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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Dinamik Sainteks Interaksi : Jurnal Ilmu Komunikasi Jurnal Simetris Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah KOMPUTASI Journal of Applied Information, Communication and Technology (JAICT) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Sains dan Informatika Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Surya Masyarakat Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Tekno Kompak Building of Informatics, Technology and Science Journal of Information Systems and Informatics Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Surya Masyarakat Teknika Jurnal Computer Science and Information Technology (CoSciTech) Information Science and Library Bulletin of Computer Science Research Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat SmartComp Tematik International Journal of Information Technology and Business Systematic Literature Review Journal Jurnal DIMASTIK
Prind Triajeng Pungkasanti, Prind Triajeng
Universitas Semarang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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A Systematic Review on Data Fusion Techniques for Agri-cultural Yield Prediction: Integrating Satellite Imagery with Climatic Data Khoirudin, Khoirudin; Pungkasanti, Prind Triajeng; Hidayati, Nurtriana
Systematic Literature Review Journal Vol. 1 No. 4 (2025): October: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i4.245

Abstract

An answer to the worldwide need for solutions to food security, data fusion technology that combines climate data with satellite imagery greatly improves the accuracy of agricultural yield predictions; this study intends to examine the advancements, methods, and key contributions of this area. By sifting through 62 papers pulled from Scopus, this research employs the SLR methodology. Document type, data source, open access, subject area, and year of publication (2020–2024) are some of the categories filtered through by Boolean keywords in the selection process. To assess patterns in publications, the efficacy of machine learning models, and key contributions, bibliometric analysis was performed. An upward tendency in publication has been identified by the analysis, particularly beyond the year 2023. Integrating geographical and temporal data has been a great success with machine learning models like Random Forest, Random Forest, and Gradient Boosting. Data resolution, integration of data from several sources, and a real-time framework are still missing pieces to the puzzle when it comes to generalizing research outcomes. More complex data fusion approaches, multiregional datasets, and advanced machine learning models to back more accurate agricultural predictions are all things that this study notes as needing additional investigation in the future. To further innovate agricultural yield prediction, multidisciplinary collaboration is also crucial.
Analisis Komparasi Metode SAW Dan TOPSIS Dalam Pemilihan Distributor Barang Gudang Sihmawanto, Fahreza Dandy; Wijayatno, Ganef Tri; Pungkasanti, Prind Triajeng
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.925

Abstract

Distributor selection is a strategic decision in supply chain management that affects product availability, operational costs, and customer satisfaction. This study aims to compare and evaluate distributor selection decision-making using two Multi-Criteria Decision Making (MCDM) methods, namely Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Primary data was obtained through structured interviews with three expert practitioners at a distribution company. Five evaluation criteria were used: product quality (weight 0.30), product price (0.20), delivery accuracy (0.20), service response (0.15), and stock availability (0.15). Ten distributor alternatives were assessed using a 1–10 scale and processed independently using SAW normalization and TOPSIS vector normalization to generate rankings from each method. The results show that PT. Mitra Listrik Nusantara ranked first in both methods with a SAW score of 0.9414 and a TOPSIS score of 0.8057. Ranking consistency comparison through Spearman correlation analysis yielded a value of ? = 0.9515, indicating very high agreement between the two methods. This study provides practical contributions to warehouse management in adopting a data-driven approach for measurable and accountable distributor selection.
Klasifikasi Akun Palsu Pada Pengikut Akun Rental Cosplay Averentcos Di Instagram Menggunakan Metode K-Nearest Neighbour (KNN) Mufrodi, Hafidz; Odi, Hafidz Mufrodi S.Kom.; Nur Wakhidah; Prind Triajeng Pungkasanti
Jurnal Transformatika Vol. 23 No. 2 (2026): January 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i2.12287

Abstract

Technological advances have given business people several options to develop their business. One of them is using Instagram social media as a promotional tool. However, using social media as a promotional medium has its own problems. Fake accounts spread on Instagram can reduce the reach of business accounts. Until now, there are more than millions of fake accounts. Instagram continues to increase its efforts to detect and delete these fake accounts. This study was conducted to be able to classify accounts suspected of being fake accounts on the followers of the averentcos account using the k-NN method. The data used were 500 follower accounts with various backgrounds. This study used several variables, namely Profile Photo, Username Length, Number of Name Words, Similarity of Name to Username, Bio Length, External Links, Public Accounts, Number of Posts, Number of Followers, Number of Followed so that accuracy of 86,666% can be achieved.
PENINGKATAN KEMAMPUAN PENYUSUNAN KARYA TULIS MENGGUNAKAN MANAJEMEN REFERENSI DAN TOOLS AI BAGI SISWA SMAN 4 SEMARANG Wakhidah, Nur; Pramono, Basworo Ardi; Pungkasanti, Prind Triajeng; Fanani, Fajriannoor
Jurnal DIMASTIK Vol. 4 No. 1 (2026): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v4i1.13668

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kemampuan penyusunan karya tulis siswa SMAN 4 Semarang melalui pemanfaatan manajemen referensi dan tools Artificial Intelligence (AI). Kegiatan diikuti oleh 25 peserta dan dilaksanakan melalui tiga tahapan utama, yaitu persiapan, pelaksanaan, serta evaluasi dan monitoring. Tahap persiapan meliputi koordinasi tim, penyusunan materi, dan penyiapan instrumen evaluasi. Tahap pelaksanaan dilakukan melalui pemaparan materi terkait karya tulis ilmiah, manajemen referensi, dan etika penggunaan tools AI, dilanjutkan dengan praktik langsung. Evaluasi monitoring dilakukan menggunakan pre-test dan post-test. Hasil pre-test menunjukkan tingkat pemahaman awal sebesar 73%, sedangkan hasil post-test meningkat menjadi 92%. Dengan demikian, terjadi peningkatan kemampuan peserta sebesar 18,8%. Hasil kegiatan menunjukkan bahwa metode pelatihan yang mengombinasikan pemaparan materi dan praktik langsung efektif dalam meningkatkan pemahaman, keterampilan, serta kesadaran etika akademik siswa dalam penyusunan karya tulis ilmiah. Kegiatan ini diharapkan dapat memberikan dampak positif dan berkelanjutan terhadap peningkatan literasi akademik siswa.
Pemilihan Layanan Dompet Digital Berdasarkan Preferensi Gen Z Menggunakan Integrasi Metode SAW, MOORA, dan ORESTE Prabowo, Raihan Ary; Wildan, Dzanuar Auzi; Pungkasanti, Prind Triajeng
Sainteks Vol. 23 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v23i1.29477

Abstract

Penetrasi ekonomi digital di era Revolusi Industri 4.0 telah mengubah perilaku transaksi Generasi Z menjadi sangat bergantung pada dompet digital, namun kompleksitas fitur sering kali menyulitkan pemilihan platform yang ideal. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) untuk pemilihan layanan dompet digital yang paling sesuai dengan preferensi pengguna. Kebaruan metodologis dalam penelitian ini terletak pada integrasi tiga metode pengambilan keputusan, yaitu Simple Additive Weighting (SAW), Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), dan ORESTE, untuk memberikan hasil evaluasi yang lebih objektif dan komprehensif. Data dikumpulkan melalui kuesioner dari 40 responden yang divalidasi dengan tingkat reliabilitas tinggi (Cronbach's Alpha 0,953). Hasil analisis menunjukkan kriteria keamanan menjadi prioritas utama dengan bobot 30%. Implementasi algoritma mengungkap bahwa metode SAW dan MOORA secara konsisten merekomendasikan Dana sebagai platform terbaik karena keunggulannya pada kriteria berbobot besar. Sebaliknya, metode ORESTE menetapkan OVO sebagai prioritas utama karena konsistensi peringkat yang lebih stabil di seluruh parameter. Kontribusi penelitian ini memberikan kerangka kerja analitis bagi akademisi dan praktisi dalam membandingkan efektivitas berbagai metode SPK, serta menjadi panduan strategis bagi industri teknologi finansial dalam memahami prioritas pengguna. Integrasi metode ini terbukti mampu meminimalkan subjektivitas dan memberikan rekomendasi yang lebih berimbang bagi konsumen digital. 
Mengatasi Hambatan Literasi Digital: Strategi Pemasaran Digital bagi Pelaku UMKM Desa Truko Agusta Praba Ristadi Pinem; Prind Triajeng Pungkasanti; Gita Aprinta
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.251-256

Abstract

The development of information technology that is not accompanied by the acceleration of digital literacy, especially in the MSME sector, can result in failure to compete in an era of high use of digital marketing. This service activity aims to increase understanding and use of digital marketing among MSMEs in Truko Village, Kendal Regency. Through training and mentoring activities using the Participatory Action Research (PAR) method, MSMEs are actively involved in the digital marketing learning process. The results of the situation analysis show that although the majority of MSMEs have basic knowledge about digital marketing, implementation is still limited. Training activities are focused on digitalizing products and promotions, using tools such as photoroom, single landing page, Linktree, and WA Business. Evaluation of the results shows a significant increase in the use of digital marketing tools, reaching an 80% increase in the use of Linktree. This article summarizes the process, results and positive impact of community service activities in improving the skills and business competitiveness of Truko Village MSMEs in the digital era.
Implementasi Metode Elimination Et Choice Transiting Reality (Electre) Dalam Penentuan Provider Internet Annisa Cahya Listya; Diah Ayu Putri Larasati; Prind Triajeng Pungkasanti
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.v14i4.7054

Abstract

Perkembangan teknologi informasi di Indonesia saat ini semakin cepat dan telah banyak mengalami perubahan. Internet menjadi salah satu hal penting dalam kemajuan teknologi informasi. Penggunaannya saat ini sangat dibutuhkan untuk menunjang aktivitas dalam kehidupan sehari-hari seperti media penghubung komunikasi, mencari berita terkini, sarana hiburan, serta mengakses sumber informasi dan ilmu pengetahuan yang mudah, cepat, dan akurat sesuai dengan kebutuhan masing-masing. Dengan demikian, faktor penentuan dalam memilih provider internet terbaik sangat dibutuhkan masyarakat saat ini. Penelitian ini bertujuan  mengimplementasikan  metode Elimination Et Choice Transiting Reality (Electre) dalam menentukan provider internet. Adapun pada penelitian ini menggunakan lima kriteria yaitu meliputi harga, kemudahan pemasangan, gangguan jaringan, pelayanan, dan paket layanan yang ditawarkan berbagai provider internet tersebut. Berdasarkan hasil kuesioner dari 110 orang responden bahwa hasil perhitungan menggunakan metode Electre yang mendapat ranking satu adalah  Alternatif A1 dengan nama yaitu Indihome memperoleh  nilai 125,609 sebagai alternatif yang terbaik, ranking dua dengan nama yaitu MNCPlay sebagai Alternatif A2 memperoleh nilai 112,217, dan Biznet sebagai Alternatif A3 memperoleh nilai 60,048.
Mengatasi Hambatan Literasi Digital: Strategi Pemasaran Digital bagi Pelaku UMKM Desa Truko Agusta Praba Ristadi Pinem; Prind Triajeng Pungkasanti; Gita Aprinta
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.251-256

Abstract

The development of information technology that is not accompanied by the acceleration of digital literacy, especially in the MSME sector, can result in failure to compete in an era of high use of digital marketing. This service activity aims to increase understanding and use of digital marketing among MSMEs in Truko Village, Kendal Regency. Through training and mentoring activities using the Participatory Action Research (PAR) method, MSMEs are actively involved in the digital marketing learning process. The results of the situation analysis show that although the majority of MSMEs have basic knowledge about digital marketing, implementation is still limited. Training activities are focused on digitalizing products and promotions, using tools such as photoroom, single landing page, Linktree, and WA Business. Evaluation of the results shows a significant increase in the use of digital marketing tools, reaching an 80% increase in the use of Linktree. This article summarizes the process, results and positive impact of community service activities in improving the skills and business competitiveness of Truko Village MSMEs in the digital era.
Co-Authors Agusta Praba Ristadi Pinem Aldiansyah Fathul Majid Anggi Farika Sari Annisa Cahya Listya Ardianto, Brian Ardima, Muhammad Basyier Ari Muhamad Imran Aria Hendrawan, Aria Basworo Ardi Pramono Bimo Wahyu Syahputro, Bimo Wahyu Syahputro Cholil, Saifur Rohman Christioko, B. Very Diah Ayu Putri Larasati Didin Herlinudinkhaji, Didin Dimas Dwi Budiarjo EB, Gita Aprinta Edi Widodo Edi Widodo, Edi Fajriannoor Fanani, Fajriannoor Gita Aprinta Hadi, Soiful Handayani, Sri Henny Indriyawati Henny Indriyawati Hidayati, Nutriana Indah Permatasari Nurma’arif Irfan, Muhammad Nur Ismanto Ismanto Khoirudin Khoirudin, Khoirudin Khoirul Fahmi Kusumaningrum, Yulinda Mahendra, Rifqi Gusnar Mochamad Bagus Okta Eka Pramuditya Mohammad Sani Suprayogi Mohammad Sani Suprayogi Mufrodi, Hafidz Nugroho, Lingga Arum Nur Wakhidah Nur Wakhidah Nuraisha, Safira Nurtriana Hidayati Odi, Hafidz Mufrodi S.Kom. Palupi, Kinanthi Sekar Pangesti, Mey Tri Widya Prabowo, Raihan Ary Purnomo, Hamron Sulistyo Putra, Rafli Danu Kusuma Ramadhania, Salwa Rizal Rafli Fajar Kurniawan Septia Nike Bela Sapira Sihmawanto, Fahreza Dandy Susanto Susanto Susanto Susanto Titin Winarti Titis Handayani Trenady, Revangga Alif Victor Gayuh Utomo Wijayatno, Ganef Tri Wildan, Dzanuar Auzi ZAMAN, BADROE