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All Journal VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan Jurnal Abdi Insani Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Abdimas Bina Bangsa Kohesi: Jurnal Sains dan Teknologi SmartComp Jurnal Informatika Polinema (JIP)
Octariadi, Barry Ceasar
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Implementasi Impementasi Data Mining Dalam Pengelolaan Stok Obat Menggunakan Metode K-Means Clustering dan Asossociation Rules Apriori: Analisis Pola Pembelian dan Hubungan Antar Obat dalam Pengelolaan Stok menggunakan K-Means Clustering dan Association Rules Apriori Alinafiah, Andika Muhammad; Octariadi, Barry Ceasar; Sucipto, Sucipto
Jurnal Informatika Polinema Vol. 10 No. 4 (2024): Vol. 10 No. 4 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i4.5523

Abstract

Pengelolaan stok obat menjadi salah satu aspek penting dalam penjualan yang memerlukan strategi efektif untuk memastikan ketersediaan obat yang memadai. Permasalahan penelitian ini adalah pengelolaan yang kurang efektif sehingga akan beresiko mengalami kelebihan dan kekurangan stok. Maka perlu adanya sistem yang dapat mengalami kelebihan dan kekurangan stok. Maka perlu adanya sistem yang dapat menghasilkan pola obat dimana akan menampilkan data obat apa saja yang sering dibeli, biasa dibeli, dan jarang dibeli menggunakan K-Means Clustering. Serta hubungan antar obat yang dibeli secara bersamaan menggunakan Association Rules Apriori. Dengan menggunakan K-Means Clustering, penelitian ini menghasilkan 3 cluster yaitu cluster 1 memiliki 231 data kelompok jarang dibeli, cluster 0 memiliki 56 data kelompok sering dibeli, dan cluster 2 memiliki 41 data kelompok biasa dibeli dan Association Rules Apriori menghasilkan obat yang sering dibeli secara bersamaan yaitu jika membeli obat METOCLOPRAMID 10 MG maka akan membeli METRONIDAZOLE 500 MG dengan support 17% dan confidence 62%.
IMPLEMENTASI PROMETHEE DALAM MENENTUKAN PRIORITAS PERBAIKAN SARANA DAN PRASARANA SEKOLAH DASAR DI KOTA PONTIANAK Azwar, Agim Aljanata; Siregar, Alda Cendekia; Octariadi, Barry Ceasar
VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan Vol 16, No 1 (2025): APRIL
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/ve.v16i1.4486

Abstract

ABSTRAKPenyediaan sarana dan prasarana yang memadai di sekolah dasar merupakan kunci peningkatan kualitas pendidikan di Kota Pontianak. Banyak sekolah mengalami kendala fasilitas yang kurang layak, sedangkan Dinas Pendidikan masih mengandalkan prosedur manual dalam menentukan prioritas perbaikan. Penelitian ini bertujuan mengoptimalkan proses penentuan prioritas perbaikan dengan menerapkan metode Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). Metodologi yang digunakan meliputi identifikasi masalah melalui wawancara, pengumpulan data kerusakan infrastruktur sekolah, serta analisis multi-kriteria menggunakan promethee berdasarkan kondisi bangunan seperti kolom, balok, atap, plafon, lantai, kusen, pintu, jendela, instalasi listrik, dan instalasi air bersih. Setiap alternatif sekolah dibandingkan berdasarkan kriteria tersebut untuk menghasilkan peringkat prioritas perbaikan. Hasil penelitian menunjukkan Sekolah A memperoleh nilai tertinggi (0,155844) sehingga perlu diprioritaskan, diikuti oleh Sekolah E (0,038961), sedangkan Sekolah B dan C bernilai 0. Dengan demikian, metode promethee terbukti efektif dalam menentukan prioritas perbaikan, mendukung alokasi sumber daya yang efisien, serta mendorong peningkatan fasilitas pendidikan secara berkelanjutan.Kata Kunci: Sarana Prasarana Sekolah ,Promethee, Sistem Pendukung KeputusanABSTRACTProviding adequate facilities and infrastructure in elementary schools is essential for improving the quality of education in Pontianak City. Many schools face issues related to inadequate facilities, while the Education Office still relies on manual procedures to determine repair priorities. This study aims to optimize the process of determining repair priorities by applying the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). The methodology includes problem identification through interviews, data collection on infrastructure damage, and multi-criteria analysis using promethee based on physical building conditions, such as columns, beams, roofs, ceilings, floors, frames, doors, windows, electrical installations, and clean water installations. Each alternative school is compared based on these criteria to produce a priority ranking for repairs. The results show that School A obtained the highest score (0.155844), indicating the highest priority, followed by School E (0.038961), while Schools B and C received a score of 0. These findings demonstrate that the PROMETHEE method is effective in determining repair priorities, supporting efficient resource allocation, and promoting the sustainable improvement of educational infrastructure.Keywords: School Infrastructure Facilities, Promethee, Decision Support System
PELATIHAN PEMBUATAN VIDEO / FILM PENDEK UNTUK SEKOLAH MENENGAH ATAS MUHAMMADIYAH DI PONTIANAK Octariadi, Barry Ceasar; Sucipto, Sucipto; Putri, Alya Amanda
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1648

Abstract

Film is a tool to convey various messages to the general public through the medium of stories, and can also be interpreted as a medium of artistic expression for artists and filmmakers to express their story ideas. The making of this short film began before production by having an idea of ​​what to show from the story side and to support the appearance of the film to be more interesting and attract the attention of the audience. In addition, the storyline is played backwards, telling the background of the incident. Held in Pontianak, October 3, 2024, it was divided into 2 (two) Socialization and Workshop sessions and was attended by 40 high school and vocational high school students from Muhammadiyah Pontianak. A short film competition was held with the theme "why should I go to college"
Penerapan Algoritma (Naïve Bayes) Untuk Memprediksi Penyakit Diare Repan; Octariadi, Barry Ceasar; Sucipto
JURNAL FASILKOM Vol. 15 No. 1 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i1.8993

Abstract

Diare merupakan salah satu masalah kesehatan serius yang dapat menyebabkan komplikasi berat hingga kematian, terutama pada anak-anak di bawah usia lima tahun di negara-negara dengan tingkat mortalitas rendah hingga menengah. Di Puskesmas Bunut Hilir, deteksi dini terhadap penyakit diare menjadi sangat penting untuk mencegah risiko komplikasi lanjutan. Penelitian ini bertujuan untuk mengembangkan model prediksi penyakit diare dengan menggunakan metode Naïve Bayes guna meningkatkan efektivitas deteksi dini. Data yang digunakan berasal dari rekam medis pasien Puskesmas Bunut Hilir, dengan total sebanyak 490 data kasus yang mencakup gejala klinis dan faktor risiko lingkungan. Model dibangun menggunakan bahasa pemrograman Python dan diimplementasikan dalam bentuk antarmuka interaktif menggunakan Streamlit. Evaluasi model dilakukan menggunakan confusion matrix, dengan hasil akurasi sebesar 89%, precision 0.87, recall 0.90, dan nilai F1-score sebesar 0.88. Hasil tersebut menunjukkan bahwa metode Naïve Bayes efektif dalam memprediksi penyakit diare. Implementasi model ini berpotensi meningkatkan kualitas layanan kesehatan dan mempercepat respons medis, khususnya dalam mendeteksi kasus diare secara lebih cepat dan akurat di wilayah kerja Puskesmas Bunut Hilir.
Klasifikasi Kebakaran Hutan dan Lahan Menggunakan Algoritma Naïve Bayes Classifier Deni, Deni Deni; Octariadi, Barry Ceasar; Utami, Putri Yuli
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 4 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i4.8374

Abstract

Abstrak: Salah satu bencana alam yang sering terjadi di Indonesia adalah kebakaran. Pada tahun 2019, terdapat 1.124 titik panas di Kalimantan Barat. Kebakaran hutan menyebabkan banyak kerugian, termasuk deforestasi hutan dan hasilnya, pencemaran kabut asap dan emisi dan turunnya  kualitas udara, penelitian ini menerapkan algoritma Naive Bayes Classifier untuk menentukan tingkat status rawan kebakaran hutan dan lahan di Kabupaten Kubu Raya. Hasil akurasi klasifikasi status kebakaran hutan dan lahan dengan algoritma Naïve Bayes 92% pada data latih dan 96% pada data uji. Dapat ditarik kesimpulan bahwa Gaussian Naïve Bayes dapat mengklasifikasi status low, medium, high pada kebakaran hutan dan lahan dengan baik.Abstract: One of the most recent natural disasters in Indonesia is wildfires. In 2019, there were 1,124 hotspots in West Kalimantan. Forest fires cause extensive damage, including reducing forest area and yields, air pollution from haze and emissions, decreasing agricultural potential, and overall forest depletion. The aim of this research is to apply the Naive Bayes Classifier algorithm to determine the level of forest and land fire vulnerability status in Kubu Raya District and assess the accuracy of the Naïve Bayes Classifier method in classifying forest and land fire status. The method employed in this study is Gaussian Naïve Bayes. The classification accuracy of forest and land fire status using Naive Bayes algorithm is 92% on training data and 96% on test data. It can be concluded that Gaussian Naïve Bayes effectively classifies forest and land fire status
PROGRAM DIGITAL MARKETING SEBAGAI MEDIA PROMOSI UMK SWASTIKA KARYA ABADI Yanti, Dewi; Octariadi, Barry Ceasar
Jurnal Abdi Insani Vol 11 No 1 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i1.1440

Abstract

The Swastika Karya Abadi Micro Business Unit (UMK), focusing on basic food trade in West Kalimantan, has been running for 5 years with conventional marketing. However, the product marketing method used by partners is still relatively passive because they only wait for buyers to come to the sales location. This article details community service activities carried out to improve understanding and skills in marketing products through digital media. The service activities carried out target the UMK Swastika's basic understanding of product marketing and introducing promotional strategies through digital media, as well as increasing partners' insight in carrying out graphic designs for products. The training was carried out by providing the team, preparing the place and tools, socializing the material and evaluating using pre-test and post-test questionnaires. The material provided in the training is online marketing strategies using Facebook social media and the use of the Adobe Photoshop graphics application. Service activities proceed with successful planning and preparation stages with team members who understand their duties. The training carried out is also effective in increasing partners' understanding of digital marketing strategies. This can be seen from the results of the pre-test and post-test surveys carried out which show that partners are starting to be confident in designing graphic designs for their own products. Apart from that, socialization of online marketing strategies is also going well because partners have also succeeded in using paid advertising on Facebook to market their products. In other words, this service activity succeeded in increasing the understanding and digital marketing skills of UMK Swastika to support their business growth.
PENETRATION TESTING SISTEM INFORMASI MANAJEMEN AKADEMIK TEKNIK INFORMATIKA MENGGUNAKAN OWASP ZAP Febrilian, Uray; Sucipto, Sucipto; Octariadi, Barry Ceasar
Kohesi: Jurnal Sains dan Teknologi Vol. 7 No. 10 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sistem Informasi Manajemen Akademik Teknik Informatika (IFApps) merupakan aplikasi berbasis web yang digunakan di Universitas Muhammadiyah Pontianak untuk mendukung proses akademik, termasuk pengelolaan tugas akhir dan kerja praktek. Seiring meningkatnya ancaman siber, diperlukan pengujian keamanan untuk memastikan aplikasi bebas dari kerentanan. Penelitian ini berfokus pada pengujian keamanan IFApps menggunakan metode Penetration Testing dengan bantuan OWASP ZAP. Pengujian dilakukan melalui beberapa tahapan, seperti pemindaian pasif, pemindaian aktif, serta pengujian kontrol akses yang bertujuan mendeteksi celah keamanan. Hasil penelitian menunjukkan kerentanan pada SQL Injection dan ketiadaan konfigurasi Content Security Policy (CSP), yang berdampak pada aspek Confidentiality, Integrity, dan Availability aplikasi. Sebagai langkah mitigasi, penelitian ini merekomendasikan penggunaan prepared statements, validasi input, serta pengaturan CSP yang lebih ketat. Melalui penelitian ini, diharapkan keamanan IFApps dapat ditingkatkan sehingga data dan fungsionalitasnya terlindungi dari ancaman siber Kata kunci: Broken Access Control, OWASP ZAP, SQL Injection, Content Security Policy, Penetration Testing. Abstract Informatics Engineering Academic Management Information System (IFApps) is a web-based application used at Universitas Muhammadiyah Pontianak to support academic processes, including the management of final assignments and practical work. As cyber threats increase, security testing is needed to ensure the application is free from vulnerabilities. This research focuses on security testing of IFApps using Penetration Testing method with the help of OWASP ZAP. Testing is done through several stages, such as passive scanning, active scanning, and Access Control testing aimed at detecting security holes. The results showed vulnerabilities in SQL Injection and the absence of Content Security Policy (CSP) configuration, which had an impact on the Confidentiality, Integrity, and Availability aspects of the application. As a mitigation measure, this research recommends the use of prepared statements, input validation, and stricter CSP settings. Through this research, it is hoped that the security of IFApps can be improved so that its data and functionality are protected from cyber threats. Keywords: Broken Access Control, OWASP ZAP, SQL Injection, Content Security Policy, Penetration Testing.
Implementasi Ant Colony Optimization Untuk Rute Terpendek Pada Pengiriman Barang J&T Cahyo, Rahandya; Siregar, Alda Cendekia; Octariadi, Barry Ceasar
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10467

Abstract

Parcel delivery is a logistics service that requires speed and efficiency, especially in determining delivery routes. The choice of this topic is based on the problem faced by J&T delivery in Kubu Raya, particularly Desa Kapur, where long travel distances often result in inefficiency. This study applies the Ant Colony Optimization (ACO) algorithm to identify the shortest route for parcel delivery. ACO mimics the behavior of ants in finding optimal paths based on pheromone intensity. Location data were obtained using coordinates from the Google Maps API and modeled into a weighted graph, where nodes represent delivery points and edges represent distances. The optimization process was carried out by simulating the movement of ant agents to evaluate alternative routes, followed by pheromone updates on the more efficient paths. The results indicate that ACO successfully generated more efficient delivery routes compared to conventional methods, achieving a distance reduction of 28.29%, equivalent to approximately 10.68 km saved. This efficiency contributes to reduced travel time and operational costs. The optimized routes were also visualized through an interactive map using Leaflet.js to facilitate analysis and interpretation. Therefore, ACO is proven to be effective in optimizing delivery routes and has strong potential for real-world application in courier services.
Analisis Penerapan Algoritma Random Forest Dalam Klasifikasi Prakiraan Cuaca Saputra, Deny Saputra; Pangestika, Menur Wahyu; Octariadi, Barry Ceasar
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10846

Abstract

Weather plays an important role in various aspects of life, such as agriculture and transportation. However, weather prediction remains challenging because it is influenced by many complex factors. Extreme weather events, such as storms and floods, can cause significant losses, making accurate weather forecast classification systems essential. This study applies the Random Forest algorithm to improve prediction accuracy and optimizes it using Grid Search Cross Validation. The method used is CRISP-DM, consisting of six main stages. The data were obtained from the Meteorological, Climatological, and Geophysical Agency (BMKG), containing features such as temperature, humidity, wind speed, cloud cover, visibility, and wind direction, with the labels Weather Condition and Region Name serving as indicators of the classified weather category and location. The final evaluation uses a confusion matrix, yielding an accuracy of 98.84% on the training data and 95.33% on the testing data, demonstrating stable performance and strong generalization capability.
Co-Authors Alinafiah, Andika Muhammad azwar, agim aljanata Cahyo, Rahandya Chatarina Umbul Wahyuni Deni, Deni Deni Febrilian, Uray Menur Wahyu Pangestika, Menur Wahyu Muhammad Agus Muljanto Putri, Alya Amanda Repan Saputra, Deny Saputra Siregar, Alda Cendekia Sucipto Sucipto Sucipto Utami, Putri Yuli Yanti, Dewi