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All Journal Jurnal Akademik Pengabdian Masyarakat JURNAL ILMIAH PENELITIAN MAHASISWA
Andantino Putra Palsamu
Universitas Tanjungpura
Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Social Sciences

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ANALISIS ARUS LALU LINTAS DI SIMPANG TAK BERSINYAL (Studi Kasus: Simpang Jalan Raden Gunawan – Jalan Ganjaran – Jalan Terusan Teuku Imam Bonjol di Negeri Sakti Kabupaten Pesawaran) Chandra Alip Pratama; Andantino Putra Palsamu
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 4 No 2 (2026): Jurnal Ilmiah Penelitian Mahasiswa (JIPM) April 2026
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v4i2.2986

Abstract

Crossroads are places where traffic conflicts occur. The traffic volume that can be accommodated by the road network is determined by the intersection capacity of the road network. The performance of an intersection is the main factor in determining the most appropriate handling to optimize the intersection function. With the declining performance of intersections, it will cause losses to road users due to a decrease in speed, an increase in delay, and a queue of vehicles, resulting in an increase in vehicle operating costs and a decrease in environmental quality. Interference with traffic flow will cause prolonged congestion, especially if there are no effective arrangements such as traffic lights, for example at intersections that have heavy traffic flows, particularly at peak hours in the morning, afternoon, and evening. Given these intersection conditions, which support the occurrence of traffic congestion and accidents because the area is a road leading to the National road with increasing traffic, the researcher aims to examine the unsignalized intersection performance and the potential relationship of the traffic movement capacity on the minor road entering the intersection against the volume of traffic conflicts, under the title "Three-Arm Unsignalized Intersection in Negeri Sakti District, Kurungan Nyawa Village, Pesawaran Regency (Intersection of Jl. Ganjaran – Jl. Raden Gunawan – Jl. Terusan Teuku Imam Bonjol)". The Indonesian Road Capacity Manual (MKJI 1997) states that the measures of traffic performance include capacity (C), degree of saturation (DS), delay (D), and queue probability (QP%).
PENGARUH HAMBATAN SAMPING TERHADAP VOLUME LALU LINTAS DENGAN MENGGUNAKAN REGRESI LINIER BERGANDA (Studi Kasus: Ruas Jalan Ryacudu Kota Bandar Lampung) Chandra Alip Pratama; Andantino Putra Palsamu; Estu Emma Apriliana
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 4 No 2 (2026): Jurnal Ilmiah Penelitian Mahasiswa (JIPM) April 2026
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v4i2.2987

Abstract

Lampung is the southernmost province on the island of Sumatra and serves as the gateway to land and sea transportation from Sumatra to Java. Its provincial capital, Bandar Lampung, as the center of the city is not free from congestion problems. Ryacudu Road is one of the densest roads in Bandar Lampung City, particularly in the Sukarame sub-district connecting the Way Halim Fly Over and the Ryacudu Canal Road. Points of congestion occur along this road, namely illegal parking on the right and left sides of the road caused by side friction. As side friction increases, this study aims to examine how much side friction influences the traffic volume on Ryacudu Road, under the title "The Effect of Side Obstacles on Traffic Volume Using Multiple Linear Regression (Case Study: Ryacudu Road Section, Bandar Lampung City)". Field observations were carried out for two days, one holiday and one busy day (Monday 13 May 2019 and Saturday 18 May 2019), during peak hours 06.00 - 18.00 WIB. The data were analyzed using MKJI 1997 and Microsoft Excel. The results show that the highest traffic volume was 544.6 pcu/hour at 12.00-13.00 WIB on Saturday 18 May 2019, while the highest side friction was 224 pcu/hour at 14.00-15.00 WIB on Monday 13 May 2019, of the vehicle entering/exiting type, classified as high (H). From the regression modeling, a positive model was obtained on Saturday, with the highest value on the regression equation between entering/exiting vehicles and slow vehicles against traffic volume, namely 62.8%. Y = a + b3X3 + b4X4 = 25.053 + 2.566X3 + 8.198X4 With the coefficient of determination (R2) of 0.621
Peningkatan Kompetensi Analisis Data Mahasiswa Teknik Sipil Universitas Tanjungpura Melalui Software Statistik Andantino Putra Palsamu; Erdin Fahlefi
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 4 No. 4 (2026): JULI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v4i5.12440

Abstract

Quantitative data analysis is an important competency for Civil Engineering students in supporting learning, research, and the preparation of undergraduate theses. However, the utilization of statistical software such as SPSS in the Civil Engineering Study Program, Faculty of Engineering, Universitas Tanjungpura, has not yet been implemented optimally and systematically. This condition is influenced by the limited availability of practical guidelines, standardized training datasets, and systematically scheduled practice sessions. This activity aims to improve students’ competencies in quantitative data processing and analysis through the use of statistical software. The implementation methods included the development of a practical SPSS e-module, provision of training datasets, implementation of a Paired Sample T-Test practical session, development of assessment instruments, and evaluation through questionnaires and mini-projects. The e-module was systematically developed, covering data input, statistical analysis procedures, and interpretation of SPSS output. The evaluation involved 29 students from the Civil Engineering Study Program enrolled in the Statistics and Probability course in the second semester. The evaluation results showed that the majority of students understood the basic functions of SPSS, were able to perform simple data analyses, and responded positively to the use of SPSS in learning activities. A total of 22 students (75.9%) stated that they strongly understood that SPSS is used for statistical data analysis, while 18 students (62.1%) stated that they understood the basic steps for using SPSS. In addition, 22 students (75.9%) strongly agreed that the use of SPSS in learning activities had been implemented effectively and systematically. Therefore, the implementation of SPSS-based e-modules, practical sessions, and mini-projects can improve students’ understanding and skills in quantitative data analysis while supporting systematic, practical, and technology-based learning. The program also produced digital learning materials that can be used independently and continuously developed to support students’ research data analysis needs.
Co-Authors Chandra Alip Pratama Erdin Fahlefi Estu Emma Apriliana