Judul: Penentuan Kemiripan Data Karya Ilmiah IPB Menggunakan Algoritme Levenshtein
Abstrak: IPB Scientific Data is documented periodically. This data can be used for academics and researchers to get a reference of particular research study. In this research, Levenshtein algorithm was implemented to determine the similarity between titles. The concept for calculating Levenshtein distance is minimum number of edit operations required to transform a string into another string that consists of 3 operations: 1) insertion, 2) substitution, and 3) deletion. The research shows that implementation of Levenshtein distance to determine the similirity of scientific data is difficult to be able to obtain high persentage of similarity. And the similarity rate of 34% can be used as a threshold to determine the similarity of scientific data with the title as identifier. This is able to increase AVP curve.
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Judul: Analysis of Text Similarity to Goal Standard Using Levenshtein Distance and Cosine Similarity Algorithm (Case Study: Data Result of Company X Survey)
Abstrak: Text mining merupakan teknik dalam pengolahan data teks untuk mengekstrak informasi tertentu. Salah satu contoh text mining adalah mengukur nilai kemiripan antara dua string. Algoritme Levenshtein Distance dapat digunakan untuk mengukur kemiripan teks dengan menghitung jarak perbedaan antara dua string. Algoritme lain yang digunakan adalah algoritme Cosine Similarity. Algoritme Cosine Similarity melakukan pengukuran dengan membandingkan jarak antara dua string yang dinyatakan dalam dua buah vektor. Penerapan algoritme ini juga dilakukan dengan berbagai teknik text pre-processing yang dapat memberikan hasil yang lebih maksimal. Kedua algoritme tersebut digunakan dalam penelitian ini untuk mengukur kemiripan teks antara dua dataset. Data yang digunakan yaitu, data hasil survei dengan master data pada database Perusahaan X. Data hasil survei berjumlah 24.659 respon sedangkan pada database Perusahaan X berjumlah 725 daftar nama program kelas online. Objek yang diukur kemiripannya ialah nama program kelas online pada data hasil survei dengan database Perusahaan X. Nilai kemiripan yang dihasilkan digunakan untuk mengidentifikasi daftar nama program kelas online yang diikuti peserta pada hasil survei. Hasil identifikasi dari 24.659 respon hasil survei diperoleh 322 daftar nama program kelas online dengan algoritme Levenshtein Distance dan 327 daftar nama program kelas online dengan algoritme Cosine Similarity., Text mining is a technique in processing text data to extract certain information. One example of text mining is measuring the similarity value between two strings. Levenshtein Distance algorithm can be used to measure the similarity of text by calculating the distance difference between two strings. Another algorithm used is the Cosine Similarity algorithm. The Cosine Similarity algorithm performs measurements by comparing the distance between two strings expressed in two vectors. The application of this algorithm is also carried out with various text pre-processing techniques that can provide maximum results. The two algorithms are used in this study to measure the similarity of the text between the two datasets. The data used are survey results data with master data in Company X database. Data from survey results totaled 24,659 responses, while in Company X database there were 725 lists of online class program names. The object whose similarity is measured is the name of the online class program in the survey data with the Company X database. The similarity value generated is used to identify the list of names for the online class program that participants participated in the survey results. The identification results from 24,659 responses to the survey results obtained 322 lists of names for online class programs with the Levenshtein Distance algorithm and 327 lists of names for online class programs with the Cosine Similarity algorithm.
Keyword: cosine similarity, kemiripan teks, levensthein distance, text mining, cosine similarity, text similarity, levensthein distance, text mining

Judul: Pengaruh Social Media Influencer terhadap Keputusan Pembelian Produk Kecantikan Halal pada Generasi Z di Jabodetabek
Abstrak: Di Indonesia, kosmetik halal menjadi salah satu sektor industri halal yang sedang berkembang dan menempati posisi ke-2 di dunia. Kosmetik halal saat ini banyak diperhatikan oleh masyarakat khususnya remaja yang dikenal dengan nama generasi Z. Tujuan penelitian ini adalah untuk menganalisis pengaruh religiusitas, label halal, harga, kualitas dan social media influencer terhadap keputusan pembelian produk kecantikan halal pada generasi Z di Jabodetabek. Sampel penelitian ini berjumlah 114 responden yang mewakili generasi Z di Jabodetabek dan pengambilan data menggunakan kuesioner dengan skala Likert. Metode analisis data yang digunakan ialah metode regresi linear berganda dengan teknik pengambilan sampel menggunakan purposive sampling. Hasil menunjukkan bahwa secara bersama variabel independen berpengaruh signifikan terhadap keputusan pembelian. Secara parsial, harga dan kualitas produk berpengaruh terhadap keputusan pembelian sedangkan religiusitas, label halal dan social media influencer tidak berpengaruh., In Indonesia, halal cosmetics are one of the growing halal industrial sectors, occupying the 2nd position in the world. Halal cosmetics are currently getting a lot of attention from the public, especially teenagers, known as Generation Z. The purpose of this study was to analyze the effect of religiosity, halal label, price, quality and social media influencers on purchasing decisions for halal beauty products in Generation Z in Jabodetabek. The sample of this study amounted to 114 respondents representing generation Z in Jabodetabek and data collection using a questionnaire with a Likert scale. The data analysis method used in this research is multiple linear regression method with sampling technique using purposive sampling. The results show that simultaneously the independent variables have a significant effect on the dependent variable. Partially, price and product quality influence purchasing decisions, while religiosity, halal labels and social media influencers have no effect.
Keyword: Halal Cosmetics, Purchasing Decisions, Z Generation, Halal Cosmetics, Purchasing Decisions, Z Generation