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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya Dinamik Jurnal Simetris Abdimas Telematika Jurnal Transformatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat IJCIT (Indonesian Journal on Computer and Information Technology) Voice Of Informatics STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Dan Sistem Informasi Bisnis Scientific Journal of Informatics Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) JITU : Journal Informatic Technology And Communication Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknologi Informasi dan Komunikasi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) International Journal of Quantitative Research and Modeling JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) SmartComp Tematik Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Muria Pengabdian Masyarakat Jurnal DIMASTIK Palawa Jurnal Pengabdian Kepada Masyarakat
Susanto Susanto
Universitas Semarang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Implementasi Algoritma FP-Growth untuk Sistem Rekomendasi Produk Kebutuhan Pokok pada E-Commerce Herlambang, Mahjid; Susanto, Susanto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.900

Abstract

The rapid development of e-commerce in Indonesia necessitates recommendation systems that can capture user purchasing patterns accurately, adaptively, and in a data-driven manner. This study implements the FP-Growth algorithm to analyze transaction data from a self-developed essential-goods e-commerce platform. The research dataset consists of 60 user accounts with a total of 600 completed transactions, processed using a Python-based analytical module and au-tomatically integrated into a Laravel backend through a dedicated execution script. The FP-Growth algorithm is applied to generate frequent itemsets and association rules using a min-imum support of 0.01, a minimum confidence of 0.1, and a minimum lift of 1.0. The results indi-cate that the most dominant associative patterns occur among kitchen staple products such as in-stant noodles, chicken eggs, and wheat flour, as well as household cleaning products such as de-tergents and fabric softeners. Several rules exhibit confidence values as high as 0.9615 and lift values up to 4.451, indicating strong and statistically significant relationships between products. System performance evaluation using a Top-4 recommendation scheme shows a Hit Rate of 54.35% and a Recall of 54.35%, demonstrating that the system is able to provide relevant recom-mendations for the majority of transactions. This implementation is shown to improve recom-mendation accuracy while strengthening personalization and cross-selling strategies on essen-tial-goods e-commerce platforms. These findings confirm that FP-Growth is an effective and effi-cient method for identifying empirical purchasing patterns and supporting the development of recommendation systems in small- to medium-scale e-commerce environments.
Peningkatan Kemampuan Artificial Intelligence untuk Coding bagi Siswa SMK Negeri 3 Kendal Eka Putri Rachmawati; Victor Gayuh Utomo; Titis Handayani; Susanto
Palawa: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31942/palawa.v4i2.15393

Abstract

Perkembangan teknologi informasi yang semakin pesat telah memberikan dampak besar di dunia pendidikan, khususnya dalam pembelajaran coding dan pemrograman. Artificial Intelligence (AI) kini tidak hanya berfungsi sebagai alat bantu, tetapi juga sebagai mitra belajar yang mampu meningkatkan kreativitas, efisiensi, dan kemampuan problem-solving siswa. Salah satu pendekatan pembelajaran berbasis AI yang semakin berkembang adalah vibe coding, yaitu metode pemrograman melalui interaksi percakapan antara pengguna dan sistem cerdas. Pendekatan ini dinilai mampu mengurangi hambatan teknis sekaligus meningkatkan pemahaman konsep logika pemrograman. Siswa Sekolah Menengah Kejuruan (SMK), termasuk SMK Negeri 3 Kendal, memiliki peluang besar untuk memanfaatkan AI guna meningkatkan kompetensi digital dan daya saing di era industri 4.0. Namun demikian, terdapat beberapa permasalahan utama, antara lain siswa hanya memahami coding konvensional dan minim wawasan terkait peluang industri berbasis AI. Melalui kegiatan pengabdian “Peningkatan Kemampuan Artificial Intelligence untuk Coding bagi Siswa SMK Negeri 3 Kendal”, pelatihan yang diberikan terbukti mampu meningkatkan kompetensi siswa, khususnya jurusan Pengembangan Perangkat Lunak dan Gim (PPLG). Hasil pelatihan menunjukkan bahwa siswa berhasil mengembangkan sistem rekomendasi objek wisata menggunakan metode vibe coding. Berdasarkan hasil pre-test dan post-test, rata-rata kemampuan peserta meningkat dari 68,79 menjadi 88,96, dengan peningkatan 20,17 dan standar deviasi 15,78. Perhitungan statistik menghasilkan p-value sebesar 9×10⁻⁸ yang menunjukkan peningkatan signifikan. Peningkatan pemahaman terbesar terdapat pada kategori Penerapan AI (36%), sedangkan pemahaman tertinggi berada pada kategori Dasar AI (96%). Temuan ini menegaskan bahwa integrasi AI melalui vibe coding efektif untuk meningkatkan kemampuan coding dan kesiapan karier siswa SMK.
Sistem Pendukung Keputusan Kawasan Kumuh Kota Semarang Menggunakan Metode Copras Dengan Data Vitalitas Non Ekonomi Sebagai Data Kriteria Saifur Rohman Cholil; Yudi Prayoga; Yudi Cahyono; Susanto Susanto
Jurnal Ilmiah Informatika Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i2.112-123

Abstract

Semarang City is the capital of Central Java Province which has a location in the middle of the province. Its strategic location is on the route across the North Coast of Java Island which connects major cities on Java Island. The high population in the city center requires the fulfillment of the need for livable housing, especially to accommodate urbanists whose jobs are concentrated in the trade and service sectors in the commercial area in the city center. The availability of complete facilities and infrastructure in the city center is also an attraction for people to live in the area. With the income level and economy of the community less so high, without realizing it, the need for livable settlements is difficult to accommodate. This study aims to build a decision support system (DSS) for the determination of Slum Areas in Semarang City using the COPRAS method. The COPRAS method has a good degree of selectivity because it can determine the purpose of conflicting criteria. System implementation is done using PHP language and MySQL database. The SPK that was built was able to produce recommendations by providing the ranking of slum areas to users.
The Selection of Learning Platforms to Support Learning Using Fuzzy Multiple Attribute Decision Making Vensy Vydia; Susanto Susanto; Sri Handayani; Maulana Bahrul Alam
International Journal of Quantitative Research and Modeling Vol. 3 No. 1 (2022): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i1.257

Abstract

The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic.
Analisis Efektivitas Teknik File Carving pada Pemulihan Data Digital Menggunakan PhotoRec Susanto; Hanafi, Irfan; Aulia, Narisa; Fardani, Muhammad Jauhar; Irfan, Muhammad Nur
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2245

Abstract

Data loss is a critical issue in the digital era, both in everyday computing and in forensic investigations. This study aims to evaluate the effectiveness of PhotoRec, an open-source file carving tool, in recovering lost files from a FAT32 storage medium. A strict digital forensic approach was applied by performing disk imaging, preserving evidence integrity, and documenting each stage in detail. Data loss was simulated through logical deletion and by scanning unallocated sectors to closely replicate real-case conditions. PhotoRec was then utilized to select the target media, identify partitions, determine the file system type, and scan free space to extract files based on signature recognition. The findings show that PhotoRec successfully recovered a total of 50 files, including all primary files deleted during the experiment. In addition, several system-related files such as ELF were also recovered, illustrating the aggressive nature of carving techniques that extract any recognizable data structure. These results confirm that PhotoRec can operate effectively in data loss scenarios on FAT32 media, even when file metadata is no longer available. This study contributes to a deeper understanding of PhotoRec’s performance within the context of digital forensics and highlights its relevance as an investigative tool that prioritizes accuracy, integrity, and procedural traceability.
Rancang Bangun Aplikasi Antrian Komunitas Game Arcade Maimai Berbasis Framework Laravel Insannul Imam Rohny Khoirri; Susanto Susanto
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 2 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i2.10027

Abstract

Meningkatnya popularitas game arcade maimai di kalangan pecinta musik dan komunitas rhythm game menghadirkan permasalahan baru, yakni terbatasnya jumlah mesin arcade yang tersedia dibandingkan dengan banyaknya pemain yang ingin bermain. Kondisi ini sering menyebabkan antrean Panjang dan ketidaknyamanan dalam pengelolaan waktu bermain. Bahkan untuk beberapa game center tidak memperbolehkan memasang papan antrian, jadi akan menyusahkan jika setiap datang harus membawa papan antrian sendiri. Untuk mengatasi hal tersebut, penelitian ini merancang sebuah aplikasi antrian berbasis web menggunakan framework Laravel yang bertujuan untuk mempermudah pengelolaan antrean secara digital, transparan, dan terorganisir. Aplikasi ini dirancang dengan fitur utama seperti pengisian antrean secara real-time dan serta histori antrean. Dengan menerapkan metode pengembangan sistem RAD (Rapid Application Development), aplikasi ini diuji melalui simulasi penggunaan oleh komunitas pemain Maimai. Diharapkan bahwa sistem antrian digital ini mampu meningkatkan efisiensi waktu tunggu dan mengurangi terlewatinya antrian untuk pemain yang pergi untuk makan atau melakukan kegiatan lain . Dengan demikian, aplikasi ini diharapkan dapat menjadi solusi efektif dalam mendukung pengalaman bermain yang lebih tertib dan menyenangkan bagi komunitas game arcade Maimai.
Implementasi Metode SMART Untuk Menentukan Kinerja Pegawai Terbaik Pada CV Swastika Permata Kontruksi Fila Puspita Sari; Susanto Susanto
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 1 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i1.9827

Abstract

: Evaluasi kinerja pegawai adalah elemen penting dalam pengelolaan sumber daya manusia yang berfungsi untuk menilai seberapa efektif, produktif, dan berkontribusinya individu terhadap sasaran organisasi. CV Swastika Permata Konstruksi, sebagai perusahaan yang bergerak di industri konstruksi, membutuhkan sistem penilaian yang adil, transparan, dan terukur untuk mengidentifikasi pegawai terbaik. Dalam studi ini, metode Simple Multi Attribute Rating Technique (SMART) digunakan sebagai pendekatan penilaian yang berdasarkan pada kriteria. Pemilihan metode SMART dilakukan karena kemampuannya untuk menggabungkan bobot dan nilai guna dari tiap kriteria penilaian, seperti tanggung jawab, skill, presentasi, kerja tim, dan loyalitas. Dengan melalui proses perhitungan yang terstruktur, didapatkan skor akhir yang mempertimbangkan kinerja total setiap pegawai. Temuan penelitian mengindikasikan bahwa pegawai dengan skor tertinggi menunjukkan performa terbaik berdasarkan bobot yang telah ditetapkan. Implementasi metode SMART terbukti meningkatkan objektivitas, efisiensi, dan membantu manajemen dalam pengambilan keputusan
Co-Authors Abriansah, Fausta Rizky Adellia Hilda Putri Ahmad Maulana Arif Alauddin Maulana Hirzan Albani, Hafidz Zamzam Alda Hani Meidina Anggraini, Nabela Yulian April Firman Daru Ardiyanto, Ilham Aria Hendrawan, Aria Arini, Nurul Astrid Novita Putri, Astrid Atmoko Nugroho Aulia, Narisa Basworo Ardi Pramono Cahyono, Yudi Cholil, Saifur Rohman Dewanti, Tita Risa Dewi Nurdiyah, Dewi Dimas Dwi Budiarjo Edi Widodo, Edi Eka Putri Rachmawati Fardani, Muhammad Jauhar Febrian Wahyu Christanto Ferdian, Praditya Rendi Fila Puspita Sari Firdaus, Azmi Maulana Hanafi, Irfan Handayani, Sri Harminanto, Burhan Herlambang, Mahjid Insannul Imam Rohny Khoirri Irfan, Muhammad Nur Jati, Purbo Pangestu Satria Jovita Khoirudin Khoirudin, Khoirudin Kurniawan, Nanda Dwi Kurniawan, Nurdin Lila Anggraini Luna, Asyira Andhini Mar’atuzzulfa, Salma Masithoh, Mauluddiah Maulana Bahrul Alam Mojang Widhiyani Ashari Muhsinin, Muhammad Muhsinin Mukhammad Said Riza Zudi Muzzakin, Muhamad Ningrum, Setya Nurtriana Hidayati Pasha, Radhita Amelia Patmawati, Putri Pipit Aryani Pradana, Adam Prind Triajeng Pungkasanti, Prind Triajeng Pulung Nurtantio Andono Putri, Nela Aulina ramadhani, jovita wayan Rangga Rahmat Prayuda Rastri Prathivi Rastri Prathivi Rati - Riana Romadhoni, Gilang Akbar Rosidah, Nafiati Saifur Rohman Cholil Siti Asmiatun, Siti Sri Handayani Syahruli, Mauriski Titis Handayani Titis Handayani Vensy Vydia Victor Gayuh Utomo Whisnumurti Adhiwibowo Widyandayani, Anita Galih Yasiri, Jamilatur Rizqil Yekti Adi Prasetyo Yogi Agus Setiawan Yudi Cahyono Yudi Prayoga Yuliarti, Sadna Putri Yurista Kumkamdhani, Tirta