Article Per Year (5 Year)
p-Index From 2021 - 2026
4.242
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal on Computing (Indo-JC) JIKO (Jurnal Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Aiti: Jurnal Teknologi Informasi Idealis : Indonesia Journal Information System J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Innovative: Journal Of Social Science Research Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science
Alz Danny Wowor
Universitas Kristen Satya Wacana
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Implementasi Algoritma Long Short-Term Memory dalam Prediksi Konsentrasi Gas Metana (CH4) di Kota Salatiga Putri, Febyola Kurnia Tiara; Wowor, Alz Danny
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 2 (2024): APRIL-JUNE 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i2.1917

Abstract

Implementation of the Long Short Term Memory (LSTM) algorithm is done to build a prediction model that can handle complex time series data. Model development uses training and testing data and combines multiple time series to improve prediction accuracy. Model testing is done by measuring the root mean square error (RMSE) value as a performance indicator. The test results show that the application of the LSTM algorithm to the (CH4) sensor provides an optimal RMSE value, namely with a value for training data of 20% (0.09) and test data of 80% (0.14), indicating the prediction accuracy of methane gas (CH4) concentration is potentially unexploded, the results obtained have important implications for safety monitoring. This test contributes to the development of predictive methods to monitor and manage potential risks associated with (CH4) concentrations. The application of LSTM to (CH4) sensors not only improves prediction accuracy but also opens up opportunities for the development of safety systems that can more effectively predict and prevent potentially harmful phenomena due to methane gas.
Chaos CSPRNG Design As a Key in Symmetric Cryptography Using Logarithmic Functions Nathanael, Hizkia; Wowor, Alz Danny
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.9265

Abstract

 This research uses the logarithm function as a key component in generating random numbers in the Chaos CSPRNG framework. The main problem addressed here is the generation of keys for cryptography, recognizing the important role of cryptographic keys in safeguarding sensitive information. By using mathematical functions, specifically logarithmic functions, as a key generation method, this research explores the potential for increasing the uncertainty and strength of cryptographic keys.The proposed approach involves the systematic utilization of various mathematical functions to generate diverse and unpredictable data sets. This data set, derived from the application of logarithmic functions, serves as the basis for generating random numbers. Through a series of tests such as Randomness Test and Cryptography Test, this research shows that the data generated from these functions can be utilized effectively as a reliable source for generating random numbers, and has a low correlation value, thereby contributing to the overall security of a symmetric cryptographic system.
RANDOMNESS IDENTIFICATION VIA XOR REPOSITION IN LFSR A5/1'S SECOND BLOCK Pallangan, Jorghie Theodore; Wowor, Alz Danny
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 3 No. 4 (2024): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v3i4.1451

Abstract

This study designs a random number generation method using the LFSR approach with the A5/1 scheme on three feedback functions. XOR is used as an operation in determining the value of the new bit output against the next iteration of the feedback function. Runs Test, Mono Bit, and Block bit, are used as test materials in producing random output against an input. The use of three feedback functions is used in testing, compared to previous studies that produce random numbers. In the plaintext and ciphertext encryption tests, it shows a "Very Small" correlation level with an average value approaching 0. The use of the LFSR A5/1 scheme with three XOR functions produces random output and can be used for Stream Cipher.
Perancangan Distribusi Hasil Produk Textil dengan Rute Terdekat dengan Algoritma Greedy Wibowo, Alvin Cahyo; Wowor, Alz Danny
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.592

Abstract

Delivery is one of the keys to a business because if there is no delivery, the work or flow of a business will be disrupted. The textile industry is one of many industries that really need delivery services with the closest route in order to save time. Greedy algorithm is an algorithm that is heuristic and its logical sequence is arranged based on problem solving steps that are arranged systematically. This study aims to design the distribution of textile products with the closest route using the Greedy Algorithm with a case study of CV. Karya Cahaya Lestari with the benefit of speeding up delivery times and helping drivers to save travel time. The final result of designing the distribution of textile products is in the form of a graph, specifically the Directed Graph, a map like the one in the picture basically only shows interconnected points, with a certain distance at each point..
Optimalisasi Database Mysql Pada Sistem Perancangan Sistem Housekeeping Transaction History Dengan Pentaho Data Integration Simanjuntak, Yohanes Albryan; Wowor, Alz Danny
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 6, No 1 (2025): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v6i1.542

Abstract

The volume of transaction data in the banking industry is growing with the increase in customers and transaction complexity. Ineffi-cient data management can lead to server overload, affect system performance, and hinder the delivery of fast, accurate services. Housekeeping processes are needed to move inactive data to sepa-rate storage, allowing the main server to function more efficiently. Pentaho Data Integration (PDI) offers an effective solution for man-aging the ETL (Extract, Transform, Load) process, which is crucial for data housekeeping. This research aims to optimize the manage-ment of banking transaction data using PDI to reduce server load and improve operational efficiency. This quantitative study applies an experimental method, with the ETL process managing Bank XYZ’s transaction data older than six months. The study uses trans-action data from Bank XYZ’s MySQL server, which will be trans-ferred to a data warehouse. The analysis applies clustering algo-rithms to filter and separate active from inactive transactions. The implementation of PDI for housekeeping effectively reduces server load and improves data management efficiency, significantly lower-ing processing time. The combined use of clustering algorithms and PDI delivers substantial improvements in managing banking transac-tion data, enhancing operational efficiency while significantly re-ducing the load on the main server
Perancangan Distribusi Hasil Produk Textil dengan Rute Terdekat dengan Algoritma Greedy Wibowo, Alvin Cahyo; Wowor, Alz Danny
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.592

Abstract

Delivery is one of the keys to a business because if there is no delivery, the work or flow of a business will be disrupted. The textile industry is one of many industries that really need delivery services with the closest route in order to save time. Greedy algorithm is an algorithm that is heuristic and its logical sequence is arranged based on problem solving steps that are arranged systematically. This study aims to design the distribution of textile products with the closest route using the Greedy Algorithm with a case study of CV. Karya Cahaya Lestari with the benefit of speeding up delivery times and helping drivers to save travel time. The final result of designing the distribution of textile products is in the form of a graph, specifically the Directed Graph, a map like the one in the picture basically only shows interconnected points, with a certain distance at each point..
Identifikasi Nilai Keacakan Berdasarkan Reposisi Fungsi XOR Pada Blok Kedua LFSR A5/1 Pallangan, Jorghie Theodore Kenzo; Wowor, Alz Danny
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6112

Abstract

This research plans a random number generation method using the Linear Feedback Shift Register (LFSR) method with the A5/1 scheme which involves three feedback functions. XOR is used to determine the new output bit value in the next iteration in the feedback mechanism. The test material produces random output for an input using Run Test, Mono Bit, and Block bit. Tests using three feedback functions were carried out to compare with previous research which generated random numbers. Testing of plaintext and ciphertext encryption shows a very small level of correlation with an average value close to 0. The use of LFSR with the A5/1 scheme which involves three XOR functions, creates random output and can be used against Stream Chipers.
Integrasi Tangga Nada Diatonis Mayor pada Kriptografi dalam Merancang Skema Transposisi Widiana, Kadek; Wowor, Alz Danny
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 2 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i2.1921

Abstract

Di era digital yang semakin maju, keamanan data menjadi aspek krusial yang memerlukan perhatian serius. Metode transposisi yang digunakan pada algoritma AES dan DES memiliki kerentanan pada indeks transposisinya membentuk pola dan tidak sepenuhnya acak, sehingga berpotensi memudahkan kriptanalis mencari relasi cipherteks. Penelitian ini mengeksplorasi pendekatan baru dalam merancang skema transposisi pada algoritma square transposition dengan mengintegrasikan teori musik, khususnya tangga nada diatonis mayor kedalam kotak skema. Pendekatan ini diharapkan menghasilkan pola transposisi yang unik dan lebih acak. Penelitian ini merancang kotak skema diatonis mayor sebagai acuan dalam mengatur urutan indeks dan memodifikasi tiga skema yang digunakan pada penelitian terdahulu, yaitu skema papan catur, spiral dan cermin. Pola pada ketiga skema tersebut diimplementasikan ke dalam kotak skema diatonis mayor, sehingga urutan indeks yang dihasilkan menjadi berbeda. Nilai keacakan dan korelasi yang dihasilkan pada modifikasi skema tersebut dibandingkan dengan hasil pengujian penelitian terdahulu. Diperoleh bahwa dari dua modifikasi skema tersebut menghasilkan uji keacakan dan uji korelasi yang lebih baik. Penelitian ini menunjukkan bahwa penggabungan konsep musik ke dalam algoritma square transposition merupakan pendekatan baru yang menjanjikan.
IMPLEMENTASI ALGORITMA FACE RECOGNITION MENGGUNAKAN FACE-API.JS PADA SISTEM VERIFIKASI SIM DIGITAL BERBASIS WEB Bakar, Theis Huyo Rooney; Wowor, Alz Danny
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 2 (2025): Jurnal IDEALIS Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i2.3546

Abstract

Digitalisasi Surat Izin Mengemudi (SIM) melalui aplikasi SINAR di Indonesia menghadirkan tantangan baru terkait keakuratan verifikasi identitas. Sistem verifikasi konvensional yang mengandalkan pemeriksaan visual dokumen fisik rentan terhadap pemalsuan dan manipulasi data. Proses verifikasi manual memerlukan waktu lama dan tidak memberikan tingkat akurasi yang konsisten. Kebutuhan sistem verifikasi yang lebih aman dan efisien menjadi mendesak untuk mencegah penyalahgunaan data SIM.Penelitian ini bertujuan mengembangkan Sistem Informasi SIM Digital berbasis web dengan mengimplementasikan algoritma face recognition menggunakan FACE-API.JS. Sistem dirancang untuk meningkatkan keamanan dan efisiensi verifikasi identitas pemegang SIM melalui teknologi biometrik wajah. Implementasi menggunakan pendekatan waterfall yang mencakup analisis, desain, implementasi, pengujian, dan pemeliharaan.Proses verifikasi dilakukan melalui tiga tahapan terintegrasi. Face detection mendeteksi keberadaan wajah dalam video stream real-time. Face landmark detection mengidentifikasi titik-titik kunci wajah dengan presisi tinggi. Face matching membandingkan fitur wajah dengan data biometrik database menggunakan threshold similarity 0.5. Sistem menggunakan TinyFaceDetector untuk deteksi cepat dan ResNet-34 untuk ekstraksi fitur akurat. Backend dibangun dengan PHP dan database MySQL untuk menyimpan data biometrik secara aman.Pengujian sistem menggunakan 5 subjek wajah dalam 30 skenario menunjukkan performa optimal. Sistem mencapai akurasi 86.7% dengan precision 80%, recall 80%, dan specificity 90%. Pengujian berbagai kondisi pencahayaan dan sudut wajah menunjukkan sistem bekerja optimal pada jarak 0.5-1 meter. Waktu rata-rata verifikasi 2.3 detik per transaksi dengan response time konsisten.Sistem ini memberikan kontribusi signifikan sebagai solusi teknologi untuk meningkatkan keamanan dan efisiensi verifikasi identitas SIM Digital. Implementasi biometrik wajah dengan threshold 0.5 terbukti mengurangi risiko pemalsuan dan mempercepat proses verifikasi dibandingkan metode konvensional.
Analisis Sentimen Terhadap Kualitas Perbandingan Satelit Starlink dan Telkom Menggunakan Pendekatan Machine Learning Aneria, Gianina Dea; Wowor, Alz Danny
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.21085

Abstract

The development of satellite communication technology has created opportunities for high-speed internet services across various regions, including remote areas. Starlink, which operates using low Earth orbit (LEO) satellites, and Telkom, which utilizes geostationary (GEO) satellites alongside terrestrial infrastructure, are two major providers in Indonesia. This study examines sentiment analysis of the service quality of Starlink and Telkom using a machine learning approach. Data were collected from the X (Twitter) platform and processed through cleaning, case folding, tokenization, slang word normalization, stopword removal, and stemming. Three classification algorithms were employed: Naïve Bayes, Decision Tree, and Random Forest. The results show that Decision Tree achieved the highest accuracy of 100%, followed by Random Forest at 96% and Naïve Bayes at 80%. Sentiment analysis revealed that Starlink was favored for its speed and connection stability, whereas Telkom was more appreciated for its affordability and service coverage. These findings provide an objective overview of user perceptions that can be utilized to improve service quality and strategic planning.
Co-Authors A.A. Ketut Agung Cahyawan W Andeka Rocky Tanaamah Aneria, Gianina Dea Ardika, Zefanya Aryatama, Andrew Ananta Bakar, Theis Huyo Rooney Bambang Susanto David Lihananto Dimara, Indri Dwi, Geizka Wasito Adi Febriyanti, Monica Dias Jesajas, Marthen Billy Juanito, Yunias Kaho, Monica Louisa Ratu Kuniarti Paraditasari Kuniarti Paraditasari Liwandouw, Vania Beatrice Magdalena A. Ineke Pekereng Magdalena Ariance Ineke Pakereng Maria Rosalina Yopeng Nathanael, Hizkia Pallangan, Jorghie Theodore Pallangan, Jorghie Theodore Kenzo Pambudi, Rizky Satya Putra, Gidion Albeth Anoraga Putri, Febyola Kurnia Tiara Ramadhani, Ahmad Sakalaty, Alfa Krisnanugrah Salama, Aditya Simanjuntak, Yohanes Albryan Susilo Wibowo, Ayub Teguh Septianto Nahading Vania Beatrice Liwandouw Vania Beatrice Liwandouw Wibowo, Alvin Cahyo Widiana, Kadek Yopeng, Maria Rosalina