Abstract:Abstract: Arya Wedding Decoration Sei Alim Ulu Village is a work that is engaged in services that lead to organizing an event or event, which can make it easier for customers or clients who order an event package to Arya…
Wedding Decoration to be held professionally with maximum results than done by the client. Arya Wedding Decoration in its implementation in organizing events consists of a team in the success of an event. The Arya Wedding Decoration Sei Alim Ulu Village in its implementation experienced several problems, namely the limited promotional media, namely only using social media applications, as well as the limited efforts to retain clients and find new clients in order to increase the existence of the Arya Wedding Decoration Sei Alim Ulu Village party. The problems that have been described underlie the need for a very popular technology whose presence has various features to know client opinions, event package promos, package ratings, event package testimonials, package orders and the convenience of contacting the Makeup and Decoration party because it is supported by an application that is directly connected to the Arya Wedding Decoration Sei Alim Ulu Village via live chat.
Keywords: CRM, wedding organizer, PHP and MySQL
Abstrak: Arya Wedding Decoration Desa Sei Alim Ulu merupakan pekerjaan yang bergerak dibidang jasa yang mengarah kepada mengorganisasikan suatu kegiatan acara atau event, yang dapat memudahkan pelanggan atau klien yang memesan sebuah paket event ke pihak Arya Wedding Decoration guna diselenggarakan secara professional dengan hasil yang lebih maksimal dari pada dikerjakan sendiri oleh klien. Pihak Arya Wedding Decoration pada implementasinya dalam menyelenggarakan event terdiri dari sebuah tim dalam menyukseskan sebuah event. Pihak Arya Wedding Decoration Desa Sei Alim Ulu dalam implementasinya mengalami beberapa permasalahan yaitu terbatasnya media promosi yaitu hanya menggunakan aplikasi sosial media, serta terbatasnya usaha mempertahankan klien dan mencari klien baru guna meningkatkan eksistensi dari pihak Arya Wedding Decoration Desa Sei Alim Ulu. Permasalahan yang telah diuraikan, mendasari perlunya teknologi yang sangat popular kehadirannya yang memiliki beragam fitur mengetahui pendapat klien, promo paket event, rating paket, testimoni paket event, pemesanan paket dan kemudahan menghubungi pihak Tata Rias dan Dekorasi karena sudah didukung dengan aplikasi yang langsung terhubung dengan pihak Arya Wedding Decoration Desa Sei Alim Ulu melalui live chat.
Kata kunci: CRM, wedding organizer, PHP dan MySQL.
Abstract:Abstract: Public speaking is an important skill for every person and organization to have. In doing public speaking, it takes careful practice to get used to convey a topic in front of many people. However, in reality, many…
any people and youth have low public speaking skills, which makes it difficult for them to express their opinions in front of many people, so a public speaking training for youth groups is held so that participants who take part in the training understand the importance of having public speaking skills and how to improve these skills. . In addition, this public speaking training is needed in youth organizations so that in internal and external communication there is no miscommunication and expressing opinions. The method used in this activity is a participatory act review. This activity received a positive response from the participants, as seen from the enthusiasm of the participants and active in asking, discussing, and answering questions posed by the presenters. In addition, based on the Pre-Test and Post-Test questionnaires that have been given to 22 training participants, the results are very good. Where based on the post-test filled by 22 people, there are 17 people who get good results with a vulnerable value of 76-100, only 5 people with a value (56-75) this shows much improvement from the results of the previous pre-test, which only 5 people get good grades
Keywords: public speaking; training; youth organization.
Abstrak: Public speaking merupakan skill yang penting untuk dimiliki oleh setiap orang maupun organisasi. Dalam melakukan public speaking dibutuhkan latihan yang matang agar terbiasa dalam menyampaikan suatu topik di depan banyak orang. Namun kenyataannya, banyak masyarakat maupun pemuda yang memiliki kemampuan public speaking rendah, yang menyebabkan mereka sulit menyampaikan pendapat di depan banyak orang, maka diadakanlah pelatihan public speaking bagi karang taruna ini agar peserta yang mengikuti pelatihan memahami pentingnya mempunyai keterampilan public speaking dan bagaimana meningkatkan keterampilan tersebut. Selain itu, pelatihan public speaking ini diperlukan dalam organisasi karang taruna agar dalam komunikasi internal maupun eksternal tidak terjadinya miscommunication dan menyampaikan pendapat. Metode yang digunakan dalam kegiatan ini adalah kaji tindak partisipati. Kegiatan ini mendapatkan respon yang positif dari peserta, yang dilihat dari antusiasme para peserta dan aktif dalam bertanya, berdiskusi, dan menjawab pertanyaan yang dilontarkan oleh pemateri. Selain itu, berdasarkan angket pengisian Pre-Test dan Post Test yang sudah diberikan kepada 22 peserta pelatihan menunjukan hasil yang sangat baik. Dimana berdasarkan post-test yang diisi oleh 22 orang terdapat 17 orang yang mendapatkan hasil baik dengan rentan nilai 76-100, cukup 5 orang dengan nilai (56-75) hal ini jauh menunjukan peningkatan dari hasil pre-test sebelumnya, yang hanya 5 orang mendapat nilai baik
Kata kunci: karang taruna; pelatihan; public speaking.
Abstract:Abstract: The rapid growth of e-commerce in Indonesia has increased consumer interactions with digital platforms, particularly Lazada, Tokopedia, and Blibli, resulting in a large volume of customer reviews that reflect consumer…
onsumer experiences and perceptions but have not been optimally utilized in business decision-making. The main issue addressed in this study is how to process customer review data to generate meaningful information regarding consumer opinions. This research aims to apply web scraping techniques to collect customer review data and conduct sentiment analysis to identify trends in consumer opinions across the three e-commerce platforms. The dataset consists of 3,000 customer reviews, with 1,000 reviews collected from each platform, covering aspects such as shopping experience, service quality, delivery process, and customer satisfaction. The research methodology includes data collection through web scraping, text preprocessing for data cleaning and normalization, sentiment analysis using machine learning approaches, and visualization of sentiment results. The findings indicate differences in the distribution of positive, negative, and neutral sentiments across platforms, reflecting variations in consumer experiences and service strategies. These results demonstrate that sentiment analysis based on customer reviews can serve as strategic input to improve service quality, business performance, and marketing strategies in Indonesia’s e-commerce sector.
Keywords: customer reviews; digital services; e-commerce; sentiment analysis; web scarping
Abstrak: Pertumbuhan pesat e-commerce di Indonesia meningkatkan interaksi konsumen dengan platform digital, khususnya Lazada, Tokopedia, dan Blibli, yang menghasilkan ulasan pelanggan dalam jumlah besar sebagai cerminan pengalaman dan persepsi konsumen, namun belum dimanfaatkan secara optimal dalam pengambilan keputusan bisnis. Permasalahan utama penelitian ini adalah bagaimana mengolah data ulasan tersebut agar dapat memberikan informasi yang bermakna mengenai opini konsumen. Penelitian ini bertujuan menerapkan web scraping untuk mengumpulkan data ulasan pelanggan serta melakukan analisis sentimen guna mengidentifikasi tren opini konsumen pada ketiga platform e-commerce tersebut. Data yang digunakan berjumlah 3.000 ulasan pelanggan, dengan masing-masing platform diwakili oleh 1.000 ulasan yang mencakup pengalaman berbelanja, kualitas layanan, proses pengiriman, dan tingkat kepuasan pelanggan. Metode penelitian meliputi pengambilan data menggunakan web scraping, pra-pemrosesan teks untuk pembersihan dan normalisasi data, analisis sentimen dengan pendekatan pembelajaran mesin, serta visualisasi hasil sentimen. Hasil penelitian menunjukkan adanya perbedaan distribusi sentimen positif, negatif, dan netral pada setiap platform, yang mencerminkan variasi pengalaman konsumen dan strategi layanan. Temuan ini menunjukkan bahwa analisis sentimen berbasis ulasan pelanggan dapat menjadi masukan strategis untuk meningkatkan kualitas layanan, kinerja bisnis, dan strategi pemasaran e-commerce di Indonesia.
Kata kunci: customer reviews; digital services;e-commerce;sentiment analysis;web scarping
Abstract:Abstract: The increasing use of digital banking applications has led to the need for a deeper understanding of user perceptions, especially through aspect-based sentiment analysis. This study aims to classify the sentiment…
nt of SeaBank app users by focusing on four main aspects: learnability, efficiency, technical issues or errors, and satisfaction. Review data totaling 1,971 comments were collected from the Google Play Store and labeled with sentiments based on the scores (ratings) given by users. The CRISP-DM approach serves as the methodological framework for this study, which includes five classification algorithms: Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree, and Random Forest. The evaluation results show that the SVM algorithm provides the best performance with the highest average value of the four aspects achieving accuracy of 93.91%, Precision of 91.16%, recall of 97.96% and F1-Measure of 94.33%. According to the research findings, the Support Vector Machine (SVM) algorithm provides the best performance when performing aspect-based sentiment analysis on text data from digital banking application reviews. The findings are expected to serve as a reference for the development of automated evaluation systems that rely on user opinions as the basis for decision making.
Keywords: aspects; CRISP-DM; digital Banking; seabank; sentiment analysis
Abstrak: Peningkatan pemakaian aplikasi perbankan digital mendorong perlunya pemahaman yang lebih dalam mengenai persepsi pengguna, terutama melalui analisis sentimen berbasis aspek. Penelitian ini bertujuan untuk mengklasifikasikan sentimen pengguna aplikasi SeaBank dengan berfokus pada empat aspek utama: kemudahan dipelajari (learnability), efisiensi penggunaan (efficiency), kendala atau kesalahan teknis (error), serta tingkat kepuasan (satisfaction). Data ulasan berjumlah 1.971 komentar dikumpulkan dari Google Play Store dan diberi label sentimen berdasarkan skor (rating) yang diberikan oleh pengguna. Pendekatan CRISP-DM berfungsi sebagai kerangka metodologis untuk penelitian ini, yang mencakup lima algoritma klasifikasi: Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree, dan Random Forest. Hasil evaluasi menunjukkan bahwa algoritma SVM memberikan performa terbaik dengan nilai rata-rata dari ke empat aspek tertinggi yang mencapai accuracy sebesar 93.91%, Precision sebesar 91.16%, recall sebesar 97.96% dan F1-Measure sebesar 94.33%. Menurut temuan penelitian, algoritma Support Vector Machine (SVM) memberikan kinerja terbaik saat melakukan analisis sentimen berbasis aspek pada data teks dari ulasan aplikasi Seabank. Temuan ini diharapkan dapat menjadi referensi bagi pengembangan sistem evaluasi otomatis yang mengandalkan opini pengguna sebagai dasar pengambilan keputusan.
Kata kunci: Analisis Sentimen, Aspek, Bank Digital, SeaBank, CRISP-DM
Abstract:Abstract: Rohingya refugees continue to arrive in Aceh by sea by boat. Based on data from the United Nations High Commissioner for Refugees (UNCHR), as of December 10 2023, 1,543 Rohingya refugees had landed in Aceh since…
e mid-November 2023. The increasing number of refugees arriving has caused resistance from local residents. This rejection was the result of the bad experiences of Acehnese people with Rohingya refugees. The main problem of this research is that analyzing public opinion on Rohingya ethnicity in Indonesia is still done manually by looking at tweets one by one. The solution to overcome this is to analyze opinions using data crawling with the Naïve Bayes algorithm. The purpose of this research is to determine public opinion on Twitter media regarding refugee refugees. The method used in this research is the Naïve Bayes algorithm method. The results of the research show that the Naïve Bayes algorithm can classify public opinion sentiment on Twitter social media towards the Rohingya Ethnic in Indonesia into positive sentiment. and negative with a total accuracy of 70%. So, the words "Rohingya Ethnicity in Indonesia" tend to be accepted by the X community with the arrival of Rohingya refugees in Indonesia.
Keywords: rohingya; twitter; naïve bayes; opinion
Abstrak: Pengungsi Rohingya terus berdatangan ke Aceh melalui jalur laut dengan menggunakan perahu. Berdasarkan hasil data United Nations High Commissioner for Refugees (UNCHR), per 10 Desember 2023 sebanyak 1.543 pengungsi Rohingya datang ke dalam wilayah Aceh. Meningkatnya jumlah pengungsi yang datang menimbulkan perlawanan dari warga setempat. Penolakan ini imbas dari pengalaman buruk warga Aceh terhadap pengungsi Rohingya. Permasalahan utama penelitian ini yaitu menganalisis opini publik terhadap Etnis Rohingya di Indonesia masih secara manual dengan melihat tweet satu persatu. Solusi mengatasi hal tersebut maka analisis opini menggunakan crawling data dengan algoritma Naïve Bayes. Tujuan penelitian ini untuk mengetahui opini publik pada media twitter terkait pengungsi Rohingya. Metode yang digunakan dalam penelitian ini yaitu metode algoritma Naïve Bayes. Hasil penelitian menunjukan bahwa pada algoritma Naïve Bayes dapat mengklasifikasikan sentimen dengan total akurasi 70%. Maka “Etnis Rohingya di Indonesia†cenderung dapat diterima oleh masyarakat X dengan datangnya pengungsi Rohingya di Indonesia.
Kata kunci: rohingnya; twitter; naïve bayes; opini
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:According to contemporary scholars, buying and selling shares is of the opinion that buying and selling shares is legally permissible and some are prohibited. Meanwhile, according to the DSN Fatwa, ensuring share buying…
and selling transactions are halal. Buying and selling shares from an Islamic legal perspective is an important topic in integrating modern economic practices with sharia principles. The analysis includes the definition of shares as ownership of company assets, the importance of ensuring that the company's business is halal, as well as the prohibition against usury and gharar. Differences of opinion among scholars in determining the law itself. This research aims to compare the opinions of the DSN Fatwa with Contemporary Fuqaha in determining the law on the sale and purchase of shares. The approach used in this writing is a normative juridical approach with literature studies. The results that the author can conclude are that the law on buying and selling shares is permissible and some is prohibited.
Abstract:This in-depth research on "The Influence of Transformational Leadership in Improving the Performance of Educational Organizations" uses a qualitative library research method. The main focus of this research is to understand…
and how transformational leadership affects organizational culture, employee motivation, and academic performance in educational settings. The results showed that transformational leadership plays a central role in shaping a positive and inclusive organizational culture, focusing on empowerment, shared vision, and open communication. The dimension of individual empowerment through responsibility and autonomy creates a work climate that supports creativity and growth. A shared vision clearly articulated by the transformational leader provides strong direction for team members, creates meaning in every action, and increases employee engagement. Open communication maintained by transformational leaders provides space for ideas and opinions to flourish, creating a collaborative work environment. The importance of applying transformational leadership in the context of educational organizations is also recognized in the implications of this research. Contributions to the understanding of transformational leadership can help educational leaders develop more contextualized and relevant leadership strategies. The practical implications of this research include the development of leadership training and development programs as well as the formulation of educational policies that support organizational growth and educational quality improvement. Although this study provides a deeper understanding, recognition of the critiques and limitations of previous studies provides a foothold for further research in exploring the complexities of transformational leadership in educational organizations.