Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) ACCRUALS (Accounting Research Journal of Sutaatmadja) Jurnal Pengendalian Pencemaran Lingkungan (JPPL)
Didit Damur Rochman
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Usulan Pengelolaan Sampah di Kelurahan Margasari Kota Bandung Menggunakan Pemodelan Dinamika Sistem Miftahuljanah, Winna; Didit Damur Rochman
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2282

Abstract

Kelurahan Margasari in Bandung West Java, located at Jalan Cipagalo Girang No. 9. Covering an area of 272.18 hectares, Margasari is the largest kelurahan in the kecamatan Buah Batu, accounting for 37% of its total area. Margasari is among the kelurahan that generate substantial waste, originating from household and business activities. The research aims to identify waste flow in kelurahan Margasari and propose waste management strategies to reduce waste generation based on system dynamics simulation results. A quantitative approach employing system dynamics methodology is utilized. Simulations encompass three scenarios: Scenario 1 represents the baseline, Scenario 2 involves waste sorting with 100% organic waste recycling and proportional distribution of inorganic waste, while Scenario 3 incorporates waste sorting with 100% organic waste remaining untreated and 100% inorganic waste processed. Over a 1,000-day simulation period, Scenario 3 exhibits the lowest waste amount deposited in the landfill, totaling 4,813.28 kg/day. This reduction is attributed to the full segregation of inorganic waste. Thus, maximizing waste sorting in kelurahan Margasari proves to be the most effective approach in minimizing landfill waste. Model validation confirms the applicability of system dynamics in analyzing interrelated factors crucial for sustainable waste management planning
Usulan Pengelolaan Sampah di Kelurahan Margasari Kota Bandung Menggunakan Pemodelan Dinamika Sistem Miftahuljanah, Winna; Didit Damur Rochman
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2282

Abstract

Kelurahan Margasari in Bandung West Java, located at Jalan Cipagalo Girang No. 9. Covering an area of 272.18 hectares, Margasari is the largest kelurahan in the kecamatan Buah Batu, accounting for 37% of its total area. Margasari is among the kelurahan that generate substantial waste, originating from household and business activities. The research aims to identify waste flow in kelurahan Margasari and propose waste management strategies to reduce waste generation based on system dynamics simulation results. A quantitative approach employing system dynamics methodology is utilized. Simulations encompass three scenarios: Scenario 1 represents the baseline, Scenario 2 involves waste sorting with 100% organic waste recycling and proportional distribution of inorganic waste, while Scenario 3 incorporates waste sorting with 100% organic waste remaining untreated and 100% inorganic waste processed. Over a 1,000-day simulation period, Scenario 3 exhibits the lowest waste amount deposited in the landfill, totaling 4,813.28 kg/day. This reduction is attributed to the full segregation of inorganic waste. Thus, maximizing waste sorting in kelurahan Margasari proves to be the most effective approach in minimizing landfill waste. Model validation confirms the applicability of system dynamics in analyzing interrelated factors crucial for sustainable waste management planning
How Can Product Delivery Efficiency Be Improved? A Comparative Study Between the Shortest Path Method and Vehicle Routing Problem with Pool Clustering Implementation in Kukami Delivery Subang Muhammad Ridlan Akbar; Didit Damur Rochman
ACCRUALS (Accounting Research Journal of Sutaatmadja) Vol. 9 No. 01 (2025): Accruals Edisi Maret 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Sutaatmadja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35310/accruals.v9i01.1358

Abstract

Due to the volume of orders and network complexity, KUKAMI Delivery faces high operational costs and suboptimal routing using the Shortest Path Method. This method often results in inefficient routes in terms of distance because the starting points could be more optimal. Therefore, a more practical approach is needed to improve route efficiency. This study compares two route optimization methods: the Shortest Path Method and the Vehicle Routing Problem (VRP) with the Saving Matrix approach and Pool Clustering. The latter technique groups partners or suppliers within specific areas, facilitating more efficient rider assignments. The results of this study are significant for KUKAMI Delivery. They show that the Shortest Path Method can improve distance and operational costs by 8.8% for both inter-cluster and cross-cluster routes. However, applying the VRP with the Saving Matrix Method and Pool Clustering can further enhance distance and operational efficiency by 3.36% compared to the Shortest Path Method. These findings provide valuable insights for enhancing KUKAMI Delivery’s operations to better meet the growing demand in the local delivery industry.
EVALUASI EKONOMIS PENGGANTIAN MESIN INDUSTRI DENGAN DYNAMIC PROGRAMMING: APLIKASI PADA CV CTR: ECONOMIC EVALUATION OF INDUSTRIAL MACHINE REPLACEMENT WITH DYNAMIC PROGRAMMING: APPLICATION TO CV CTR Fadly Rizky Dermawan; Dony Sastra Danuatmaja; Oktavian Endiyansyah; Febe Seren; Didit Damur Rochman
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3248

Abstract

Spinning machines play a crucial role in the production process. However, over time, increasing machine age and usage frequency lead to a decline in operational efficiency and a rise in operating costs. To optimize asset management, this study performs calculations by considering machine age, maintenance costs, salvage value, and annual operational revenue. This research aims to formulate an optimal replacement strategy for spinning machines at CV CTR using the Dynamic Programming approach. Data were collected through structured interviews and an internal document review, covering both technical and financial information. Calculations were carried out using a backward recursion method over a six-year planning horizon to evaluate various decision scenarios, including whether to retain or replace the machine. The results show that the best strategy involves replacing the machine in the first year, retaining it in the second year, replacing it again in the third year, and retaining it through the beginning of the sixth year. This strategy yields a maximum net income of Rp203,170,000 per year and is considered the most efficient compared to other alternatives. The study concludes that Dynamic Programming is effective in formulating data-driven and measurable machine replacement policies that support long-term operational cost efficiency.
Co-Authors Dony Sastra Danuatmaja Fadly Rizky Dermawan Febe Seren Miftahuljanah, Winna Muhammad Ridlan Akbar Oktavian Endiyansyah