bluuebunny/crossref_metadata_2025 huggingface dataset:
LITERASI KEUANGAN: Tips Menabung untuk Siswa Sekolah Dasar di SDIT Al Islami Tajur Halang Bogor
Authors: Septiowati Rini , Purwatiningsih Purwatiningsih , Sari Silvia
Published: January 2025

Financial literacy is an important activity in accounting. Introducing financial literacy to children can be done by introducing children to the values ​​of money and the culture of saving. The importance of saving for school students is not only to get their own money, but to be accustomed to strong self-management so that they can become wise people who manage their finances, do not live excessively or wastefully, can think anticipatory to unexpected situations and are able to manage finances in the future. will come. The goal of saving is to get used to living frugally. Living frugally means not being wasteful. Expenditures are adjusted to needs and meet large needs in the future. The aim of the service is to train students to record simple financial reports in managing money. The service team uses a training method through stage four. Lectures, tutorials, discussions and evaluations. This service was carried out at SDIT AL Islami Tajur Halang Bogor on October 10 2024, which was attended by 25 students. The result of this training is that students participate in the training enthusiastically. Delivery of light material, according to needs, and easy to understand, direct training assistance, exciting discussions, sufficient training duration, and evaluation as a benchmark for success. This is an effort to manage student finances and minimize waste.
Budidaya Ikan Cupang Pemutus Mata Rantai Penyebab Penyakit Demam Berdarah Dengue di Lingkungan Sekolah Menengah Atas Negeri 2 Kota Tarakan
Authors: Satriani Gloria Ika , Amien Muhammad , Azis Azis , Iromo Heppi , Sumarni Titin , Wulandari Irene Caya
Published: January 2025

Dengue hemorrhagic fever often appears in the rainy season and is more common in tropical areas. Dengue fever is transmitted through mosquito bites, such as Aedes aegypti or Aedes albopictus females, who have the virus transmitted into the human body. This mosquito bites humans in the morning and afternoon. Natural factors and human behavior can cause this virus to appear. Mosquito A.aegypti could live and reproduce in crowded and unclean places, especially in standing water. One way to prevent dengue fever is to cover and drain areas of standing water. Another way to do this is to keep fish that eat larvae in water reservoirs. Using insecticides to stop the chain of mosquito-spread during the larval stage is one method that is often used to control A.aegypti; the extermination of mosquito larvae is more effective than adult mosquitoes. Betta, as a predator of mosquito larvae A.aegypti, can break the chain of dengue fever naturally and effectively. This community service activity (PKM) involves outreach within the SMA Negeri 2 Tarakan City environment.
Strategi Cerdas Pemanfaatan AI (Artificial intelligence) dalam Perencanaan Keuangan Berbasis Digital untuk Keberlanjutan UMKM
Authors: Munawarah Israfil
Published: January 2025

This community service aims to improve the financial digital literacy of Micro, Small, and Medium Enterprises (MSMEs) through the use of artificial intelligence (AI). By providing training and understanding of various AI-based tools that can be used for financial planning, it is hoped that MSMEs can optimize financial management, improve efficiency, and ultimately achieve business sustainability. This activity will include materials on analyzing financial data with AI, predicting market trends, and selecting the right digital financial solutions. Through the implementation of this technology, it is expected that MSMEs can manage their finances more effectively, strengthen their position in the market, and increase competitiveness in the digital economy.
Pelatihan Strategi Bisnis UMKM Go Digital Dalam Meningkatkan Daya Saing di Era Digital
Authors: Safri Hayanuddin , Murniyanti Sri , Firmansyah Denny , Diah Muhammad , Sutoyo Sutoyo , Nurhayati Agustina , Santika Cut
Published: January 2025

The rise of Micro, Small, and Medium Enterprises (MSMEs) in society requires them to keep up with the times. Home-based businesses, or what are commonly called home-based MSMEs, are also now competing on a large scale with their business strategies. As technology continues to develop, so do the strategies for business development, which increases competition. Therefore, in this digital era, where Android is used as a strategy for business growth, MSMEs must compete to expand their businesses, especially by utilizing popular apps like Gojek and Grab. MSMEs that use Gojek and Grab as partners often offer free shipping vouchers and price reductions as part of their strategy to increase sales. However, MSMEs going digital still face challenges in coping with the rapidly evolving digital era. MSMEs that still rely on traditional marketing methods need to work harder to develop business strategies that are now accessible to everyone. A good business strategy is one that creates a competitive advantage. The right business strategy will also ensure the longevity of the company, as desired by the business owner. The purpose of this community service is to improve understanding and enhancement of effective business strategies, especially in the era of digitalization. Many MSMEs close their businesses due to failing in marketing competition, resulting in low profits or, in some cases, no profit at all. This research was conducted to prevent such situations by providing training on business strategies and how these strategies can be used to enhance competitiveness in the digital era. The method used in the training is offline or face-to-face with mentoring, through analysis and problem-solving. The materials provided focus on business strategies to improve competitiveness in the digital era, delivered through lectures, training sessions, Q&A, and demonstrations.
Interaksi antara Pemerintah Provinsi Daerah Khusus Jakarta dan Kearifan Lokal: Menciptakan Harmoni dalam Pembangunan Kota
Authors: Citrawali Andi , Tjenreng Muhammad Baharuddin Zubakhrum
Published: January 2025

Jakarta, currently undergoing a transition from its status as a Special Capital Region to the Special Region of Jakarta following the enactment of the DKJ Bill by the Indonesian House of Representatives on Thursday, March 28, 2024, will no longer serve as the nation's capital once the new National Capital City (IKN) is officially inaugurated. Jakarta,  with  its  dynamic  urban  life,  must  continue to  progress  and develop to better serve and support its residents, ensuring a prosperous, safe, and peaceful life. The city’s development should focus on human resource development based  on  local  wisdom,  considering its  dense  population,  social  complexity,  and limited natural resources compared to other regions. Harmonious urban development can be achieved through positive interaction between the government and local wisdom, along with policies oriented toward social, cultural, and environmental sustainability. This approach aims to make Jakarta a livable and globally competitive city while preserving its unique cultural identity.
Aplikasi JAKI Sebagai Pelayanan Publik dalam Pengelolaan Sampah di Dki Jakarta
Authors: Jacky Jacky , Tjenreng Muhammad Baharuddin Zubakhrum
Published: January 2025

This study explores the role of digitalization in improving public services, particularly in waste management in DKI Jakarta. Through an in-depth analysis of the JAKI application and a review of relevant literature, this study identifies the potential and challenges of implementing digitalization in waste management. The results show that digitalization through JAKI has contributed positively to increasing transparency, public participation, and efficiency in waste management. However, there are still a number of challenges such as limited access to technology, slow bureaucratic processes, and low public participation. To overcome these challenges,  this  study  recommends  several  strategies,  such  as  developing  a  comprehensive digital platform, training and educating the public, integrating data efficiently, improving technology infrastructure, and partnering with third parties. Thus, it is expected that digitalization  can  be  an  effective  solution  to  address  waste  management  problems  in  DKI Jakarta and improve the quality of life for the community.
Penguatan Upgrade Diri Berbasis Pengetahuan Digitalisasi dan Komunikasi Bisnis untuk MPPO-UMKM Kendal
Authors: Dewi Idah Kusuma , Satato Yuniarto Rahmad , Maryani Tri , Samtono Samtono
Published: January 2025

Community service activities for MPPO-UMKM Kendal aim to provide motivation and knowledge so that members of the community become stronger in the future by helping to identify self-quality, seize opportunities, manage, improve business skills, and similar aspects that allow for the reduction or resolution of common problems faced by MPPO-UMKM Kendal. And increasing awareness of MPPO-UMKM Kendal members about the development of their business so that it has a more important meaning as the main actor in the business world. The activity method is in the form of counseling using a lecture model and interactive discussion with MPPO-UMKM Kendal members. The results of the activity are in the form of increasing participant understanding of the importance of motivation to upgrade themselves through knowledge about digitalization and the need for proper communication in marketing their products. This will be followed up with the next activity because this community service is the first part of a series of community service activities for the MPPO-UMKM Kendal community.
Use of Blockchain Technology to Enhance Transparency and Efficiency in the Supply Chain, Leading to Cost-Effective Operations in Oil and Gas Midstream Sector
Authors: Oleru Augustine
Published: January 2025

This comprehensive research paper delves into the transformative potential of blockchain technology within the midstream oil and gas industry. It critically examines how blockchain can act as a pivotal force in augmenting transparency and operational efficiency. The study meticulously explores the multifaceted ways in which blockchain can simplify complex processes, curtail expenditures, and cultivate a collaborative ecosystem among diverse industry stakeholders. The ultimate objective of this scholarly work is to furnish an exhaustive analysis of blockchain's capabilities, thereby equipping industry professionals and academic researchers with profound insights that could spearhead a paradigm shift in midstream oil and gas operations.In the intricate and dynamic realm of the midstream oil and gas sector, the quest for enhanced transparency and efficiency is relentless. Blockchain technology emerges as a formidable contender in this pursuit, promising a revolution in the way operations are conducted. This paper scrutinizes the role of blockchain as a catalyst for change, focusing on its potential to overhaul existing paradigms and set a new benchmark for industry practices. Blockchain's decentralized ledger system offers an unprecedented level of clarity in operational proceedings. Companies can leverage this technology to monitor shipments with unparalleled precision, ensuring real-time visibility and traceability. The automation of contractual obligations via smart contracts stands to significantly diminish the time and resources dedicated to reconciliation processes. This technological innovation fosters a harmonious environment where disputes are minimized due to the immutable and transparent nature of blockchain records. The application of blockchain extends beyond mere tracking; it revolutionizes the transfer of custody and title of goods. By establishing a single source of truth, blockchain mitigates the risk of discrepancies and simplifies the exchange process. This aspect of blockchain is particularly salient in the context of digitizing crude oil transactions, where security, transparency, and efficiency are paramount. The pioneering initiatives by industry giants such as Natixis, IBM, and Trafigura in 2017 serve as a testament to blockchain's potential in redefining transactional protocols. The implications of integrating blockchain technology into the midstream oil and gas sector are profound. This research paper has illuminated the myriad ways in which blockchain can streamline operations, economize costs, and foster stakeholder collaboration. As the industry stands on the cusp of a technological renaissance, the insights provided herein are not only timely but also pivotal for those poised to navigate the evolving landscape of midstream oil and gas operations.
Analisis Sentimen Terhadap Opini Proyek Kereta Cepat Menggunakan Metode Naïve Bayes Classifier
Authors: Jabar Sanjaya  , Tukino  , Priyatna Bayu , Shofia Hilabi Shofa
Published: January 2025

Twitter merupakan satu dari banyaknya media sosial yang digunakan oleh hampir Sebagian besar masyarakat. Penggunaaan twitter umumnya digunakan untuk memposting sesuatu, seperti beropini tentang infrastruktur negara misalnya. Adapun salah satu infrastruktur negara yang sedang ramai diperbincangkan adalah proyek kereta cepat, masyarakat memiliki banyak pandangan tentang proyek ini. Untuk mengetahui opini masyarakat, tentang hal itu maka akan dilakukan Sentimen Analisis. Penelitian ini bertujuan untuk mengetahui penerapan Sentimen Analisis menggunakan metode Naïve Nayes Classifier pada opini masyarakat tentang proyek kereta cepat. Penelitian dimulai dari proses pengambilan data menggunakan teknik crawling dan mendapatkan kurang lebih 2007 tweet yang membahas proyek kereta cepat. Yang kemudian data dari hasil sentimen di preprocessing¸ lalu setiap data di labeling. Dari hasil labeling diterapkan metode naïve bayes classifier. Dari hasil penelitian ini menunjukan 57,23% masyarakat lebih dominan berkomentar atau beropini positif tentang proyek kereta cepat. Dan sisanya 42,77% beropini negatif. Adapun hasil evaluasi model Naïve Bayes yaitu, Presisi 81%, Recall 81%, F1-score 81%. dan kemudian Akurasi sebesar 81%.
Prediksi Harga Pangan di Tengah Isu Ketidakpastian Global Menggunakan Metode Regresi Linear dan Regresi Polinomial
Authors: Lubis Aidil Halim , Rizky Pulungan Miftahul
Published: January 2025

Pangan merupakan kebutuhan yang sangat dasar bagi manusia untuk dapat mempertahankan hidup dan untuk dapat menjalankan kehidupan selanjutnya. Pangan merupakan pondasi dasar dalam menentukan kehidupan atau keberlanjutan suatu pembangunan kehidupan.  Beras merupakan salah satu komoditi pangan yang penting dalam sendi kehidupan sosial ekonomi masyarakat Indonesia. Kondisi dunia yang tidak pasti pasca pandemi, perubahan iklim serta perang yang sedang terjadi membuat harga pangan terus terjadi perubahan. Prediksi adalah suatu proses memperkirakan secara sistematis tentang sesuatu yang paling mungkin terjadi di masa depan berdasarkan informasi masa lalu dan sekarang yang dimiliki. Regresi adalah salah satu metode yang memiliki dua variabel X dan Y mempunyai hubungan (korelasi), maka perubahan nilai variabel yang satu akan mempengaruhi nilai variabel lainnya. Dari penelitian yang dilakukan menggunakan dataset sebanyak 46 baris berupa bulan dan harga beras pada tahun sebelumnya mendapatkan hasil prediksi yang lebih baik menggunakan metode regresi polinomial dengan R2 sebesar 0,7776. Dengan MAPE sebesar 0,27%, ini menunjukan metode regresi polinomial lebih baik dari pada metode regresi linear dimana regresi linear menghasilkan nilai sebesar 0,08889.
Analytical Hierarchy Process Untuk Pemilihan Payment Gateway Pada E-Commerce
Authors: Susanto Erliyan Redy , Tyas Khoirunisa Cahyaning
Published: January 2025

Studi ini menggunakan metode Analytical Hierarchy Process (AHP) untuk menganalisis pemilihan payment gateway pada platform e-commerce. Melalui proses perbandingan berpasangan, enam kriteria utama, termasuk biaya transaksi E-Wallets, biaya transaksi Over The Counter, biaya transaksi Cardless Credit, ketersediaan E-Wallets, ketersediaan Over The Counter, dan ketersediaan Cardless Credit diidentifikasi dengan jelas. perbandingan berpasangan antara kriteria dan alternatif untuk menentukan bobot relatif, diikuti dengan penghitungan nilai eigen dan vektor eigen untuk menentukan bobot prioritas. Hasil Studi menunjukkan tingkat konsistensi yang baik dalam matriks perbandingan, memvalidasi keandalan metode AHP dalam pengambilan keputusan. Perangkingan alternatif payment gateway menunjukkan bahwa Doku adalah pilihan terbaik, selanjutnya adalah iPaymu, Faspay, Xendit, dan Midtrans. Analisis ini memberikan landasan yang kuat untuk meningkatkan efisiensi dan kualitas layanan e-commerce melalui pemilihan payment gateway yang optimal, serta menekankan pentingnya mempertimbangkan berbagai faktor dalam konteks pemilihan tersebut guna mencapai hasil yang optimal dan memuaskan bagi pelanggan dan pemilik bisnis.
Integrasi Infrastructure as Code dengan Continuous Integration/Continuous Deployment di Google Cloud Platform
Authors: Wayan Deden Setyawan , I Nyoman Piarsa , Buana Putu Wira
Published: January 2025

Integrasi IaC (Infrastructure as Code) dengan CI/CD (Continuous Integration/Continuous Deployment) membantu dalam menghasilkan perangkat lunak yang memiliki kualitas dan produktivitas yang tinggi. Pengujian yang dilakukan berupa perbandingan deployment infrastruktur secara manual dan otomatis dan menilai efektivitas dan efisiensi cara deployment. Pengujian untuk memastikan infrastruktur yang dibuat sudah berjalan dengan baik yaitu melakukan deployment aplikasi sederhana. Penelitian dimulai dari membuat desain infrastruktur, konfigurasi IaC Terraform, pembuatan script CI/CD, deployment infrastruktur dengan cara manual dan otomatis, konfigurasi aplikasi beserta CI/CD, dan deployment aplikasi. Rata-rata waktu yang dibutuhkan cara manual yaitu selama 13 menit 34 detik, sedangkan rata-rata waktu yang dibutuhkan cara otomatis yaitu selama 14 menit 5 detik. Nilai efektivitas yang diperoleh menunjukkan kedua cara tersebut berhasil dalam melakukan deployment infrastruktur, sedangkan untuk nilai efisiensinya, cara manual dan otomatis sama-sama memiliki kelebihan dan kekurangannya masing-masing. Aplikasi Go – Gin yang di deploy membutuhkan rata-rata waktu selama 3 menit 7 detik, sedangkan aplikasi PHP – Laravel membutuhkan rata-rata waktu selama 3 menit 8 detik. Aplikasi yang di deploy pada infrastruktur yang sama menunjukkan perbedaan waktu yang tidak jauh berbeda dan perbedaan konfigurasi aplikasi yang diperoleh yaitu pada Dockerfile dan file kubernetes object yang digunakan
Penggunaan LSTM dalam Membangun Prediksi Penjualan untuk Aplikasi Laptop Lens
Authors: Ghufron Tamami  , Arifin Muhammad
Published: January 2025

Laptop adalah alat penting yang mendukung fleksibilitas dan produktivitas dalam dunia bisnis, terutama pada bidang manajemen pengelolaan stok barang yang efektif. Peramalan penjualan menjadi aspek utama dalam melakukan manajemen stok barang, dan peramalan ini dapat membantu perusahaan untuk menentukan strategi masa depan agar tetap dapat bersaing. Pengelolaan stok barang yang efektif sangat penting untuk memastikan ketersedian produk sesuai dengan tren permintaan pasar, hal ini dapat membantu perusahaan untuk tetap mempertahankan keunggulan kompetitif mereka. Penelitian ini bertujuan untuk menguji model Long Short-Term Memory (LSTM) dalam melakukan peramalan penjualan dengan memanfaatkan data dengan format time series. Hasil peramalan nantinya akan dikategorikan menjadi tiga kategori, yaitu low-end, mid-end dan high-end. Pembagian kategori ini akan membantu keputusan suatu perusahaan yang bersifat strategis. Hasil evaluasi menunjukkan performa yang cukup bervariasi di setiap kategori. Pada kategori low-end, model mencapai Root Mean Square Error (RMSE) sebesar 91.2161 dan R-squared (R2) sebesar 0.8247, menunjukkan tingkat loss 91 unit dengan variasi 82.47% dari data penjualan. Untuk kategori mid-end, model menunjukkan performa sangat baik dengan RMSE sebesar 22.3920 dan R2 sebesar 0.9890, menandakan tingkat loss 22 unit dan variasi 98.90%. Pada kategori high-end, model mencapai RMSE sebesar 96.8210 dan R2 sebesar 0.8432, dengan tingkat loss 96 unit dan variasi 84.32%. Penelitian ini menunjukkan bahwa model LSTM efektif dalam memprediksi tren penjualan di semua kategori harga, sehingga dapat membantu perusahaan dalam manajemen stok dan perencanaan pemasaran yang lebih strategis.
Implementasi Enhancement Website Asosiasi Dosen Indonesia Dengan Metode Pengembangan Agile
Authors: Ainur Rony Muhammad , Dian Anggraeni Motika
Published: January 2025

Website resmi Asosiasi Dosen Indonesia (ADI) telah mengalami beberapa tantangan yang memerlukan pembaruan signifikan untuk mendukung berbagai proses yang esensial bagi organisasi. Meskipun website yang ada saat ini sudah berfungsi dengan baik, terdapat beberapa keterbatasan dalam mengakomodasi kebutuhan spesifik organisasi seperti penambahan dan pengubahan data universitas serta perubahan data anggota. Seiring dengan bertambahnya jumlah transaksi data anggota, kinerja website menunjukkan penurunan yang signifikan, memerlukan optimalisasi performa untuk menjaga efisiensi operasional. Selain itu, peningkatan pada aspek User Interface (UI) dan User Experience (UX) sangat diperlukan untuk memastikan pengalaman pengguna yang lebih baik, yang diharapkan dapat berkontribusi pada peningkatan jumlah pendaftaran anggota baru. Pengembangan website ADI bertujuan untuk mencapai beberapa sasaran utama. Pertama, menciptakan website yang sepenuhnya memenuhi kebutuhan organisasi saat ini, sehingga memudahkan pengurus asosiasi dalam mengelola anggota, baik baru maupun lama. Kedua, meningkatkan performa website agar memberikan pengalaman pengguna yang lebih baik dan responsif, yang pada akhirnya diharapkan dapat meningkatkan jumlah pendaftaran anggota. Pengembangan website ini akan dilakukan dengan menggunakan metode Agile. Pendekatan Agile dipilih karena memungkinkan iterasi dan perbaikan terus-menerus, serta responsivitas terhadap perubahan kebutuhan selama proses pengembangan. Hasil penelitian diharapkan dapat menjadi sebuah platform yang tidak hanya lebih efisien dan efektif, tetapi juga lebih ramah pengguna, mendukung pertumbuhan dan perkembangan organisasi di masa depan.
Implementasi Algoritma Random Forest Untuk Klasifikasi Pencemaran Udara di Wilayah Jakarta Berdasarkan Jakarta Open Data
Authors: Firdaus Rahmad , Habibie Husnul , Rizki Yoze
Published: January 2025

Pencemaran udara merupakan masalah dunia yang cukup memprihatinkan di beberapa negara, dan termasuk salah satunya di Jakarta. DKI Jakarta merupakan salah satu kota dengan peringkat tertinggi dalam kualitas udara yang terburuk di dunia. Algoritma Random Forest adalah pengembangan dari metode Classification and Regression Tree (CART) yang dapat meningkatkan hasil akurasi dalam membangkitkan atribut untuk setiap node yang dilakukan secara acak. Pada penelitian ini bertujuan untuk mengetahui Performa Algoritma Random Forest terhadap klasifikasi dalam data pencemaran udara wilayah Jakarta tahun 2016- 2021 dan untuk mendapatkan hasil klasifikasi dari Algorima Random Forest dalam klasifikasi pencemaran udara wilayah Jakarta tahun 2016-2021. Sehingga penelitian ini semoga dapat menjadi rujukan atau acuan bagi peneliti tentang algoritma Random Forest, dalam klasifikasi data Pencemaran Udara. Hasil performa model dari algoritma Random Forest, pada data train mendapatkan nilai precision, recall, dan F1-score yang sempurna yaitu 100% disemua kelas dan AUC juga sebesar 100%, lalu pada data test pada nilai precision untuk setiap kelas juga sangat tinggi yaitu 99%, dan AUC sebesar 99,96%. Hasil klasifikasi dari algoritma Random Forest mendapatkan akurasi pada data train sebesar 100% dan untuk data test mendapatkan akurasi pada data train sebesar 99,95%.
Eksperimen Pemodelan dan Skenario Faster R-CNN untuk Penerapan Self Checkout Cashier
Authors: Lauro Manatap Dolok , Lina  , Billy Marcelino  , Lorico Salim
Published: January 2025

Penelitian ini bertujuan untuk mengembangkan sistem self-checkout yang efisien dan hemat biaya untuk toko kelontong dengan memanfaatkan teknologi computer vision. Sistem yang diusulkan menggunakan Faster R-CNN, sebuah algoritma deep learning yang kuat, untuk mendeteksi dan mengenali produk secara real-time dari gambar yang diambil oleh kamera. Metode ini menghilangkan kebutuhan akan pemindaian barcode/QR code atau penggunaan tag RFID, sehingga mengurangi biaya operasional secara signifikan. Penelitian ini menggunakan 2.526 foto produk yang terdiri dari 10 kelas produk yang berbeda. Data ini dibagi menjadi data latih (2.026 foto) dan data uji (500 foto). Model Faster R-CNN dilatih menggunakan data latih dan kemudian dievaluasi kinerjanya menggunakan data uji. Hasil evaluasi menunjukkan bahwa model mampu mencapai akurasi hingga 84% ketika mendeteksi satu objek dalam satu frame. Namun, akurasi menurun menjadi 44% untuk tiga objek dan 12% untuk lima objek dalam satu frame. Meskipun terdapat penurunan akurasi pada skenario dengan banyak objek, penelitian ini menunjukkan potensi besar dari teknologi computer vision dalam meningkatkan efisiensi dan pengalaman berbelanja di toko kelontong. Penelitian lebih lanjut diperlukan untuk meningkatkan akurasi model dalam mendeteksi banyak objek secara bersamaan.
Peningkatan Performa Model Gradient Boosting dalam Klasifikasi Stroke Melalui Optimasi Grid Search
Authors: Handayani Susi , Fajrizal  , Taslim  , Toresa Dafwen , Syahril
Published: January 2025

This study investigates the effect of hyperparameter optimization with grid search on the XGBoost and LightGBM models in stroke classification. The research results show that parameter optimization significantly improves the performance of both models, especially in accuracy, precision, F1 Score, and ROC-AUC Score. In the XGBoost model, improvements are mainly seen in accuracy and precision, while LightGBM shows even improvements in all evaluation metrics. These findings underscore the importance of hyperparameter optimization in building effective classification models to predict stroke risk more accurately and reliably. These findings may contribute to further understanding of the factors that influence stroke and support more appropriate and effective treatment in clinical practice.
Implementasi Analytic Hierarchy Process untuk Pengukuran Lean Service di Universitas Pasir Pengaraian
Authors: Utami Urfi , Sabri Khairul
Published: January 2025

The increasingly competitive environment in higher education forces universities to innovate to survive and enhance their competitiveness. Lean Service, a management concept focused on efficiency and waste reduction, has been proven to improve service quality at a lower cost. This study aims to measure Lean Service at Universitas Pasir Pengaraian using the Analytical Hierarchy Process (AHP). This method is selected due to its ability to objectively assess criteria and alternatives. The study uses six main criteria: quality of academic services, quality of administrative services, availability of facilities, time management efficiency, student satisfaction, and waste reduction. The alternatives analyzed include academic services, administrative services, library and IT, campus facilities, and financial and payment services. The results show that academic services are the best alternative for implementing Lean Service at Universitas Pasir Pengaraian. The implementation of Lean Service is expected to improve management efficiency and service quality at the university.
Pengembangan Layanan Konseling Mahasiswa UIN Walisongo Semarang Berbasis Expert System
Authors: Fathoni Ahmad , Sahalana Manggala Putra , Nur Azizah Zakiah
Published: January 2025

In the era of Society 5.0, numerous aspects must be adjusted due to the current societal conditions, where the use of internet-based media such as laptops, smartphones, and tablets has become prevalent. Various services across multiple sectors have migrated from manual to digital formats. One of the services offered by the Faculty of Ushuluddin and Humanities (FUHUM) at UIN Walisongo Semarang is the laboratory, with one of its divisions being the FUHUM Therapy Center (FTC). This research develops a counseling service information system using an Expert System, a branch of Artificial Intelligence. The research was conducted using the Waterfall method to build a web-based system. Assessment was carried out using the DASS-21 scale, a brief standardized assessment consisting of 21 items that detect three types of mental health disorders: depression, anxiety, and stress. The system's output provides recommendations for self-therapy or meeting with a counselor based on the classification of students' mental health disorders. From the experiment conducted on 18 students, 4 (22.2%) were found to be in normal condition, 1 (5.6%) had mild disorders, 6 (33.3%) had moderate disorders, 6 (33.3%) had severe disorders, and 1 (5.6%) had very severe disorders. The implementation of this system is expected to contribute as a foundation for decision-making in designing strategic programs that support academic activities and enhance academic and student services.
Pengambilan Keputusan Penentuan Supplier Berbasis Pada Pengendalian Pasokan Akhir Menggunakan Logika Fuzzy Di IKM Kelana Roastery
Authors: Adawiyah Yusnita , Sakinah Siti Zulfa , Asyam Muhammad Fa'iq , S Dicky Irsa , Isnaini Abdurrahman Fadhilah
Published: January 2025

Kopi merupakan komoditas pertanian yang sangat diminati oleh masyarakat Indonesia, banyaknya jenis biji kopi dari berbagai daerah menjadikan komoditas ini sering dijumpai dalam berbagai industri di Indonesia. Penelitian ini bertujuan untuk mengendalikan stok biji kopi dan menentukan supplier pada Industri Kecil Menengah (IKM) Kelana Roastery menggunakan logika Fuzzy Mamdani dan Metode Analytic Hierarchy Process (AHP).Pendekatan Fuzzy Mamdani membantu dalam mengelola ketidakpastian dalam permintaan. Sementara itu, metode AHP berguna dalam menilai dan memilih pemasok dengan mempertimbangkan beberapa faktor-faktor penting.Faktor-faktor yang digunakan dalam penelitian ini antara lain, Kecepatan pengiriman, Kualitas Biji Kopi,Kemampuan Pemenuhan Order, Harga Biji Kopi, dan Kecepatan Respon Supplier.
Pengembangan Deteksi Objek Dalam Rumah Bagi Tunanetra Berbasis Optimasi YOLOv8 Menggunakan Metode Ghost Module dan Attention Mechanism
Authors: Mujahidin Syamsul , Insan Kamil Muhammad , Abdullah Riska Kurniyanto
Published: January 2025

Penyandang tunanetra sering menghadapi kesulitan dalam mobilitas sehari-hari karena keterbatasan alat bantu yang tersedia saat ini. Meskipun tongkat khusus dapat membantu dalam berjalan, namun masih sulit bagi mereka untuk mendeteksi objek secara real-time. Kemajuan dalam pengenalan objek berbasis citra, terutama dengan penggunaan machine learning, menawarkan solusi yang menjanjikan. Untuk mewujudkan sistem pendeteksi objek yang efektif, diperlukan menjalankan deteksi objek pada perangkat kecil seperti Raspberry Pi 4. Perangkat tersebut ringan dan kompatibel untuk kebutuhan mobilitas tinggi sehingga memberikan kenyamanan bagi penyandang tunanetra ketika melakukan aktivitas sehari-hari. Namun, keterbatasan kemampuan komputasi Raspberry Pi 4 menjadi tantangan, mengingat deteksi objek membutuhkan daya komputasi besar. Penelitian terbaru menunjukkan bahwa meskipun telah dilakukan optimasi pada model deteksi objek seperti YOLOv8, namun beban komputasinya masih cukup besar untuk diimplementasikan pada Raspberry Pi 4. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan model YOLOv8 versi nano dengan beban komputasi yang lebih ringan. Metode yang diusulkan melibatkan penggunaan ghost module, downsampling, dan attention mechanism. Hasil penelitian menunjukkan bahwa penggunaan ghost module dan downsampling efektif mengurangi GFLOPS model YOLOv8n dari 8.09 GFLOPS menjadi 1.77 GFLOPS, menurunkan waktu inference model hingga 57,6%, dari 401,56 ms menjadi 170,33 ms pada perangkat keras Raspberry Pi 4, tanpa mengorbankan performa deteksi. Selain itu, integrasi attention mechanism melalui attention max pooling meningkatkan akurasi model dengan peningkatan mAP sebesar 1,3% dibandingkan max pooling standar. Model ini berhasil memberikan deteksi yang lebih akurat dan efisien, menjadikannya solusi yang potensial dalam membangun sistem benam untuk membantu penyandang tunanetra dalam mendeteksi objek secara real-time.
Klasifikasi Jenis Jerawat Berdasarkan Citra Menggunakan Convolutional Neural Network dengan Arsitektur MobileNetV2
Authors: Br Sebayang Virna Dalira , Kusuma I Gusti Ngurah Lanang Wijaya
Published: January 2025

Among teenagers and adults worldwide, acne ranks as one of the most frequent skin concerns where each type of acne requires specific treatments. The proposed method in this study classifies five types of acne using deep learning. This methodology utilizes CNN architecture to specifically categorize different types of acne. The model used in this research adopts the MobileNetV2 architecture with transfer learning, consisting of several main layers: MobileNetV2 as the base model, Global Average Pooling, Flatten, Dense Layer, Dropout, and Softmax classification. The validation of the architecture utilizes secondary data consisting of 350 images. This dataset covers five different types of acne: Acne Fulminans, Acne Nodules, Papule, Pustule, and Fungal Acne, with each class containing 70 different samples. Challenges in automating this process include image lighting variations, image quality and data limitations. The CNN classification system shows performance rates of 89% for training and 80% for testing. The results indicatee that the proposed architecture can classify acne types with a reasonably good accuracy level, although there is room for improvement in model generalization.
Analisis Tingkat Kesiapan Teknologi Sistem Informasi Perpustakaan SMA Negeri 19 Palembang Menggunakan Framework ITIL V3
Authors: Triyunsari Desra , Negara Edi Surya , Herdiansyah M. Izman , Damayanti Nita Rosa
Published: January 2025

The library of SMA Negeri 19 Palembang implements SLiMS (Senayan Library Management System), an open-source software, since 2021 to support its services. SLiMS provides circulation facilities (book borrowing and returning), barcode usage, book classification, visitor statistics, and visitor data. According to the initial survey conducted by the author, not all available menu functions properly, such as visitor statistics and visitor data, which are not yet online and still recorded manually, leading to potential errors. Users perceive the readiness of the existing system functions as inadequate and not optimally usable. The results of the study show that the relationship between Service Strategy, Service Design, Service Transition and Continual Service Improvement has a very strong influence on the Service Operation of information system technology of the SMA Negeri 19 Palembang Library. The level of system readiness and user satisfaction can also be explained by the five variables used. From the results of the test and looking at the frequency of answers, it can be concluded that the information system technology of the SMA Negeri 19 Palembang Library can be well received in the school environment.
Pembuatan Aplikasi 3 Dimensi Berbasis Augmented Reality pada Praktek Kerja Milling
Authors: Haris Haris , Rahmat Hafiz  , Malinda Hasian  , Sicilia Afriyani
Published: January 2025

The use of Augmented Reality (AR) technology in vocational education has grown rapidly, providing new opportunities to support practical learning processes. This research aims to develop an AR-based 3-dimensional application that is used in milling work practices, a basic technique in machining. This application is designed to help students understand fundamental concepts, operating procedures, and how to use milling machines in a more interactive and in-depth manner. Through this application, students can view 3D models of milling machines and their components, learn work steps through interactive simulations, and get visual guidance in a real AR environment. The development methods used include requirements analysis, system design, software development, and evaluation. The research results show that this application is effective in increasing students' understanding of milling material, as well as facilitating a more interesting and efficient learning process. It is hoped that the implementation of this application can become a model for the development of other educational technologies in the field of machining engineering.
Representasi Aljabar dan Geometri Interaktif dalam Permasalahan Kinematika Invers PRoM-120
Authors: Adriyan Adriyan
Published: January 2025

PRoM-120 merupakan manipulator paralel ruang dengan derajat kebebasan tiga yaitu satu gerakan translasi dan dua gerakan rotasi pada end-effector-nya. Manipulator ini disusun oleh rantai kinematika 2(PRU)-PRS, dengan sambungan aktif berupa aktuator linier. Kajian yang disajikan dalam manuskrip bertujuan untuk menentukan jawab kinematika inversnya dengan menerapkan penyelesaian secara aljabar dan geometri interaktif. Penyelesaian secara aljabar memberikan jawab analitik tertutup kinematika invers. Sementara itu, penggunaan geometri interaktif melalui perangkat lunak GeoGebra dilakukan dengan menempatkan objek geometri seperti titik, garis, lingkaran, poligon, pada ruang kerjanya terlebih dahulu. Selanjunya, korelasi antar objek-objek ini dapat diekplorasi berdasarkan sifat-sifat geometri antar objek-objek ini, seperti perpotongan atau persinggungan. Sebagai konsekuensinya, jawab kinematika invers merupakan hasil ekplorasi sifat-sifat geometri antar objek geometri dalam bentuk titik potong atau titik singgung. Dengan demikian, metode geometri interaktif ini menghasilkan jawab dan visualisasi kinematika invers secara bersamaan tanpa harus menemukan jawab tertutupnya.
Analysis	of	of	sales	of	the main vehicle	vehicle brands in Guayaquil
Authors: Sánchez Bustamante Brithany Nahomy , Bastidas Jimenez Marcelo Javier
Published: January 2025

This study focuses on the analysis of the automotive market in Guayaquil during the year 2023, with the purpose of providing a comprehensive understanding of the factors shaping the dynamics of the sector. The analysis focuses on three main areas: consumer preferences regarding vehicle brands, the performance of the main brands in terms of sales volume, and the impact of import tariffs on the final price of automobiles. It investigates how consumers' purchasing decisions are influenced by aspects such as the brand, design, and technology of vehicles and how these preferences affect the competitiveness and success of brands in the market.
Excess of public procurement in emergency situations
Authors: Moreno Karina
Published: January 2025

The general objective of this research was focused on carrying out an analysis related to the overreaching of public procurement in emergency situations, taking into consideration that in this type of contexts multiple procurements are carried out in which the law allows a de-formalization of the usual requirements for the purpose of purchasing goods and services to ensure the main needs of the population. In order to comply with the purpose of this research, a methodology based on a legal, economic and financial legal analysis was chosen, linked to the overreaching of public procurement in emergency situations. The results of the research allowed us to determine that in emergency situations, in most cases the de-formalization of contracting requirements, instead of benefiting the acts to be carried out in a better way, lead to acts of corruption, since public officials end up awarding contracts to people close to them for their own benefit.
Matrix of forgotten effects in the financial context of banks and cooperatives in Ecuador at the time of investment
Authors: Ordóñez Parra Yanice , Lucín Veliz Stella , Zamora Zamora Geovanny , Villalpando Cadena Paula
Published: January 2025

Financial institutions serve as entities that provide services to families, businesses and government agencies. The objective of the research is to determine the optimal investment strategy for the stakeholders. Therefore, two techniques of data collection and detailed analysis were employed by calculating correlations and least squares estimations. Concomitantly, an expert approach using fuzzy logic was used to identify the best financial strategy. This comprehensive methodology identified financial patterns, providing accurate recommendations for decision making and boosting the Ecuadorian financial sector. This approach laid the groundwork for effective and central strategies such as simplifying contact channels and efficiently optimizing the time invested in the processes, channeling them towards the continuous improvement of the financial sector and offering better benefits to users.
The Effect of Discipline, Motivation, and Competence on Employee Performance Productivity in the Office Environment of the Class III Japura Airport Operator Unit
Authors: Komala Yoga , Ali Hapzi
Published: January 2025

This study aims to determine whether discipline, motivation, and competence have a linear effect on employee performance and productivity at the Class III Japura Rengat Airport Operator Unit Office. This research model connects independent variables with dependent variables. Research objects are obtained from online sources such as Google Scholar and other online educational media. The method used is the research method using systematic literature review and library research with the use of Artificial Intelligence (AI)) to produce research according to the theme taken from e-books and open access journals. The output of this article is: 1) Discipline affects employee performance productivity; 2) Motivation affects employee performance productivity; and 3) Competence affects performance productivity.
Exploration of Public Perceptions of Illegal Immigration in South Africa: Attitudes, Influences, and Crime-Immigration
Authors: MAGADZE Tshimangadzo Oscar , NETSHIDZIVHANI Mmbengeni Victor
Published: January 2025

This study explored public perceptions of illegal immigration in South Africa, focusing on attitudes, influencing factors, and the relationship between immigration and crime. To realise this purpose, a quantitative research approach was employed, and a cross-sectional survey was conducted among 490 respondents aged 18 and above. Structured questionnaires were used for data collection, and descriptive and inferential statistical analyses were performed using SPSS version 29.0. Key demographic characteristics such as age, education, and income were assessed, along with respondents' views on the impact of illegal immigration on service delivery, job competition, and cultural integration. Binomial logistic regression analysis was conducted to identify significant predictors of illegal immigration attitudes. The results reveal that age and education level are the strongest predictors of positive attitudes towards illegal immigration, while South African citizenship is associated with more negative perceptions. The findings highlight the complexity of public attitudes towards immigration, which are shaped by various demographic and socio-economic factors. Illegal immigration is perceived by some as a socio-economic factor contributing to crime and other illegal activities, although a significant portion of the population views it positively.
Intrusion of Aquatic Invasive Plant Echinodorus cordifolius L. in Bangladesh
Authors: Naz Sabrina , Kabir Samanja
Published: January 2025

The present study's findings confirm the introduction of Echinodorus cordifolius L. in Bangladesh. The plant was found to compete with the natural flora in the Jessore district with Eichhornia crassipes, Colocasia esculenta, Enhydra fluctuans, Bacopa monnieri, and Ficus hispida. Throughout the study period, it was reported from 16 districts of Bangladesh, viz. Rajshahi, Pabna, Mymensingh, Jessore, Naogaon, Chapainawabganj, Joypurhaat, Rangpur, Dinajpur, Dhaka, Chittagong, Comilla, Tangail, Khulna, Rajbari and Sylhet as an ornamental plant. The plant has gained popularity among aquatic gardeners and aquarium hobbyists. The Ex situ cultivation of the plant was carried out outdoors. In the aquarium, it revealed the plant has the adaptive capacity to undergo flowering around the year and carry vegetative as well as sexual reproduction outdoors. In the aquarium, it exhibited vegetative propagation. It was found to grow and reproduce at a temperature range from 6-44 °C and a pH range from 7.8-9.0. The plant is detected as invasive and a significant threat to Bangladesh's aquatic and marshy plant diversity. Safeguarding should be undertaken to stop the spread of this plant by creating awareness, and its production should be carried out in a confined manner by the concerned growers.
Exploring Gelatin Films for Environmental Applications: Challenges and Opportunities
Authors: Bhardwaj Nikita , Jaiswal Harshi , Maitra Jaya
Published: January 2025

In this study, gelatin films were prepared by dissolving gelatin in distilled water with mechanical stirring, followed by casting the solution into films. The biodegradability of these films was confirmed through soil burial tests, and their rapid dissolution in water was evident, with a measured water solubility of 29±1.6%. The structural integrity and thermal stability of the films were characterized using UV and FTIR. The films exhibited significant UV-visible light absorbance, with a peak at 300 nm within the 280 to 480 nm range. FTIR spectra revealed the characteristic amide peaks of gelatin, indicating the presence of key functional groups. This research also highlighted the films' ability to adsorb copper ions from acidic solutions, as demonstrated by iodometric titration, and to treat hard water through complexometric titrations. These findings illustrate the potential of gelatin films as effective adsorbents for copper ions and water hardness, making them promising candidates for environmental remediation and wastewater treatment. The study highlights rapid water solubility as a critical limitation of gelatin films, restricting their functionality in aqueous and humid environments. Addressing this challenge could significantly enhance their stability and expand their potential applications in environmental remediation and water treatment technologies.
The Jews of Lemberg between the Viennese
Kaffeehaus
and the Polish
Kawiarnia
Authors: Bechtel Delphine
Published: January 2025

Lemberg, as part of the Austro-Hungarian empire, appropriated Viennese coffee-house culture, and Jews played a major role in the process as owners and customers. Located at the crossroads of consumption, sociability, and leisure culture, the cafes constituted an essential melting pot. They were also the locus of the invention of new forms of entertainment, in which Jewish entrepreneurs mediated between languages and highbrow and lowbrow cultures. They were thus hybrid and multifunctional places, at the intersection of Jewish, Viennese, and Warsaw cultures. They offered gastronomy and education and functioned as social aggregator, games room, and venue for music, dance, and popular shows. They became a place of artistic effervescence and cultural ferment, a launching pad for many artists who later appeared on the radio and in the cinema.
Mecklenburg-Poland: The Emotional History of a Jewish Hyphen, 1750–1800
Authors: Maksymiak Małgorzata
Published: January 2025

The focus of this chapter is the proximity of Mecklenburg and Poland, which has attracted little research. It is less about the structural similarities between the two states than about the Jewish connection—the ‘Jewish hyphen’—between the Mecklenburg duchies and the Kingdom of Poland–Lithuania in the second half of the eighteenth century. Consequently, the chapter focuses on the establishment of Mecklenburg-Poland as a Jewish emotional space of experience which emerged in the course of Jewish migration from the Polish territories to Mecklenburg beginning in the eighteenth century. This opens up the possibility of taking a closer look at the ongoing encounters of Polish Jews with their co-religionists in the German lands and the Jewish and non-Jewish origins of the later image of the Ostjude.