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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sistem Informasi dan Bisnis Cerdas Indonesian Journal of Information System Jurnal Eksplora Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jurnal DISPROTEK Compiler Jurnal ULTIMA InfoSys JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Dharma Bakti Jurnal Sistem Cerdas JMAI (Jurnal Multimedia & Artificial Intelligence) Antivirus : Jurnal Ilmiah Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Jurnal Sistem Informasi dan Informatika (SIMIKA) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknika Masyarakat Berdaya dan Inovasi Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal ABM Mengabdi Society: Jurnal Pengabdian Masyarakat Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Information System and Artificial Intelligence Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ekonomi, Akutansi dan Manajemen Nusantara AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding International Journal of Informatics Engineering and Computing
Arita Witanti
Universitas Mercu Buana Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementasi Algoritma LSTM untuk Prediksi Kebutuhan Bahan Baku Restoran di Bale Raos Kraton Yogyakarta Abdul Rahman Wahid; Witanti, Arita
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 4 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cf163j95

Abstract

Bale Raos Kraton Yogyakarta menghadapi tantangan dalam manajemen persediaan bahan baku akibat fluktuasi permintaan. Penelitian ini mengembangkan model Long Short-Term Memory (LSTM) untuk memprediksi kebutuhan 36 bahan baku berbasis data historis penjualan dan kalender musiman (Januari 2023–Februari 2025). Tahap preprocessing mencakup interpolasi temporal, pembentukan fitur lagging (1-hari dan 7-hari), one-hot encoding, dan normalisasi MinMax. Arsitektur LSTM berlapis (256/128 unit) dibangun, kemudian dievaluasi dengan pembagian data: pelatihan (Januari 2023–Oktober 2024), validasi (November–Desember 2024), dan pengujian (Januari–Februari 2025). Hasil menunjukkan kinerja optimal dengan MSE 0.0108 dan MAE 0.0735. Simulasi prediksi 31 hari (29 Januari–28 Februari 2025) mencapai Overall Aggregated Accuracy (Makro) 90,27%, membuktikan efektivitas model dalam meminimalkan risiko overstock dan stockout secara operasional.
Klasifikasi Waktu Tanggap Kebakaran oleh Pemadam Kebakaran di Kabupaten Sleman Menggunakan Metode K-Nearest Neighbor Jeffri, Derry Meilana; Witanti, Arita
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i2.2966

Abstract

Fire incidents are disasters that have the potential to cause significant losses, both materially and in terms of human lives. Therefore, firefighters must respond quickly to public fire reports with a response time that adheres to the standards set by Peraturan Menteri Pekerjaan Umum Number 20 of 2009 concerning Pedoman Teknis Manajemen Proteksi Kebakaran di Perkotaan. However in reality, firefighters still struggle to meet these standards due to various issues such as traffic congestion and inadequate road infrastructure. To identify these problems more deeply, firefighters need to further evaluate which fire incidents in which areas fail to meet the standard response times. Thus, a classification fire response times becomes essential. This study aims to classify fire response times using the KNN (K-Nearest Neighbor) method and evaluate the classification results. The variables used in this study are travel distance and travel time. The results show excellent classification performance, with an average accuracy of 98%.Keyword: Classification; K-Nearest Neighbor; Response Time; Firefighter.AbstrakInsiden kebakaran merupakan bencana yang berpotensi menimbulkan dampak kerugian signifikan, baik secara material maupun nyawa manusia. Oleh karena itu, Pemadam Kebakaran harus merespons cepat aduan masyarakat terkait kebakaran dengan waktu tanggap sesuai standar yang ditetapkan berdasarkan Peraturan Menteri Pekerjaan Umum Nomor 20 Tahun 2009 tentang Pedoman Teknis Manajemen Proteksi Kebakaran di Perkotaan. Tetapi pada kenyataannya Pemadam Kebakaran masih kesulitan untuk memenuhi standar tersebut dikarenakan berbagai masalah seperti kepadatan lalu lintas maupun infrastruktur jalan yang kurang memadai. Untuk mengidentifikasi masalah lebih mendalam, Pemadam Kebakaran perlu mengevaluasi lebih lanjut dengan cara mengetahui kejadian kebakaran daerah mana saja yang tidak memenuhi standar. Maka dari itu, diperlukan klasifikasi waktu tanggap kebakaran. Penelitian ini bertujuan mengklasifikasikan waktu tanggap kebakaran menggunakan metode KNN (K-Nearest Neighbor) kemudian dilakukan evaluasi terhadap hasil klasifikasi. Variabel yang digunakan pada penelitian ini yaitu jarak tempuh dan waktu tempuh. Penelitian ini menunjukkan hasil klasifikasi yang sangat baik, dengan rata-rata akurasi sebesar 98%. 
Klasifikasi Kondisi Greenhouse Secara Real-Time Menggunakan Fuzzy Mamdani Berbasis Bot Telegram Pramana Adi Setiawan; Arita Witanti
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i2.1614

Abstract

Kondisi lingkungan dalam greenhouse, seperti suhu air, pH air, cahaya, CO2 , merupakan faktor penting yang menentukan keberhasilan panen. Pemantauan secara manual seringkali tidak efisien dan rentan terhadap kesalahan, sehingga diperlukan sistem monitoring otomatis yang dapat diakses secara real-time. Penelitian ini bertujuan untuk merancang dan membangun sebuah sistem klasifikasi kondisi greenhouse menggunakan metode Logika Fuzzy Mamdani yang diintegrasikan dengan Bot Telegram sebagai antarmuka pengguna. Sistem ini menggunakan empat variabel input dari sensor, yaitu suhu suhu air, pH air, cahaya, CO2, untuk menghasilkan output berupa klasifikasi kondisi greenhouse ke dalam tiga kategori: Buruk, Cukup, dan Baik. Logika Fuzzy Mamdani digunakan untuk memodelkan proses pengambilan keputusan berdasarkan basis aturan yang telah ditentukan. Untuk menguji keandalan sistem, dilakukan pengujian secara real-time selama periode tujuh hari, dengan pengambilan data terjadwal sebanyak enam kali per hari. Hasil penelitian menunjukkan bahwa sistem berhasil dibangun dan mampu menyajikan informasi klasifikasi melalui Bot Telegram secara efektif. Dari total 42 data poin yang diuji, 39 data klasifikasi sistem menunjukan hasil yang sesuai dengan hasil klasifikasi manual pengelola, sehingga sistem menunjukkan tingkat akurasi yang sangat tinggi, yaitu sebesar 92.86%. Akurasi ini membuktikan bahwa metode Fuzzy Mamdani yang diimplementasikan valid dan andal. Sistem ini memberikan solusi yang praktis dan efisien bagi pengelola greenhouse untuk melakukan pemantauan jarak jauh dan mengambil tindakan secara cepat guna menjaga kualitas tanaman.
Analisis Sentimen tentang Penundaan Pengangkatan CPNS 2025 pada Platform X Menggunakan Metode IndoBERT Asshiddiq, Muh. Hasbi; Witanti, Arita
Jurnal Teknika Vol 17 No 2 (2025): SEPTEMBER
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v17i2.1448

Abstract

Penundaan pengangkatan Calon Pegawai Negeri Sipil (CPNS) 2025 menjadi isu yang menarik perhatian publik Indonesia dan memicu beragam reaksi, terutama di media sosial. Penelitian ini bertujuan menganalisis sentimen publik terhadap penundaan tersebut sekaligus mengevaluasi performa model IndoBERT dalam mengklasifikasikan opini masyarakat berbahasa Indonesia terkait isu ini. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan metode data mining dan Natural Language Processing (NLP). Pengumpulan data dimulai dengan crawling data tweet dari Platform X menggunakan tools Tweet Harvest berbasis auth token dan kata kunci terkait isu penundaan CPNS 2025. Data kemudian diproses melalui tahap pre-processing yang meliputi cleaning, case folding, tokenisasi, dan normalisasi. Selanjutnya dilakukan filtering, refinement, pelabelan manual, serta pembagian data menjadi tiga set dengan rasio 80:10:10 untuk pelatihan, validasi, dan pengujian. Pemodelan dilakukan dengan menggunakan transformer Indobert-base-p2 yang di-fine-tune dengan optimizer Adam dan sesuai konfigurasi optimal. Evaluasi performa model dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score. Dari 3.079 tweet yang terkumpul, diperoleh 2.479 data seimbang dari segi sentimen positif, negatif, dan netral. Model IndoBERT berhasil mencapai akurasi sebesar 84,27% dengan rata-rata presisi, recall, dan F1-score sekitar 84%. Analisis sentimen menunjukkan dominasi sentimen negatif pada awal isu, yang kemudian berangsur berubah menjadi positif setelah klarifikasi dari pemerintah. Sentimen netral banyak berasal dari akun resmi dan media. Temuan ini menegaskan pentingnya media sosial sebagai sumber pemantauan opini publik secara real-time serta menunjukkan potensi besar analisis sentimen berbasis NLP sebagai alat evaluasi komunikasi publik dan pengambilan keputusan kebijakan pemerintah.
Sistem Pakar Diagnosa Penyakit Panleukopenia Pada Kucing Menggunakan Metode Naïve Bayes Sadikin, Arif Maulana; Witanti, Arita
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12877

Abstract

This study aims to design and develop an expert system that can assist in diagnosing panleukopenia in cats using the Naïve Bayes method. Panleukopenia is a contagious disease with a high mortality rate, making early detection crucial to increasing the chances of recovery. The Naïve Bayes method was chosen for its ability to process probability-based data and provide accurate predictions based on the given symptoms. The system was developed based on information from veterinary medical experts and relevant scientific references. To ensure the system’s quality, validation was conducted by comparing the system’s diagnostic results with those provided by veterinarians. Testing results showed that the system achieved an accuracy rate of 93,3%, indicating that this method is effective in supporting the early diagnosis of panleukopenia. Therefore, the system is expected to serve as a useful tool for pet owners and medical profesionals in making further treatment decisions.
Implementasi Sistem Pakar Diagnosis Penyakit Gigi dan Mulut Berbasis Web dengan Metode Hybrid Chaining Reizandi, Dwisatya; Witanti, Arita
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12969

Abstract

Dental and oral health issues remain prevalent in Indonesia, hindered by limited access to healthcare services and low public awareness. This study aims to develop a web-based expert system for diagnosing dental and oral diseases using a hybrid chaining method that combines the strengths of forward and backward chaining. The system is built using PHP and MySQL, utilizing symptom data and medical records from a dental clinic in Yogyakarta as its knowledge base. Users can perform self-diagnosis by selecting symptoms, and the system provides probable diagnoses along with initial treatment suggestions. The inference process starts with forward chaining to filter potential diseases, followed by backward chaining to verify and calculate the match percentage. Testing on 50 patient records showed an accuracy of 75%. While the accuracy is moderate, the system demonstrates potential as a preliminary diagnostic tool. Further development is recommended, including expanding the rule base, incorporating symptom weighting, and increasing the range of detectable diseases. This system is expected to improve early diagnosis access and public awareness of oral health through digital solutions.
Strengthening Knowledge of AI-based applications to facilitate the preparation of learning media for teachers at TKIT Mekar Insani Minggiran Yogyakarta Witanti, Arita; Soeharto, Triana Noor Edwina Dewayani; Apriani, Nana
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i1.485

Abstract

Artificial intelligence (AI) technologies offer transformative opportunities in educational settings, particularly for teachers who are preparing interactive learning materials for early childhood education (ECE). However, challenges persist in their implementation, such as limited teacher knowledge, infrastructure barriers, and ethical concerns. This study aims to enhance teachers' knowledge at TKIT Mekar Insani, Yogyakarta, by providing training through mini workshops and supporting resources, such as refurbished computers. The program involved 25 teachers and included pre- and post-training evaluations. Results indicate a significant increase in teachers' ability to use AI-based tools, demonstrated by the production of engaging learning materials and improved confidence in integrating technology into their pedagogy. This initiative highlights the importance of bridging technology gaps in educational institutions and fostering continuous professional development.
Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan untuk Rekomendasi Tempat Gym Fitness Center Terbaik M. Abdurozik; Witanti, Arita
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.30554

Abstract

This study aims to design and develop a decision support system (DSS) based on the Weighted Product (WP) method to assist the public in selecting the best fitness center in Yogyakarta City. The wide range of available gyms, each offering varying facilities, pricing, services, and programs, presents a challenge for potential users in identifying options that align with their preferences. The proposed system utilizes five key criteria—facilities, membership fees, availability of personal trainers, distance, and user ratings—to generate objective recommendations. An initial trial conducted in Soropadan Village revealed that BlackBox Gym achieved the highest score of 0.040798, followed by The Fit Lab with a score of 0.03887 and Wzone Gym Studio – Jakal with a score of 0.036909. Further testing was performed across 30 sample points, each representing a sub-district within Yogyakarta City. The results indicated that MissFit Studio Gym ranked highest, achieving a preference score of 0.048897. The system demonstrated an accuracy rate of 97.56% when compared to manual calculations. These findings confirm that the application of the WP method is both effective and accurate in producing precise and consistent recommendations, thereby validating its reliability as a decision-making tool in selecting a fitness center.
Using the Scrum Method to Developing Population Information System Wahyu Setyaningsih, Putry; Witanti, Arita; Widatama, Krisna
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3590

Abstract

The adoption of Population Information System is crucial to enhance work effectiveness and serves as a manifestation of transparency in population data management. The complexity from design to implementation of such a population information system poses its own challenges. There are at least three main issues in system design, namely time estimation, team management, and ensuring the quality of system being developed. These issues must be addressed early on to prevent potential team management problems during the design and development stages of the application. One suitable method that can be employed for the design of the population information system is the Scrum methodology. Scrum is a software development framework that emphasizes a collaborative and adaptive approach. It falls under the Agile methodology, aiming to produce products that are more responsive to changes and enabling teams to adapt quickly in a dynamic environment. Scrum also promotes transparency in the development process, aiding in monitoring system progress and information accuracy. Compared to the commonly used Waterfall method, the Scrum approach offers greater flexibility in dealing with changes in requirements or needs that may arise during the development process. While the Waterfall method tends to follow predefined in linear steps. The novelty of this research lies in the proactive approach to addressing the complexity of designing population information systems by implementing Agile methodologies such as Scrum. Thus, it is expected that the implementation of Scrum will bring significant changes in improving the effectiveness and transparency in the development of population information systems.
Restaurant Recommendation Decision Support System Using Topsis System Rogawati, Nesya; Susilawati, Indah; Witanti, Arita
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2248

Abstract

The vast technology development in the culinary aspect makes all kinds of information could be acquired easily. Information is needed to be one of some considerations when a person is going to book a seat in a restaurant. Hungryhub is restaurant booking service provider which helps customers to be able to make a reservation online. This research background is Hungryhub website development innovation which offers so many restaurants. The aim of this research is to help customers upon making decisions with restaurants' recommended option alternatives.This research is using Technique for Other Reference by Similarity to Idea Solution (Topsis). Data is collected from documentation and interviews. The documentation is obtained from survey fulfillment by the users which would be processed and references of the restaurant recommendations for the users themselves. The interviews are done with the Hungryhub operational team to get the restaurants' data which have cooperated with Hungryhub. The topsis method is chosen because it has a concept that chosen alternatives are alternatives which have the shortest range to the ideal positive solutions and have the farthest range to the ideal negative solutions. The result of this research is a recommendation system which could display alternative restaurants' ranking result.
Co-Authors Abdul Rahman Wahid Agus Tri Widiyanto Akhmad Muzaki Alexander Radja Bria, Nyongki Apriani, Nana Ardhian Yulihandra Hanum Ari Widiyatmoko Arnanda Nuryasa Asshiddiq, Muh. Hasbi Bangkit Sasangka Beatinus Brianevant Frananta Sitepu Bowo Nugroho Dharmawan, Thoriq Didik Kurniawan Djaelani Sosanto Domnina Rani Puna Rengganis Eko Hariyanto Fatimah, Malida Fatkhurrahman Haris William Heri Ardiansyah Herli Setiawan Herwinsyah Ibnu Fajar Shiddiq Indah Susilawati Insan, Fariq Maulana Jeffri, Derry Meilana Krisna Bima Bagus Saputra M. Abdurozik Mahendra Wahyu Prihantoro Muhammad Fahrurrozi Mukhamad Arifin Munfaati, Eka Aenun Nisa Mutaqin Akbar Nadiyah, Raden Ayu Salma Naftali Sulardi Natanael Dimas Randy Nesya Rogawati Novriansyah Rosi Nur Lestari Puji Oktavia, Feliana Ozzi Suria Pambudi, Wahyu Tities Parjono, Parjono Pramana Adi Setiawan Prasetyaningrum, Putri Taqwa Pusaka, Semerdanta Rakhmanto Suryo Recoba Abednego Davinci Reizandi, Dwisatya Rengganis, Domnina Rani Puna Rizqi Oktafiani Rogawati, Nesya Sadikin, Arif Maulana Salsabilla, Fadiah Nur Saputra, David Setyaningsih, Putry Wahyu Siti Mutia Candra Soeharto, Triana N.E.D Sowanya Ardi Prahara Subarjo Supatman Supatman Supatman Supatman, Supatman Tito Rikanto Triana Noor Edwina Dewayani Soeharto Triana Noor Edwina Dewayani Soeharto vanrika, adena reis Wahyu Tities Pambudi Wahyu Tities Pambudi Wibowo, Ibnu Surya Widarta Widatama, Krisna Wulandari, Erika