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Analisis Peramalan Beban Listrik Jangka Pendek di Kota XYZ Menggunakan Metode Koefisien dan Jaringan Syaraf Tiruan Sri Rahayu Aida Putri; Samratul Fuady; Dasrinal Tessal; Andre Rabiula
Jurnal Engineering Vol. 4 No. 2 (2022): Volume 4, Nomor 2, 2022
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jurnalengineering.v4i2.21991

Abstract

Penelitian ini akan membahas tentang perbandingan antara metode jaringan syaraf tiruan (JST) dan metode koefisien dalam meramalkan beban listrik jangka pendek di Kota XYZ. Hasil penelitian menunjukkan perbandingan error hari Minggu, 24 Oktober 2021 ialah 3,12% pada metode JST dan 24,78% pada metode koefisien, untuk hari Senin, 25 Oktober 2021 memperoleh hasil error 1,61% pada metode JST dan 23,97% pada metode koefisien, untuk hari Selasa, 26 Oktober 2021 memperoleh hasil error 1,90% pada metode JST dan 25,09% pada metode koefisien, untuk hari Rabu, 27 Oktober 2021 memperoleh hasil error 1,66% pada metode JST dan 23,97% pada metode koefisien, untuk hari Kamis, 28 Oktober 2021 memperoleh hasil error 4,19% pada metode JST dan 20,65% pada metode koefisien, untuk hari Jum’at, 29 Oktober 2021 memperoleh hasil error 2,12% pada metode JST dan 23,46% pada metode koefisien dan untuk hari Sabtu, 30 Oktober 2021 memperoleh hasil error 1,69% pada metode JST dan 27,92% pada metode koefisien. Berdasarkan hasil yang diperoleh bahwa perbandingan error yang dihasilkan sangat signifikan dan dapat disimpulkan bahwa tingkat akurasi yang baik ialah dengan menggunakan metode JST.
Perencanaan Pembangkit Listrik Tenaga Surya Sistem Off-Grid di Desa Bungku Kecamatan Bajubang Kabupaten Batanghari Jambi Abdul Manab; Iyan Torang H; Andre Rabiula; Hendi Matalata
Journal of Electrical Power Control and Automation (JEPCA) Vol 5, No 2 (2022): Desember
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jepca.v5i2.78

Abstract

This study aims to plan a solar power plant with an off grid system that will be used for electricity needs in Hamlet Kunangan Jaya 2 RT.28 which is one of the Hamllet in Bungku Village. Bungku Village is included in the 3T area, which is left behind, foremost, and outermost.Hamle Kunangan Jaya 2 RT.28have not enjoyed electricity from PLN due to difficult access and far from urban areas.The research was conducted with a descriptive research method. The selection of this type of method is used on the basis of the consideration that the nature of the research describes a plan carried out to meet the electricity needs of public facilities. Studies field were carried out to determine the electricity needs of public facilities: Mosques, Polides, and Elementary Schools, find out the number of panels needed, measure solar radiation and measure the area of the building. Calculation of electricity requirements is carried out in order to find out how much electricity is needed in public facilities, carry out design plans and calculate a budget plan to describe the planned installation. The results of solar data measurement for Optimal Global Irradiation in Bungku Village are 4,549kWh/m2 per day, the required amount of solar cell power is 6,000WP, three 40A Solar Charger Controllers, 2,800Ah batteries and 8000Watt Inverters. The total load required for mosques, polides, and elementary schools is 25,126Wh. The total RAB for PLTS development using an off-grid system requires a cost of IDR 138,647,000.
Rancang Bangun Sistem Keamanan Sepeda Motor Menggunakan GPS dan SIM800 Berbasis Mikrokontroller Arduino nano Andre Rabiula; Afriyandi Afriyandi; Haerul Pathoni; Aiza Yudha Pratama
Jurnal Engineering Vol. 5 No. 1 (2023): Volume 5, Nomor 1, 2023
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jurnalengineering.v5i1.22520

Abstract

Sepeda motor merupakan alat transportasi yang paling banyak digunakan di Indonesia, namun juga diikuti dengan tingginya tingkat pencurian sepeda motor karena sistem keamanan dari sepeda motor yang masih rendah. Pada penelitian ini peneliti melakukan peningkatan sistem keamanan sepeda motor dengan menambah RFID sebagai pengganti kunci pada sepeda motor, SMS sebagai sistem kontrol jarak jauh yang bisa mematikan dan menghidupkan sepeda motor, dan juga GPS sebagai sistem pemantau untuk mengetahui keberadaan sepeda motor. Sistem keamanan pada sepeda motor telah diimplementasikan dan dapat digunakan untuk meningkatkan keamanan sepeda motor serta dapat menjadi alat untuk mencegah terjadinya aksi pencurian sepeda motor.
Analisis Kualitas Daya Listrik Di Gedung A Fakultas Sains Dan Teknologi Universitas Jambi Nanda Dwi Septiawan; Abdul Manab; Andre Rabiula; Dasrinal Tessal
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2197

Abstract

A reliable, efficient and high quality electrical energy supply is certainly very necessary. Frequent damage to electronic equipment and practical equipment in Building A, Faculty of Science and Technology (FST), Jambi University, prompted the author to conduct research on analyzing the quality of electrical power in this building. The research aims to analyze the quality of electrical power in building A FST. The research method used is the observation method which cannot influence the variables studied but can only record and observe the data that has been measured. The power quality quantities measured are voltage, current, active power, reactive power, power factor, voltage harmonics and current harmonics in each main panel. Based on the research results, the problem that occurs in the main panel of transformer A is load imbalance, namely at a percentage of 5.56% to 6%, the standard set by the IEC is only 5%. and the occurrence of current harmonic distortion (THDi) at a percentage of between 24%, the standard set by IEEE is 12%. The problem that occurs in the main panel of transformer B is that it has a low power factor value in the R and T phases, namely below 0.85. The occurrence of load imbalance is at a percentage of 10.9% to 12%, the standard set by the IEC is only 5%. The occurrence of voltage fluctuations is +7.4%, the standard according to PUIL 2011 is +5% with a value of 231 Volts and -10% with a value of 198 Volts and the occurrence of current harmonic distortion (THDi) is very high at a percentage of 29.83% to 58.419%, the value permitted by the IEEE standard is 15%.
PENERAPAN SISTEM KONTROL DAN MONITORING LEVEL AIR BERBASIS INTERNET Of THINGS (IoT) DENGAN TELEGRAM DI HANZA FARM SEBAGAI STRATEGI PENGUATAN PRODUKTIVITAS PERTANIAN HIDROPONIK Hais, Yosi Riduas; Nehru, Nehru; Fuady, Samratul; Rabiula, Andre; Fortuna, Dewi; Damayanti, Liza
EJOIN : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2024): EJOIN : Jurnal Pengabdian Masyarakat, Mei 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/ejoin.v2i5.2857

Abstract

Hidroponik merupakan budidaya pertanian yang tidak menggunakan tanah sebagai medianya. Kelebihan dalam bercocok tanam menggunakan media non tanah adalah salah satu cara penghematan lahan dan juga tidak memakan banyak biaya. Untuk kelemahan nya sendiri adalah perlu nya ketelitian tinggi. Hidroponik Hanza Farm menggunakan jenis hidroponik dengan metode Nutrifit Film Technique (NFT) di lahan terbuka. Hidroponik di lahan terbuka menimbul permasalahan yang lebih kompleks dari pada jenis hidroponik pada green house, namun dari sisi investasi lebih menguntungkan. Belum ada penerapan teknologi, baik konvensional maupun otomastis pada hidroponik mitra. Semuanya masih dikontrol secara konvensional oleh manusia. Pengendalian level air pada tandon dan sirkulasi air hidroponik masih menggunakan tenaga manusia, yang terkadang terjadi human error. Terbuangnya nutrisi pada saat kondisi hujan, karena air tandon yang sudah di isi dengan nutrisi menjadi tumpah karena tambahan air hujan.  Tumbuhan hidroponik menjadi layu dan kering akibat sirkulasi air yang tidak terkontrol. Untuk mengatasi masalah tersebut, maka diterapkan teknologi sistem otomatis. Pada pengabdian ini difokuskan pada masalah kontrol level air pada tandon nutrisi hidroponik. Sistem kontrol dan monitoring level air dibangun berbasis Internet of Things (IoT) menggunakan aplikasi telegram. Perangkat yang digunakan untuk mengukur level air berupa sensor level swicth. Data yang dibaca sensor kemudian dikirimkan ke NodeMCU ESP8266. NodeMCU akan mengolah data dan mengontrol on/off dari pompa, kemudian data juga dikirim ke telegram user menggunakan internet. Sehingga user dapat memonitoring dan mengontrol level air dari jarak jauh. Berdasarkan hasil pengujian yang telah dilakukan terhadap alat pendeteksi  banjir ini dapat ditarik kesimpulan bahwa, perangkat dapat mengukur ketinggian sebagaimana fungsinya, sensor jarak mampu mengukur ketinggian air dengan tingkat error -3 cm diatas jarak 150 cm dan rata-rata delay pengiriman data dari telegram ke Hidroponik adalah 3 detik. Dengan penerapan alat ini petani lebih mudah untuk memonitoring kondisi cuaca dan level air dari jarak jauh. Selain memonitoring alat ini juga dapat dikendalikan untuk mengaktifkan dan mengnonaktifkan pompa air.
IMPEMENTASI ALGORITMA YOLO UNTUK PENGENALAN OBJEK SAMPAH: Classification, Deep Learning, Image Processing, YOLO Rabiula, Andre; Haryatama Putri, Frenti; Nehru, Nehru
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1677

Abstract

Human activities cannot be separated from production and consumption activities which have an impact on the generation of waste, such as the use of plastic. Therefore, waste detection and sorting should be carried out at the initial stage of waste management to maximize the amount of waste that can be recycled. This research aims to apply image processing and deep learning algorithms in plastic waste classification, as well as testing the performance of the classification system. The research method used refers to the research stages, namely literature study, data collection, pre-processing, system design, implementation, testing, evaluation and data analysis. The research results show that plastic waste classification system obtained accuracy, precision, recall and F1 scores, namely 98.7%, 1, 0.98 and 0.99.
INTEGRASI PROJECT-BASED LEARNING DALAM PEMBELAJARAN INTERAKSI MANUSIA DAN KOMPUTER DI PROGRAM STUDI SISTEM INFORMASI: Human-Computer Interaction, learning outcomes, Project-Based Learning, student creativity, UI/UX. Abidin, Zainil; Hutabarat, Benedika Ferdian; Rabiula, Andre
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1688

Abstract

This study aims to analyze the effect of implementing the Project-Based Learning (PjBL) model on student learning outcomes and task creativity in the Human-Computer Interaction course. The research method used is quantitative with a quasi-experimental design. The research subjects consisted of two classes: a control class using conventional methods and an experimental class applying PjBL. Data were collected through final exam tests and a rubric-based assessment of UI/UX project creativity. The analysis results showed that the PjBL class achieved significantly higher scores in both final exams and task creativity (p < 0.05). It is concluded that the PjBL model is effective in enhancing students' understanding and UI/UX design skills in the Information Systems program.
ANALISIS PERBANDINGAN MODEL GRU DAN LSTM UNTUK PREDIKSI HARGA SAHAM BANK RAKYAT INDONESIA: Deep Learning, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), Stock Price Prediction Perdana, Yogi; Raisa Hanum, Nindy; Rabiula, Andre; Anzari, Yandi
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1692

Abstract

This research implements and compares two deep learning architectures, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), for predicting the stock price of Bank Rakyat Indonesia (BRI) using historical data from February 2023 to October 2024. Through systematic hyperparameter tuning and comprehensive evaluation, the study finds that GRU consistently outperforms LSTM across all regression metrics, with a 10.7% improvement in R² and an 18.5% reduction in MAPE. The optimal GRU configuration (100 units, 100 epochs, batch size 32, learning rate 0.001) achieves an MSE of 6517.5 and MAPE of 1.3764%. Visual analysis confirms GRU's superior ability to capture stock price fluctuations and adapt more quickly to trend changes. The simpler architecture of GRU with fewer parameters proves more effective for handling the high-noise characteristics and varying volatility of stock price data. While both models face challenges in predicting extreme market events, GRU demonstrates better resilience and faster recovery after such occurrences. This research contributes to the understanding of recurrent neural network applications in financial time series forecasting and provides practical insights for developing more accurate stock price prediction systems.
ADDIE-Based Development of a Solar-Powered Sprayer for Efficient Weed Control in Remote Oil Palm Plantations Abdul Manab; M Bahrul Muttaqin; Andre Rabiula; Ramadhani, Salisa 'Asyarina; Yosi Riduas Hais; Dasrinal Tessal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1221.2025

Abstract

Oil palm plantations in Indonesia demand efficient weed control methods, particularly for large-scale operations in remote areas. Manual pesticide sprayers are still commonly used, but they require high labor, long operating time, and are not energy-efficient. This study presents the design and development of a solar-powered pesticide sprayer using the ADDIE method—Analysis, Design, Development, Implementation, and Evaluation. The prototype consists of a 50 Wp monocrystalline solar panel, two 12V 24Ah VRLA batteries, a DC pump with variable pressure levels, and an Automatic Transfer Switch (ATS) for alternating battery use. The system is mounted on a frame suitable for motorcycle transport to improve field mobility and adaptability in plantation environments. Development followed all ADDIE phases and was validated through real-world field testing. Results showed a 75% reduction in spraying time—from 8 hours (manual) to 2 hours—with a maximum pressure of 70 PSI and a spray reach of 3.5 meters. The ATS allowed uninterrupted operation under varying sunlight conditions. This design offers greater energy efficiency, continuous usability, and flexible deployment compared to similar systems. The findings demonstrate the feasibility of applying solar energy to support sustainable weed management in off-grid agricultural settings, highlighting its potential for broader agricultural mechanization.
POTENSI PEMANFAATAN LIMBAH PADAT KELAPA SAWIT SEBAGAI UPAYA MENINGKATKAN EFISIENSI ENERGI DI PABRIK KELAPA SAWIT Gusri, Lailal; Putri, Prameswari Amalia; Manab, Abdul; Rabiula, Andre
Jurnal Ecocentrism Vol. 5 No. 2 (2025): Jurnal Ecocentrism
Publisher : Program Studi Teknik Lingkungan, Fakultas Teknik, Universitas Mahasaraswati Denpasar, Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/jeco.v5i2.12914

Abstract

The palm oil industry has a significant impact on the regional and national economy, generating employment, especially for farmers. Crude palm oil (CPO) can be processed into edible oil, cosmetics, and biofuels, making it a strategic commodity in global trade. However, this industry also produces abundant solid and liquid waste, such as shells, fibers, and empty fruit bunches. Factory waste must be managed and processed to prevent environmental pollution. Poor waste management can lead to various environmental problems, necessitating effective and sustainable management strategies. This type of solid waste has the potential to be used as an alternative energy source and raw material for value-added products. The objective was to determine the utilization of palm oil solid waste and its percentage, as an effort to optimize industrial waste management. The methods used included direct observation of the processing and utilization of solid waste at the factory, collection of production data, and a review of relevant literature. The results showed that empty fruit bunches are used as compost and mulch in plantations, shells are used as boiler fuel to generate steam energy, and fiber is used as supplementary fuel. According to the literature review, this solid waste still has potential for further development, such as the production of briquettes, pellets, and biomass-based activated carbon. Optimizing the utilization of palm oil solid waste can increase the energy efficiency of factories and reduce the volume of waste.