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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) SITEKIN: Jurnal Sains, Teknologi dan Industri Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Sistem informasi dan informatika (SIMIKA) Zonasi: Jurnal Sistem Informasi Journal of Applied Engineering and Technological Science (JAETS) Jurnal Computer Science and Information Technology (CoSciTech) KLIK: Kajian Ilmiah Informatika dan Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science
Novriyanto Novriyanto
Jurusan Teknik Informatika, Fakultas Sains Dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Analisis Sentimen Tanggapan Masyarakat Terhadap Kenaikan Biaya Haji Tahun 2023 Menggunakan Metode K- Nearest Neighbor (KNN) Hafsyah; Elin Haerani; Novriyanto; Fadhilah Syafria
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1471

Abstract

The Indonesian government implemented a policy of increasing the cost of Hajj in 2023, but the policy has attracted many positive and negative comments among the public. Public comments are taken from the social media network Twitter, because it contains a lot of information so that it attracts the interest of most people. With the increase in Hajj costs in 2023, it is necessary to conduct sentiment analysis. This study uses  the K-Neearest Neighbor method  because it is easy to apply and the data used are divided into two classes, positive and negative. The results of research on the application of  the K-Nearest Neighbor method in  sentiment analysis of the increase in Hajj costs in 2023 using 3,000 data taken from Twitter comments. The tweet data  used, there were 1866 positive comments and 415 negative comments and the total net data of 2281, judging from the amount of positive data compared to negative  data, obtained an accuracy value of 81.17% in 70:30 data sharing, 79.87% in 80:20 data sharing, 77.73% in 90:10 data sharing. Meanwhile, the highest accuracy value was 81.17% with  82.48% precision, 97.67% recall, F1- Score 89.43%.  In this study, there were more positive responses, this proves that the increase in Hajj costs in 2023 using  the K-Nearest Neighbor (KNN)  method can be accepted by the community
Pengukuran Tingkat Layanan Helpdesk Menggunakan COBIT 5 Febby Kurniawan; Novriyanto; Elin Haerani; Lola Oktavia
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1474

Abstract

The Riau Provincial Information and Statistics Communication Service is a government agency tasked with formulating policies, conducting evaluations and reporting in the field of information and communication technology in various sectors of society. The Riau Provincial Information and Statistics Communication Agency has one of the services, namely a helpdesk to assist in handling problems related to the use of information technology. The helpdesk is one of the most important parts in the Riau Provincial Information and Statistics Communication Service because it is a liaison for each Regional Apparatus Organization (OPD), but the helpdesk at the Riau Provincial Information and Statistics Communication Service (Diskominfotik) does not yet have a benchmark that can be used to evaluate the performance of the helpdesk system. The purpose of this study is to determine the level or level of helpdesk services in optimizing information technology using the COBIT 5 framework and focusing on DSS03 Domain. This research was conducted by interviewing 8 respondents who were involved in the helpdesk and had 27 questions on the DSS03 domain. This research obtained the results of measuring the level of helpdesk service capability in Diskominfotik Riau Province  is at level 4, namely Predictable  Process where diskominfotik has run IT processes in accordance with established SOPs but needs to make continuous improvements in order to reach the target level to be achieved, which is at level 5 Optimizing Process
Analisis Manajemen Risiko Teknologi Informasi pada KPU Menggunakan Cobit 5 Domain APO12: Analysis of Information Technology Risk Management at KPU Using Cobit 5 Domain APO12 Muhammad Aldi Wirayudha; Novriyanto Novriyanto; Teddie Darmizal; Lola Oktavia
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1225

Abstract

Komisi Pemilihan Umum adalah lembaga negara yang menyelenggarakan pemilihan umum di Indonesia. Sebagai penyelenggara pemilu, pemanfaatan teknologi informasi sangat penting untuk mendukung operasional bisnis dan meningkatkan kualitas organisasi. Oleh karena itu, penting bagi lembaga negara untuk menerapkan pengelolaan risiko teknologi informasi khususnya pada Komisi Pemilihan Umum Kabupaten XYZ guna mencegah terjadinya kerugian risiko serta meningkatkan efikasi dan efisiensi manajemen risiko teknologi informasi. Pengelolaan risiko teknologi informasi di KPU Kabupaten XYZ belum maksimal sehingga rentan terhadap kejadian risiko yang dapat berdampak negatif terhadap pelaksanaan tanggung jawabnya. Analisis manajemen risiko teknologi informasi di Komisi Pemilihan Umum Kabupaten XYZ khususnya pada aspek keamanan data, sistem informasi, dan infrastruktur TI bertujuan untuk menilai capability level dengan menggunakan framework COBIT 5 domain APO12 yang secara khusus mengatur manajemen risiko. Nilai kapabilitas organisasi yang ditentukan berdasarkan analisis domain APO12 adalah 1,35 yang menunjukkan bahwa organisasi telah mencapai level kapabilitas 1 (proses yang dilakukan). Artinya, proses manajemen risiko teknologi informasi telah diterapkan, namun masih belum terstruktur dan tidak konsisten. Agar proses APO12 mencapai level 2 (proses terkontrol), ditemukan celah 1 di setiap subdomainnya. Berdasarkan analisis kesenjangan, diberikan saran perbaikan. Rekomendasi ini akan menjadi landasan penilaian manajemen risiko teknologi informasi di KPU Kabupaten XYZ ke depan.
Penerapan Algortitma C4.5 untuk Klasifikasi Sentimen Masyarakat terhadap #RUUKUHP pada Twitter Imam Vusuvangat; Siska Kurnia Gusti; Fadhilah Syafira; Novriyanto Novriyanto; Fitri Insani
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

Social media, especially Twitter, has developed into an important tool for people to share their opinions and feelings widely. Users often use hashtags to share messages related to certain topics. Some of the issues that lead to the need for sentiment analysis of the Draft Criminal Code are social impact, Public disapproval, Potential legal uncertainty, Potential abuse, Support and criticism. By conducting a sentiment analysis of the draft Penal Code, the government and policymakers can better understand the views of the public, identify possible problems and address them, and make necessary improvements or clarifications to the draft law. This can help ensure that the draft Penal Code has greater public support and adheres to good legal principles. The classification of public responses to this hashtag provides a significant snapshot of public attitudes and perspectives. This study aims to classify public sentiment towards the RUUKUHP hashtag on the Twitter platform using the C4.5 algorithm. This study uses a collection of tweets with the hashtag RUUKUHP which are manually categorized into two and three sentiment categories, namely positive, negative and positive, negative and neutral. In this study, data preprocessing is carried out before training the model which includes removing links, special characters, removing stopwords, and word tokenization. Furthermore, this research uses text representation methods such as TF-IDF to extract features from the tweet text and convert them into numerical vectors used by the C4.5 algorithm. After training the classification model using the C4.5 algorithm with the classified dataset, it evaluates the performance of the model with the metrics of accuracy, recall, precision, and F1 score. Experimental results using 2 categories of Negative and Positive show that the model applied with the C4.5 algorithm achieved an accuracy of 96.6% with a recall of 96.6%, a percision of 97.1% and an F1 score of 96.8. And experiments using 3 categories of Negative, Positive and Neutral achieved an accuracy of 67%, a recall of 67%, a precision of 65%, and an F1 score of 66%. Thus it can be concluded that the results of the RUUKUHP hashtag sentiment classification with 2 class predictions are more relevant than 3 sentiment class predictions with a value reaching 96.6%.
Analisis dan Desain Data Center RSUD Arifin Achmad Pekanbaru Menggunakan Standarisasi TIA 942 Alviandy Syaputra; Iwan Iskandar; Teddie Darmizal; Novriyanto Novriyanto; Nazruddin Safaat
Jurnal Informatika Universitas Pamulang Vol 8 No 4 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i4.36564

Abstract

Arifin Achmad Regional General Hospital (RSUD) has a large amount of patient data so it requires a data center to store and manage all the data. In this study, an analysis of the data center at RSUD Arifin Achmad was carried out using the TIA-942 standard. Based on the results of observations that have been made, it is obtained that the current condition of the data center has several shortcomings, including the electrical system that does not yet have a private generator as a redudant, the security system that is still minimal, and the room conditions that are still limited. Based on these problems, an analysis was carried out using the PPDIOO (Prepare, Plan, Design, Implement, Operate, and Optimize) Network Life Cycle Approach method with the TIA-942 standardization approach In this research, it has been carried out up to the design stage, where at the prepare stage, search and collect related information, interview experts to gain a better understanding of the TIA-942 standard, at the planning stage (plan) a comparative analysis of the current data center with the TIA-942 standard using GAP analysis, and at the design stage (design) the design of the proposed Tier 2 data center is made. The results of this study are the current condition of the data center still in Tier 1 and provide recommendations for proposals in the form of data center designs at Tier 2 in accordance with the TIA-942 standard.
PENERAPAN RETRIEVAL AUGEMENTED GENERATION MENGGUNAKAN LANGCHAIN DALAM PENGEMBANGAN SISTEM TANYA JAWAB HADIS BERBASIS WEB Muhammad Irfan Syah; Nazruddin Safaat Harahap; Novriyanto; Suwanto Sanjaya
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 2 (2024): Publikasi Artikel ZONAsi: Periode Mei 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i2.19940

Abstract

Hadis ajaran kedua setelah al-Qur'an yang menjadi panduan bagi umat Islam. Pencarian hadis saat ini kurang interaktif dalam menjawaban pertanyaan, dimana hanya menampilkan dokumen relevan. Penelitian ini bertujuan untuk mengembangkan sistem tanya jawab hadis berbasis web dengan menerapkan Retrieval Augmented Generation menggunakan framework LangChain yang diintegrasikan dengan Large Language Model GPT-4-1106-preview dari OpenAI. Sistem ini dirancang untuk membantu pengguna dalam mencari jawaban yang sesuai dengan 9 kitab hadis. Hasil penelitian menunjukkan bahwa model dapat bekerja sesuai dengan instruksi dan data dengan menyertakan sumber dari hadis terkait. Pengujian dilakukan dengan menguji 10 pertanyaan seputar hadis dengan framework BERTScore dan uji Evaluasi kualitas jawaban dengan mahasiwa ushulludin. Pada pengujian BERTScore rata-rata f1 score sebesar 0,7962, yang menunjukkan kemiripan antara jawaban sistem dengan referensi, pengujian pada Evaluasi kualitas jawaban mencapai persentase akurasi 89,4% yang menunjukkan bahwa responden ”Sangat Setuju” terhadap jawaban yang dihasilkan oleh sistem.
Implementation of Telegram Chatbot as Information Service of Madani Hospital Pekanbaru hariansyah, Aldi; Haerani, Elin; Novriyanto, Novriyanto; Affandes, Muhammad
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 3 (2023): Vol. 11, No. 3, December 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i03.p05

Abstract

very institution or organization aims to create a positive image through information services. In Indonesia, many hospitals provide information through telephone or official websites. However, Madani Hospital in Pekanbaru requires improvement. This research developed a registration chatbot on Telegram, making it easier for patients to make doctor appointments, view schedules, and access important information. Telegram was chosen for being lightweight, fast, and popular. The research involved literature surveys, problem identification, literature review, and data collection. The results were used to design the chatbot flow. The system was developed using Sommerville's Waterfall method, covering requirement definition, design, implementation, testing, integration, operation, and improvement. User Acceptability Testing is a key stage in implementation. User Acceptability Testing questionnaires were distributed to 20 prospective patients with various questions. The chatbot implementation used the Python API for Telegram and a MySQL database, with Black Box testing covering patient access, registration, functions, admin authentication, create update read delete admin, and error handling. The results of User Acceptability Testing showed an accuracy achievement of 77.8%, which means it is Very Good.
Audit Tata Kelola Teknologi Informasi Pada Universitas Hang Tuah Pada Domain Deliver and Support COBIT 4.1: Audit of Information Technology Governance at Hang Tuah University using the Deliver and Support Domain of COBIT 4.1 Siddik, Muhammad Khoirun; Novriyanto, Novriyanto; Vitriani, Yelfi; Darmizal, Teddie
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 3 (2024): MALCOM July 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i3.1299

Abstract

Universitas Hang Tuah Pekanbaru (UHTP) merupakan suatu lembaga pendidikan yang berada dibawah naungan yayasan Hang Tuah Pekanbaru. Univ Hang Tuah telah menerapkan teknologi informasi (TI) dalam mendukung kegiatan akademik dan administrasi. Penerapan TI tersebut tentu dapat menimbulkan berbagai permasalahan seperti yang terjadi pada UHTP di antaranya adalah telah terjadi peretasan pada website akademik yang mengakibatkan terhambatnya penyampaian informasi kepada seluruh pengguna sistem. Berdasarkan permasalahan yang terjadi di Univ Hang Tuah maka dilakukan audit untuk mengukur tingkat kematangan dan memberikan rekomendasi tata kelola perbaikan setelah mengetahui kesenjangan antara tatakelola saat ini dengan tatakelola yang diharapkan sesuai dengan framework COBIT 4.1 yang fokus pada domain Deliver and Support (DS). Teknik pengumpulan data dilakukan dengan wawancara dan kuesioner kepada narasumber yang telah dipilih berdasarkan RACI Chart. Metode analisis data dilakukan dengan penghitungan nilai skor tiap subdomain, penghitungan nilai rata rata subdomain, penghitungan nilai kematangan, pemetaan tingkat kematangan dan pemberian rekomendasi sesuai dengan tingkat kematangan dan mengacu pada maturity model COBIT 4.1. Hasil penelitian diperoleh nilai maturity level pada domain Deliver and Support (DS) adalah 3,121 Defined. Hal ini berarti bahwa Universitas Hang Tuah Pekanbaru telah memiliki standarisasi prosedur yang telah dipraktekan dan telah didokumentasikan serta dikomunikasikan melalui pelatihan.
Pengukuran Tingkat Kematangan pada Pelayanan Akademik dengan Cobit 4.1 Menggunakan Domain Monitor dan Evaluate: Measuring the Level of Maturity in Academic Services with Cobit 4.1 Using the Monitor and Evaluate Domains Novriyanto, Novriyanto; Lesmana, Aria; Darmizal, Teddie; Oktavia, Lola
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 3 (2024): MALCOM July 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i3.1320

Abstract

Perkembangan teknologi informasi yang sangat pesat menjadikannya sebagai suatu kebutuhan yang penting untuk perkembangan suatu organisasi. Universitas Hang Tuah menjadi salah satu Lembaga yang menggunakan teknologi informasi dalm berbagai aktivitas pelayanan akademiknya. Proses pelayanan akademik di Universitas Hang Tuah masih memiliki berbagai kekurangan yaitu terkait sistem atau aplikasi, pelaporan kinerja TI, infrastruktur, dan sumber daya TI lainnya. Pada permasalahan yang terjadi di Universitas Hang Tuah akan dilakukannya pengukuran tingkat kematangan dan memberi rekomendasi  perbaikan, setelah mendapatkan hasil GAP antara tata kelola saat ini dengan tata kelola yang diinginkan sesuai ketentuan framework COBIT 4.1 berfokus pada domain Monitor and Evaluate. Pengumpula data pada penelitian ini menggunakan wawancara dan kuesioner yang telah dipilih berdasarkan RACI Chart. Hasil maturity level dari penelitian didapat nilai domain Monitor and Evaluate  adalah 3,625 , yang menunjukkan bawah Universitas Hang Tuah mendapatkan level maturity level 4 (Managed and Measureabel) terdapat kesenjangan GAP atau rata-rata menjadi 0,58. Kemudian, Universitas Hang Tuah dapat mengimplementasikan beberapa usulan. Di antara usulan yang diajukan adalah agar manajemen menilai teknik pelatihan yang diberikan kepada pengguna sistem sesuai dengan standar kebutuhan untuk mencapai tujuan universitas
Analisis Performa Jaringan Local Area Network Dengan Menggunakan Metode Quality Of Service Arvansyah, M Afdhol; Iwan Iskandar; Teddie Darmizal; Novriyanto, Novriyanto; Pizaini, Pizaini
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1905

Abstract

The LAN network center of RSUD Arifin Achmad Pekanbaru is located in the EDP (Electrical Data Processing) building, from where the network is distributed to other buildings within RSUD Arifin Achmad Pekanbaru for data transfer. A common issue that arises is delays in sending and receiving data from computer users in other buildings, causing disruptions in the data reception process. To address this problem, a network performance analysis is necessary to assess the quality of both internet and intranet connections within the RSUD Arifin Achmad Pekanbaru LAN. Therefore, a research study was conducted to measure network performance using the Quality of Service (QoS) method. The objective of this study was to analyze and evaluate the quality of internet and intranet performance in the RSUD Arifin Achmad Pekanbaru LAN. The research findings for internet performance indicate that live streaming on YouTube (720p), downloading a 250MB file, uploading a 250MB file, and accessing national and international websites all fall into the “Excellent” category. Based on the TIPHON standard, the LAN internet network at RSUD Arifin Achmad Pekanbaru is considered very good. Regarding intranet performance, the average throughput is 27,835.666Kbps, with zero packet loss, placing it in the “Excellent” category. The average delay is 374.614ms, categorized as “Moderate,” and the average jitter is 11.46066937ms, categorized as “Good” according to the TIPHON standard
Co-Authors Aditya Dyan Ramadhan Agesta Putrama Al Fajri Alviandy Syaputra Alvin Alvin Anzaz Islami Alwis Nazir Arvansyah, M Afdhol Darmizal, Teddie Dosmaulina Dosmaulina Elin Haerani Elin Haerani Elin Haerani Elin Haerani (Scopus ID: 57191839502) Elvia Budianita Emir Ramon Fadhilah Syafira Fadhilah Syafria Fadhilah Syafria Fahrul Al Hidayat Fatimah Almira Firdausi Febby Kurniawan Fitra Lestari Fitri Insani Fitri Insani (Scopus ID: 57190404820) Hafsyah hariansyah, Aldi Haris Simare Mare Hartini Hartini Hertati Ibrahim Armadian Pujakesuma Imam Vusuvangat Ismail Marzuki Iwan Iskandar Iwan Iskandar Iwan Iskandar Lesmana, Aria Lola Oktavia Lola Oktavia M. Saski M. Zaid.S Muhammad Affandes Muhammad Affandes, Muhammad Muhammad Aldi Wirayudha Muhammad Irfan Syah Muhammad Irsyad Nazruddin Safaat Nazruddin Safaat H Nazruddin Safaat H Nuraisyah Idham Oktavia, Lola Pizaini Pizaini Pizaini, Pizaini Reski Mai Candra Reski Mai Candra Setio Mulyo Siddik, Muhammad Khoirun Siska Kurnia Gusti Suwanto Sanjaya Suwanto Sanjaya Syofin Wibawa Mukti Teddie Darmizal Teddie Darmizal Vitriani, Yelfi Wenni Syafitri Yusra, Yusra