Garuda - Garba Rujukan Digital

Development of Online-Based Cadre Infrastructure for Pimpinan Wilayah Nasyiatul Aisyiah of West Java Akhmad Bakhrun; Iwan Awaludin; M. Rizqi Sholahuddin; Sofy Fitriani; Maisevli Harika; Setiadi Rachmat
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Nasyiatul Aisyiyah is part of the Persyarikatan Muhammadiyah which is engaged in da'wah among the younger generation aged 18-40 years. This generation is a productive generation who are usually pursuing a career or family. The leadership of the Nasyiatul Aisyiyah Region (Pimpinan Wilayah Nasyiatul Aisyiah, PWNA) during this pandemic has a regeneration problem. The main reason is that there are no online regeneration facilities. In addition, PWNA has not received knowledge about online learning systems, such as how to know the level of interest of a cadre when participating in online training, attracting cadres to continue to be interested in participating in training, and so on. This causes the regeneration process of cadres in an organization to be hampered. On the other hand, the lack of motivation to complete the course after registering causes the course completion rate to be low. A possible solution to overcome this problem is to do online regeneration with MOOC. The MOOCs system is a distance learning model. The MOOC system for this regeneration will use gamification. Gamification is the application of learning to follow elements such as in a game or game. By imitating like a game, it is hoped that it can motivate cadres in the learning process. So that the regeneration system can increase the interest of cadres to the learning. The output target of this Community Service (PkM) is the availability of Moodle-based MOOCs with gamification features in West Java PWNA. In addition, partners are expected to be able to operate the system independently, such as preparing content on the system. In addition, the system is also able to regulate access to materials according to the level of cadre members. Access rights to a material will be controlled automatically and the instructor can form statistics on participant reports systematically.

Model ARIMA Terbaik Prediksi Latitude dan Longitude Kegiatan Kapal Imigran Ilegal Eddy Bambang Soewono; Maisevli Harika; Cahya Ramadhan; Muhammad Reyhan Soeharto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3301

The migration of a person to another country without following the law is illegal immigration. Many problems are caused by this activity, ranging from population problems to increased crime. Predicting the emergence of ships carrying illegal immigrants can assist border patrols in planning patrols to planning defense equipment. Time series forecasting to predict the latitude and longitude of boats carrying illegal immigrants is the Autoregressive Integrated Moving Average (ARIMA) model. The case studies for this research are the Straits of Malacca and the Riau Islands. The prediction range is from one to four weeks to find the model with the smallest error. The ARIMA model for one-week prediction distance succeeded in obtaining the smallest RMSE. However, the smallest RMSE result (0.28730) was obtained for a four-week prediction distance with ARIMA model parameters (4,0,2) for longitude prediction. Meanwhile, the prediction of latitude. The best model is ARIMA (4,0,1), with an RMSE of 0.11457. For latitude and longitude predictions in the Riau Islands, the best models are ARIMA (3,0,0) with RMSE of 0.009074 and ARIMA (2,0,0) with RMSE 0.045815. Based on this study, the ARIMA model is suitable for predicting latitude and longitude data with a short prediction distance (one week)

LINE CROSSING DETECTOR SYSTEM PADA REAL-TIME SITUATIONAL AWARENESS DENGAN MENGGUNAKAN SPATIAL SAMPLE DIFFERENCE CONSENSUS Salma Meldiyana; Imaniar Salsabila Fathina; Rifqi Yuner; Setiadi Rachmat; Maisevli Harika
Jurnal Teknologi Terapan Vol 8, No 1 (2022): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v8i1.359

Pengawasan melalui CCTV merupakan salah satu antisipasi ancaman pada VIP dan atau VVIP. Namun pengawasan menggunakan CCTV ini memungkinkan luputnya pengawasan CCTV oleh aparatur. CCTV hanya mampu merekam, namun tidak memiliki kemampuan real-time situational awareness. Line crossing detector merupakan salah satu produk real-time situational awareness yang mampu memantau suatu key area atau area tertentu yang telah ditentukan sebagai area pengawasan (clear area). Sistem line crossing detector ini hanya akan diimplementasikan di dalam ruangan (indoor area). Secara khusus sistem ini dapat bekerja secara optimal pada tempat yang tidak padat aktivitas. Sistem line crossing detector menggunakan Spatial Sample Difference Consensus (SSDC) untuk mendeteksi adanya objek bergerak. Selain itu, Line Crossing Detector memiliki kemampuan untuk melakukan proses object tracking menggunakan centroid tracking dan mengidentifikasi objek yang masuk ke dalam area pengawasan menggunakan model YOLO V3. Melalui metode student t, sistem mampu mendeteksi objek yang melewati garis pengawasan dengan tingkat kepercayaan 90% dengan tingkat signifikansi 10%.

Genetic Algorithm for Artificial Neural Networks in Real-Time Strategy Games Yudi Widhiyasana; Maisevli Harika; Fahmi Faturahman Nul Hakim; Fitri Diani; Kokoy Siti Komariah; Diena Rauda Ramdania
JOIV : International Journal on Informatics Visualization Vol 6, No 2 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2.832

Controlling each member of the soldiers to carry out battle with Non-Playable Characters (NPC) is one of the secrets to winning Real-Time Strategy games. The game could be more complicated and offer a more engaging experience if every NPC acts like humans rather than machines with patterned behavior. Like people during a war, each army member's command requires rapid reflexes and direction to strike or evade attacks. An intelligent opponent based on ANN as NPC can react quickly to their opponents. The accuracy of ANN could be enhanced by weight modifications using a Genetic Algorithm (GA). The crossover and mutation rates significantly impact GA's performance as an ANN setup. This research aims to find the best crossover and mutation rates in GA as a weight adjustment in ANN. Experiments were conducted using an RTS game simulator using 20 scenarios on a maximum of 4000 iterations. The initial setup of each troop is random, with a seven-unit type available. In this research, the troops won because their men were subjected to fewer attacks than the opposing forces. The GA optimal crossover and mutation rates are determined using troop victories as a baseline. According to the findings, the best crossover rate for GA as an ANN weight adjustment is 0.6, whereas the specific mutation rate is 0.09. The crossover rate of 0.6 has the highest average win value and tends to increase every generation. As for the mutation rate of 0.09, it has the highest average win value. Thus, this preliminary study can develop NPC more humanly.

Sistem Inventarisasi Barang Dinas Pendidikan Nasional Kuningan Jawa Barat Neneng Nuryati; Carolina Magdalena Lasambouw; Djoni Djatnika; Lina Meilinda; Muhammad Rizqi Sholahuddin; Setiadi Rachmat; Maisevli Harika
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3746

The national education department's inventory record is unique because the goods are in schools under service, not in the office. Inventory complexity has increased due to the procurement of different schedules and reports, not only for internal but also for other institutions concerned. A structured and accessible inventory from anywhere is the right choice for the effectiveness and efficiency of this work. This research aims to design a website-based information system for goods inventory in the National Education Office (DISDIKNAS). The software development method used in this study is the Rational Unified Process. The study results obtained a web-based application that can help DISDIKNAS inventory goods in a structured and accessible anywhere

Implementasi RESTful untuk Mengurangi Mean Time to Resolve pada Alert Handling Yadhi Aditya; Setiadi Rachmat; Maisevli Harika; Mufqi Uwais Nastiar Salim; Dewanto Joyo Pramono
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4968

One of the responsibilities of the company's IT infrastructure team is ensuring that IT services or services stay available. One part of analyzing the performance of IT infrastructure is MTTR (Mean Time to Resolve) or the average time necessary to restore a service that is experiencing issues. Warnings or alerts are shown when a service is encountering difficulties. As a member of the IT infrastructure team, the on-call engineer is responsible for managing alarms. At PT Sense Health Indonesia, difficulties manifest in the form of recurrence alerts, or warnings resulting from previously fixed or rectified issues. This warning is repeated with sufficient frequency to enhance the MTTR value. The findings demonstrated that the integration of tools using the RESTful approach streamlined the process of processing alerts. The deployment led to a 78% decrease in the average time required to handle alarms. This study contributes by demonstrating one method for decreasing MTTR for alert handling

Two Factor Authentication Sistem Inventarisasi Barang dan Manajemen Dana Bantuan Operasional Sekolah Dinas Pendidikan Nasional Neneng Nuryati; Carolina Magdalena Lasambouw; Djoni Djatnika; Linda Lina Meilinda; Farida Agoes; Muhammad Rizqi Sholahuddin; Maisevli Harika
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2297

Inventory of goods at large institutions is a complicated activity; one solution is to create a structured web application system that can be accessed anywhere. At the National Education Office, it is not only inventory management that is a problem but also the management of the School Operational Assistance Fund (BOS). Data security must be a priority because it involves significant funds and can be misused by irresponsible parties. This study aims to apply Two Factor Authentication to the Goods Inventory System and BOS Fund Management. The first stage is verification by the DISDIKNAS admin at each level of education. Next, a verification email will be sent to the registrant for verification. The results showed that the use of 2FA did not interfere with the performance of the web-based application or its users. The approval rate for the system is 97.4%. This research contributes to the implementation of website security and can be applied to similar systems

Penerapan Klasifikasi Untuk Kelayakan Hasil Produksi Jam Tangan dengan Menggunakan Algoritma K-Nearest Neighbor Maisevli Harika; Diena Rauda Ramdania; Rifaldo Sukma Hidayat; Safira Oktarini; Ferry Feirizal
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5216

Industrial companies in Indonesia are one of the sectors that require development in carrying out their contribution in the manufacturing world. Market needs become the main guideline for the industry to create new ideas and improve the quality of production. Most industries, including digital watch electronics companies, have a need to implement technology at every stage of manufacturing their goods, such as at the stage of filtering raw materials to checking quality control before the goods reach consumers. Filtering and quality control are carried out to maintain the quality of each product produced by the company. The problem discussed in this study is how to apply technology in detecting the quality of watch production using the K-Nearest Neighbor algorithm so that it can increase the quality of production, consumer confidence and increase profits for the company. The results of this study are that the model built using the K-Nearest Neighbor method can increase the accuracy for detecting quality control on watch products with an accuracy value of 92% for k = 3

AR Make-up Filter for Social Media using the HSV Color Extraction Maisevli Harika; Setiadi Rachmat; Nurul Dewi Aulia; Zulfa Audina Dwi; Vandha Pradwiyasma Widartha
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.994

Choosing the appropriate cosmetics is an arduous task. Because cosmetics are tested directly on the skin to ensure each personâ€™s preferences are met. The consumer repeatedly tries a sample and then discards it until he discovers one that meets his tastes. The cosmetics business and consumers are affected by this move. Companies can utilize Augmented Reality (AR) technology as an alternative to mass-producing cosmetic samples. The difficulty of deploying augmented reality is the difficulty of putting cosmetics into camera video streams. Each individual bears the burden of skin color and its effect on light. HSV Color Extraction was the method employed for this study. The application of augmented reality intends to enable consumers to test cosmetics with their chosen color and assist businesses in competing in the industry by promoting items and engaging customers. This work makes it easier to choose cosmetics using augmented reality and social media. AR simulates the usage of the desired color cosmetics, whereas social media allows users to obtain feedback on their color preferences. The outcomes of this study indicate that augmented reality (AR) apps can display filters in bright, dim, and even wholly dark lighting conditions. This research contributes originality that cosmetic firms can utilize to market their products on social media.

AR Make-up Filter for Social Media using the HSV Color Extraction Maisevli Harika; Setiadi Rachmat; Nurul Dewi Aulia; Zulfa Audina Dwi; Vandha Pradwiyasma Widartha
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.994

Choosing the appropriate cosmetics is an arduous task. Because cosmetics are tested directly on the skin to ensure each personâ€™s preferences are met. The consumer repeatedly tries a sample and then discards it until he discovers one that meets his tastes. The cosmetics business and consumers are affected by this move. Companies can utilize Augmented Reality (AR) technology as an alternative to mass-producing cosmetic samples. The difficulty of deploying augmented reality is the difficulty of putting cosmetics into camera video streams. Each individual bears the burden of skin color and its effect on light. HSV Color Extraction was the method employed for this study. The application of augmented reality intends to enable consumers to test cosmetics with their chosen color and assist businesses in competing in the industry by promoting items and engaging customers. This work makes it easier to choose cosmetics using augmented reality and social media. AR simulates the usage of the desired color cosmetics, whereas social media allows users to obtain feedback on their color preferences. The outcomes of this study indicate that augmented reality (AR) apps can display filters in bright, dim, and even wholly dark lighting conditions. This research contributes originality that cosmetic firms can utilize to market their products on social media.

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