cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Heryenzus
Contact Email
heryenzus@indobarunasional.ac.id
Phone
+6281363711800
Journal Mail Official
heryenzus@indobarunasional.ac.id
Editorial Address
Komplek Mitra Mas Blok C no. 11-18 Jl. Dang Merdu, Tlk. Tering, Kec. Batam Kota, Kota Batam, Kepulauan Riau 29461
Location
Kota batam,
Kepulauan riau
INDONESIA
Jurnal Sistem Informasi dan Manajemen
Published by Institut Teknologi dan Bisnis Indobaru Nasional
ISSN : 23381523     EISSN : 2541576X     DOI : https://doi.org/10.47024/js.v9i3
Core Subject : Economy, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
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. Adapun ruang lingkup jurnal JURSIMA ini meliputi: Manajemen E-Business dan E-Commerce Sistem Informasi Bisnis Digital Rekayasa Perangkat Lunak (Software Engineering) Jaringan komputer dan komunikasi data (Computer network and data communication) Kewirausahaan Pembelajaran berbasis komputer Sistem pendukung keputusan Sistem Informasi Akuntansi dan Manajemen
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 390 Documents
 11   12   13   14   15 
Media Pembelajaran Animasi Reboisasi Hutan untuk Siswa kelas VIII SMA Telkom Puwokerto Putra, Muhammad Briliantama; Baharsyah, Alzi Mula; Pambudi, Dana Eko Wahyu; Setiawan, Bagus Ahmad; Fahrisena, Ahmad Faishal; Suroso, Setyawan; Aldo, Dasril
JURSIMA 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.
PENGEMBANGAN MEDIA PROMOSI KERAJINAN BATU ALAM DI DESA BALAD BERBASIS MULTIMEDIA INTERAKTIF Bakri, Saeful; Rahaningsih, Nining; Purnamasari, Ade Purnamasari; Tohodi, Edi; Kaslani, Kaslani
JURSIMA 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.v10i1.394

Abstract

Abstrak Kegiatan promosi saat ini sangat penting untuk memperkenalkan suatu produk atau jasa guna meningkatkan daya tarik masyarakat luas. Kerajinan Batu Alam di Desa Balad sebelumnya hanya menggunakan media lisan dan tulisan yang masih sederhana, serta menggunakan beberapa media seperti contoh plang atau papan nama. Sehingga media promosinya dirasa belum tepat, informasinya masih kurang lengkap dalam menginformasikan kerajinan Batu Alam di Desa Balad. Permasalahan saat ini membutuhkan perancangan media video promosi dengan informasi yang lebih lengkap, update dan menarik. Maka diperlukan adanya promosi melalui pembuatan video promosi tentang kerjinan Batu Alam di Desa Balad, sehingga dapat meningkatkan daya tarik pembeli dan dapat dikenal masyarakat luas. Metode penelitiannya yaitu dengan menggunakan pengumpulan data seperti jenis Batu, tipe, ukuran, motif atau corak dan lain sebagainya. Hasil dari penelitian ini berupa media video promosi Kerajinan Batu Alam di Desa Balad yang diharapkan dapat meningkatkan jumlah pembeli atau konsumen perluasan promosi. Kata kunci: media, video, video promosi, kerajinan batu alam
CLUSTERING KELOMPOK BELAJAR SISWA BERDASARKAN HASIL UJIAN SEKOLAH MENGGUNAKAN ALGORITMA K-MEANS Syaefudulloh, Mohammad; Faqih, Ahmad; Basysyar, Fadhil Muhammad
JURSIMA 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.v10i1.397

Abstract

Introduction: The government has the responsibility of determining national education quality policies and standards and has a role to evaluate the implementation of education in the framework of national education quality control. One way to evaluate the standards of primary and secondary education nationally is the results of the achievement of the National Examination (UN). The quality of students in learning in schools has a lot of diversity this makes students have different levels of understanding this can be seen from the variety of school test scores obtained, this needs to be a concern for the school, especially teachers. One of them is by forming an effective study group so that every student has the opportunity to excel. To find out how to cluster the quality of Astanajapura State High School education based on the results of school test scores. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Results: The results in this study get a cluster of students, namely students are very prestigious, prestigious and less prestigious. The clustering obtained in this study k = 4 is that there are 145 students categorized into cluster 0 with a DBi value of 0.763. The evaluation results of the K-Means algorithm resulted in a cluster with excellent and good grades, the results of this study can be used as a guideline for teaching teachers in decision making on the formation of student learning groups in Class XII. Discussion: The use of the K-Means method to group is one of the appropriate methods when viewed from the variables to be used, namely school test scores
KLASIFIKASI PENERIMA BANTUAN SOSIAL DENGAN ALGORITMA RANDOM FOREST UNTUK PENANGANAN COVID 19 Rosid, Abdur; Nurdiawan, Odi; Dwilestari, Gifthera
JURSIMA 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
Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang (PT. Terang Abadi Pekanbaru) Simatupang, Septian
JURSIMA 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.v10i1.399

Abstract

Abstract Inventory problems not only occur in companies engaged in manufacturing, but the problem also occurs in companies engaged in retail. Inventory problems also occur at PT. Terang Abadi. The inventory system used at this company mostly still uses intuition, estimation, and habits. As a result, predicting inventory becomes very risky when using the simple inventory model. Without a good inventory management, the company will be faced with the risk of being unable to meet customer demand so that inventory analysis needs to be done so that the company does not experience losses. One method that can be used is the monte carlo method. The data taken is inventory data for the last 3 years, namely 2019 to 2021. This data is simulated by programming PHP as a data implementation system. Simulation results from this study obtained an accuracy rate of 90% for simulations in 2019 and 97% for simulations in 2020. By getting greater accuracy, this method is feasible to use and apply to predict the availability of goods in the future. Keywords: Simulation, Monte Carlo, Prediction, Inventory
RANCANG BANGUN SISTEM INFORMASI REKRUTMEN KARYAWAN PADA PT. MITRANIAGA CIPTASOLUSI BERBASIS WEB Fauziyah, Fauziyah; Irhamna, Rifka; Bani, Alexius Ulan
JURSIMA 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 Jamaludin, Maulana; Martanto, Martanto; Bahtiar, Agus
JURSIMA 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 Rusmayana, Sigit; Faqih, Ahmad; Bahtiar, Agus
JURSIMA 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
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA KARYAWAN MENGGUNAKAN METODE AHP DAN MAUT Zulfikar, Zulfikar; Chotijah, Umi
JURSIMA 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.v10i1.405

Abstract

Employee performance is one of the main factors to determine whether the company is progressing or not. In an organization or agency can not be separated from the role of human resources, therefore assessment in performance is needed to measure the work of employees. Therefore the organization needs to conduct an assessment of each employee. Printing Company Subur Jaya in assessing employee performance still uses a subjective method with the assessment carried out directly by the company leader without any calculations. Decision Support System there is a solution for making decisions. There are many Decision Support System methods, but the researcher uses the AHP and MAUT methods to solve the problem. The AHP method is used for weighting each criterion and the MAUT method is used to generate alternative rankings. There are 30 alternative data used and 5 criteria such as: Performance, Honesty, Cooperation, Discipline, Age. The results obtained from this study are that the top 10 alternative data are stated to be good in performance and the bottom 10 data are declared to be poor with a test accuracy of 100%.
KLASIFIKASI MOTIF BATIK JAWA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (KNN) AKBAR, MUHAMAD DENI; Martanto, Martanto; Wijaya, Yudhistira Arie
JURSIMA 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.v10i2.412

Abstract

Batik is one of Indonesia's beautiful and well-known heritages throughout the world, batik as a traditional heritage of the archipelago comes with a variety of motifs. Each region has different motifs and different philosophies. The number of Indonesian batik motifs spread from Aceh to Papua, so not everyone can distinguish batik motifs. This study aims to distinguish between Javanese batik motifs and non-Javanese batik motifs. The batik motifs taken by researchers as samples from the Java region were the Mega Mendung batik motif, Lasem batik motif, Sekar Jagad batik motif, Kawung batik motifs and motifs, and for non-Javanese researchers took samples of Cendrawasih batik motifs, Dayak batik motifs, and batik motifs. nutmeg, and Balinese batik motifs. The research method uses the K-Nearest Neighbors (KNN) algorithm which has stages of collecting image on batik motifs, knowing Javanese and non-Javanese batik motifs, pre-processing, feature extraction, image classification, and evaluation of motifs. Color feature extraction is carried out using gray level co-occurrence matrix (GLCM) methods. Based on the test results show that with the application of GLCM and KNN with an image size ratio of 200x200 with a ratio of k=5 the percentage of split image 80% test and 20% training is able to produce an accuracy of 65%.

Page 13 of 39 | Total Record : 390

 11   12   13   14   15 

Filter by Year

2016 2026


Reset
Filter By Issues
All Issue Vol 13 No 1 (2026): Volume 13 Nomor 1 2026 Vol 12 No 3 (2025): Volume 12 Nomor 3 2025 Vol 12 No 2 (2025): Volume 12 Nomor 2 2025 Vol 12 No 1 (2024): Volume 12 Nomor 1 2024 Vol 11 No 3 (2023): Volume 11 Nomor 3 2023 Vol 11 No 2 (2023): Volume 11 Nomor 2 2023 Vol 11 No 1 (2023): Volume 11 Nomor 1 2023 Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022 Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022 Vol 10 No 3 (2022): Jursima Vol.10 No.3 Vol 9 No 2 (2021): Jursima Vol. 9 No. 2, Agustus Tahun 2021 Vol 9 No 1 (2021): Jursima Vol. 9 No. 1, April Tahun 2021 Vol 8 No 2 (2020): Jursima Vol. 8 No. 2, Desember Tahun 2020 Vol 8 No 1 (2020): Jursima Vol. 8 No. 1, Juni Tahun 2020 Vol 7 No 2 (2019): Jursima Vol. 7 No. 2, Tahun 2019 Vol 7 No 1 (2019): Jursima Vol. 7 No. 1, Tahun 2019 Vol 6 No 2 (2018): Jursima Vol. 6 No. 2, Desember 2018 Vol 6 No 1 (2018): Jursima Vol. 6 No. 1, Tahun 2018 Vol 5 No 2 (2017): Jursima Vol. 5 No. 2, November 2017 Vol 5 No 1 (2017): Jursima Vol. 5, No. 1, Mei 2017 Vol 4 No 2 (2016): Jursima Vol. 4, No. 2, November 2016 More Issue