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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jurnal J-PEMAS JAIA - Journal of Artificial Intelligence and Applications Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat SATIN - Sains dan Teknologi Informasi Bulletin of Social Informatics Theory and Application Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi JEBD The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika New Economy
Susandri, Susandri
Universitas Lancang Kuning
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Mengukur Tingkat Pelayanan Pajak Bumi dan Bangunan Menggunakan Metode Service Quality (Studi Pada Dinas Pendapatan Daerah Kota Pekanbaru) Karpen, Karpen; Rokib, Amul; Susandri, Susandri
Building of Informatics, Technology and Science (BITS) Vol 2 No 1 (2020): June 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.429 KB) | DOI: 10.47065/bits.v2i1.262

Abstract

The Regional Revenue Service (DISPENDA) of Pekanbaru City is a Regional Work Unit (SKPD) which is given the authority to collect and manage local taxes as well as the Regional Financial Management Officer (PPKD). As a tax collection SKPD that relies heavily on trust and public service, DISPENDA is demanded to provide optimal services by always prioritizing the quality of service so that taxpayers will feel satisfied and comfortable, especially for land and building tax (PBB). At present there are still complaints from taxpayers for services provided by DISPENDA, which results in laziness to pay taxes so that there are many tax arrears. For this reason, it is necessary to measure the level of service so that they can find out the complaints of taxpayers and DISPENDA employees can improve the quality of their services. This study uses the Servqual (Service Quality) method which includes variables or dimensions in the form of physical evidence (tangibles), reliability (reliability), responsiveness (responsiveness), assurance (assurance), and empathy (empathy). The results of the test show that each variable gets a positive customer indicator value, namely the physical evidence indicator = 3.82, guarantee = 3.61, empathy = 3.58, responsiveness = 3.66 and reliability = 3.67 from the standard value set. Variable physical evidence (tangibles), has a significant positive influence on satisfaction of taxpayers with an indicator value = 3.82, while the variables of empathy (reliability), reliability (responsiveness), and guarantee (assurance) effect but not significant impact on taxpayer services. This measurement of service level to provide public satisfaction in carrying out its obligations and increase land and building tax revenues for DISPENDA
Sentimen Pengguna Aplikasi BRImo: Kinerja Algoritma Support Vector Machine, Naive Bayes, dan Adaboost Susandri; Yurnalis; Edwar Ali; Susanti; Asparizal
SATIN - Sains dan Teknologi Informasi Vol 9 No 2 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v9i2.1057

Abstract

Dalam konteks perkembangan industri perbankan yang semakin maju, pemanfaatan teknologi modern menjadi faktor kunci untuk meningkatkan kualitas layanan dan memenangkan persaingan di era digital. Bank Rakyat Indonesia (BRI) memikat perhatian masyarakat melalui peluncuran aplikasi perbankan seluler, BRImo. Namun Bank ini perlu meraih pandangan dan pengalaman nasabah terhadap aplikasi mobile banking untuk meningkatkan kualitas pelayanan. Penelitian ini memiliki tujuan untuk menganalisis ulasan pengguna BRImo sebagai objek penelitian. Komparasi dilakukan antara algoritma Support Vector Machine (SVM), Naive Bayes (NB), dan Adaboost dalam mengolah data teks. Evaluasi dilakukan berdasarkan tingkat akurasi, presisi, recall, dan nilai F1-score. Hasil penelitian menunjukkan bahwa algoritma SVM memberikan kinerja terbaik dalam mengklasifikasikan tanggapan masyarakat terhadap aplikasi BRImo, dengan tingkat akurasi sebesar 90,4%, presisi 90,8%, recall 90%, dan nilai F1-score 90,3%. Sebagai perbandingan, algoritma Adaboost memberikan nilai terendah dengan tingkat akurasi sebesar 87%, presisi 87,2%, recall 86,8%, dan nilai F1-score 86,9%.
Analysis Of The Impact Of Hotel Labersa Service Quality On Guest Satisfaction And Loyalty: A Case Study Using Path Analysis Handayani, Risna; Rahman, Bilhaki; Susandri, Susandri
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 3 No. 2 (2024): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

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Abstract

Dalam penelitian yang membahas kualitas layanan terhadap kepuasan dan loyalitas tamu di Hotel Labersa, dimulai dengan menganalisis belum optimalnya pelayanan di hotel tersebut. Penelitian ini mencakup kelima dimensi SERVQUAL: bukti fisik, kehandalan, daya tanggap, jaminan, dan empati yang dipelajari untuk menentukan pengaruh langsung dan tidak langsungnya terhadap kepuasan tamu dan pada akhirnya loyalitas. Dalam penelitian ini, 300 tamu hotel memberikan pandangan mereka melalui kuesioner terstruktur, data yang dikumpulkan kemudian dianalisis menggunakan SEM. Temuan menunjukkan bahwa kelima dimensi tersebut secara signifikan mempengaruhi persepsi tamu terhadap kepuasan, yang pada gilirannya mempengaruhi loyalitas. Empati dan daya tanggap memiliki roles terkuat dalam mengungkapkan dimensi-dimensi kunci kepuasan tamu, menyoroti pentingnya interaksi pribadi dan timbal balik dalam proses ini. Hasil ini menegaskan pentingnya kualitas layanan dalam industri perhotelan dan sisanya, dan mendukung gagasan bahwa peningkatan dimensi-dimensi ini akan meningkatkan loyalitas. Ini memberikan panduan untuk manajemen hotel dalam perbaikan proses dan pelayanan mereka, mencatat fokus pada interaksi staf dan tamu untuk diutamakan. Selain itu, saran untuk penelitian lebih lanjut untuk meninjau pengaruh teknologi pada personalisasi layanan karena tren modern saat ini.
PENGARUH BRAND IMAGE TERHADAP PENINGKATAN PENJUALAN COFFEESHOP DI KOTA PEKANBARU Wahyuni, Neni; Handayani , Risna; Susandri , Susandri
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 3 No. 2 (2024): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

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Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh brand image terhadap peningkatan penjualan coffeeshop di Kota Pekanbaru. Dalam beberapa tahun terakhir, industri kopi di Pekanbaru mengalami pertumbuhan yang pesat, menyebabkan persaingan yang semakin ketat di antara para pemilik coffeeshop. Brand image dianggap sebagai faktor kunci yang dapat memengaruhi loyalitas dan keputusan pembelian konsumen, sehingga berdampak pada peningkatan penjualan. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan survei terhadap 200 responden yang dipilih menggunakan teknik purposive sampling. Data dikumpulkan melalui kuesioner yang terdiri dari 15 item pernyataan untuk mengukur variabel brand image dan 10 item pernyataan untuk mengukur peningkatan penjualan. Analisis data dilakukan menggunakan regresi linier sederhana, dengan hasil menunjukkan bahwa brand image berpengaruh signifikan terhadap peningkatan penjualan dengan nilai koefisien determinasi (R²) sebesar 0,68. Temuan ini menunjukkan bahwa 68% variasi peningkatan penjualan dapat dijelaskan oleh brand image. Brand image yang positif terbukti mampu meningkatkan loyalitas pelanggan dan mendorong pembelian berulang. Hasil penelitian ini memberikan implikasi praktis bagi pengusaha coffeeshop di Pekanbaru untuk fokus pada pengelolaan brand image melalui peningkatan kualitas produk, suasana toko, serta pelayanan yang ramah dan responsif. Penelitian ini juga menyarankan penerapan teknologi digital untuk memperkuat pengalaman pelanggan dan memperkuat brand image.
Peningkatan Kolaborasi Generasi Z Di Lingkungan Pendidikan Dengan Menerapkan SIM Berbasis Cloud Computing Desinawati, Desinawati; Feby Budi Setiawan; Tutut Setiarini; Susandri, Susandri
Jurnal Ekonomi dan Bisnis Digital Vol. 2 No. 2 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

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Abstract

The research was to analyze the relationship between SIM, Cloud Computing and Generation Z collaboration in the school environment, with a focus on SMK Muhammadiyah 1 Pekanbaru. The research method applied is quantitative, it is done by collecting data on answers filled in by students in answering the distributed questionnaires. Likewise for data collected with teacher respondents. The analysis results show that the implementation of a cloud-based management information system has succeeded in increasing collaboration between students and between students and teachers, with a measurable increase in collaboration reaching 85%. These findings indicate that the integration of cloud computing technology in educational systems not only facilitates better communication, but also supports the development of collaborative skills of generation Z. This research recommends further implementation of cloud-based systems to improve the efficiency and effectiveness of learning in educational institutions.
PELATIHAN DESAIN MEDIA DENGAN APLIKASI CANVA UNTUK SISWA MADRASAH ALIYAH MA'ARIF NU PEKANBARU Zamsuri, Ahmad; Susandri, Susandri; Pane, Eddissyah Putra; Feldiansyah, Feldiansyah; Fajrizal, Fajrizal; Herlina, Sari
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i1.3022

Abstract

Abstract: The Canva application is an application that can be used in creating banner designs. With the utilization and development of techniques in making banner designs. In this case, the use of attractive and appropriate media in the process of making training banners will have a positive impact that will have the potential to greatly improve students' ability to create banners with the Canva application. Students and students really need knowledge in making media design with the aim of providing provisions in making media design even though students at Madrasah Aliyah Ma'arif NU Pekanbaru are quite many who want trainings to improve students' soft skill knowledge. Community Service offers a solution in the form of media design making training with the Canva application for students of Madrasah Aliyah Ma'arif NU Pekanbaru. Where this program is expected to be a forum and inspiration for students to increase their knowledge in making Media Design with the canva application. Where this program is expected to be able to be a forum and inspiration for students to be able to increase their knowledge in making Media Design with the great canva application that students and students of Madrasah Aliyah Ma'arif NU Pekanbaru hope for. As a speaker, he provided socialization and at the same time assistance on how to make Media Design with an interesting and certainly very useful application for students of Madrasah Aliyah Ma'arif NU Pekanbaru. Keyword: Media Design, Canva, Students of Madrasah Aliyah Ma'arif NU Pekanbaru  Abstrak: Aplikasi canva merupakan aplikasi yang dapat digunakan dalam pembuatan desain spanduk. Dengan pemanfaatan dan pengembangkan teknik dalam pembuatan desain spanduk. Dalam hal ini, pemanfaatan media yang menarik dan tepat guna dalam proses pembuatan spanduk pelatihan akan memiliki dampak positif yang akan sangat berpotensi meningkatkan kemampuan siswa dalam membuat spanduk dengan aplikasi canva. Para siswa dan siswi sangat membutuhkan pengetahuan dalam membuat desain media dengan tujuan memberikan bekal dalam pembuatan desain media walaupun siswa di Madrasah Aliyah Ma'arif NU Pekanbaru cukup bayak yang menginkan pelatihan-pelatihan untuk meningkatkan pengetahuan softskill siswa. Pengabdian Kepada Masyarakat menawarkan solusi berupa pelatihan pembuatan desain media dengan aplikasi canva untuk siswa Madrasah Aliyah Ma'arif NU Pekanbaru. Di mana program ini diharapkan mampu menjadi wadah dan inspirasi bagi para siswa dapat menambah pengetahuan dalam membuat Desain Media dengan aplikasi canva besar harapan siswa dan siswa Madrasah Aliyah Ma'arif NU Pekanbaru. Sebagai pemateri memberikan sosialisasi dan sekaligus pendampingan mengenai bagaimana pembuatan Desain Media dengan aplikasi canva yang menarik dan pastinya sagat dapat bermanfaat bagi siswa Madrasah Aliyah Ma'arif NU Pekanbaru. Kata kunci: Desain Media, Canva, Siswa Madrasah Aliyah Ma'arif NU Pekanbaru
Enhancing Dental Image Segmentation Techniques: Edge Detection and Color Thresholding Susandri, Susandri; Sumijan , Sumijan; Zamsuri , Ahmad; Rahmiati, Rahmiati; Asparizal, Asparizal
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.18757

Abstract

Rapid advancements in medical technology, particularly in the field of dentistry, have led to significant progress in the application of medical imaging techniques to generate valuable image data. The resulting images often exhibit heterogeneous intensity distributions, with boundaries not always distinctly clear between the tooth roots and bone, along with variations in shape and pose. This study specifically aimed to identify the optimal image for segmenting specific parts of the dental structures. Image segmentation is crucial for ensuring effective diagnosis in the context of dental medicine. To achieve optimal dental image segmentation, this research combines edge detection methods with the determination of color thresholds, specifically grayscale and Hue, Saturation, Value (HSV). The research findings revealed that edge detection using the Sobel gradient operator yielded a relevant count of 17,099 pixels. Using RGB=3 and HSV=0.3 the color thresholds show an enhancement in the brightness of the resulting HSV-segmented image, while in the RGB-segmented image, the selected object appears more prominent. The findings of this study contribute significantly to the evolution of dental image segmentation techniques, potentially enhancing the accuracy and effectiveness of diagnoses within the realm of modern dental practice
OPTIMALISASI KINERJA KLASIFIKASI TEKS BERDASARKAN ANALISIS BERBASIS ASPEK DAN MODEL HYBRID DEEP LEARING Salsabila Rabbani; Agustin; Susandri; Rahmiati; M. Khairul Anam
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4034

Abstract

The conflict between Palestine and Israel has generated strong debates and reactions on social media, including in Indonesia. Public perception of various aspects is certainly important to identify issues in the Palestinian-Israeli conflict. However, the process of manually classifying aspects of the Palestinian-Israeli conflict requires human resources and considerable time. This research aims to explore the views of Indonesians on the Palestinian-Israeli conflict through sentiment analysis based on aspects of Territory, Religion, Politics, and History. Using deep learning technology, specifically a combination model of Convolutional Neural Networks with Long Short-Term Memory (CNN-LSTM), this research analyzes opinion and views data collected from X social media platform (Twitter). This research shows the results of the dataset obtained that the Political aspect dominates more than other aspects. The model evaluation results obtained an accuracy value of 96%, which indicates that the model's ability to classify X users' sentiments towards the Palestinian-Israeli conflict achieved a high level of success.
Spatial-Temporal Analysis of Earthquakes in Indonesia with Deep Learning Models: Performance Evaluation of CNN, LSTM, and Hybrid CNN-GRU Susandri, Susandri; Fajrizal, Fajrizal; Bakri Nasution, Feldiansyah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6538

Abstract

Indonesia, located along the Pacific Ring of Fire, experiences high seismic activity with over 6,000 earthquakes annually. Accurate earthquake prediction remains a major challenge because of the complexity of geological dynamics and limitations of traditional methods in capturing nonlinear seismic patterns. Although deep learning approaches have shown promise, previous studies have often treated spatial and temporal analyses separately, limiting holistic predictive performance. This study proposes a novel hybrid CNN-GRU deep learning model that integrates spatial feature extraction CNN and temporal sequence modeling GRU, and compares its performance with of that CNN, LSTM, GRU, and Bidirectional LSTM using a dataset of 117,251 earthquake events in Indonesia (2008–2024). The results show that Bidirectional LSTM achieved the best temporal accuracy (R² 0.653, RMSE 0.592), while the hybrid CNN-GRU provided balanced spatial-temporal performance (R² 0.587). Notably, the performance gap between Bidirectional LSTM and other models (e.g., Hybrid CNN-GRU) was statistically validated via paired t-test (p < 0.05). The proposed models generalize well to unseen regions such as Maluku-Papua. The key contribution is the hybridization of spatial-temporal learning in a single-model architecture - where CNN processes latitude-longitude coordinates via 1D convolutions while GRU handles temporal sequences - an approach lacking in earlier works. This directly improves early warning systems in seismically active areas by providing 32% higher accuracy than conventional methods.
The Optimizing Sales Strategies to Address Excessive Stock Accumulation: A Data Mining Approach Susandri; Muhammad Arief Solihin; Hamdani; Asparizal
JAIA - Journal of Artificial Intelligence and Applications Vol. 4 No. 1 (2024): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v4i1.1110

Abstract

The Two Pelita Weaving Business has recorded significant sales in the weaving industry, despite facing challenges in managing product stock due to the accumulation of excess stock caused by a lack of customer interest. This study employs data mining techniques, specifically the Association Rule and Apriori algorithms, to analyze sales patterns. The analysis results using Python and Orange Data Mining showed consistency in the relationship between Siku Keluang Weaving and Pucuk Rebung Weaving products, with high occurrence rates of purchase patterns (11.74% and 10%, respectively). High confidence levels with Python at 96.36% and Orange Data Mining at 99.1% indicate that customers who purchase Siku Keluang Weaving are also likely to purchase Pucuk Rebung Weaving products.
Co-Authors -, Henry Adi Wansyah Afriana Munthe , Richa Agustin Ahmad Zamsuri Ahmad Zamsuri, Ahmad Alwan, Hiba Basim Anam, M Khairul Anwar Siregar Asparizal Asparizal, Asparizal Bakri Nasution, Feldiansyah Bimby, Novia Putri Bosker Sinaga Delpa Mario Desinawati, Desinawati Edwar Ali Efrizoni, Lusiana Endardhi, Azmi Rahmat Erlin Fajrizal Fajrizal, Fajrizal Feby Budi Setiawan Feldiansyah, Feldiansyah Fristi Riandari Fristi Riandari Hamdani Handayani , Risna Handayani, Risna Henry - Herwin -, Herwin Herwin Herwin, Herwin Hiba Basim Alwan Hidaya Spitri Indra Prayogo Indra Prayogo Istithoatun Kholishoh Karpen Khusaeri Andesa Koko Harianto Koko Harianto, Koko Mardainis Mardainis -, Mardainis Marliya, Marliya Melgisaputra Dwi Nanda Melgisaputra Dwi Nanda, Melgisaputra Dwi Muhammad Arief Solihin MUHAMMAD TAJUDDIN Nora Lizarti Nurjayadi Nurjayadi Nurliana Nasution Nurliana Nasution, Nurliana Pane, Eddissyah Putra Rahmaddeni Rahmaddeni Rahman, Bilhaki Rahmiati Rahmiati Rahmiati Ramadhani, Maya Ratna Yulia Rokib, Amul Salsabila Rabbani Sandi Saputra Sandi Saputra Sari Herlina Sarjon Defit Sarjon Defit Sumijan , Sumijan SUSANTI SUSI ERLINDA Triyani Arita Fitri Tutut Setiarini Ulfah, Aniq Noviciate Wahyuni, Neni Wansyah, Adi Yoyon Efendi Yoyon Efendi Yulia, Ratna Yurnalis