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Smatika Jurnal : STIKI Informatika Jurnal
Published by Universitas Bhinneka Nusantara
ISSN : 20870256     EISSN : 25806939     DOI : https://doi.org/10.32664/smatika
Core Subject : Science,
Computer Science & IT
SMATIKA: STIKI Informatika Jurnal is a journal published by Lembaga Penelitian & Pengabdian kepada Masyarakat (LPPM) of Universitas Bhinneka Nusantara Malang. The scope of this journal in the field of Computer Science, Information Systems, and Information Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 258 Documents
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Algoritma Sequential Search Dan MD5 Pada Aplikasi Inventory Barang Berbasis Web Doni Alfiyan; Septi Andryana; Ira Diana Sholihati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.902

Abstract

Along with the development of IT companies began to utilize information systems. This technique makes it easier to find data so it is widely used. And also, if the data is stored using computerized techniques, the data information will be stored properly so as to avoid delays if you are still using a manual system. The system design method uses Agile software development. The programming language used to make the application is PHP, HTML, CSS, Javascript and the DBMS (Database Management System) used is MySQL. The source code is created using the Sublime text editor application. After creating the application, the next researcher conducted testing using the black box testing method. This goods inventory application was developed using the PHP programming language on a web-based platform to make it easier to access from various platforms that only require a browser. The Sequential Search and MD5 algorithms are implemented in a data search system and inventory in a warehouse that has security so that it makes it easier to search data, view stock of goods and company data is protected from people who are not prioritized so that it is more effective and efficient. The results of this study are that the existence of this inventory system application makes it easier in the storage process, reduces risks in the product search process and data security is more guaranteed.
Prediksi Pengadaan Stok Produk Menggunakan Algoritma Single Moving Average Dan Single Exponential Smoothing Septi Andryana; Muhammad Iqbal Nasution; Albaar Rubhasy
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.918

Abstract

Information systems and technology have a crucial role in people's lives because they help make effective decisions. Reliability in predicting Vape sales of liquid products is a priority to improve Vape shop services and profits. However, Vape Industrial does not yet have a method for forecasting the future sales of liquid goods, causing some liquids to experience an excess or shortage. In this study, an application was developed to predict the amount of stock needed in the next period. Consumer transaction data in the previous period were analyzed using the Single Moving Average and Single Exponential Smoothing algorithms. The two algorithms are compared based on the results of error calculations in choosing the right algorithm for product stock prediction. The test results show that this application is successful in predicting Besti Matcha's liquid stock well. For the daily period, the Single Exponential Smoothing algorithm with the alpha 0.2 method gives the right prediction results, with predictions of selling 1 product and an error value of 0%. As for the weekly period, the Single Moving Average algorithm with 5 periods gives predictive results of 5 products sold and an error value of 25%. For the monthly period, Single Exponential Smoothing with an alpha of 0.2 gives prediction results of 21 products sold and an error value of 10.5%. With this application, it is hoped that Vape Industrial can be effective in predicting stock requirements for the next period and avoiding excess product losses.
Sistem Informasi Klasifikasi Minat Siswa Terhadap Ekstrakurikuler Untuk Pembinaan Lomba Dengan Metode K-Means Clustering Ahmad Fanani; Siti Aminah; Febry Eka Purwiantono
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.920

Abstract

Extracurricular activities at MI (Madrasah Ibtidaiyah) As – Shodiq are only used for activities outside normal school hours to fill out report cards, but problems arise. in the competition is not optimal. With the existing problems, it is expected that the information system built using the website combined with the k-means clustering method can solve the existing problems. By referring to the values ​​in the report cards and daily values, they become parameters for the k-means clustering method. In this study using the waterfall methodology, in the waterfall methodology there are various stages, such as requirements analysis, design, development and testing. This research aims to classify students in extracurricular classes which will then be fostered to maximize extracurricular activities. So, based on the results of research conducted in the development of an information system in the form of a website combined with the k-means clustering method, it has been able to classify students into classes of subjects in extracurricular, so that teachers can foster students in each class long ago. to prepare for the competition. However, in the information system there are still some obstacles such as the time of calculating k-means and features that can be added for further research.
Sistem E-Office Berbasis Web Pada Kantor Pemerintah Daerah Bagian Kesejahteraan Rakyat Kabupaten Muara Enim Bernard Abdurrahman; Suryayusra Suryayusra
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.926

Abstract

The Muara Enim Regency People's Welfare Regional Government Office faces obstacles in conventional administration. E-office systems overcome these challenges by digitally organizing incoming and outgoing mail, managing office inventory, and integrating activity agendas. The use of this system is expected to improve service quality, administrative efficiency, information accessibility, employee collaboration and responsiveness to the community. With the e-office system, the Muara Enim Regency People's Welfare Regional Government Office can improve efficiency, transparency and quality of public services. Web-based e-office systems are an effective solution for automating administration and increasing work efficiency. This research aims to measure the effectiveness of the program, analyze the factors that influence its success, and provide policy recommendations that can improve and expand the positive impact of the program, so as to provide guidance for local government decision making in an effort to improve the welfare of rural communities in a sustainable manner. Research results from the web-based E-Office system at the Muara Enim Regency People's Welfare Regional Government Office have provided a significant positive impact in increasing efficiency, transparency and quality of public services.
Perancangan Sistem Informasi Akuntansi Persediaan Bahan Baku Kain Hasil Maklon Berbasis Web Pada Perusahaan Manufaktur Kristina Lena Owa; Karyadi Karyadi; Falaah Abdussalaam
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.928

Abstract

The recording system for supplies of raw materials made of Maklon fabrics at PT. Leading Garment Industries is still done manually. Therefore, the resulting information report is inaccurate and takes a long time to produce a raw material report. The purpose of this research is to help manage and separate the data from the inventory of other raw materials and raw materials for fabric produced by Maclon appropriately and accurately. In this study, qualitative research methods are used with a descriptive approach. Data collection methods include observations, interviews, and case studies. The development system used is the waterfall method. Maklon's raw material inventory information system is designed for the Web with the PHP programming language and MySQL database. Based on the results of the research, the author will create an information system for Maklon raw materials and fabric inventory in the manufacturing company. Test results conclude that the designed system has been successful and in line with what was desired. The establishment of an accounting information system for raw material supplies will help in the processing of data and the provision of information reports for raw material supplies required by the related departments in the manufacturing company.
Pengembangan Website Chatbot Untuk Kampus Bina Darma Syahrul AlFahryan; Suryayusra Suryayusra
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.930

Abstract

The Bina Darma Campus has experienced rapid growth in recent years, resulting in increased complexity in managing various aspects of campus life. One of the problems that arises is the increase in demand for information services and assistance for students. To overcome this challenge, developing a chatbot website is the solution. Chatbots can increase efficiency in providing information and better interaction experiences to users. This research aims to develop a chatbot website that can be used by the Bina Darma Campus. This chatbot is designed to provide information about class schedules, campus facilities, administrative procedures, and other general questions frequently asked by users. The methodology used is the spiral method, which consists of 5 stages, namely planning, analysis, design, implementation, and testing. Then, the chatbot was developed by applying natural language processing technology and integrated with the campus information system. After that, a chatbot trial was carried out with the participation of students. Statistical analysis is used to interpret research results. The research results show that the development of a chatbot website for the Bina Darma Campus was successfully implemented efficiently. Chatbots are able to provide fast and accurate responses to user questions, which then results in a high level of user satisfaction with the experience of interacting with the chatbot. Apart from that, chatbots have also succeeded in reducing the workload of administrative staff in providing routine information to users. These findings indicate that chatbots have the potential to improve the overall efficiency of campus services.
Pencarian Lokasi Tempat Ibadah Terdekat di Kota Bengkulu Menggunakan Algoritma Ant Colony Optimization (ACO) Agung Kharisma Hidayah; Nur’aini Nur’aini; Anisya Sonita; Saparudin Saroni
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.933

Abstract

As a country with a population that has various religions, including Islam, Christianity, Buddhism and Hinduism, Indonesia also has many places of worship spread throughout the region. Bengkulu is an area visited by many tourists, both local and foreign. Therefore, public facilities in Bengkulu are very necessary, one of the facilities needed is a place of worship. Information about places of worship is important and needed by tourists, especially information about the nearest route that can be taken to the place of worship. This research was carried out in order to build a system that can provide information on the nearest places of worship as well as directions that can be used as a guide to that location by implementing the Ant Colony Optimization Algorithm to find the nearest route. This application, which was created using the PHP programming language and MySQL database, can be used with various devices because this application is website-based. The application of the Ant Colony Optimization algorithm produces a route that has the shortest distance to the location of the place of worship.
Prediksi Kategori Serangan Siber dengan Algoritma Klasifikasi Random Forest Menggunakan Rapidminer Saddam Rabbani; Diana Diana
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.934

Abstract

Cyber attacks are a serious threat to organizations or institutions that use computer networks in their operations, one of which is Communication and Informatics Department of Palembang. Therefore, this study aims to implement the Random Forest classification algorithm on the Rapidminer platform to predict cyber attack categories at the Communication and Informatics Department of Palembang. The data used in this study is cyber attack data from firewall devices for a certain period. The data is processed using Rapidminer with the Random Forest algorithm to predict cyber attack categories. The results of this research provide a high accuracy value, thereby enabling the responsible team to take preventive action or response detrimental cyber to the Communication and Informatics Department of Palembang. After evaluation using the confusion matrix and accuracy score, the results obtained were 99.84% accuracy and out of bag error 0.16.
Aplikasi Pengenalan Alutsista Berbasis Mobile Menggunakan Augmented Reality (AR) Ridwan Dwi Sofian; Suhendro Busono; Yunianita Rahmawati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.936

Abstract

Indonesia as a sovereign state has made significant progress in increasing its capacity for defense. Since then, Indonesia has continued to work together to increase the capacity of defense equipment as the main support of the Indonesian National Army. In this strategic position, Indonesia has open sea and land borders with several neighboring countries. This makes Indonesia vulnerable to security threats resulting in national instability. This research aims to develop a Mobile-Based Defense Equipment Recognition Application using Augmented Reality (AR) which is able to recognition defense equipment models in the field of education, which is used as a means of learning media, so that people who don't know about defense equipment in AR form can find out. With the ability to scan objects in three dimensions, so that they can explore the introduction of defense equipment digitally through applications and can increase knowledge.
A Web-Based Decision Support System Implementation for Evaluating Premier Smartphone Brands Using Weighted Product Method Novia Hasdyna; Rozzi Kesuma Dinata; Sujacka Retno
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.939

Abstract

In the current modern era, smartphones have become an indispensable part of daily life, extensively utilized across a multitude of activities, particularly through online platforms. This underscores the imperative of aiding individuals in making precise decisions regarding the smartphone that aligns most with their needs. To address this exigency, the development of a Decision Support System (DSS) employing the Weighted Product method assumes paramount significance in this research. This DSS empowers users to select the most fitting smartphone by assigning weight values to various performance metrics. The criteria used in this research are price, RAM, ROM, battery capacity, and Android version. The successful implementation of this system streamlines the smartphone selection process, enabling users to make judicious choices that perfectly cater to their requirements while optimizing performance metrics.. In this research, Poco X3 Pro has the highest Vector V value of 0.255441, making it the best-recommended smartphone.

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