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All Journal INTECOMS: Journal of Information Technology and Computer Science Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Informatika dan Komputer BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer International Journal Software Engineering and Computer Science (IJSECS) Abdi Jurnal Publikasi Jurnal PERKUSI: Pemasaran, Keuangan dan Sumber Daya Manusia OKTAL : Jurnal Ilmu Komputer dan Sains Karimah Tauhid JUTIKA
Taswanda Taryo
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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Pengaruh Promosi Terhadap Keputusan Pembelian Konsumen pada PD Subur Makmur Semesta Furniture di Pondok Aren Tangerang Selatan Sukma Hadi; Ishlah Ramadhanti; Anang Tri Wahyudi; Saripudin Saripudin; Taswanda Taryo
Jurnal Ilmiah PERKUSI Vol 2, No 4 (2022): PERKUSI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/j.perkusi.v2i4.25285

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh promosi terhadap keputusan pembelian pada PD Subur Makmur Semesta Furniture  di Pondok Aren Tangerang Selatan.Metode yang digunakan adalah explanatory research dengan sampel sebanyak 100 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis.Hasil penelitian ini variabel promosi diperoleh rata-rata skor sebesar 3,415 dengan kriteria baik. Variabel keputusan pembelian diperoleh rata-rata skor sebesar 3,840 dengan kriteria baik. Promosi berpengaruh signifikan terhadap keputusan pembelian  dengan persamaan regresi Y = 9,527 + 0,845X, dan nilai korelasi 0,774 atau kuat dengan determinasi 59,9%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
Peranan PT Pegadaian Area Tangerang Selatan Dalam Pembiayaan Produk Kreasi Untuk Penanganan Kredit Nasabah UMKM Serta Mengembangkan Usaha Nasabah Pelaku UMKM Kota Tangerang Selatan di Era Pandemi Covid-19 Fajar Yoga Pradana; Novan Nurviyaddin; Erni Nila Sari; Sulastri Sulastri; Taswanda Taryo
Jurnal Ilmiah PERKUSI Vol 2, No 2 (2022): PERKUSI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/j.perkusi.v2i2.19605

Abstract

Jurnal ini mengulas tentang peranan PT Pegadaian Tangerang Selatan dalam pembiayaan produk kreasi untuk penanganan kredit nasabah UMKM serta mengembangkan usaha nasabah pelaku UMKM di era pandemi Covid 19. Penelitian ini bertujuan untuk mengetahui bagaimana peran dan fungsi PT Pegadaian sebagai lembaga perkreditan dalam upaya membantu dan mengembangkan usaha para nasabah. Jenis penelitian ini adalah penelitian kualitatif dengan mengambil lingkup penelitian pada peran pembiayaan produk kreasi dan dampak penyaluran kredit ditengah pandemi. Teknik pengambilan data yaitu teknik purposive dan triangulasi. PT Pegadaian sebagai salah satu BUMN memiliki peran dan fungsi antara lain berpartisipasi membantu program pemerintah dalam rangka meningkatkan kesejahteraan masyarakat kecil dan menengah khususnya pelaku UMKM melalui layanan produk pegadaian kreasi. Selain itu pegadaian Tangerang Selatan juga memberikan bantuan bantuan berupa penundaan kewajiban pembayaran selama 3 sampai 6 bulan. PT Pegadaian Tangerang Selatan juga aktif mengadakan pelatihan dan webinar untuk para nasabah dengan tujuan agar usaha mereka dapat terus maju dan berkembang).
Pengaruh Promosi dan Kualitas Produk Terhadap Keputusan Pembelian pada Marketplace Shopee Konsumen di Ciputat Sindy Saputri; Yansen Paseru; Risma Apriyani; Taryari Taryari; Taswanda Taryo
Jurnal Ilmiah PERKUSI Vol 2, No 3 (2022): PERKUSI
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/j.perkusi.v2i3.23902

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh promosi dan kualitas produk terhadap keputusan pembelian pada Marketplace Shopee konsumen di Ciputat.Metode yang digunakan adalah explanatory research dengan teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis.Hasil penelitian ini promosi berpengaruh signifikan terhadap keputusan pembelian sebesar 40,8%, uji hipotesis diperoleh t hitung > t tabel atau (8,055 > 1,986). Kualitas produk berpengaruh signifikan terhadap keputusan pembelian sebesar 41,3%, uji  hipotesis diperoleh t hitung > t tabel atau (8,133 > 1,986). Promosi dan kualitas produk secara simultan berpengaruh signifikan terhadap keputusan pembelian dengan persamaan regresi Y = 11,439 + 0,354X1 + 0,370X2 dan kontribusi pengaruh sebesar 50,3%, uji hipotesis diperoleh F hitung > F tabel atau (47,083 > 2,700).
Pengembangan Keamanan Dan Jaringan Pada System Windows Mengunakan Metode Hardening (Studi Kasus : PT. Shiva Shakti Steel) Moh. Triyana Abbas; Taswanda Taryo; Murni Handayani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In the current digital era, security and network are very important in a system to support all activities in the world of work, especially for offices. In this case the windows system at PT. Shiva Shakti Steel is currently still slow, supporting application performance feels slow, and network security is still vulnerable. PT. Shiva Shakti Steel is a company that uses technology and information, using the internet network on a windows system, which is expected to help management to process and present data and information effectively, quickly, and accurately. The purpose of his research is expected to accelerate the performance of the windows system, supporting applications and network security. In this study, the data analysis technique that the researcher uses is the hardening system method. Hardening system refers to providing various means of protection in a computer system. Protection is provided in multiple layers, and is often referred to as deep defense. Protecting in layers means protecting at host level, application level, operating system level. According to John D. Howard in his book "An Analysis of security incidents on the internet" states that: "Computer security is a preventive measure from attacks by computer users or irresponsible network accessors". Meanwhile, according to Gollmann in 1999 in his book "Computer Security" states that: "Computer security is related to selfprevention and detection of unrecognized intruders in computer systems". From the results of the analysis of vulnerability testing carried out, namely testing system and network security on windows systems using the hardening method at PT. Shiva Shakti Steel, it can be concluded that the hardening system method was chosen because this is the initial foundation for the system, so that it can solve some of the problems that exist in the system.
Analisis dan Implementasi Honeypot Honeyd Sebagai Low Interaction Terhadap Serangan Distributed Denial Of Service (DDOS) dan Malware Ubaidillah Ubaidillah; Taswanda Taryo; Achmad Hindasyah
Jurnal Teknologi Informasi dan Multimedia Vol. 5 No. 3 (2023): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v5i3.405

Abstract

Every computer device connected to a wide computer network is vulnerable to security risks. These threats encompass vulnerabilities to data, information, resources, and services within the system. These threats include intrusion, eavesdropping, theft of vital data, as well as damage to the network system. These actions are carried out by parties who are not accountable, commonly referred to as intruders or attackers. One method to prevent or anticipate these malicious actions is by utilizing the honeyd Honeypot technique. The honeyd Honeypot adopts a low-interaction approach, which involves indirect interaction with attackers. This Honeypot serves as a decoy or simulated server intentionally presented as a target for attacks. The purpose of this Honeypot is to detect and analyze ongoing attacks. In this research, the honeyd Honeypot is implemented as a simulated server resembling an authentic server. This server provides various services and opens several ports deliberately prepared as attack targets, such as Port 139, and Port 21.The results of this research unveil the existence of attacks. Signs of these attacks include a surge in network traffic, reaching up to 100 Megabits above the normal level. Another indicator is a sudden spike in CPU usage, reaching 100%. The activities of these attacks can be analyzed through the installed Wireshark application on the Honeypot server. Information obtained from this analysis encompasses details about the attacker's activities, enabling more effective preventive, anticipatory, and corrective measures. These steps encompass securing the server, network system, and existing services.
Advanced Persistent Threats Analysis and Intrusion Detection Systems Evaluation Dedy Wibowo; Taswanda Taryo; Ferhat Aziz
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5770

Abstract

- Advanced Persistent Threats are significant cybersecurity threats that employ covert and strategically planned operations to achieve long-term unauthorized access and data exfiltration. PT XYZ, a logistics company with considerable operational and customer data, is more susceptible to APTs, which is why the company decided to implement Wazuh as an open-source SIEM platform for improved intrusion detection capabilities. We assessed how effectively this IDS-SIEM implementation could detect and respond to APT scenarios by analyzing multi-source logs from Wazuh, Sysmon, and endpoint telemetry across PT XYZ’s PC infrastructure between June 3-30, 2025—capturing 35,333 records in total. Simulated APT attacks were carried out using Atomic Red Team with detection mapping based on MITRE ATT&CK tactics. Most of the early stages of attack phases were identified by Wazuh particularly Initial Access and Execution phases where the system logged 1,060 true positives; 8,537 true negatives; 563 false positives; and 440 false negatives at an accuracy rate of 91%. Normal traffic detection results were good with a precision of 0.95, recall of 0.94 F1-score at the same value whereas attack detection had a precision value of 0.65 with a recall of 0.71 giving it an F1 score of 0.68 making macro-averaged metrics fall at values such as 0.80 for precision and 0.82 for recall which further brought the F1 score up to 0.81 while weighted averages peaked at 0.91.Our results indicate that an open-source SIEM like Wazuh can be used effectively for the detection of APTs in logistics operations when configured appropriately using MITRE ATT&CK-based threat simulations – hence having real-world applicability towards improving cybersecurity defenses within this sector.
EVALUASI TINGKAT KEAMANAN SERVER LINUX UBUNTU MELALUI PENERAPAN CIS BENCHMARKS, OPENVAS, DAN LYNIS SEBAGAI UPAYA MITIGASI VEKTOR SERANGAN Mohammad Bahtiar; Taswanda Taryo; Ferhat Aziz
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 2 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/ht1ydz84

Abstract

Server berbasis Linux Ubuntu rentan terhadap berbagai vektor serangan siber akibat konfigurasi bawaan yang berorientasi pada fungsionalitas daripada keamanan. Penelitian ini mengevaluasi tingkat keamanan server Ubuntu Linux 24.04 LTS melalui penerapan CIS Benchmarks v1.0.0, menggunakan OpenVAS untuk pemindaian kerentanan eksternal dan Lynis untuk audit konfigurasi internal, dengan pendekatan eksperimental pre-test/post-test pada lingkungan virtual VMware yang terisolasi. Implementasi mencakup 147 kontrol CIS pada 8 domain keamanan secara iteratif. Hardening Index (HI) Lynis meningkat dari 60 menjadi 83 (+23 poin, +38,3%), melampaui target minimum HI >= 80. Seluruh 3 kerentanan OpenVAS -- ICMP Timestamp Reply Information Disclosure (CVE-1999-0524), TCP Timestamps Information Disclosure, dan Weak MAC Algorithm(s) Supported pada SSH -- berhasil dieliminasi sepenuhnya (100%). Kedua warnings Lynis tereliminasi dan suggestions berkurang dari 32 menjadi 11 (65,6%). Penelitian ini menyediakan bukti empiris pertama untuk kombinasi Ubuntu 24.04 LTS + CIS v1.0.0 + dual-scanner (OpenVAS + Lynis) dalam desain pre/post-test terstruktur, sekaligus panduan hardening berbasis data bagi administrator sistem.
Analisis Prediksi Permintaan Produk FMCG menggunakan Model LSTM dan DES Untuk Optimalisasi Operasional Gudang Distribusi Tanti Cahya Herdiyani; Taswanda Taryo; Kahfi Heryandi Suradiradja; Zafira Salsabilah
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September (In Progress)
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.213

Abstract

The Fast-Moving Consumer Goods (FMCG) sector is characterized by rapid product turnover and short shelf lives, requiring effective inventory management. Companies such as PT Macrosentra Niagaboga face challenges in maintaining stock availability. Although the inventory system has been integrated, stock verification is still conducted manually, requiring adaptive management to minimize the risk of overstock and stockout. Therefore, this study aims to develop a demand forecasting model using the Long Short-Term Memory (LSTM) algorithm integrated with Discrete-Event Simulation (DES) to optimize inventory management. The study utilized historical shipment data from May 2025 to January 2026. Preprocessing included data cleansing, date validation, and aggregation into daily and weekly data. Forecasting results were subsequently used as inputs for the DES simulations to determine optimal inventory policies. The results demonstrated that weekly LSTM aggregation was more accurate and stable than daily aggregation, as evidenced by a reduction in WAPE from 49.9% to 16.94% for high-demand products. Furthermore, integration with DES reduced stock levels by more than 30% using a safety stock ratio of 0.7 without compromising service levels. Finally, the proposed model was implemented in a web-based dashboard serving as a decision support system for monitoring forecasting and inventory policy recommendations.
Aero Surveymeter Sebagai Instrumen Pemetaan Paparan Radiasi Gamma Lingkungan Menggunakan Drone Berbasis Detektor Geiger Muller Endang Subarna; Makhsun; Taswanda Taryo
Jurnal Unggul Teknologi dan Informatika (JUTIKA) Vol 1 No 1 (2025): Jurnal Unggul Teknologi dan Informatika - Desember
Publisher : YAYASAN KAYYIS MULIA JAYA

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Abstract

Penelitian ini meneliti penggunaan Aero Survey Meter sebagai instrumen yang efisien dalam pemetaan paparan radiasi gamma di lingkungan, dengan memanfaatkan teknologi drone dan detektor geiger muller. detektor geiger muller adalah alat deteksi radiasi yang dipasang pada drone, memungkinkan pengambilan data radiasi dari lokasi yang sulit dijangkau dengan cara konvensional. Dengan menggunakan drone, pemantauan radiasi menjadi lebih efisien dan akurat, serta mengurangi risiko kepada manusia dalam pengambilan data di area berbahaya. Tujuan penelitian ini adalah untuk mengevaluasi efektivitas metode pemetaan radiasi menggunakan Aero Survey Meter dengan menggunakan drone dan detektor geiger muller. Uji coba dilakukan di berbagai kondisi lingkungan untuk membandingkan hasil yang diperoleh dengan teknik pemetaan radiasi tradisional. Dalam penelitian ini, perhatian khusus diberikan pada aspek akurasi, efisiensi waktu, dan keselamatan operasional selama proses pengambilan data. Hasil penelitian menunjukkan bahwa penggunaan kombinasi Aero Survey Meter dengan drone dan detektor Geiger-Muller dapat mempermudah proses pemetaan di lingkungan yang sulit dijangkau. Salah satu keunggulan utama dari penggunaan drone adalah kemampuan untuk melakukan pengukuran radiasi pada berbagai ketinggian, tidak hanya di permukaan. Hal ini memungkinkan pemetaan paparan radiasi yang lebih detail, termasuk di area-area yang tinggi atau sulit dijangkau dengan cara konvensional, dan memberikan gambaran yang lebih lengkap tentang distribusi radiasi di seluruh area. Selain itu, metode ini juga mempercepat proses pengambilan data, yang merupakan keuntungan besar dibandingkan metode tradisional yang lebih memakan waktu. Penerapan teknologi ini diharapkan dapat berkontribusi pada pengembangan metode pemantauan radiasi yang lebih efektif dan peningkatan manajemen risiko radiasi di masa mendatang. Dengan pemanfaatan teknologi mutakhir dalam survei radiasi, diharapkan masyarakat dan lembaga terkait dapat lebih siap dalam menghadapi isu terkait radiasi di lingkungan mereka.
PENGENALAN KEAMANAN DIGITAL DAN PEMANFAATAN AI SECARA BIJAK BAGI SISWA-SISWI Taswanda Taryo; Achmad Hindasyah; Nilovar Asyiah
Abdi Jurnal Publikasi Vol. 4 No. 3 (2026): Januari
Publisher : Abdi Jurnal Publikasi

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Abstract

The rapid development of digital technology and Artificial Intelligence (AI) has had a significant impact on daily life, including in the field of education. Students are now able to utilize various AI-based applications to support learning processes, access information quickly, and enhance creativity. However, alongside these positive opportunities, there are risks that cannot be ignored, such as low levels of digital security literacy, vulnerability to cybercrime, and the potential misuse of AI technology. In response to these conditions, this Community Service Program (Pengabdian kepada Masyarakat/PKM) is designed to provide an introduction to digital security and the wise use of AI for students. The activities focus on increasing awareness of the importance of protecting personal data, promoting ethical behavior in digital media usage, and improving understanding of responsible AI utilization. In addition, the program introduces various examples of AI applications that support learning, enabling students to understand both the benefits and risks of AI technology. The implementation methods include interactive material presentations, group discussions, case studies related to digital security, and hands-on practice using simple AI applications. Through this approach, students are expected to more easily understand the concepts presented and apply them in their daily lives.With the implementation of this PKM program, students are expected to develop better digital security literacy as well as the skills to utilize AI wisely, ethically, and productively, thereby becoming better prepared to face the challenges of the digital era.  
Co-Authors Achmad Hindasyah Ali Zaenal Abidin Anang Tri Wahyudi Anggai, Sajarwo Dedy Wibowo Endang Subarna Erni Nila Sari Fajar Yoga Pradana Ferhat Aziz Hendra Rahman Ishlah Ramadhanti Kahfi Heryandi Suradiradja Kamsidik Makhsun Masniari Samosir Moh. Triyana Abbas Mohammad Bahtiar Murni Handayani Nilovar Asyiah Novan Nurviyaddin Risma Apriyani Saripudin Saripudin Sindy Saputri Sudarno Wiharjo Sukma Hadi Sulastri Sulastri Tanti Cahya Herdiyani Taryari Taryari Ubaidillah Ubaidillah Yansen Paseru Zafira Salsabilah