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Sistem Pengolahan Data Persediaan Barang Pada PD. Newtashima Kota Tasikmalaya Yustiana Yustiana; Nuk Ghurroh Setyoningrum
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 6 (2022): Desember 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i6.5283

Abstrak - Tujuan dari pembuatan sistem ini adalah untuk memperoleh hasil kajian tentang sistem yang berjalan mengenai sistem pengolahan data persediaan serta sistem yang diusulkan untuk mempermudah dan memperlancar dalam mengolah data di PD Newtashima Kota Tasikmalaya. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian deskriptif, sedangkan metode pengembangan sistem pengolahan data yang digunakan adalah model System Development Life Cycle (SDLC),dengan tahap perencanaan sistem, pengumpulan data, analisa sistem, desain sistem, implementasi sistem, pengujian dan pemeliharaan sistem. Hasil dari perancangan sistem pengolahan data persediaan menunjukan bahwa sistem yang diusulkan benar-benar telah terbukti dapat membantu mempermudah dan memperlancar proses pengolahan data persediaan sehingga pengolahan data persediaan lebih efektif dan efisien.Kata kunci: Sistem, Pengolahan, Persediaan, barang, Sistem Informasi. Abstract - The purpose of making this system is to obtain the results of a study of the running system regarding the inventory data processing system and the proposed system to simplify and expedite data processing at PD Newtashima Tasikmalaya City. The research method used in this research is descriptive research method, while the data processing system development method used is the System Development Life Cycle (SDLC) model, with the stages of system planning, data collection, system analysis, system design, system implementation, testing and maintenance. system. The results of designing an inventory data processing system show that the proposed system has actually been proven to be able to help simplify and expedite the process of inventory data processing so that inventory data processing is more effective and efficient.Keywords: Systems, Processing, Inventory, goods, Information Systems.

Sistem Pengolahan Data Pembayaran SPP Di SMK Manangga Pratama Kota Tasikmalaya Hanina Sapira; Nuk Ghurroh Setyoningrum
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 6, No 3 (2023): Juni 2023
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v6i3.6172

Abstrak - Keadaan Teknologi pada SMK Manangga Pratama saat ini masih banyak mengalami kendala, salah satunya yaitu dalam proses pengolahan data pembayaran SPP siswa. Dalam pembayaran SPP siswa yang terjadi pada saat ini adalah masih dilakukannya proses pengolahan data secara manual yaitu petugas SPP akan mencatat data pembayaran SPP siswa dalam kertas. Kemudian petugas merekap nya ke dalam buku besar dan buku harian untuk pembuatan laporan. Dalam menjawab permasalahan yang ditemukan, tugas akhir ini bertujuan untuk mempermudah petugas dalam rekapitulasi data dan pembuatan laporan. Metode penelitian yang digunakan adalah metode penelitian deskriptif, sedangkan metode pengembangan sistem informasi yang digunakan adalah SDLC (system Development Life Cycle), dengan tahap perancangan sistem, pengumpulan data, analisa sistem, desain sistem, implementasi sistem, pengujian dan pemeliharaan sistem. Hasil dari tugas akhir ini adalah suatu sistem informasi yang dapat membantu mempermudah proses rekapitulasi SPP dan pembuatan laporan SPP di SMK Manangga Pratama Kota Tasikmalaya pada bagian tata usaha.Kata kunci: Pengolahan Data, Pembayaran SPP, SMK Manangga Pratama Kota Tasikmalaya. Abstract - The State of Technology at Manangga Pratama Vocational High School is currently experiencing many obstacles, one of which is in processing student tuition payment data. In student tuition payments that occur at this time, data processing is still being carried out manually, namely the SPP officer will record student tuition payment data on paper. Then the officers recorded it in ledgers and diaries for making reports. In answering the problems found, this final project aims to make it easier for officers to recapitulate data and prepare reports.The research method used is descriptive research method, while the information system development method used is SDLC (system Development Life Cycle), with the stages of system design, data collection, system analysis, system design, system implementation, system testing and maintenance.The result of this final project is an information system that can help simplify the process of recapitulating tuition fees and making SPP reports at Manangga Pratama Vocational School, Tasikmalaya City in the administration section.

Sistem Pengolahan Data Persediaan Barang Pada PD. Newtashima Kota Tasikmalaya Yustiana Yustiana; Nuk Ghurroh Setyoningrum
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 6 (2022): Desember 2022
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i6.5283

Abstrak - Tujuan dari pembuatan sistem ini adalah untuk memperoleh hasil kajian tentang sistem yang berjalan mengenai sistem pengolahan data persediaan serta sistem yang diusulkan untuk mempermudah dan memperlancar dalam mengolah data di PD Newtashima Kota Tasikmalaya. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian deskriptif, sedangkan metode pengembangan sistem pengolahan data yang digunakan adalah model System Development Life Cycle (SDLC),dengan tahap perencanaan sistem, pengumpulan data, analisa sistem, desain sistem, implementasi sistem, pengujian dan pemeliharaan sistem. Hasil dari perancangan sistem pengolahan data persediaan menunjukan bahwa sistem yang diusulkan benar-benar telah terbukti dapat membantu mempermudah dan memperlancar proses pengolahan data persediaan sehingga pengolahan data persediaan lebih efektif dan efisien.Kata kunci: Sistem, Pengolahan, Persediaan, barang, Sistem Informasi. Abstract - The purpose of making this system is to obtain the results of a study of the running system regarding the inventory data processing system and the proposed system to simplify and expedite data processing at PD Newtashima Tasikmalaya City. The research method used in this research is descriptive research method, while the data processing system development method used is the System Development Life Cycle (SDLC) model, with the stages of system planning, data collection, system analysis, system design, system implementation, testing and maintenance. system. The results of designing an inventory data processing system show that the proposed system has actually been proven to be able to help simplify and expedite the process of inventory data processing so that inventory data processing is more effective and efficient.Keywords: Systems, Processing, Inventory, goods, Information Systems.

Sistem Pengolahan Data Pembayaran SPP Di SMK Manangga Pratama Kota Tasikmalaya Hanina Sapira; Nuk Ghurroh Setyoningrum
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 6, No 3 (2023): Juni 2023
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v6i3.6172

Abstrak - Keadaan Teknologi pada SMK Manangga Pratama saat ini masih banyak mengalami kendala, salah satunya yaitu dalam proses pengolahan data pembayaran SPP siswa. Dalam pembayaran SPP siswa yang terjadi pada saat ini adalah masih dilakukannya proses pengolahan data secara manual yaitu petugas SPP akan mencatat data pembayaran SPP siswa dalam kertas. Kemudian petugas merekap nya ke dalam buku besar dan buku harian untuk pembuatan laporan. Dalam menjawab permasalahan yang ditemukan, tugas akhir ini bertujuan untuk mempermudah petugas dalam rekapitulasi data dan pembuatan laporan. Metode penelitian yang digunakan adalah metode penelitian deskriptif, sedangkan metode pengembangan sistem informasi yang digunakan adalah SDLC (system Development Life Cycle), dengan tahap perancangan sistem, pengumpulan data, analisa sistem, desain sistem, implementasi sistem, pengujian dan pemeliharaan sistem. Hasil dari tugas akhir ini adalah suatu sistem informasi yang dapat membantu mempermudah proses rekapitulasi SPP dan pembuatan laporan SPP di SMK Manangga Pratama Kota Tasikmalaya pada bagian tata usaha.Kata kunci: Pengolahan Data, Pembayaran SPP, SMK Manangga Pratama Kota Tasikmalaya. Abstract - The State of Technology at Manangga Pratama Vocational High School is currently experiencing many obstacles, one of which is in processing student tuition payment data. In student tuition payments that occur at this time, data processing is still being carried out manually, namely the SPP officer will record student tuition payment data on paper. Then the officers recorded it in ledgers and diaries for making reports. In answering the problems found, this final project aims to make it easier for officers to recapitulate data and prepare reports.The research method used is descriptive research method, while the information system development method used is SDLC (system Development Life Cycle), with the stages of system design, data collection, system analysis, system design, system implementation, system testing and maintenance.The result of this final project is an information system that can help simplify the process of recapitulating tuition fees and making SPP reports at Manangga Pratama Vocational School, Tasikmalaya City in the administration section.

Augmentasi Data Audio Menggunakan Metode Time Shifting dan Random Gain Alam Alam; Nuk Ghurroh Setyoningrum; Robby Maududy; Miftahudin Miftahudin
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9062

Abstrak - Penelitian ini membahas penerapan teknik augmentasi data audio sebagai solusi untuk mengatasi keterbatasan jumlah dataset dalam pengembangan model pembelajaran mesin pada pengenalan dan pemrosesan sinyal audio. Augmentasi data dilakukan untuk memperluas dan memperkaya variasi data tanpa perlu mengumpulkan data tambahan, dengan tujuan meningkatkan performa model. Dua metode augmentasi yang digunakan dalam penelitian ini adalah time shifting dan random gain. Time shifting dilakukan dengan menggeser sinyal audio sejauh 0,2 detik untuk menjaga kealamian suara, sementara random gain mengatur volume audio secara acak dalam rentang 0,5 hingga 1,5. Dataset yang digunakan berupa pelafalan 28 huruf hijaiyah dengan total 364 data audio dari sumber terbuka di Kaggle. Hasil augmentasi menunjukkan peningkatan variasi sinyal audio tanpa mengubah karakteristik inti suara, yang diharapkan dapat meningkatkan akurasi dan ketahanan model dalam menghadapi variasi input audio. Penelitian ini memberikan kontribusi terhadap pemanfaatan teknik augmentasi sebagai strategi efektif dalam pengolahan data audio terbatas untuk pengembangan model pembelajaran mesin yang lebih handal.Kata kunci: Augmentasi; Data; Audio; Random Gain; Time Shifting. Abstract - This paper discusses the application of audio data augmentation techniques as a solution to the limited number of datasets in the development of machine learning models in audio signal recognition and processing. The process of data augmentation involves the expansion and enrichment of data sets without the necessity of collecting additional data. The objective of this process is to enhance the performance of models. The two augmentation methods employed in this study are time shifting and random gain. Time shifting involves the adjustment of the audio signal by 0.2 seconds, a modification intended to preserve the naturalness of the sound. Random gain, on the other hand, adjusts the audio volume within the range of 0.5 to 1.5, a process that is entirely random. The dataset employed in this study consists of the pronunciation of 28 Hijaiyah letters, encompassing a total of 364 audio data points sourced from open databases on Kaggle. The augmentation results demonstrate an augmentation in audio signal variation without a concomitant alteration in the fundamental characteristics of the sound. This is expected to enhance the accuracy and robustness of the model in the face of audio input variations. This research makes a significant contribution to the field by demonstrating the efficacy of augmentation techniques as a strategy for processing limited audio data, thereby facilitating the development of more reliable machine learning models.Keywords: Audio; Data; Augmentation; Random Gain; Time Shifting.

Digital Authenticity under Generative AI: Mechanisms of Synthetic Signal Construction and Strategic Legitimacy in Branding Nuk Ghurroh Setyoningrum; Ahmad Mundzir
Manexia: Journal of Business, Management, and Creative Economy Vol. 1 No. 2 (2025): Strategic Reconfiguration and Generative AI in Marketing and Creative Economy
Publisher : UDEX Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66203/manexia.01205

The diffusion of generative artificial intelligence (GenAI) in branding practices challenges a central assumption in authenticity research: that legitimacy derives primarily from indexical continuity between expressive artifacts and experiential origin. As firms increasingly rely on synthetic systems to produce scalable, adaptive, and stylistically coherent brand communications, the structural linkage between expression and embodied authorship becomes attenuated. This article develops a mechanism-based framework to explain how authenticity and strategic legitimacy are reconstructed under conditions of generative intensification. Integrating signaling theory, legitimacy theory, and dynamic capabilities, the analysis conceptualizes authenticity as an emergent property of orchestrated synthetic signal regimes rather than as an intrinsic attribute of origin. The framework specifies a curvilinear relationship between generative AI intensity and perceived authenticity: moderate integration enhances coherence and responsiveness, while uncalibrated intensification risks signal dilution and perceived artificiality. Perceived authenticity mediates the effect of generative intensity on strategic legitimacy, and synthetic signal orchestration capability conditions the threshold at which legitimacy erosion occurs. Contextual salience, including heritage intensity and customer epistemic sensitivity, further shapes these dynamics. By reframing authenticity as governance-dependent under digital abundance, the article extends branding theory and dynamic capabilities scholarship while providing a structured agenda for empirical examination of AI-enabled marketing transformation.

PENERAPAN ALGORITMA NAÏVE BAYES CLASSIFIER UNTUK KLASIFIKASI PENJUALAN OBAT DI APOTEK NUGRAHA Rifa Maulida; Nuk Ghurroh Setyoningrum; Alam
IPSIKOM Vol. 14 No. 1 (2026): Jurnal Ipsikom
Publisher : LPPM UNIVERSITAS INSAN PEMBANGUNAN INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v14i1.446

This study discusses the application of the Naive Bayes Classifier algorithm in analyzing drug sales transaction data at Apotek Nugraha. The purpose is to assist stock management and decision-making related to drug availability based on consumer purchasing patterns. The data used consists of sales transaction records, which are then processed and classified to predict drug demand trends. The Naive Bayes Classifier method was chosen for its ability to perform classification quickly, simply, and with relatively good accuracy even when using limited datasets. The results indicate that this algorithm can identify frequently purchased drug categories and provide predictions that support efficient inventory management. Thus, the implementation of data mining using Naive Bayes Classifier can improve the effectiveness of pharmacy services while minimizing the risks of both stock shortages and overstocking.

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