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All Journal JURNAL SISTEM INFORMASI BISNIS EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi CESS (Journal of Computer Engineering, System and Science) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Indonesian Journal of Artificial Intelligence and Data Mining IJIS - Indonesian Journal On Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Informatika UNIKA Santo Thomas JurTI (JURNAL TEKNOLOGI INFORMASI) Jiko (Jurnal Informatika dan komputer) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Sistem Informasi dan Aplikasi IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Dedikasi Pendidikan Jurnal Teknologi Terpadu EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Zonasi: Jurnal Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Intelligent Decision Support System (IDSS) G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Simpatik: Jurnal sistem Informasi dan Informatika Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) SENTRI: Jurnal Riset Ilmiah Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer International Journal of Science and Environment SmartComp Jurnal Ilmu Komputer dan Sistem Informasi VISA: Journal of Vision and Ideas Da'watuna: Journal of Communication and Islamic Broadcasting Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced The Indonesian Journal of Computer Science Teknologi : Jurnal Ilmiah Sistem Informasi
Rakhmat Kurniawan R
Universitas Islam Negeri Sumatera Utara
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Measuring Water Content in Hydroponic Plants Based on PH Values and Nutriens Using Fuzzy Logic Microcontroller Based Tsukamoto Julianti, Miranda; Rakhmat Kurniawan R
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4764

Abstract

Hydroponic cultivation is a method of planting without soil by utilizing water containing nutrients and oxygen at certain levels. Regulation and monitoring of pH, nutrients (TDS), and water temperature are crucial factors in the success of a hydroponic system. Inaccuracies in nutrient water management can significantly affect plant growth. This study aims to design an automation system capable of monitoring pH and water nutrient levels using the Fuzzy Tsukamoto method based on the Nodemcu ESP32 microcontroller. The sensors used in this study are the MSP340 pH Module sensor to measure acidity (pH) and the Df Robot Module TDS sensor to detect nutrient levels in water. The Fuzzy Tsukamoto method is applied to make fuzzy logic-based decision-making, where the input values of pH and nutrients are converted into linguistic variables. The fuzzyfication process is carried out to determine the level of plant fertility, while the inference method is used to produce output based on previously set rules. This monitoring system also utilizes the Nutrient Film Technique (NFT) technique with a linear regression method to optimize the use of water pumps, making it more energy efficient. With the design of this system, hydroponic farmers can monitor water conditions automatically and in real-time, increasing efficiency and reducing human error in nutrient water management. The results of this study are expected to provide innovative solutions for the development of more efficient and sustainable hydroponic systems.
Analysis of Drug Sales Patterns in the Belawan Naval Hospital Pharmacy Using Apriori Algorithm Bahari, Mhd Raja Doly; Kurniawan, Rakhmat
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4805

Abstract

Hospital pharmacy plays an important role in ensuring drug availability and effective stock management. With the increasing number of drug redemptions, manual data management becomes inefficient and can lead to understocking or overstocking. Therefore, a method is needed that is able to automatically analyze drug sales patterns to improve stock management efficiency. One approach that can be used is the Apriori algorithm, an effective data mining technique for finding patterns in drug redemptions. This study aims to analyze drug redemption patterns at the Belawan Navy Hospital Pharmacy using the Apriori algorithm. The data used is drug redemption data. The Apriori algorithm is applied to find relationships between drug items that are often purchased together, so that it can provide useful insights in drug stock management. The results of the study showed that the Apriori algorithm successfully identified several significant drug redemption patterns. These patterns can be used to improve the efficiency of drug stock management and ensure timely drug availability, as well as reduce the risk of understocking or overstocking. The results of the study used logistic regression to predict discrete (binary) values from a column based on values from other columns and the accuracy obtained was 1.0 or 100%. This study concludes that the application of data mining with the Apriori algorithm can provide significant benefits in optimizing the management of drug stock redemption in hospital pharmacies.
Prediction of the Number of Patient Visits in a Psychiatric Hospital Prof. Dr. M. Ildrem Using Naive Bayesian Algorithm Syahputra, Zidhane; Kurniawan, Rakhmat
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5145

Abstract

This study was conducted to predict the number of patient visits at Prof. Dr. M. Ildrem Mental Hospital using the Naive Bayes algorithm, which is relevant given the increasing need for global mental health care. The main problem of this study is the difficulty in managing hospital resources efficiently due to unpredictable fluctuations in the number of patient visits. The research aims to apply the Naive Bayes algorithm to predict the number of patient visits and evaluate their performance. The method used is a naïve Bayes algorithm with systematic steps including historical data collection, data preprocessing using LabelEncoder, and dividing the dataset into training data and test data (80:20) where the training data totals 1331 data and the test data has 333 data. The Naive Bayes model is built and tested with metrics such as accuracy, precision, recall, and F1-score. The results of the study based on confusion matrix analysis, the model achieved an accuracy of 0.8108108108108109 or 81%, a precision of 0.8206686930091185 or 82.07%, a recall value of 0.9926470588235294 or 99.26%, and an F1-score of 0.90 or 90%, which shows that this model is quite effective in predicting service units with the dominance of adolescent category patient data where it is concluded that this prediction model is able to provide accurate estimates of patient visits,  supporting the management of hospital resources, and improving the operational efficiency of mental health services. This research is expected to help hospitals in planning facilities and workforce more effectively.
Pengatur Temperatur Minuman pada Dispenser Berbasis Mikrokontroler dengan Logika Fuzzy Mamdani Saragih, Rafif Aprizki; R., Rakhmat Kurniawan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37925

Abstract

The need for hot water is something that is needed in everyday life, with hot water it will facilitate the serving of drinks that are favored by the community such as coffee, milk and tea. However, in certain conditions, a person needs water with varying temperatures around 15°C to 95°C. Variations in water temperature needed in making drinks can affect the quality of the drinks served. The need for a temperature device on the dispenser to make it easier to adjust the water temperature. Dispensers with features that can control water temperature so that someone is easier to set how much water temperature is needed by combining hot and normal water into one output without having to mix, increase or decrease the volume. One of the control techniques that is often used today is control with Mamdani fuzzy logic. In this research, fuzzy controllers are used to keep the temperature stable. The water temperatures used in this dispenser are 65°C for tea, 75°C for milk and 90°C for coffee. The time required to reach the highest temperature of 90 from the normal temperature of 29.50 is 5 minutes. There is a temperature difference on the LCD display with a thermometer during testing, namely for tea 2.30%, milk 2.66% and coffee by 1.66%. These errors can occur due to the tolerance of the components used. From the test results, the application of fuzzy logic in the dispenser for temperature regulation is very effective in stabilizing the water temperature in tea, milk and coffee.
Penerapan Algoritma Backpropagation untuk Prediksi Hasil Panen Padi di Kabupaten Labuhan Batu Utara Tbn, Ahmad Fauza Anshori; R., Rakhmat Kurniawan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.38318

Abstract

Rice is a food crop that has vital benefits and important benefits for human survival. Rice plants are often found in the surrounding environment, especially those living in rural areas. Farmers use various methods to continue to increase rice yields. However, in reality the rice harvest results are not stable from year to year, this is because farmers' businesses still depend on natural factors which have a risk of causing a high chance of crop failure, thus accumulating the risk of low income received by farmers, including in the Regency. North Labauhanbatu so a prediction is needed to find out the future picture of the rice harvest. Predictions are also made so that lowland rice production remains stable. One way that is often used to make predictions is to use artificial neural networks. Artificial Neural Networks (ANN) are designed based on the structure and function of the human brain as a model of intuitive imitation. In an artificial neural network there are a number of neurons. One network can connect to many other networks, and each connection (link) has a weight (weight). Prediction of rice harvest results in Kabuipatein Labuihan Batui Uitara using the backpropagation algorithm. The results of trials carried out with the Rapid Mineir architectural model software with an RMSEi amount of 0.403 +/- 0.000 in the implementation of backpropagation. The smaller the RMSEi (Root Meian Squiareid Eirror) the better the teirseibuit model.
Sentiment Analysis in Determining Service Performance between In-Driver and Gojek based on Public Opinion using the Naive Bayes Method Firmansyah, Agung; Kurniawan, Rakhmat
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4156

Abstract

An application-based transportation system connected to an internet connection that is widely discussed by the public is an online motorcycle taxi. One of the leading online motorcycle taxi companies in Indonesia is Gojek and In-Driver. Each customer has a different level of satisfaction with the services provided by Gojek and In-Driver Indonesia, so there are always pros and cons in the form of suggestions and complaints. Judging from the existing problems, a solution is needed in the form of analyzing the suggestions and complaints received by the company. The problem of classifying a sentiment sentence into certain classes can be solved by the Multinomial Naive Bayes Classifier method. The data used amounted to 1000 data and the data used were the first 500 data and the second 500 tweet data as a comparison value. The results of the gojek data calculation resulted in an accuracy value of 73%, precision of 72%, recall of 100%, and f1-score of 84%. The results of the indriver data calculation obtained an accuracy value of 85.71% accuracy, precision of 85.185%, recall of 95.833%, and f1-score of 90.196%. This proves that the Naïve Bayes classification algorithm is more suitable for use on a smaller amount of data.
Pengatur Kelembaban dan Suhu Kumbung Jamur Tiram Otomatis Menggunakan Mikrokontroller Atmega328 dengan Logika Fuzzy Berbasis Iot Muhammad Abi Muzaki; Rakhmat Kurniawan; Muhammad Siddik Hasibuan
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.3023

Abstract

Fungi live by taking other products from dead organisms and usually only grow in moist places. It is known that the living environment of mushrooms can grow well at a temperature of 16°C - 30°C with a humidity of 80 - 95%. there are several obstacles for mushroom cultivators in oyster mushroom cultivation, seeing changes in temperature and humidity that often occur to increases and decreases in temperature and humidity can occur at any time. To make it easier for farmers to monitor changes in temperature and humidity in mushroom kumbung, an automatic control system is needed that can provide information related to temperature and humidity in real time and when the temperature and humidity are not appropriate, the control system can help maintain temperature and humidity by spraying water, the system This control uses the Atmega328 Microcontroller as a data processor. This control system is designed using fuzzy logic which is expected to help provide the best temperature and humidity in the mushroom kumbung area by using a DHT11 sensor to detect temperature and humidity, and the help of ESP8266 which was developed into an Internet of things to make it easier to monitor temperature and humidity. in real time. In this study, the fuzzy Sugeno method is used because this method is suitable for finding temperature and humidity levels that often change. With this fuzzy logic method, a mathematical circuit is obtained which is used to represent ambiguity, and lack of information.
Penerapan Metode PID pada Sistem Pemberi Pakan Kucing Otomatis Berbasis IOT (Internet of Things) Fadiga, Muhammad; Kurniawan, Rakhmat; Lubis, Aidil Halim
VISA: Journal of Vision and Ideas Vol. 5 No. 1 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v5i1.5772

Abstract

An automatic feeding system that can be monitored and managed remotely is needed amidst the busy schedules of pet owners, especially for cats. As a result, an automatic cat feeder that can be operated and viewed remotely via the Internet of Things was developed in this research. By understanding the properties of loadcell sensors and servo motors, research in this case seeks to create an automatic cat feeding system that uses a PID approach to regulate food according to the cat's needs. For the convenience of remote use, the system also allows monitoring and control using the Telegram application. An ESP32 microcontroller, a servo for food release, a loadcell sensor for food weight measurement, and a camera for cat detection were all used in the development of this research system. An automatic cat feeding system that produces servo motor and load cell sensor calibration values with average error results of 1.84%, 3.86%, and accuracy of 96.14%, 98.16% was successfully developed in this research. With an error percentage of 1.67%, this research was able to produce food that matched the cat food dosage using the PID approach with trial and error tuning, especially with a cat food dosage of 60 grams. Based on the research findings, it can be said that this system works as planned and offers a practical way to feed cats food precisely and automatically.
Sistem Pendukung Keputusan Menggunakan Metode MABAC Dalam Sistem Informasi Bedah Rumah Meilina, Indah; Kurniawan, Rakhmat
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5549

Abstract

The BAZNAS social institution has various programs, one of which is a humanitarian program which includes house renovation assistance. Based on data from BAZNAS, this program was only formed and began to be realized in 2020. Currently, the determination of aid recipients/mustahiq is carried out through subjective assessments. The process of assessing potential aid recipients is still done manually, resulting in problems, namely houses that should not be entitled to aid are found and it takes a long time to determine the recipients of house renovations. This research aims to develop a Decision Support System using the MABAC Method in the Home Surgery Information System in Sigama Village. To make it easier for village officials to determine recipients of house renovation assistance, a web-based Decision Support System (SPK) has been developed. This research concludes that by applying the MABAC method, this system can help villages determine the highest ranking of each available option. Based on calculations using 5 alternatives and 5 criteria, the results show that Alternative 4 in the name of Sahdoni Siregar with a value of 0.343 is the best and is recommended for receiving house renovation assistance in Sigama Village.
Sistem Informasi Absensi Pegawai Menggunakan Location Based Service pada Kantor Camat Berbasis Website Salsabillah, Ayna; Kurniawan R, Rakhmat
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5568

Abstract

Employee attendance information system is one of the important components in human resource management, especially in recording employee attendance and absence. This research aims to design and implement an Employee Attendance Information System using Location Based Service (LBS) at the Sibolangit Sub-District Office. This system utilizes LBS technology to ensure the accuracy of employee location when taking attendance, so as to prevent fraud that may occur with conventional attendance systems. By utilizing GPS-equipped mobile devices, this system allows employees to take attendance only when they are within a predetermined area around the Sibolangit Sub-District Office. The system consists of several main modules, namely employee authentication module, location recording module, and attendance report module. The recorded attendance data will be automatically stored in the database and can be accessed by the staffing department for monitoring and reporting purposes. System testing results show that this LBS-based attendance system can run well and provide accurate results. In addition, this system also received a positive response from employees who felt that this system was easier and more transparent. The implementation of this system is expected to improve employee discipline and efficiency in managing attendance data at the Sibolangit Sub-District Office.
Co-Authors Abdul Halim Hasugian Adnan Buyung Nasution Agung Firmansyah Agung Pratama Ahmad Fauzi Ahmad Taufik Al Afkari Siahaan Aidil Halim Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Alhafiz, Akhyar Alwy Azyari Harahap Amelia, Dara Andre Gusli Agus Riadi Annabil, M Haziq Armansyah Armansyah Armansyah Armansyah Arrafiq, Muhammad Sunni Asnawi, Azi Ayyina, Ayyina Nurhidayah Azhari, Fajar Azka El Husein Lubis, Sultan Bahari, Mhd Raja Doly Bayhaqi, Abdullah Bisri, Cholil Br Rambe, Indri Gusmita Dandi, Muhammad Khairil Dasopang, Buyung Satrio Dian Putri Kinanti Dwisyahputra, Achmad Adbillah Eva Darwisah Harahap Fadiga, Muhammad Fahrul Afandi Fakhriyah, Mardhiyah Fakhrizal, Fiqri Fatwa, Nursalimah Isnaina Fikri Aulia Habibie, Alief Fathul Haliem, Alexander Hanafi, Muhammad Rizky Harahap, Nita Maharani Harahap, Rina Syafiddini Harahap, Shopiah Henni Melisa Hidayat, Zulfy Hidayatullah, Catur HP, Kiki Iranda Hsb, Khoiri Sutan Ibsan, Muhammad Hanafi Ilham Rizki Ananda Ilka Zufria Imam Zaki Husein Nst Ivan Prayuda Julianti, Miranda Jusli, Dara Taqa Assajidah Kesuma Dwi Ningtyas Khairin Nadia Khairunissabina, Khairunissabina Khoiriah, Miftahul Krisdantoro, Rino Lubis, Fahrian Zibran Lubis, Farhan Rusdy Asyhary M. Teguh wijaya Masdaliva, Fita Maulana, Fahmi Meilina, Indah Mey Hendra Putra Sirait Mhd Furqan Mhd Furqan Mhd. Furqan Furqan Mhd.Furqan Muhammad Abi Muzaki Muhammad Fahri, Muhammad Muhammad Ikhsan Muhammad Ikhsan Aji Muhammad Rizki Madani Muhammad Siddik Hasibuan Nasution, Fitri Handayani Nasution, Raihan Hafiz Nazry Luthfy, Fadhlun Noor Azizah Novita Jambak, Indah Nur Aini, Sakina Nurjanah, Trya Nurwana Nazla Saragih Padang, Bermiko Kasah Pravda, Michellia Delphi Isfahan Prayoga, Dio Putri Hanifah Putri, Raissa Ramanda Qasthari, Mohd. Wildan Rafli Bima Sakti Rahmad Syuhada Ramadhan, Alfan Ramadhan, Nuzul Ramadhan, Rio Fadli Ramadhan, Rizky Syahrul Ratna Dewi, Sri Reza Muhammad Rifansyah, Mhd. Roji Rifqi Alwanu Akmal Rina Filia Sari Rina Syafiddini Harahap Rini Halila Nasution Rizki Ananda Putra Fajar Rizky Barus Rizky Pratama Putra Rudi Riyandi Salsabillah, Ayna Sandira, Sri Delwis Saragih, Khoirul Azmi Saragih, Rafif Aprizki Sari, Desliana Sihombing, Rizki Andika Silva Ukhti Filla Silvi Joya Arditna Br Bukit Sinaga, Imam Adlin Sinaga, Muhammad Nabil Siregar, Muharram Soleh Siti Afifah Siregar Siti Ayu Hadisa Siti Nurul Aini, Siti Nurul Siti Sarah Harahap Siti Sumita Harahap Sodik, Imam Sri Marwah Badrin Sriani Sriani Sriani Stephani Silalahi Suhardi Suhardi Suhardi Suhardi, Suhardi Syahira, Melani Alka Syahputra, Pii Syahputra, Zidhane Syarifudin, Zaini Tbn, Ahmad Fauza Anshori Tri Asyura Mashuri Triase Triase Triase Triase, Triase Wahyu Kurniawan wijaya, M. Teguh Wini Istya Sari Lubis Yahya, Arfigo YENI SAFITRI Yudha, Muhammad Yudha Pratama Zahron, Almeranda Haryaveda Nurul