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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Rekayasa dan Manajemen Sistem Industri DINAMIKA DOTCOM Rekayasa Mesin Journal of Engineering and Management in Industrial System Jurnal EECCIS
Purnomo Budi Santoso
Universitas Brawijaya
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering

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PERANCANGAN SISTEM INFORMASI MANAJEMEN INVENTORI BERBASIS CLOUD COMPUTING UNTUK MENGINTEGRASIKAN INFORMASI ANTARA PRODUSEN DENGAN SUPPLIER Zalina, Debby; Santoso, Purnomo Budi; Hamdala, Ihwan
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 9, No 6 (2021)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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Abstract

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email debbyzalina@ub.ac.id atau pbso3@ub.ac.id atau ihwan.h@ub.ac.id Dipublikasikan tanggal: 16 Agustus 2021
PRODUCTION MACHINE INFORMATION SYSTEM BASED ON TECHNOLOGY GROUP IN RELATIONAL DATABASE ENVIRONMENT Farhan, Ahmad; Sumantri, Yeni; Santoso, Purnomo Budi
JEMIS (Journal of Engineering & Management in Industrial System) Vol 9, No 1 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The world is entering industry 4.0. The digital enlarges to machine maintenance known as troubleshooting. Troubleshooting is a series of actions needed to deal with machine damage treatment. Problems that often occur in troubleshooting are that technicians are not in the location, the information is still in the form of printed books, the risk of books being lost, books slipping, and the location of books far from the location of machine failure. This research was to solve this problem by developing an application called Production Machine Troubleshooting Information System (SITMEP) in relational database environment. This system was developed by integrating several methods such as machine damage knowledge obtained from tacit sourced from mechanical technicians, experts in their fields and explicit knowledge sourced from machine manual books. GT is to combine knowledge with machine hierarchies and it supports systems for database and SQL. The tool used was MS Access with VBA.
PRODUCTION MACHINE INFORMATION SYSTEM BASED ON TECHNOLOGY GROUP IN RELATIONAL DATABASE ENVIRONMENT Farhan, Ahmad; Sumantri, Yeni; Santoso, Purnomo Budi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 1 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The world is entering industry 4.0. The digital enlarges to machine maintenance known as troubleshooting. Troubleshooting is a series of actions needed to deal with machine damage treatment. Problems that often occur in troubleshooting are that technicians are not in the location, the information is still in the form of printed books, the risk of books being lost, books slipping, and the location of books far from the location of machine failure. This research was to solve this problem by developing an application called Production Machine Troubleshooting Information System (SITMEP) in relational database environment. This system was developed by integrating several methods such as machine damage knowledge obtained from tacit sourced from mechanical technicians, experts in their fields and explicit knowledge sourced from machine manual books. GT is to combine knowledge with machine hierarchies and it supports systems for database and SQL. The tool used was MS Access with VBA.
UPAYA PENINGKATAN PELAYANAN TERHADAP KEPUASAN MAHASISWA BERDASARKAN HASIL ANALISIS METODE SERVQUAL DAN REGRESI LINIER BERGANDA (Studi Kasus Jurusan Teknik Mesin Universitas di Malang) Sujatmiko, Sujatmiko; Santoso, Purnomo Budi; Soenoko, Rudy; Astuti, Murti
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 1 No. 1 (2013)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2013.001.01.9

Abstract

Recorded approximately 27 universities in this city is increasingly fierce competitive situation from time to time, causing many colleges difficult to increase the number of students [1]. Department of Mechanical Engineering at the University contained in Malang has not identified the quality of service and support strategy for the satisfaction level of students so as to improve the quality of students. In this research use corporation of SERVQUAL method and multiple linear regression to analyze the results of the questionnaire. This processing produces Gap values and linear regression analysis, it can be calculated the value of Servqual that known and will be prioritized for enhanced service quality. Conclusions and recommendations in order to get improved quality of improvement efforts of the priority criteria for enhanced quality service. Based on  data processing  using multiple linear regression analysis only tangible dimension that significantly to improve overall satisfaction. To prioritize the improvement of his physical condition improved following completion of facilities and infrastructure improvements in the information media (internet), completeness of facilities and infrastructure improvements in the lecture, the addition means supporting information, improved seating and desks Conditions comfortable class, classroom hygiene, completeness of facilities improvement and infrastructure in the library, improvement classroom air circulation, comfortable classroom temperature, comfortable classrooms lighting.
ANALISIS PENERAPAN TOTAL QUALITY MANAGEMENT (TQM) INDUSTRI PERTAHANAN NASIONAL (Studi kasus pada Industri Senjata) Novrianto, Yusuf; Soenoko, Rudy; Santoso, Purnomo Budi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 2 No. 1 (2014)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2014.002.01.3

Abstract

Military weapons industries supporting industries most likely to be developed into a leading center of technology in accordance with the type of industry. With that goal achieved through Total Quality Management is an approach oriented to continuous quality improvement. Based on this analysis needs to be done related to the components of total quality management what are the qualities that support the quality of production and how its application in the arms industry and how to identify one component of total quality management that affect the quality improvement of quality related to changes in the occurrence of downtime in production with the method klongsong MVSM. On the basis of the proposed theoretical model, the analysis of corporate performance, descriptive analysis and analysis of TQM. TQM implementation is based on customer focus, obsession with quality, scientific approach, long-term commitment, teamwork, continuous improvement systems, education and training, unity of purpose, as well as the involvement and empowerment of employees
PENDEKATAN ALGORITMA CROSS ENTROPY-GENETIC ALGORITHM UNTUK MENURUNKAN MAKESPAN PADA PENJADWALAN FLOW SHOP Widodo, Dian Setiya; Santoso, Purnomo Budi; Siswanto, Eko
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 2 No. 1 (2014)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2014.002.01.6

Abstract

 In the flow shop scheduling each job will go through every machine in the same order. The goal of this research is to complete a series of jobs in order to obtain the optimal makespan  for stick skewers rounding machine. It is become necessities because the company has no planning and scheduling, while the demand exceeds the capacity Thus, optimize the scheduling is needed to be done. One way to optimize the scheduling is to minimize makespan. Based on the results of the research Cross Entropy Algorithm-Genetic Algorithm (CEGA) can provide the optimal solution. This is evident by a comparison technique that enumeration techniques obtained similar results with makespan 1982 seconds, but when compared to the company, CEGA method is better with makespan efficiency of 12.18%. The use of CEGA with the MATLAB has more advantages that simplify and speed in performing the calculations to can optimal solution. 
USULAN PENERAPAN METODE SIX SIGMA UNTUK MENINGKATKAN KUALITAS KLONGSONG (STUDI KASUS INDUSTRI SENJATA) Pakki, Gunawan; Soenoko, Rudy; Santoso, Purnomo Budi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 2 No. 1 (2014)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2014.002.01.2

Abstract

Weapons Industy has the greatest asset in the production of klongsong with various varians meet the basic needs of military and public supplies, klongsong types 6 mm. Improving in quality does is not mean to increase the amount of labor or replace the old machine with a new one but rather to maximize the performance of the production system elements. This research is proposed to reduce the reject rate klongsong 6 mm process and to to determine the factors that influence the defective product. Six Sigma concept is used to discover and to reduce the factors that cause disability and error so as to improve the quality to wards zero failure rate. Six Sigma framework is known as Define, Measure, Analyse, Improve, and Control (DMAIC). In Define phase of DMAIC is to define CTQ (Critical-To-Quality) through interviews with company management. In the Measure phase of DMAIC level of product quality (products klongsong 6 mm casing) is measured. In Analysis phase of DMAIC the causes of defects is analyzed through Ishikawa diagram. In Improve phase of DMAIC the preparation of the proposed improvements is based on is based on prioritization using FMEA. The results of the analysis of the application of Six Sigma in production klongsong in average was 4.69 with DPMO 695.429.
CASE-BASED REASONING UNTUK MENJAGA MUTU PELAYANAN PURNA JUAL OTOMOTIVE Choiri, Mochammad; Santoso, Purnomo Budi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 3 No. 1 (2015)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2015.003.01.3

Abstract

Abstract Customer satisfaction was the main business factor. After sales service was one of the most important to ensure customer satisfaction. The main criteria for customer satisfaction we know as speed, fit for use, and fair. Human always use analogical method for make some decisions, such as use historical experience for fit the similar problem. If the old case in after sales service could be saved dan organized efectivelly and sistematix, so we can use it to solve the new problem that have similar type. Method that use old case as a reference to solve new proble in Artificial Intelligent (AI) we always call Case Based Reasoning (CBR). This paper use CBR System for car sales after service problem. We also use Esteem software for improvement tools.After use this tools we get some resume that process in sevice become effective and efficient.
USULAN PENERAPAN LEAN SIX SIGMA, FMEA DAN FUZZY UNTUK MENINGKATKAN KUALITAS PRODUK BOTOL SABUN CAIR Ellianto, Mario Sarisky Dwi; Santoso, Purnomo Budi; Sonief, Achmad As'ad
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 3 No. 1 (2015)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2015.003.01.5

Abstract

Abstract The goal of lean six sigma method is to solve the problems of waste, especially defect. The goal of failure mode and effect analysis (FMEA) method is to be able to identify potential failures in the production process of e.g. liquid soap bottle in order to reduce production failure and to have reference from FMEA highest risk priority number for corrective actions. The goal of fuzzy method is to improve priority risks of FMEA method. By using fuzzy method the priority risks with the same value can be eliminated so that only one highest value can be used as a reference for corrective action. Result of lean six sigma method are four types of critical defects i .e. dirty black, lines in the wall of the bottle, neck narrowed / clogged, and uneven surfaces. One result of the FMEA calculation with the highest risk priority number (RPN) is dirty black defect.This is due to less attention to the composition of the material and contamination / burnt crust. The highest score of RPN is 48 and ranked as the first priority for actions. While result of fuzzy calculations is the highest fuzzy risk priority number (FRPN) with value of 3.327831. This is caused by dirty black defect due to less attention to the composition of the material. Therefore from these results of the highest causes of defects can be used as a reference for corrective action.
PENINGKATAN EFEKTIVITAS PERAWATAN MESIN PERONTOK BULU UNGGAS DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS DAN FAILURE MODE EFFECT ANALYSIS (Studi Kasus di Perusahaan Pengolahan Ayam Kampung Pasuruan) Rosyidi, Khafizh; Santoso, Purnomo Budi; Sasongko, Mega Nur
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 3 No. 2 (2015)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2015.003.02.2

Abstract

Abstract Perusahaan Pengolahan Ayam Kampung is a company engaged in the processing of chicken that must not be separated from issues related to the effectiveness of the machine. This can be seen with the frequency of damage to the engine due to the damage resulted in a lot of product defects. Therefore we need effective measures in the maintenance of machinery and equipment to tackle and prevent such problems. Total Productive Maintenance (TPM) is a principle of management to improve productivity and efficiency of the production company to use the machine effectively. Not exactly the handling and maintenance of the machine will result in losses that are called by the Big Six Losess. The first step in efforts to increase efficiency in the production of this company is by measuring the effectiveness of the threshing machine feathers using Effectifitas Overall Equipment (OEE) followed by OEE measurement to determine the value of its effectiveness. Next, analysis of causal diagram is to be able to know the real problems that the main cause of losses caused by engine failure. Then, the analysis Failure Mode Effect Analysis (FMEA) was conducted to determine the priority improvements in the next period. The conclusion that can be drawn on the threshing machine feathers that the average value of the OEE for the period September 2013 - August 2014 was 65.14%. This indicates that the ability of thresers feathers in achieving their goals and in achieving effective use of machinery / equipment not yet reached the ideal conditions (≥85%). As for affecting the value of OEE based causal analysis is the lack of maintenance of the machine. Meanwhile, based on the analysis of FMEA can be known priority repairs that need to be done, namely: 1) Perform routine engine maintenance (512), 2) Making standards work (392), and Making Rubber threaded component maintenance schedule (320).
Co-Authors ., Rahmadwati Achmad Noerkhaerin Putra Aditya Wahyu Pratama Adrian Peter Widodo Afwima Rohmana Agustina Eunike Ahmad Farhan Ahmad Farhan, Ahmad Aini, Azizah Putri Nur Amrussalam, Amrussalam Andrian Fitrah, Andrian Andriyan, Muhammad Johny Anneke Rizka Ratnasari, Anneke Rizka Ardani, Rizqi Muhammad Arif Rahman Ashar Badhowi, Ashar Atsari, Farizah Izzati Atta Cahya Pradana Azlia, Wifqi Bachtiar, Ali Fahmi Bayu Nur Abdallah, Bayu Nur Ceria Farela Mada Tantrika Ceria Farela Mada Tantrika Darmadi, Djarot Bangun Debrina Puspita Andriani Deka Bagus Setyo Saputro Delianto, Feri Deriavinti Tri Indah Indarsari Mega Cahyaningrum Dewi Hardiningtyas Dwi Hadi Sulistyarini Dwi Prareginawati, Dwi Eko Siswanto Elmo Juanara, Elmo Endra Yuafanedi Arifianto Eriyanto, David Esti Dwi Astuti, Esti Dwi Fachrul Kurniawan Fahmi, Muhammad Irsyad Fahmi, Qori Arsyadi Fanani, Angga Akbar Faradis, Syaila Salsabila Febriani, Erlyn Firda Rahmadani, Firda Fredy Windana Gianto Widodo Gunawan Pakki Harry Kurniawan Hartawan, Adi Hastawati Chrisna Suroso, Hastawati Chrisna Helmi Hamzah, Helmi Heni Pujiastuti Hermawan, Dwiki Wahyu Heru Nurwarsito Hidayat, Veni Nur Hidayati, Aulia Rakhma Ihwan Hamdala Imam Rendi Pratama, Imam Rendi Indra Satria Wibowo Inggrid Nindia Aprila Palupi Ishardita Pambudi Tama Jamhari, Mohammad Ikhwan Joko Suwarto Utomo Khafizh Rosyidi, Khafizh Kurniawan, Herlangga Kurniawati, Soraya Lalu Tri Wijaya Nata Kusuma Liani, Kevina Devi Maria Yosefin Amelia Mario Sarisky Dwi Ellianto Mega Nur Sasongko Moch. Choiri Mochamad Choiri Mochammad Choiri Moechammad Sarosa Muhammad Agus Tri Rakhmawan Muhammad Dzulqarnain Al Firdausi Mullian Lasasi Murdiyanto, Danang Murti Astuti Nasir Widha Setyanto Nindyta Tri Fania Noegroho, Iwan Noviani, Baiq Rizki Nugraha, Akhmad Aditya Oyong Novareza Pranata, Aloysia Pratama, Rizqi Andy Pratikto Pratikto Puteri Rina Mayank Sari Putra, Deny Suhendra Putu Ayu Virgiantari Putri Raena Melladya Rahman, Arif Rahmi Yuniarti Rakhmat Himawan Rastiti, Ni Wayan Ratih Ardia Sari Reinaldo Jr. F. B.B Remba Yanuar Efranto Reza Maulana Ridha Wirardy Purubaya Rudy Soenoko Rusdin Rusdin Saefudin Adi Raharja Wasdana Putra, Saefudin Adi Raharja Wasdana Septian Lestari Santoso, Septian Lestari Setianto, Dani Slamet Wahyudi Sonief, Achmad As'ad Subagyo, Patriot Dwi Adhi Yudha Sugiono Sugiono Sugiono, Sugiono Sujatmiko Sujatmiko Susilo, Samuel Kresna Syafiqar Nabil, Syafiqar Tegar Rian Putra, Tegar Rian Try Lestari Kusuma Putri Weiz Shahzad Kalia, Weiz Shahzad Widodo, Dian Setiya Willy Satrio Nugroho Windha Dwi Astutik, Windha Dwi Wulandari Trihapsari Putri Yeni Sumantri Yonasta, Oscario Youngky Reynaldi Yusuf, Youngky Reynaldi Yuli Kartika Sari Yuli Wahyuni Yusuf Novrianto Zalina, Debby Zandi Nugroho Hidayat Zefry Darmawan