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All Journal Teknik Sipil dan Arsitektur Jurnal Teknik Sipil Techno.Com: Jurnal Teknologi Informasi Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains JURNAL SIPIL SAINS Teras Jurnal RACIC : Rab Construction Research SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan SIKLUS: Jurnal Teknik Sipil Jurnal Infrastruktur JMTS: Jurnal Mitra Teknik Sipil Journal of Applied Engineering and Technological Science (JAETS) JURNAL TEKNIK SIPIL UNAYA Jurnal Teknik Sipil dan Arsitektur Jurnal Pengabdian Masyarakat Indonesia Multica Science and Technology Jurnal Penelitian Sekolah Tinggi Transportasi Darat Akselerasi Jurnal Ilmiah Teknik Sipil Teknika Journal of Infrastructure and Civil Engineering Sisfo: Jurnal Ilmiah Sistem Informasi JOMPA ABDI: Jurnal Pengabdian Masyarakat Journal of Infrastructure Planning and Engineering SAINSTEK Jurnal Teknologi & Rekayasa Sipil BATOBO: Jurnal Pengabdian Kepada Masyarakat Jurnal Malikussaleh Mengabdi Hawa : Jurnal Pemberdayaan Dan Pengabdian Masyarakat (HAWAJPPM) Journal of Infrastructure and Construction Technology Jurnal Teknik Sipil
Edi Yusuf Adiman
Universitas Riau
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : multica science and technology

 1 
ANALYSIS OF NOISE MEASUREMENTS IN THE WORK AREA TO THE OPERATOR'S HEARING IN THE PROCESS DEPARTMENT USING THE WORK SEMPLING METHOD Bakhtiar Bakhtiar; Edi Yusuf; Muhammad Reza Fahlevi
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.428

Abstract

PT. Ika Bina Agro Wisesa (IBAS) is one of the palm oil mills on the island of Sumatra, Indonesia. This palm oil factory is located in the village of Guha Uleue, Kuta makmur District, North Aceh District, Aceh province. The problem in this study is to identify and deal with the problems encountered by applying theory and concepts with work and idle calculations carried out using work sampling data on 3 operators in the Drying department. The research was carried out with the work and idle calculation time being carried out for 1 week. All Operators working on the production floor work from 08.00 to 16.00 with breaks from 12.00 to 13.00. The number of minutes from 08.00-12.00 and 13.00-16.00 means the total population in this study is 84. The purpose of this study is to analyze the measurement of noise in employees as seen from the effect of noise. The effect of noise will later be used to determine what is the influence of noise by each employee to complete his work in the process department. As for the results of this study there is an analysis of noise measurements using a Sound Level Meter (SLM) which has a noise level between 81.3 dB(A) to 88.9 dB(A). then PT. Ika Bina Agro Wisesa has a hearing protection program contained in the HSE Code of Practice-00612. The results of the study of measuring noise intensity 8 working hours for the operator position on Personal Noise Level dB (A) boiler 84.4, Personal Noise Level dB (A) polishing drum is 81.3, Personal Noise Level dB (A) ripple mill 88.9 and finally Personal Noise Level dB (a) The sterilizer is 67.7. this is in line with the Decree of the Minister of Manpower and Transmigration No. 13 of 2011 and the Decree of the Minister of Energy and Mineral Resources of the Republic of Indonesia No. 1827 of 2018 which is used to analyze and control noise in the processing plant area.
Determining the Quality of Earthquake Resistant House Buildings Using Simple Additive Weighting (Saw) and Technique For Order Of Preference By Similarity To Ideal Solution (Topsis) Burhanuddin Burhanuddin; Bakhtiar; Emi Maulani; Edi Yusuf
Multica Science and Technology Vol 4 No 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.850

Abstract

This research aims to evaluate the quality of house buildings using the Simple Additive Weighting (SAW) model and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This research uses six main criteria to assess building quality: Material strength, structural design, foundation, construction technology, construction quality, construction costs. With these six variables in determining the evaluation of house building materials. Determining the final ranking of these alternatives is based on their proximity to the ideal solution. Type A House, Type B House, Type C House, Type D House, Type E House and the weight value for each house C1 = 0.2; C2 = 0.1 ; C3 = 0.15 ; C = 0.20 ; C = 0.15; C = 0.2%. The ranking results for Type A Houses were 0.871, Type B Houses 0.874, Type C Houses 0.813, Type D Houses 0.976 and Type E Houses 0.959. The largest value is in Type D House 0.976 so the alternative Type D House 0.976 is the alternative chosen as the best alternative. Meanwhile, the ranking results for the topsis model for Type A Houses are 0.5423, Type B Houses are 0.5302, Type C Houses are 0.2709, Type D Houses are 0.8515 and Type E Houses are 0.959. The largest value is for Type D House 0.976 so that the Type E House alternative 0.8227 is the alternative chosen as the best alternative for Type E house. The research results show that the combination of the SAW and TOPSIS methods is effective in providing a comprehensive and objective evaluation of the quality of earthquake resistant house buildings. . The results of this research can be applied practically in the construction industry to improve the quality of earthquake-resistant house buildings, helping make more accurate and objective decisions.
Determining the Quality of Earthquake Resistant House Buildings Using Simple Additive Weighting (Saw) and Technique For Order Of Preference By Similarity To Ideal Solution (Topsis) Burhanuddin Burhanuddin; Bakhtiar; Emi Maulani; Edi Yusuf
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.850

Abstract

This research aims to evaluate the quality of house buildings using the Simple Additive Weighting (SAW) model and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This research uses six main criteria to assess building quality: Material strength, structural design, foundation, construction technology, construction quality, construction costs. With these six variables in determining the evaluation of house building materials. Determining the final ranking of these alternatives is based on their proximity to the ideal solution. Type A House, Type B House, Type C House, Type D House, Type E House and the weight value for each house C1 = 0.2; C2 = 0.1 ; C3 = 0.15 ; C = 0.20 ; C = 0.15; C = 0.2%. The ranking results for Type A Houses were 0.871, Type B Houses 0.874, Type C Houses 0.813, Type D Houses 0.976 and Type E Houses 0.959. The largest value is in Type D House 0.976 so the alternative Type D House 0.976 is the alternative chosen as the best alternative. Meanwhile, the ranking results for the topsis model for Type A Houses are 0.5423, Type B Houses are 0.5302, Type C Houses are 0.2709, Type D Houses are 0.8515 and Type E Houses are 0.959. The largest value is for Type D House 0.976 so that the Type E House alternative 0.8227 is the alternative chosen as the best alternative for Type E house. The research results show that the combination of the SAW and TOPSIS methods is effective in providing a comprehensive and objective evaluation of the quality of earthquake resistant house buildings. . The results of this research can be applied practically in the construction industry to improve the quality of earthquake-resistant house buildings, helping make more accurate and objective decisions.
Co-Authors Adelia Nur Annisa Ahmad Rilwanu Ribbiyuan Aisyah Nurfakhirah Sandyna Alex Kurniawandy Aprilia, Khoirunnisa Aqilla, Azzahra Ari Putra Wardany Arief Setiawan Asnawi Aulia Akbar Nadim Ayu Elfichra Azzahra Aqilla Bakhtiar Benny Hamdi Rhoma Putra Benny Hamdi Rhoma Putra Benny Hamdi Rhoma Putra Benny Hamdi Rhoma Putra Burhanuddin Burhanuddin Burhanuddin Burhanuddin Choryn Munadiyatul Haq Cut Ita Erliana Defi Irwansyah Dika Meilisan Dika Meilisan Elfichra, Ayu Elianora - Emi Maulani Ermiyati - Halimah Tusaddiah Hendra Taufik Hendra Taufik Horas Saut Marpaung Ikhlasul Febrianto Imam Suprayogi Intan Monica MG Intan Monica MG Intan Monica MG Irma Yurni Kevin Novaldi Khairul Amri Khoirunnisa Aprilia Leo Santosa, Leo Lyona, Vinka M. Rilly A Yogi Mardani Sebayang Mardani Sebayang Masril Masril MG, Intan Monica Mudjiatko Muhammad Muhammad Naufal Nabil Fahsa Muhammad Reza Fahlevi Muhammad Shiddiq Firman Abdullah Niken Ayu Pamukas Niskan Walid Masruri Nofreta Ersyi Darfia Novaldi, Kevin Novreta Ersyi Darfia Novreta Ersyi Darfia Novreta Ersyi Darfia Praksa, Rizqy Ridho Randhi Saily Randhi Saily Randhi Saily Resmi Arianti Rian Trikomara Iriana Ridwan Frestantio Rizqy Ridho Prakasa Rizqy Ridho Prakasa Rizqy Ridho Prakasa Rizqy Ridho Prakasa Rizqy Ridho Praksa S Siswanto Saberina Hasibuan Safridatul Audah Safridatul Audah Safridatul Audah Salsabila Setiawan, Nadya Sandyna, Aisyah Nurfakhirah Sayed Fachrurrazi Siswanto Siswanto Siswanto Soewignjo Agus Nugroho Soewignjo Agus Nugroho Sri Djuniati Sukatin, Sukatin Syafriadiman, Syafriadiman Tommy Iduwin Vinka Lyona Vinka Lyona Vinka Lyona Vinka Lyona Wandes Leonardo Siahaan Wiwik Handayani Wulandika, Mia Yasir Amani Yenita Morena Yogi, Muhammad Rilly Aka Yohana Lilis Handayani Yuda Pranata, Agus Yuliana Putri