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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ilmiah KOMPUTASI JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Riset Informatika bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jifosi Nusantara Science and Technology Proceedings ABSYARA: Jurnal Pengabdian Pada Masyarakat SPRINTER: Jurnal Ilmu Olahraga Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Sistem Informasi dan Bisnis Cerdas JOINCS (Journal of Informatics, Network, and Computer Science) Madani: Multidisciplinary Scientific Journal MDP Student Conference Kreativitas Pada Pengabdian Masyarakat (Krepa) ILTEK : Jurnal Teknologi AMMA : Jurnal Pengabdian Masyarakat Student Research Journal Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Prosiding Seminar Nasional Ilmu Teknik Router : Jurnal Teknik Informatika dan Terapan
Rizka Hadiwiyanti
Universitas Pembangunan Nasional Veteran Jawa Timur
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Decision Support System for Extending PT Nitro Pratama Indonesia Outlet Cooperation Using the Fuzzy AHP-TOPSIS Radhyana Gayatri Faradilla; Rizka Hadiwiyanti; Abdul Rezha Efrat Najaf
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4847

Abstract

The increasingly competitive business environment required companies to make objective decisions, particularly in determining the feasibility of outlet contract extensions. PT Nitro Pratama Indonesia previously conducted this process manually, which often led to inconsistent decisions. This study aimed to develop a web-based decision support system to evaluate outlet cooperation systematically. A combination of Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied. Fuzzy AHP was used to determine the weight of criteria under uncertain conditions, while TOPSIS was used to rank alternatives based on their proximity to the ideal solution. The study involved 50 active outlets located in Surabaya and Solo branches. The final criteria weights obtained were Outlet Revenue (0.33), Rental Cost (0.26), Outlet Location (0.16), Accessibility (0.11), Competitiveness (0.08), and Operational Cost (0.06). The ranking process generated objective recommendations that were consistent with manual calculations. Functional testing using Black Box Testing indicated that all system features operated properly. The system proved effective and relevant in supporting accurate and efficient decision-making for outlet contract extensions.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN DAN PEMBELIAN MENGGUNAKAN FRAMEWORK LARAVEL DI DISTRIBUTOR MAKANAN DAN MINUMAN Permatasari, Vioneta Zarazsofia; Wibowo, Nur Cahyo; Hadiwiyanti, Rizka
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.306

Abstract

CV. Bukit Zaitun merupakan distributor makanan dan minuman ringan yang hingga kini masih mencatat transaksi secara manual di buku besar. Cara tersebut menimbulkan berbagai kendala, seperti kesalahan input, risiko hilangnya data, dan keterlambatan dalam penyusunan laporan. Berdasarkan catatan operasional, perusahaan memasarkan sekitar 800 produk dengan penjualan harian rata-rata 300–400 item, atau kurang lebih 2.800 produk setiap minggu. Tingginya frekuensi transaksi ini menunjukkan perlunya sistem pengelolaan yang lebih sistematis. Tujuan dari penelitian ini adalah membuat sebuah sistem informasi penjualan dan pembelian berbasis web menggunakan framework Laravel. Model pengembangan yang digunakan adalah Waterfall, meliputi tahapan komunikasi, perencanaan, perancangan, implementasi, pengujian, hingga penerapan. Sistem diuji menggunakan pendekatan Black Box Testing. Hasil uji menunjukkan semua fungsi berjalan sesuai kebutuhan. Produk akhir penelitian ini adalah sistem informasi berbasis web yang dilengkapi fitur registrasi, pengelolaan produk, pembelian ke supplier, pemesanan, checkout, unggah bukti pembayaran, verifikasi admin, serta laporan penjualan dan pembelian.
Implementasi MADM Dalam Sistem Pendukung Keputusan Pemilihan Kandidat Magang Social Media Specialist Menggunakan AHP-TOPSIS Pada PT.XYZ Farras Hafish Zidane; Rizka Hadiwiyanti; Iqbal Ramadhani Mukhlis
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.56

Abstract

This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.
Information System Development for Dental Clinic Using ReactJS and Prisma ORM Farrel Farhan; Nur Cahyo Wibowo; Rizka Hadiwiyanti
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2616

Abstract

drg. Irna Dental Clinic is a healthcare facility that still uses a semi-manual system for patient registration and medical recordkeeping, leading to various issues such as service delays, recording errors, and difficulties in managing patient data. This study aims to design and develop a web-based information system that integrates administrative processes, including patient registration, appointment scheduling, medical record management, and online consultation features. The system was developed using the Software Development Life Cycle (SDLC) Waterfall model, employing modern web technologies for the frontend, user interface design, and database management. System testing was conducted using the Black Box Testing method with 48 test cases, all of which were successfully executed as expected. This indicates that all the core features of the system function properly and consistently. The results show that the system can improve the clinic’s operational efficiency, simplify access to information, and support more organized and modern patient services. By transitioning from a semi-manual system to a fully digital one, the clinic can provide faster, more accurate, and easily accessible services, significantly enhancing the overall patient experience and helping the clinic keep up with technological advancements in healthcare service delivery. Additionally, the feedback from the clinic's staff (doctors and admins) confirmed that the system meets the operational goals and provides a more efficient solution compared to the previous manual processes.
Forecasting Crab Raw Material Inventory in Seafood Culinary Business Using SARIMA and Prophet Methods Carisca Rizky Sanyoko; Rizka Hadiwiyanti; Seftin Fitri Ana Wati
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2676

Abstract

Seafood based culinary businesses face significant challenges in inventory management due to fluctuating and unpredictable customer demand. Inaccurate forecasting can lead to either excess stock, resulting in waste and increased storage costs, or stock shortages, which disrupt production and reduce customer satisfaction. Among the various raw materials used, crab is the most critical, accounting for 80.6% of total raw material demand, making it essential to forecast its demand accurately to maintain operational efficiency and avoid disruptions. This study addresses the inventory problem by applying two time series forecasting methods SARIMA and Prophet to predict weekly crab demand. The performance of both models was evaluated using RMSE and MAE to assess the accuracy and reliability of their predictions over time. The SARIMA model with parameters (2,1,10)(0,1,2)[12] achieved the best forecasting performance, with an RMSE of 1.32752 and MAE of 1.24207, clearly outperforming the Prophet model, which recorded an RMSE of 1.4623 and MAE of 1.3506. These results demonstrate that SARIMA is more effective in capturing seasonal patterns and demand trends in crab usage data. In conclusion, the SARIMA model offers more precise and reliable forecasts, making it a more suitable tool for supporting raw material inventory decision-making in seafood culinary businesses, particularly when dealing with high-demand ingredients such as crab.
Implementation of PXP in Developing a Website for Computer Sales and Services Maulana Bryan Syahputra; Nur Cahyo Wibowo; Rizka Hadiwiyanti
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3047

Abstract

Technology is crucial for enhancing competitiveness and service quality for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. However, many MSMEs, including CV. Tecomp’99, a computer sales and repair company, still rely on manual processes, resulting in inefficiencies and reduced customer satisfaction. This study designs and implements an integrated web-based sales and service information system for CV. Tecomp’99 using the Personal Extreme Programming (PXP) methodology, a lightweight adaptation of Extreme Programming for individual developers. PXP was applied iteratively through requirement gathering, planning, implementation, testing, refactoring, and retrospectives. The system was developed using Laravel, Tailwind CSS, and MySQL, and validated through 67 test scenarios. Development was completed in four iterations, with 19 user stories implemented and a total of 71 story points completed in 63 working days, demonstrating stable velocity and reliable estimation. The resulting system integrates product sales, service order management, payment processing, reporting, live chat, and service tracking, improving workflow efficiency by 20% and reducing order processing time by 30%. These improvements are backed by measurable outcomes from testing and user feedback. Findings indicate that PXP is an effective framework for small-scale projects in MSMEs, supporting iterative development under resource constraints. Future work should include integrating AI-driven analytics for decision-making, enhancing mobile platform access, and developing customer feedback loops for continuous system improvement.
Implementasi AI Pada Sistem Enterprise Resource Planning: Systematic Literature Review Irmansyah, Dimas; Hadiwiyanti, Rizka; Fitri, Anindo Saka; Imamuddin, Ashari
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15425

Abstract

The development of AI presents significant opportunities for ERP systems. While the opportunities presented by AI development are significant, organizations need to validate their implementation before implementing AI into their ERP systems. This study aims to determine how AI in ERP can improve business performance, the challenges and solutions in AI implementation, and the impact of AI implementation in ERP through a systematic literature review. The results demonstrate time, cost, and resource efficiencies through AI implementation in ERP. However, AI implementation presents challenges such as the quality and quantity of data required, architectural complexity, organizational readiness, and the model chosen for ERP implementation.
Co-Authors Abdul Rezha Efrat Najaf Achmad Afandi Achmad Afandi Achmad Afandi Achmad Afandi Achmad Afandi, Achmad Adha, Didan Rizky Adin Nugroho, Himas Agung Brastama Putra Agussalim, Agussalim Alfayza, Dimas Amalia Anjani Arifiyanti Anindo Saka Fitri Arimawan, Kesya Sakha Nesya Asif Faroqi Asyari, Aisha Safa Ayu Ithriah, Syurfah Bagas Adil Putrajaya Budijanto Budijanto Carisca Rizky Sanyoko Chindy Hanggara Rosa Indah Dhian Satria Yudha Kartika Erlin Ayu Khrisnawati Erlin Ayu Khrisnawati Fadilah, Muhammad Reza Ishadi Farras Hafish Zidane Farrel Farhan Ferry Kurniawan Ferry Kurniawan Fitri, Anindo Saka Gading Putri Diniarti Hadi Sugiyanto Herowati, Ayu Budy Heowati Imamuddin, Ashari Indah, Chindy Hanggara Rosa Iqbal Ramadhani Mukhlis Irmansyah, Dimas Isro Ani Widayanti Kamila, Syafiatul Kamilah, Ismiazzah M.Reza Ishadi Fadilah Marga Kusumantara, Prisa Maulana Bryan Syahputra Mohamad Irwan Afandi Muhammad Januar Pribadi Murod, Alfin Murtadho Yanwar, Ringgo Nilwanda, Leona Elsa Noviardi P, Yovika Nugraha, Abrianto Nur Cahyo Wibowo Paulus Rah Adi Pawitra Permatasari, Vioneta Zarazsofia Prasasti Karunia F. A Putri, Youlan Indira Radhyana Gayatri Faradilla Ramadhan, Jose Bagus Ratno Susanto Ratno Susanto Ratno Susanto Ridwandono, Doddy Seftin Fitri Ana Wati Simanjorang, Veby Pebiola Br Suci, Tamariska Laras Sugiyanto, Hadi Suryantari, Putu Anggi Susanto, Ratno Titik Purwanti Tri Diana Rimadhani Tri Lathif Mardi Suryanto Uce Indahyanti Wahyuni, Eka Dyar Wasenanto, Bergas Wibowo, Annisa Raudya Wibowo Wibowo, Nur Cahyo Widayanti, Isro Ani Winarno Wisnu Mukti Darwansah Yuskhil Mushofi Yuskhil Mushofi Yusuf Al Ma'ruf, Achmad