Interval : Jurnal Ilmiah Matematika

PENINGKATAN KINERJA KARYAWAN MELALUI KOMPETENSI, BUDAYA KERJA DAN MOTIVASI KERJA MENGGUNAKAN ANALISIS JALUR DAN SITOREM

2026-02-04T03:54:04+00:00

The success of a company in achieving its goals cannot be separated from the role and performance of the employees within it. In improving employee performance through competency, work culture, and work motivation using path analysis and SITOREM. This path analysis is used to analyze the magnitude of the influence between variables not only directly but also indirectly. In contrast, SITOREM analysis is used to identify the variables theory. Path analysis and SITOREM analysis are a combination method that combines the path analysis method with the results of SITOREM analysis. Through SITOREM analysis, the results of the path analysis method are examined in more detail for research variable indicators, allowing for the identification of indicators that require immediate correction. and maintained or developed. Based on this research, it can be concluded that there is a direct relationship between employee performance, competence, work culture, and work motivation. Indicators that need to be improved are: (1) Handling work obstacles (2) Preparing work reports (3) Assistance from colleagues (4) Rewards (5) Building expertise (6) Driving force (7) Prioritizing quality (8) Sense of belonging (9) Skills (10) Attitude (11) Quality of work, and (12) Punctuality.

Keywords: Employee Performance, Path Analysis, SITOREM

OPTIMASI RUTE DISTRIBUSI PADA HETEROGENEOUS FLEET VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA SWEEP DAN PARTICLE SWARM OPTIMIZATION

2026-02-04T04:03:31+00:00

Distribution plays an important role in a company as a link between the company and its customers. The problem in a company is that it occurs in the product distribution process because it is only based on estimates, so it does not have an optimal distribution route to be used as a reference. This problem is known as the Vehicle Routing Problem (VRP), which is an optimization problem related to determining the optimal route. However, this problem assumes that the vehicles used have the same capacity (homogeneous). In fact, not all companies use vehicles that have the same load capacity as at PT 3S, which has different types of vehicles (heterogeneous), so that the load capacity on each vehicle is different. This type of VRP is known as the Heterogeneous Fleet Vehicle Routing Problem (HFVRP). Therefore, to solve the problem, it is solved using the Sweep Algorithm, as the formulation of customer groups based on the proximity between customers, then each group is optimized using the Particle Swarm Optimization (PSO) Algorithm to find the route that has the shortest mileage. The optimization results for one week resulted in 25 clusters and a total mileage of 4529,1 km and a distribution cost of Rp. 9.956.855, and there is a reduction in the distance of 924,9 km and a distribution cost of Rp. 1.097.245.

Keywords: heterogeneous fleet, particle swarm optimization, route, sweep algorithm, vehicle routing problem

PENGELOMPOKAN KABUPATEN/KOTA BERDASARKAN TINGKAT KEMISKINAN MENGGUNAKAN ANALISIS KLASTER K-HARMONIC MEANS

2026-02-05T02:45:55+00:00

The poverty rate is the proportion of people who are below the poverty line and is seen as an inability to fulfill the basic needs of life. The poverty rate in West Java Province increased by 0.7 percent from 2019 to 2023. In overcoming poverty, it is necessary to group based on regional characteristics using K-Harmonic Means cluster analysis. This research aims to apply the K- Harmonic Means method in analyzing the number of optimal clusters. The data used in this study were taken from the official website of the Central Statistics Agency (BPS) and Open Data JABAR in 2022, including eight variables. The results of this study indicate that the most optimal grouping is 2 clusters based on the sillhoutte coefficient value of 0.909. Cluster 1 has 19 members, namely Bogor Regency, Sukabumi Regency, Cianjur Regency, Bandung Regency, Garut Regency, Tasikmalaya Regency, Ciamis Regency, Kuningan Regency, Cirebon Regency, Majalengka Regency, Sumedang Regency, Indramayu Regency, Subang Regency, Purwakarta Regency, Karawang Regency, West Bandung Regency, Pangandaran Regency, Tasikmalaya City, and Banjar City. Cluster 2 has 8 members, namely Bekasi District, Bogor City, Sukabumi City, Bandung City, Cirebon City, Bekasi City, Depok City, and Cimahi City. Based on the results of the clustering using K-Harmonic Means, it can be said that the districts/cities in Cluster 1 need to be the top priority in efforts to reduce the poverty rate and the second priority is the districts/cities in Cluster 2.

Keywords: K-Harmonic Means, Poverty Rate, Silhouttte Coeficient