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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Techno.Com: Jurnal Teknologi Informasi CESS (Journal of Computer Engineering, System and Science) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknoinfo Riau Journal of Empowerment Jurnal Informatika Kaputama (JIK) Jusikom: Jurnal Sistem Informasi Ilmu Komputer JATI (Jurnal Mahasiswa Teknik Informatika) JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan INCODING: Journal of Informatics and Computer Science Engineering Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Rizki Muliono
Universitas Medan Area
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Sistem Informasi Manajemen Data Surat Dengan Algoritma Blowfish Sitopu, Essay Puspita; Khairina, Nurul; Muliono, Rizki; Muhathir, Muhathir
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 6 No. 1 (2022): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2022
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v6i1.7964

Abstract

Perkembangan teknologi informasi yang semakin pesat saat ini menuntut kita untuk mampu mengikuti perkembangannya. Komunikasi secara digital di era modern dapat menjadi salah satu ancaman akan adanya penyadapan, penyalahgunaan informasi, dan pencurian data penting yang tidak diinginkan oleh pihak yang tidak berwenang. Apalagi jika informasi tersebut bersifat rahasia dan memliki ruang lingkup yang luas dalam kenegaraan. Oleh karena itu, keamanan penyimpanan data menjadi sangat penting. Data yang terdapat pada surat masuk ataupun surat keluar dalam satu sekolah juga memliki kerahasiaan yang harus dijaga, kemana surat dikirimkan dan dari mana surat berasal juga menjadi salah satu hal yang perlu dijaga kerahasiannya. Atas dasar inilah peneliti ingin membangun sistem informasi manajemen surat yang berfokus pada penyimpanan data surat atau database surat. Dari berbagai metode penyandian yang ada hingga saat ini, salah satunya adalah metode Kriptografi Blowfish yang menggunakan blok cipher 64-bit dengan panjang kunci variabel. Proses enkripsi pada penelitian ini merupakan proses memberikan kunci rahasia pada surat tersebut agar surat tersebut berubah menjadi tulisan sandi yang tidak dapat dipahami oleh pihak yang tidak berwenang. Proses deskripsi merupakan proses menterjemahkan kembali surat yang telah terahasia agar pihak sekolah dapat membaca surat yang dimaksud. Dari hasil pengujian sistem informasi, sistem informasi manajemen surat dapat menerapkan Algoritma Blowfish dengan baik, hal ini ditandai dengan adanya perubahan nomor surat, tanggal pengiriman surat serta tujuan pengiriman surat pada saat proses enkripsi maupun pada saat proses dekripsi.
ANALISIS PERBANDINGAN MENGGUNKAN METODE TOPSIS DAN WASPAS DALAM PENENTUAN KARYAWAN TELADAN Sri Wahyuni; Rizki Muliono; Nurul Khairina; Muhathir
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 1 (2023): JATI Vol. 7 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i1.6295

Abstract

CV. Multisindo Karya selaku industri konsultan teknologi data pada cara penentuan karyawan teladan saat ini masih menggunakan cara pemantauan langsung. Namun, proses ini dinilai belum efektif dan belum bisa mengakomodir terhadap hal-hal lain yang harusnya mendukung penilaian karyawan sehingga memungkinkan terjadinya kesalahan dalam penilaian dan memperlambat proses penentuan karyawan teladan acuan sedang memakai cara kalkulasi sebagai buku petunjuk, cara ini pastinya menghabiskan durasi cukup lama. Proses penilaian dengan menggunakan beberapa kriteria yang digunakan yaitu , kriteria dalam penilaian karyawan seperti disiplin kerja, tanggung jawab, komunikasi dan kerjasama, pemahaman dan penguasaan pekerjaan, dan inisiatif. Dengan memakai metode Technique for order Performance by Similarity to Ideal Solution, serta metode Weighted Aggregated Sum Product Assesment penulis merancang suatu aplikasi yang dapat melaksanakan cara penentuan karyawan teladan dengan hasil yang dapat dibanding antara kedua tata cara. Bersumber pada hasil kalkulasi dari tata cara TOPSIS memberikan hasil Ira Astriani Saragih dengan angka TOPSIS 0, 748, Serta menggunakan tata cara WASPAS memberikan hasil Ira Astriani Saragih dengan angka WASPAS 0,960. Dan tingkat akurasi yang didapat metode TOPSIS ialah 49,67% dan WASPAS ialah 50,33%.
RANCANG BANGUN APLIKASI E-LEARNING DENGAN IMPLEMETASI ALGORITMA FISHER YATES SHUFFLE DALAM PENGACAKAN SOAL UJIAN Irfansyah; Rizki Muliono; Susilawati
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 1 (2023): JATI Vol. 7 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i1.6296

Abstract

E-Learning merupakan media yang digunakan untuk melakukan proses pembelajaran secara online. Setiap E-Learning mempunyai fitur yang berbeda-beda sesuai dengan keperluan masing-masing dalam melakukan proses pembelajaran. Fitur E-Learning yang banyak digunakan adalah fitur ujian. Ujian dilakukan sebagai tolak ukur untuk mengetahui tingkat pemahaman siswa selama pembelajaran. Penelitian ini fokus pada fitur pengacakan soal ujian untuk memastikan setiap siswa mendapatkan urutan soal yang berbeda dengan komposisi soal yang sama. Algoritma Fisher Yates Shuffle menghasilkan permutasi acak secara berurut untuk menghindari pengulangan urutan yang sama. Hasil pengujian yang telah dilakukan menunjukan bahwa dari 100 sampel siswa dan data soal yang diacak sebanyak 30 soal dengan soal yang ditampilkan kepada siswa sebanyak 15 soal menggunakan algoritma Fisher Yates Shuffle berhasil menghasilkan seperti yang diharapkan dan tidak terjadi pengulangan urutan soal yang sama oleh setiap siswa.
Perancangan Sistem Informasi Desa Gunung Malintang Kecamatan Barumun Tengah Kabupaten Padang Lawas Siregar, Yusril Izza Haholongan; Muliono, Rizki
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 4, No 1 (2025): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v4i1.5654

Abstract

Systems that are still manual or direct recording that is not in accordance with their function will run for a very long time and take a lot of time, where manual systems still rely heavily on recording that prioritizes accuracy and observation as the main focus in the implementation process. This research aims to design and build a web-based information system to replace the manual recording system used by village officials in Gunung Malintang Village, Central Barumun District, Padang Lawas Regency. The system is designed using the PHP programming language with MySQL database. The system design follows the System Development Life Cycle (SDLC) approach with a waterfall model that includes requirements analysis, design, implementation, and system testing. The results of the study show that the designed information system is able to improve the efficiency of data management, reduce recording errors, and speed up the village administration process. This system not only makes it easier for village officials to manage data, but also provides benefits to the community through faster and more accurate services. With the implementation of this information system, it is hoped that village governance will become more modern and transparent, supporting the improvement of the quality of public services in rural areas.
Involvement of Various Selection Methods for Genetic Algorithms in Determining the Optimal Production Schedule Problem Muliono, Rizki; Silviana, Nukhe Andri; Novita, Nanda
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2632

Abstract

This research investigates using genetic algorithms (GA) to optimize production scheduling in Medan's shoe industry. The study compares traditional manual and First Come First Serve (FCFS) methods against a GA approach, incorporating selection variations such as Boltzmann, Fitness Uniform Selection Scheme (FUSS), Exponential Rank Selection, and Roulette Wheel Selection. The optimal production order is derived from the chromosome with the highest fitness. Results indicate that GA with FUSS selection significantly reduces production time from 73,630 minutes to 45,650 minutes, achieving a 35% improvement in efficiency. This optimization is attributed to FUSS’s ability to maintain a diverse population, preventing premature convergence and ensuring a broader solution for space exploration. Additionally, it was found that using a smaller population size relative to the number of generations yields better optimization results. The study also demonstrates that while Roulette Wheel Selection shows more variability, it achieves higher optimization over time than FCFS. The practical implications of these findings are substantial for the shoe industry, including faster production cycles, better resource allocation, and an enhanced ability to meet customer demands. These benefits are exemplified by implementing the SISPROMA application, an innovative production scheduling information system that leverages machine learning to optimize scheduling in the manufacturing industry. This study provides valuable insights into applying genetic algorithms for production scheduling, highlighting their potential to enhance operational efficiency and reduce costs. Future research should explore additional optimization techniques and real-world applications to validate and extend these findings, ensuring broader applicability and continuous improvements in manufacturing efficiency.
DECISION SUPPORT SYSTEM IMPLEMENTATION IN DETERMINING STUDENTS TO RECEIVE BOS FUNDING USING THE WASPAS METHOD Napisah, Napisah; Muliono, Rizki; Khairina, Nurul; -, Muhathir
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4046

Abstract

Success in learning and learning activities at SMA Asy-Syafiiyah Medan, is not only influenced by teachers, but also by student aspects such as attendance, parental income, activity participation, achievement scores, and discipline. To obtain optimal results, the authors designed an application using the Weighted Aggregated Sum Product Assessment (WASPAS) method that can determine students who receive BOS funds. After calculating 5 times with predetermined criteria, Rizki Ridho Silalahi's final result was 0.9197. The system designed for receiving BOS Fund assistance at SMA Asy-Syafiiyah Medan has been tested by inputting criteria data and carrying out the calculation process using the WASPAS method.
Pemberdayaan generasi muda dalam transisi energi hijau melalui pelatihan teknologi fuel cell Iswandi, Iswandi; Supriatno, Supriatno; Susilawati, Susilawati; Hermanto, Tino; Hasibuan, Samsul Abdul Rahman Sidik; Muliono, Rizki; Royani, Ida; Aldori, Yopan Rahmad
Jurnal Anugerah Vol 7 No 1 (2025): Jurnal Anugerah: Jurnal Pengabdian kepada Masyarakat Bidang Keguruan dan Ilmu Pen
Publisher : Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/anugerah.v7i1.7174

Abstract

Krisis energi global dan rendahnya literasi energi bersih di kalangan pelajar mendorong perlunya edukasi teknologi alternatif yang berkelanjutan. Kegiatan pengabdian ini dilatarbelakangi oleh kebutuhan untuk meningkatkan wawasan siswa terhadap teknologi energi terbarukan, khususnya fuel cell. Tujuan kegiatan ini adalah untuk memperkenalkan prinsip dasar kerja teknologi fuel cell serta membangun pemahaman dan keterampilan awal siswa Sekolah Menengah Kejuruan (SMK) sebagai bagian dari edukasi transisi energi hijau. Pengumpulan data dilakukan sebagai langkah evaluatif untuk meninjau keberhasilan kegiatan PkM. Tolok ukur keberhasilan ditentukan berdasarkan peningkatan pemahaman kognitif siswa serta tingkat partisipasi dan respons positif terhadap materi pelatihan. Metode pelaksanaan menggunakan pendekatan pelatihan interaktif, pendidikan masyarakat, dan substitusi ipteks. Peserta kegiatan berjumlah lebih dari 50 siswa jurusan Bisnis dan Manajemen di SMK Swasta Nurul Amaliyah Tanjung Morawa. Teknik pengumpulan data mencakup pre-test dan post-test untuk mengukur peningkatan pemahaman, observasi untuk menilai keterlibatan siswa, serta wawancara semi-terstruktur untuk menggali persepsi dan ketertarikan siswa terhadap teknologi energi bersih. Analisis data dilakukan secara deskriptif kuantitatif dan naratif. Hasil menunjukkan adanya peningkatan skor pemahaman peserta dari 42% menjadi 81%, disertai partisipasi aktif dan ketertarikan tinggi terhadap materi. Peserta juga mampu mengaitkan prinsip kerja fuel cell dengan peluang usaha berbasis energi bersih. Kegiatan ini membuktikan bahwa edukasi ipteks lintas disiplin dapat menjembatani kesenjangan pemahaman teknologi dan membentuk kesadaran technopreneurship. Oleh karena itu, model pelatihan ini berpotensi diterapkan secara lebih luas dalam satuan pendidikan vokasi non-teknik untuk mendukung transisi energi nasional.
Sentiment Towards Social Media Politeness Ambassadors: A Case Study Using the Naive Bayes Method Fikri, Ridho Ahmad; Muliono, Rizki
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 3Spc (2025): Special Issues 2025: Innovations in Predictive Analytics and Sentiment Analy
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i3Spc.14404

Abstract

Social media has had a significant impact on modern society, serving as a primary platform for sharing information and opinions. One intriguing phenomenon is the viral case of a female police officer, Putri Cikita, who earned the title "Ambassador of Courtesy" due to her actions in a video. This study aims to analyze public sentiment regarding this case on Twitter using the Naive Bayes Classifier (NBC) method. The research adopts a quantitative descriptive approach with sentiment analysis based on Text Mining, utilizing Python and Google Colab. The dataset consists of 2,000 Indonesian-language tweets collected from August to November 2024 using the keywords "Ambassador of Courtesy" and "Putri Cikita." The research stages include data collection, data preprocessing (case folding, tokenizing, filtering, stemming), and sentiment labeling into positive, negative, and neutral classes. The analysis results reveal that 11.55% of tweets express positive sentiment, 68.40% are neutral, and 20.05% are negative. The Naive Bayes method proves effective in classifying textual sentiment data. This research provides insights into public perceptions of viral events and underscores the importance of public image management in the digital era.
Classification of Hepatitis Disease Using The Fuzzy Mamdani Method Hidayani, Nurul; Muliono, Rizki
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 3Spc (2025): Special Issues 2025: Innovations in Predictive Analytics and Sentiment Analy
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i3Spc.14426

Abstract

In the modern world, almost everyone uses technology and information. This is evident in various fields, ranging from education and employment to entertainment. Society is too dependent on technology and information, to the point of neglecting their own health. There are many diseases caused by neglecting one's own health, one of which is hepatitis. This is because some people pay little attention and are reluctant to get it checked. Because hepatitis is very dangerous for human survival, treatment must begin as soon as the first symptoms appear and assist in the early diagnosis of hepatitis. This will allow for the identification of the type of hepatitis disease. The aim of this research is to apply the Mamdani fuzzy method for the classification of hepatitis diseases. The Mamdani fuzzy method has been successfully utilized in systems for diagnosing hepatitis diseases. In this system, it will provide instructions, namely to select which symptoms are experienced, then you can choose those symptoms by checking them off, and this system will provide a diagnosis based on the symptoms experienced. The diagnosis results include the type of hepatitis disease experienced, as well as treatment solutions. The results obtained for diagnosing hepatitis A disease using fuzzy Mamdani calculation shows that 68% , and the diagnosis of hepatitis B disease using fuzzy mamdani calculations shows 53% , and the diagnosis of hepatitis C disease using fuzzy mamdani calculations shows 59%.
Coffee Quality Classification Based on Customer Reviews Using C4.5 Algorithm Siahaan, Ricardo Fransdoli; Muliono, Rizki
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 3Spc (2025): Special Issues 2025: Innovations in Predictive Analytics and Sentiment Analy
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i3Spc.14427

Abstract

Coffee is a very popular commodity throughout the world, and its quality is oken evaluated through customer reviews. This research aims to classify coffee quality based on reviews given by consumers using the C4.5 algorithm. C4.5 is a machine learning algorithm used to generate decision trees, which allows decision making based on relevant attributes. In this research, the data used consists of customer reviews taken from e-commerce plaVorms and coffee discussion forums. The data is then processed with natural language processing (NLP) techniques to extract important features such as sentiment, keywords and term frequency. These features are used as input for the C4.5 algorithm, which builds a classification model based on patterns contained in the data. The results of the research show that the C4.5 model is able to classify coffee quality with high accuracy, reaching up to 85%. The factors that most influence quality classification include taste, aroma, and packaging, which are frequently mentioned in reviews. In addition, the analysis also shows significant differences in the quality of coffee produced from different coffee producing regions, which can provide insight for producers to improve their products.
Co-Authors -, Muhathir Akbar Siregar, Muhammad Alwi, Buchori Bunaya Arthavia Sitorus Darkani, M. Farhan Dedi Sahputra Effiati Juliana Hasibuan Esrayanti Simanjuntak Fikri, Ridho Ahmad Harahap , Ryanda Fadillah Hasibuan, Samsul Abdul Rahman Sidik Hasudungan, Andre Hidayah, Safrina Ida Royani Irfansyah Iswandi Iswandi Juanda Hakim Lubis Juanda Hakim Lubis Laia, Aldi Irfan Marischa Elveny, Marischa Marpaung, Febriady Merri Hafni Muhammad Farhan Darkani Muhammad Hamdani Santoso Muhathir Muhathir Muhathir Muhathir, Muhathir Muhathir, Muhathir Nanda Novita, Nanda Napisah, Napisah Nurul Hidayani Nurul Khairina Nurul Khairina Prasetyo , Dewo Putri, Riza Dwi Razaq, Faisal Sandy, Boy Siahaan, Ricardo Fransdoli Siregar, Yusril Izza Haholongan Sitopu, Essay Puspita Sri Juwita Sri Wahyuni Suhaira, Zatin Supriatno, Supriatno Susilawati Susilawati Susilawati Susilawati, Susilawati Theofil Tri Saputra Sibarani Tino Hermanto Y. Syah, Rahmad B. Yopan Rahmad Aldori Zebua, Meniati Zulfikar Sembiring Zulfikar Sembirirng