Garuda - Garba Rujukan Digital

Implementasi Algoritma Greedy dan Djikstra untuk Efektifitas Rute Pariwisata Populer di Borobudur Eka Rahmawati; Candra Agustina
Jurnal Teknologi Informasi dan Terapan Vol 8 No 2 (2021)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i2.216

New tourist attractions in the Borobudur region always bring domestic and foreign tourists to visit. Besides visit the Borobudur Temple, now, the tourists can visit the other popular tourist attractions near the main destination. For example, in 2019, a new tourist attraction was created, it called Mata Langit. Many tourists will include all the interest object on the visit list. The more destinations that will be visited will increase the allocation of time to travel. Tourists must be careful in determining the route. The effective route is very important to manage the time. In the field of computer technology, several algorithms can help to determine the shortest route. Among them are the Greedy algorithm and Djikstra's algorithm. Both algorithms have different principles in processing data. Therefore to get the best results, it is necessary to compare the 2 algorithms. The first time, determined the 5 most popular attractions in Borobudur based on the number of visitors in the last three months. Then the data is processed using Greedy and Djikstra's algorithm. The winner is determined based on the shortest time owned by each route produced. The results obtained show that the Greedy algorithm is more effective in calculating the shortest route to visit popular tours in Borobudur

Evaluasi Aplikasi Parkir Sepeda Motor menggunakan User Experience Quetionare (UEQ) Eka Rahmawati; Candra Agustina
Informatics and Computer Engineering Journal Vol 1 No 2 (2021): Periode Agustus 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Motorcycle parking application is an information system that is used to make it easier to record entry and exit parking, parking duration, and find out how much space is available for parking. One of the tools used to evaluate is the User Experience Quetinonare or UEQ. UEQ can measure six user perspectives, namely attractiveness, sharpness, efficiency, dependability, stimulation, novelty. The questionnaire was distributed to 20 respondents who had used the application. The data is then processed using Data Analisys Tools that has been provided by UEQ. The results of data processing show that the Attractiveness aspect has a value of 1.24, Perspicuity has a value of 1.54, Efficiency has a value of 1.33, Dependability has a value of 1.19, Stimulation has a value of 1.58 and Novelty has a value of 0.92. The six aspects have a value > 0.8 so that the parking application has a positive evaluation.

Pemanfaatan Sistem Informasi Akuntansi Dengan Accurate Online Yang Efektif Dalam Peraturan Work From Home (WFH) di Katering Kino Surakarta Budi Al Amin; Candra Agustina; Ahmad Fauzi
Jurnal Sistem Informasi Akuntansi Vol 2 No 2 (2021): Periode September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v2i02.959

Catering Kino is a catering that serves food orders at an event, generally weddings and seminars and factories. catering Kino is a caterer that puts forward service quality and an excellent taste image. In serving kino catering customers, customer satisfaction is prioritized from ordering to the quality of the food served and providing good facilities. So that to calculate so much inventory can be a burden on the mind for the business owner, which is basically the business owner doing it manually or just following his intuition about the amount of material needed. So we need an information system that provides accurate information. Based on the background of these problems, it is necessary to make changes by utilizing a digital or online accounting information system, namely by using the Accurate Online application. In designing a digital accounting information system, it is hoped that it can help the owner in managing the company's operations

Sistem Informasi Perusahaan Ekspedisi Muatan Kapal Laut Pada PT. Tirang Jaya Samudera Semarang Candra Agustina
Bianglala Informatika Vol 3, No 1 (2015): Bianglala Informatika 2015
Publisher : LPPM Universitas Bina Sarana Informatika

Abstract - Marine Freight Forwarding Company is a service company that takes care of cargo ships. Muatmeliputi process of renting containers / containers, transporting containers to the port, piling up goods at the port, to raise up the ship. Medium unloading process includes lowering the containers from the ship, sent to the destination. The process of loading and unloading of goods in ports of Tanjung Emas Semarang increasing. This should be followed by a good performance Expedition Ship Loads, one of which is PT Tirang Jaya Samudera.Salah one way in which the PT. Tirang Jaya ocean is changing the company's information systems and maximize computer resources that exist in the company. This is because in similar companies lack the human resources to the administration because the majority are field workers. Therefore, this study will create a system of information needed by the company. Permograman will be created using Visual Basic 6.0 with MySQL database. The program is used for data entry activities, resulting in the financial statements, the report loading, unloading reports, reports stack. In addition the program will generate a receipt or billing statement to a partner company. With this information system will increase the company's performance, and more efficient energy, time and cost. The information system also can reduce human error, speeding up the process of counting and financial reporting. Keywords: EMKL, Visual Basic, MySql Abstrak - Perusahaan Ekpedisi Muatan Kapal Laut adalah perusahaan jasa yang mengurus muatan kapal laut. Proses muatmeliputi menyewakan peti kemas/kontainer, mengangkut kontainer ke pelabuhan, menumpuk barang di pelabuhan, sampai menaikkan keatas kapal. Sedang proses bongkar meliputi menurunkan kontainer dari kapal, mengirim ke tujuan. Proses bongkar muat barang dipelabuhan Tanjung Emas Semarang semakin meningkat. Hal ini harus diikuti oleh meningkatnya kinerja perusahaan Ekpedisi Muatan Kapal Laut, salah satunya adalah PT Tirang Jaya Samudera.Salah satu cara yang dilakukan oleh PT. Tirang Jaya Samudera adalah merubah sistem informasi perusahaan dan memaksimalkan sumber daya komputer yang ada diperusahaan. Hal ini dikarenakan pada perusahaan sejenis minim sumber daya manusia yang mengurusi administrasi karena kebanyakan adalah pekerja lapangan. Oleh karena itu penelitian ini akan membuat sebuah sitem informasi yang dibutuhkan oleh perusahaan. Permograman akan dibuat menggunakan Visual Basic 6.0 dengan database MySql. Program digunakan untuk entri data kegiatan yang dilakukan, sehingga menghasilkan laporan keuangan, laporan bongkar, laporan muat, laporan tumpuk. Selain itu program akan menghasilkan kuitansi atau lembar penagihan kepada perusahaan rekanan. Dengan sistem informasi tersebut kinerja perusahaan akan meningkat dan lebih efisien tenaga, waktu dan biaya. Sistem informasi tersebut juga bisa mengurangi kesalahan manusia, mempercepat proses penghitungan dan pelaporan keuangan. Kata Kunci : EMKL, Visual Basic, MySql

IMPLEMENTASI ALGORITMA J48 DENGAN TEKNIK BAGGING UNTUK PREDIKSI KIPI PESERTA VAKSINASI COVID-19 Eka Rahmawati; Candra Agustina
Indonesian Journal of Business Intelligence (IJUBI) Vol 5, No 1 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i1.2072

The Covid 19 vaccination is considered to be the most effective way to prevent the spread of the Corona Virus, in addition to a clean lifestyle such as washing hands, wearing masks, and keeping a distance from other people. Several large vaccine manufacturing companies in the world have issued a product in the form of a Covid-19 vaccine with various levels of effectiveness. The vaccine is still being distributed throughout the world, including Indonesia. The vaccine obtained an emergency distribution permit from the authorized institution and was administered to community groups that meet the requirements. However, during the implementation of the vaccine, many AEFIs (Post Immunization Adverse Events) were found, such as dizziness, fever, headaches, and some even fainted. Although not dangerous but quite disturbing for people with solid activities. Therefore, it is necessary to predict whether participants will get AEFI or not. The data consists of 8 Attributes, after being processed using the J48 Algorithm, the results show that the attributes that have a strong influence are 7 Attributes, while the rest have no major effect. The accuracy level of the prediction model obtained is 91,22% with this level of accuracy, it means that the model can be utilized by the parties concerned to then be able to anticipate.

Perancangan E-learning Sebagai Media Pembelajaran Pada SMP Kartika XII-1 Magelang Sri Mulyani; Candra Agustina - AMIK BSI Yogyakarta
Indonesian Journal of Networking and Security (IJNS) Vol 6, No 1 (2017): IJNS Januari 2017
Publisher : APMMI - Asosiasi Profesi Multimedia Indonesia

Abstrak - SMP Kartika XII-1 yang berada di Magelang yang memiliki banyak siswa dan setiap siswa dibebankan dengan 12 mata pelajaran dengan durasi waktu ± 40 menit. Penumpukan materi terjadi karena durasi waktu di sekolah yang kurang efektif sehingga guru belum bisa memberikan latihan soal. Maka diperlukan adanya sebuah fasilitas pembelajaran yang memadai bagi para siswa. Tujuannya agar tidak terjadi penumpukan materi dan siswa dapat belajar dengan efektif, maka dibuatlah sebuah perancangan e-learning sebagai media pembelajaran pada SMP Kartika XII-1 Magelang. Dalam merancang sistem tersebut digunakan suatu metode berupa teknik pengumpulan data seperti observasi, wawancara dan studi pustaka. Metode pengembangan perangkat lunak yang digunakan adalah waterfall untuk menunjang keefektifan sistem tersebut dibutuhkan suatu koneksi internet dan sumber daya manusia yang mampu mengoperasikan sistem tersebut. Hasil dari perancangan sistem e-learning tersebut antara lain terdapat latihan soal, download materi dan forum siswa dengan guru. Yang diharapkan dapat memberikan manfaat berupa latihan soal sebagai pengukur kemampuan pemahaman siswa terhadap materi yang diberikan oleh guru. Kata Kunci: SMP Kartika XII-1 Magelang, E-learning, Media Pembelajaran Abstract - SMP Kartika XII-1 Magelang located in Magelang which has many students and each student is charged with 12 subjects with duration of ± 40 minutes. Accumulation of material occurs due to the duration of time in school are less effective, so the teacher can not give exercises. It is necessary to have an adequate learning facilities for students. Aim to avoid the bulidup of materials and students can learn effectively, then made a design of e-learning as a medium of learning in SMP Kartika XII- Magelang. In designing these systems use a method in the form of data collection techniques such as observation, interviews and literature. Software development method used is waterfall to support the effectiveness of the system needed an internet connection and human resources able to operate the system. The results of e-learning system design, among others, there are exercises, download material and student forum with teachers. Which is expected to provide benefits in the form of exercises as a measure of the ability of students understanding of the material provided by the teacher. Keywords : SMP Kartika Magelang XII - 1 , E –learning, Instructional Media

Aplikasi Mobile Berbasis Android Untuk Pemasaran Pariwisata Alternatif Di Kecamatan Borobudur Candra Agustina - AMIK BSI Yogyakarta
Indonesian Journal of Networking and Security (IJNS) Vol 5, No 3 (2016): IJNS Juli 2016
Publisher : APMMI - Asosiasi Profesi Multimedia Indonesia

Abstact - Borobudur is already known as a tourist spot since 1980, is managed by PT. Taman Wisata Candi Borobudur. The existence of the temple brought about major changes in the population, especially in the field of economy. Many tourism businesses established both personal and large enterprises, lodging inns to star hotels have sprung up around a lot of Borobudur. The development is followed by the emergence of alternative tourist places around Borobudur. Examples of alternative tourist spot in Borobudur is Punthuk Setumbu, Sukmojoyo Peak, Watu Kendil, Mongkrong Peak, Camera House and many have lagi.Tempat the uniqueness of each, which is not found elsewhere. To further popularize the tourist spots such alternative made android based applications. Applications have been selected for addition to easily android platform is most widely used today. Applications were made aiming to promote tourist spots such. In the application form will be available menu alternative tourist spot, when at select one meal menu will show photos and descriptions of the place. Before it is uploaded to Google PlayStore applications in test by way of blackbox testing with results as expected. Keyword : Android, Borobudur Tourism, Promotion. Abstrak - Borobudur sudah dikenal sebagai tempat wisata sejak tahun 1980, dikelola oleh PT. Taman Wisata Candi Borobudur. Keberadaan Candi tersebut membawa perubahan besar pada penduduk sekitar terutama di bidang perekonomian. Banyak usaha wisata didirikan baik personal maupun perusahaan besar, penginapan losmen sampai hotel berbintang banyak bermunculan disekitar Candi Borobudur. Perkembangan tersebut diikuti dengan munculnya tempat-tempat wisata alternatif disekitar Candi Borobudur. Contoh tempat wisata alternatif di Borobudur adalah Punthuk Setumbu, Puncak Sukmojoyo, Watu Kendil, Puncak Mongkrong, Rumah Kamera dan masih banyak lagi.Tempat tersebut mempunyai keunikan masing-masing, yang tidak ditemui ditempat lain. Untuk lebih mempopulerkan tempat-tempat wisata alternatif tersebut dibuat aplikasi berbasis android. Aplikasi ini dipilih karena selain mudah juga android merupakan platform paling banyak digunakan saat ini. Aplikasi yang dibuat bertujuan untuk mempromosikan tempat-tempat wisata tersebut. Dalam aplikasi akan tersedia menu berupa menut tempat wisata alternatif, ketika di pilih salah satu menu akan akan tampil foto dan keterangan tempat tersebut. Sebelum diupload di Google Playstore aplikasi di ujian dengan cara blackbox Testing dengan hasil sesuai dengan yang diharapkan. Kata Kunci : Android, Wisata Borobudur, Promosi.

Optimasi Naive Bayes Menggunakan Particle Swarm Optimization Untuk Meningkatkan Akurasi Deteksi Autisme Spectrum Disorder Candra Agustina - AMIK BSI Yogyakarta
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 7, No 1 (2015): Speed 2015
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Abstract - The number of Autism and Spectrum Autism sufferers in Indonesia is increasing every year. By 2015 an estimated 1 in 250 children have autism, there are 12,800 autistic children or 134,000 people with autism spectrum. Will be able to detect Autistic Spectrum Disorder sufferers today is still difficult and takes a relatively long time. In the world of mental health, to perform their diagnosis on the Diagnostic and Stastistical Manual of Mental Disorder issued by the American Psychiatric Association. Several previous studies have made machine learning for ASD placement based on DSM-5. This study uses datasets from previous research results uploaded in the University of California Irvine machine learning data repository with the title Data Screening Spectrum Autism Spectrum for Adults. The data obtained is then processed using Naïve Bayes and Naïve Bayes algorithms with Particle Swarm Optimization. The data generated as much as 704 data which is then divided into 2 groups of data that is Data Training Total 563 and Data Testing tool 141. The data is then processed with the help of rapidminer software with a model that has been selected previously. From result of data processing result of data processing with naïve bayes yielded data equal to 92,91% and data processing with naïve bayes using Particle Swarm Optimization Algorithm give value equal to 98,51%.Keyword : Autistic Spectrum Disorder, Naïve Bayes, Particle Swarm Optimization, Optimation Abstrak - Jumlah penderita Autisme dan Spektrum Autis di Indonesia mengalami peningkatan setiap tahun. Pada tahun 2015 diperkirakan 1 dari 250 anak menderita autism, artinya ada 12.800 anak penyandang autisme atau 134.000 penyandang spektrum Autis. Akan tetapi deteksi penderita Autistic Spectrum Disorder sekarang ini masih sulit untuk dilakukan dan memerlukan waktu yang relative lama. Dalam dunia kesehatan jiwa, untuk melakukan diagnosa mereka mengacu pada Diagnostic and Stastistical Manual of Mental Disorder yang dikeluarkan oleh American Psychiatric Assosiasi. Beberapa penelitian sebelumnya sudah membuat machine learning untuk mendeteksi ASD berdasarkan DSM-5. Penelitian ini menggunakan dataset dari hasil penelitian sebelumnya yang diunggah di University of California Irvine machine learning data repository dengan judul Autistic Spectrum Disorder Screening Data for Adult. Data yang didapatkan kemudian diolah menggunakan algoritma Naïve Bayes dan Naïve Bayes dengan Particle Swarm Optimization. Data yang diperoleh sebanyak 704 data yang kemudian dibagi kedalam 2 kelompok data yaitu Data Training sejumlah 563 dan Data Testing berjumlah 141. Data tersebut kemudian diolah dengan bantuan software rapidminer dengan model yang sudah ditentukan sebelumnya. Dari hasil pengolahan data didapatkan bahwa pengolahan data dengan naïve bayes menghasilkan akurasi sebesar 92,91% dan pengolahan data dengan naïve bayes yang digabungkan dengan Algoritma Particle Swarm Optimization memberikan akurasi sebesar 98,51%.Kata Kunci : Autistic Spectrum Disorder, Naïve Bayes, Particle Swarm Optimization, Optimasi

Optimasi Naive Bayes Menggunakan Particle Swarm Optimization Untuk Meningkatkan Akurasi Deteksi Autisme Spectrum Disorder Candra Agustina - AMIK BSI Yogyakarta
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 10, No 1 (2018): Speed 2018
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55181/speed.v10i1.514

Abstract - The number of Autism and Spectrum Autism sufferers in Indonesia is increasing every year. By 2015 an estimated 1 in 250 children have autism, there are 12,800 autistic children or 134,000 people with autism spectrum. Will be able to detect Autistic Spectrum Disorder sufferers today is still difficult and takes a relatively long time. In the world of mental health, to perform their diagnosis on the Diagnostic and Stastistical Manual of Mental Disorder issued by the American Psychiatric Association. Several previous studies have made machine learning for ASD placement based on DSM-5. This study uses datasets from previous research results uploaded in the University of California Irvine machine learning data repository with the title Data Screening Spectrum Autism Spectrum for Adults. The data obtained is then processed using Naïve Bayes and Naïve Bayes algorithms with Particle Swarm Optimization. The data generated as much as 704 data which is then divided into 2 groups of data that is Data Training Total 563 and Data Testing tool 141. The data is then processed with the help of rapidminer software with a model that has been selected previously. From result of data processing result of data processing with naïve bayes yielded data equal to 92,91% and data processing with naïve bayes using Particle Swarm Optimization Algorithm give value equal to 98,51%.Keyword : Autistic Spectrum Disorder, Naïve Bayes, Particle Swarm Optimization, Optimation Abstrak - Jumlah penderita Autisme dan Spektrum Autis di Indonesia mengalami peningkatan setiap tahun. Pada tahun 2015 diperkirakan 1 dari 250 anak menderita autism, artinya ada 12.800 anak penyandang autisme atau 134.000 penyandang spektrum Autis. Akan tetapi deteksi penderita Autistic Spectrum Disorder sekarang ini masih sulit untuk dilakukan dan memerlukan waktu yang relative lama. Dalam dunia kesehatan jiwa, untuk melakukan diagnosa mereka mengacu pada Diagnostic and Stastistical Manual of Mental Disorder yang dikeluarkan oleh American Psychiatric Assosiasi. Beberapa penelitian sebelumnya sudah membuat machine learning untuk mendeteksi ASD berdasarkan DSM-5. Penelitian ini menggunakan dataset dari hasil penelitian sebelumnya yang diunggah di University of California Irvine machine learning data repository dengan judul Autistic Spectrum Disorder Screening Data for Adult. Data yang didapatkan kemudian diolah menggunakan algoritma Naïve Bayes dan Naïve Bayes dengan Particle Swarm Optimization. Data yang diperoleh sebanyak 704 data yang kemudian dibagi kedalam 2 kelompok data yaitu Data Training sejumlah 563 dan Data Testing berjumlah 141. Data tersebut kemudian diolah dengan bantuan software rapidminer dengan model yang sudah ditentukan sebelumnya. Dari hasil pengolahan data didapatkan bahwa pengolahan data dengan naïve bayes menghasilkan akurasi sebesar 92,91% dan pengolahan data dengan naïve bayes yang digabungkan dengan Algoritma Particle Swarm Optimization memberikan akurasi sebesar 98,51%.Kata Kunci : Autistic Spectrum Disorder, Naïve Bayes, Particle Swarm Optimization, Optimasi

Klasterisasi Objek Wisata Menggunakan Jaccard Similarity Coefficient Berdasarkan Attraction, Accessability, Amenity dan Ancilarry Service Candra Agustina; Eka Rahmawati
Evolusi : Jurnal Sains dan Manajemen Vol 11, No 1 (2023): Jurnal Evolusi 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v11i1.15114

Abstract The tourism industry is back on track after being quiet for a long time due to the Covid-19 pandemic. Currently tourism activists are intensively promoting. In various regions, new tourist destinations have emerged, both managed by large companies and groups of people. In order to realize a good and sustainable tourism industry, it is necessary to carry out coaching and coaching in all of these tourist destinations. In developing the tourism industry, a component known as 6A is known, namely Attraction, Accessibility, Activities, Ancillary Service and Available Packages. Each component has sub-indicators that form the basis of data collection. Of the 6 components, tourist destinations will be clustered, the results of the clustering can be used for various purposes, such as development plans by related agencies, or for recommendations to tourists to determine destinations. The dataset obtained will be processed using the CBR (Case Base Reasoning) technique using the Jaccard Similarity Coefficient algorithm because it is an algorithm that is simple and easy to apply to binary data. From framework 6A, an application will be created to input new data that will be clustered. The output of the application is a collection of data that has been input.Keyword : Jaccard Similarity Coefficient, Tourism, 4A ComponentAbstrakIndustri pariwisata kembali menggeliat setelah sekian lama sepi karena pandemi Covid-19. Saat ini penggiat pariwisata sedang gencar untuk melakukan promosi. Pada berbagai wilayah, muncul destinasi wisata baru, baik dikelola perusahaan besar maupun sekelompok masyarakat. Agar terwujud industri pariwisata yang baik dan berkelanjutan maka perlu dilakukan pemantauan dan pembinaan pada seluruh destinasi wisata tersebut. Dalam mengembangkan industri pariwisata, dikenal komponen yang dinamakan 6A, yaitu Attraction, Accessbility, Activities, Ancillary Service dan Available Package. Masing-masing komponen mempunyai sub indikator yang menjadi dasar untuk pengumpulan data. Dari ke 6 komponen tersebut destinasi wisata akan di klasterisasi, hasil klasterisasi dapat digunakan untuk berbagai kepentingan semisal rencana pembinaan oleh dinas terkait, ataupun untuk rekomendasi kepada wisatawan untuk menentukan tujuan. Dataset yang diperoleh akan diolah dengan Teknik CBR (Case Base Reasoning) menggunakan algoritma Jaccard Similarity Coefficient karena merupakan algoritma yang sederhana dan mudah diaplikasikan untuk data biner. Dari framework 6A, akan dibuat aplikasi untuk menginput data baru yang akan diklasterisasi. Adapun output dari aplikasi adalah kelompok data yang telah diinput.Kata Kunci : Jaccard Similarity Coefficient, Pariwisata, Komponen 4A

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