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Rancang Bangun Aplikasi Pendataan Kendaraan Operasional Menggunakan Metode Prototipe Astri Aprilia Pratiwi; Muhammad Iqbal
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.714

Abstract

PT. HM Sampoerna Tbk is a leading tobacco company in Indonesia as well as an affiliate of the world's leading tobacco company, Philip Morris International, which has many operational vehicles to support the process of distributing their products but the process of managing operational vehicles for maintenance or repair is still not optimal. Operational vehicles that are poorly maintained can cause problems with the vehicle at any time, causing large losses for the company. Operational vehicle maintenance must be carried out regularly so that the company's operational activities are not disrupted and to keep the vehicle in good condition and primed for traveling to distribute the company's products. The author develops an operational vehicle data collection application using the prototype method, namely rapid software development to present an overview of existing ideas and problems and then obtain feedback from users so that prototypes can be repaired immediately. The application design uses DFD and ERD and the results obtained from this research are applications that can provide information about the history of operational vehicle repairs, remind operational vehicle data management staff to carry out periodic maintenance.
Analyzing the Level of Anxiety Disorders of Final-Year Students by Applying the Fuzzy Mamdani Method Virdyra Tasril; Muhammad Iqbal; Febby Madonna Yuma
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.545

Abstract

Anxiety disorders are included in mental health disorders that are more or less experienced by society. The focus of this study was samples of final-year students who felt this disorder both psychologically and psychologically. Disorders often experienced by the average panic disorder worry from thesis guidance to conducting the final trial due to student unpreparedness and lack of confidence. The purpose of this study is to obtain the results of an analysis of the results of the diagnosis of anxiety disorders in final-year students. The indicators used are three variables, physical, cognitive, and behavioral, each with its symptoms. The fuzzy Mamdani method is used with the help of Matlab software to analyze the results. Based on five samples of students with anxiety disorders experienced by final-year students aged 20-22, the largest was in cognitive disorders, and the lowest was in behavioral variables.
Smart Home Berbasis Internet of Things (IoT) Dalam Mengendalikan dan Monitoring Keamanan Rumah Supiyandi Supiyandi; Chairul Rizal; Muhammad Iqbal; Muhammad Noor Hasan Siregar; Muhammad Eka
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3822

Abstract

Smart Home or smart home is a system built with the help of a computer to integrate and control home devices automatically and efficiently. The development of "Smart Home" technology is the impact of the development of technological advances that aim to help people manage their daily activities in controlling electronic equipment and monitoring the condition of the house. This home automation system was developed with the aim of supporting electricity and water saving programs. Smart home technology developed, both in home automation systems and security will be controlled centrally by the microcontroller. This study aims to build an electronic device control system at several location points automatically by sending SMS from the cellphone to the control module. This device system will also connect the control module via the internet network so that the Internet of Things (IOT) function is built. Arduino-based Smart Home facilitates home security systems by installing Infrared sensors to detect moving objects, MQ-2 Sensors to detect gas leaks, DHT11 Sensors to detect temperature and humidity, Ultrasonic Sensors to measure the water level in water reservoirs.
Rancang Bangun Aplikasi Pemeliharaan Kendaraan Dinas Pada Bagian Umum Sekretariat Daerah Kota Medan Berbasis Web Muhammad Adli Afdika; Muhammad Iqbal
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 2 (2023): 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.v6i2.7688

Abstract

Sekretariat Daerah merupakan unsur staf dan mempunyai tugas membantu Wali Kota dalam penyusunan kebijakan dan pengkoordinasian administratif terhadap pelaksanaan tugas perangkat daerah serta pelayanan administratif. Dalam menjalankan aktivitas kegiatan sehari-hari, Bagian Umum Sekretariat Daerah Kota Medan diberikan fasilitas kendaraan dinas. Pemeliharaan kendaraan dinas pada Bagian Umum Sekretariat Daerah Kota Medan masih dilakukan dengan tulis tangan pada buku agenda pemeliharaan sehingga pemeliharan kendaraan dinas sering tidak tepat waktu. Tujuan penelitian ini adalah membangun aplikasi berbasis komputer untuk pengolahan data pemeliharaan kendaraan dinas. Metode pengembangan aplikasi yang digunakan adalah prototype dengan perancangan menggunakan UML. Simpulan dari penelitian menghasilkan aplikasi yang user friendly dan memudahkan pengguna untuk mendapatkan laporan rekapitulasi penggunaan anggaran kendaraan dinas
Analyzing the Level of Anxiety Disorders of Final-Year Students by Applying the Fuzzy Mamdani Method Virdyra Tasril; Muhammad Iqbal; Febby Madonna Yuma
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.226

Abstract

Stunting in toddlers is defined as a condition of failure to thrive due to chronic malnutrition in the long term. The problem of stunting in Indonesia is an issue that is still a concern for the Indonesian government. The prevalence of stunting in Indonesia is still relatively high, coupled with the COVID-19 pandemic, which has impacted the economic sector. For this reason, research on stunting is still a critical topic. This study aims to classify toddler stunting using the k-Nearest Neighbor classification algorithm and build a website-based early detection application for toddler stunting cases. The research results using the k-Nearest Neighbor Algorithm trial obtained a relatively high accuracy of 92.45%. Implementing an early detection system for stunting cases has proven to help health workers classify toddlers as stunted or not. This application is also helpful as an archive and facilitates data reporting. The application has eight main menus: the Puskesmas data menu, Posyandu data, toddler data, weighing, weighing results, development menu, and stunting early warning menu, which contains malnourished and stunted toddlers.
Merancang Sistem Informasi Penjualan Berbasis Web Di Usaha Kecil Dan Menengah Atja Ramadhan; Muhammad Iqbal
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.170

Abstract

The aim of this research is to create a web-based information system design for small and medium enterprises (SMEs) to help them facilitate their technology business. This research was conducted using a qualitative descriptive method with a literature review based on various studies that have been conducted and using object-oriented approaches such as system builder, development methods, etc. which were developed using the prototype method. The results obtained from this study are the design of information systems that can facilitate SMEs in sales and promotions. The conclusion is that a website information system can help small and medium businesses to develop their business in terms of promotion and sales so they can compete with big companies. Information systems capacity can create new opportunities for small and medium enterprises to expand their market share at a reasonable cost
Rancang Bangun Sistem Informasi Posyandu Ibu dan Anak Berbasis Web Chairul Rizal; Supiyandi Supiyandi; Muhammad Iqbal; Randi Rian Putra; Muhammad Israr Fathoni
Jurnal Testing dan Implementasi Sistem Informasi Vol. 1 No. 2 (2023): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desa Sei Limbat adalah desa yang berada di Kabupaten Langkat Propinsi Sumatera Utara. Desa ini memiliki 6 dusun serta hanya mempunyai 3 Posyandu. Posyandu saat ini memiliki peran yang berarti untuk mendukung pelayanan kesehatan masyarakat. Selain itu, kegiatan Posyandu selama ini berjalan lancar juga karena adanya buku Sistem Informasi Posyandu (SIP) sebagai pedoman pelaksanaan. Hadirnya teknologi memberi kontribusi dalam penataan sistem manajemen dan proses kerja di instansi pemerintah maupun swasta. Penerapan Teknologi Informasi di kehidupan desa salah satunya adalah penggunaan Sistem Informasi Posyandu ibu dan anak berbasis web. Tujuan dari penelitian ini adalah merancang sistem informasi posyandu berbasis web dengan mengintegrasikan 3 posyandu dari 6 dusun di desa Sei Limbat. Tahapan analisis dan perancangan menggunakan metode RAD (Rapid Application Development). Hasil dari penelitian ini terbangunnya Sistem informasi Posyandu ibu dan anak yang dapat memudahkan dalam pengelolaan posyandu di Desa Sei Limbat Kabupaten Langkat.
Implementasi Multi-Objective Optimization Based On Ratio Analysis (MOORA) Dalam Sistem Pengambilan Keputusan Pemilihan Jurusan Berbasis Minat Siswa Supiyandi Supiyandi; Chairul Rizal; Muhammad Iqbal; Randi Rian Putra; Hafizh Sallam
Jurnal Testing dan Implementasi Sistem Informasi Vol. 1 No. 2 (2023): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Di era digital sekarang ini dibutuhkan kemampuan individu yang lebih kreatif dan inovatif diberbagai bidang, sehingga siswa SMK harus lebih mempersiapkan kompetensinya. Dalam hal ini kompetensi berkaitan dengan jurusan yang mereka pilih. Rata-rata siswa salah mengambil jurusan sekitar 35%, ikut teman sekitar 50%, untuk siswa yang benar-benar tepat memilih jurusan 15%. Untuk hal ini maka dibutuhkan metode sistem pendukung keputusan MOORA dalam hal mennetukan jurusan sesuai dengna minat dan bakat siswa. Pengembangan sistem menggunakan metode Waterfall. Tujuan penelitian ini mendesain sistem pendukung keputusan yang dapat digunakan untuk pemilihan jurusan sesuai minat siswa dengan memanfaatkan keputusan hasil metode MOORA. Hasil dari penelitian ini menggambarkan perhitungan MOORA untuk pemilihan jurusan maka calon siswa mendapatkan keputusan untuk memilih jurusan Multimedia karena memiliki nilai tertinggi
Comparative Analysis of Dijkstra and A* Algorithms for Determining the Shortest Route Ardiansyah Ardiansyah; Abdul Muin Nasution; Muhammad Iqbal
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3474

Abstract

This study presents a comparative analysis of Dijkstra and A* algorithms for determining the shortest route in an urban road network scenario, specifically from SMKN 9 Medan to Gramedia Gajah Mada, Medan. The road network is modeled as a weighted graph, where nodes represent key locations, and edges represent inter-node distances derived from Google Maps. Three alternative routes are evaluated based on inter-node distances and direct heuristic distances to the destination. Dijkstra’s algorithm, an uninformed search method, guarantees optimality by exhaustively exploring all possible paths with non-negative weights. In contrast, the A* algorithm incorporates a heuristic function that estimates the remaining distance to the goal, enhancing search efficiency by focusing on the most promising paths. Both algorithms are applied to the same graph data for a fair comparison, with performance metrics including total route distance, number of nodes explored, and computational efficiency. The results show that while both algorithms identify the same optimal route (A–B–E–G, 5.7 km), A* outperforms Dijkstra in terms of computational efficiency, exploring fewer nodes and requiring less computation time. These findings suggest that while Dijkstra remains reliable for smaller networks, A* is better suited for real-world navigation applications where efficiency and scalability are critical. This study provides empirical evidence supporting the use of heuristic-based algorithms in urban route planning systems.
Analysis of E-Commerce Consumer Purchasing Patterns Using the Naïve Bayes Algorithm Khairunnisa Khairunnisa; Muhammad Iqbal
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 1 (2026): Maret
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i1.9531

Abstract

The rapid growth of e-commerce has generated a large volume of transactional data; however, its utilization is often limited to sales reports. In fact, transaction data holds significant strategic potential to be analyzed in order to understand customer purchasing patterns. This study aims to analyze consumer purchasing behavior in e-commerce by applying the Naïve Bayes algorithm as a probabilistic classification method. The dataset used in this research consists of 30 transaction records, including attributes such as purchase frequency, transaction value, product type, payment method, and promotion, with the purchasing decision (buy or not buy) as the class attribute. The research stages include calculating prior probabilities and conditional probabilities for each attribute with respect to the purchasing decision classes. The results indicate that the majority of transactions belong to the buy class with a probability of 0.63, while the not-buy class has a probability of 0.37. Purchase frequency and transaction value are identified as the most influential factors, where medium to high purchase frequency and medium to large transaction values show a strong tendency toward buying decisions. Furthermore, electronic products and non-cash payment methods, particularly e-wallets and credit cards, exhibit high probabilities associated with purchase decisions. Promotions also contribute positively to encouraging purchases, although they are not the sole determining factor. Overall, this study demonstrates that the Naïve Bayes algorithm is effective in identifying customer purchasing patterns and can support strategic decision-making in e-commerce businesses.