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All Journal International Journal of Electrical and Computer Engineering SEMIRATA 2015 KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia Jurnal Komputasi Jurnal Teknoinfo Klinikal Sains (Jurnal Analis Kesehatan) Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Kesehatan Saelmakers PERDANA (JKSP) Jurnal Teknologi Komputer dan Sistem Informasi Sains, Aplikasi, Komputasi dan Teknologi Informasi Journal Social Science And Technology For Community Service Buguh: Jurnal Pengabdian Kepada Masyarakat TRIBUTE: JOURNAL OF COMMUNITY SERVICES International Journal of Electronics and Communications Systems Jurnal Pepadun Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal Health Applied Science And Technology (JHAST) Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Ilmu Keperawatan dan Kebidanan IJP (Indonesia Jurnal Perawat) Jurnal Komputasi
Aristoteles, Aristoteles
Ilmu Komputer FMIPA Unila
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Aplikasi Proses Pembelajaran Mahasiswa Keperawatan Berbasis Android Aristoteles, Aristoteles; Kusuma, Abie Perdana; Irawati, Anie Rose; Sakethi, Dwi; Suarni, Lisa
Sains, Aplikasi, Komputasi dan Teknologi Informasi Vol 5, No 1 (2023): Sains, Aplikasi, Komputasi dan Teknologi Informasi
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jsakti.v5i1.10362

Abstract

Perawat adalah tenaga profesional yang dalam memberikan pelayanan medis menggunakan proses ilmiah yang disebut keperawatan. Dalam keperawatan, pemecahan masalah menggunakan proses keperawatan yang merupakan metode berfikir kritis, selama ini perawat harus menganalisis data-data yang ditemukan pada pasien untuk mendiagnosis, menentukan rencana luaran dan intervensi dengan tepat. Mahasiswa yang merupakan calon perawat dengan keahliannya harus mampu menerapkan proses keperawatan dalam kinerja asuhan keperawatan sesuai dengan standar keperawatan yang ada, tentunya dengan adanya pengawasan oleh ahli pengajar keperawatan untuk menghasilkan tenaga perawat yang lebih baik dalam upaya meningkatkan kualitas pelayanan medis. Penelitian ini bertujuan untuk mengembangkan aplikasi android dengan bantuan expert system sebagai alat bantu diagnosa keperawatan, yang membantu mahasiswa keperawatan dalam mempelajari proses keperawatan dan membantu dosen dalam pemantauan proses keperawatan yang dilakukan oleh mahasiswa calon perawat. Sistem pakar menggunakan metode forward chaining, dan pembangunan aplikasi menerapkan metode waterfall. Hasil dari penelitian merupakan aplikasi berbasis android yang diuji menggunakan metode blackbox testing.
TRANSFORMASI BERKELANJUTAN: BANK SAMPAH DAN TANAM HIDROPONIK MENGUKIR JEJAK POSITIF DI DESA BAKAUHENI Miswar, Dedy; Yarmaidi, Yarmaidi; Aristoteles, Aristoteles; Syarif, Admi; Zahra, Rizka Aulia
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 4 No. 1 (2024): Maret 2024
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/buguh.v4n1.2558

Abstract

Bank Sampah merupakan sistem pengelompokkan sampah yang dilakukan sebagai penanggulangan masalah penumpukan sampah yang tidak terorganisisir. Di samping itu, penanggulangan masalah sampah melalui bank sampah dapat melahirkan pemanfaatan sampah anorganik sebagai media Sistem Tanam Hidroponik. Kegiatan ini dibuat untuk menggambarkan realisasi program positif bank sampah dan sosialisasi sistem tanam hidroponik. Kegiatan ini dilakukan oleh Mahasiswa KKN Universitas Lampung di Dusun Simpang Tiga, Desa Bakauheni. Kegiatan ini melibatkan masyarakat untuk belajar, berkolaborasi, serta mempraktikkan secara langsung sistem tanam hidroponik yang dapat menjadi alternatif sistem tanam tradisional. Dampak nyata dari kegiatan ini adalah menerapkan ilmu dan keterampilan yang telah didapat dalam kehidupan sehari-hari.
PENDAMPINGAN MURID SDN 1 KUPANG TEBA TENTANG MITIGASI BENCANA KOTA BANDAR LAMPUNG Wartariyus, Wartariyus; Aristoteles, Aristoteles; Febriansyah, Febi Eka; Utami, Yohana Tri
Laporan Upaya Nyata Inovasi Ilmu Komputer Vol. 2 No. 02 (2024)
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v2i02.27

Abstract

Kota Bandar Lampung merupakan gerbang pintu Pulau Sumatera dimana sering terjadi bencana alam, yaitu berupa gempa bumi, banjir, tanah longsor, kebakaran, angin puting beliung dan bencana yan lain. Namun tidak semua warga Kota Bandar Lampung mengerti dan memahami bagaimana mengelola mitigasi bencana, terutama siswa sekolah di Kota Bandar Lampung. Oleh karena itu, diperlukan pelatihan literasi mitigasi bencana kepada siswa sekolah khususnya siswa SDN 1 Kupang Teba. Tujuan kegiatan pengabdian ini adalah untuk pengetahuan literasi mitigasi bencana bagi siswa SDN 1 Kupang TebaKota Bandar Lampung dengan manfaat yang diberikan adalah bekal ilmu pengetahuan, keterampilan dan motivasi, kepada siswa SDN 1 Kupang Teba tentang bencana.
Sosialisasi Dampak Teknologi Informasi Dalam Kehidupan Masyarakat Sholehurrohman, Ridho; Aristoteles, Aristoteles; Satria, Heri; Mulyono, Mulyono; Junaidi, Junaidi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4700

Abstract

Kemajuan teknologi informasi telah mengubah cara masyarakat berkomunikasi, bekerja, dan belajar, dengan komunikasi digital dan pembelajaran daring menjadi lebih dominan. Transformasi ini juga mempengaruhi dunia kerja dengan meningkatkan produktivitas melalui otomatisasi dan kolaborasi daring. Namun, tantangan seperti kesenjangan digital, privasi, dan keamanan masih perlu diatasi. Kegiatan PKM ini bertujuan untuk melakukan transfer pengetahuan dalam meningkatkan pemahaman dan kesadaran masyarakat tentang berbagai jenis teknologi informasi. Berdasarkan hasil dan pembahasan, kegiatan pengabdian kepada masyarakat di Desa Jati Indah, Kecamatan Tanjung Bintang, Kabupaten Lampung Selatan, berlangsung sukses dan lancar. Pelatihan yang dihadiri oleh 30 peserta dari berbagai kalangan masyarakat dan perangkat desa menunjukkan antusiasme tinggi terhadap topik dampak teknologi informasi. Penyampaian materi yang interaktif dan relevan meningkatkan pemahaman peserta, dibuktikan oleh hasil evaluasi yang positif dimana sebanyak 83,4% peserta memahami materi disampaikan dengan baik dan efektif.
Aplikasi Peta Interaktif 3D Pada Gedung Fakultas Teknik Universitas Lampung Aristoteles Aristoteles; Dinda Fitrialoka; Yohana Tri Utami
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1464

Abstract

The advancement of technology allows for various developments, such as the creation of systems and applications that facilitate human tasks and transactions. However, the existence of applications also requires research to measure user satisfaction, one of which is the DANA application. DANA is a smart application that provides convenience in transactions. With DANA, people can easily make online and offline payments using electronic money. This research aims to determine the level of user satisfaction with the DANA application using the End User Computing Satisfaction (EUCS) method. This method focuses on user satisfaction by analyzing the application based on content, accuracy, format, user-friendliness, and timeliness. The research conducted is descriptive research using a questionnaire as the research instrument. The sampling technique used in this study is random sampling. This research is deemed necessary to determine the level of user satisfaction. Furthermore, the data is processed using SPSS Version 25. The results show that the level of user satisfaction for the five variables is as follows: the Content variable received a high satisfaction score with a percentage value of 78.8%, the Accuracy variable received a high satisfaction score with a percentage value of 78.7%, the Format variable received a high satisfaction score with a percentage value of 79.2%, the Ease of Use variable received a high satisfaction score with a percentage value of 79.2%, and the Timeliness variable received a high satisfaction score with a percentage value of 77.3%.
Pelatihan Optimalisasi Microsoft Word dalam Pengembangan Keterampilan Teknologi Informasi dan Komunikasi (TIK) Bagi Guru Sekolah Dasar Negeri 2 Pampangan Heri Satria; Suripto Dwi Yuwono; Ridho Sholehurrohman; Aristoteles, Aristoteles
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 2 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i2.5041

Abstract

This Microsoft Word optimization training aims to enhance the skills of teachers at Sekolah Dasar Negeri 2 Pampangan in utilizing information technology to support administrative tasks and learning. The activity was conducted offline in two main sessions: material delivery and practical simulations. The training material covered both basic and advanced features, such as mail merge, page layout, and document collaboration. A total of 30 participants attended the training and received direct guidance. Evaluation through questionnaires and observations showed that over 94% of participants understood and were able to apply the material effectively. This training proved to be effective in improving teachers' work efficiency and the quality of documents produced, as well as having a significant impact on increased productivity and professionalism in carrying out administrative tasks. Furthermore, the training strengthened teachers' digital literacy, accelerated technology adoption in learning, and supported their role as drivers of education in the digital era. However, limitations in equipment and basic computer skills remain challenges to be addressed in the future. This training provides an important contribution to strengthening teachers' digital literacy and improving the quality of education in elementary schools.
Development of Facility Rental, Product Shipment Tracking, and Payment in the UnilaHub Application Aristoteles, Aristoteles; Setiadi, Rifan; Falah, Naufal Anbial; Parabi, M. Iqbal; Sakethi, Dwi; Febriansyah, Febi Eka; Ardiansyah, Ardiansyah
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22889

Abstract

UnilaHub, a mobile e-commerce application developed by the University of Lampung, facilitates transactions for products derived from university research. This study aims to enhance UnilaHub by introducing new features like facility rental, product shipment tracking, and integrated payment systems. The research consisted of three main phases: problem identification, application development (prototyping method), and system testing. Utilizing the prototyping method, the researchers iteratively developed these features, incorporating user feedback to ensure functionality and usability. System testing, encompassing User Acceptance Testing (UAT) and Black Box Testing, validated the effectiveness of these enhancements. High user satisfaction indices were recorded: 84.19% for the Web Administrator, 84.66% for the Public Apps, and 82.62% for the Research Apps. The results indicate that the new features significantly meet user needs and improve the overall user experience. The research is expected to improve the efficiency and satisfaction of UnilaHub users through the development of facility rental, product delivery tracking, and in-app payments. Integrating payment gateway and delivery tracking through third-party services has improved transaction efficiencies and user satisfaction, contributing to the digitization and centralization of administrative processes in UnilaHub
Human Sperm Morphology Classification Using YOLOv5 Deep Learning Algorithm Aristoteles, Aristoteles; Sholehurrohman, Ridho; Wirawan, Nasywa Nathania
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.24419

Abstract

Over the past two decades, one of the most common reproductive problems has been infertility. Infertility is a disease of the reproductive system characterized by the inability to conceive after 12 months or more of regular unprotected sexual intercourse. According to the World Health Organization (WHO), the reproductive rate has declined drastically, with male infertility now accounting for 36 percent of cases, often due to abnormalities in sperm production. Currently, infertility screening is still done manually, evaluating sperm samples using a microscope, which often produces inconsistent results. However, advances in computer technology have resulted in significant research aimed at improving the analysis of male sperm infertility. This study utilized deep learning technology to identify sperm using the YOLOv5 method. This study involved several stages with data collection using 1330 photos with 2 classes, namely sperm and non-sperm in video format. The second stage involved preprocessing the dataset, which included data extraction, cropping, resizing, and labeling the data for training. The final stage involved testing the trained model to detect and classify sperm based on morphology. The experimental results show that the proposed method is effective in accurately classifying sperm images and analyzing motion videos from recorded video data with a mAP result of 73.1 percent.Therefore, in the context of this study, the YOLOv5 model is considered efficient in detecting and classifying objects, both sperm and non-sperm.
A hybrid model to mitigate data gaps and fluctuations in tax revenue forecasting Taufik, Rahman; Aristoteles, Aristoteles; Ilman, Igit Sabda
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp4099-4108

Abstract

This study addresses the critical challenge of advancing tax revenue forecasting models to effectively handle distinctive data gaps and inherent fluctuations in tax revenue data. These challenges are evident in Lampung Province, Indonesia, where limited temporal granularity and non-linear variability hinder accurate fiscal planning. Despite advancements in statistical, machine learning, and hybrid approaches, existing models often fall short in simultaneously managing these challenges. A hybrid model integrating random forest regressors for data interpolation and Long Short-Term Memory for capturing complex temporal patterns was proposed. The model was evaluated, achieving an R² of 0.86, root mean squared error (RMSE) of 9.65 billion, and mean absolute percentage error (MAPE) of 3.49%. Although the model has limitations in generalizing to unseen data, the results demonstrate that it outperforms existing forecasting models regarding accuracy and reliability. Integrating random forest regressors and long short-term memory delivers a tailored solution to the complexities of tax revenue forecasting, contributing to fiscal forecasting and setting a foundation for further exploration into hybrid approaches.
Decision Tree Algorithms in Water Quality Classification: A Comparative Study of Random Forest, XGBoost, and C5.0 Shofiana, Dewi Asiah; Caniadi, Melan; Sholehurrohman, Ridho; Aristoteles
Science and Technology Indonesia Vol. 10 No. 4 (2025): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.4.999-1011

Abstract

Safe drinking water is more than a convenience; public health officials often call it a cornerstone of survival. United Nations International Children’s Emergency Fund (UNICEF) reported that, shockingly, roughly two billion people still drink water that is neither clean nor tested. Pathogenic bacteria from human feces and livestock waste taint roughly 70% of available sources, creating a silent epidemic. Scientists express water quality into five levels: poor, marginal, fair, good, and excellent – named as the Water Quality Index (WQI) designed by the Canadian Council of Ministers of the Environment (CCME). This research measured the performance of three decision-tree classifiers, including Random Forest, XGBoost, and C5.0 to predict water quality. The preprocessing pipeline was thorough, involving label encoding, use of synthetic minor over-sampling technique (SMOTE) for balancing imbalanced classes, and an exploratory phase to examine outliers and irregularities within the dataset. According to the findings, Random Forest finished at an impressive test result with 98% of accuracy. XGBoost and C5.0 follows close behind at about 96%, but the latter turned out to be the fastest, edging out both XGBoost and Random Forest, making C5.0 a preferable when a time-sensitive or emergency decision is needed. In short, this research highlights the importance of modern preprocessing tools combined with machine learning algorithms in monitoring water quality.
Co-Authors A. H. Bernando A. Nizam Syahiib Ade Apriantari Aditya Prayoga Admi Syarif Aflaha Asri Agatha Beny Himawan Ahmad Amirudin Ahmad Julio Rizky Ahyarudin Aini Robby Rodliyah Airlangga Sani Cahya Margaliu Aisah Oktavia Alya Samira Rahmaputri Andrian, Rico Angga Ramadhan Prasetyo Anggi Puspitasari Anindya Rahmadini Anisa Raden Annisa Putri Nabila Aqshal Dwi Setiawan Arbi Hidayatullah Ardhika Praseda Ageng Putra ARDIANSYAH ARDIANSYAH Ardye Amando Pratama Ariq Rafii Utama Aristoteles Aryanti Dwiastuti Aulia Putri Ariqa Awfa Rizqon Akhyar Ayuning Rizqi Rahmayanti Bastian Bastian Bastian Bastian Bella Pebyana Cahlia Kurnia Candra Wijaya Caniadi, Melan Dani Cristian Danzen Hangga Permana Dedy Miswar Desrizal Dwi Ayu Deswita Sari Didik Kurniawan Dinda Fitrialoka Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi, Dwi Dyah Mila Prambudiningtyas Efendi, Nur Eka Febriansyah, Febi Eka Kasymir Erika Fadia Salsabila Evania Intiha Falah, Naufal Anbial Febi Eka Febriansyah febi eka febriansyah, febi eka Firman Syah Galih Imam Widangga Gina Septia Rizki Giovanni Albertine Hutauruk Heningtyas, Yunda Heri Satria Heri Satria Heriyanto, Ika Arthalia Wulandari Ilman, Igit Sabda Indah Sari Indah Sari Indra Gumay Febryano Indri Eka Yasami Ira Hariati Br Sitepu Irawati, Anie Rose Jani Master Jihan Aferiansyah Junaidi Junaidi Kurnia Agung Laksono Kurnia Muludi Kurnia Muludi Kusuma, Abie Perdana Lidwina Amelia Lis Nur Ajijah Lisa Suarni Lolyta Mutiara Putri Lukito, Wisnu Lumbanraja, Favorisen R Martinus Martinus Maulida Melvina Putri Maya Fadlilah Melda Suryani Mohamad Ilham Nurfaizi Monique Permata Sari Santoso Mudinillah, Adam Muhamad Zaki Renaldi Muhammad Chaidar Ali Muhammad Fahmi Albaihaqi Muhammad Fakhri Robbani Muhammad Fathan Kurniawan Muhammad Zidan Pasya Mulyono Mulyono Mulyono Mutiara Putri Adisa Nadia Ayu Wulandari Nadila Rizqi Muttaqina Nitami Sari Noval Aditya Marlon Noviyanti Noviyanti Nur Efendi Nurhidayanti Nurhidayanti Parabi, M. Iqbal Pondo Purniawan Pratama, Rinaldo Adi Putri Ayu Penita Radix Suharjo Rahman Taufik Rahmat Safe'i Rakhmat Herlambang Rara Diantari Raras Silviana Rian Kurniawan Ridho Sholehurrohman Rifki Wardana Rigasmi Ihklayani Rika Ningtias Azhari Riska Aprilia Risna Damayanti Rizki Agung Permana Rizky Pratama Sabila Rusyda Salma Dara Cantika Sapto Kuncoro Sasmita Ningrum Selvira Setiadi, Rifan Sholehurrohman, Ridho Sintiya Paramitha Suarni, Lisa Suripto Dwi Yuwono Swarna Darma Syah, Firman Syangap Diningrat Sitompul Syifa Hera Assegaf Tarkono Tarkono Taufik, Rahman Timotius Pascha Tiyara Saghira Tri Rizky Putra Tristiyanto Tristiyanto Unang Mulkhan Vio Deka Ananda Wardiyanto Wardiyanto Wardiyanto Wardiyanto Wartariyus, Wartariyus Widiarti Widiarti Widya Puspitarani Desiyanti Wirawan, Nasywa Nathania Wisnu Lukito Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yoga Gustama Yohana Tri Utami YOHANA TRI UTAMI, YOHANA TRI Zahra, Rizka Aulia Zuhri Nopriyanto