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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Dinamik 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 Nursing Public Health Social Sciences Transportation Other

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Application of the Aras Method in Problem Completion of Determining the Location of New Student Admission Prind Triajeng Pungkasanti; Henny Indriyawati; Susanto Susanto
International Journal of Information Technology and Business Vol. 4 No. 2 (2022): April: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.422022.16-20

Abstract

During the screening of new students, each state and private institution is required to carry out promotion in order to obtain the number of students according to the predetermined target. Problems that often occur when determining the location of promotion, the New Student Admission Team (PMB) determine the location of promotions randomly without considering several factors that can affect the number of students who will join. This is often done mainly by private university such as Semarang University (USM). To overcome this, a system is needed to provide information for the New Student Admission Team (PMB) in making decisions on the location of USM promotions. This system applies the Additive Ratio Assessment (ARAS) method and criteria that can affect the number of students who will later register because the determination of the location of the promotion is right on target. Criteria and weights include: Distance (cost) with a weight of 30%, number of students (benefit) with a weight of 40%, school status (benefit) with a weight of 20%, and a source of information (benefit) with a weight of 10%. The programming language used by PHP and data bases uses MySQL. The final result of this study is a decision support system that can provide information to the PMB team about the location of the school that has the potential for USM promotion.
PEMANFAATAN CAPCUT UNTUK VIDEO EDUKASI BANK SAMPAH DESA TRUKO KENDAL Zaman, Badroe; Pungkasanti, Prind Triajeng; Handayani, Sri
Jurnal DIMASTIK Vol. 2 No. 1 (2024): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v2i1.7284

Abstract

Kebijakan Pemerintah Kendal yang hanya mengelola sampah 30 % dari total sampah yang dihasilkan di kabupaten Kendal membuat seluruh wilayah desa di kabupaten Kendal harus mampu mengelola 70 % sampah yang ada. Desa Truko Kendal termasuk desa yang sudah memiliki bank sampah yang dikelola oleh BUMdes (Badan Usaha milik Desa) Berkah Amanah yang dalam pemilahan jenis sampah rumah tangga masih menemui berbagai kendala karena keterbatasan kemampuan di dalam membuat media edukasi kreatif untuk masyarakat dan belum memiliki kemampuan yang cukup untuk memanfaatkan beragam platform digital salah satunya video digital. Edukasi melalui video merupakan cara yang paling strategis sehingga masyarakat dapat memahami jenis-jenis sampah rumah tangga. Hal terpenting yang perlu ditingkatkan di dalam pembuatan video adalah bagaimana melakukan editing video edukasi yang berisi pesan supaya dapat tersampaikan ke masyarakat. Metode yang digunakan dalam kegiatan ini dalam bentuk  ceramah dan praktek mengenai pembuatan video edukasi bank sampah menggunakan aplikasi CapCut melalui ponsel pintar. Hasil yang dicapai dari kegiatan Pengabdian kepada Masyarakat (PkM) ini diperoleh melalui pre-test dan post-test tentang pengalaman peserta yang memiliki pengalaman membuat video editing, sebelum kegiatan pengabdian kepada masyarakat terdapat 2 peserta yang mempunyai pengalaman tentang video editing dan setelah kegiatan meningkat menjadi 13 peserta. Terjadi peningkatan sebelum dan sesudah dilaksanakan kegiatan tentang pengetahuan fitur-fitur yang disediakan aplikasi CapCut untuk mendukung video editing. Hasil pre-test didapat 8% peserta yang sudah mengetahui dan setelah kegiatan terjadi peningkatan sebesar 69% peserta mengetahui fitur-fitur di aplikasi CapCut.Kata Kunci: capcut, desa Truko, sampah, video edukasi
PENINGKATAN KEMAMPUAN PEMBUATAN KONTEN MEDIA SOSIAL INSTAGRAM BAGI SISWA SMA KESATRIAN 1 SEMARANG Utomo, Victor Gayuh; Ardima, Muhammad Basyier; Pungkasanti, Prind Triajeng
Jurnal DIMASTIK Vol. 2 No. 1 (2024): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/dimastik.v2i1.8445

Abstract

SMA Kesatrian 1 Semarang adalah salah satu sekolah favorit yang menjadi dambaan warga masyarakat Semarang dan Jawa Tengah khususnya serta Indonesia pada umumnya. SMA Kesatrian 1 Semarang memiliki keunggulan lokasi strategis tapi membatasi pada hal tersebut tidak cukup. SMA Kesatrian 1 Semarang juga berharap mampu menjaring pasar dengan mengenalkan kegiatan siswa di sekolah. Membuat konten promosi melalui media sosial Instagram dapat menjadi salah satu cara yang ditempuh. Kegiatan Pengabdian kepada Masyarakat kali ini berusaha memperkenalkan cara agar kegiatan promosi melalui media Instagram ini dapat lebih optimal. Kegiatan Pengabdian kepada Masyarakat dilakukan melalui beberapa tahapan yaitu pengumpulan data, analisa masalah, perumusan metode pelaksanaan, evaluasi pra kegiatan, pelaksanaan pelatihan dan evaluasi pasca kegiatan. Pelaksanaan pelatihan sendiri terdiri dari ceramah, peragaan dan praktek. Dari perbandingan hasil evaluasi pra kegiatan dan pasca kegiatan, didapatkan bahwa peserta kegiatan, siswa anggota organisasi sekolah, mendapatkan pemahaman tentang media promosi sebesar 73%, meningkat 34% dibandingkan sebelum mendapatkan pelatihan. Peningkatan pemahaman terutama terkait faktor untuk komunikasi dua arah dari pembuat konten dengan follower di media sosial dan struktur membuat konten yang benar.
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.
Co-Authors Agusta Praba Ristadi Pinem Aldiansyah Fathul Majid Anggi Farika Sari 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 Didin Herlinudinkhaji, Didin Dimas Dwi Budiarjo EB, Gita Aprinta Edi Widodo Edi Widodo, Edi Fajriannoor Fanani, Fajriannoor Gita Aprinta, Gita 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 Larasati, Diah Ayu Putri Listya, Annisa Cahya 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 Pinem, Agusta Praba Ristadi 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 ZAMAN, BADROE