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INDONESIA
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 10 Documents
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Search results for , issue "Vol 7 No 2 (2022): December 2022" : 10 Documents clear
Barriers To Implementation of Industry 4.0 in Indonesia- Case of The Textile and Automotive Industries Setiawan, Sigit; Poerbosisworo, Ishelina Rosaira
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4729

Abstract

For several years, Industry 4.0 has become one of the buzzwords in the industrial world and has expanded to other areas. Industry 4.0 is an industrial revolution that is taking place today, where the internet and information networks use to create a new industrial revolution. Many benefits are expected to come from the application of industry 4.0 in a company/organization, primarily being able to open a highly customized market. Although there are various advantages to the application of industry 4.0 in a company/organization, the effort to implement it is not free from many problems. Likewise in Indonesia, although Industry 4.0 was launched directly by President Jokowi, and was followed by all sectors, the implementation effort still faces obstacles. Because of this, the question arises as to whether industry 4.0 is really needed in Indonesia or not. Therefore, it is worth seeing the effort to implement Industry 4.0 in Indonesia, especially in industries that should be able to implement Industry 4.0 easily. As in Germany, in Indonesia, the automotive manufacturing industry should be able to more easily apply the Industry 4.0 model. This paper discusses that added to the textile industry which should have similar properties. Discussion of the two industrial sectors at the same time has never been done in Indonesia. Meanwhile, one way to identify supporting and inhibiting factors is to use an analytical framework from Jan Stentof. Currently, the use of this analytical framework has not been widely used in Indonesia, particularly in the automotive and textile industries. By using an analytical framework from Jan Stentof to conduct an analysis, it was found that both the automotive and textile industries still have many obstacles to applying industry model 4.0. Many of the problems is related to communication both external and internal. It was also found from interviews, that at all levels there are often misconceptions between industry 3.0 and industry 4.0 models, so the application of industry 4.0 is even more difficult. With this study, we hope that government can adjust its policy to how to implement industry 4.0 in Indonesia. However, with only two sectors being researched, more sectors still need to draw a general conclusion.
The Digital Literacy of Lecturers during the COVID-19 Pandemic Solihin, Muhtar Mochamad
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4803

Abstract

The learning conditions due to the current COVID-19 pandemic require lecturers to have good digital literacy skills. The aims of this study were to: 1) describe the tools and applications used by lecturers in online learning, 2) describe digital literacy of lecturers, and 3) analyze factors related to digital literacy. This research approach uses a quantitative survey method with 49 lecturers at one of the largest Islamic religious campuses in Indonesia. The results of this study indicate that: 1) the tools used by lecturers in online learning during the COVID-19 pandemic consist of internet-connected laptops (63.27 percent), internet-connected smartphone devices (30.61 percent), internet-connected computers (4.08 percent) , and a small percentage (2.04 percent) use internet-connected gadgets or tablets. Applications used by lecturers in learning consist of Zoom (95.92 percent), WhatsApps (89.90 percent), Google Classroom (57.14 percent) and Academic Information System or AIS (55.10 percent). 2) The lecturer's digital literacy level (63.27 percent) is in the moderate category which tends to be high with a score between 94 to 112 (94 ≤ X < 113). 3). The factor that is significantly related to the lecturer's digital literacy level is the respondent's basic income.
Evaluasi Algoritma Klasifikasi dengan Berbagai Metode Seleksi Fitur untuk Mendeteksi Aktivitas Trojan Rijal, Muhammad; Ilham, Amil Ahmad; Paundu, Ady Wahyudi
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4842

Abstract

- Viruses are malicious programs that can be harmful. One of the most dangerous viruses is the trojan virus, where the trojan virus hides on the user's device without being aware of its existence. Trojan viruses can be very difficult to spot because they hide on network devices and disguise themselves as part of the device. However, when a network device is infected by a trojan virus attack, the activities that occur on the network will be different from usual activities. In network activity, there are various parameters that cause classification to take longer to predict. In this study, various comparisons of feature reduction algorithms between Coefficient Correlation, Information Gain, PCA, and LDA were carried out and tested the combination of classification model algorithms (Random Forest, Decision Tree, KNN, Naïve Bayes, AdaBoost) to detect the best trojan activity on the internet network. faster to increase security against trojan viruses. The results of the study show that the classification with maximum accuracy with the best time is obtained by a combination of Coefficient Correlation, Information Gain, and PCA using the Decision Tree classification, using a combination of feature selection and classification methods obtained 99% accuracy and prediction time of 0.0033 seconds.
Tingkat Penerimaan Program Komunikasi Digital ‘Jelajah Virtual’ Monumen Pers Nasional Pada Masa Pandemi Covid-19 Wijaya, Niken; Pawito, Pawito; Rahmanto, Andre Novi
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4870

Abstract

- During the Covid-19 pandemic, there were government regulations calling for the closure of non-essential public services, aiming to reduce the risk of spreading the Covid-19 virus. As a result, the convenience of direct interaction and communication between service workers and the public is disrupted. As a solution, digital-based interaction and communication programs are used to overcome these obstacles. Even so, it was not easy when you first used the program during the early days of the Covid-19 pandemic. Especially for public service officers who are required to provide optimal service to the public. Therefore, this research specifically aims to find out the level of acceptance and use of technology for public service workers (museum guides) in the digital communication program "Virtual Exploration" at the National Press Monument during the Covid-19 pandemic. This research uses the case study method through the Event Structure Analyst (ESA) approach and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. The results of the study show that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit are related to the level of acceptance and use of technology in the National Press Monument's "Virtual Exploration" program during the Covid-19 pandemic. So it can be concluded that the level of acceptance of digital communication is carried out self-taught by adjusting the practice time which is not too long and easy to use and fun after getting used to it.
Detection of the Types of Consumable Saltwater Fish in the Coastal Area of Likupang: Uses the Convolutional Neural Network Method Wikarsa, Liza; Angdresey, Apriandy; Sombouwadil , Ticoalu
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4884

Abstract

In the coastal area of Likupang, many types of saltwater fish can be consumed, such as tuna and skipjack. Yet, there are also types of saltwater fish that cannot be consumed or protected by the government, such as Napoleon fish and sea kingfish. Thus, this research aimed to build a desktop application that can automatically classify consumable and non-consumable saltwater fish species more accurately and promptly using a suitable image recognition method like the Convolutional Neural Network (CNN). CNN has abilities to distinguish images by recognizing several pixels in a two-dimensional image and RGB (Red, Green, Blue) colors which are then converted into a matrix with various values, making it easier for the system to recognize the two-dimensional image. By using 40% test data (143 images) and 60% training data (213 images), test accuracy in identifying and classifying images of consumable fish, non-consumable fish, and non-fish images with each percentage of 94%, 98%, and 95% respectively.    
K Kesiapan TVRI sebagai Penyelenggara Multipleksing: Peluang dan Hambatan Nupikso, Daru; Darmanto, Darmanto; Ardison, Ardison
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4888

Abstract

The policy of migrating from analog television broadcasting systems to digital broadcasting systems resulted in the birth of a new business model with the separation of broadcast operators and multiplexing providers. However, the Television of the Republic of Indonesia (TVRI) has a mandatory task as a broadcast organizer and multiplex operator. This study aims to answer the question, "What are the opportunities and obstacles faced by TVRI as a multiplexing organizer from the aspect of readiness?" The research was conducted using a mixed methods approach, and data collection was carried out through online surveys, document studies, interviews, and participatory action research. The results show that the mandatory task as a multiplexing operator provides a great opportunity for TVRI to obtain a number of financial and non-financial benefits. However, many aspects such as organizational culture, policies, procedures, past experience, organizational structure, and existing HR conditions show performance that is not yet ready to support TVRI's success as a multiplexing operator.
Analisis Bibliometrik Terhadap Pemetaan Riset Social Media Marketing Herlina, Vivi
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4920

Abstract

Social media marketing utilization is an evolving marketing tool rapidly. The objectives of this research are to map research trends of social media marketing on marketing performance and to know research productivity in terms of researchers, publishers, and citations. The bibliometric analysis method by using VOSviewer was used in this research. There were 493 articles from 2000 until 2021 of Google Scholar to be reviewed. The advantage of using Google Scholar as a data source is that it could generate more research than just a specific database. The results showed that most social media marketing research development took SMEs as the object. Whereas most articles were written by Eunju Ko. Network Visualizations showed there were seven clusters. Furthermore, Density Visualization indicates some related research to social media marketing, were medium, firm, social structure, advertising, digital marketing, and measurement. Meanwhile, the rare research consists of consumer behaviour, ROI, digital marketing, performance, the fast fashion industry, and luxury fashion brand. It has a meaning that there is an opportunity for future researchers in this field.
PENGALAMAN LESBIAN DALAM RUANG-RUANG KOMUNIKASI Rustinawati, Yuli
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4926

Abstract

Communication spaces function to recognize themselves, to know each other, to share stories, and to meet partner are very limited for lesbians. Spaces are silenced. There had been efforts to open those spaces by the lesbian community and organizations since the 1990s. However, they also struggled to exist as they come and go, lesbian then joined gay communities that were already present and growing. Assuming it gave them more space and opportunities to grow. However, those spaces were not home for lesbians. Following the 1998's reformation, information became more open and accessible. The internet became a tool for lesbians to create safe online spaces. They started organizing face-to-face meetings and ended their silence. The purpose of this study is to get an overview of the spaces created by lesbian groups to get to know each other and learn from one another. This study uses a qualitative method, internet searching is the method used in collecting research data. The results of this study identified that the existing communication spaces are able to provide the information needed by lesbians and break the silence, but these spaces were not sustainable.  Therefore, there is a great need for safe and sustainable spaces for lesbians to continue to express and share themselves and to be heard.
Implementasi Metode Convolutional Neural Network untuk Mendeteksi Penyakit Pada Citra Daun Tomat Kotta, Chrisno R.; Sumampouw, Michael; Paseru, Debby
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4961

Abstract

Tomato (Lycopersicum esculentum Mill) is one of the leading commodities that has the potential to be a contributor to exports. One of the main causes of decreased production of tomato plants, namely the emergence of various diseases. Plants are said to be affected by disease if there are changes in all or part of the plant organs that cause disruption of daily physiological activities. This study will use deep learning methods and Convolutional Neural Network (CNN) algorithms to determine disease in tomato plants through leaves. The CNN training model will be carried out using the Python and carried out on the Google Colab platform, while the Android-based application development will use Android Studio. Tests have been carried out by implementing various test scenarios, namely testing with image sources from the gallery and image sources directly from the camera. The result is an application that is built quite reliably with an accuracy of testing on images from the gallery of 94% and 80% accuracy for testing using images taken directly from the camera.
Komunikasi Lingkungan pada Pengelolaan Sistem Pertanian Rawa Lebak Icuk Muhammad Sakir; Lestari, Puji
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4962

Abstract

This study aims to analyze the implementation of the selection of environmental communication channels in disseminating information on the Lebak swamp farming system, based on environmental conservation. The object of this research is a communication channel with the research subjects of Agricultural Extension Officers (PPL)/Plant Destruction Organism Controls (POPT) as informants. This research is qualitative with case study analysis. Researchers used depth interviewing techniques, Focus Group Discussion (FGD), observation, document analysis, and data analysis techniques using an interactive model. The results of the study stated that 1) The environmental communication process carried out by PPL/POPT was oriented towards community empowerment by enabling participatory and dialogical communication; 2) Activities to stimulate environmental communication of social movements for environmental preservation involving face-to-face channels and media; and 3) The implementation of the use of effective communication channels in conveying messages about environmental conservation manifested in responding to problems and complaints, supporting empathy and the performance of Gabungan Kelompok Tani (Gapoktan). The study's conclusion states that face-to-face communication channels are more than practical between media communication, primarily to support environmental conservation social movements. This research contributes in the form of a dialogical and participatory environmental communication policy to the extension community and the Agriculture Office of Ogan Ilir Regency, South Sumatra.

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