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Implementasi Robotic Process Automation Pada Proses Kompilasi Dokumen Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) Di Pt Merck Chemicals And Life Sciences

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 12 No. 4 (2025) · pp. 951–964

DOI
10.25126/jtiik.124
ISSN
2528-6579, 2355-7699
Published
2025-08-29
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Bahasa Indonesia

Ketepatan dan efisiensi dalam penanganan dokumen impor, khususnya pemenuhan persyaratan Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) sangat penting bagi kelancaran operasional perusahaan life sciences seperti PT Merck Chemicals and Life Sciences (MCLS) yang aktif dalam melakukan kegiatan ekspor dan impor. Proses kompilasi dokumen NPBL di PT MCLS yang selama ini dilakukan secara manual membutuhkan waktu 4 jam 11 menit dan rentan terhadap kesalahan yang dapat menyebabkan keluhan pelanggan akibat keterlambatan ketersediaan barang. Penelitian ini bertujuan untuk meningkatkan efisiensi dan akurasi proses tersebut melalui implementasi teknologi Robotic Process Automation (RPA). Metode penelitian meliputi evaluasi proses bisnis saat ini (as-is) melalui observasi dan wawancara, perancangan workflow RPA menggunakan UiPath Studio, perancangan antarmuka dengan UiPath Apps, dan penerapan teknologi Optical Character Recognition (OCR) Document Understanding dengan Microsoft AI Builder untuk meningkatkan akurasi pencarian dan pemilihan dokumen. Hasil pengujian menunjukkan bahwa sistem RPA mampu mengotomatisasi seluruh tahapan proses kompilasi dokumen NPBL dan menyelesaikannya dalam waktu 26 menit, mengefisiensikan waktu proses hingga 89.66%. Akurasi sistem mencapai 98% dalam pencarian dan pemilihan lisensi, 88.54% dalam penandaan produk, serta 92.81% dalam pengunduhan file Safety Data Sheets (SDS). Implementasi ini juga berhasil menghemat kapasitas kerja sebesar 0.466 FTE dan diterima dengan tingkat penerimaan pengguna sebesar 79%. Abstract Precision and efficiency in managing importation documents,, particularly in fulfilling the requirements for Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) are essential to maintaining the operational continuity of life sciences companies like PT Merck Chemicals and Life Sciences (MCLS), which actively engange in export and import activities. The NPBL document compilation process at PT MCLS, which has been carried out manually, takes 4 hours and 11 minutes and is prone to error, potentially resulting in customer complaints due to delays in goods availability. This study aims to improve the efficiency and accuracy of this process throught the implementation of Robotic Process Automation (RPA). The research methodology includes in evaluating the current business process (as-is) through observation and interviews, designing RPA workflows using UiPath Studio, developing an interface with UiPath Apps, and applying OCR Document Understanding technology using Microsoft AI Builder to enhance the accuracy of document search and selection. The testing results show that the RPA system successfully automated all stages of the NPBL document compilation proccess, completing it in 26 minutes and reducing process time by 89.66%. The system achieved 98% accuracy in license search and selection, 88.54% in product tagging inside the document, and 92.81% in downloading Safety Data Sheets (SDS). Additionaly, the implementation of RPA saved 0.466 FTE in work capacity and was accepted by users with a satisfaction rate of 79%.

English

Ketepatan dan efisiensi dalam penanganan dokumen impor, khususnya pemenuhan persyaratan Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) sangat penting bagi kelancaran operasional perusahaan life sciences seperti PT Merck Chemicals and Life Sciences (MCLS) yang aktif dalam melakukan kegiatan ekspor dan impor. Proses kompilasi dokumen NPBL di PT MCLS yang selama ini dilakukan secara manual membutuhkan waktu 4 jam 11 menit dan rentan terhadap kesalahan yang dapat menyebabkan keluhan pelanggan akibat keterlambatan ketersediaan barang. Penelitian ini bertujuan untuk meningkatkan efisiensi dan akurasi proses tersebut melalui implementasi teknologi Robotic Process Automation (RPA). Metode penelitian meliputi evaluasi proses bisnis saat ini (as-is) melalui observasi dan wawancara, perancangan workflow RPA menggunakan UiPath Studio, perancangan antarmuka dengan UiPath Apps, dan penerapan teknologi Optical Character Recognition (OCR) Document Understanding dengan Microsoft AI Builder untuk meningkatkan akurasi pencarian dan pemilihan dokumen. Hasil pengujian menunjukkan bahwa sistem RPA mampu mengotomatisasi seluruh tahapan proses kompilasi dokumen NPBL dan menyelesaikannya dalam waktu 26 menit, mengefisiensikan waktu proses hingga 89.66%. Akurasi sistem mencapai 98% dalam pencarian dan pemilihan lisensi, 88.54% dalam penandaan produk, serta 92.81% dalam pengunduhan file Safety Data Sheets (SDS). Implementasi ini juga berhasil menghemat kapasitas kerja sebesar 0.466 FTE dan diterima dengan tingkat penerimaan pengguna sebesar 79%. Abstract Precision and efficiency in managing importation documents,, particularly in fulfilling the requirements for Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) are essential to maintaining the operational continuity of life sciences companies like PT Merck Chemicals and Life Sciences (MCLS), which actively engange in export and import activities. The NPBL document compilation process at PT MCLS, which has been carried out manually, takes 4 hours and 11 minutes and is prone to error, potentially resulting in customer complaints due to delays in goods availability. This study aims to improve the efficiency and accuracy of this process throught the implementation of Robotic Process Automation (RPA). The research methodology includes in evaluating the current business process (as-is) through observation and interviews, designing RPA workflows using UiPath Studio, developing an interface with UiPath Apps, and applying OCR Document Understanding technology using Microsoft AI Builder to enhance the accuracy of document search and selection. The testing results show that the RPA system successfully automated all stages of the NPBL document compilation proccess, completing it in 26 minutes and reducing process time by 89.66%. The system achieved 98% accuracy in license search and selection, 88.54% in product tagging inside the document, and 92.81% in downloading Safety Data Sheets (SDS). Additionaly, the implementation of RPA saved 0.466 FTE in work capacity and was accepted by users with a satisfaction rate of 79%.

Keywords

Collaboration network of the authors

9 authors · 12 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tri Astoto KurniawanUniversity of Brawijaya1
Johan Andoyo Effendi NoorUniversity of Brawijaya1
Fadhilah Alya PrastinandaAffiliation unknown1
Uun HariyantiAffiliation unknown1
Andi Reza PerdanakusumaUniversity of Brawijaya1
Rendra Bayu SetiawanAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Implementasi Robotic Process Automation Pada Proses Kompilasi Dokumen Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) Di Pt Merck Chemicals And Life Sciences</dc:title>
	<dc:title xml:lang="en">Implementasi Robotic Process Automation Pada Proses Kompilasi Dokumen Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) Di Pt Merck Chemicals And Life Sciences</dc:title>
	<dc:creator xml:lang="en">Farhan, Muhammad Ariq</dc:creator>
	<dc:creator xml:lang="en">Sianturi, Riswan Septriayadi</dc:creator>
	<dc:creator xml:lang="en">Santoso, Nurudin</dc:creator>
	<dc:creator xml:lang="id">Farhan, Muhammad Ariq</dc:creator>
	<dc:creator xml:lang="id">Sianturi, Riswan Septriayadi</dc:creator>
	<dc:creator xml:lang="id">Santoso, Nurudin</dc:creator>
	<dc:subject xml:lang="id">Nota Pemberitahuan Barang Larangan/Pembatasan</dc:subject>
	<dc:subject xml:lang="id">efisiensi proses bisnis</dc:subject>
	<dc:subject xml:lang="id">optical character recognition</dc:subject>
	<dc:subject xml:lang="id">UiPath</dc:subject>
	<dc:subject xml:lang="id">Microsoft AI Builder</dc:subject>
	<dc:subject xml:lang="en">Robotic Process Automation</dc:subject>
	<dc:subject xml:lang="en">Nota Pemberitahuan Barang Larangan/Pembatasan</dc:subject>
	<dc:subject xml:lang="en">business process eficiency</dc:subject>
	<dc:subject xml:lang="en">optical character recognition</dc:subject>
	<dc:subject xml:lang="en">UiPath</dc:subject>
	<dc:subject xml:lang="en">Microsoft AI Builder</dc:subject>
	<dc:description xml:lang="id">Ketepatan dan efisiensi dalam penanganan dokumen impor, khususnya pemenuhan persyaratan Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) sangat penting bagi kelancaran operasional perusahaan life sciences seperti PT Merck Chemicals and Life Sciences (MCLS) yang aktif dalam melakukan kegiatan ekspor dan impor. Proses kompilasi dokumen NPBL di PT MCLS yang selama ini dilakukan secara manual membutuhkan waktu 4 jam 11 menit dan rentan terhadap kesalahan yang dapat menyebabkan keluhan pelanggan akibat keterlambatan ketersediaan barang. Penelitian ini bertujuan untuk meningkatkan efisiensi dan akurasi proses tersebut melalui implementasi teknologi Robotic Process Automation (RPA). Metode penelitian meliputi evaluasi proses bisnis saat ini (as-is) melalui observasi dan wawancara, perancangan workflow RPA menggunakan UiPath Studio, perancangan antarmuka dengan UiPath Apps, dan penerapan teknologi Optical Character Recognition (OCR) Document Understanding dengan Microsoft AI Builder untuk meningkatkan akurasi pencarian dan pemilihan dokumen. Hasil pengujian menunjukkan bahwa sistem RPA mampu mengotomatisasi seluruh tahapan proses kompilasi dokumen NPBL dan menyelesaikannya dalam waktu 26 menit, mengefisiensikan waktu proses hingga 89.66%. Akurasi sistem mencapai 98% dalam pencarian dan pemilihan lisensi, 88.54% dalam penandaan produk, serta 92.81% dalam pengunduhan file Safety Data Sheets (SDS). Implementasi ini juga berhasil menghemat kapasitas kerja sebesar 0.466 FTE dan diterima dengan tingkat penerimaan pengguna sebesar 79%.
 
Abstract
Precision and efficiency in managing importation documents,, particularly in fulfilling the requirements for Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) are essential to maintaining the operational continuity of life sciences companies like PT Merck Chemicals and Life Sciences (MCLS), which actively engange in export and import activities. The NPBL document compilation process at PT MCLS, which has been carried out manually, takes 4 hours and 11 minutes and is prone to error, potentially resulting in customer complaints due to delays in goods availability. This study aims to improve the efficiency and accuracy of this process throught the implementation of Robotic Process Automation (RPA). The research methodology includes in evaluating the current business process (as-is) through observation and interviews, designing RPA workflows using UiPath Studio, developing an interface with UiPath Apps, and applying OCR Document Understanding technology using Microsoft AI Builder to enhance the accuracy of document search and selection. The testing results show that the RPA system successfully automated all stages of the NPBL document compilation proccess, completing it in 26 minutes and reducing process time by 89.66%. The system achieved 98% accuracy in license search and selection, 88.54% in product tagging inside the document, and 92.81% in downloading Safety Data Sheets (SDS). Additionaly, the implementation of RPA saved 0.466 FTE in work capacity and was accepted by users with a satisfaction rate of 79%. </dc:description>
	<dc:description xml:lang="en">Ketepatan dan efisiensi dalam penanganan dokumen impor, khususnya pemenuhan persyaratan Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) sangat penting bagi kelancaran operasional perusahaan life sciences seperti PT Merck Chemicals and Life Sciences (MCLS) yang aktif dalam melakukan kegiatan ekspor dan impor. Proses kompilasi dokumen NPBL di PT MCLS yang selama ini dilakukan secara manual membutuhkan waktu 4 jam 11 menit dan rentan terhadap kesalahan yang dapat menyebabkan keluhan pelanggan akibat keterlambatan ketersediaan barang. Penelitian ini bertujuan untuk meningkatkan efisiensi dan akurasi proses tersebut melalui implementasi teknologi Robotic Process Automation (RPA). Metode penelitian meliputi evaluasi proses bisnis saat ini (as-is) melalui observasi dan wawancara, perancangan workflow RPA menggunakan UiPath Studio, perancangan antarmuka dengan UiPath Apps, dan penerapan teknologi Optical Character Recognition (OCR) Document Understanding dengan Microsoft AI Builder untuk meningkatkan akurasi pencarian dan pemilihan dokumen. Hasil pengujian menunjukkan bahwa sistem RPA mampu mengotomatisasi seluruh tahapan proses kompilasi dokumen NPBL dan menyelesaikannya dalam waktu 26 menit, mengefisiensikan waktu proses hingga 89.66%. Akurasi sistem mencapai 98% dalam pencarian dan pemilihan lisensi, 88.54% dalam penandaan produk, serta 92.81% dalam pengunduhan file Safety Data Sheets (SDS). Implementasi ini juga berhasil menghemat kapasitas kerja sebesar 0.466 FTE dan diterima dengan tingkat penerimaan pengguna sebesar 79%.
 
Abstract
Precision and efficiency in managing importation documents,, particularly in fulfilling the requirements for Nota Pemberitahuan Barang Larangan/Pembatasan (NPBL) are essential to maintaining the operational continuity of life sciences companies like PT Merck Chemicals and Life Sciences (MCLS), which actively engange in export and import activities. The NPBL document compilation process at PT MCLS, which has been carried out manually, takes 4 hours and 11 minutes and is prone to error, potentially resulting in customer complaints due to delays in goods availability. This study aims to improve the efficiency and accuracy of this process throught the implementation of Robotic Process Automation (RPA). The research methodology includes in evaluating the current business process (as-is) through observation and interviews, designing RPA workflows using UiPath Studio, developing an interface with UiPath Apps, and applying OCR Document Understanding technology using Microsoft AI Builder to enhance the accuracy of document search and selection. The testing results show that the RPA system successfully automated all stages of the NPBL document compilation proccess, completing it in 26 minutes and reducing process time by 89.66%. The system achieved 98% accuracy in license search and selection, 88.54% in product tagging inside the document, and 92.81% in downloading Safety Data Sheets (SDS). Additionaly, the implementation of RPA saved 0.466 FTE in work capacity and was accepted by users with a satisfaction rate of 79%. </dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2025-08-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jtiik.ub.ac.id/index.php/jtiik/article/view/9542</dc:identifier>
	<dc:identifier>10.25126/jtiik.124</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 12 No 4: Agustus 2025; 951-964</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 12 No. 4: Agustus 2025; 951-964</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.124</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/9542/1480</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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