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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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KLASIFIKASI MOTIF BATIK JAWA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (KNN) MUHAMAD DENI AKBAR; Martanto Martanto; Yudhistira Arie Wijaya
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.v10i2.412

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%.
RANCANG BANGUNG APLIAKSI BERBASIS ANDROID UNTUK PENCARIAN LOKASI INDEKOS MENGGUNAKAN FRAMEWORK FLUTTER DI KOTA CIREBON Handreyan Rizki Pratama; Nining Rahaningsih; Fadhil M. Basysyar
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.v10i2.416

Abstract

Continue the school to the college level who come from outside the city would need a place lodger, as well as pakerja that comes from outside the region need the same thing. Search place lodger with the use of a manual will require the time of a day. Today many application that provides easy access to help find a place lodger. But of the many applications , sometimes not specific, so a lodger who are found not in accordance with expectations. This study aims to develop an Android-based location search lodger using the framework flutter in the region of Cirebon City, making it easier for the students/workers from outside the city in search of the lodger needed. Feature of this app is a GPS to facilitate the students/workers from outside the city in search of the lodger needed. where this feature is different from the application that has been built before. The method used in developing this application is the waterfall method. The stages are requirements analysis, system design, implementation, integration and testing. The expected outcome of this research is that a of some aspects of the quality of the software aspects of reliability, effeciency, integrity and usability. Keyword : Android, GPS, FLutter
RANCANG BANGUN APLIKASI GAME EDUKASI TEBAK GAMBAR MAKANAN KHAS INDONESIA BERBASIS ANDROID Ersa Pratiwi; Dian Ade Kurnia M.Kom; Ade Irma Purnamasari M.Kom
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.v10i2.418

Abstract

Nowadays, gadgets are an inseparable part of everyday life, including for children. Today's children are very reliable in using gadgets, and spend a lot of time playing applications (games). Games can be a medium to help hone children's abilities in children's growth and development. Educational games are something that needs to be developed to provide games and get the right information and insight for children. Educational game designed in the form of a game with the concept of matching images of typical Indonesian food with their names and using construct 2 technology. The application design method used is a data collection technique method that uses observation and documentation, the design stages are concept, design, material collection, manufacturing, testing, and distribution. The test was conducted on children respondents with an age range of 11-13 years to obtain data on the level of target satisfaction. The results of the satisfaction level test carried out found that the most appropriate target users were children aged 11-13 years. In general, this game is well received and liked by children and the results of the usability testing application are fairly good and suitable for use by children.
PERANCANGAN SISTEM INFORMASI PEMINJAMAN BERKAS REKAM MEDIS PASIEN RAWAT JALAN DI RSAU Dr.M.SALAMUN Yeska Claudia Luhukay; Yuyun Yunengsih; Candra Mecca Sufyana
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.v10i2.419

Abstract

Indonesian Air Force Hospital Dr. M. Salamun Air Force Medical Service is a Level II military hospital in Bandung Regency, West Java. The problem encountered with the medical record lending system is that this hospital still uses the manual method of lending medical records, which is only entered in the expedition book, which causes delays in the lending of the medical records used for this by the Officials conduct problem, purpose of research This is done so that the lending information system can be computerized, which can make it easier for medical records unit officials to process loaned medical record files quickly, precisely and accurately. The type of research conducted is qualitative through observation, officer interviews and literature study with software development methods using the waterfall method. The design phase begins with the system requirements analysis phase, after which a flow map is created as the flow of the system process to be created, context diagram, data flow diagram and entity relationship diagram. Implement an information system that supports Microsoft Visual Basic and a Microsoft SQL Server database. The results of the draft lending information system carried out by the officials no longer recorded the lending of medical records in the expedition book. The officers felt supported by the computerized system as the work done was faster
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOUR UNTUK PREDIKSI KETEPATAN KELULUSAN Manarul Hidayat; Ahmad Faqih; Tati Suprapti
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.v10i2.420

Abstract

In an education system, students are an important asset of a college and therefore, it is important to pay attention to the percentage of students who graduate on time. However, there is an imbalance between the inputs and outputs of the completed students. Students who enroll in large numbers, but students who graduate on time compared to those who are late according to regulations are fewer. In this study, the author aims to apply the K-NN method using cross validation to predict student graduation rates at STMIK IKMI. The results of this study are in the form of models and evaluations of student graduation predictions, whether they graduate on time or not on time. Based on the results of the design, implementation, testing using the RapidMiner program for predicting student graduation using the k-NN method with Cross Validation resulting in an accuracy of 70.28%, an error of 29.78%, and AUC of 0.739 Keywords: Graduation, Student, K-NN, Cross Validation
IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK MENUNJANG KEPUTUSAN PERSEDIAN BARANG DI CV INDOTECH JAYA SENTOSA KOTA CIREBON Iman Nurrohmat; Odi Nurdiawan; 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.v10i2.421

Abstract

Indotech Jaya Sentosa is a company engaged in trading in the form of computers and network infrastructure. Currently experiencing problems in managing inventory for its customers. These obstacles include the frequent occurrence of overcapacity in storage warehouses that exceeds the number of requests, even more so in the era of the Covid-19 pandemic. This study aims to provide a solution to the problems at CV Jaya Sentosa, namely by applying a technique or algorithm to support decisions in managing its merchandise inventory. The approach taken is to use a data mining approach involving the FP-Growth algorithm method. FP-Growth Algorithm is a method to find the pattern of relationship between one or more items in a dataset. While the steps taken to the data mining approach include business understanding, data understanding, data preparation, data modeling, data evaluation and deployment. The final result of this research is expected to be able to apply association rules where these rules can be used as a reference in predicting what kind of inventory should be held to facilitate inventory management.
PENERAPAN MACHINE LEARNING UNTUK MENENTUKAN KELAYAKAN KREDIT MENGGUNAKAN METODE SUPPORT VEKTOR MACHINE Syafi'i Syafi'i; 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.v10i2.422

Abstract

Credit is one of the services provided by banks, credit risk that occurs in the provision of credit loans, in the case that the customer is unable to pay the loan received is always considered by the bank, and supervises the customer to reduce risk. The main risk for banks and financial institutions is to differentiate creditors who have the potential for bad loans, this crisis is a concern for financial institutions about credit risk. SUPPORT VEKTOR MACHINE algorithm is an algorithm used to form a decision tree. The decision tree is a very powerful and well-known classification and prediction method. The richer the information or knowledge contained by the training data, the accuracy of the decision tree will increase. The SUPPORT VEKTOR MACHINE algorithm classification method can determine the credit worthiness of the national civil capital capitals as evidenced by the performance table data consisting of the AUC results, Acuracy results. The results of the application of machine learning using the vector machine support algorithm against cooperative data in KPRI "RUKUN" SMKN 1 Lemahabang to determine creditworthiness based on the results of the Performance Vector from the Support Vector Machine algorithm resulted in smooth prediction, smooth true 130, prediction of jammed, true jam 72, current prediction true jam 41, prediction of jammed true jam 332. The accuracy rate of the performance vector of the support vector algorithm is 80.34%. .
Penerapan Sistem Multimedia Interaktif Pada Pengenalan Tanaman Langka Bunga Raflesia Indah Nurul Hayati; Syifa Salsabilah; Sitti El-Shafira Mutaqien Jannah; Muh Khadavy; Hafiz Irza Aryadana
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.v10i1.425

Abstract

PENGEMBANGAN MULTIMEDIA INTERAKTIF SUKU ADAT DAN TRADISI DI INDONESIA SEBAGAI MEDIA PEMBELAJARAN SISWA MTS NEGERI 1 BANYUMAS Annisa Al Kautsar; Reza Irfan Wijaya; Pandy Affan Daffar; Syah Rafli Ramadhan
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.v10i1.426

Abstract

Interactive multimedia is a learning media that represent information in form of animation that are interesting and easy to understand. Learning that talk about customs and traditions in Indonesia presented in a form of Interactive animation to build an interesting way in learning activities because of its various animation elements. In develpoing of this interactive media, researchers used Macromedia Flash 8 as animation software. This interactive multimedia learning model was made to make student at MTS Negeri 1 Banyumas more interested with the subject and retrive more information effectively. In this study, observation and questionnaire methods were used to determine the succes rate of learning activities using interactive multimedia for student at MTS Negeri 1 Banyumas.
RANCANGAN SISTEM INFORMASI MODUL PERHITUNGAN BIAYA PADA FASILITAS KESEHATAN (STUDI KASUS PADA PUSKESMAS KEBAYAKAN ACEH TENGAH) Gamal Batara; Raida Fuadi; Linda Linda
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.v10i2.427

Abstract

Penelitian ini bertujuan untuk melakukan analisis dan perancangan sistem informasi perhitungan biaya untuk Puskesmas (Pusat Kesehatan Masyarakat) Kecamatan Kebayakan, Aceh Tengah. Puskesmas bertindak sebagai fasilitas kesehatan tingkat pertama yang terdaftar di BPJS (Badan Penyelenggara Jaminan Sosial). Di era pelayanan kesehatan dengan sistem Jaminan Kesehatan Nasional (JKN), Kementerian Kesehatan menganjurkan penyedia layanan kesehatan untuk melakukan cost containment (sadar biaya) dengan tetap memperhatikan mutu pelayanan. Namun, karena Puskesmas belum memiliki sistem pencatatan biaya yang memadai, informasi biaya sulit diperoleh dan manajemen tidak dapat melakukan pengendalian biaya secara efektif. Penelitian ini menggunakan pendekatan studi kasus dengan metode kualitatif. Data diperoleh melalui instrumen wawancara, analisis dokumentasi, dan observasi. Metode alokasi biaya yang digunakan adalah pembiayaan berbasis aktivitas atau activity-based costing (ABC). Metode yang digunakan untuk merancang sistem informasi manajemen biaya ini adalah metode FAST (Framework for the Application of Systems Technique). Solusi yang ditawarkan melalui rancangan sistem ini adalah menyediakan informasi yang dibutuhkan manajemen Puskesmas dalam hal pengendalian biaya dan pengambilan keputusan lainnya.

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