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All Journal The Indonesian Journal of Business Administration Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Eksplora Informatika Techne : Jurnal Ilmiah Elektroteknika EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Advance Sustainable Science, Engineering and Technology (ASSET) ProBisnis : Jurnal Manajemen Jurnal Minfo Polgan (JMP) Community: Jurnal Pengabdian Pada Masyarakat
Adhitya Nugraha
Sistem Informasi Fakultas Ilmu Komputer Universitas Dian Nuswantoro
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Pendampingan bagi Siswa SMP Negeri 7 Semarang dalam Penggunaan Software Aplikasi Hidup Bersih dan Sehat Astuti, Yani Parti; Luthfiarta, Ardytha; Hidayat, Erwin Yudi; Nugraha, Adhitya; Subhiyakto, Egia Rosi; Octaviani, Dhita Aulia
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2698

Abstract

Sekolah adalah tempat menuntut ilmu dan juga tempat sosialisasi dan interaksi antar sesamA. Selain itu sekolah juga harus beradaptasi dengan lingkungan sekitar. Seperti halnya di Sekolah Menengah Pertama (SMP) Negeri 7 Semarang yang berada di Tengah kota yang dikenal oleh banyak orang khususnya warga Semarang. Di sekolah tersebut terdapat banyak fasilitas yang sesuai dengan standart di setiap sekolah. Salah satunya adalah adanya kantin sekolah yang berada dalam lingkungan sekolah. Namun demikian banyak juga yang berjualan di luar lingkungan sekolah yang setiap hari baik sebelum jam dimulai dan jam sekolah berakhir, jajanan di luar sekolah itu banyak dikunjungi siswa. Dengan kondisi seperti itu, maka perlu diwaspadai tentang Kesehatan siswa yang guru tidak mungkin mengawasi secara terus menerus. Untuk itu perlu adanya penyuluhan dan pengarahan bagi siswa agar tidak jajan sembarangan. Jajanan yang harus dibeli harus memperhatikan dari sisi gizi yang dikandungnya. Sekarang banyak jajanan yang super pedas, mengandung pengawet dan masih banyak lagi jajanan yang hanya mengejar murah dan rasa menendang. Dalam pengarahan ini, selain menghimbau untuk memperhatikan nilai gizinya, juga diperlihatkan akibat dari jajanan yang kurang sehat. Hal ini akan ditunjukkan dengan software aplikasi digital yang memberikan pengetahuan tentang akibat dari usus yang tidak sehat. Dengan begitu, siswa akan memperhatikan jajanan setiap hari. Selain jajanan, yang perlu diperhatikan lagi adalah tentang lingkungan sekitar yaitu bagaimana siswa membuang sampah, cuci tangan sebelum makan dan lain sebagainya. Karena selain Kesehatan usus, banyak juga penyakit yang disebabkan oleh kurang bersihnya lingkungan sekitar. Sehingga dengan adanya penyuluhan ini, siswa akan terdorong melakukan pola hidup bersih dan sehat yang merupakan slogan dari pemerintah khususnya pada bidang Kesehatan
Pengaruh Kualitas Pelayanan dan Harga Terhadap Kepuasan Konsumen pada Studi Kasus Bengkel Tunas Auto Graha Nugraha, Adhitya; Idayati, Irma; Rimbano, Dheo; Hidayatullah, Rachmad; Amanda, Nabila Rizka; Sundari, Sundari; Miftahussilmi, Ray Ikhsandri; Rumita, Dea
ProBisnis : Jurnal Manajemen Vol. 15 No. 6 (2024): December: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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

Abstract

Kualitas pelayanan merupakan hal yang penting untuk diperhatikan agar dapat mempertahankan eksistensi perusahaan. Dengan kualitas pelayanan yang baik maka kepuasankonsumen dapat tercapai. Harga yang meliputi: harga yang ditetapkan sudah sesuai dengan kualitas servis yang diberikan; pelayanan yang diterima sebanding dengan pelayanan yang diterima konsumen; dan harga yang ditetapkan sudah sesuai dengan spare part yang digunakan, berpengaruh terhadap loyalitas pelanggan. Penelitian ini bertujuan untuk meneliti pengaruh kualitas pelayanan dan harga terhadap kepuasan konsumen pada bengkel mobil Paramitha Auto Graha. Metode yang digunakan adalah systematic literature review (SLR), mengkaji 25 jurnal terkait. Hasil penelitian menunjukkan bahwa Variabel Pelayanan dikatakan berpengaruh terhadap Kepuasan Konsumen. Variabel pelayanan dapat diterima dalam penelitian ini karena berpengaruh positif dan signifikan terhadap kepuasaan konsumen. Dalam penelitian ini pelayanan yang baik akan meningkatkan mutu kerja dan pelanggan akan merasa betah untuk datang lagi untuk perbaikan kendaraan konsumen, sedangkan pelayanan yang buruk akan menurunkan minat pengunjung untuk datang kembali. Tidak ada pengaruh harga terhadap loyalitas pelanggan. Artinya bahwa harga yang meliputi: harga yang ditetapkan sudah sesuai dengan kualitas servis yang diberikan; pelayanan yang diterima sebanding dengan pelayanan yang diterima konsumen; dan harga yang ditetapkan sudah sesuai dengan spare part yang digunakan, berpengaruh terhadap loyalitas pelanggan.
AN ENHANCED MULTI-LAYERED IMAGE ENCRYPTION SCHEME USING 2D HYPERCHAOTIC CROSS-SYSTEM AND LOGISTIC MAP WITH ROUTE TRANSPOSITION Fauzyah, Zahrah Asri Nur; Nugraha, Adhitya; Luthfiarta, Ardytha; Farandi, Muhammad Naufal Erza
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4007

Abstract

In the rapidly evolving digital era, image encryption has become a crucial technique to protect visual data from the threat of information leakage. However, the main challenge in image encryption is improving security against cryptanalysis attacks, such as brute-force and differential attacks, which can compromise the integrity of the encrypted image. Additionally, the creation of efficient and fast encryption schemes that do not degrade image quality remains a significant challenge. This research proposes a multi-layer image encryption scheme that integrates the Logistic Map algorithm, Cross 2D Hyperchaotic (C2HM) system, and Route Transposition techniques. The method aims to enhance the security of digital image encryption by combining chaotic and hyperchaotic systems. The Logistic Map is used to generate a sequence of random values with high chaotic properties, while C2HM contributes to increasing complexity and variability. The Route Transposition technique is applied to scramble pixel positions, further strengthening the encryption’s randomness. The encryption key is derived from a combination of the image hash and user key, which are then used to calculate the initial seed in the chaotic algorithm. Experiments were conducted using standard images with a resolution of 512×512 pixels. The security analysis includes evaluations of NPCR, UACI, histogram analysis, and information entropy. The experimental results show that NPCR consistently exceeds 99.5%, while UACI ranges between 33.23% and 33.56%, indicating high sensitivity to minor changes. Histogram analysis demonstrates an even intensity distribution, and the information entropy value of 7.999 reflects an exceptionally high level of randomness. Robustness tests also indicate that this method can maintain image integrity even when subjected to damage or data loss.
A TOPIC-BASED APPROACH FOR RECOMMENDING UNDERGRADUATE THESIS SUPERVISOR USING LDA WITH COSINE SIMILARITY Nisa, Laila Rahmatin; Luthfiarta, Ardytha; Nugraha, Adhitya; Hasan, Md. Mahadi; Wulandari, Kang, Andini; Huda, Alam Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4061

Abstract

The thesis is one of the critical factors in determining student graduation. While working on the thesis, students will be guided by a lecturer who has the role and responsibility to ensure that students can prepare the thesis well so that the thesis is ready to be tested and is of good quality. Therefore, selecting a supervisor with the same expertise as the thesis topic is essential in determining students' success in completing their thesis. So far, the selection of thesis supervisors at Dian Nuswantoro University still needs to be done manually by students, so the lack of information about the supervisor can hinder students in determining the supervisor. This study aims to model the topic of lecturer research publications taken from the ResearchGate and Google Scholar platforms so that it is easier for students to choose a thesis supervisor whose research topic is relevant to the student's thesis using the Latent Dirichlet Allocation method. The LDA method will mark each word in the topic in a semi-random distribution. It will calculate the probability of the topic in the dataset and the likelihood of the word against the topic for each iteration. The results of LDA modeling present six main topics of lecturer research with the highest coherence score of 0.764, and then the resulting topics and thesis titles will be compared using cosine similarity. Students can use The highest cosine value as a reference when determining the right thesis topic. Thus, the supervisor selection process will be more focused and in accordance with the student's research interests.
Pendampingan ibu - ibu PKK tentang Deteksi Kanker Serviks Melalui Software Aplikasi Hidayat, Erwin Yudi; Astuti, Yani Parti; Salam, Abu; Nugraha, Adhitya; Paramita, Cinantya; Octaviani, Dhita Aulia
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 1 (2024): Maret : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v4i1.495

Abstract

One feared cancer among mothers is cervical cancer. Cervical cancer is a type of cancer that occurs in the cervix of women. Due to its hidden location, women may not be able to detect early on whether they have cervical cancer or not. Meanwhile, this disease ranks among the top three causes of death in Indonesia. To determine early on whether a woman is affected by cervical cancer, various methods are employed. Some search for symptoms on social media, some take preventive measures with various herbal remedies to avoid cervical cancer, and many other actions are taken by women. With the touch of artificial intelligence technology, these issues can be addressed. Therefore, the dedicated team is trying to create an application that can detect cervical cancer. With this application, women can find out early on whether they have or are approaching cervical cancer. Although the accuracy of this application is not 100%, at least women can be aware of the detection of this disease and can promptly seek treatment or prevention. With the existence of this application, it is hoped that it can be beneficial for the mothers of PKK Perum Kandri Persona Asri RT 04 RW 04, who are the subjects of this dedication.
Penerapan Model Investigasi Forensik Komputer Umum dalam Analisis Forensik Video CCTV Nugraha, Adhitya; Alwi, Erick Irawadi; Gaffar, Andi Widya Mufila
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13963

Abstract

Keamanan merupakan salah satu aspek yang harus dijaga dalam kehidupan masyarakat saat ini, semakin meningkatnya kasus kriminal seperti pencurian, perampokan baik di lingkungan rumah, toko, maupun perkantoran diperlukan mekanisme untuk meningkatkan keamanan. Salah satunya dengan memasang kamera pemantau atau yang biasa disebut CCTV (Closed Circuit Television) yang digunakan sebagai alat kamera pengawas.Metode penelitian yang dilakukan pada kasus pencurian pada toko sembako menggunakan metode yang bersifat kualitatif. Pada penelitian ini dilakukan analisis data yang bertujuan untuk mengidentifikasi bukti digital pada kasus rekaman video CCTV kasus pembegalan di Jl. Pahlawan Kelurahan Batangmata dengan menggunakan klasifikasi metode GCFIM, tahapan analisis data tersebut yaitu Pre-Process, Acquisition and Preservation, Analysis, Presentation, dan Post-Process.Hasil dari penelitian ini mendapatkan bukti berupa plat motor yang digunakan pelaku, objek wajah pelaku, dan tulisan pada pakaian pelaku. Dimana rekaman dari CCTV yang dijadikan sebagai barang bukti akan dilakukan proses identifikasi dan analysis menggunakan tools forensic yaitu MediaInfo dan AmpedFive. Proses identifikasi pada rekaman CCTV dalam mengidentifikasi plat motor pelaku beserta objek wajah pelaku berhasil teridentifikasi menggunakan tools AmpedFive. Dimana bukti tersebut sangat membantu penyidik dalam proses pencarian pelaku kejahatan aksi pembegalan yang terjadi di jalan raya tepatnya di Jalan Pahlawan Kelurahan Batangmata. Proses analisis rekaman CCTV kasus pembegalan di jalan raya menerapkan metode GCFIM. Metode ini sangat cocok digunakan dalam proses investigasi terkait video forensic yang dimana memiliki tahapan yang terstruktur sehingga mempermudah penyidik dalam melakukan proses investigasi.
Single-Image Face Recognition For Student Identification Using Facenet512 And Yolov8 In Academic Environtment With Limited Dataset Imam Muttaqin, Almas Najiib; Luthfiarta, Ardytha; Nugraha, Adhitya; Salsabila, Pramesya Mutia
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.3908

Abstract

Face recognition has become one of the most significant research areas in image processing and computer vision, mainly due to its wide applications in security, identity verification, and human and machine interaction. In this study, FaceNet512 and YOLOv8 models are used to overcome the challenges in face recognition with a limited dataset, which is only one formal photo per individual. The application of image augmentation to the model achieved 90% accuracy and ROC curve of 0.82, while the model without augmentation achieved 89% accuracy and ROC curve of 0.79. FaceNet512 showed superiority in producing more accurate and detailed facial representations compared to other models, such as ArcFace and FaceNet, especially in handling minimal facial variations. Meanwhile, YOLOv8 provides efficient face detection across various lighting conditions and viewing angles. The main challenge in this research is the low quality of the original image, which can reduce the accuracy of face recognition. These results show the great potential of using deep learning-based face recognition systems in the real world, especially for automatic attendance applications in academic environments.
Comparison of IndoNanoT5 and IndoGPT for Advancing Indonesian Text Formalization in Low-Resource Settings Firdausillah, Fahri; Luthfiarta, Ardytha; Nugraha, Adhitya; Dewi, Ika Novita; Hafiizhudin, Lutfi Azis; Mumtaz, Najma Amira; Syarifah, Ulima Muna
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4935

Abstract

The rapid growth of digital communication in Indonesia has led to a distinct informal linguistic style that poses significant challenges for Natural Language Processing (NLP) systems trained on formal text. This discrepancy often degrades the performance of downstream tasks like machine translation and sentiment analysis. This study aims to provide the first systematic comparison of IndoNanoT5 (encoder-decoder) and IndoGPT (decoder-only) architectures for Indonesian informal-to-formal text style transfer. We conduct comprehensive experiments using the STIF-INDONESIA dataset through rigorous hyperparameter optimization, multiple evaluation metrics, and statistical significance testing. The results demonstrate clear superiority of the encoder-decoder architecture, with IndoNanoT5-base achieving a peak BLEU score of 55.99, significantly outperforming IndoGPT's highest score of 51.13 by 4.86 points—a statistically significant improvement (p<0.001) with large effect size (Cohen's d = 0.847). This establishes new performance benchmarks with 28.49 BLEU points improvement over previous methods, representing a 103.6% relative gain. Architectural analysis reveals that bidirectional context processing, explicit input-output separation, and cross-attention mechanisms provide critical advantages for handling Indonesian morphological complexity. Computational efficiency analysis shows important trade-offs between inference speed and output quality. This research advances Indonesian text normalization capabilities and provides empirical evidence for architectural selection in sequence-to-sequence tasks for morphologically rich, low-resource languages.
Improving Multi-label Classification Performance on Imbalanced Datasets Through SMOTE Technique and Data Augmentation Using IndoBERT Model Cahya, Leno Dwi; Luthfiarta, Ardytha; Krisna, Julius Immanuel Theo; Winarno, Sri; Nugraha, Adhitya
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 3 (2023): Desember 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i3.2023.290-298

Abstract

Sentiment and emotion analysis is a common classification task aimed at enhancing the benefit and comfort of consumers of a product. However, the data obtained often lacks balance between each class or aspect to be analyzed, commonly known as an imbalanced dataset. Imbalanced datasets are frequently challenging in machine learning tasks, particularly text datasets. Our research tackles imbalanced datasets using two techniques, namely SMOTE and Augmentation. In the SMOTE technique, text datasets need to undergo numerical representation using TF-IDF. The classification model employed is the IndoBERT model. Both oversampling techniques can address data imbalance by generating synthetic and new data. The newly created dataset enhances the classification model's performance. With the Augmentation technique, the classification model's performance improves by up to 20%, with accuracy reaching 78%, precision at 85%, recall at 82%, and an F1-score of 83%. On the other hand, using the SMOTE technique, the evaluation results achieve the best values between the two techniques, enhancing the model's accuracy to a high 82% with precision at 87%, recall at 85%, and an F1-score of 86%.
Comparing Optimizer Strategies For Enhancing Emotion Classification In IndoBERT Models Krisna, Julius Immanuel Theo; Luthfiarta, Ardytha; Cahya, Leno Dwi; Winarno, Sri; Nugraha, Adhitya
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18228

Abstract

Emotions are one of the reactions of human when they receive physical or verbal action. Every human action is based on emotion. Every opinion expressed in the comments column also contains the author's emotions. This research aims to classify five emotions, Marah, Takut, Senang, Cinta, and Sedih and evaluate the performance of three commonly used optimizer, Adam, RMSProp, and Nadam. The processed data used IndoBERT model for Indonesian text classification. The research purpose to search the best optimizer for text classification. The result shows classification used Adam Optimizer 90,21%, RMSProp Optimizer 82.11, and Nadam Optimizer 88.61%. The Adam optimizer applied to the IndoBERT model yielded the best results. This shows a significant improvement from previous studies, which had emotion classification.
Co-Authors Abu Salam Amanda, Nabila Rizka Ardytha Luthfiarta Ariel Immanuel Prayogo Astuti, Yani Parti Cahya, Leno Dwi Dheo Rimbano Dwi Larso Dzaki, Muhammad Hafizh Egia Rosi Subhiyakto, Egia Rosi Erick Irawadi Alwi, Erick Irawadi Erwin Yudi Hidayat Fahrezi, Sahrul Fahrezi Fahrezi, Sahrul Yudha Fahri Firdausillah Farandi, Muhammad Naufal Erza Fauzyah, Zahrah Asri Nur Firmansyah, Gustian Angga Gaffar, Andi Widya Mufila Ganiswari, Syuhra Putri Gustian, Dinda Aulia Hafiizhudin, Lutfi Azis Harun Al Azies Huda, Alam Muhammad Idayati, Irma Ika Novita Dewi Imam Muttaqin, Almas Najiib Joshua Calvin Kurniawan Krisna, Julius Immanuel Theo Kurniawan, Joshua Calvin Md. Mahadi Hasan, Md. Mahadi Miftahussilmi, Ray Ikhsandri Mulyana, Yudha Mumtaz, Najma Amira Muttaqin, Almas Najiib Imam Nisa, Laila Rahmatin Novandian, Yohanes Deny Novanto , Fandy Novanto , The, Fandy Octaviani, Dhita Aulia Pangestu, Aditya Gilang Paramita, Cinantya Prayogo , Ariel Immanuel Primadya, Nauval Dwi Rachmad Hidayatullah, Rachmad Riyanto, Azizu Ahmad Rozaki Rumita, Dea Salsabila, Pramesya Mutia Setiawan, Dicky setiawan, nabila putri Sri Winarno Sundari Sundari Syarifah, Ulima Muna The, Fandy Novanto Wulandari, Kang Andini Wulandari, Kang, Andini Zarifa, Yasmine