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JURSIMA (Jurnal Sistem Informasi dan Manajemen)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer GICI
ISSN : 23381523     EISSN : 2541576X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science
Jurnal ilmiah yang diterbitkan oleh Sekolah Tinggi Manajemen Informatika dan Komputer GICI. Jurnal ini merupakan sarana untuk mempublikasikan hasil penelitian orisinil yang berhubungan dengan sistem informasi dan komunikasi, sistem komputer, manajemen informatika serta bidang-bidang terkait lainnya. JURSIMA terbuka untuk kalangan dunia akademik dan peneliti perguruan tinggi, lembaga penelitian, pustakawan, mahasiswa S1, S2 dan S3 untuk saling berbagi informasi hasil-hasil penelitian.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 183 Documents
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SISTEM INFORMASI PENGENALAN NEW NORMAL LIFE BERBASIS MULTIMEDIA INTERAKTIF
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.366

Abstract

Sudah hampir 2 tahun Pandemi Covid-19 menyerang dunia, tak terkecuali Indonesia. Berbagai kalangan merasakan dampaknya, mulai dari bekerja, beribadah dan sekolah dari rumah, ditutupnya tempat wisata, dilarang mudik dan berkerumun serta tidak dibolehkan makan di tempat umum. Namun kita semua tidak bisa terlalu lama berdiam diri di rumah, sehingga perlu menerapkan pola hidup baru. Pada penelitian ini penulis mengumpulkan data-data pendukung baik dalam bentuk dokumen seperti jurnal maupun gambar yang berhubungan dengan New Normal Life serta multimedia interaktif. Metode yang dilakukan adalah analisis deskriptif kualitatif, dimana penulis mengolah serta menganalisis dari hasil kumpulan data-data pendukung kemudian dikemas dalam bentuk animasi multimedia interaktif. Dari penelitian ini animasi interaktif yang dihasilkan berisi informasi mengenai New Normal Life, aturan yang diterapkan, perlengkapan yang dibutuhkan serta peta sebaran penduduk Indonesia yang sudah melakukan vaksinasi menggunakan aplikasi Macromedia flash 8. Sehingga dapat disimpulkan bahwa perlunya edukasi bagi berbagai kalangan mengenai penerapan pola hidup baru (New Normal Life) dalam melakukan berbagai aktivitas secara normal demi mencegah penularan virus covid-19.
PENGEMBANGAN MULTIMEDIA INTERAKTIF UNTUK MEMBERIKAN INFORMASI PENYAKIT KANKER Ahmad Rijal Arifin; Ahun Ismi Aziz; Khanif Rahmah Fadhilatus Salamah; Rakhma Yuli Affiyanti; Riski Fitria Ardanu; Dasril Aldo
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.369

Abstract

Masyarakat Indonesia belum memiliki program media interaktif yang memungkinkan mereka mengakses informasi kesehatan tentang kanker dan penyakit lainnya. Hal ini membuat masyarakat kurang mendapat informasi tentang kanker, sehingga kurangnya kesadaran masyarakat yang menyebabkan mereka tidak mencegah kanker ini. penelitian ini bertujuan untuk membuat aplikasi interaktif untuk memberikan informasi tentang kanker. Membuat media pembelajaran menggunakan alat Macromedia Flash untuk merancang objek dan dapat melengkapi audio untuk menyediakan suara pada aplikasi tersebut. Aplikasi yang dihasilkan merupakan media interaktif informasi kanker lengkap dengan animasi serta gambar oleh karenanya pembelajaran menjadi lebih asik. Melalui aplikasi ini berharap kesadaran masyarakat meningkat akan penyakit kanker, sehingga dapat dihindari atau dicegah. Metode yang digunakan di penelitian ini adalah model multimedia yang dikembangkan oleh Luther yang dikenal dengan model produk pembelajaran berbantuan computer, terdapat tahapanya seperti tahap concept, design, material collecting, assembly, testing, dan distribution Kata Kunci: Media Interaktif, Animasi, Macromedia Flash, Kanker, Pembelajaran
SOCIAL ISOLATION AND ACCEPTANCE OF E-LEARNING IN THE TIME OF COVID-19 PANDEMIC Weri Aprilia; Wing Wahyu Winarno
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.370

Abstract

The COVID-19 pandemic has led to social distancing. However, with the help of technology, the education world can get through this difficult time through virtual learning methods (e-learning). The aim of this study was to show how well the UTAU framework explains the behavioral drivers of e-learning system use by adding relevant variables, namely the moderating effects of social isolation and corona fear. This study takes accounting students as a sample and adopts a targeted sampling method. The sample size is 203 respondents, but eligible individuals can only process 195 samples. This study uses a quantitative method using the data analysis technique of SEM-PLS by WarpPLS 7.0 software. The results of the study showed that the variables of PE, SI, FC and Social Isolation are proven to have an effect on the intention to use e-learning among accounting students. Meanwhile, the EE variable was not proven to be supported as the effect on the intention to use e-learning. The results of the Corona Fear modification as a moderating variable has been shown to strengthen the relationship between PE, EE, and FC variables on intention to use e-learning.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATERI PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK KELAS 4 SEKOLAH DASAR Roni Faturany; Umi Hayati; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.381

Abstract

The purpose of this study is to create an interactive learning medium based on Android. using Adobe flash cs6 to support learning in the current pandemic era. The development model used is the ADDIE model. There are four stages of the ADDIE development procedure, namely Analysis, Design, Development, Implementation, and Evaluation, this method is to produce and develop tested and empirical products. Lack of knowledge and use of technology makes elementary school students when doing learning from many who are lazy, causing a decrease in the achievement value of these students. So we need this Android-based interactive learning media to increase the spirit of learning in this pandemic era. This study aims to develop interactive learning media on Android-based Islamic religious education to keep students' values ??stable in Islamic religious education subjects. The results of this study are expected to be used by SD Negeri 2 Patuanan for learning media during the pandemic and continue to improve students to study hard. Keywords: Islamic religious education, Covid 19, Interactive Learning Media
SISTEM INFORMASI E-LEARNING BERBASIS ANDROID UNTUK TINGKAT SEKOLAH DASAR (STUDI KASUS : SDI AL-HADIRIYAH) Fajar Masya Ir.M.MSI; Selamet Nur Yanto; Yosie Abdul Muzanil
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.388

Abstract

Media Pembelajaran Animasi Reboisasi Hutan untuk Siswa kelas VIII SMA Telkom Puwokerto Muhammad Briliantama Putra; Alzi Mula Baharsyah; Dana Eko Wahyu Pambudi; Bagus Ahmad Setiawan; Ahmad Faishal Fahrisena; Setyawan Suroso; Dasril Aldo
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.393

Abstract

Therefore, the animated learning materials available in the market or on the Internet are also much improved. However, there are some gaps or weaknesses in the learning medium like there is no explanation so the teacher has to explain. And the means of displaying material too quickly or without controls make it difficult for students to understand and teachers to rush to explain. Also the vehicle models are not user-friendly. Therefore, based on those shortcomings or weaknesses, SMA Telkom Purwokerto's research on building eco-friendly animation materials for 8th grade students by SMA Telkom Purwokerto aims to make science lessons interesting. taste, efficiency and effectiveness. This study is a method using 2D modeling, definition, design, development and implementation. At the development stage, researchers have to validate the animated learning material, implemented with 2 validators using a validation table to see the realism of the animated learning material, this claim sheet given to teachers and students. The data processing results from the authenticity and practicality of the questionnaires concluded that the developed animated learning aids are valuable in terms of quality and practicality for teachers and students to use. , so it is suitable to be a support medium for scientific learning about greening the environment.
KLASIFIKASI PENERIMA BANTUAN SOSIAL DENGAN ALGORITMA RANDOM FOREST UNTUK PENANGANAN COVID 19 Abdur Rosid; Odi Nurdiawan; Gifthera Dwilestari
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.398

Abstract

The Covid 19 outbreak has an impact on the community so that there are family heads who cannot work in general. The policy pursued by the central government is to provide assistance to workers who have salaries below 5 million and other programs. The obstacles faced to the community are not exactly recipients of assistance in accordance with the criteria set by the government. The criteria set by the government are workers who have salaries below 5 million. The purpose of the study can model the recipients of social assistance that is on target, so that the assistance can be useful in the time of the Covid 19 pandemic. This method of approaching research uses knowladge data discovery with the first stage of data obtained by social services in 2020 the second stage of data classification based on the riteri that has been established. The third stage of preprocessing is used to clean up noise data, stage four of the random forest model by using rapid miner tool version 9.9. Stage six discussion of the results of the model produced from random forest. The results expected in the study get a good model so that it becomes a recommendation in determining the recipients of sosial assistance
RANCANG BANGUN SISTEM INFORMASI REKRUTMEN KARYAWAN PADA PT. MITRANIAGA CIPTASOLUSI BERBASIS WEB Fauziyah Fauziyah; Rifka Irhamna; Alexius Ulan Bani
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.402

Abstract

Employees are one of the most important components in an organization or company in order to make the best contribution to a company. PT. Mitraniaga Ciptasolusi is a company engaged in personnel consulting, requiring human resources (employees) who are not only competent. but also can survive and compete with human resources (employees) of other companies. Employee recruitment carried out at PT. Mitraniaga Ciptasolusi currently still uses the conventional method in the sense that the employee recruitment process still uses the old method in each process, this is considered to be still lacking in effectiveness and efficiency. For the method of designing and developing an employee recruitment system, namely by using Unfield Modeling Language (UML), the programming language uses PHP and MySQL as the database. The method used in building this application is the System Development Life Cycle (SDLC) method which has stages, namely planning, analysis, design, implementation, use. With this employee recruitment system, it can help actors in every process in determining new employees to be accepted in the company.
PENGELOMPOKAN HASIL BELAJAR SISWA PADA MASA COVID-19 DENGAN ALGORITMA K-MEANS UNTUK MENJAMIN MUTU PENDIDIKAN DI SMK BINA CENDEKIA Maulana Jamaludin; Martanto Martanto; Agus Bahtiar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.403

Abstract

AbstrakHampir dua tahun, dunia dihadapkan dengan adanya malasah virus mematikan yang dikenal dengan sebutan Coronavirus Disease 2019 atau disingkat Covid-19. WHO telah menetapkan masalah virus corona sebagai suatu pandemic global, pandemic ini telah mengganggu berbagai kegiatan tak terkecuali kegiatan Pendidikan. Kegiatan belajar mengajar di sekolah yang semula dilakukan dengan tatap muka, karena adanya pandemic ini berubah menjadi pembelajaran jarak jauh atau disebut dengan Dalam Jaringan (Daring).. Penelitian ini bertujuan akan Melakukan Penglompokan Hasil Belajar Siswa Pada Masa Covid-19 Dengan Algoritma K-Mean Untuk Menjamin Mutu Pendidikan Di Smk Bina Cendekia. Oleh Karena itu, metode yang akan digunakan penelitian ini adalah metode Algoritma K-Means Clustering. Dilakukan data mining terhadap dataset hasil belajar siswa. Selanjutnya dilakukan praprocessing terhadap dataset tersebut untuk menghilangkan data missing dan menentukan atribut-atribut data yang diperlukan untuk pengelompokkan. Untuk menentukan jumlah kelompok yang ideal maka dilakukan perhitungan nilai kelompok menggunakan Davis Bouldin Indeks serta menghitung distance performance, Penelitian ini menghasilkan pengelompokkan hasil belajar siswa pada masa pandemic covid-19 dengan menggunakan algoritma k-mens akan diperoleh jumlah kelompok sebanyak 2 Cluster Kelompok. Dimana nilai distance performance sebesar 74.166% diperoleh nilai DBI sebesar 0.669Keywords: Pengelompokan, Algoritma K-Means Clustering
PENERAPAN METODE ALGORITMA K-MEANS DALAM PEMETAAN PESERTA DIKLAT KETERAMPILAN PELAUT DI SMKN 1 MUNDU Sigit Rusmayana; Ahmad Faqih; Agus Bahtiar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.404

Abstract

Abstract Smkn 1 Mundu Cirebon Sailor Skills Training is the only training organizer who is in vocational high school that can conduct BST (Basic Safety Training) training for sailors of IMO (International Maritime Organization) standards. This research aims to identify the origin of the participants of the training, to apply when the time of the training is held, to find out the needs of the certificate of the participants of the training. This research sample was obtained from the data sheet of Smkn 1 Mundu Cirebon Sailor Skills Training where everyone who will work at sea must have a BST (Basic Safety Training) certificate. The research method done by machine learning using the K-Means Algorithm is the simplest and most common clustering method. This is because K-Means has the ability to group large amounts of data with relatively fast and efficient computing times. With the research can be useful for the Institute of Seafaring Skills Training SMKN 1 Mundu Cirebon So that it can be to identify the Origin of The Training Participants from the cirebon, Indramayu, Majalengka, Kuningan, Brebes, Tegal Pemalang, Purwokerto which dominates the participants of the training, as well as the implementation of the most widely carried out training in the period of August, September and December after students are declared first of school and most certificates are taken to work abroad especially on fishing vessels, commercial vessels and cruise ships as well as at offshore drilling refineries. The result of the application of this k-means clustering algorithm results in k = 3 with DBi = 0.547 model clusters produced cluster 0 = 465 items, cluster 1 = 608 items and cluster 2 = 462 items Keywords of at least 3-5 keywords: Sailor Skills Training, BST (Basic Safety Training), K-Means Algorithm

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