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Implementasi Agile Scrum Dalam Pengembangan Bioskop Online Berbasis Website Aldy Fadilla, Muhammad; Adji Sodikin, Damar; Arjunal Akmal, Refido; Purnomo, Andi
Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi Vol. 3 No. 1 (2024): Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi 2024
Publisher : Fakultas Teknik dan Teknologi - TANRI ABENG UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/snarstek.v2i1.574

Abstract

Agile project management merupakan pengelolaan proyek yang berfokus pada kolaborasi, fleksibilitas, dan keterbukaan terhadap perubahan. Agile project management berasumsi bahwa setiap proyek pasti memiliki tingkat ketidakpastian (incertitude) yang tinggi sehingga membutuhkan pendekatan fleksibel untuk mengatasinya. Salah satu metode yang digunakan pada Agile Project Management adalah menggunakan metode Scrum. Metode Scrum merupakan metodologi yang termasuk dalam agile software development. Scrum dinilai dapat menghasilkan kualitas perangkat lunak yang baik sesuai dengan keinginan pengguna, dapat digunakan dalam proyek besar maupun kecil, dan mudah untuk mengadopsi perubahan. Scrum memiliki tahapan yang terstruktur dan bersifat perulangan, sehingga jika produk pada sprint pertama belum cukup memenuhi kebutuhan, maka pada sprint berikutnya dapat dikembangkan sistem yang sesuai dengan evaluasi pengguna. Dalam penelitian ini implementasi Agile Scrum dalam pengembangan bioskop online berbasis website membawa sejumlah manfaat yang signifikan. Metode ini memungkinkan pengembang untuk bekerja secara kolaboratif dan adaptif, menghasilkan iterasi cepat dan responsif dalam mengembangkan fitur-fitur yang relevan dengan kebutuhan pengguna. Dengan menggunakan Agile Scrum maka pekerjaan dalam sprint sangat terjadwal, memprioritaskan tugas serta menerima umpan balik dari pemilik produk dan pihak yang terkait.
Penerapan Fault Injection based Security Testing untuk Menemukan Potensi Celah Keamanan Indor pada Platform XYZ Purnomo, Andi; Hanafi, Faiz
FORMAT Vol 14, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i1.001

Abstract

Security Disclosure has become an important program in identifying and addressing vulnerabilities in software systems across various organizations and institutions by providing an opportunity for system testing through collaboration with external parties. This research aims to provide a deeper understanding of security disclosure through the Security Disclosure program on Platform XYZ, with a focus on Fault Injection techniques through parameter manipulation to discover IDOR (Insecure Direct Object Reference) vulnerabilities. The research begins by explaining the importance of the Security Disclosure program in the context of software security and system improvement. Furthermore, this study conducts testing on Fault Injection techniques through parameter manipulation, which is used to search for IDOR vulnerabilities on Platform XYZ. By manipulating input parameters, researchers can test the system by inducing unexpected behavior that can reveal sensitive information or grant unauthorized access to permissions. Case studies and real-world examples are used to demonstrate the effectiveness and impact of Fault Injection techniques in enhancing system security. The research findings have shown a high level of IDOR vulnerability with an impact on thousands of users. This research also highlights the importance of broader understanding of software security and security awareness for organizations and individual users. It is expected that this research will contribute to improving understanding of security disclosure and Fault Injection techniques through parameter manipulation, as well as promoting higher security awareness in protecting software systems from attacks and safeguarding sensitive user data on Platform XYZ.
Implementation of SVM Algorithm on Software Define Network to Detect and Mitigate DDOS Attacks on Network Servers purnomo, andi; Achyar, Avrijsto Amandri
FORMAT Vol 14, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i2.001

Abstract

Software Defined Network (SDN) is a network architecture that is very useful in the future where SDN can be used to manage network traffic on server networks. SDN can be implemented using a variety of controllers. In the controller the developer can configure it with various algorithms or other functions. At present, cyber crimes are increasingly numerous and dangerous. One of the most dangerous cyber attacks that is mostly carried out by both novice and professional hackers is the DDoS attack. DDoS attacks are aimed at crippling servers with server administration with multiple streams and packets. SDN as an architect for managing networks can be used to detect and counteract DDoS attacks so that servers are protected from these attacks. In this study researchers used SDN configured using the SVM algorithm to detect and mitigate DDOS attacks. In this study, the researchers obtained results where SDN with the SVM algorithm configuration obtained an accuracy rate of 99.67%. The SDN speed configured with the SVM algorithm does not exceed 0.30ms. Wireshark statistics show that SDN with the SVM algorithm configuration can stabilize and mitigate packets detected as DDOS.
Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier Pulungan, Mutiara Persada; Purnomo, Andi; Kurniasih, Aliyah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 5: Oktober 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024117989

Abstract

Kepribadian Myers-Briggs Type Indicator ( MBTI ) telah menjadi topik populer dalam memahami karakteristik individu dan dampaknya pada interaksi sosial, karir, dan pengambilan keputusan. Model Machine Learning dengan algoritma Naive Bayes Classifier sering digunakan untuk memprediksi kepribadian MBTI berdasarkan data Twitter. Namun, seringkali terjadi ketidakseimbangan kelas, dengan beberapa jenis kepribadian yang memiliki sampel lebih sedikit. Untuk mengatasi hal ini, penelitian ini menggunakan teknik Synthetic Minority Over-sampling Technique (SMOTE) untuk meningkatkan jumlah sampel pada kelas minoritas. Selain itu, metode Term Frequency-Inverse Document Frequency (TF-IDF) digunakan untuk mengekstraksi fitur penting dari teks. Penelitian ini bertujuan menerapkan teknik SMOTE untuk mengatasi ketidakseimbangan kelas dalam klasifikasi kepribadian MBTI menggunakan beberapa algoritma Naive Bayes Classifier, termasuk Gaussian, Multinomial, Bernoulli, Complement, dan Logistic Regression berdasarkan model Keirsey: Artisan, Guardian, Rational, dan Idealist. Evaluasi menggunakan metode Hold-Out-Validation dengan membagi data menjadi 90% data latih dan 10% data uji. Hasil evaluasi menunjukkan performa rendah algoritma Naive Bayes Classifier untuk kelas Artisan dan Guardian, tetapi baik untuk kelas Rational dan Idealist. Algoritma Logistic Regression memiliki akurasi tertinggi 80% dan performa yang lebih baik secara keseluruhan, meskipun masih rendah untuk kelas Artisan dan Guardian. Dengan demikian, penelitian ini memberikan pemahaman tentang penggunaan algoritma Naive Bayes Classifier dan teknik SMOTE dalam prediksi kepribadian MBTI, dengan potensi peningkatan kinerja melalui penggunaan algoritma Logistic Regression.   Abstract   Myers-Briggs Type Indicator (MBTI) personality is becoming a popular topic in understanding individual characteristics and their impact on social interaction, career, and decision-making. Machine Learning models with Naive Bayes Classifier algorithms are often used to predict MBTI personalities from Twitter data. However, there is often a class imbalance, with some personality types having a smaller sample. To overcome this, this study used the Synthetic Minority Over-sampling Technique (SMOTE) technique to increase the number of samples in minority classes. Additionally, the Term Frequency-Inverse Document Frequency (TF-IDF) method is used to extract important features from text. This study aims to apply SMOTE techniques to address class imbalances in MBTI personality classification using several Naïve Bayes Classifier algorithms, including Gaussian, Multinomial, Bernoulli, Complement, and Logistic Regression based on Keirsey's model: Artisan, Guardian, Rational, and Idealist. Evaluation using the Hold-Out-Validation method by dividing the data into 90% training data and 10% test data. The evaluation results showed low performance of the Naive Bayes Classifier algorithm for the Artisan and Guardian classes, but both for the Rational and Idealist classes. The Logistic Regression algorithm has the highest accuracy of 79% and better performance overall, although it is still low for the Artisan and Guardian classes. Thus, this study provides insight into the use of Naive Bayes Classifier algorithm and SMOTE technique in MBTI personality prediction, with potential performance improvement through the use of Logistic Regression algorithm.
Peran Artificial Intelligence dalam Deteksi Dini Ancaman Keamanan Jaringan Purnomo, Andi; Kurniasih, Aliyah; Nuarminah, Ahlijati; Hartati, Sri
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14356

Abstract

Keamanan jaringan komputer menghadapi tantangan yang semakin kompleks seiring dengan meningkatnya volume dan variasi ancaman, seperti serangan Distributed Denial of Service (DDoS), malware, dan eksploitasi kerentanan. Pendekatan tradisional dalam deteksi dan mitigasi ancaman sering kali tidak cukup responsif terhadap pola serangan yang dinamis dan canggih. Teknologi kecerdasan buatan (Artificial Intelligence/AI), khususnya Machine Learning (ML), menawarkan pendekatan baru yang lebih adaptif dan proaktif.Penelitian ini bertujuan untuk menganalisis peran AI dalam meningkatkan keamanan jaringan melalui penerapan berbagai algoritma ML, seperti Naïve Bayes Classifier, Support Vector Machine (SVM), Decision Tree, dan Random Forest. Pendekatan ini memungkinkan analisis data dalam jumlah besar secara real-time, identifikasi pola anomali, dan deteksi dini terhadap serangan yang belum teridentifikasi sebelumnya. Hasil tinjauan literatur menunjukkan bahwa algoritma Machne Learning mampu meningkatkan akurasi deteksi ancaman hingga 95% dalam berbagai studi kasus. Meskipun demikian, beberapa tantangan masih dihadapi, seperti tingkat false positives yang tinggi, keterbatasan data pelatihan, dan kebutuhan infrastruktur yang signifikan. Untuk mengatasi tantangan ini, diperlukan pengembangan algoritma yang lebih efisien serta integrasi AI dengan teknologi lain, seperti blockchain dan Software-Defined Networking (SDN).Penelitian ini menyimpulkan bahwa AI memiliki potensi besar untuk menjadi komponen kunci dalam strategi keamanan jaringan modern, dengan memberikan solusi yang lebih cepat, akurat, dan skalabel dalam mendeteksi dan merespons ancaman keamanan siber.
Analisis Peramalan Permintaan dan Persediaan Produk Baut Menggunakan Metode Time Series dan Safety Stock di PT. DRA Component Persada Zulziar, Marjuki; Purnomo, Andi; Sarwoko, Wanto
JITMI (Jurnal Ilmiah Teknik dan Manajemen Industri) Vol. 8 No. 1 (2025): JITMI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jitmi.v8i1.y2025.p82-92

Abstract

DRA Component Persada is a manufacturing company that produces various types of bolts. The main problem faced by companies is unstable fluctuations in demand, so that sometimes there is a buildup of stock or a shortage of inventory in the warehouse. The aim of this research is to analyze forecasting demand and supply of bolt products at PT. Dra Component Persada. To overcome this, this research uses the Time Series forecasting method which includes Moving Average, Weight Moving Average, and Exponential Smoothing to determine future demand and the Safety Stock method to overcome demand instability. From the results of calculations carried out by the author, the Exponential Smoothing model with a = 0.2 is the optimal forecasting model with the smallest error level, namely with a Mean Absolute Deviation (MAD) of 1,218,085, a Mean Squared Error (MSE) of 1,886,215,000,000 , and the Mean Absolute Percentage Error (MAPE) is 2.74%. The forecast for the coming period is predicted to be 4,440,637 pcs, while the safety stock required is 393,215 pcs with a service level of 95%. It is hoped that the application of forecasting and safety stock methods can increase stock management efficiency and better meet customer needs.  
Coworking Space and Library with a Humanist Architectural Approach Hangin, Afra Akwila; Setyowati, Wiwit; Purnomo, Andi; Pratiwi, Isna
TERRACE: JOURNAL OF ARCHITECTURE & URBAN STUDIES Vol 2 No 1 (2025): January
Publisher : Architecture Study Program, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jaus.v2i1.680

Abstract

Semarang City is one of the big cities, of course, has a population growth rate that increases every year. To improve the quality of the needs of community activity spaces, we currently need a container that can accommodate individual and group activities. Coworking Space and Library is a building that was built to be a social and informative forum for the community, especially in Semarang City. The Coworking Space and Library was built to overcome the decline in the level of reading and social life of the community using the Humanist Architecture Approach, it is hoped that this can give the impression of safety and comfort and function as expected. The method used is the descriptive method, carried out by collecting and analyzing data to obtain planning and design concepts. The Humanist Architecture Approach prioritizes the five basic human needs according to Abraham Maslow and the elaboration of the theory by Jhon Lang, namely Physiological Needs, Safety Needs, Belonging Needs, Esteem Needs, and Self Actualization Needs. The application of this theory can solve the problem of the achievement of the Coworking Space and Library building in Semarang City.
SOSIALISASI USULAN DESAIN BALAI RT.05/RW.01, KELURAHAN PETOMPON, KECAMATAN GAJAHMUNGKUR, SEMARANG Al-Ghin, Majora Nuansa; Santoso, Eko Budi; Purnomo, Andi; Setiawan, Moch Fathoni; Wicaksono, Dimas
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 1 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

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

Abstract

Balai merupakan sarana penting bagi masyarakat dalam pertemuan rutin. Kegiatan di Balai tidak hanya sebagai tempat pertemuan rutin, namun juga sebagai wadah warga setempat dalam bersosialisasi sehari-hari. Selama ini warga Kelurahan Petompon, Gajahmungkur, Semarang tidak mempunyai balai untuk pertemuan. Aktivitas warga untuk pertemuan rutin bulanan memanfaatkan rumah warga yang mendapat kesempatan jadi tuan rumah. Lokasi lahan sudah disediakan oleh pengurus RT. Bantuan desain ini meliputi pengumpulan data, analisa kebutuhan, perencanaan desain, dan pendampingan pada proses pembangunan. Bantuan desain ini merupakan inisiatif untuk memberikan usulan bentuk bangunan yang tepat sasaran dari segi bentuk, dan kebutuhan. Diharapkan dengan adanya bantuan desain Balai ini, masyarakat dapat memiliki balai yang sesuai dengan kebutuhan dan memiliki kualitas yang baik. Selain itu, pembangunan balai juga dapat memperkuat ikatan sosial antar warga di Kelurahan Petompon.
Rehabilitation Center for Teenage Victims of Drug Abuse Based on a Therapeutic Community (TC) in Banten Province with a Behavior Architecture Approach Mahardika, Rizki Umar; Purnomo, Andi; Setiawan, Moch Fathoni; Wibowo, Ardiyan Adhi
Canopy: Journal of Architecture Vol. 13 No. 1 (2024): Canopy Journal, July 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/canopy.v13i1.9326

Abstract

The increasing number of drug abuse cases in Indonesia, particularly among teenagers, indicates that government prevention measures have not been fully effective, as many areas lack adequate rehabilitation centers. These centers are essential for helping victims recover from addiction and reintegrate into society, serving both rehabilitative and preventive functions. Banten Province has several rehabilitation centers, but not all meet the necessary standards. This underscores the need for a specialized Drug Rehabilitation Center focused on teenagers, who are the majority of drug addiction victims. This center will utilize the Therapeutic Community (TC) model, where rehabilitants engage in social rehabilitation activities within their communities, and employ a Behavioral Architecture approach, which responds to users and their environment. The planning and design of this center will involve the analysis of primary and secondary data through five aspects: functional, contextual, technical, performance, and architectural. The Behavioral Architecture approach aims to create spaces that support the physical and mental healing of teenage drug addicts while being responsive to their needs. The analysis results will guide the subsequent design process.
CONVENTION HOTEL WITH BIOPHILIC DESIGN APPROACH IN SEMARANG CITY Evelyna, Talitha Zalfa Evelyna; Santoso, Eko Budi; Purnomo, Andi; Savanti, Fisa
Canopy: Journal of Architecture Vol. 13 No. 2 (2024): Canopy Journal, December 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/q3bwax43

Abstract

The development and construction of Semarang City is increasing with many investors putting in capital or shares in various fields. Various approaches are taken to attract investors and tourists to Semarang City, one of which is by organizing MICE events. Semarang City is one of the 16 cities in Indonesia that has become a MICE destination. However, convention hotel accommodation in one region is still not evenly distributed and there is currently no venue that can accommodate 5,000 people. Therefore, planning and designing a convention hotel in Semarang City is a suitable solution to this problem. The biophilic design approach was considered as an answer to the problem of how hotels contribute to the largest energy use. Therefore, it is necessary to plan and design a convention hotel with a biophilic design concept that fulfills technical aspects, environmentally friendly, and positively impacts human health. This approach prioritizes a building concept that presents the connectivity of residents to the natural environment through the arrangement of interior spaces and landscaping. The design of Convention Hotel with biophilic design approach in Semarang City is used data in the form of primary and secondary data which is then analyzed and processed in functional, contextual, technical, performance, and architectural approaches. By analyzing and processing the data, recommendations and design solutions related to the Convention Hotel with a biophilic design approach in Semarang City will be obtained to support MICE events held in Semarang City.