Abstract:This study aims to design the warehouse tata letak at PT MIKRON PRESISI INDONESIA that experiences post-relocation irregularities in production facilities, along with adjustments to the area area and available rental costs.…
ts. The absence of a racking system and clear classification of goods has caused the storage, retrieval, and work safety processes to not run efficiently. The research approach uses a qualitative descriptive method by collecting data through field observations, interviews, and documentation. The tata letak design was carried out by implementing the Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD) methods, then tested through simulations using FlexSim software with two operator scenarios. The simulation results showed that the proposed alternative tata letak design was able to improve the workflow by grouping goods into seven categories and arranging shelves based on the level of proximity of activities. However, the utilization rate of operators is still relatively low, namely 17.65% and 19.78%, due to the periodic pattern of goods arrival and efficient search times due to a more structured storage system. These findings indicate opportunities for human resource optimization through reducing the number of operators or adjusting workloads. The resulting tata letak design makes a practical contribution to improving warehouse space efficiency and operations, and can be used as a reference for applications for companies with similar characteristics.
Abstract:Blood group examination is a blood grouping system based on the type of antigen. Examination of blood groups with antisera reagents, namely examination of blood groups with antisera reagents obtained from in vitro supernatant…
atant cultures derived from mouse cell immunoglobulin hybridization. Examination of blood type with serum is an examination that uses blood type A as anti-B, blood type B as anti-A, and blood type O as anti-AB. The purpose of this study was to determine the profile of the ABO system blood group examination using antisera reagents and serum slide method. The research method used was descriptive with samples of the ABO system blood group using antisera and serum reagents for 30 respondents using probability sampling technique. The materials used are human blood groups A, B, AB and O and anti-A, anti-B, anti-AB reagents. Data analysis was descriptive in the form of a profile table of the results of the ABO system blood group examination using antisera and serum reagents. The results of the study revealed that the results of blood group A were 7 (23%), blood group B were 7 (23%), blood group AB were 8 (27%), and blood group O were 8 (27%). The results obtained showed that the antisera and serum reagents had differences in the blood group examination results, namely the grade of agglutination produced by the serum was different from that of the antisera. It can be concluded that the results of blood grouping with antisera and serum reagents can be used for blood group examination. However, compared to antisera reagents, the results are better using antisera reagents compared to serum.
Abstract:Advances in digital technology have brought significant changes to organizational activities; however, they have also increased the risk of technology-based fraud, such as cyber fraud, data manipulation, phishing, and misuse…
suse of information systems. These conditions require organizations to strengthen the internal audit function as a critical component of internal controls and fraud prevention. This study aims to theoretically examine the role of internal audit in preventing fraud in the digital era. The research method used is a systematic literature review (SLR) by collecting and analyzing various relevant national and international journals from 2020 to 2026. The analysis process was conducted using qualitative descriptive methods through the identification, selection, and grouping of research findings based on discussion themes. The research findings indicate that internal audit plays a strategic role in identifying risks, conducting oversight, evaluating the effectiveness of internal controls, and supporting the implementation of good corporate governance. The utilization of audit technologies, such as data analytics, continuous auditing, and digital-based monitoring systems, has proven capable of enhancing the effectiveness of fraud detection and prevention more quickly and accurately. This study also found that the digital competencies of internal auditors and the company’s readiness to strengthen its internal control systems are key factors in supporting the effectiveness of internal audits in the digital age. The implications of this study suggest that organizations need to enhance the competencies of internal auditors and strengthen technology-based internal controls to address increasingly complex digital fraud risks.
Abstract:This study aims to analyse the administration of fasakh judgments in the dissolution of Muslim marriages in Indonesia and Malaysia, with specific attention to the legal bases, registration procedures, and issuance of divorce…
orce documents. This issue is significant because the dissolution of marriage does not end with a court judgment. It continues through administrative registration, which determines the legal status of the parties after divorce. This study adopts a qualitative approach with a documentation-based comparative case study design. Data were collected through an examination of statutory regulations, judicial technical guidelines, official service procedures, institutional documents, and administrative information applicable to the Religious Courts in Indonesia, as well as the Syariah Courts and State Islamic Religious Departments in Malaysia. This study does not involve interviews or participants because its focus is directed toward the objective mapping of applicable administrative procedures. The data were analysed using a comparative thematic approach by grouping the findings into three main themes: the legal basis of judicial authority, post-judgment registration procedures, and the forms of divorce documents issued. The findings show that Indonesia integrates the issuance of divorce certificates into the administration of the Religious Courts, whereas Malaysia places the issuance of Islamic divorce certificates within the institutional relationship between the Syariah Courts and the State Islamic Religious Departments. These findings affirm that fasakh is not merely a juristic concept or a ground for marital dissolution, but also forms part of the legal documentation system of Islamic family law. This study contributes to the development of comparative Islamic family law scholarship and provides a basis for mapping Muslim divorce administration policies in both countries.
Abstract:This article examines the role of environmental law as a key instrument in sustainable tourism development in South Lampung Regency. Tourism significantly contributes to regional economic growth through increased investment,…
ent, employment opportunities, and community welfare. However, the development of this sector is often accompanied by environmental degradation due to weak ecologically sound management. This research uses normative legal methods with legislative, conceptual, and comparative legal approaches to analyze the role of environmental law as an instrument for realizing sustainable tourism in South Lampung.
The research method used in this study is a qualitative approach with a library research method with a normative legal approach. This research is qualitative normative, which emphasizes the analysis of legal norms. Data collection techniques are carried out through documentation analysis by identifying, reviewing, and interpreting legal sources, relevant literature, legal sources used include, Books, Law Number 32 of 2009 concerning environmental protection and management, Law Number 10 of 2009 concerning Tourism, and Government Regulation Number 27 of 2012 concerning Environmental Permits. Then a descriptive-analytical and thematic analysis is carried out, by grouping data into main themes and then drawing conclusions from a general to specific problem, in this case regarding Environmental Law as an Instrument for Realizing Sustainable Tourism in South Lampung.
The results of this study indicate that environmental law plays a fundamental role as a controlling instrument in realizing sustainable tourism in South Lampung Regency. Through the implementation of legal instruments such as environmental impact analysis (EIA), environmental permits, the precautionary principle, and the enforcement of legal sanctions, tourism activities can be directed to prevent ecosystem damage.
Abstract:Everbright has become one of the distributing companies selling various products, one of which is the Dettol product. In optimizing the stock and marketing of Dettol products, the company faces difficulties in identifying…
g the best-selling products and those less favored by customers. This research data originates from the sales transaction data of Dettol soap in November, comprising 77 sales data. Through the use of data mining, particularly the K-means Clustering method, it becomes a relevant approach to solving this issue. The objective of this research is to avoid excess inventory that remains unsold while meeting the diverse needs of customers. The results of this study show the visualization of the distribution of Dettol soap product clusters and grouping based on sales levels. There were 21 best-selling item data, 31 well-selling item data, and 25 less popular item data, enabling the company to manage inventory based on the best-selling items.
Abstract:Abstract: Asahan District Library Service is a growing regional public library and is always making improvements, improvements, and trying to maintain the quality of its services. This is evidenced by the provision of services…
rvices such as borrowing and returning books (circulation), and adding to the book collection every year. Knowing and understanding visitors' reading interests is the main key in improving the quality of library services. However, managing reading interest from various levels of society is not an easy task. Each individual has different reading preferences and interests. Therefore, a systematic and efficient approach is needed in identifying reading interests to be able to manage the addition of book collections. Currently, in the process of adding a book collection, the library only makes employee recommendations, and the latest books, as a reference in increasing the number of book collections, without considering which books are most in demand to increase the collection. This can have a negative impact if there is an addition to the collection of books that are not in demand to read, which can cause problems in terms of service and finance. Based on this, the application of data mining, especially the K-Means method, will be carried out, to support the management of book collection additions, by grouping the reading interests of library visitors who have the same identity, so that libraries are more precise in managing book collections in grouping books that are rarely borrowed, often borrowed and very often borrowed.
Keywords: visitor reading interest; k-means method; library; data mining; book collection
Abstrak: Dinas Perpustakaan Kabupaten Asahan merupakan perpustakaan umum daerah sedang berkembang dan terus memperbaiki, membenahi, dan meningkatkan layanan. Diberikannya layanan seperti pinjaman dan sirkulasi, dan penambahan koleksi buku setiap tahunnya. Mengetahui dan memahami minat baca pengunjung menjadi kunci utama dalam meningkatkan kualitas layanan perpustakaan. Namun, mengelola minat baca dari berbagai lapisan masyarakat bukanlah tugas yang mudah. Setiap individu memiliki preferensi dan minat baca yang berbeda-beda. Oleh karena itu, diperlukan suatu pendekatan yang sistematis dan efisien dalam mengidentifikasi minat baca untuk dapat mengelola penambahan koleksi buku. Saat ini, ketika perpustakaan meningkatkan koleksi bukunya, mereka hanya bergantung pada rekomendasi karyawan dan buku terkini untuk menambah jumlah buku. Mereka tidak mempertimbangkan buku mana yang paling diminati untuk menambah koleksi mereka. Hal ini dapat berdampak negatif jika terdapat penambahan koleksi buku yang kurang diminati untuk dibaca, yang dapat menimbulkan masalah dari sisi pelayanan maupun finansial. Berdasarkan hal tersebut maka akan dilakukan penerapan data mining khususnya metode K-Means, untuk mendukung pengelolaan penambahan koleksi buku, dengan cara mengelompokkan minat baca pengunjung perpustakaan yang memiliki kesamaan identitas, sehingga perpustakaan lebih tepat dalam mengelola koleksi buku dalam mengelompokan buku yang jarang dipinjam, sering dipinjam dan sangat sering dipinjam.
Kata Kunci: minat baca pengunjung; metode k-means; perpustakaan; data mining; koleksi buku
Abstract:bstract: Disease is an abnormal condition in which the body or mind experiences discomfort or dysfunction in the person it affects. Every day the number of people suffering from infectious diseases always increases with…
different types of diseases. Therefore, there is a need for a grouping to help the government find information about the diseases most commonly suffered by citizens. In this research, patient disease data was grouped using multidimensional clustering data mining techniques. K-Means Clustering is a non-hierarchical data clustering method that groups data in the form of one or more clusters. Data that has the same characteristics is grouped in one cluster and data that has different characteristics is grouped in another cluster so that the data in one cluster has a small level of variation. This research aims to make the government pay more attention to areas that have high rates of infectious diseases both from the environment and other things. The results of research from 34 provinces and 8 infectious diseases show data where 32 areas are very vulnerable, 2 areas are vulnerable and 2 areas are quite vulnerable.
Keywords: Data Mining, Disease Cases, K-Means
Abstrak: Penyakit adalah suatu keadaan abnormal dimana tubuh ataupun pikiran mengalami ketidaknyamanan atau disfungsi terhadap orang yang dipengaruhinya. Setiap harinya jumlah warga yang menderita penyakit menular selalu bertambah dengan jenis penyakit yang berbeda. Oleh sebab itu, perlu adanya pengelompokan untuk membantu pihak pemerintah menemukan informasi mengenai penyakit yang paling banyak diderita oleh warga. Pada penelitian ini dilakukan pengelompokkan data penyakit pasien menggunakan teknik data mining clustering multidimensi. K-Means Clustering merupakan salah satu metode data clustering non-hirarki yang mengelompokkan data dalam bentuk satu atau lebih cluster. Data-data yang memiliki karakteristik yang sama dikelompokkan dalam satu cluster dan data yang memiliki karakteristik berbeda dikelompokkan dengan cluster yang lain sehingga data yang berada dalam satu cluster memiliki tingkat variasi yang kecil. Penelitian ini bertujuan agar pemerintah lebih perhatian terhadap daerah yang memilki angka tinggi terhadap penyakit menular baik dari lingkungan maupun dari hal lainnya. Hasil dari penelitian dari 34 Provinsi dan 8 Penyakit menular menunjukkan data dimana 32 daerah dengan sangat rawan, 2 daerah rawan dan 2 daerah cukup rawan.
Kata kunci: Data Mining, Kasus Penyakit, K-Means
Abstract:Abstract: Ethics is a basic character possessed by a person in reflecting his daily life. Ethics is a picture of a person's behavior and behavior in activities in a social environment. As is the case in the world of work,…
, professional ethics is highly respected because it characterizes one's professionalism in the world of work. So as to instill good ethical character in the world of work, the STMIK Royal campus has taught supporting courses, namely professional ethics courses to support good attitudes and character in the world of profession or work. However, not all students are able to take these courses and the level of understanding of students is quite diverse, so clustering or grouping is needed based on the level of understanding of students in understanding the course. This study uses data mining techniques with the K-Means Clustering method to determine the distribution of student understanding levels of professional ethics courses. The purpose of this study was to see how far the success rate of the professional ethics course was proclaimed through the results of one semester's learning and to use the clustering results as a benchmark for developing the course and as evaluation material for students who did not understand the course.
Keywords: k-means clustering;professional ethics; students;
Abstrak: Etika merupakan karakter dasar yang dimiliki seseorang dalam mencerminkan kehidupannya sehari – hari. Etika menjadi gambaran tingkah dan perilaku seseorang dalam berkegiatan di lingkungan sosial. Seperti hal nya dalam dunia pekerjaan etika profesi sangat di junjung tinggi karena menjadi ciri khas profesionalisme seseorang dalam dunia pekerjaan. Sehingga untuk menanamkan karakter etika yang baik dalam dunia pekerjaan, kampus STMIK Royal telah mengajarkan mata kuliah pendukung yakni mata kuliah etika profesi untuk menunjang sikap dan karakter yang baik dalam dunia profesi atau pekerjaan. Namun, tidak semua mahasiswa mampu mengikuti mata kuliah tersebut dan tingkat pemahaman mahasiswa yang tergolong beragam sehingga diperlukan clustering atau pengelompokan berdasarkan tingkat pemahaman mahasiswa dalam memahami mata kuliah tersebut. Penelitian ini menggunakan teknik data mining dengan metode K-Means Clustering untuk mengetahui persebaran tingkat pemahaman mahasiswa terhadap mata kuliah etika profesi. Tujuan penelitian ini untuk melihat sejauh mana tingkat keberhasilan mata kuliah etika profesi yang dicanangkan lewat hasil pembelajaran satu semester dan menjadikan hasil clustering tersebut sebagai tolak ukur untuk mengembangkan mata kuliah tersebut dan menjadi bahan evaluasi bagi mahasiswa yang tidak memahami mata kuliah tersebut. Hasil dari clustering dalam penelitian ini terdiri atas 3 yaitu mahasiswa dengan tingkat pemahaman Baik, Cukup Baik dan Tidak Baik.
Kata Kunci: etika profesi, mahasiswa, k-means clustering.
Abstract:Abstract: The increasingly fierce business competition in this era of globalization requires companies to rearrange business strategies and tactics in order to always survive in business competition. To achieve this, there…
re are several things that can be done, namely by improving product quality, adding product types, and reducing company operational costs by using company data analysis. Data mining is a statistical process that identifies and categorizes data. PT. Swasti is a company engaged in contracting and supplying the engineering needs of palm oil mills. The purpose of this research is to help classify sales data in order to maximize stock management. In this study, the application of clustering using the k-means algorithm was used. The results of the data modeling will group the stock of goods into a number of clusters. The grouping will produce in information about the sale of goods where there are three groups, namely sales that are not selling well, selling well, and selling very well.
Keywords: k-means; data mining; clustering; sales stock.
Abstrak: Persaingan bisnis yang semakin ketat di era globalisasi ini menuntut perusahaan untuk menyusun kembali strategi dan taktik bisnis agar selalu bertahan dalam persaingan bisnis. Untuk mencapai hal tersebut, ada beberapa hal yang bisa dilakukan yaitu dengan meningkatkan kualitas produk, penambahan jenis produk, dan pengurangan biaya operasional perusahaan dengan cara menggunakan analisis data perusahaan. Data mining merupakan proses statistik yang mengidentifikasi dan mengelompokkan suatu data. PT. Swasti adalah perusahaan yang bergerak di bidang kontraktor dan supplier untuk kebutuhan teknik dari pabrik kelapa sawit. Tujuan diadakan penelitian ini untuk membantu mengelompokkan data penjualan agar dapat memaksimalkan manajemen stock. Pada penelitian ini, digunakan penerapan clustering dengan menggunakan algoritma k-means. Hasil dari pemodelan data tersebut akan mengelompokkan stock barang kedalam sejumlah cluster. Pengelompokkan tersebut akan menghasilkan informasi tentang penjualan barang dimana terdapat tiga cluster yaitu penjualan kurang laris, cukup laris, dan sangat laris.
Kata kunci: k-means; data mining; clustering; stok penjualan.