cover
Contact Name
Sucipto
Contact Email
sucipto@unpkediri.ac.id
Phone
+6285711111864
Journal Mail Official
intensif@unpkediri.ac.id
Editorial Address
Kampus II Universitas Nusantara PGRI Kediri Prodi Sistem Informasi Jl. Mojoroto Gg.I No.6 Mojoroto Kediri
Location
Kota kediri,
Jawa timur
INDONESIA
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
ISSN : 2580409X     EISSN : 25496824     DOI : https://doi.org/10.29407/intensif
Core Subject : Science,
INTENSIF Journal is a publication container for research in various fields related to information systems. These fields includeInformation System, Software Engineering, Data Mining, Data Warehouse, Computer Networking, Artificial Intelligence, e-Bussiness, e-Government, Big Data, Application Development, Geograpic Information System, Information Retrieval, Information Technology Infrastructure, Knowledge Management System, Enterprise Architecture.Published periodically in February and August.
Arjuna Subject : -
Articles 168 Documents
Evaluation of User Acceptance of Enterprise Resource Planning System at Material Resource Planning Division of PT. Xacti Indonesia Rahmadan, Fakhri; Mursityo, Yusi Tyroni; Wardani, Niken Hendrakusma
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.35 KB) | DOI: 10.29407/intensif.v5i1.14590

Abstract

The purpose of this evaluation is to evaluate user acceptance of the Glovia ERP system, whichever embedded in PC to assist operator staffs to record material stocks. The research methodology used in this study is the UTAUT model adjusted for the research problem's conditions. The issue happens because the Staff feel more comfortable with the old procedure and think it has supported their performance well. The respondents, as the sample in this study, are the staff operator from the MRP division. Data analysis is done using Partial Least Squares—the result of the research state that the Performance Expectancy variable has a significant effect on the Behavioral Intention variable. On the contrary, the other variables do not significantly affect the Behavioral Intention variable. The behavioral Intention variable has an R square value of 0.352 percent, which states that four independent variables can explain 35.2% of the Behavioral Intention variable. From the test results, it is suggested that the MRP division of PT can use the recommendations. Xacti Indonesia, as a consideration that can be used to improve the system currently applied.
Information System Strategic Planning For Tourism Transportation Company Using Ward And Peppard Methodology Prasetyo, Danianto Enggar; Wijaya, Agustinus Fritz
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.207 KB) | DOI: 10.29407/intensif.v5i1.14609

Abstract

Implementation of Information Systems in company business processes can increase efficiency and effectiveness. However, without adequate planning in the implementation of Information Systems, the performance can not have the desired impact. Therefore, a strategic plan is needed to implement the Information System aligned with the Company's vision and mission, and objectives. The method used in this research is the Ward and Peppard methodology. The background to the use of the Ward and Peppard methodology in this study is because the Ward and Peppard methodology contains a definitive and complete framework that focuses not only on technology but also on the organization's business needs. The results of this research are application recommendations and an application development roadmap for the next four years. It is hoped that this research can help improve the Company's business processes more effectively and efficiently by improving information management within an organization.
The Natural Disaster Prone Index Map Model in Indonesia Using the Thiessen Polygon Method William, Kevin Hendra; Hutomo, Kristoko Dwi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.786 KB) | DOI: 10.29407/intensif.v5i2.14612

Abstract

Natural Disasters are natural phenomena that occur at any moment that can cause loss. Indonesia is an archipelagic country located at the meeting of four tectonic plates and volcanic belts. This condition causes Indonesia to be prone to natural disasters. Therefore, it is necessary to make a natural disaster-prone index map model minimize the impact of natural disasters. In this research, the researchers used a Polygon Thiessen method for it was one of the mapping methods to determine a natural disaster based on Indonesia's vast surface and many disasters. The BNPB and Polygon Thiessen data comparison shows that BNPB data has a low level of vulnerability of 302, a moderate level of vulnerability of 148, and a high level of vulnerability of 58. In contrast, the Thiessen polygon has a low level of vulnerability of 297, a moderate vulnerability of 158, and a high vulnerability of 59. Comparing BNPB data and the Thiessen Polygon method found five differences from 40 data in the Papua region. Suggestions for further research to create an application-based information system so that it can be accessed in real-time.
Translation of the Lampung Language Text Dialect of Nyo into the Indonesian Language with DMT and SMT Approach Abidin, Zaenal; Permata, Permata; Ariyani, Farida
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (829.675 KB) | DOI: 10.29407/intensif.v5i1.14670

Abstract

Research on the translation of Lampung language text dialect of Nyo into Indonesian is done with two approaches, namely Direct Machine Translation (DMT) and Statistical Machine Translation (SMT). This research experiment was conducted as a preliminary effort in helping students immigrants in the province of Lampung, translating the Lampung language dialect of Nyo through prototypes or models was built. In the DMT approach, the dictionary is used as the primary tool. In contrast, in SMT, the parallel corpus of Lampung Nyo and Indonesian language is used to make language models and translation models using Moses Decoder. The result of text translation accuracy with the DMT approach is 39.32%, and for the SMT approach is 59.85%. Both approaches use Bilingual Evaluation Understudy (BLEU) assessment.
Integration of Zachman Framework and TOGAF ADM on Academic Information Systems Modeling Fadlil, Abdul; Riadi, Imam; Basir, Azhar
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1952.179 KB) | DOI: 10.29407/intensif.v5i1.14678

Abstract

Zachman Framework (ZF) and The Open Group Architecture Framework (TOGAF) are Architecture Frameworks often used in Architecture Enterprise's implementation. Each side of the two architecture Frameworks has advantages and disadvantages. Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Paguyangan Brebes (STMIK MPB) is a new university established on April 28, 2017; STMIK MPB as a new university has no plans in building an information system. The research will select the parts that exist in the ZF and TOGAF methodologies. The two methods will be combined and compiled to be applied to the Academic Information System modeling or blended methods. These research results are architectural blueprints that can be used as a reference in the development of academic information systems.
Code of Conduct Information System Using Simple Multi-Attribute Rating Technique (SMART) Method at SMK XYZ Habib, Ahmad; Rozi, Dafid Ainur; Kusnanto, Geri
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1979.25 KB) | DOI: 10.29407/intensif.v5i1.14728

Abstract

SMK XYZ is a vocational high school with approximately 2550 students with various majors and backgrounds, so there are many problems. For subscribers, each student gets a notebook on discipline and order; if a student commits a violation, it will be written by the discipline taught in the book. Furthermore, the counseling guidance teacher, together with the class teacher, conducts coaching; this activity is a manual system that has not been computerized. It hinders the performance of these teachers. From these problems, an order information system's analysis and design are carried out, which can facilitate and accelerate teachers in planning, directing, and monitoring. The SMART method's application to the discipline information system is based on the science of facts, which states a criterion with value; each weighted value can show and reflect comparisons between standards related to planning, direction, and supervision of students carried out by teachers. Subscription to violations using the discipline information system with the SMART method is carried out computerized, including determining sanctions and their actions to support the performance of teachers.
The Implementation of Analytical Hierarchy Process Method for Determining Livestock Alabio Duck Development Strategy in Rawa Hulu Sungai Utara Yunandar, Yunandar; Effendi, Hefni; Widiatmaka, Widiatmaka; Setiawan, Yudi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.974 KB) | DOI: 10.29407/intensif.v5i1.14770

Abstract

The cultivation of Alabio ducks (Anas Platyrynchos Borneo) so far is still natural and only involves one parameter; furthermore, each location has different characteristics. The hierarchical structure constructed has a ranking of importance as an alternative option for ducks' development in peatland ecosystems. This research aims to formulate a strategy for duck production in the Hulu Sungai Utara Regency. AHP (Analytical Hierarchy Process) method in this study is used to structure the decision-making flow from goals and alternatives and weigh the variables. Data collection was carried out with duck farming experts from academia, farmer groups, and policymakers. This study found that the availability of feed, both sago (0.254) and bran (0.218), is a significant component from an ecological perspective. Distance to market (0.307) and hatchery location (0.287) is an economic variable. The social part consists of distance from the settlement (0.443) and labor availability (0.247). Meanwhile, the availability of feed (0.282), hatchery technology (0.269), and Mina ducks (0.251) are the development strategies for duck cultivation in swamp areas, and economic stimulus (0.93) is the final contributor.
Monitoring and Notification System Air Quality Against Carbon Monoxide in The Study Room IoT based Duesa, Made Ayu; Sari, Kartika Rahayu Tri Prasetyo
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.63 KB) | DOI: 10.29407/intensif.v5i1.14844

Abstract

The increase in human activities has triggered air pollution, especially in school areas. It results from various kinds of gases from exhausts or combustion that harm health and air quality for the community. The source of air pollution from motorized vehicles is one of the most significant contributors to air pollution in the school area. To prevent and control air pollution, a tool is needed to measure the gas levels. In this study, the tool used has a feature of monitoring air quality with the Internet of Things (IoT) platform. An essential part of this device is a sensor based on a microcontroller, where The device will send the data obtained by the MQ135 sensor module to the IoT platform. People can access information about air quality via smartphone devices for air quality information in the study room. This study's average result in detecting air quality is 495, indicating a moderate level of air pollution. With the existence of an air quality monitoring and notification system in this study room, it has the potential for awareness about the importance of healthy air quality for the community, especially students who will become the nation's next-generation students 8 hours learning environment.
Technology Acceptance Model (TAM) for Evaluating Acceptance Pega Application at PT. Sinar Mas Insurance Policy Services Division Dessilomba, Geofiton Ardelan; Tanaamah, Andeka Rocky
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.225 KB) | DOI: 10.29407/intensif.v5i1.14961

Abstract

This study describes and predicts how users accept the implemented technology. This research uses a qualitative method approach. Data collection was carried out by interviewing three employees of the Policy Services Division of PT Asuransi Sinar Mas. Researchers researched in March 2020. The data obtained were then processed through data reduction, data presentation, and description conclusions. The results showed that employees in the company could accept technology because they perceive ease of use and usability. The emergence of a positive attitude towards the use of technology impacts the high interest in technology use behavior to increase the actual use of technology. The positive attitude of users towards technology is indicated by the satisfaction of using technology from employees. Researchers can measure technology acceptance based on perceived ease of use, perceived usefulness, attitudes of using technology, interest in behavior using technology, and actual behavior using technology. It is necessary to improve the actual conduct of employees using technology that can improve company performance.
Disease Detection of Dragon Fruit Stem Based on The Combined Features of Color and Texture Hakim, Lutfi; Kristanto, Sepyan Purnama; Yusuf, Dianni; Shodiq, Mohammad Nur; Setiawan, Wahyu Ade
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.916 KB) | DOI: 10.29407/intensif.v5i2.15287

Abstract

Dragon fruit is one of the favorite commodities in Banyuwangi Regency's agriculture. In 2019, this commodity had the fourth largest harvest area among other fruit commodities in Banyuwangi until it was exported to China. However, disease attacks often appeared in several dragon fruit plantations in Banyuwangi, and the identification system was still conventional. Many farmers did not know the types of disease and how to handle it, causing the quality and quantity of their crops to decline. Therefore, this study implemented two feature extraction methods. Both methods include color feature extraction using the color moments method and texture feature extraction using gray level co-occurrence matrices (GLCM). The methods used to develop a system that recognized or detected the three types of dragon fruit stem based on digital image processing using Support Vector Machine and k-Nearest Neighbors methods as comparison methods. The results obtained from this study indicated that the combination of the two proposed feature extraction methods could distinguish between stem rot, smallpox, and insect stings with an optimal accuracy score of 87.5% obtained by using Support Vector Machine as a classification method.

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