Abstract:Abstract:Computer data security relies on preventing data theft from irresponsible parties by using cryptography method. Some cryptography algorithms have good and poor performance in encrypting and decrypting data depending…
ding on the key types. Therefore the purpose of this research is to measure the performance of the hybrid algorithm, consisting a symmetric keyBlowfish algorithm and an asymmetric key RSA algorithm, in encrypting and decrypting multiple types of data such as documents, photos, audios, and videos. The result is the performance of the hybrid algorithm is almost on par with Blowfish and provides a more secure data encryption and decryption by taking advantage of RSA algorithm. The average encryption performance of hybrid algorithm is 0.85s on document, 1.06s on photo, 3.38s on audio, and 15.56s on video. While the average decryption performance of hybrid algorithm is 1.01s on document, 1.38s on photo, 4.3s on audio, and 27.56s on video.
Keywords:Hybrid cryptography, Data security, Performance, Blowfish, RSA
Abstrak:Keamanan data komputer berhubungan dengan pencegahan dari pencurian data oleh pihak yang tidak bertanggung jawab, salah satu cara pengamanan data komputer yaitu dengan teknik kriptografi. Beberapa metode kriptografi memiliki performa yang baik dan buruk tergantung dengan tipe kuncinya. Maka dari itu, tujuan dari penelitian ini adalah mengukur tingkat kecepatan kriptografi hybrid, terdiri dari algoritma simetris Blowfish dan algoritma asimetris RSA, dengan beberapa tipe data seperti dokumen, foto, audio dan video. Hasil dari penelitian ini adalah algoritma hybrid memiliki performa yang tidak jauh berbeda dari algoritma Blowfish dan membuat proses enkripsi dan dekripsi data lebih aman dengan keunggulan dari algoritma RSA. Rata-rata kecepatan enkripsi algoritma hybrid untuk dokumen 0,85 detik, gambar 1,06 detik, audio 3,38 detik, dan video 15,56 detik. Sedangkan rata-rata kecepatan dekripsi algoritma hybrid untuk dokumen 1,01 detik, gambar 1,38 detik, audio 4,3 detik, dan video 27,56 detik.
Kata kunci:Kriptografihybrid, Keamanan data, Performa, Blowfish, RSA
Abstract:Abstract: The human eye can distinguish objects from digital images, however, computers do not have the ability as human eyes that can directly distinguish objects from digital images. Therefore the bag of visual words method…
ethod was created. Bag of visual words is a method for presenting digital images based on local features. Bag of visual words illustrates how an image can be taken its characteristics, so that computers can distinguish objects on digital images. The test results show that the bag of visual words are still not maximal in classifying digital image categories, especially the chair category, which is only able to produce the most accurate accuracy of 75%. To improve the performance quality of bag of visual words in classifying digital image categories, especially the chair category, you can add an approach to determine the good number of K in clustering the visual words pattern.
Keywords: Bag Of Visual Words, Classification, Digital Image, Speed-Up Robust Feature, Support Vector Machine
Abstrak: Secara kasat mata manusia bisa membedakan objek pada citra digital, namun, komputer tidak memiliki kemampuan sebagai mata manusia yang dapat secara langsung membedakan objek pada citra digital. Maka dari itu diciptakanlah metode bag of visual words. Bag of visual words adalah metode untuk menyajikan citra digital berdasarkan fitur lokal. Bag of visual words menggambarkan bagaimana suatu gambar dapat diambil karakteristiknya, sehingga komputer dapat membedakan objek pada citra digital. Hasil pengujian menunjukkan bag of visual words masih belum maksimal dalam mengklasifikasi kategori citra digital khususnya kategori chair, yang hanya mampu menghasilkan akurasi paling akurat sebesar 75 %. Untuk meningkatkan kualitas kinerja bag of visual words dalam mengklasifikasi kategori citra digital khususnya kategori chair, dapat menambahkan pendekatan untuk menentukan jumlah K yang baik dalam mengkluster pola visual words.
Kata kunci: Bag Of Visual Words, Klasifikasi, Citra Digital, Speed-Up Robust Feature, Support Vector Machine
Abstract:Abstract: The library is one of the most important means to add insight and knowledge to everyone. In general, borrowing transaction data books that exist in a library are only left to accumulate by the library in the database…
tabase without any utilization or further processing of the data that has long been stored. By utilizing the Data Mining technique using association rules with FP-Growth, these data will be very useful. Because from the data lending books to the library, new information can be gleaned about what books are often borrowed and know the pattern of relationships between books that have been borrowed together so that later it can be used to compile books in accordance with the existing borrowing patterns so that they can facilitate library visitors in the process of finding books.
Keywords: Data Mining, Association Rule, FP-Growth, Library
Abstrak: Perpustakaan merupakan salah satu sarana yang sangat penting untuk menambah wawasan dan keilmuan setiap orang. Pada umumnya data transaksi peminjaman buku yang ada pada sebuah perpustakaan hanya dibiarkan saja menumpuk oleh pihak perpustakaan di dalam database tanpa ada pemanfaatan atau pengolahan lebih lanjut dari data-data yang telah lama tersimpan tersebut. Dengan melakukan pemanfaatan menggunakan Teknik Data Mining metode association rules dengan FP-Growth, data-data tersebut akan jadi sangat bermanfaat. Karena dari data peminjaman buku pada perpustakaan tersebut dapat diggali informasi baru tentang buku-buku apa yang sering dipinjam dan mengetahui pola hubungan antara buku yang telah dipinjam secara bersama-sama sehingga nantinya dapat dimanfaatkan untuk melakukan penyusunan buku sesuai dengan pola peminjaman buku yang ada sehingga dapat mempermudah para pengunjung perpustakaan dalam proses pencarian buku.
Kata Kunci : Data Mining, Asociation Rule, FP-Growth, Perpustakaan
Abstract:Medical disposable is one of important support tools in medical operational and must not be out of stock in order to deliver excellent service in hospital. The pharmacy department has to forecast the demand to supply information…
ormation for decision making in budgeting. In this paper, is comparing double moving average and double exponential smoothing method for 3 ml spuit for time series 01 January to 30 June 2017. The accuracy of forecasting is the most important and it can be measure with MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Value). The smallest value of MAPE and RMSE is having the high accuracy of forecasting. The double moving average method has the smallest MAPE = 0.353 and RMSE = 95.8 compare to Exponential Smoothingand be the best option to use as method to forecast the medical disposable supply demand.
Abstract:Abstract: The increasing number of students who graduated each year causes a lot of student data that need to be processed, causing difficulties in grouping the data. In this research apply Data Mining by using Clustering…
g method to classify the quality of graduate students of Faculty of Computer Science Dehasen University of Bengkulu based on GPA and Study Program. The algorithm used is K-Means Clustering, where the data are grouped based on the same characteristics will be entered into the same group and the data set entered into the group does not overlap. Information displayed in the form of group ?? a group of graduate students who dominate the Study Program, so it is known to the group that has the best graduate quality. The results of this study will assist the University in analyzing the quality of graduated students and the most potential study programs. Software used to help this grouping is Rapid Miner.
Keywords: K-Means Clustering, Study Program, Graduate Quality, Rapid Miner
Abstrak: Semakin meningkatnya jumlah mahasiswa yang diluluskan setiap tahunnya menyebabkan banyaknya data mahasiswa yang perlu diolah sehingga menyebabkan kesulitan dalam pengelompokan data tersebut. Pada penelitian ini menerapkan Data Mining dengan menggunakan metode Clustering untuk mengelompokkan kualitas lulusan mahasiswa Fakultas Ilmu Komputer Universitas Dehasen Bengkulu berdasarkan IPK dan Program Studi. Algoritma yang digunakan yaitu K-Means Clustering, dimana data dikelompokkan berdasarkan karakteristik yang sama akan dimasukkan ke dalam kelompok yang sama dan set data yang dimasukkan ke dalam kelompok tidak tumpang tindih. Informasi yang ditampilkan berupa kelompok – kelompok lulusan mahasiswa yang mendominasi Program Studi, sehingga diketahui kelompok yang memiliki kualitas lulusan terbaik. Hasil penelitian ini akan membantu pihak Universitas dalam menganalisa kualitas mahasiswa yang diluluskan dan program studi yang paling berpotensi diminati. Software yang digunakan untuk membantu pengelompokan ini adalah Rapid Miner.
Keyword: K-Means Clustering, Program Studi, Kualitas Lulusan, Rapid Miner
Abstract:Tourism is one of the most important factors for the revenue of an area. To attract the interest of tourists takes some supporting factors, one of which is the hotel or the guesthouse. In the process of prediction of tourists…
rists visit, required data the number of tourists staying in order to predict for the next time. The prediction method used in this system is a method of Backpropagation Neural Network based on time series data forecasting component variansi random or random process beginning with autocorrelation for determination of input variables. Method of Backpropagation itself is known quite well used in the forecasting of time series data. The result of the method of Backpropagation is a number of predictions that tourists visit can be a reference for related officials in taking decisions for the period ahead.
Abstract:Abstract : Currently hydropower is a power plant that has a high potential to be developed in Indonesia because it has an adequate water source. Evaluation of plant maintenance performance becomes one important factor because…
cause it is one of the company's strategy to achieve its goals. For that we need a method to determine the priority of KPI where the company prioritized that can provide a balanced point of view of the overall system performance one of them is by implementing Analytical Hierarcy Process (AHP). Based on the AHP method of 16 KPIs consisting of 6 KPIs for Corporate Level, 6 KPIs for Strategic Level and 4 KPIs for Functional Level. From the results of the assessment of respondents involved KPI is the most prioritized PLTA LubukGadang Power Plant, South Solok Regency is known that the most priority factor companies at corporate level that is the number of kWh produced with a weight of 0.420. For strategic level that is capacity factor with weight 0,478 while for functional level that is rework maintenance with weight equal to 0,540.
KeyWord :Decision Support System, KPI, AHP,CompanyStrategy, Weighting
Abstrak :Saat ini PLTA merupakan pembangkit listrik yang memiliki potensi yang tinggi untuk dikembangkan di Indonesia karena memiliki sumber air yang memadai.Evaluasi kinerja pemeliharaan pembangkit menjadi salah satu faktor yang penting karena merupakan salah satu strategi perusahaan untuk mencapai tujuannya.Untuk itu diperlukan suatu metode untuk menentukan prioritas KPI mana yang diprioritaskan perusahaan yang dapat memberikan sudut pandang yang seimbang terhadap keseluruhan system kinerja salah satu diantaranya adalah dengan mengimplementasikan Analytical Hierarcy Process (AHP). Berdasarkan metode AHP dari 16 KPI yang terdiri dari 6 KPI untuk Corporate Level, 6 KPI untuk Strategic Level dan 4 KPI untuk Functional Level. Dari hasil penilaian responden yang terlibat didapatkan KPI yang paling diprioritaskan PLTA Unit Pembangkit Listrik Lubuk Gadang, Kabupaten Solok Selatan diketahui bahwa faktor yang paling diprioritaskan perusahaan pada corporate level yaitu banyaknya kWh yang diproduksi dengan bobot 0,420. Untuk strategic level yaitu capacity factor dengan bobot 0,478 sedangkan untuk functional level yaitu maintenance rework dengan bobot sebesar 0,540.
KeyWord :Sistem Pengambilan Keputusan, KPI, AHP, strategi perusahaan, pembobotan
Abstract:Penelitian ini bertujuan untuk menganalisis konten latihan dan soal yang merepresentasikan kemampuan berpikir tingkat tinggi (HOTS) pada buku teks Matematika kelas VII SMP terbitan Kementerian Pendidikan, Kebudayaan, Riset,…
et, dan Teknologi sebagai bahan ajar Kurikulum Merdeka. Anifarka & Rosnawati (2023) menyatakan bahwa buku teks yang berkualitas seyogianya mampu memfasilitasi perkembangan kognitif peserta didik selaras dengan capaian pembelajaran yang ditetapkan. Metode yang diterapkan dalam kajian ini adalah analisis isi dengan pendekatan deskriptif kualitatif. Instrumen analisis merujuk pada dimensi kognitif C4 (Menganalisis), C5 (Mengevaluasi), dan C6 (Menciptakan) berdasarkan revisi taksonomi Bloom oleh Anderson & Krathwohl (2001). Temuan penelitian mengindikasikan bahwa dari total 485 butir soal dan aktivitas yang tersebar pada enam bab, sebanyak 147 butir (30,31%) tergolong dalam kategori HOTS. Distribusi HOTS tertinggi ditemukan pada Bab 5 tentang Persamaan dan Pertidaksamaan Linear Satu Variabel (38,46%), sedangkan terendah pada Bab 1 tentang Bilangan (22,80%). Level kognitif yang paling dominan adalah C4-Menganalisis (58,50%), diikuti C5-Mengevaluasi (28,57%), dan C6-Mencipta (12,93%). Temuan ini mengindikasikan bahwa buku teks Kurikulum Merdeka telah mengintegrasikan HOTS secara lebih sistematis dibandingkan kurikulum sebelumnya (Fanani, 2018)meskipun proporsinya perlu ditingkatkan untuk memenuhi tuntutan pembelajaran abad ke-21.
This study aims to analyze the content of exercises and questions representing higher-order thinking skills (HOTS) in the Mathematics textbook for grade VII junior high school published by the Ministry of Education, Culture, Research, and Technology as teaching materials for the Independent Curriculum. Anifarka & Rosnawati (2023) stated that a quality textbook should be able to facilitate students' cognitive development in line with the established learning outcomes. The method applied in this study is content analysis with a qualitative descriptive approach. The analysis instrument refers to the cognitive dimensions C4 (Analyzing), C5 (Evaluating), and C6 (Creating) based on the revised Bloom's taxonomy by Anderson & Krathwohl (2001). The research findings indicate that of a total of 485 questions and activities spread across six chapters, 147 items (30.31%) are classified as HOTS. The highest HOTS distribution was found in Chapter 5 on Linear Equations and Inequalities with One Variable (38.46%), while the lowest was in Chapter 1 on Numbers (22.80%). The most dominant cognitive level is C4-Analyzing (58.50%), followed by C5-Evaluating (28.57%), and C6-Creating (12.93%). This finding indicates that the Independent Curriculum textbooks have integrated HOTS more systematically than the previous curriculum (Fanani, 2018), although the proportion needs to be increased to meet the demands of 21st-century learning.
Abstract:This study examines the Islamic legal status of Valentine's Day celebrations through a hadith based approach and explores how Indonesian Muslims understand the phenomenon. The study addresses the tension between the prohibition…
ibition of tasyabbuh in the hadith “Man tasyabbaha bi qaumin fahuwa minhum” and the growing practice of Valentine's Day celebrations among young Muslims. Using a sequential mixed-methods design, the study combines desk research including analysis of the sanad, matn, and fiqh of hadith from six journal articles and one primary hadith source with an online survey of 47 Indonesian Muslims aged 16–28 selected through purposive and snowball sampling. The textual analysis found that the hadith is hasan (Islamic law) and that the prohibition of tasyabbuh specifically relates to the imitation of religious symbols and rituals, not all forms of cultural practices. The survey findings support this conclusion: most respondents understand the hadith (80.9%), have never actively celebrated Valentine's Day (89.3%), and believe the prohibition applies primarily to religious or symbolic imitation (55.3%). This study concludes that the primary concern among contemporary Indonesian Muslims is not the religious origins of Valentine's Day, but rather the associated practices, particularly khalwat, which risk violating sharia principles.
Abstract:This study aimed to analyze the response of several cayenne pepper varieties (Capsicum frutescens L.) on the growth and yield of cayenne pepper cultivated in the cocoa (Theobroma cacao L.) alley cropping system. The research…
arch was conducted from April to July 2025 at Mon Jambe Village, Jeumpa District, and the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The experiment employed a Randomized Block Design (RBD) with four varieties as treatments and three replications, resulting in 12 experimental units. The tested varieties were Rajo, Genie, Bara, and Tetra Hijau. Data were collected through observations of plant height, number of leaves, number of fruits, fruit weight, and fresh biomass weight, and were analyzed using analysis of variance (ANOVA) to determine differences among treatments. The results showed that the varietal factor had a highly significant effect on leaf number and a significant effect on fruit number and fruit weight. The Bara variety exhibited the most adaptive and productive performance under the cocoa alley cropping system, as indicated by superior vegetative growth and yield compared to other varieties. The novelty of this study lies in emphasizing that varietal selection is a key factor in optimizing the utilization of cocoa alley spaces for cayenne pepper cultivation. These findings are expected to provide a scientific basis for developing cayenne pepper cultivation technologies in cocoa alley systems and to serve as a reference for further research on adaptive variety development under such environmental conditions.