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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya KOMPUTIKA - Jurnal Sistem Komputer Jurnal Manajemen Informatika Contemporary Mathematics and Applications (ConMathA) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Journal Social Science And Technology For Community Service Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Journal of Educational Management and Instruction (JEMIn) International Journal of Electronics and Communications Systems Journal of Elektronik Sistem InformasI Integra: Journal of Integrated Mathematics and Computer Science
Sholehurrohman, Ridho
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences

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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.
Model Petri Net Pengajuan KKN Mahasiswa Universitas Lampung Hamzah, Nur; Sholehurrohman, Ridho; Sutawa, Wira Adiguna; Hana, Lathifatul
Contemporary Mathematics and Applications (ConMathA) Vol. 6 No. 1 (2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v6i1.54518

Abstract

The Petri Net (PN) model is a powerful mathematical representation for describing dynamic systems involving processes, states, and interactions between its elements. The use of the Petri Net Model has been applied in various contexts, in this research the Petri Net is used to represent the KKN (Real Work Lecture) application flow for students at the University of Lampung. This modeling provides a clear visual representation of the steps required, the stages that must be passed, and the relationships between elements in the KKN application process. This Petri Net Model analysis helps in identifying potential points that can cause delays or errors in the KKN application process. With a better understanding of inter-entity interactions and process flows, improvements and optimization of KKN application procedures can be implemented. The research results show that the use of the Petri Net Model in the context of KKN applications for Lampung University students has great potential to increase efficiency, reduce errors, and speed up the application process.
Pendampingan Kelompok Sadar Wisata (Pokdarwis) Dalam Pemanfaatan Teknologi Informasi Untuk Pengembangan Ekowisata Mangrove Di Cuku Nyinyi Desa Sidodadi Yanfika, Helvi; Sholehurrohman, Ridho; Ilman, Igit Sabda
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 6, No 1 (2025): Volume 6, Nomor 1, March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i1.4835

Abstract

Pemanfaatan teknologi informasi memiliki potensi yang luar biasa dalam pengembangan ekowisata mangrove di Cuku Nyinyi, Desa Sidodadi, Kabupaten Pesawaran. Desa Wisata Desa sidodadi desa yang terletak di wilayah provinsi lampung kecamatan teluk pandan kabupaten pesawaran, dengan luas wilayah desa sidodadi 563.25 Ha. Potensi Desa Sidodadi di sektor pariwisata memiliki tempat wisata yaitu salah satunya dengan sumber daya alam Hutan mangrove yang di kelola oleh BUMDes dan POKDARWIS dan masyrakat. Pengabdian bertujuan meningkatkan pengetahuan dan keterampilan anggota Pokdarwis di Cuku Nyinyi, Desa Sidodadi Kabupaten Pesawaran dalam pemanfaatan teknologi informasi untuk mengembangkan ekowisata mangrove. Dalam Pengabdian akan dilakukan pendampingan dalam pengembangan ekowisata mangrove menggunakan pemanfaatan teknologi informasi. Target pemberdayaan yang akan dilakukan adalah meningkatkan kapasitas SDM anggota Pokdarwis di Cuku Nyinyi, Desa Sidodadi Kabupaten Pesawaran dalam, meningkatkan pengetahuan dan keterampilan anggota Pokdarwis di Cuku Nyinyi, Desa Sidodadi Kabupaten Pesawaran dalam pemanfaatan teknologi informasi untuk mengembangkan ekowisata mangrove.Kata Kunci: ekowisata; mangrove; teknologi; informasi;
PELABELAN LATIN F(n) MENGGUNAKAN METODE DILWORTH Sholehurrohman, Ridho; Alisah, Evawati; -, Juhari
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 9 No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v9i2.9446

Abstract

Latis L adalah suatu aljabar yang dikenai dua operasi biner (dilambangkan dengan dan +), yang memenuhi beberapa aksioma, yaitu  kedua operasi bersifat idempoten, kedua operasi bersifat asosiatif dan komutatif, serta berlaku absorpsi terhadap relasi yang dinotasikan kedua operasi. Misal (F(n),≤,+,×) adalah latis faktor bilangan bulat positif non prima. Diagram latis (F(n),≤,+,×) dapat dipandang sebagai graf karena memenuhi definisi dari graf. Sehingga himpunan titik pada (F(n),≤) adalah semua anggota himpunan bagian dari F(n) sedemikian sehingga setiap titik yang berbeda a,b ∈F(n), a≤b⟺a adalah faktor dari b. Didefinikan penjumlahan a+b= kpk(a,b) dan perkalian ab= fpb(a,b) untuk setiap a,b∈F(n) adalah elemen-elemen terurut yang terhubung langsung, maka latis F(n) yang dibentuk adalah  F(n)={x∈Z+:kpk(x,n)=n}. Tujuan dari penelitian ini adalah untuk mengetahui pelabelan latis menggunakan metode dilworth. Graf latis terdiri dari titik dan garis, dimana titik merupakan anggota dari latis F(n) dan garis adalah pengaitnya(sisinya). Titik dan garis dapat dipandang sebagai graf dengan tunduk terhadap definisi latis. Latis Fn adalah latis modular, karena latis (Fn, +,×) adalah latis modular, maka untuk setiap k bilang bulat tidak negatif berlaku covkF(n)=covkF(n). Pelabelan graf latis F(n) dengan menggunakan teorema dilworth adalah suatu pelabelan ξ:F(n)→ Z+∪{0} di mana didefinisikan olehξ(x)=k=0ncovkR3(x)∙kdimana A(x) adalah fungsi karakteristik yang memetakan x ke himpunan 0,1.
Color-Based Spot Detection Using Automatic Leaf Segmentation in Potato Plants Sholehurrohman, Ridho; Sari, Kartika; Junaidi, Akmal
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252339

Abstract

Potato (Solanum tuberosum L.) is one of the world’s major food crops, playing a vital role in supporting food security and nutritional resilience. However, its productivity is often threatened by foliar diseases such as early blight and late blight, which can cause significant yield losses. This study aims to develop a lightweight and explainable classification method for detecting potato leaf diseases based on automatic leaf segmentation and color-based spot analysis. Early and accurate disease detection is essential to support preventive actions in plant protection. The proposed method integrates automatic leaf segmentation using HSV-based thresholding to isolate the leaf region from the background, followed by color-based spot detection to identify disease symptoms. Extracted features include spot area, number of detected spots, and average hue values, which were then classified into three categories (healthy, early blight, and late blight) using a rule-based approach. Validation was conducted by manually comparing classification outputs with ground truth derived from file names. The results show that the method can successfully segment potato leaves, detect spot regions, and classify disease types consistently with manual validation. Although not evaluated through large-scale statistical metrics, the findings indicate that this color-based approach provides a reliable foundation for lightweight potato leaf disease detection without requiring deep learning models.
DESIMINASI PEMANFAATAN DAUN SEREH WANGI UNTUK SABUN CAIR RAMAH LINGKUNGAN PADA SISWA SD Satria, Heri; Mulyono; Dwi Yuwono, Suripto; Sholehurrohman, Ridho; D. Pandiangan, Kamisah; Hidayat, Diky
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 6 No. 1 (2026): Maret 2026
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/buguh.v6n1.2806

Abstract

Education based on environmental awareness plays an essential role in shaping a generation that cares about the environment and sustainability. One effective approach to raising this awareness is by integrating simple science that focuses on the use of natural materials in everyday life. Lemongrass (Cymbopogon citratus), which is rich in bioactive compounds like citronella and geraniol, offers various benefits, including antibacterial and anti-inflammatory properties. This program aims to educate students, teachers, and parents on how to process lemongrass into eco-friendly liquid soap, as well as teach practical skills that can be applied in daily life. Through this training, students will not only understand the benefits of natural materials but also acquire skills that can be used to create economic opportunities based on environmentally friendly products. This program also encourages a healthy and sustainable lifestyle by reducing dependence on harmful chemical-based commercial cleaning products. Furthermore, the program aims to introduce the concept of entrepreneurship based on natural products, which can create new economic opportunities at the local level. The implementation of this community service program will involve students, teachers, and parents at SD Negeri 2 Pampangan, Sekincau District, West Lampung. Through hands-on training, it is expected to have a significant positive impact on improving the competence of students, teachers, and parents in effectively utilizing natural resources. Additionally, this program has the potential to serve as a model that can be implemented in other schools across Indonesia, expanding its positive impact and raising environmental awareness among the younger generation.
Pemanfaatan Automation Tool n8n Untuk Mendukung Kegiatan Akademik Sekolah Menengah Kejuruan Negeri 5 Bandar Lampung Syarif, Admi; Andrian, Rico; Sholehurrohman, Ridho; Afdhaluddin, Muhammad; Pambudi, Agung; Rifandi, Raihan; Adhim, M. Abdul
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 7 No. 1 (2026): Maret
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v7i1.260

Abstract

Pengelolaan data akademik di SMK Negeri 5 Bandar Lampung masih dilakukan secara manual atau semi-digital sehingga kurang efisien dan rentan terhadap kesalahan. Kegiatan ini bertujuan meningkatkan efektivitas dan efisiensi melalui otomasi berbasis n8n. Pelatihan dilaksanakan pada 12 November 2025 dengan melibatkan 20 guru dan tenaga kependidikan, mencakup konsep otomasi, integrasi data, serta praktik notifikasi nilai dan kehadiran melalui Telegram. Hasil evaluasi menunjukkan peningkatan pemahaman dan keterampilan, dengan 88% peserta mampu merancang workflow otomatis. Penerapan n8n terbukti meningkatkan efisiensi administrasi, mengurangi kesalahan, dan mempercepat penyampaian informasi.
YOLOv5s for Traffic Prohibition Sign Detection in Bandar Lampung: An Empirical Evaluation Under Real-World Urban Conditions Sholehurrohman, Ridho; Junaidi, Akmal; Dewi, Tasya Nursita; Andrian, Rico; Ilman, Igit Sabda; Reza Habibi, Mohammad
International Journal of Electronics and Communications Systems Vol. 6 No. 1 (2026): 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.v6i1.28786

Abstract

The detection of traffic prohibition signs in tropical urban environments is under-documented, as existing benchmark datasets such as GTSRB and TT100K do not represent the specific conditions of Southeast Asia. This study evaluates YOLOv5s for detecting and classifying six classes of traffic prohibition signs on four urban roads in Bandar Lampung, Indonesia, using a dataset of 9,898 labeled images extracted from real-world video recordings under various environmental conditions. YOLOv5s was directly compared with YOLOv4, YOLOv5m, and Faster R-CNN under identical evaluation conditions. YOLOv5s outperformed all comparison models with an average accuracy of 93.34% and an average F1-Score of 95.97%, with performance ranging from 88.65% in Pagar Alam to 97.28% at Unila, reflecting the documented gradation of environmental complexity. Processing speeds of 7.3–8.8 FPS place the system in the near-real-time category, making it suitable for offline traffic monitoring applications. This study provides a method for detecting prohibition signs in tropical urban environments in Indonesia and offers a practical reference point for the development of intelligent transportation systems in developing cities facing similar environmental challenges.
Co-Authors Adhim, M. Abdul Admi Syarif Afdhaluddin, Muhammad Agung Pambudi Akmal Junaidi Anastasia, Aurora Andrian, Rico Aristoteles Aristoteles, Aristoteles Aurelia Queentana Ogawa, Anggun Bayumi, Firman Ahmad Bertiliya, Winda Annisha Buay Pernong, M Akbar Caniadi, Melan D. Pandiangan, Kamisah Dewi, Tasya Nursita Dwi Sakethi, Dwi Dwi Yuwono, Suripto Evawati Alisah Fathan Nursalam, Muhammad Febrianti, Riska Habibi, Mochammad Reza Hana, Lathifatul Helvi Yanfika Heri Satria Hidayat, Diky Ilman, Igit Sabda Intana, Rahmalia Juhari - Junaidi Junaidi Kartika Sari Muhammad Ardhi Pradana, Awangga Muhaqiqin, Muhaqiqin Mulyono Mulyono Mulyono Nur Hamzah Ossy Dwi Endah Wulansari, Ossy Dwi Endah Parabi, M. Iqbal Prabowo, Rizky Puteri Meilinda, , Risthafa Qurrota A’yuni, Salsabila Rafki Makarim, Ahmad Raihananda, Muhammad Bintang Reza Habibi, Mohammad Rifandi, Raihan Risnawati Ryzal Perdana Sabda Ilman, Igit Saputra Pajar, Diyas Sulistiawati Sutawa, Wira Adiguna Taufik, Rahman Taufiq, Rahman Valentine, Ivani Vedisya Natasia Verina, Vira Vinty Echi Gledisa Lase Wirawan, Nasywa Nathania Zhafira Azzahra, Putri