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Application Development of Coronary Heart Disease Expert System Using Android-Based Agile Scrumban Method Untung Suropati; Rasiban; Dadang Iskandar Mulyana
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. S1 (2024): Special Issue
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1iS1.77

Abstract

The purpose of the research is to develop an application for coronary heart disease diagnosis expert system using the Android-based Agile Scrumban method. Coronary heart disease is one of the causes of death in the world, so an effective and efficient application is needed in providing information and early diagnosis as well as early symptoms so that it can save many lives. The Agile Scrumban method was chosen because of its flexibility in project management and its ability to handle changes in user needs quickly. The application is developed with requirements analysis, interface design, implementation, and testing. The application developed can make it easier for users to access information related to symptoms, risk factors, and recommendations for actions that need to be taken. The results of the study show that the application has succeeded in providing an accurate initial diagnosis and getting a positive impact response from users. Community diagnostic applications can be more aware of the risk of coronary heart disease and take the necessary preventive steps. This study shows the potential of the application of information technology in the health sector to increase awareness and handle coronary heart disease more efficiently. Android-based applications can make it easier for users of coronary heart disease to make it more efficient because they can be used on android devices.
PENGENDALIAN PENCEMARAN AIR BERBASIS IOT MENGGUNAKAN ALGORITMA NAIVE BAYES PADA SUNGAI CILIWUNG KALIMALANG JAKARTA TIMUR Rasiban Rasiban; Alaqsha Gilang Imantara; Mesra Betty Yel; Dadang Iskandar Mulyana
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 1 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/rexwen75

Abstract

Penelitian ini mengembangkan sistem monitoring kualitas air berbasis Internet of Things (IoT) di sungai Cisadane dan Ciliwung yg mengalir diwilayah Kota Bogor. Sistem ini menggunakan mikrokontrolerArduino ESP32 dan platform Blynk untuk memantau parameter suhu, pH, Total Dissolved Solids (TDS) secara real-time yang kemudian diolah hasilnya menggunakan algoritma Naives Bayes. Sensor-sensor dikalibrasi untuk memastikan akurasi dan evaluasi kinerja menggunakan Mean Absolute Percentage Error menunjukkan hasil baik, khususnya pada sensor pH dan TDS. Pengujian lapangan dilakukan pada kondisi cuaca hujan dan panas untuk menilai stabilitas pengukuran. Hasil menunjukkan nilai TDS lebih tinggi pada kondisi panas, pH lebih tinggi saat hujan, sedangkan suhu relatif stabil. Sistem ini memungkinkan masyarakat memantau kualitas air secara mandiri melalui aplikasi, serta mendukung pengelolaan sumber daya air yang berkelanjutan. Implementasi ini menunjukkan potensi teknologi IoT dalam meningkatkan kesadaran dan partisipasi masyarakat terhadap kualitas lingkungan lokal. Kata Kunci: IoT, ESP32, Kualitas Air Limbah, TDS, pH, Blynk Naive Bayes, Monitoring Real-time, Klasifikasi Air.  
IMPLEMENTASI SISTEM KASIR PINTAR BERBASIS WEB PADA UMKM SEBLAK REYHAN KAMPUNG MELAYU JAKARTA TIMUR Aulia Maulida; Mesra Betty Yel; Rasiban
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomer 03, September 2026 Publication
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.65661

Abstract

The development of information technology currently has an important role in improving the effectiveness and efficiency of business management, especially for Micro, Small, and Medium Enterprises (MSMEs). The use of information technology not only assists in data processing but also supports faster, more accurate, and more structured services. Seblak Reyhan MSME, which operates in the culinary sector, still faces several obstacles in service processes and business management because the system used is still manual. The processes of recording transactions, managing stock, and preparing sales reports are considered less effective, time-consuming, and prone to data recording errors. This study aims to design and implement a Web-Based Smart Cashier System at Seblak Reyhan MSME, Kampung Melayu, East Jakarta, to assist in sales transactions, product data management, stock recording, and automatic report generation. The data collection methods used in this study were observation, interviews, and literature study. Meanwhile, the system development method used was the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The result of this study is a web-based smart cashier system capable of helping business owners and cashiers perform sales transactions more effectively and efficiently. The developed system can simplify product data management, accelerate transaction processes, reduce recording errors, and generate sales reports automatically and systematically. With the implementation of this system, it is expected to improve service quality and support better and more modern business management at Seblak Reyhan MSME.
Implementation of an IoT-Based Automatic Fish Seed Counting System Using NodeMCU ESP8266 with Telegram Notifications at Srikandi Fresh Fish MSME Putri Cahyani Sinaga; Rasiban Rasiban
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8206

Abstract

The counting of fish seeds at Srikandi Fresh Fish MSME is currently conducted through visual manual calculation, which is prone to human error, requires considerable operational time, and hinders accurate real-time inventory recording. To address these operational constraints, this research implemented an automated, Internet of Things (IoT)-based fish seed counting system using the NodeMCU ESP8266 microcontroller integrated with Google Sheets and a Telegram Bot service. The study utilized the Design Science Research (DSR) methodology, encompassing problem identification, objective definition, architectural design and development, artifact demonstration, functional evaluation, and communication. The developed hardware prototype incorporates an infrared sensor placed along a single-lane counting mechanism to detect individual passing fish seeds, an I2C-interfaced 16×2 liquid crystal display for local output, and NodeMCU ESP8266 as the core processing and communication unit. Telemetry data are logged automatically into Google Sheets via Google Apps Script and subsequently relayed to business operators as instant mobile notifications through a dedicated Telegram Bot after an inactivity period of 30 seconds. Functional validation using black-box testing confirmed that all hardware interfaces and software automated procedures operated as intended. Across 30 experimental trials involving varying seed densities, the counting mechanism achieved an average accuracy rate of 87.01% with an overall error margin of 12.99%, primarily attributed to occasional overlapping during high-density passages. The integrated cloud system also proved reliable during continuous operation, successfully reducing manual recording delays and providing an efficient, automated inventory monitoring solution for aquaculture small businesses.
Co-Authors Ade Septiansyah Adnan, Kemal Agistia Yuliawati Alaqsha Gilang Imantara Amalia, Ghina Arjun Fricco Arpinda, Arpinda Aryanti, Putri Gea Asep Maulana Aulia Maulida Aulia, Mutia Dwi Banase, Samuel Figo Beatrice Yrain Bening Sari Purnomo Betty Yel, Mesra Bila, Septiyana Bimantoro, Dava Sevtiandra Boangmanalu, Raya Fitri Dadang Iskandar Mulyana` Dava Sevtiandra Bimantoro Evan Donaldo Febryan Bayu Pratama Feni Citra Dewi Hanif, Zuhdi Hendra Ekky Saputra Hermawan Susanto Hutagalung, Julinar Sari Ikha Novie Tri Lestari Imam Muftadi Julinar Sari Hutagalung Kurniawan Setyo Nugroho Megawati - Megawati Megawati Miftahul Jannah Ahyana Puteri Kharisha Muhammad Alfin Najib Muhammad Fakhri Pratama Muhammad Ilham Fadillah Muhammad Jardine Ramaddhani Mukminin, Mukminin Najib, Muhammad Alfin Nugraha, Pramudya Nunung Parawati Paidi, Imam Pradita, Anggi Pramudya Nugraha Puteri Kharisha, Miftahul Jannah Ahyana Putri Amira Sumitro Putri Cahyani Sinaga PUTRI WULANDARI Rachmat Hidayat Insani Radikto Radikto Rahmah, Andini Raya Fitri Boangmanalu Rizki Ananda Pratama Rizki Ananda Pratama Rudi Tri Jaya S Sutisna Samuel Figo Banase Samuel Praja Raymond Maruli Saputra, Hendra Ekky Sarimole, Frencis Matheos Sartika Mala Senika, Anis Septi Hasanah Setya Permana Sutisna SOPAN ADRIANTO Sri Lestari Sugeng Riyadi Sumabrata, Raden Muhammad Jachfitrah Ardhi Suropati, Untung Sutisna Sutisna Sutisna Sutisna Tanjung, Cici Yolanda Tri Agus Setiawan Tri Wahyudi Tri Wahyudi Tri Wahyudi Tri Wahyuni Triwahyudi, Triwahyudi Tundo, Tundo Untung Suropati Untung Suropati Veren Nita Permatasari Wahab, Adnan Wahyu Saputro Wahyudi, Ahmad Arif Yansen Yansen Yuliansyah, Ahmad Fauzan Yusuf Pascal Ramadhan