1 10 14 https://repository.horizon.ac.id/files/original/33ccdde61fb2b197411fe71f956394fa.pdf ff62c746bae3359e16c77d19abc2f065 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Analisis Penerimaan dan Penggunaan Layanan Ojek Online Mindo dengan Menggunakan Unified Theory Of Acceptance and Use of Technology (UTAUT2) Subject The topic of the resource Behavior Intention (BI), layanan ojek online, PLS-SEM, UTAUT2 Behavior Intention (BI), taxibike service online, PLS-SEM, UTAUT2 Description An account of the resource Mindo merupakan aplikasi penyedia jasa layanan transportasi online yang berada di kecamatan Ajibarang dan berhasil di download 10.623 pengguna. Pada tahun 2021 muncul kompetitor lain yang mengakibatkan pengguna aktif mengalami penurunan. Pengelola Mindo membutuhkan evaluasi penerimaan dan penggunaan pada layanan Mindo, sehingga penelitian ini menggunakan model Unified Theory of Acceptance And Use of Technology (UTAUT2). Tujuannya untuk mengidentifikasi faktor yang berpengaruh dan faktor yang paling berpengaruh terhadap behavior intention. Data diperoleh dari penyebaran kuesioner kepada 135 pengguna dan non pengguna. Data penelitian dianalisis menggunakan PLS-SEM. Hasil penelitian menunjukan bahwa performance expectancy, social influance, habit dan price value memiliki pengaruh yang signifikan terhadap behavioral intention. Sementara effort expectany, facilitating condition, dan hedonic motivation tidak memiliki pengaruh yang signifikan. Faktor yang paling berpengaruh adalah faktor habit dan price value. Variabel moderator(age, gender dan expectancy) pada penelitian ini bukan variabel yang memoderasi pengaruh variabel independen terhadap variabel dependen. Mindo is an online transportation service provider application located in Ajibarang sub-district and has been successfully downloaded by 10,623 users. In 2021 another competitor appeared which resulted in a decrease in active users. Mindo managers need to evaluate the acceptance and use of Mindo services, so this study uses the Unified Theory of Acceptance And Use of Technology (UTAUT2) model. The aim is to identify the influencing factors and the most influential factors on behavior intention. Data were obtained from distributing questionnaires to 135 users and non users. Research data were analyzed using PLS-SEM. The results showed that performance expectancy, social influence, habit and price value had a significant influence on Behavioral Intention. Meanwhile, effort expectany, facilitating condition, and hedonic motivation have no significant effect. The most influential factor is the habit factor and price value. moderator variables (age, gender and expectancy) in this study are not variables that moderate the effect of the independent variable on the dependent variable. Creator An entity primarily responsible for making the resource Keterc Nine Chlorella, Sarah Astiti, Irwan Susanto Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Behavior Intention (BI), layanan ojek online, PLS-SEM, UTAUT2 Behavior Intention (BI), taxibike service online, PLS-SEM, UTAUT2 prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/c0798b8b2b9660c63d4e3c1387f8e770.pdf beaf60eb35c1c8c1d31121d156e70697 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Peminimalan Jumlah Penggunaan Kendaraan pada Capacitated Vehicle Routing Problem with Time Windows dengan Greedy Search Subject The topic of the resource CVRPTW, greedy search Description An account of the resource Perusahaan manufaktur adalah badan bisnis yang memerhatikan berbagai aspek agar setiap aktivitas bisnis yang dilakukan selalu terpantau dan terkendali. Aktivitas bisnis manufaktur yang tidak terpantau dan terkendali oleh manajemen akan berdampak kerugian baik dari segi materiil maupun imateriil bagi perusahaan. Penyelesaian masalah Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) bertujuan dalam efisiensi proses distribusi logistik. Proses distribusi logistik yang dilakukan saat ini bertumpu pada penerapan biaya pada setiap pengiriman dapat membebani konsumen. Pada penelitian ini akan mengkaji penggunaan Algoritma Greedy Search dalam meminimalkan jumlah penggunaan kendaraan pada penyelesaian CVRPTW. Sehingga penelitian ini dapat menjadi kajian dalam menentukan metode yang dapat diterapkan pada sistem Enterprise Resources Planning milik perusahaan manufaktur. Manufacturing companies are business entities that pay attention to various aspects so that every business activity carried out is always monitored and controlled. Manufacturing business activities that are not monitored and controlled by management will result in losses both materially and immaterially for the company. The resolution of the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) is aimed at the efficiency of the logistics distribution process. The current logistics distribution process relies on the application of fees for each shipment, which can burden consumers. In this study, we will examine the use of the Greedy Search Algorithm in minimizing the number of vehicle usage in the completion of CVRPTW. So that this research can be a study in determining the methods that can be applied to the Enterprise Resources Planning system of a manufacturing company. Creator An entity primarily responsible for making the resource Muhammad Zakii Rofii, Alamsyah Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 CVRPTW, greedy search prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/c4deb435e33e348561703e3f4b0bf6f3.pdf 9897d066bf2d87d060cc88fcb52d6530 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Clustering Performa Siswa Menggunakan Algoritma K Means dan K-Medoid Subject The topic of the resource Clustering, Performa Siswa, Algoritma K-Medoids, Algoritma K-Means. Clustering, performance of high school student, K-Medoids,algorithm, K Means algorithm. Description An account of the resource Faktor terpenting dalam lingkungan belajar adalah penilaian yang dianggap sebagai hasil keluaran proses pembelajaran karena dari penilaian juga dapat membantu mengidentifikasi kemajuan dan performa dari masing-masing siswa. Penelitian ini tujuannya adalah untuk mengetahui jumlah atau banyaknya siswa dari setiap cluster dan analisis performanya serta membandingkan algoritma mana yang paling bagus untuk diterapkan saat clustering performa siswa. Dataset dikumpulkan dari situs web kaggle yang berisi performa siswa SMA di Amerika Serikat tahun 2020. Untuk metode yang dipakai dalam pengolahan data menggunakan algoritma clustering K-Means dan K-Medoids dengan tools rapidminer, sedangkan untuk menghitung nilai accuracy, precission, dan recall peneliti memakai rumus confusion matrix. Dari penelitian ini dijelaskan bahwa hanya terdapat ¼ siswa dari keseluruhan untuk cluster dengan performa siswa yang bagus dan hasil perbandingan dari kedua algoritma adalah algoritma K-Medoids lebih baik karena nilai tingkat akurasi dan presisinya lebih tinggi apabila dibandingkan dengan algoritma K-Means. The most important factor in the learning environment is the assessment which is considered as the outcome of the learning process because the assessment can also help identify the progress and performance of each student. This study aims to determine the number or number of students from each cluster and analyze their performance and compare which algorithm is the best to apply when clustering student performance. The dataset was collected from the kaggle website containing the performance of high school students in the United States in 2020. For the method used in data processing using the K-Means and K-Medoids clustering algorithm with rapidminer tools, while to calculate the accuracy, precision, and recall values, the researchers used confusion matrix formula. From this study, it is explained that there are only students from the whole cluster with good student performance and the comparison result of the two algorithms is that the K-Medoids algorithm is better because the value of the accuracy and precision level is higher when compared to the K-Means algorithm. Creator An entity primarily responsible for making the resource Erika Noor Dianti, Sayidah Rohmatul Hidayah Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Algoritma K-Medoids, Algoritma K-Means Clustering, Performa Siswa Clustering, performance of high school student K-Medoids,algorithm, K Means algorithm prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/a9fae2244bb99b38b1ad6dd91996773a.pdf 0922e7886c2d8fb1492deeed61873823 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Customer Segmentation Menggunakan Algoritma K Means Cluster pada Halal Mart Semarang Subject The topic of the resource Segmentasi pelanggan, clustering, algoritma k-means Customer segmentation, clustering, k-means algorithm Description An account of the resource Segmentasi pelanggan bertujuan untuk mengelompokan pelanggan yang memiliki kesamaan karakteristik. Segmentasi pelanggan diperlukan untuk dapat mempertahankan pelanggan lama dengan melakukan perencanaan pelayanan yang paling tepat untuk setiap pelanggan, sehingga dapat menguntungkan perusahaan. Clustering merupakan teknik data mining yang dapat membagi kelompok berdasarkan kesamaan karakteristiknya dalam satu cluster. Algoritma K Means cluster merupakan salah satu metode clustering yang sangat populer dan banyak dipelajari untuk meminimalkan kesalahan clustering. Metode Elbow digunakan untuk meningkatkan kinerja algoritma K-Means dengan memperbaiki kelemahan dari algoritma K-Means yaitu membantu untuk memilih nilai k yang optimal untuk digunakan saat clustering. Penelitian ini menggunakan data history transaksi penjualan di Halal Mart Semarang. Halal Mart merupakan salah satu cabang perusahaan dagang yang berada di Semarang, berfokus menjual produk-produk herbal, produk kecantikan dan produk kebutuhan rumah tangga sehari-hari. Penelitian ini menghasilkan 3 cluster dengan nilai Sum of Square Error sebesar 544,9. Penelitian ini juga melakukan analisis karakteristik terhadap setiap cluster yang dihasilkan. Customer segmentation aims to group customers who have similar characteristics. Customer segmentation is needed to be able to retain old customers by planning the most appropriate service for each customer, so that it can benefit the company. Clustering is a data mining technique that can divide groups based on similar characteristics in one cluster. The K-Means cluster algorithm is one of the most popular and widely studied clustering methods to minimize clustering errors. The Elbow method is used to improve the performance of the K-Means algorithm by correcting the weakness of the K-Means algorithm, which is helping to choose the optimal k value to be used when clustering. This study uses historical data on sales transactions at Halal Mart Semarang. Halal Mart is a branch of a trading company located in Semarang, focusing on selling herbal products, beauty products and products for daily household needs. This study resulted in 3 clusters with a Sum of Square Error value of 544.9. This study also analyzes the characteristics of each resulting cluster. Creator An entity primarily responsible for making the resource Alamsyah, Abdul Kholiq, Rizka Nur Pratama Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 clustering, algoritma k-means clustering, k-means algorithm Customer segmentation prosiding seminar nasional ilmu informatika Segmentasi pelanggan, https://repository.horizon.ac.id/files/original/b96988ccb3c90709310ec6f56a884b94.pdf ed3d41b1dbceea0d9cd74282b91f33e4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Implementasi Teknologi Blockchain pada Pemilihan Umum yang Berasas Luber Jurdil dan Ramah Lingkungan Subject The topic of the resource Pemilu, blockchain, teknologi blockchain Election, blockchain, blockchain technology Description An account of the resource Saat ini, pemilihan umum yang telah dilakukan masih menggunakan cara konvensional. Teknologi blockchain yang berbasis penyimpanan data yang tidak dapat dirubah, dapat menjadi kekuatan keamanan dan kerahasiaan tiap individu yang melakukan pemungutan suara, sehingga terciptanya sebuah sistem yang aman dalam menjaga kerahasiaan para pemungut suara. Dengan teknologi blockchain diharapkan dapat mempermudah pelaksanaan pemilihan umum dan mengurangi pencemaran lingkungan yang disebabkan oleh penggunaan kertas yang cukup banyak serta dapat mengefektif dan mengefesiensikan waktu dalam mengetahui hasil akhir yang aman terlindungi dari segala bentuk kecurangan. Currently, the general election that has been conducted is still using the conventional method. Blockchain technology, which is based on immutable data storage, can be a force for security and confidentiality for each individual voting, so as to create a secure system in maintaining the confidentiality of the voters. With blockchain technology, it is expected to facilitate the implementation of general elections and reduce environmental pollution caused by the use of quite a lot of paper and can be effective and time efficient in knowing the final results that are safe and protected from all forms of fraud. Creator An entity primarily responsible for making the resource Yusuf Muhammad Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Election, blockchain, blockchain technology Pemilu, blockchain, teknologi blockchain prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/317c0d5d19b02ddb147e3804fe50f273.pdf 351c9477fe7dc7970033366e65a39611 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Optimasi Prediksi Harga Saham MenggunakanAlgoritma Fruit Fly Optimization pada Support Vector Machine. Subject The topic of the resource Supervised Learning, Regression, Evolutionary Algorithm, Support Vector Regression Description An account of the resource Pasar saham adalah kumpulan dari bursa efek dimana investor dan masyarakat membeli dan menjual saham mereka secara publik. Harga saham sangat fluktuatif karena dipengaruhi oleh hukum permintaan dan penawaran. Penelitian ini memiliki tujuan untuk mengetahui jumlah harga saham berdasarkan dataset indeks harga saham yang dikumpulkan melalui yahoo finance. Algoritma yang digunakan merupakan algoritma Support Vector Regression yang merupakan Algoritma Supervised Learning. Parameter pada Support Vector Machine yaitu Kernel, Gamma, Epsilon, dan Regularization dapat dioptimasi menggunakan Evolutionary Algorithm supaya mendapatkan nilai matriks evaluasi yang lebih optimal. Nilai evaluasi model yang akan digunakan pada penelitian ini adalah APE (Absolute Percentage Error) dan RMSE (Root Mean Square Error). Penelitian ini diharapkan mendapatkan nilai matriks evaluasi yang lebih baik dari penelitian sebelumnya. The stock market is a collection of stock exchanges where investors and the public buy and sell their shares publicly. Stock prices are very volatile because they are influenced by the law of supply and demand. This study aims to determine the number of shares based on the stock price index dataset collected through yahoo finance. The algorithm used is a Support Vector Regression algorithm which is a Supervised Learning Algorithm. Parameters on the Support Vector Machine, Kernel, Gamma, Epsilon, and Regularization can be optimized using Evolutionary Algorithm in order to get a more optimal evaluation value. The value evaluation models that will be used in this study are APE (Absolute Percentage Error) and RMSE (Root Mean Square Error). This research, it is expected to get a better evaluation value than previous research. Creator An entity primarily responsible for making the resource Ramadhan Ridho Arrohman Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Evolutionary Algorithm, Support Vector Regression prosiding seminar nasional ilmu informatika Supervised Learning, Regression https://repository.horizon.ac.id/files/original/e42b12f53250b1ee4480dc6c247cebb0.pdf 9c4e37367528dc8f8795206c2b6928d1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Implementasi S-box Dinamis Guna Meningkatkan Keamanan Gambar Melalui Randomize 8-bit Konstanta Tambahan Subject The topic of the resource -box, AES, matriks affine s-box, AES, affine matrics Description An account of the resource Kemajuan di bidang teknologi informasi telah memungkinkan adanya interaksi antar pengguna melalui jaringan komputer. Interaksi tersebut tidak luput dari penggunaan komunikasi gambar. Pengiriman gambar menggunakan internet melalui jaringan wireless terutama jika didistribusikan melalui jaringan internet aplikasi chatting seperti whatsapp, telegram, dan media e-mail rawan terhadap penyerangan dan penyadapan. Algoritma AES (Advanced Encryption Standar) merupakan solusi dari ancaman serangan. Namun, meskipun algoritma AES telah diakui sebagai algoritma dengan kompleksitas tinggi karena memiliki s-box tetapi masih memiliki kelemahan terhadap serangan differensial cryptanalysis. Kerentanan algortima pada AES terletak pada penggunaan s-box statis, sehingga perlu adanya peningkatan kekuatan s-box dengan memodifikasi desain dan aljabar pada konstruksi s-box. Pada penelitian sebelumnya sempat membahas terkait dengan peningkatan keamanan algoritma AES menggunakan modifikasi transformasi ShiftRows dan s-box dinamis. Selain itu, terdapat penelitian lain tentang s-box dengan memodifikasi pada konstruksi s-box menggunakan Irreducible Polynomial dan 8-bit konstanta tambahan yang dinilai mengungguli metode kontruksi s-box lain yang ada. Pada penelitian ini, metode yang diusulkan menggunakan modifikasi algoritma AES, algoritma AES membutuhkan dua proses yaitu penginputan multiplication inverse dan matriks affine, modifikasi algoritma terletak pada s-box lebih spesifiknya modifikasi pada bagian konstruksi s-box dengan melakukan pengacakan 8-bit konstanta tambahan untuk keamanan citra digital. Pengacakan 8-bit konstanta tambahan dilakukan dengan cara menginputkan 16 macam s-box dengan nilai hexa decimal bernilai 00 sampai dengan 0F atau dalam decimal dari 0 sampai dengan 15. Hasil penelitian menunjukkan bahwa metode yang digunakan berhasil diimplementasikan untuk meningkatkan keamanan enkripsi gambar. Advances in information technology have supported the interaction between users through computer networks. This interaction does not escape the use of image communication. Sending images using the internet via wireless networks, especially if distributed through internet networks, chat applications such as whatsapp, telegram, and e-mail media are prone to attacks and eavesdropping. The AES (Advanced Encryption Standard) algorithm is a solution to the threat of attacks. However, although the AES algorithm has been recognized as an algorithm with high complexity because it has an s-box, it still has weaknesses against differential cryptanalysis attacks. The vulnerability of the AES algorithm lies in the use of static s-box, so it is necessary to increase the strength of s-box by modifying the design and algebra of the s-box construction. In a previous study, we discussed about improving the security of the AES algorithm using modified ShiftRows transformations and dynamic s-box. In addition, there are other studies on s-box by modifying the s-box construction using Irreducible Polynomial and 8-bit additional study, the proposed method uses a modified AES algorithm, the AES algorithm requires two processes, namely inputting multiplication inverse and affine matrix, the modification of the algorithm lies in the s-box, more specifically modifications to the s-box construction section by randomizing an additional 8-bit constant to digital image security. Randomization of additional 8-bit constants is done by inputting 16 kinds of s-boxes with hexa decimal values of 00 to 0F or in decimal from 0 to 15. The results showed that the method used was successfully implemented to improve the security of image encryption. Creator An entity primarily responsible for making the resource Rafli Hillan Yufandani, Alamsyah Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 -box, AES, matriks affine prosiding seminar nasional ilmu informatika s-box, AES, affine matrics https://repository.horizon.ac.id/files/original/a01292a48e5e20e2e0853cd744762f50.pdf ff4f89090dc96216e23a32d130b560fa Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Analisis Kepuasan Pengguna Sistem Informasi Manajemen Terpadu (SIMAT) Universitas Islam Madura Menggunakan PIECES Framework Subject The topic of the resource PIECES Framework, SIMAT, Universitas Islam Madura Description An account of the resource Universitas Islam Madura sebagai kampus swasta terbaik di Madura sudah menerapkan Sistem Informasi Manajemen Akademik Terpadu atau biasa disebut SIMAT. Aplikasi SIMAT memiliki beberapa fitur bidang akademik antara lain data mahasiswa, data matakuliah, data nilai, data dosen, KRS, KHS, dan bimbingan konseling mahasiswa dengan dosen wali. Tujuan penelitian adalah untuk mengukur tingkat kepuasan pengguna SIMAT dalam rangka pengembangan dan peningkatan pelayanan. Metode yang digunakan dalam penelitian adalah metode PIECES Framework. Responden penelitian adalah pengguna SIMAT yaitu mahasiswa, dosen, dan karyawan. Hasil penelitian menunjukkan bahwa dari beberapa kriteria diperoleh hasil antara lain, performance adalah 3,776 (Puas), information and data adalah 3,826 (Puas), economics adalah 3,789 (puas), control and security adalah 3,580 (puas), efficiency adalah 3,974 (puas) dan service adalah 3,438 (puas). Sehingga nilai rata-rata yang didapat untuk semua kriteria pada PIECES adalah 3,279 sehingga dapat dikategorikan pengguna merasa puas terhadap aplikasi SIMAT. Kontribusi penelitian ini bisa dijadikan dokumen pengembangan terhadap aplikasi SIMAT di Universitas Islam Madura sehingga pada tahun berikutnya aplikasi SIMAT bisa menjadi Sangat Memuaskan. Universitas Islam Madura as the best private campus in Madura has implemented an Integrated Academic Management Information System or commonly called SIMAT. The SIMAT application has several features in the academic field, including student data, course data, grade data, lecturer data, KRS, KHS, and student counseling guidance with guardian lecturers. The purpose of the study was to measure the level of satisfaction of SIMAT users in the context of developing and improving services. The method used in this research is the PIECES Framework method. Research respondents are SIMAT users, namely students, lecturers, and employees. The results showed that from several criteria obtained results, among others, performance was 3,776 (Satisfied), information and data was 3,826 (Satisfied), economics was 3,789 (Satisfied), control and security was 3,580 (Satisfied), efficiency was 3,974 (Satisfied) and service is 3,438 (Satisfied). So that the average value obtained for all criteria in PIECES is 3,279 so that users can be categorized as satisfied with the SIMAT application. The contribution of this research can be used as a development document for the SIMAT application at the Universitas Islam Madura so that in the following year the SIMAT application can be very satisfying. Creator An entity primarily responsible for making the resource Hozairi, Buhari, Rofiudin, Husnul Khatimah, Syariful Alim Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 PIECES Framework, SIMAT prosiding seminar nasional ilmu informatika Universitas Islam Madura https://repository.horizon.ac.id/files/original/9209ba00ab04df4d929d2ad0a6a95feb.pdf dd2f62c509292c0bbd3b59365053f8fd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Klasifikasi Penyakit Diabetes Menggunakan Algoritma K-Nearest Neighbor Optimasi K-Fold Cross Validation Subject The topic of the resource Diabetes Mellitus, Data Mining, Klasifikasi, KNN, k-fold cross validation Diabetes Mellitus, Data Mining, Classification, KNN, k-fold cross validation Description An account of the resource Diabetes merupakan penyakit yang terjadi karena adanya peningkatan kadar gula darah yang melebihi batas normal. Penyakit ini juga berisiko pada komplikasi. World Health Organization (WHO) menyatakan jumlah penderita diabetes terus mengalami peningkatan dari tahun ke tahun dan berpotensi meningkat lebih tinggi dibandingkan dengan tahun-tahun sebelumnya. Melihat tingginya angka masyarakat yang terkena diabetes maka perlu dilakukan pendeteksian penyakit diabetes secara dini sebagai upaya untuk meminimalisir munculnya komplikasi dan kematian. Penelitian ini menggunakan data mining dengan metode klasifikasi. Tujuan dari penelitian ini untuk mendapatkan hasil akurasi dan melihat kinerja algoritma. Algoritma klasifikasi yang digunakan adalah algoritma K-Nearest Neighbor (KNN). Dataset yang digunakan adalah PIDD. Dalam penelitian ini data dibagi menjadi 80:20 untuk data training dan data testing. Penelitian ini melakukan k-fold cross validation. Berdasarkan hasil penelitian menunjukkan bahwa metode yang digunakan berhasil memperoleh akurasi yang tinggi dalam memprediksi penyakit diabetes sebesar 78,10%. Diabetes is a disease that occurs due to an increase in blood sugar levels that exceed normal limits. This disease is also at risk for complications. The World Health Organization (WHO) states that the number of people with diabetes continues to increase from year to year and has the potential to increase higher than in previous years. Seeing the high number of people affected by diabetes, the detection of diabetes is an effort to detect it early, minimize complications and death. In this research implement data mining with classification methods. This study aims to obtain accuracy results and see the performance of the algorithm. The classification algorithm used is the K-Nearest Neighbor (KNN) algorithm. The dataset used is PIDD. The dataset is divided into 80:20 for training data and testing data. This study performs k-fold cross validation. Based on the results of the study showed that the method used succeeded in obtaining high accuracy in predicting diabetes by 78.10%.. Creator An entity primarily responsible for making the resource Diah Siti Fatimah Azzahrah, Alamsyah Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Classification, KNN, k-fold cross validation Diabetes Mellitus, Data Mining Klasifikasi, KNN, k-fold cross validation prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/54826ed5f8ddd7365b8c599d72f4508e.pdf 3abcb6cfd810b48c4c13d6d530de05d6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Dermaga Otomatis Menggunakan Sensor Water Level Berbasis Arduino Bertenagakan Panel Surya Subject The topic of the resource Dermaga, Arduino, Mikrokontroler, Sensor Water Level, Panel Surya Dock, Arduino, Microcontroller, Sensor Water Level, Solar Panel Description An account of the resource Dermaga otomatis adalah teknologi yang memungkinkan dermaga dapat naik dan turun secara otomatis berdasarkan ketinggian permukaan air, hal ini dapat memudahkan nelayan saat akan kembali ke pesisir dan mengikat kapalnya pada dermaga. Arduino terlebih dahulu di program menggunakan IDE arduino yang dikoneksikan ke komputer dengan kabel USB, kemudian dibuat sketch yang akan ditanamkan pada arduino. Mikrokontroler arduino ini akan mengontrol naik dan turunnya dermaga berdasarkan informasi dari sensor water level. Banyaknya perangkat elektronik yang digunakan tidak akan memakan banyak biaya untuk sumber listriknya, karena bersumber dari sumber energi terbarukan cahaya matahari yang ditangkap menggunakan panel surya. Komponen listrik juga akan terus dialiri selama 24 jam karena ada aki yang menjadi sumber tenaga saat malam hari. Hasil dari penelitian ini yaitu suatu konsep dermaga otomatis dengan sumber tenaga listrik yang berasal dari panel surya yang akan menghemat penggunaan listrik dan ramah akan lingkungan, karena listrik akan terus dialiri pada beban berupa sistem hidrolik dan pengontrol mikrokontroler arduino. The automatic dock is a technology that allows the dock to rise and low automatically based on the water level, this can make it easier for fishermen to return to the coast and tie their boats to the dock. Arduino is first programmed using the Arduino IDE which is connected to a computer with a USB cable, then a sketch is made that will be embedded in the Arduino. This arduino microcontroller will control the rise and fall of the dock based on information from the water level sensor. The number of electronic devices used will not cost much for the electricity source, because it is sourced from renewable energy sources from sunlight captured using solar panels. Electrical components will also continue to flow for 24 hours because there is a battery that is a source of power at night. The result of this research is a concept of an automatic dock with a source of electricity coming from the solar panel which will save electricity usage and be environmentally friendly, because electricity will continue to flow to the load in the form of a hydraulic system and Arduino microcontroller controller. Creator An entity primarily responsible for making the resource Amanda Rizkyta Hamidah Publisher An entity responsible for making the resource available Universitas Semarang Date A point or period of time associated with an event in the lifecycle of the resource 19 Oktober 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2614-1205 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesian Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022 Dermaga, Arduino, Mikrokontroler Dock, Arduino, Microcontroller prosiding seminar nasional ilmu informatika Sensor Water Level, Panel Surya Sensor Water Level, Solar Panel