Abstract:Abstract: There are a great number of academics that are now conducting research on sentiment analysis by employing supervised and machine learning techniques. The research can be carried out with the assistance of a variety…
iety of sources, including reviews of movies, reviews of Twitter, reviews of online products, blogs, discussion forums, and other social networks. With the progress of technology, individuals may now effortlessly utilize social media platforms to access and share information, as well as express their viewpoints to the general public, without any constraints of distance or time. Twitter is a social media network that serves as a repository for opinions. Diverse techniques are employed to provide optimal and realistically precise pressure detection. The analysis and discussion affirm that the Support Vector Machine (SVM) was effectively employed in this study, utilizing public opinion data on television program reviews in Indonesia. An SVM classifier is employed to examine the Twitter data set by utilizing various parameters. The study successfully completed the preprocessing process by collecting a total of 400 data points, consisting of 320 reviews from 4 television shows for training data and 80 reviews for testing. The data was filtered and classified using SVM, with 200 positive and 200 negative data points for comparison. The experiment utilized the SVM method using TF-IDF to achieve the most accurate test results. The test accuracy was 80%, while the training data accuracy reached 100%.
Keywords: Sentiment Analysis; Support Vector Machine; Television Shows Review, TF-IDF,
Abstrak: Saat ini, banyak akademisi sedang menyelidiki analisis sentimen melalui pemanfaatan teknik yang diawasi dan pembelajaran mesin. Kajian dapat dilakukan dengan menggunakan beberapa sumber seperti review film, review Twitter, review produk online, blog, forum diskusi, atau jejaring sosial lainnya. Dengan kemajuan teknologi, masyarakat kini dapat dengan mudah memanfaatkan platform media sosial untuk mengakses dan berbagi informasi, serta menyampaikan pandangan mereka kepada masyarakat umum, tanpa batasan jarak dan waktu. Twitter adalah jaringan media sosial yang berfungsi sebagai gudang opini. Beragam teknik digunakan untuk menghasilkan deteksi tekanan yang optimal dan presisi secara realistis. Analisis dan pembahasan menegaskan bahwa Support Vector Machine (SVM) efektif digunakan dalam penelitian ini, memanfaatkan data opini publik tentang review program televisi di Indonesia. Pengklasifikasi SVM digunakan untuk memeriksa kumpulan data Twitter dengan memanfaatkan berbagai parameter. Penelitian berhasil menyelesaikan proses preprocessing dengan mengumpulkan total 400 titik data yang terdiri dari 320 review dari 4 acara televisi untuk data pelatihan dan 80 review untuk pengujian. Data disaring dan diklasifikasikan menggunakan SVM, dengan 200 titik data positif dan 200 titik data negatif sebagai perbandingan. Percobaan ini menggunakan metode SVM dengan menggunakan TF-IDF untuk mencapai hasil pengujian yang paling akurat. Akurasi pengujiannya mencapai 80%, sedangkan akurasi data pelatihan mencapai 100%.
Kata kunci: Analisis Sentimen, Review Tayangan Televisi, TF-IDF, Support Vector Machine
Abstract:Abstract: Twitter, as a social media platform, has rapidly grown as a means for people to express their opinions and thoughts on various topics, including education. The number of Twitter users surged to 10.645.000 in 2020,…
20, with a significant increase during the pandemic. Telkom University, as a private institution of higher education in Indonesia, has become one of the topics of discussion on Twitter. Users’ opinions about Telkom University vary, ranging from positive to negative. To gain deeper insights into public view, sentiment analysis is essential. The analysis follows the Knowledge Discovery in Databases (KDD) process, utilizing the Naive Bayes classification algorithm. The evaluation results indicate the best accuracy achieved with an 80:20 data split, resulting in an accuracy rate of 82.05%, precision of 82.3%, recall of 82.05%, and F1-Score of 82.08%. The Naïve Bayes model demonstrates good performance for sentiment analysis of public views regarding Telkom University on Twitter.
Keywords: naïve bayes; sentiment analysis; twitter; telkom university.
Abstrak: Media sosial Twitter berkembang pesat sebagai sarana masyarakat berekspresi untuk menuangkan opini dan pikiran mereka mengenai topik apapun, termasuk pendidikan. Pengguna Twitter meningkat tajam hingga 10.645.00 pengguna pada tahun 2020 dan terus meningkat selama pandemi. Telkom University sebagai perguruan tinggi menjadi salah satu topik yang dibicarakan yang berkaitan dengan pendidikan. Pendapat mengenai Telkom University yang diungkapkan oleh pengguna Twitter beragam, baik positif maupun negatif. Analisis sentimen diperlukan untuk memahami pandangan publik lebih mendalam. Digunakan tahapan Knowledge Discovery in Databases dan algoritma klasifikasi Naïve Bayes dalam analisis ini. Hasil evaluasi menunjukkan akurasi paling baik dicapai dengan rasio data 80:20, dengan nilai akurasi sebesar 82.05%, nilai presisi sebesar 82.3%, nilai recall sebesar 82.05%, dan nilai F1-Score sebesar 82.08%. Model klasifikasi Naïve Bayes memiliki performa baik untuk analisis sentimen pandangan publik di Twitter mengenai Telkom University.
Kata kunci: analisis sentimen; naïve bayes; twitter; telkom university.
Abstract:Abstract: Providing services to patients is an obligation that must be carried out by health agencies. Of course, good health services can be measured by the performance of medical personnel. The current problem with the…
Aek Loba Health Center is that it does not have a system that can measure the level of patient satisfaction with the services provided. In addition, patients also still have difficulty in expressing opinions in the form of complaints about the performance of medical personnel. The aim of the research is to become a forum for assessing the quality of service that can make it easier for patients to submit complaints and also as a measuring tool for health agencies on the level of success of the quality of services provided. This study uses the Service Quality method by assessing service quality based on 5 quality dimensions, namely Tangibles, Responsiveness, Reliability, Assurance, and Empathy. Based on these problems, a decision support system was designed using the PHP programming language and the database used, namely MySQL. So that this research resulted in this system being able to help and facilitate the Aek Loba Health Center in accommodating and measuring the level of quality of service to patients. In addition, this system can make it easy for leaders to find out the elements that need to be improved, maintained, and repaired by the Aek Loba Health Center.
Keywords: patient; questionaire; service quality
Abstrak: Memberi pelayanan kepada pasien merupakan kewajiban yang harus dilakukan oleh instansi kesehatan. Pelayanan kesehatan yang baik tentu saja dapat diukur dari kinerja tenaga medisnya. Permasalahan Puskesmas Aek Loba saat ini yaitu belum mempunyai sistem yang dapat mengukur tingkat kepuasan pasien terhadap layanan yang diberikan. Selain itu, pasien juga masih kesulitan dalam menyampaikan pendapat berupa keluhan terhadap kinerja tenaga medis. Tujuan penelitian untuk menjadi wadah penilaian kualitas pelayanan yang dapat memudahkan pasien dalam menyampaikan keluhan dan juga sebagai alat ukur instansi kesehatan terhadap tingkat keberhasilan kualitas pelayanan yang diberikan. Penelitian ini menggunakan metode Service Quality dengan menilai kualitas pelayanan berdasarkan 5 dimensi kualitas, yaitu Bukti Nyata (tangibles), Ketanggapan (responsiveness), Kehandalan (reliability), Jaminan (assurance), dan Empati (emphaty). Berdasarkan permasalah tersebut maka dirancang sebuah sistem pendukung keputusan menggunakan bahasa pemrograman PHP dan database yang digunakan yaitu MySQL. Sehingga penelitian ini menghasilkan sistem ini dapat membantu dan mempermudah pihak Puskesmas Aek Loba dalam menampung dan mengukur tingkat kualitas pelayanan terhadap pasien. Selain itu, sistem ini dapat memberi kemudahan bagi pimpinan untuk mengetahui unsur-unsur yang perlu ditingkatkan, dipertahankan, serta diperbaiki oleh Puskesmas Aek Loba.
Kata kunci: kuesioner; pasien; service quality
Abstract:Abstract: Technology is growing rapidly and has become one of the human needs that must be owned to solve the problems being faced. The development of touchless input devices or hand gesture recognition using a camera is…
a form of machine learning. Gestures can define as physical movements of the hands, arms, or body as expressive messages, besides that this hand gesture system can explain the contents of commands that have meaning. In this research, a virtual mouse system will be developed using hand gesture recognition based on the hand landmark model for pointing devices. The resulting application can be run on a desktop device using a webcam. The results of the tests carried out to analyze the implementation of the hand landmark model into the system show that the average system accuracy reaches 96% and the speed reaches 0.05 seconds.
Keywords: hand gesture recognition, hand landmark models, machine learning, virtual mouse
Abstract: Teknologi semakin pesat dan sudah menjadi salah satu kebutuhan manusia yang harus dimiliki untuk menyelesaikan permasalahan yang sedang dihadapi. Perkembangan piranti masukan tanpa sentuhan atau hand gesture recognition menggunakan kamera adalah salah satu bentuk dari machine learning. Gestur mampu mendefinisikan sebagai gerakan fisik dari tangan, lengan, maupun badan sebagai pesan yang ekspresif, selain itu sistem gestur tangan ini mampu menjelaskan isi perintah yang memiliki arti. Dalam penelitian ini akan dikembangkan sebuah sistem virtual mouse menggunakan hand gesture recognition berbasis hand landmark model untuk pointing device. Aplikasi yang dihasilkan dapat dijalankan pada perangkat desktop dengan menggunakan webcam. Hasil dari pengujian yang dilakukan untuk menganalisa penerapan hand landmark model kedalam sistem menunjukkan rata-rata akurasi sistem mencapai 96% dan kecepatan mencapai 0.05 second.
Keywords: hand gesture recognition, hand landmark models, machine learning, virtual mouse
Abstract:Abstract: Payroll is an acceptance in return from the employer to the employee for a job or service that has been done and is expressed or valued in the form of money determined on the basis of an agreement or legislation…
n and is paid on the basis of an employment agreement between the employer and the employee including benefits, both for the employees themselves and for the family. This research takes place at PT. Astro Niaga Jaya. The payroll process at PT. Astro Niaga Jaya is still conventional. Salary calculations are based on different details that hinder the performance process of the human resources department. Errors in calculating salaries can be fatal because it will affect the preparation of financial statements. Therefore, it is necessary to have an employee payroll information system so that the human resources department is not wrong in collecting employee payroll data. The purpose of this paper is to design employee attendance and payroll information systems at PT. Astro Niaga Jaya using Waterfall method in order to produce information that is fast, precise and accurate. The Waterfall method is often used in designing an information system. Payroll Information System can work effectively and efficiently.
Keywords: payroll, information, system
Abstract:Hadis tentang menangisi mayit khususnya riwayat Abdullah bin Umar, termasuk hadis yang mendapat perhatian khusus dalam khazanah studi hadis karena memuat keterangan bahwa mayit mengalami siksa akibat tangisan keluarganya,…
, suatu persoalan yang kemudian memunculkan beragam interpretasi dan perdebatan di kalangan ulama. Riwayat ini menimbulkan perdebatan di kalangan ulama, terutama karena mendapat sanggahan dari Aisyah yang menilai pemahaman tersebut tidak sejalan dengan prinsip Al-Qur’an yang menegaskan bahwa seseorang tidak akan memikul dosa orang lain. Perbedaan periwayatan antara Abdullah bin Umar dan Aisyah menunjukkan adanya dinamika dalam transmisi hadis yang memerlukan kajian kritis terhadap sanad, matan, serta konteks penyampaian hadis. Berangkat dari persoalan tersebut, penelitian ini bertujuan untuk mengkaji makna hadis tersebut melalui pendekatan ilmu hadis dan analisis terhadap penafsiran para ulama. Metode yang digunakan adalah kajian kepustakaan dengan menelaah hadis-hadis terkait beserta syarah para ulama. Hasil kajian menunjukkan bahwa yang dimaksud dalam hadis bukanlah tangisan biasa, melainkan ratapan berlebihan (niyāhah) yang disertai keluhan, penyesalan terhadap takdir Allah Swt., atau kebiasaan yang dahulu diperintahkan maupun diridhai oleh mayit semasa hidupnya. Adapun tangisan yang bersifat wajar karena rasa sedih tidaklah dilarang dalam Islam, bahkan Nabi Muhammad Saw. sendiri pernah menangis ketika kehilangan orang-orang tercinta. Dengan demikian, hadis tersebut harus dipahami secara kontekstual agar tidak menimbulkan kesalahpahaman terhadap ajaran Islam tentang rahmat, keadilan, dan sikap menghadapi musibah kematian.
This research employs a library research approach by examining the relevant hadith narrations along with their commentaries (syarah) by classical scholars. The findings indicate that the hadith does not refer to ordinary weeping but rather to excessive lamentation (niyāḥah), characterized by expressions of complaint, objection to Allah's decree, or practices that were encouraged, approved, or tolerated by the deceased during their lifetime. In contrast, natural weeping as an expression of grief is not prohibited in Islam. Indeed, the Prophet Muhammad (peace be upon him) himself wept upon the loss of his loved ones. Therefore, this hadith should be understood contextually to avoid misconceptions regarding Islamic teachings on divine mercy, justice, and the proper response to the calamity of death.
Abstract:Nasi tutug oncom is a traditional Sundanese dish, which is not only a food but also reflects the rich culture and life of the Sundanese people. The purpose of this study examines the uniqueness of nasi tutug oncom and how…
w this dish acts as a tool to express the values, identity, and social dynamics of Sundanese society that continues to evolve in the midst of globalization. The method used is descriptive qualitative method with data acquisition through literature study, interviews with culinary experts and the community, and analysis of how tutug oncom rice is presented in various media, this research tries to reveal the deep meaning behind tutug oncom rice. The research sample is tutug oncom rice. The results show that nasi tutug oncom is more than just food; it symbolizes the hospitality, local wisdom and food security of the Sundanese people. The process of making it, serving it, and eating it, is full of meanings that reflect the values of mutual cooperation, simplicity, and respect for nature. In this era of globalization, nasi tutug oncom faces both challenges and opportunities. On the one hand, this dish can become an Indonesian culinary icon that can be recognized worldwide. However, on the other hand, nasi tutug oncom is vulnerable to changes that can eliminate its uniqueness and original characteristics. This research suggests the importance of preserving and developing nasi tutug oncom without sacrificing its cultural and philosophical significance. Overall, this research shows that food is not just a daily necessity. Through nasi tutug oncom, we can see that food has deep social and cultural aspects, which are important for preserving local cultural diversity.
Abstract:This article examines the views of classical and modern scholars on what is related to jilbab. It's a matter of culture. That's more of a moral expression. Nevertheless, this expression invites other meanings that need to…
o be associated according to necessity. This need may be hard to guess, so whatever it means is hidden behind the text. (the hidden texts). Thus, it is perfectly logical that the jellyfish are categorized in the sphere of culture. However, not a few scholars have viewed the figs in the colors of the sacrament, and these sacred values have been regulated according to normative principles. This article will show the diversity of the views of classical and contemporary scholars in understanding the Qur'an as the texts of the Islamic source law relating to the jilbab.
Abstract:The important role of freedom of expression as a basis for equality, especially within the framework of constitutional law, is very important in Indonesia. This research uses normative juridical qualitative methods to obtain…
tain a comprehensive understanding of the legal aspects that regulate freedom of expression in the country. Recognized as an essential human right, freedom of expression is explicitly protected by the 1945 Constitution of the Republic of Indonesia. The focus of this research is to examine the legal norms governing freedom of expression, which include provisions such as Article 28E paragraph (3) and Article 19 of the Constitution 1945, as well as other statutory regulations. The research results show that freedom of expression is recognized as an inalienable right by the state and is one of the foundations for the realization of a just and democratic society. Although freedom of expression is guaranteed by the constitution, this research also highlights the obstacles and challenges in its implementation. In Indonesia, challenges arise in navigating diverse interpretations of freedom of expression, with concerns about potential exploitation by entities harming public interest. Striking a balance between freedom of expression and societal stability/security is deemed crucial. The research aims to better understand the complexity of freedom of expression within the country's constitutional law and its role in promoting equality. This research aims to find useful insights for creating better policies. These policies should strike a good balance between individual freedom and public interest, ultimately fostering a fair and democratic society.
Abstract:Pematang Johar, sebuah desa yang berkembang pesat di Kecamatan Labuhan Deli, Kabupaten Deli Serdang, Sumatera Utara, menghadapi tekanan lingkungan yang meningkat akibat alih fungsi lahan, berkurangnya ruang terbuka hijau,…
, dan genangan air yang berulang pada musim hujan. Kegiatan pengabdian ini bertujuan memperkenalkan revitalisasi infrastruktur hijau sebagai solusi inovatif untuk memperkuat ketahanan lingkungan di tingkat lingkungan permukiman. Metode yang digunakan meliputi tahap persiapan, koordinasi dengan aparat desa, sosialisasi partisipatif, demonstrasi praktis pembuatan lubang resapan biopori, sumur resapan, dan taman hujan, serta evaluasi melalui instrumen pretest-posttest. Kegiatan diikuti oleh 42 peserta yang terdiri dari perangkat desa, anggota karang taruna, dan ibu rumah tangga. Hasil kegiatan menunjukkan peningkatan skor pemahaman rata-rata peserta secara signifikan, dari 40% sebelum kegiatan menjadi 84% setelah kegiatan, serta peserta menunjukkan minat yang tinggi untuk menerapkan teknik tersebut secara mandiri. Kegiatan ini menyimpulkan bahwa intervensi infrastruktur hijau yang murah dan partisipatif dapat ditransfer secara efektif kepada masyarakat serta berkontribusi menurunkan risiko banjir sekaligus memulihkan fungsi ekologis di skala lingkungan permukiman.
Pematang Johar, a rapidly developing village in Labuhan Deli Subdistrict, Deli Serdang Regency, North Sumatra, faces increasing environmental pressure from land-use conversion, reduced green open space, and recurrent waterlogging during the rainy season. This community service activity aimed to introduce green infrastructure revitalization as an innovative approach to strengthen local environmental resilience. The method consisted of preparation, coordination with village authorities, participatory outreach (sosialisasi), practical demonstration of biopore infiltration holes, recharge wells, and rain gardens, and evaluation through pretest-posttest instruments. The activity involved 42 participants consisting of village officials, youth organization members, and housewives. Results showed a substantial increase in participants' average understanding score, from 40% before the activity to 84% afterward, and participants expressed strong interest in applying the techniques independently. The activity concludes that low-cost, participatory green infrastructure interventions can be effectively transferred to communities and contribute to reducing flood risk while restoring ecological function at the neighborhood scale.