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Sistem Informasi Simulasi Dan Penilaian Kredit Skoring Berbasis Website Pada PT. Bank Perkreditan Rakyat Dana Nusantara Kota Tanjungpinang Abdulrahmad, Abdulrahmad; Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Candlekie, Candlekie
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

This research is motivated by the management of credit application data management and management of prospective debtor eligibility data and credit scoring data at PT. Bank Perkreditan Rakyat Dana Nusantara, Tanjungpinang City, which does not yet have a computerized system that is integrated between marketing, the assessment section and the team leader. Where each credit application data for each prospective debtor and credit scoring data and verification results are processed and summarized in Microsoft Excel and each application document is still summarized manually. With the conditions and descriptions mentioned above, it is very possible that the data collection process will experience errors and mistakes and even documents can be scattered or lost. So that the marketing and assessment sections concerned have difficulty taking action because the documents have been scattered or lost. Currently, credit application data management is carried out manually, where the process of submitting credit application documents is carried out directly, then the management of prospective debtor data, credit scoring is summarized into Microsoft Excel. As a result, marketing assessments become slower and other work is disrupted. So the author took the initiative to create a system that is able to adequately manage all credit application data management processes using the Waterfall method in designing software that will be used by all users of the designed system. To make it easier and accessible anytime and anywhere, the system is designed based on a website, so that notifications regarding the continuation of the credit application are directly entered and displayed automatically in the system, especially for each prospective debtor who has made a credit application, whether the application is approved or rejected. In designing the system, the author uses PHP (Programing Hypertext Prepocessor), framework (LARAVEL) as a system design media.
Perancangan Sistem Informasi Absensi berbasis Web pada Toko Jaya Plastik Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahmad, Abdul
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

An activity of collecting data that is part of the reporting activity, contains attendance data that is collected and managed to determine the frequency of attendance at an activity that can be used whenever needed, interpreted as absence. It was identified that there was an ineffectiveness in the process of collecting employee attendance lists at Toko Jaya Plastik. Then, this also raises another problem, namely inaccurate information will affect the calculation of employee salaries. Thus, a web-based attendance information system is needed so that attendance activities can be accessed by employees using smartphones. Based on these problems, the researcher took the initiative to design and implement a web-based attendance system. The programs used to design the attendance system are Visual Studio Code, MySQL, XAMPP, and Google Chrome. The researcher conducted observations and interviews with Toko Jaya Plastik, to obtain information related to the attendance application system. Then, this web-based attendance information system was developed and implemented with the PHP, HTML, Java Script, CSS programming languages ​​and using the MySQL database. Based on the results of the research and system design, it can be concluded that, after testing, the designed web-based attendance system can be implemented properly. The suggestion for further research is the development of the QR Code scan feature so that it can be done for a lifetime.
Utilization of Digital Technology for Enhancing Creative Performance in the Resilient Community of Strategic Partners of Sembangin Service Cooperative Metawork Community: Pemanfaatan Teknologi Digital untuk Peningkatan Kinerja Kreatif pada Komunitas Tangguh Mitra Strategis Koperasi Jasa Sembangin Community Metawork Aggry, Aggry Saputra; As Saidah, Muthiah; Rahmad, Abdul; Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahayu, Vita
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i2.23282

Abstract

Perkumpulan Keluarga Berencana Indonesia (PKBI) is a non-governmental organization that leads the Family Planning movement in Indonesia, focusing on families as pillars of health, education, and welfare. PKBI Riau Islands region supports resilient communities, including the Sehati Business Group Community, Peer Educators, and Community Cadres, through the Sembangin Community Metawork Service Cooperative for economic empowerment. Several challenges faced by the community cadres include administrative efficiency, creative design, and file management, necessitating the use of digital technology to address these issues. The results of this community service program show an improvement in the community’s skills in using computers, office applications, Canva design, and cloud management. The community cadres are now able to manage administration and files more efficiently, as well as produce more creative design materials
Implementasi Metode Fuzzy Analytical Hierarchy Process (FAHP) Pada Sistem Pendukung Keputusan Pemilihan Material Bangunan Berdasarkan Kesesuaian Budget Konsumen Berbasis Website Di Toko Abadi Jaya Ilivia Ilivia; Elviana Elviana; Mulyadi Tan; Zulfachmi Zulfachmi; Dedy Jauhari
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 10 No 2 (2021): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v10.i2.7481

Abstract

A budget is a financial estimate that is prepared in the form of income and expenses with the intention of making it efficient for a certain period of time. The meaning of budget in Indonesian is a budget. The budget that has been created is not left to chance. It will definitely be compared with actual use to evaluate whether it is appropriate or if there are changes to make the budget more efficient. This is an obstacle for PT. Eternal Jaya. The obstacle to development is the budget problem in purchasing materials. Every construction carried out must make an estimate of the materials used according to the budget. But not all companies can do that. The lack of information about prices and types of material is one of the constraining factors in determining which material to buy according to the budget. The research method used is to use the Fuzzy Analytical Hierarchy Process method to determine materials according to the budget and conduct direct surveys and then interviews. The results of the Implementation of the Fuzzy Analytical Hierarchy Process (FAHP) Method on the Decision Support System for the Selection of Building Materials based on Budget Suitability. Website-based consumers at Toko Abadi Jaya can help Toko Abadi Jaya in selecting materials that fit the budget.
Identifikasi Berita Hoax dengan Recurrent Neural Network Kevin Perdana; Zulfachmi; Dwi Nurul Huda
Jurnal Bangkit Indonesia Vol 10 No 02 (2020): Bulan Oktober 2020
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1484.829 KB) | DOI: 10.52771/bangkitindonesia.v10i02.185

Abstract

The problem of hoax news is something universal that can change someone perspective. The impact can generate fear, racism ideas, and lead to oppression and violence against innocent people. This problem has existed since time immemorial, even though there is no access to information throughout the world. Currently there are 2.5 trillion bytes of data and it increasing, leading to the next problem, i.e. faster at analyzing and identifying hoax news and real news. The ideal solution is using Deep Learning algorithm and the author chooses Recurrent Neural Network (RNN) method and it's particular method Long Short-Term Memory (LSTM). The accuracy obtained is 99%, greater than Machine Learning methods such as Rocchio or Multinomial Naive Bayes.
Systematic Literature Review: Analisis Pendekatan Matematis dalam Sistem Pendukung Keputusan Muthiah As Saidah; Aggry Saputra; Dwi Nurul Huda; Zulfachmi Zulfachmi; Zulkipli Zulkipli; Muhammad Qolbi Shobri
Jurnal Bangkit Indonesia Vol 15 No 1 (2026): Bulan Juni 2026
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v15i1.486

Abstract

This study aims to analyze mathematical approaches used in Decision Support Systems (DSS) through a Systematic Literature Review (SLR) method. A total of 41 scientific articles published between 2021 and 2026 were selected based on predefined inclusion criteria. The SLR process was conducted through several stages, including research question formulation, literature search, study selection, data extraction, and synthesis of findings. The results indicate that mathematical approaches in DSS can be classified into four main categories: Multi-Criteria Decision Making (MCDM), probabilistic, optimization, and hybrid approaches. Based on the distribution of articles, hybrid approaches are the most dominant with 19 articles, followed by MCDM with 10 articles, probabilistic with 7 articles, and optimization with 5 articles. The dominance of hybrid approaches reflects a paradigm shift from single-method usage toward the integration of multiple mathematical approaches to enhance system flexibility and accuracy. MCDM approaches remain widely used in structured multi-criteria problems, while probabilistic approaches play an important role in handling uncertainty and dynamic systems. Meanwhile, optimization approaches are applied to determine optimal solutions based on objective functions and constraints. This study contributes to systematically mapping and classifying mathematical approaches in DSS, as well as identifying research trends and future directions. The findings are expected to serve as a reference for developing more adaptive and integrated decision support systems.