Article Per Year (5 Year)
p-Index From 2021 - 2026
7.868
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUITA : Jurnal Informatika MEDISAINS Sinkron : Jurnal dan Penelitian Teknik Informatika JELLT (Journal of English Language and Language Teaching) IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi EQIEN - JURNAL EKONOMI DAN BISNIS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Ilmiah Sinus JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Kepada Masyarakat (Mediteg) Buletin Ilmiah Sarjana Teknik Elektro JIKA (Jurnal Informatika) Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Joong-Ki Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi SAMBARA: Jurnal Pengabdian Kepada Masyarakat Nusantara Mengabdi kepada Negeri Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Joong-Ki Jurnal TAM (Technology Acceptance Model)
Arif Setia Sandi A.
Universitas Harapan Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 58 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 58 Documents
Search

 2   3   4   5   6 
Implementasi dan Evaluasi Kinerja Sistem IoT Multi-Sensor Berbasis ESP32 untuk Pemantauan dan Peringatan Dini Lingkungan secara Real-Time Arif Setia Sandi Ariyanto; Deny Nugroho Triwibowo; Imam Ahmad Ashari; Rito Cipta Sigitta Haryono
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9861

Abstract

Real-time environmental monitoring has become increasingly important due to growing urban and industrial activities that affect air quality, noise levels, and physical environmental stability. However, many existing monitoring systems remain relatively expensive, lack portability, and are limited to passive monitoring functions without clear performance evaluation. This study aims to implement and evaluate the performance of an Internet of Things (IoT)-based multi-sensor environmental monitoring system integrated with a mobile application and real-time early warning features. The system is developed using an ESP32 microcontroller connected to DHT22, MQ135, SW-420, and KY-037 sensors to monitor temperature, humidity, air quality, vibration, and noise levels. Sensor data are transmitted to a server via a RESTful API, stored in a MySQL database, and visualized in real time through a Flutter-based mobile application. The research adopts a Research and Development (R&D) approach, encompassing requirement analysis, system design, implementation, integration, and functional testing. The experimental results indicate that the system can transmit multi-sensor data reliably with low response time, present environmental information in real time, and consistently deliver early warning notifications when environmental parameters exceed the defined threshold values. This study contributes by providing a practical and replicable performance evaluation of an IoT-based multi-sensor system suitable for small-scale environmental monitoring.
Sistem Informasi Penjualan dan Pemesanan Online Berbasis Web pada Apotek Dua Farma Kiki Alfaini Nurrizki; Raden Bagus Bambang Sumantri; Arif Setia Sandi A
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp164-173

Abstract

Indonesian society increasingly relies on information technology in various aspects of life, including business and healthcare services. Pharmacies, as vital entities in healthcare, require information systems to manage data effectively. However, the Indonesian Ministry of Health states that more than 80% of healthcare facilities in Indonesia have not yet adopted digital technology, including Apotek Dua Farma, which manages 700 types of medicines and 100 manual transactions daily. This research aims to develop an online-sales and ordering information system based on a website using the Laravel framework at Apotek Dua Farma to address the difficulties in recording products and sales processes. The method used is Rapid Application Development (RAD), a fast and iterative linear sequential software development model. The research results indicate that the web-based information system developed has four types of users: admin, owner, pharmacist, and customer. This system successfully implements features such as product management, cashier system, online order processing, transaction tracking, reporting, and successfully applies the QRIS payment method. Blackbox testing shows that all features function well and meet the operational needs of Apotek Dua Farma, thereby improving the efficiency and accuracy of product recording and sales.
Klasifikasi Berisiko Stunting pada Balita: Perbandingan K-Nearest Neighbor, Naïve Bayes, Support Vector Machine Ramadya Wahyu Dwinanto; Arif Setia Sandi A; Rian Ardianto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp264-273

Abstract

Stunting in children under five is a significant health problem that impacts child development. This study aims to develop a classification model to predict stunting risk using SVM, KNN, and Naïve Bayes algorithms. Data from the Jatilawang Health Center included 523 under-fives with variables such as age, weight, length, arm circumference, z-score, parental education, and maternal health history. Following the CRISP-DM steps, the data was processed through handling missing data, feature selection, and dividing the data into training and testing sets with a ratio of 80:20. Results showed SVM had the highest accuracy of 90%, followed by KNN 89%, and Naïve Bayes 85%. This research produces a stunting risk prediction model that is implemented in a simple website, supporting early intervention and decision-making in stunting prevention efforts.
Klasterisasi Pemetaan Kedisiplinan Pegawai Berdasarkan Rekap Kehadiran menggunakan Algoritma Clustering K-Means Imam Ahmad Ashari; Purwono Purwono; Jatmiko Indriyanto; Arif Setia Sandi A.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp12-18

Abstract

Employee discipline is one of the key success factors in a company. Work discipline has an important role in the formation of a positive work environment. One of the things that shows employee discipline is the time of attendance. Attendance time is usually recorded at the time the employee enters and leaves. Disciplinary information can be mapped into several groupings so that it is easy for decision makers to read. One of the computational methods that can perform data mapping is the K-Means Clustering method. The K-Means Clustering method can group data based on their characteristics. In this study, attendance data were analyzed using the K-Means method to obtain disciplinary groupings. The number of Clusters is calculated using the elbow method, 3 Clusters are obtained which are the best Cluster choices, namely Clusters 0, 1, and 2. The data analysis process shows Cluster 2 is the Cluster with the best level of discipline. From the analysis, it shows that the K-Means Clustering method can classify data based on employee discipline. Based on these results, decision makers can be helped in assessing employee discipline at Universita Harapan Bangsa using the disciplinary data grouping that has been made.
Perancangan Smart Stick untuk Mobilitas Penyandang Tunanetra Berbasis Mikrokontroler Estu Prayoga; Arif Setia Sandi A; Khoirun Nisa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp210-219

Abstract

The development of assistive technology for visually impaired individuals is essential to enhance their mobility and safety. This research successfully designed and developed a Smart Stick based on a microcontroller, equipped with ultrasonic and water level sensors to detect obstacles and water puddles in real-time. The system provides immediate warnings through a speaker, allowing users to navigate their environment more effectively. The testing phase demonstrated that the ultrasonic sensor accurately detects obstacles within a range of 50–150 cm, while the water level sensor activates an alarm when the water reaches 40 mm. The results indicate that the Smart Stick is reliable in detecting obstacles and providing early warnings, improving the independence and security of visually impaired users. Future improvements may include IoT integration, Bluetooth headset compatibility, and enhanced sensor accuracy to optimize its functionality.
Implementasi Teknologi Cerdas Berbasis IoT dan Telegram untuk Monitoring Kesehatan Jantung Lintang Desy Pangesti; Arif Setia Sandi A; Rian Ardianto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp332-339

Abstract

The human heart acts as a vital organ that pumps blood throughout the body, and heart disease is the leading cause of death globally, including in Indonesia. To address this issue, this research proposes an Internet of Things (IoT)-based health monitoring system that can measure heart rate, oxygen saturation, and body temperature using MAX30100 and LM35 sensors. The system is equipped with real-time notification via Telegram and data display on an OLED screen. The method used is prototyping, with testing of sensor accuracy compared to conventional measuring instruments. The test results show good accuracy in BPM and SpO₂ measurements with an error of 5.78% and 3.6%, respectively, compared to the oximeter. However, body temperature measurement using the LM35 sensor showed an average error of 7.78%, due to the sensitivity of the sensor to ambient temperature.
Penerapan Algoritma DBSCAN dalam Mengidentifikasi Risiko Stroke Hani Istiqomah; Khoirun Nisa; Arif Setia Sandi A.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp340-349

Abstract

Stroke is a serious disease that can cause permanent disability and death. This study applies the DBSCAN algorithm to cluster Stroke risk using a public Kaggle dataset (n = 5,110), which contains demographic and clinical attributes such as age, gender, hypertension, heart disease, body mass index (BMI), glucose levels, and smoking status. Preprocessing steps included median imputation for BMI, categorical encoding, Z-score standardization, and PCA for visualization. Parameter selection was conducted using the k-distance plot and Silhouette evaluation, resulting in ε = 2.5 and min_samples = 3 with a Silhouette Score of 0.2158. The findings indicate that DBSCAN has potential to support Stroke prevention strategies, although further parameter tuning and feature optimization are required to improve clustering quality.
Integrating User Acceptance Evaluation into District-Level Mobile Health System Design for Maternal Care Arif Setia Sandi Ariyanto; Purwono Purwono; Deny Nugroho Triwibowo
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.29616

Abstract

Many mobile health information systems are developed based primarily on technical requirements, while user acceptance is often assessed only after deployment and rarely integrated into the design process. This study addresses that gap by incorporating user acceptance evaluation as a design-informed feedback mechanism in the development of a district-level mobile health information system for maternal care. An applied research approach was used through system development, pilot deployment across five sub-districts, and post-use evaluation involving 74 active users. User acceptance was assessed using structured questionnaires covering perceived usefulness, perceived ease of use, consultation feature acceptance, and automated conversational support acceptance. The results showed high overall acceptance, with direct consultation with local midwives receiving the highest score (mean = 4.41; SD = 0.52), followed by consultation routing effectiveness (mean = 4.35; SD = 0.55). Perceived ease of use was positively associated with consultation feature acceptance (ρ = 0.46, p < 0.01). Automated conversational support was positively perceived but obtained lower scores (mean = 3.92) than human-based consultation features, indicating its complementary role. These findings demonstrate that user acceptance evaluation can provide actionable evidence for iterative system refinement and support the development of context-aware mobile health systems for maternal care.
Co-Authors Agriby Diandra Chaniago Anggit Wirasto Annastasya Nabila Elsa Wulandari Apriliyanto, Erwin Arkananta, Edgina Rangga Arrofie Darmawan Ashari, Imam Ashari, Imam Ahmad Ashari Asro Nasiri Asro Nasiri Atina Salamah Aulia Zilmi Kafah, Aulia Zilmi Kafah Azhar Bashir Bambang Soedijono Bambang Soedijono Bambang Sumantri, R Bagus Cipta Sigitta Haryono, Rito Deny Nugroho Triwibowo Deny Nugroho Triwibowo Diannike Putri, Diannike Putri Dung, Le Hoang E. Ida Hidayanti Edgina Rangga Arkananta, Edgina Rangga Arkananta Esa Aditya Kurniawan, Esa Aditya Kurniawan Estu Prayoga Faizal Rizky Yuttama Fenika Bunga Prawida Suwanto Feriyanto, Yanuar Fitri Ayuningtyas Grace Maria Fitricia Panggabean Hani Istiqomah Husna, Aqmal Miftahul Iis Setiawan Mangkunegara Imam Ahmad Ashari, Imam Ahmad Indah Trivilia Indriyanto, Jatmiko Irfan Arfianto Jatmiko Indriyanto Jayusman, Hadi Khairil Anwar Khoirun Nisa Khoirun Nisa KHOIRUN NISA Kiki Alfaini Nurrizki Krisna Widi Nugraha Kristanto, Barlian Lintang Desy Pangesti Mangku Negara, Iis Setiawan Mangku Negara, Iis Setiawan Mangkunegara, Iis Setiawan Maya, Raden Ayu Aminah Ma’rifah, Atun Raudotul Muryanto, Muhammad Negara, Iis Setiawan Mangku Nugroho Triwibowo, Deny Nugroho, Agus Susilo Nur Arifin, Nur Arifin Nurrizki, Kiki Alfaini Pradestya Bima Arweina Prayoga, Estu Purwono Purwono, Purwono Purwono, Purwono Putri, Diannike Raden Bagus Bambang Sumantri Ramadya Wahyu Dwinanto Ramadya Wahyu Dwinanto Retno Agus Setiawan Rian Ardianto Rian Ardianto Rian Ardianto Ririn Damayanti Ririn Uke Saraswati Rito Cipta Sigitta Haryono riwibowo, Deny Nugroho Sandy Ferianda, Sandy Sarmin Sarmin Siti Shinta Yulistiyani, Siti Shinta Yulistiyani Slamet Slamet . Slamet Slamet Slamet Slamet Soedjatmoko Soedjatmoko Sony Kartika Wibisono Sony Sonjaya Sri Winda Hardiyanti Damanik susilo nugroho, agus Susilo Rini, Susilo Trivilia, Indah Triwibowo, Deny Nugroho Widadi, Budi Winda Neri Sari Wirasto, Anggit Yanuar Feriyanto Yayu Sri Rahayu, Yayu Sri Yusuf Fadlila Rahman