Journal La Multiapp

Evaluation of Slope Stability in Mining Areas Using the Morgenstern Price Method

Haeriska Haeriska — 2025-10-07

Indonesia’s mining sector, particularly in areas like Morowali Regency, Central Sulawesi, faces significant geotechnical challenges due to its location in the Pacific Ring of Fire. One of the key concerns in open-pit mining operations is slope instability, which can lead to landslides, threaten worker safety, damage infrastructure, and disrupt production. This study evaluates the slope stability in the Sambalagi site of PT. Wosindo Berkat Abadi using the Morgenstern-Price method, a limit equilibrium approach known for its accuracy in heterogeneous slope conditions. Field data were collected, including slope geometry, geological conditions, material strength, and hydrogeological factors. The safety factor (FK) was calculated based on geotechnical parameters such as cohesion, internal friction angle, and unit weight of the slope materials primarily saprolite and limonite. The actual slope FK value at PIT D was found to be 0.974, below the standard requirement (≥1.3) set by the Ministerial Decree No. 1827K/30/MEM/2018. To improve stability, a revised slope design was proposed, including reducing slope angles to 35°, increasing bench widths to 2 meters, and decreasing slope height per bench to 4 meters. The simulation of this revised geometry showed that it could achieve the required FK value. The study contributes to safer and more efficient mine planning by demonstrating the importance of integrating detailed geotechnical analysis in slope design, especially in tropical high-rainfall mining regions.

Strengthening MSME Digital Transformation through Android-Based Geolocation Mapping: Implementation of Location-Based Services and the Haversine Formula

Herry S. Langi — 2025-10-09

Information and Communication Technology (ICT) plays a strategic role in reducing socio-economic disparities and accelerating inclusive development, especially in rural areas. In Indonesia, Micro, Small, and Medium Enterprises (MSMEs) are the dominant sector, absorbing over 96% of the workforce and contributing around 60% to the national Gross Domestic Product (GDP). However, many MSME actors particularly in remote regions such as North Sulawesi still face challenges in accessing digital markets due to limited technology adoption and lack of business location exposure. This study aims to develop an Android-based application that integrates geolocation services through the implementation of Location-Based Services (LBS) and the Haversine formula. LBS is used to detect users' real-time locations via GPS, while the Haversine formula calculates the precise distance between users and MSME locations. The application is designed to send automatic notifications when a user is within a 1000-meter radius of a registered MSME location. This research adopts a software engineering approach through the design of context diagrams, system flowcharts, and the implementation of the Haversine algorithm using the Dart programming language. Testing results show that the distance difference between the application and Google Maps ranges only from 1.5 to 2.9 meters, and the distance calculated by the application matches 100% with online Haversine calculators. These findings indicate that the system has high accuracy and is feasible to be applied as a solution to improve MSME visibility, enhance community digital literacy, and strengthen the local economy through e-commerce.

Comparative Analysis of the Support Capacity and Settlement of Bored Pile Foundations Using Manual Methods and Allpile Software: Case Study

Syarif Hidayatulloh — 2025-10-09

Foundations are structural elements that function to bear the load of a building and transfer it to the ground to a certain depth. Foundations must be designed so that the transferred load does not exceed the bearing capacity of the soil, as this can cause excessive settlement and lead to structural collapse. The purpose of this study is to determine the comparison of bearing capacity and settlement of bored pile foundations in the Poltekkes Kemenkes Mataram building using two approaches: the manual method and the Allpile software. The analysis was conducted based on secondary data obtained from the Detailed Engineering Design (DED), results of the Standard Penetration Test (SPT), and laboratory soil test results. The results of the manual Meyerhof method yielded an ultimate bearing capacity of 13,127.79 kN and a single pile settlement of 0.0455 m. The manual Reese and Wright method yielded an ultimate bearing capacity of 2,697.3453 kN and a single pile settlement of 0.0241 m. Meanwhile, the Allpile software calculation yielded an ultimate bearing capacity of 14,391.891 kN and a single pile settlement of 0.0027 m. All settlement values, both for single piles and groups, remain below the maximum permitted limit.

Literature Review on Vehicle Routing Problem: Approaches, Algorithms and Current Challenges

Mery Andani Pangaribuan — 2025-10-13

The Vehicle Routing Problem (VRP) is one of the basic combinatorial optimization problems that takes a central place in the sphere of logistics, transportation, and supply-chain management. A systematic literature review (SLR) of VRP scholarship dated 2000 to 2025 is conducted herein, where over 500,000 publications are analyzed to carry out the study of VRP solutions evolution and methodological advancements as well as their practical use. The results highlight the current popularity of metaheuristic algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO), in solving complex variants of VRP, in particular, the Capacitated Vehicle Routing Problem (CVRP) and the Vehicle Routing Problem with Time Windows (VRPTW). The combination of real-time data streams, machine-learning methods and adaptive algorithms represents a revolutionary track, and helps to develop more active and responsive VRP models. Moreover, increased attention to sustainability and green logistics has triggered the development of the eco-efficient VRP models, which combine the use of electric vehicles (EVs) and energy-consumption optimization. The spread of autonomous vehicles presents new opportunities and threats to future VRP solutions, particularly in the area of urban freight and last-mile delivery. In conclusion, the review outlines future streams of research, highlighting the need to find adaptive, sustainable, and autonomous VRP models that can resolve the growing complexities in the modern world of logistics.