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Journal : International Journal of Artificial Intelligence Research

Data Envelopment Analysis with Lower Bound on Input to Measure Efficiency Performance of Department in Universitas Malikussaleh Dahlan Abdullah; Cut Ita Erliana; Muhammad Fikry
International Journal of Artificial Intelligence Research Vol 4, No 1 (2020): June
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.606 KB) | DOI: 10.29099/ijair.v4i1.164

Abstract

DEA has become one of the most appropriate methods for comparing the various Decision-Making Units (DMU) associated with public services such as universities.  There are two primary outputs that can be used to measure college performance, namely: the number of graduates and the number of publications.  While the primary input of college efficiency measurement is the number of teaching staff and the number of students.  The higher learning institution is  Universitas Malikussaleh, located in Lhokseumawe, a city in the Aceh province of Indonesia. This paper develops a method to evaluate the efficiency of all departments in Universitas Malikussaleh using DEA with bounded input. The extreme dissimilarity between the weights often found in DEA applications. In this paper, we develop a new DEA model, which can be transformed into a particular case of the bi-level linear program to calculate the lower boundary of input from the pessimistic viewpoints based on the shortcomings of the existing approaches. In the case of having a single input, providing lower bounds for the input weights by imposing the conditions that it uses for the average input level of the DMU being assessed uses per unit of output.  Accordingly, we present some essential differences inefficiency of those departments. Finally, we discuss the effort that should be made by these departments in order to become efficient
Identification of Ergonomic Risk on Workers Using Quick Exposure Check and Rapid Upper Limb Assessment Methods Erliana, Cut Ita; Irwansyah, Defi; Abdullah, Dahlan; Zega, Subhansah; Hasibuan, Muammar Faturrahman
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.432

Abstract

Pulau Tiga Palm Oil Mill (PKS) is one of the business units of PT. Nusantara I Plantation located in Pulau Tiga Village, Tamiang Hulu District, Aceh Tamiang Regency, is engaged in palm oil processing. Some workstations at PKS Pulau Tiga still use a manual work system, then the factor of long working hours, which is 12 hours of work/day, can make it easier for workers to experience fatigue and result in musculoskeletal complaints for workers. The purpose of this study is to identify which workstations are most at risk and which workstation facilities must be improved. The methods used in this study are the QEC, NBM, and RULA Methods.
Co-Authors - Hartono A. Rahim Matondang Abdul Azis Aditia, Donny Agus Sukoco Aji Suhada Sinaga Akmal, Syarifah Al- Amin Amri Amri Amri Amri Andik Bintoro Angga Pratama Angga Pratama ANNISA KARIMA Bakhtiar Bakhtiar Chalirafi Chalirafi, Chalirafi Cindenia Puspasari Cut Agusniar Cut Yusra Novita Dafrina , Armelia Dahlan Abdullah Defi Irwansyah Defi Irwansyah Deisye Supit Dewiyana . Diana Khairani Sofyan Edi Yusuf Adiman Eko Prastyo Elviwani Elviwani Elviwani Elviwani Elviwani, Elviwani Erlina Erlina Erlina Erlina Ezwarsyah Ezwarsyah Fachri Nanda Aulia Fachry Abda El Rahman Fadlisyah Fadlisyah Fahrizal, Effan Fahrozi, Mahlil Fakrurrazi fatimah Fatimah Fattahillah Rahmanda Harahap Firmansyah, Daffa Fredy Fariska Fahrudin Fuadi, Wahyu Gani, Subhan A Gani, Subhan A. Haedir, Haedir Hapsarini, Deslana Roidja Hartono Hartono Hasibuan, Muammar Faturrahman Hery Budiyanto Huda, Listiani Nurul Husein, Ratna Ika Rahayu Satyaninrum Indah Salsabilla Indah Sulistiani Indrawati Irdanil Kamal, Irdanil Irwansyah, Defi Iskandar Hasanuddin Iskandar Hasanuddin Iswan Riyadi Judijanto, Loso Kartika Kartika Khairul Anshar Kosasih , Kosasih Latif, Sarifudin Andi Lestari, Renny Lia, Julia Diyanti Listiani Nurul Huda M Sayuti M. Abdi Nur Syahputra Manora, Elsa Maryana Maryana, Maryana Matondang, A. Rahim Meri Andriani Meutia Fadilla Miswar Miswar Mochamad Gilang A Mubarok Mohd Syahrin Muhamad Stiadi Muhammad Muhammad Alfian Muhammad Fikry Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Muhammad Muhammad Zakaria Muhammad Zakaria Muhammad Zakaria Muhammad Zarlis Muhammad Zarlis, Muhammad Mutammimul Ula N. Nazaruddin Nisa Febriani, Aulia Nur Fardian, Nur Nurjannah Nurjannah Paisal Halim Patimah Sari Rafi’i, Rafi’i Raja Ariffin Raja Ghazilla Raja Ariffin Raja Ghazilla Razif Razif Rizki Aidil Fairuza Lubis Rizki Wahyuri Rofiq Harun Rosdiana Rosdiana S, Syarifuddin Saputri, Juwa Sasabone, Luana Sayed Fachrurrazi Sitti Nur Alam Sofyan, Diana Khairani Sri Mawaddah Sri Meutia Sukiman, T. Sukma Achriadi Suryati Suryati Sutarna, Agus Syamsiah Badruddin Syamsul Bahri Syarifah Akmal syarifah asria nanda, syarifah asria Syarifuddin Syarifuddin Syarifuddin Tahulending, Anneke A Tania, Tania Journal Teuku Multazam Trisna Trisna, Trisna Ulya, Athiyatul Victor E. D Palapessy Wahyu Pertiwi, Yuarini Wildan Zaki Yoga Ananda Putri Yoga Trisyiam Yurni, Irma Yuwaldi Away Yuwaldi Away Zafera Adam, Jeanne d'Arc Zahratul Fitri Zega, Subhansah Zulfahmi Zulfahmi Zulfia , Anni