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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Nizhamiyah JurTI (JURNAL TEKNOLOGI INFORMASI) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Kridatama Sains dan Teknologi Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jatilima : Jurnal Multimedia Dan Teknologi Informasi 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 MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Responsif : Riset Sains dan Informatika Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal La Multiapp Jurnal Abdi Mas Adzkia Fitrah: Journal of Islamic Education KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Dinda : Data Science, Information Technology, and Data Analytics International Journal Software Engineering and Computer Science (IJSECS) Journal of Computer Science and Informatics Engineering sudo Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Nasional Teknologi Komputer NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Journal of Computers and Digital Business Sewagati: Jurnal Pengabdian Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Cosmic Jurnal Teknik
Ilka Zufria
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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

 1 
Implementasi Certainty Factor Untuk Diagnosis Penyakit dan Hama Pada Pelepah dan Daun Kelapa Sawit Beserta Penanganannya Beni Frandian; Ilka Zufria; Muhammad Dedi Irawan
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.21 KB) | DOI: 10.47065/josh.v3i3.1455

Abstract

Oil palm (Elaeis guinensis) is a plant that has its own charm and plays an important role in people's lives. Plants are categorized as normal if they can process their physiological functions properly. In line with the development and expansion of community-owned oil palm land areas, more and more problems arise due to various types of diseases and pests attack on oil palm plants, especially on the midrib and leaves of oil palm. The existence of diseases and pests that cause losses in plant productivity also results in loss of costs used to restore plants that have been attacked by diseases or pests in nurseries, immature and mature plants. The lack of understanding of farmers regarding how to diagnose and proper control of oil palm diseases and pests as well as the availability of experts or experts in the field of oil palm in smallholder oil palm plantation areas can be overcome by presenting experts or experts or doubling the knowledge possessed by experts in the coconut field. oil palm by building an expert system for the diagnosis of diseases and pests in oil palm leaf midribs. The certainty factor method is used to describe the uncertainty in thinking and express the degree of confidence of the expert or expert in diagnosing the types of diseases and pests of oil palm. The developed expert system is expected to be useful for farmers in the area or ordinary people in diagnosing diseases and pests on oil palm leaf sheaths through the symptoms selected during consultations to diagnose the types of diseases and pests that are being experienced.
Penerapan Spiral Method Dalam Pengembangan Sistem Informasi Desa Sebagai Keterbukaan Informasi Publik Supiyandi Supiyandi; Chairul Rizal; Barany Fachri; Muhammad Eka; Ilka Zufria
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2960

Abstract

Tomuan Holbung Village is a village located in North Sumatra. As a village, there is still information that has not been accessed by many others through public communication, namely the internet. For this reason, it is necessary to develop an information system. Technology changes human life into quick and easy access to information data. Technology contributes to the arrangement of management systems and work processes in government and private institutions. One of the applications of Information Technology in village life is the use of the Village Information System (SID). In the development of this web-based village information system using the spiral method in development which consists of analysis, design, coding and testing as well as entity relationship diagrams in designing the database. The existence of a website-based village information system can facilitate devices in processing village information data to be more effective and efficient in providing information about village government in Tomuan Holbung Village. In addition, researchers also added features of activities that were widely informed. The Village information system is equipped with a web-based display so that users can adjust the contents in the system such as a web-based village information system as a means of information in web development in Tomuan Holbung Village using the spiral method.
Analisis Sentimen Terhadap Bakal Capres RI 2024 di Twitter Menggunakan Algoritma SVM Arfina Handayani; Ilka Zufria
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4379

Abstract

In 2024, Indonesia will hold an election for head of state which will be the pinnacle of democracy in its political system. In the context of democracy, active community participation plays a key role in making general elections successful. However, there is still a tendency for people to only follow election procedures without actively participating. Therefore, this research was conducted to analyze public sentiment towards the 2024 presidential candidates, using data from social media Twitter. Social media, especially Twitter, has become the main platform for Indonesian people to express their political opinions, views and preferences. With the number of social media users reaching 170 million in 2021, Indonesia has great potential to gather various opinions and sentiments regarding general elections. This research aims to analyze sentiment using the Support Vector Machine (SVM) method on tweets containing hashtags related to three presidential candidates, namely Aniesbaswedan, Ganjarpranowo, and Prabowosubianto. The results of sentiment analysis show that the SVM method can be used to analyze sentiment with an accuracy of around 78.3 % overall. This accuracy is influenced by factors such as the amount of data used and the composition of positive and negative data. The sentiment data analyzed came from 1719 tweets from Twitter users, with a distribution of around 597 data for Aniesbaswedan, 627 data for Ganjarpranowo, and 495 data for Prabowo Subianto. This research provides insight into how Indonesian people convey their sentiments regarding the 2024 presidential candidates via social media. . This sentiment analysis can be an important reference in understanding the public's political preferences ahead of the upcoming general election.
Prediksi Kelulusan Mahasiswa Strata 1 (S1) Menggunkan Metode C5.0 di Program Studi Ilmu Komputer Ba’ayesh, Mubarak; Zufria, Ilka
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6018

Abstract

Timely graduation is a crucial indicator of the success of study programs in higher education. However, in the Computer Science Study Program at UIN Sumatera Utara, the number of students graduating on time is relatively low. This study aims to predict student graduation using the C5.0 algorithm, a part of Decision Tree, to classify students who graduate on time and those who graduate late. The data used includes GPA scores from semesters 1 to 4, total credits (SKS), final project duration, study period, and entry pathway. From 100 data samples, the model was tested using a 70:30 data split ratio. The evaluation results showed that the prediction model using the C5.0 algorithm achieved 100% accuracy, with Precision, recall, and f1-score values of 1.00 for both classes, namely "On Time" and "Late." This research demonstrates that the C5.0 algorithm can accurately predict student graduation and assist the university in developing strategies to improve timely graduation rates.
Implementasi Text Mining Dalam Penentuan Kinerja Layanan Antara Grab dan Gojek Berdasarkan Opini Masyarakat Menggunakan LDA Syapira, Tiwi; Zufria, Ilka
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4833

Abstract

Public transportation is currently based on applications and the internet, so it is called online transportation. Grab and Gojek are two online transportation service providers who want to provide the best service. Users provide responses, experiences, criticism and suggestions via Twitter. This research will use the LDA algorithm to map topics that users frequently discuss regarding Gojek and Grab. Latent Dirichlet Allocation (LDA) is an unsupervised learning algorithm used to detect topics in a collection of text documents. LDA assumes that each document consists of a mixture of several topics, and that each topic consists of a probability distribution over words. LDA works by modeling the generative process of documents. This process begins by selecting a topic for the document, then selecting words from that topic. The probability of selecting certain topics and words is determined by parameters learned from the data. Data was obtained via Twitter with the keywords "#grabid" and "#gojekindonesia". From the research results, it was found that the best topic mapping results for Gojek objects were 2 topics, namely promotions and orders. Meanwhile, Grab objects are divided into 4 topics, namely communication, transactions, orders and orders
Co-Authors Abdul Halim Hasugian Abdul Rasyid Adelina Manik Adnan Buyung Nasution Afira Zulfa Afriani Afriani Agung Hamdika Surya Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Aila Oktavia Abdul Nst Alfahri, Bagus Ageng Alfiansyah, Raja Alfin Budiman Sihotang Ali Ikhwan Ali Ikhwan Alya, Dea Amri, M Choirul Aninda Muliani Anjani, Retno Anwar Fauzi Apriani Syahputri Aprilia, Nia Arfina Handayani Arianto, Rifdah Armansyah Armansyah Armansyah Arrahman, Said Atiqi, Muhammad Farros Aulia, Muhammad Fathir Batubara, Qisti Azraladiba Ba’ayesh, Mubarak Beni Frandian Bimantara, Muhammad Dhuha Buyung Satrio Dasopang Buyung Satrio Dasopang Chairul Rizal Chintya Anggraini Cindy Juliani Cindy Novi Syahputri Danang Wahyu Wicaksono Darsih, D Daulay, Darisma dedi irawan Desmi Roma Putra Lubis Dharmawan, Kaka Davi Dimas Arya Dimas Arya Dinda Ayu Ningsih Dion Wirayuda Bahri Dollar, Dzulfikri Akbar Dwi Prapita Sari Edilia, Fazila Nazifa Efriliya Hafni Yuswinda Erwin Nasution Fachri, Barany Fadila, Daffa Fadilla, Nurul Fahlome, Dodyk Fahmi Dian Pratama Fahrizal Alwafi Chandra Susi Syafriana Barus Fakhriza, M Fakhriza, M. Fakhriza, M. Farentika, Yosi Firman Syarif Fitri, Wan Ilia Gilang Reynabil Gina Sania Habib Asy Muhyi Hafiz Fawi Anugerah Hakim, Yusrizal Hakim, Yusrizal Hanifa Salsabila Harahap, Parlindungan Harahap, Tiara Bela Harry Setiawan Hasibuan, Naina Nazwa Hasibuan, Nazwa Aliya Muthmainnah Hasugian, Aldi Ridwansyah Hazizah Ulfa Nasution Heri Santoso Heri Santoso Herman, Bintang Kurniawan Ibnu Rusydi Idris Siregar, Idris Ilham Maulana Ritonga Intan Nofitasari Intan Saleha Tinendung Irawati, Cici Iskandar, Isna Damaiani Ismail Husein, Ismail Jayyid Jiddan Juliani, Cindy Kesuma, Beny Khairani, Melvika Kherina Surya Ningsih M Fakhriza M Fakhriza M Ferdiansah Rkt M Taufiq Rachman Siregar M. Fakhriza M. Fakhriza M. Ihsan Lubis Machfudz, Emir Syarif Mahfuza, Salsabila Mardiah Ramadhani Marini Maulana, Rexa Mhd Ikhsan Rifki Mhd. Syahnan Mila Wati, Mila Muchain, Alfira Nafhan Muhamad Alda Muhammad Arif Suhada Muhammad Auliyah Al Ghazali ZA Muhammad Dedi Irawan Muhammad Eka Muhammad Iqbal Nahwi Muhammad Nabhan Akbar Marpaung Muhammad Reyhandi Akbar Muhammad Siddik Hasibuan Muhammad Syahputra Novelan Muhammad Zulfikar Lubis Nasution, Muhammad Irwan Padli Nia Aprilia Nst, Aila Oktavia Abdul Nst, Khusnul Khotimah Nur Hasanah Pohan Nur Nofrizal Agustina Srg Nurainun Syahdia Nurhasanah, Mutia Nurul Fadhillah Nurul Fikria Okta Yuliardi Pandi Ahmad Jawara Pinasthika Alya Disti Pradana, Riski Ananta Pratama, Bagus Aji Purba, Ony Hizri Kaifa Purnamawati, Sri Putra, Fahrialdy Febriansyah Ragilia Putri Dinanti Raissa Amanda Putri Raisyah, Shafira Isra Rakhmat Kurniawan R Ramadani, Suci Adina Ramadhan, M Irsyad Rambe, M. Riski Andika Rambe, Rinanda Putri Rani, Putri Meuthia Rendy Andika, Rendy Revina Putri Damayanti Reza Adhitya Budiman Rina Afriani Sitorus Rini Halila Nasution Rio Rinaldi Risky, Tengku Tanzil Azhari Riswandi Riswandi Riswandi, Arif Rita Sari Dewi Rizky, Ishlahiyah Nur Rkt, M Ferdiansah Roy Surya Fikriadi Samsudin, Samsudin Sari Jamilah Rangkuti Sari, Silvia Sarmila Sarmila Sephia, Putri Aisyah Septiana Dewi Andriana, Septiana Dewi Shania Oktawijaya Simanjuntak, Salmah Simbolon, Zianah Nafisah Sinaga, Annisa Fitri Siti Sarah, Siti Siti Septia Febiyaula Sitorus, Dhafa Hibrizi Sitorus, Dhafa Hibrizi Sitorus, Nur Shafwa Aulia Sitorus, Puan Syaharani Sitorus, Rina Afriani Sriani Sriani Suendri Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi, S Suhardi, Suhardi Sulindawaty Sulindawaty Supiyandi Supiyandi Surbakti, Miftah Hadi Syafitri, Febry Dwi Syafrida, Desy Syapira, Tiwi Talita, Friza Tanjung, Erti Belastari Tanjung, Siti Maya Sari Triase Triase Triase Triase, Triase Ulfia Zahra Utomo, Imam Wahyu Rahmansyah Wahyudi Wahyudi Wardani, Dina Ayu Winny Wiyandari Wiranda Wiranda Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaim Izza Makarim Zebua, Jelita Rahmah