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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Sistem Komputer Proceedings of KNASTIK Journal The Winners Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Penelitian Pendidikan IPA (JPPIPA) CogITo Smart Journal INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sebatik Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL PENDIDIKAN TAMBUSAI Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) Building of Informatics, Technology and Science FINANCIAL : JURNAL AKUNTANSI JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Advance Sustainable Science, Engineering and Technology (ASSET) International Journal of Social Science Indexia J-SAKTI (Jurnal Sains Komputer dan Informatika) KINGDOM : Jurnal Teologi dan Pendidikan Agama Kristen Jurnal Minfo Polgan (JMP) Jurnal Teknologi Sistem Informasi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Eduvest - Journal of Universal Studies Jurnal INFOTEL Journal of Technology Informatics and Engineering Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Scientific Journal of Informatics CSRID Society Jurnal DIMASTIK Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Hendry
Universitas Kristen Satya Wacana
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Perancangan Sistem Informasi Data Pasien Rehabilitasi Pada Institusi Penerima Wajib Lapor (IPWL) Bukit Doa Berbasis Web Daniel, Benny; Hendry, Hendry
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14706

Abstract

Pengelolaan data yang baik memungkinkan institusi untuk menyimpan, mengakses, danmenganalisis informasi secara efektif untuk mendukung pengambilan keputusan yang lebihakurat. Namun, tanpa sistem yang terstruktur dan terintegrasi, data dapat sulit diatur, rentanterhadap kesalahan, dan berisiko hilang atau tidak terdokumentasi dengan baik. InstitusiPenerima Wajib Lapor (IPWL) merupakan institusi yang ditunjuk oleh pemerintah untukmemberikan layanan rehabilitasi bagi penyalahguna narkoba yang melaporkan diri secarasukarela. Dalam menjalankan fungsinya, IPWL Bukit Doa menangani berbagai data pasien,mulai dari riwayat kesehatan, program rehabilitasi yang diikuti, hingga perkembangan pasienselama masa rehabilitasi. Namun, pengelolaan data yang masih dilakukan secara manual ataumenggunakan sistem konvensional sering kali menyebabkan keterlambatan dalam mengaksesinformasi, risiko kehilangan data, dan kurangnya efisiensi dalam pelaporan dan pemantauanpasien. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasiberbasis web yang dapat membantu IPWL Bukit Doa dalam mengelola data pasien rehabilitasisecara lebih sistematis dan efisien. Sistem ini dirancang agar mudah digunakan oleh tenagakesehatan dan petugas rehabilitasi, serta dapat diintegrasikan dengan kebijakan dan proseduryang telah diterapkan di IPWL.
SISTEM INFORMASI PENJUALAN BERBASIS WEB MENGGUNAKAN METODE WATERFALL PADA TOKO FAMILY CELL Pratama Siregar, Hari Nanda; Suherman, Suherman; Hendry, Hendry
Indexia Vol. 7 No. 1 (2025): INDEXIA : Informatics and Computational Intelligent Journal Volume 7 Nomor 1 Me
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/indexia.v7i1.9653

Abstract

Sales information systems are an important component in supporting the efficiency and effectiveness of business operations, especially in the retail sector such as Toko Family Cell. The recording process that is still done manually causes various obstacles, such as inaccuracy in sales reports, errors in stock recording, and slow decision-making processes. This study aims to design and develop a web-based sales information system using the Waterfall method consisting of five stages: needs analysis, design, implementation, testing, and maintenance. The system developed only has one user level, namely admin, in accordance with the needs of the store which is only managed by the owner and one employee. The main features in this system include login, product data management (card and voucher stock), sales transactions and balance top-ups, and report printing. The system has been tested using the Lighthouse method which showed positive results. In addition, a simple embedding algorithm is applied to represent product data in numeric form to support the development of product recommendation features in the future. The final results show that this system is able to increase the speed, accuracy, and ease of transaction processes and sales data management at Toko Family Cell.
ANALYSIS OF LAND COVER CHANGE IN MOROWALI USING LANDSAT 8 SATELLITE IMAGERY AND UNSUPERVISED CLASSIFICATION METHOD Benedictus Lanang Ido Hernanto; Hendry, Hendry
International Journal of Social Science Vol. 5 No. 2: Agustus 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/ijss.v5i2.10997

Abstract

Land use changes reflect the ecological and socio-economic dynamics of a region. This study aims to analyze land cover changes using Landsat 8 satellite imagery with the unsupervised classification method. Land cover is categorized into five classes: light vegetation, dense vegetation, rice fields, plantations, and settlements and mining areas. The analysis was conducted by comparing data from 2013 and 2018. The results indicate a significant increase in the area of mining and settlements by 71.60 km² and 476.88 km², respectively. Conversely, the area of rice fields and light vegetation decreased by 1117.93 km², natural canopy decreased by 672.03 km², and plantations decreased by 524.84 km². These findings indicate land conversion from natural vegetation to non-vegetative areas due to mining industry expansion and settlement growth. This study provides valuable insights for more sustainable land-use planning in the future
Implementasi Algoritma Clustering K-Means untuk Segmentasi Pelanggan di E-Commerce Mado, Priscianus Mikael Kia; Hendry, Hendry
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1563

Abstract

In the increasingly advanced digital era, competition in the e-commerce world requires companies to understand customer behavior in depth in order to maintain loyalty and increase sales. This study aims to segment e-commerce customers by applying the K-means clustering algorithm using RFM (Recency, Frequency, Monetary) analysis. Customer transaction data is processed through pre-processing stages such as data cleaning and normalization, then the K-means algorithm is applied to group customers into homogeneous segments based on their purchasing behavior characteristics. Optimal grouping is obtained using the Silhouette Score evaluation metric, resulting in three main customer segments. The results of this segmentation can help companies design more effective and focused marketing strategies according to the needs of each customer segment.
Analisis sentimen ulasan tamu terhadap layanan hotel menggunakan pendekatan machine learning Gunawan, Ricardho; Hendry, Hendry
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp295-306

Abstract

Sentiment analysis of guest reviews is a crucial aspect in improving the quality of hotel services. This study aims to analyze the sentiment of guest reviews regarding the services of Grand Diamond Hotel Yogyakarta using a machine learning approach with the Support Vector Machine (SVM) algorithm. SVM was chosen because it can handle high-dimensional data such as text and is capable of forming an optimal separating hyperplane between sentiment classes. The research data was obtained through web scraping from Traveloka, yielding 1,119 reviews, which were processed through preprocessing, translation, and sentiment labeling using the TextBlob library. After TF-IDF weighting, the data was divided into 80% for training and 20% for testing. The linear kernel SVM model achieved 80% accuracy in classifying the reviews into positive, negative, and neutral categories. The results of this study were implemented in a web-based application equipped with data visualization and model evaluation features, allowing hotel management to efficiently monitor and analyze guest sentiment and support data-driven service quality improvement.
Prediction of the Birth Rate of Babies at Regional Hospitals in Salatiga City Using the Naïve Bayes Algorithm Saputri, Adelliya Dewi; Hendry, Hendry
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18466

Abstract

Birth rates have a significant impact on population growth and large populations can be a burden on development. In the Salatiga City Regional Hospital, the numbers tend to change every year, with the current population density making it a special concern for the City of Salatiga. Therefore, it is hoped that the application of Data Mining Techniques with the Naive Bayes algorithm can help predict the number of births in the future using the RapidMiner Application. In this research, the population used was Population Data from Salatiga City with a total of 989,674 residents. Then the sample used was 4699 babies from the Salatiga City Regional Hospital. All data was taken from 2019 – 2023 by conducting observations, literature studies and documentation. By analyzing the pattern of each variable and testing the training data against the testing data, a calculation was produced which shows the Testing Data Prediction, namely the "High" label with the number 4.77192E-06, with this the predicted result of the Baby Birth Rate in the Salatiga City Regional Hospital which is influenced by Population Density in 2024 it will be even higher.
A Comparison Support Vector Machine, Logistic Regression And Naïve Bayes For Classification Sentimen Analisys user Mobile App Baihaqi, Kiki Ahmad; Setyawan, Iwan; Manongga, Danny; Purnomo, Hendryanto Dwi; Hendry, Hendry; Fauzi, Ahmad; Hananto, Aprilia
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.962

Abstract

Data is the most important thing, the use of data can be useful to get an evaluation from the user of a system or application that is built based on mobile. Not only, the assessment or acceptance results of mobile applications during the trial stage are considered important, assessments and comments from direct users are also important things that can be input for mobile application developers. Data mining, or known in English as data mining, is the answer to the process of retrieving data on any media. In this research, data mining is carried out on the media mobile application download service provider Google Playstore, which provides data in the form of comments and ratings. After scraping the data and obtaining the latest data parameters determined by the latest 2000 comments, the data is pre-processed by removing the emot icon character and eliminating unneeded variables so that the data obtained can be processed to the next stage, namely classification based on ratings and sentiment comments. The algorithms used or compared in this research are Support Vector machine, logistic regression and naïve bayes which are known to be reliable in data mining processing. In this research, the accuracy results are 88% for SVM, 90.5% for Logistic Regression and 91% for naïve bayes.
A Analisa Kecepatan dan Keamanan Jaringan 5G Pada Optical Network Terminal (ONT) Menggunakan Metode Quantum-Behaved Particle Swarm Optimization (Studi Kasus : Iconnet) Tarigan, Aldi Ekin Arapenta; Hendry, Hendry
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14174

Abstract

Jaringan 5G merupakan generasi kelima dari teknologi seluler nirkabel, yang menawarkan kecepatan unggah dan unduh yang lebih tinggi, koneksi yang lebih konsisten, dan peningkatan kapasitas dibandingkan jaringan sebelumnya. Teknologi 5G merupakan teknologi nirkabel yang lebih maju daripada teknologi nirkabel sebelumnya. Dengan bandwidth yang lebih besar, kecepatan data yang lebih tinggi, dan tingkat keterlambatan yang lebih rendah. penelitian ini melakukan pencarian posisi FAP pada perancangan jaringan indoor building 4G LTE dengan frekunensi 1800 MHz menggunakan metode Quantum-Behaved Particle Swarm Optimization (QPSO) dengan software Matlab 2013a yang memiliki hasil berupa koordinat posisi FAP pada area yang menjadi studi kasus pada Optical Network Terminal (ONT). Kemudian hasil dari posisi FAP tersebut diterapkan pada perancangan jaringan indoor building yang dilakukan menggukanan software Radiowave Propagation Simulator (RPS) 5.4 yang disimulasikan untuk mengetahui nilai cakupan sinyal dan SIR (Signal to Interference Ratio) terutama pada jaringan Network Optical Terminal (ONT).
Mewujudkan Keadilan Beragama di Tengah Pluralitas Agama di Indonesia dalam Bingkai Pancasila Hendry, Hendry
Jurnal Pendidikan Tambusai Vol. 8 No. 1 (2024): April 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v8i1.13396

Abstract

Ciri khas yang dimiliki oleh bangsa Indonesia yang besar adalah adanya kemajemukan (pluralitas) dalam berbagai bidang seperti agama, budaya, suku bangsa, adat istiadat, bahasa dan banyak hal lainnya. Kemajemukan ini diayomi oleh dasar negara yang bernama Pancasila dengan semboyannya “Bhineka Tunggal Ika” yang berarti meskipun berbeda tetapi satu adanya. Sayangnya apa yang dicita-citakan masih belum terwujud sempurna dimana ketidakadilan dalam beragama masih menimpa agama-agama minoritas. Penelitian ini bertujuan untuk menanggulangi dan mencegah ketidakadilan agama ditengah pluralitas agama di Indonesia dengan berbagai bentuk seperti kekerasan berbasis agama, pembatasan kebebasan praktik beragama, dan penanganan konflik dan penyelesaiannya. Mencermati dan menyikapi undang-undang yang bersifat diskriminatif terhadap kelompok agama tertentu. Serta menciptakan dan menerapkan pendidikan agama di sekolah-sekolah yang adil dan seimbang terhadap semua agama di Indonesia. Penerapan nilai-nilai Pancasila benar-benar krusial untuk diimplementasikan dalam kehidupan berbangsa, sehingga keadilan beragama di Indonesia dapat benar terwujud. Hal ini masih harus terus dilakukan dan diwujudkan secara kontinyu oleh semua lapisan warga negara Indonesia.
PERTUMBUHAN ROHANI BERDASARKAN 1 PETRUS 2:1-4 DI KOMUNITAS NGOBROLIN PAPI SURGAWI JAKARTA Hendry, Hendry; Susanta, Vonny A.
STT Kingdom Vol 4 No 2 (2024): KINGDOM : Jurnal Teologi dan Pendidikan Agama Kristen
Publisher : STT KINGDOM BALI

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

Abstract

Kepemimpinan Penelitian ini mengkaji dampak ketidakpedulian sebagian pemimpin gereja dan anggota jemaat terhadap pertumbuhan rohani, yang dapat menyebabkan stagnasi iman. Kendala dalam pertumbuhan rohani Kristen sering muncul dari persoalan hidup, yang bisa memperkuat atau malah mengganggu iman.Menggunakan metode kualitatif deskriptif, penelitian ini melibatkan enam pemimpin gereja sebagai subjek. Data dikumpulkan melalui wawancara semi terstruktur dan diuji dengan ketekunan. Analisis data dilakukan dengan tiga tahap: kondensasi, penyajian, dan penarikan kesimpulan. Temuan menunjukkan bahwa pemahaman dan penerapan prinsip pertumbuhan rohani menurut 1 Petrus 2:1-4 di komunitas Ngobrolin Papi Surgawi Jakarta masih belum optimal. Penelitian ini menekankan perlunya perbaikan dalam pemahaman dan aplikasi pertumbuhan rohani untuk menghindari stagnasi iman dan mendukung perkembangan spiritual yang berkelanjutan.
Co-Authors Ade Iriani Adenia Kusuma Dayanthi Adriyanto Juliastomo Gundo Agista Nindy Yuliarina Agus Susanto Amanda, M. F. Anton Hermawan April Lia Hananto Atik Setyanti, Angela Aviv Yuniar Rahman Baihaqi, Kiki Ahmad Benedictus Lanang Ido Hernanto Christine Dewi Daniel, Benny Danny Manongga Darwin Lie Dewasasmita, Elsha Yuandini Dewi Puspitasari Eka, Muhammad Eko Sediyono eric secada purba Erick Alfons Lisangan Erits Talapessy Erwien Christianto Ester Caroline Dwi Wijaya Wijaya Fauzi Ahmad Muda Fenny Fenny Franly Salmon Pattiiha Fredryc Joshua Pa'o Giarti, Giarti Gunawan, Ricardho Handoko Handoko Handoko, Andrew C Hanita Yulia Hendra Waskita Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil Indriaty, Novica Irwan Sembiring Ismael Ismael Ivan Sukma Hanindria Iwan Setiawan Iwan Setyawan Jessica Margaret Br Sembiring Joko Siswanto Julians, Adhe Ronny Kesumawati, Ramadini Kho, Delvian Christoper Krismiyati Kristoko Dwi Hartomo Kurnia, Sri Kurniawan Teguh Martono Leni Marlina Liawatimena, S. Lidia Gayatri Madawara, Herdin Yohnes Mado, Priscianus Mikael Kia Magda Kitty Hartono Mahulete, Ebenhaezer Yohanes Abdeel Manongga, Daniel Margaretha Intan Pratiwi Hant Martaliana Putri Agustina Merryana Lestari Muhammad Khahfi Zuhanda Muhammad Rizky Pribadi Nadia Sofie Soraya Nalbraint Wattimena Nansy Stephanie Mongi Nugraha, Febrina Tesalonika Panja, Eben Paryono, Tukino Pratama Siregar, Hari Nanda Pratama, Arya Damar Purnomo, Hendryanto Dwi Putri Dwi Novrina Raden Mohamad Herdian Bhakti Ramos Somya Ravensca Matatula Ravensca Matatula Richard V. Llewelyn Rizal, Chairul Robertus Bagaskara Radite Putra Ronny Julians, Adhe Rostina, Cut Fitri Rung Ching Chen Santoso, Joseph Teguh Saputri, Adelliya Dewi Septhiani, Angeline Sholikin, Muhammad Simanjuntak, Dahnil Anzar Sjukun Suharyadi Suherman, Suherman Sukiman Sukiman Supiyandi Supiyandi Susanta, Vonny A. Sutarto Wijono Suvirocana, Suvirocana Syefudin Syefudin Tarigan, Aldi Ekin Arapenta Teddy Marcus Zakaria Theopillus J. H. Wellem Tukino, Tukino Uly, Novem Untung Rahardja Vanisa Meifari Wahyuningsih, Novia Wibowo, Kurniawan Indra Widi, Anugerah Wijaya, Elyzabeth Winny purbaratri Yandra Rivaldo Yessica Nataliani Zulham Zulham