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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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Pengembangan Sistem ERP Modul Inventory Management Pada Kantor Perwakilan PT. BGA Group Eka Prasetyaningrum; Benny Setyawan
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.v13i01.749

Abstract

Entering the industrial era 4.0, companies are required to be able to survive with all kinds of risks faced. PT. Bumitama Gunajaya Agro Group is one of the plantation companies and palm oil mills in Central Kalimantan. PT. BGA Group has a representative office located in Sampit City. In managing inventory of goods at the Representative Office at PT. BGA Group has been computerized but has not been well integrated. For data collection of requests for goods from the farm, vendor data collection, incoming and outgoing goods, and shipping goods must still be recorded one by one into Microsoft Excel. Therefore, it is necessary to have a system that can make it easier for employees to make requests, record and even search for the data needed so that the ERP inventory module can be a solution. For the system development method use the Agile method with testing black box. Based on the test results, the existence of an inventory system can make work easier and can shorten the time in the process of managing company data.
Analisis Sentimen Terhadap Kandidat Calon Presiden Berdasarkan Tweets Di Sosial Media Menggunakan Naive Bayes Classifier Allif Rizki Abdillah; Firman Noor Hasan
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.v13i01.750

Abstract

This research is to analyze the sentiments of the Indonesian people about the presidential candidates who are likely to advance in the 2024 presidential election from tweets on the Twitter application. Tweets on Twitter are written, typed and published by Indonesian netizens about the candidates who are likely to advance in the 2024 presidential election. In this study, researchers used tools, namely RapidMiner Studio to collect tweet data from Indonesian netizens about the candidates. Furthermore, the researcher uses the Naïve Bayes Classifier algorithm to determine whether a statement or sentiment has a positive or negative value which is carried out using Rapid Miner tools as well. Of the four candidates that the researchers examined, Anies got 74% positive sentiment 26% negative sentiment, then followed by Sandi, namely 57% positive sentiment 43% negative sentiment, Ganjar received 53% positive sentiment 47% negative sentiment and Prabowo received 32% positive sentiment. 68% negative sentiment. The conclusion of this research is to find out which candidates are liked or favored by the Indonesian people from the results of sentiment analysis using the Naïve Bayes algorithm and the tools used, namely Rapid Miner.
Analisa kepuasan pengguna terhadap Aplikasi ThatQuiz dengan Metode WebQual 4.0 Hairun Anisyah; Tata Sutabri
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.v13i01.763

Abstract

SMKN 5 Palembang is a school that has begun to utilize information technology in its teaching and learning process, this can be seen from the implementation of e-learning as a supporting medium in teaching and learning activities. Apart from the e-learning, in the process of evaluation or school exams, several teachers have implemented an information technology-based exam system, namely the application thatQuiz which can be accessed via the internet either with a PC or mobile device. To measure the quality of a system or website whether it can be said to be good or not can be seen from the level of user satisfaction with the system. The webqual method is one of the most appropriate methods and is widely used in measuring the quality of a system. The way the method works is seen based on the processed results of the questionnaire data which is the opinion of the users which is compiled based on 4 important variables, namely the aspects of use, the quality of the information, the quality of system and user interaction and the general quality of the system. The purpose of this research is to get the results from the analysis of user satisfaction using the ThatQuiz application using the Webqual method. The results obtained later are the answers to the temporary hypotheses that the authors produce. The result is that the information variable has a significant positive effect on satisfaction, although the effect is small, the interactive variable has a significant positive effect on satisfaction, with a moderate effect according to the F test.
halaman Depan SMATIKA Jurnal Volume 12 Number 02, Desember 2022 Siti Aminah
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 12 No 02 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Evaluasi Kepuasaan Penggunaan Sistem Akademik Menggunakan Metode WebQual 4.0 dan IPA Ari Hardiyantoro Susanto; Edi Surya Negara
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.v13i01.810

Abstract

Musi Rawas University is one of the private tertiary institutions in the LLDIKTI Region II Sumbagsel area which is based in Lubuklinggau City, South Sumatra. Based on PDDIKTI data for the 2021/2022 academic year, Musi Rawas University has 11 Study Programs with a total of 1,706 students. Since the implementation of SIAKAD, Unmura has never evaluated both the quality aspect of its use and the performance of the system. This is of course important to do, because this SIAKAD will not only be applied in the present but will continue to be sustainable every year. In addition, the intended evaluation will have important value for management as an inside for the development and improvement of SIAKAD so that it can be better in the future. Performance evaluation of SIAKAD at Musi Rawas University. To do this, one of the analytical methods known as Webqual 4.0 and IPA (Importance Performance Analysis) will be applied. The results obtained from this study are the usability indicator of the correspondent's answer getting a satisfied response with a value of 75.4%, and the informant quality indicator of the correspondent's answer getting a satisfied response with a value of 77.4% and the interaction quality indicator of the correspondent's answer getting a satisfied response with a value of 63.4%.
Halaman Depan SMATIKA Journal Volume 13 Number 01, Juni 2023 Siti Aminah
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.v13i01.891

Abstract

Otomatisasi Pemberi Pakan Kura-Kura Menggunakan Fuzzy Logic Dan Base64 User Password Security Berbasis Esp8266 Muhammad Naufal Asamukti; 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.v13i02.892

Abstract

Currently, many automation systems have been implemented in various fields, one of which is animal husbandry. There are many hobbyists who want to keep turtles, both for care and for business. It is quite difficult now to be preoccupied with matters that require leaving the house. Therefore the owner must have a lot of free time to care for the turtles. In fact, keeping turtles is also not easy, there are many obstacles to face. One of them is to provide feed manually by still using human power, therefore the aim of this research is to make an automatic feeding device to make it easier for turtle keepers to provide feed automatically with a set time that can be determined. This study uses ESP8266 as a hardware platform to connect to a Wi-Fi network. In this study monitoring feed via the web and connected to the tool to be made, the author integrates ultrasonic sensors for testing based on the percentage of remaining feed that comes out, with the method used, namely Fuzzy Logic to calculate the percentage of the remaining feed that comes out. By using an ultrasonic sensor this research has been successfully carried out according to the main purpose of the research, the results of this test have been carried out and got the desired result of the author, namely 100, which means that if the feed capacity is 8cm during the day, the servo will open according to the action given, and it can be concluded that this research has been successful.
Perancangan Sistem Pemesanan Makanan Menggunakan QR-CODE dan Linear Search Berbasis Web Asep Sunan Ali; 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.v13i02.896

Abstract

Technological advances in the field of mobile applications for online purchases, especially those involving food and beverages, have grown significantly in the current era of globalization. To overcome this problem, the reviewer uses QR code scanning technology. This QR code technology was chosen because it can offer a very fast, simple, precise and mechanical data collection method. The purpose of designing this application is to make it easier to order food and drinks using QR-codes. In this study using the Linear Search Algorithm method as a search for food and beverage data. Linear Search works on unordered or ascending text sequences. he looks for data by comparing one by one the elements of a set, write them in a table or array, by starting the search on the first element in the sequence of a set. From the results of the tests that have been carried out, it can be seen that the earlier the position of the food and beverage menu data that is being searched for, the longer the program will take to find the intended data, the faster it will be. Meanwhile, the later the data menu position you are looking for, the longer the program execution time will be. Here proves that the index position of the data you are looking for is very influential on the speed of searching for the data. So that the average value is obtained as follows, the data is in the initial position 0.25 seconds, the middle position is 0.27 seconds, the final position is 0.29 seconds. While the use of memory that is used both eat the same memory storage, which is 523kb.
Penerapan Decision Tree (ID3) Untuk Profiling Mahasiswa dan Alumni Salsabila Vebi Natasya; Rolly Maulana Awangga; M Yusril Helmi etyawan
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.v13i02.898

Abstract

Profiling of students and alumni is a study that aims to identify the characteristics of individuals who enter and leave an educational institution. Through the analysis of the collected data, this study can provide valuable information for the institution namely the University of Logistics and International Business to improve the programs offered and help students and alumni to plan their careers. The data used in this study were obtained from scraping on the linkedin web, which totaled 300 data. With the ratio of the distribution of testing data and test data as much as 75%: 25%. The purpose of this research is to apply the decision tree method to student and alumni profiling at the International Logistics and Business University to see how accurate the profiling is produced using the id3 decision tree method. Conclusions that can be drawn from the results and discussion of the research that has been done. So the most influential attributes for getting students and alumni to get jobs are organization and certification skills. After forming a decision tree rule with the id3 algorithm, pre-pruning and post-pruning is done to ensure that the resulting decision tree is not overfitting. Then the accuracy obtained for the train data is 0.64 or 64% and the test data is 0.61 or 61%. With a recall of 0.36 or 36% and a precision of 0.6 or 60%.
Analisis Sentimen Masyarakat Mengenai RUU Perampasan Aset Di Twitter Menggunakan Metode Naïve Bayes kivandi Nugroho; Firman Noor Hasan
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.v13i02.899

Abstract

The development of the world is growing especially in social media, one of which is Twitter. Twitter itself is a social media that can be accessed by various groups to communicate, besides that there are various kinds of public opinions that are quite varied. Data collection from Twitter can be used to conduct sentiment analysis in order to find out public opinion. The research conducted by researchers is an analysis of public sentiment regarding RUU Perampasan Aset that has never been passed. This research starts from data collection, processing, data implementation and evaluation using rapidminer tools. In the data retrieval process, researchers used the keyword "RUU Perampasan Aset", the data that was successfully obtained was 413, which was then processed at the Preprocessing stage so that later it could be analyzed using the naïve bayes method in this process 179 data were obtained. The results obtained in the form of positive and negative analysis of RUU Perampasan Asetl, obtained as many as 131 or 73% positive comments and only 48 or 27% negative comments. For positive class precision 90%, and class recall of 55%, while for negative class precision 42%, and class recall of 85%, with accuracy obtained at 63%.

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