Abstract:Students can recognize gaining knowledge of material if in the mastering manner they use gear and substances referred to as getting to know media. This tool can take the shape of a physical item, inclusive of sporting out…
out experiments to understand standards in actual terms,
along with melting experiments to search for string wavves. Waves are also known as
vibration phenomena that propagate via a medium or maybe without a medium, these
vibrations may be idea of as oscillations that pass from one factor to another, because the
characteristic of an test is real and additionally uses teaching equipment, as well as an
approach for educators to make college students lively and satisfied in studying. This
observe ambitions to analyze the Melde experiment that's usedto decide the traits of waves
in strings. The test become accomplished by using striking a string and growing waves with
a certain frequency. The analysis effects display that Melde's experiment is powerful in
figuring out the properties of waves in strings, the results of those findings may be utilized
in various fields together with physics and engineering. This research utilized literature as
a method, examine methodology. The ranges in the use of the literature technique are looking
at, analyzing, then figuring out, then ultimately several opinions of the research that has
been achieved. There are 25 published articles acquired from various domestic assets
analyzed in this article. via wearing out a Melde test to determine a wave on a string,
students can discover the primary concepts of mechanical waves and college students begin
to have direct enjoy the use of the Melde experiment. And by means of sporting out the Melde
experiment students can be encouraged to recognize the role of tension, string density, and
string duration within the formation of status waves via statistics evaluation from their
personal experiments and are capable of increase students' talents in facts collection,
information evaluation, and the software of bodily principles to waves on strings in context,
experimental.
Abstract:The study aims to analyze the argumentative process contained in the YouTube Channel Doha Debate with the title “Gender Equality (Full Debate) Doha debates presenting three spokespersons by using five principles based on…
on Damer’s theory. The method used in this study is qualitative descriptive. Data has been collected in the analysis by way of presenting, describing, and interpreting data. Research results show that there are twelve data in in this study, such as structural principle (twelve data), relevance (ten data), acceptability (one Data), sufficiency (six data), and rebuttal principle (four data). The researcher found that the structural principle is most dominantly used in the argument because there is a claim from the speaker’s argument to strengthen the speaker’s statement so that it can be accepted by the audience, relevance of reasons that are directly related to the claim, acceptability of the audience's opinion regarding the speakers’ argument, sufficiency provides evidence to strengthen the argument, and rebuttal principle which is the speaker's criticism of the argument presented by the opponent. Therefore, this concluded that the most consistent during the debate was Randa saying that quotas can help gender equality while Christina said that quotas cannot work and only harm because there is no evidence that gender quotas can help equality.
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:The loss of food production land due to land conversion in supporting more economically profitable activities has urged innovations in agricultural and fishery activities by utilizing narrow land. A suitable method to solve…
lve this problem is Budikdamber or fish farming in a bucket. This method adopts the concept of aquaponics, which is a combination of aquaculture and hydroponics. Community skills improvement by Budikdamber activity aims to introduce a simple method for growing kale and catfish farming on narrow land using buckets so that people can obtain food directly from their yards. The target community for this activity is the residents of RT 14, Karang Joang Village. The implementation method includes field surveys and problem identification, formulation of solutions, implementation, monitoring, and evaluation. These steps are expected to provide skills for the community to do Budikdamber. The community showed positive responses to this activity. The community showed their understanding and opinion of the Budikdamber activity and the continuity of this activity.
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: Stunting refers to a chronic undernutrition that make children look smaller than children in their age. In the program of community service, role of cadre (a health volunteer) is very important to disseminate the…
he information about stunting to community. Increase cadre’s knowledge and encourage them to be more confidence when giving the information to community about stunting and local food that can meet childreen nutrition requirement to prevent stunting in community. This program is the second year program of community service to continue the evaluation from last year program. This program is specilally for cadre in Sumberkalong village. Each meeting was conducted through focus discussion group about prevention of stunting. Then, cadres disseminated the information to community including, pregnant women, newly marriage couple and toddler moms by visiting their home or door-to-door. There were 10 cadres who participate in the communitity service in the phase of year 1 until year 2 thouroughly. Three cadres were active and often asked some questions during meeting sessions. Some others were active if they were encouraged to ask or to give an opinion. Cadres explained that cadres' knowledge increase after joining several meeting session and focus group discussion. The cadres disseminated the information to the community with confidence. Program of community service which using a focus group discussion is considered effective to increased cadres’ knowledge. Focus group discussion can be employed in encouraging cadres in the community service program.
Keywords: cadre’s knowledge; focus group discussion; stunting.
Abstrak: Stunting merupakan kondisi gagal tumbuh pada tubuh dan otak yang diakibatkan keadaan kurang gizi dalam waktu yang lama. Sehingga, anak stunted memiliki tubuh yang lebih pendek dari anak normal seusianya. Peran kader kesehatan sangat penting dalam mendesiminasikan informasi kesehatan, termasuk informasi terkait pencegahan stunting anak balita di masyarakat, untuk meningkatkan pengetahuan kader kesehatan dan kemampuan kader kesehatan tentang stunting dan zat gizi lokal yang dapat membantu pemenuhan kebutuhan gizi untuk mencegah stunting di masyarakat. Kegiatan ini merupakan program pengabdian kepada masyarakan tahun ke-2 yang berfokus pada pemberdayaan kader kesehatan Desa Sumberkalong Kecamata Kalisat Kabupaten Jember. Setiap pertemuan kegiatan dilaksanakn Focus Group Discussion (FGD) bersama para kader kesehatan yang membahas pencegahan stunting. Kemudian, kader kesehatan mendesiminasikan informaasi yang telah diperoleh dari tim pelaksana program pengabdian kepada masyarakat, meliputi ibu-ibu yang memiliki anak usia balita, ibu hamil dan pasangan usia subur dengan melakukan kunjungan ke secara door-to-door ke rumah. Terdapat 10 kader kesehatan berpartisipasi dalam kegiatan pengabdian kepada masyarakat tahun ke-1 dan tahun ke-2. Sebanyak 3 kader yang aktif bertanya selama proses pertemuan dengan tim pelaksana pengabdian kepada masyarakat. Sebagain kader bertanya atau memberikan pendapatnya jika diminta. Seluruh kader menyampaikan bahwa pengetahuan kader meningkat selama mengikuti rangkaian pertemuan dan FGD.
Kata kunci: Focus Group Discussion (FGD); pengetahuan kader; stunting.
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: Twitter occupies the top position of the most popular social media platform in Indonesia. Police and other related issues were the subject of much discussion. The aim of this research is to analyze public sentiment…
ment towards the National Police Agency using Twitter with the support vector machine method. The research started by crawling Twitter data. The data contains a total of 6,925 entries for three keywords. Next, we move on to the preprocessing stage consisting of (cleaning, case folding, tokenization, and filtering). Next is the tf-idf feature extraction stage, finally the classification and evaluation stage. The results of manual data inspection (73:27) showed accuracy of 70.66%, precision of 70.68%, and recall of 99.76%. Testing the second data (82:18), found accuracy 86%, precision 86.21%, recall 99.71%. The results of manual data checking (82:18) showed accuracy of 70.66%, precision of 70.68%, recall of 99.76%. Testing the second data (82:18), found accuracy 86%, precision 86.21%, recall 99.71%. From the data system testing results (80:20), accuracy was 87.55%, positive precision 87.53%, negative precision 88.24%, positive recall 99.48%, and negative recall. the rate is 99.48.% – The result is 21.43%. Data testing results (60:40) showed accuracy of 86.89%, positive precision of 86.84%, negative precision of 88.46%, positive recall of 99.61%, and negative recall of 16.43%. Single test data validation system (80:20), accuracy 87.55, overall test cross validation system (k fold 5 accuracy) 86.673%.
Keywords: data mining;police agencies;support vector machines
Abstrak: Twitter menduduki posisi teratas platform media sosial terpopuler di Indonesia. Polisi dan masalah terkait lainnya menjadi pokok bahasan banyak pembicaraan. Tujuan penelitian ini untuk menganalisis sentimen masyarakat terhadap Badan Kepolisian Nasional menggunakan Twitter dengan metode support vector machine. Penelitian dimulai dengan crawling data Twitter. Data memuat total 6.925 entri dari tiga kata kunci. Selanjutnya beralih ke tahap preprocessing terdiri dari (pembersihan, pelipatan kasus, tokenisasi, dan pemfilteran). Selanjutnya tahap ekstraksi fitur tf-idf, terakhir tahap klasifikasi dan evaluasi. Hasil pemeriksaan data manual (73:27) menunjukkan akurasi 70,66%, presisi 70,68%, dan recall 99,76%. Menguji data kedua (82:18), menemukan akurasi 86%, presisi 86,21%, recall 99,71%. Hasil pemeriksaan data secara manual (82:18) menunjukkan akurasi 70,66%, presisi 70,68%, recall 99,76%. Menguji data kedua (82:18), menemukan akurasi 86%, presisi 86,21%, recall 99,71%. Dari hasil pengujian sistem data (80:20), akurasi 87,55%, presisi positif 87,53%, presisi negatif 88,24%, recall positif 99,48%, dan recall negatif. tarifnya adalah 99,48.% – Hasilnya 21,43%. Hasil pengujian data (60:40) menunjukkan akurasi 86,89%, presisi positif 86,84%, presisi negatif 88,46%, recall positif 99,61%, dan recall negatif 16,43%. Uji tunggal sistem validasi data (80:20), akurasi 87,55, uji keseluruhan sistem validasi silang (akurasi k fold 5) 86,673%.
Kata Kunci: data mining;instansi kepolisian;mesin vektor pendukung
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