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International Journal of Multi Discipline Science (IJ-MDS) Vol. 2 No. 1 (2019)

e-ISSN: 2615-1707. Page: 1-3

International Journal of Multi Discipline Science (IJ-MDS) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

STUDY ON THE FORM OF ELECTRICITY THEFT IN AREA X

Hardianto1,*), Akbar2

Bontang College of Technology (STITEK)1,2 hard_yan@yahoo.com1 ,akbarliwang@gmail.com2

*)Corresponding author

Keywords:

Behavior, violations, electricity theft, customers

ABSTRACT

Individual behavior in the category of violations such as theft of electricity can be subject to criminal penalties. The difference in the distribution of power in kWh is allegedly be benchmark for theft action by customers. This study aims to know the form of violations in electricity usage by customers in the time span of 3 years. The data collection uses interview, observation, documentation, and literature studies techniques.

All data were analyzed inductively. The results showed that violations of electricity usage by customers increased from the 1st year (20.4%) to the 2nd year (55.8%), and decreased in the 3rd year (23.8%). The forms of violations include those four categories with category 2 and category 4. The energy consumption spent for 3 years reached 832,113 kWh. The researcher recommends taking preventive, persuasive actions, to the use of smart meter data to suppress and minimize violations in the coming year.

INTRODUCTION

Social life creates quite complex interactions between each individual in attitude and behavior. There are 3 perceptions of the relationship between the two, namely influencing / sometimes not influencing, both bound by norms, and together with norms [1]. Attitude is an action or conduct that is influenced by the level of knowledge to create a belief. Therefore, attitudes can lead to the evaluation aspect, namely accepting or rejecting. Meanwhile, according to Skiner, behavior is a person's response or reaction to the situations and conditions he experiences. Behavior can create an action that is harms or beneficial for both himself and others. Control over behavior that harms others or oneself in society is religious norms, legal norms, and other norms.

Legal norms function as a tool to regulate individuals in social life in order to create a sense of security and order. In relation to an institution, legal norms are manifested in the form of written regulations that are binding on each individual. In Indonesia, there are two legal systems, namely criminal law and civil law. Criminal law aims to prevent or hinder the actions of the community that are not in accordance with applicable law. Van Hamel [2] states that criminal law is all the basics and rules adopted by a country in maintaining legal order (rechtsorde), namely by prohibiting what is contrary to the law and imposing sanctions on those who violate these prohibitions.

The forms of violation of the law that lead to criminal law, one of which is theft. Theft behavior is regulated in the Criminal Code (KUHP) book II chapter XXII Article 362 to Article 367. The category of goods for the act of theft is anything tangible including animals, money, clothes, necklaces, electric power, and gas. The act of electricity theft as an unlawful act has been regulated in

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the Electricity Law Number 30 of 2009 as part of criminal behavior and at the same time as a category of crime. Every individual/group/institution that commits theft of electricity is threatened with criminal threats and fined. Data of electricity theft in Indonesia is quite scattered, such as Balikpapan, East Kalimantan [3], West Sulawesi [4], Riau Kampar Regency [5], Malang City, East Java [6], Makassar City [7]. Meanwhile, on a global scale, electricity theft has increased in 102 countries from 1980 and 2000 [8], dan Mexico [9].

The spread of data on electricity theft that occurs both in Indonesia and globally has prompted researchers to conduct in-depth studies on this behavior. The first step in conducting a study is observation. This observation aims to further identify the forms of electricity theft that have been happening so far. The object of observation in this study is the provider of electricity in area X. The results of the observation show that the total installed power is 55,154,990 VA which is then distributed to 20,943 prepaid kWh meters and 16,677 postpaid customers. Distribution of total power to customers as a basic basis for identifying the presence or absence of theft behavior by customers.

The variables used in the identification of violations of electricity theft include the customer/consumer destroying the seal belonging to the limiting device or not in accordance with the original, changing the ability of the limiting device to be greater, among others by changing the relay setting of the limiting device and reversing the phase with neutral or other things with the aim of affecting the power limit.

METHOD

This study aims to describe the forms of violations of the electricity usage. The forms of violations in this study include class 1 violations, class 2 violations, class 3, and class 4. The categories of violations include category 1, category 2, category 3, and kWh. In accordance with the research objectives to be achieved, so this research includes descriptive qualitative research. To obtain the necessary data, the data collection method uses interview, observation, documentation, and literature studies by involving the manager and the customer. Determination of the research sample using simple random sampling technique in the 1st year, 2nd year, and 3rd year. With this technique, there are 1200 customers in the 1st year, 1200 customers in the 2nd year, and 700 customers in the 3rd year. The research data were then analyzed inductively, namely data reduction, data exposure, verification and conclusion drawing.

RESULTS AND DISCUSSION

Violations of electricity supply in area X are distributed in the types of class violations (Decree of the Board of Directors of PLN Number: 1486.K/DIR/2011 concerning Control of Electricity Use (P2TL)) and categories (Decision of the Board of Directors of PLN Number: 163-1KIDIR/2012 concerning Adjustments Electricity Consumption Account).

The class violations in question include:

a. Class violations I (P-I) are violations that affect the power limit. Markers of this violation include:

1) The barrier seal is missing, damaged, or does not match the original.

2) The limiting device itself is missing, damaged, or does not match the original.

3) There is a change in the limiting device, especially in the limiting relay setting and reversing the phase with neutral which causes the limiter's ability to be greater.

4) There are other factors that have the purpose of influencing the power limit.

b. Class violationsII (P-II) are violations that affect energy measurement. Markers of this violation include:

1) The Tera seal and/or PLN's seal on the measuring instrument and/or its equipment is one or all of them missing/incomplete, damaged/broken, or does not match with the original.

2) The measuring tools and/or its equipment is missing or does not match the original.

3) The Measuring tools and/or equipment are not functioning properly even though all PLN Seals and Tera Seals are complete and good condition.

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c. Class violations III (P-III) are violations that affect the power limit and affect energy measurements.

d. Class violations IV (P-IV) are violations committed by non-customers.

Meanwhile, for violations by category include:

a. Category 1 can occur due to:

1) The multiplication factor of the meter of the local measuring instrument is not the same as the time factor written on the account.

2) The use of electricity to customers whose designation is not in accordance with the power and/or tariff class on the basis of legal rights/power purchase agreement letter.

3) The correction factor on the billed account does not match the measurement con- nection system installed by the local customer.

4) The transformer usage factor in the customer master data does not match the lo- cale.

5) The reading of the local kWh and kVA meter register numbers does not match the meter number on the account.

6) Mutation failure that causes the account bill not to comply with the applicable provisions.

7) The time switch is not working properly.

b. Category 2 can occur because (1) the amount/all of the energy that has been used by the customer is not measurable and not recorded. There are 2 factors that can affect this condition, namely the incompatibility of the wiring of the measuring tool and the measuring tool and equipment not functioning. As long as the seal does not change, the fault is not imposed on the customer as a violation and (2) the amount of power that has been used by the customer is more than or less and the power on the legal rights / power purchase agreement letter and the account is not in accordance with the legal rights. The cause of this condition consists of the limiting device not functioning properly, and the limiting device installed is larger or smaller than it should be. As long as the limiting device is larger than it should be and the seal is not damaged then the fault is not imposed on the customer.

c. Category 3 may occur due to natural conditions and/or PLN's limitations and/or events beyond the control of the Customer or PLN such as broken Tera seals due to corrosion and APP/APP equipment damaged due to corrosion.

d. kWh means a pure follow-up bill due to switching/updating manual kWh to digital.

The number of violations committed by customers according to class and category violations can be observed in table 1.

Table 1. Number of Violations During Observation

Year Class Category Number

P-I P-II P-III P-IV K-I K-II K-III kWh

1st 8 2 24 5 0 0 0 0 39

2nd 5 5 2 0 0 8 0 67 87

3rd 4 5 1 7 0 63 0 13 93

According to the data in table 1, class 3 violations in the 1st year ranked the most compared to other class violations and no categories of violations were found. This indicates that the class 3 violation is purely based on influencing these power limits and measurements. There was a decrease in class violations in the 2nd year and no 4th class violations were found. However, class violations in the 2nd year were identified in category 2 with a small number and quite dominant kWh. This indicates that the violation committed by the customer was caused by an unmeasured and recorded amount of energy as well as a pure bill due to the change of kWh from manual to digital. In the 3rd year there were additional cases of class and category violations. The addition of these violations occurred in the quantity of class IV and category 2 violations. This class 4 violation occurred due to non-customers such as requests from relatives/neighbors to supply electricity through cables. Whereas in category 2 it is caused by the non-functioning of recording so that the energy expended is not

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recorded properly.

For the violations that occurred from the 1st year to the 3rd year, the amount of excess energy reached 832,113 kWh. Data excess energy in each year can be observed as table 2.

Table 2 Recapitulation of violations and losses received by the manager Year Class and Category Energy

(kWh)

Percentage

1st 39 169,766 20,4

2nd 87 463,960 55,8

3nd 93 198,387 23,8

Number 219 832,113 100

According to the data in table 2, the distribution of excess energy distributed to customers is quite high every year. The biggest excess of energy occurred in 2ndyear compared to other years. Based on data analysis that shows a trend of increasing violations and excessive use of electrical energy, it is recommended that electricity providers in area X can take preventive and persuasive measures so that violations in the following years can be minimized. This kind of electricity theft is very detrimental to the community, can cause environmental damage and cause economic problems due to the increasing number of services that need to be provided [9]. Beside that, it was found that several factors that encourage someone to behave in this way are corruption, population displacement, and poverty [10].

Other factors are low legal awareness, the presence of irresponsible persons, the factor of fines that must be paid by customers, installation deviations and lack of socialization from electricity providers [7].

CONCLUSIONS

The behavior of electricity theft by customers is a classic problem that causes various losses. The level of electricity theft in area X shows an increase in violations over the last 3 years based on the data.

The forms of violations are distributed based on the decisions of the Board of Directors, namely class and category violations. The highest class violations during the 3 years of the study occurred in class III. Class violations based on categories were not found in the first year of the study and only appeared in the 2nd and 3rd years, especially categories 2 and kWh. Seeing the trend of violations, it is necessary to take preventive and persuasive efforts. Systemically, the detection of electricity theft can use a smart data meter [11], [12].

ACKNOWLEDGMENT

The research team would like to thank all those who have contributed to the success of the research.

Hopefully the research results can be used to add references in revealing various forms of electricity violations. By knowing various forms of violations, providers can anticipate/minimize forms of violations early and at the same time make it easier to control/monitor customers' power consumption and electrical energy. Through these efforts, losses can be prevented in the following years and customers can have knowledge that the behavior of electricity theft is a criminal act.

REFERENCES

[1] Y. Suharyat, “Hubungan Antara Sikap, Minat dan Perilaku Manusia,” Region, vol. 1, no. 3, pp.

1–19, 2009.

[2] Moeljatno, Asas-Asas Hukum Pidana. Jakarta: Rineka Cipta, 2009.

[3] D. William, “Legal Accountability The Suspect Theft of Electricity In The City of

Balikpapan,” Lex Suprema (Jurnal Huk. Fak. Huk. Univ. Balikpapan), vol. 2, no. 1, pp. 219–

239, 2020.

[4] S. Ismail, “Tinjauan Kriminologis - yuridis Terhadap Tindak Pidana Pencurian Aliran Listrik (Studi Kasus di PLN Wilayah Sulselbar),” University of Muhammadiyah Malang, 2018.

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[5] Y. Vandiwinata, “Penyelesaian Tindak Pidana Pencurian Aliran Listrik Di Luar Pengadilan Berdasarkan Undang-Undang Nomor 30 Tahun 2009 Tentang Ketenagalistrikan Di Wilayah Hukum Tapung Kabupaten Kampar,” JOM Fak. Huk., vol. 5, no. 2, pp. 1–15, 2018.

[6] R. Arsenal, “Upaya Pt Pln Dalam Menanggulangi Pencurian Aliran Tenaga Listrik Di Kota Malang (Studi Di Pt Pln Persero Kota Malang),” Universitas Muhammadiyah Malang, 2021.

[7] N. A. H. A. R. Alfarabi, “Aspek Kriminologis Terhadap Kejahatan Pencurian Listrik Di Wilayah Kota Makassar,” J. Lex Gen., vol. 2, no. 6, pp. 1703–1715, 2021.

[8] T. B. Smith, “Electricity theft: A comparative analysis,” Energy Policy, vol. 32, no. 18, pp.

2067–2076, 2004, doi: 10.1016/S0301-4215(03)00182-4.

[9] H. Briseño and O. Rojas, “Factors associated with electricity theft in Mexico,” Int. J. Energy Econ. Policy, vol. 10, no. 3, pp. 250–254, 2020, doi: 10.32479/ijeep.9002.

[10] V. Gaur and E. Gupta, “The determinants of electricity theft: An empirical analysis of Indian states,” Energy Policy, vol. 93, pp. 127–136, 2016, doi: 10.1016/j.enpol.2016.02.048.

[11] P. Chandel and T. Thakur, “Smart Meter Data Analysis for Electricity Theft Detection using Neural Networks,” Adv. Sci. Technol. Eng. Syst., vol. 4, no. 4, pp. 161–168, 2019, doi:

10.25046/aj040420.

[12] Z. A. Khan, M. Adil, N. Javaid, M. N. Saqib, M. Shafiq, and J. G. Choi, “Electricity theft detection using supervised learning techniques on smart meter data,” Sustain., vol. 12, no. 19, pp. 1–25, Oct. 2020, doi: 10.3390/su12198023.

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