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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Buana Informatika JMM (Jurnal Masyarakat Mandiri) Atrium : Jurnal Arsitektur Technologia: Jurnal Ilmiah Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) IJITEE (International Journal of Information Technology and Electrical Engineering) BALANGA: Jurnal Pendidikan Teknologi dan Kejuruan Belom Bahadat : Jurnal Hukum Agama Hindu Indonesian Community Journal Jurnal Atma Inovasia JOINTECOMS (Journal of Information Technology and Computer Science) Journal of Artificial Intelligence in Architecture Scientica: Jurnal Ilmiah Sains dan Teknologi Diteksi : Jurnal Pengabdian Kepada Masyarakat Satya Dharma: Jurnal Ilmu Hukum
Kristianti, Novera
Universitas Palangka Raya
Religion 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 Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Rancang Bangun Sistem Informasi Pengelolaan Data Transaksi Berbasis Website Pada Ester Laundry Hartono, Timothy Priambodo; Kristianti, Novera; Putra, Putu Bagus Adidyana Anugrah
Journal of Information Technology and Computer Science Vol. 3 No. 2 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i2.10824

Abstract

Ester Laundry is a laundry service business located in Palangkaraya City, specifically at Jl. G. Obos VIII Gg. Bakung 2 BTN No. 07. Currently, Ester Laundry uses a manual system to manage transaction data without a database storage system, and customers face difficulties in obtaining up-to-date information when picking up their laundry. To address this issue, the development of a Transaction Data Management Information System is proposed. The Waterfall methodology is utilized, involving stages of analysis, design, implementation, testing, and development. The system is designed as a website using PHP, JavaScript, along with the Bootstrap and CodeIgniter frameworks, with MySQL as the database. Black Box testing is conducted to evaluate the website's functionality. The results of the Black Box testing indicate that the Transaction Data Management Website can assist Ester Laundry in processing transaction data and provide benefits to both the business owner and customers. With this system in place, the management of transaction data becomes more efficient and effective, while customers can obtain more accurate laundry information.
ENSEMBLE MAJORITY VOTING UNTUK ANALISIS SENTIMEN DAN EMOSI PADA KOMENTAR YOUTUBE: STUDI KASUS RESIDENT EVIL 4 REMAKE Ahmad Abdul Hadi; Priskila, Ressa; Viktor Handrianus Pranatawijaya; Kristianti, Novera
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 2 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i2.22397

Abstract

Currently, social media can be said to be one of the important things in the fields of marketing, broadcasting and entertainment, such as the gaming industry. In this case, Sentiment Analysis and Emotion Detection can be a tool for understanding the public's response and perception of the content presented. One of them is for the game Resident Evil 4 Remake, which was announced on March 24, 2023, and received a lot of public response on various social media platforms such as YouTube, one of which received responses in the form of 7177 comments between June 3 2022 and February 9, 2024. The research methodology used includes data collection methodology and simulation methodology, by combining the Naive Bayes algorithm, SVM and BERT using the Majority Voting method where these algorithms were previously trained using two different datasets which showed Naive Bayes performance with an accuracy of 84%, SVM with 89%, BERT with 93% and the Majority Voting Method with 90% accuracy with training using the Resident Evil 4 Remake dataset. And in training with the Steam Game Review dataset, Naive Bayes and SVM were obtained with an accuracy of 53%, BERT with 66%, and the Majority Voting Method with an accuracy of 57%. The Majority Voting classification model trained on the Resident Evil 4 dataset was used to perform Sentiment Analysis classification on comments from the YouTube video entitled "Resident Evil 4 Remake: Reveal Trailer" from the IGN Channel. The ratio of positive and negative sentiments was 60.2% and 39%. .8% with the frequency of emotions of anger, excitement and anticipation appearing most frequently.
Optimized ensemble framework for predicting hydroponic stock and sales using machine learning Pranatawijaya, Viktor Handrianus; Priskila, Ressa; Putra, Putu Bagus Adidyana Anugrah; Sari, Nova Noor Kamala; Christian, Efrans; Geges, Septian; Kristianti, Novera
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3879-3886

Abstract

The increasing global demand for food necessitates the adoption of sustainable agricultural practices. Hydroponic farming, while efficient in resource utilization, faces challenges in accurately predicting stock levels and sales due to dynamic, ever-changing factors. This research presents an optimized ensemble framework for forecasting hydroponic stock levels and sales by integrating linear regression (LR), random forest (RF), and XGBoost, further enhanced through an evolutionary algorithm (EA). The proposed framework is evaluated using root mean square error (RMSE) and mean absolute error (MAE), demonstrating significant accuracy improvements over individual models. The ensemble model achieves an RMSE reduction of 43.82% for stock prediction and 55.3% for sales forecasting compared to the best-performing individual model. Additionally, local interpretable model-agnostic explanations (LIME) are employed to offer stakeholders clear insights into decision-making processes, such as identifying "number of harvested crops" and "sales data" as key drivers of prediction outcomes. This framework supports sustainable development goals (SDGs) 9.3, 12.3, and 12.C by promoting resource efficiency, reducing food waste, and improving small-scale farmer market access. Future research will explore real-time data integration for dynamic adaptation and further model enhancements.
PENGGUNAAN ALGORITMA HEBB DALAM POLA PENGENALAN HURUF Kristianti, Novera; Widiatry, Widiatry
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 18 No. 1 (2024): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v18i1.12561

Abstract

Dalam ilmu komputer, Jaringan Syaraf Tiruan (JST) adalah pendekatan populer yang bertujuan untuk menyelesaikan berbagai permasalahan, seperti pengenalan pola atau klasifikasi, melalui pembelajaran. Penelitian ini mengeksplorasi penggunaan algoritma Hebb Rule dalam konteks pengenalan pola huruf menggunakan jaringan syaraf tiruan. Jaringan syaraf tiruan adalah model pemrosesan informasi yang terinspirasi oleh struktur jaringan syaraf biologis manusia. Algoritma Hebb Rule digunakan untuk melatih jaringan agar dapat mengidentifikasi dan membentuk asosiasi antara pola input dan output. Penelitian ini fokus pada penggunaan algoritma Hebb Rule dalam mengenali pola huruf “T” dan “U” dalam format matriks 5x5 dengan representasi data bipolar, di mana “X” diwakili sebagai -1 dan “O” diwakili sebagai 1. Metodologi penelitian mencakup identifikasi masalah, tujuan penelitian, pengenalan pola huruf, penerapan algoritma Hebb Rule, dan hasil pola. Hasil penelitian menunjukkan bahwa pola pada huruf “T” dan “U” dapat diidentifikasi menggunakan algoritma Hebb dengan nilai bersih 32 dan -32, masing-masing. Penelitian ini juga mencakup perubahan bobot dan bias pada jaringan Hebb melalui serangkaian iterasi, serta perhitungan nilai aktivasi jaringan untuk menentukan keberhasilan pengenalan pola. Kesimpulannya, penelitian ini memberikan wawasan yang lebih dalam tentang penggunaan algoritma Hebb dalam pengenalan pola huruf dan potensinya dalam pengembangan aplikasi praktis.
Pelatihan Aplikasi Augmented Reality Pengenalan Buah-Buahan bagi Guru Pendidikan Anak Usia Dini (PAUD) Pandehen Kristianti, Novera; Ressa Priskila; Widiatry; Viktor Handrianus Pranatawijaya; Putu Bagus Adidyana Anugrah Putra; Nova Noor Kamala Sari; Efrans Christian; Septian Geges
Jurnal Atma Inovasia Vol. 4 No. 4 (2024)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v4i4.9437

Abstract

Pelatihan aplikasi Augmented Reality (AR) pengenalan buah-buahan ini diselenggarakan untuk guru Pendidikan Anak Usia Dini (PAUD) di Pandehen dengan tujuan meningkatkan kualitas pembelajaran dan keterampilan guru dalam memanfaatkan teknologi modern. Dalam pelatihan ini, guru-guru PAUD diperkenalkan dengan aplikasi AR yang dirancang khusus untuk membantu anak-anak mengenal berbagai jenis buah-buahan secara interaktif dan menyenangkan. Metode pelatihan meliputi sesi teori dan praktik, di mana para peserta diajarkan cara mengoperasikan aplikasi AR, memahami fitur-fiturnya, serta bagaimana mengintegrasikannya ke dalam kegiatan belajar mengajar di kelas. Hasil dari pelatihan ini diharapkan dapat meningkatkan kemampuan guru dalam menggunakan teknologi sebagai alat bantu edukatif, memperkaya pengalaman belajar anak-anak, serta menciptakan lingkungan pembelajaran yang lebih dinamis dan interaktif. Evaluasi terhadap efektivitas pelatihan dilakukan melalui observasi langsung, kuesioner, dan wawancara dengan para peserta. Ditemukan bahwa pelatihan ini secara signifikan meningkatkan pengetahuan dan keterampilan guru dalam menggunakan aplikasi AR, serta memberikan dampak positif terhadap minat dan partisipasi anak-anak dalam kegiatan belajar. Kesimpulannya, pelatihan ini berhasil mencapai tujuan yang diharapkan dan direkomendasikan untuk diterapkan secara lebih luas di berbagai lembaga pendidikan PAUD.
Peningkatan Kapasitas SDM Guru Melalui Pelatihan Penggunaan Bamboozle Dan Quizziz Dalam Pembelajaran Interaktif di SMA Negeri 3 Palangka Raya Sanjayanto Nugroho; Aprilita Aprilita; Nurlia Eka Damayanti; Novera Kristianti
I-Com: Indonesian Community Journal Vol 5 No 1 (2025): I-Com: Indonesian Community Journal (Maret 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v5i1.5935

Abstract

This article discusses increasing the capacity of teachers' human resources (HR) through training in using the Bamboozle and Quizziz digital platforms in interactive learning. The main problem faced is the lack of teacher skills in using educational technology, which has an impact on the level of student participation in the learning process which is still low. The aim of this research is to improve teachers' skills in utilizing digital platforms to create more dynamic and participatory learning. The method used is intensive training involving theory sessions and direct practice for teachers at SMA Negeri 3 Palangka Raya. The results of the training showed a significant increase in teacher skills, which had a positive impact on student engagement during the teaching and learning process. The conclusion of this article is that integrating technology such as Bamboozle and Quizziz can be an effective solution to face the challenges of the digital era, including creating an interactive and more interesting learning environment.
PENGUATAN PERAN POSYANDU DALAM PENCEGAHAN KECACINGAN MELALUI EDUKASI DAN PEMANFAATAN DAUN PEPAYA SEBAGAI ANTIHELMINTIK ALAMI Ngazizah, Febri Nur; Wulandari, Meyta; Kristianti, Novera; Hasanah, Rizka; Wati, Septia Puji; Carolina, Tria; Robiul, Indah
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i1.36254

Abstract

Abstrak: Kecacingan masih menjadi masalah kesehatan masyarakat yang sering diabaikan namun berdampak besar, terutama pada anak-anak usia dini. Kegiatan pengabdian ini bertujuan untuk mengetahui efektivitas edukasi yang dilakukan oleh tim pengabdi dalam meningkatkan pengetahuan kelompok posyandu mengenai pencegahan kecacingan serta pemanfaatan daun pepaya sebagai antihelmintik alami. Metode yang digunakan adalah penyuluhan dengan pendekatan edukatif partisipatif melalui dua sesi utama kepada 15 anggota Posyandu Melati. Evaluasi dilakukan melalui pretest dan posttest menggunakan 15 soal pilihan ganda. Indikator keberhasilan dari kegiatan pengabdian ini dilihat dari peningkatan nilai postes. Hasil menunjukkan peningkatan pengetahuan yang signifikan, terutama pada aspek pengetahuan tentang kandungan daun pepaya dari 56,33% menjadi 100%. Edukasi melalui permainan interaktif, diskusi kelompok, dan demonstrasi praktis terbukti efektif dalam menyampaikan materi dan meningkatkan literasi kesehatan masyarakat.Abstract: Helminthiasis remains a public health problem that is often neglected yet has a significant impact, especially among young children. This community service activity aimed to determine the effectiveness of education conducted by the service team in improving the knowledge of Posyandu (community health post) groups regarding the prevention of helminthiasis and the use of papaya (Carica papaya) leaves as a natural anthelmintic.The method used was counseling with a participatory educational approach, carried out in two main sessions involving 15 members of Posyandu Melati. Evaluation was conducted through pretests and posttests using 15 multiple-choice questions. The indicator of success for this community service activity was measured by the increase in posttest scores. The results showed a significant increase in knowledge, particularly regarding the content of papaya leaves, which rose from 56.33% to 100%. Educational activities through interactive games, group discussions, and practical demonstrations proved effective in delivering material and improving community health literacy.
Penguatan Kompetensi Kejuruan Siswa TKJ Melalui Pelatihan Jaringan Komputer di SMKN 8 Palangka Raya Septian Geges; Novera Kristianti
I-Com: Indonesian Community Journal Vol 6 No 2 (2026): I-Com: Indonesian Community Journal (Juni 2026)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v6i2.10391

Abstract

Perkembangan teknologi informasi menuntut kompetensi jaringan komputer yang memadai, namun keterbatasan perangkat praktik masih menjadi kendala bagi siswa Teknik Komputer dan Jaringan (TKJ). Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan siswa SMKN 8 Palangka Raya melalui pelatihan Cisco Packet Tracer. Metode yang digunakan meliputi penyampaian materi dasar jaringan, praktik konfigurasi, simulasi kasus Lomba Kompetensi Siswa (LKS), serta evaluasi menggunakan pretest, posttest, observasi, dan penugasan. Kegiatan diikuti oleh 21 siswa Program Keahlian TKJ. Hasil evaluasi menunjukkan rata-rata nilai peserta meningkat dari 55,0 pada pretest menjadi 78,81 pada posttest, dengan kenaikan sebesar 23,81 poin. Selain peningkatan hasil belajar, peserta juga menunjukkan kemampuan yang lebih baik dalam memahami topologi jaringan, konfigurasi perangkat, routing dasar, dan troubleshooting, serta memiliki kepercayaan diri yang lebih tinggi dalam menghadapi uji kompetensi dan kompetisi. Pelatihan ini efektif mendukung peningkatan kompetensi siswa di bidang jaringan komputer.
Pelatihan Pemanfaatan Platform Video Conference untuk Mendukung Pembelajaran Hybrid bagi Siswa SMP Negeri 6 Palangka Raya Nova Noor Kamala Sari; Ressa Priskila; Widiatry; Viktor Handrianus Pranatawijaya; Putu Bagus Adidyana Anugrah Putra; Efrans Christian; Septian Geges; Novera Kristianti; Tomas Leonardo; Purmasari
Jurnal Atma Inovasia Vol. 6 No. 2 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i2.12707

Abstract

The community service activity entitled “Training on the Use of Video Conference Platforms for Students of SMP Negeri 6 Palangka Raya” was conducted with the main objective of enhancing students’ digital literacy, particularly in utilizing online learning applications such as Google Meet and Zoom. The identified problem was the students’ limited technical skills in operating these platforms, which could hinder their active participation in both hybrid and online learning. To address this issue, the program was designed as a hands-on training that included the introduction of basic features, simulations of virtual classrooms, and guidance on digital ethics in online interactions. Through this approach, students not only acquired fundamental technical skills but also improved their confidence in participating in online learning and developed a sense of responsibility in using technology. Therefore, this activity provides a tangible contribution to supporting students’ readiness in facing the increasingly digitalized educational landscape
Co-Authors Ahmad Abdul Hadi Albertus Joko Santoso Alif Tuharea, Mohammad Andhika Maharani, Anastasya Andrea Micelle, Fito Anugrahnu, Dian Putra Aprilita Aprilita Asri Fridtriyanda Audy Mirelia W.S Aviedo Murel, Muhammad Bobby Frana, Muhammad Bryand Rolando Carolina, Tria Deria Girace Gebrila, Desi Efrans Christian Febri Yoga Saputra, Mochammad Fernando, Samuel Fransisco, Theo Gedeon Grivaldi, Antonio Delano Hartono, Timothy Priambodo Hasanah, Rizka Kristian, Erick Kristiani, Margareta Kudadiri, Angelina Kurniasi, Ririn Leonardo, Tomas Mahatmanti , Anin Dita Maria, Firda Kristeni Meyta Wulandari Nabila Edison, Wafiq Ngazizah, Febri Nur Niwayan Purnawati Nova Noor Kamala Sari Nurika Nurlia Eka Damayanti Onie D. Sanitha Onie D. Sanitha Onie Dian Sanitha Onie Dian Sanitha Pebrian Siregar, Efrandi Pranowo Pranowo Priskila, Ressa Purmasari Purnawati, Niwayan Putra, Putu Bagus Adidyana Anugrah Putri, Jesica Paskaria Putri, Oktaviani Enjela Rahman Maulana, Aulia Rahman, Resha Ananda Raka Yustianto, Samuel Ressa Priskila Rinsaghi, Yudha Robiul, Indah Rolando, Bryand Sanjayanto Nugroho Saputri, Belia Septa Natalina, Melinda Septian Geges Septian Geges Septian Geges Silvia, Putri Taufiqurahman Theo Fransisco Theo Fransisco Theo Fransisco Tomas Leonardo Valerius Wilson, Yonas Viktor Handrianus Pranatawijaya Wati, Septia Puji Widiatry Widiatry Widiatry, Widiatry Wirayuda, Akbar Yunida Iashania Yusuf Aditya Sihombing Zulfina, Safira