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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Technomedia Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma JISICOM (Journal of Information System, Infomatics and Computing) Journal of Students‘ Research in Computer Science (JSRCS) International Journal of Information Technology and Computer Science Applications (IJITCSA) Siber International Journal of Digital Business Journal of Informatics and Information Security Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Noeman, Achmad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media

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Fire Detection System Using Android-Based Microcontroller Jani, Akbar Rafni Rafsan; Handayani, Dwipa; Noeman, Achmad
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3074

Abstract

The Fire Detection System can be supported by Internet of Things technology, e.g. a Microcontroller device which is used to control the related devices. In this study, android-Based fire detection system was designed in which the house owner can always monitor the condition of the house all the times and accessing the information about their house when a fire occurs until the fire suppression process is complete. Information of the house condition will be displayed on the Blynk application which is located in the kitchen area and is connected to several supporting sensors. The design of a Fire Detection System Using an Android-Based Microcontroller is divided into several stages, namely: (1) Requirement Identification; (2) Requirement Analysis;(3) Hardware Design; (4) The software design (Arduino IDE 1.8.5 and Blynk). The testing results showed that the android-based Fire Detection System Using Microcontroller was able to provide information to residents of the house in the real-time.
Expert System for Chiller Machine Damage Detection Using Forward Chaining Algorithm Noeman, Achmad; Adriansyah, Atsal; Hiswara, Abrar; Hartanti, Dian; Kustanto, Prio; Hafizah, Hafizah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9488

Abstract

The causes of damage to the chiller machine can be sorted in a logical sequence to find the cause of damage to the chiller machine, so that users can immediately find out the cause of the existing damage. An expert system is a computer program that contains knowledge from one or more human experts about a specific field. With this system, it is hoped that users can easily find out about damage and how to handle it on the machine. Observations were carried out directly on the research object, namely PT Indofood CBP, because the way to observe the research object is to understand the needs of the research object so that the system built can meet the needs of the user concerned. Starting from minor problems to serious problems, apart from that, we also test the running of the chiller until the operation of every machine that requires supply from this chiller machine. This system was created with the aim of making it easier for users if they experience difficulties in carrying out repairs or troubleshooting the chiller machine. So that you can get solutions based on previous experiences carried out by Engineers. After collecting analytical data to overcome troubleshooting, the design stage is carried out to create an expert system for detecting damage to machines and how to handle repairs based on the experience that has been provided.
Employee Work Schedule Presence System Application Design at PT. Tasya Putry Mandiri Uses Genetic Algorithm Method Noeman, Achmad; Rahman Fauzi, Denny; Hartanti, Dian; Hiswara, Abrar; Kustanto, Prio; Hafizah, Hafizah; Mayadi, Mayadi; Lubis, Hendarman
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 1 (2024): (SIJDB) Siber International Journal of Digital Business (July - September 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i1.79

Abstract

Employee scheduling planning is a problem faced by many companies that have many employees. The traditional scheduling process is carried out by recording employee data one by one and collecting them in the form of an Excel report which is inefficient and takes a lot of time. Apart from that, to match the schedules, management needs to take great pains to arrange shift times so that they match and do not conflict between one shift schedule and another shift schedule. This method is very inefficient because it takes a long time if it turns out there is an error in the schedule. A popular method for making schedules is to use a genetic algorithm which is able to arrange schedules using a random approach to find schedule solutions that are most effective and do not collide with each other. Research was conducted to create a schedule from a list of existing employees. As a result, the schedule produced using a genetic algorithm was proven to be more optimal and faster.
Analisa Perancangan Sistem Informasi Dengan Fitur Rekomendasi Menggunakan Algoritma Apriori Fathurrozi, Ahmad; Hariyanto; Prio Pamungkas, R Wisnu; Kustanto, Prio; Noeman, Achmad; Handayani, Dwipa
Technomedia Journal Vol 8 No 2 Oktober (2023): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v8i2.2003

Abstract

This Ilham Green Shop has just started an online business by selling types of plants which are a growing business area now, but this Ilham Green Shop only has a few buyers, this is because the Ilham Green Shop has not been seen or heard among the public, so it is necessary a sales information system with a recommendation feature built using the PHP and MySQL programming languages and tested by the blackbox - testing method. Data collection techniques used are observation, interviews, and literature study. For processing sales transaction data using the Apriori Algorithm to get more accuracy in the process of processing data on the plant sales information system to find data on the best-selling plant products and see the buying pattern of a buyer by calculating the minimum support value and minimum confidence value to determine the association rules for a combination of itemset. . The results of the Apriori Algorithm calculation in this sales information system with sales transaction data from 03 December 2021 – 30 May 2022 obtained from Ilham Green Shop obtained the lift test value of 1.55 using the minimum support value = 10%, the minimum confidence value = 40% who form association rules with a confidence value of 93.55%. From these results it can be concluded, by processing plant product data with the Apriori Algorithm, it is able to provide good plant recommendations, so Ilham Green Shop can determine a strategy by multiplying the best-selling plant nurseries to get a lot of profit and recommending them to attract buyers' interest.
Sistem Informasi Navigasi Wisata Kota Jakarta untuk Menentukan Rute Tercepat Menggunakan Algoritma Dijkstra Berbasis Web Syaumi, Muhammad Rizki; Noeman, Achmad; Setiawati, Siti; Kustanto, Prio; Achmad, Noeman
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/c9by2m49

Abstract

This study aims to design a web-based tourism navigation information system using Dijkstra’s algorithm to determine the fastest rout in Jakarta City. The proposed navigation system assists tourist in planning their trips more efficiently by providing real-time information on the fastest routes, travel distances, and estimated traviel times. By implementing Dijkstra’s algorithm, the system calculates the optimal route based on the starting location from the user’s device and destination data stored in the database. This research employs the waterfall system development method, which inludes the stages of analysis, design, implementation, and testing. The testing results demonstrate that the system accurately provides the fastest routes, enhancing convenience and travel efficiency for tourist.
Aplikasi Sistem Pakar Diagnosa Penyakit Pada Kucing Menggunakan Algoritma Certainty Factor Berbasis Web Handayani, Dwipa; Mahbub, Asep Ramdhani; Noeman, Achmad; Febian, Guruh Putra; Lubis, Hendarman
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2071

Abstract

This web-based expert system for diagnosing cat diseases is designed to provide fast and accurate diagnoses. Cat owners can input observed symptoms, which are then analyzed using the Certainty Factor algorithm to calculate the likelihood of possible diseases. Based on test data, the system achieves up to 90% accuracy for common diseases such as Feline Panleukopenia Virus and Feline Calicivirus. The algorithm handles uncertainty by generating values between 0 and 1, indicating the confidence level of each diagnosis. Built with PHP and MySQL, the system is accessible in real-time through a responsive web interface. This enhances the efficiency of disease diagnosis and reduces the reliance on veterinarians for initial assessments. Moreover, the system contributes to the advancement of expert system technology in animal health by integrating the proven effectiveness of the Certainty Factor algorithm.
SISTEM INFORMASI PENJUALAN BATU KAPUR MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA CV. XYZ BERBASIS WEB Noeman, Achmad; Lubis, Hendarman
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 6 No 2 (2019): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v6i2.323

Abstract

Perkembangan bidang teknologi informasi berkembang sangat cepat. Perusahaan yang bergerak dibidang jasa atau penjualan akan selalu berinovasi dalam menghadapi persaingan dengan memanfaatkan fasilitas teknologi yang berkembang saat ini. Sistem informasi penjualan menggunakan teknologi berbasis web dapat memberikan kemudahan admin dalam pencatatan data-data penjualan agar proses pembuatan laporan penjualan lebih mudah serta memberikan kemudahan kepada pelanggan untuk melakukan transaksi pembelian batu kapur. Penelitian ini menggunakan metode waterfall yang bertujuan dalam proses pengembangan perangkat lunak berurutan, di mana kemajuan dipandang sebagai terus mengalir ke bawah melewati fase-fase perencanaan, pemodelan, implementasi, dan pengujian. Dengan memanfaatkan teknologi berbasis web bagi perusahaan akan memudahkan dalam membuat laporan, menghindari kehilangan data penjualan serta mempermudah dalam memberikan informasi penjualan batu kapur. Kata Kunci : Teknologi Informasi, Teknologi Berbasis Web, Sistem Penjualan, metode waterfall.
Implementasi Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Laptop Berbasis Web: Studi Kasus Layanan Servis Laptop Permadi, Dimas; Kustanto, Prio; Yasir, Muhammad; Noeman, Achmad; Hidayat, Agus; Handayani, Dwipa
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/paw2f574

Abstract

Laptop damage diagnosis at PT Tsurtech Solution is currently carried out manually, which can take more time and requires the technician's experience to identify problems accurately. This research aims to design and implement a web-based expert system to assist in diagnosing laptop damage based on symptoms inputted by users. The system is developed using the Forward Chaining algorithm, a data-driven reasoning method that matches facts (symptoms) with a set of predefined rules to conclude the type of damage. The system is built using the Waterfall development method, assisted by UML diagrams, and implemented with PHP programming language and MySQL database. Blackbox Testing is used to evaluate the system’s functionality. The results show that the system can be used as a supporting tool to help both users and technicians perform initial laptop damage diagnosis more quickly and efficiently.    
Sistem Informasi Pengarsipan Berbasis Web Mengunakan Algoritma Levenshtein Distance noeman, achmad; Hidayat, Agus; R. Dwiyanto, Arif; Hoki Rezky, Mohammad
Jurnal Riset Informatika dan Teknologi Informasi Vol 3 No 2 (2025): Desember 2025 - Maret 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v3i2.225

Abstract

This study proposes the development of a web-based archiving information system at PMI Jakarta City, supported by the Levenshtein Distance algorithm as the core feature for document retrieval. The system is designed to overcome the limitations of manual archiving methods, such as restricted search capabilities, potential recording errors, and the risk of losing physical records. By adopting the Waterfall approach, the research was conducted through several stages: requirements analysis, interface design, implementation, and system testing. The results demonstrate that the Levenshtein Distance algorithm effectively improves the accuracy of document searches, even when spelling variations or typographical errors occur in the query. This makes the system more adaptive and efficient compared to traditional manual methods. Furthermore, the implementation of a web-based system reduces reliance on physical archives, enhances storage security, and accelerates information access. Overall, the developed system provides a practical and modern solution to support document management at PMI Jakarta City.
NeoCare: Telehealth System with Intelligent Notification for Neonatal Care Munandar, Tb Ai; Sri Lestari, Tyastuti; Noeman, Achmad
International Journal of Information Technology and Computer Science Applications Vol. 3 No. 3 (2025): September - December 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v3i3.239

Abstract

Neonatal mortality in low- and middle-income countries remains high, partly because early physiological deterioration is detected late and continuous monitoring is limited outside specialized units. To address this gap, this study presents NeoCare: Telehealth System with Intelligent Notification for Neonatal Care, a multi-actor platform that integrates neonatal data management, vital-sign monitoring, and machine-learning–based alerts. The research followed a software engineering approach comprising stakeholder and context analysis, requirements engineering, clinical data acquisition, system and database design, intelligent notification model design, and prototype implementation. Retrospective neonatal records from two Indonesian referral hospitals were used to characterize heterogeneous and homogeneous clinical populations and to inform the design of classification features for vital-sign–based risk assessment. NeoCare is realized as a layered architecture with sensor, device, communication, processing-intelligence, and application layers. The prototype includes web and mobile interfaces tailored to four actor groups: hospital administrators, doctors, midwives, and parents. Administrators manage users, hospitals, vital-sign data, and machine-learning models while supervising alert output. Doctors and midwives access dashboards that display neonatal lists, detailed histories, trend graphs, and consultation management, supporting triage and longitudinal follow-up. Parents use a simplified mobile interface to view their baby’s status, monitor vital-sign trends, receive alerts, and schedule consultations. The system embeds an intelligent notification mechanism that flags abnormal patterns and presents them through color-coded indicators and concise messages. The results demonstrate the technical feasibility and coherence of a role-based, data-driven telehealth platform for neonatal care, providing a solid foundation for future work on clinical validation, device integration, and large-scale deployment.
Co-Authors Abrar Hiswara Achmad, Noeman Adriansyah, Atsal Agus Hidayat Dian Hartanti Dimas Permadi Dwipa Handayani Fathurrozi, Ahmad Febian, Guruh Putra Hariyanto Hoki Rezky, Mohammad Jani, Akbar Rafni Rafsan Kustanto , Prio Lubis, Hendarman Mahbub, Asep Ramdhani Mayadi, Mayadi Muhammad Yasir Prio Pamungkas, R Wisnu R. Dwiyanto, Arif Rahman Fauzi, Denny SITI SETIAWATI Solly Aryza Sri Lestari, Tyastuti Syaumi, Muhammad Rizki Tb Ai Munandar, Tb Ai