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All Journal JURNAL ILMIAH INFORMATIKA Jurnal Riset Informatika Infotech: Journal of Technology Information EBID:Ekonomi Bisnis Digital
Pusparini, Nur Nawaningtyas
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Computer Science & IT Economics, Econometrics & Finance

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ANALISIS EVALUASI PENERAPAN SISTEM INFORMASI PENGOLAHAN NILAI PADA KURIKULUM 2013 DENGAN METODE TAM Khalifah, Ummi; Pusparini, Nur Nawaningtyas; Kusmawan, Oki
Infotech: Journal of Technology Information Vol 6, No 2 (2020): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i2.95

Abstract

The purpose of the 2013 Curriculum which is regulated by the Regulation of the Minister of Education and Culture Number 67 of 2013 is to prepare Indonesian people to have the ability to be faithful, productive, creative, innovative, affective and able to contribute to life. In processing values in the 2013 Curriculum, there are 3 (three) assessments such as assessment of students' attitudes, assessment of knowledge, assessment of skills, this is expected to form student character from an early age. However, in the application of the processing, there are several obstacles including some basic competencies that need to be inputted and this takes a long time, besides that the teacher's lack of understanding of IT becomes a challenge when the teacher wants to input data into the system. In the study, the authors used data collection methods such as observation, interviews, questionnaires and literature study. Meanwhile, to evaluate the value processing system using the Technology Acceptance Model (TAM) with 4 parameters such as Perceived Ease of Use, Perceived Usefulness, Attitude Toward using, Behavioral Intention To Use. This method results in showing users believe that the value processing information system with the 2013 curriculum can provide benefits and uses. indicates the user feels confident enough that the system being used is easier to use and operate. shows the great curiosity of the user to use the system. indicates that there is a desire to continue using the system and there is a desire to influence other users to use the system.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SISWA TELADAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS : SD BHAKTI YKKP Surono, Galih; Pusparini, Nur Nawaningtyas
Infotech: Journal of Technology Information Vol 6, No 1 (2020): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i1.79

Abstract

Exemplary students are students of noble and accomplished character. Exemplary student assessments in schools are essential to motivate students to be better. Sekolah Bhakti YKKP is a school that plans to conduct an exemplary student assessment. The exemplary student assessment in SD Bhakti is taken from 8 aspects of assessment, namely: Average player ratings value, moral, discipline, attendance, point of offense, extracurricular activities of the race and book lover. A lot of data and different judging aspects become constraints in the assessment process, to solve this problem. The purpose of this research is to create a decision support system (SPK) as a solution to help schools in determining exemplary students. SPK applied is using Simple Additive Weighting (SAW) method, because this method can calculate various values based on predefined criteria and weights. After the calculation process is complete, the calculation result of the SAW method can be used to determine the student model based on the best class rating. Based on the results of the test using the PHP programming language and two methods of testing Black Box with an average percentage of 86% and testing Delone and McLean Model with an average percentage of 88%.
ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN CONTACT CENTER PLN 123 MENGGUNAKAN METODE PIECES Shosa, Andi; Pusparini, Nur Nawaningtyas; Kharisma, Nanda; Samuel, Samuel
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10125

Abstract

As the demands for quality service in the digital era increase, strategic companies such as PT. PLN (Persero) utilize Contact Center 123 as the front line of communication with customers. The background of the success of other digital innovations such as the PLN Mobile application which has been proven to significantly increase customer satisfaction, emphasizes the urgency of continuous evaluation of all service channels. This study aims to measure the level of customer satisfaction with the PLN 123 Contact Center service and provide strategic recommendations for improving quality in the future. The method used is a comprehensive analysis with the PIECES framework, which evaluates six dimensions: Performance, Information, Economy, Control, Efficiency, and Service. The results of the study showed very satisfactory system performance, with all dimensions achieving a level of conformity above 90%. The Control aspect obtained the highest score (94.81%), while the Efficiency aspect was recorded as the lowest (90.26%). Although the overall performance was very good, these findings indicate that there is clear room for improvement in the efficiency area to improve the customer experience.
PREDIKSI MAHASISWA INSTITUT SOSIAL DAN TEKNOLOGI WIDURI JAKARTA BERPOTENSI DROP OUT MENGGUNAKAN ALGORITMA NAÏVE BAYES Sultan, Sultan; Pusparini, Nur Nawaningtyas; Kharisma, Nanda; Samuel, Samuel
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10310

Abstract

Universities are responsible for producing quality graduates and reducing dropout rates (DO), a serious challenge for the Widuri Institute of Social and Technology (ISTEK). This phenomenon has a negative impact on the quality of education and accreditation, making early identification of students who have the potential to drop out (DO) very crucial. This study aims to apply the Naïve Bayes algorithm to predict the potential for dropout (DO) of ISTEK Widuri students based on data on the activities of the 2021, 2022, and 2023 intakes. Naïve Bayes has proven effective in classifying students at risk of dropping out (DO). The Semester Credit Unit (SKS) attribute is the most dominant indicator, students with low SKS have a high potential for dropping out (DO). Model performance varies for each batch, in the 2021 batch it reached 90% accuracy (100% DO precision, 40% recall), the 2022 batch showed 93.75% accuracy (100% DO precision, 60% DO recall), and the 2023 batch had 86.67% accuracy (100% DO precision, 33.33% DO recall). This model is very good at validating students who are safe from DO (100% recall of Not DO in all batches). Even so, the model still needs to be improved so that it can find all students who are at risk of dropping out (DO) as a whole. The prediction results for students with the potential for DO at ISTEK Widuri Jakarta are expected to support more optimal prevention efforts and contribute to improving the quality of education.
Decision Support System for Outstanding Students’ Selection Using TOPSIS Suryani, Irma; Sani, Asrul; Budiyantara, Agus; Pusparini, Nur Nawaningtyas
Jurnal Riset Informatika Vol. 6 No. 2 (2024): March 2024
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v6i2.285

Abstract

In the school environment, determining outstanding students holds significant importance. High academic achievement among students and a low failure rate reflect the overall quality of education. Based on the interviews, it is known that the assessment process for outstanding students at school still needs to be revised, and the current decision-making system needs to consider other factors, resulting in suboptimal selection processes. To address this issue, implementing a Decision Support System (DSS) is necessary to assist the school in selecting the best students. DSS is an interactive system providing access to data and modelling information, designed to support decision-making in both structured and unstructured situations. This DSS will be designed using the Technique for Order of Preferences by Similarity to an Ideal Solution (TOPSIS) as the alternative ranking method. The final results indicate that using the TOPSIS method in this decision support system can improve efficiency and accuracy in selecting outstanding students in the school environment.
Co-Authors AA Sudharmawan, AA Addarda, Binan Asrul Sani Asrul Sani Bagaskara, Wisnu Budiyantara, Agus Ibrahim, Wahyu Irma Suryani Irwansyah Irwansyah Khaer, Mohamad Miftahhul Khalifah, Ummi Kharisma, Nanda Kusmawan, Oki Muryono, Tupan Tri Samuel Samuel Shosa, Andi Siti Aisyah Sofyan, Mochamad Sultan Sultan Supit, Merliani Ivone Surono, Galih Tanto Wijaya, Tanto Tunu, Jibrael Yutomo Wibawa, Agusta Pratama