Pengembangan Kerangka Manajemen Risiko di PT.X Berdasarkan SNI ISO 31000:2011

Suprapto, Reynilda Joan Ellizabeth (2019) Pengembangan Kerangka Manajemen Risiko di PT.X Berdasarkan SNI ISO 31000:2011. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Laboratory Information Management System atau yang biasa disingkat LIMS adalah suatu piranti lunak untuk sistem manajemen di laboratorium beserta dengan informasinya. LIMS ini digunakan untuk penanganan sampel, pengontrolan inventori, manajemen kualitas serta efisiensi alur kerja. Karena manfaat tersebut, LIMS ini banyak dipakai oleh laboratorium di perusahaan farmasi tanpa terkecuali PT. X yang berlokasi di Pandaan. Piranti lunak ini merupakan suatu piranti lunak yang baru diperkenalkan untuk PT. X dan proyek pengimplementasiannya dimulai sejak tahun 2018 dan ditargetkan selesai di kuartal pertama 2019. Sejak tahap inisiasi, proyek implementasi LIMS ini sudah menggunakan manajemen risiko, tetapi tidak secara formal dan terstruktur. Manajemen risiko ini sangat penting untuk mengantisipasi adanya kemungkinan munculnya risiko-risiko terutama yang memiliki dampak negatif terhadap obyektif perusahaan termasuk keberhasilan proyek ini. Manajemen risiko yang telah digunakan pada perusahaan farmasi ini adalah manajemen risiko yang berhubungan dengan kualitas produk. Perusahaan kerap melupakan manajemen risiko juga perlu dilakukan di sektor lain seperti implementasi piranti lunak yang mendukung proses operasional. Hal ini seringkali disebabkan karena kurangnya petunjuk yang memuat langkah-langkah dalam melaksanakan manajemen risiko. Pelaksanaan manajemen risiko ini dapat dilakukan melalui pembuatan kerangka manajemen risiko. Pedoman manajemen risiko yang tersedia saat ini, seperti SNI ISO 31000: 2011, terlalu umum untuk dapat diaplikasikan oleh berbagai pihak.
Oleh karena itu, peneliti ingin mengumpulkan data-data terkait manajemen risiko selama proyek pengimplementasian piranti lunak LIMS di PT. X ini sehingga dapat mengembangkan suatu kerangka manajemen risiko beserta panduannya. Peneliti merupakan salah satu anggota tim proyek sehingga akses terhadap data dapat diperoleh secara langsung dari dokumen proyek, rapat serta sesi diskusi lainnya. Selain itu, data serta diskusi juga akan diperoleh dari pimpinan tim proyek implementasi LIMS. Data yang diperoleh selama penelitian diolah menggunakan House of Risk (HOR) yang terdiri dari House of Risk 1 (HOR 1) dan House of Risk 2 (HOR 2). Data berupa risk events beserta dengan nilai severity akan dimasukkan ke dalam tabel HOR 1. Kemudian dilengkapi dengan data risk agent masing-masing, beserta data relasi antara risk agent dan risk event, juga probabilitas munculnya risk agent tersebut. Dari tabel tersebut didapatkan peringkat risk agent berdasarkan nilai Aggregate Risk Potential (ARP). Risk agent terpilih (dengan nilai ARP yang dominan) kemudian dimasukkan ke dalam tabel HOR 2 beserta dengan preventive action. Masing-masing preventive action dinilai kefektifannya terhadap tiap-tiap risk agent sehingga didapatkan nilai efektifitas total. Nilai efektifitas total tersebut kemudian dibagi dengan nilai tingkat kesulitan pelaksanaannya sehingga didapatkan nilai rasio efektifitas terhadap tingkat kesulitan. Preventive action dengan rasio efektifitas terhadap tingkat kesulitan yang tinggi dapat menjadi rekomendasi yang diberikan kepada pimpinan proyek maupun manajemen untuk mengantisipasi kegagalan proyek.
Hasil dari penelitian ini didapatkan risk event sebanyak 75 risiko dan dari risk event tersebut didapatkan 97 risk agent. Dari 97 risk agent tersebut kemudian dikelompokkan lagi menjadi sekumpulan risk agent yang memiliki kesamaan akar penyebab sebanyak 7 kelompok. Dari 7 kelompok risk agent tersebut kemudian diidentifikasi preventive action sebanyak 44 action, dimana 2 action memiliki nilai di atas 2000, 10 action nilainya berkisar 1500-2000, 24 action dengan nilai 1000-1500 dan sisanya di bawah 1000.
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Laboratory Information Management System or commonly abbreviated LIMS is a software for the management system in the laboratory along with the information. LIMS are used for sample handling, inventory control, quality management and workflow efficiency. Due to these benefits, the LIMS is widely used by laboratories in pharmaceutical companies including PT. X which located in Pandaan. This software is newly introduced to PT. X and deployment project started in 2018 and the targeted completion in the first quarter of 2019. Since the initiation phase, project implementation of LIMS has been using risk management, but not in a formal and structured one. Risk management is extremely important to anticipate the possibility of the emergence of risks especially those that have a negative impact on the company's objective including the success of the project. Risk management commonly used at pharmaceutical companies is quality risk management. Companies often lose sight of risk management also needs to be done in other sectors such as software implementation that supports operational processes. This is caused by lack of instructions in implementing risk management. Implementation of risk management can be done through the creation of a risk management framework. Risk management guidelines available today, such as the SNI ISO 31000:2011, too general to be applied by various parties.
Therefore, researchers would like to collect data related to risk management during LIMS deployment project in PT. X so that a risk management framework with a guide can be developed. The researcher is one of the members of the project team so that access to the data can be retrieved directly from the project documents, meetings as well as other discussion sessions. In addition, the data and discussion also be retrieved from the LIMS deployment project lead. The data obtained during the research using tool House of Risk (HOR) which consists of the House of Risk 1 (HOR 1) and House of Risk 2 (HOR 2) tables. Risk events with severity value inserted into the table HOR 1. Respectively risk agent, along with relationship matrix between risk agent and risk event, as well as the probability of the occurrence of risk agent inserted to HOR 1 table. From the table was obtained risk agent ranking based on the Aggregate Risk Potential (ARP). Risk agents selected (with high value ARP) then inserted into the table HOR 2 along with preventive action. Each of the preventive action assessed its effectiveness against every risk agent so that it brings the value of the total effectiveness. The value of the total effectiveness then divided by the value of the degree of difficulty preventive action so value of the effectiveness to degree of difficulty ratio obtained. Preventive action with high ratio recommended to the deployment project lead and senior leadership to anticipate any project failure.
The results of this research obtained as many as 75 risk event risk and from those risk events obtained 97 risk agents. Those 97 risk agents are then grouped into a set of risk agents which have the same root cause as many as 7 groups. From 7 groups of risk agent then identified preventive action as much as 44 actions, where 2 actions have value more than 2000, 10 actions valued range 1500-2000, 24 actions with the value between 1000-1500 and the rest under 1000.

Item Type:	Thesis (Masters)
Additional Information:	RTMT 658.155 Sup p-1 2019
Uncontrolled Keywords:	Laboratory Information Management System (LIMS), House of Risk, Risk Management
Subjects:	A General Works > AC Collections. Series. Collected works A General Works > AC Collections. Series. Collected works H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Divisions:	Faculty of Creative Design and Digital Business (CREABIZ) > Technology Management > 61101-(S2) Master Thesis
Depositing User:	Suprapto Reynilda Joan Ellizabeth
Date Deposited:	07 Dec 2021 07:09
Last Modified:	07 Dec 2021 07:09
URI:	http://repository.its.ac.id/id/eprint/61731

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