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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 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 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 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
State Islamic University Of North Sumatra
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Sistem Informasi Pelayanan Orang Tua Menggunakan Rule-Based Decision Support System untuk Meningkatkan Transparansi dan Komunikasi Antara Sekolah dengan Orang Tua di SMK Bandung Percut Sei Tuan Fakhrizal, Fiqri; Kurniawan R, Rakhmat
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 4 (2024): OCTOBER-DECEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i4.2518

Abstract

This research develops a decision support system using the Rule-Based Decision Support System (RB-DSS) method to enhance transparency and communication between the school and parents of students at SMK Bandung 1 Percut Sei Tuan, Deli Serdang. The research methodology involves data collection through literature reviews, interviews, and direct field observations. The collected data is analyzed and processed using the RB-DSS algorithm. The criteria included in the decision support system encompass academic grades, attendance, school fee payments, and environmental development. The study demonstrates that the RB-DSS decision support system can deliver more precise and effective results, significantly improving transparency and communication between the school and parents within the school environment. This enhanced communication fosters a collaborative atmosphere, ensuring that parents are well-informed and actively engaged in their children's educational progress
Sentiment Analysis Of Indonesian State Army Police Neutrality Sentiment Towards The 2024 Election On X Using The Support Vector Machine Algorithm Yudha, Muhammad Yudha Pratama; Rakhmat Kurniawan R
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13841

Abstract

The accompanying goals are created: One method for figuring out the order of feeling examination in the balance of military police towards the 2024 political decision depends on popular assessment in SVM technique in arranging opinion investigation in the balance of military police towards the 2024 races in light of 2024 general assessment in X. In a leading examination, the stages utilized are the exploration system. This was finished to coordinate the exploration stages. The technique of this examination is quantitative. An exploration area is where a specialist completes research, particularly in catching peculiarities or examination that really happens at the exploration area to get precise and genuine examination information. The consequences of the testing did were to decide the capacity of the framework that had been made to complete feeling investigation on opinion towards the lack of bias of the TNI and Polri during the political race Research begins with compiling, specifically determining the points to be discussed. The subject of this research is the execution of message mining in testing the balance of military police feelings towards the 2024 political decisions in X using the Help vector machine1 algorithm. Tweet Information Collection,In this review, scientists utilized 800 tweet information.. The consequences of the opinion examination did will be introduced as a disarray framework, where through the disarray network and characterization report the degree of exactness of the exploration that has been completed can be determined.It is trusted that the aftereffects of this assessment can give a thorough image of the public's discernment on Twitter with respect to the lack of bias of the TNI and Polri in sorting out races.
Using Fuzzy Tsukamoto Method In Forecasting The Amount Medication Requrementsat In The Hospital Bayhaqi, Abdullah; kurniawan, Rakhmat
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13926

Abstract

The pharmaceutical installation as one of the hospital service locations is an inseparable part of the hospital health service system which is oriented towards patient service, including pharmaceutical services needed by patients such as consumable medical equipment that is affordable for all levels of society and the provision of quality medicines. The problem that arises is the uncertain number of patients and the medicines needed by each patient are different and often the supply of medicines that are currently needed by the community is empty, while medicines that are less needed are in abundant stock. Mistakes in ordering medicines can cause shortages or excesses of medicine stock. They tend to only use estimates of the amount of remaining stock without any special methods being used. Even hospital pharmacies tend to buy too many medicines because of uncertain demand and fear of shortages. A method that can help in predicting the amount needed for medicines is by applying the fuzzy Tsukamoto method. The prediction process begins with testing drug data in 2022 to predict the amount needed for medicines in 2023 before finally the drug data for 2023 is used to predict the amount needed in 2024.The prediction process will use drug sales data in the form of the amount of inventory, the amount needed and remaining stock to build a prediction model that projects the amount of drug need in the year 2023. This approach will involve analyzing historical data and applying the Tsukamoto method to produce predictions of the amount needed for all drugs in the following year.
APLIKASI PENERJEMAH BAHASA BATAK TOBA KE BAHASA INDONESIA MENGGUNAKAN ALGORITMA BOYER MOORE BERBASIS ANDROID Stephani Silalahi; Rakhmat Kurniawan R; Aidil Halim Lubis
Simtek : jurnal sistem informasi dan teknik komputer Vol. 9 No. 1 (2024): April 2024
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v9i1.364

Abstract

Sedikitnya pengetahuan dan minimnya pola pelestarian juga pengetahuan tentang Bahasa Batak Toba di Indonesia menyebabkan bahasa tersebut kurang terjaga kelestarianya terutama bagi para kalangan muda yang terus mengikuti perkembangan zaman. Hal tersebut dikarenakan proses globalisasi dan urbanisasi yang berpotensi memicu terjadinya asimilasi dan akulturasi budaya, terutama didaerah perkotaan. Keadaan tersebut memicu terbentuknya bahasa baru (bahasa gaul) yang lebih disukai terutama oleh kalangan pemuda yang tanpa disadari hal tersebut membuat kita kehilangan identitas sebagai masyarakat yang memiliki suku dan adat istiadat masing – masing dan munculnya sekolah nasional dan internasional yang mewajibkan siswa untuk berkomunikasi menggunakan bahasa asing. Oleh karena itu, perlu adanya pola pembelajaran yang lebih efektif agar Bahasa Batak Toba tetap terjaga kelestariannya. Salah satunya dengan membuat aplikasi penerjemah dari Bahasa Batak Toba ke dalam Bahasa Indonesia dengan menggunakan algoritma Boyer Moore Berbasis Android. Sistem yang dibuat memiliki 100 kosa kata Batak Toba yang nantinya dapat diterjemahkan ke dalam bahasa indonesia. Aplikasi ini juga dibuat sebagai salah satu penyebaran dan pengenalan Bahasa Batak Toba ke masyarakat luar sehingga Bahasa Batak Toba akan tetap terjaga kelestariannya karena aplikasi penerjemah ini mampu menerjemahkan dari Bahasa Batak Toba ke dalam Bahasa Indonesia atau sebaliknya dengan baik yang didasari acuan kamus Batak Toba-Indonesia yang berlaku.
Design and Development of A Web-Based Internet Complaint Information System using A Rule-Based Method at PT Integra Kreasitama Solusindo Fakhriyah, Mardhiyah; Kurniawan, Rakhmat
IJISTECH (International Journal of Information System and Technology) Vol 8, No 2 (2024): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i2.355

Abstract

This study focuses on the development of an information system specifically designed to address issues related to service disruption complaints frequently encountered by customers of PT Integra Kreasitama Solusindo. In an era marked by significant advancements in information technology, it is imperative for service companies to ensure that their customers can easily and efficiently report any disruptions they experience. This research includes comprehensive system design steps, encompassing the creation of an intuitive user interface, the development of a well-structured database, and the modeling of the overall system workflow. The primary objective of the developed information system is to facilitate the reporting of complaints, allow customers to monitor the progress of their complaints, and enable the support team to provide prompt and relevant responses. A rigorous testing methodology was employed during the development phase to ensure the system's performance and reliability. Evaluation results demonstrate that the system significantly optimizes the efficiency of managing service disruption complaints, resulting in faster response times. Additionally, the system enhances the overall management of customer service. This research underscores the importance of leveraging information technology to improve customer service quality, thereby positioning PT Integra Kreasitama Solusindo as a competitive entity in the digital era. The findings of this research are expected to offer valuable insights for other companies facing similar challenges in managing customer complaints
Lobster Sales Prediction Using Adaptive Neuro Fuzzy Inference System (ANFIS) In Simeulue District Sandira, Sri Delwis; Kurniawan, Rakhmat; Hasibuan, Muhammad Siddik
IJISTECH (International Journal of Information System and Technology) Vol 7, No 6 (2024): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i6.339

Abstract

The rapid progress of technology and information is making the challenges of the past become a tantalizing reality of the fourth industrial revolution. Rapid technological progress is marked by major developments in all aspects of life, such as economics, education, health, social and cultural. In the economic world, increasingly sophisticated technological developments will help the work of business actors and force them to innovate and be creative in improving the quality, capacity and products produced. With the vast lobster market, lobster demand experiences a sharp increase every year along with an increase in prices which will provide profits for fishermen in Simeulue. Therefore, predictions of lobster sales are quite important for fishermen in Semeulue to predict lobster sales that will be marketed abroad and domestically the following day, so that fishermen can estimate the lobster seeds or lobster catch needed optimally. In the prediction process The sales data obtained is in the form of a sales history report from 2017 to 2022, then the data obtained will be calculated using the adaptive neuro fuzzy inference system (ANFIS) to then obtain sales prediction results for the following year. And using MAPE calculations with the results of lobster sales training data calculations, the accuracy yields above 99% with a value of 0.0000168031. Therefore, this research will discuss predictions of lobster sales using the adaptive neuro fuzzy inference system (ANFIS) in Simeulue Regency.
Lobster Sales Prediction Using Adaptive Neuro Fuzzy Inference System (ANFIS) In Simeulue District Sandira, Sri Delwis; Kurniawan, Rakhmat; Hasibuan, Muhammad Siddik
IJISTECH (International Journal of Information System and Technology) Vol 7, No 6 (2024): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i6.339

Abstract

The rapid progress of technology and information is making the challenges of the past become a tantalizing reality of the fourth industrial revolution. Rapid technological progress is marked by major developments in all aspects of life, such as economics, education, health, social and cultural. In the economic world, increasingly sophisticated technological developments will help the work of business actors and force them to innovate and be creative in improving the quality, capacity and products produced. With the vast lobster market, lobster demand experiences a sharp increase every year along with an increase in prices which will provide profits for fishermen in Simeulue. Therefore, predictions of lobster sales are quite important for fishermen in Semeulue to predict lobster sales that will be marketed abroad and domestically the following day, so that fishermen can estimate the lobster seeds or lobster catch needed optimally. In the prediction process The sales data obtained is in the form of a sales history report from 2017 to 2022, then the data obtained will be calculated using the adaptive neuro fuzzy inference system (ANFIS) to then obtain sales prediction results for the following year. And using MAPE calculations with the results of lobster sales training data calculations, the accuracy yields above 99% with a value of 0.0000168031. Therefore, this research will discuss predictions of lobster sales using the adaptive neuro fuzzy inference system (ANFIS) in Simeulue Regency.
Design and Development of A Web-Based Internet Complaint Information System using A Rule-Based Method at PT Integra Kreasitama Solusindo Fakhriyah, Mardhiyah; Kurniawan, Rakhmat
IJISTECH (International Journal of Information System and Technology) Vol 8, No 2 (2024): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i2.355

Abstract

This study focuses on the development of an information system specifically designed to address issues related to service disruption complaints frequently encountered by customers of PT Integra Kreasitama Solusindo. In an era marked by significant advancements in information technology, it is imperative for service companies to ensure that their customers can easily and efficiently report any disruptions they experience. This research includes comprehensive system design steps, encompassing the creation of an intuitive user interface, the development of a well-structured database, and the modeling of the overall system workflow. The primary objective of the developed information system is to facilitate the reporting of complaints, allow customers to monitor the progress of their complaints, and enable the support team to provide prompt and relevant responses. A rigorous testing methodology was employed during the development phase to ensure the system's performance and reliability. Evaluation results demonstrate that the system significantly optimizes the efficiency of managing service disruption complaints, resulting in faster response times. Additionally, the system enhances the overall management of customer service. This research underscores the importance of leveraging information technology to improve customer service quality, thereby positioning PT Integra Kreasitama Solusindo as a competitive entity in the digital era. The findings of this research are expected to offer valuable insights for other companies facing similar challenges in managing customer complaints
DISAIN KURIKULUM INTER-DISIPLINER BERBASIS KKNI: PROGRAM STUDI ILMU KOMPUTER DENGAN FOKUS SOFT COMPUTING DAN INTELLIGENT SYSTEM Armansyah, Armansyah; Kurniawan, Rakhmat
Jurnal Dedikasi Pendidikan Vol 8, No 2 (2024): Juli 2024
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/dedikasi.v8i2.5085

Abstract

The development of technology demands Computer Science graduates to have interdisciplinary knowledge and skills. Traditional curricula are less adaptive in addressing the dynamic industry needs and focus on developing soft skills. This article discusses the design of an interdisciplinary curriculum based on KKNI for Computer Science programs with a focus on soft computing and intelligent systems. This curriculum design integrates knowledge and skills from various disciplines, with an emphasis on the development of soft skills. The curriculum structure is divided into two tracks: the Mandatory Track focusing on the fundamental foundations of Computer Science and soft skills, and the Elective Track focusing on deepening interests and talents in the field of soft computing and intelligent systems, such as Artificial Neural Networks, Microcontrollers, Data Mining, Embedded Systems, Fuzzy Logic, and Computer Vision. This research adopts a Research and Development (R&D) approach with the ADDIE model. Data are collected through surveys, interviews, and document analysis. It is expected that this curriculum design will produce Computer Science graduates with comprehensive, adaptive knowledge and skills, ready for the digital era workforce, particularly in the field of soft computing and intelligent systems.
Clustering Daerah Rawan Angin Puting Beliung Pada Kabupaten Di Sumatera Utara Dengan Algoritma K-Means Ramadhan, Rizky Syahrul; Rakhmat Kurniawan R; Muhammad Siddik Hasibuan
Jurnal Ilmiah Komputasi Vol. 23 No. 2 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 2, Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.2.3578

Abstract

Provinsi Sumatera Utara merupakan daerah dengan topografi yang berbeda-beda di tiap kabupatennya dimana terdiri dari dataran tinggi, dataran rendah, pegunungan dan pantai. Dengan keadaan seperti itu sering terjadi bencana alam salah satunya angin puting beliung. Masalah yang terjadi adalah bagaimana mengetahui daerah yang rawan angin puting beliung agar mengurangi kerugian dan korban jiwa. Salah satu cara yang dapat dilakukan adalah untuk mengetahui daerah yang rawan angin puting beliung adalah dengan menggunakan teknik data mining. Adapun metode yang digunakan dalam penelitian ini adalah algoritma k-means clustering. Algoritma k-means clustering dapat mengelompokkan data yang memiliki karakteristik yang sama menjadi satu kelompok dan data yang memiliki karakteristik yang berbeda dikelompokkan menjadi kelompok lainnya. Data yang digunakan yaitu parameter angin puting beliung dari 33 kabupaten/kota dan 181 column data. Hasilnya diperoleh cluster 0 atau daerah dengan potensial rawan bencana angin puting beliung rendah sebanyak 19 daerah dan cluster 1 atau daerah dengan potensial rawan bencana angin puting beliung tinggi sebanyak 14 daerah.
Co-Authors Abdul Halim Hasugian 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 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 Ramadhan, Alfan Ramadhan, Nuzul Ramadhan, Rio Fadli Ramadhan, Rizky Syahrul Ratna Dewi, Sri Reza Muhammad Rifansyah, Mhd. Roji Rifqi Alwanu Akmal Rina Filia Sari Rini Halila Nasution Rizki Ananda Putra Fajar 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 Sriani, S Stephani Silalahi Suhardi Suhardi Suhardi Suhardi, Suhardi Syahira, Melani Alka Syahputra, Pii Syahputra, Zidhane Syarifudin, Zaini Tbn, Ahmad Fauza Anshori 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