Article Per Year (5 Year)
p-Index From 2021 - 2026
1.203
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) Jurnal Media Computer Science Prosiding Seminar Nasional Official Statistics Dedikasi : Jurnal Pengabdian Lentera
Setiawan, Iman
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Digitalisasi UMKM BatikRin Meningkatkan Daya Saing melalui Konten Digital dan Seminar Pemasaran Digital Husein, Abid; Setiawan, Iman
Dedikasi: Jurnal Pengabdian Lentera Vol. 1 No. 09 (2024): Oktober 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v1i09.543

Abstract

Digitalisasi telah menjadi bagian integral dalam pengembangan UMKM untuk meningkatkan daya saing, terutama di era pasar digital. Program ini berfokus pada pengembangan konten digital (foto dan video) untuk produk UMKM Batikrin di Kabupaten Bekasi dan inisiasi seminar bertema "Strategi Efektif dalam Promosi dan Penjualan di Marketplace." Seminar bertujuan memberikan wawasan tentang pemanfaatan marketplace sebagai sarana promosi dan penjualan. Melalui pendekatan pelatihan, pendampingan, dan diskusi interaktif, kegiatan ini meningkatkan keterampilan pelaku UMKM dalam pemasaran digital. Hasil menunjukkan adanya peningkatan pemahaman peserta dan dampak positif pada strategi pemasaran digital mereka.
Comparative Study of MySQL and MongoDB Performance on Node.js REST API Using Chinook Database Setiawan, Iman
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8870

Abstract

Kebutuhan akan sistem manajemen basis data (Database Management System) yang efisien dan optimal semakin penting, terutama dalam pengembangan aplikasi berbasis REST API. Penelitian ini bertujuan untuk mengevaluasi dan membandingkan performa dua jenis DBMS yang umum digunakan, yaitu MySQL (relasional) dan MongoDB (non-relasional), ketika diimplementasikan dalam REST API berbasis Node.js. Pengujian dilakukan di lingkungan server nyata untuk mencerminkan kondisi operasional sesungguhnya, menggunakan alat Apache JMeter dengan empat parameter utama, yaitu processed requests, response time, throughput, dan error rate. Data yang digunakan bersumber dari Chinook Database yang telah diperbanyak hingga mencapai 10.000 entri, dan diuji dengan beban pengguna virtual sebanyak 50 dan 100 pengguna selama 120 detik, dengan skenario yang telah diatur. Hasil penelitian menunjukkan bahwa MySQL unggul pada hampir seluruh parameter, dengan processed requests tertinggi (64.098 permintaan), response time terendah (135 ms), dan throughput terbesar (532 permintaan/detik), serta tanpa error. Sebaliknya, MongoDB mencerminkan karakteristik arsitektur non-relasional yang lebih dinamis, namun menunjukkan performa yang lebih rendah pada skenario pengujian ini. Kesimpulan dari penelitian ini menyatakan bahwa pemilihan DBMS harus disesuaikan dengan kebutuhan aplikasi, di mana MySQL lebih cocok untuk pengolahan data yang terstruktur dan konsisten, sedangkan MongoDB lebih sesuai untuk data semi-terstruktur atau tidak terstruktur yang berkembang secara dinamis.
Automatic Plant Watering System for Local Red Onion Palu using Arduino Setiawan, Iman; Junaidi, Junaidi; Fadjryani, Fadjryani; Amaliah, Fika Reski
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.813

Abstract

Central Sulawesi Province in Indonesia has great potential for horticultural commodities, namely local red onion Palu. In the current climate change, local farmers are still watering plants in the conventional way. The automatic watering system simplifies the work of local farmers. This device uses a soil moisture sensor as a soil moisture detector and Arduino as a program brain. This study aims to determine the position of soil moisture sensor, the optimal length of watering time and analyze the quality of data stored. The experiment was carried out using a Completely Randomized Design (CRD). The position of the soil moisture sensor was analyzed by Profile Analysis. The optimal length of watering time was determined by Analysis of Variance (ANOVA) and Least Significant Difference (LSD). The quality of data stored was determined by a number of missing values and frequency of watering. The results showed that in soil planting media the position of soil moisture sensor had no significant effect, while in others planting media (water and combination of water and soil) the position of the sensor had a significant effect. The optimal watering time was 3 seconds. The stored data has low quality in terms of missing values and lack of consistency.
Internet of Things (IoT) for Soil Moisture Detection Using Time Series Model Setiawan, Iman; Junaidi, Junaidi; Fadjryani, Fadjryani; Amaliah, Fika Reski
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.951

Abstract

Technology in agriculture has been widely and massively applied. One of them is automation technology and the use of big data through the Internet of Things (IoT). The use of IoT allows a process to run automatically without human intervention. Extreme weather changes and narrow land use are one of the main problems in agriculture. The development of IoT devices has been widely developed regarding this subject. One of them is a soil moisture detection system. This study aims to build an IoT soil moisture detection system. The system will use a sensor as input which is then processed in a microcontroller device and the prediction results are sent to the IoT cloud platform. Prediction results are obtained using a time series model and then its performance is evaluated using RMSE. This model was chosen because the structure of the observed soil moisture data is based on time. The results of this study indicate that the soil moisture IoT system can work well. This is supported by the results of the prediction evaluation value of the RMSE = 1.175682x10-5 model which is very small.
Mengukur Ketahanan Ekonomi Sulawesi Tenggara 2017-2023 Putri, Novia Dwi Kumala; Wulandari, Dyah Kusumaning Ayu; Setiawan, Iman
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2362

Abstract

Economic resilience emerged as a key concern for the government facing shocks from the COVID-19 pandemic and the Russia-Ukraine conflict. The economic resilience refers to a region's ability to bounce back quickly from economic challenges. Although Southeast Sulawesi's economic growth improved, the percentage of poor people increased during 2020-2023, signaling false economic resilience. The objective of this study is to assess the degree of economic resilience of Southeast Sulawesi through the Index of Economic Resilience (IKE) formed using factor analysis of panel data in 17 districts from 2017-2023. The results indicate the formation of three dimensions that make up the IKE, namely human capabilities, economic transformation, and income inequality. The average IKE value of the Southeast Sulawesi ranged from 0,29 to 0,40, indicating a gradual improvement in economic resilience. However, there is still an imbalance in the IKE between regions. Industrial downstreaming is one of the policies that should be considered to optimize economic resilience.
Co-Authors Amaliah, Fika Reski Andi Ferosita Sustrisno Fadjryani, Fadjryani Husein, Abid Junaidi Junaidi Putri, Novia Dwi Kumala Rais Wulandari, Dyah Kusumaning Ayu