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Jurnal Pekommas
Published by Sekolah Tinggi Multi Media Yogyakarta
ISSN : 25021893     EISSN : 25021907     DOI : 10.56873
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media
Pekommas is a journal published by the BBPSDMP Kominfo Makassar with the aim of disseminating information on scientific developments in communication, informatics and mass media. The manuscript published in this journal is derived from research and scientific study conducted by researchers, academics and observers of communication, informatics and mass media. Rises with frequency of 2 times a year, namely in April, October.
Arjuna Subject : -
Articles 371 Documents
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Adopsi TIK di DPR RI: Analisis TAM dan Pelajaran dari Parlemen Inggris Ardiyanti, Handrini
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5581

Abstract

This study analyzes the adoption of Information and Communication Technology (ICT) in the Indonesian House of Representatives through the lens of the Technology Acceptance Model (TAM) and draws lessons from the UK Parliament. The analysis is divided into four parts: 1) Historical context and policy framework of ICT adoption in the Indonesian House of Representatives; 2) Policy and strategy of ICT adoption in the Indonesian House of Representatives; 3) Best practice from the UK Parliament; and 4) Challenges of Big Data Management in the Indonesian House of Representatives. The study provides an in-depth understanding of ICT adoption in the Indonesian House of Representatives and valuable lessons from the UK Parliament experience to enhance ICT adoption effectiveness. Study conclusions include: 1) The importance of a Big Data system, particularly for bill digest summaries; 2) The early stage of ICT adoption in the Indonesian House of Representatives; 3) Prioritization of bill digest availability to enhance public engagement in the legislative process; 4) Crucial collaboration with state institutions for Big Data integration, aligned with the national one data initiative. The Indonesian House of Representatives plays a central role in providing legislative data in Indonesia.
Optimalisasi Klasifikasi Support Vector Machine dengan SMOTE: Studi Kasus Ulasan Pengguna Aplikasi Alfagift Mulianti, Adhani; Chrisnanto, Yulison; Ashaury, Herdi
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5583

Abstract

Support Vector Machine (SVM) is a supervised learning algorithm that works by classifying based on classes that refer to patterns resulting from the training process. SVM has several commonly and popularly used kernels, one of which is the linear kernel. The weakness of SVM is in the "parameter selection" and its performance tends to be poor in the case of unbalanced datasets. The purpose of this study is to overcome the weaknesses of the SVM algorithm with the proposed method. This research uses a linear kernel with feature extraction that is Word2Vec with Skip-gram model, and in handling the data imbalance problem using SMOTE (oversampling) technique. The results showed that the unbalanced dataset produced an accuracy of 90% and the balanced dataset (SMOTE) produced an accuracy of 92%, so the SMOTE oversampling technique was proven to increase the accuracy results by 2%.
Optimasi Klasifikasi Sentimen pada Komentar Online menggunakan Multinomial Naïve Bayes dan Ekstraksi Fitur TF-IDF serta N-grams Gerliandeva, Alfin; Chrisnanto, Yulison; Ashaury, Herdi
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5585

Abstract

The Naïve Bayes (NB) algorithm is a classifier method that calculates simple probabilities and it is suitable for text classification in the context of sentiment analysis. The classic variant of NB is Multinomial Naïve Bayes (MNB). The weakness of the MNB algorithm is the assumption of feature independence. This research uses a dataset of comments and reviews from various online platforms. This study uses the proposed method to handle the weakness of the MNB algorithm, namely the use of TF-IDF feature extraction and N-grams (1-gram to 5-gram), and the use of Chi-Square feature selection, as well as handling dataset imbalance using SMOTE (oversampling and undersampling method). The results of this study show that the use of pentagram (5-gram) with data that has been oversampled by SMOTE produces the highest accuracy value of 94% and an Area Under Curve (AUC) value of 100%
Identifikasi Anomali Transformator Menggunakan Algoritma Machine Learning AdaBoost apriyani, meyti eka; Ekojono, Ekojono; Siswanto, Sela Aulia
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5765

Abstract

Electrical energy is one of the most important needs in the local area, concerning the provision of electrical power a transformer is needed to distribute electrical power to each house. The use of transformers in each area requires testing the oil content in them to assess the state of the transformer. The Duval Pentagon Method (DPM) and the Duval Triangle Method (DTM) can be used in tests to identify transformer interference. Owing to the vast quantity of transformers utilized in public energy distribution, the Adaboost machine learning method was applied to identify transformer disruptions. By categorizing test data on a dataset derived from tests conducted with the earlier DTM and DPM techniques, the AdaBoost algorithm predicts transformer disruptions. According to the findings of tests conducted using the best dataset, the division used 80% of the data for training and reserved 20% for testing, using a learning rate of 1 and an estimator of 400 for DTM. This resulted in an accuracy level of 91.1%, which is an excellent classification. In contrast, the DPM approach divides the dataset into 80% training and 20% testing, employs an estimator of 500, and has a learning rate of 0.5. This leads to an excellent classification accuracy rate of 84.9%.
Pengaruh Media Sosial terhadap Budaya Konsumsi Kuliner di Kalangan PNS Muda di Kota Besar Asmayadi, Deni
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5822

Abstract

This research seeks to explore how social media influences and shapes communication behaviors related to culinary consumption among middle-class individuals, particularly young civil servants in major cities. Culinary trends today are predominantly driven by younger generations who are adept with technology. This study examines how young civil servants utilize social media to influence their own culinary habits as well as those of their families. Importantly, previous research has not specifically addressed the social media consumption behaviors of young civil servants or the potential risks they may encounter as public servants. Adopting a qualitative approach, The author conducted in-depth interviews with 10 young civil servants in one civil servant office in Jakarta. The findings indicate that Instagram serves as a primary resource for culinary information, with users frequently engaging with the "save" and "share" features. Some participants reported feeling a sense of addiction to culinary content, which often resulted in impulse purchases and a fear of missing out (FOMO). Additionally, social media-driven culinary choices are made not only to satisfy hunger but also to fulfill other personal motivations
Sebuah Jalur Hidup Digital: Penerimaan Pengguna Terhadap Aplikasi Deteksi Penyakit Jantung Koroner Wikarsa, Liza; Sanger, Junaidy; Taulu, Angelica
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5826

Abstract

Cardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable consistency
Sistem Deteksi Intrusi Hybrid dan Mitigasi Kerentanan Infrastruktur Jaringan Menggunakan Teknik Active Response (XDR) Wazuh dan Suricata Damanik, Hillman Akhyar; Anggraeni, Merry
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5829

Abstract

The complexity of cyber threats against the network infrastructure of companies, educational institutions, and government makes protecting network infrastructure a top priority. Router and server devices are highly vulnerable to various types of cyber threats, requiring comprehensive detection and response solutions. This research will implement an intrusion detection system by integrating SIEM technology and Wazuh XDR (Extended Detection and Response). This system analyzes index pattern data from Wazuh agent devices to detect and respond to attacks using the XDR active response firewall. The testing was conducted MikroTik RouterOS, Ubuntu Server 20.04 as Wazuh agent to test reconnaissance attacks, brute force and DoS attacks. The results of the research show Nmap and brute force attacks were successfully detected by Wazuh manager and blocked the attacker IP malicious through active response. Detection of brute force attacks showed an increase in traffic of up to 60 Kbps and CPU usage reached 100%, then decreased after the active response firewall was activated. Authentication failure reached 2198 times in the first hour of the brute force attack. CPU usage increased from 20% to 85% during the attack and decreased to 15% after the active response firewall was activated. DoS attacks, on MikroTik experienced an increase in CPU usage of up to 61% and memory of 67%. After activating the active response firewall, CPU usage decreased to 3%. Traffic on the MikroTik interface increased to 3.3 Mbps during the attack, then decreased to 1 Kbps after the firewall was activated  
Kepemimpinan Transformasional, Keamanan Psikologis, dan Kompetensi TIK: Pengaruhnya terhadap Kinerja Karyawan Siminto; Almaududi Ausat, Abu Muna; Shafiq, Muhammad Aqib; Judijanto, Loso; Azzaakiyyah, Hizbul Khootimah
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5831

Abstract

In the growing digital era, transformational leadership has become one of the key factors in improving employee performance. It motivates employees to achieve organizational goals and creates a psychologically safe environment, where employees feel valued and supported. This study aims to examine the influence of transformational leadership and psychological safety on employee performance, by exploring the mediating role of ICT competence in Subang Regency MSMEs. This study employs a quantitative approach utilizing SEM-PLS methodology to explore the interrelationships among relevant variables. The research was conducted on 55 SMEs, using an online questionnaire as the data collection tool. This study emphasizes that ICT competence acts as a crucial mediating factor in the relationship between transformational leadership and psychological safety on employee performance in MSMEs in Subang Regency. The analysis results show that transformational leadership and psychological safety have a positive and significant impact on employee performance, which is enhanced by ICT competence. Transformational leadership improves employee performance by strengthening technical skills, technology knowledge, and the ability to adapt to new technologies. Similarly, psychological safety, supports employee performance through increased ICT competence, which facilitates productivity, work quality, and innovation.
Keterampilan Digital: Pengaruh Kompetensi Digital terhadap Minat Bisnis Online Andriansyah, Andriansyah; Ernawati, Ernawati; Herman, Herman; Budi Rahayu, Pramudita
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5850

Abstract

The importance of this research lies in the inevitability of today's digital technological advancements, marking a period where prioritizing work efficiency and effectiveness has become essential, giving rise to what is known as the digital age. A large number of younger individuals are captivated by the complexity of technology, often using it solely for recreational purposes. The impact of such behavior stems from the inappropriate utilization of technology, potentially turning the next generation into mere consumers in a consumer-driven society. The younger generation must be more digitally savvy so as to encourage the utilization of digital technology to be more productive in order to foster the seeds of reliable and skilled young business people who are technologically literate. Digital competence is not only understanding the hardware of a technology, but also the software, and it is inseparable. The purpose of this study is to determine the influence between the digital competence of the young generation of Makassar city on online business interest, as well as what factors that are supporting and inhibiting. The method used was through a quantitative approach which was analyzed through validity, reliability, normality, linearity and simple liner regression tests with the help of the SPSS version 24 application. The respondents of this study were 222 teenagers in Makassar City. The results of the study state that there is a significant influence between digital competence on interest in doing business online by 39.3%, and 60.7% is influenced by other factors. The supporting factors for adolescents include the ability to use hardware such as gadgets/smartphones that are high, as well as the ability to search for information online, while the obstacles are the lack of ability to use commerce platforms and the lack of interest to start an online business, moreover reluctant to run it. Other factors that influence interest in doing business online include the availability of the capital, fear of bearing the risk of failure, etc. The limitations in this study are the lack of respondents who filled out questionnaires and still need to be researched on aspects of adolescent psychology.
Pemetaan Strategi Komunikasi Pergerakan Feminis Indonesia di Ruang Digital Wijdan, Syifa; Wijdan, Syifa Maulida; Santoso, Widjajanti; Siscawati, Mia
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5864

Abstract

This research aims to explore the communication strategies of the digital feminist movement in Indonesia in using social media as a space for message propagation. In the digital era, social media has become the main instrument for feminist communities to deconstruct common gender narratives and advocate for issues related to gender equality and women's empowerment. Using the Systematic Literature Review (SLR) approach, this research analyzes several relevant literatures to identify the communication strategies applied by Indonesian feminist communities. The results show that these communication strategies include decentralization of information, increased interactivity with audiences, utilization of social media-specific features such as hashtags and highlights, and the use of multimedia content to increase audience appeal. The findings highlight how social media is becoming an influential tool that enables inclusive and collaborative advocacy in the digital space, with challenges of limited internet access and intergenerational differences in understanding how to operate social media features

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