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Perhitungan Neraca Massa NL Reaktor dan Efisiensi Penyisihan Nilai Parameter Kualitas Air pada PT. Ajinomoto Indonesia - Mojokerto Factory
Get PDFThis internship report describes the activities and observations conducted during the Practical Work Program (PKL) at PT Ajinomoto Indonesia – Mojokerto Factory, carried out from January 6 to January 31, 2025. The purpose of this internship was to gain industrial experience and understand the complete production process of Monosodium Glutamate (MSG), including raw material preparation, fermentation, isolation, purification, quality control, utilities, and wastewater treatment. Throughout the program, the intern studied the production workflow, identified the function of major equipment units, and observed the implementation of quality and safety standards in accordance with ISO-based management systems. A special task was conducted focusing on mass balance calculations in the isolation unit (FI-1/H4) and evaluating wastewater treatment efficiency using jar tests based on TOC, TN, TSS, and pH parameters. The results showed that process optimization, strict control of operating conditions, and proper waste handling are critical to ensuring high product quality and environmental compliance. Overall, this internship provided valuable insights into chemical engineering applications in the food industry, enhanced technical competencies, and strengthened understanding of industrial-scale production systems
FORECASTING THE PRICE OF LARGE RED CHILI USING THE GENERALIZED SPACE-TIME AUTOREGRESSIVE – SEEMINGLY UNRELATED REGRESSION (GSTAR-SUR) MODEL IN THREE REGIONS OF EAST JAVA
No full textRed chili is one of the main commodities contributing to volatile inflation components in Indonesia, recorded by BPS as contributing 0.06% annually to inflation in the food, beverage, and tobacco group. This is caused by fluctuations in the price of large red chilies which can be influenced by the amount of production, demand, and supply. Based on data from Siskaperbapo, the price of large red chilies in Malang Regency, Banyuwangi Regency, and Surabaya City shows a fluctuating and similar movement pattern between regions, with price increases in one region will increase prices in the other two regions and vice versa, which indicates a spatial relationship in price formation. Therefore, a forecasting model is needed that can capture spatial and temporal relationships simultaneously to support price control and food stabilization policies. This study applies the Generalized Space-Time Autoregressive – Seemingly Unrelated Regression (GSTAR-SUR) model with the Generalized Least Squares (GLS) approach to overcome correlations between residuals, and applies backward elimination as a research gap to simplify the model while retaining significant parameters. The analysis results show that the best model is GSTAR-SUR(31)-I(1) with a cross-correlation normalization weighting matrix, resulting in a MAPE of 3.25%, an Adjusted R² of 78%, an AIC of 209.31, and a BIC of 211.44, indicating a high level of accuracy. Based on the forecast for the next 14 days, the price of large red chilies is expected to decrease gradually after increasing at the end of September, with Banyuwangi Regency projected to have the highest price of IDR 46,008, followed by Surabaya City at IDR 43,988, and Malang Regency at IDR 37,479
Perancangan Geometri Dan Struktur Atas Jalan Rel Kereta Api Cepat Surabaya - Jakarta Berdasarkan Jalur Eksisting Stasiun Pasar Turi – Stasiun Lamongan (Km 0+000 - Km 41+046)
No full textTransportation is the activity of moving people and goods between locations, playing an essential role in mobility, economy, and society. Railways are a leading mode of land transportation due to their efficiency, punctuality, and capacity to carry large numbers of passengers and goods. High-speed trains are designed to operate at speeds up to 350 km/h using dedicated elevated tracks free from level crossings, enhancing connectivity and travel efficiency. In Indonesia, the Jakarta–Surabaya high-speed rail project supports mobility, reduces congestion, and promotes environmental sustainability. This study focuses on the geometric and structural design of the high-speed railway along the Pasar Turi–Lamongan route as part of the national railway network development. The design method refers to the Minister of Transportation Regulation No. 60 of 2012 and No. 7 of 2022. Based on the analysis, the rolling stock used is the CR400AF Fuxing, with R.60 rail type (60.34 kg/m), WJ-8 compression spring clips, and continuous concrete sleepers (slab track) measuring 5600×2500×200 cm. The design speed is 350 km/h with an 8000 m curve radius, vertical gradient of <2%, and a maximum rail superelevation of 175 mm with a 40 mm tolerance. The transition of elevated gradient occurs between KM 6+000–7+000 (uphill) and KM 40+000–41+000 (downhill) with a length of 1000 m
Analisis Perbandingan Implementasi Clean Architecture Menggunakan State Management Provider dan BLoC pada Pengembangan Aplikasi Umrahbackpacker
No full textThe development of complex mobile applications requires a scalable architecture and efficient state management to maintain optimal performance and code maintainability. This research aims to analyze the comparative implementation of Clean Architecture using two popular state management approaches in the Flutter framework, namely Provider and BLoC (Business Logic Component), within the case study of the UBP (Umroh Backpacker) application development. The research methodology involves designing a system based on Clean Architecture principles that separates the Data, Domain, and Presentation layers, followed by comparative testing on three main aspects: modifiability, testability, and performance. Performance testing was conducted on two devices with distinct specifications (low-end and high-end) using the Flutter DevTools instrument. The results indicate significant trade-offs between the two approaches: Provider excels in initial development speed due to its concise code structure (modifiability), whereas BLoC offers a more modular structure and superior support for reliable, structured testing (testability). In terms of performance on low-end devices, BLoC proves to be more efficient in memory usage and is capable of reducing frame jank by up to 40% in high-workload scenarios compared to Provider. Consequently, this study concludes that BLoC is highly recommended for medium to large-scale applications that prioritize performance stability and long-term maintainability
Pengaruh Beban Kerja Dan Stres Kerja Terhadap Kinerja Karyawan Divisi Logistik PT. Pos Indonesia KCU Surabaya
No full textKinerja karyawan merupakan faktor penting dalam menjaga efektivitas operasional, khususnya pada sektor logistik yang memiliki tuntutan pekerjaan tinggi. Penelitian ini bertujuan untuk menganalisis pengaruh beban kerja dan stres kerja terhadap kinerja karyawan Divisi Logistik PT Pos Indonesia KCU Surabaya. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik purposive sampling terhadap 45 karyawan sebagai responden. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan Partial Least Squares-Structural Equation Modeling (PLS-SEM) dengan bantuan SmartPLS 4.0. Hasil penelitian menunjukkan bahwa beban kerja berpengaruh negatif signifikan terhadap kinerja karyawan, yang mengindikasikan bahwa meningkatnya
tuntutan kerja cenderung menurunkan efektivitas dan produktivitas. Selain itu, stres kerja juga terbukti berpengaruh negatif signifikan terhadap kinerja karyawan, sehingga semakin tinggi tingkat stres yang dialami, semakin menurun kinerja yang ditunjukkan. Temuan ini memberikan pemahaman penting bagi perusahaan dalam upaya meningkatkan kinerja karyawan melalui pengelolaan beban kerja dan pengendalian sumber stres di lingkungan kerja
PERAMALAN KUNJUNGAN WISATAWAN MANCANEGARA MENGGUNAKAN MODEL SARIMA-XGBOOST DENGAN OPTIMASI OPTUNA
No full textThe Indonesian tourism sector has experienced significant changes following the COVID-19 pandemic, highlighting the need for accurate forecasting systems to support data-driven policy decisions. This study aims to predict the number of international tourist arrivals through six international airports in Indonesia using a combination of SARIMA and XGBoost models optimized with Optuna. The data used are monthly observations from January 2008 to December 2024. In this combined approach, SARIMA captures long-term trends and seasonal patterns, while XGBoost models the residuals to correct prediction errors. Hyperparameter optimization using Optuna was conducted to obtain the best-performing model configuration. The results indicate that the optimized SARIMA-XGBoost combination achieves the highest prediction accuracy across all airports, with MAPE values of 3.08% for Ngurah Rai, 3.73% for Soekarno-Hatta, 6.36% for Juanda, 6.82% for Kualanamu, 3.07% for Sam Ratulangi, and 7.84% for Minangkabau. Hyperparameter optimization consistently improved prediction accuracy compared to models without optimization. Therefore, the SARIMA-XGBoost-Optuna combination represents an effective and reliable approach to support planning and decision-making in the Indonesian tourism sector
BIOENKAPSULASI Streptomyces sp. DENGAN SODIUM ALGINAT UNTUK PENGENDALIAN Fusarium sp. TANAMAN BAWANG MERAH
No full textFusarium wilt disease in shallots is a significant problem that can reduce production. This study aims to evaluate the effect of sodium alginate concentrations (2%, 2.5%, and 3%) on the characteristics of Streptomyces sp. bioencapsulation beads, as well as their effectiveness in suppressing disease intensity and increasing plant growth. In vitro tests showed that a 3% sodium alginate concentration was able to maximize the viability of Streptomyces sp. in the 4th week of 5.7 x 1011 CFU/mL and had a bead morphology of 0.17 mm in diameter with the highest bioencapsulation efficiency of 79.18% and the lowest bead swelling value from 69.4% to 74.6%. In the in vivo test, the combination of beads with a concentration of 3% sodium alginate with an application time of 7 days before planting had the lowest disease intensity value of 6.67%, the highest average plant length of 49.26 cm and the highest number of leaves, namely 29 strands, while the best tuber weight was obtained from the combination of 3% sodium alginate concentration treatment with an application time that coincided with transplanting, namely weighing 24.07 grams.
Keyword: Bioencapsulation, alginate, Streptomyces sp., Fusarium, Shallot
ANALISIS KINERJA KARYAWAN TERHADAP PRODUKTIVITAS KERJA PADA KARYAWAN PT. XYZ
No full textthe analysis of human resource performance on work productivity, particularly in the Water Resources Planning Division through involvement in various activities of the Water Resources Council (DSDA). The analysis was conducted based on direct observation during the internship, which included the preparation of meeting reports, updating the Water Resources Management Plan (RPSDA) matrix, recapitulating meeting minutes, and supporting cross-sector coordination in commission meetings and plenary sessions. The performance of staff and work teams was analyzed using indicators such as discipline, timeliness, work skills, accuracy, responsibility, and the ability to work collaboratively, all of which were proven to influence the smooth preparation of planning documents and the realization of the 2023–2024 work programs. The results indicate that employees with strong performance and coordination were able to improve the effectiveness and quality of task completion, while constraints such as delays in data submission, lack of document consistency, and inter-agency communication barriers remained significant factors hindering productivity. Therefore, improvements in the performance evaluation system, strengthening of internal and external coordination, and optimization of information systems are required to support more effective and sustainable work productivity in provincial water resources management
Pengaruh Tingkat Partisipasi Angkatan Kerja, Pertumbuhan Penduduk, Rata-Rata Lama Sekolah dan Upah Minimum Terhadap Tingkat Pengangguran Terbuka di Provinsi Jawa Barat
No full textABSTRACT
The Open Unemployment Rate (TPT) in West Java Province is a crucial macroeconomic indicator that requires in-depth analysis considering the demographic and industrial dynamics in the region. This study aims to analyze the simultaneous and partial effects of the Labor Force Participation Rate (TPAK), Population Growth, Average Years of Schooling (RLS), and Provincial Minimum Wage (UMP) on the TPT in West Java during the period 2009–2023. Using a quantitative method with a causality approach and correlational design, secondary time series data were analyzed using Multiple Linear Regression. The results of the simultaneous test (F Test) show that the four independent variables together have a significant effect on the TPT, with a contribution of 51.6% (Adjusted R2 = 0.516). Partially (t Test), it was found that: (1) TPAK does not have a significant effect on the TPT; (2) Population Growth has a significant and negative effect, reflecting its role as a stimulus for Aggregate Demand; (3) RLS has a significant and positive effect, indicating the phenomenon of educated unemployment or skill mismatch; and (4) the UMP has a significant and negative effect, confirming its role as a Keynesian purchasing power stimulus instrument and is the most dominant variable. In conclusion, unemployment in West Java is driven by structural challenges (educational mismatch) which are offset by the effectiveness of the UMP as a purchasing power stabilization policy, but is not significantly influenced by the rate of individual labor force participation. The implication is that policy should focus on reorienting vocational education and maintaining a strategic minimum wage policy.
Keywords: Labor Force Participation Rate, Population Growth, Average Years of Schooling, Provincial Minimum Wage, Open Unemployment Rat
Analisa Kegagalan Piston Kompresor C-412 Menggunakan Metode Failure Mode and Effect Analysis (FMEA)
No full textUnexpected failures in reciprocating compressor pistons in the petrochemical industry not only threaten production efficiency, but also pose significant safety risks due to extreme operational loads. This study offers a preventive approach to mitigating these risks in the C-412 Compressor unit at PT Petro Oxo Nusantara by integrating Failure Mode and Effect Analysis (FMEA) risk analysis and technical verification through piston clearance measurements. Through an in-depth evaluation of severity, occurrence, and detection parameters, this study successfully isolated the Piston Ring and Ring Grooves as the most critical components with Risk Priority Numbers (RPN) of 36 and 27, respectively, which significantly exceeded the critical threshold of 20.2. The corrective interventions proved effective, validated by post-repair clearance measurement data that returned to precision in accordance with operational standards. These findings provide a new strategic foundation for maintenance management to shift from routine maintenance to risk-based maintenance to ensure sustainable system reliability.
Keywords: Reciprocating Compressor, Piston, FMEA, Risk Priority Number, Preventive Maintenance