Jurnal Pekommas
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Gegar Budaya Mahasiswa Indonesia dalam Komunikasi Antarbudaya di Luar Negeri
No full textIn this globalization era, everyone in the world has equal opportunities to collaborate and compete globally. As experienced by Indonesian students in overseas countries who are studying abroad. The purpose of this research is to discuss cross-cultural communication including language adaptation, culture shock, and the process of cultural acceptance experienced by these students. This research uses a qualitative method with a phenomenological approach with a semi structured interview with Indonesian students in overseas countries such as Malaysia, Egypt, China, England, Germany, South Korea, and Canada as data collective techniques. The result of this research shows that in the cross-cultural communication process experienced by the students, various kinds of culture shock and obstacles related to language occurred. So, the adaptation process carried out by the informants in this research focused on these two things. In the future research, discussion about culture shock can be developed specifically and deeper, including the causative factors, process, effects, and the solution.Di era globalisasi ini, setiap orang memiliki kesempatan yang sama untuk berkolaborasi dan bersaing secara global. Hal itulah yang dialami oleh para mahasiswa asal Indonesia yang berjuang melaksanakan studi di luar negeri. Penelitian ini bertujuan untuk membahas bagaimana proses komunikasi antar budaya, termasuk adaptasi bahasa, culture shock, dan proses penerimaan budaya yang dialami para mahasiswa tersebut. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomenologi. Data penelitian didapatkan melalui proses wawancara semi struktur kepada mahasiswa asal Indonesia yang tengah melaksanakan studi di luar negeri, yaitu Malaysia, Cina, Inggris, Mesir, Jerman, Korea Selatan, dan Kanada. Hasil penelitian menunjukkan bahwa dalam proses komunikasi antar budaya yang dilakukan para mahasiswa asal Indonesia ini, terjadi berbagai macam culture shock dan kendala-kendala terkait bahasa. Sehingga proses adaptasi yang dilakukan para informan dalam penelitian ini berfokus pada kedua hal tersebut. Penelitian di masa mendatang dapat mengembangkan pembahasan mengenai culture shock lebih spesifik dan mendalam, mulai dari penyebab, proses, efek atau akibat yang dihasilkannya, hingga solusinya
Penerapan Pasal 3 Kode Etik Jurnalistik dalam Berita CNNIndonesia.com: (Studi Kasus Penembakan Wartawan Pada Perang Rusia-Ukraina)
No full textThe war between Russia and Ukraine has received attention from the world\u27s media, including in Indonesia. The purpose of this study was to find out the application of article 3 of the Journalistic Code of Ethics (KEJ) in reporting on the shooting of US journalists in the Russia and Ukraine war. This qualitative research uses a content analysis approach, namely research that has the nature of an in-depth discussion of the contents of written or printed information in the mass media, in this case, two CNNIndonesia.com news. The results of this study show that CNNIndonesia.com has tested the information they receive in the news by confirming it from several different sources. In terms of balance, the news is presented unequally. The news presented does not provide space or time for reporting proportionally to the Russian side. One of the two news headlines analyzed contains elements of judgmental opinion which are the journalist\u27s personal opinion by making assumptions without news sources on these allegations. In terms of the principle of presumption of innocence, CNNIndonesia.com used the word ‘allegedly’ in the first news story about the perpetrators of the shooting of journalists in the Russia-Ukraine war. The use of these words prevents the news from being judged by the media (trial by the press)Perang antara Rusia dan Ukraina telah mendapat perhatian media massa di dunia, tak terkecuali di Indonesia. Tujuan penelitian ini adalah untuk mengetahui penerapan Pasal 3 Kode Etik Jurnalistik (KEJ) dalam pemberitaan penembakkan wartawan Amerika Serikat dalam perang Rusia dan Ukraina. Penelitian kualitatif ini menggunakan pendekatan content analysis (analisis konten), yaitu penelitian yang memiliki sifat pembahasan yang mendalam atas isi suatu informasi tertulis atau tercetak dalam media massa, dalam hal ini dua berita CNNIndonesia.com. Hasil penelitian menunjukkan, bahwa CNNIndonesia.com telah menguji informasi yang mereka terima dalam pemberitaan dengan cara mengonfirmasi dari beberapa sumber berbeda. Dalam hal keberimbangan, berita disajikan secara tidak berimbang. Berita yang disajikan tidak memberikan ruang atau waktu pemberitaan secara proporsional kepada pihak Rusia. Satu dari dua judul berita yang dianalisis mengandung unsur opini yang menghakimi dan merupakan pendapat pribadi wartawan dengan melakukan dugaan tanpa sumber berita atas dugaan tersebut. Dalam hal asas praduga tak bersalah, pada berita pertama, CNNIndonesia.com menggunakan kata ‘diduga’ atas pelaku penembakan wartawan dalam perang Rusia-Ukraina. Penggunaan kata tersebut untuk menghindarkan berita tersebut dari delik menghakimi oleh media (trial by the press
Pemodelan Analisis Gap dan Kebijakan Green IT: Systematic Literature Review Menggunakan PRISMA
No full textGreen IT Management, which aims to save energy in the business process ecosystem, is rarely used in the field of information technology. Because there is still little research and empirically, the application of Green IT is still in the modeling framework or local policies set stage, so not all companies are willing and able to do it. Because there is a gap between theory development and theory implementation, the right research direction is required so that the Green IT policy can be updated with the most recent conditions and accurately adopted. As a result of this situation, research questions must be addressed, such as whether the research gap from Green IT from its inception to 2022 exists, and whether the current Green IT policy modeling research direction can lead to implementation research. Using the PRISMA method as a guideline for conducting systematic literature reviews on the 200 most cited articles in the Scopus database, Google Scholar, and Semantic Scholar. In the final stage, 20 articles with conceptual discussions, 12 articles with empirical research, and 10 articles with policy implementation discussions were discovered. Based on the findings of the SLR study, it is possible to conclude that the first, the research gap, remains in the implementation section. Next, modeling and policy have not resulted in comprehensive implementation. Green IT research is still in its early stages, despite its steady progression over the last ten years. Empirically, not all companies are willing or able to implement because experimental research is still relatively limited in comparison to policy modeling research. According to this explanation, there is a gap between the implementation and development of theories or policy frameworks within the context of Green IT.Green IT Management yang bertujuan untuk menghemat energi dalam ekosistem proses bisnis, jarang digunakan di bidang teknologi informasi. Karena masih sedikit penelitian dan secara empiris, penerapan Green IT masih dalam kerangka pemodelan atau tahapan kebijakan daerah, sehingga tidak semua perusahaan mau dan mampu melakukannya. Karena terdapat kesenjangan antara pengembangan teori dan implementasi teori, maka diperlukan arah penelitian yang tepat agar kebijakan Green IT dapat diperbarui dengan kondisi terkini dan diadopsi secara akurat. Sebagai akibat dari situasi ini, pertanyaan penelitian harus ditangani, seperti apakah kesenjangan penelitian dari Green IT dari awal hingga 2022 ada, dan apakah arah penelitian pemodelan kebijakan TI Hijau saat ini dapat mengarah pada penelitian implementasi. Menggunakan metode PRISMA sebagai pedoman untuk melakukan tinjauan pustaka sistematis pada 200 artikel yang paling banyak dikutip dalam database Scopus, Google Scholar, dan Semantic Scholar. Pada tahap akhir, ditemukan 20 artikel dengan pembahasan konseptual, 12 artikel dengan penelitian empiris, dan 10 artikel dengan pembahasan implementasi kebijakan. Berdasarkan temuan studi SLR, dimungkinkan untuk menyimpulkan bahwa yang pertama, kesenjangan penelitian, tetap berada di bagian implementasi. Selanjutnya, pemodelan dan kebijakan belum menghasilkan implementasi yang komprehensif. Penelitian TI hijau masih dalam tahap awal, meskipun perkembangannya stabil selama sepuluh tahun terakhir. Secara empiris, tidak semua perusahaan mau atau mampu mengimplementasikan karena penelitian eksperimental masih relatif terbatas dibandingkan dengan penelitian pemodelan kebijakan. Menurut penjelasan ini, terdapat kesenjangan antara implementasi dan pengembangan teori atau kerangka kebijakan dalam konteks Green IT. 
Hegemonic Discourse dan Hegemonic Actor Potensi Konflik Sosial Menjelang Pemilihan Presiden
No full textThis study aims to explore how hegemonic discourse is related to the potential for social conflict in virtual space ahead of the 2024 presidential election and find out how the hegemonic actors are involved. This research is a qualitative research analysis of Laclau & Mouffe\u27s discourse with data collection methods through web crawlers and SNA. This study found that; First, the hegemonic discourse on the potential for social conflict ahead of the presidential election is divided into two, namely (1) the potential for SARA conflict and (2) the potential for political conflict. SARA conflict refers to the potential for ethnic and religious conflict. The potential for political conflict that occurs in virtual space is found in the three presidential candidates, namely Anies, Ganjar and Prabowo. Second, Hegemonic Actors in the discourse ahead of the presidential election are dominated by non-state actors or intellectual actors and buzzers who are connected to a network of fellow supporters, and not from state actors and online news. Apart from the Hegemonic Actor, the contestation of actors in the presidential election discourse is divided into four main actor clusters, namely the Anies Baswedan, Erick Thohir, Ganjar Pranowo, and online news clusters.Pemilihan presiden menjadi ajang kontestasi 5 tahunan yang sering menyisakan konflik sosial. Penelitian ini bertujuan untuk mendalami bagaimana hegemonic discourse yang berkaitan dengan potensi konflik sosial dalam ruang virtual menjelang pemilihan presiden 2024 serta mengetahui bagaimana actor hegemonic yang terlibat. Penelitian ini merupakan penelitian kualitatif analisis diskursus Laclau & Mouffe dengan metode pengumpulan data melalui web crawler dan SNA (Social Network Analysis). Penelitian ini menemukan bahwa; Pertama, hegemonic discourse potensi konflik sosial menjelang pemilihan presiden terbagi menjadi dua yaitu (1) diskursus potensi konflik SARA dan (2) diskursus potensi konflik politik. Konflik SARA merujuk pada potensi konflik suku dan agama. Potensi konflik politik yang terjadi di ruang virtual ditemukan pada ketiga kandidat bakal calon presiden yaitu Anies Baswedan, Ganjar Pranowo dan Prabowo Subianto. Potensi konflik politik lainnya yaitu konflik politik yang berisi penolakan-penolakan dari ketiga bakal calon presiden. Kedua, Hegemonic Actor dalam diskursus menjelang pemilihan presiden didominasi oleh non state actor atau aktor-aktor intelektual dan buzzer yang terhubung dengan jaringan sesama pendukung, dan bukan berasal dari state actor dan online news (industri media online). Selain Actor Hegemonic, kontestasi aktor-aktor pada diskursus pemilihan presiden terbagi dalam empat kluster aktor utama, yakni kluster pendukung Anies Baswedan, Erick Thohir, Ganjar Pranowo, dan online news
Barriers To Implementation of Industry 4.0 in Indonesia- Case of The Textile and Automotive Industries
Full text linkFor 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
PENGALAMAN LESBIAN DALAM RUANG-RUANG KOMUNIKASI
Full text linkCommunication 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\u27s 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.Ruang-ruang komunikasi seperti mengenali diri, mengenal satu sama lain, berbagi cerita bahkan mendapatkan pasangan dirasa sangat terbatas bagi perempuan lesbian, ada ruang kebisuan. Ruang-ruang kebisuan coba untuk dibuka, ruang komunikasi disajikan oleh organisasi atau kelompok-kelompok lesbian yang hadir sejak tahun 1990 yang secara bergantian hilang dan tumbuh. Organisasi / kelompok-kelompok trangender perempuan (transpuan) yang hadir lebih awal yaitu di akhir tahun 1960an dan organisasi/ kelompok-kelompok gay hadir di tahun 1990an yang mendapatkan ruang dan kesempatan untuk berkembang lebih banyak dari pada lesbian dirasa tidak mampu menjadi rumah bagi kelompok lesbian. Paska reformasi dimana informasi terbuka lebar termasuk internet kemudian membawa angin baru bagi perempuan lesbian untuk menciptakan ruang-ruang aman, ruang mengakhiri kebisuan. Kadang ruang ini pun dilanjutkan dengan perjumpaan tatap muka. Tulisan ini menyajikan pengalaman lesbian atas ruang-ruang komunikasi virtual dengan menggunakan metode penelusuran pengalaman perempuan serta mendeskripsikan ruang-ruang tersebut. Hasil tulisaan ini menunjukan bahwa ruang-ruang komunikasi yang ada pada saat itu tidak dapat bertahan lebih lama, tidak berkelanjutan. Karena itulah sangat dibutuhkan ruang-ruang aman dan berkelanjutan bagi lesbian untuk terus dapat berekspresi, berbagi, dan untuk terus bisa didenga
Implementasi Metode Convolutional Neural Network untuk Mendeteksi Penyakit Pada Citra Daun Tomat
Full text linkTomato (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.Tanaman tomat (Lycopersicum esculentum Mill) merupakan salah satu komoditas sayuran yang berpotensi multiguna dan menjadi penyumbang ekspor. Salah satu penyebab utama penurunan hasil produksi dari tanaman tomat, yaitu munculnya berbagai macam penyakit. Tanaman dikatakan terkena penyakit jika ada perubahan pada seluruh atau sebagian organ tanaman yang menyebabkan terganggunya kegiatan fisiologis sehari-hari. Penelitian ini akan menggunakan metode deep learning dan algoritma Convolutional Neural Network (CNN) untuk melakukan identifikasi penyakit pada tanaman tomat melalui daun. Pelatihan model CNN akan dilakukan menggunakan menggunakan bahasa pemograman Python dan dilakukan pada platform Google Colab, sedangkan pembangunan aplikasi berbasis android menggunkan Android Studio. Pengujian telah dilakukan dengan mengimplementasikan berbagai skenario uji, yaitu pengujian dengan sumber gambar dari galeri dan sumber gambar langsung dari kamera. Hasilnya adalah aplikasi yang dibangun cukup reliabel dengan akurasi uji pada gambar dari galeri sebesar 94% dan 80% akurasi untuk pengujian menggunakan gambar diambil langsung dari kamera
Detection of the Types of Consumable Saltwater Fish in the Coastal Area of Likupang: Uses the Convolutional Neural Network Method
Full text linkIn 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.
Di perairan Likupang terdapat banyak jenis ikan air asin yang bisa dikonsumsi, seperti tuna dan cakalang. Namun, ada juga jenis ikan air asin yang tidak boleh dikonsumsi atau dilindungi oleh pemerintah, seperti ikan napoleon dan kingfish laut. Oleh karena itu, pengklasifikasian jenis ikan air asin yang boleh dikonsumsi, ikan tidak boleh dikonsumsi, atau ikan dilindungi di perairan Likupang merupakan pekerjaan yang membutuhkan pengetahuan dan waktu yang lama. Mengetahui banyaknya jenis ikan air asin yang tidak dapat dengan cepat dibedakan antara ikan yang dapat dimakan dan tidak dapat dikonsumsi, maka perlu adanya pendekatan digital untuk mengidentifikasi jenis ikan air asin dengan cepat dan mudah. Metode Convolutional Neural Network (CNN) dapat digunakan untuk membedakan citra dengan mengenali beberapa piksel pada citra dua dimensi dan warna RGB (Merah, Hijau, Biru) yang kemudian diubah menjadi matriks dengan berbagai nilai sehingga menjadikannya memudahkan sistem untuk mengenali gambar dua dimensi. Dengan menggunakan data uji 40% (143 citra) dan 60% data latih (213 citra), penelitian ini memperoleh uji akurasi dalam mengidentifikasi dan mengklasifikasi citra ikan yang dapat dikonsumsi, ikan yang tidak bisa dikonsumsi, dan gambar bukan fish dengan persentase masing-masing sebesar 94%, 98%, dan 95%. 
Tingkat Penerimaan Program Komunikasi Digital ‘Jelajah Virtual’ Monumen Pers Nasional Pada Masa Pandemi Covid-19
Full text link- 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\u27s "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.Abstrak - Pada masa awal pandemi covid-19, pemberlakuan aturan Pembatasan Sosial Berskala Besar (PSBB) dimulai pertengahan Maret 2020, salah satunya mengatur penutupan layanan non-essential termasuk layanan publik pada Monumen Pers Nasional. Kenyamanan interaksi dan komunikasi terganggu karena terputusnya komunikasi langsung dengan pengunjung (publik), termasuk pemanduan museum secara langsung. Tujuan penelitian untuk memberikan pemahaman tentang adopsi komunikasi digital di masa pandemi covid-19 terkhusus mengenai adaptasi penggunaan dan penerimaan teknologi komunikasi Jelajah Virtual di Monumen Pers Nasional. Penelitian ini menggunakan teori model Unified theory of Acceptance and Use of Technology 2 (UTAUT2) dengan metode penelitian kualitatif interpretif. Temuan hasil penelitian menunjukkan bahwa Performance Expectancy, Effort Expectancy, Social Influence, Fasilitating Conditions, Hedonis Motivation, Price Value, Habit berkaitan dengan niat penggunaan dan penerimaan dalam adopsi komunikasi digital monumen pers nasional di masa pandemi covid-19. Secara singkat dapat disimpulkan bahwa adopsi komunikasi digital dilakukan dengan adaptasi secara otodidak dengan waktu adaptasi dan penyesuaian yang tidak terlalu lama serta mudah digunakan dan menyenangkan setelah terbiasa
Harnessing Technology Acceptance Model (TAM) on Information System to Safeguard Accelerated Data Collecting and Processing Amid COVID-19 Pandemic
Full text linkCOVID-19 has penetrated every aspect of human civilization. BPS-Statistics Indonesia, a government institute responsible for conducting statistical surveys across the country, also faces challenges in the aftermath. COVID-19 forces social distancing, preventing data collectors from meeting the respondents in person and collecting data offline. The data collecting that uses printed questionnaires and the centralized data processing in BPS Headquarters Office causes delays in the whole process. The issue needs to be resolved using a reliable system that can fasten the entire procedure without printed questionnaires, decreasing person-to-person contact and decentralizing the data processing to users\u27 ends. This research proposes and evaluates SIDUBES, an information system BPS-Statistics of Bengkulu Province, to collect data on large and medium manufacturing surveys by harnessing the Technology Acceptance Model (TAM). The model evaluates users\u27 perception of Perceived Usability (P.U.), Perceived Helpfulness (P.H.), Perceived Assurance (P.A.), Viewpoint of Using (V.U.), and Continuity Intention (CI) in measuring the acceptance level. The results show that SIDUBES have met most of the users\u27 requirements; V.U. and P.H. have a positive effect on CI; P.U. has a positive impact on P.A., and; P.A. has a positive effect on P.H