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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems Engineering and Business Intelligence InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Language Literacy: Journal of Linguistics, Literature, and Language Teaching IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik TRIDARMA: Pengabdian Kepada Masyarakat (PkM) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) IJISTECH Journal of Applied Data Sciences Yayasan Cita Cendikiawan Al Khwarizmi Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) Jurnal Masyarakat Indonesia Prioritas : Jurnal Pengabdian Kepada Masyarakat Data Sciences Indonesia (DSI) International Journal of Multidisciplinary Sciences and Arts Jurnal Manajemen Dan Akuntansi Medan Journal of Computer Science and Research Deli Sains Informatika JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development PERFECT: Journal of Smart Algorithms Jurnal Sistem Informasi Komputer
Muhammad Khoiruddin Harahap
Politeknik Ganesha Medan, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Digitizing Local Archives and North Sumatera Culture through Literacy Using the E-Library Website Maulina, Intan; Harahap, Muhammad Khoiruddin
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11849

Abstract

Digitizing local archives and culture through literacy using an e-library website is a reflection as well as an effort to save phenomenal memories which are unique and hardly repeated. An archive is a crucial component of social life and literacy, and it must be conserved because of its historical significance. Archives need to be preserved because the nation’s cultural treasures due to the fact beyond activities documented via data are legal evidence. Technology and information advancements are one of the options that can be used by the public to store online documentation and archiving. Literature can reflect the historical history of a country and are also a cultural driver in the cultural development of society. The type of research used in this study is library research. Data collection techniques were carried out by observation, documentation studies, and interviews at the five research locations, namely the North Sumatra Provincial Library and Archives Service, Tebing Tinggi City Library and Archives Service, Pematangsiantar Library and Archives Service, Regency of Central Tapanuli Library and Archives Service, Sibolga City Library and Archives Service and North Tapanuli Library and Archives Service. The result of this research is that the best library service was shown by the library in Tebing Tinggi, but the Regency of Central Tapanuli Library and Archives Service area has an unprecedented and excellent collection of books and they have got an e-library from Kubuku as a digital library for society.
Machine Learning Models for Predicting Flood Events Using Weather Data: An Evaluation of Logistic Regression, LightGBM, and XGBoost Maharina, Maharina; Paryono, Tukino; Fauzi, Ahmad; Indra, Jamaludin; Sihabudin, Sihabudin; Harahap, Muhammad Khoiruddin; Rizki, Lutfi Trisandi
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.503

Abstract

This study examines flood prediction in Jakarta, Indonesia, a pressing concern due to its significant implications for public safety and urban management. Machine Learning (ML) presents promising methodologies for accurately forecasting floods by leveraging weather data. However, flood prediction in Jakarta remains challenging due to the city’s highly variable weather patterns, including fluctuations in rainfall, humidity, temperature, and wind characteristics. Existing methods often struggle with these complexities, as they rely on traditional ML models such as K-Nearest Neighbors (KNN), which may not capture certain patterns or provide high accuracy and robustness. Therefore, this study proposes three ML methods—Logistic Regression (LR), LightGBM, and XGBoost—to predict floods accurately. Five performance metrics (i.e., accuracy, area under the curve (AUC), precision, recall, and F1-score) were used to measure and compare the accuracy of the algorithms. The proposed method consists of three main processes. The first process involves data preprocessing and evaluation using 14 different ML models. In the second process, additional feature engineering is applied to improve the quality of the data. Finally, the third process combines the previous steps with oversampling techniques and cross-validation methods. This structured approach aims to enhance the overall performance of the analysis. The experimental results show that Process 3 significantly improves performance compared to Processes 1 and 2. The model predicts floods with an accuracy score of 93.82% for LR, 96.67% for XGBoost, and 96.81% for LightGBM, respectively. Thus, the proposed model offers a solution for operational decision-making in flood risk management, including flood mitigation planning.
Design of an automatic temperature and humidity measuring device in the oyster mushroom cultivation room Permata, Riski Surya; Ilham, Dirja Nur; Risky, Muharratul Mina; Harahap, Muhammad Khoiruddin; Kurniadi, Sepri
PERFECT: Journal of Smart Algorithms Vol. 1 No. 1 (2024): PERFECT: Journal of Smart Algorithms, Article Research January 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i1.3

Abstract

Advances in science and technology have become the idea of a tool for the development of oyster mushroom cultivation which has increased following the large market demand. Cultivating oyster mushrooms in areas with high temperatures requires special care techniques. Current technological developments make it easier to maintain oyster mushroom cultivation, namely by automatically regulating the temperature and humidity in the cultivation room. With automatic temperature control, it can make maintenance easier and reduce failure in oyster mushroom production. To realize the simulation of automatic temperature and humidity control, several pieces of hardware are needed, namely temperature and humidity sensors, DC fan, LCD, power supply, and Arduino Uno as the processor. which are then combined into a system. The growth of oyster mushrooms is greatly influenced by the surrounding environmental conditions. Therefore, we must know the conditions that are suitable for growth before we cultivate oyster mushrooms. Usually, the growth of oyster mushrooms will be optimal throughout the year if the cultivation location is by its natural habitat, namely in a mountainous area with an altitude of between 400 - 800 meters above sea level and an air temperature of around 21 - 29 oC with a humidity level of around 60 - 80%. In general, farmers cultivate natural mushrooms in a room to obtain environmental conditions suitable for growth. Because mushrooms are very sensitive to temperature and humidity, it is necessary to monitor the temperature and humidity in the growing room.
Design of Safety Worker Helmets Based on the Internet of Things Urmila, Tasya; Candra, Rudi Arif; Ilham, Dirja Nur; Harmayani, Harmayani; Harahap, Muhammad Khoiruddin
PERFECT: Journal of Smart Algorithms Vol. 1 No. 1 (2024): PERFECT: Journal of Smart Algorithms, Article Research January 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i1.4

Abstract

Safety helmets are used to protect the head from impacts, blows, or falls of sharp and heavy objects that float or slide in the air. This helmet can also protect the head from heat radiation, fire, chemical splashes, or extreme temperatures. The main benefits and uses of a safety helmet itself are to protect the worker's head, so that it can be protected from falling objects and others, and to minimize injuries that will befall the worker himself. The use of safety helmets is very much needed by workers who work in work areas such as oil mines, factories, building construction projects, and various other things. In this study, a helmet will be designed that can be used to detect the presence of its wearer with the case title Design of Safety Worker Helmets Based on the Internet Of Things, the working system of this tool is the entire series of tools from the smart helmet system to detect the location of work accidents installed on a helmet, precisely on the inside of the helmet with the position of Arduino UNO, shock sensor, GPS module, and battery in the rear position of the helmet. For the GSM module, limit switch, and tilt sensor at the top of the helmet. The voltage source from the tool is taken directly from the battery with a voltage of 12 volts.
Implementation of The Internet of Things on Monitoring and Control Tools Hydroponic System Ilham, Dirja Nur; Setiawan, Herry; Harahap, Muhammad Khoiruddin; Firnanda, Ary; Budiansyah, Arie
PERFECT: Journal of Smart Algorithms Vol. 1 No. 1 (2024): PERFECT: Journal of Smart Algorithms, Article Research January 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i1.6

Abstract

This Hydroponics is a way of growing crops without using soil. Soil that is actually a place for plants to grow can be supported with sand, husk charcoal and rockwool. In a hydroponic system, nutrients and the pH value of water are absolutely necessary for plant development, every plant that requires different levels of nutrients and pH values ​​of the air, if the nutrient levels are lacking then the plant will not grow as well as if the nutrient content is more then the plant will be poisoned. nutrients, water nutrients will continue to decrease along with the development of the plant itself. Therefore, a measuring tool for nutrient levels in hydroponic plant irrigation systems with android monitoring is made so that humans can monitor hydroponic plants. The tool used by Arduino nano as a microprocessor that is integrated into the TDS sensor works to measure nutrient levels and the pH sensor works to measure the pH value of the air, ESP8266 wifi module on NodeMCU as a gateway that aims to be a liaison from Arduino nano to the web server, Using websites and android applications that act as remote controls for nutrient pumps, pH up, pH down and hydroponic water pumps.
Body Temperature Measuring Device Based On Nodemcu Esp8266 Miza, Khairul; Ilham, Dirja Nur; Candra, Rudi Arif; Budiansyah, Arie; Harahap, Muhammad Khoiruddin
PERFECT: Journal of Smart Algorithms Vol. 1 No. 2 (2024): PERFECT: Journal of Smart Algorithms, Article Research July 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i2.25

Abstract

Health is a state of well-being of the body, soul, and society that allows everyone to live productively socially, and economically. Health maintenance is an effort to overcome and prevent health disorders that require examination, treatment, and care. The research method of the body temperature measuring device uses a thermal camera based on the Internet of Things (IoT). It uses two parts, namely input and output, where the input is a thermal camera sensor that functions to measure body temperature in humans while the production is in the form of a display on the LCD and in the Blynk application. The purpose of this tool is to produce a tool that can read human body temperature. The tool that is produced will later be able to read body temperature accurately like existing measuring instruments. The results of the thermal camera tool will detect human body temperature at a distance of 2 to 3 cm. Where each body temperature reading will be displayed on the LCD and the Blynk application, making it easier to find out the body temperature that has been detected by the sensor.
Microcontroller-Based Automatic Bat Pest-Repellent Device Candra, Rudi Arif; Ilham, Dirja Nur; Budiansyah, Arie; Harahap, Muhammad Khoiruddin
PERFECT: Journal of Smart Algorithms Vol. 2 No. 1 (2025): PERFECT: Journal of Smart Algorithms, Article Research January 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i1.27

Abstract

Bat habitats often coexist with human life, especially in homes, these mammals usually perch on the roofs of rooms or warehouses. In general, bats are parasites and pests for human life, therefore researchers have designed an automatic bat pest-repellent tool based on a microcontroller. This study aimed to create an automatic bat pest-repellent tool based on a microcontroller and electronic components as support for the circuit. This research method used three parts, namely input, output, and control. Where Arduino functioned as a controller for the entire circuit, while the ultrasonic sensor functioned as input while the Df player and speaker functioned as output. In this study, the researcher conducted 10 tests to determine the performance of the designed tool. After conducting 10 tests, the speaker produced a sound to repel bats, and the ultrasonic sensor was used as a detector of bat movements, in this test the distance of the ultrasonic sensor detected bats has been programmed, it was 5 cm to 50 cm.
Real-Time Classification of Local Orange Fruit Quality Using YOLO (You Only Look Once) and SVM (Support Vector Machine) Methods Harahap, Muhammad Khoiruddin; Candra, Rudi Arif; Budiansyah, Arie; Aritonang, Romulo P.; Zulfan, Zulfan; Saputra, Devi Satria
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.55

Abstract

Oranges are a fruit that we often encounter and are even consumed by people because of their various benefits. Oranges have commercial value in Indonesia and have a fairly wide reach. In order to increase competitiveness, oranges must also meet market standards, both domestic and foreign, so that they can be accepted by consumers. Of course, in this case, orange selection is very important. increasing sales and market competition by sellers, important indicators in selecting citrus fruit are in terms of size and color. In general, the selection of citrus fruit is done manually and based on human thinking, which causes several weaknesses that must be corrected, including requiring a long time, human visual limitations, and being influenced by human psychology itself. This is what causes inconsistencies in selection. oranges and does not comply with existing market requirements. So a research was carried out regarding the quality classification of local citrus fruit using the YOLO (You Only Look Once) and SVM (Support Vector Machine) methods in real time. In the comparison made between the two methods used, Yolo was found to be the best method for classifying citrus fruit.
Prototype of IoT-Based Fruit Alcohol Level Measurement Tool Nursila, Nursila; Ilham, Dirja Nur; Yunan, Amsar; Harahap, Muhammad Khoiruddin; Candra, Rudi Arif
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i1.1078

Abstract

The effect of alcohol on health is very large if you consume too much, and the fact that excessive alcohol levels can interfere with digestion can cause eye function disorders, decreased brain and nerve function as well as cancer. Knowing the alcohol content in fruits that are suitable for consumption by the body from an early age is very important. Based on this problem, this study aims to create a prototype measuring instrument for the alcohol content of fruits using the Blynk application. This circuit consists of 3 circuits, namely the input part in the form of an Mq3 sensor, the control part in the form of Nodemcu, and the output port in the form of the Blynk application. From the results of testing tools for four samples including durian, grapes, papaya, and apples for 25 times the test of the fruit is peeled for the next 2 hours the average percentage of durian alcohol content is 28.57%, grapes are 12.68%, papaya is 5.79 %, and apples by 18.6%. In this study, there is also the notification facility to the third smartphone that the alcohol content exceeds the alcohol content which is not good from the value set on the device.
Analisis Prediktif untuk Keputusan Bisnis : Peramalan Penjualan Husein, Amir Mahmud; Lubis, Fachrul Rozi; Harahap, Muhammad Khoiruddin
Data Sciences Indonesia (DSI) Vol. 1 No. 1 (2021): Article Research Volume 1 Issue 1, June 2021
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v1i1.1196

Abstract

Peramalan penjualan produk adalah aspek utama dari manajemen pembelian, persediaan yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan maupun secara ekominis. Makalah ini fokus mencoba menyajikan penerapan analisis prediktif dengan mengadopsi kerangka kerja Data Science (ilmu data) untuk menemukan wawasan yang berguna dalam pengambilan keputusan bisnis khususnya tentang peramalan penjualan produk di masa depan. Kerangka CRISP-DM diusulkan dengan tahapan pemahasan bisnis, pemahaman dan persiapan data, exploratory data analysis (EDA) dan pemodelan. Berdasarkan hasil pengujian data penjualan yang dievaluasi berdasarkan RMSE dan MAE, algoritma XGBoost menghasilkan prediksi berada dalam 1,3% kemudian ARIMA sebesar 1.6%, masih lebih baik dibandingkan LinearRegression, RandomForestdan LSTM dengan tingkat kesalahan sebesar 1.81%, 1.97%, 2.21% pada masing-masing algoritma dari data aktual.
Co-Authors . Zulfan AA Sudharmawan, AA Abdul Samad Adidtya Perdana, Adidtya Aditya, Vikra Afriani, Dina Amir Mahmud Husein Amir Mahmud Husein, Amir Mahmud Amir Mahmud Husein, Mawaddah Harahap, Amir Amsar Yunan Amsar, Amsar Anugreni, Fera Ariany, Vince Arie Budiansyah Aritonang, Romulo P. Atabiq, Fauzun Ayesha Muazzam Candra, Rudi Arif Clawdia, Jhessica Dian Pratiwi, Aulya Dicky Apdilah Diding Kusnady Dimas Sasongko Dina Afriani Eko Pramono Epi, Yus Erwinsyah Sipahutar Evan Afri Evan Afri Fachrul Rozi Lubis Ferdy Riza Firnanda, Ary Ginting, Rico Imanta Handayani, Saskia Hantono Hantono Haris Lubis, Abdul Hariyanti, Irma Herry Setiawan Herry Setiawan Ilham, Dirja Nur Indra Surya, Indra Indra, Jamaludin Intan Maulina, Intan Jannah, Dina Miftahul Jhessica Clawdia Juanda Hakim Lubis Khairuman Khairuman Man Lubis, Fachrul Rozi Maharina, Maharina Maqfirah Mhd. Zulfansyuri Siambaton Miza, Khairul Mohammed Saad Talib Muhammad Hamza Muhammad Rian Almadani Mursidah natasha, Syarifah fadillah Natasya, Syarifah Fadillah Novita, Hilda Yulia Nursila Nursila Nursila, Nursila Nurul Khairina Nurul Khairina Nurul Khairina Pania, Sadri Paryono, Tukino Patel , Hrishitva Permata, Riski Surya Rina Rina Rizki, Lutfi Trisandi Rizky, Muharratul Mina Rosihana, Riscki Elita S.SE,MM, Yanti Salsa Dilah Cicilia Putri Sandi Pratama Saputra, Devi Satria Sepri Kurniadi Sihabudin Sihabudin, Sihabudin Sridewi, Nurmala Surya Hendraputra Syifa Setiawan, Muhammad Afdhalu Talib, Mohammed Saad Urmila, Tasya Wahyudi Lubis Xu, Chlap Min Zhu, Kong Huang Zonyfar, Candra