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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING INTECOMS: Journal of Information Technology and Computer Science MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal Pengabdian UNDIKMA Jurnal Teknik Informatika (JUTIF) Journal of System and Computer Engineering Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Pengabdian Masyarakat Bangsa
Muh. Agus
Computer Science, Institut Teknologi Bacharuddin Jusuf Habibie, Parepare City, Indonesia
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Pelatihan Model Pembelajaran Interaktif Berbasis Aplikasi SLIDO di SMAN 5 Parepare Eka Qadri Nuranti; Naili Suri Intizhami; Putri Ayu Maharani; Mardhiyyah Rafrin; Muh. Agus
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 5 (2023): Juli
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i5.190

Abstract

Seorang pendidik selalu berusaha menciptakan suasana kelas yang menarik, kreatif, dan efektif sepanjang jadwal pembelajaran. Menyadari pentingnya keterlibatan siswa dalam proses belajar-mengajar, diperlukan penerapan metode pembelajaran interaktif yang memungkinkan terjadinya komunikasi dua arah antara guru dan siswa. Hal ini memungkinkan para siswa untuk aktif berpartisipasi dalam proses belajar-mengajar, dan menyampaikan pendapat, serta respon terhadap materi yang diajarkan. Namun, tanpa dukungan teknologi dan media yang tepat, pelaksanaan metode ini menjadi sulit dan menghambat tercapainya tujuan pembelajaran secara optimal. Meskipun banyak pendidik sudah familiar dengan konsep dan model pembelajaran interaktif, penerapannya masih belum mencapai potensinya dengan baik. Oleh karena itu, kegiatan pengabdian yang penulis lakukan difokuskan pada pemanfaatan media pembelajaran interaktif dengan menggunakan platform SLIDO, yang telah terbukti efektif dan menarik bagi para penggunanya. Kegiatan pengabdian ini diimplementasikan di sebuah Sekolah Menengah Atas, dengan tujuan untuk memberikan pelatihan dan pembekalan kepada para guru dalam mengoptimalkan penggunaan media interaktif ini.
Perancangan E-Office Pelayanan Dan Pengarsipan Digital Menggunakan Metode OCR Berbasis Web Alvian Tri Putra Darti Akhsa; Muhammad Agus; Rosmiati Rosmiati; Andi Muhammad Bahrul Ulum
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 1 (2024): 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/intecoms.v7i1.8367

Abstract

Penelitian ini bertujuan untuk memberikan dukungan kepada pemerintah dan masyarakat dalam mengoptimalkan pelayanan dan pengarsipan dokumen sesuai dengan tujuan E-Government. Fokus utamanya adalah meningkatkan efisiensi dan pengorganisasian dalam proses pelayanan publik dan pengarsipan dokumen melalui pemanfaatan metode Optical Character Recognition (OCR). Metode otomatisasi pengelolaan arsip yang diimplementasikan dalam platform ini adalah OCR, yang memiliki peran penting dalam mengubah gambar dokumen menjadi teks yang dapat diolah. Kami menggunakan library tesseract sebagai basis data karakter. Tahap-tahap penelitian mengikuti metode pengembangan SDLC (Systems Development Life Cycle). Hasil ekstraksi melalui OCR untuk 10 data uji dalam format .jpg berupa dokumen yang di scan dan dokumen dari kamera ponsel, mencapai tingkat akurasi sebesar 98.60% untuk dokumen yang di scan dan 93.43% untuk dokumen kamera ponsel. Penelitian ini menunjukkan bahwa tingkat akurasi tertinggi dapat dicapai dengan menggunakan scanner dalam pengambilan gambar. Hasil ini mengonfirmasi kemampuan library OCR tesseract dalam mengkonversi gambar menjadi dokumen digital dengan efisiensi, memungkinkan pemanfaatan informasi secara optimal dalam sistem. Kata Kunci: E-Government, OCR, Tesseract.
Perancangan Sistem Pemberian Nutrisi Tanaman Sayuran Hidroponik Otomatis Berbasis Arduino Muh. Agus; Alvian Tri Putra Darti Akhsa; Sitti Rahma Yunus
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 4 (2023): Jurnal Fokus Elektroda Vol 8 No 4 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Abstract

Penelitian ini bertujuan: Merancang sistem pemberian nutrisi tanaman sayur hidroponik otomatis menggunakan Arduino nano, menggunakan sensor TDS (total dissolve solid) dan sensor level ketinggian air, mengontrol pompa air, pompa nutrisi dan pengaduk untuk mengatur nilai PPM pada air sehingga menghasilkan nilai PPM yang sesuai dengan kebutuhan tanaman. Sistem dirancang menggunakan arduino nano sebagai kontroller yang akan terhubung ke sensor TDS yang berfungsi sebagai pengukur kepadatan zat yang terlarut dalam air dengan satuan PPM. Dalam hal ini pula akan digunakan button yang berfungsi sebagai tombol pilihan dalam menentukan kebutuhan nutrisi yang sesuai dengan tanaman yang ada.
Perancangan Sistem Pemantauan Kelembaban Tanah,Udara dan Suhu pada Tanaman Bawang Merah Menggunakan IoT Muh. Agus; Putri Ayu Maharani; Mardhiyyah Rafrin
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Shallots are one of the abundant horticultural commodities in Enrekang Regency. Even though the harvest of this plant is abundant, most of the cultivation in this area is still done manually. One of the systems that farmers need most at the moment is a plant watering system, because farmers have to maximize crop yields where the watering process is still done manually using sprinklers. Therefore, this research aims to design a monitoring system using IoT technology based on the parameters of temperature, soil humidity and air humidity. There are 3 components that will be built, namely IoT technology to collect data in real time, a web-based database application to process and store data, and a mobile application for monitoring. This research will be carried out in 4 stages: 1) preparation and coordination, 2) design and installation of tools and data collection, 3) application design, 4) publication. There are 4 control system points embedded in the fields and connected to each other with a Wireless Sensor Network system which continuously reads values from sensors. Then data from the sensor will be forwarded by the NodeMCU EPS8266 module to the firebase.com database and then displayed in the Mobile Application. The NodeMCU ESP8266 module can send data if it is connected to a Wi-Fi access point signal with a range of ±25 meters and the waiting time (delay) of the NodeMCU ESP8266 module will be greater the further the distance from the Wi-Fi access point.
PELATIHAN ROBOT SEDERHANA UNTUK TINGKATKAN LOGIKA BERFIKIR SISWA DI SMKN 2 PINRANG Muh. Agus, S.Kom., M.Kom.; Prof. Dr. Ir. Indar Chaerah Gunadin, ST.,MT.,IPM; Putri Ayu Maharani, S.T., M.Sc.; Naili Suri Intizhami, S.Kom., M.Kom.; Eka Qadri Nuranti, S.Kom., M.Kom.; Mardhiyyah Rafrin, S.T., M.Sc.; Muh. Ikhsan Amar, S.Kom., M.Kom.; Muhammad Irsyad Erlangga; Muhammad Fadel Hasyim; Rafdah Pritama Saputri; Elisabeth Tri Juliana Kandakon; Risnawati
MONSU'ANI TANO Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2024)
Publisher : Universitas Muhammadiyah Luwuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32529/tano.v7i2.3555

Abstract

Kegiatan pengabdian ini menawarkan solusi dengan mengajak siswa/siswi UPT SMK Negeri 2 Pinrang untuk belajar pemrograman. Melalui pembelajaran ini, siswa/siswi dilatih untuk berpikir kritis dan menyelesaikan masalah dengan metode terstruktur yang berfokus pada pengembangan robot sederhana. Hal ini sesuai dengan kebutuhan siswa/siswi di sekolah mitra, baik yang telah memiliki dasar pemrograman maupun yang belum, serta sangat diperlukan untuk menghadapi tantangan ujian dan kehidupan setelah lulus sekolah. Kegiatan ini dilaksanakan melalui metode pelatihan dan pendampingan langsung dirangkaian dengan test dan lomba. Pelaksanaan pre-test dan pemberian materi logika matematika serta pemrograman Arduino sebagai dasar untuk praktikum pembuatan robot sederhana, dilanjutkan dengan post-test dan lomba. Terjadi peningkatan dari nilai rata-rata 50,57% pada pre-test menjadi 63,4% pada post-test, dengan peningkatan sebesar 12,83%. Lomba tersebut menghasilkan tiga siswa dengan waktu tercepat dalam merangkai komponen robot. Diharapkan materi yang telah diberikan dapat memberdayakan siswa/siswi untuk menjadi pencipta teknologi yang berharga setelah mereka menyelesaikan pendidikan mereka
IoT-Based Irrigation System Using Machine Learning for Precision Shallot Farming Rafrin, Mardhiyyah; Muh. Agus; Putri Ayu Maharani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5579

Abstract

Despite the massive production of shallots in Enrekang Regency, South Sulawesi Province, Indonesia, the cultivation method is still very conventional. Shallot cultivation is very challenging because it requires precision irrigation and pest prevention. In this research, we proposed a smart irrigation system to help farmers manage irrigation with more efficient water usage without hampering their pest prevention. The results of the system were three options: 1) no water needed, 2) water is required and is efficient for irrigation, and 3) water is required but it is not efficient for irrigation. We used Wireless Sensor Networks and IoT to collect yield parameters, designed a firebase database, and developed a mobile application and a web service embedded with a machine learning application. All applications interacted using the representational state transfer application programming interface. The proposed system architecture successfully gathered cropland data and distributed them to all applications within the system. Furthermore, we analyzed four supervised learning algorithms (decision trees, random forest, gradient boosting, and K-Nearest neighbor), and the random forest was deployed in the web service because it outperformed other algorithms with a precision of 94% and an AUC score of 0.90.
Pelatihan Pembuatan Modul Pembelajaran Interaktif Berbasis Aplikasi Quizizz dan Google Slide bagi Guru SMAN 5 Parepare Naili Suri Intizhami; Indar Chaerah Gunadin; Eka Qadri Nuranti; Putri Ayu Maharani; Mardhiyyah Rafrin; Muh Agus; Osama Iyad Al Ghozy; Nur Inaya Bahar; Muhammad Rivaldi Jefri; Muhammad Aldi Alfatih
Jurnal Pengabdian UNDIKMA Vol. 4 No. 4 (2023): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v4i4.9218

Abstract

This community service project aims to enhance the knowledge and skills of SMAN 5 Parepare teachers in developing interactive learning modules based on Google Slide and Quizizz applications and implementing Image Recognition technology. This method of implementation used training and reinforcement. This activity's evaluation instrument employed questionnaires, which were then descriptively analyzed using pre-test and post-test data. The results of this study indicated that teachers at SMAN 5 Parepare could develop interactive learning modules based on Google Slides and Quizizz adapted to the subject matter being taught. 38% of all questions answered correctly by the participants in this activity improved their teacher's skills.
Penerapan Sistem Tracking Berbasis GPS pada Alat Pendeteksi Alkohol Terintegrasi dengan Arduino untuk Pengemudi Mobil Penumpang Umum Jusuf, Abd Karim; Agus, Muh
Journal of System and Computer Engineering Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.871

Abstract

Regarding the problems faced by managers of the transportation business, namely cases of vehicle theft which still often occur, therefore an idea emerged on how owners can monitor their vehicles effectively, then accidents that usually occur due to reckless public transportation drivers due to influence of liquor. Based on the background described above, the authors aim to conduct research by creating a GPS tracking tool that is integrated with Arduino, which is able to monitor the location of the driver/vehicle and is able to reduce vehicle embezzlement, and the system to be designed is able to detect whether the driver of the vehicle is in a state of drink alcohol or not. Research has been carried out on 2 people, namely for the first person, the lowest sensor data reading was obtained, namely 22 ppm with a delay of 2 seconds for GPS readings for a distance of 3.5 km and the condition of the relay was off indicating that alcohol was not detected, and for the highest sensor data readings it was at 109 ppm with a delay of 3 seconds GPS reading for a distance of 4.2 km and the condition of the relay is on which indicates alcohol is detected. In the second person test, the lowest sensor data reading was obtained, namely 23 ppm with a 4 second GPS reading delay for a distance of 11 km and the condition of the relay was off indicating no alcohol was detected, and the highest sensor data reading was 121 ppm with a 2 second GPS reading delay for a distance 10 km and the condition of the relay is on which indicates alcohol is detected. GPS testing was carried out 10 times for each person where the longest distance tested on the first person was 42 km, and the shortest distance was 3.3 km. And for the test, the fastest delay in reading the driver's location is 2 seconds, and the longest is 5 seconds. In testing the second person, the longest distance was 12 km, and the shortest distance was 10 km. And in the test, the fastest delay in reading the driver's location point is 2 seconds, and the longest delay in reading the location point is 4 seconds.
Pelatihan Pemanfaatan Teknologi Augmented Reality dan Virtual Reality Sebagai Media Pembelajaran Inovatif bagi Guru di SMP Negeri 10 Parepare Rafrin, Mardhiyyah; Maharani, Putri Ayu; Muh. Agus; Amar, Muh. Ikhsan; Intizhami, Naili Suri; Nuranti B, Eka Qadri; Bahar, Nur Aini Sri Oktaviani; Armansyah, Muhammad Dicky; S., St. Aisyah; Kandi, Damar; Malika, Saphira Nur
Jurnal Pengabdian UNDIKMA Vol. 6 No. 4 (2025): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i4.18210

Abstract

This community service program aims to enhance teachers’ skills in utilizing AR and VR technologies as innovative instructional media in the classroom. The program was implemented using a structured training model involving 20 teachers from SMPN 10 Parepare. The evaluation instrument consisted of a questionnaire, and the responses were analyzed using descriptive techniques. The results show that the training was highly aligned with teachers’ needs at the school (average response score: 4.75), easy to follow (4.66), very beneficial in improving the quality of learning (4.85), and motivating for teachers to adopt AR and VR technologies in their instructional practices (4.58). Overall, this training activity provided a significant contribution to enhancing teachers’ digital literacy, particularly in the use of innovative learning media.
Forecasting Nutrient Concentration Dynamics in Hydroponic Lettuce Cultivation Using a Hybrid Fuzzy Time Series and Long Short-Term Memory Approach for Internet of Things–Based Systems Agus, Muh.; Akhsa, Alvian Tri Putra Darti; Marka M, Ilham Ali; Hasyim, Muhammad Fadel
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5600

Abstract

Proper nutrient management is crucial for the optimal growth and yield of hydroponically cultivated lettuce. This study proposes a hybrid time-series forecasting model that integrates Fuzzy Time Series (FTS) and Long Short-Term Memory (LSTM) networks to predict nutrient concentration dynamics in hydroponic lettuce cultivation within an Internet of Things–based environment. Experimental data from four lettuce plant samples with different nutrient treatments (control, 400 PPM, 600 PPM, and 1000 PPM) were analyzed for 26 days, with the prediction extended to 40 days, representing the complete growth cycle using a TDS Sensor as a PPM value reader and a Solenoid Valve to accurately control the PPM value via ESP32 with Internet of Things (IoT) communication. This hybrid model incorporates growth-stage awareness through an adaptive weighting mechanism, resulting in a superior forecasting accuracy. The results showed that the ensemble approach achieved a Mean Absolute Percentage Error (MAPE) of 2.43% for the control, 3.12% for the 400 PPM, 3.45% for the 600 PPM, and 3.78% for the 1000 PPM sample. The 600 PPM treatment showed optimal development with 82% compliance with the recommended PPM range (560-840 ppm). The proposed model provides actionable insights for precision nutrient management, potentially reducing fertilizer use by 23-35% while maintaining crop quality. This study contributes to hybrid intelligent systems and time-series forecasting by demonstrating an effective integration of rule-based fuzzy modeling and deep recurrent neural networks in Internet of Things–driven environments for hydroponic systems, supporting efficient resource utilization and increased crop productivity.
Co-Authors Akhsa, Alvian Tri Putra Darti Alvian Tri Putra Darti Akhsa Amar, Muh. Ikhsan Andi Muhammad Bahrul Ulum Armansyah, Muhammad Dicky Bahar, Nur Aini Sri Oktaviani Eka Qadri Nuranti Elisabeth Tri Juliana Kandakon Gunadin, Indar Chaerah Hasyim, Muhammad Fadel Ilham Ali Marka M Indar Chaerah Gunadin Jusuf, Abd Karim Kandi, Damar M. Fauzan Iskandar Maharani, Putri Ayu Malika, Saphira Nur Mardhiyyah Rafrin Mardhiyyah Rafrin Mardhiyyah Rafrin, S.T., M.Sc. Marka M, Ilham Ali Muh. Abubakar Tunru Muh. Ikhsan Amar, S.Kom., M.Kom. Muhammad Aldi Alfatih Muhammad Aslam Al-Fadillah Muhammad Fadel Hasyim Muhammad Faruq Al-Fauzi S. Muhammad Irsyad Erlangga Muhammad Rivaldi Jefri Naili Suri Intizhami Naili Suri Intizhami, S.Kom., M.Kom. Nur Inaya Bahar Nuranti B, Eka Qadri Osama Iyad Al Ghozy Prof. Dr. Ir. Indar Chaerah Gunadin, ST.,MT.,IPM Putri Ayu Maharani Putri Ayu Maharani Putri Ayu Maharani, S.T., M.Sc. Rafdah Pritama Saputri Rafrin, Mardhiyyah Risnawati Rosmiati S., St. Aisyah Sitti Rahma Yunus