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All Journal Al-Aqlu : Jurnal Matematika, Teknik dan Sains Semeton Mathematics Journal
Rahmi, Dhea Wasila
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Mathematics

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PERAMALAN EKSPOR MIGAS BERBASIS EKSTRAPOLASI POLINOMIAL CHEBYSHEV: Forecasting of Oil and Gas Exports Based on Chebyshev Polynomial Extrapolation Sabina, Sabna Zulfaa; Rahmi, Dhea Wasila; Awwaliyah, Razma Rizqiyyah; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.141

Abstract

Exports play a strategic role in supporting the country's revenue. The oil and gas sector, as one of Indonesia's primary natural resources, contributes significantly to national economic growth. Indonesia's oil and gas production currently exhibits an unstable trend, influenced by the dynamics of global prices and demand. This research aims to forecast Indonesia's oil and gas export volume in 2025 using the Chebyshev extrapolation method. The Chebyshev extrapolation method is chosen due to its ability to produce more accurate predictions for data outside the available time range. The data used includes monthly export volumes of the oil and gas sector from 2019 to 2024. In the analysis, a fourth-degree Chebyshev polynomial is applied to project future export trends. The Mean Absolute Percentage Error (MAPE) for the Chebyshev extrapolation model is 12,10%. The forecasting results indicate an increase in monthly oil and gas exports in 2025, with the lowest value recorded in January at 1.373,70 and the peak export in December at 1.805,33. Overall, this prediction indicates the stability of oil and gas export volumes with a tendency towards an increasing trend compared to the previous year.
Traffic Waiting Time Optimization: An Effective Effort to Overcome Congestion at Gede Ngurah Cakranegara Intersection Setiawati, Setiawati; Rahmi, Dhea Wasila; Syauqi, Shofiyurrahman; Purnamasari, Dara
Semeton Mathematics Journal Vol 1 No 1 (2024): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i1.206

Abstract

Intersections are places that are prone to traffic congestion. This is due to the location and function of the intersection, which if left unchecked will lead to accidents. To overcome this problem, traffic lights are made to regulate traffic flow conditions. Gede Ngurah Cakranegara Intersection is an intersection that has high congestion conditions, this is due to its location in the city center and its function as a main road. In addition, the trigger for congestion at the Gede Ngurah Cakranegara intersection is the waiting time which is still not optimal and the lack of orderly drivers in obeying the traffic lights. Thus, the purpose of this study is to optimize the total waiting time at the Gede Ngurah Cakranegara intersection. Total waiting time optimization is done using compatible graph. The compatible graph in this case will describe the condition of traffic flows that will run simultaneously without interfering with each other, so that they are safe and do not collide with each other. This study uses primary data obtained from field observations conducted in the morning, afternoon and evening. After optimization, the total waiting time at the Gede Ngurah Cakranegara intersection following the light signal is 180 seconds and the total waiting time for those who do not follow the light signal is 120 seconds. Compared to the previous waiting time of 538 seconds, a more optimal time was obtained.
Co-Authors Awwaliyah, Razma Rizqiyyah Purnamasari, Dara Robbaniyyah, Nuzla Af’idatur Sabina, Sabna Zulfaa Setiawati Setiawati Syauqi, Shofiyurrahman Tri Maryono Rusadi