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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic International Journal of Artificial Intelligence Research Jurnal Teknoinfo Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Teknik Informatika (JUTIF) SCIENCE : Jurnal Inovasi Pendidikan Matematika dan IPA Humantech : Jurnal Ilmiah Multidisiplin Indonesia Instruktur: Jurnal Pendidikan Guru Madrasah Ibtidaiyah EDUCTUM: Journal Research Journal of Business, Social and Technology Eduvest - Journal of Universal Studies Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Journal of Economics, Business, Management, Accounting And Social Sciences TOFEDU: The Future of Education Journal Jurnal Lentera Pengabdian Jurnal Informatika Ekonomi Bisnis Journal of Language Intelligence and Culture Jurnal Computer and Technology The Indonesian Journal of Computer Science Jurnal Wicara Desa
Nadya Safitri, Nadya
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Public Health Social Sciences Other

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Customer Knowledge Management Success Factors and Challenges in Service-Related Sectors: A Systematic Literature Review Larasati, Nurul Aulia; Andani, Monica Ratna; Safitri, Nadya; Sensuse, Dana Indra
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.52186

Abstract

Customer Knowledge Management (CKM) has become crucial for organizations in service-related sectors aiming to enhance customer satisfaction, loyalty, and overall performance through effective management of knowledge for, from, and regarding customers. However, implementing CKM presents both opportunities and significant hurdles. The purpose of this study is to provide an exhaustive understanding of these aspects by systematically reviewing recent literature to identify the critical success factors and key challenges associated with CKM implementation in service-related sectors. A systematic literature review (SLR) was conducted following established guidelines, searching major academic databases (Scopus, IEEE Xplore, ACM Digital Library, Taylor & Francis, ScienceDirect) for relevant studies published up to 2025. Following a rigorous screening and quality assessment process, 21 primary studies were selected for data extraction and synthesis. The findings reveal several key success factors categorized under Technology (e.g., CRM platforms, collaborative tools), Organization (e.g., top management support, customer-oriented culture, clear strategy), Human (e.g., employee skills, training, trust), and CKM Process (e.g., effective knowledge acquisition, sharing, application). Conversely, significant challenges identified include strategic issues (e.g., lack of clear objectives, difficulty measuring value), technological barriers (e.g., lack of appropriate technology, data integration issues), organizational and cultural resistance (e.g., lack of sharing culture), and human resource challenges (e.g., skill gaps, high turnover, knowledge hiding). This review consolidates current knowledge, offering valuable insights for practitioners seeking to navigate CKM implementation in service industries and providing directions for future research.
Machine Learning Predictive Model for Analyzing the Influence of Academic Performance on Course Completion in Algorithms and Programming Arifin, Rita Wahyuni; Safitri, Nadya; Farisi, Imam
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 2 (2025): September 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i2.11463

Abstract

The success of students in core computer science courses such as Algorithms and Programming is a critical factor in their academic journey, as it reflects both mastery of fundamental concepts and readiness for more advanced studies. Academic performance in this course is not only shaped by grades but also by behavioral and psychological attributes that influence learning outcomes. This study investigates the influence of academic performance on graduation in Algorithms and Programming using a predictive machine learning approach. The dataset includes 106 student records encompassing academic variables (attendance, average grades, assignment scores), psychological factors (motivation, anxiety toward examinations), and behavioral indicators (discussion participation, AI tool usage, online learning activities). The research adopts the SEMMA methodology, consisting of sampling, exploration, modification, modeling, and assessment. Several classification algorithms were tested, and Random Forest was selected as the primary model due to its strong performance and interpretability. The results indicate that academic achievement variables, particularly average grades and attendance, significantly influence graduation. Additionally, non-academic factors such as motivation, discussion activity, and exam anxiety contribute to predictive outcomes. The model achieved an accuracy of around 91% and an AUC score of 0.93, confirming its reliability in distinguishing between students who passed and those who did not. These findings highlight that academic performance influences success in algorithm and programming courses.
Sentiment Analysis and Topic Modeling for Discovering Knowledge in Indonesian Mobile Government Applications Hamid, Ricky Bahari; Andriansyah, Chandra; Sensuse, Dana Indra; Lusa, Sofian; Elisabeth, Damayanti; Safitri, Nadya
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.4991

Abstract

The accelerated rate of government applications development in Indonesia has introduced new opportunities and challenges in delivering digital public services. While thousands of apps have been developed, systemic issues ranging from usability flaws to authentication failures persist, as reflected in user reviews on platforms like the Google Play Store. This study adopts a knowledge discovery approach to extract actionable insights from more than 17,000 user-generated reviews across three major government applications: Satusehat, Digital Korlantas, and M-Paspor. A hybrid methodology is applied, combining RoBERTa-based sentiment classification, BERTopic-based topic modeling, cosine similarity analysis, and qualitative user validation. The findings reveal recurring issues in authentication, interface design, and system responsiveness that span across organizational boundaries. Cross-app topic correlation highlights critical shared pain points such as login failures and unintuitive UI that undermine user trust in e-government services. Mapping these insights onto the SECI knowledge management model, this research contributes both practical recommendations and a replicable analytical framework for public agencies seeking to institutionalize user feedback. By transforming fragmented digital feedback into organizational knowledge, this study supports continuous service improvement and strengthens the foundation for user-centric e-government.
Implementasi Artificial Intelligence (AI) Menggunakan Canva Dalam Pengembangan Powerpoint Interaktif Sebagai Medi Pembelajaran IPAS Di Sekolah Dasar Estuhono, Estuhono; Safitri, Nadya
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 2 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i2.3408

Abstract

This research is motivated by difficulties students face in understanding IPAS learning. This is because the teaching materials used are still in the form of printed media, while the facilities and infrastructure are very limited, and even students are very enthusiastic about digital learning. Therefore, this has impact on student’s learning outcomes. The aim if thus research is to produce interactive PowerPoint using canva as a learning medium for IPAS in a valid, practical, and effective manner. The research methoud used is the research and development (R&D) method. The learning model used is the ADDIE model, consisting if five stage: Analyze (analysus), design, development, implementation, and evaluation. The type of data collected is qualitative and quantitative data. Data collection techniques used in this research are interviews, observations, and questionnaires. The results of the validation of the interactive PowerPoint for IPAS subjects in fourth grade, validated by three validators, obtained a score of 80,55% categorized as valid. The practicality result assessed from students’ responses obtained a score of 78,3% categorized as practical. Based on this analysis, it is concluded that the interactive PowerPoint using the canva application is declared practical. Furthermore, the effectiveness was assessed, and students’ learning outcomes obtained an average score of 83,52% categorized as very effective.
Translation Techniques and Their Impacts on Translated Verbs in iPhone User Guide Novitasari, Nine Febrie; Firdaus, Ahmad Yusuf; Safitri, Nadya; Rachman, Alif Fatahilla
Journal of Language Intelligence and Culture Vol. 7 No. 1 (2025): Journal of Language Intelligence and Culture
Publisher : Faculty of Tarbiyah and Teacher Training, IAIN Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/jlic.v7i1.624

Abstract

This study looks at how verbs are translated from English to Indonesian in the iPhone 13 Pro Max user guide, and how the translation techniques used affect how acceptable the translations are to Indonesian readers. While many studies have looked at translating technical texts, not many have focused on verbs or how they affect users’ understanding. This study fills that gap by focusing on verbs, which are important in user guides because they give instructions that need to be clear and easy to follow. The study uses a qualitative method, applying Molina and Albir’s (2002) framework to identify the translation techniques, and Nababan’s (2012) model to measure how acceptable the translations are. Five Indonesian iPhone users were asked to rate how natural and clear the translated verbs were using a three-point scale. The results show that established equivalent was the most commonly used technique and had the highest acceptability. Other techniques such as linguistic compression, compensation, transposition, and modulation were used less often but were still mostly acceptable. By connecting translation techniques to user feedback, this study offers a focused and user-centered contribution to translation studies. It also gives useful insights for translators and user guide developers who want to make their translations clearer, more culturally appropriate, and easier to understand.
PENGEMBANGAN UMKM SERTA PENGABDIAN DI BIDANG PENDIDIKAN DAN KESEHATAN DI DESA LANGKO Hidayat, Rahmat; Wirawan, Devitha Octaviana; Sulastri, Eva; Atikasari, Atikasari; Zakhrah, Siti; Oktaviana, Putri; Yusri, Diah Laili; Fatrani, Baiq Nuinsa Sohi; Febianingsih, Rahmiana; Safitri, Nadya
Jurnal Wicara Vol 1 No 3 (2023): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v1i3.2426

Abstract

Real Work Lecture (KKN) is a form of community service activity carried out by tertiary institutions. In the KKN activities carried out in Langko Village, Lingsar District, West Lombok Regency. Student groups carry out activities with the aim of developing village potential. The purpose of carrying out this activity is to develop the potential that exists in the village such as palm sugar and banana-cassava chips as well as carry out services in the fields of education and health. The method used is palm sugar to palm ant sugar, flavors of banana and cassava chips, socialization on prevention of early marriage, clean Friday, healthy Saturday, teaching at tpq, calistung, teaching at school. The results obtained were to help develop the business of making palm ant sugar, increase the reading and numeracy skills of school students, outreach to prevent early marriage, CALISTUNG for the elderly so that they still know letters and numbers can also read and write, help teach the Koran TPQ, Friday is clean so that friendly relations were established by working together, developing a chip business by providing flavor variants and updating packaging and also healthy Saturdays were carried out so that residents in Langko village could maintain good friendships. Apart from that, the Mataram University Integrated KKN group is also involved in various other activities, namely helping prepare food for pregnant women in Langko Village as well as delivering it to their respective homes, posyandu activities and cleaning the village environment. The results of the activities above show that the activities of the Mataramini University Integrated KKN Group have carried out several work programs for the potential that exists in Langko Village related to mapping village potential and developing existing potentials in the fields of MSME, education and health.
ANALISIS PENERAPAN TEORI BELAJAR BRUNER BERBANTUAN MEDIA KANTONG HITUNG PADA OPERASI BILANGAN CACAH PENJUMLAHAN PENGURANGAN KELAS I SDN 10 MATARAM SAFITRI, NADYA; KARMA, I NYOMAN; FAUZI, ASRI
SCIENCE : Jurnal Inovasi Pendidikan Matematika dan IPA Vol. 4 No. 3 (2024)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/science.v4i3.3161

Abstract

This study was conducted to determine the application of Bruner's Learning Theory assisted by counting bag media on the addition and subtraction operations of whole numbers for class 1 at SDN 10 Mataram. This study is a descriptive qualitative study. The teacher of class 1B at SDN 10 Mataram and all students of class 1B became the sources of the research conducted and the objects studied were the application of Bruner's Learning Theory in the class. Data collection techniques used in this study were observation, interviews, and documentation. The data analysis technique used was the Miles and Huberman Interactive Data Analysis Technique. The results of the study showed that Bruner's Learning Theory at SDN 10 Mataram was implemented well. With the stages of Enactive 100%, Iconic 68.18%, Symbolic 86.36%. ABSTRAKPenelitian ini dilaksankan untuk mengetahui penerapan Teori Belajar Bruner berbantuan media kantong hitung pada operasi bilangan cacah penjumlahan pengurangan kelas 1 di SDN 10 Mataram. Penelitian ini merupakan penelitian kualitatif deskriptif. Guru kelas 1B di SDN 10 Mataram serta seluruh siswa kelas 1B menjadi sumber penelitian yang dilakukan serta objek yang diteliti yaitu penerapan Teori Belajar Bruner di dalam kelas tersebut. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, serta dokumentasi. Teknik analisis data yang digunakan adalah Teknik Analisis Data Interaktif Miles dan Huberman. Dari hasil penelitian menunjukkan bahwa, Teori Belajar Bruner di SDN 10 Mataram terlaksa dengan baik. Dengan tahapan Enaktif 100%, Ikonik 68,18%, Simbolik 86,36%.
Knowledge Management Success Factors for Indonesia Local Government: Case Study Pontianak City Government Irmayani, Irni; Editha Putri, Sabrina; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth , Damayanti
Eduvest - Journal of Universal Studies Vol. 5 No. 12 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i12.52446

Abstract

In Indonesia's e-Government, knowledge management is one of mandatory indicators that must be implemented at both the central and local government levels. Unfortunately, the use of knowledge management in Indonesia's local government is still very lacking. This condition is reflected in the e-government management index score at the city level nationally in 2024, which only reached 2.03, categorized as sufficient. However, knowledge management is a crucial foundation for the development of public services and innovation in local government. The aim of this study is to identify the Critical Success Factors (CSF) for the implementation of knowledge management in the Pontianak City Government through survey and interview methods. Data analysis was conducted using Structural Equation Modeling-Partial Least Square, with knowledge management as the latent variable. The results of the study suggest that innovation, measurement, regulation and technology adoption have a significant positive impact on knowledge management implementation strategies in local government. Thes success factors are the used as guidelines for developing knowledge management strategies in the Pontianak City Government, and local government in general.
Identifying Key Components of Knowledge Management Strategy in Government: A Systematic Literature Review Putri, Sabrina Editha; Irmayani, Irni; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya
Journal of Business, Social and Technology Vol. 7 No. 1 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v7i1.579

Abstract

Background: Amid digital transformation and the demand for adaptive public governance, Knowledge Management (KM) has become a strategic asset for government agencies. Previous studies have examined individual KM success factors—such as leadership, organizational culture, or technology readiness—yet most remain fragmented, case-specific, and lack an integrated strategic framework tailored to public sector governance. Objective: This study aims to identify key components and effective strategies for implementing KM in government organizations through a Systematic Literature Review (SLR) using the PRISMA 2020 framework. Methods: A total of 600 articles were screened from five leading scientific databases, resulting in 20 eligible studies for in-depth analysis. The review addresses two questions: (1) What are the key components of KM in government. (2) What strategies effectively support KM implementation in the public sector. Results: KM success in government rests on two interrelated domains: KM Foundation (leadership, organizational culture, structure, readiness, and technological infrastructure) and KM Solution (knowledge capture, sharing, discovery processes, regulatory mechanisms, and user-friendly systems). Nine strategic implementation areas were identified, including transformational leadership, human capital development, technology integration, performance alignment, and regulatory strengthening. Unlike prior studies that examined KM components separately, this research integrates fragmented findings into a structured and strategic framework combining foundational and operational dimensions. The study contributes theoretically by conceptualizing KM as a strategic governance capability and practically by offering policy-relevant guidance for strengthening adaptive, collaborative, and knowledge-driven public sector reform. Conclusion: An integrated and strategically aligned KM approach is essential for sustainable and effective public governance.
Explainable Ensemble Learning for Transparent and Efficient Zakat Scholarship Selection Jasir, Khalid; Safitri, Nadya; Lusa, Sofian; Sensuse, Dana Indra
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52639

Abstract

Education financial assistance funded by Zakat, Infaq, and Waqf holds significant potential to support sustainable higher education. Islamic Trust Fund Ar-Raniry faces challenges in the scholarship selection process due to manual processing. This condition leads to operational inefficiency and raises concerns of subjectivity due to a lack of transparency in rejection or acceptance decisions. This study aimed to improve efficiency, objectivity, and transparency of the selection process with a Decision Support System. The study conducted a Decision-Oriented Diagnosis and Feasibility Study to understand the decision-making process. The design of a Decision Support System employed Unified Modeling Language. A prototype created using Low-code/No-code development tools following the Rapid Application Development methodology, while model development adhered to the Cross-Industry Standard Process for Data Mining. The best classification model is a Soft Voting Ensemble of Naïve Bayes, K-Nearest Neighbors, and Support Vector Machine (SVM) with Synthetic Minority Oversampling Technique (SMOTE). The model achieved an Accuracy of 75.63%, a Macro Precision of 72.80%, Minority Class Precision of 65.96%, Macro Recall of 71.16%, Minority Class Recall of 57.41%, F1-score of 71.79%, and AUC ROC of 69.57% in Holdout Testing. Local Interpretable Model-Agnostic Explanation explained the classification results. The main factor affecting classification for the Accepted class is the Fee Level. The implementation resulted in integrated data and automated business processes. Thereby supporting the acceleration of an efficient, objective, and transparent selection process. An implementation strategy was formulated, including parallel conversion, computer-based training, and system support and maintenance.
Co-Authors Ainur Rofieq Altino, Iqbal Caraka Andani, Monica Ratna Anditama, Muhammad Rizky Andriansyah, Chandra Ardiansyah, Andri Atikasari, Atikasari Baskoro, Aji Dana Indra Sensuse Dwi, Ervina Editha Putri, Sabrina Efendi, Nofriza Elisabeth , Damayanti Elisabeth, Damayanti Estuhono, Estuhono Fahri , Muhammad Fatrani, Baiq Nuinsa Sohi Fauzi, Asri Febianingsih, Rahmiana Firdaus, Ahmad Yusuf Fitriya, Ghina Hamid, Ricky Bahari Handika, Septa Hanifah Imam Farisi Indra, Muhammad Nadhirsyah Irmayani, Irni Jallow , Fatoumatta Binta Jasir, Khalid Karma, I Nyoman Larasati, Nurul Aulia Lusa, Sofian Muis, Saludin Nazah, Vina Zahrotun Novitasari, Nine Febrie Nugroho, Agung Oktaviana, Putri Pratiwi, Maharani Eka Putri, Sabrina Editha Rachman, Alif Fatahilla Rahmat Hidayat Ramadhan , Laila Najilatur Ramadhan, Yudistira Rita Wahyuni Arifin, Rita Wahyuni Rizki Kurniawan, Rizki Rizky, Fajar Rohmah, Dilawatur Rully Pramudita Shafirawati, Fitri Sihombing , Boy Sandi Kritian Siti Romlah Sulastri, Eva Sunita Dasman Syaputra, Arryal Tripuspa, Karunia Wirawan, Devitha Octaviana Yenti, Linda Yusri, Diah Laili Zakhrah, Siti Zy, Ahmad Turmudi