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IMPLEMENTATION OF A WEB-BASED SPP PAYMENT INFORMATION SYSTEM AT SMA NEGERI 1 WATUBANGGA USING THE WATERFALL METHOD TO ENHANCE EFFICIENCY AND TRANSPARENCY Bantun, Suharsono; Sari, Indri Purnama; Assagaf, Sayyed; Sari, Jayanti Yusmah
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2154

Abstract

This research aims to develop and implement a website-based Education Development Contribution (SPP) payment information system at SMA Negeri 1 Watubangga using the Waterfall method. The general problem faced is the management of conventional SPP payments which is inefficient, prone to errors, and lacks transparency. In particular, SMA Negeri 1 Watubangga experienced difficulties in manually recording SPP payments which resulted in data accumulation, loss of payment cards, and errors in presenting reports. Needs analysis was carried out through interviews and observations with related parties, resulting in functional requirements such as student data management, SPP bill management, printing proof of payment, and payment reports that can be accessed by the school principal. Coding is done using HTML, CSS, JavaScript, and PHP, with a MySQL database. The WhiteBox test results show that this system is free from errors with cyclomatic complexity, region and independent path values ​​of 52. A total of 14 flowgraphs received good validation. User Acceptance Test (UAT) testing with 36 respondents, including treasurers, school principals and students, showed positive results with a final score of 64%, indicating this system is good and feasible to implement. Implementation of this system increases efficiency and transparency in managing SPP payments, as well as making access to information easier for students and schools. Challenges in user adaptation to new systems can be overcome with intensive training. This research proves that information technology can provide an effective solution in managing SPP payments and can be used as a model for other schools that face similar challenges.
Designing an AI-Based Village Information System Using Research and Development Approach for Public Governance Modernization in Popalia Village Arafat, Arafat; Rasyid, Rasmiati; Hestiana, Sry; Rendi, Rendi; Bantun, Suharsono; Sari, Jayanti Yusmah
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5257

Abstract

The COVID-19 pandemic has highlighted the challenges faced by village administrations in managing public services that remain highly manual, inefficient, and prone to errors. This study aims to design an Artificial Intelligence (AI)-based Village Information System to improve administrative efficiency, accuracy, and accessibility. The research employs a Research and Development (R&D) approach through requirement analysis, system design, prototype development, integration of an AI Generative Model and a Natural Language Processing (NLP) chatbot, followed by functional testing using the Black-box method and usability evaluation with the System Usability Scale (SUS). The results show that functional testing achieved a 95% pass rate and the SUS evaluation scored 87.0, placing the system in the “Excellent” category. These findings indicate that the system effectively automates document creation, validates citizen data, and supports interactive services through an NLP-based chatbot. The study contributes to the modernization of digital village governance in Indonesia by demonstrating how AI integration can reduce administrative workload, minimize errors, and enhance service quality.
Biometrika Nirsentuh Berbasis Pengenalan Pembuluh Darah pada Telapak Tangan Menggunakan Wavelet dan Local Line Binary Pattern Sari, Jayanti Yusmah; Bantun, Suharsono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.4530

Abstract

To support the roadmap for coexistence with Covid-19, contactless biometrics is needed as an individual identity verification technology in daily activities such as control systems, recording attendance at offices/schools/agencies and access rights to a room. An example of contactless biometrics is palm vein-based biometrics. Because it is contactless, this biometric system does not require direct contact between the user and the sensor device, providing several advantages in terms of comfort during acquisition and is more hygienic. In the palm vein recognition system, the palm vein pattern can be considered as a texture feature. Therefore, this study proposes a contactless biometric system based on palm vein recognition using the Local Line Binary Pattern method to extract texture features of palm vein images resulting from the decomposition of the 2D Wavelet Transformation, so as to produce a small texture descriptor that is compatible with the texture characteristics of thin veins. The proposed texture feature extraction method has been tested using the fuzzy k-NN classification method on 600 palm images with a CRR accuracy of 95.0% with a computation time of 0.057 seconds.
Training on the Use of Report Application Based on Ms. Excel with Curriculum 2013 for Teachers of SDN 105 Kendari Sari, Jayanti Yusmah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2024): November 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i2.192

Abstract

The implementation of the 2013 Curriculum (K-13) in elementary schools (SD) has brought significant changes to teachers' administrative activities, especially in filling out student report cards, which are now more complex compared to the previous curriculum. To facilitate the process of entering report card grades, teachers were provided with a report card application based on Microsoft Excel. However, at SDN 105 Kendari, most teachers encountered difficulties using the application due to limited technological knowledge, resulting in the report card process often being assisted by the school operator. To address this issue, the Faculty of Information Technology at Universitas Sembilanbelas November Kolaka organized training on the use of the K-13 report card application based on Microsoft Excel for the teachers at SDN 105 Kendari. The training was conducted in person, actively involving participants in each stage. The training covered an introduction to basic Microsoft Excel formulas and detailed use of the K-13 report card application. The results showed that the program ran smoothly and received positive feedback from the participants. It is hoped that the teachers will become more independent and efficient in filling out student report cards.
Mask Detection Using the YOLO (You Only Look Once) Method Andi, Ilham; Muchtar, Mutmainnah; Sari, Jayanti Yusmah
Jurnal Media Informasi Teknologi Vol. 1 No. 1 (2024): Februari 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v1i1.165

Abstract

The COVID-19 pandemic has emphasized the importance of wearing masks as a preventive measure. To facilitate mask detection and ensure compliance, computer vision techniques have been widely utilized. This research aims to develop a mask detection system using the YOLO (You Only Look Once) method. YOLO is a real-time object detection method that provides accurate and efficient results. The proposed system utilizes a pre-trained YOLO model trained on a dataset comprising images of individuals with and without masks. The YOLO model can detect and locate faces, as well as differentiate between individuals wearing masks and those who are not. The method works by dividing the image into a grid and predicting bounding boxes and class probabilities for each grid cell. This approach enables real-time mask detection with minimal computational overhead. Experimental evaluations were conducted using various relevant benchmark datasets. The evaluation results demonstrate that the mask detection system using the YOLO method achieves high detection rates and fast response times. This research is expected to contribute to the effort of monitoring mask usage to control the spread of COVID-19.
Co-Authors A. Muhammad Idkhan Abdul Malik Abdullah Igo BD Adha Mashur Sajiah Agum Agidtama Gafar Agus Zainal Arifin Agustinus Suria Darme Amil A Ilham Andi Baso Kaswar Andi Baso Kaswar Andi, Ilham Arafat, Arafat Arief Budiman Aryadi Nurfalaq Asih Setiyorini Asih Setiyorini Aspian Achban Assagaf, Sayyed Auliani, Andi Nur Melly Bambang Pramono Bantun, Suharsono Chastine Fatichah Daiona, Abdullah Igo Baran Darme, Agustinus Suria Dewi Hastuti Dimas Febriyan Priambodo Eva Sapitra Fandiansyah Fandiansyah Fandiansyah, Fandiansyah Fransisca J Pontoh Hafidz Muhtar Hardianti Hardianti Hasnawati Munandar Henry Praherdhiono Hestiana, Sry Idkhan, A. Muhammad Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Ika Purwanti Ningrum Purnama Ika Purwanti Ningrum, Ika Purwanti Ika Putri Ningrum Indar Ismail Jamaluddin Ingrid Nurtanio Isnawaty Isnawaty Jayawarsa, A.A. Ketut La Ode Hasnuddin S. Sagala Linda Purnama Muri Luh Putu Ratna Sundari Mardianto Mardianto Mardianto Mardianto Moh La Andi Rais Imran Yatim Muarif, Amar Muh. Abdi Fahmi Muh. Ariyandhi Masalu Muhammad Mail Muhammad Naim Muhammad Nur Khidfi Muhammad Syaiful Muhammad Syaiful Muhtar, Hafidz Mutmainnah Muchtar Naim, Muhammad Nanik Suciati nina sularida limin Ningrum, Ika Purwanti Nirsal Nirsal Nirsal Noorhasanah Zainuddin Novriadi, Teguh Nur Fajriah Muchlis Nur Inzani Reski Amalia Nurfagra Nurfagra Nurfalaq, Aryadi Nurfitria Ningsi Phradiansah ., Phradiansah Punaji Setyosari Purnama, Ika Purwanti Ningrum Qammaddin Qammaddin R, Ranir Aftar Rabiah Adawiyah Rabiuldien Amat, Rabiuldien Rahman, Faizal Jumain Rahmat Karim Ranir Atfar R Rapa, Wiwi Rasmiati Rasyid Rendi Rendi, Rendi Reski Surya Aristika Ricky Ramadhan Rina Rembah Risnayanti Risnayanti Rizal Adi Saputra Saida Ulfa Sari, Indri Purnama Sarimuddin, Sarimuddin Sartika Sari Sartika Sari Sehan, Sahara Selviani Selviani Suci Pricilia Lestari Suharsono Bantun Suharsono Bantun Suharsono Batun Suharsono Suhar Syaban, Kharis Syahrul Syahrul Syamsuddin Teguh Novriadi Wiwi Rapa Yuwanda Purnamasari Pasrun