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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 Decode: Jurnal Pendidikan Teknologi Informasi Simpatik: Jurnal sistem Informasi dan Informatika Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal IPTEK Bagi Masyarakat Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Computer Science and Informatics Engineering 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 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
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Veterinary Other

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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.
Analisis Sentimen Pengguna Terhadap Layanan Aplikasi Seabank Indonesia di Instagram Menggunakan Metode Support Vector Machine Arrafiq, Muhammad Sunni; 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.v5i4.5620

Abstract

Various aspects of life have been significantly changed by rapid technological advances; this includes the banking industry, which has developed digital banking services. SeaBank is a digital banking application that allows us to do many things with our money, from saving to making online transactions with our mobile phones anytime and anywhere. By using the Support Vector Machine (SVM) method to classify user comments on the SeaBank Indonesia Instagram account into positive and negative comments, this research aims to find analytical ways to improve service quality and customer satisfaction through this sentiment. Data is processed in several stages, such as cleaning, normalization, tokenization, stopword removal, and stemming. Then the SVM algorithm is used to classify sentiment. These performance algorithms are measured by metrics such as accuracy, precision, recall, and F1 score. The results of the analysis of 1201 comment data show that 536 data are positive and 665 data are negative. The Support Vector Machine method shows an accuracy of 89%, precision of 93%, recall of 83%, and fl-score of 88%.
Analisis Sentimen Terhadap Kesehatan Mental Remaja Menggunakan Metode Naive Bayes Syahputra, Pii; 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.v5i4.5644

Abstract

Everyday life, especially for teenagers, now involves internet technology. Twitter (now known as X) is one of the most popular social media platforms. Sentiment analysis of social media data can improve people's understanding of mental health problems. This research uses the Naive Bayes algorithm to analyze the sentiments of X social media users regarding adolescent mental health. Another goal of this research is to measure how effective and accurate the technique is in identifying sentiment and presenting analysis results in the form of word clouds and graphs. Data was collected from the beginning of 2024 to the present from tweets with the hashtag Mental Health. The research results show that the Naive Bayes algorithm has an effective level of accuracy in classifying sentiment towards health using the InSetLexicon dictionary. The data preprocessing process also includes cleaning, tokenizing, normalization, stockwords, and stemming. In addition, performance evaluation is carried out using confusion matirx to calculate precision, recall, F-1 Score, and accuracy. The classification results obtained obtained an accuracy of 0.8049792531120332 or around 80%, precision of 83%, recall of 68% and F-1 Score of 74.9%.
Aplikasi Penjualan Dengan Metode Cross Selling Pada Toko Roti Mayco Bread Ayyina, Ayyina Nurhidayah; Rakhmat Kurniawan
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 15 No 2 (2025): July
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v15i2.5701

Abstract

Perkembangan teknologi digital mendorong toko roti Mayco Bread untuk mengoptimalkan sistem penjualannya melalui aplikasi berbasis cross selling. Metode cross selling digunakan untuk meningkatkan nilai transaksi dengan merekomendasikan produk tambahan yang relevan kepada pelanggan. Penelitian ini merancang dan mengembangkan aplikasi penjualan menggunakan pendekatan UML, termasuk diagram use case, activity, dan sequence untuk memodelkan proses bisnis. Hasil implementasi menunjukkan bahwa sistem ini dapat membantu meningkatkan efisiensi transaksi, mempercepat pemesanan, serta mendorong pelanggan untuk membeli lebih banyak produk melalui rekomendasi yang ditampilkan. Ke depannya, aplikasi ini dapat dikembangkan lebih lanjut dengan integrasi kecerdasan buatan untuk menyempurnakan strategi cross selling berbasis preferensi pelanggan.
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 Amanda Zachra Harahap Amelia, Dara Andre Gusli Agus Riadi Armansyah Armansyah Armansyah Armansyah Arrafiq, Muhammad Sunni Asnawi, Azi Ayyina, Ayyina Nurhidayah Azhari, Fajar Bahari, Mhd Raja Doly Bayhaqi, Abdullah Bisri, Cholil Br Rambe, Indri Gusmita Dandi, Muhammad Khairil Dasopang, Buyung Satrio Dian Putri Kinanti Dimas Andrean Andrean Dwisyahputra, Achmad Adbillah Eva Darwisah Harahap Fadhlun Nazry Luthfy Fadiga, Muhammad Fahmi Maulana 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 Sodik Imam Zaki Husein Nst Indah Wahyuni, Utari 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 Haziq Annabil M. Teguh wijaya Masdaliva, Fita Meilina, Indah Mey Hendra Putra Sirait Mhd Furqan Mhd Furqan Mhd. Furqan Furqan Mhd.Furqan Mohd. Wildan Qasthari Muhammad Abi Muzaki Muhammad Fahri, Muhammad Muhammad Ikhsan Muhammad Ikhsan Aji Muhammad Rizki Madani Muhammad Siddik Hasibuan Muhammad Sowban Adilla Nasution, Fitri Handayani Nasution, Raihan Hafiz Noor Azizah Novita Jambak, Indah Nur Aini, Sakina Nurjanah, Trya Nurwana Nazla Saragih Padang, Bermiko Kasah Pravda, Michellia Delphi Isfahan Prayoga, Dio Prayoga, Hafizh Putri Hanifah Putri, Raissa Ramanda Rafli Bima Sakti Rahmad Syuhada Rahmatsyah Ananta Putra Ginting Raissa Amanda Putri Ramadhan, Alfan Ramadhan, Nuzul Ramadhan, Rio Fadli Ramadhan, Rizky Syahrul Reza Muhammad Rifansyah, Mhd. Roji Rifqi Alwanu Akmal Rina Filia Sari Rina Syafiddini Harahap Rini Halila Nasution Ritonga, Larasati Rince Pratita 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 Sri Marwah Badrin Sriani Sriani Sriani Stephani Silalahi Suhardi Suhardi Suhardi Suhardi, Suhardi Sultan Azka El Husein Lubis Syahira, Melani Alka Syahputra, Pii Syahputra, Zidhane Syarifudin, Zaini Tbn, Ahmad Fauza Anshori Tri Asyura Mashuri Triase Triase Triase Triase, Triase Wahyu Kurniawan Wini Istya Sari Lubis Yahya, Arfigo YENI SAFITRI Yudha, Muhammad Yudha Pratama Zahron, Almeranda Haryaveda Nurul