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Journal : kharisma tech

RANCANG BANGUN SISTEM INFORMASI ADMINISTRASI DAN AKADEMIK SANTRI DENGAN METODE PROTOTYPE Devinka Putri; Riki Afriansyah; Putri Armilia Prayesy
KHARISMA Tech Vol 21 No 1 (2026): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v21i1.663

Abstract

The management of administrative and academic activities in Islamic boarding schools (pesantren) is an essential aspect in supporting the quality of educational services. However, manual processes often create obstacles such as delays in data processing, information duplication, and inefficiency in service delivery. Based on these issues, this study focuses on developing a Web-Based Santri Administrative and Academic Information System as a means to improve the effectiveness, accuracy, and transparency of data management in pesantren. The development process applies the prototype method, which allows users to be directly involved in the system design and evaluation stages. The system includes integrated management of student, teacher, class, grade, and financial administration data. Testing was conducted using black-box testing and User Acceptance Testing (UAT) to verify system functionality and user satisfaction levels. The results show that all system features performed well, achieving a feasibility rate of 90.06%, categorized as highly feasible. Therefore, this system serves as an effective solution to support the digitalization of administrative and academic processes within Islamic boarding schools.
WEB APPLICATION FOR PLANT MANAGEMENT AND PEST-DISEASE DIAGNOSIS BASED ON RAD Husnul Fadlilah; Riki Afriansyah; Nur Khasanah
KHARISMA Tech Vol 21 No 2 (2026): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v21i2.673

Abstract

Penggunaan teknologi informasi di bidang pertanian semakin dibutuhkan untuk membantu petani mengelola tanaman dan mendeteksi hama dan penyakit secara cepat dan akurat. Proses identifikasi yang masih dilakukan secara manual seringkali menimbulkan keterlambatan dan potensi kesalahan, sehingga dibutuhkan sistem digital yang dapat menyediakan informasi diagnostik yang akurat. Penelitian ini bertujuan untuk mengembangkan aplikasi web untuk manajemen tanaman dan diagnosis hama-penyakit menggunakan metode Rapid Application Development (RAD). Metode RAD dipilih karena memungkinkan pengembangan sistem yang lebih cepat melalui pembuatan prototipe iteratif dan keterlibatan pengguna secara aktif, sehingga menghasilkan aplikasi yang lebih sesuai dengan kebutuhan lapangan. Aplikasi ini menyediakan fitur untuk mengelola data tanaman, mencatat gejala, dan menentukan hasil diagnostik, lengkap dengan tingkat keyakinan dan rekomendasi penanganannya. Hasil pengujian menunjukkan bahwa semua fungsi utama bekerja dengan baik dan dapat mendukung proses identifikasi dengan lebih mudah dan efisien. Pengujian penerimaan pengguna juga menunjukkan respon yang sangat positif, dengan 86,4% responden menyatakan “Sangat Setuju” terhadap kemudahan penggunaan dan manfaat aplikasi. Secara keseluruhan, aplikasi ini dinilai layak dan efektif sebagai solusi pendukung keputusan dalam pengelolaan tanaman dan deteksi dini hama dan penyakit, serta berpotensi mendukung penerapan pertanian presisi.
Internet of Things-Based Chinning Up and Pull Up Monitoring System intan ayu; Tasya Ananda; Riki Afriansyah; Ocsirendi
KHARISMA Tech Vol 21 No 2 (2026): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v21i2.688

Abstract

This study was conducted to design and develop an automated counting system for Chinning Up and Pull Up exercises based on the Internet of Things, aimed at improving the accuracy and efficiency of physical fitness assessment. The proposed system integrates a SHARP GP2Y0A21 infrared sensor to detect movement repetitions and an electromyography sensor to measure biceps and triceps activity. All captured data are processed by an ESP32 microcontroller and transmitted directly to Firebase Realtime Database, then displayed through a web interface developed using Laravel. The system supports three user roles—admin, supervisor, and athlete—each responsible for account management, training monitoring, and access to performance records. Testing procedures were carried out using Blackbox Testing and User Acceptance Test to evaluate measurement accuracy and usability. The results indicate that the system can identify repetitions with an accuracy of 96.8% and measure muscle activity with an accuracy of 94.5%. Training data are presented in real time and stored as monitoring records. Based on these findings, the system is considered effective in providing an objective, measurable, and integrated evaluation mechanism for exercise performance