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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Computatio : Journal of Computer Science and Information Systems JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Abdimas Mahakam Jurnal Mnemonic Jurnal Sains Komputer dan Teknologi Informasi Journal of Computer Networks, Architecture and High Performance Computing NUSANTARA: Jurnal Pengabdian Kepada Masyarakat YASIN: Jurnal Pendidikan dan Sosial Budaya Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Publikasi Teknik Informatika (JUPTI) Journal of Empowerment and Community Service Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Pengabdian Masyarakat Nian Tana GEMBIRA (Pengabdian Kepada Masyarakat) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Wawan Joko Pranoto
Universitas Muhammadiyah Kalimantan Timur
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Strategi Penerapan Sistem Computer Based-Test (CBT) Pada Seleksi Mahasiswa Baru Dengan Metode Ward And Peppard Wawan Joko Pranoto; Agus Widodo
Computatio : Journal of Computer Science and Information Systems Vol. 1 No. 2 (2017): Computatio : Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v1i2.1019

Abstract

Sekolah Tinggi Ilmu Kesehatan (STIKES) Muhammadiyah Samarinda saat ini memiliki sisteminformasi sebagai pendukung kerja operasional namun tanpa disertai perencanaan yang matangmengenai arahan visi dan misi perguruan tinggi itu sendiri. Pemanfaatan sistem informasi diSTIKES Muhammadiyah Samarinda khususnya sistem Computer Based-Test(CBT) saat inihanya sebagai alat pendukung pengolahan data dan seleksi mahasiswa baru, belum digunakansebagai sistem informasi yang strategis. Adapun metode analisis yang digunakan dalampenelitian ini adalah metode Ward & Peppard, yang meliputi metode analisis SWOT untukmenganalisis lingkungan internal bisnis, analisis Porter’s five forces untuk menganalisislingkungan eksternal bisnis, analisis gap untuk membandingkan system informasi saat inidengan perencanaan sistem informasi yang akan datang, dan analisis Mc Farlan untukmengklasifikasikan portofolio aplikasi sistem informasi mendatang. Dari setiap solusi strategipenerapan sistem Computer-Based Test (CBT) dipetakan menjadi usulan portofolio aplikasi dimasa mendatang, usulan perubahan teknologi berupa hardware dan software, usulanpenambahan infrastruktur jaringan dan usulan kebutuhan sumber daya manusia.
Analisis Data Service Desk IT Di PT. Buma Site Lati Della Eliyana Saputri; Wawan Joko Pranoto
Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Vol. 1 No. 4 (2023): Desember : Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/kegiatanpositif.v1i4.516

Abstract

Field Work Practice is a mandatory assignment for undergraduate students in Informatics Engineering at the Muhammadiyah University of East Kalimantan, Samarinda, with a weight of 2 credits. The focus of this PKL is IT Requisition (ITR), a form for requests for IT equipment outside the specified list of assets and services. Analysis of ITR and BMC data at PT. BUMA Site LATI concludes that monitoring IT service desk data shows several important points, especially regarding ITR. The results of this analysis are the basis for concluding the efficiency and effectiveness of IT services, with potential recommendations for improvement. This conclusion provides a better view of understanding and improving IT service desk services at PT. BUMA Site LATI.
Model Optimasi SVM-GSBE dalam Menangani High Dimensional Data Stunting Kota Samarinda Siti Muawwanah; Taghfirul Azhima Yoga Siswa; Wawan Joko Pranoto
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.41545

Abstract

Stunting has become a widely discussed health issue in Indonesia, par-ticularly in Samarinda City, which recorded a prevalence of 12.7% in 2023, making it the highest in East Kalimantan Province. The use of data mining techniques becomes crucial in overcoming the challenges of high dimensional data, such as computational complexity, the risk of overfitting, and visualization difficulties. This study aims to enhance the accuracy of Support Vector Machine optimization models using Grid Search and Backward Elimination feature selection (SVM-GSBE) to handle high-dimensional data related to stunting in Samarinda City. The dataset used is sourced from Samarinda City Health Office in 2023, covering 26 community health centers with 21 attributes and a total of 150,466 records. The research methodology includes data collection, pre-processing, data partitioning using K-Fold Cross Validation, feature selection using Backward Elimination, and SVM model optimization with Grid Search. Features such as BB/U, ZS TB/U, ZS BB/U, ZS BB/TB, Height, and LiLA have proven to increase accuracy in stunting data classification. Evaluation results show that Grid Search successfully increased accuracy for Linear from 99.59% to 99.78%, Polynomial from 90.92% to 99.40%, RBF from 89.80% to 98.36%, and Sigmoid from 75.29% to 86.84%. This indicates that the SVM-GSBE model can effectively be used as a tool for early detection of stunting and to support health policies in Samarinda City.
Model Optimasi KNN-PSORF dalam Menangani High Dimensional Data Banjir Kota Samarinda Anggiq Karisma Aji Restu; Taghfirul Azhima Yoga Siswa; Wawan Joko Pranoto
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.41587

Abstract

Floods are a natural phenomenon that frequently occurs in Indonesia, including in Samarinda City which has faced flood issues over the past three years, affecting thousands of homes and around 27,000 residents. Predicting flood disasters requires machine learning technology using data mining classification methods. However, classification processes often encounter issues related to high-dimensional data, which can lead to overfitting and class imbalance, thereby biasing dominant classes while neglecting minority classes. This research aims to enhance classification accuracy in Samarinda City's flood data using the K-Nearest Neighbor (KNN) algorithm combined with Relief feature selection and Particle Swarm Optimization (PSO) optimization. The validation method employed is 10-fold cross-validation, with performance evaluation using a confusion matrix. Data sourced from Samarinda City's Disaster Management Agency (BPBD) and Meteorology, Climatology, and Geophysics Agency (BMKG) spans from 2021 to 2023, comprising 19 features and a total of 1095 records. Relief feature selection identified four crucial features: maximum wind direction, wind speed, average wind speed, and maximum wind speed direction. Average evaluations with k values of 3, 5, 7, 11, 13, and 15 demonstrate that Relief feature selection and PSO optimization effectively enhance accuracy in the K-Nearest Neighbor algorithm for flood data, with KNN and PSO yielding improvements of 2-5%. Relief feature selection alone improves accuracy by 1-2%, while combining Relief with PSO provides a 2-5% enhancement. The combined KNN, Relief, PSO model is expected to deliver optimal performance in classifying Samarinda City's flood data.
Model Optimasi Random Forest dengan PSO-CHI-SM dalam Mengatasi High Dimensional dan Imbalanced Data Banjir Kota Samarinda Ilham Taufiq; Taghfirul Azhima Yoga Siswa; Wawan Joko Pranoto
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.41632

Abstract

Flooding is a natural disaster that frequently affects our country. Samarinda City, in particular, continues to experience frequent flooding events with 18 incidents in 2018, 33 incidents in 2020, and 32 incidents in 2021. To predict flood disasters, it is necessary to utilize technology known as machine learning for analyzing and classifying floods. However, classification often encounters issues with high-dimensional data and class imbalance. This study aims to determine the extent to which the accuracy of flood disaster classification improves by using the Random Forest algorithm with PSO for optimization, Chi-Square feature selection, and SMOTE oversampling to balance classes. The data used in this study comprises flood data from 2021-2023 obtained from BMKG and BPBD Samarinda City, with a total of 1095 records and 11 attributes. The validation technique used is 5-fold cross-validation, and the evaluation uses a confusion matrix. The results of the Chi-Square feature selection identified Rainfall, Maximum Wind Direction, Most Frequent Wind Direction, Humidity, Sunshine Duration, and Wind Speed as the most influential features based on Chi-Square scores and P-values. The average accuracy obtained from the proposed classification model using 5-fold cross-validation reached 96.02%.
Penambahan Menu Web Survei di Website Badan Perencanaan Pembangunan Daerah dan Penelitian Pengembangan Kota Samarinda Arif Nur Rahman; Ibnu Sabdaniansyah; Muhammad Rifqi Pratama; Wawan Joko Pranoto
SAFARI :Jurnal Pengabdian Masyarakat Indonesia Vol. 4 No. 1 (2024): Januari : Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/safari.v4i1.1144

Abstract

The Regional Development Planning Agency and Research and Development of Samarinda City are striving to enhance the quality of services and community participation in the planning and development processes. One proactive measure taken is the integration of a web survey menu into the institution's official website with the title "Preparation of the Initial Draft of Samarinda City's RPJPD for the Years 2025-2045." This research aims to add a web survey menu to support efficiency, effectiveness, and interactivity in community data collection. The method utilized for creating this website is the data collection method. The results obtained from this community service initiative include the successful development of a website implemented at the Regional Development Planning Agency and Research and Development of Samarinda City, eliminating the need for manual data input.
Clustering Penggunaan Fuel Pada PT Trasindo Murni Perkasa Menggunakan Algoritma K-Means Dini Anitasari; Wawan Joko Pranoto
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 1 (2024): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i1.3211

Abstract

In coal mining, vehicles are used that have a large physical shape so that they can carry quite a lot of material so that it doesn't take a long time to mine. A lot of fuel is used during mining. Mining units have an identification mark in the form of a unit number as the vehicle's identity. attached to the vehicle and this unit number will later be recorded in fuel usage. Due to the large amount of fuel consumed by each unit, a lot of data is collected and needs to be processed. In this study, researchers used the clustering method with the k-means algorithm. -means Clustering begins by determining the number of clusters. This research uses two clusters. The results obtained from this grouping are, units in the day shift have a higher consumption amount, namely 217 liters per unit, while units in the shift have a total consumption of 147 liters. per unit with an ARI value of 0.5399218293207123 and an NMI value of 0.6565191143081124.
Klasifikasi Waktu Pada Dokumen Persetujuan Accounting Voucher Dinda Nur Octaviany; Wawan Joko Pranoto
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 1 (2024): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i1.3215

Abstract

This research aims to optimize the approval document management process by implementing time classification techniques using Naive Bayes. Naive Bayes classification is a data classification technique that utilizes probability theory and statistics to predict future probabilities based on Accounting Voucher approval document data from January to April 2023. This study focuses on the application of the Naive Bayes algorithm for time classification, aiming to provide innovative solutions for PT. Kideco Jaya Agung in the mining industry. Attributes used in the Naive Bayes classification method include document type, document number, document status, and time difference. The research results indicate that the probabilities of the 'On Time' and 'Late' classes are approximately 0.9737 and 0.0263, respectively, with an accuracy rate of 97.67441860465115% or 98%.
Rancang Bangun Aplikasi Berbasis Website Administrasi Surat Perintah Perjalanan Dinas Driver: Studi Kasus: PT PLN (Persero) UP3 Samarinda Wahyudi Yulyanto; Syandy Apriyan Nur; Wawan Joko Pranoto
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 3 No. 1 (2024): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v3i1.3222

Abstract

Official travel managers must reopen documents that have been archived if they need to get an official travel report within one month because this results in the system being less effective and efficient both in terms of material and time. If official travel data is lost or damaged due to poor storage processes and making official travel reports which takes quite a long time, the document must be reopened.  
Perancangan Website Departement Profile Plant Hauling District Indo PT. Pamapersada Nusantara Kalimantan Timur Fitri Damayanti; Wawan Joko Pranoto
NUSANTARA Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Februari : Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v4i1.2357

Abstract

One media for conveying information about a departement, company or agency is a website profile. To provide information, the indo plant hauling district departement only uses the WhatsApp application to share the latest news, announcements, or updates related to the departement, such as awards, new projects, or changes in the organization. To overcome the problem of information that can only be known by people in the departement, we provide recommendations for designing the Indo Plant Hauling District Departement website PT. Pamapersada Nusantara East Kalimantan. The prototype method that will be used to develop this website and get results from this service, namely a user interface design and website prototype for the Indo plant hauling district departement profile.
Co-Authors A Halim Abdul Hallim Abdul Rahim Agus Widodo Alam, Aksal Illal Al Anggiq Karisma Aji Restu Any Sawheri Gading Arbansyah Arbansyah Arif Nur Rahman Augie Sugiarto Nunka Aulia Khofifah Syamsuri Bayu Gaung Oktio Putra Della Eliyana Saputri Dinda Nur Octaviany Dini Anitasari Evitasari, Yuliana Dilla Faldi Faldi Faldi, Faldi Fitri Damayanti Gilang Adhmadani Gina Maulidina Gunawan Ariyanto Hallim, Abdul Hasudungan, Rofilde Highness Mailani Putri Highness Mailani Putri Husni Thamrin Ibnu Sabdaniansyah Ilham Taufiq Ilham, Muhammad Fauzan Nur Indra Pradista Indra Pradista Lidya Sari M. Gilang Romadhon M. Gillang Ramadhani Maulidin, Achmad Mawaddah, Suci Melisa Nur Aini Mohammad Hiqmal Fiqri Mubaraq, Ahmad Ridhani Muhammad Fath Thoriq Muhammad Nur Irvan Muhammad Rifqi Pratama Muthmainnah Naufal Azmi Verdikha Novia Hidayati Ramadhani Nurdin, Andi Rahmad Fardian Ramadhani, Daib Jidan Reyka Luna Karalo Reza, Andi Ridha Anisa Soldzu Parnga Ridha Anisa Soldzu Parnga Rita Yulfani Rivaldo, Vito Junivan Rofilde Hasudungan Sari, Septa Intan Permata Satria, Bima Siti Muawwanah Sofie Azizah, Jahra Syandy Apriyan Nur Tagfirul Azima Yoga Siswa, Muspidar Mulyadi Tri Duwi Pramudito Wahyu Laksana Wahyudi Yulyanto Wisnu Priyo Jatmiko Yuliana, Irma