Sistemasi Jurnal Sistem Informasi最新文献

{"title":"Implementation of Student Satisfaction Information System to the Final Project Services","authors":"Rahimullaily Rahimullaily, Rahmadini Darwas, Afdiko Saputra","doi":"10.32520/stmsi.v11i1.1399","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1399","url":null,"abstract":"The final project service is a supervision service from the lecturer for students who prepare the final project. Satisfactory service can be an effective promotion to prospective students. The Quality Control Group (GKM) of STMIK Indonesia Padang carries out one of their responsibilities, namely analyzing student satisfaction with final assignment services as an evaluation of the performance of final assignment supervisors and also to improve final assignment services. Therefore, we need an information system that can help GKM employees obtain accurate results to analyze student satisfaction. The system development method used is to use an object-oriented methodology. The website-based information system that was built (named WALTA (Final Project Service Satisfaction Analysis Website)) used the Likert scale measurement method to measure the level of student satisfaction with the services of the final assignment supervisor with 5 category levels, namely very satisfying, satisfying, quite satisfying, less satisfying and unsatisfactory. The existence of WALTA, GKM STMIK Indonesia Padang employees worked more effectively and efficiently because there was no need to collect students locally to fill out the questionnaire, no need to print out the questionnaire and process the questionnaire data, and the results of the questionnaire were immediately displayed on WALTA. 32 lecturers supervised the final assignment of Odd Semester 2018/2019. It was found 9 lecturers provided final assignment services with a very satisfying category and 23 lecturers with a satisfactory category. Furthermore, the results of this assessment were one of the lecturers' performance evaluation instruments.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77849904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of Fuzzy C-Means to Determine Student Satisfaction Levels in Online Learning","authors":"Nurdin S.Kom., M.Kom (SCOPUS ID=ID: 57201646662), Uci Mutiara Putri Nasution, Hafizh Al Kautsar Aidilof, B. Bustami","doi":"10.32520/stmsi.v11i1.1638","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1638","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90227678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Analysis of Random Forest Using Attribute Normalization","authors":"Arie Nugroho, Abdullah Husin","doi":"10.32520/stmsi.v11i1.1681","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1681","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76376888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Cloud Storage Services Using PIECES Method","authors":"R. Wulandari, Johan J. C. Tambotoh","doi":"10.32520/stmsi.v11i1.1700","DOIUrl":"https://doi.org/10.32520/stmsi.v11i1.1700","url":null,"abstract":"Cloud Computing has become increasingly popular in this technological era. Cloud computing offers various services, including cloud storage to store data. Accordingly, this study seeks to evaluate cloud storage services using the PIECES method. The PIECES method is used mainly for the Performance, Data and Information, Control and Security, Efficiency, and Service variables. This research employs a quantitative approach by relying on the survey technique to generate data and the Structural Equation Modeling (SEM) to analyze the data. The results demonstrate that 6 (six) hypotheses are empirically supported, and 1 (one) is not supported. In particular, the hypothesis that predicts Control and Security affect Service exhibits a coefficient of 0.233 (t-statistic <1.96).","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81638883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengembangan Media Interaktif Gerakan Yoga Berbasis Mobile Android Menggunakan Metode User Centered Design","authors":"Melinne Maldini Rosady, Banu Santoso","doi":"10.32520/stmsi.v10i3.1345","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1345","url":null,"abstract":"AbstrakPerubahan gaya hidup masyarakat Indonesia sebagian sudah mengarah ke pola kehidupan modern. Peningkatan ilmu dan teknologi yang sangat berkembang pada masa kini secara tidak langsung cenderung membuat tubuh jadi kurang bergerak (low body movement). Pada zaman milenial ini olahraga sangatlah diperlukan, selain untuk menjaga agar tubuh tetap sehat, olahraga juga dapat membuat badan menjadi lebih ideal. Kini kian banyak orang yang memperlakukan yoga sebagai kebutuhan utama, bukan semata gaya hidup. Yoga ini diyakini banyak orang bermanfaat bagi kesehatan fisik dan psikis. Yoga merupakan seni olah tubuh, pernafasan, dan pikiran dalam bentuk gerakan-gerakan yang bersifat flowing, continue dinamis, ataupun gerakan yang ditahan dalam beberapa kali hitungan dan dibantu dengan olah pernafasan dan meditasi ringan. Oleh karena itu dalam penelitian ini diajukan suatu aplikasi membuat Media Interaktif berbasis mobile android gerakan yoga sebagai media pembelajaran tentang Gerakan yoga yang memiliki kemampuan dalam membantu user dan sesuai dengan kebutuhan user. Pada penelitian ini pengalaman pengguna aplikasi gerakan yoga di evaluasi dengan 2 metode yaitu User-Centered Design (UCD) dan System Usability Scale (SUS). Pada pengujian UCD dilakukan saat mulainya perancangan sebuah aplikasi, sedangkan selanjutnya aplikasi di uji kelayakan dengan menggunakan metode SUS. Hasil penelitian pembuatan Media Interaktif Gerakan Yoga berbasis mobile android memperoleh skor kelayakan sebesar 75,3% atau masuk dalam kategori B (Baik).Kata Kunci: media interaktif, yoga, aplikasi android, user centered design, system usability scale AbstractPart of the change in the lifestyle of the Indonesian people has led to modern life patterns. Increasing science and technology, which is significantly developed today, indirectly tends to make the body less mobile (low body movement). In this millennial era, exercise is essential. Apart from keeping the body healthy, exercise can also make the body more ideal. Now more and more people treat yoga as a primary need, not just a lifestyle. Many people believe yoga to be beneficial for physical and psychological health. Yoga is the art of exercising the body, breathing, mind in flowing, continuous dynamic movements, or movements held for several counts and assisted by breathing exercises and light meditation. Therefore, in this study, an application is proposed to create interactive media based on mobile android yoga movements as a learning medium about yoga movements that can help users according to user needs. In this study, the user experience of the yoga movement application was evaluated by two methods, namely the User-Centered Design (UCD) and the System Usability Scale (SUS). The UCD test is carried out at the start of designing an application, while then the application is tested for feasibility using the SUS method. The research results on mobile Android-based Yoga Movement Interactive Media obtained a feasibility score of 75.3% o","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72526837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sistem Pendukung Keputusan Menggunakan Metode FUCOM-MOORA untuk Penentuan Maskapai Favorit","authors":"Gede Surya Mahendra","doi":"10.32520/stmsi.v10i3.1386","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1386","url":null,"abstract":"Abstrak Sejak dikeluarkannya berupa serangkaian langkah deregulasi pada tahun 1999, perkembangan industri jasa udara Indonesia semakin berkembang. Namun masih terdapat fakta bahwa banyak maskapai mengalami berbagai kendala sebelum dan selama penerbangan. Pada tahun 2021 saja, terdapat berbagai permasalahan pada pesawat maskapai mulai dari masalah mesin, kendala teknis, kerusakan ban, gangguan cockpit, hingga masalah tekanan udara. Pelanggan maskapai memiliki pertimbangan serta preferensi pribadi untuk memilih maskapai perjalanannya. Banyaknya pilihan maskapai serta banyaknya pertimbangan seringkali membingungkan pelanggan. Untuk menanggulangi hal tersebut, sistem pendukung keputusan (SPK) dapat dipergunakan untuk memberikan rekomendasi dalam memilih maskapai yang sesuai dengan pilihan pelanggan. Penelitian ini telah berhasil mengimplementasikan FUCOM-MOORA dalam penentuan maskapai favorit di Indonesia berdasarkan narasumber yang dilakukan sampling, dengan menggunakan 8 kriteria dan 6 alternatif yang diujikan. Pada perhitungan pembobotan kriteria menggunakan FUCOM menunjukkan bahwa faktor harga (C5) merupakan faktor yang paling diperhitungkan. Perhitungan menggunakan FUCOM-MOORA menunjukkan bahwa Garuda Indonesia menjadi maskapai favorit di Indonesia dengan nilai preferensi sebesar 0,30204, disusul dengan Citilink menjadi maskapai favorit kedua, Batik Air menempati peringkat ketiga. Pengujian menggunakan analisis konsistensi menunjukkan bahwa Garuda Indonesia tetap stabil menjadi pilihan pertama dengan menempati 15 kali peringkat teratas dari 17 pengujian dengan rata-rata sebaran peringkat sebesar 1,23466. Kata kunci: FUCOM, MOORA, SPK, Maskapai, Indonesia Abstract Since the issuance of a series of deregulation steps in 1999, the development of Indonesia's air services industry has continued to develop. However, there is still the fact that many airlines experience various problems before and during the flight. In 2021 alone, there will be various problems with airline aircraft ranging from engine problems, technical problems, tire damage, cockpit problems, to air pressure problems. Airline customers have personal considerations and preferences in choosing their travel carrier. The many choices of airlines and many considerations often confuse customers. To overcome this, a decision support system ( DSS) can be used to provide recommendations in selecting airlines that are in accordance with customer preferences. This research has successfully implemented FUCOM-MOORA in determining the favorite airlines in Indonesia based on resource persons who were sampled, using 8 criteria and 6 tested alternatives. In calculating the weighting of the criteria using FUCOM, it shows that the price factor (C5) is the most calculated factor. Calculations using FUCOM-MOORA show that Garuda Indonesia is the favorite airline in Indonesia with a preference value of 0.30204, followed by Citilink being the second favorite airline, Batik Air in third place. Testing using","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88626559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisa Performa Penggunaan Feature Selection untuk Mendeteksi Intrusion Detection Systems dengan Algoritma Random Forest Classifier","authors":"S. Budiman, Andi Sunyoto, Asro Nasiri","doi":"10.32520/stmsi.v10i3.1550","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1550","url":null,"abstract":"Abstrak Semakin penting koneksi data melalui Internet membuat kebutuhan akan keamanan jaringan data semakin meningkat. Salah satu tools yang penting adalah Intrusion detection systems (IDS). Salah satu hal yang menjadi masalah dari penggunaan IDS adalah performan kecepatan untuk mendeteksi data yang semakin banyak dalam waktu yang singkat. Dalam penelitian ini kami akan melakukan analisa perbandingan performa IDS menggunakan features selection dengan algoritma Random Forest Classifier yang disimulasikan pada dataset UNSW-NB15, yaitu dataset simulasi serangan pada jaringan network yang dikembangan oleh Nour Moustafa & Jill Slay dari University of New South Wales pada Australian Defence Force Academy . Tujuan dari penelitian ini adalah mempercepat waktu proses Intrusion detection systems dengan machile learning . Penelitian dilakukan dengan 2 tahap, yaitu tahap pertama tanpa features selection dan tahap kedua dengan features selection ExtraTreesClassifier . Masing-masing tahap dilakukan dengan beberapa kali pengujian dengan persentasi testing dan training data yang berbeda. Hasil penelitian menunjukan bahwa penggunaan features selection dapat mempercepat waktu proses pendeteksian dengan menggunakan Random Forest Classifier , walaupun ada sedikit penurun akurasi dibawah 1%. Kata kunci: feature selection, random forest, ids, machine learning Abstract Internet data connection is very important, therefore it will increasing the security issues. One of the important tools is Intrusion detection systems (IDS). The main problems of using IDS is the speed performance to detect more and more data in a short time. In this study, we will perform a comparative analysis of IDS performance using features selection with the Random Forest Classifier algorithm which is simulated on the UNSW-NB15 dataset, which is work as the attack simulation dataset on the network developed by Nour Moustafa & Jill Slay from the University of New South Wales at the Australian Defense Force Academy. The purpose of this research is to speed up the processing time of Intrusion detection systems with machile learning. The research was conducted in 2 stages, the first stage without features selection and the second stage with features selection. Each stage is carried out with several study using different percentages of testing and training data. The results showed that by using features selection, it can speed up the detection process time using the Random Forest Classifier, although there is a slight decrease in accuracy below 1%. Keywords: feature selection, random forest, ids, machine learning","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76788192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Kebutuhan Kualitas Data dan Aturan Bisnis Data Pendidikan","authors":"Anton Rahmansyah Sumadi, Nori Wilantika","doi":"10.32520/stmsi.v10i3.1381","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1381","url":null,"abstract":"P Abstrak Politeknik Statistika STIS sebagai organisasi pendidikan tinggi harus memenuhi kebutuhan data penyelengaraan pendidikan yang diperlukan Pangkalan Data Pendidikan Tinggi (PDDikti) secara berkala. Penelitian sebelumnya menemukan bahwa Politeknik Statistika STIS memiliki masalah untuk memenuhi dimensi kualitas data yang dibutuhkan oleh PDDikti. Salah satu akar masalah yang menyebabkan kualitas data yang rendah pada organisasi Politeknik Statistika STIS adalah kurangnya kegiatan manajemen kualitas data dalam organisasi sehingga kualitas data tidak termonitor dengan baik. Penelitian ini bertujuan untuk melakukan kegiatan manajemen kualitas data yaitu mendefinisikan kebutuhan kualitas data dan mendefinisikan aturan kualitas data organisasi dalam bidang pendidikan, penelitian, dan pengabdian masyarakat. Metode pengumpulan data dalam penelitian ini terdiri dari studi dokumen, observasi, dan wawancara. Tahapan-tahapan analisis penelitian ini berhasil mengidentifikasi 15 proses bisnis, 12 aktor proses bisnis, dan 31 entitas data. Kebutuhan kualitas data Politeknik Statistika STIS berdasarkan penelitian ini adalah kelengkapan, akurasi, kebenaran, konsistensi, ketepatan waktu, kewajaran, keterkinian, dan keterlacakan. Dimensi kebutuhan kualitas data yang paling banyak ditemukan adalah kelengkapan dan akurasi. Penelitian ini berhasil mengidentifikasi 243 aturan kualitas data dan berhasil menyusun matriks penilaian kualitas data sebagai salah satu acuan yang diajukan untuk mengevaluasi kualitas data organisasi Politeknik Statistika STIS yang berhubungan dengan penyelenggaraan pendidikan akademik, penelitian, dan pengabdian masyarakat. Kata kunci : kualitas data, kebutuhan kualitas data, aturan kualitas data Abstract Polytechnic of Statistics STIS as a higher education organization should periodically fulfill the requirement of education data provided by Pangkalan Data Pendidikan Tinggi (PDDikti). Previous research found that Polytechnic of Statistics STIS has problem to fulfill the data quality dimension required by PDDikti. One of the root cause of insufficient data quality on Polytechnic of Statistics STIS’s organization is the lack of data quality management activity on the organization, thus resulting in lack of data quality monitoring. This research’s objective is to conduct data quality management activities consisting of to define data quality requirement and to define data quality rules in scope of education, research, and community service. Data collection methods used in this research were document studies, observations, and interviews. Research’s data analysis managed to identify 15 business processes, 12 process business actors, and 3 1 data entities. T he data quality requirement s of Polytechnic of Statistics STIS according of this research are completeness, accuracy, validity, consistency, timeliness, reasonableness, currency, and lineage. The most discovered dimensions of data quality requirement are completeness and accuracy. This re","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84313912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN)","authors":"Fani Nurona Cahya, Nila Hardi, Dwizah Riana, sri hadiyanti","doi":"10.32520/stmsi.v10i3.1248","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1248","url":null,"abstract":"Abstrak Gangguan pada mata atau disebut juga penyakit mata adalah suatu kondisi yang mampu mempengaruhi jangka waktu hidup bagi sebagian orang. Gangguan mata atau penyakit mata banyak sekali jenisnya, diantaranya yaitu katarak, glaukoma dan retina disease . Gangguan atau penyakit mata tersebut merupakan penyebab kebutaan yang paling sering terjadi. Melihat dari uraian tersebut, penting sekali untuk mendeteksi penyakit mata atau kelaianan sebelum terjadi kebutaan. Penelitian  ini bertujuan untuk klasifikasi penyakit mata menggunakan Convolutional Neural Network (CNN) berarsitekstur Alexnet dengan pembaruan berupa menggunakan 4 kelas yang membutuhkan 3 tahap proses yaitu melakukan tahap pre-processing yang menghasilkan ukuran citra menjadi 224x224px. Tahap selanjutnya adalah ekstraksi fitur dengan 3 layer yaitu Convutional Layer, Pooling Layer, Fully Connected Layer , Pada implementasi CNN menggunakan 150 epoch. Hasil akurasi dari penelitian klasifikasi penyakit mata menggunakan  metode CNN adalah 98.37%. Kata kunci: penyakit mata, klasifikasi, convolutional neural network (CNN) Abstract An eye disorder, also called a disease of the eye, is a condition that can affect the lifespan of some people. Eye disorders or diseases of which there are many types, including kataraks, glaukoma and retina disease. This eye disorder or disease is the most common cause of blindness. Seeing from the description. It is very important to detect eye disease or negligence before blindness occurs This study aims to classify eye diseases using the Alexnet textured Convolutional Neural Network (CNN) with an update in the form of using 4 classes that require 3 stages of the process, namely conducting ahap pre-processing which results in an image size of 224x224px. The next stage is Feature Extraction with 3 layers, namely Convutional Layer, Pooling Layer, Fully Connected Layer, the implementation of the Convolutional Neural Network implementation uses 150 epochs. The accuracy of the eye disease classification study using the Convolutional Neural Network method was 98.37%. Keywords: eye disease, classification, convolutional neural network (CNN).","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89263528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengembangan dan Testing Marker 3D Printed Model pada Augmented Reality Planet Tata Surya","authors":"Ika Asti Astuti, A. Mahardika","doi":"10.32520/stmsi.v10i3.1465","DOIUrl":"https://doi.org/10.32520/stmsi.v10i3.1465","url":null,"abstract":"Abstrak Teknologi Augmented Reality memungkinkan digunakan untuk menampilkan bentuk 3D objek serta informasi dari sebuah planet dalam tata surya. Pembelajaran tata surya seringkali menggunakan sebuah alat peraga berupa planet-planet berbentuk bulat yang ditempel pada sebuah tiang. Penggunaan marker 3D printed model dimaksudkan untuk memberikan kesan nyata pada marker seperti yang ada pada alat peraga pembelajaran tata surya. Masalah yang mungkin timbul adalah apakah aplikasi dapat mengenali bentuk planet yang memiliki bentuk dasar yang sama (bulat) dan bagaimana efektifitas pengujian marker 3D printed model ini terhadap jarak dan sudut. Maka dari itu, penelitian ini melakukan eksperimen terhadap planet yang memiliki bentuk dasar sama (bulat) untuk melihat apakah aplikasi Augmented Reality yang dibuat dapat mengenali bentuk planet yang diminta, serta eksperimen marker 3D printed model ini terhadap jarak dan sudut deteksi marker. Berdasarkan perolehan point-point yang didapat dari pengujian menunjukkan bahwa persentase marker yang telah diuji berdasarkan sudut dan jarak mempunyai nilai ke akuratan ≥50%. Dari segi sudut, semua marker memiliki nilai persentase keakuratan sebesar 100% sedangkan dari segi jarak, persentase akurasi yang dimiliki mars dan saturnus sama yaitu 50%, yang terakhir bumi memiliki persentase 75% pada pengujian jarak. Kata kunci: 3d printed model, augmented reality, eksperimen jarak, eksperimen sudut Abstract Augmented reality technology can be used to display 3D shapes of objects and information from a planet in the solar system. Learning the solar system usually uses educational props. The use of 3D printed model markers is intended to give a real impression on markers such as those on solar system learning props. The problem that may arise is whether the application can recognize the shape of the planet that has the same basic shape (spherical) and how effective is the testing of the 3D printed marker model on distances and angles. Therefore, this study conducted experiments on planets that have the same basic shape (spherical) to see if the Augmented Reality application made can recognize the shape of the requested planet, as well as experiments with 3D printed marker models on the distance and angle of marker detection. The results of this study prove that the application can recognize several kinds of planets and each marker has a good marker detection at a certain distance and angle. Keywords: 3d printed model, augmented reality, distance experiment, angle experiment","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89561463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}