Garuda - Garba Rujukan Digital

Pengaruh Stres Kerja dan Organizational Behavior (OBC) Terhadap Kinerja Personel Satlantas Aceh Besar dalam Menekan Angka Kecelakaan Lalu Lintas Anas, Hanifah; Earlyanti, Novi Indah; Prianggono, Jarot; Prianggono, Halimah
Jurnal Riset Sosial Humaniora dan Pendidikan Vol. 4 No. 2 (2025): Juni : Jurnal Riset Sosial Humaniora, dan Pendidikan
Publisher : LPPM Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/soshumdik.v4i2.2694

In an effort to reduce the number of work accidents, Satlantas members as the responsible party need to maintain their performance in the field. However, in reality, performance can be influenced by other variables such as work stress and OCB. This will affect the results and quality of performance carried out. The purpose of this study was to determine the relationship and influence between two variables, namely work stress (X1) and OCB (X2) on the performance (Y) of Satlantas Aceh Besar members in reducing traffic accidents. This study is a study with a quantitative approach using a survey method. Data collection was carried out by distributing questionnaires containing 50 statements to 44 respondents of Satlantas Aceh Besar. Data analysis in this study used multiple linear regression, which produced the equation Ŷ = a + b1X1 + b2X2 + e where work stress and performance have a negative relationship direction with a coefficient value of -0.247, while the tcount value> ttable (-2.020) which means H0 is rejected. Then the results of the OCB t-test on performance have a t-value of 7.465 which is greater than the t-table of 2.020 so that H0 is accepted and OCB has an effect on performance with an F-value of 52.182 greater than the Ftable of 3.226 meaning that H0 is accepted which means that work stress and OCB together have an effect on performance. Then the results of the determination coefficient are known to be 0.718 which means that work stress and OCB have an effect on performance of 71.8%. From these results it can be concluded that work stress does not have a significant effect on member performance, while OCB has a significant effect on member performance and OCB with work stress together affect member performance.

Implementation of Sexual Violence Criminal Resolution by Pidie District Police in Building a Sense of Justice Setyadi, Rangga; Prianggono, Jarot; Halimah; Safii, Mifta Hadi
Journal of Law, Politic and Humanities Vol. 5 No. 5 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i5.1771

This study aims to describe the implementation of sexual violence crime resolution by the Pidie District Police in building a sense of justice and to identify the factors hindering the resolution of sexual violence cases by the Pidie District Police. The theoretical framework used for analysis includes Performance Theory, Law Enforcement Theory, and the Concept of Sexual Violence. This research employs a qualitative approach with a descriptive research method. Primary data is collected through interviews and observations, while secondary data is obtained through documentation studies. The data analysis techniques in this research include data reduction, data presentation, and data verification. The research approach focuses on the handling of sexual violence crimes at the Pidie District Police, showing a significant increase in cases between 2023 and 2024. The Women and Children Protection Unit (PPA) at Pidie District Police plays a crucial role in enforcing the law and protecting victims through a professional criminal justice system, involving various related institutions. However, challenges such as limited human resources, facilities, threats to victims, and social stigma against victims remain significant obstacles. Efforts to enhance personnel capacity, facilitate victim recovery, and strengthen cooperation with the community and relevant institutions are needed to improve the effectiveness of case handling. The Pidie District Police continues to enhance training and capacity building for personnel in the Women and Children Protection Unit (PPA) to address challenges in handling sexual violence cases, focusing on improving skills in victim conducting-sensitive investigations and strengthening inter-institutional coordination to provide more effective protection for victims.

Analisis Klasifikasi Tindak Kejahatan Pencurian dengan Algoritma K-Nearest Neighbor dan Naive Bayes di Polres Buol Nandito Marbun; Jarot Prianggono
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 5 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Mei - Juni 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i5.5175

Salah satu teknik data mining yang efektif adalah penggunaan algoritma machine learning. Machine learning, sebagai cabang dari kecerdasan buatan (AI), memungkinkan komputer belajar dari data dan pengalaman tanpa pemrograman eksplisit. Penelitian ini tertarik mengeksplorasi potensi sistem prediksi untuk membantu kepolisian RI dalam menangani dan mencegah tindak kriminal, khususnya pencurian. Studi dilakukan dengan membandingkan dua algoritma, yaitu k-Nearest Neighbors (K-NN) dan Naive Bayes, dalam memprediksi tindak pidana pencurian di wilayah Polres Buol. K-NN bekerja berdasarkan kedekatan data, sementara Naive Bayes menggunakan pendekatan probabilistik berbasis teorema Bayes. Hasil penelitian menunjukkan bahwa K-NN memiliki kinerja lebih unggul dalam klasifikasi data pencurian berdasarkan lokasi, waktu, dan jenis kejadian. K-NN mencatat nilai akurasi, presisi, recall, dan F1-score yang lebih tinggi dibandingkan Naive Bayes. Prediksi juga mengungkapkan bahwa sebagian besar pencurian terjadi pada dini hari, diduga karena minimnya pengawasan atau ketidakhadiran pemilik. Temuan ini menyarankan perlunya peningkatan patroli pada waktu rawan, baik malam maupun siang hari di lokasi padat penduduk. Patroli acak di malam hari dinilai efektif mencegah aksi kejahatan dengan menciptakan rasa diawasi bagi pelaku.

Prediksi Tindak Pidana UU Ite Dengan Metode K-Nn Oleh Personel Polres Metro Bekasi Era Police 4.0 Firmansyah, Adimas; Prianggono, Jarot
Journal of Comprehensive Science Vol. 2 No. 5 (2023): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v2i5.341

Seiring kemajuan zaman, kejadian kejahatan online mengalami peningkatan yang signifikan. Maka dengan kondisi ini perlu peningkatan penanganan terhadap kejahatan online. Hal ini sesuai dengan Program Prioritas Kapolri yaitu Menjadikan Sumber Daya Manusia Polri yang Unggul di Era Police 4.0. Penelitian ini dilakukan untuk mengetahui jenis tindak pidana dalam UU ITE atau kejahatan online, kemudian mengevaluasi hasil prediksi metode K-NN (K-Nearest Neighbor) terhadap kejahatan online dan menganalisi profil korban kejahatan online berdasarkan dataset. Metode penelitian yang digunakan dalam penelitian ini adalah kuantitatif didukung kualitatif. Hasil penelitian menunjukan bahwa mayoritas kejahatan online yang terjadi di wilayah hukum Polres Metro Bekasi adalah penipuan online, hacking/cracking dan penghinaan/pencemaran online. Sedangkan hasil prediksi menggunakan metode K-NN diketahui rerata hasil akurasi terbaik senilai 98,67% pada rasio data training 90% dan 10% data testing dengan menggunakan k = 1,3,5,7,9. Sementara profil korban kejahatan online diketahui mayoritas berjenis kelamin laki-laki, pekerjaan korban mayoritas adalah tenaga profesional, usia korban banyak terjadi pada usia dewasa awal, tempat tinggal korban mayoritas di perkotaan dan TKP sering terjadi di pusat kota. Waktu kejadian cukup banyak terjadi ketika pagi dan dini hari dan hari kejadian cukup tinggi ketika hari rabu.

Analisis Klasifikasi Tindak Kejahatan Pencurian dengan Algoritma K-Nearest Neighbor dan Naive Bayes di Polres Buol Nandito Marbun; Jarot Prianggono
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 5 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Mei - Juni 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i5.5175

Salah satu teknik data mining yang efektif adalah penggunaan algoritma machine learning. Machine learning, sebagai cabang dari kecerdasan buatan (AI), memungkinkan komputer belajar dari data dan pengalaman tanpa pemrograman eksplisit. Penelitian ini tertarik mengeksplorasi potensi sistem prediksi untuk membantu kepolisian RI dalam menangani dan mencegah tindak kriminal, khususnya pencurian. Studi dilakukan dengan membandingkan dua algoritma, yaitu k-Nearest Neighbors (K-NN) dan Naive Bayes, dalam memprediksi tindak pidana pencurian di wilayah Polres Buol. K-NN bekerja berdasarkan kedekatan data, sementara Naive Bayes menggunakan pendekatan probabilistik berbasis teorema Bayes. Hasil penelitian menunjukkan bahwa K-NN memiliki kinerja lebih unggul dalam klasifikasi data pencurian berdasarkan lokasi, waktu, dan jenis kejadian. K-NN mencatat nilai akurasi, presisi, recall, dan F1-score yang lebih tinggi dibandingkan Naive Bayes. Prediksi juga mengungkapkan bahwa sebagian besar pencurian terjadi pada dini hari, diduga karena minimnya pengawasan atau ketidakhadiran pemilik. Temuan ini menyarankan perlunya peningkatan patroli pada waktu rawan, baik malam maupun siang hari di lokasi padat penduduk. Patroli acak di malam hari dinilai efektif mencegah aksi kejahatan dengan menciptakan rasa diawasi bagi pelaku.

PENGARUH KUALITAS PELAYANAN SAMSAT DRIVE THRU TERHADAP KEPUASAN MASYARAKAT DI POLDA METRO JAYA Jarot Prianggono; Heru Adrian
Makna: Jurnal Kajian Komunikasi, Bahasa, dan Budaya Vol. 1 No. 1 (2010): MAKNA : Jurnal Kajian Komunikasi, Bahasa dan Budaya
Publisher : Fakultas Komunikasi, Sastra, dan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/makna.v1i1.756

Quick Wins program that prioritizes transparency is a program to improve job performance by means of maximizing public services. One of the police service improvement program to the public is the process of issuance of Vehicle registration plates (vehicle registration). This is accomplished by holding Samsat Drive Through; the vehicle registration renewal management services by using information technology facilities. Generally, This study aims to measure public satisfaction regarding the services of Samsat Drive Thru given by Polda Metro Jaya (Jakarta Police Department). This study uses quantitative approach with survey methods. Results of the study proved a link between the quality Samsat Drive Thru service and satisfaction the user community at Polda Metro Jaya. Furthermore there is a strong enough influence between quality Samsat Drive Thru service and public satisfaction in the Polda Metro Jaya. While the factors that affect the quality of Samsat Drive Thru service to the public satisfaction at Polda Metro Jaya is community participation, awareness of law and public compliance with laws and legislation especially in the field of traffic is increasing.

PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN WAJIB PAJAK DALAM PENERBITAN SURAT TANDA NOMOR KENDARAAN DI SAMSAT BALIKPAPAN Jarot Prianggono; Dax E.S. Manupputy
Makna: Jurnal Kajian Komunikasi, Bahasa, dan Budaya Vol. 1 No. 2 (2010): MAKNA : Jurnal Kajian Komunikasi, Bahasa dan Budaya
Publisher : Fakultas Komunikasi, Sastra, dan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/makna.v1i2.1061

The study is to examine the influence of service quality to satisfaction of taxpayers in the issuance of registration plates of vehicle (STNK) in SAMSAT Balikpapan. The purposes of this study are: (1) to know the effect of service quality provided to the satisfaction of taxpayer, (2) to know how big influence the quality of services provided to the satisfaction of taxpayer, and (3) to determine the factors that influence quality of services provided. This study uses a quantitative approach with survey methods, with a total of 318 respondents taxpayer. The result shows there is significant influence between each variable quality of service and simultaneously (shared) to the satisfaction of taxpayers. The contribution of variable reliability to the satisfaction of taxpayers amounted to 16.6%, for the variable responsiveness has the effect of 16.8%, for the variable assurance amounted to 20.7%, for the variable of empathy is at 33.7%, and for variable tangibles has the effect of 46.1%. Impact of service quality simultaneously (reliability, responsiveness, assurance, empathy, and tangibles) to satisfaction of taxpayers amounted to 51.4%. While for the other 48.6% influenced by other variables. Other factors that influence service quality to satisfaction of taxpayers are external factors such as community demands, and internal factors namely the Polri Bureaucratic Reform factor and Balikpapan SAMSAT service system changes such as changes in service procedures and application of ISO 9001:2008 Quality Management System

THE EFFECTS OF THE FRAMING OF NEGATIVE MESSAGES AND THE SOURCE’S CREDIBILITY TO ATTITUDES: A STUDY ON GIVING COVID-19’S HEALTH PROTOCOL ADVICE TO NGALIYAN MARKET TRADERS IN SEMARANG Nailul Khikam; Jarot Prianggono
Makna: Jurnal Kajian Komunikasi, Bahasa, dan Budaya Vol. 10 No. 1 (2022): MAKNA: Jurnal Kajian Komunikasi, Bahasa dan Budaya
Publisher : Fakultas Komunikasi, Sastra, dan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/makna.v10i1.3233

Covid-19 has significant social and economic impacts on society. The Indonesian National Police (Polri) as law enforcement officers have an important role to communicate the Covid-19’s health protocols to the public. The present study aims to analyze the effects of the framing of negative messages and the source’s credibility on the attitudes of Ngaliyan market’ traders. The present research is based on the message framing’s theory, source credibility’s theory and attitudes theory. The present study uses a quantitative approach by distributing a set of questionnaires to 100 Ngaliyan’s market traders. The results of present study show that the framing of negative messages’ variables have a positive and significant effect with a regression coefficient of 0.206. Similarly, the source credibility’s variable has a positive and significant effect with a regression coefficient of 0.467 on traders' attitudes with each degree of significance 0.05. The results show that the framing of negative messages can affect the participants’ attitudes positively.

Classification of Traffic Violations Using the Naïve Bayes Algorithm at Padang City Police Gerryliyus Febrera; Jarot Prianggono
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.10018

Traffic violations have been increasing each year. According to data from the Padang City Police from 2018 to 2023, there were 128,913 traffic violation cases. This is not a small number, and it is time for the police to start utilizing machine learning (ML) technology to evaluate traffic violation cases, as ML can identify hidden patterns or information that cannot be detected manually by conventional statistics or by traffic officers. This research aims to classify traffic violations using the Naïve Bayes algorithm at the Padang City Police by conducting evaluations and comparisons using different dataset ratios. The best algorithm obtained from the comparison will then be analyzed, and the research findings are expected to serve as a reference for the relevant authorities. This research is quantitative in nature, using an experimental method. The data sources or information were obtained from traffic ticket documentation at the Padang City Police and questionnaires distributed to traffic officers of the Padang City Police. The research results show that the Naïve Bayes (NB) algorithm can be used to classify traffic violations at the Padang City Police. The performance test results of the Naïve Bayes (NB) algorithm using all comparison algorithms with different training and testing dataset ratios resulted in 100% accuracy. However, during cross-validation, the Naïve Bayes algorithm achieved the highest accuracy only with training and testing dataset ratios of 80%:20% and 90%:10%. This is due to the large dataset size in this research, which is more than 100,000 entries. The evaluation results of the Naïve Bayes algorithm show that the best model is achieved with the Naïve Bayes algorithm using an 80% training and 20% testing dataset split. Although the performance is similarly high with a 90%:10% training and testing ratio, the researcher chose the 80%:20% training and testing ratio as the best algorithm for reasons of efficiency during training. The argument is that even with just 80%, it is able to predict/classify 20%, which is more efficient than training 90% to predict/classify 10%. Another finding from this implementation is that with a large dataset of 100,000 entries or more, high and stable performance can be achieved, so this research also suggests that to achieve good results from traffic violation classification, the dataset should be above 100,000 entries.

Title

Found 29 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 29 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 29 Documents
Search