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All Journal Jurnal Pilar Nusa Mandiri Jurnal Sains dan Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Riset Informatika BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Teknomatika: Jurnal Informatika dan Komputer Jurnal Rekayasa Informasi Innotech Journal of Informatics and Advanced Computing Journal of Applied Research In Computer Science and Information Systems
Ninuk Wiliani
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mathematics

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Comparison of Apriori and Fp-Growth Algorithms in Determining Package Menus at Sate Perawan Restaurant Sawangan Raya Shabrina Putri; Ninuk Wiliani; Maspiyanti, Febri
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 2 (2024): December 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i2.183

Abstract

The culinary creative industry holds promising prospects as it is a necessity for society. However, the variety of menu items and high customer demand lead to slow ordering processes, which hinder service at Rumah Makan Sate Perawan. Additionally, some menu items are less popular among customers. To address these issues, a system is needed to assist in determining food and beverage package menus based on association rules. This system aims to facilitate business owners in organizing packages and improving sales. This study employs the Apriori and FP-Growth algorithms, using sales transaction data collected over a four-month period. The research applies a minimum support of 0.1 for food, 0.01 for beverages, and a minimum confidence of 0.6 for both categories. The results indicate that there is no significant difference between the two algorithms in terms of the generated packages, lift ratio evaluation, and runtime. In the food category, 5 association rules were generated with an average lift ratio of 1.1929, while in the beverage category, 2 rules were generated with an average lift ratio of 1.8990.
Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes Wiliani, Ninuk; Abdul Rahman, Titik Khawa; Ramli, Suzaimah
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 2 (2024): December 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i2.200

Abstract

The growing utilization of solar panels as a renewable energy source requires efficient maintenance solutions to guarantee their best functioning. Identifying and categorizing faults on solar panel surfaces is essential for maintenance, as these defects considerably affect energy output and system efficiency. This study investigates the utilization of statistical feature extraction methods alongside Bernoulli Naive Bayes (BNB) and Gaussian Naive Bayes (GNB) algorithms to categorize different defect types, such as cracks, scratches, spots, and non-defective surfaces, through digital image analysis. Statistical criteria, including recall, specificity, and area under the curve (AUC), are employed to assess model performance. The findings indicate that the GNB algorithm surpasses BNB, with a mean average precision (mAP) of 39.83% with an 85:15 training-test ratio, whereas BNB reaches a maximum mAP of 29.25% at a 90:10 ratio. Nonetheless, both models demonstrate constraints in precision, as indicated by a total AUC of 0.644. This work illustrates the potential of statistical feature extraction approaches for defect classification, while emphasizing the necessity for future improvements to boost the efficacy of feature extraction and classification techniques in practical applications
USABILITY APLIKASI RMS BOOKING BERBASIS WEB DENGAN METODE IMPORTANCE PERFORMANCE ANALYSIS. Wiliani, Ninuk; Endang; Fitria; Rachmalia Feta, Neneng
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 1 (2024): Innotech Issue Januari 2024
Publisher : Universitas Siber Indonesia

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Abstract

Online booking service will make it easier for users to rent meeting rooms, so that it can be done more efficiently in time and place, Bank BRI provides online booking facilities, namely RMS booking. Use can make it easier for users, especially the board of directors who want to use the room for meetings. The purpose of this study is to identify what indicators need to be improved based on the importance of performance analysis. The identification results show that there are no attributes in quadrant I "main priority", there are 4 attributes that are in quadrant II "maintain achievement", there are 4 attributes that are in quadrant III "low priority" and there is 1 attribute that is in quadrant IV " excessive". RMSBooking.com usability improvement focuses on 2 attributes that are close to quadrant I, namely (1) Users can easily understand how to use and (5) Users can easily operate Navigation.
SISTEM PENDUKUNG KELAYAKAN PEMBERIAN KREDIT ULTRA MIKRO DENGAN METODE PERBANDINGAN EKSPONENSIAL. Wiliani, Ninuk; Adi Saputra, Mulyana
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 1 (2024): Innotech Issue Januari 2024
Publisher : Universitas Siber Indonesia

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Abstract

The process of providing credit is now can be done easily through the presence of BRILink agents with additional facilities besides payment points namely as partners of ultra micro loans which are now popularly known as UMi Partners, which is BRILink agents can distribute micro loans with a loan range of 1 up to 5 million. The study used the Exponential Comparison Method (MPE) to determine lending decisions in order to optimize all existing information systems with the implementation of systems that can be used and applied by UMi partners to improve the process of granting creditworthiness to partners. The system used the NetBeans IDE with Java programming. The results of the calculations were precisely calculated by the system according to the manual calculations that have been carried out so that the results can be applied properly so as to produce creditworthiness which helps the loan granting process.
Peningkatan Kontras Pada PreProcessing Gambar Permukaan Solar Panel dengan Histogram wiliani, ninuk; Khawa, Titik; Ramli, Suzaimah
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

Contrast enhancement in solar panel surface images is a crucial step to support inspection and defect detection processes, such as cracks, scratches, and stains. This study aims to enhance the visibility of details in solar panel surface images using the Contrast Limited Adaptive Histogram Equalization (CLAHE) method. The evaluation was conducted by comparing visual results, histogram distribution, and image quality measurements. The results indicate that the CLAHE method effectively redistributes pixel intensity more evenly than traditional histogram methods and produces images with better contrast without losing essential information. This enhancement supports the identification of defect characteristics on solar panel surfaces. These findings significantly contribute to the development of image processing technologies for solar panel maintenance and other applications requiring improved visual quality
KAJIAN KEAMANAN CCTV BERBASIS INTERNET OF THINGS "MENGIDENTIFIKASI MASALAH DAN SOLUSI PERLINDUNGAN" Tanuwidjaya, Michael Keyva Valiant; Valiant, Michael; Wiliani, Ninuk
Journal of Informatics and Advanced Computing (JIAC) Vol 6 No 2 (2025): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/gtrsgn29

Abstract

Perkembangan teknologi khususnya pada Internet of Things (IoT) yang menjadi awal adopsi perangkat seperti CCTV IoT dalam sistem keamanan rumah. Tetapi perangkat tersebut rentan terhadap ancaman siber seperti Man-in-the-Middle, Denial of Serivices, dan Brute force. Dari lemahnya autentikasi, enkripsi data yang kurang baik, serta penggunaan kredensial default. Penelitian bertujuan mengidentifikasi potensi kerentanan dan mengeksploitasi nya dengan metode serangan pada perangkat CCTV IoT dan memberikan solusi pendekatan ekperimental. Pengujian ini dilakukan pada dua perangkat CCTV IoT yang dipasang pada ruang lingkup rumah, dengan menggunakan beberapa tools open-sources seperti Nmap, Bettercap, dan Metasploit pada sistem operasi ubuntu linux. Hasil dari pengujian ini menunjukkan perangkat memiliki kerentanan keamanan pada konfigurasi jaringan dan autentikasi, serta rentan terkena serangan DoS dan Sniffing data. Solusi yang bisa diberikan, penggunaan firewall, sistem deteksi intrusi, dan pembaruan firmware, serta penguatan kredensial.
Co-Authors Abdillah, Achmad Feri Abdul Rahman, Titik Khawa Adi Saputra, Mulyana Agus Trihandoyo Akbar Nugroho, Faathir Alfi Prabowo Anang Martoyo Andiani Andiani, Andiani Angel Tiarma Sipahutar Anita Putri Valeria Dhiu Lusi Arafat, Fadhilah Asrul Sani Aulia Fahmi Budiyantara, Agus Chusna, Nuke L Chusna, Nuke L. Eksa Manda Pramaswari Endang Fitria Gina Annisa Herry Wahyono Heru Abrianto Hesananda, Rizki Jane Arnecia, Zahra Khawa, Titik Latifah Maspiyanti, Febri Michael Valiant Mulyana Adi Supatra Natasya, Desima Nawangtyas, Nur Novita Maharani Suparta Nur Hikmah Prasetyo, Dio Prianggara, Erdham Hestiadhi Rachmalia Feta, Neneng Rahmawati, Nidya Sari Ramli, Suzaimah Rizki Hesananda Sampoerno, Ahmad RIzqi Setiaji, Hari Shabrina Putri Simanjuntak, Yoel Tanuwidjaya, Michael Keyva Valiant Tri Hartati, Tri Wahyono, Herry Yunita Achsanty