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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Faktor Exacta Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JURNAL INSTEK (Informatika Sains dan Teknologi) Jiko (Jurnal Informatika dan komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) KOMPUTIKA - Jurnal Sistem Komputer JURNAL MANAJEMEN BISNIS JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Informatika Global Jambura Journal of Electrical and Electronics Engineering Jurnal Informatika dan Rekayasa Perangkat Lunak Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Mattawang: Jurnal Pengabdian Masyarakat PENGABDI: Jurnal Hasil Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence International Journal of Electronics and Communications Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Paradigma Edukasia: Jurnal Pendidikan dan Pembelajaran Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Jurnal Pengabdian Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Progressive Information, Security, Computer and Embedded System Paramacitra : Jurnal Pengabdian Masyarakat Jurnal MediaTIK SISFOTENIKA Artificial Intelligence in Educational Decision Sciences Journal of Digital Technology and Computer Science
Dewi Fatmarani Surianto
Universitas Negeri Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Analysis of Opinion Classification on Marriage Based on Support Vector Machine and Multi-Layer Perceptron Nur Isma; Lutfiah Tri Syahyaningsih; Dewi Fatmarani Surianto; Nur Fadilah
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.29616

Abstract

Marriage is an important aspect of social life that is influenced by cultural changes and public opinion, especially in the digital age. Public opinion on marriage is now widely disseminated through social media, both from traditional and modern perspectives. This study aims to classify public opinions on marriage using the Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) algorithms. The data used consists of 1,003 comments collected from social media. The study was conducted using two different approaches: stemming and data augmentation, which involves increasing the training data by modifying the original data to improve model performance. The results show that in the first approach, SVM achieved an accuracy of 77%, while MLP improved from 75% to 76% without stemming. In the second approach, data augmentation without stemming provided a significant improvement in accuracy, with SVM reaching 93% and MLP reaching 96%. Wordcloud visualization also highlights the importance of removing stopwords to reduce noise in the data. These findings indicate that data augmentation is an effective strategy for improving the performance of opinion classification models. This research contributes to the field of social sentiment analysis using machine learning approaches and is expected to serve as a reference for formulating policies aimed at improving marriage quality and family stability in Indonesia.
Minimizing Multiplication of Kernel Computation in Convolutional Neural Networks Using Strassen Algorithm Dary Mochamad Rifqie; Dewi Fatmarani Surianto; Sudarmanto Jayanegara; Muhammad Fajar B; M. Miftach Fakhri
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i2.1397

Abstract

Convolution neural networks (CNN) have been widely applied for the computer vision task. However, the success of CNN is limited by the computational complexity of the network, so it is difficult for the model to run the inference process in real time. In this paper, we apply Strassen matrix multiplication to reduce multiplications in convolution operations in CNN, in order to get faster execution for CNN. First, we transform the convolution operation into a matrix multiplication operation using the Toeplitz mapping method, then after that, we apply the Strassen method to these matrices. In the end, we compare the number of arithmetic operations (multiplication and addition) in the convolutional layer using Strassen and the standard algorithm. We apply this algorithm implementation in convolution layers 1 and 3 in LeNet-5 Architecture.
Perancangan Sistem Informasi Pendaftaran Siswa Baru Pada SMA Makassar Berbasis Website Dewi Fatmarani Surianto; Shasa Inayah Vega; Nafil Rizqullah Rajab; A. Arianugerah Ilham; Della Fadhilatunisa
Jurnal MediaTIK Volume 6 Issue 3, September (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v6i3.1459

Abstract

Di era saat ini, kemajuan teknologi telah mencapai sektor pendidikan dan digunakan secara luas di berbagai sekolah. Namun, SMA Makassar masih menghadapi kendala dalam mengadopsi teknologi tersebut. Salah satu contoh kendala tersebut adalah proses pendaftaran siswa baru yang masih dilakukan dengan cara konvensional. Untuk mengatasi masalah ini, penelitian ini bertujuan merancang sebuah sistem informasi yang dirancang khusus menggunakan platform website sebagai proses penerimaan siswa baru di SMA Makassar. Penelitian ini memiliki kepentingan yang signifikan dalam mencegah hambatan perkembangan teknologi di tingkat sekolah dan mengurangi risiko kesalahan yang mungkin terjadi akibat metode manual. Penelitian ini mengadopsi Model Waterfall dalam mengembangkan sistem, yang melibatkan tahap analisis, desain, pengkodean, pengujian, dan penerapan. MySQL digunakan sebagai basis data, sedangkan PHP dan HTML digunakan sebagai bahasa pemrograman utama. Metode pengujian yang digunakan dalam penelitian ini adalah Black Box Testing dengan hasil yang diperoleh adalah valid pada fitur-fitur yang dibangun.
Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen Aindri Rizky Muthmainnah; Jessicha Putrianingsih Pamput; Fhatiah Adiba; Dewi Fatmarani Surianto; Asmaul Husnah Nasrullah; Nur Azizah Eka Budiarti
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal distances. The criteria include academic performance, communication, subject mastery, and teaching experience. Testing results show that the system produces consistent selections, aligned with manual calculations and recruitment outcomes, proving its validity and effectiveness in supporting the selection process.
K-Means Clustering of Salty Snacks Based on Nutritional Information for Calorie-Deficit Diet Support Athiyyah Anandira; Mustari S Lamada; Muhammad Ayat Hidayat; Dewi Fatmarani Surianto; Abdul Rahman Patta
Journal of Digital Technology and Computer Science Vol. 3 No. 3 (2026): August 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i3.1389

Abstract

Purpose – This study aimed to cluster salty snack products based on their nutritional information using the K-Means algorithm and to identify the most suitable cluster for supporting a calorie-deficit diet, addressing high obesity rates in Indonesia and consumer difficulties with nutrition labels. Methods – This study used a quantitative data mining approach, 620 products were collected from FatSecret Indonesia via purposive sampling across variables of calories, fat, protein, fiber, sugar, and sodium. The data were processed through cleaning, missing-value checking, transformation, and Z-Score normalization, followed by K-Means clustering, Elbow method optimization, and evaluation via Silhouette Coefficient and Davies-Bouldin Index (DBI). Findings – The analysis identified three optimal clusters (k=3). The overall Silhouette Coefficient was 0.431 and DBI was 1.1534. C1 (461 products) featured lower calories, fat, sugar, and sodium, making it the most suitable cluster among the identified clusters. However, only 185 of the 461 products in C1 met the defined product-level safety criteria. C2 (96 products) was high in calories and fat, and C3 (63 products) had high protein but extreme sodium levels. Research implications – The study's validity is constrained by its reliance on secondary online data without direct laboratory verification. Furthermore, the use of mean imputation for the missing fiber data may have attenuated inter-cluster variance and reduced the discriminatory role of fiber. Originality – This research provides a novel contribution in grouping salty snack products by combining six main nutritional variables along with comprehensive model performance evaluation. C1 was identified as the most suitable cluster for supporting a calorie-deficit diet.
K-Means++ and TF-IDF for Grouping Library Books by Topic Pamput, Jessicha Putrianingsih; Muthmainnah, Aindri Rizky; Risal, Andi Akram Nur; Surianto, Dewi Fatmarani
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8272

Abstract

The grouping of library materials in the Department of Informatics and Computer Engineering (JTIK) at Universitas Negeri Makassar (UNM) is still conducted using a conventional system that relies on predefined categories and librarian intuition. This approach often leads to inconsistencies in book categorization, making it difficult for users to find relevant references efficiently. To address this issue, this research applies the K-Means++ clustering method, which optimizes centroid initialization for more accurate cluster formation. Books are grouped based on the TF-IDF weighting matrix, resulting in six distinct clusters characterized by unique centroid values. Analysis of the top 10 words per cluster highlights dominant topics within each group. The clustering quality was evaluated using the Silhouette Coefficient, with the highest value of 0.04299, indicating a well-separated cluster structure. These findings demonstrate that K-Means++ effectively organizes books based on word similarity, enhancing library material management and improving information retrieval in the JTIK library.
Co-Authors A. Arianugerah Ilham AA Sudharmawan, AA Abd. Rahman Patta Abdal, Nurul Mukhlisah Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Adiba, Fathiah Adiba, Fhatiah Adnas, Diny Anggriani Afrisal Arifin Agusyana, Nurrahmah Ahmar, Ansari Saleh Ahnaf Riyandirga Ariyansyah Putra Helmy Aindri Muthmainnah Aindri Rizky Muthmainnah Ainun Zahra Adistia Akbar, Mohammad Arsan Akbar, Muh. Arsan Akmal Hidayat Akmal Hidayat Akmal, Muhammad syafruddin Aksa, Muhammad Al Amanah, Muh. Nur Hidayat Alwi, Muh Naufal Ramadhani Amanda Putri Lestari Amiruddin Amri, Muh. Aidil Amukune, Stephen Ana Sulistiana Alwi Andi Akram Nur Risal Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Tenri Ola Rivai Andi, Tenriola Andika Isma Anwar Wahid Arifiyanti, Fitria Arifky, Reza Asis Nojeng Asmaul Husnah Nasrullah Asri Ismail Athiyyah Anandira Awalia, Andi Dio Nurul Awaliah, Widiarti Awaluddin, Muhammad Ghazali Ayu Hasnining Ayu Safitri Ayu Safitri Azis, Putri Alysia Azzah Ulima Rahma B., Muhammad Fajar Bahar, Muhammad Mahdinul Bakri, Muh. Fajrin Baso, Fadhlirrahman Cahyana Resky, Andi Aulia Clarisha, Windi Dary Mochamad Rifqie Della Fadhilatunisa Dhaffa Mulya Rahman Dilla, Salsa Dillah, Salsa Dwi Rezky Anadari Sulaiman Edi Suhardi Rahman Edy, Marwan Ramdhany Eriyani, Nindy Sri Erva Irianti Fadhlirrahman Baso FADIAH, NUR Fani, A. Astri Merilsa Fathahillah Fhatiah Adiba Fhatiah Adiba Firdaus Firdaus Firdaus Fitriani Dzulfadhilah Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Haekal Febriansyah Ramadhan Hanum Zalsabilah Idham Hardy M, Galang Hartini Ramli Hidayat M., Wahyu Ilyas, Sitti Nurhidayah Indanasufya Indanasufya Inez Sri Wahyuningsi Manguling Irwandi Ivan Fadillah Akram Iwan Suhardi Jariah S.Intam, Rezki Nurul Jariah, Rezki Nurul Jasruddin Jessicha Pamput Jessicha Putrianingsih Pamput Jumadi Mabe Parenreng Jumadil Ahmad Safi’i Jusniar . Khaerunnisa Nur Fatimah Syahnur Khalil Mubaraq Darwing Kurnia Prima Putra Lapendy, Jessica Crisfin Lutfiah Tri Syahyaningsih Lutfiah Tri Syahyaningsih M. Miftach Fakhri M. Syahid Nur Wahid Makmur, Haerunnisya Mappangara, Surianto MARDIAH, AINA Marwan Ramdhany Edy Meisaraswaty Arsyad Muh. Alief Rezky Anisar Muh. Juharman Muhammad agung Muhammad Akil Musi Muhammad Ayat Hidayat Muhammad Fadhil Hani Muhammad Fadhullah Muhammad Fahrul Rosi Ishaq Muhammad Fajar B Muhammad Fardan MUHAMMAD ILHAM Muhammad Nur Yusri Muhammad Rafli Aditya H. Muhammad Rakib Muhammad Try Dharsana Muharni Muharni Muhtadi, Nashiruddin Sahal Muliadi Muliadi Muliadi Musda Rida Mulia Muthmainnah, Aindri Muthmainnah, Aindri Rizky Mutmainnah R Nafil Rizqullah Rajab Nashiruddin Sahal Muhtadi Nasrullah, Asmaul Husnah Natsir, Nasrah Ninik Rahayu Ashadi NIRMALA, PUTRI Nur Fadiah Nur Fadilah NUR FADILAH NUR FADILLAH Nur Fadillah, Nur Nur Isma Nur Risal, Andi Akram Nurhidayat Nurhidayat Nurhidayat Nurjannah Nurjannah Nurjayanti Nurjayanti Nurrahmah Agusnaya Nurul Fadhilah Nurul Fadhillah S Nurul Fadhillah S Nurul Mukhlisah Abdal Pamput, Jessicha Pamput, Jessicha Putrianingsih Parenreng, Jumadi M. Putri Nanda Sari Putri Nirmala Putri Zhachilia Susanto Raden Mohamad Herdian Bhakti Rahman, Dhaffa Mulya Rahmaniar Rahmat Kurniawan Ramadhan, Haekal Febriansyah Resky, Andi Aulia Cahyana Rezki Angriani Pratiwi Kadir Rezki Nurul Jariah Ridwan Daud Mahande Ridwan Daud Mahande Risaldi, Muhammad Rosidah Rosidah Rusli, Risvan S, Aprilianti Nirmala S, Muh. Rizal S, Nurul Fadhillah S.Intam, Rezki Nurul Jariah Safira, Wahyuni Edsa Salam, Fitria Nur Dina Salsa Dillah Sari Wulandari Sasmita Sasmita Setialaksana, Wirawan - Shabrina Syntha Dewi Shasa Inayah Vega Siti Syarifah Wafiqah Wardah Soeharto Soeharto Sri Riski Wulandari Suherman, Muhammad Ilham Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syam, Abd. Azis Syamsurijal Syamsurijal, Syamsurijal Tenriola, Andi Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahid, Yokogeri Abdullah Wahyu Hidayat M Wahyu Hidayat M Wahyudi Wahyudi Warda Wahyuni Wardani, Ayu Tri WULANDARI Wulandari Wulandari Zsolt Lavicza Zulfikar, Muh Ihsan Zulhajji, Zulhajji