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Utilizing phpMyAdmin for System Design in Enterprise Administration Wibowo, Mars Caroline; Wijanarko Adi Putra, Toni
Journal of Technology Informatics and Engineering Vol 3 No 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.193

In today's digital landscape, effective data management is essential for organizations, particularly small and medium-sized enterprises (SMEs) that often struggle with traditional manual methods, leading to inefficiencies and data inaccuracies. This research aims to investigate the implementation of phpMyAdmin, a web-based database management tool, to enhance administrative systems within SMEs. The study employs a mixed-methods approach, integrating qualitative case studies and quantitative surveys to gather comprehensive insights into user experiences and operational performance. The findings reveal that the adoption of phpMyAdmin significantly improves data management efficiency, with 75% of respondents expressing satisfaction with its user-friendly interface. However, challenges such as security vulnerabilities and the necessity for user training were also identified, indicating that while phpMyAdmin offers substantial benefits, organizations must address these issues to fully leverage their capabilities. The implications of this research suggest that SMEs should prioritize investing in user training and implementing robust security measures to mitigate risks associated with data management. By doing so, organizations can enhance their operational efficiency and decision-making processes. Future research should focus on the long-term impacts of phpMyAdmin and explore its integration with other management systems to further optimize organizational performance.

EXPLORATION OF AMPLITUDE CODING CAPACITIES FOR Q-ML MODEL Unang Achlison; Dendy Kurniawan; Toni Wijanarko Adi Putra; Siswanto Siswanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.916

Quantum computing implements computation adopting environmental phantasm and the foundation of quantum mechanics to clear up the issues. This design of calculation has been demonstrated to serve the acceleration of some modern processing issues. Current evolution in quantum technology is emerging, and the application of learning design to this current instrument is developing. With enough prospects, the application of quantum development in the area of Machine Learning has come clear. This research develops a TensorFlow Quantum (TF-Q) software framework model for machine learning functions. The two models advanced the application of material coding techniques from amplitude coding to constructing a case in the quantum learning model. This study aimed to explore the scope of amplitude coding to serve enhanced case establishment in learning techniques and in-depth investigation of data sets that bring insight into the practice data adopting the “Variational Quantum Classifier” (VQ-C). The emergence of this current method raises the investigation of how best this tool can be adopted, the aim is to provide several analysis explanations for the element of quantum machine learning that can be applied given the constraints of the actual device. The results of this study indicate there are clear advantages to adopting amplitude coding over another technique as demonstrated by adopting the combination of quantum-humanistic neural networks in TF-Q. In addition, the different preprocessing steps can generate more aspect-affluent data while using VQ-C the no-charge lunch assumption dominance for quantum learning technique for humanistic models. The material even though conceal in quantum by unadvanced data preparation steps but involves new ways of understanding and appreciating these new methods. Future studies will lack expansion into multi-type of analysis models that are sufficiently advanced to be relevant in work similar to this.

Cash Sales Information System Multiuser Based On Human Computer Facilities Semarang Dwi Prasetyaningsih; Fujiama Diapoldo Silalahi; Toni Wijanarko Adi Putra
Journal of Engineering, Electrical and Informatics Vol. 3 No. 1 (2023): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v3i1.2859

Sarana Insan Computer (SIK), a sales company operating in the computer sector in Central Java, has utilized Information Systems even though they are not yet well integrated between one system and another. Therefore, in this thesis the author will develop a cash sales system model by choosing SIK as the research object. The cash sales information system created includes a system for ordering goods, sending goods, sales returns and cash sales reports. This research aims to make it easier to present reports directly, accurately, quickly and to enable systems that do not yet exist to be integrated into an integrated system. So that the cash sales information system can be implemented well, a software development process is carried out which is based on correct software engineering. The software development model used in this research is a multiuser development model. Information technology which is developing rapidly today really provides support for the development of a cash sales information system for a computer sales company such as SIK, especially with the use of computer-based information technology or better known as a Computer Based Information System, because of the use of computer technology in a system. information will be able to process data more quickly with minimal error rates, save labor and save costs. The Cash Sales Information System is designed using direct data processing methods. The use of the direct data processing method is intended so that every incident of cash sales information can be processed directly. The procedures that will be processed consist of the administration section which handles administration, the purchasing section which handles incoming goods, the sales section which handles customer service and the computer goods sales section, the personnel section and the leadership itself.

PENGEMBANGAN MEDIA PEMBELAJARAN DALAM MENINGKATKAN PROFESIONALISME GURU DI YAYASAN ASSHODIQIYAH SEMARANG P, Toni Wijanarko A.; Fitrianto, Yuli; Solechan, Achmad; Kusumo, Haryo; Hakim, Fitro Nur
SWAGATI : Journal of Community Service Vol. 1 No. 1 (2023): March
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2023v1i1.1033

ABSTRACT The implementation of this service activity is carried out for teachers at the Asshodiqiyah Semarang Foundation which includes orations, training and mentoring which are given directly and gradually. The activity was carried out for 2 days and was attended by 28 participants from teachers (elementary, junior high, MA, vocational) in the Semarang Asshodiqiyah Foundation and guided by 9 presenters / lecturers from the University of Computer Science and Technology. After holding community service activities in the form of orations and training for elementary, junior high, MA and vocational teachers in the Semarang Asshodiqiyah Foundation, it can be concluded that: The implementation of these community service activities was deemed successful in developing the creativity of teachers in developing interactive learning media because the majority of the participants attending training activities can create an interactive learning media in accordance with the subjects taught at school. The teachers seemed enthusiastic about participating in this training and hoped that similar activities could be held in the future to improve the skills and abilities of the teachers. Keywords: learning media, teacher professionalism ABSTRAK Pelaksanaan kegiatan pengabdian ini dilakukan kepada guru di Yayasan Asshodiqiyah Semarang yang meliputi orasi, pelatihan serta pendampingan yang diberikan secara langsung dan bertahap. Kegiatan tersebut dilaksanakan selama 2 hari dan diikuti sebanyak 28 peserta dari para guru (SD, SMP, MA, SMK) di lingkungan Yayasan Asshodiqiyah Semarang dan dipandu oleh 9 orang pemateri / dosen dari Universitas Sains dan Teknologi Komputer. Setelah diadakannya kegiatan pengabdian masyarakat berupa orasi dan pelatihan bagi para guru SD, SMP, MA dan SMK di lingkungan Yayasan Asshodiqiyah Semarang), dapat disimpulkan bahwa: Pelaksanaan kegiatan pengabdian ini dirasa berhasil dalam mengembangkan kreatifitas pengajar dalam mengembangan media pembelajaran interaktif karena mayoritas para peserta yang hadir dalam kegiatan pelatihan dapat membuat suatu media pembelajaran interaktif sesuai dengan mata pelajaran yang diampu di sekolah. Para pengajar nampak bersemangat dalam mengikuti pelatihan ini dan berharap kegiatan serupa dapat diadakan dikemudian hari untuk meningkatkan keterampilan dan kemampuan pengajar. Kata Kunci: media pembelajaran, profesionalisme guru

Sistem Monitoring Suhu Dan Kelembaban Pada Ruang Server Berbasis Internet Of Things : (Studi Pada Rumah Sakit Roemani Muhammadiyah Semarang) Farhan Afif Ilmi; Dani Sasmoko; Iman Saufik Suasana; Sulartopo Sulartopo; Toni Wijanarko Adi Putra
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i3.186

Temperature and humidity are inseparable from server rooms. This is important because server rooms consist of computers that provide services 24 hours a day without stopping. After collecting all the supporting data, the author found that the temperature was too high and the humidity did not meet the standard, causing the computer to not function properly. The author finally created a tool that can monitor the temperature and humidity in the server room and applied it to the server room of Roemani Muhammadiyah Hospital in Semarang. The tool works by reading the temperature and humidity using a DHT22 sensor. After the data is read, the ESP32 will process the data, which will then be sent to a database and stored. The data can be viewed directly from anywhere. The tool not only monitors but also performs other functions, such as turning on the AC/fan when the temperature rises above the predetermined limit and sending notifications via Telegram to the staff so that they can take further action.This device will help the staff because all information about temperature and humidity will be recorded well, so the staff does not need to check the server room all the time.

Utilizing Explainable AI for Interpreting Machine Learning Model Results in Ceria Credit Scoring Setiawan, Roni Eka; Adi Putra, Toni Wijanarko; Hartono, Budi
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2769

This study aims to improve the transparency of machine learning models in credit scoring using various Explainable Artificial Intelligence (XAI) methods. The methods used include SHAP, BRCG, ALE, Anchor, and ProtoDash to explain the prediction results of machine learning models, namely logistic regression, XGBoost, and random forest. This study applies a quantitative approach with a comparative method, where Ceria loan application data from Bank Rakyat Indonesia (BRI) is analyzed using a machine learning model, then evaluated using the Explanation Consistency Framework (ECF). The results show that the XAI method can improve understanding of model decisions, with SHAP and ALE effective for global explanations, while Anchor and ProtoDash provide in-depth insights at the individual level. Evaluation using ECF shows that the post-hoc method has high consistency, although Anchor has limitations in the aspect of axiom identity. In conclusion, the XAI method can help improve trust and transparency in credit scoring at BRI.Keywords: Explainable Artificial Intelligence; Credit Scoring; Machine Learning; Model Interpretability; Explanation Consistency Framework AbstrakPenelitian ini bertujuan untuk meningkatkan transparansi model pembelajaran mesin dalam penilaian kredit menggunakan berbagai metode Explainable Artificial Intelligence (XAI). Metode yang digunakan antara lain SHAP, BRCG, ALE, Anchor, dan ProtoDash untuk menjelaskan hasil prediksi model pembelajaran mesin yaitu regresi logistik, XGBoost, dan random forest. Penelitian ini menggunakan pendekatan kuantitatif dengan metode komparatif, dimana data pengajuan pinjaman Ceria dari Bank Rakyat Indonesia (BRI) dianalisis menggunakan model machine learning, kemudian dievaluasi menggunakan Explanation Consistency Framework (ECF). Hasilnya menunjukkan bahwa metode XAI dapat meningkatkan pemahaman keputusan model, dengan SHAP dan ALE efektif untuk penjelasan global, sementara Anchor dan ProtoDash memberikan wawasan mendalam pada tingkat individu. Evaluasi menggunakan ECF menunjukkan bahwa metode post-hoc memiliki konsistensi yang tinggi, meskipun Anchor memiliki keterbatasan pada aspek identitas aksioma. Kesimpulannya, metode XAI dapat membantu meningkatkan kepercayaan dan transparansi dalam credit scoring di BRI.Kata Kunci: Explainable Artificial Intelligence; Credit Scoring; Machine Learning; Model Interpretability; Explanation Consistency Framework

SISTEM INFORMASI MANAJEMEN SANGGAR TARI BERBASIS WEB Hartono, Budi; Toni Wijanarko Adi Putra; Endro
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 14 No. 2 (2023): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v14i2.652

Kesenian khususnya tari dan karawitan dipraktekkan di kota Semarang. Pendataan siswa Sanggar Greget masih menggunakan cara manual yaitu dicatat di atas kertas, sehingga ada banyak data yang hilang. Dari permasalahan yang ada maka perlu dibangun sistem informasi manajemen pada Sanggar tari Greget berbasis web dengan menggunakan PHP, CSS, CI Framework, database MySQL dan Free Template AdminLTE. Metode yang digunakan dalam karya ini adalah wawancara, observasi dan studi literatur. Metode SDLC (Software Development Life Cycle) merupakan metode pengembangan sistem yang dapat digunakan dalam penelitian ini. Dari hasil penelitian ini dikembangkan sistem informasi berbasis web yang diharapkan dapat mempermudah dalam pengolahan data siswa di Greget Studio. Kata kunci: Sistem informasi, bengkel Greget, SDLC, PHP

MACHINE LEARNING TECHNIQUE FOR CREDIT CARD SCAM DETECTION Fujiama Diapoldo Silalahi; Toni Wijanarko Adi Putra; Edy Siswanto
Journal of Technology Informatics and Engineering Vol. 1 No. 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.143

Credit Card (CC) scam In financial markets is a growing nuisance. CC scams increasing rapidly and causing large amounts of financial losses for organizations, governments, and public institutions, especially now that all payment methods for e-commerce shopping can be done much more easily through digital payment methods. For this reason, the purpose of this study is to detect scam CC transactions from a given dataset by performing a predictive investigation on the CC transaction dataset using machine learning techniques. The method used is a predictive model approach, namely logistic regression models (LR-M), random forests (RF), and XGBoost combined along particular resampling techniques that have been practiced to anticipate scams and the authenticity of CC transactions. Model performance was calculated grounded Re-call Curve (RC), precision, f1-score, PR, and ROC. The experimental results show that the random forest in combination with the hybrid resampling approach of SMOTE and removal of Tomek Links works better than other models. The random forest model and XGBoost accomplished are preferred over the LR-M as long as their global f1 score is without re-sampling. This demonstrates the strength of one technique that can provide greater achievement alike in the existence of class inequality dilemmas. Each approach, at the same time when used with Ran-Under, will give a great memory score but fails cursedly in the language of accuracy. Compared to the coordinate model sine re-sampling, the accuracy and RS are not repaired in cases where Tomek linker displacement was used. RF and xgboost perform quite well in terms of f1-S when Ran-Over is used. SMOTE increases the random forest draw score and xgboost but the precision score (PS) decreases slightly. Completely, during a hybrid solution of Tomek delinker and SMOTE was practiced with random forest, it gave equitable attention and RS in the PR-AUC. XGboost failed to increase the PS even though the same re-sampling technique was used. For future research, a fee-delicate study method can be applied as long as fee misclassifications. So for future research, it is very necessary to consider this behavior change and it is also very important to develop predictive models. In addition to this, much larger data is needed so that detailed studies on handling non-stationary properties in CC scam detection can be carried out better.

Document Security System Using Arduino-Based Fingerprint And Rfid Module Mohamad Irkam; Toni Wijanarko Adi Putra
Journal of Technology Informatics and Engineering Vol. 2 No. 1 (2023): April : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v2i1.174

Documents are valuable/important letters that can be used as evidence of printed or written information. The company where the author conducted research is a company operating in the logistics sector, which of course has a special document storage room, namely the Accounting room . The use of plastic folders containing documents and safes as a place to store important documents and files still carries a lot of risk of misuse and loss. The title of this research is Document Security System Using Arduino- Based Fingerprint and RFID Modules . One of the aims of this research is to minimize loss and prevent misuse of documents/files placed in plastic folders. A security system using fingerprint and RFID is very good to apply as document security because it has double security. The system created uses a fingerprint as a signal breaker or RFID tag electromagnetic waves which are attached to a folder containing important documents/files belonging to the company. This system is also supported by an Arduino kit Uno with an Atmega328 microcontroller as the brain for processing data from the fingerprint sensor and RFID Reader functions as an electromagnetic wave identification system for RFID Tags , therefore two pieces of hardware are needed, called Tags and Readers . Apart from the three main components mentioned, there are several other components used in making this document security system, namely micro SD kit, buzzer, push button, servo . Creating this system is very important to limit misuse of documents and the risk of losing documents in a company.

Utilizing phpMyAdmin for System Design in Enterprise Administration Wibowo, Mars Caroline; Wijanarko Adi Putra, Toni
Journal of Technology Informatics and Engineering Vol. 3 No. 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.193

In today's digital landscape, effective data management is essential for organizations, particularly small and medium-sized enterprises (SMEs) that often struggle with traditional manual methods, leading to inefficiencies and data inaccuracies. This research aims to investigate the implementation of phpMyAdmin, a web-based database management tool, to enhance administrative systems within SMEs. The study employs a mixed-methods approach, integrating qualitative case studies and quantitative surveys to gather comprehensive insights into user experiences and operational performance. The findings reveal that the adoption of phpMyAdmin significantly improves data management efficiency, with 75% of respondents expressing satisfaction with its user-friendly interface. However, challenges such as security vulnerabilities and the necessity for user training were also identified, indicating that while phpMyAdmin offers substantial benefits, organizations must address these issues to fully leverage their capabilities. The implications of this research suggest that SMEs should prioritize investing in user training and implementing robust security measures to mitigate risks associated with data management. By doing so, organizations can enhance their operational efficiency and decision-making processes. Future research should focus on the long-term impacts of phpMyAdmin and explore its integration with other management systems to further optimize organizational performance.

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