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Application of Bayes Method To Design A Decision Support System Fof Determining The Status Of Permanent Employees In A Soft Beverage Company Nurhasanah, Nurhasanah; Yuni Dharta, Firdaus; Shu, Efin; Rumianti, Chaerunnisa; Munizu, Musran
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.448

Abstract

The purpose of this study is to learn how to create a decision support system that can help with the process of deciding whether to hire contract workers on a permanent basis. The following methods of gathering data were employed in this study: literature review, interviews, and observation. The system development approach that the author employed to create this program was called rapid application development, or RAD. The decision support system that has been developed for contract employees to become permanent employees can assist and make it easier to see and read the results of contract employee assessments, according to the research results. This is because the system is quantitative and can generate reports that show the total numerical value of each criterion and sub-criteria for candidates for permanent employment. The system that has been developed has the ability to generate a report on contract employee assessments that presents contract employees in order of recommendation. The evaluation procedure and computation results can be accelerated with the use of a decision support system for contract employees who wish to become permanent employees. This way, the choice of whether to graduate or become a permanent employee can be made in less than seven days.
Application of Naive Bayes Classifier Method to Analyze Social Media User Sentiment Towards the Presidential Election Phase Dharta, Firdaus Yuni; Januar Mahardhani, Ardhana; Rachmawati Yahya, Sitti; Dirsa, Andika; M. Usulu, Elvira
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.494

Abstract

This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.
Analysis of The Influence of Communication and Promotion in Digital Social Media on Citizens' Participation in The Election Dharta, Firdaus Yuni; Beddu, Megawati; Salsabillah Putri, Chynika; Malik Ibrahim, Mozart; Hayati, Kumala
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i2.528

Abstract

This research aims to provide conclusive results regarding interaction and discussion, use, and exploitation of social media in the context of general elections in the digital public space. This research involves analyzing all messages published by presidential candidates via social media during the general election campaign. Every day during the campaign, a presidential candidate published a tweet, thereby collecting data. The research results revealed that the general public's ability to participate in substantive political conversations related to the presidential election remains incomplete. The achievement of equality among participants in digital public spaces remains incomplete. Candidates focus more on their political messages and interactions with the media and their own political platforms rather than interacting equally with other users. The role of participants in digital public spaces is very relevant. Although the Internet provides a wealth of information, users tend to be disseminators rather than conducting in-depth analysis. This can hinder the formation of independent opinions and meaningful participation in political discussions. In this context, commercialization and excessive information on the internet can be detrimental to the process of creating a healthy public space. However, in reality, the internet has not been able to effectively overcome complex political challenges. In this context, it is important to develop a more critical understanding of the role of the internet in shaping the digital public sphere. This requires awareness of the challenges and complexities involved, as well as efforts to promote more active and educated participation in the digital public sphere.
Pengaruh Postingan Foto Di Instagram @pesonakuningan terhadap Minat Followers Dalam Mengunjungi Wisata Alam Telaga Biru di Kabupaten Kuningan Fauzi, Egi Nur; Dharta, Firdaus Yuni; Nurkinan, Nurkinan
Da'watuna: Journal of Communication and Islamic Broadcasting Vol 4 No 1 (2024): Da'watuna: Journal of Communication and Islamic Broadcasting
Publisher : Institut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/dawatuna.v4i1.3935

Abstract

Instagram is one of the internet-based social interaction platforms that is widely used by the public to share information, including information about tourism. The purpose of this study is to find out whether Instagram photo posts @pesonakuningan have a significant influence on the interest of visiting followers to Telaga Biru natural tourism. The independent variable used in this study was Instagram posts (X), while the dependent variable was the interest of visiting followers in visiting Telaga Biru natural attractions. This study adopts the theory of uses and effect as the main theoretical framework, and uses quantitative research methods by using questionnaires as data collection instruments. The analysis used in this study is a simple linear regression analysis. The results showed that photo posts on Instagram @pesonakuningan have a significant effect on the kinat of visiting followers to Telaga Biru natural attractions. Keywords: Social Media, Tourist Attraction, Interested Visit
Pengaruh e-WOM Terhadap Minat Beli Produk Kecantikan Balqis, Padmasari; Dharta, Firdaus Yuni; Oxcygentri, Oky
Da'watuna: Journal of Communication and Islamic Broadcasting Vol 4 No 2 (2024): Da'watuna: Journal of Communication and Islamic Broadcasting
Publisher : Institut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/dawatuna.v4i2.4856

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh electronic word of mouth pada akun TikTok @Camillebeauty_Official terhadap minat beli produk melalui survei pada pengikut akun TikTok Camille Beauty. Objek penelitiannya merupakan electronic word of mouth sebagai variabel bebas dan minat beli sebagai variabel terikat. Metode penelitian yang digunakan adalah metode kuantitatif dengan desain survei kepada 100 responden pengguna TikTok yang mengetahui dan mengikuti akun TikTok @Camillebeauty_Official. Kuesioner digunakan untuk mengukur seberapa besar pengaruh electronic word of mouth yang dilakukan akun TikTok Camille Beauty terhadap minat beli.
Pengaruh Rebranding Terhadap Loyalitas Pelanggan Novianty Putri, Risma; Dharta, Firdaus Yuni; Yusup, Eka
Da'watuna: Journal of Communication and Islamic Broadcasting Vol 4 No 2 (2024): Da'watuna: Journal of Communication and Islamic Broadcasting
Publisher : Institut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/dawatuna.v4i2.4902

Abstract

Perusahaan memerlukan strategi pemasaran yang baik untuk bisa mempertahankan produknya agar terus dibeli oleh pelanggan dan menciptakan loyalitas antara pelanggan dan perusahaan. Namun dalam kegiatan pemasaran tidak selalu berjalan dengan baik, terdapat krisis dan masalah yang harus ditangani oleh perusahaan. Selain itu, perusahaan juga bisa mengubah fokusnya jika menganggap pasar dari produknya sudah tidak sesuai lagi, salah satu cara menangani hal tersebut adalah dengan melakukan rebranding. Gojek merupakan salah satu perusahaan yang melakukan rebranding pada 22 Juli 2019 lalu, dengan melakukan perubahan pada layanan dan fokus perusahaan. Dengan adanya rebranding yang dilakukan oleh pihak Gojek, penelitian ini bertujuan untuk melihat apakah terdapat loyalitas pelanggan setelah dilakukannya rebranding. Penelitian ini menggunakan metode kuantitatif dan analisa regresi berganda dengan 79 orang responden yang berasal dari mahasiswa angkatan 2019 Fakultas Ilmu Sosial dan Ilmu Politik di Universitas Singaperbangsa Karawang. Berdasarkan hasil penelitian, didapatkan hasil yaitu terdapat pengaruh yang signifikan dari rebranding yang dilakukan oleh aplikasi Gojek terhadap loyalitas pelanggan.
Multigenerational Workforce Management Strategy in the Digital Era Dharta, Firdaus Yuni; Guilin, Xie; Karliena, Yayuk; Butarbutar, Marisi; Diantoro, Eman
Journal Markcount Finance Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v2i2.1285

Abstract

The growing concern over employee productivity and job satisfaction has led organizations to focus on welfare programs as a strategic tool. In many companies, these programs are designed to enhance employees’ well-being, which is expected to boost productivity and job satisfaction. However, the effectiveness of these programs remains a topic of debate. This research examines employee welfare programs’ impact on productivity and job satisfaction within various organizational settings. The study utilizes a quantitative approach, employing surveys and questionnaires distributed to 200 employees from diverse industries. Data were analyzed using statistical methods, particularly regression analysis, to determine the correlation between the presence of welfare programs and improvements in productivity and job satisfaction. The findings reveal that companies offering comprehensive welfare programs, such as health benefits, flexible working hours, and professional development opportunities, see significant improvements in employee productivity and job satisfaction. Moreover, employees who feel supported by these programs are likelier to exhibit higher organizational engagement and commitment. In conclusion, welfare programs play a crucial role in enhancing not only productivity but also the overall job satisfaction of employees. Organizations are encouraged to invest in such programs as a long-term strategy for workforce development and retention.
PENGELOLAAN KESAN KYAI GUS BAHA SEBAGAI MAKNA PANGGUNG DEPAN DAN PANGGUNG BELAKANG DALAM PENYIARAN DAKWAH ISLAM Firdaus Yuni Dharta; Iswahyu Pranawukir; Mohamad Sudi; Gracia Rachmi Adiarsi; Yanti Setianti
Busyro: Jurnal Dakwah dan Komunikasi Islam Vol. 5 No. 2 (2024): Mei : Busyro : Jurnal Dakwah dan Komunikasi Islam
Publisher : Institut Pesantren Sunan Drajat Lamongan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55352/kpi.v5i1.979

Abstract

This research employs Erving Goffman's dramaturgical theory, which divides social life into front stage and backstage, to analyze the management of Kyai Gus Baha's broadcasts in Islamic preaching. Utilizing a qualitative approach and literature review method, the study examines 50 sermons by Kyai Gus Baha, audience comments, and interviews with individuals close to him. The findings reveal that Kyai Gus Baha uses friendly and easily understandable language in 90% of cases, controlled humor in 60%, references to the Quran and Hadith in 100%, and messages of peace and tolerance in 80% of instances. Additionally, he discusses everyday life in a friendly manner in 70% of cases. Audience reactions indicate appreciation for intelligence and depth of knowledge (40%), kindness and gentleness (30%), humor and emotional connection (20%), and relevance to daily life (10%). Interviews disclose that Kyai Gus Baha's personal life is simple, honest, and aligned with his teachings, acknowledged by respondents (80-100%). In conclusion, Kyai Gus Baha effectively and consistently manages presentations between the front and backstage, thereby enhancing the credibility and effectiveness of his sermons. This study underscores the importance of alignment between teaching and actions in building credibility in Islamic preaching.
Pengaruh Dukungan Selebriti dalam Komunikasi Politik Terhadap Sikap Pemilih pada Pemilihan Presiden 2024 Dharta, Firdaus Yuni
Jurnal Komunikasi Profesional Vol. 8 No. 1 (2024)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jkp.v8i1.8283

Abstract

Celebrity support for presidential candidates has become a common phenomenon in Indonesia. Celebrities with large followings on social media and high popularity can influence public opinion and voter attitudes. The internet and social media allow for political communication by celebrities. This research aims to analyze the influence of celebrity endorsement on voters' attitudes in the 2024 presidential election. This research uses quantitative methods with a survey approach. Data was collected through questionnaires distributed to respondents in Indonesia. The population of this study are voters in the 2024 presidential election. The sampling technique was carried out using random sampling technique. The collected data was analyzed using a regression test using the SPSS program. The research results show that celebrity endorsement can be one of the factors influencing voter attitudes in the 2024 presidential election. Celebrity endorsement can increase a candidate's popularity and influence public perception withpolitical communication of the candidate, especially among young voters, voters who have an emotional attachment to celebrities, and voters who are less have information about the candidate.
Measuring The Role Of Communication, Career Development, Rewarding In Improving HR Perfomance Zulaika, Siti; Dharta, Firdaus Yuni; Dharmawan, Donny; Setyarto, Dwiatmodjo Budi; Setiawan, Roy
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1296

Abstract

The purpose of this study is to examine and evaluate how PT BPRS Dinar Ashri KC workers' performance is impacted by career development, communication, and rewards. Terra. With 35 employees, the sample strategy makes use of a census sampling approach. Data analysis was done with IBM SPSS version 22. The study's findings indicate that incentives, career development, and communication all have a big impact on workers' output. Simultaneously, PT personnel' performance is significantly impacted by career development, incentives, and communication. Dinar Ashri BPRS.
Co-Authors Abdul Rauf Chaerudin Adhy Firdaus Adlan Supadya Ady Triyuliansyah Agus Siswanto Alhuda, Afif Ali, Zara Alika, Vina Ambarwati, Retnoning Amin Budiastuti Ana Fitriana Poerana Andies Muhammad Andriya Risdwiyanto Anisa Salma Febriana Aprilinda, Aprilinda Aqila Surya Pradana Ardhana Januar Mahardhani, Ardhana Arindawati, Weni A. Arindawati, Weni Adityasning Arktik, Fazya Aryani, Lina Aryani, Lina Asegaf, Ridwan Ashari, Alfian Ayalia, Yessica Azis, Muhammad Abdul Azrodiana Azrodiana Balqis, Padmasari BEDDU, MEGAWATI Budiarto, Balla Wahyu Butarbutar, Marisi Cahyati Dwi Muliani Canny Alfianita Priscilla Chaerudin, Chaerudin Dadan Kurniansyah Dana Aswadi Danny Ramdani Deni Koesnaedi Dewi, Nadia Fahira Dian Meilinda Dian Rokhmawati Diantoro, Eman Dinar Andira Pramesti Nur Rafifah Dirsa, Andika Donny Dharmawan Dresta Nugratama Dwi Rizky Aprilianti Dwiyanto, Muhfid Edinur Ilham Eka Yusup Ema Ema Ema ema, ema Emil Syafitri Engkus Kuswarno Erasma, Erasma Evan Prima Garwita Farras Zidan Suppah, Fatan Fathurizal, Rizqi Fauzi, Egi Nur Filda Angellia Flori Mardiani Lubis Gigih Prahastoro Gracia Rachmi Adiarsi Guilin, Xie Hamboer, Maria Jashinta Elisabet Haniwijaya Pahlawansah Hartanti, Puspaningrum Dwi Hartanto Hendry Roris P. Sianturi Herlandi Putra, Irsan Hery Purwosusanto Hidayat, Muhamad Rahmat Indri Karisa Putri Iqlima Nursyadiah Irawan, Silvia Iswahyu Pranawukir Jie, Lie Karliena, Yayuk Khan, Jamil Khoirunnisa, Hasna Kristofer Sahala Tua Butar Butar Kumala Hayati Kurniansyah, Dadan Kusumaningrum, Rastri Lee, Ava Lubis, Fardiah Oktariani Lubis, Flori Mardiani Luh Komang Candra Dewi Lutfiah, Cindy M. Usulu, Elvira Made Panji Teguh Santoso Maheswari, Dita Meisya Mateo Jose A. Vidal Maulana Rifai Mayadasari Maya Mayasari Mayasari Mirvana Alfiyana Moh. Syahri Sauma Mohamad Sudi Mokhamad Arwani Mozart Malik Ibrahim MTSimarmata, Marulam Muhamad Ramdhani Muhammad Ramdani Muhammad Ramdani Muhammad Ramdhan Sampurna Muharam, Muhammad Rizky Mumtaz, Hilmy Musran Munizu Mutiasari Nabillah, Arini Alfi Nina Sulistiyowati Novi Rahayu Novianty Putri, Risma Nunu Nugraha Nurhasanah Nurhasanah Nurkinan Nurkinan nurkinan, nurkinan Nurmanah, Misyella Nursanti, Siti Oktariani Lubis, Fardiah OKY OXCYGENTRI Oky Oxcygentri Oxcygentry, Oky Oxygentri, Oky Prasetyo, Hemi Prasetyono Hendriarto Purnama, Rifki Nugraha Putri Rifiani Putri, Deftiyani Rachmawati Rachmawati Yahya, Sitti Ramdani, Danny Ramdhani, Muhamad Rastri Kusumaningrum Rastri Kusumaningrum Rastri Kusumaningrum Ratih Pratiwi Ratnawita Ratnawita Riesna Apramilda Rini Setiowati RR. Ella Evrita Hestiandari Rukmanah, Rukmanah Rulyenzi Rasyid Rumianti, Chaerunnisa Rut Sheril Margaretha Manurung Salsabila, Delia Salsabillah Putri, Chynika Saputra, Waway Sayed Achmady setiawati, rahmi Setyarto, Dwiatmodjo Budi Sherly Indria Setianty Shu, Efin Simanungkalit, Sintha Sintha Fransiske Simanungkalit Siti Nursanti Siti Nursanti Siti Zulaika Suharto, Sugeng Sulistyo, Nina Syam, Syisea Putri Tan, Ethan Taufik Hidayat Assegaf, M. Gahos Tayo, Yanti Teguh Wahyono Tia Fitri Amelia Tikka Muslimah Tri Susanto Utami, Eva Yuniarti Utiarahman, Nurnaningsih Violin, Vivid Wirabuana Putra, Gede Yanti Setianti Yanti Tayo Yeremia, Michael Yodiansyah, Hefri Yosef Dema Yuanita Setiyastuti Yuanita Setyastuti Yumna, Salsabila Yusup, Eka Zahra Aulia Mumtaz Zaky Ahmad Fadilla Zou, Guijiao