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PROTOTYPE SISTEM PERINGATAN DINI UNTUK RUMAH MENGGUNAKAN MIKROKONTROLER, BERBASIS IOT Muhammad Husain, Fadel; Putra, Irfan Pratama; Saad, Muhammad; Basalamah, Abdullah; Pakka, Hariani
Jurnal LOGITECH Logika Technology Vol. 7 No. 1 (2024)
Publisher : Program Studi Teknik Elektro Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64109/8per2a82

Abstract

Keamanan merupakan aspek penting bagi setiap individu, terlebih dengan meningkatnya tindak kriminal seperti pencurian yang sering terjadi ketika pemilik rumah tidak berada di tempat. Kondisi ini mendorong perlunya sistem keamanan jarak jauh agar potensi pencurian dapat dicegah. Penelitian ini merancang alat pemantau kondisi rumah yang memberikan notifikasi kepada pemilik melalui WhatsApp, dengan judul Prototype Sistem Peringatan Dini untuk Rumah Menggunakan Mikrokontroler Berbasis IoT. Prototype sistem ini dibangun menggunakan metode prototyping, dengan tujuan menghasilkan perangkat keras dan perangkat lunak yang dapat mengirimkan notifikasi ke smartphone pemilik rumah. Perangkat keras terdiri dari sensor infrared beam sebagai pendeteksi objek yang melintas, buzzer sebagai alarm suara, IC regulator 7805 untuk menstabilkan tegangan menjadi 5 volt DC, kapasitor sebagai filter untuk mengurangi noise dan menyimpan energi, serta NodeMCU ESP32 sebagai mikrokontroler. Sementara itu, untuk perangkat lunak, NodeMCU ESP32 dihubungkan dengan Twilio guna mengirimkan notifikasi melalui aplikasi WhatsApp. Berdasarkan hasil pengujian, sensor dapat mendeteksi objek pada jarak 5 hingga 15 meter dan secara otomatis mengaktifkan buzzer. IC regulator 7805 berhasil menurunkan tegangan dari 12 volt menjadi 5 volt. Pengujian perangkat lunak menunjukkan rata-rata waktu tunda (delay) pengiriman notifikasi WhatsApp adalah 1,6 detik untuk provider Telkomsel, 2,6 detik untuk XL, dan 2,6 detik untuk Tri, sehingga diperoleh rata-rata delay keseluruhan sebesar 2,2 detik.
Expert System Implementation of the Certainty Factor Method for Smartphone Damage Diagnosis Syahrul Mubarak Abdullah; Hariani Ma'tang Pakka; Andi Syarifuddin; Ahmed Saeed Alghamdi
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 2 (2024): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v1i2.7810

Abstract

Android smartphone is currently one of the most extensively utilized operating systems. Nevertheless, Android devices are susceptible to issues such as Ic Emmc, Ic Power, software malfunctions, Blank Screen, Hang, complete device malfunction, and boot loop. Prompt intervention is crucial when a smartphone experiences a problem to prevent more harm and safeguard the user. The Certainty Factor (CF) accounts for the inherent uncertainty in an expert's analysis. Expressions such as "uncertain," "highly probable," "likely," "very likely," "almost certain," and "certain" are frequently employed in this context. This study employed a manual questionnaire to assess the efficacy of the expert system in identifying malfunctions in Android devices. All five technicians and all five user respondents expressed significant agreement about the reliability of the expert system in the questionnaire, and the black box test yielded a perfect 100% success rate. Through accuracy testing, using 10 samples of expert analysis data and 10 samples of system data, it was determined that the expert system achieved an 80% accuracy rate in generating diagnostic conclusions based on the tested data.
Hybrid Systems for Energy Distribution and Telecommunication Reliability in Smart Grids Saidah Sayuti; Hariani Ma'tang Pakka; Andi Syarifuddin; Muhammad Yusuf Mappeasse; Widya Wisanty
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 1 (2024): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v2i1.9520

Abstract

The integration of energy distribution systems and telecommunication networks is crucial for improving the reliability, efficiency, and scalability of smart grids. However, challenges such as electromagnetic interference (EMI), latency, and fault tolerance complicate seamless operation. This study proposes a hybrid framework using MATLAB/Simulink to model and simulate energy distribution, real-time monitoring, and fault detection in high-voltage environments. The simulation framework consists of a high-voltage energy distribution network modeled with multiple buses, transformers, and distributed renewable energy sources. IoT-based sensors are strategically placed at critical nodes to collect real-time voltage and current data, which are transmitted via 5G communication protocols using the MQTT messaging standard. Fault detection is performed using an AI-driven Support Vector Machine (SVM) algorithm, trained with historical fault data to detect anomalies and classify fault types with high accuracy. The simulation environment integrates power flow analysis, real-time fault detection mechanisms, and communication latency assessment to evaluate system performance. Key findings demonstrate up to 92.8% energy efficiency with 60% renewable energy penetration, fault recovery times reduced to 35 ms through AI-based detection, and communication latency maintained below 15 ms for IoT-based monitoring. These results validate the proposed framework’s ability to address critical challenges in smart grids, including EMI mitigation, fault tolerance, and system scalability. This research bridges the gap between energy distribution and telecommunication systems, offering a scalable and sustainable solution for smart grid optimization.
Enhancement of Generator Contribution Allocation Using Power Tracing Approaches in Deregulated Power Systems Syarifuddin Nojeng; Muhammad Nawir; Reny Murniati; Hariani Ma’tang Pakka; Amelya Indah Pratiwi
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.11304

Abstract

The implementation of transmission open access in deregulated power systems requires transparent and equitable allocation of transmission usage among market participants. A key challenge is determining the actual contribution of individual generators to transmission line flows, particularly in meshed networks where loop flows and counterflows occur. Although power tracing based allocation methods are widely adopted due to their conceptual simplicity, classical approaches often fail to accurately represent generator responsibility under such conditions. This paper presents a comparative evaluation of generator contribution allocation using three representative power tracing approaches: the Bialek proportional sharing method, the Extended Incidence Matrix (EIM) approach, and the Generalized Generation Distribution Factor (GGDF) based method. A unified DC power flow–based analytical framework is employed to ensure consistent assessment in a deregulated transmission environment. A standardized 6-bus test system is used to illustrate the differences among the examined approaches. The results show that proportional tracing methods allocate only positive contributions, whereas the GGDF-based formulation is able to capture counterflow effects through negative contribution values. The findings provide useful insights for transmission usage allocation and congestion-related applications in deregulated electricity markets.
Analisis Sentimen Fasilitas Belajar dan Alat Laboratorium menggunakan metode Naïve Bayes Classifier A Ulfah Tenripada Syahar; Avin Savitri; Dewi Widyawati; Hariani Ma’Tang
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.265

Abstract

ABSTRACK This study aims to analyze student sentiment towards learning facilities and laboratory equipment using the Naïve Bayes Classifier method. The data used in this study were obtained from social media platforms, which include student comments and statements regarding the facilities and tools available at educational institutions. The collected data is then analyzed to identify the sentiments contained, namely positive, negative, and neutral. Based on the analysis results, 170 negative sentiments, 135 positive sentiments, and 147 neutral sentiments were obtained. The Naïve Bayes algorithm produces an accuracy value of 77%, precision of 75%, recall of 66%, and F1-score of 7%. These results show that Naïve Bayes can be used to classify student sentiment towards laboratory facilities and equipment, although there is still room for improvement in increasing recall and F1-score. This research provides an overview of the quality of learning facilities and laboratory equipment and identifies areas that require more attention in the improvement and maintenance of facilities in educational institutions.
Analysis of Shallow Groundwater Quality as Consumable Water in Maros Baru District Aquifer Systems, South Sulawesi, Indonesia Emi Prasetyawati Umar; Alfian Nawir; Hariani M. Pakka; Jamaluddin Jamaluddin; Nurfadhilah Sam Tappa; Watcharin Joemsittiprasert
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 1 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.976 KB) | DOI: 10.58524/ijhes.v1i1.55

Abstract

Water is a source of necessity for humans. Water quality is very important to be considered as the source of clean water. Some people in Maros Baru District use ground wells as the source of water needs. Therefore it is important to know the physical quality and pH level of shallow wells and to know the worthiness of shallow wells in Maros Baru District with reference to Permenkes No.492/ 2010. This study examined the feasibility of water based on the physical quality and the pH level of water taken from shallow wells. The research was carried out directly in field with 14 sampling points scattered in the north, east, south, west and at the center of field. The method in observing pH value is by litmus paper and observation on the physical condition of water, well depth, well diameter and surface level of water. The result shows there were 2 locations with saltwater taste, as the location is near from the sea and rivers, while turbidity of the water influenced by condition of surround environment that was not properly maintained. From data processing, it can be concluded that as many as 5 of the 14 sampling points did not meet the eligibility standards of Permenkes No.492/2010 to be used as a source of clean water intended for drinking water.