Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Logistik INOVTEK Polbeng - Seri Informatika JIMEK
Wenny Ananda Larasati
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Transportation

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Sea Level Prediction Using Gated Recurrent Unit and Bidirectional Long Short-Term Memory Methods Sinurat, Anting B.N; Wildan Aprizal Arifin; Wenny Ananda Larasati
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/r9bk6j70

Abstract

Coastal areas are areas that border between land and sea. One of the main threats to this area is flooding due to rising sea levels. The coastal areas in the South Lampung Waters are geographically located directly opposite the Sunda Strait. In this area, there are various economic activities of the community and settlements that are greatly influenced by sea dynamics, including tides. This study aims to predict sea level in the South Lampung Waters using the GRU method and compare the prediction results of the model with the BiLSTM model. This study involves steps such as data collection, data pre-processing, model training, modeling, evaluation and analysis. The data used is sea level data for one year, from June 1, 2023 to May 31, 2024, which is divided into training data (80%) and test data (20%). Evaluation of the test results and predictions of the two models is carried out using MAE and RMSE. The results of the research that has been carried out, the BiLSTM method is superior to the GRU method in predicting water levels. This can be seen from the MAE and RMSE values ​​obtained, where the BiLSTM method has the lowest MAE value of 0.0102 and RMSE of 0.0218, while the GRU method has a MAE value of 0.0164 and RMSE of 0.0277. So in this study it can be concluded that the BiLSTM method is more accurate and effective than the GRU method in predicting sea level in the South Lampung Waters.
Pemasok PENERAPAN METODE ANALYTICAL HIERARCHY PROCESS DAN TECHNIQUE OF ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS UNTUK PEMILIHAN SUPPLIER PADA PT. DOK & PERKAPALAN KODJA BAHARI (PERSERO) GALANGAN JAKARTA II aditya noercahyadi, Dimas; Ma’ruf; Wenny Ananda Larasati
LOGISTIK Vol. 18 No. 02 (2025): Logistik
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/logistik.v18i02.57305

Abstract

Pemilihan supplier yang tepat merupakan elemen krusial dalam mendukung kelancaran rantai pasok dan efisiensi operasional, khususnya di industri galangan kapal yang sangat bergantung pada ketersediaan bahan baku secara tepat waktu dan berkualitas. Permasalahan utama dalam penelitian ini adalah belum adanya metode yang sistematis dan terukur dalam menilai serta menentukan supplier dari berbagai alternatif yang tersedia. Penelitian ini bertujuan untuk menentukan supplier terbaik bagi PT. Dok & Perkapalan Kodja Bahari (Persero) Galangan Jakarta II dengan menerapkan metode Analytical Hierarchy Process (AHP) dan Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). AHP digunakan untuk menentukan bobot dari enam parameter utama—Cost, Quality, Delivery, Service, Eligibility, dan Capacity—beserta sub-parameternya melalui perbandingan berpasangan. Bobot tersebut kemudian diintegrasikan ke dalam metode TOPSIS untuk mengevaluasi dan merangking lima alternatif supplier berdasarkan kedekatannya terhadap solusi ideal. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data berupa observasi, kuesioner, dan dokumentasi. Hasil penelitian menunjukkan bahwa kombinasi AHP-TOPSIS mampu menghasilkan pemeringkatan supplier yang objektif dan sistematis, di mana PT. Caraca Bintang Samudra terpilih sebagai supplier terbaik berdasarkan nilai preferensi tertinggi. Temuan ini diharapkan dapat menjadi dasar strategis dalam meningkatkan efektivitas pengadaan serta memperkuat daya saing perusahaan, sekaligus memberikan kontribusi terhadap pengembangan kajian pengambilan keputusan multikriteria di sektor industri maritim.
Implementasi Lean Warehouse terhadap Produktivitas Operasional Pengiriman di PT. ABC Fadila Ainur Rahma; Ma’ruf Ma’ruf; Wenny Ananda Larasati
Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 6 No. 1 (2026): Maret: Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan (JIMEK)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimek.v6i1.9994

Abstract

This study aims to analyze the level of lean warehouse implementation and the dominant aspects that can affect the productivity of shipping operations at PT. ABC. The approach adopted in this study is quantitative descriptive by distributing questionnaires to respondents involved in shipping operations both in administration and in the field. The results obtained that the level of lean warehouse implementation reached 55.17%, which indicates that most lean warehouse aspects have been implemented but are not optimal in some aspects. The dimensions of motion, waiting, overprocessing, transportation, and flow management are still in the "less good" category, while defects and HRM are classified as "good". This condition is at the level of shipping operational productivity which only reached 53%. The lean warehouse aspects that most dominantly affect productivity are waiting and motion, which are related to punctuality as well as the arrangement and quantity of work in the warehouse. This study provides recommendations for improving lean warehouse implementation, especially in dimensions that are still less than optimal. Improving process arrangement and reducing waiting time will increase overall efficiency and productivity, thereby influencing company performance in achieving better operational goals.
Co-Authors aditya noercahyadi, Dimas Fadila Ainur Rahma Ma’ruf Ma’ruf Ma’ruf Sinurat, Anting B.N Wildan Aprizal Arifin