Jurnal Informatika Jurnal Pengembangan IT最新文献

{"title":"Peran Framework ITIL V3 Mengukur Kualitas Layanan TI (Studi Kasus : Perpustakaan UAJY)","authors":"Ignasius Boli Suban, Andi W.R. Emanuel","doi":"10.30591/JPIT.V5I2.1844","DOIUrl":"https://doi.org/10.30591/JPIT.V5I2.1844","url":null,"abstract":"Pemberian pelayanan kepada pelanggan dapat dilakukan dengan memanfaatkan kemajuan teknologi informasi. Hal ini bertujuan untuk memberikan kepuasan kepada pelanggan. Salah satu organisasi yang berhubungan dengan bagian pelayanan adalah perpustakaan. Studi kasus dalam paper ini dilakukan pada perpustakaan Universitas Atma Jaya Yogjakarta (UAJY). Perpustakaan Universitas Atma Jaya Yogjakarta telah memanfaatkan kemajuan teknologi untuk meningkatkan pelayanan terhadap pengunjung. Kemajuan teknologi juga dimanfaatkan oleh staf perpustakaan Universitas Atma Jaya Yogjakarta untuk proses monotoring dan evaluasi. Oleh karena itu penulis ingin mengukur kualitas layanan teknologi informasi di perpustakaan Universitas Atma Jaya Yogjakarta. Tujuan yang ingin dicapai adalah mengetahui kualitas layanan teknologi informasi pada perpustakaan Universitas Atma Jaya Yogjakarta melalui pemberian level  dari level 0 hingga level 5. Penulis melakukan proses pengukuran kualitas layanan teknologi informasi mengunakan framework Information Technology Infrastructure Library (ITIL) V3. Hal ini dikarenakan framework ITIL memiliki manfaat dan kelebihan dalam melakukan proses pengukuran tingkat kualitas layanan teknologi informasi. Teknik pengumpulan data menggunakan kuisoner. Berdasarkan pengukuran tingkat kualitas layanan teknologi informasi menggunakan framework ITIL V3, layanan teknologi informasi pada perpustakaan Universitas Atma Jaya Yogjakarta masuk pada level 3 yaitu, prosedur dan instruksi pekerjaan telah distandarisasikan dan didokumentasikan.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45705543","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":"Implementasi Metode SCRUM dalam Perancangan Produk Backlog Sistem Cerita Desa","authors":"Lia Farokhah, F. Ahda, Lilis Widayanti, V. Fitria","doi":"10.30591/JPIT.V5I1.1658","DOIUrl":"https://doi.org/10.30591/JPIT.V5I1.1658","url":null,"abstract":"Abstract  The village is the smallest part of governance. Data from the Central Statistics Agency in 2018, villages have poverty greater than cities. The village has various weaknesses and strengths such as economics, psychology, engineering, skills, capital, successful application of hydroponic agriculture and others. On the other hand, collages have mandatory programs for the entire academic such as society dedication, research and internship programs for students. In the business sector, there are companies that are required to carry out CSR (Corporate social responsibility) to follow regulations in Indonesia. The problem of all actors is the inaccurate target of the distribution of aid in their soft skills and hard skills to bring their contribution to village development. Documentation and classification of problems and strengths in the village need to be mapped. Both of these relationships will be mutually beneficial subjects and objects in a development cycle. This study will examine the importance of the backlog product of the system model that will be developed using the SCRUM method. The results of the level of importance and priority of the backlog product will be used in system development and have an influence in determining the next stage of the Scrum method namely sprint planning meeting, sprint execution and scrum analysis. The results of the college backlog priority analysis are facilities 1,3,4,5,8,2 and 6. On the other hand, the priority order of backlog products for villages / communities is facility 1, 4,2,3,6,7,9, and 8 while Facility 5 is a very undesirable only 36%. The conclusions of the synchronization of two stakeholders based on their respective needs are facility 1, which is about the community's need for assistance from tertiary institutions and the needs of objects by tertiary institutions. Abstrak - Desa merupakan bagian terkecil dalam tata kelola pemerintahan. Data Badan Pusat Statistik tahun 2018, desa memiliki tingkat kemiskinan lebih besar dari kota. Desa memiliki berbagai kekurangan dan kelebihan seperti masalah, perekonomian, psikologi, bidang teknik, skill, permodalan, keberhasilan penerapan pertanian hidroponik dan yang lainnya. Disisi lain, perguruan tinggi memiliki banyak program wajib untuk seluruh civitas akademika dosen seperti pengabdian, penelitian dan program magang atau kuliah kerja nyata (KKN) bagi mahasiswa. Pada bidang bisnis, ada perusahan yang wajib melakukan CSR (Corporate social responsibility) sesuai aturan yang diberlakukan di Indonesia. Permasalahan ketiga aktor tersebut adalah kurang tepatnya sasaran penyaluran bantuan dalam softskill maupun hardskill yang mereka miliki untuk membawa kontribusinya bagi pembangunan desa. Dokumentasi dan klasifikasi permasalahan serta kelebihan yang ada di desa perlu dipetakan. Kedua hubungan ini akan menjadi subjek dan objek yang saling menguntungkan dalam sebuah siklus pembangunan.  Penelitian ini akan menguji tingkat kepentingan produk backlog dari mode","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48991825","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":"Perbandingan Algoritma Word Matching dan Naive Bayes untuk Klasifikasi Sentimen Analisis Komentar Instagram","authors":"Agnes Asthika Setyawinda, Barep Setiyadi, Anggit Dwi Hartanto","doi":"10.30591/JPIT.V5I1.1733","DOIUrl":"https://doi.org/10.30591/JPIT.V5I1.1733","url":null,"abstract":"Analisis sentimen telah menunjukkan bahwa otomatisasi dan pengenalan komputasi terhadap sentimen adalah mungkin dan berkembang seiring berjalannya waktu, karena faktor munculnya tren teknologi baru dan keadaan yang semakin dinamis dari bahasa manusia sebagai bentuk komunikasi. Dengan adanya media sosial semakin banyak pula teks-teks berupa data informal, menyebabkan proses ekstraksi dan penguraian informasi yang relevan menjadi masalah. Oleh karena itu pada penelitian ini penulis mengusulkan dua metode klasifikasi yang kemudian akan melakukan perbandingan hasil dari kedua metode tersebut.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43451542","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":"Penilaian Tingkat Kematangan Keselarasan Strategi Bisnis Dan TI Menggunakan Luftman Maturity Model (Kasus : Unika Soegijapranata)","authors":"Fx. Hendra Prasetya, Bernardinus Harnadi, A. Nugroho","doi":"10.30591/JPIT.V5I1.1665","DOIUrl":"https://doi.org/10.30591/JPIT.V5I1.1665","url":null,"abstract":"ITGI (IT Governance Institute) states that the alignment of business strategy and IT organization is the key to realizing the benefits of IT for business. The large gap / gap between IT strategy and business strategy will have an impact on the organization's business performance, especially if the organization relies on IT in its business operations or making IT as one of its selling points. Unika Soegijapranata as one of the tertiary institutions sees IT as a mandatory requirement to build competence and capability in the context of competition in its area. The purpose of this study is to assess the alignment level of business and IT strategies at Soegijapranata Unika by using the Luftman SAMM (Strategic Alignment Maturity Model) model. This study uses data collection methods through questionnaires and interviews with University leaders and University IT Institution Leaders. Currently Unika Soegijapranata has a strategic alignment value that is at level 4 (Improved / Managed Process), where at level 4 institutions are said to have focused on investing in IT to win the competition.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45264224","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":"Load Balancing Web Server Menggunakan Nginx pada Lingkungan Virtual","authors":"Zaidal Bustomi, Mohammad Syahiruddin, Mochammad Ilham Afandi, Khadijah Fahmi Hayati Holle","doi":"10.30591/JPIT.V5I1.1745","DOIUrl":"https://doi.org/10.30591/JPIT.V5I1.1745","url":null,"abstract":"Kemajuan teknologi yang semakin pesat dari waktu ke waktu menyebabkan tingginya penggunaan internet dalam kehidupan sehari-hari. Tingginya aktivitas tersebut berbanding lurus dengan tingginya penggunaan jaringan yang digunakan. Oleh karena itu, dibutuhkan suatu peningkatan kualitas jaringan yang berhubungan langsung dengan server sebagai peran dari suatu lalu lintas jaringan. Penggunaan secara serentak saat melakukan akses pada suatu situs menyebabkan lamanya waktu tanggap bahkan server akan down dikarenakan overload yang terjadi. Tujuan dari penelitian ini adalah menerapkan metode load balancing menggunakan Nginx dan dalam sistem virtual menggunakan tools VirtualBox untuk mengatasi masalah tersebut. Metode load balancing menggunakan minimal dua server dan metode ini akan mengalihkan beban trafik dari web server yang sudah penuh kepada web server lainnya sesuai dengan jumlah web server yang digunakan. Menurut hasil pengujian yang didapat setelah penggunaan Nginx sebagai load balancer dihasilkan bahwa ketika salah satu web server mendapatkan beban trafik yang tinggi hingga down, maka akan dialihkan ke web server lainnya untuk mendapatkan akses situs yang diinginkan tanpa adanya gangguan overload pada web server.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41356190","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":"Penerapan Intelligence System berbasis Case Base Reasioning dan Metode K-Nearest Neighbor Untuk Identifikasi Gangguan IT Support","authors":"Muhamad Dedi Suryadi, S. Sahlan, Ndaru Ruseno","doi":"10.30591/JPIT.V4I2-2.1868.G1122","DOIUrl":"https://doi.org/10.30591/JPIT.V4I2-2.1868.G1122","url":null,"abstract":"Delay in handling and solving IT problems both hardware / software greatly affects the company's business processes. Sometimes, IT helpdesk personnel still difficult to find solutions and make decisions to solve IT problems. This is because there is currently no system that can help IT Helpdesk personnel in finding solutions to be able to solve the problems being faced quickly and accurately. When going to look for solutions to the problems being faced can not display solutions that are appropriate or close to the existing historical data. In identifying IT problems, the authors use case-based reasoning or Case-Based Reasoning (CBR) by carrying out the process of finding the case with the highest proximity and proximity measurement using the K-Nearest Neighbor (k-NN) algorithm. This study aims to explain the application of Case-Based Reactioning (CBR) and K-Nearest Neighbor (k-NN) Algorithm to identify IT problem disturbances. The results showed that the application of Case-Based Reasioning and K-Nearest Neighbor (k-NN) Algorithm after being tested by 5 Experts got accurate results.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46429912","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":"Prediksi Tingkat Kelulusan Mahasiswa Menggunakan Machine Learning dengan Teknik Deep Learning","authors":"Martanto Martanto, Irfan Ali, M. Mulyawan","doi":"10.30591/JPIT.V4I2-2.1877.G1119","DOIUrl":"https://doi.org/10.30591/JPIT.V4I2-2.1877.G1119","url":null,"abstract":"The graduation rate of students on time at the Informatics Engineering study program STMIK IKMI Cirebon greatly affects the accreditation assessment. Graduation prediction is difficult to do, but many have done predictions using a variety of methods. Graduation prediction is needed in order to determine preventive policies for students who graduate not on time. The method used in this research is Machine learning with deep learning techniques. The data set used as many as 405 data of students who graduated on time or who were not on time. The research attributes used are the Nim attribute, the GPA value of students who have graduated and the status of graduating or not graduating. The results of this study are the level of accuracy using Machine Learning by 72.84%.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47196071","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":"Pengelompokkan Tingkat Pemahaman Kurikulum Berbasis KKNI Menggunakan Metode X-Means Clustering","authors":"Saeful Anwar, Nisa Dienwati Nuris, Yudhistira Arie Wijaya","doi":"10.30591/JPIT.V4I2-2.1869.G1118","DOIUrl":"https://doi.org/10.30591/JPIT.V4I2-2.1869.G1118","url":null,"abstract":"In Law Number 12 of 2012 concerning Higher Education in Article 35 Paragraph 2 explains that the development of PT curriculum refers to the National Higher Education Standards for every study program that develops noble, intellectual intelligence and skills. KKNI or the Indonesian National Qualification Framework brings together, equates, and combines the field of education with the field of training and work experience and conceptually the Indonesian National Qualification Framework (KKNI) is composed of six (6) main parameters consisting of science, knowledge, know-how, skills, affection, competency. From the results of clustering analysis or grouping using the x-means algorithm it is found that the parameters of science (A), knowledge (B), skill (D), and competency (F) respondents are more likely to answer understanding and are very understanding. In the know-how parameter (C) the tendency of respondents to answer is well understood, whereas for the affection parameter (E) respondents tend to answer between understanding and quite understand but is in contrast between cluster 0 and cluster 1.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42501660","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":"Penerapan Artificial Intelligence (AI) Pada Sistem Informasi Optimasi Jadwal Kuliah Menggunakan Algoritma Genetika","authors":"Dedi Prasetio, Wawan Hermawan Syah, Budi Budi","doi":"10.30591/JPIT.V4I2-2.1867.G1117","DOIUrl":"https://doi.org/10.30591/JPIT.V4I2-2.1867.G1117","url":null,"abstract":"Scheduling lectures is one important aspect to support the implementation of lectures. With the scheduling of lectures, lecture time can be arranged, so that the room can be used effectively. To arrange lecture scheduling, it is of course needed the right way so that arranging the lecture schedules becomes easier and faster. At the College of XXXX, lecture schedules is still done in the conventional way that is arranging the schedule manually using Microsoft Excel software so that it takes a long time in preparing the scheduling of lectures. To simplify and accelerate the process of preparing lecture schedules optimally, the Lecture Scheduling Information System is one of the right solutions. Genetic Algorithm is one way to make logical and systematic steps so that the Information System Scheduling lectures can provide solutions that are easy, faster and more optimal. The genetic algorithm is one of the advances in the field of information technology in the field of Artificial Intelligence (AI) that can solve optimization problems. So that the process of making a schedule using genetic algorithms prepares lecture schedules faster, more precise and optimal. The results obtained from the modeling of genetic algorithms in the lecture schedules system include reguler morning class schedules, reguler evening class schedules, and extention class schedules in all majors at XXXX Higher Education.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43120279","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":"Strategi Marketing Penerimaan Mahasiswa Baru Menggunakan Machine Learning dengan Teknik Clustering","authors":"Raditya Danar Dana, Cep Lukman Rohmat, A. Rinaldi","doi":"10.30591/JPIT.V4I2-2.1879.G1120","DOIUrl":"https://doi.org/10.30591/JPIT.V4I2-2.1879.G1120","url":null,"abstract":"The marketing activity of new student admissions is one of the efforts undertaken by a university to maintain its existence in order to remain known and gain interest from the wider community. From the results of observations made at the research location, marketing activities carried out so far are still carried out in the same way from year to year without distinguishing the characteristics of the target prospective registrants, so the marketing pattern undertaken is not necessarily effective for all prospective applicants who have different characteristics - different . Therefore, it is necessary to make an effort to target target applicants based on certain characteristics to facilitate the determination of strategies and marketing patterns for new student admissions. The aim of this research is to group students' spread data using Machine Learning Technology approach using Clustering technique. This research resulted in the grouping of registrants in the admission activities of new students divided into 3 cluster groups, namely cluster 1 by 11%, cluster 2 by 56% and cluster 3 by 33%.","PeriodicalId":53375,"journal":{"name":"Jurnal Informatika Jurnal Pengembangan IT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42636564","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}