Article Per Year (5 Year)
p-Index From 2021 - 2026
2.512
P-Index
This Author published in this journals
All Journal Jurnal Teknoin OPSI SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ilmiah Teknik Industri Heuristic PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Applied Industrial Engineering Journal Jurnal DISPROTEK Jurnal INTECH Teknik Industri Universitas Serang Raya Refleksi Pembelajaran Inovatif Jurnal Rekayasa Industri (JRI) International Journal of Industrial Optimization (IJIO) Dinamika Kerajinan dan Batik : MAJALAH ILMIAH Journal of Applied Data Sciences Telaah Bisnis Jurnal Teknologi dan Manajemen Industri Terapan Advance Sustainable Science, Engineering and Technology (ASSET) Spektrum Industri Journal of Halal Lifestyle and Sustainability Dinamika Kerajinan dan Batik: Majalah Ilmiah
Agus Mansur, Agus
Teknik Industri, Fakultas Teknologi Industri, Universitas Islam Indonesia
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : PROZIMA (Productivity, Optimization and Manufacturing System Engineering)

 1 
Analysis of Customer Satisfaction Using the Modified Servqual Method (Case Study at Waroeng Spesial Sambal Ss) Ridho Dimas Sofwan; Agus Mansur; Imam Djati Widodo
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 3 No 2 (2019): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v3i2.1271

Abstract

Restaurant business is one of the types of businesses that continues to grow in Indonesia. With the potential of this type of business, restaurants are competing to provide the best service for consumers. Waroeng Special Sambal is one of the restaurants that located in Yogyakarta. Waroeng SS has been serving consumers for years, nevertheless there are things that are felt not to meet with consumer expectations. The purpose of this study is to determine the quality of service in Waroeng SS restaurant, determine the priority of improvements, and determine the perceptions and expectations of consumers using the modified servqual method. The result of this study indicate that the tangible dimension for direct consumers has the lowest value and for consumers nearby, the dimensions that have the lowest performance is responsiveness. The attribute that has the lowest value is “the size of parking space” for direct consumers and “the parking space for vehicle onubstructive” for consumers nearby.
Ergonomic Corn Flatter Machine Work System Design to Increase Productivity Marwan Tangahu; Hari Purnomo; Agus Mansur
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 1 No 2 (2017): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v1i2.1301

Abstract

Kelompok Wanita Tani (KWT) Tri Manunggal merupakan kelompok usaha pengolahan bahan pangan yang terletak di desa Sendangsari, Pajangan, Bantul, Yogyakarta yang memproduksi beberapa produk, salah satunya emping jagung. Emping jagung atau marning gepeng adalah emping yang terbuat dari biji jagung yang direbus, dikukus, dipipihkan serta dikeringkan. Proses pemipihan jagung dilakukan dengan menggunakan mesin pemipih dengan kapasitas 50 kg dan tenaga manusia sebagai operator dalam mengendalikan mesin tersebut secara aktif atau peran operator dimulai dari memasukkan wadah, mengambil jagung yang kemudian dituangkan ke dalam mesin pemipih, mengeluarkan wadah yang berisi emping atau jagung yang sudah dipipihkan, meratakan emping serta menjemur merupakan aktfitas yang tidak boleh dilewatkan oleh operator. Permasalahan yang sering terjadi adalah kondisi mesin pemipih yang tidak sesuai dengan kondisi tubuh pengelola membuat pengelola sering mengalami nyeri pada punggung dan pinggang, proses meratakan emping dapat mencederai pekerja karena pada proses meratakan, emping masih dalam kondisi panas serta pada proses pengeringan membutuhkan waktu yang cukup lama yaitu ±11 jam. Berdasarkan hal tersebut maka penelitian ini dilakukan dengan tujuan untuk mendesain mesin pemipih jagung yang ergonomis serta meningkatkan produktivitas mesin dengan menggunakan Macro Ergonomic Analisys and Design (MEAD). Hasil penelitian menunjukkan bahwa dengan adanya mesin baru tingkat kelelahan operator berkurang 47.77 % dengan peningkatan produktivitas 16.07 % serta dapat meminimalisasi waktu sebanyak 57.30 %.
Design of Production System Improvement to Increase Productivity with Quality Control Circle Approach: Perancangan Perbaikan Sistem Produksi Untuk Peningkatan Produktivitas Dengan Pendekatan Quality Control Circle Rabbani, Muhammad Rayhan; Mansur, Agus
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1669

Abstract

The increase in population has an impact on increasing community needs, especially in Indonesian sugar commodities. PG XYZ is one of the sugar production companies in Indonesia that targets a milling capacity of 5,750 tth. PG XYZ faced high sugar reject, so it needed to be reprocessed which had an impact hampering factory productivity. Data from the 2022 milling season shows that rejected sugar is at 5.15% with a total loss of IDR 1,619,300 for each ton. Therefore, it’s necessary to minimize the occurrence of rejected sugar. This research focuses on increasing quality productivity using a series of Quality Control Groups with PDCA stages on manufacturing parts. Data were collected through a FMEA questionnaire. The results showed the obstacles were pol blotong > 2.5%, outputting A < 55%, HK drops > 32%, and sugar reject due to black spots > 1%. The improvement plan is carried out by separating and creating a new clean water line for the supply of vacuum pump coolant, procurement, and installation of stirrer pans. The implementation was carried out for D1/D2 vacuum pan which showed a decrease in reject sugar due to black spots by 182.90 tons or 0.13% with a total of Rp 296,164,764.
Bibliometric Analysis and Data Visualization: Business Intelligence in Digitalization of Supply Chain Management in Healthcare Sector: Analisis Bibliometrik dan Visualisasi Data: Business Intelligence dalam Digitalisasi Manajemen Rantai Pasok pada Sektor Kesehatan Adita Ramadhan, Fadhil; Mansur, Agus
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i2.1728

Abstract

Digital transformation in healthcare supply chain management is increasingly important in addressing operational and distribution efficiency barriers. However, many healthcare institutions have yet to adopt Business Intelligence (BI), causing delays in decision-making, inefficiencies in drug stock management, and waste of resources due to suboptimal distribution. The method used is a bibliometric analysis based on literature observations from major academic databases, with a quantitative approach using VOSviewer to map topic relationships, research trends, and collaboration patterns between researchers. The results of the study confirm that the application of Business Intelligence (BI) in healthcare supply chain management is more dedicated to existing technology-based solutions, such as Artificial Intelligence (AI), Internet of Things (IoT), blockchain, and Big Data, compared to new development methodologies. This study found that although BI can increase efficiency in inventory management by up to 50%, accelerate data-based decision-making by up to 40%, and reduce resource waste by 25%, there are still similarities in policy aspects and obstacles that hinder optimal implementation. In conclusion, the application of BI in the healthcare supply chain must be supported by a structured strategy, including investment in digital infrastructure and workforce training. Further research is recommended to explore policies that can accelerate the implementation of BI in the health sector.
Co-Authors Adita Ramadhan, Fadhil Agus Haerudin Agus Haerudin, Agus Andivas, Marulan Annisa Indah Pratiwi Ari Subowo Aswan Munang Aulia, Baiq Putri Rizka Ayudyah Eka Apsari Basuki, Demas Emirbuwono Cahyo, Winda Nur Choi, Wonsik Elquthb, Jundi Nourfateha Euis Laela Evin K. Prasetia Adi Fadhil Adita Ramadhan Faisal RM Faisal RM, Faisal Febian, Tiara Febriani, Atik Hari Purnomo Haswika Haswika Herawan, Fredi Imam Djati Widodo Isnaini Isnaini Isnaini, Isnaini Laela, Euis Laela, Euis Marwan Tangahu Meilinda F. N. Maghfiroh Meilinda F. N. Maghfiroh Mirga Maulana Rachmadhani Muhammad Akbar Palakbiran Muhammad Ridwan Andi Purnomo Muhammad Rifki Prawibowo, Syafa Thania Rabbani, Muhammad Rayhan Ramadhan, Fadhil Adita Ramadhan, Fadhil Adita Ramadhan Rastiti Ratnasari Razel Thimoty Ridho Dimas Sofwan Rindang Rayo Ranas Rindang Rayo Ranas, Rindang Rayo Suaib, Robih Alfian Hastrianda Sutra, Debi Syafa Thania Prawibowo Taufiq Immawan, Taufiq Tiara Febian Wahyudi Sutrino Windi Auliana Yulistiyanto , Mohamad Tri Angga Zaki, Ardan