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TIN: TERAPAN INFORMATIKA NUSANTARA
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27227987     DOI : -
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Jurnal TIN: TERAPAN INFORMATIKA NUSANTARA memuat tentang Kajian Bunga Rampai dari berbagai ide dan hasil penelitian para peneliti, mahasiswa, dan dosen yang berkompeten di bidangnya dari berbagai disiplin ilmu seperti: Komputer, Informatika, Industri, Elektro, Telekomunikasi, Kesehatan, Agama, Pertanian, Pembelajaran, Pendidikan, Teknologi Pendidikan, Ekonomi dan Bisnis, Manajemen, Akuntansi, dan Hukum
Arjuna Subject : Umum - Umum
Articles 582 Documents
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Best E-Wallet Selection Decision Support System using MOORA Method and ROC Weighting Mesran, Mesran; Ramli, M Saidina; Bintang, Muhammad Rizki Olihta; Rohayani, Hetty; Sallaby, Achmad Fikri
TIN: Terapan Informatika Nusantara Vol 5 No 12 (2025): May 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i12.6602

Abstract

E-wallet is an electronic payment service that is widely used by Indonesian people. Currently, there are many e-wallets on the market, making people confused about choosing an e-wallet that suits their needs. This research implements this system in a simulation environment to test and validate the effectiveness of the approach in selecting the best E-Wallet. Experimental results show that the proposed approach can provide more accurate and relevant recommendations for users in choosing an E-Wallet that suits their preferences. This research aims to build a decision support system for selecting the best e-wallet using the Multi-Objective Optimization by Ratio Analysis method (MOORA) and ROC weighting. MOORA is a multi-objective system that optimizes two or more conflicting properties simultaneously. This method is used to perform complex mathematical calculations. Decision support systems can help in the above problems. The aim of this research is to apply the MOORA algorithm to help users choose the best e-wallet that suits their needs. For the process of inputting alternative criteria weight values, the results of the system and manual process are the same, according to the results of the validity of the MOORA calculation. Where the application of the MOORA method is carried out by calculating alternative values from the algorithm and weighting, then calculations are carried out to determine the best option. The four e-wallets that are alternatives in this research are GoPay, OVO, ShopeePay, and DANA. Where the application of the Moora method is carried out by calculating alternative values from the algorithm and weighting then, calculations are carried out to determine the best option. The final results of this research showed that Alternative 1 (DANA) was chosen as the best alternative in the Best E-Wallet Selection with a preference value of 0.507.
Pengaruh Pengetahuan Investasi, Motivasi Investasi dan Preferensi Risiko Terhadap Minat Investasi Rokhim, Yusril Atiqur; Wibowo, Purwo Adi
TIN: Terapan Informatika Nusantara Vol 5 No 10 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i10.7105

Abstract

The aim of carrying out this study by researchers is to find out what influence investment knowledge, investment motivation and risk preferences have on investment interest in the millennial generation in Jepara Regency. The research was conducted using a quantitative approach accompanied by survey methods. The technique for collecting data used a questionnaire distributed to 103 millennial generation respondents in Jepara, with sampling using the purposive sampling method. Analysis of the data obtained was carried out using multiple linear regression analysis assisted by IBM SPSS Statistics 25 software. The results of this research show that the t-value of the investment knowledge variable is 2.909, exceeding the t-table (1.984) with p-value = 0.004, so it can be concluded that Investment Knowledge has a significant influence on Investment Interest. Furthermore, the t value obtained from the investment motivation variable is 2.492, exceeding the t-table with p-value = 0.014, so that Investment Motivation has a significant influence on investment interest. Risk preference obtained a value of t = 2.789 which exceeds the t-table and p-value = 0.006, so it can be concluded that risk preference has a significant influence on investment interest. After carrying out this research, researchers found that investment knowledge, investment motivation and risk preferences had a significant influence on investment interest in the millennial generation in Jepara Regency, both individually and collectively.
Pengembangan Aplikasi E-Assessment Berbasis Passing Grade Menggunakan Pendekatan Agile Software Development Irmansyah Lubis, Ahmadi
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7149

Abstract

In the digital era, the use of technology in learning evaluation is a necessity to improve the efficiency and objectivity of assessment. This research aims to develop a passing grade-based e-assessment application that allows automatic assessment of student exam results. The system is designed to provide real-time feedback and increase transparency in the academic evaluation process. Application development is carried out using the Agile Software Development approach, which allows for iterative software development with continuous updates based on user feedback. The case study was conducted in the Software Engineering Technology Study Program at the Batam State Polytechnic to test the effectiveness of the system in improving the quality of learning evaluation. The test results show that this application is able to increase the efficiency of the assessment process by reducing the time of manual exam correction and increasing accuracy in grading. Then the passing grade system helps students to understand the achievement of their competencies more clearly and encourages them to improve their understanding of lecture materials. With the implementation of this application, it is hoped that educational institutions can adopt a more flexible and adaptive technology-based evaluation system. The results of this research can be used as a reference in the development of e-assessment systems in other academic environments.
Analisis Kepuasan Masyarakat dan Evaluasi Kinerja Sistem pada Layanan Akta Kelahiran Online Berbasis EUCS+ dan PIECES Machfud, Syaeful; Prasetia, Okky
TIN: Terapan Informatika Nusantara Vol 5 No 12 (2025): May 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i12.7175

Abstract

In the rapidly advancing digital era, the Indonesian government has implemented an online birth certificate service to improve the efficiency and accessibility of public services. This study aims to evaluate both user satisfaction and system performance using two distinct approaches: End User Computing Satisfaction Plus (EUCS+) and Performance Information Economy Control Efficiency Services (PIECES). The EUCS+ model measures user satisfaction based on content, accuracy, format, ease of use, and timeliness, while the PIECES framework assesses system performance from the perspectives of performance, information, economy, control, efficiency, and service. This research employed a quantitative method by distributing questionnaires to 100 respondents who had used the online birth certificate service within the last six months. The results indicate that the highest satisfaction scores were recorded in the dimensions of format (3.81) and ease of use (3.89), whereas system speed and content quality received the lowest scores (2.30 and 2.97, respectively). In the PIECES model, the economy and efficiency dimensions showed strong performance with scores above 3.80, while the control dimension emerged as an area for improvement (2.92). These findings suggest that although the service is relatively effective in terms of visual interface and cost accessibility, significant enhancements are needed in system speed and information quality. This study contributes to a comprehensive evaluation of digital public services and offers recommendations for continuous improvement by government agencies.
Metode Design Thinking pada Aplikasi Pembelajaran Berbasis Audio untuk Mahasiswa Disabilitas Netra Rasapta, Diki
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7176

Abstract

Visually impaired students often face challenges in accessing text- and visual-based learning materials, particularly in Management Information Systems (MIS) courses, which heavily rely on diagrams and tables. This study aims to develop an audio-based learning application as a more accessible alternative, focusing on enhancing students’ understanding of MIS content. The application was developed using the Design Thinking approach, which includes five stages: empathize, define, ideate, prototype, and test. Visually impaired students were directly involved in the design and testing process to ensure the application meets their specific needs. The results indicate that the developed application significantly improves students' comprehension, with an average post-test score increase of 32% compared to the pre-test (from 58 to 90). Moreover, the use of audio-based technology enhances independent learning, reduces reliance on external assistance, and provides a more inclusive learning experience. The effectiveness of the Design Thinking approach is reflected in a user satisfaction rate of 92%, demonstrating that this method successfully delivered a relevant and adaptive solution. This study is expected to serve as a reference for the development of more inclusive learning technologies for students with special needs, particularly those with visual impairments.
Transformasi Pembelajaran Bahasa: Analisis Penerimaan “Duolingo” Menggunakan Model TAM pada Program GWEP Setiyani, Lila; Dedih, Dedih; Fajar Wati, Devi
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7177

Abstract

This research was conducted at Horizon University of Indonesia in order to implement the Global Workplaces English Program (GWEP), which encourages the development of students' foreign language skills through technology integration. Duolingo, as one of the digital language learning applications, is widely used by students to support this programme. The purpose of this study is to analyse the level of user acceptance of Duolingo using the Technology Acceptance Model (TAM), which involves the constructs of Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Use (ATU), and Behavioral Intention to Use (BIU). Data were collected through a survey of 152 active Duolingo users, and analysed using descriptive statistics and multiple linear regression approaches. Descriptive results showed that all constructs had an average score above 4 (Likert scale 1-5), reflecting positive perceptions of the ease of use and usefulness of the app. Linear regression analysis showed that PEOU and PU had a significant effect on ATU, with coefficients of 0.508 and 0.447, respectively, and R² = 0.857. That is, 85.7% of the variation in user attitudes can be explained by perceived ease and usefulness. These findings provide strategic implications for educational institutions and application developers in optimising the use of digital technology for foreign language learning in the global era.
Implementasi Data Science untuk Analisis Efektivitas Media Pembelajaran Etnobook Digital dalam Mendukung Literasi Siswa Sekolah Dasar Safitri, Ananda Dwi; Hendrik, Maulina; Pratama, Yudistira Bagus
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7182

Abstract

Rendahnya tingkat literasi siswa sekolah dasar menjadi tantangan utama dalam dunia pendidikan. Salah satu inovasi yang dapat digunakan untuk meningkatkan literasi adalah Etnobook Digital, sebuah media pembelajaran berbasis digital yang menggabungkan elemen interaktif dan konten budaya lokal. Media ini dirancang untuk memberikan pengalaman belajar yang lebih menarik dan bermakna bagi siswa, sehingga dapat meningkatkan minat baca serta pemahaman mereka terhadap materi. Penelitian ini bertujuan untuk menganalisis efektivitas Etnobook Digital dalam meningkatkan literasi siswa menggunakan pendekatan data science. Metode yang digunakan mencakup analisis statistik, machine learning, serta eksplorasi pola penggunaan media pembelajaran. Sampel penelitian terdiri dari 100 siswa yang terbagi dalam kelompok eksperimen dan kontrol. Hasil penelitian menunjukkan bahwa siswa yang menggunakan Etnobook Digital mengalami peningkatan nilai posttest yang lebih tinggi dibandingkan dengan kelompok kontrol, dengan rata-rata peningkatan 26,53 poin pada kelompok eksperimen dan 13,20 poin pada kelompok kontrol. Analisis log data juga menunjukkan bahwa siswa dengan durasi penggunaan lebih lama dan frekuensi akses lebih tinggi memiliki tingkat keberhasilan kuis sebesar 90%. Model Random Forest Regressor digunakan untuk memprediksi skor posttest, sedangkan K-Means Clustering berhasil mengelompokkan siswa berdasarkan pola penggunaan. Dengan demikian, dapat disimpulkan bahwa media pembelajaran Etnobook Digital memiliki potensi besar untuk meningkatkan literasi siswa, terutama jika diterapkan secara konsisten dan disertai dengan strategi pembelajaran yang tepat.
RAM-MEREC (Root Assessment Method - Method based on Removal Effects of Criteria): A Synergistic Approach to Weight Derivationand Alternative Ranking in the Selection of the Best Intern Employees Permata, Permata; Wang, Junhai; Setiawansyah, Setiawansyah; Pasaribu, A. Ferico Octaviansyah; Wahyudi, Agung Deni
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7198

Abstract

An effective intern selection process requires an objective and systematic approach to decision-making, especially when it involves multiple assessment criteria. This study proposes a combined approach of RAM-MEREC, which is a combination of Method based on Removal Effects of Criteria (MEREC) and Root Assessment Method (RAM), as a method to improve accuracy and reliability in the best internal selection. MEREC is used to objectively determine the weight of criteria based on the impact of the elimination of each criterion on the overall outcome. Meanwhile, RAM is used to generate alternative rankings by considering the root impact of value changes on each candidate's performance. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the calculation of the total score of all alternatives using the evaluation method that has been determined, obtained that Alternative 10 is the best candidate with the highest score of 1.4378, followed by Alternative 6 with a score of 1.4375 and Alternative 3 with a score of 1.4375. This approach not only improves the quality of decision-making, but also minimizes subjectivity and bias in the selection process.
Clustering Data Penduduk Menggunakan Algoritma K-Means Ikhsan, Tomi; Haerani, Elin; Wulandari, Fitri; Syafria, Fadhilah
TIN: Terapan Informatika Nusantara Vol 5 No 12 (2025): May 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i12.7328

Abstract

Economic inequality is still a crucial factor facing Indonesia today, from big cities to remote villages, economic inequality is still a major problem. Bina Baru Village is no exception, a village inhabited by 5,760 people with a total of 1,742 families, spread across 30 neighbourhood associations (RT) and 8 community associations (RW). Various efforts are made to overcome the problem of economic inequality, one of which is by channeling assistance or providing policies that are right on target. One of the steps to overcome this problem is to group population data in Bina Baru village using the K-Means Clustering method which aims to determine the economic level of families in the region, so that local governments can more accurately make policies on the problem of economic inequality that occurs. The data used comes from a questionnaire of 1,005 family data with 64 attributes and 1,005 individual data with 84 attributes. The application of the k-means algorithm is carried out using python, also using DBI (Davies-Bouldin Index) to determine the optimum k value. In this study, the optimal k value is 3 clusters. Based on testing, it is found that Cluster 0 represents households with medium economic conditions, cluster 1 represents groups with better economic conditions and Cluster 2 is a group of households with low economic conditions. By clustering the population's economy, it is hoped that it can help stakeholders to provide targeted policies.
Implementasi Business Intelligence Menggunakan Tableau dalam Analisis Kasus Kematian Akibat Penyakit Demam Berdarah Dengue Gilang, Oprin Muhammad; Irwansyah, Irwansyah
TIN: Terapan Informatika Nusantara Vol 5 No 12 (2025): May 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i12.7426

Abstract

Dengue Hemorrhagic Fever (DHF) remains one of the most serious infectious diseases in Indonesia, particularly in the West Java Province. The high population density, combined with environmental conditions that support the proliferation of dengue virus-carrying mosquitoes, has led to the continuous emergence of cases each year. Based on data analysis, during the period from 2014 to 2023, a total of 225,481 deaths caused by DHF were recorded in this province. When categorized by gender, the number of male fatalities reached 117,107 cases, while female deaths amounted to 108,374 cases. Among all regions, Bandung City and Bogor City recorded the highest numbers of fatalities, with 54,900 deaths in Bandung and 23,802 in Bogor during the same period. One of the obstacles faced in efforts to manage DHF is the lack of informative, concise, and easily accessible data for various relevant stakeholders. In fact, such information is crucial as a basis for determining more targeted disease prevention and control strategies. In response to this situation, this study seeks to offer a solution by applying the concept of Business Intelligence (BI) through the use of Tableau software to visualize mortality data related to DHF. The process begins with an Extract, Transform, Load (ETL) stage applied to secondary data obtained from the Satu Data Indonesia portal, involving a total of 540 data records on DHF deaths. This is followed by analysis and presentation in the form of an interactive dashboard. The visualization results are displayed using various types of charts, including geo mapping, line charts, horizontal bar charts, stacked bar charts, and pie charts. Each visualization provides clearer insights into the annual trends of DHF cases, distributions by gender, and the geographical spread of fatalities across all regions in West Java. In conclusion, the implementation of Tableau within the Business Intelligence framework has proven effective in processing and simplifying initially complex data into visual information that is easier to interpret. Furthermore, these visualizations can serve as a valuable reference for data-driven decision-making processes, particularly in supporting the prevention and control efforts of DHF cases in the West Java Province.

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