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                  <text>PROSIDING SEMINAR NASIONAL ILMU KOMPUTER UNIVERSITAS SEMARANG 2022 </text>
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                <text>Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022&#13;
Analisis dan Peningkatan dari Business Process Model  and Notation (BPMN) di Perusahaan Rokok  Menggunakan Model Business Prosess Improvement  (BPI)</text>
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                <text>BPMN, BPI, analisis proses bisnis &#13;
BPMN, BPI, business process analysis &#13;
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                <text>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. &#13;
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</text>
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                <text>Sayidah Rohmatul Hidayah, Subhan, Chyntia Eka Putri, Itsna Khoirika</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 2614-1205</text>
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                <text>Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022</text>
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Analisis Kepuasan Pengguna Sistem Informasi  Manajemen Terpadu (SIMAT) Universitas Islam  Madura Menggunakan PIECES Framework</text>
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                <text>PIECES Framework, SIMAT, Universitas Islam Madura &#13;
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                <text>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. &#13;
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. &#13;
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. &#13;
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                <text>Hozairi, Buhari, Rofiudin, Husnul Khatimah, Syariful Alim</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 2614-1205</text>
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                <text>Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022&#13;
Analisis Penerimaan dan Penggunaan Layanan Ojek  Online Mindo dengan Menggunakan Unified Theory Of  Acceptance and Use of Technology (UTAUT2) &#13;
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Behavior Intention (BI), taxibike service online, PLS-SEM, UTAUT2 &#13;
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                <text>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. &#13;
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.</text>
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                <text>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. &#13;
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.</text>
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                <text>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 &#13;
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 &#13;
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. &#13;
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. &#13;
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Dermaga Otomatis Menggunakan Sensor Water Level Berbasis Arduino Bertenagakan Panel Surya &#13;
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                <text>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. &#13;
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Desain Sistem Monitoring Visitor Counter Menggunakan  YOLOV3 (You Only Look Once) Berbasis Internet Of Things &#13;
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IoT, YOLOV3, visitor counter, object detection </text>
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                <text>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. &#13;
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.</text>
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Implementasi Firewall Static Network Address  Translation (NAT) Menggunakan Packet Tracer &#13;
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                <text>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. &#13;
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. </text>
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Implementasi S-box Dinamis Guna Meningkatkan  Keamanan Gambar Melalui Randomize 8-bit Konstanta  Tambahan</text>
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s-box, AES, affine matrics &#13;
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                <text>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.  &#13;
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. &#13;
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Implementasi Teknologi Blockchain pada Pemilihan  Umum yang Berasas Luber Jurdil dan Ramah  Lingkungan </text>
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                <text>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. &#13;
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.</text>
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                <text>Yusuf Muhammad</text>
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                <text>Universitas Semarang</text>
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                <text>19 Oktober 2022</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 2614-1205</text>
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                <text>Indonesian</text>
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                <text>Prosiding Seminar Nasional Ilmu Komputer Universitas Semarang 2022</text>
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        <name>prosiding seminar nasional ilmu informatika</name>
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