. In addition, there was a change in the total penalty time (delay) from 102 minutes to 85 minutes, decreasing delay time by 16.6%. This mobile technology's development can indirectly increase vehicle utilization by not overloading the vehicle capacity and reducing vehicle travel distance.
Enhancing layer farm MSMEs productivity through egg grading machines and stainless cage mats Yulinda Uswatun Kasanah; Syarif Hidayatuloh; Aulia Desy Nur Utomo
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 10 No. 3 (2025): August 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v10i3.15134

Abstract

Poultry and egg farming SMEs must be empowered to enhance egg and chicken production through the development of egg-sorting equipment and tools aimed at reducing egg defects. This initiative seeks to improve the performance of micro, small, and medium enterprises (MSMEs) in the poultry sector. The implementation of sorting tools significantly alleviates the operational burden on livestock in MSMEs by accelerating the sorting process, which in turn facilitates faster product shipments. Over the long term, this can lead to a decrease in the number of sorting employees required and helps minimize egg breakage during harvesting. Moreover, the introduction of curved stainless steel cage bottoms significantly enhances egg production capacity. This innovation leads to an average reduction of 54 percent in the number of defective eggs during harvesting. Furthermore, sorting time sees an impressive average decrease of 28 percent. Currently, the average sorting time for an egg is 31.42 seconds, but with the implementation of the Automatic Egg Sorter Tool, this time is reduced to 22.6 seconds per egg, reflecting a marked improvement in efficiency.
Implementasi Sistem Single Minutes Exchange of Dies untuk Perbaikan Setup Time pada Perusahaan Otomotif Yulinda Uswatun Kasanah; Pratya Poeri Suryadhini
Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Vol. 4 No. 3 (2026): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/factory.v4i3.1407

Abstract

Efisiensi proses setup merupakan faktor krusial dalam meningkatkan produktivitas dan fleksibilitas sistem produksi, terutama pada industri otomotif yang memiliki kebutuhan responsivitas tinggi terhadap variasi permintaan. Penelitian ini bertujuan untuk menganalisis dan mengurangi setup time pada workstation curing melalui penerapan metode Single Minute Exchange of Die (SMED). Metode penelitian meliputi pengamatan langsung, time study, analisis aktivitas internal dan eksternal, serta identifikasi pemborosan menggunakan prinsip lean manufacturing. Setelah kondisi eksisting dipetakan, langkah-langkah SMED diterapkan, termasuk pemisahan aktivitas internal–eksternal, konversi aktivitas internal menjadi eksternal, serta penyederhanaan dan standardisasi proses setup. Hasil penelitian menunjukkan bahwa implementasi SMED mampu mereduksi internal setup time sebesar 128,48 menit dan external setup time sebesar 3,08 menit. Reduksi signifikan diperoleh melalui konversi aktivitas seperti green tire setup dan melakukan proses pemanasan mold awal, serta persiapan peralatan yang berkontribusi terhadap penghematan waktu sebesar 63,8 menit. Selain itu, optimalisasi proses dilakukan melalui minimisasi perpindahan operator, eliminasi adjustment yang tidak diperlukan, serta penerapan parallel setup dengan menambah asisten operator, masing-masing memberikan pengurangan waktu 3,08 menit, 4,32 menit, dan 66,64 menit. Secara keseluruhan, penelitian ini membuktikan bahwa integrasi SMED pada proses curing tidak hanya menurunkan waktu non-productive secara substansial mencapai 33,77%, tetapi juga meningkatkan kelancaran aliran produksi dan mendukung pencapaian manufacturing excellence.
Strategi Optimalisasi Aset IDLE Dengan Menggunakan Algoritma K-MEAN Clustering Syarif Hidayatuloh; Yulinda Uswatun Kasanah
Jurnal Informasi, Sains dan Teknologi Vol. 5 No. 02 (2022): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v5i02.56

Abstract

Aset yang dimiliki oleh pemerintah daerah dibagi menjadi dua, yaitu aset bergerak dan aset tidak bergerak. Aset tanah termasuk ke dalam kelompok aset tidak bergerak. Pemerintah Daerah Kabupaten Kebumen memiliki aset tanah yang masih belum dimanfaatkan dan belum ada keputusan tentang penggunaan aset tersebut. Aset tanah yang belum dimanfaatkan atau tersebar di wilayah yang berbeda dan dengan karakteristik geografi yang berbeda. K-means clustering model digunakan untuk mengelompokan aset tanah dengan variabel-variabel tertentu sebagai kriteria pengelompokan, lalu hasil pengelompokan akan menjadi masukan untuk strategi kebijakan pemanfaatan aset tanah. Berdasarkan metode tersebut diperoleh tiga cluster aset, yaitu aset dengan luas tanah rendah dengan value sedang dan tinggi, luas tanah rendah dan sedang dengan value sedang dan tinggi, dan luas tanah tinggi dengan value rendah. Masing-masing cluster memiliki rekomendasi yang berbeda, untuk cluster 1 rekomendasi yang diberikan lebih fokus untuk pembukaan/persewaan usaha, untuk cluster 2 rekomendasi yang diberikan berfokus pada persewaan dengan sistem bagi hasil, sedangkan cluster 3 dirokemendasikan untuk peningkatan value dengan cara merubah status aset menjadi aset yang lebih tangible.
Model Pengukuran Performansi Rantai Pasok Industri Makanan Kaleng Dengan Pendekatan SCOR Yulinda Uswatun Kasanah; Miftahol Arifin
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i1.197

Abstract

The canned food industry is experiencing growth in this modern era. Canned food has become a popular choice due to its convenience in storage and preparation. Canned food manufacturers continue to develop new products and improve the quality of existing products to meet the increasingly diverse consumer demand. Challenges in improving company performance require companies in the canned food industry to constantly enhance the performance of their supply chains to remain competitive in the global market. This research aims to measure the performance of the canned food industry supply chain by implementing SCOR and integrating it with AHP. Based on the performance measurement results, PT XZY, a canned food company, has a SCOR score of 76.58, indicating that the company's performance is considered good. The lowest KPIs are Delivery performance and Return performance.