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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Infotech Journal Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inotera Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Sosial Humaniora Sigli JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Electrical Engineering International Journal of Engineering, Science and Information Technology Brilliance: Research of Artificial Intelligence Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Journal Geuthee of Engineering and Energy Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Rekayasa elektrika
Muchlis Abdul Muthalib
Universitas Malikussaleh
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Implemention of system landslide disaster mitigation based internet of things Tua, Rendi Sahila; Muthalib, Muchlis Abdul
Journal Geuthee of Engineering and Energy Vol 3, No 1 (2024): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v3i1.35

Abstract

Landslide mitigation tools are specifically made to detect angular slopes in the ground. This tool is a series of simple tools that utilizes an ESP32 microcontroller and real-time monitoring media via smartphone. This landslide mitigation tool consists of a tool frame which is generally made of iron, a mpu6050 sensor and a controller box. The main power source for the tool comes from a battery with a capacity of 12 V 7A. This tool is equipped with other components such as LCD, MPU6050 sensor, relay and siren. The designed tool will be placed in areas where landslides often occur. The MPU6050 sensor plays a role in detecting slopes on the ground. When the sensor detects a predetermined tilt level, the sensor will send data to the microcontroller. The microcontroller will process the data and send notifications to the smartphone via the blynk application. Along with this, data will also be displayed on the LCD and the sirens will be active to provide an indication that a landslide will occur. Based on testing, the average notification display delay on the LCD is very small, namely 0.26s, while the average notification delay on smartphones via the blynk application is 0.30s. The percentage measurement error by the MPU6050 sensor is 1.2%.
Development of a Decision Support System for Movie Recommendations Using the Evaluation Based on Distance from Average Solution M. Raiyan Firdaus; Mukhlis Abdul Muthalib; Rini Meiyanti
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

Digital transformation has changed how people enjoy media content, including films, through digital platforms like YouTube. Recommendation systems play a vital role in helping viewers find movies that match their preferences, utilizing methods such as Simple Additive Weighting and Collaborative Filtering to enhance recommendation accuracy and relevance. In this study, the Evaluation Based on Distance From Average Solution (EDAS) method is applied to provide more independent and user-focused movie recommendations. EDAS works by analyzing user profiles, which contain keywords or features related to films of interest. Based on an analysis of 300 film alternatives, the results show that Dune: Part Two (A199) ranks highest with a qualitative utility score of 1, followed by Spider-Man: Across the Spider-Verse (A182) with a score of 0.932194, and Furiosa: A Mad Max Saga (A201) with a score of 0.853523. The lowest-ranked alternative is Cobweb (A158) with a qualitative utility score of 0. Through the EDAS approach, this movie recommendation system offers a more relevant and satisfying viewing experience for users.
Power Quality Analysis of a 20kV Primary Distribution Line Using ETAP Power Station 12.6.0 at Sidikalang Substation Arnawan Hasibuan; Rizki Yaldi; Muchlis Abdul Muthalib; Muhammad; Dedi Fariadi
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The rapid economic growth and population increase in Indonesia have significantly raised the demand for electrical energy. The electricity distribution system, having the highest rate of disruptions among power system components, has become the primary focus for improvement efforts. This study aims to evaluate the quality of electricity distribution lines at the Sidikalang Substation using ETAP Power Station 12.6.0. The analysis is crucial for understanding power usage efficiency, identifying potential disturbances, and evaluating distribution system performance. The main challenge lies in effectively evaluating distribution line quality, involving the monitoring of critical parameters such as voltage, current, and power factor. Utilizing ETAP Power Station 12.6.0 enables in-depth analysis, aids decision-making, and facilitates future planning. This research draws upon scientific literature and industry guidelines to provide a strong theoretical foundation. The study's findings are expected to contribute to enhancing the quality and reliability of electricity distribution systems in Indonesia, thereby supporting the nation's sustainable development goals in the energy sector.
Prediction Of Unemployment Rate Using The Fuzzy Time Series Chen Model Method Annisa Karima; Dahlan Abdullah; Muchlis ABD Muthalib; Nurdin Nurdin; Muhammad Daud
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7310

Abstract

Unemployment is a significant socio-economic problem in Lhokseumawe City that requires serious attention from policymakers. The unemployment rate fluctuates from year to year, making accurate forecasting an important aspect in formulating effective strategies and policies to reduce unemployment. One method that can be used to analyze and forecast time series data with uncertainty is the Fuzzy Time Series (FTS) method, which applies fuzzy logic concepts to handle vague and imprecise data patterns. In this study, the Fuzzy Time Series method is applied to predict the number of unemployed people in Lhokseumawe City. The data used are historical unemployment data over a period of 10 years, from 2013 to 2022. The research process begins with defining the universe of discourse (U), determining the number and length of interval classes, defining fuzzy sets on U, and fuzzifying the unemployment data. Furthermore, Fuzzy Logical Relationships (FLR) are identified and grouped into Fuzzy Logical Relationship Groups (FLRG). The defuzzification process is then carried out to obtain crisp values, followed by forecasting calculations.The analysis was conducted using the RStudio application. The forecasting results show that the predicted number of unemployed people in 2023 is 10,514.125, which is rounded to 10,514 people. The accuracy of the forecasting model is evaluated using Mean Absolute Percentage Error (MAPE) and Average Forecasting Error Rate (AFER), both of which yield values of 6.70%. Since the MAPE and AFER values are less than 10%, the forecasting results can be categorized as very good and reliable for decision-making purposes.
IoT-Based LPG Gas Leak Monitoring System with Automatic Alarms Muhammad Hafizal; Safwandi Safwandi; Kurniawati Kurniawati; Muchlis Abd Muthalib; Said Fadlan Anshari
SISTEMASI Vol 15, No 6 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i6.6348

Abstract

Liquefied Petroleum Gas (LPG) leaks are one of the leading causes of fires in households and LPG distribution facilities. Limited public awareness and delays in detecting gas leaks can significantly increase the risk of property damage and endanger human safety. Therefore, this study aims to design and develop an Internet of Things (IoT)-based monitoring system for 3 kg LPG gas leaks that provides automatic, real-time early warning notifications. The proposed system employs an MQ-2 gas sensor to detect LPG concentration, a NodeMCU ESP8266 as the main controller and data communication module, and a buzzer, LED, and LCD as local warning indicators. A threshold-based method is implemented to classify safe and hazardous conditions according to predefined gas concentration limits. In addition, the system is integrated with remote notifications via Telegram, enabling users to receive alerts even when they are away from the monitored location. Experimental results demonstrate that the proposed system can accurately detect LPG gas leaks under various operating conditions and automatically send warning notifications whenever the gas concentration exceeds the predefined threshold. These findings indicate that the system is effective, responsive, and has strong potential to enhance user safety in the use of LPG.
Prediction Model of Empty Fruit Bunch Production at PKS Sawit Hulu, Langkat Regency Based on Historical DataUsing the Arima Method Mayah Sapriani; Muchlis Abdul Muthalib
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1819

Abstract

This study aims to develop a forecasting model for Empty Fruit Bunch (EFB) production at PKS Sawit Hulu, Langkat Regency, using the Autoregressive Integrated Moving Average (ARIMA) method based on historical production data. The dataset consists of daily time series data collected from 2021 to 2025. The research process includes data collection, preprocessing, data cleaning, stationarity testing, parameter identification using the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF), ARIMA model development, forecasting, and model performance evaluation using Mean Absolute Percentage Error (MAPE) and Mean Squared Error (MSE). The evaluation results show an MSE value of 4,807,984,891.58 and a MAPE value of 29.32%. Based on model comparison and residual diagnostic testing, ARIMA (1,0,1) was selected as the best model because it produced lower error values and satisfied the white noise assumption. These results indicate that the model is adequate for representing the pattern of EFB production data and can be used for short-term forecasting. The forecasting results also show that EFB production fluctuates over time in line with changes in the amount of Fresh Fruit Bunches (FFB) processed during each period. These fluctuations are influenced by operational conditions, processing activities, and the availability of raw materials. The developed model is expected to assist PKS Sawit Hulu in production planning, waste management, storage capacity planning, biomass utilization, and operational decision-making. Overall, the ARIMA model provides a practical, systematic, and reliable approach for forecasting industrial production data based on historical patterns accurately.
PENGGUNAAN INTERNET OF THINGS UNTUK PENINGKATAN EFEKTIVITAS DAN EFISIENSI SISTEM SMART PARKING Ikramullah Ikramullah; Taufiq Taufiq; Muhammad Sayuti; Muhammad Daud; Muchlish Abdul Muthalib
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 2 (2026): JATI Vol. 10 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i2.17491

Abstract

Pertumbuhan jumlah kendaraan yang terus meningkat menimbulkan berbagai permasalahan dalam pengelolaan parkir, seperti kesulitan menemukan slot kosong, pemborosan waktu, dan potensi kemacetan di area parkir. Permasalahan tersebut menunjukkan bahwa sistem parkir konvensional yang masih bergantung pada pengelolaan manual belum mampu memberikan pelayanan yang efektif dan efisien. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem Smart Parking berbasis Internet of Things (IoT) guna meningkatkan efektivitas dan efisiensi pengelolaan parkir. Metode penelitian yang digunakan adalah metode kuantitatif dengan tahapan perancangan sistem, realisasi prototipe, pengujian perangkat keras dan perangkat lunak, serta analisis kinerja sistem. Sistem dikembangkan menggunakan ESP32-CAM sebagai pengendali utama, sensor infrared (IR) untuk mendeteksi status slot parkir, sensor ultrasonik HC-SR04 untuk mendeteksi kendaraan masuk dan keluar, servo motor sebagai palang otomatis, serta LCD sebagai media informasi lokal. Data parkir disinkronkan secara real-time ke Firebase Realtime Database dan ditampilkan melalui aplikasi web. Hasil pengujian menunjukkan bahwa sensor IR memiliki akurasi rata-rata 95%, sensor ultrasonik sebesar 97%, waktu respons servo motor sekitar 0,5 detik, tampilan LCD mencapai akurasi 100%, serta waktu sinkronisasi data ke aplikasi web rata-rata 1,6 detik. Hasil tersebut membuktikan bahwa sistem Smart Parking berbasis IoT mampu menyediakan informasi ketersediaan parkir secara cepat, akurat, dan real-time, sehingga berpotensi menjadi solusi alternatif dalam pengelolaan parkir cerdas skala kecil hingga menengah sebagai bagian dari implementasi konsep smart city.
IMPLEMENTASI METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT (WASPAS) DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PESTISIDA TANAMAN PADI Muhammad Naufal; Muchlis Abdul Muthalib; Rizki Suwanda
Jurnal Teknologi Terapan and Sains 4.0 Vol 7 No 1 (2026): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v7i1.26696

Abstract

Penelitian ini mengembangkan sistem pendukung keputusan berbasis web untuk mengatasi subjektivitas dalam pemilihan pestisida pada tanaman padi di Dinas Pertanian Kabupaten Bireuen. Sistem ini menerapkan metode Weighted Aggregated Sum Product Assessment (WASPAS) untuk mengevaluasi 29 alternatif pestisida berdasarkan lima kriteria, yaitu harga (30%), volume racun per hektar (25%), ukuran kemasan (10%), masa kedaluwarsa (20%), dan luas cakupan (15%). Sistem dikembangkan menggunakan bahasa pemrograman PHP dan basis data MySQL dengan model pengembangan waterfall, serta divalidasi melalui pengujian BlackBox Testing. Hasil perhitungan metode WASPAS menunjukkan bahwa Sidabas 500 EC memperoleh nilai tertinggi sebesar 0,82936 sehingga direkomendasikan sebagai pestisida terbaik untuk pencegahan hama pada tanaman padi. Sistem yang dibangun mampu melakukan proses perangkingan secara otomatis dan menyajikan hasil secara terstruktur, sehingga mendukung pengambilan keputusan yang lebih objektif dan efisien dalam upaya meningkatkan produktivitas padi secara berkelanjutan di Kabupaten Bireuen. Kata kunci: Sistem Pendukung Keputusan, Pestisida, WASPAS, Tanaman Padi
ALAT PENIMBANG BERAT DAN TINGGI BADAN BAYI DI POSYANDU RILTIME BERBASIS WEB MENGGUNAKAN HC-SR04 Mukhlis Abdul Muthalib, S.T., M.Eng., Ph.D.
TECHSI - Jurnal Teknik Informatika Vol. 14 No. 2 (2023)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v14i2.15360

Abstract

Meningkatnya penggunaan teknologi dalam berbagai bidang, ini menyebabkan manusia dapat melakukan berbagai hal yang dapat membantu meringankan suatu pekerjaan yang dilakukannya. Kesehatan merupakan salah satu hal yang perlu dijaga oleh semua orang. Pos Pelayanan Terpadu (POSYANDU) adalah pusat pelayanan antara petugas kesehatan dengan masyarakat luas. Dimana posyandu berperan dalam masyarakat untuk menanggulangi masalah kesehatan masyarakat terutama dalam upaya penurunan angka kematian bayi dan angka kelahiran. Salah satu besaran fisis yang sering diukur dalam berbagai keperluan adalah Tinggi dan berat badan.   Berat badan pada bayi memerlukan mekanisme untuk melakukan kontrol balita pada posyandu membutuhkan beberapa alat yaitu alat pengukur tinggi badan dan alat pengukur berat badan dan mencatat secara manual yang terkadang data tersebut dapat terjadi hilang. Oleh kerana itu dimana ini dinilai kurang representatif dan memerlukan waktu yang cukup lama. Sehingga hal ini dibutuhkan proses yang lebih cepat dan akurat dimana alat pengukur tinggi dan berat badan yang dapat bekerja secara otomatis dengan output digital. Sensor HC-SR04 ini dapat mengukur panjang/tinggi badan bayi secara realtime, sedangkan sensor loadcell dapat mengukur berat badan pada bayi. Penelitian ini menggunakan NodeMCU untuk pengolahan nilai data sensor yang di ambil dan NodeMCU mengirim ke MySQL menggunakan Wi-Fi untuk penampil dan penyimpanan data bayi didalam web, dan Arduino membantu dengan pembacaan sensor guna menambah port inputan sensor. Berdasarkan latar belakang tersebut bertujuan untuk membuat suatu sistem pengukuran berat dan tinggi badan bayi Berbasis Web menggunakan sensor HC-SR04 secara realtime. Hasil dari pengujian alat ini menunjukkan bawa sensor HC-SR04 yang terpasang dapat mendeteksi jarak dengan akurasi tinggi dan juga pada loadcell dapat mengukur berat badan bayi secara akurat. Localhost XAMPP yang terintgrasi dengan alat dapat menyimpan dan menampilkan data sensor yang diterima. Kata Kunci: Posyandu, NodeMCU, HC-SR04, Load Cell, Web
Analysis of the Effect of Loading on the Transformers Usage Time Adi Syahputra Ritonga; Muchlis Abdul Muthalib; Muhammad Daud; Hamdi Akmal Lubis; Biswas Babu Pokhrel; Sudip Phuyal; Umakant B. Gohatre
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 1 No. 2 (2021): September 2021
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v1i2.5237

Abstract

The reliability and stability of the system in the operation of the electric power system is very important, in order to provide comfort in service to consumers. The transformer is a very important component in the electric power system, because it is used as a voltage adjuster for the load being served. This study discusses the effect of loading and temperature on the life shrinkage of 36/60 MVA power transformers in block 3 and block 4 carried out at PT. PJB UBJ O&M PLTMG Arun Lhokseumawe, Aceh. From the calculation results after 4 years the transformer operates, if the transformer is given a 100% load, the transformer will experience an age difference of 2.52 p.u/day so that it has a remaining life for of 10 years. As for the transformer that is given a load of 90%, the transformer will experience an age difference of 1.44 p.u/day so that it has a remaining life to perform operations for another 18 years. Then for a transformer that is given a load of 80%, the transformer will experience an age difference of 0.67 p.u/day so that it will have a remaining life to carry out the operation again for another 38 years. From the above calculation, the origin of the temperature obtained for the ONAN type of cooler in block 3 is 0.71 p.u/day and in block 4 it is 0.70 p.u/day. While the ONAF type of cooler in block 3 is 0.004 p.u/day and in block 4 it is 0.005 p.u/day. This is in accordance with the regulation SPLN50/1982 regarding transformer life shrinkage.
Co-Authors Abdullah A.Z Adi Syahputra Ritonga Adi Syahputra Ritonga Adi Syahputra Ritonga Aditiyo, Andre Yazid Aja Anis Monika Aldi Fadilah Isma Aman, Khairul Andik Bintoro Annisa Karima Arnawan Hasibuan Asran Asran Asran, Asran Asri Asri Ayu Rosmala, Ayu Rosmala Badriana, Badriana Biswas Babu Pokhrel Dahlan Abdullah Dedi Fariadi Dheo Pratama Fahrian Roid Fajar Rahmansyah Fakhri Azhari Faris Bagaswara Fauza, Muchtar Gohatre, Umakant B. Habib Muharry Yusdartono Hamdi Akmal Lubis Hamdi Akmal Lubis, Hamdi Akmal Ikramullah Ikramullah Irfan Irfan Kartika Kartika Kurniawati Kurniawati M. Raiyan Firdaus Manutur JT Siagian Mayah Sapriani MMSI Irfan ,S. Kom Muhammad Muhammad Daud Muhammad Fikry Muhammad Hafizal Muhammad Ikhwanus Muhammad Naufal Muhammad Sayuti Munirul Ula Nazmi Roan Pratama Nurdin Nurdin Nurfebruary, Nanda Sitti Pendriadi Pendriadi Phuyal, Sudip Pokhrel, Biswas Babu Raihan Putri Ramadhani, Hardiyansyah Rini Meiyanti Ritonga, Adi Syahputra Rizki Suwanda Rizki Yaldi Rizky Aulia Safwandi Safwandi Said Fadlan Anshari Salahuddin Salahuddin Sari, Cut Jora Selamat Meliala Sudip Phuyal Taufiq Taufiq Taufiq Taufiq Tua, Rendi Sahila Umakant B. Gohatre Wanda Syahayu Yuli Safrina Zakia, Syarifah