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Deo Renaldi Saputra
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INDONESIA
Technema: Journal of Intelligent Engineering and Computing
ISSN : -     EISSN : 31635997     DOI : 10.65310
Core Subject :
Technema: Journal of Intelligent Engineering and Computing is a peer-reviewed academic journal dedicated to publishing high-quality scholarly work in the fields of engineering, computer science, and emerging technologies. The journal provides an international platform for researchers, engineers, scientists, and technology practitioners to disseminate original research articles, theoretical contributions, experimental studies, system designs, and applied innovations that address contemporary challenges in intelligent systems and digital transformation. Technema welcomes manuscripts in areas such as artificial intelligence, machine learning, data science, computer engineering, software engineering, information systems, cybersecurity, robotics, automation, electrical engineering, the Internet of Things, cloud computing, embedded systems, smart infrastructure, and interdisciplinary technological innovation. All submissions undergo a rigorous double-blind peer-review process to ensure originality, technical rigor, scientific validity, and meaningful contributions to engineering and computing knowledge. Published quarterly in March, June, September, and December, Technema aims to foster global technological dialogue, promote cutting-edge research, and strengthen the role of intelligent engineering and computing solutions in advancing industry, infrastructure, and digital society at local, national, and international levels.
Arjuna Subject : -
Articles 62 Documents
Proposal for Improving the Production Process of CVT Slide Pieces Made from Pineapple Leaf Fiber Composites Using the Six Sigma Method Aura Khanza Mutiara
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

This study proposes improvements to the production process of CVT slide pieces made from pineapple leaf fiber-reinforced Polypropylene High Impact composites using the Six Sigma DMAIC framework. Production data from five simulation sessions covering 2,000 units were analyzed through Critical to Quality identification, a P control chart, Defects per Million Opportunities, sigma level, fishbone analysis, and 5W+1H. The results identified 353 defective units, equivalent to 17.7% of total production, with flash parting line as the dominant defect at 165 cases or 46.74%. The process remained statistically in control, with a center line of 0.177, but its capability was limited, as reflected by an average DPMO of 29,416.67 and a sigma level of 3.39. Root-cause analysis identified nine causes across machine, method, material, and man factors, mainly associated with the absence of standardized process-control documents. Six improvement documents were formulated, including machine and mold checklists, inspection procedures, material preparation standards, and parameter logs. The proposed controls are projected to reduce defects to 11.45% and increase the sigma level to 3.57. These measures provide a structured basis for sustainable manufacturing quality improvement.
Application of the Entropy Method and Multi-Attribute Utility Theory (MAUT) to a Decision Support System for Determining Priorities in Air Pollution Mitigation Based on Ambient Air Quality Monitoring Data at PT Indocement Tunggal Prakarsa Tbk. Bogor Farhan Aditya Hidayatulloh; Ahmad Refi Zaini; Kemas Muhammad Rafli Azhary; Bilal Abdul Wahid
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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This study aims to apply the Entropy and Multi-Attribute Utility Theory (MAUT) methods within a web-based Decision Support System (DSS) to determine air pollution mitigation priorities based on ambient air quality monitoring data at PT Indocement Tunggal Prakarsa Tbk., Bogor. The research addresses the problem that available monitoring data have not been specifically processed into objective and measurable mitigation-priority information. Secondary data were organized into 12 alternatives representing combinations of two monitoring stations and observation periods from January to June, using seven criteria, namely ISPU PM2.5, PM10, NO₂, SO₂, HC, CO, and O₃. The Entropy method was employed to generate objective criterion weights based on data variation, while MAUT was used to calculate utility values and rank the alternatives. The weighting results identified ISPU PM2.5 as the most dominant criterion, with a weight of 0.231710871. The MAUT results ranked Site Kecamatan Cileungsi–March first with a utility value of 0.841307511, followed by Site Utama Indocement–February with 0.750091317 and Site Utama Indocement–June with 0.696256962. Sensitivity analysis using ±10% and ±20% changes in the dominant criterion weight showed that the ranking order remained unchanged, with a Spearman rank correlation of 1.000. The developed web-based system successfully presents the calculation process, ranking results, and supporting information in a structured manner, demonstrating that the Entropy–MAUT combination provides an objective and stable approach for supporting air pollution mitigation-priority decisions.  
Analysis of Flood Control on the Lusi River at the Dumpil Weir, Ngaringan Subdistrict, Grobogan Regency Ivan Zakaria; Ananda Aulia Luthfi; Slamet Imam Wahyudi; Moh Faiqun Ni'am
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 1 (2026): March: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Flooding along the Lusi River is an annual phenomenon that significantly impacts residential areas and agricultural land, necessitating appropriate management strategies. This study focuses on evaluating the flood control system on the Lusi River, specifically the Dumpil Dam infrastructure located in Ngaringan District, Grobogan Regency. The primary objective is to assess whether the current dam capacity is adequate to reduce the planned flood discharge. From a hydrological perspective, this study processed precipitation data over the past ten years using the Thiessen Polygon method to obtain the average regional rainfall. The frequency distribution was determined through a comparative study of the Gumbel, Log Normal, and Normal methods. Meanwhile, the planned flood discharge estimate was calculated using the empirical approach of Melchior, Haspers, and Weduwen. The research findings indicate that the total flow capacity of the Dumpil Dam reaches 1,979.84 m³/s, a combination of the main crest discharge (1,827.36 m³/s) and the drainage hole (152.48 m³/s). Compared to the 50-year return period (Q50) design flood load of 1,079.26 m³/second calculated using the Haspers method, the dam structure is categorized as SAFE. This is because the existing capacity is still much greater than the predicted flood discharge. As a preventative measure, regular sediment removal and maintenance of the floodgates are recommended to maintain the dam's stable performance in the future.  
The Effect of Adding Lime And Rice Husk Ash on The Cbr Value of Expansive Soil in The Purwodadi Area, Grobogan Regency, Central Java Agus Triyono; Anja Sholahudin Nafi’; Soedarsono; Lisa Fitriyana
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 1 (2026): March: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Expansive soil from Pulorejo Village, Purwodadi District, Grobogan Regency, Central Java, exhibits high plasticity and relatively low bearing capacity, requiring stabilization before use as pavement subgrade. This study evaluated the effects of lime, rice husk ash, and their combination at 2.5%, 5%, 7.5%, and 10% on soil plasticity, compaction, and California Bearing Ratio (CBR). Laboratory testing included Atterberg limits, Modified Proctor, and CBR tests. The natural soil had a Liquid Limit of 74.02%, Plastic Limit of 32.22%, Plasticity Index of 41.80%, and CBR of 5.8%. Stabilization reduced plasticity and modified compaction characteristics. Lime increased the maximum CBR to 17.2% at 10%, while rice husk ash increased it to 15.8% at 10%. The combined lime–rice husk ash treatment produced the highest CBR of 18.5% at the 10% variation. These results indicate that the combined stabilizer provided the most effective improvement in bearing performance and offers a technically promising approach for improving expansive subgrade soil while utilizing agricultural waste as a supplementary stabilization material. The findings support sustainable soil improvement strategies for road construction in areas characterized by highly plastic expansive soils.
The Effect of Stabilizing the California Bearing Ratio (CBR) and Unconfined Compression Strength (UCS) of Clay Soil Using Fly Ash and Slacked Lime Irfan Adli Hendriyansyah; Muhammad Mukmin Mustafiq; Soedarsono Soedarsono; Lisa Fitriyana
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
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Clay soil is frequently encountered in road and building construction, yet its low bearing capacity, high plasticity, and sensitivity to moisture variations can limit its suitability as a subgrade material. This study aims to characterize clay soil from the Kaligawe area of Semarang and evaluate the effects of fly ash, hydrated lime, and their combination on California Bearing Ratio (CBR) and Unconfined Compression Strength (UCS). An experimental laboratory approach was employed using untreated soil and stabilized specimens with additive contents of 2%, 4%, 6%, 8%, 10%, 12%, 15%, and 20% based on dry soil weight. The testing program comprised Atterberg limits, Standard Proctor compaction, soaked and unsoaked CBR, and UCS tests. The untreated soil exhibited a Liquid Limit of 65.375%, Plastic Limit of 27.611%, Plasticity Index of 37.764%, unsoaked CBR of 4.80%, soaked CBR of 3.10%, and UCS of 0.867 kg/cm². Fly ash achieved optimum CBR values at 15%, reaching 12.20% unsoaked and 8.80% soaked, whereas hydrated lime achieved 19.60% unsoaked and 17.00% soaked at 10%. The combined treatment produced the highest unsoaked CBR of 21.20% and UCS of 2.284 kg/cm² at 10% fly ash + 10% hydrated lime. UCS values for fly ash and hydrated lime individually reached 1.725 and 2.198 kg/cm², respectively. The findings demonstrate that combined stabilization effectively enhances clay performance, with 10% + 10% identified as the optimum composition.
Proposal for Selecting a Supplier of PE Polyester Raw Materials at Camo Fashion Using the ISM and ANP Methods Daniel Ignasius Beslar; Muhammad Alwan Ramadhan Herma
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Camo Fashion is a manufacturing company producing camouflage-patterned apparel that relies on PE Polyester fabric as its primary raw material and currently collaborates with five suppliers. Supplier selection was previously based mainly on price and quality, resulting in several procurement problems, including delayed raw-material deliveries and inconsistencies in fabric specifications, particularly material weight. This study aimed to propose an appropriate PE Polyester supplier by integrating Interpretive Structural Modeling (ISM) and Analytical Network Process (ANP) within a multi-criteria decision-making framework. Empirical data were collected through interviews and pairwise-comparison questionnaires involving three respondents directly responsible for procurement and production activities. ISM and MICMAC analyses were applied to identify influential subcriteria and their structural relationships, while ANP was used to determine criterion and subcriterion priorities and rank five supplier alternatives. The results identified four key criteria: quality, price, warranty, and delivery, with quality receiving the highest priority weight of 0.487. Five key subcriteria were retained, with quality conformance to specifications ranking first at 0.178. Supplier E achieved the highest overall priority weight of 0.118, followed by Suppliers C, D, A, and B. Supplier E was recommended as the primary supplier because of its stronger performance in material quality, defect control, and delivery reliability, despite its relatively higher purchasing price.  
Analysis of Quality Control for Nusa Bess Products Using the Statistical Quality Control (SQC) Method to Reduce Defective Products at PT. XYZ M. Lutfi Anwaruddin; Novi Marlyana
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
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Quality consistency is essential in mass production because recurring defects reduce acceptable output and require corrective action. This study analyzes quality defects in Nusa Bess products at PT. XYZ using Statistical Quality Control (SQC), focusing on defect identification, Pareto prioritization, and Fishbone cause analysis. Data were obtained through direct observation, interviews with quality-control staff, company documentation, and production records. The analysis covered defect data from January to June 2025. During this period, 555,216 units were produced and 42,860 units were rejected. Fifteen defect categories were identified, with surface defects, chipping, edge defects, holes, stains, clave cracks, and breakage forming the dominant group and representing a cumulative contribution of 78% in the Pareto analysis. Fishbone analysis identified five causal dimensions: man, machine, environment, material, and method. The documented causes included insufficient operator attention and SOP compliance, unstable oven temperature and machine conditions, high humidity and extreme weather, excessive material moisture or unsuitable material composition, and limitations in manual inspection. Based on these findings, quality improvement should prioritize operator training, stricter SOP implementation, machine maintenance and parameter control, routine briefings, and tighter incoming-material inspection. The study provides an empirical basis for directing quality-control improvements toward dominant defects and process factors.
An Experimental Study on the Use of Foam Mortar to Improve the Bearing Capacity of Soft Soil Muhammad Faruk Bajri; Muhammad Rafa Saptono; Abdul Rochim; Muhammad Rusli Ahyar
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
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Soft clay soils generally exhibit low bearing capacity, high plasticity, and limited shear resistance, making stabilization necessary for construction applications. This study investigates the effect of foamed mortar addition at 0%, 15%, 20%, and 25% on the physical and mechanical properties of soft clay obtained from Semarang City, Indonesia. The research employed a quantitative experimental approach through laboratory testing, including grain-size analysis, Atterberg limits, direct shear testing, Standard Proctor compaction, and laboratory California Bearing Ratio (CBR). The untreated soil was dominated by clay-sized particles at 89.88% and exhibited a specific gravity of 2.487, liquid limit of 53.21%, plastic limit of 29.82%, and plasticity index of 23.39%. The untreated soil also showed an internal friction angle of 11.06°, optimum moisture content of 34.00%, maximum dry density of 1.27 g/cm³, and unsoaked CBR of 5.10%. Increasing the foamed mortar content substantially modified the grain-size composition and improved the mechanical performance of the soil. At 25% foamed mortar content, the internal friction angle increased to approximately 34.50°, while the maximum unsoaked CBR increased to 25.70%, approximately 5.04 times the untreated value. The findings demonstrate that foamed mortar is effective in improving the shear resistance and bearing capacity of soft clay, with the 25% mixture providing the highest documented mechanical performance.
Analysis of Occupational Accident Sources in a Construction Project: A Case Study of the Pulokulon-Jambon Road Project Yutata Wicaksana; Eko Muliawan Satrio; Muhamad Rusli Ahyar
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
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Occupational accidents remain a critical concern in road construction because construction activities involve heavy equipment, construction materials, changing workplace conditions, and continuous interaction between workers and machinery. This study aims to identify occupational accident types, accident sources, severity levels, and work-stage patterns in the Pulokulon–Jambon Road Improvement Project, Grobogan Regency, Central Java. A descriptive quantitative case-study design was employed, involving 15 project personnel selected through purposive sampling based on their direct involvement in construction activities. Primary data were collected through questionnaires and complemented by direct observations, semi-structured interviews, and project documentation. The data were analyzed descriptively using frequencies, percentages, and mean values to characterize accident occurrence across time, type, source, severity, and construction stages. The findings show that accidents occurred most frequently in the afternoon, accounting for 46.7% of recorded cases. Slipping was the dominant accident type at 33.3%, while slippery or uneven road-surface conditions represented the largest accident-source category at 33.3%. Construction materials and heavy equipment each contributed 26.7% of the identified accident sources, whereas work equipment accounted for 13.3%. Minor accidents dominated the severity distribution at 66.7%, followed by moderate cases at 26.7% and severe cases at 6.6%. The findings provide project-specific evidence supporting targeted OSH improvement through workplace-surface control, material organization, PPE compliance, safe work procedures, and heavy-equipment interaction management.
Analysis of Drainage Channel Capacity in the Perumnas Tlogosari Kulon Area, Semarang City Muhammad Izzudin Al Qossam; Mohammad Faiqun Niam; Lisa Fitriana
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
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Tlogosari Kulon Village, Pedurungan District, Semarang City, is a densely populated residential area that regularly experiences inundation and flooding during high rainfall events due to increased surface runoff and suboptimal drainage system performance. This study aims to analyze the hydrological conditions, evaluate the capacity of the existing primary drainage channel, and determine its ability to accommodate the 10-year design flood discharge. The analysis used annual maximum daily rainfall data for 2015–2024 from three rainfall stations, namely Bodri Kuto, Karangroto, and Pucanggading, together with topographic data and field measurements of a 1,787 m-long primary drainage channel. Regional rainfall was estimated using the Thiessen Polygon method, while design flood discharge was determined through frequency analysis using the Gumbel distribution and the Rational Method. Channel capacity was evaluated using the Manning equation. The results indicate that the 10-year design flood discharge is 22.42 m³/s, whereas the existing channel, with a width of 7.50 m and height of 1.70 m, has a capacity of 36.08 m³/s and a flow velocity of 2.83 m/s. The capacity margin of 13.66 m³/s indicates that the channel retains sufficient hydraulic capacity under the 10-year design condition. The existing channel is hydraulically adequate, although periodic maintenance is required to control sedimentation, solid-waste accumulation, and channel narrowing.