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All Journal Jurnal Inovator Jurnal Teknik Mesin Cakram Piston: Journal of Technical Engineering Jurnal Media Teknik dan Sistem Industri Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Research lembaran publikasi Ilmiah International Journal of Business, Law, and Education MECHA JURNAL TEKNIK MESIN Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Journal Of Human And Education (JAHE) Piston: Jurnal Teknologi Indonesian Research Journal on Education International Journal of Multidisciplinary Approach Research and Science Journal of Community Service and Society Empowerment Journal of Social Science Utilizing Technology Jurnal Cendekia Ilmiah Scientific Journal of Engineering Research
Rachmasari Pramita Wardhani
Sekolah Tinggi Teknologi Migas
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Analisis Peramalan Jumlah Kunjungan Mahasiswa Prodi XP Ke Perpustakaan Kampus Dengan Metode Least Square Anzalni, Aulia; Nhajihaq, Nhajihaq; Ananta, Rachel; Rachmasari Pramita Wardhani; Sarungu, Selvia
JURNAL TEKNOSAINS KODEPENA Vol. 6 No. 1 (2025): Jurnal Teknosains Kodepena Volume 6 Nomor 1 Agustus 2025
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v6i1.111

Abstract

A prediction system for determining the number of student visits is one way to determine the priorities and the number of students interested in literacy culture each year. Creating a prediction system requires a robust calculation method, which is why a prediction system is needed. This prediction system uses the Least Squares method. Based on the research conducted, the system can implement the Least Squares method to predict students studying and using library facilities. This helps library administrators prepare the necessary needs for students who wish to study in the library.
Performance Analysis of Maintenance Using the RAM Method (Reliability, Availability, Maintainability) on the Reciprocating Compressor Unit C-4xxx at PT PSX Alief Anugrah; Rachmasari Pramita Wardhani; Bambang Sugeng
Jurnal Media Teknik dan Sistem Industri Vol. 10 No. 1 (2026)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v10i1.5752

Abstract

This study evaluates the maintenance performance of the Reciprocating Compressor C-4XXX unit, which plays a crucial role in the gas production process but frequently experiences disruptions such as unplanned shutdowns, high suction temperatures, and excessive exhaust pressure. The RAM (Reliability, Availability, Maintainability) method is used with historical data from January to November 2024. The research aims to analyze the maintenance performance of the Reciprocating Compressor C-4XXX, as well as to compile proposals for improving maintenance efficiency based on quantitative data and technical analysis using the RAM method, which is expected to provide insight for the management of company as a source of information on the application of the RAM method as a basis for efforts to optimize operations and improve machine performance. The methods used are quantitative analysis of the RAM method, Pareto diagram analysis, fishbone diagram, and 5W+1H improvement proposals. The results show an average Reliability (MTBF) value of 139.50 hours, MTTR of 1.66 hours, and Availability reaching 99.24%. Pareto analysis found the main cause of high temperature pressure disturbances, and Fishbone identified factors causing problems that occurred related to worker consistency, operating conditions, lubrication systems, cooling, and controls. Improvement proposals were prepared using the 5W + 1H analysis, covering aspects of labor, methods, machines, materials, and the environment taken from the fishbone analysis carried out. By using the RAM method for companies can contribute to improving technician competency, select quality components, and improving work procedures supported using information technology.
Penerapan Metode Least Square Pada Peramalan Penggunaan Naocl Pada Proses Produksi Di Unit KPB Wardhani, Rachmasari Pramita; Norhidayah, Siti
Jurnal INOVATOR Vol. 8 No. 1 (2025): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v8i1.469

Abstract

Companies engaged in processing including manufacturing industry must be oriented to the process in addition to production results, in this case the quality of the output must be improved or even maintained, this is to support services to the community of users of the production results. The selection of main raw materials and supporting raw materials and their needs must also be considered and must be right on target so that they can produce production as expected. The existence of forecasting is the one of important ways for companies to face future risks. Therefore, the preparation of the need for the use of Naocl materials in production must certainly be calculated so it will effective when use and efficient in financing. The method can be a method of forecasting the use of raw material needs because this method becomes the form of periodic series data’s that uses historical usage data in the past to forecast the next needs. The method used in this research is the method of quantitative descriptive by taking historical datas by using Naocl raw materials and then processing it using the least square method and obtaining forecast results in the 9th, 10th, 11th, and 12th months in 2023, then the data is processed again based on the annual amount for 2024 and 2025 based on data from 2020, 2021, 2022 and 2023. So the forecast for use in 2024 is 64446.3 liters and in 2025 it is 59662.4 liters from the equation Y = 88365.8 + (-4783.9) X. then the analysis result of the amount of Naocl usage can be predicted that the use of Naocl will decrease, it could be causing from the presence of other raw materials used, or the use of other equipment as support so as reduce using the chemicals material in production process.
Analisis Penggunaan Metode Garis Lurus Pendekatan Least Square Dalam Memprediksi Jumlah Produksi Produk ARB Wardhani, Rachmasari Pramita; Siti Norhidayah
Jurnal INOVATOR Vol. 8 No. 2 (2025): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v8i2.510

Abstract

The company continues to strive to increase production volume in line with customer demand, in this case where sometimes there are obstacles that can hinder the production process so that the resulting product can decrease. Therefore, the company to anticipate a decrease in production volume requires a predictable target by forecasting production that will be produced in the future. This research is expected to use this method to be useful in predicting future production results so that it can later assist company management in determining policies in achieving targets. Data collection techniques are carried out quantitatively using descriptive methods where the implementation is related to data collection and analysis of historical data. Historical data was obtained from ARB product production for 4 years from 2020 to 2023 which was processed using the straight line method with the least square approach and then forecasted again using the same method to predict the amount of production in 2024 and 2025 using the mathematical equation Y = 573,334.93 – 15,359.6X. Analysis from the perspective of the straight line forecasting method with the least square approach can be seen that the decrease in the amount of production is not too significant but further steps are needed to increase the amount of production with other analyses as a stepmaker for company management policies.
Co-Authors Abdul Gafar Karim Aditya, Muhammad Zelhan Ahken Kelvin Sampe Angin Ain Sahara Alief Anugrah Alvin Palullungan Amelia Hayati Ananta, Rachel Anzalni, Aulia Ariel Syahputra Tandi Pasang Arthur C Bida Atala Rifqi Fadilah Bambang Sugeng Debby Nur Fitria Dedy Irawan Dellonix Mealea Vecia Dicky Aditya Maulana Djuhana Djuhana Dorisno Patulak Dullen Arkadius Erwin Gustianta Erwin Gustianta Erwin Gustianta Erwin Gustianta Farhan Naufal Jufri Fitri Oktafiani Guis Pangeran Lemuyaq Heri Cahyono Heri Cahyono, S.T Huldiah Ir.Erwin Gustianta IPM, Ir.Erwin Gustianta,IPM Ir.Ris setri dharma Simanjuntak, M.M Ir.Ris Setri Dharma Simanjuntak.M.M Ir.Rissetridharma Simanjuntak, M.M Irma Andrianti iskandar, raden andang Kusnadi Kusnadi Kusnadi Kusnadi, S.T, M.T Leo Agung Yusuf Leris Pasuang Lukman Lukman Lukman LUKMAN, LUKMAN Manik, Nijusiho Marselius Sarira Mohammad Edy Nurtamam, Mohammad Edy Nhajihaq, Nhajihaq Norhidayah, Siti Paindan, Esterina Natalia Randanan, Eltimeyansi Crisye Rendy Prasetiyo Garanta Rezha Avrimilano Rifky Rivaldo Putra Yudi Ris Setri Dharma Simanjuntak Risna Risna, Risna Rissetri Dharma Simanjuntak Rissetridharma Simanjuntak Rissetridharma Simanjuntak Ritchad Steven Partogi Hasugian Rohima Sera Afifah Rokhilawati, Yeny Sarungu, Selvia Selvia Sarungu Sepryanto Fernandus D Simanjuntak, Cristo Nathanael Rayhan Simanjuntak, Rissetridharma Siti Norhidayah Sri Tirto Madawistama Sugiyarto Sugiyarto Suhaeri Suhaeri Sunarji Syamsu Rijal Wildan Mukhollad Yasin Yuanyuan Wang, Yuanyuan Yusfian