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Perencanaan Enterprise Architecture Pada MTS Negeri 6 Muaro Jambi Menggunakan TOGAF ADM Eli Kharisma Putri; Mulyadi; Joni Devitra
JURNAL FASILKOM Vol 12 No 2 (2022): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v12i2.3905

Abstract

MTs Negeri 6 Muaro Jambi merupakan salah satu lembaga pendidikan setingkat SLTP yang terletak di Kabupaten Muaro Jambi, Provinsi Jambi. Untuk mendukung operasional sekolah, berbagai kegiatan sudah di dukung dengan sistem informasi, namun belum terintegrasi. Penelitian ini bertujuan untuk merancang arsitektur sistem informasi maupun teknologi informasi untuk diselaraskan dengan kebutuhan dalam kegiatan operasional sekolah, menggunakan framework TOGAF ADM. Tahapan TOGAF ADM yang dilakukan pada penelitian ini yaitu mulai dari Preliminary Phase, Architecure Vision, Business Architecture, Information System Architecture dan Technology Architecture. Penelitian ini menghasilkan blue print arsitektur organisasi yang terdiri dari 52 entitas data, 7 fungsi bisnis dan 17 aplikasi yang terintegrasi melalui jaringan internet dan intranet.
HYBRID SAW-TOPSIS DECISION SUPPORT SYSTEM FOR EXEMPLARY RELIGIOUS AFFAIRS OFFICES SELECTION Muhdi; Sharipuddin; Joni Devitra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.6881

Abstract

The selection of the Exemplary Religious Affairs Office (KUA) in Muaro Jambi Regency is currently hindered by manual, subjective assessments that lack transparency and objective benchmarking. This study addresses this gap by developing a web-based Decision Support System (DSS) that integrates Simple Additive Weighting (SAW) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Developed using the waterfall model, the system aims to enhance objectivity and efficiency in evaluating institutional performance. The primary scientific contribution lies in the proposed hybrid Multi-Criteria Decision-Making (MCDM) architecture: SAW is utilized to establish transparent initial criteria weights, which are then processed through TOPSIS to resolve complex trade-offs by identifying the shortest distance to the positive ideal solution. Results indicate that this integrated framework significantly improves ranking consistency and provides a robust validation mechanism compared to traditional manual evaluations. Beyond its practical application, this study contributes to the theoretical discourse on hybrid MCDM integration, offering a validated framework for enhancing accountability and objective governance within public sector institutional evaluations.
SCRUM AND ITIL-BASED SUPPORT SYSTEM DESIGN AND IMPLEMENTATION AT RAPHA THERESIA HOSPITAL Kasrizal Kasrizal; Sharipuddin Sharipuddin; Joni Devitra; Gunardi Gunardi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7004

Abstract

This research addresses the challenges of manual IT service management at Rapha Theresia Hospital, where existing processes lacked systematic tracking and reporting, leading to operational inefficiencies. The purpose was to design and implement a web-based IT support system for systematic documentation of IT requests and repairs, integrating the Scrum agile development methodology with the ITIL framework, and enabling comprehensive IT performance reporting for management evaluation. The study employed a hybrid methodological approach, combining Scrum for iterative development and ITIL for robust service delivery. Research methods included problem identification, and iterative implementation across four sprints with defined Service Level Agreements (SLAs). Rigorous User Acceptance Testing (UAT) validated the system's functionality. Results show successful implementation of a centralized system managing IT requests, assets, and reports, significantly improving operational efficiency, service reliability, and fostering data-driven decision-making. The system enhanced coordination, transparency, and accelerated service resolution within the IT team.
Optimizing Financial Risk Management Through the Integration of Artificial Intelligence Machine Learning and Strategic Human Resource Management to Anticipate Financial Crises and Enhance Corporate Financial Stability Haris Aulia Rahman; Ardilla Ayu Kirana; Moh. Sholeh; M.Makhrus Ali; Joni Devitra
Mandalika Journal of Business and Management Studies Vol 4 No 2 (2026): Mandalika Journal of Business and Management Studies
Publisher : Mandalika Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/mjbms.v4i2.479

Abstract

This study examines how the integration of Artificial Intelligence (AI), Machine Learning (ML), and Strategic Human Resource Management (SHRM) can optimize financial risk management to anticipate financial crises and enhance corporate financial stability. The research employs a qualitative library research approach using primary and secondary data collected from books, peer-reviewed journals, scientific reports, and other relevant academic literature. Data were analyzed using content analysis to identify theoretical patterns, conceptual relationships, and emerging trends related to intelligent financial risk management. The findings indicate that AI and ML significantly improve financial forecasting, fraud detection, and risk prediction through advanced predictive analytics, while SHRM strengthens organizational capabilities by developing adaptive leadership, digital competencies, and strategic decision-making. The integration of these technological and organizational resources creates a comprehensive financial risk management framework that enhances organizational resilience and supports sustainable financial performance. The study concludes that combining AI, ML, and SHRM enables organizations to proactively manage financial uncertainty, improve crisis preparedness, and achieve long-term corporate financial stability in an increasingly dynamic business environment.
Penguatan Literasi Keuangan dan Keamanan Dompet Digital Di Era Cashless Ayu Feranika; Muhammad Wardani; Rista Adilla Syafri; Laura Prasasti; Lies Aryani; Suyanti Suyanti; Joni Devitra; Widyadhana Candraningtias; Melati Permata Sari; Adinda Aulia Wahyudi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v7i2.8413

Abstract

Perkembangan teknologi keuangan digital telah mendorong tingginya penggunaan dompet digital dan transaksi non-tunai di kalangan pelajar MAN 1 Muaro Jambi. Namun, kondisi ini tidak diimbangi dengan literasi keuangan digital dan pemahaman keamanan transaksi yang memadai, sehingga siswa rentan terhadap penipuan digital, penyalahgunaan data, dan kesalahan transaksi; bahkan sebagian siswa mengaku pernah mengalami penipuan. Sebagai solusi, kegiatan Pengabdian Kepada Masyarakat (PKM) ini menawarkan penguatan literasi keuangan digital melalui metode ceramah interaktif, praktik penggunaan dompet digital dan QRIS, diskusi, serta kuis edukatif berhadiah. Kegiatan dilaksanakan pada 15 Desember 2025 dengan melibatkan 30 siswa kelas X dan XI. Hasil evaluasi menunjukkan adanya peningkatan pemahaman peserta terhadap literasi dan keamanan transaksi digital, ditandai dengan kenaikan rata-rata skor pengetahuan sebesar ±30% antara survei pra dan pasca kegiatan. Dampak konkret kegiatan ini adalah meningkatnya kesadaran siswa dalam bertransaksi secara aman, kritis, dan bertanggung jawab di era cashless society.
Pengembangan Internet Of Things Berbasis Fuzzy Logic Controller Dalam Monitoring Tanaman Hidroponik Aan Tohir Efendi; Kurniabudi; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2313

Abstract

Peningkatan kebutuhan pangan dan ketidakefisienan sistem pertanian tradisional mendorong pengembangan sistem hidroponik berbasis IoT dan Fuzzy Logic Controller (FLC) untuk pemantauan otomatis parameter lingkungan (pH, TDS, suhu). Penelitian ini bertujuan meningkatkan efisiensi pengelolaan hidroponik melalui integrasi sensor (pH, TDS, suhu) dengan ESP32 untuk transmisi data real-time ke platform web dan algoritma FLC untuk kontrol adaptif. Implementasi di Teras Hidroponik SMK Negeri 7 Sarolangun menunjukkan akurasi sensor dengan error 1,57% (pH), 5,2% (TDS), dan 0,4% (suhu). FLC mengklasifikasikan kondisi lingkungan sebagai "baik" (pH 5,5–7,0; TDS 600–950 ppm; suhu 23–26°C) atau "buruk" dengan respons <30 detik, mengurangi intervensi manual 30% dan meningkatkan konsistensi pertumbuhan tanaman 25%. Sistem ini juga menjadi media pembelajaran praktis IoT dan kontrol cerdas bagi siswa dalam system pertanian modern.
Analisis Kepuasan Pengguna Aplikasi EMOS Menggunakan Model Delone dan Mclean Pada PT.Enseval Putera Megatrading Cabang Jambi Susanto Hertio Bagus Saputro; Dodo Zaenal Abidin; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2339

Abstract

Abstract− This study aims to evaluate user satisfaction with the EMOS (Enseval Mobile Order System) application at PT. Enseval Putera Megatrading Cabang Jambi, using the DeLone and McLean model. The main focus of this research is to identify the impact of system quality, information quality, and service quality on application usage, as well as their effect on user satisfaction and perceived benefits. The study uses a quantitative approach with a questionnaire distributed to 150 users, and data analysis was conducted using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) with the SmartPLS software. The findings indicate that system quality, information quality, and service quality significantly influence the usage of the EMOS application and user satisfaction. Specifically, service quality plays a crucial role in enhancing user satisfaction and the perceived benefits, such as increased operational efficiency and ease of ordering. These findings provide recommendations for PT. Enseval Putera Megatrading to improve the EMOS platform's quality to better meet user needs and support the company's operational efficiency.
Perancangan Sistem Informasi Santri Berbasis Web Dengan Menerapkan Algoritma AES (Advanced Encryption Standard) Pada Yayasan Griya Fadhilah Al-Qur’an Mohammad Badri; Dodo Zaenal Abidin; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2349

Abstract

Information systems are now an important part of an organization because they support decision making, simplify activity processes, and help manage data. The process of managing student data at the Griya Fadhilah Al-Qur'an Foundation is still done manually, so there is a risk of damage, loss, unauthorized access, or even misuse of data. Attendance is also still done manually using paper, which is susceptible to damage and loss. Filling in assessments and monitoring student development using Microsoft Excel is also susceptible to input errors, calculations, and data loss. This study aims to design a web-based student information system and implement the AES (Advanced Encryption Standard) algorithm in the system at the Griya Fadhilah Al-Qur'an Foundation. The system development method used is the Waterfall method, with UML modeling tools, including use case diagrams and class diagrams. This system was developed using the PHP programming language with the Laravel framework, and the MySQL database. The results of this study are a web-based student information system by implementing the AES algorithm that can help the foundation manage student data and improve data security. By implementing AES, student data, assessments and student development can be converted into characters that cannot be read or interpreted directly, which is expected to increase security and prevent unauthorized access or misuse of data.
PENGARUH FITUR LIVE COMMERCE DAN SOCIAL INFLUENCE TERHADAP MINAT BELI PADA PENGGUNA TIKTOK LIVE SHOPPING Dian Angrianis; Setiawan Assegaff; Joni Devitra; Ahmad Fadhil Yusof
Jurnal Teknologi Informasi Mura Vol. 18 No. 3 (2026): Jurnal Teknologi Informasi Mura SEPTEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i3.3450

Abstract

TikTok Live Shopping menggabungkan fitur platform interaktif dengan lingkungan sosial yang dapat membentuk kepercayaan konsumen dan niat pembelian. Studi ini meneliti hubungan antara Fitur Live Commerce, Pengaruh Sosial, Kepercayaan, dan Niat Pembelian menggunakan kerangka kerja Stimulus-Organism-Response (SOR). Survei lintas sektoral dilakukan di antara perempuan Generasi Z yang tinggal di Kota Jambi. Dari 112 tanggapan yang dikumpulkan dari Maret hingga Juni 2026, 100 tanggapan lengkap dianalisis menggunakan PLS-SEM di SmartPLS 4, dengan bootstrapping berdasarkan 5.000 subsampel. Fitur Live Commerce berasosiasi positif dengan Kepercayaan (β = 0,514, p < 0,001), sedangkan Pengaruh Sosial tidak berasosiasi secara signifikan dengan Kepercayaan (β = 0,047, p = 0,657). Kepercayaan berasosiasi positif dengan Niat Pembelian (β = 0,677, p < 0,001), dengan model menjelaskan 45,8% dari variansnya. Hubungan tidak langsung melalui Kepercayaan signifikan untuk Fitur Perdagangan Langsung (β = 0,347, p < 0,001) tetapi tidak untuk Pengaruh Sosial (β = 0,032, p = 0,662). Temuan ini mendukung jalur berbasis kepercayaan yang telah ditentukan untuk persepsi terkait platform dalam sampel ini, sementara jalur sosial yang terkait tetap tidak didukung. Desain lintas-seksional dan pengambilan sampel bertujuan membatasi interpretasi kausal dan generalisasi.