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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Resona : Jurnal Ilmiah Pengabdian Masyarakat JUTIM (Jurnal Teknik Informatika Musirawas) Building of Informatics, Technology and Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) TEPIAN Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Informatika dan Teknologi Pendidikan Jurnal Informatika Polinema (JIP) JSE Journal of Science and Engineering
Arbansyah, Arbansyah
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Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Transportation Other

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ANALISIS PENYAKIT PADA TUMBUHAN HIDROPONIK SELADA MENGGUNAKAN METODE FORWARD CHAINING Huda, Khoirul Huda Dwi Putra; Arbansyah, Arbansyah; Yulianto, Fendy
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 18 No. 2 (2024): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v18i2.14957

Abstract

This research, titled "Analysis of Diseases in Hydroponic Lettuce Plants Using the Forward Chaining Method," focuses on the process of identifying diseases in hydroponic lettuce plants through an expert system. Hydroponic lettuce plants can be affected by various diseases such as soft root, root rot, yellowing leaves, and others. Therefore, there is a need to facilitate farmers and laypeople in detecting diseases in hydroponic lettuce plants and easily identifying them by simply answering diagnostic questions about the disease symptoms. This research develops the results of the disease analysis in hydroponic lettuce plants using the Forward Chaining method through an expert system. The Forward Chaining method is used due to its high effectiveness and accuracy in identifying diseases through IF-THEN Rule s by finding facts from the established Rule s. The data presented includes disease data and symptom data obtained from hydroponic lettuce cultivation on Jalan Muang RT 47 Lempake. This research involves data collection, data analysis, and BlackBox testing. The development of the website for analyzing diseases in hydroponic lettuce plants using the Forward Chaining method employs PHP, HTML, CSS, and MySQL programming languages. The results of this research are satisfactory because the Forward Chaining method can accurately detect diseases, and the website runs smoothly and also got an accuracy of 79,16% on the calculation system using the website.
SOSIALISASI PELAPORAN PERPAJAKAN BAGI BUMDES DAN PELAKU UMKM BERBASIS IT DI DESA LOA DURI ULU Fauziah, Fenty; Yamin, Bun; Arbansyah, Arbansyah; Askiah, Askiah; Hadiyanti, Sofia Ulfa Eka
RESONA : Jurnal Ilmiah Pengabdian Masyarakat Vol 8, No 1 (2024): June
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) Universitas Muhammadiyah Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35906/resona.v8i1.1016

Abstract

Untuk meningkatkan kemampuan pengusaha mikro kecil dan menegah di Desa Loa Duri Ulu, BUMDES dan pelaku UMKM diberi sosialisasi dan pelatihan keterampilan sistem pelaporan perpajakan pada tanggal 18 Maret 2022, sebelum tanggal terakhir pelaporan perpajakan. Dosen di tim pengabdi memiliki pengetahuan, keahlian, dan pengalaman dalam perpajakan. Tujuan pelatihan ini, khusus untuk BUMDes dan pelaku UMKM, adalah untuk meningkatkan kemampuan mereka untuk melaksanakan kewajiban perpajakan melalui web DJP online dan elemen lain yang terkait. Kegiatan dimulai dari persiapan dengan menganalisis kebutuhan pelatihan, merumuskan tujuan pelatihan, mempersiapkan materi dan melaksanakan pelatihan. Pelatihan ini mencakup ceramah, diskusi, tanya jawab, dan pelatihan tentang pelaporan perpajakan, khususnya pelaporan SPT tahunan. Hasil dari pelatihan ini adalah untuk memberi BUMDes dan pelaku UMKM pengetahuan teknis yang diperlukan untuk memenuhi kewajiban perpajakannya, terutama pajak penghasilan, termasuk cara mengisi SPT tahunan baik sebagai badan maupun individu.  Abstract. To improve the capabilities of micro, small and medium entrepreneurs in Loa Duri Ulu Village, BUMDES and MSME actors were given socialization and training on tax reporting system skills on March 18 2022, before the last date for tax reporting. Lecturers in the service team have knowledge, expertise and experience in taxation. The aim of this training, specifically for BUMDes and MSMEs, is to improve their ability to carry out tax obligations via the online DJP website and other related elements. Activities start from preparation by analyzing training needs, formulating training objectives, preparing materials and implementing training. This training includes lectures, discussions, questions and answers, and training on tax reporting, especially annual SPT reporting. The result of this training is to provide BUMDes and MSME actors with the technical knowledge needed to fulfill their tax obligations, especially income tax, including how to fill out annual tax returns for both bodies and individuals.
Application of Bubble Sort Optimization in New Student Admission Selection Using Brute Force Algorithm Arbansyah, Arbansyah; Ilham, Muhammad Fauzan Nur; Suryawan, Sayekti Harits; Wirayuda, Pandu
TEPIAN Vol. 5 No. 2 (2024): June 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i2.3055

Abstract

This study investigates the application of a Brute Force algorithm optimized with Bubble Sort for new student admission selection. The Brute Force algorithm, while guaranteeing accurate results, suffers from exponential time complexity with increasing data size, posing a challenge for large applicant pools. To address this limitation, this research integrates Bubble Sort optimization to reduce the execution time complexity of the Brute Force algorithm. This study goes beyond solving the student admission selection problem; it explores optimizing the Brute Force algorithm by leveraging the simplicity and efficiency of Bubble Sort. This approach aims to determine the extent to which the Brute Force algorithm can be optimized for student selection, particularly regarding execution time complexity. The integration of Bubble Sort is hypothesized to significantly improve the performance of the Brute Force algorithm by reordering data before processing, thereby minimizing unnecessary comparisons. This paper presents a comparative analysis of execution times between the traditional Brute Force approach and the optimized version. Preliminary results indicate a substantial improvement in efficiency, suggesting that this hybrid approach could be a valuable solution for similar combinatorial problems with time complexity constraints. Further research could explore the applicability of this optimized algorithm in other domains where time complexity is a critical factor.
Comparative Analysis of the Application of AHP and SAW in the Selection of the Best Employees at the Main Samsat Office, Samarinda City. Darmawan, Dwiki Adi; Arbansyah, Arbansyah; Latipah, Asslia Johar
JSE Journal of Science and Engineering Vol. 2 No. 2 (2024): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v1i2.3838

Abstract

Employees are a supporting factor in a company or agency, because with employeeswho have company qualification standards, the company's productivity will be maintained and will increase. The AHP and SAW methods can be used to determine the best employees. There are 3 criteria and 16 alternatives that are given a value based on the scale of importance and weight for each criterion that has been determined by the Samarinda City Samsat Main Office which will be processed to find a sensitivity value using two methods, namely AHP and SAW. By carrying out the calculation process as much as 6 times the weight addition experiment where each weight is added to the value of 0.5 and 1 which is applied to the two AHP and SAW methods produces the sensitivity values of the two methods and uses two experiments with the first formula (XA – XB) and ( XA + XB ) then the sensitivity value obtained from the first trial of the AHP method is - 2.592705356 and the sensitivity value of the SAW method is -4.522690058. The second experiment added the value (XA + XB) so that the results of the sensitivity values of the two methods were obtained, namely AHP 5.952672848 and SAW method 8.358567251. From the calculations of these two methods, the SAW method was chosen which is more sensitive, so the best employee with the highes score at the Samsat Main Office, Samarinda City, was A1, namely the Selvi Salamah alternative, with a priority value of0.944444444.
ID Card Printing Time Prediction With Mean Absolute Error in Linear Regression Fawwazrin, Akmal Mugni; Arbansyah, Arbansyah; Amin Rezaeipanah
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3868

Abstract

The Population and Civil Regrestration Center, know in Indonesia as the Dinas Kependudukan dan Catatan Sipil (Dukcapil), is a government agency responsible for managing and recording population data in specific regions. Dukcapil is responsible for recording births, deaths, marriages, divorces, and documenting identities through the Electronic Resident Identity Card (E-KTP). Dukcapil faces the need to address delays in document issuance, which will be the focus of this research. The data were collected directly when researchers conducted Praktek Kerja Lapangan (PKL) at Dukcapil. This study utilizes the linear regression method to estimate the time required for printing E-KTP cards that will be produced and calculates the Mean Absolute Error (MAE). Thorough MAE calculations using the linear regression method, researchers obtained a result of 10.2923 from the available data.
Design And Build Monitoring System Temperature And Ph Hydroponic Plants Based On Internet Of Things (Iot) Technology Using Nodemcu Esp-8266 Microcontroller Alfianur, Muhammad Fahri; Arbansyah, Arbansyah; Sumadi, Muhammad Taufiq
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.4166

Abstract

Hydroponic agriculture is a soilless plant cultivation method that is becoming increasingly popular in the modern era. However, hydroponic systems require strict monitoring of environmental parameters, especially temperature and pH, to ensure optimal plant growth. This research aims to design and build a temperature and pH monitoring system for hydroponic plants based on the Internet of Things (IoT) using a NodeMCU ESP-8266 microcontroller. The developed system consists of a DS18B20 temperature sensor, a pH sensor, a NodeMCU ESP-8266 microcontroller, and the ThingSpeak IoT platform. These sensors are used to measure the temperature and pH of the hydroponic nutrient solution in real-time. The collected data is then sent to the ThingSpeak platform via the WiFi connection integrated into the NodeMCU ESP-8266. The implementation of this system is expected to assist hydroponic farmers in efficiently monitoring and controlling their plants' environmental conditions, thereby increasing productivity and harvest quality. Further research can be conducted to integrate more parameters and develop automatic control systems based on the collected data.
Pengembangan Sistem Kotak Amal Berbasis ESP32 Dan Sensor TCS3200 Untuk Monitoring Dan Analisis Donasi Real-Time Andriyanti, Reza; Arbansyah, Arbansyah; Sumadi, Muhammad Taufiq
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.5898

Abstract

The development of a donation box system based on ESP32 and TCS3200 sensor aims to enhance the efficiency and transparency of donation management previously conducted manually. This system is designed to detect and classify banknote denominations, display donation status on an OLED LCD, and send notifications through a Telegram bot. Testing of the TCS3200 sensor revealed that the RGB value ranges for Indonesian Rupiah banknotes from Rp 1,000 to Rp 100,000 vary, with minimum and maximum values for each color component. For example, Rp 1,000 banknotes have a blue color range of 6-9, green 7-9, and red 7-9. The sensor can detect banknote denominations accurately despite some instability in readings influenced by lighting conditions and color interference. The OLED LCD successfully displays messages corresponding to system conditions, and notifications via the Telegram bot are received properly under stable network conditions. This system functions effectively, facilitating monitoring and enhancing transparency in donation management.
Co-Authors Abdul Rahim Al Akbar, Mohamad Febriansyah Al-Faridzi, Syera Al-Fa’th, Nazriel Rahman Alfianur, Muhammad Fahri Amin Rezaeipanah Andriyanti, Reza Anis Siti Nurrohkayati Askiah, Askiah aulia, syafira Darmawan, Dwiki Adi Farhat Jundullah, Muhammad Fauziah, Fenty Fawwazrin, Akmal Mugni Fendy Yulianto Hallim, Abd Hallim, Abd. Hilal Mahmud, Hilal Huda, Khoirul Huda Dwi Putra Ilham, Muhammad Fauzan Nur Juangjaya, Josclyn Latipah, Asslia Johar Maulidina, Gina Muhammad Ijai Muhammad Taufiq Sumadi Nugraha, Doni Nur Ilham, Muhammad Fauzan Nursyarif, Muhammad Khumaidi Obos, Achmad Ariesta Pratama, Iqbal Anugerah Rahmat Rahmat RASIT, ABDUL Sayekti Harits Suryawan, Sayekti Harits Sofia Ulfa Eka Hadiyanti, Sofia Ulfa Eka Sumadi , Muhammad Taufiq Suryawan, Sayekhti Harits Vera Anitra Wirayuda, Pandu Yamin, Bun