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Perancangan Sistem Informasi Unit Kesehatan Sekolah Menggunakan Model Prototipe Imam Sutoyo
Paradigma Vol 23, No 2 (2021): Periode September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.918 KB) | DOI: 10.31294/p.v23i2.11092

Abstract

Unit Kesehatan Sekolah (UKS) yang bertugas memberikan pelayanan kesehatan khususnya terhadap siswa, telah menjadi bagian vital dari operasional sebuah sekolah. Oleh karena itu, pelayanan pada UKS perlu ditingkatkan efektifitas dan efisiensinya. Salah satu permasalahan yang menghambat kinerja UKS adalah pemrosesan data dan informasi secara manual dikarenakan belum adanya sistem yang terkomputerisasi. Penelitian ini bertujuan untuk merancang sistem informasi UKS yang akan menggantikan seluruh prosedur manual sehingga kinerja UKS dapat ditingkatkan efektifitas dan efisiensinya. Untuk perancangannya digunakan Unified Modelling Language (UML) dan Entity Relationship Diagram (ERD), sedangkan metode pengembangan sistem yang digunakan adalah model prototipe.
Perancangan Sistem Evaluasi Online Dengan Fitur Link Login Instant Menggunakan Model Waterfall Imam Sutoyo
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.321 KB) | DOI: 10.31294/p.v23i1.9778

Abstract

The Covid-19 pandemic that has hit the world has an impact on the implementation of an online learning system for all levels of education. For the purposes of student evaluation, of course, an online evaluation system is needed. At the basic education level, the online evaluation system must be specially designed by prioritizing the ease of students accessing and carrying out evaluations. Therefore, research is needed to design an online evaluation system that is easy to use and flexible. This study aims to design an online evaluation system that can be accessed by students by simply clicking a link. So students do not need to create an account and use it to access teacher evaluations. The expected result of this research is a system that makes it very easy, especially for students at the basic education level so that all students can follow all evaluations given by the teachers easily and flexibly. Unified Modeling Language is used to make the design, while the method for system development used is the waterfall model.
Penerapan Algoritma Nearest Neighbour untuk Menyelesaikan Travelling Salesman Problem Imam Sutoyo
Paradigma Vol 20, No 1 (2018): Periode Maret 2018
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.882 KB) | DOI: 10.31294/p.v20i1.3155

Abstract

Traveling Salesman Problem (TSP) is a problem that has gained much attention from researchers in the field of computer science and mathematics. Many algorithms have been introduced to solve this TSP problem. The solution to be obtained is the optimal solution in the sense of getting the shortest route that can be used to visit all points once only then back to the starting point of the journey. This paper discusses the application of one of the algorithms to obtain solutions for TSP problems, ie Nearest Neighbors (NN) algorithm. The application of the NN algorithm to solve TSP problems proved to be efficient even though there is no guarantee that the solution provided is the most optimal solution.
PERANCANGAN SISTEM INFORMASI PENERIMAAN SANTRI BARU MENGGUNAKAN MODEL WATERFALL Imam Sutoyo
INTI Nusa Mandiri Vol 14 No 1 (2019): INTI Periode Agustus 2019
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1211.702 KB)

Abstract

Kegiatan Penerimaan Santri Baru (PSB) merupakan kegiatan administrasi rutin yang dilaksanakan oleh pesantren pada setiap pembukaan tahun ajaran baru. Kegiatan PSB yang dilaksanakan hanya menggunakan prosedur manual mengalami banyak kendala. Oleh karena itu, diperlukan sistem informasi berbasis komputer untuk mengatasi kendala-kendala tersebut. Penelitian ini bertujuan untuk mengembangkan Sistem Informasi PSB menggunakan metode waterfall. Hasil dari penelitian ini adalah Sistem Informasi PSB yang dapat diterapkan secara praktis di lembaga pendidikan berbasis pesantren untuk mengatasi kendala-kendala pada pemrosesan manual sehingga dapat meningkatkan pelayanan data dan informasi kepada seluruh stakeholder pesantren.
PERANCANGAN SISTEM INFORMASI PEMBAYARAN SPP TERPADU MENGGUNAKAN MODEL PROTOTIPE Imam Sutoyo
INTI Nusa Mandiri Vol 14 No 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1125

Abstract

SPP payment has become a main administrative activity in every educational institution, including Islamic Boarding School. SPP payment made only using manual procedures experience many obstacles. Therefore, a computer-based information system is needed to overcome these obstacles. This study aims to develop an SPP Payment System using the prototype model. The objective of this study is an Information Systems that can be applied practically in Islamic Boarding School to overcome obstacles in manual processing so as to increase the effectiveness and efficiency of the administration of SPP payments.
KAJIAN PENGGUNAAN PACKET FILTERING FIREWALL MENGGUNAKAN CISCO IP ACCESS CONTROL LIST Imam Sutoyo; Mochamad Wahyudi
Paradigma Vol 11, No 3 (2009): Periode September 2009
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (121.191 KB) | DOI: 10.31294/p.v11i3.4732

Abstract

A computer network has become a necessity for any organization implementing a computer-based information system. Hence, keeping the security aspect is important to maintain the network performance so as to provide optimum service to its users and to be up against any attacks especially when it is connected to the Internet. This paper is intended to give input to computer network administrators who implement IP Access Control List (ACL) network security system as firewall. Itdiscusses the strengths and vulnerabilities of packet filtering firewall using Cisco IP Access Control List (ACL). The findings of this study will give computer network administrators better understanding on implementing Packet filtering firewall with Cisco IP ACL and comprehending the potential security holes due to its vulnerabilities.Keywords : Vulnerabilities, Packet Filtering Firewall, Cisco IP Access Control List (ACL), Cracker
Perancangan Sistem Informasi Perekaman Presensi Dan Absensi Siswa Menggunakan Model RAD Yuli Komalasari; Imam Sutoyo; Surtika Ayumida
Jurnal Infortech Vol 5, No 1 (2023): JUNI 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v5i1.15779

Abstract

Kegiatan perekaman presensi dan absensi siswa yang biasanya dilaksanakan oleh guru atau petugas piket merupakan kegiatan vital dari operasional sebuah sekolah dalam rangka mendisiplinkan siswa. Oleh karena itu, kegiatan ini perlu ditingkatkan efektifitas dan efisiensinya. Salah satu permasalahan yang menghambat kinerja petugas piket adalah pemrosesan data dan informasi secara manual dikarenakan belum adanya sistem yang terkomputerisasi. Penelitian ini bertujuan untuk merancang sistem informasi perekaman presensi dan absensi yang nantinya dapat dibangun menjadi sebuah Minimum Viable Product (MVP) yang akan menggantikan seluruh prosedur manual sehingga kinerja petugas piket dapat ditingkatkan efektifitas dan efisiensinya. Untuk perancangannya digunakan Unified Modelling Language (UML) dan Entity Relationship Diagram (ERD), sedangkan metode pengembangan sistem yang digunakan adalah model RAD (Rapid Application Development). 
Perancangan Sistem Prediksi Deteksi Alzheimer Berbasis Random Forest Menggunakan Metode Scrum Daira Syahfitri; Dian Rahayuningtyas; Raihano Garcia; Syifa Nur Rakhmah; Findi Ayu Sariasih; Imam Sutoyo
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/gkep7058

Abstract

Alzheimer's disease is a neurodegenerative characterized by a gradual decline in memory and cognitive function, with a prevalence that continues to increase globally and in Indonesia. Constraints in early detection, such as limited healthcare facilities and the high cost of conventional diagnosis, drive the need for easily accessible technology-based solutions. This research aims to develop a web system named MindCare that integrates the Random Forest algorithm to predict the risk of Alzheimer's based on clinical and lifestyle data. The system development method uses the Agile Scrum approach with four sprint cycles, covering needs analysis, model training, web system integration, as well as testing and refinement. The model was trained using Alzheimer's and mental health datasets from Kaggle, with evaluation results showing perfect accuracy and AUC (100%). The features FamilyHistoryAlzheimers, Age, and PhysicalActivity proved to be the most influential in prediction. The resulting web system provides risk prediction features, result visualization, personalized prevention recommendations, and education about Alzheimer's. Black-box testing showed all functions worked as expected. The conclusion of this research is that the MindCare system is suitable for use as an easily accessible medium for early detection and education on Alzheimer's, with recommendations for further development through database expansion, exploration of other algorithms, and the addition of consultation and monitoring features
Pengembangan Sistem Prediksi Risiko Gangguan Mental Remaja Menggunakan Support Vector Machine (SVM) Anisya Septianur; Elsya Bani Aulia; Nugroho Fathul Aziz; Findi Ayu Sariasih; Syifa Nur Rakhmah; Imam Sutoyo
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/zh47p731

Abstract

Adolescent mental health has become an increasingly critical issue due to the rising prevalence of emotional and behavioral disorders among young individuals. Social pressure, academic demands, and psychological changes often trigger stress, anxiety, and even depression, which affect learning activities and social interactions. This study aims to develop a web-based system to detect mental disorder risk in adolescents using a machine learning approach with the Support Vector Machine (SVM) algorithm. Three open datasets from the Kaggle platform—Big Five Personality Test Dataset, Symptom2Disease Dataset, and Mental Health in Tech Survey Dataset—were utilized to integrate personality traits, physical conditions, and mental health indicators. The data underwent preprocessing involving duplicate removal, missing value imputation, standardization, and categorical-to-numerical transformation before being split into 70% training and 30% testing sets. The system was developed using the Agile Scrum methodology in an iterative and adaptive manner based on user feedback. The experimental results show that the SVM model with an RBF kernel achieved 91.3% accuracy, 89.7% precision, and 91.9% F1-score. The resulting system, can classify mental disorder risk levels and provide prevention recommendations according to the assessment results. With an interactive interface, this system is expected to assist adolescents in recognizing their mental conditions early, increase awareness of psychological well-being, and serve as a technologybased educational tool for mental health prevention.