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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal CoreIT Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL TEKNOLOGI DAN OPEN SOURCE Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURTEKSI Zonasi: Jurnal Sistem Informasi Journal of Applied Engineering and Technological Science (JAETS) Jurnal Pengabdian Masyarakat Multidisiplin JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter IJISTECH Jutsi: Jurnal Teknologi dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat J-COSCIS : Journal of Computer Science Community Service Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat SATIN - Sains dan Teknologi Informasi JURNAL KARYA ILMIAH MULTIDISIPLIN INOVTEK Polbeng - Seri Informatika Edu Komputika Journal
Ahmad Zamsuri, Ahmad
Universitas Lancang Kuning
Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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SOFTWARE ENGINEERING OF COSTUMER SAVINGS AT LANCANG KUNING UNIVERSITY WASTE BANK Asril, Elvira; Muzdalifah, Indah; Syahtriatna, Syahtriatna; Zamsuri, Ahmad; Ramadani, Indah
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 4 (2024): September 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i4.3357

Abstract

Abstract: Based on observations and analysis of the current information system and website of the Unilak waste bank, it can be concluded that it is necessary to develop the software and information management system of this waste bank. The application does not yet support the transaction needs at the waste bank. Although there are features, they don’t run as they should. This was also complained about by the director and staff of the Unilak waste bank. Therefore, this study was conducted to design a waste bank transaction management information system and software that will support its business processes, starting from calculating waste prices, managing customer savings to final reports. The research method used is qualitative, using information system analysis techniques and websites that are currently running at the Unilak waste bank. While for the SDLC (software development life cycle) development method, the XP Agile Methodologies cycle is used which is simpler and can be completed in a short time. There are 4 stages, namely Planning (requirements), design, implementation and testing. This study resulted in a customer transaction system design and software development that can help manage customer transaction activities at the Unilak waste bank. Keywords: costumer; savings; software engineering; waste bank.  Abstrak: Berdasarkan observasi dan analisis terhadap sistem informasi dan website bank sampah Unilak yang berjalan saat ini, dapat disimpulkan bahwa perlu dilakukan pengembangan terhadap perangkat lunak maupun sistem informasinya. Aplikasi belum mendukung kebutuhan transaksi di bank sampah. Meskipun ada fitur-fiturnya, namun tidak berjalan sebagaimana mestinya. Hal ini juga dikeluhkan oleh direktur dan pengelola bank sampah Unilak. Maka penelitian ini dilaksanakan untuk merancang sistem informasi transaksi nasabah bank sampah dan perangkat lunak yang akan mendukung proses bisnisnya, yaitu mulai dari perhitungan harga sampah, pengelolaan tabungan nasabah hingga laporan akhir. Metode penelitian yang digunakan adalah kualitatif, menggunakan teknik analisis sistem informasi dan website yang sedang berjalan di bank sampah Unilak. Sedangkan untuk metode pengembangan SDLC (software development life cycle) menggunakan siklus XP Agile Methodologies yang lebih sederhana dan bisa diselesaikan dalam waktu singkat. Terdapat 4 tahap yaitu planning (requirements), analys, design, dan implementation. Penelitian ini menghasilkan rancangan sistem transaksi nasabah dan pengembangan perangkat lunak yang dapat membantu pengelolaan aktivitas transaksi nasabah di bank sampah Unilak. Kata kunci: bank sampah; nasabah; rekayasa perangkat lunak; tabungan.           
RANCANG BANGUN SISTEM INFORMASI PUSKESMAS UMBAN SARI BERBASIS WEB Iskandar, Deni; Nasution, Nurliana; Zamsuri, Ahmad
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): FEBRUARY 2024
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v4i1.3054

Abstract

Abstract: Umban Sari Community Health Center still uses handwriting to process data on young children, causing reports to be lost or damaged. In general, community health centers face various obstacles in recording and reporting. Based on the results of the interview, there were various obstacles related to recording and reporting the results of activities, namely the handwritten health center information system and the reporting warehouse which was quite messy and cramped. This system is a prototype method. Prototyping is a systematic development method that uses an approach to build a program quickly and gradually so that users can launch it immediately. Data from field studies were collected by researchers directly from the Umban Sari Community Health Center, Rumbai Regency. The author conducted interviews to obtain information about the process carried out, observations to confirm and perfect the material, and obtain direct information about the research. The aim of the system analysis stage is to create a basis for creating or improving existing systems. The results of the analysis can be used to create or modify a more effective and efficient system.Keywords: Health Center, Information System, Modeling Abstrak : Puskesmas Umban Sari masih menggunakan tulisan tangan dalam mengolah data anak kecil sehingga menyebabkan laporan hilang atau rusak. Secara umum, puskesmas menghadapi berbagai hambatan dalam pencatatan dan pelaporan. Berdasarkan hasil wawancara, terdapat berbagai kendala terkait pencatatan dan pelaporan hasil kegiatan, yaitu sistem informasi puskesmas yang ditulis tangan dan gudang pelaporan yang cukup berantakan dan sempit. sistem ini adalah metode prototipe. Prototyping adalah metode pengembangan sistematis yang menggunakan pendekatan untuk membangun sebuah program secara cepat dan bertahap sehingga pengguna dapat segera mengevaluasinya. Data hasil studi lapangan dikumpulkan oleh peneliti langsung dari Puskesmas Umban Sari Kabupaten Rumbai. Penulis melakukan wawancara untuk memperoleh informasi mengenai proses yang dilakukan, observasi untuk mengkonfirmasi dan menyempurnakan materi, serta memperoleh informasi langsung mengenai penelitian.Tujuan dari tahap analisis sistem adalah untuk membuat landasan dalam membuat atau memperbaiki sistem yang sudah ada. Hasil analisis dapat digunakan untuk membuat atau memodifikasi sistem yang lebih efektif dan efisien.Kata Kunci: Pemodelan, Puskesmas, Sistem Informasi
Increasing High School Students' Digital Literacy Through Interactive Learning: Peningkatan Literasi Digital Siswa SLTA Melalui Pembelajaran Interaktif Eko Sediyono; Tintien Koerniawati; Zamsuri, Ahmad
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 4 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i4.19401

Abstract

Naskah ini membahas tentang pelaksanaan kegiatan masyarakat literasi digital di SLTA di kota Salatiga. Sebelum pelaksanaan kegiatan telah disusun buku ajar Literasi Digital di Era Industri 4.0 dan Sosial 5.0. Materi dibagi menjadi dua sesi dan diajarkan kepada siswa di tiga sekolah di Salatiga. Tiap sekolah dipilih 50 siswa kelas 11. Metode pengajaran yang digunakan adalah metode interaktif dalam 2 sesi selama empat bulan untuk tiap sekolah. Sebelum dan setelah pembelajaran dilakukan uji pre-test dan post-test yang berisi soal-soal pemahaman tentang pengetahuan yang ada di buku ajar yang disiapkan. Nilai pre-test dan post-test dianalisis menggunakan uji t untuk sampel berpasangan. Hasilnya metode pembelajaran yang dilakukan dapat meningkatkan literasi siswa SLTA di kota Salatiga. Buku ajar dan kegiatan pengabdian masyarakat ini dapat dilanjutkan untuk mempersiapkan para siswa memasuki perguruan tinggi, yang dapat mengakses berbagai sumber digital secara benar dan aman.
Analysis of the Use of the Merdeka Mengajar Platform Using the Hedonic Motivation System Adoption Model Djusar, Syahtriatna; Abini, Eka Yestira Nita; Asril, Elvira; Zamsuri, Ahmad
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10741

Abstract

The success of the implementation of the Merdeka Mengajar Platform (PMM) is measured by its acceptance and sustained use by teachers. This study will measure the factors influencing the acceptance and continued use of PMM by 53 teachers as respondents, from four high schools in the Rumbai District of Pekanbaru City, Riau Province, each of whom was given 21 questions. To accomplish this, the Hedonic Motivation System Adoption Model was used, which includes the following variables: Perceived Ease of Use (X1), Perceived Usefulness (X2), Curiosity (X3), Joy (X4), Control (X5), Behavioral Intention to Use (Y1), and Focused Immersion (Y2). Data analysis was conducted using Validity Tests, Reliability Tests, Normality Tests, Linearity Tests, Correlation Tests, Partial Tests, Simultaneous Tests, and Hypothesis Tests. The aspects derived from the use of PMM indicate that the hedonic factors for ease of use (X1) and curiosity (X3) in relation to intention (Y1) have correlation values of 0.560 and 0.661, respectively. Ease of use (X1) has full control over joy (X4) in relation to intention (Y1), with correlation values of 0.560 and 0.657. The factors influencing the success of PMM acceptance are curiosity (X3) and joy (X4). The higher the ease of use combined with curiosity and joy, the stronger the intention to use the application.
Optimizing brain tumor MRI classification using advanced preprocessing techniques and ensemble learning methods Pardede, Akim Manaor Hara; Zamsuri, Ahmad; Nuroini, Indi; Alkhairi, Putrama
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp5106-5119

Abstract

Brain tumor classification is a critical task in medical imaging that directly impacts the accuracy of diagnosis and treatment planning. However, the complexity and variability of magnetic resonance imaging (MRI) images pose significant challenges, often resulting in reduced model reliability and generalization. This study addresses these limitations by proposing a novel ResNet+Bagging model, leveraging the strengths of residual networks and ensemble learning to enhance classification performance. Using publicly available brain tumor MRI datasets, including images labeled as benign, malignant, and normal, the study employs advanced preprocessing techniques such as normalization, data augmentation, and noise reduction to ensure high-quality inputs. The proposed model demonstrated significant improvements, achieving the highest testing accuracy of 72%, outperforming other tested models such as LeNet, standard ResNet, GoogleNet, and VGGNet. Precision (0.6010), recall (0.6000), and F1-score (0.5990) metrics further highlight its superior balance in detecting positive and negative classes. The novelty of this research lies in the application of Bagging to ResNet, which effectively mitigates overfitting and enhances predictive stability in complex medical datasets. These findings underscore the proposed model's potential as a robust solution for brain tumor classification, contributing to more accurate and reliable diagnostics.
Synthetic Minority Oversampling Technique for Efforts to Improve Imbalanced Data in Classification of Lettuce Plant Diseases Nasution, Nurliana; Feldiansyah, Feldiansyah; Zamsuri, Ahmad; Hasan, Mhd Arief
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2883

Abstract

In this study we classified lettuce plant diseases. These plant diseases are available in the form of images that have been converted in .csv format to be classified. These plant diseases are available in the form of images that have been converted in .csv format to be classified. Image These plant diseases have been divided into several classes or categories. Then we determine the features of each row and column of the dataset. Each line in the CSV file represents one image, and each column represents one feature Each line in the CSV file represents one image, and each column represents one feature. Then a label is made for each line in the CSV file, namely the class or category where the images are grouped. Thus, so that we get datasets that are ready to be processed with machine learning. However, in processing the dataset, we get imbalanced data. So we added the Synthetic Minority Over-sampling Technique (SMOTE) method to overcome the imbalance that occurs. So that the data can be classified using several algorithms to find the best accuracy.
Co-Authors Abini, Eka Yestira Nita Alkhairi, Putrama Alwan, Hiba Basim Anam, M Khairul Anam, M. Khairul Andi Zahran Budiman Andre Armada Aprilia Milanda Putri Arini Arita Fitri, Triyani Arpan Asparizal, Asparizal Bayu Febriadi, Bayu Dafwen Toresa Deni Iskandar Eko Sediyono Elvira Asril, Elvira Elvira Elvira Fadly Suandi Fajar, Muhammad Al Fajrizal Fajrizal Fajrizal, Fajrizal Febrizal Alfarasy Syam Febrizal Alfarasy Syam Febrizal As-Syam Feldiansyah Feldiansyah Feldiansyah, Feldiansyah Fitri Juliani Gunadi Widi Nurcahyo Guntoro, Guntoro Hamdani Hamdani Hazira, Nadila Hendrawan, Riki Hiba Basim Alwan idel waldelmi, idel Keumala Anggraini Khairani Djahara, Khairani Lisnawita Lisnawita Loneli Costaner Mariza Devega Mhd. Arief Hasan, Mhd. Arief Muhamad Sadar, Muhamad Muzdalifah, Indah Nurfika Sari Nurliana Nasution Nurliana Nasution, Nurliana Nuroini, Indi Pandu Pratama Putra, Pandu Pratama Pane, Eddissyah Putra Pardede, Akim Manaor Hara Rahmiati Rahmiati Ramadani, Indah Ramadhani, Maya Roki Hardianto Sahrul Saputra Saputra, Eko Ikhwan Sari Herlina Sari Herlina Sari Herlina Sarjon Defit Shelydia Martha Sumijan , Sumijan Susandri, Susandri Susi Handayani Sutejo Sutejo Syafitri (Scopus ID: 57200085316), Wenni Syahtriatna D Syahtriatna Djusar Syahtriatna Djusar Syam, Salmaini Safitri Tintien Koerniawati Triyani Arita Fitri Turnandes, Yogo Vebby Vebby Vebby Walhidayat Walhidayat Walhidayat Wenni Syafitri, Wenni Wirta Agustin Yenni, Heda Yogi Yunefri, Yogi Yogo Turnandes Yogo Turnandes Yoyon Efendi Yoyon Efendi Yuhelmi Yuhelmi Yuvi Darmayunata Zamzami, Zamzami