Analisa Penyebab Un-Accounted Gas Jaringan Gas Rumah Tangga Di Indonesia Menggunakan Text Analytics

Hermanto, Emi Heru (2024) Analisa Penyebab Un-Accounted Gas Jaringan Gas Rumah Tangga Di Indonesia Menggunakan Text Analytics. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pembangunan dan pengembangan jaringan gas bumi sektor rumah tangga (jargas) di Indonesia merupakan salah satu Upaya Pemerintah menuju Transformasi Energi Nasional menuju Zero Net Carbon pada tahun 2060. Dalam pengembangannya, ditemukan beberapa tantangan yang harus diselesaikan oleh para Pihak yang berkepentingan. Salah satu tantangan besar yang dihadapi dalam pengembangan jargas adalah adanya nilai Un-accounted Gas atau dapat juga disebut dengan gas losses yang merupakan sejumlah gas yang tidak dapat diketahui keberadaannya, seperti contoh nilai Un-accounted Gas jargas tahun 2022 di sebuah wilayah mencapai rata-rata -24,55%. Besarnya nilai UAG perlu diketahui oleh para Pihak, sehingga dilakukan penelitian dengan menggunakan data operasional berupa Laporan bulanan berisikan text bebas dengan metode text analytics. Text analytics digunakan untuk melakukan Analisa agar mengetahui faktor penyebab terjadinya nilai UAG di Jargas. Analisa menggunakan beberapa tools yang mendukung Phyton diantaranya Anaconda, dan Power BI. Analisa data menggunakan 3.584 rangkai kata, dengan 42 variabel penyebab UAG, kemudian diekstrak menjadi 60 Token atau kata kunci, selanjutnya dilakukan Analisa pada 52 token unik, kemudian fokus kepada 19 token utama. Hasil Analisa menunjukkan bahwa -24,55% penyebab UAG disebabkan oleh kebocoran (15,56%), aktivitas pihak ketiga (3.52%), un-register pelangan (2,22%), aktivitas gas-in (1,99%), dan akurasi alat ukur (1,42%). Dari hasil penelitian, disarankan agar dapat dilakukan validasi data lapangan pada masing-masing Area, dengan menambahkan kata kunci yang belum masuk pada 60 kata kunci di penelitian ini.
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The development and growth process of domestic gas network in Indonesia is one of the Government's efforts towards National Energy Transformation or Zero Net Carbon Emissions by 2060. In its development, a number of challenges have been found to be addressed by the parties concerned. One of the major challenges faced in the development of jargas is the presence of unaccounted gas or gas losses, which is an unknown amount of gas, such as, for example, the value of un-acccounted gaseous gas in 2022 in a region reaches an average of -24,55%. The size of the UAG value needs to be known by the parties, so research is carried out using operational data such as a monthly report containing free text with the method of text analytics. Text analytics is used to perform Analysis to find out the factors causing the occurrence of value of UAG in Jargas. The analysis uses a number of Phyton-supported tools, including Anaconda, and Power BI. The data analysis uses 3,584 word strings, with 42 UAG cause variables, then extracted into 60 Tokens or keywords, then performed the analysis on 52 unique tokens, then focused on 19 main tokens. The results of the analysis showed that -24,55% of UAG causes are due to leakage (15,56%), third-party activity (3.52%), un-registered thieves (2,22%), gas-in activity (1,99%), and accuracy of measuring instruments (1,42%). From the results of the research, it is suggested that field data validation can be carried out on each Area, by adding keywords that have not yet entered the 60 keyword in this study.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Pengendalian Un-accounted Gas (UAG), Gas Losses, Program Jargas, Text analytics Pengendalian Un-accounted Gas (UAG), Gas Losses, Program Jargas, Text analytics
Subjects:	Q Science > QA Mathematics > QA278.55 Cluster analysis T Technology > T Technology (General) > T174.5 Technology--Risk assessment. T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Emi Heru Hermanto
Date Deposited:	16 Feb 2024 07:37
Last Modified:	16 Feb 2024 07:37
URI:	http://repository.its.ac.id/id/eprint/107544

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