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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 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
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Taksonomi Fintech: Klasifikasi dan Implikasi Teknologi Finansial di Era Digital Harahap, Muhammad Khoiruddin; Hariyanti, Irma; Epi, Yus; Natasya, Syarifah Fadillah; Afri, Evan
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 3 No. 03 (2023): Jasmien
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v3i03.518

Abstract

Penelitian ini bertujuan untuk memberikan pandangan komprehensif dan terstruktur tentang ekosistem fintech melalui pendekatan taksonomi berbasis Taksonomi Bloom Revisi 2001. Penelitian ini mengidentifikasi dan mengklasifikasikan berbagai jenis fintech, termasuk aplikasi pembayaran digital, peer-to-peer lending, dan teknologi blockchain. Pendekatan taksonomi ini membantu dalam memahami konsep dan teknologi yang digunakan dalam fintech, memfasilitasi adopsi dan aplikasi praktis. Analisis hubungan dan dampak fintech terhadap ekosistem keuangan, seperti regulasi, inovasi teknologi, dan adopsi oleh pengguna, memberikan wawasan yang mendalam. Evaluasi efektivitas dan efisiensi berbagai jenis fintech mengungkapkan aspek keamanan, kemudahan penggunaan, dan biaya transaksi, yang menjadi dasar rekomendasi perbaikan. Penelitian ini juga mendorong penciptaan solusi baru dan inovatif dalam fintech, seperti strategi keamanan baru dan model bisnis inovatif. Hasil penelitian ini menawarkan wawasan dan solusi praktis yang dapat diterapkan untuk meningkatkan kualitas dan inklusi keuangan di era digital.
Pencegahan Stunting Melalui Pemberdayaan Ekonomi Keluarga Di Desa Klumpang Kampung Natasha, Syarifah Fadillah; Epi, Yus; Hariyanti, Irma; Ariany, Vince; Surya, Indra; Harahap, Muhammad Khoiruddin
Jurnal Masyarakat Indonesia (Jumas) Vol. 3 No. 01 (2024): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v3i01.88

Abstract

Stunting merupakan salah satu masalah kesehatan yang serius dan kompleks di Indonesia, terutama di daerah pedesaan. Program pengabdian masyarakat ini bertujuan untuk mencegah stunting melalui pemberdayaan ekonomi keluarga di Desa Klumpang Kampung. Kegiatan yang dilakukan meliputi penyuluhan gizi, pelatihan kewirausahaan, serta pemanfaatan lahan pekarangan untuk budidaya tanaman pangan dan peternakan kecil. Pendekatan partisipatif digunakan untuk memastikan keterlibatan aktif masyarakat dalam seluruh tahapan program. Hasil dari kegiatan ini menunjukkan peningkatan pengetahuan dan kesadaran masyarakat mengenai pentingnya gizi seimbang, serta peningkatan pendapatan keluarga melalui kegiatan ekonomi produktif. Secara keseluruhan, program ini berhasil meningkatkan status gizi anak-anak dan mengurangi risiko stunting. Program ini diharapkan dapat menjadi model untuk upaya pencegahan stunting di desa-desa lain dengan kondisi serupa
Role of Artificial Intelligence in Livestock and Poultry Farming Patel , Hrishitva; Samad, Abdul; Muhammad Hamza; Ayesha Muazzam; 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.v7i4.11837

Abstract

One of the technologies, artificial intelligence (AI), requires quick adoption in the livestock sector. The use of AI technology can be highly beneficial in a number of key areas in the livestock business, including monitoring, forecasting, optimizing the growth of farm animals, contend with pests, diseases, threats of biosecurity, and monitoring farm animals and farm management. Livestock farms will be helped by artificial intelligence to gather and analyses of data in order to precisely forecast consumer behavior, including purchasing patterns, top trends, etc. Operation of farm will be done by using automatic means which directly minimize the expense and increase the quality of egg, milk and meat products but this system needs some extra investment to start.
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.
Co-Authors . Zulfan AA Sudharmawan, AA Abdul Haris Lubis Abdul Samad Adidtya Perdana, Adidtya 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. Aulya Dian Pratiwi Ayesha Muazzam Candra Zonyfar Candra, Rudi Arif Clawdia, Jhessica Dicky Apdilah Diding Kusnady Dimas Sasongko Dina Afriani Dina Miftahul Jannah Eko Pramono Epi, Yus Erwinsyah Sipahutar Evan Afri Evan Afri Fachrul Rozi Lubis Fauzun Atabiq Ferdy Riza Firnanda, Ary Hantono Hantono Hariyanti, Irma Harmayani Herry Setiawan Herry Setiawan Hilda Yulia Novita Ilham, Dirja Nur Indra Surya, Indra Indra, Jamaludin Intan Maulina, Intan Jhessica Clawdia Juanda Hakim Lubis Khairuman Man Kurniadi, Sepri Lubis, Fachrul Rozi Maharina Maharina Maharina, Maharina Maqfirah Mhd. Zulfansyuri Siambaton Miza, Khairul Mohammed Saad Talib Muhammad Afdhalu Syifa Setiawan Muhammad Hamza Muhammad Rian Almadani Mursidah natasha, Syarifah fadillah Natasya, Syarifah Fadillah Nurmala Sridewi Nursila Nursila Nursila, Nursila Nurul Khairina Nurul Khairina Nurul Khairina Pania, Sadri Paryono, Tukino Patel , Hrishitva Permata, Riski Surya Rico Imanta Ginting Rina Rina Rizki, Lutfi Trisandi Rizky, Muharratul Mina Rosihana, Riscki Elita S.SE,MM, Yanti Salsa Dilah Cicilia Putri Sandi Pratama Saputra, Devi Satria Saskia Handayani Sihabudin Sihabudin, Sihabudin Surya Hendraputra Urmila, Tasya Vikra Aditya Wahyudi Lubis