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Sustainable Logistics Through Waterways: Balancing Cost, Efficiency, and Environmental Impact
Full text linkThe use of various modes of transportation in transporting goods and passengers certainly presents each advantage. However, transporting logistics by land has various negative impacts such as pollution, congestion, and excessive dependence on land transportation [19]. The use of land transportation modes also has an impact on the high cost per kilometer with the same distance traveled. The use of inland waterways as a mode of logistics transportation has increased in recent years especially in Europe and Asia, of course this is driven by the benefits offered. The main objective of this study is to analyze and compare the effectiveness of sustainable logistics using inland waterway modes, especially in the context of cost, operational efficiency, and environmental impact. This research aims to provide an in-depth insight into the potential benefits and challenges faced in implementing an inland waterway-based logistics system. The method used to find data and information is to use the literature study method that discusses the use of inland waterways. From the results of the studies collected and analyzed, it was found that Inland Waterway has many positive impacts and greater benefits when compared to using other transportation routes. In addition, the application of Inland Waterway has succeeded in reducing air pollution levels, reducing shipping costs, and as the most environmentally friendly branch of water transportation
How To Measure Knocking Intensity In Dual-Fuel Internal Combustion Engines : A Review
Full text linkInternal combustion engines (ICE), especially diesel engines, require additional (secondary) fuel to improve their gas emissions. The selection of hydrogen as a secondary fuel in a diesel dual fuel (DDF) system is meaningful because it does not contain carbon to support exhaust gas decarbonization. Hydrogen also has a high calorific value, which can be a threat of knocking in the engine during operation. Early detection of knocking can prevent further damage to the piston and cylinder. Experts apply pressure and frequency calculations to measure the intensity of knocking. The results obtained in a homogeneous charge compression ignition (HCCI) engine were that slight knocking occurred at a hydrogen-air ratio above 0.3, and heavy knocking rose at a hydrogen-air ratio of 0.45
Behavior Swelling-Shrinkage of Residual Soils as Chemically Stabilized
Full text linkThe soils of Balikpapan belong to the soft to medium soil group, consisting of residual and sedimentary soils. Residual soil generally has granules in the silty soil group. Residual soil has a high shear strength when dry, shrinks when wet, and has a large capacity, so this soil has a low bearing capacity when wet. Potential swelling and shrinkage can occur due to changes in soil volume caused by changes in the level of liquid in the soil cavity. Soil swelling and shrinkage can cause damage to the building structure. Helmut is a blend of chemicals that act as soil stabilizers, such as lime and polymers. Helmut is a new chemical ingredient being developed by researchers. The soil stabilization method was to mix the soil with additives such as Helmut. The mixing of the original Balikpapan soil with the Helmut additive in the laboratory was manually done by adding the additive materials at 1, 2, 4, 6, 8, and 10% to the dry weight ratio of the soil and the optimum moisture content. The results showed that the Balikpapan soil had good physical and mechanical properties; the potential for shrinkage was also low, as indicated by a low activity value of A = 0.365 and a shrinkage limit of 16.99%. Soil stabilized with Helmut additives showed improved physical and mechanical properties, and soil activity decreased
Analisis Debit Puncak DAS Bengkenang Air Ndelengau Desa Ganjuh Kabupaten Bengkulu Selatan Menggunakan Pemodelan HEC-HMS Dengan Metode SCS Curve Number
Full text linkDesa Ganjuh merupakan salah satu kawasan dari Daerah Aliran Sungai (DAS) Bengkenang Air Ndelengau Kabupaten Bengkulu Selatan Provinsi Bengkulu. Daerah ini berpotensi terjadi banjir saat curah hujan tinggi seperti yang dialami pada tahun 2022. Penelitian ini bertujuan untuk mengetahui besar dan waktu debit puncak yang tercermin melalui pemodelan hidrograf. Pemodelan hidrograf dilakukan berdasarkan metode SCS Curve Number dengan bantuan Program HEC-HMS (Hydrologic Engineering Centre-Hydrologic Modelling System). Data curah hujan yang digunakan adalah curah hujan dalam 15 tahun terakhir, mulai dari tahun 2009 sampai dengan tahun 2023. Hasil penelitian ini dapat diperoleh debit puncak dengan kala ulang 2 tahun, 5 tahun, 10 tahun, 25 tahun, dan 50 tahun, berturut-turut adalah sebesar 180,4 m3/s; 232,4 m3/s; 249,8 m3/s; 266,9 m3/s; dan 277,3 m3/s. Waktu puncak terjadi pada sore hari dengan waktu simulasi selama 24 jam, awal simulasi terjadinya hujan pada pukul 18.00 tanggal 01 Januari 2023 dan akhir simulasi terjadinya hujan pada pukul 18.00 tanggal 02 Januari 2023. Penelitian ini dapat digunakan sebagai pedoman dalam pengelolaan sumber daya air di DAS Bengkenang
Spatial Survival Analysis of Stroke Hospitalizations: A Bayesian Approach
Full text linkSurvival analysis encompasses a range of statistical techniques used to evaluate data where the outcome variable represents the time until a specific event occurs. When such data is collected across different spatial regions, integrating spatial information into survival models can enhance their interpretive power. A widely adopted method involves applying an intrinsic conditional autoregressive (CAR) prior to an area-level frailty term, accounting for spatial correlations between regions. In this study, we extend the Bayesian Cox semiparametric model by incorporating a spatial frailty term using the Leroux CAR prior. This approach aims to enhance the model's capacity to analyze stroke hospitalizations at Labuang Baji Hospital in Makassar, with a particular focus on exploring the geographic distribution of hospitalizations, length of stay (LOS), and factors influencing patient outcomes. The dataset, derived from the medical records of stroke patients admitted to Labuang Baji Hospital between January 2022 and June 2024, included variables such as LOS, discharge outcomes, sex, age, stroke type, hypertension, hypercholesterolemia, and diabetes mellitus. The analysis revealed that stroke type was a significant determinant of hospitalization outcomes. Specifically, ischemic stroke patients exhibited faster recovery times than those with hemorrhagic strokes, with a hazard ratio of 1.892, representing an 89% greater likelihood of recovery. Additionally, stroke patients across all districts treated at Labuang Baji Hospital demonstrated similar average recovery rates and discharge durations
Modeling Youth Development Index in Indonesia Using Panel Data Regression for Binary Response with Random Effect
Full text linkIndonesia has the largest youth population in Southeast Asia, yet its Youth Development Index (YDI) ranks only fifth in the region. This study aims to fill the gap in empirical research by modeling the YDI in Indonesia using binary logit and binary probit regressions with random effects, based on panel data from 34 provinces during 2020–2022. The YDI categories are defined according to the national target of 57.67 set by the Ministry of Youth and Sports Affairs. The analysis reveals that the binary probit model performs better than the binary logit model, with a classification accuracy of 93.14% and a McFadden R-squared of 0.4064. Gender Inequality Index (GII) and Expected Years of Schooling (EYS) significantly affect the likelihood of achieving the YDI target. These results highlight the critical role of gender equality and education in advancing youth development in Indonesia. The binary probit model provides a practical tool for policymakers to predict and evaluate the effectiveness of development programs targeting youth outcomes. This research not only contributes methodologically to the study of youth development using advanced econometric models but also offers policy-relevant insights that support the strategic goals of Indonesia Emas 2045. By identifying key leverage points such as gender equity and education access, the findings reinforce the importance of inclusive and evidence-based planning to nurture a generation of resilient, empowered, and high-performing youth who can lead Indonesia toward a prosperous future
The Continuum Regression Analysis with Preprocessed Variable Selection LASSO and SIR-LASSO
Full text linkAnalyzing high-dimensional data is a considerable challenge in statistics and data science. Issues like multicollinearity and outliers often arise, leading to unstable coefficients and diminished model effectiveness. Continuum regression is a useful method for calibration models because it effectively handles multicollinearity and reduces the number of dimensions in the data. This method condenses data into autonomous latent variables, resulting in a more stable, precise, and reliable model. It is possible to use the dimensionality reduction method without losing any important information from the original data. This makes it a useful tool for making calibration models work better. In the initial phase, minimizing dimensions via variable selection is crucial. The study aims to build and test the Continuum Regression calibration model using LASSO and SIR-LASSO variable selection preprocessing methods. SIR-LASSO is a method that integrates SIR with the variable selection capabilities of LASSO. This technique aims to handle high-dimensional data by identifying relevant low-dimensional structures. LASSO improves variable selection by applying a penalty to regression coefficients, reducing the impact of less significant or redundant variables. The integration improves SIR's efficacy in assessing high-dimensional data while also enhancing model stability and interpretability. This approach seeks to address the issues of multicollinearity and model instability. We conducted simulations using both low-dimensional and high-dimensional datasets to assess the efficacy of CR LASSO and CR SIR-LASSO. RStudio version 4.1.3 was used for the analysis. The "MASS" package was used to create data with a multivariate normal distribution. The "glmnet" package was used for LASSO variable selection, and the "LassoSIR" package was used for SIR-LASSO variable selection. In the simulation itself, LASSO surpasses SIR-LASSO in variable selection by yielding the lowest RMSEP value in every scenario. On the other hand, SIR-LASSO becomes less stable as the number of dimensions increases, which suggests that it is sensitive to large changes in variables. As shown by lower median RMSEP values across a range of sample sizes and situations, CR LASSO is usually better at making predictions than SIR-LASSO. The RMSEP distributions for LASSO are consistently tighter, which means that its performance is more stable and reliable compared to SIR-LASSO, whose data has more outliers and more variation. Even with a growing sample size, LASSO maintains its advantage, particularly when setting the value at 0.5. SIR-LASSO, although occasionally competitive, generally yields more variable results, particularly with larger sample sizes. Overall, LASSO appears to be a more reliable option for CR model with pre-processed variable selection
Analisis Pengaruh Bonus Demografi Terhadap Pembangunan Manusia Jawa Timur
No full textPenelitian ini bertujuan untuk menganalisis pengaruh bonus demografi terhadap pertumbuhan ekonomi di Provinsi Jawa Timur. Bonus demografi merupakan sebuah potensi dari usia produktif yang tidak akan terulang lagi dalam waktu yang lama. Oleh karena itu, perlu dimaksimalkan, terutama dalam komponen yang mendukung pertumbuhan ekonomi dan pembangunan manusia, khususnya di Jawa Timur. Bonus demografi menawarkan kesempatan unik bagi peningkatan produktivitas ekonomi melalui peningkatan jumlah tenaga kerja produktif, yang dapat berkontribusi signifikan terhadap pendapatan per kapita dan kualitas hidup masyarakat. Tujuan dari penelitian ini adalah untuk mengidentifikasi perkembangan demografi di Provinsi Jawa Timur, menganalisis pengaruh bonus demografi terhadap ekonomi di Jawa Timur, serta mengetahui dampak bonus demografi terhadap pembangunan manusia di wilayah tersebut. Penelitian ini menggunakan metode kuantitatif dengan pendekatan ekonometrika regresi data panel. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari Badan Pusat Statistik (BPS), termasuk rasio ketergantungan, PDRB per kapita, dan Indeks Pembangunan Manusia (IPM). Hasil penelitian menunjukkan adanya pengaruh signifikan antara bonus demografi dan variabel kontrol terhadap pertumbuhan ekonomi di Provinsi Jawa Timur. Demikian pula, terdapat pengaruh yang signifikan antara bonus demografi dan variabel kontrol terhadap pembangunan manusia di wilayah ini. Penelitian ini menyimpulkan bahwa bonus demografi dapat meningkatkan pertumbuhan ekonomi dan pembangunan manusia di Provinsi Jawa Timur. Oleh karena itu, diperlukan kebijakan yang tepat untuk memaksimalkan potensi bonus demografi, termasuk investasi dalam pendidikan, kesehatan, dan penciptaan lapangan kerja. Penelitian ini memberikan rekomendasi kepada pemerintah Provinsi Jawa Timur untuk terus mengimplementasikan kebijakan yang mendukung pengembangan sumber daya manusia dan infrastruktur ekonomi. Upaya ini mencakup peningkatan akses terhadap pendidikan tinggi dan pelatihan keterampilan, serta program kesehatan preventif yang dapat meningkatkan produktivitas tenaga kerja. Dengan memanfaatkan bonus demografi secara efektif, Provinsi Jawa Timur dapat mencapai pertumbuhan ekonomi yang berkelanjutan dan meningkatkan kualitas hidup masyarakatnya
ELDERLY BEHAVIOR SETTING TO RESPONDING ERUPTION DISASTER AT THE TRESNA WERDHA SOCIAL SERVICE CENTER, PAKEMBINANGUN
Full text linkThe purpose of this study is to investigate how the elderly respond to disaster situations involving volcanic eruptions in Indonesia. The study was conducted at the Tresna Werdha Social Service Center (Balai Pelayanan Sosial Tresna Werdha—BPSTW) in Pakembinangun, located 14 km from the summit of Mount Merapi, the most active volcano in Indonesia. This research applied an in-depth analysis of the behavior settings of vulnerable elderly groups using a deductive-qualitative research method. The data collection methods included observation, behavior mapping, time budgeting, and interviews. The research results include the formulation of standard behavior patterns of the elderly in responding to the potential for volcanic eruptions, particularly at BPSTW: 1) Comfort and safety are obtained from rooms/lodgings that have high accessibility and visibility (close to exits and close to assembly areas); 2) Elderly individuals with total physical disabilities and severe mental impairments require assistance for emergency response activities, necessitating quick connectivity in terms of accessibility and visibility for caregivers and other elderly individuals (mutual assistance); 3) Agreement on the division of roles and responsibilities between managers and the elderly in emergency response activities (formation of an emergency response team; regular disaster mitigation training). These behavioral settings can contribute to the basic knowledge of inclusive design, particularly for vulnerable elderly groups in responding to specific conditions related to volcanic eruption disasters
Faktor-faktor yang Berkontribusi terhadap Kesuksesan Proyek Pengedokan Kapal
Full text linkKapal sebagai moda transportasi laut utama yang mendukung aktivitas logistik di Indonesia wajib melakukan pengedokan secara berkala. Proyek pengedokan kapal tersebut sering mengalami berbagai tantangan yang menyebabkan kriteria kesuksesan proyek sulit dicapai. Penelitian ini bertujuan untuk menguji kontribusi dari faktor kepemimpinan, pengelolaan proyek, komunikasi, sumber daya manusia (SDM), dan lingkungan terhadap kesuksesan proyek pengedokan kapal. Survei cross-sectional dengan metode purposive sampling dilakukan kepada 47 orang yang terdiri dari pimpinan proyek, supervisor, staff, serta pelaksanan produksi. Analisis korelasi pearson menunjukkan bahwa faktor kepemimpinan, pengelolaan proyek, dan SDM secara parsial berpengaruh positif terhadap kesuksesan proyek pengedokan kapal. Selanjutnya, melalui analisis regresi linear berganda ditemukan bahwa faktor kepemimpinan, pengelolaan proyek, komunikasi, SDM dan lingkungan secara simultan berpengaruh terhadap kesuksesan proyek pengedokan kapal, dengan faktor yang paling berkontribusi adalah faktor kepemimpinan. Oleh karena itu, pihak galangan kapal perlu untuk lebih memperhatikan faktor kepemimpinan proyek dengan memastikan proyek pengedokan kapal dipimpin oleh pemimpin yang kompeten dan berkualitas