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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimasku : Jurnal Pengabdian Masyarakat Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Science Technology and Management Journal (STMJ)
Adji, Dian Restu
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Transportation

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Metode dan Algoritma Dalam Data Clustering: Systematic Literature Review Adji, Dian Restu; Lutfina, Erba; Ferdianto, Bhekti Eka; Prashanti, Eva; Anwarri, Kenza Amelia Putri; Prayogo, Syahrul Rizqi
Science Technology and Management Journal Vol. 5 No. 1 (2025): Januari 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Nasional Karangturi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/stmj.v5i1.326

Abstract

This study is Systematic Literature Review (SLR) of 34 journals related to data grouping techniques (clustering). The main objective of the study is to investigate the use of clustering methods in various research fields. In order to achieve this goal, this study answers five main research questions. First, this study analyzes research fields where clustering methods are often used in data mining applications. Second, this study identifies the most frequently used clustering methods based on data from the journals that have been collected. Third, this study determines the clustering method that provides the most optimal number of groups (clustering) based on the analysis of these journals. Fourth, this study identifies the types of data sets that are most often used in the context of clustering. Finally, this study looks at the distribution of the publication years of these journals to present a time frame of the development of clustering research. The results of this study provide in-depth insight into the trend of the use of clustering methods in various research contexts, provide information on the most commonly used methods, identify methods that provide optimal results, describe the dominant types of data sets, and provide a chronological perspective on the development of clustering research. These findings can provide valuable guidance for researchers interested in applying or developing clustering methods in specific fields.
Pelatihan Pembuatan Produk Olahan Ikan Bagi Ibu-Ibu di Desa Keboireng Tulungagung Prashanti, Eva; Handoyo, Dhiky Resandi Wur; Saraswati, Galuh Wilujeng; Adji, Dian Restu
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.3076

Abstract

Desa Keboireng, Kecamatan Besuki, Kabupaten Tulungagung, memiliki potensi perikanan laut besar, terutama ikan tongkol dan tenggiri. Namun, sebagian besar hasil tangkapan dijual mentah sehingga nilai jualnya rendah. Kondisi ini mendorong pelaksanaan kegiatan pengabdian masyarakat berupa pelatihan pengolahan ikan tongkol dan tenggiri bagi ibu-ibu desa. Kegiatan ini bertujuan meningkatkan keterampilan dan pengetahuan peserta dalam mengolah hasil perikanan menjadi produk kuliner inovatif, yakni sambal ikan tongkol dan stik ikan tenggiri, yang berpotensi dikembangkan sebagai peluang usaha. Metode pelaksanaan meliputi lima tahap: (1) Sosialisasi dengan perangkat desa untuk memetakan kebutuhan pelatihan; (2) Pemberian materi teori dan praktik langsung, termasuk teknik memilih bahan segar, pengolahan, dan penyajian menarik; (3) Penerapan teknologi melalui media presentasi dan evaluasi pre-test serta post-test; (4) Pendampingan untuk memastikan penguasaan teori dan praktik; dan (5) Keberlanjutan program melalui pengembangan pemasaran digital dan perizinan usaha. Hasil menunjukkan peningkatan signifikan pemahaman dan keterampilan peserta, ditunjukkan oleh perbedaan rata-rata nilai pre-test dan post-test. Kegiatan ini berdampak positif pada pemberdayaan ekonomi masyarakat dan berpotensi dikembangkan lebih lanjut.
Kombinasi Metode Fuzzy Multiple Attribute dan Simple Additive Weighting untuk Keputusan Pembelian Mobil Bekas Pamungkas, Natalinda; Indriyono, Bonifacius Vicky; Mamud, Wildan; Adhim, Moh. Umar; Yuanita, Syafira Putri; Adji, Dian Restu
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 1 (2023): PROSIDING NSEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i1.3410

Abstract

Mobil merupakan salah satu transportasi yang berkembang di Indonesia. Hal ini dikarenakan mobil memiliki kenyamanan dan keamanannya yang baik. Saat ini kalangan masyarakat yang lebih cenderung untuk membeli mobil bekas daripada mobil baru. Salah satu faktor penyebab adalah harga. Namun banyak pertimbangan yang harus dipilih dalam menentukan mobil bekas diantaranya tahun, tipe, harga dan berbagai kriteria lain yang ditawarkan. Banyaknya pertimbangan ini menyebabkan munculnya kesulitan untuk melakukan perbandingan antara satu kriteria dengan kriteria lainnya. Untuk mengatasi masalah diatas maka dalam penelitian ini dibangun sistem pendukung keputusan dengan memadukan antara metode Simple Additive Weighting (SAW) dengan Fuzzy Multiple Attribute Decission Making (FMADM) untuk melakukan perangkingan. Penelitian ini bertujuan untuk menghasilkan aplikasi pendukung keputusan yang bisa memberikan rekomendasi mobil bekas terbaik kepada pembeli. Hasil dari pengujian menyimpulkan bahwa kombinasi dua metode yang digunak n mampu memberikan rangking terbaik dari sejumlah kriteria penentuan mobil bekas mana yang harus dibeli oleh calon pembeli.
Implementation of YOLOv11 for Food Detection to Support Nutritional Information in Stunting Prevention Adji, Dian Restu; Lutfina, Erba; Caturkusuma, Resha Meiranadi; Galuh Wilujeng Saraswati; Mahmud, Wildan
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15553

Abstract

Stunting remains a persistent public health challenge in Indonesia, mainly due to chronic malnutrition and limited parental literacy regarding balanced diets. To address this issue, this study developed an integrated nutrition education system using YOLOv11 and Generative AI, structured based on the ADDIE framework. This system aims to bridge the literacy gap by automating food identification and transforming technical nutritional data into easy-to-understand insights for stunting prevention. The study used a dataset of 2,413 images, which was expanded to 4,687 through augmentation. Technical evaluation showed strong performance with a Mean Average Precision (mAP@0.5) of 97%, ensuring reliable detection of important protein sources such as eggs. In addition to accuracy, the system applies a heuristic nutritional assessment algorithm visualized through a ‘Traffic Light’ system to reduce the cognitive load on users. Qualitative evaluation with posyandu cadres showed a significant increase in nutritional understanding, with 90% of users able to explain appropriate dietary interventions based on AI recommendations. These results conclude that the integration of computer vision with structured educational design effectively transforms mobile devices into real-time decision support systems for stunting prevention initiatives at the community level.
Co-Authors Adhim, Moh. Umar Anwarri, Kenza Amelia Putri Bonifacius Vicky Indriyono, Bonifacius Vicky Caturkusuma, Resha Meiranadi Ferdianto, Bhekti Eka Handoyo, Dhiky Resandi Wur Lutfina, Erba Mamud, Wildan Pamungkas, Natalinda Prashanti, Eva Prayogo, Syahrul Rizqi Saraswati, Galuh Wilujeng Wildan Mahmud Yuanita, Syafira Putri