cover
Contact Name
Titania Dwiandini
Contact Email
titania.andini@asia.ac.id
Phone
+6281333222399
Journal Mail Official
positif@poliban.ac.id
Editorial Address
Jl. Brig Jend. Hasan Basri, Pangeran, Kec. Banjarmasin Utara, Kota Banjarmasin, Kalimantan Selatan 70124
Location
Kota banjarmasin,
Kalimantan selatan
INDONESIA
POSITIF
ISSN : 26203227     EISSN : 24609552     DOI : https://doi.org/10.31961/positif.v9i2.1995
Core Subject : Science,
Since Volume 4, No. 2, 2018, the journal has been ACCREDITATED with grade "SINTA 4" by the Ministry of Research and Technology/National Research and Innovation Agency of Republic Indonesia (Kemenristek BRIN RI) of The Republic of Indonesia effective until 2023 .
Articles 283 Documents
Sistem Pengambil Keputusan Rekomendasi Lokasi Wisata Malang Raya Dengan Metode MOORA Pranata, Aldi Surya; Rosiani, Ulla Delfiana; Mentari, Mustika
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 1 (2021): Jurnal Positif Vol. 7 No.1
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i1.1091

Abstract

Malang Raya, which consists of Malang City, Malang Regency, and Batu City, is one of the favorite tourist destinations in East Java. The number of tourist attraction locations that offer various advantages of each. This often makes it difficult for local and non-local tourists to choose a tourist destination, in order to be able to maximize their visit time, costs and satisfaction. This study aims to build a decision support system (DSS) for determining tourist locations using the Moora method. This method will provide weighting criteria according to user conditions / preferences, and then perform processing on the data. The built DSS is able to produce recommendations by ranking tourist locations to users according to their preferences. The system built was tested using 5 alternative tourist attraction locations in Batu City and 3 criteria consisting of 1 cost and 2 benefit criteria. Experiments carried out were successful in giving different rankings to 5 alternatives.
Sistem Pendukung Keputusan Rekomendasi Pekerjaan Bagi Fresh Graduate Dengan Penggabungan SAW Dan TOPSIS Putra, Rahardhiyan Wahyu; Rosiani, Ulla Delfana
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 1 (2021): Jurnal Positif Vol. 7 No.1
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i1.1092

Abstract

Decision Support System is a system that supports humans to determine something based on mathematical calculations. Decision Support Systems will be made by researchers as a tool that will be used to help fresh graduates to choose jobs according to their interests. The object that will be used is the graduates of the Information Technology Department at the State Polytechnic of Malang. The method used for this system combines the SAW and TOPSIS methods.
Evaluasi Kesuksesan Penerapan Sistem Informasi di LPPM STMIK STIKOM Indonesia Sandika, I Kadek Budi; Hamid, Hamid
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.900

Abstract

Information systems that have been developed and used need to be evaluated. Measuring the success of the application of an information system must take into account at least four parameters, namely the individual who uses it, the organization where individuals interact, the information the system presents, and the information technology itself. This study also examined whether there is a direct correlation between user experience and organizational support for net benefits. This research was carried out in three stages, from the preparation, data collection, to data analysis and reporting. Based on the results of testing the research hypothesis, only one hypothesis was accepted (significant), namely the relationship between the quality of information systems, the use of information systems, user satisfaction and net profits. Based on the results of testing and discussion, the application (sitasi) is still not fully successful. There are several obstacles found in its operations, both in terms of system quality, information quality, and the quality of citation services
Peran Kemajuan Decision Support System Di Eropa : Tinjauan Dan Analisis Literature (1991-2020) Mawarni, Inggar Tri Agustin; Syahrul, Azzan
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.913

Abstract

Decision Support System is a tool that can help the decision maker in setting a decision. It should be emphasized that the Decision Support System is only intended to help not to make decisions. Decisions made are the responsibility of the decision maker. This study aims to examine more deeply about the decision support system (Decision support System). But this time the researchers wanted to focus more on studying in European countries. Because researchers want to know how the role of the decision support system progress in Europe in 1990 until now. The study was conducted using qualitative descriptive methods, namely using literature or literature studies. The method of data collection is done by studying literature in journals, books, magazines, or the web that is relevant to research. The data analysis technique uses an interactive model of mile and Hubermen with 4 flow stages including collecting data, trying to formulate data or data reduction, after that the data presentation and drawing conclusions. From the data, researchers found data of 50 articles that discussed the decision support system in Europe in 1990-2020. The development of a decision support system (Decision support System) in Europe has increased or decreased in each decade
Pengaruh Customer Experience Dan Cash Back Terhadap Keputusan Konsumen Bertransaksi Melalui E’commerce Tokopedia Pada Masa Lockdown Pandemi Covids 19 Di Kota Banjarmasin Nuryadin, Muhammad Teguh; Padli, Padli; Anwar, Hairul
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.975

Abstract

This study aims to determine and analyze whether Customer and Cash Back Experiencehave a simultaneous and partial effect on consumer decisions to transact through E'Commerce Tokopediaduring the Lockdown Pandemic Covid-19 in Banjarmasin. This type of research is quantitative descriptive with multiple linear regression analysis with the help of software. SPSS analyzed from primary data totaling 100 respondents who were taken using themethod stratified judgment sampling to the people of Banjarmasin who actively transact through the marketplace. The results of this study indicate that there is a simultaneous significant influence of Customer Experience and Cash Back on consumer decisions to transact via E-Commerce Tokopediaduring thePeriod Lockdown Pandemic Covids 19 in Banjarmasin City. While partially, only the Customer Experience variable has a significant influence on consumer decisions to transact via E-Commerce Tokopediaduring thePeriod Lockdown Pandemic Covids 19 in Banjarmasin City
Membangun Sistem Informasi Inventaris Laboratorium Jurusan Administrasi Bisnis Berbasis PHP Dan MySQL Dengan Framework Laravel Dan Bootstrap Muhammad, Said; Yunida, Riswan; Irwandi, Agus; Indera, Rahma; Prihatin, Eko Sabar
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.1054

Abstract

The development of information technology is currently growing rapidly, one of which is in terms of information management. By utilizing information technology support, information processing can now be done quickly, and can be presented globally by utilizing the internet network. The website is a media that is currently widely used as a tool to provide services and information [1]. In its activities in the process of data collection and equipment inventory reports, the Laboratory of Business Administration Department has not implemented an optimal computerized system. So that in producing all accurate and precise reports require a relatively long time or incomplete reports produced. Inventory Information Systems can Increase the efficiency and effectiveness of data accurately Thus required testing of the application system aims to obtain certainty of the functional truth of the system and the needs of users based on the literature that supports it. In this research software testing uses white box testing and black box testing
Implementasi Sensor Magnetic Door Switch Untuk Keamanan Laci Uang Yang Berbasis Internet Of Things(IOT): Studi Kasus Toko Satoya Satoya, Ghanis Alnashit; Sulaksono, Danang Haryo
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.1067

Abstract

Theft is a crime which is an act of taking the property of another person illegally. This is contained in Chapter XXII Articles 362-367 of the Criminal Code. An act of theft exists because it is caused by poverty, ignorance, and economic pressure that tend to make people deviate (theft). Therefore, there is a development of a device with a magnetic sensor that will be installed in a store which can help sellers to be able to provide security in their shop. Researchers made an IoT-based tool for a storage security system using a magnetic door switch sensor. This sensor will be useful for shop owners so that this sensor will be installed in a drawer for storing money or valuables of the shop owner. So when someone is not known to open a drawer that has been installed using a magnetic switch, the alarm will automatically sound and give a notification message to the application that has been connected to the device.
Penerapan Metode Klustering Fuzzy C-Means Untuk Penentuan Peminatan Pemilihan Jurusan Pada Sekolah Menengah Tingkat Atas Candra, Heru Kartika; Bahit, Muhammad; Sabella, Billy
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.1106

Abstract

Determination of majors for students in accordance with the weight of knowledge conditions or commonly referred to as determining student majors in the high school environment is determined by the understanding of learning in understanding knowledge which is supported by elements of specialization, because the scientific character is proportional to the same properties of the object pursuing the science. With this assumption, someone who studies a science will be able to deepen it if he has pleasure in what he is studying. Pleasure with something being learned can affect the quality of student learning outcomes in certain scientific fields of study. It can be said that the focus on a material being studied, students will learn more comfortably and achieve a better understanding so that the weight of the knowledge learned will be achieved [1]. The process of determining the majors is held to select and classify the same students' abilities in one education department according to the field taken. This is done so that there is an adjustment to the students' interests and abilities in the desired field of majors, so that it is expected to provide comfort in learning and affect the achievement of understanding and student learning achievement. The formation of data grouping is one of the methods or methods used in parsing uniform patterns in data. Grouping analysis is the process of sorting data in a group into several groups whose data similarity in one group is greater than the similarity of the data to data in other groups [4]. A method that is often used in data set grouping is the use of the clustering algorithm [5]. There are many data clustering algorithms, one of which is frequently used, namely Fuzzy C-Means. The K-Means clustering method is not appropriate to use to classify students based on the similarity of academic abilities in the process of determining majors according to the provisions of the Ministry of National Education. Of the 42 examples, some of the data are 10 Banjarmasin Public Senior High Schools 13 which will be grouped into 3 groups based on the similarity in the value of 10 core majors. The difference between the results of clustering student data manually (based on the provisions used in SMA 13 Banjarmasin) with the results of the K-Means algorithm clustering is due to (a) the K-Means algorithm performs student data clustering based on similar data patterns (scores) in groups that are which has been set, and is not tied to a certain rule or variable values. (b) The student clustering method used in SMA 13 Banjarmasin in determining majors is grouping students based on the similarity of values ​​in predetermined groups, but tied to a certain rule or variable value, namely the minimum standard value (minimum completeness criteria value / KKM). ) to belong to a certain group.
Perancangan Service Catalogue Pada Layanan IT Di Industri Pulp and Paper Divisi Teknikal Dokumen Kontrol Berdasarkan Framework ITIL Versi 3 Lestari, Indri Endang; Cholil, Widya; Antoni, Darius; Syamsuar, Dedy; Akbar, Muhammad
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.1137

Abstract

IT services are one of the important factors in business operations in the technical document control division. The document control technical division is a division that has a vital role in supporting the construction, production and maintenance processes. This study aims to design a service catalog management using the ITIL V3 framework. The stages in designing this catalog are problem identification, data collection, data analysis, domain mapping based on the ITIL version 3 framework, domain determination, and e-catalog management design. And this research produces an e-catalog management application that contains information about the service descriptions in the technical division of document control and management of incidents that occur.
Analisa Rekam Medis Elektronik Untuk Menentukan Diagnosa Medis Dalam Kategori Bab ICD 10 Menggunakan Machine Learning Amin, Zulius Akbar; Cholil, Widya; Herdiansyah, M. Izman; Negara, Edi Surya
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 7 No 2 (2021): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v7i2.1140

Abstract

Based on observations of the business process flow at the Siti Fatimah Hospital, the background for this study was the medical record document and ICD-10 code which was carried out manual diagnosis, making it difficult for the medical record section in the proper and fast CHAPTER arrangement of the ICD-10 code. The International Statistical Classification of Diseases and Related Health Problems (ICD) can be used to calculate or record a valid patient history of hospitalization. The Cross-Industry Standard Process For Data Mining (CRISP-DM) method is used in this study to become a strategy to describe the problem in general from the domain or research unit. While the machine learning algorithm for multiclass classification uses the Naïve Bayes algorithm, Support Vector Machine, Logistic Regression to create a diagnostic model for medical action. This study predicts ICD-10 chapter categories from medical action records from electronic medical records. With this research, it is hoped that machine learning can facilitate the medical record section in predicting the ICD-10 chapter category by analyzing electronic medical record data using the Chapter ICD-10 Decision Support System information system

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