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All Journal JSI: Jurnal Sistem Informasi (E-Journal) DINAMIKA DOTCOM Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer SMATIKA Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Teknoinfo KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Tekno Kompak JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Pengabdian kepada Masyarakat Nusantara Teknika J-Intech (Journal of Information and Technology) KOPEMAS Elang: Journal Of Interdisciplinary Research Journal of Information Technology Smatika Jurnal : STIKI Informatika Jurnal Elang: Journal Of Interdisciplinary Research
Febry Eka Purwiantono
Universitas Bhinneka Nusantara
Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Penerapan Metode Single Exponential Smoothing Pada Peramalan Penjualan Di UD. Kaya Rasa Berbasis Web Hafedo Rakhmad Prasetyo; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.832

Abstract

This research was conducted to help forecast the sales of cakes and foods at UD. Kaya Rasa, which fluctuates and experiences varying sales volumes in each sales period. Based on the aforementioned problem, a system is needed to forecast the sales of cakes and foods, namely Single Exponential Smoothing (SES). This research uses the SDLC Waterfall model for system development, while the application will be web-based using the CodeIgniter framework. Black box testing is conducted for system testing. The result of this research is a web-based forecasting application that can predict the sales of cakes and food in the next period based on actual sales data from the previous period. As a result, UD. Kaya Rasa can accurately estimate sales and sales profits for the next period using the SES formula.
Sistem Rekomendasi Jurusan Menggunakan Algoritma Naïve Bayes Gaussian Berbasis Web Ken Bagus Panuluh Yudha Perkasa; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i2.1090

Abstract

This study aims to develop a web-based department recommendation system using the Gaussian Naive Bayes algorithm to address the issue of student confusion in selecting majors at STIKI Malang. Limited career guidance and information pose challenges for high school graduates in making informed decisions about their suitable majors based on interests and potentials. In this research, training data from 107 active students and graduates are utilized to provide recommendations based on various attributes such as gender, current major, skills, hobbies, reasons for pursuing higher education, program selection motives, interest in mathematics, and interest in English. The Gaussian Naive Bayes method successfully classifies continuous data with an accuracy of 87,85%, effectively dealing with the uncertainty in major selection. It is hoped that this system will assist high school graduates in choosing appropriate majors, reducing major selection errors, and optimizing potential.
Sistem Informasi Klasifikasi Minat Siswa Terhadap Ekstrakurikuler Untuk Pembinaan Lomba Dengan Metode K-Means Clustering Ahmad Fanani; Siti Aminah; Febry Eka Purwiantono
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.920

Abstract

Extracurricular activities at MI (Madrasah Ibtidaiyah) As – Shodiq are only used for activities outside normal school hours to fill out report cards, but problems arise. in the competition is not optimal. With the existing problems, it is expected that the information system built using the website combined with the k-means clustering method can solve the existing problems. By referring to the values ​​in the report cards and daily values, they become parameters for the k-means clustering method. In this study using the waterfall methodology, in the waterfall methodology there are various stages, such as requirements analysis, design, development and testing. This research aims to classify students in extracurricular classes which will then be fostered to maximize extracurricular activities. So, based on the results of research conducted in the development of an information system in the form of a website combined with the k-means clustering method, it has been able to classify students into classes of subjects in extracurricular, so that teachers can foster students in each class long ago. to prepare for the competition. However, in the information system there are still some obstacles such as the time of calculating k-means and features that can be added for further research.
Prediksi Loyalitas Pelanggan Pada Fast Moving Consumer Goods Menggunakan Klasifikasi Metode C4.5 Laila Isyriyah; Imam Baihaqi; Febry Eka Purwiantono
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.1115

Abstract

Instant noodles are one of the food products from the Fast Moving Customer Goods (FMCG) industry which is a fairly large industry in Indonesia. However, competition is inevitable. So to win the competition from other companies, company management is required to determine a strategi to maintain customer loyalty. Therefore, the purpose of this study is to create an application to predict customer loyalty and determine the influential attributes by applying Data Mining Classification in the form of a desicion tree. The application method used in Classification for prediction is the C4.5 method. In the C4.5 algorithm, entropy and information gain are calculated where customer loyalty is the attribute of destination (class), while price, packaging, taste, cariety, advertising, distribution, and quality are the source attributes to obtain the root node and other nodes. The results of the study show that the application using the C4.5 method produces an accuracy of 95.5%, so the C4.5 method can be used to assist the management of instant noodle companies in order to determine strategies to maintain consumer loyalty.
Sistem Pakar Menggunakan Metode Certainty Factor untuk Mendiagnosa Penyakit pada Sapi Berbasis Web Muhammad Al Kausar; Febry Eka Purwiantono
ELANG: Journal of Interdisciplinary Research Vol. 2 No. 2 (2025): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v2i2

Abstract

Sistem pakar merupakan utilitas yang menggunakan strategi heuristic dikembangkan oleh manusia untuk memecahkan masalah yang istimewa. Sistem pakar sangat berguna dalam meningkatkan kemampuan non-ahli untuk memecahkan masalah. Pada penelitian ini sistem pakar digunakan untuk mendiagnosa penyakit pada sapi, karena ternak sapi rentan terhadap penyakit, yang mengakibatkan kerugian yang sangat signifikan bagi peternak sapi. Pengenalan dini gejala dari masing-masing penyakit, mengetahui penyebabnya, dan melakukan berbagai tindakan pencegahan merupakan upaya untuk meningkatkan keberhasilan berternak sapi. Metode sistem pakar yang digunakan pada penelitian ini adalah Certainty Factor (CF). CF dipilih karena dapat mendefinisikan tingkat kepastian tentang suatu penyakit sapi atau aturan untuk menggambarkan tingkat kepercayaan seorang pakar sapi terhadap gejala penyakit yang ada. Sistem diagnosa ini dibuat berbasis web agar peternak sapi lebih mudah dalam menggunakannya. Sistem diagnosa ini dilengkapi informasi mengenai gejala penyakit, jenis penyakit dan saran pengobatan penyakit pada sapi.
Enhancing Consumer Decision-Making in Skincare: Implementation of the VIKOR Method for Product Recommendation Systems Diah Arifah Prastiningtyas; Greta Septy Purwiantono; Febry Eka Purwiantono; Addin Aditya
Teknika Vol. 14 No. 2 (2025): July 2025
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v14i2.1218

Abstract

The challenge of selecting the most suitable skincare products, particularly sunscreens, has become increasingly complex due to the overwhelming variety of choices available on the market. Consumers are often confronted with a plethora of products, making it difficult to discern which one best suits their needs. This study seeks to address this issue by employing the VIKOR multi-criteria decision-making (MCDM) method, which offers a structured approach to product selection based on various factors that are highly relevant to consumers. The VIKOR method, which focuses on minimizing regret and finding the closest compromise solution, is especially suited for handling decisions that involve conflicting criteria. In this study, five key criteria—skin type, brand origin, price, SPF rating, and UVA protection grade—were identified as being of particular importance to consumers. A dataset of 175 sunscreens formulated for oily skin and produced locally was systematically analyzed using the VIKOR algorithm. This method enabled the normalization and aggregation of diverse criteria, allowing for an objective, data-driven comparison of the products. The VIKOR-based approach efficiently ranked the sunscreens and identified AZARINE Hydramax-C Sunscreen Serum as the optimal product. This sunscreen achieved the lowest Q value of 0.07, signifying that it represented the best compromise solution across all criteria. The study’s findings not only highlight the practical value of advanced decision-making tools in the context of consumer product selection but also contribute to broader discussions on consumer behavior and decision-making frameworks. By demonstrating the efficacy of the VIKOR method, this research paves the way for its future application in various industries, offering a replicable and adaptable model for improving decision processes in consumer goods selection across diverse markets.
Peningkatan Keamanan Lingkungan Berbasis Internet of Think melalui Implementasi One Gate System di Desa Watugede Subari; Rakhmad Maulidi; Jozua F. Palandi; Febry Eka Purwiantono
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.11737

Abstract

The community service program conducted in Watugede Village, Singosari, aims to enhance environmental security through the implementation of Internet of Things (IoT) technology. The rapid population and economic growth in the Banjararum View housing area has posed serious security challenges, such as theft and robbery. To address these issues, the IoT Guard system was introduced, which integrates an ESP32 WiFi-based automatic barrier gate and CCTV cameras for real-time monitoring. This system allows for remote access control via a mobile application and accurate activity log recording. The program was implemented through several stages, including socialization to the residents, training on system usage, technology implementation, and impact evaluation. The results of this activity indicate a significant improvement in environmental security, a decrease in crime rates, and increased community involvement in maintaining security. The sustainability of the program is designed by involving the community in the management and maintenance of the applied technology. Thus, this model is expected to be replicable in other environments to create safer and more controlled areas, providing long-term benefits for the community.
SISTEM INFORMASI GEOGRAFIS CLUSTERISASI VAKSINASI DI KECAMATAN LOWOKWARU (MALANG) MENGGUNAKAN K-MEANS Abshor Naufar Hakim; Febry Eka Purwiantono
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol. 13 No. 2 Tahun 2022
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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

Abstract

Abstract Lowokwaru Malang District is one of the many sub-districts in East Java. This sub-district is located in Malang City and has 12 villages or sub-districts. Some of the residents did not know information on the development of vaccinations in Lowokwaru District so that some residents felt uncomfortable if there were residents who had not vaccinated to prevent the spread of COVID-19. Especially newcomers from outside who do not know about vaccination developments in the Lowokwaru sub-district. So we need a geographic information system that can provide information about the spread of vaccinations in the District of Lowokwaru Malang. So we need a website that can be used to see how the conditions for the spread of vaccinations in Lowokwaru District are using the k-means method. The results of the trial will show the condition of each area of Lowokwaru Malang District which is marked with red zones (vaccination distribution is still lacking), yellow (vaccination distribution is quite good), and green (vaccination distribution is almost maximal). And these results will be entered into the system.
Model AHP untuk Menentukan Prioritas Tema Kegiatan Keilmuan Berdasarkan Preferensi Mahasiswa Muhammad Alif Nur Darwanza; Febry Eka Purwiantono
ELANG: Journal of Interdisciplinary Research Vol. 4 No. 1 (2026): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v4i1

Abstract

Penentuan tema kegiatan keilmuan di perguruan tinggi umumnya masih bergantung pada pertimbangan subjektif penyelenggara sehingga belum sepenuhnya mencerminkan kebutuhan mahasiswa. Penelitian ini bertujuan membangun model rekomendasi tema workshop menggunakan metode Analytical Hierarchy Process (AHP) dengan mengintegrasikan preferensi mahasiswa dan pertimbangan akademik program studi. Data penelitian berasal dari 23 kegiatan workshop Universitas Bhinneka Nusantara (UBHINUS) periode 2022– 2025 yang menghasilkan 1.551 respons umpan balik. Setelah proses data cleaning, diperoleh 1.109 respons valid. Melalui proses ekstraksi, satu respons dapat menghasilkan lebih dari satu  usulan  tema  sehingga diperoleh  1.142  tema yang kemudian dikategorikan menggunakan pendekatan rule-based text    classification   berbasis    pencocokan    kata    kunci. Implementasi AHP difokuskan pada studi kasus workshop Laravel Filament Mastery: Creating Dynamic CRUD Interfaces dengan 49 respons umpan balik dan lima alternatif tema workshop yang memiliki frekuensi usulan tertinggi. Tiga kriteria yang digunakan meliputi frekuensi usulan mahasiswa, relevansi kurikulum program studi, dan relevansi profil lulusan.  Hasil  pembobotan  menghasilkan  bobot  kriteria masing-masing sebesar 0,648; 0,230; dan 0,122 dengan nilai Consistency Ratio (CR) sebesar 0,0047 yang menunjukkan penilaian    konsisten.    Hasil    sintesis    prioritas    global menempatkan Artificial Intelligence (AI) sebagai rekomendasi utama dengan skor 30,74%, diikuti General IT/TI sebesar 29,34%, Mobile Development sebesar 16,09%, Desain UI/UX sebesar 15,81%, dan Pemrograman Web sebesar 8%. Hasil penelitian menunjukkan bahwa AHP mampu menghasilkan rekomendasi tema kegiatan yang lebih objektif, konsisten, dan selaras dengan kebutuhan mahasiswa serta tujuan akademik program studi.
Penguatan Keamanan Lingkungan melalui Implementasi Secure Gate System Berbasis IoT Febry Eka Purwiantono; Subari Subari; Jozua Ferjanus Palandi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

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

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan di RW 08 Kelurahan Blimbing, Kecamatan Blimbing, Kota Malang, yang bertujuan meningkatkan keamanan lingkungan melalui penerapan Secure Gate System berbasis Internet of Things (IoT). Tingginya kepadatan penduduk dan mobilitas di wilayah ini meningkatkan potensi pencurian, akses tidak terkontrol, dan insiden keamanan lainnya. Secure Gate System mengintegrasikan barrier gate otomatis berbasis ESP32 WiFi, pemantauan CCTV pada titik strategis, dan aplikasi mobile (Secure Gate System) untuk pengendalian akses real-time serta pencatatan log digital. Tahapan pelaksanaan meliputi sosialisasi, perancangan sistem, pelatihan teknis, instalasi, serta monitoring dan evaluasi. Evaluasi melalui survei pengguna serta analisis log sistem menunjukkan adanya peningkatan kesadaran warga, partisipasi keamanan komunitas, serta efektivitas pengendalian akses. Luaran yang dihasilkan meliputi sistem Secure Gate System yang berfungsi, buku panduan pengguna, dokumentasi audio visual, poster informasi, serta publikasi media. Model ini dirancang untuk dapat direplikasi dan berkelanjutan dengan pengelolaan oleh komunitas.
Co-Authors Abshor Naufar Hakim Addin Aditya Addin Aditya Ahmad Fanani Ahmad Zakiy Ramadhan Alfonsius Lorensius Arif Widi Atmaja Daniel Rudiaman Sijabat Diah Arifah Diah Arifah Prastiningtyas Dyas Irvan Masruri Eva Handriyantini Go Frendi Gunawan Greta Septy Purwiantono Hafedo Rakhmad Prasetyo Hilman Nuril Hadi Imam Baihaqi Jozua F. Palandi Jozua Ferjanus Palandi Ken Bagus Panuluh Yudha Perkasa Koko Wahyu Prasetyo Laila Isyriyah Laila Isyriyah Lorensius, Alfonsius Mahadyanto, Rhesal Masruri, Dyas Irvan Muhammad Al Kausar Muhammad Alif Nur Darwanza Muhammad Sofwan Romli Nabiladika Naufal Rafif Nadiva Ramandani Nando Suchlistio Pramuda Novan Satria Yogaswara Oppi Anda Resta Perkasa, Ken Bagus Panuluh Yudha Prasetyo, Hafedo Rakhmad Radi Rusadi Susanto Rafif, Nabiladika Naufal Rakhmad Maulidi Rhesal Mahadyanto SITI AMINAH Subari Subari Subari Sugeng Widodo Sugeng Widodo Syntia Widyayuningtias Putri Listio WINDY WINDY