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    Praktik Kerja Lapang PT. Sinergi Gula Nusantara - PG. Ngadiredjo

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    PG. Ngadiredjo is a sugar mill producing SHS (Superium Hoofd Suiker) sugar with a milling capacity of ±6000 TCD. In addition to sugar, it produces by-products like bagasse, molasses, and filter cake (blotong). The production process includes several stages: preparation (ensuring cane quality and quantity), milling (juice extraction), clarification (impurity removal), evaporation (water removal), boiling (crystallization), centrifugation (separating crystals), and drying (reducing moisture for storage). A laboratory conducts quality analyses such as Brix, Pol, juice and bagasse testing. Boilers supply steam for turbines and processing. The factory generates various wastes: solid (bagasse, filter cake, ash), liquid (pollutant and non-pollutant), and hazardous waste (used oil, batteries, lamps, etc.). Proper waste management is crucial to prevent environmental pollution

    Pemetaan Kerusakan Jalan Dengan Metode Pavement Condition Index Pada Ruas Jalan Arteri Mojosari - Mojokerto Berdasarkan Sistem Informasi Geografis

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    Good road infrastructure is crucial to support mobility and the economy in a region. The Mojosari – Mojokerto Arterial Road has experienced various types of damage due to the increasing number of vehicles passing through the road, especially heavy-duty trucks. The resulting pavement damage can increase the risk of accidents for road users. Several arterial roads in the Mojosari – Mojokerto direction are experiencing pavement damage. To obtain information on the level of pavement damage, the Pavement Condition Index (PCI) approach method is used with the formula (PCI = 100 – CDV) with a numerical index value output ranging from 0 – 100 based on the level of damage, type of damage, and dimensions of the damage. This study aims to find the index value of the level of pavement damage on the Mojosari – Mojokerto Road section using the Pavement Condition Index (PCI) method and also to map the condition of road damage in the study area using a Geographic Information System (GIS). The road damage data collection survey was conducted from April 4 to 22, 2025, from 08.00 to 17.00. The types of damage found at the research location include sungkur, potholes, edge cracks, bleeding, patches, alligator skin cracks, grooves, checkerboard cracks, longitudinal cracks, transverse cracks, and joint cracks. The results of the percentage of damage values ​​analyzed using the Pavement Condition Index (PCI) method are as follows: Airlangga Street 76 (Very Good), Gajah Mada Street 80.5 (Very Good), Jalan Raya Pekukuhan 81.33 (Very Good), Ahmad Yani Street 85 (Very Good), Ngranggon Street 79.3 (Very Good) with a value range of 71-85 based on the Pavement Condition Index (PCI) method. The road damage condition value will be used to create a thematic map of road damage values ​​for each road segment

    Analisis Yuridis Potensi Pelanggaran Hak Merek Sepatu Vans Oleh Ventela

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    A trademark is a sign used to distinguish goods or services from one business actor to another. Vans is a brand that has many fans in Indonesia, so Vans registered its trademark with the Directorate General of Intellectual Property. This registration does not necessarily prevent Vans from trademark disputes. The potential for trademark infringement occurs because Ventela trades merchandise that contains similarities in principle or in whole with the Vans brand. This study aims to explain the rights of the Vans trademark and the legal regulations related to the similarities between the Vans and Ventela brands. In addition, this study also aims to explain the legal efforts that Vans can take to defend its trademark rights. This study uses a normative method using a statutory approach as well as views and doctrines that have developed in legal science. The results of the study, Law Number 20 of 2016 concerning Trademarks and Geographical Indications (Law No. 20/2016 MIG) provides legal certainty regarding the legal protection of the Vans brand, registered brands have exclusive rights granted by the state. Based on these rights, the brand owner can file a lawsuit as stipulated in Articles 93 and 100 of Law No. 20/2016 on Trademarks. Therefore, Vans can defend its brand rights

    Klasifikasi Kasus Kekerasan Perempuan di Kabupaten Jember Menggunakan Latent Dirichlet Allocation dan Zero-Shot Classification

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    This study aims to classify cases of violence against women in Jember Regency using Latent Dirichlet Allocation (LDA) and Zero-Shot Classification (ZSC). The dataset consisted of 300 narrative reports collected from the Department of Women’s Empowerment, Child Protection, and Family Planning (DP3AKB) of Jember during 2018–2024. The research process involved text preprocessing, topic modeling with LDA, and classification using ZSC based on XLM-RoBERTa. The evaluation results indicate that LDA successfully generated 16 main topics with the best coherence score of 0.65, reflecting patterns of physical, psychological, sexual, and verbal violence. Meanwhile, ZSC effectively classified documents into four violence categories, achieving an accuracy of 90%, precision of 90%, recall of 90%, and an F1-score of 90%. These findings demonstrate that the integration of LDA and ZSC is effective in supporting local agencies to systematically manage violence reports and provide a reliable foundation for developing a web-based analytical system to strengthen women’s protection policies at the regional level

    ANALISIS PENGARUH FAKTOR PENERIMAAN PENGGUNA TERHADAP WEBSITE KITA GARUDA MENGGUNAKAN UTAUT 2

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    The advancement of digital technology has encouraged the emergence of web-based e-ticketing systems such as Kita Garuda, developed by PSSI to facilitate online ticket purchases for the national football team matches. However, variations in processes and users’ ability to access digital technology still create challenges and discomfort. This study aims to analyze the factors influencing user acceptance of the Kita Garuda website using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2), modified with the addition of Service Satisfaction, Continued Intention, and Psychological Discomfort variables. The Partial Least Square Structural Equation Modeling (PLS-SEM) method was employed to examine the relationships among variables and to test the moderating effect of Psychological Discomfort. The results show that within Intrinsic Motivation, Habit is the most dominant factor influencing Continued Intention, while Hedonic Motivation is the weakest. Within Extrinsic Motivation, Facilitating Condition has the strongest effect, whereas Price Value is the least influential. Service Satisfaction was not proven to be a significant mediator between motivation and Continued Intention. Moreover, the multi-group analysis indicated that respondents with high levels of Psychological Discomfort demonstrated stronger relationships among variables compared to those with lower levels. These findings provide implications for Kita Garuda’s management to enhance sustainable usage by focusing on user motivation, service quality, and psychological experience in using the e-ticketing platform

    PENERAPAN CONTENT-BASED FILTERING DAN NAÏVE BAYES CLASSIFIER PADA REKOMENDASI DOSEN PEMBIMBING TUGAS AKHIR

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    The selection of thesis supervisors is a crucial factor that significantly influences students’ success in completing their undergraduate theses. Limited access to information regarding the alignment of lecturers’ expertise often leads to inaccurate supervisor assignments. This study proposes a supervisor recommendation system based on text mining by integrating Content-Based Filtering (CBF) and the Naïve Bayes Classifier (NBC). The dataset consists of lecturers’ scientific publications as proxies for their expertise and a collection of student thesis titles from 2022–2024 as test data. The preprocessing stage includes translation, case folding, tokenization, stopword removal, and stemming. CBF measures the similarity between thesis titles and publications using TF-IDF and cosine similarity, while NBC models the probability of topic relevance through Laplace smoothing. The scores from both methods are combined using a weighted sum approach to generate the final ranking of recommended supervisors. The evaluation results indicate that the hybrid CBF+NBC approach outperforms each method individually, showing a consistent improvement in accuracy across the years. Specifically, for the 2024 validation dataset, the system achieved 86% accuracy under the optimal weighting scheme, highlighting the effectiveness of combining content similarity and probabilistic modeling in mapping the compatibility between lecturers and students. This study provides a more objective, transparent, and balanced framework for supervisor selection, and it can be replicated in other academic programs with similar characteristic

    Pengaruh Electronic Word of Mouth (E-WOM) Terhadap Keputusan Berkunjung Wisatawan Pada Wisata KANSA Wonosalam Jombang

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    Era digital membuat calon wisatawan semakin bergantung pada ulasan dan komentar di platform online untuk membentuk persepsi destinasi wisata. Salah satu faktor yang diduga memengaruhi keputusan berkunjung adalah electronic word of mouth (eWOM). Penelitian ini bertujuan untuk menganalisis pengaruh dimensi eWOM yang terdiri dari intensity, valence of opinion, dan content terhadap keputusan berkunjung wisatawan ke Wisata Edukasi KANSA. Penelitian menggunakan pendekatan kuantitatif dengan penyebaran kuesioner kepada 100 responden, kemudian data dianalisis melalui regresi linear berganda setelah melalui uji validitas, reliabilitas, dan asumsi klasik. Hasil penelitian menunjukkan bahwa intensity, valence of opinion, dan content berpengaruh signifikan baik secara parsial maupun simultan terhadap keputusan berkunjung. Di antara ketiga dimensi, valence of opinion terbukti paling dominan dalam memengaruhi keputusan wisatawan. Kesimpulan penelitian ini menegaskan bahwa eWOM berperan penting dalam membentuk keputusan berkunjung, sehingga pengelola Wisata Edukasi KANSA perlu mendorong ulasan positif, meningkatkan intensitas promosi, serta memperkaya konten digital. Kata Kunci: electronic word of mouth, intensity, valence of opinion, content, keputusan berkunjun

    Perancangan UI/UX Aplikasi Mobile Marketplace Barbershop BarberGo dengan Metode User Centered Design

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    Barbershop merupakan UMKM yang bergerak di sektor jasa pelayanan pangkas dan perawatan rambut. Dengan persaingan industri yang semakin ketat, terdapat permasalahan di barbershop dalam memilih model rambut yang sesuai dengan preferensi pelanggan dan desain antarmuka dalam aplikasi barbershop yang telah tersedia masih terbilang rumit. Penelitian ini bertujuan untuk menghasilkan solusi desain antarmuka dan pengalaman pengguna aplikasi mobile marketplace barbershop BarberGo dengan metode User Centered Design. Metode penelitian yang digunakan melibatkan empat tahapan utama User Centered Design yang terdiri dari Understand Context of Use, Specify User Requirements, Design Solutions, dan Evaluate Against Requirements. Pengumpulan data melalui metode studi literatur dan wawancara dengan masing-masing kelima responden pelanggan dan barbershop. Hasil wawancara kemudian diolah dan dianalisis untuk mendapatkan solusi desain antarmuka yang memiliki nilai usability yang baik. Hasil penelitian ini menunjukkan perbandingan yang signifikan antara hasil evaluasi usability pada tahap pertama dan kedua. Pada hasil evaluasi tingkat usability, dari sisi pelanggan mengalami peningkatan nilai usability sebesar 18.16% dengan hasil akhir 80.74% dan barbershop mengalami peningkatan nilai usability sebesar 17.19% dengan hasil akhir 82.28%. Pada hasil evaluasi System Usability Scale (SUS), dari sisi pelanggan mengalami peningkatan nilai sebesar 27 dengan hasil akhir 93 dan barbershop mengalami peningkatan nilai sebesar 26 dengan hasil akhir 94. Berdasarkan hasil tersebut menunjukkan bahwa desain antarmuka aplikasi mobile marketplace barbershop BarberGo telah memiliki tingkat kegunaan yang baik, serta dapat diterima dan layak digunakan oleh pengguna

    SINTESIS DAN KARAKTERISASI KOMPOSIT SILIKA KARBON DARI ABU BAGASSE (AMPAS TEBU)

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    applications of this composite is as an effective adsorbent, capable of absorbing metal ions. Bagasse ash is a material that contains a relatively high amount of silica. In this study, bagasse ash will be utilized as a constituent in the fabrication of silica-carbon composites. In this study, bagasse ash was extracted with NaOH at concentrations of 1N, 1.5N, 2N, 2.5N, and 3N. The filtrate from the extraction, in the form of Na2SiO3, will undergo dilution with demineralized water at a ratio of 1:1, 1:2, 1:3, 1:4, and 1:5. The variation in NaOH concentration and Na2SiO3 dilution ratio is designed to ascertain the impact of these conditions and conditions with the Si/C content most analogous to the optimum Si/C ratio. The findings indicated that the optimal silica carbon composite was achieved at a NaOH concentration of 1.5, with a silica content of 68.3% and a carbon content of 25.76%, resulting in a Si:C ratio of 2.65:1. In contrast, a NaOH concentration of 2N, with a silica content of 55.58% and a carbon content of 35.97%, yielded a Si:C ratio of 1.54:1. The results of the XRD analysis demonstrated that the silica carbon composite did not exhibit any crystalline phase peaks. Instead, a range of 15–30° was observed, with the highest peak located at 2θ = 30.1226°. This finding indicates that the silica carbon composite is amorphous

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