Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal OPSI Jurnal Pengabdian Masyarakat As-salam Jurnal Manajemen dan Teknologi Rekayasa Ulil Albab
Hersa Dwi Yanuarso
Institut Teknologi Sumatera
Religion Arts Humanities Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Analisa Proses Seleksi Operator pada PT. Dhanar Mas Concern Bandung Hersa Dwi Yanuarso; Rinda Gusvita; Rohmah Helmikawaty
OPSI Vol 13, No 1 (2020): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1089.438 KB) | DOI: 10.31315/opsi.v13i1.3472

Abstract

Employees or human resources are important assets in a company especially for textile industry. However, one of the important problems of the textile industry is the level of turnover. PT. Dhanar Mas Concern is an export-oriented textile company located in South Bandung which has a vision to be the best textile company with the most complete and best product in the world. In general, the person who controls these yarn and fabric making machine is called the operator (labor). The success of a company in managing the human resources is depend on the result of the selection process. So far the selection process for operators is carried out routinely every two times a week according to the needs of employees, due to hngh turnover rates. The high turnover rate is also a complaint of supervisors or team heads. The objective of the study is to determine how the selection process is conducted in textile company and the correlation between the the theory and the implementation in PT. Dhanar Mas Concern. The methodology research that used in this study is qualitative approach with descriptive research approach. This research shows that the selection process in PT. Dhanar Mas Concern met 7 (seven) of 8 (eight) stages which presented by William B. Werther Jr. and Keith Davis. The company overstepped the stage about interview with supervisors (user). The researcher suggests the company to implement the selection stages of interview with supervisors (user) cause the supervisor are the best informed of the technical aspects of the job. Supervisors interview may help to determine the extent of the applicants meet the company’s employment requirements.
Analisis Beban Kerja Mental Mahasiswa saat Perkuliahan Online Synchronous dan Asynchronous Menggunakan Metode Rating Scale Mental Effort Fatin Saffanah Didin; Intan Mardiono; Hersa Dwi Yanuarso
OPSI Vol 13, No 1 (2020): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1151.198 KB) | DOI: 10.31315/opsi.v13i1.3501

Abstract

In 2020, Indonesia experienced a pandemic known as the Corona Virus or Covid-19. The government-imposed social distancing rules affect Indonesian society for teaching and learning activities at the university. Governments impose rules on online learning systems. The online learning system provides convenience, but on the other hand, there are adverse impacts for some students, one of which has a mental workload. The study aims to measure and analyze student mental workloads using the Rating Scale Mental Effort (RSME) method. The number of respondents was 111 students. The mental workload measured is a quantitative learning system that is quantitative with the delivery of the material directly (Synchronous) and the delivery of the material using the recorded video in advance (Asynchronous). The indicators of mental work effort are workload, work difficulties, job satisfaction, mental effort, anxiety, and work fatigue. The measurement results show that the RSME value of the workload indicator and the work difficulties between the online learning methods are significantly different. Mental workloads, technical difficulties, work mental ventures, work anxieties and work fatigue when online learning is high enough on the learning system using Synchronous, with a value of 93.27; 94.5; 94.27; and 96.54. However, for job satisfaction, students are more satisfied learning by using video recording than Synchronous, i.e., several 79.61. The results show that the recommended online learning method is with video recording.
PENERAPAN SISTEM INFORMASI KAMPUNG BANDAR AGUNG BERBASIS WEB UNTUK ADMINISTRASI WARGA Alam Fathurochman; Muhammad Iqbal; Hersa Dwi Yanuarso; Mugi Praseptiawan
JPMA - Jurnal Pengabdian Masyarakat As-Salam Vol. 1 No. 2 (2021): Jurnal Pengabdian Masyarakat As-Salam (JPMA)
Publisher : Asosiasi Dosen Perguruan Tinggi Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.797 KB) | DOI: 10.37249/jpma.v1i2.314

Abstract

Pemerintah desa sebagai lembaga pelayanan publik di masyarakat memiliki streotip kurang baik akibat banyak kekurangan dari pelayanan yang diberikan. Masalah yang biasanya timbul antara lain: lambatnya pelayanan, pemberkasan yang membutuhkan waktu cukup lama, alur administrasi yang panjang serta kesalahan-kesalahan administrasi sehingga pelayanan yang didapatkan masyarakat tidak optimal. Permasalahan tersebut dapat memunculkan praktik-praktik tidak baik seperti suap atau calo yang menambah potret buruk terhadap pelayanan publik. Terobosan untuk mengatasi permasalahan dan meningkatkan kualitas pelayanan publik adalah penerapan teknologi informasi. Pemerintah Kampung Bandar Agung bertugas mengelola pelaksanaan administratif warga. Kondisi saat ini pengelolaan administratif layanan kepada masyarakat masih konvensional atau manual. Berdasarkan permasalahan tersebut, diperlukan adanya sistem informasi untuk mengelola administratif pelayanan masyarakat Kampung Bandar Agung. Sistem informasi berbasis website dapat menjadi solusi untuk menjaga data dan informasi lebih aman dan secara cepat diakses. Perancangan sistem informasi desa berbasis website ini menggunakan aplikasi OpenSID yang secara lengkap memiliki fitur-fitur berupa modul administrasi pelayanan desa serta website yang digunakan untuk memberikan informasi terkait aktivitas pemerintah desa. Hasil umpan balik melalui wawancara dan diskusi dengan pihak mitra, yakni Pemerintah Kampung Bandar Agung, kegiatan pengabdian kepada masyarakat dengan pembuatan sistem informasi desa berbasis website ini sangat membantu terhadap inovasi pelayanan warga Kampung  Bandar Agung.
Model Pengembangan Kebijakan Inventori Joint Replenishment untuk Multi Produk dengan Mempertimbangkan Produk Substitusi Elvi Armadani; M Zaky Hadi; Dian Fajarika; Juniwati Juniwati; Hersa Dwi Yanuarso
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 2 No. 8: Juli 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v2i8.1963

Abstract

Pendekatan joint replenishment merupakan salah satu metode yang digunakan dalam melakukan replenishment inventori. Dengan joint replenisment. Dengan joint replenishment biaya pesan dapat diminimasi karena hanya menggunakan satu kali pengiriman untuk beberapa produk sekaligus. Contoh proses replenishment inventori yang menggunakan pendekatan ini adalah pada retailer maupun toko grosir dengan jenis produk consumer goods. Ciri dari pasar consumer goods adalah adanya kemungkinan pemenuhan demand dengan produk lain yang sejenis, sehingga dapat dikatakan produk tersebut dapat saling mensubstitusi. Selain itu, terdapat kesulitan dalam proses replenishment produk jenis ini yaitu adanya ketidakpastian demand dari sisi customer. Penelitian ini mengembangkan model inventori Maddah, dkk (2016) mengenai model joint replenishment dengan mempertimbangkan substitusi produk. Pada penelitian ini, digunakan demand dengan sifat probabilistic. Service level telah ditetapkan sebelumnya oleh perusahaan (probabilistic sederhana). Ukuran kinerja yang diperhatikan adalah meminimasi ongkos total yang terdiri dari ongkos pembelian, ongkos pemesanan, ongkos penyimpanan, dan ongkos kekurangan. Berdasarkan uji coba model, didapati hasil bahwa model joint replenishment dengan substitusi memberikan ongkos total lebih rendah dibandingkan tanpa substitusi. Selain itu, model tersebut juga sensitif terhadap perubahan harga dan perubahan ongkos simpan.
Design Of Artificial Neural Network (ANN) Based Analytics Model for Safety Stock and Reorder Point Prediction at Galeri 1 ITERA Guido Immanuel Simanungkalit; Hersa Dwi Yanuarso; Frieska Ariesta Syafnijal; Eka Rachmadi Endarta Putra; Sherin Ramadhania
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3992

Abstract

Inventory management in retail environments such as Galeri 1 ITERA faces significant challenges due to fluctuating and irregular demand patterns, which often lead to stockout and overstock conditions. This study proposes an integrated inventory analytics system that combines ABC classification, demand forecasting using Artificial Neural Network (ANN), safety stock (SS) and reorder point (ROP) calculation, as well as interactive dashboard visualization to support data-driven inventory decision-making. The research methodology consists of: (1) ABC analysis to determine inventory control priorities for 56 products; (2) demand forecasting using ANN models trained on historical sales data; (3) calculation of safety stock and reorder point based on forecasting results and lead time variability; and (4) development of an analytics dashboard using Microsoft Power BI. The proposed ANN model utilizes a multilayer feedforward architecture capable of capturing nonlinear demand patterns. Forecasting performance was evaluated using WAPE, RMSE, and MAE metrics. The results indicate that 24 category-A items (42.9%) contribute to 79.45% of the total inventory consumption value, highlighting the need for tighter inventory control. The ANN forecasting model achieved an average accuracy of 88.72% with an average WAPE of 11.28%, while most products showed stable MAE and RMSE values below 2.5 units. Forecasting outputs were subsequently integrated into safety stock and reorder point calculations, producing dynamic inventory control parameters ranging from 3–209 units for safety stock and 3–296 units for reorder points. The main scientific contribution of this study lies in the integration of ABC classification, ANN-based forecasting, and dashboard-based predictive analytics into a unified inventory management framework for retail operations. The resulting dashboard enables interactive monitoring of inventory conditions, stock alerts, demand predictions, safety stock, and reorder point values, thereby improving the effectiveness and responsiveness of inventory control decisions.
Design of Recommendation Decision Support System ITERA Industrial Engineering Students' Final Project Topic with Method Case-Based Reasoning and Certainty Factors Hersa Dwi Yanuarso; David Kusuma; Muhammad Faishal Jundana Muttaqin; M. Zaky Hadi; Fatin Saffanah Didin
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3525

Abstract

Design of Decision Support System (DSS) for final project topic recommendation for ITERA Industrial Engineering students by integrating Case-Based Reasoning (CBR) and Certainty Factor (CF) methods used to support this research. A common problem is when determining the final project research topic, where most students have difficulty finding a topic that is in accordance with their respective fields of expertise. This causes the final project to take longer than the estimated standard time for graduates, which is normally between 4-5 years. The purpose of this study is to assist final year students in determining the final project title that suits their preferences and academic needs. The CBR method is used to search and compare cases based on case similarities with data contained in the database, while the CF value is applied to handle uncertainty and provide a level of confidence in the resulting recommendations. The results show that the integration of these two methods improves the accuracy and relevance of recommendations, as well as providing better transparency through the presentation of Certainty Factor values. System evaluation shows a high level of user satisfaction and a decrease in the time required to determine the final project topic. The design and development of a decision support system for final project topic recommendations was successfully carried out by integrating the Case-based Reasoning and Certainty Factor methods implemented on web hosting, performance evaluation and the impact of system use on user satisfaction showed that users felt satisfied when using the decision support system.
Co-Authors Alam Fathurochman, Alam David Kusuma Dian Fajarika, Dian Eka Rachmadi Endarta Putra Elvi Armadani Fatin Saffanah Didin Frieska Ariesta Syafnijal Guido Immanuel Simanungkalit Intan Mardiono Juniwati Juniwati M Zaky Hadi M. Zaky Hadi Muhammad Faishal Jundana Muttaqin, Muhammad Faishal Jundana Muhammad Iqbal Praseptiawan, Mugi Rinda Gusvita Rohmah Helmikawaty Sherin Ramadhania