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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 EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Sains dan Teknologi 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
Department Of Computer Science, Faculty Of Science And Technology State Islamic University Of North Sumatera
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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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%.
Klasifikasi Tingkat Kepuasan Peserta Pelatihan Balai Besar Pelatihan Vokasi dan Produktivitas Menggunakan Algoritma C5.0 Maulana, Fahmi; Kurniawan, Rakhmat
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.733

Abstract

The evaluation of training participant satisfaction at the Center for Vocational Training and Productivity Development (BBPVP) has traditionally relied on conventional methods, resulting in less accurate and unstructured outcomes. The core issue necessitates a data-driven solution to enhance objectivity and reliability. This study aims to develop a C5.0 algorithm-based classification model to automatically measure participant satisfaction levels and identify dominant influencing factors. The methodology includes collecting survey data from 300 respondents across five SERVQUAL attributes (reliability, assurance, responsiveness, empathy, tangibles), data preprocessing, dataset splitting (80:20), and model development using Python’s Scikit-learn library. Results indicate a model accuracy of 98.3% (12% higher than Naïve Bayes), with "assurance" as the most influential attribute (gain ratio: 0.638). Contributions of this research include: (1) providing BBPVP with an accurate data-driven satisfaction evaluation tool, (2) offering strategic recommendations to improve training quality, particularly in assurance, and (3) potential adoption of this method as a national vocational training evaluation standard.
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.
Implementasi Metode ROC dan MABAC pada Aplikasi Pemberian Sanksi Pelanggaran Kedisiplinan Siswa Siregar, Muharram Soleh; R, Rakhmat Kurniawan
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.67144

Abstract

Permasalahan kedisiplinan siswa merupakan aspek penting dalam dunia pendidikan, di mana konsistensi dan keadilan dalam pemberian sanksi terhadap pelanggaran sangat berpengaruh terhadap integritas institusi dan kepuasan seluruh pihak yang terlibat. Ketidaksesuaian sanksi yang diberikan secara manual kerap kali menimbulkan ketidakobjektifan serta menurunkan kepercayaan terhadap sistem penegakan disiplin. Penelitian ini mengusulkan solusi berbasis sistem pendukung keputusan dengan mengimplementasikan metode Rank Order Centroid (ROC) untuk menentukan bobot atribut pelanggaran, serta metode Multi-Attributive Border Approximation area Comparison (MABAC) untuk melakukan perangkingan dan pemilihan jenis sanksi yang paling tepat. Data yang digunakan melibatkan 20 alternatif siswa yang melakukan pelanggaran kedisiplinan dengan mempertimbangkan sejumlah atribut tertentu, seperti jenis pelanggaran, frekuensi, dan dampak terhadap lingkungan sekolah. Hasil pengolahan menunjukkan nilai akhir Si dari masing-masing alternatif, dengan rentang nilai mulai dari -0,348 hingga 0,652. Berdasarkan hasil perhitungan MABAC, siswa dengan nilai Si tertinggi seperti Dirga (A12, 0,652) dan Iwan Setiawan (A18, 0,590) memperoleh sanksi TS04 dan TS03 yang menunjukkan tingkat pelanggaran lebih berat, sedangkan siswa dengan nilai Si rendah seperti Silvina Sasmita (A19, -0,348) dan Harianto Halim (A14, -0,227) diberikan sanksi TS01, yang mencerminkan pelanggaran ringan. Pengujian dilakukan melalui validasi internal dengan membandingkan hasil perhitungan sistem terhadap keputusan manual dari pihak sekolah, menunjukkan konsistensi sebesar 90%, yang menandakan sistem telah mampu menghasilkan keputusan yang akurat dan dapat dipertanggungjawabkan. Implementasi sistem ini diharapkan dapat meningkatkan transparansi, objektivitas, dan keadilan dalam proses pemberian sanksi, serta menjadi referensi bagi sekolah dalam memperbaiki mekanisme penegakan disiplin yang sistematis dan berkeadilan.
Prototype Sistem Pemantauan Kebocoran Gas LPG Menggunakan Sensor MQ-5 dan DHT11 dengan Metode Fuzzy Mamdani Pravda, Michellia Delphi Isfahan; Rakhmat Kurniawan R
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.67148

Abstract

LPG merupakan sumber energi yang umum digunakan dan terjangkau, namun potensi kebocoran gas sering diabaikan. Penelitian ini merancang dan mengimplementasikan sistem prototype pemantauan kebocoran gas LPG berbasis mikrokontroler ESP8266 dengan dua mode kerja, yaitu otomatis (default) dan manual. Sistem menggunakan sensor MQ-5 untuk mendeteksi gas (metana, propana, butana, dan LPG) serta sensor DHT11 untuk mengukur suhu dan kelembaban. Data diolah menggunakan logika fuzzy Mamdani untuk menentukan tingkat bahaya dan menghasilkan output dalam bentuk sinyal PWM (0–255) guna mengontrol buzzer dan exhaust fan. Karena ESP8266 tidak memiliki output analog, PWM digunakan untuk mensimulasikan sinyal analog. Hasil pengujian menunjukkan sistem berfungsi sesuai rancangan dengan tingkat akurasi 100% dalam mendeteksi kebocoran gas dan memberikan respons melalui aktuator secara otomatis. Data pembacaan sensor dan hasil inferensi fuzzy ditampilkan secara real-time melalui OLED display serta dikirim ke database MySQL menggunakan Node-RED dengan protokol MQTT. Sistem juga mampu mengirimkan notifikasi kepada pengguna dengan rata-rata waktu pengiriman ±5 detik setelah deteksi. Sistem ini mendukung pemantauan berbasis IoT secara efisien dan mampu memberikan peringatan dini secara lokal maupun jarak jauh untuk meningkatkan keselamatan pengguna.
Sistem Antrian Pasien Berbasis Web Dengan Algoritma Circular Queue Pada Klinik Pratama Rawat Inap Ar-Razi Nur Aini, Sakina; Kurniawan R, Rakhmat
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 2 (2025): Juli 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i2.67447

Abstract

Dalam dunia kesehatan, efisiensi pelayanan menjadi krusial untuk meningkatkan kepuasan pasien. Klinik Pratama Rawat Inap AR-RAZI menghadapi tantangan antrean pasien yang menumpuk akibat sistem konvensional, menyebabkan waktu tunggu yang lama dan potensi penurunan kualitas layanan. Penelitian ini bertujuan merancang dan mengimplementasikan sistem antrean pasien berbasis web menggunakan algoritma Circular Queue sebagai solusi untuk meningkatkan efisiensi dan kepuasan pasien. Metode penelitian menggunakan waterfall model dengan pengumpulan data melalui observasi, wawancara, dan studi literatur. Sistem ini memungkinkan pasien mendaftar secara online, melihat status antrean waktu nyata, dan memperoleh estimasi waktu pelayanan yang akurat. Implementasi algoritma Circular Queue mengoptimalkan pengelolaan data antrean, memungkinkan pemanfaatan memori yang efisien dengan prinsip First-In First-Out (FIFO), di mana data yang keluar dapat langsung digantikan data baru tanpa menggeser elemen. Hasil pengujian menunjukkan sistem berfungsi dengan baik, mampu menangani data pasien, dan memastikan keamanan data. Dengan demikian, sistem antrean berbasis web ini berhasil meningkatkan efisiensi operasional dan kualitas pelayanan di Klinik Pratama Rawat Inap AR-RAZI, memberikan pengalaman yang lebih baik bagi pasien dan petugas. 
The effectiveness of technology for programming learning with Android Based In UIN SU's Computer Science Study Program Rakhmat Kurniawan Ramli; Ahmad Taufik Al Afkari Siahaan
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 03 (2023): Informatika dan Sains , Edition December 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The popularity of Android devices and the availability of various educational applications will provide many benefits, this is because android supports various multimedia formats, allowing the integration of audio, video, and animation to improve the understanding of concepts and learning content on Android applications can be updated easily. As many as 99% of students and lecturers of UINSU's computer science faculty own android smartphones. Programming material is a complex learning material and difficult for students to understand in both theory and attraction transfer courses. Therefore, interesting learning media is needed to make it easier for students to understand the content of the learning material. The results of this research are the development process, feasibility and implementation results of android application-based programming learning.
Co-Authors Abdul Halim Hasugian Agung Firmansyah 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 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 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 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 Siddik Hasibuan 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 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