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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.
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Articles 16 Documents
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Search results for , issue "Vol 9 No 2 (2024): Desember 2024" : 16 Documents clear
Partisipasi Pengguna Internet Indonesia dalam Pemanfaatan LAPOR! sebagai Layanan Pengaduan Publik Muttaqin, Moh; Pusvita, Vita; Pangaribuan, Tristania; Simatupang, Oktolina
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.v9i2.5314

Abstract

The People's Online Aspiration and Complaints Service (LAPOR!) was organized as an effort to increase public participation in government administration. LAPOR! is developing quickly, integrated with many central and regional government agencies; and it is officially designated as a general application for public complaint service in Electronic-Based Government System (SPBE). However, with the support of internet-based digital channels, the dominant access channels for LAPOR! users, it is not yet known how the public will participate in using LAPOR! as a public complaint service in various regions in Indonesia. This research aims to reveal the public participation of internet users according to provinces throughout Indonesia, by measuring the participation ratio as a basis for determining the level of participation in each province. Referring to the average national participation ratio (0.277), the research identified 15 provinces with high participation rates and 19 provinces with low participation rates. Among the provinces with high participation rates, five provinces meet the criteria for dominant participation rates, namely DKI Jakarta, South Kalimantan, Banten, DI Yogyakarta, and Central Kalimantan.
Deteksi Dini Banjir dengan SIMOBI: Integrasi IoT dan Mobile Fernando, Andhika; Yudhatama, Dhimas; Wisnu Murti, Nugroho; Hussein Hamid, Muhammad; ., Adiyanto; Fernando, Erick; Winanti
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.v9i2.5433

Abstract

Tangerang Regency as a city of a thousand industries as well as a buffer for the capital city, is densely populated and often experiences flooding every rainy season. Losses from flood disasters can cause damage and disruption of economic activities and even loss of life. Efforts to minimize losses and loss of life due to flood disasters with early detection tools through the Flood Monitoring Application (SIMOBI). The purpose of creating SIMOBI for early detection of floods so that damage, disruption of economic activities and loss of life can be minimized. This research is a system development to find solutions for early flood detection in Tangerang Regency using the Prototype method and the system results are validated through Black Box Testing. This system is designed using the IoT (Internet of Things) principle which uses an internet network to connect the NodeMCU ESP 8266 microprocessor device with sensor and actuator devices. The NodeMCU ESP 8266 microprocessor to read water level data provided by the Ultrasonic sensor then sends data using the internet to a Smartphone with software that has been created to provide flood indication notifications. In addition to notifications from the Smartphone, a buzzer or siren is used to make a sound if there is an indication of flooding. The system works automatically if the water level exceeds the normal limit at the location and will send a notification via Smartphone and voice. This system is implemented in various flood-prone areas in Tangerang Regency such as Balaraja, Pasar Kemis, Cikupa, Curug, Cisoka, Gunung Kaler, Kelapa Dua, Jayanti, and Jambe.
Pengaruh Komunikasi Menggunakan WhatsApp terhadap Kekompakan Anggota Koperasi Citra Kinaraya di Jawa Tengah Widyastuti, Khoiriyatun; Gayatri, Siwi; Mariyono, Joko
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.v9i2.5434

Abstract

Information and communication technology is advancing rapidly. As technology advances, social media also grows and develops. WhatsApp is one of the most widely used social media. This study aims to analyse the factors that influence the use of WhatsApp social media as a communication medium on the cohesiveness of Citra Kinaraya Cooperative members. The research was conducted in December - January, which took place at the Citra Kinaraya Cooperative, Mlatiharjo, Demak. The research method used was a survey with a quantitative approach. The number of respondents was 95 cooperative members—data collection methods by interview, observation, and literature review. The data analysis used in this study used multiple linear regression analysis. This study shows that members of the Citra Kinaraya cooperative have characteristics: aged 41-60 years, the majority are male, have a high school education level, and the length of membership in the cooperative is 1-4 years. The results showed that frequency, duration, attention, age, and education level simultaneously influenced group cohesiveness. On the use of WhatsApp, as seen from frequency, attention duration, age, and education level, only attention partially affects group cohesiveness
Analisis Klasterisasi Patok Jalan Berbasis Geospasial Menggunakan K-Means dan Evaluasi Davies-Bouldin Dien, Habibie Ed; Ratsanjani, M. Hasyim; Saputra, Agung Adi; Noprianto; Ririd, Ariadi Retno Tri Hayati; Nugraha, Bagas Satya Dian
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.v9i2.5471

Abstract

Geographic Information System (GIS) has become a very important tool for spatial analysis and decision making in various fields. In this paper, the analysis process of grouping Kilometer Hectometer (KM/HM) road milestones use the K-Means method in the context of GIS. The KM/HM road milestones are road equipment made of concrete or signboards equipped with texts containing information about the distance and the name of the city to be traveled by road users. The length of the road that has such a long distance will make it difficult to maintain and to manage the road milestones that are scattered throughout the road. Currently, the process of mapping the location of the road milestones is still being carried out using the conventional method, in which the survey officer records the data on paper and measures it with the vehicle's odometer. However, this method often causes data loss, errors in determining the location, and lacks photographic evidence as a reference for assessing the condition of the road milestones. The role of GIS for survey officers is to map the road milestones and to visualize the road milestone data. The main objective is to gain meaningful insights from the spatial distribution of these road milestones, which will assist in better navigation and infrastructure planning. The K-Means method separates clusters from KM/HM road milestones which are identified based on geographical proximity. To assess the quality of these clusters, the evaluation is conducted using the Davies-Bouldin index (DBI) which provides a quantitative measure of inter-group similarity and within-group dissimilarity. For officers, it can be useful to find location points for the road milestones that have high damage conditions to prioritize to be repaired first. Based on the test results using DBI, it produces a value close to zero, which is equal to 0.1656, indicating that the clusters formed have very good quality.
Dampak Tiktok: Dekoding Pilihan Pembelihan Fashion Pada Generasi Z Melalui Generasi Strategi Media Sosial dan Inovasi Produk Arifin, Zainal; Sukaris, Sukaris; Santoso, Rahmat Agus
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.v9i2.5505

Abstract

This research investigates the impact of TikTok marketing strategies on brand image and purchasing decisions among Generation Z consumers in Indonesia, with a specific focus on the mediating role of product innovation. Utilizing a quantitative approach through an online survey spanning three months, the study collected data from diverse regions without geographical limitations. The sample consisted of 150 Generation Z consumers actively using TikTok and expressing interest in fashion products. Structural Equation Modeling (SEM) analysis using Amos software was employed for data analysis. The results revealed that TikTok marketing strategies significantly influence brand image, supporting Hypothesis 1. Similarly, product innovation has a significant positive effect on brand image, confirming Hypothesis 2. However, TikTok marketing strategies were found not to significantly impact purchasing decisions (Hypothesis 3 rejected), while product innovation significantly influences purchasing decisions among Generation Z consumers (Hypothesis 4 accepted). Additionally, brand image was identified as a significant factor affecting purchasing decisions (Hypothesis 5 accepted). The study concludes that a positive brand image is shaped by effective TikTok marketing and innovative product presentation, influencing the preferences of Generation Z consumers. Despite TikTok marketing's limited impact on purchasing decisions, product innovation plays a crucial role in shaping consumer choices. Practical implications for the fashion industry targeting Generation Z are discussed, emphasizing the need for integrated marketing strategies aligning with innovative product offerings. Recommendations for future research include exploring additional factors and deeper analyses of consumer preferences on the TikTok platform, incorporating demographic and psychographic elements.
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

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