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All Journal Jurnal Sains dan Teknologi Teika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal Ilmiah KOMPUTASI JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SYUKUR (Jurnal Inovasi Sosial dan Pengabdian Masyarakat) Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Building of Informatics, Technology and Science Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Madaniya Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Kajian Ilmiah Community Empowerment Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Applied Computer Science and Technology (JACOST) BEMAS: Jurnal Bermasyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Atma Inovasia Abdimas Indonesian Journal INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Borobudur Informatics Review Jurnal Informatika Polinema (JIP) Jurnal Ilmiah Sistem Informasi Smart Dedication: Jurnal Pengabdian Masyarakat Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Dedikasi Nusantara
Sukmasetya, Pristi
Universitas Muhammadiyah Magelang
Religion Arts Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Other

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Analisis Pengelompokan UMKM Berdasarkan Kategori Menggunakan Algoritma K-Means dan K-Medoids Ajarwiro, Cweto Bolodiko; Maimunah, Maimunah; Sukmasetya, Pristi
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 1 (2024): January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i1.54632

Abstract

Sektor Usaha Mikro Kecil dan Menengah (UMKM) menjadi salah satu faktor utama yang mendorong pertumbuhan ekonomi Indonesia. Jumlah kategori UMKM yang banyak perlu dilakukan pengelompokan agar dapat membantu pemerintah dalam mendukung pengembangan UMKM. Dalam penelitian ini dilakukan pengelompokan UMKM berdasarkan kategori menggunakan algoritma K-Means dan K-Medoids. Data yang digunakan dalam penelitian ini adalah data UMKM Kota Magelang yang diambil dari PeRSADA sebanyak 3491. Pada tahap pengolahan data dilakukan pengecekan tipe data, penanganan data yang hilang, pelabelan dan penjumlahan kategori UMKM. Setalah data diolah maka dilakukan pengelompokan data menggunakan algoritma K-Means dan K-Medoids. Pengelompokan kategori UMKM menggunakan algoritmat K-Means dan K-Medoids menghasilkan 3 klaster. Pengelompokan menggunaka K-Means menghasilkan klaster tinggi sebanyak 1 kategori, klaster sedang 3 kategori, dan klaster rendah 60 kategori. Pengelompokan menggunakan K-Medoids menghasilkan klaster tinggi 1 kategori, klaster sedang 2 kategori, dan klaster rendah 61 kategori. Berdasarkan nilai DBI, algoritma K-Means mempunyai nilai 0,496 sedangkan algoritma K-Medoids bernilai 0,499. Dengan demikian klastering UMKM Kota Magelang menggunakan K-Means lebih baik daripada algoritma K-Medoids. Melalui pengelompokan UMKM berdasarkan kategori dapat membantu memberikan informasi untuk pengembangan UMKM.
Perancangan UI/UX Website Teknik Informatika UNIMMA Menggunakan Metode Design Thinking Pangestiaji, Yongki; Hendradi, Purwono; Sukmasetya, Pristi
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 1 (2024): January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i1.55112

Abstract

Website merupakan sistem yang sangat penting bagi banyak orang guna menggali suatu informasi. Tampilan yang baik memiliki nilai dan daya tarik tersendiri bagi pengguna. Universitas Muhammadiyah Magelang (UNIMMA) memiliki banyak website sistem informasi masing-masing pada setiap prodi untuk mempermudah berjalannya proses perkuliahan terutama prodi Teknik informatika. Tujuan dari penelitian ini adalah untuk merancang dan memperbaharui tampilan (UI) dan (UX) website tersebut. Metodologi yang digunakan pada penelitian ini adalah design thinking, yang melibatkan analisis kebutuhan pengguna, memetakan masalah, menghasilkan ide, membuat prototype, dan melakukan pengujian. Untuk tahap pengujian, 10 peserta diberikan kuesioner System Usability Scale (SUS) untuk menilai website teknik informatika. Hasilnya menunjukkan rata-rata skor SUS sebesar 86,25 yang menunjukkan tingkat kepuasan pengguna yang tinggi dan keselarasan dengan kebutuhannya. Temuan-temuan ini memberikan landasan yang kuat untuk perbaikan dan kemajuan lebih lanjut pada situs web, memastikan bahwa situs ini dapat terus memberikan pengalaman pengguna yang optimal dan memenuhi kebutuhan pengguna dengan lebih baik. 
Implementasi Algoritma Machine Learing Pada Data Tidak Seimbang Menggunakan SMOTE Untuk Klasifikasi Kemiskinan Di Indonesia Ningsih, Desi; Maimunah, Maimunah; Sukmasetya, Pristi
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 6 No 2 (2026): April 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v6i2.13518

Abstract

Poverty in Indonesia requires precise analysis based on socio-economic indicators. This study develops classification models using Naïve Bayes, K-Nearest Neighbor (KNN), and Support Vector Machine (SVM). The primary focus is addressing class imbalance through the SMOTE technique. Utilizing 2021 BPS data from 515 regencies, the research incorporates 13 indicators, including education and infrastructure. Models were evaluated using accuracy, precision, recall, and F1-score across multiple data-split scenarios. Results indicate that SMOTE significantly enhances Naïve Bayes and KNN performance in identifying minority classes by reducing data bias. Conversely, SVM maintained consistent performance across all scenarios without SMOTE, attributed to its robust margin-based separation mechanism against distribution shifts. Overall, integrating SMOTE with machine learning algorithms improves classification reliability. This provides a crucial data-driven foundation for the government to formulate more targeted and equitable poverty alleviation policies across Indonesia, ensuring resources are allocated to the regions that need them most.
EfficientNetV2M for Image Classification of Tomato Leaf Deseases Arazka Firdaus Anavyanto; Maimunah Maimunah; Muhammad Resa Arif Yudianto; Pristi Sukmasetya
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5925

Abstract

Favorable climatic conditions make tomato plants (Solanum Lycopersicon) a widely cultivated horticultural crop in Indonesia. However, the increase in tomato production is often accompanied by a decrease in both the quantity and quality of the plants, which can be caused by a variety of factors such as bacteria, fungi, viruses, and insects like Late Blight and Two-Spotted Spider Mite diseases that attack the tomato leaves. To help farmers identify leaf diseases that have similar characteristics, this study employs image processing with the Convolutional Neural Network (CNN) algorithm and transfer learning models. Specifically, the study uses the EfficientNetV2M transfer learning architecture which has superior parameter efficiency and training speed compared to other transfer learning models. Additionally, this study conducts four experimental scenarios on preprocessing, including green channel + CLAHE, green channel + Gaussian Blur, CLAHE without green channel, and Gaussian Blur without green channel. The dataset used in this study includes 5,176 images with three labels: Tomato Healthy, Tomato Late Blight, and Tomato Two-Spotted Spider Mite. These images were used to train and produce models, which were then tested using a different dataset from the trained dataset. The testing dataset included 30 image samples divided into three labels. Based on the test results of the four models with different scenarios, the best model was found to be the one with the green channel preprocessing scenario + CLAHE, which was able to precisely predict all 30 image samples with high accuracy.
Uji Prototype Metode Design Thinking pada Penyebaran Informasi COVID-19 Rofi Abul Hasani; Muhammad Resa Arif Yudianto; Pristi Sukmasetya; Yusril Febriyanto
Jurnal Kajian Ilmiah Vol. 22 No. 2 (2022): May 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/fa8q9e76

Abstract

The spread of information about COVID-19 spreads so fast that the information circulating in the community has not been confirmed. This causes excessive anxiety and fear. There are several approaches to getting things done like design thinking, design sprint, and lean UX. With the right approach, this kind of situation will be resolved. From these problems, in this research, problem-solving will be carried out using a design thinking method. Because design thinking is the best method for developing innovative products. The design thinking process consists of 5 stages: Empathize, Define, Ideate, Prototype, Test. This research has carried out all these stages. The prototyping process uses the Figma mirror application to produce a more real experience for users. Then the prototype was tested on 5 respondents. After the test is carried out, it shows the success data based on predetermined indicators in the form of task 1 success is 80%, task 2 success is 100% successful, task 3 success is 60%, task 4 success is 40%, task 5 success is 100% and task 6 has 60% success. so that the average success of the prototype made is 88%. This means that the prototype developed with the design thinking method is easy for users to use. However, there are still features that have a low yield of 40%. So in the next iteration, it is necessary to improve the interface display that focuses on the call doctor feature based on user feedback.
Optimalisasi Digital Marketing melalui Pendampingan Branding dan Pengembangan Media Promosi Digital pada UMKM Dusun Mertan Sukmasetya, Pristi; Dwihantoro, Prihatin; Sasongko, Dimas; Nugroho, Setiya; Nurlatifah, Lusiana; Fita Megandini, Wirani
Smart Dedication: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2026): Smart Dedication : Jurnal Pengabdian Masyarakat
Publisher : SMART SCIENTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70427/smartdedication.v3i2.334

Abstract

Perkembangan ekonomi digital mendorong pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk tidak hanya mengandalkan pola pemasaran konvensional, tetapi juga membangun kehadiran digital yang terencana. Kegiatan pengabdian masyarakat ini dilaksanakan di Dusun Mertan, Desa Paremono, Kecamatan Mungkid, Kabupaten Magelang, dengan mitra pelaku UMKM produk rempeyek petho dan keripik tempe. Permasalahan utama mitra meliputi keterbatasan media promosi digital, belum optimalnya identitas merek, kemasan produk yang masih sederhana, serta keterbatasan pengetahuan dalam membuat konten pemasaran. Program ini bertujuan meningkatkan kapasitas mitra dalam memanfaatkan digital marketing sebagai strategi pemasaran dan penguatan branding produk. Metode pelaksanaan dilakukan melalui observasi, identifikasi kebutuhan, perencanaan solusi bersama mitra, pelatihan, pendampingan praktik, pengembangan packaging, pembuatan media sosial dan marketplace, serta evaluasi. Hasil kegiatan menunjukkan adanya peningkatan kesiapan mitra dalam menggunakan kanal digital, tersedianya akun promosi dan penjualan online, tersusunnya konsep konten pemasaran, serta perbaikan kemasan dan identitas produk. Kegiatan ini menegaskan bahwa pendampingan digital marketing yang praktis dan kontekstual dapat menjadi strategi pemberdayaan UMKM lokal agar lebih adaptif, kompetitif, dan berkelanjutan.
Co-Authors Abul Hasani, Rofi Aditya Prasetyawan Afidah, Inayatun Najihatul Afif Prasetyo Agung Vinia Rahma Ahmad Husen Ardiyansah Ajarwiro, Cweto Bolodiko Aji Purwoko Aji, Ridho Catur Novi Alan Kusuma Aliudin, Habib Said Almas Nurfarid Budi Prasetyo Almira, Venia Alvine Candra Amelia Anggraini Annisa Annisa Shabilla Arazka Firdaus Anavyanto Ardhin Primadewi Arham Rahim Arrojak, Muhamad Yusril Arthalia Wulandari, Ika Arya Prayoga Asmanto, Budi Athoetan, Salma Atmaja, Audi Ilham Auzi Asfarian Avian Ali Mas'ud Basunondro, Wibiartono Bayu Agustian Budi Setyo Wulan Cahya Sonny Surachman Catur Rahmawati Catur Rahmawati Catur Wulandari Dana I. Sensuse Danu Rendra Krisna Meganatara DESI NINGSIH Devi Oktaviani Dimas Sasongko Dwihantoro, Prihatin Dwika Oktavian Eko Muh Widodo Elin Cahyaningsih Emilya Ully Artha Endah Ratna Arumi Endah Ratna Arumi, Endah Ratna Erzi Hidayat Fadhlillah Jatmiko Utomo Famila Zidda Firdaus Anavyanto, Arazka Fita Megandini, Wirani Haryanto, Taufiq Hasani, Rofi Abul Hasbi Hutauruk1, Dzakiyyah Hasna Nur Arifaini Heni Apriyani Herlin Lutfiannisa, Alifia Hery Setiawan Hidayat, Chandra Nur Hidayat, Erzi Ika Arthalia Ika Arthalia Wulandari Imam Saputra Iqbal Ridwan Darmawan Jihan Nuariputri Laela Dian Angraeni Lusi Nurlatifah Maimunah Maimunah Maimunah Maimunah, Maimunah Maulida, R.Bima Gofiruli Muhammad Hafizh Hamdanuddinsyah Muhammad Resa Arif Yudianto Muhammad Riyan Andriyanto Muhammad Riyan Andriyanto Mujito Mukhtar Hanafi Muliasari Muliasari Nafiah, Anisatun Nawangsari, Rosiska Syekhrum Noris Mohd Norowi Nurlatifah, Lusiana Nurrohman, Muhamad Nuryanto Nuryanto Pangestiaji, Yongki Pradana Putra Utomo Purwono Hendradi Purwono Hendradi Putri Winly Apriliani Rahendra Firman Sunartama Ramadhan, Dean Apriana Rayinda Faizah Resa Arif Yudianto Resa Arif Yudianto Resa Arif Yudianto, Muhammad Resa Arif Yudiyanto Reza Pradana Adiharsa Rochiyanto, Andi Rofi Abul Hasani Sadewi, Fungki Ayu Safira Ayu Muthi'ah Salam, Muhammad Ifsyaus Salsadila Arsuliyanti Sandi Satria Alamsyah Sari, Nur Ita Sari, Wina Permana Satrio Satrio Sensuse, Dana I. Setiawan, Agus Setiya Nugroho Slamet Hidayat Sophia Ikhsanti Sugiarto, Bagus Susanti, Dwi Tito Rizki Purnomo Tri Wahyuni Uky Yudatama Uky Yudatama, Uky Utuh Setyaning Janji Wachiddin M Huda Wahyu Santoso Wina Permana Sari Wisnu Nugroho Wulandari, Ika Arthalia Yantria Gusta Nugraha Yudianto, Resa Arif Yusril Febriyanto Yusril Febriyanto Zahwa Dwi Larasati