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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal Amerta Nutrition Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Journal of Social Science Jurnal Teknik Informatika (JUTIF) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Jurnal Abmas Negeri (JAGRI) Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Green Intelligent Systems and Applications Jurnal Algoritma Journal of Social Science IWJ : Inland Waterways Journal Information Technology International Journal (ITIJ) The Indonesian Journal of Computer Science Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat
Nouval Trezandy Lapatta
Universitas Tadulako
Religion Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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RANCANG BANGUN SISTEM MANAJEMEN PEMBELAJARAN ASEAN CENTRE FOR ENERGY MENGGUNAKAN METODE EXTREME PROGRAMMING Faldiansyah, Faldiansyah; Laila, Rahmah; Syahrullah, Syahrullah; Lapatta, Nouval Trezandy; Pratama, Septiano Anggun
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6377

Abstract

ASEAN Centre for Energy (ACE) adalah lembaga antar-pemerintah yang mewakili 10 negara ASEAN dalam sektor energi. ACE berperan penting dalam merancang kebijakan kawasan energi untuk mendukung pertumbuhan ekonomi berkelanjutan dan menjaga lingkungan. Meskipun menyediakan sumber daya dan sertifikasi internasional, ACE belum memiliki sistem yang efektif untuk mengelola pembelajaran dan sertifikasi. Untuk mengatasi hal tersebut ACE berupaya mengembangkan sebuah platform Learning Management System (LMS) untuk mendukung pembelajaran dan sertifikasi dalam sektor energi di kawasan ASEAN. Penelitian ini menggunakan metode Extreme Programming (XP) yang melibatkan tahapan perencanaan, perancangan wireframe dan Entity Relationship Diagram (ERD), pengkodean dengan teknologi seperti Next.js, PostgreSQL, Django, dan Node.js, serta pengujian dengan metode Blackbox Testing dan User Acceptance Testing (UAT). Hasil penelitian menunjukkan bahwa platform LMS yang dikembangkan memenuhi ekspektasi pengguna dengan tingkat kepuasan mencapai 92,43%. Integrasi PayPal sebagai payment gateway telah memberikan kontribusi signifikan terhadap keamanan dan kemudahan transaksi keuangan, memungkinkan pembayaran lintas negara dengan efisien dan aman. Platform ini tidak hanya memfasilitasi akses ke materi pembelajaran dan kursus sertifikasi, tetapi juga mendukung interaksi antar siswa dan menyediakan informasi terbaru mengenai acara yang diselenggarakan oleh ACE. Diharapkan dengan sistem ini ACE lebih efektif dalam mendukung pengembangan kompetensi di sektor energi serta memperkuat kolaborasi regional di kawasan ASEAN.
Interaksi Augmented Reality Menggunakan Boxcollider Dalam Aplikasi Pembelajaran Bahasa Inggris Zulkifli, Zulkifli; Joefrie, Yuri Yudhaswana; Nugraha, Deny Wiria; Lapatta, Nouval Trezandy; Syahrullah, Syahrullah; Angreni, Dwi Shinta
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6248

Abstract

Teknologi Augmented Reality (AR) telah menjadi salah satu inovasi terdepan dalam meningkatkan pengalaman belajar interaktif. Penelitian ini mengkaji penggunaan AR dalam aplikasi pengenalan bahasa Inggris dengan memanfaatkan fitur BoxCollider untuk interaksi pengguna. Ap-likasi ini dirancang untuk membantu pengguna, terutama pelajar, dalam mengenali dan memahami kosakata bahasa Inggris melalui pengalaman visual dan interaktif. BoxCollider digunakan untuk mendeteksi interaksi antara pengguna dan objek virtual yang ditampilkan di layar, memung-kinkan respons langsung terhadap tindakan pengguna seperti menyentuh atau menggerakkan objek. Hasil penelitian menunjukkan bahwa penggunaan BoxCollider dalam AR meningkatkan keterlibatan pengguna dan memudahkan proses belajar. Pengguna dapat berinteraksi dengan berbagai objek yang mewakili kata-kata bahasa Inggris, sehingga mem-berikan konteks visual yang kuat dan mendukung pemahaman kosakata secara lebih efektif. Aplikasi ini diharapkan dapat menjadi alat bantu yang efektif dalam pengajaran bahasa Inggris, menawarkan metode bela-jar yang lebih menarik dan interaktif dibandingkan dengan metode kon-vensional
Recency, Frequency, and Monetary-Based Customer Segmentation Using K-Means for Analysing Transactional Behaviour in a Service-Based Micro, Small, and Medium Enterprises Rizka Ardiansyah; Nouval Trezandy; Iskandar skandar; Meilani Ilman; Sahril Sahril
Green Intelligent Systems and Applications Volume 6 - Issue 1 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v6i1.919

Abstract

Micro, Small, and Medium Enterprises (MSMEs) often faced challenges in designing effective promotional initiatives due to the limited use of systematic customer behavior analysis. This study examined the application of (Recency, Frequency, Monetary) RFM analysis combined with K-Means clustering to explore customer segmentation in a service-based MSME context. Transaction data from a local laundry service operating in Palu, Indonesia, consisting of 2,220 digital transaction records collected between 2022 and 2025, were processed and transformed into RFM variables using min–max normalization. The optimal number of clusters was determined using the Elbow method, resulting in four customer segments. Cluster quality was evaluated using internal validation metrics, yielding a Davies–Bouldin Index (DBI) of 0.61 and a Sum of Squared Errors (SSE) value of 1.73, indicating reasonably compact and well-separated clusters. The resulting segments exhibited distinct transactional profiles across recency, transaction frequency, and monetary contribution, reflecting heterogeneity in customer engagement within the studied MSME. Rather than prescribing specific marketing actions, the findings provided an interpretable analytical basis for considering differentiated promotional strategies aligned with observed customer behavior patterns. Overall, this study demonstrated that RFM-based segmentation offered a feasible and data-driven approach to supporting evidence-informed promotional planning in service-oriented MSMEs operating under data and resource constraints.
Optimalisasi Pemasaran Digital Adaptif Untuk Mendorong Keberlanjutan E-Commerce di Era Transformasi Digital Muhammad Zaidan; Nouval Trezandy Lapatta; Laura Paige Pasha
ADI Pengabdian Kepada Masyarakat Vol 5 No 1 (2024): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i1.1142

Abstract

Pertumbuhan populasi dan urbanisasi yang pesat menghasilkan peningkatan volume limbah organik yang signifikan, yang jika tidak dikelola dengan baik, dapat menimbulkan dampak negatif terhadap lingkungan. Penelitian ini bertujuan untuk menganalisis efektivitas pemanfaatan limbah organik sebagai sumber daya terbarukan melalui pendekatan program edukasi masyarakat yang berkelanjutan. Metode penelitian menggunakan pendekatan kombinasi kualitatif dan kuantitatif, yang melibatkan survei, wawancara mendalam, dan observasi langsung terhadap komunitas sasaran di wilayah perkotaan. Hasil penelitian menunjukkan bahwa edukasi masyarakat mengenai pengolahan limbah organik menjadi energi terbarukan, seperti biogas dan kompos, mampu meningkatkan partisipasi masyarakat dalam pengelolaan lingkungan sekaligus menciptakan manfaat ekonomi lokal. Selain itu, program edukasi ini terbukti dapat memperkuat pemahaman masyarakat terhadap konsep ekonomi sirkular dan mendorong penerapan teknologi sederhana yang mendukung pemanfaatan energi terbarukan. Studi ini menawarkan inovasi dalam bentuk model edukasi yang tidak hanya berfokus pada aspek teknis, tetapi juga memperkuat aspek sosial dan ekonomi melalui keterlibatan aktif masyarakat dalam setiap tahapan pengelolaan limbah organik. Kontribusi penelitian ini mencakup pengembangan model edukasi yang holistik dan dapat direplikasi dalam konteks yang lebih luas, mendukung tujuan pembangunan berkelanjutan (SDGs) terkait energi bersih dan produksi berkelanjutan.
PERANCANGAN SISTEM REKOMENDASI LOWONGAN KERJA DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING (NLP) BERBASIS TF-IDF DAN WORD2VEC Ipham Ahmad Fahrezy Farid; Nouval Trezandy Lapatta
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7132

Abstract

The abundance of job vacancy information on various digital platforms often creates inefficiencies in the job search process because applicants must manually select job descriptions, while companies also experience difficulties in assessing applicant suitability quickly and objectively. This study develops a web-based job vacancy recommendation system with a Natural Language Processing (NLP) approach using the Term Frequency–Inverse Document Frequency (TF-IDF) and Word2Vec methods to represent applicant profiles and job descriptions, which are analyzed using cosine similarity. The system was developed using a prototyping method so that it can be iteratively adapted to user needs. Evaluation of the characteristics of the recommendation results was carried out exploratively through analysis of similarity scores and changes in job rankings in several test scenarios. Based on the test scenarios and descriptive analysis of similarity scores and ranking changes, TF-IDF tends to produce lower suitability scores when there are variations in terms, while Word2Vec provides relatively more stable scores due to its ability to represent the closeness of meaning between words. In addition, usability evaluation using the System Usability Scale (SUS) obtained an average score of 89.5 with an Excellent category, indicating that the system is easy to use and comfortable for users. This system is expected to help applicants find relevant vacancies and support a more systematic applicant screening process.
Development of an Indonesian Trade Forecasting Information System Based on Statistical Models and Gradient Boosting Muh. Ashari Rasyid; Nouval Trezandy Lapatta
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 2 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2586

Abstract

Current Indonesian trade forecasting relies on complex manual processes prone to inaccuracies. This study develops an Indonesian Trade Forecasting Information System integrating Statistical Models (SARIMA, Prophet) and Gradient Boosting (LightGBM, XGBoost, ExtraTrees). Using BPS data from 2012-2025, XGBoost achieves MAPE 18.64% for volatile exports while SARIMA records 7.37% for stable imports. TAM validation by 30 trade analysts shows high acceptance (PU=3.73, PEOU=3.82, BI=3.59). The system features interactive dashboards, secure authentication, and CSV/PDF exports, addressing national forecasting methodology gaps. Key contributions include dual-model integration for diverse trade patterns with user-friendly interfaces.
CLUSTERING OF E-WALLET USAGE BASED ON TRANSACTION PATTERNS USING K-MEANS Ayu Hernita; Nouval Trezandy Lapatta; Sabaruddin Saputra; Muhammad Akbar
Jurnal Pilar Nusa Mandiri Vol. 22 No. 1 (2026): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v22i1.8292

Abstract

The use of e-wallets has grown rapidly along with the increasing demand for fast and conven-ient digital financial transactions. This development requires service providers to better under-stand user behavior through transaction pattern analysis. This study aims to cluster e-wallet users based on their transaction patterns using the K-Means algorithm. The data analyzed in-clude several key variables, namely transaction frequency, transaction value, transaction type, and transaction time. The K-Means method is applied to group users with similar transaction characteristics through data normalization and optimal cluster determination. The results in-dicate that e-wallet users can be divided into several distinct segments with significantly dif-ferent transaction patterns. Each cluster represents specific user behavior characteristics, such as high-frequency users, high-value transactions, or time-based usage patterns. In conclusion, this study contributes to the growing body of research on digital payment analytics by demonstrating the applicability of the K-Means clustering algorithm for transaction-based user segmentation. The findings provide empirical evidence that behavioral transaction data can be systematically structured into meaningful user groups through unsupervised learning techniques. This research extends prior studies by integrating clustering evaluation methods to ensure optimal segmentation results, thereby offering a methodological reference for future studies in fintech data analysis.
Rancang Bangun Aplikasi Diagnosa Sexually Transmitted Diseases Menggunakan Algoritma Certainty Factor Mandra; Nouval Trezandy Lapatta; Syaiful Hendra; Syahrullah
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4293

Abstract

This research aims to design and develop an Android application that can be used to diagnose results Sexually Transmitted Diseases using algorithms Certainty Factor. Sexually Transmitted Diseases is a sexually transmitted disease that can cause serious health impacts if not immediately identified and treated appropriately. This application is designed to help users carry out initial diagnoses independently. The method used in developing this application is the Certainty Factor algorithm, which is a rule-based decision support method. This algorithm utilizes knowledge from experts in the medical field and combines it with symptom data provided by users to produce more accurate diagnoses. The app will allow users to input suggested symptoms and generate a diagnosis based on that information. It is hoped that this application will be a useful tool in a self-directed approach to diagnosis Sexually Transmitted Diseases.
Sistem Informasi Perpustakaan Berbasis Website Menggunakan Repository Pattern Agung Stiven Cahyati Angely; Nouval Trezandy Lapatta; Syahrullah; Andi Hendra; Ryfial Azhar
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4332

Abstract

Pengembangan Sistem Informasi Perpustakaan Sekolah menggunakan Metode Repository Pattern bertujuan meningkatkan efisiensi dan efektivitas pengelolaan perpustakaan yang sebelumnya dilakukan secara konvensional. Sistem informasi berbasis web ini mempermudah pencatatan peminjaman, pengembalian buku, dan pengelolaan data lainnya. Hasil penelitian menunjukkan peningkatan kualitas pengelolaan perpustakaan, dengan akses informasi yang lebih cepat dan akurat. Mayoritas pengguna menyatakan puas dengan antarmuka sistem yang intuitif dan user-friendly. Sistem ini juga memudahkan pustakawan dan admin dalam mengelola data, mencatat peminjaman dan pengembalian buku, serta mengorganisasikan kategori buku. Kesimpulannya, penerapan sistem informasi perpustakaan berbasis web dengan metode Repository Pattern di SMK Negeri 3 Palu berhasil meningkatkan efektivitas dan efisiensi pengelolaan perpustakaan, serta memberikan kemudahan akses bagi pengguna.
DESIGN OF QUEUING SYSTEM USING PRIORITY QUEUE ALGORITHM AND MULTI CHANNEL MULTI PHASE METHOD AT WEBSITE-BASED PATIENT REGISTRATION SECTION (CASE STUDY OF DONGGALA HEALTH CENTER) Ayu Anita; Rizka Ardiansyah; Nouval Trezandy Lapatta; Dwi Shinta Angreni; Rahmah Laila
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6290

Abstract

This research was conducted to regulate the queuing process which is often longer than the service standards set in the Decree of the Minister of Health Number 129 / Menkes / SK / II / 2008 stipulates that the waiting time for outpatients is equal to 60 minutes or less than 60 minutes, This study aims to design and build a website-based electronic queuing system at Puskesmas Donggala using the Priority Queue algorithm and the Multi Channel Multi Phase method. This system is designed to improve the efficiency of patient registration by reducing waiting time and providing priority for patients with emergency conditions. The research method includes data collection through observation and interviews, as well as system testing through simulation. The results show that the proposed system can reduce waiting time and increase patient satisfaction. The implementation of this system is expected to provide an effective solution to queuing problems in health facilities.
Co-Authors ., Rezki Abdillah Sani, Ilham Abdul Mahatir Najar Abdullah Abdullah Adhira Putri, Dhivanny Agung Stiven Cahyati Angely Ain, Moch. Zukhruf Aldiza Intan Randani Amriana Amriana Amriana Amriana Andhyka, Andhyka Andi Hendra Andi Hendra Angraeni, Dwi Shinta Anita Ahmad Kasim Arsita, Tiara Juli Asriani Asriani, Asriani Aulia Rakhman Ayu Anita Ayu Hernita Ayu Hernita Bakri Chairunnisa Lamasitudju Chandra, Ferri Rama Delia, Fenita Deni Luvi Jayanto Deny Wiria Nugraha Dessy Santi Djohari, Riyandi Dwitama Dwi Shinta Angreni Dwi Shinta Angreni Fahlevi, Mohammad Fazrin Fajar, Moh Fajriyah, Nurul Faldiansyah, Faldiansyah Firzatullah, Raden Muhamad Hajra Rasmita Ngemba Hamid, Odai Amer Hanama, Ikhsan Wahyudin Harlin Feby Karnita Sumbaluwu Ihalauw, Sahron Angelina Ihwan, Abib Raifmuaffah Ipham Ahmad Fahrezy Farid Iskandar skandar Kartika, Rina Laila, Rahma Lamadjido, Moh. Raihan Dirga Putra Lamasitudju, Chairunnisa Laura Paige Pasha Mandra Meilani Ilman Mohamad Irfan, Mohamad Mohammad Wandy Mohammad Yazdi Pusadan Muh. Ashari Rasyid Muhammad Akbar Muhammad Akbar Muhammad Akbar Muhammad Rifaldi Dwimanhendra Muhammad Syahputra Maulana Muhammad Zaidan Murtafiatun Darojah Mutiara Sari Ngemba, Hajra Nikmah Utami Dewi Ningsih, Alief Surya Noel Marcell Jonathan Wongkar Noviantika, Noviantika Nurhikmah Supardi Nursiana Zasqia, Andi Nirina Pagiu, Harry T. Paloloang, Muhammad Fadhil Akmal B. Priska, Salsa Dilah Putra, Adhitya Pramana Qofifa, Sitti Nurlaili Rahma Laila Rahmah Laila Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Rinianty Rinianty Rinianty, Rinianty Rizka Ardiansyah Rizka Ardiansyah Rizka Ardiansyah Rizky, Moh Taufiq Ryfial Azhar Ryfial Azhar Saada, Rahmadian A. Sabaruddin Saputra Sabarudin Saputra Sahril Sahril Septiano Anggun Pratama Setiawan, Dita Widayanti Siti Rahmawati Sri Khaerawati Nur Sukirman Sukirman Syahrullah Syahrullah Syahrullah Syaiful Hendra Syaiful Hendra Tri Krama Wirdayanti Wirdayanti Wirdayanti Wongkar, Noel Marcell Jonathan Yanti, Wirda Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli