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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer JOIN (Jurnal Online Informatika) International Journal of Artificial Intelligence Research Technomedia Journal Journal of Education Technology Aptisi Transactions on Management JTP - Jurnal Teknologi Pendidikan Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Artificial Intelligence (ITALIC)
Santoso, Nuke Puji Lestari
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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The Application of Artificial Intelligence in HR Recruitment Strategies Impacts Startupreneur Buying Interest: Penerapan Kecerdasan Buatan dalam Strategi Rekrutmen SDM Berdampak pada Minat Beli Startupreneur Santoso, Nuke Puji Lestari; Hardini, Marviola; Farail, Maulana Faqih; Fitriani, Anandha; Vaher, Kristina
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1233

Abstract

The development of Artificial Intelligence (AI) in Human Resource Management (HRM) provides an opportunity to increase efficiency and effectiveness in the recruitment process in the modern business era. In this context, AI supports the achievement of the Sustainable Development Goals (SDGs), especially goal 8, namely decent work and economic growth, and goal 10 on reducing inequal ity. AI allows companies to optimize the candidate selection process by using sophisticated algorithms that can analyze large amounts of data to find the most suitable candidates for the organization needs. Thus, AI plays an important role in creating a faster, more accurate, and bias-free recruitment process, which ultimately improves the quality of the workforce. However, the application of AI in recruitment also faces challenges related to technology integration, personal data protection, and potential bias in algorithmic decision-making. This study examines the role of AI in optimizing the recruitment process and its contribution to achieving the SDGs. The study also evaluates the impact of AI on recruitment decisions and company productivity and provides recommendations for more effective implementation in modern business.
Transformation of Indonesian Language in Social Media Using AI Expert Systems and Machine Learning Santoso, Nuke Puji Lestari; Rawat, Bhupesh; Ratri, Sanda Ramadhan; Danang, Danang; Kumoro, Dwi Ferdiyatmoko Cahya; Supriati, Ruli; Natalia, Elisa Ananda
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.806

Abstract

This study explores the transformation of the Indonesian language on social media platforms by integrating advanced artificial intelligence techniques, including expert systems and machine learning algorithms. The rapid evolution of communication on platforms such as TikTok, Twitter, and Instagram has led to a dynamic shift in language use, characterized by increased creativity in slang, abbreviations, and code-mixing, alongside challenges in maintaining compliance with standard language norms. By applying intelligent systems capable of analyzing large volumes of social media data, this research aims to identify patterns of linguistic innovation and deviations from conventional language rules. The expert system framework supports automated detection and classification of language variations, while machine learning models enhance the accuracy and adaptability of language analysis over time. Findings indicate that AI-driven approaches can effectively balance the dual needs of fostering linguistic creativity and preserving language standards, providing valuable insights for language educators, policymakers, and digital content developers. The study underscores the potential of intelligent technologies to facilitate language monitoring and support efforts in maintaining the cultural identity of the Indonesian language amid the fast-paced digital communication landscape.
Laser Personalization and Digital Marketing on Gen Z Souvenir Purchase Intention Santoso, Nuke Puji Lestari; Aini, Qurotul; Rahmadani, Rizki Galang; Wahid, Syahrul Mu'Arif
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1276

Abstract

Optimizing digital business strategies for creative souvenir products using Mini Laser Packer technology aims to cater to the unique preferences of Gen Z. While previous studies have explored laser customization in traditional industries and digital marketing for Gen Z separately, a gap exists in understanding their spe- cific intersection within the creative souvenir sector. This paper addresses this gap by examining the adoption of Mini Laser Packer technology to meet Gen Z’s demand for personalized products through targeted digital marketing strate- gies, thus offering a novel perspective on value creation in this niche market. The research takes a quantitative approach, utilizing pre-test and post-test ex- perimental methods alongside regression analysis to evaluate changes in product quality and consumer response. Data were collected through surveys with Gen Z consumers, interviews with business owners, and direct observations. Find- ings show that the adoption of Mini Laser Packer significantly enhances product quality, particularly through more attractive, customizable designs that appeal to consumer preferences. Digital marketing strategies on social media and e- commerce platforms have proven effective in engaging Gen Z consumers with personalized offerings. Despite positive impacts, challenges remain, such as high technology investment costs and limitations in digital marketing utiliza- tion. Businesses are encouraged to leverage these insights to strengthen prod- uct competitiveness and deepen consumer relationships by offering personalized products on digital platforms favored by Gen Z.
iLearning Model Approach in Creating Blockchain Based Higher Education Trust Anwar, Aang Solahudin; Rahardja, Untung; Prawiyogi, Anggy Giri; Santoso, Nuke Puji Lestari; maulana, sabda
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.269 KB) | DOI: 10.29099/ijair.v6i1.258

Abstract

Today, higher education presents challenges in terms of educational and industrial collaboration. Both theoretical and practical, formal and informal are also part of the application of blockchain in education. Moreover, the assessment is still quite difficult to do to measure the skill level of students so that they can compete for jobs in the future With the problem of the academic curriculum that still uses writing media on paper, problems often arise regarding the validity of reliable document validation. So it is necessary to compare the knowledge obtained to match their abilities. From these problems, the goal was created to improve the higher education curriculum in order to find a revolutionary solution for document validation beliefs.  Evaluation of the iLearning learning system combined with blockchain technology (ledger) has the benefit of being able to support these problems.  By using Blockchain technology, a new learning model innovation is created in the form of the SCi-B (Student-Centered iLearning Blockchain) framework. SCi-B is a new innovation in the learning model where all activities use Blockchain so that its existence is able to manage and store all transactions, competencies, and teaching that can provide intensive assessments through digital certificates for the academic world and the world of work. So that SCi-B has a significant impact on the confidence in the results that have been obtained.  This paper aims to answer the challenges of the world of education which is currently getting wider, more open, and everywhere. The model in the SCi-B framework of this paper can be used for all training institutions because this model can adapt to the specific professional needs of the job sector. This model has been validated by the existence of a web application whose use is very satisfying.
Covid-19: Implementation e-voting Blockchain Concept Kamil, Mustofa; Bist, Ankur Singh; Rahardja, Untung; Santoso, Nuke Puji Lestari; Iqbal, Muhammad
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (568.049 KB) | DOI: 10.29099/ijair.v5i1.173

Abstract

The current situation of the Covid-19 pandemic is currently increasing public concern about the community. The government has especially recommended Stay at Home and the implementation of PSBB in various regions. One of the concerns is when the election of regional leaders to the general chairman. Even though there is already a safeguard regulation, this is not considered safe in the current Covid-19 pandemic. The solution in this research is the use of a blockchain-based E-voting system to help tackle election unrest during Covid-19. Where e-voting with blockchain technology can be carried out anywhere through the device without the need to be present in the voting booth, reducing data fraud, accurate and decentralized voting results that can be accessed by the public in real-time. The use of cryptographic protocols is applied for data transfer between system components as well as valid system security. This research method uses SUS trial analysis in a significant system of the Covid-19 pandemic situation. The implication that the SUS Score analysis shows 90 shows an acceptable E-voting system, meaning that the community can accept it because it brings positive and significant impacts such as effectiveness and efficiency.
Skema Kredibilitas Sertifikat Berbasis Ilearning Gamifikasi Blockchain pada Kampus Merdeka Aini, Qurotul; Azizah, Nur; Salam, Rahmat; Santoso, Nuke Puji Lestari; Oganda, Fitra Putri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 1: Februari 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106164

Abstract

Pembelajaran luring menjadi daring karena COVID-19 telah membawa gangguan signifikan pada pendidikan di Indonesia. Situasi pandemi menjadi tantangan tersendiri bagi kreativitas Dosen Pendamping Merdeka Belajar Kampus Merdeka (Duta MBKM), mahasiswa, maupun Perguruan Tinggi dalam menggunakan teknologi untuk menciptakan keunggulan kompetitif bangsa secara global. Sehingga berdampak juga pada sertifikasi pembelajaran guna standarisasi kehandalan serta memiliki kompetensi mahasiswa MBKM. Namun, saat ini keamanan dalam sertifikat masih sangat rentan, dan banyak pihak yang menyalahgunakan terhadap akses kredibilitas. Kini teknologi Blockchain menjadi jawaban setiap masalah keamanan karena penyimpanan secara permanen dan peer-to-peer dalam jaringan terdistribusi serta keamanan yang signifikan. Tujuan utama penelitian ini adalah menerapkan teknologi Blockchain untuk meningkatkan kredibilitas sertifikasi autentikasi menggunakan beberapa teknologi enkripsi dan distribusi data terdesentralisasi untuk penyimpanan data menggunakan SHA256 yaitu penggunaan kriptografis yang dipakai dalam Blockchain. Metode penelitian ini menggunakan metode SDLC (System Development Life Cycle) dengan membangun sistem, pengumpulan informasi dibuat melalui observasi serta kuesioner memakai Google Form. Bersumber pada ciri sistem, aspek kepuasan sistem dianalisis memakai rumus Slovin yang diolah dengan hasil 0,795 > 0,6 berarti jika alpha > 0,6 maka sistem dapat diklasifikasikan sebagai “reliabel”. Hasil akhir penelitian yang menjadi temuan penelitian ini untuk membangun normalitas baru dalam mensukseskan pelaksanaan MBKM dan mewujudkan ekosistem jam kegiatan mahasiswa yang interaktif, mengasah soft skill serta membangun cara berpikir kritis dengan mengusung model pembelajaran iLearning berbasis teknik gamifikasi Blockchain (iLearning Gamichain). AbstractCaptivating learning becomes bold as COVID-19 has brought significant disruption to education in Indonesia. The pandemic has become a challenge for the creativity of Independent Lecturers to Learn Independent Campus (MBKM Ambassadors), students, and universities to use technology to create the nation's competitive advantage globally. So that it impacts learning certification to standardize reliability and have the competence of MBKM students. However, currently, the security in the certificate is still very vulnerable, and many parties abuse it to access. Blockchain technology is the answer to every security problem because of the permanent and peer-to-peer storage in a distributed network and significant security. The primary purpose of this research is to apply Blockchain technology to increase the use of several encryption technologies authentication and decentralized data distribution for SHA256 data storage, namely the use of cryptography used in Blockchain. This research method uses the SDLC (System Development Life Cycle) method by building a system, and information collection is made through observation and questionnaires using Google Form. Based on the system's characteristics, the analysis system's satisfaction aspect uses the Slovin formula, which is processed with 0.795 > 0.6, meaning if alpha > 0.6, then the system is classified as "reliable." The final result of this research is to build new normality in the successful implementation of MBKM and create an ecosystem of interactive student activity hours, hone soft skills, and build critical thinking by carrying out the iLearning learning model based on Blockchain gamification techniques (iLearning Gamichain). 
Embedding a Blockchain Technology Pattern Into the QR Code for an Authentication Certificate Aini, Qurotul; Rahardja, Untung; Tangkaw, Melani Rapina; Santoso, Nuke Puji Lestari; Khoirunisa, Alfiah
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.583

Abstract

In the disruptive 4.0 era that emphasizes technological sophistication, blockchain is present as a technology that increasingly influences human life, helping humans in all aspects, including education. The role of blockchain technology in the world of education is to test the validity of diplomas, the increasing number of fake diplomas for an interest, both for work and continuing education to a higher level. The purpose of this research with the implementation of blockchain is expected to make it easier for users to verify the authenticity of a diploma. This study uses the SWOT analysis method to identify all possibilities that exist in blockchain technology. The final result of this research, the system will print a physical certificate in the form of paper in general, then the certificate will be printed a QR code. To verify numeric code on QR Code via scanning on smartphone or QR Reader. It is hoped that the blockchain technology applied to digital assets can reduce cases of forgery of diplomas and other important documents.
Management Measurement Scale As A Reference To Determine Interval In A Variable Aini, Qurotul; Zuliana, Siti Ria; Santoso, Nuke Puji Lestari
APTISI Transactions on Management (ATM) Vol 2 No 1 (2018): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.948 KB) | DOI: 10.33050/atm.v2i1.775

Abstract

The scale is usually used to check and determine the value of a qualitative factor in quantitative measures. The measurement scale is a management in agreement that is used as a reference to determine the short length of the interval that is in the measuring instrument, so that the measuring instrument when used in measurements will produce quantitative data. The results of the scale management calculation must be interpreted carefully because in addition to producing a rough picture, the respondent's answers are not just straightforward to be trusted. Types of measurement scales: Likert scale, Guttman scale, semantic differential scale, rating scale, Thurstone scale, Borgadus scale, and various other measurement management scales. One of the most difficult jobs for information technology researchers faced with the necessity of measuring variables is: finding directions in the midst of many existing sizes. If there is a good size for a particular variable, it seems that there are not many reasons to compile a new size yourself. Keywords: Scale, Measurement, Variables.
Implementation of the YII Framework-Based Job Training Assessment System Andayani, Dwi; Santoso, Nuke Puji Lestari; Khoirunisa, Alfiah; Pangaribuan, Kelvin
APTISI Transactions on Management (ATM) Vol 5 No 1 (2021): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i1.1231

Abstract

The current significant progress has been experienced by the publication of Information media, one of which is the scoring system. In measuring the ability of students or students in learning outcomes during the learning process assessment system is very important in an educational institution both high school and college. Universitas Raharja is one of the educational institutions that have implemented the assessment system (PEN +) online, which provides services to the lecturers of the University of Raharja in the input of the value that can be accessed anywhere and Anytime. However, nowadays for the process of the input of the value of work lecture (CTF) that has been run by students is still done manually or not computerized because lecturers still have to come to the campus to fill out a list of student value lists Submitted to the RPU. This is very inefficient, because in the assessment system PEN + lecturers have not been able to input the value of work lecture (KKP) in real time. Therefore, there is a need for development in the Coursework Assessment System (CTF) where the value of the input form is Grade. In this study there were 10 (ten) literature studies on the assessment. Thus there are 2 (two) advantages that the lecturer does not need to come to the campus to fill the form that is then handed over to the RPU and notifications for a list of values that students receive will be faster.
Blockchain For Education Purpose: Essential Topology Aini, Qurotul; Lutfiani, Ninda; Santoso, Nuke Puji Lestari; Sulistiawati, Sulistiawati; Astriyani, Erna
APTISI Transactions on Management (ATM) Vol 5 No 2 (2021): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i2.1506

Abstract

Blockchain technology is known for its large-scale digitisation trends that play an important role in various organisations. Because it is distributed and decentralized from blockchain, this feature makes the role of blockchain technologies based on products and services significantly different from previous technology offerings. The value proposition offered by this blockchain is very suitable to be applied in education. After a few years this caused disruption from various industry circles, current educational areas including those that are very perceived by the Indonesian people there is no progress and road in place. It is possible that in the next ten years, the educational actors who are less sensitive will one by one fall because of the storm-cast disruption technology. The educational institution is one of which is aware of the advantages and extraordinary potential of blockchain technology. Among other things, a digital signature certificate is important in the context of digital archiving to verify the authenticity of a document in an educational institution. But the lack of education from the community makes ignorance about the point of the advantage of blockchain technology that can be applied in the field of education. Therefore, a public understanding of the blockchain is packaged in the form of ontology on the education shutter. This research in particular is exploring the ontology approach of using root merkle methods in providing solutions to the application of blockchain, including slow process and small storage space. This issue causes it to be very difficult for educational institutions to store processes and stages of learning into the blockchain. This research can be the cornerstone of identifying solutions from certificates of digital signatures in terms of archiving, authentication and digital verification on the design of a new breakthrough framework with an ontology approach to blockchain educational design.
Co-Authors Abbas, Maulana Afiyanto, Rafid Anggy Giri Prawiyogi Anwar, Aang Solahudin Apriliasari, Dwi Astriyani, Erna Astuti, Eka Dian Bennet, Daniel Bist, Ankur Singh Danang, Danang Danny Manongga Desy Apriani Dwi Andayani, Dwi Eko Sediyono Elmanda, Vonda Farail, Maulana Faqih Faturahman, Adam Fitra Putri Oganda Fitriani, Anandha Friandi, Sendy Zul Harahap, Eka Purnama Irwan Sembiring Juniar, Hega Lutfilah Juniar Kamal, Abdullah Arif Khoirunisa, Alfiah Kumoro, Dwi Ferdiyatmoko Cahya Marviola Hardini Maulana, Sabda Millah, Shofiyul Muhammad Iqbal Mulyati Mustofa Kamil, Mustofa Mustofa, Kenny Ilyas Natalia, Elisa Ananda Ninda Lutfiani Nur Azizah Nurmala, Risma Pangaribuan, Kelvin Po Abas Sunarya Qurotul Aini Ratri, Sanda Ramadhan Rawat, Bhupesh Rizki Galang Rahmadani Ruli Supriati, Ruli Salam, Rahmat Sandy Kosasi siti Nurindah Sari Siti Ria Zuliana, Siti Ria Sri Yulianto Joko Prasetyo Sulistiawati Sulistiawati Suryari Purnama Tangkaw, Melani Rapina Untung Rahardja Vaher, Kristina Wahid, Syahrul Mu'Arif Xolani, Zanele