1 10 14 https://repository.horizon.ac.id/files/original/ea77848ceb68bd94cf52d6cbffe2c33f.pdf e5290c48bab2dfbe12817ce537b791cc 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 Tanaman Padi dari Citra Daun Menggunakan Inceptionv-3 pada Convolutional Neural Network Subject The topic of the resource Penyakit daun padi, convolutional neural network, klasifikasi citra, inception v3 ice leaf disease, convolutional neural network, image classification, inception v3 Description An account of the resource Padi merupakan makanan pokok orang Asia, khususnya di Indonesia. Angka konsumsi nasi di Indonesia sangat tinggi, sehingga petani harus memproduksi beras dengan angka yang besar juga. Penyakit pada tanaman, khususnya tanaman padi, menyebabkan kerugian produksi dan ekonomi yang besar. Penelitian ini memiliki tujuan untuk klasifikasi penyakit tanaman padi berdasarkan citra daun. Daun padi memiliki penampang yang luas dibandingkan batang atau akarnya, sehingga mudah untuk mendeteksi secara dini penyakit pada tanaman padi. Metode yang digunakan untuk klasifikasi penyakit pada daun padi adalah dengan Convolutional Neural Network (CNN) menggunakan aristektur Inception-V3. Dataset berupa citra daun padi yang terkena penyakit dikumpulkan dari kaggle dan memiliki 3 kelas, yaitu Brown Spot dengan 433 data citra, Bacterial Leaf Blight dengan 426 data citra, dan Leaf Smut dengan 435 data citra. Data dibagi menjadi 3 set data (training, validasi, dan testing) dengan perbandingan 70:20:10. Hasil performa dievaluasi dengan confusion matrix. Dari hasil pelatihan dan uji model didapatkan hasil akurasi 89%. Pada pengujian hasil akurasi pada masing-masing kelas sebesar 100%%, 85%, dan 82%. Rice is the staple food of Asian people, especially in Indonesia. The rice consumption rate in Indonesia is very high, so farmers have to produce rice in large numbers as well. Diseases in plants, especially rice plants cause large production and economic losses. This study aims to classify rice plant diseases based on leaf image. Rice leaves have a wider cross-section than the stem or roots, making it easy to detect early disease in rice plants. The method used for disease classification in rice leaves is the Convolutional Neural Network (CNN) using the Inception-V3 architecture. The dataset in the form of images of diseased rice leaves was collected from kaggle and has 3 classes, namely Brown Spot with 433 image data, Bacterial Leaf Blight with 426 image data, and Leaf Smut with 435 image data. The data is divided into 3 data sets (training, validation, and testing) with a ratio of 70:20:10. Performance results are evaluated by confusion matrix. From the results of training and model testing, the results obtained accuracy of 89%. In testing the results of accuracy in each class of 100%%, 85%, and 82%. Creator An entity primarily responsible for making the resource Fandyka Ariel Pradana, Muhammad Galih Rakasiwi 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 , klasifikasi citra, inception v3 ice leaf disease, convolutional neural network image classification, inception v3 Penyakit daun padi, convolutional neural network prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/cb6b4fbed939bf77d87db2b69e4114e9.pdf a298d33e0d477804d6b4c615dc4adcb5 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 dan Peningkatan dari Business Process Model and Notation (BPMN) di Perusahaan Rokok Menggunakan Model Business Prosess Improvement (BPI) Subject The topic of the resource BPMN, BPI, analisis proses bisnis BPMN, BPI, business process analysis Description An account of the resource Proses produksi dalam perusahaan rokok membutuhkan perencanaan produksi sehingga produksi yang dijalankan akan efektif dan efisien sesuai dengan target yang telah ditetapkan. Penelitian ini dimaksudkan untuk menganalisis proses bisnis bagian perencanaan produksi yang sudah ada dalam perusahaan yang telah tersaji dalam bentuk Business Process Model and Notation (BPMN). Dalam pelaksanaan analisis BPMN tersebut diketahui bahwa proses bisnis produksi masih memiliki kelemahan yakni pelaksanaan penjadwalan manual yang memakan waktu. Dari permasalahan tersebut dilakukan perbaikan menggunakan Business Process Improvement (BPI) sebagai upaya memperbaiki perencanaan produksi yang kurang efisien. Hasil yang diperoleh dari penelitian ini, berupa perbaikan pada proses bisnis yakni penggunaan sistem sebagai pengganti rapat mingguan. Sistem tersebut berupa pemberitahuan mengenai keputusan produksi yang telah dipertimbangkan oleh bagian Supply Chain Management (SCM) sehingga lebih menghemat waktu dan tenaga pekerja. Hasil yang diperoleh adalah adanya penghematan waktu proses produksi dari berdurasi rata-rata selama 5 hari 7 jam menjadi 5 hari 5 jam. The production process in a cigarette company requires production planning so the production run will be effective and efficient in accordance with the targets that have been set. This study is intended to analyze the business processes of the existing production planning department in the company that have been presented in the form of BPMN. In the implementation of the BPMN analysis, it is known that the production business process still has a weakness, it is about the implementation of manual scheduling which takes time. From these problems, improvements were made using BPI as an effort to improve production planning that is less efficient. The results obtained from this study, in the form of improvements in business processes, like the use of the system as a substitute for weekly meetings. The system is in the form of notification of production decisions that have been considered by the Supply Chain Management (SCM) department so as to save time and labor. The results obtained are the production process time savings from an average duration of 5 days 7 hours to 5 days 5 hours Creator An entity primarily responsible for making the resource Sayidah Rohmatul Hidayah, Subhan, Chyntia Eka Putri, Itsna Khoirika 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 BPMN, BPI, analisis proses bisnis BPMN, BPI, business process analysis prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/c4b2e835fc333eaf9ed69a654d1b62ae.pdf 38427921c80fcb3c8d92e9b9e042ed1e 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 Desain Sistem Monitoring Visitor Counter Menggunakan YOLOV3 (You Only Look Once) Berbasis Internet Of Things Subject The topic of the resource IoT, YOLOV3, visitor counter, deteksi objek IoT, YOLOV3, visitor counter, object detection Description An account of the resource Internet Of Things (IoT) merupakan solusi alternatif untuk kehidupan manusia di berbagai bidang, salah satunya ada pelayanan publik. Pencatatan jumlah orang yang akan masuk dalam suatu ruangan menjadi penting untuk pemilik atau pengelola suatu pelayanan publik. Pengawasan jumlah orang yang berkunjung dalam suatu ruangan dalam jangka waktu tertentu dapat menjadi faktor penting dalam menentukan kebijakan publik untuk kenyamanan pengunjung. Masalah yang masih terjadi pada sistem yang sudah ada dalam monitoring jumlah orang di suatu ruangan atau tempat publik adalah pengunjung masih harus melakukan scan barcode secara manual. Makalah ini mengusulkan perancangan sistem dengan menggunakan algoritma YOLOV3 (You Only Look Once) untuk monitoring Visitor Counter berbasis Internet of Things (IoT) dengan menggunakan kamera CCTV serta ESP8266. Penggunaan algoritma ini bertujuan untuk melakukan pendeteksian objek yang lebih akurat dan akan dapat membedakan objek yang terlihat pada kamera CCTV berupa manusia atau benda lainnya. Hasil dari penelitian ini adalah sebuah rancangan sistem dari proses pendeteksian objek yang dikirim ke database cloud. Internet of Things (IoT) is an alternative solution for human life in various fields, one of which is public service. Recording the number of people who will enter a room is important for the owner or manager of a public service. Monitoring the number of people visiting a room in a certain period of time can determine the policy determinants for visitor comfort. The problem that still occurs in the existing system in monitoring the number of people in a room or public place is the visitors still have to scan the barcode manually. This paper proposes a system design using the YOLOV3 (You Only Look Once) algorithm to monitor the Internet of Things (IoT)- based Visitor Counter using CCTV cameras and ESP8266. This use aims to detect objects more accurately, which will be able to distinguish objects seen on CCTV cameras in the form of humans or other objects. The result of this research is a system design of the object detection process that is sent to the cloud database. Creator An entity primarily responsible for making the resource Ivan Permana 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 IoT, YOLOV3, visitor counter, deteksi objek IoT, YOLOV3, visitor counter, object detection prosiding seminar nasional ilmu informatika https://repository.horizon.ac.id/files/original/dd43caa8f728f2cf07f1acb04c3629f5.pdf ff2f24c8d7eee0a3a6a6d3904fbd2d93 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 Firewall Static Network Address Translation (NAT) Menggunakan Packet Tracer Subject The topic of the resource Jaringan, Firewall, Static NAT Network, Firewall, Static NAT Description An account of the resource Pesatnya perkembangan internet dapat memberikan banyak kemudahan terutama dalam penyediaan informasi dan sarana komunikasi, tetapi hal itu juga mempunyai dampak negatif, yaitu banyaknya kriminalitas dalam dunia internet. Untuk itu perlu pembatasan jaringan internet dengan menggunakan firewall. NAT adalah salah satu jenis firewall yang digunakan untuk menyaring IP dengan menerjemahkan IP untuk mendapat jalan masuk dari jaringan yang berbeda, NAT juga dapat memasukan host ke jaringan yang berbeda tanpa izin tuan rumah. Tujuan dari simulasi ini adalah untuk menerapkan static network address translation dengan menggunakan packet tracer. Pada penelitian ini simulasi jaringan dirancang menggunakan beberapa perangkat berbeda seperti satu server, dua router, dua swich, dan delapan komputer yang saling terhubung satu sama lain. Hasil yang didapat melalui simulasi tersebut berupa melalui pengimplementasian NAT maka jaringan komputer lebih aman karena hanya IP address terdaftar yang dapat masuk ke jaringan. The rapid development of the internet can provide many conveniences, especially in providing information and means of communication, but it also has a negative impact, namely the number of crimes committed in the internet world. For this reason, it is necessary to limit the internet network by using a firewall. NAT is one type of firewall that is used to filter IP by translating IP to get access from different networks. NAT can also enter hosts into different networks without the host's permission. The purpose of this simulation is to implement static network address translation using a packet tracer. In this research, the network simulation is designed using several different devices, such as one server, two routers, two switches, and eight computers that are connected to each other. The results obtained through the simulation are that, through the implementation of NAT, the computer network is safer because only registered IP addresses can enter the network. Creator An entity primarily responsible for making the resource Rizqia Salsabila 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 Jaringan, Firewall, Static NAT Network, Firewall, Static NAT 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 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/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/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/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/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