This study is motivated by the declining revenue of Kaliwungu Printing every month, which is caused by the inconsistency in product promotion. As a result, the lack of regular and comprehensive promotional efforts has led to limited public awareness of Kaliwungu Printing. The purpose of this research is to develop a structured and comprehensive promotional tool to showcase the products offered by Kaliwungu Printing.
This research employs a qualitative method to obtain accurate and relevant data. Data collection techniques include observation, interviews, and questionnaires. The respondents consist of media experts, content experts, and a group of five employees from Kaliwungu Printing. The validity of the data is measured using the rating scale method proposed by Sugiyono. The results of the study show a score of 30 from media experts, 36 from content experts, and an 84% validity rate from the group assessment. Based on the overall evaluation indicators, these results fall into the "very good" category. Thus, the study concludes that the proposed promotional tool is suitable for implementation and can be utilized effectively

Employee performance appraisal at Baitul Hikmah Main Clinic still uses the conventional method by filling out forms & manually calculated. The head of the unit assesses the performance of each of its members from aspects or competencies for which there are no assessment indicators determined. This makes unit to evaluate each of its members as a result the evaluation process is considered less effective and causes subjective evaluations and causes cases between employees, for employee assessment to facilitate performance appraisals. The author makes an employee performance appraisal application using the Naive Bayes method easier to provide performance appraisals.

KSU Makmur Mandiri is a business-store cooperative located in the village of Yosorejo Rt. 03 Rw. 03, Gringsing District, Batang Regency and was established on August 14, 2008 with the Legal Entity Number 518.21 / 142 / BH / XIV / VIII / 08. This cooperative in conducting more operations do credit transaction or credit sales rather than savings, in this case the credit sales of the company has a large amount of receivables, in the transaction receivables are often still a lot of troubled receivables, are due but still not pay, the existence of bad debts that accumulate. The absence of internal controls on accounts receivable causes many problems in report generation. The calculation of the amount of receivables is still manual, so it takes a long time to obtain the data and there is no debtor loan history. The Company requires internal control of the receivables, to obtain accurate information on the troubled receivables, the action that a company can take is to prepare the criteria for the length of the receivables, which until now can not be collected, using the age method of receivables based on the period of time. The purpose of this research is to design an information system with age method of receivables, to receivables that have matured but have not paid and calculate the amount of bad debts, and age of delay of receivables quickly and accurately.

Employee engagement is a crucial factor in organizational success, particularly in the dynamic and competitive technology sector. Traditional approaches, such as financial incentives, often fail to create sustainable intrinsic motivation, necessitating innovative solutions such as gamification. This study aims to analyze the role of gamification in enhancing employee engagement through the implementation of digital platforms in medium-sized technology companies. The research employs a case study methodology with a qualitative approach, involving in-depth interviews with 15 informants, including employees and managers, as well as user activity data analysis from the gamification platform. The findings indicate that gamification significantly improved employee engagement, with the proportion of employees exhibiting "High" engagement levels increasing from 25% to 60%, and "Very High" levels rising from 10% to 35%. Conversely, the "Very Low" category decreased from 15% to 5%. These results suggest that gamification elements such as rewards, challenges, and team collaboration fulfill employees’ psychological needs and create a more dynamic and productive work environment. This study contributes to the literature by providing insights into the effectiveness of gamification in the technology sector and offering practical recommendations for organizations to design relevant and sustainable gamification platforms. In conclusion, gamification is a promising strategy for enhancing employee engagement, provided that its elements are tailored to individual preferences and the technological readiness of the organization

The security of electronic banking transactions is becoming increasingly critical due to the rising threat of cyberattacks, which can result in financial and reputational damage to financial institutions. Despite the implementation of various authentication methods, vulnerabilities remain that can be exploited by attackers, particularly in the context of static passwords and tokens. This study aims to address these shortcomings by implementing the Two-Way Challenge-Response method, which offers a more robust and dynamic authentication approach. The method employed in this research involves the exchange of information between the client and server, where the challenges generated are unique to each authentication session. This process not only validates user identities but also ensures that the transmitted information cannot be predicted by third parties. The results of the study indicate that the application of this method significantly reduces the risk of attacks such as identity theft and replay attacks, while also enhancing the speed and efficiency of the authentication process. The implications of these findings suggest that the Two-Way Challenge-Response method can be an effective solution for enhancing the security of electronic banking transactions. By adopting this method, financial institutions can strengthen their security systems, increase user trust, and reduce the potential for losses due to cyberattacks. This research contributes significantly to the development of more secure authentication systems in the digital age

The rapid growth of the tourism industry, coupled with the increasing reliance on mobile technology, necessitates the development of intelligent applications that enhance user experience through personalized recommendations. This research investigates the application of machine learning techniques, specifically Collaborative Filtering and Content-Based Filtering, to create a mobile tourism application that addresses the challenges of providing relevant and tailored suggestions to users. The primary objective of this study is to improve user satisfaction and engagement by delivering precise recommendations based on individual preferences and behaviors. To achieve this, the research employs a mixed-methods approach, combining quantitative data analysis from user interactions and qualitative assessments of user feedback. The study utilizes datasets sourced from reputable platforms, including user ratings and demographic information, to train the recommendation algorithms effectively. The evaluation of the implemented system demonstrates a significant increase in recommendation accuracy, leading to enhanced user satisfaction and increased visitation rates to tourist attractions. The findings indicate that the integration of Collaborative Filtering and Content-Based Filtering not only optimizes the personalization of recommendations but also fosters user loyalty and engagement with the application. By leveraging machine learning techniques, tourism providers can better understand user preferences, ultimately leading to a competitive advantage in a crowded market. This study contributes to the ongoing discourse on the intersection of technology and tourism, offering valuable insights for future research and application development in this dynamic field.

Koperasi Simpan Pinjam Sumekar menghadapi kendala dalam penyusunan pelaporan keuangan yang sesuai standar, tidak mengetahui berapa keuntungan murni yang didapatkan, kurang pahamnya pengetahuan dasar pencatatan keuangan dan kurang pahamnya pengetahuan mengenai aplikasi keuangan berbasis digital. Tujuan pengabdian masyarakat ini meningkatkan pemahaman pengetahuan dasar pencatatan keuangan dan meningkatkan kemampuan mengoperasikan aplikasi keuangan melalui edukasi dan pelatihan penyajian laporan keuangan berbasis digital. Pengabdian masyarakat melibatkan para pengurus Koperasi Simpan Pinjam Sumekar, Kecamatan Ngampilan Yogyakarta sebagai objek penelitian. Metode yang digunakan dalam pelatihan adalah metode luring, langsung tatap muka & pendampingan yakni dengan menganalisis dan problem solving. Materi pembukuan keuangan disajikan dengan ceramah, tanya-jawab, dan demonstrasi. Materi tersebut dibuat dengan sederhana dan menarik sehingga materi pembukuan keuangan mudah dipahami KSP Sumekar. Selanjutnya proses pencatatan dimulai dengan contoh transaksi sederhana secara manual, pembuatan laporan keuangan dan dilanjutkan demontrasi pencatatan keuangan dengan menggunakan aplikasi akuntansi. Hasil pelatihan dan pendampingan literasi finansial pelaporan keuangan melalui aplikasi akuntansi ini diharapkan berjalan dengan baik, serta terjadi peningkatan pemahaman mengenai pengetahuan dasar pencatatan keuangan dan peningkatan pemahaman mengenai pengoperasian aplikasi akuntansi.

Technology and science are currently developing very rapidly, so that every business world, organization and other fields need fast, accurate and precise information. The data obtained will be distributed evenly so that it can fulfill information requests. The use of computer technology in business or office environments, both government and private, is no longer something strange. Especially in large companies, the use of it technology will help reduce workload. Astra motor weleri, a commercial company that sells honda brand motorbikes. Astra motor weleri is one of the largest dealers in kendal regency so there is quite a lot of stock at the dealer. With so many motorbikes in stock, stocking errors sometimes occur during the sales process, resulting in frequent cancellations of orders or what is usually called do delivery orders. Sellers also have difficulty marketing to consumers because consumers find it difficult to see automotive products. For example, a seller must send every photo to consumers who want to buy a car. According to the author, it is less effective. Apart from that, the car buying process from the consumer side is also too complicated because it takes a lot of time, both in cash and credit. With so many motorbikes being sold, using a manual sales system is deemed less effective.

Tujuan Utama: Tujuan dari penelitian ini adalah untuk mengembangkan algoritma deteksi anomali yang lebih efektif dan akurat menggunakan Extended Isolation Forest (EIF) dan mengimplementasikannya ke dalam platform sumber terbuka Machine Learning (ML) H2O-3. Background problem: Algoritma Isolation Forest (IF) asli menghadirkan bentuk deteksi baru, meskipun algoritme mengalami bias yang berasal dari percabangan pohon. Perpanjangan algoritme menghilangkan bias dengan menyesuaikan percabangan, dan algoritme asli hanya menjadi kasus khusus. EIF diimplementasikan ke dalam platform sumber terbuka ML H2O-3. kebaharuan: Kebaruan dari penelitian ini adalah penggunaan algoritma EIF dalam deteksi anomali. Selain itu, penelitian ini juga mengimplementasikan EIF ke dalam platform sumber terbuka ML H2O-3 untuk dijalankan pada sistem komputasi terdistribusi dengan pustaka Map/Reduce. Research Method: Penelitian ini menggunakan metode deteksi anomali dengan fokus pada algoritma EIF.  temuan: Hasil pengujian menunjukkan bahwa Extended Isolation Model perlu disesuaikan. Tes kinerja deteksi anomali mengungkapkan sedikit ketidaksempurnaan dalam deteksi struktur data jika dibandingkan dengan satu-satunya implementasi algoritma Python yang tersedia. Hasil ujian untuk tahap evaluasi dinyatakan lulus dan waktu komputasi secara logaritmik lebih kecil dengan jumlah utas.  Kesimpulan: pada penelitian selanjutnya, algoritma dapat ditingkatkan lebih lanjut dengan menskalakan anomali deteksi untuk data dimensi tinggi. Ini dapat diimplementasikan dengan menambahkan parameter lain yang memungkinkan metode pemilihan fitur dalam perhitungan..

Penggunaan beberapa bahasa pemrograman selama perangkat lunak berkembang adalah praktik umum dalam pengembangan perangkat lunak modern. Akan tetapi, penggunaan bahasa yang berbeda yang dapat memengaruhi pengembang produktifitas justru belum banyak diketahui. Studi yang disajikan dalam penelitian ini mereplikasi kontrol acak percobaan yang menyelidiki penggunaan beberapa bahasa dalam konteks pemrograman basis data tugas. Partisipan dalam penelitian ini diberi tugas pengkodean yang ditulis dalam Java dan salah satu dari tiga bahasa tertanam mirip SQL: SQL biasa dalam string, hanya metode Java, bahasa tertanam hibrid yang lebih mirip dengan Java. Selain merekam tanggapan kuesioner online dan solusi peserta terhadap tugas, gerakan mata peserta juga direkam menggunakan eye tracker. Eye Tracker sebagai metode untuk studi pengembangan perangkat lunak telah berkembang dalam beberapa tahun terakhir dan memungkinkan untuk mendapatkan informasi yang lebih mendalam tentang bagaimana pengembang menyelesaikan tugas pemrograman. Metode Eye tracking ini digunakan sebagai metode pengumpulan data dalam penlitian ini. Data pelacakan mata dikumpulkan dari 31 peserta (dari akademisi dan industri) untuk masing-masing dari enam tugas pemrograman yang berbeda. Untuk membandingkan efek variabel antar kelompok kelompok dan pengalaman profesional dan variabel tugas dalam kelompok pada variabel terikat Waktu dala peneyelesaiinya, penelitian ini menggunakan ANOVA model campuran. Hasil penelitian ini menunjukkan bahwa, efek signifikan pada produktivitas tidak ditemukan, ini berbeda dengan penlitian awal karena bahasa yang digunakan. Namun, efek yang sama ditemukan dari pengalaman peserta terhadap produktivitas pemrograman menunjukkan bahwa programmer yang lebih berpengalaman mampu menyelesaikan tugas pemrograman poliglot dengan cara yang lebih efisien. Selain itu ditemukan bahwa semua peserta melihat kode sampel dengan persentase waktu yang sama untuk tugas yang diberikan terlepas dari pengalaman atau varian bahasa yang diberikan. Perilaku navigasi tingkat atas juga sebagian besar tetap tidak berubah di seluruh pengalaman atau varian bahasa. Secara keseluruhan, dapat disimpulkan bahwa tingkat pemrograman poliglot tidak memiliki efek yang signifikan seperti tugas itu sendiri. Tingkat tinggi strategi yang digunakan peserta tampak serupa terlepas dari varian bahasa yang diberikan kepada mereka. Sebagai saran untuk penelitian dimasa depan, efek dari berbagai jenis pemrograman polyglot bahasa harus dipelajari secara mendalam untuk kesimpulan yang dicapai tetap benar di berbagai konteks pemrograman poliglot.