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All Journal Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic INTECOMS: Journal of Information Technology and Computer Science Jurnal Sains dan Teknologi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal for Applied Information Management AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal Innovations Computer Science
Setiawan, Kiki
Unknown Affiliation
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences

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Implementasi Backup Koneksi Jaringan Menggunakan Metode Failover MikroTik pada PT Tiga Kawan Sertifikasi Raharjo, Pratama Putra; Setiawan, Kiki; Kastum
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.974

Abstract

The internet plays a vital role in supporting business operations in companies or organizations by accelerating the flow of information and enabling real-time connections. According to a report by We Are Social, the number of internet users in Indonesia reached 213 million in January 2023, accounting for about 77% of the total population. However, despite the numerous ISPs in Indonesia, not all internet services are affordable or of high quality, and some areas remain inaccessible to providers using fiber optic connections. PT. Tiga Kawan Sertifikasi, a company engaged in legal services in Tangerang, faces challenges with its internet connection as it relies solely on a single provider, Orbit from Telkomsel. Issues arise when the modem signal frequently drops due to the use of SIM card media instead of fiber optic cables. The proposed solution is to add another provider as an alternative and implement a failover method on a Mikrotik router to ensure a stable connection.
Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman Tundo; Sodik; Setiawan, Kiki; Aula, Raisah Fajri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.977

Abstract

Smart farming has become a major focus in the development of modern agricultural technology. In this context, the Internet of Things (IoT) offers innovative solutions to increase productivity and efficiency in crop management. This research introduces an IoT-based plant watering monitoring system that uses a fuzzy algorithm and an ESP32 microcontroller. This system is designed to automatically regulate plant watering based on environmental conditions and plant needs. The ESP32 microcontroller acts as the brain of the system, collecting environmental data such as soil moisture, air temperature, and relative humidity. This data is analyzed using a fuzzy algorithm to determine plant watering needs in real-time. Based on the output of the fuzzy algorithm, the system automatically controls the water pump to water the plants according to the specified needs. The application of fuzzy algorithms allows the system to overcome uncertainty in plant watering decisions, especially in the face of complex variations in environmental conditions. With the adoption of IoT technology, farmers can monitor and control crop watering efficiently through web interfaces or mobile applications, even remotely. This research shows that the integration of IoT with fuzzy algorithms and ESP32 microcontrollers can be an effective solution in managing crop watering, increasing overall agricultural productivity, while reducing water and energy consumption.
Analisis Konfigurasi Tunnel IPv6, Auto Tunnel, dan ISATAP dalam Pembangunan Infrastruktur Jaringan Akbar, Yuma; Setiawan, Kiki; Aula, Raisah Fajri; Aimar, Muqorrobin
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.993

Abstract

IP (Internet Protocol) is needed to be the address of a device that wants to connect to each other, whether connected locally or to the internet. As technology develops, IP addressing allocation becomes increasingly necessary. The IP address that is often used is IPv4, but IPv4 allocation is increasingly limited. For this reason, a renewable IP version was created, namely IPv6. IPv6 itself has many advantages in terms of security which is equipped with encryption, then in terms of effectiveness in configuration which can use Auto Config, as well as a larger number of allocations compared to IPv4. If IPv4 only uses 32 bits, IPv6 uses 128 bits, for this reason the number of allocations given by IPv6 is much greater. This amount should be able to cover the lack of allocation from IPv4. Therefore, IPv4 to IPv6 migration must be carried out slowly, in-order-to overcome the lack of allocation in IPv4. Fortunately, IPv6 tunneling can run in parallel with IPv4 without disrupting existing infrastructure. Where IPv4 can be used as an Underlay Network (a network that is the foundation of the virtual network above it), and IPv6 will be an Overlay Network (a virtual network that connects users as if they were connected directly, this virtual network must be built on top of the Underlay Network, in this case the IPv6 tunnel will be used as a virtual network).
Klasifikasi Penjualan Produk Terlaris Pada Kedai Ira Dengan Menggunakan Algoritma Naïve Bayes Dan Algoritma K-Nearest Neighbor Purwasih, Intan; Setiawan, Kiki; Sarimole, Frencis Matheos; Tundo, Tundo
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13236656

Abstract

Di dunia ritel dan teknologi saat ini, persaingan sangat kompetitif. Dengan Dengan pertumbuhan dan tersebarnya bisnis ritel di setiap wilayah, kebutuhan konsumen semakin meningkat, dan bisnis ritel berlomba-lomba untuk mengembangkan bisnis mereka dengan menggunakan teknologi saat ini. Data transaksi penjualan harian yang terus meningkat menyebabkan banyaknya penyimpanan. Toko Ira memiliki lebih dari 228 rekaman data transaksi penjualan dari tahun 2023 hingga 2024 yang belum digunakan. Data memerlukan banyak ruang penyimpanan. Selain itu, data tersebut belum digunakan dengan cara yang efektif. Berdasarkan masalah, tujuan penelitian ini adalah untuk menentukan barang mana yang paling laris dengan menggunakan data mining untuk mengklasifikasikan data transaksi penjualan. Studi kasus ini adalah studi kualitatif. Hasil penelitian ini menunjukkan bahwa algoritma K-Nearest Neighbors (KNN) dengan pembagian data 50:50 lebih efektif dalam memprediksi dan mengklasifikasikan penjualan produk laris dan tidak laris di toko kedai ira. Hasilnya menunjukkan bahwa algoritma Naive Bayes memiliki akurasi sebesar 89,91%, sedangkan algoritma K-Nearest Neighbors (KNN) dengan pembagian data 50:50 memiliki akurasi sebesar 89,91%.
Implementasi Alat Pendeteksi Banjir Berbasis Internet Of Things Via Telegram Pada Kampung Pengarengan Ghazi, Ahmad; Syaputra, Ilham Adi; Salam, Nauval; Setiawan, Kiki
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): 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/intecoms.v7i5.11514

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pendeteksi banjir berbasis IoT dengan notifikasi Telegram untuk masyarakat di Kampung Pengarengan. Masalah utama yang dihadapi adalah kurangnya sistem peringatan dini yang efektif terhadap banjir, menyebabkan kerugian material dan korban jiwa. Peneliti menggunakan pendekatan perancangan prototipe sistem deteksi banjir berbasis IoT dengan sensor ultrasonik dan water level sensor. Data penelitian diperoleh melalui observasi kondisi sistem peringatan banjir, wawancara dengan warga setempat, dan studi kepustakaan. Hasil penelitian menunjukkan bahwa implementasi sistem ini dapat memberikan notifikasi dini kepada warga terkait potensi banjir, meningkatkan kesiapsiagaan masyarakat, dan mengurangi dampak buruk dari bencana banjir. Diharapkan solusi ini dapat menjadi langkah proaktif dalam mitigasi bencana banjir di Kampung Pengarengan dan daerah sekitarnya.
Implementasi Data Mining Menggunakan Algoritma Apriori Terhadap Pola Pembelian Konsumen Di Marketplace Shopee Jaktimstore Marindah, Marindah; Setiawan, Kiki
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): 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/intecoms.v7i5.11644

Abstract

Perkembangan teknologi dan internet membawa dampak signifikan pada perilaku konsumen, terutama dalam hal bertransaksi. Jaktimstore belum memanfaatkan data transaksi penjualan. Data tersebut hanya disimpan dan tidak digunakan untuk membuat strategi pemasaran. Akibatnya, toko tidak dapat mengetahui barang apa yang paling diminati oleh pelanggan. Dan terjadi kesulitnya dalam menentukan pengaturan promo paket diskon antara satu item produk dengan item produk lainnya. Adapun tujuan dari penelitian ini adalah merekomendasikan produk kepada pembeli guna meningkatkan jumlah penjualan. Pada metode penelitian melibatkan pengumpulan data kualitatif melalui observasi dan wawancara, serta pengolahan data transaksi dari Desember 2023 hingga Mei 2024 menggunakan metode CRISP-DM. penelitian ini menunjukkan bahwa dengan minimum support 20% dan minimum confidence 80%, dihasilkan 53 aturan asosiasi. Dapat disimpulakan bahwa algoritma Apriori efektif untuk mengidentifikasi hubungan produk, yang dapat digunakan untuk memberikan rekomendasi kepada pelanggan guna meningkatkan penjualan​
Implementasi Private Cloud Menggunakan Metode Zero Trust Dan IP Public Dinamis Pada PT. Elnusa Sentra Bajatama Mufid, Ahmad Raihan; Setiawan, Kiki; Sutisna, Nandang
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): 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/intecoms.v7i5.11760

Abstract

Perkembangan teknologi informasi menyebabkan perubahan signifikan dalam penyimpanan data perusahaan. PT. Elnusa Sentra Bajatama, yang bergerak di bidang penyedia alat rancah, saat ini menggunakan hardisk dan flashdisk pada komputer karyawan sebagai media penyimpanan. Namun, metode ini rentan terhadap kehilangan data akibat kerusakan perangkat dan tidak adanya infrastruktur penyimpanan yang memadai, sehingga memungkinkan akses tanpa izin terhadap data perusahaan. Penelitian ini bertujuan untuk mengimplementasikan Private Cloud Storage sebagai solusi penyimpanan data terpusat dan aman, dengan menggabungkan konsep Zero Trust dan IP Publik Dinamis. Data penelitian mencakup jumlah pengguna dan perangkat kantor yang akan mengakses cloud storage. Pendekatan ROCCA digunakan sebagai model implementasi sistem, meliputi tahapan analisis, perencanaan, adopsi, migrasi, dan pengelolaan. Hasil penelitian menunjukkan bahwa penggunaan Nextcloud sebagai private cloud storage berhasil diterapkan di lingkungan perusahaan. Kombinasi Zero Trust dan IP Publik Dinamis terbukti optimal dalam memperkuat keamanan akses server. Dapat disimpulkan bahwa implementasi ini menawarkan solusi efektif dan aman untuk penyimpanan data perusahaan, mengurangi risiko kehilangan data dan akses tanpa izin.
Penerapan IoT dalam Sistem Monitoring Suhu dan Kelembapan pada Lahan Bawah Tanah (Basement) Masjid Al-Barkah Tundo; Azhar, Anisah Nurul; Setiawan, Kiki; Aula, Raisah Fajri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
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.v9i1.3199

Abstract

Underground areas, commonly referred to as basements, are often used for essential functions such as parking and electrical distribution spaces. However, unstable temperature and humidity levels due to poor air circulation can affect comfort and safety. Therefore, a system capable of automatically monitoring and controlling temperature and humidity is needed to optimize comfort and energy efficiency. This research employs an Internet of Things (IoT) approach using a DHT11 sensor to detect temperature and humidity in the basement. The data collected by the sensor is processed using a NodeMCU ESP32 microcontroller and then displayed in real-time on a web-based application via the cloud. The system also automatically controls the fan/blower to maintain ideal conditions in the basement. The results of this research show that the implemented IoT system demonstrates high effectiveness in monitoring temperature and humidity in real-time, providing accurate data, enabling energy savings by automatically regulating the fan/blower, and improving air quality and user comfort in the basement.
Implementasi Algoritma Rabin-Karp dalam Pendeteksian Plagiarisme pada Dokumen Makalah Mahasiswa Zidan, Muhammad Rohyan; Setiawan, Kiki
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1191

Abstract

Term papers are scholarly works prepared by students as part of their assessment in the educational process according to their academic level. Concerns about the increasing incidence of plagiarism in academic documents are becoming more significant. To assess the extent of plagiarism in a document, the use of a plagiarism detection system based on the Rabin-Karp algorithm is essential. This algorithm is employed to compare the similarities between a PDF document and existing sources, helping to identify patterns resembling the original references. This plagiarism detection system provides relevant data to measure the originality of a work and determine the necessary preventive or corrective actions. The data collection methods applied include literature review and interviews, while the system development follows the prototyping approach, which features clear, structured, and practical stages.
Implementation of RFM Analysis to Enhance Sales Patterns of Food and Beverages at Bonjour Café and Resto Using the Apriori Algorithm Sibarani, Julvan Marzuki Putra; Akbar, Yuma; Sutisna; Setiawan, Kiki
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3073

Abstract

The rapid growth of the culinary business has made business competition in this field increasingly tight, so a strategy is needed to increase food and beverage sales patterns. Bonjur Cafe Resto serves many food and beverage menus, but business actors need to try to produce product innovations in order to provide satisfactory service to customers. In this condition, a data processing technique is needed to determine customer segmentation and menu recommendations at Bonjur Cafe Resto. The analysis method used is RFM Analysis by analyzing customer behavior, analyzing purchase transaction data consisting of Recency Frequency Monetary (RFM) attributes and data mining techniques with the Apriori algorithm, where this algorithm is used to determine the most frequently appearing data set (frequent itemset). The results of this study are grouped into five categories of customers based on their purchasing behavior and association rules are formed with predetermined parameters, support 28% and confidence 70%. This can later be a recommendation for a menu combination from the data that has been collected and applied using the apriori algorithm so that it is expected to be used for service evaluation and be able to increase customer satisfaction so that Bonjur Cafe Resto can develop better
Co-Authors Abdullah Aimar, Muqorrobin Akbar, Yuma Alafia, Evi Alifia, Tiara Ratu Amelia, Ika Amini, Tasya Aisyah Apriyanto, Kevin Jonathan Ardiyansyah, Ferry Aryanti, Putri Gea Aula, Raisah Fajri Azhar, Anisah Nurul Badzlin, Rosyiqoh Betty Yel, Mesra Eldina, Ratih Fadillah, M. Rafli Fricco, Arjun Ghazi, Ahmad Kastum Lailany, Afyra Ar’bah Marindah, Marindah Miswanto Miswanto Mufid, Ahmad Raihan Nabilah, Laila Nauvalsalam, Nauvalsalam Oktavian, Nur Pratama, Yuliya Putri Purwasih, Intan PUTRI WULANDARI Qibthiyah, Mariyatul Raharjo, Pratama Putra Rahmawati, Dwita Regita, Anggit Nur Hannaa Rodhiyah Rodhiyah Rosidi, Raihan Putra Mohammad Salam, Nauval Saputra, Rizqi Kurniawan Saputry, Yulia Yanti Ayu Sarikah, Dede Sarimole, Frencis Matheos Sibarani, Julvan Marzuki Putra Sodik Sri Lestari Surapati, Untung Sutisna Sutisna, Nandang Syaputra, Ilham Adi Tundo, Tundo Yrain, Beatrice Zakaria, Aditya Zidan, Muhammad Rohyan