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All Journal Infotech: Journal of Technology Information Review: Journal of Multidisciplinary in Social Sciences
Rachmadi, Tri
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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MENENTUKAN CLUSTER YANG TEPAT DENGAN K-MEANS DALAM RANGKA MENGUKUR EFEKTIVITAS PELAKSANAAN ANGGARAN PADA KEMENTERIAN AGRARIA DAN TATA RUANG/BADAN PERTANAHAN Murti Suyoto, Indah Dewi; Rachmadi, Tri; Parulian, Lundu Taufik
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.126

Abstract

The effectiveness of budget implementation is one of the benchmarks for the success of a Ministry/Agency in implementing its programs, activities and expenditures in accordance with a predetermined plan. The problem faced is that the achievement in budget execution is often not optimal, one of which is caused by the determination of inappropriate K/L budget allocations resulting in the implementation of activities that are not in accordance with the plan, the realization of budget absorption is not optimal and has the potential to cause idle cash. For this reason, it is necessary to do a mapping in order to identify the main causes or constraints in budget execution using the clustering method. This study tries to find the right cluster with the K-Means algorithm clustering method. The expected results are finding the right cluster model in measuring the effectiveness of budget implementation that can be used when determining budget allocations and preventing idle cash in the budget of the Ministry of Agrarian and Spatial Planning. 
Preventive Analysis of Polymer Leakage in Injection Molding Machines and Its Impact on Production Efficiency Rafli, Muhamad; Maulana, Dandi; Rachmadi, Tri; Takuya, Takuya; Prastyo, Yudi
Review: Journal of Multidisciplinary in Social Sciences Vol. 2 No. 12 (2025): December 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v2i12.1101

Abstract

This study examines the causes and impacts of polymer leakage in a 500-ton injection molding machine, which frequently occurs at the nozzle and sprue bushing junction. Leakage is caused by seal wear, excessive injection pressure, and nozzle misalignment, which enlarges microgaps. Measurements show that at a pressure of 150 MPa and a temperature of 250°C, the leakage rate reaches 20–100 ml/h. Through Autodesk Moldflow simulations, the nozzle-sprue transition area was identified as the point of maximum pressure (152 MPa) with the highest leakage potential, thereby extending conventional maintenance diagnostics through simulation-based identification of critical stress zones rather than relying solely on routine visual inspection. After optimizing the design and process parameters including reducing the injection pressure to 140 MPa, using heat-resistant Viton seals up to 250°C, and readjusting the nozzle position the leakage rate decreased by 70% (from 60 ml/h to 18 ml/h). The output of this study is a leak prevention model based on visual inspection, direct measurement, and numerical simulation, which distinguishes this work from standard industrial troubleshooting by integrating predictive simulation with quantitative cost-saving analysis, enabling an increase in production efficiency by ± 5 percent and operational cost savings of approximately US$1,800 per year per machine.
Co-Authors Maulana, Dandi Murti Suyoto, Indah Dewi Parulian, Lundu Taufik Prastyo, Yudi Rafli, Muhamad Takuya, Takuya