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All Journal JURTEKSI BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Journal Of Indonesian Social Society Management of Information System Journal
Nasrun Marpaung
Universitas Royal
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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UI/UX Design: Digital Learning Platform Berbasis Minimum Viable Product (MVP) dan Design Thinking Edi Kurniawan; Nasrun Marpaung; Rohminatin Rohminatin; Nurul Rahmadani; Arya Armando Panjaitan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akun
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp84-89

Abstract

In the digital era, digital learning platforms have become an essential tool in the educational process. However, the success of a platform is not only determined by the availability of content but also by a satisfying user experience. To achieve this, developers often adopt the Minimum Viable Product (MVP) strategy, which allows them to release a product with minimal features to quickly obtain user feedback. Meanwhile, the Design Thinking approach provides a framework for deeply understanding user needs. This paper combines these two approaches to designing the UI/UX for the digital learning platform "Mentor on Demand", focusing on an optimized user experience where the usability testing results are obtained with scores for Students = 6 and Mentors = 5.9 both getting Pass Results.
WEB-BASED ELEMENTARY SCHOOL SELECTION DECISION SUPPORT SYSTEM USING A COMBINATION OF SMART AND TOPSIS METHODS Dewi Maharani; Nasrun Marpaung
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 3 (2026): Juni 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i3.4693

Abstract

Abstract: Choosing the right elementary school is a crucial milestone for a child's future. However, the large number of school options in Asahan Regency with diverse criteria such as accreditation, facilities, fees, curriculum, and accessibility often makes it difficult for parents. Decision-making tends to be based on subjective word-of-mouth recommendations, which risks triggering bias. This research aims to develop an adaptive and objective web-based elementary school selection Decision Support System (DSS) framework to minimize such bias. The system is designed using a hybrid model that combines the Simple Multi-Attribute Rating Technique (SMART) method as a dynamic criteria weighting engine based on parents' preferences, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank ten alternative schools. System testing was conducted through black-box testing functionality and empirical accuracy testing using Spearman Rank Correlation involving 40 respondents. The black-box testing results confirmed that all main system operations ran perfectly with a 100% success rate. Validity testing demonstrated very high accuracy, with a Spearman correlation coefficient of 0.89, demonstrating significant alignment between the system's recommendations and actual choices on the ground. Thus, the SMART-TOPSIS framework has proven reliable as a data-driven approach to helping parents choose the best elementary school. Keywords: decision support system; elementary school; SMART; TOPSIS Abstrak: Memilih sekolah dasar yang tepat merupakan tonggak awal krusial bagi masa depan anak. Namun, banyaknya pilihan sekolah di Kabupaten Asahan dengan keberagaman kriteria seperti akreditasi, fasilitas, biaya, kurikulum, dan aksesibilitas sering kali menyulitkan orang tua. Pengambilan keputusan pun cenderung didasarkan pada rekomendasi subjektif dari mulut ke mulut, yang berisiko memicu bias. Penelitian ini bertujuan mengembangkan kerangka kerja Sistem Pendukung Keputusan (SPK) pemilihan sekolah dasar berbasis web yang adaptif dan objektif guna meminimalkan bias tersebut. Sistem dirancang menggunakan model hibrida yang mengombinasikan metode *Simple Multi-Attribute Rating Technique* (SMART) sebagai mesin pembobotan kriteria dinamis sesuai preferensi orang tua, serta metode *Technique for Order of Preference by Similarity to Ideal Solution* (TOPSIS) untuk memeringkat sepuluh sekolah alternatif. Pengujian sistem dilakukan melalui uji fungsionalitas *black-box testing* dan uji akurasi empiris menggunakan Korelasi Peringkat Spearman dengan melibatkan 40 responden. Hasil *black-box testing* mengonfirmasi seluruh operasi utama sistem berjalan sempurna dengan tingkat keberhasilan 100%. Uji validitas menunjukkan akurasi sangat tinggi dengan koefisien korelasi Spearman sebesar 0,89, membuktikan keselarasan signifikan antara rekomendasi sistem dan pilihan nyata di lapangan. Dengan demikian, kerangka SMART-TOPSIS ini terbukti andal sebagai pendekatan berbasis data untuk membantu orang tua memilih sekolah dasar terbaik. Kata kunci: sekolah dasar; sistem pendukung keputusan; SMART; TOPSIS
Pemanfaatan Artificial Intelligence (AI) dalam Dunia Pendidikan untuk Meningkatkan Kreativitas Guru SD Brainfor Islamic School Nasrun Marpaung; Akmal Nasution; Edi Kurniawan; Mardalius Mardalius
Journal Of Indonesian Social Society (JISS) Vol. 4 No. 2 (2026): JISS - Juni
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jiss.v4i2.723

Abstract

Perkembangan teknologi kecerdasan buatan atau Artificial Intelligence (AI) telah memberikan dampak transformasi yang masif di berbagai sektor, termasuk pendidikan. Guru dituntut untuk beradaptasi dengan alat digital guna menciptakan suasana belajar interaktif bagi siswa generasi Z dan Alpha. Pengabdian kepada Masyarakat (PkM) ini bertujuan memberikan solusi atas keterbatasan literasi digital guru di SD Brainfor Islamic School melalui pelatihan intensif pemanfaatan Generative AI. Fokus kegiatan meliputi penggunaan AI Teks (ChatGPT, Notion AI) untuk administrasi, serta AI Multimodal (Gemini AI, Canva AI, Suno AI) untuk pembuatan RPP, ilustrasi kelas, dan musik edukatif. Metode pelaksanaan menggunakan pendekatan Participatory Action Learning System (PALS) yang terdiri dari tahap sosialisasi, pelatihan hands-on, dan evaluasi. Hasil kegiatan menunjukkan lonjakan rata-rata pemahaman peserta dari 35% pada tahap pre-test menjadi 88% pada tahap post-test. Seluruh peserta berhasil menghemat 50% waktu penyusunan administrasi dan menghasilkan minimal satu produk media pembelajaran interaktif secara mandiri. Pemanfaatan AI terbukti mereduksi kebosanan belajar siswa dan sangat membantu guru berinovasi.    The development of Artificial Intelligence (AI) technology has brought massive transformation in various sectors, including education. Teachers are required to adapt to digital tools to create interactive learning environments for Generation Z and Alpha students. This Community Service (PkM) aims to provide a solution to the limited digital literacy of teachers at SD Brainfor Islamic School through intensive training on Generative AI. The focus includes the use of Text AI (ChatGPT, Notion AI) for administration, and Multimodal AI (Gemini AI, Canva AI, Suno AI) for creating lesson plans, class illustrations, and educational music. The implementation method uses the Participatory Action Learning System (PALS) approach consisting of socialization, hands-on training, and evaluation stages. The results showed a surge in participants' average understanding from 35% in the pre-test to 88% in the post-test. All participants successfully saved 50% of their administration time and independently produced at least one interactive learning media product. The use of AI is proven to reduce student boredom and greatly helps teachers innovate.
Pemilihan Kafe Terbaik Menggunakan Metode Cocoso Dan Perbandingan Moora Agus Nugraha; Lia Umbari Putri; Nasrun Marpaung
Management of Information System Journal Vol 4 No 1: November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i1.2547

Abstract

Choosing the best cafes in the range is a complex challenge considering a variety of criteria to be considered such as location, design, food and beverage quality, service, price, and facilities. To deal with this problem, two methods in the decision support system (SPK) are used, namely the CoCoSo method (Combined Compromise Solution) and Moora comparison (Multi-Objective Optimization on the basis of Ratio Analysis). In this study, the criteria used include location, design, food and beverage quality, service, price, and facilities. Each criterion is evaluated and weighed to determine the best alternative of the ten previously selected cafes. The process of normalization and criteria weighting is carried out to produce a final score that reflects the performance of each alternative based on the criteria that have been defined. The results of these two methods are compared to determine the best coffee in the range based on the criteria that have been established. This study shows that the use of CoCoSo and Moora methods provides reliable results in complex decision-making processes. In addition, this method can be widely applied in a variety of other fields to support better and informational decision-making.
Model CRM Adaptif untuk Usaha Konter HP Skala Mikro di NUCA CELL Laila Ramadhani Sitorus; Novica Irawati; Nasrun Marpaung
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September (In Progress)
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.241

Abstract

Micro enterprises play a strategic role in the Indonesian economy due to their sheer numbers and significant contributions to GDP and employment. This study aims to design and develop an adaptive Customer Relationship Management (CRM) model tailored to the specific characteristics, needs, and constraints of NUCA CELL a micro-scale mobile phone shop thereby enabling more effective, efficient, and sustainable customer relationship management. A descriptive qualitative approach utilizing a case study design was employed for this research. This approach was selected to facilitate an in-depth understanding of existing customer relationship management practices at NUCA CELL and to develop a CRM model adaptable to the realities of micro-enterprises. The study demonstrates that the designed adaptive CRM model successfully provides a more effective solution for managing customer relationships at NUCA CELL. The developed web-based system integrates customer data, transaction history, and product catalogs into a centralized database, resulting in a more structured, accurate, and efficient information management process compared to the previous manual record-keeping method. Furthermore, the implementation of features such as ratings, comments, and automated loyalty point calculations allows NUCA CELL to gather customer feedback systematically, leading to a better understanding of customer needs and satisfaction levels without relying solely on direct communication.
Penerapan Fitur PBL E-CRM untuk Meningkatkan User Engagement di Aditya Kursus Putri Oktaviya Siregar; Nasrun Marpaung; Cecep Maulana
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September (In Progress)
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.242

Abstract

Advancements in information technology have driven the adoption of digital systems across various sectors including non-formal education to support service management and participant relations. This study aims to design and develop a web-based Electronic Customer Relationship Management (E-CRM) system for Aditya Kursus, capable of integrating participant management and service delivery in a more structured manner. A qualitative approach was employed, utilizing data collection methods such as observation, interviews, and literature reviews, while analysis involved interpreting information from diverse sources to determine system requirements and design specifications. The developed system integrates various activities, including participant registration, program and class management, scheduling, assignments, quizzes, attendance tracking, assessment, payment processing, and information dissemination based on user access rights. Additionally, the system incorporates gamification features specifically Points, Badges, and Leaderboards (PBL) where Points are awarded for participant activities, Badges for specific achievements, and Leaderboards based on accumulated Points. The PBL mechanism is designed to provide recognition, feedback, and progress updates, thereby encouraging participants to interact more actively with the system. Black Box Testing demonstrated that the E-CRM's core functions and the PBL mechanism operate according to the designed scenarios. However, this study did not conduct a quantitative user evaluation to measure changes in user engagement. Consequently, the findings indicate that the E-CRM and PBL were successfully implemented to support service management and participant activities, although the effectiveness of PBL in measurably enhancing user engagement requires further evaluation.
Co-Authors Agus Nugraha Akmal Nasution Arya Armando Panjaitan Cecep Maulana Dewi Maharani Edi Kurniawan Laila Ramadhani Sitorus Lia Umbari Putri Mardalius Mardalius Novica Irawati Nurul Rahmadani Putri Oktaviya Siregar Rohminatin Rohminatin