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J-Intech (Journal of Information and Technology)
Published by Sekolah Tinggi Informatika dan Komputer Indonesia Malang
ISSN : 23031425     EISSN : 2580720X     DOI : https://doi.org/10.32664/j-intech
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science
J-INTECH merupakan jurnal yang diterbitkan oleh Lembaga Penelitian & Pengabdian kepada Masyarakat (LPPM), Sekolah Tinggi Informatika dan Komputer Indonesia Malang. Ruang lingkup jurnal ini pada bidang Teknik Informatika, Sistem Informatika, dan Manajemen Informatika. Tujuannya guna mengakomodasi kebutuhan akan perkembangan Teknologi Informasi. J-Intech terbit setahun dua kali, yaitu Juni dan Desember.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 288 Documents
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Analisis Sentimen Analisis Sentimen Terhadap Twitter Direktorat Jenderal Bea dan Cukai Menggunakan komparasi Algoritma Naïve Bayes dan Support Vector Machine Saputra, Dedi Dwi; Fahlapi, Riza; Kuntoro, Antonius Yadi; Hermanto, Hermanto; Asra, Taufik
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1274

Abstract

Direktorat Jenderal Bea & Cukai (DJBC) is a government agency in charge of guarding and serving export and import activities in Indonesia since its establishment in 1946 which is expected by the community as the front guard in protecting the community in this field, but in recent times there have been many cases involving the institution of the Directorate General of Customs & Excise which make this institution can affect the view of the performance of this institution. With the description of the problem above, it is very interesting to conduct research on public views using tweets from twitter @bravobeacukai and @beacukaiRI which are owned and processed by Direktorat Jenderal Bea & Cukai as a place to channel public opinions and views on this institution. This research uses the Smote method with Naïve Bayes and compared with Support vector machine methods for these results to compare the level of accuracy. The results of this study found that using the Smote method with Naïve Bayes obtained an Accuracy value of 78.95%, Precision 74.01%, Recall 89.41%, and AUC 0.650 while for the Smote method with Support vector machine is worth 73.35% Accuracy, Precision 67.88%, Recall 88.95%, and AUC 0.853. Based on the research results, the smote method with Naïve Bayes has the greatest results and is effective with the dataset studied.
Penerapan Bussiness Intelligence Terhadap Penjualan Vending Machine di Central New Jersey USA Menggunakan Tableau hilmi, nizar fawwazun; Abdillah, Allif Rizki; Maulana, Putra Syahri; Prakoso, Muhammad Sidiq Bagus
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1275

Abstract

This research aims to analyze the application of Business Intelligence (BI) to vending machine sales in Central New Jersey, USA, using the Tableau data visualization tool. In the current digital era, BI is the key for companies to make faster and more precise decisions based on existing data. Vending machines as an automated sales channel produce large and varied sales data, requiring in-depth analysis to improve sales performance. This research uses a case study approach by collecting sales data from a number of vending machines spread across various locations in Central New Jersey. Data is analyzed using Tableau to identify sales patterns, seasonal trends, and factors that influence sales performance. The resulting data visualization helps in revealing important insights such as products with the highest sales, the most effective sales times, and strategic locations for vending machine placement. The research results show that using Tableau in BI is very effective in identifying and analyzing vending machine sales data. These findings provide concrete recommendations for vending machine managers to improve sales strategies, including stock management, pricing, and machine placement. Overall, implementing BI with Tableau provides significant added value in data-based decision making and can be adapted for various other types of business.
Pengembangan Portal Tiket Pelanggan Terpadu untuk Meningkatkan Layanan Penyedia Jasa Internet PT. Padi Internet Ramadhan, Hariyanto Aditya; Ramayanti, Desi
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1279

Abstract

This study aims to develop an Integrated Customer Ticket Portal to enhance the service quality of the Internet Service Provider (ISP) at PT. Padi Internet. The background of this research is the need for an effective solution to manage customer complaints and improve service responsiveness. The research employs the waterfall methodology, which includes the stages of requirement analysis, system design, implementation, testing, and maintenance. Data collection techniques used include interviews with the customer service team, observation of operational processes, and documentation studies. The results of the study indicate that the development of the customer ticket portal can reduce response time to complaints, increase customer satisfaction, and provide useful analytical data for continuous service improvement. The implementation of this portal also results in a well-integrated system, facilitating ticket monitoring and management by the internal team. The practical implications of these findings are increased operational efficiency at PT. Padi Internet in handling customer complaints and further development of additional features that support better interaction with customers.
Analisis Kepuasan Pengguna Website PPDB Online Dengan Penerapan Metode Webqual 4.0 dan IPA (Studi SMK Negeri 1 Labuan Bajo) Indriani, Liliosa; Jatmiko, Andriyan Rizki
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1282

Abstract

PPDB online is an integrated innovative service website designed by the Province of NTT in collaboration with TELKOM to facilitate and optimize the selection process in the implementation of PPDB (new student registration), the aim of which is to make it easier for prospective new students and their parents at the registration stage. Of course, many students experience difficulties such as registration confusion when they first use the PPDB website because there are too many features on the website. Based on this problem, the following research was carried out in order to understand the extent of user acceptance of the online PPDB website, an analysis of user satisfaction with the website must be carried out. Therefore, an analysis must be carried out regarding the factors that have an impact on the quality of user satisfaction. The aim of this research is to analyze the quality of the online PPDB website based on user satisfaction using the Webqual 4.0 and Importance Performance Analysis (IPA) methods. Webqual 4.0 is determined as a questionnaire preparation flow and Importance Performance Analysis (IPA) is determined as an analysis tool in the form of Gap Analysis and Cartesian quadrants. This research used accidental sampling with the number of respondents being 1,575 active students at SMK Negeri 1 Labuan Bajo with the total sample in this study being 94 students at SMK Negeri 1 Labuan Bajo class Slovin's formula. Based on the results of the level of conformity on the PPDB Online website, the usability variable is 104.84%, the information variable is 96.05%, and the interaction variable is 103.09%. This shows that the indicators for information quality, the actual quality (performance) perceived by users, are not in accordance with the expected ideal quality (importance). The results of the gap level on the PPDB Online website for the usability, information, interaction and user satisfaction variables are 0.014817, the gap value is positive 0, meaning the quality of the website meets user needs. However, there are still several indicators in the importance performance analysis (IPA) quadrant that do not meet user satisfaction.
Pengaruh Kualitas Layanan terhadap Kepuasan dan Loyalitas Pengguna Brimo Menggunakan Model E-Service Quality Adut, Fransiska Armelia; Ramadhan, Viry Puspaning
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1288

Abstract

The purpose of this study is to evaluate the quality of service offered by Bank Rakyat Indonesia's (BRI) BRIMO application, and how this impacts user satisfaction and loyalty. The Servqual method was used to survey 100 students of Universitas Merdeka Malang (UNMER). The results showed that five dimensions of service quality-tangibles, responsiveness, reliability, empathy, and assurance significantly impacted user satisfaction and loyalty. The physical elements of the BRIMO application, specifically internet availability and system responsiveness, have a significant influence on user satisfaction and user loyalty. Users are more satisfied because of the BRIMO staff responsiveness to their feedback, while users feel more comfortable and satisfied that the privacy and security of their data is guaranteed. The ability of BRIMO employees to communicate well and provide full attention increases user satisfaction and user loyalty. This research shows that improving the service quality of digital banking apps is critical to maintaining user satisfaction and their loyalty.
Analisis Kepuasan Pengguna Website SIAPEL Dalam Pelayanan KTP Elektronik Kota Malang Menggunakan Metode E-Govqual Kartikawati, Modesta Inda; Arief, Rizza Muhammad
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1299

Abstract

The implementation of e-government as an innovation in public administration using information technology prompted the Malang City government to launch the SIAPEL website, offering various public services, including electronic ID card (E-KTP) services. Despite facing challenges, such as the absence of formal research on user satisfaction, there is a critical need to evaluate the satisfaction level of E-KTP service users on the SIAPEL website. This study employs the e-govqual method, focusing on dimensions like ease of use, trust, reliability, and citizen support. The research findings indicate that all questionnaire items are valid, normally distributed, and reliable based on validity, normality, and reliability tests. The t-test identifies three significant variables influencing user satisfaction: ease of use, trust, and reliability. Furthermore, through multiple linear regressions and f-tests, it is evident that all variables significantly and positively affect user satisfaction. Overall, the e-govqual method effectively evaluates user satisfaction levels, affirming that all studied variables play a crucial role in determining user satisfaction.
Analisis Kepuasaan Pengguna Aplikasi GRAB Sebagai Transportasi Online Dengan Metode TAM Elan, Melania Seindang; Muslikh, Ahmad Rofiqul
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1304

Abstract

Grab is a company that provides digital-based transportation services that continues to improve the quality of its services. Grab offers a variety of service options, from transportation, goods delivery, to food delivery. Problems with the Grab application, such as usage problems, inaccurate location points, and fictitious orders, have an impact on consumer satisfaction. Analysis of aspects that impact satisfaction is needed to assess application performance and consumer satisfaction levels. The goal of this observation is to measure user satisfaction which can ultimately provide an overview of the success of implementing the system based on user perceptions using the TAM method. This research method uses TAM. The use of TAM in this research uses 5 variables in TAM including Perceived Ease of Use, Perceived Usefulness, Behavioral Intention, Actual Use, and Attitude Toward Using. The results obtained from this research in the form of independent variables have a contribution of 74.8% to user satisfaction, while the remaining 25.2% has an impact from other variables that are not present in this form of linear regression. This means that the independent variable has a contribution of 74.8% to user satisfaction, while the remaining 25.2% has an impact from other variables that are not present in this form of linear regression.
Komparasi Naïve Bayes dan K-NN Dalam Analisis Sentimen di Twitter Terhadap Kemenangan Paslon 02 Azizah, Alfira Fitri Nur; Ramadhan, Viry Puspaning
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1305

Abstract

The 2024 Presidential and Vice Presidential Election stands out as a highly awaited political event by the people of Indonesia. The vote counts result, or real count, of the 2024 election have sparked a variety of reactions, both supportive and opposing, especially on social media platforms like Twitter, due to the lead of candidate pair number 02. This study utilizes Twitter as a data source for opinion interpretation. The Naïve Bayes and K-NN were chosen in this study, and their performances are tested and compared. The research results present Naïve Bayes with an accuracy rate of 87.35% +/- 1.81% (micro average: 87.35%), while K-NN algorithm achieved an accuracy rate of 69.68% +/- 3.14% (micro average: 69.68%) using a data partition ratio of 90:10. The analysis results indicate that Naïve Bayes is more effective than K-Nearest Neighbor.
Evaluasi Tingkat Kepuasan Pengguna Aplikasi Unmer Malang Digital Library Menggunakan Metode EUCS Aldiansyah, Muhammad Yusuf; Jatmiko, Andriyan Rizki
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1324

Abstract

The Unmer Malang Digital Library application, an online platform established on December 14, 2023, has not yet been reviewed from a user satisfaction perspective since its inception. This study aims to evaluate user satisfaction with the application and test related hypotheses. Utilizing the End User Computing Satisfaction method and the Accidental Sampling technique for data collection, the results indicate that users are generally satisfied with the platform. Scores for various variables were: content at 3.89, accuracy at 4.15, layout averaging 4.06, ease of use at 4.11, and timeliness averaging 4. The study's hypothesis suggests that accuracy, format, and timeliness significantly affect user satisfaction, whereas content and ease of use do not have a notable impact.
Penerapan Metode Electre Dan SAW Dalam Menentukan Kelayakan Penerima Bantuan Pangan Beras Bulog Candra, Amanda Veby Dwi; Hidayati, Rahmatina
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1330

Abstract

Poverty is a complex social problem, especially in areas where basic needs are difficult. The Indonesian government itself has developed various aid programs, including the provision of food aid in the form of rice. The provision of rice food assistance is often not on target due to various factors, including errors in collecting recipient information. The importance of determining the eligibility of Bulog rice food aid recipients by considering several criteria simultaneously to ensure that the aid is on target. This study discusses the application of the Electre and Simple Additive Weighting (SAW) method in determining the eligibility of Bulog rice food aid recipients of Sukomalo Village residents. Some of the criteria used in this study were age, employment, income level, number of children, status of home ownership, drinking water source, quality of house, and electric power. Research results show that alternative A6 has a total value of E_kl=4, referred to as a primary alternative with the Electre method, while alternative A9 has a total preference value of 18 and processed by the SAW method. Based on the results of the calculation, Bulog rice food aid recipients are on target according to the conditions and conditions of recipients who are very suitable for receiving assistance.

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