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All Journal Jurnal Media Computer Science Jurnal Komputer Indonesia Jurnal Stia Bengkulu : Committe To Administration For Education Quality Jurnal Semarak Mengabdi Jurnal Kewirausahaan dan Bisnis Jurnal Komputer
Alfatah, Dhika
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Pemanfaatan Bunga Telang Dalam Upaya Peningkatan Kesejateraan Ekonomi Di Dusun II Desa Air Sebakul Kecamatan Talang Empat Ovita, Ovita; Alfatah, Dhika; Rahayu, Novi; Amrullah, Amrullah
Jurnal Semarak Mengabdi Vol 1 No 1 (2022): Januari
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v1i1.18

Abstract

Dengan dilaksanakan kegiatan program pengabdian kepada masyarakat ini, bertambahnya warga khususnya di Dusun Desa Air Sebakul Kecamatan Talang Empat Kabuapaten Bengkulu Tengah yang mengerti manfaat dari tanaman bunga telang. sehingga kedepannya dapat menjadi percontohan bagi masyarakat luas. Pemanfaatan bunga telang tidak hanya sebagai produk olahan Sirup dan Agar agara dan olahan makanan lainya tetapi juga dapat sebagai bahan pewarna alami. Dari manfaat bunga telang tersebut warga dapat lebih menghasilkan produk yang beragam dan tentunya dapat menambah pemasukan bagi warga setempat. di dalam memberdayakan tanaman bunga telang sehingga nantinya dapat menjadi percontohan bagi masyarakat yang lebih luas. kesadaran masyarakat dalam pengelolaan dan dapat mendayagunakan sumber daya alam terbarukan yang selama ini kurang dimanfaatkan dengan baik serta untuk mendapatkan suatu keuntungan ekonomi dari sumber daya alam
Penyuluhan Perkembangan Inovatif Telekomunikasi di Desa Padang Padang Ulak Tanjung Askani, Askani; Alfatah, Dhika; Purwanti, Tri; Kasdi, By; Rahayu, Novi
Jurnal Semarak Mengabdi Vol 1 No 2 (2022): Juli
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v1i2.61

Abstract

The development of telecommunications technology in the world occurs very rapidly due to the need for to communicate and exchange data quickly, easily and mobile. Science Development about Innovative Telecommunications that exist not only develop in quality and competitiveness. In use Modern technology that exists today. With the aim of producing a society with high potential in science Knowledge of Innovative Telecommunication that has competitiveness and improves the ability of Science Telecommunication Innovative through the development of Leading Commodities from the Telecommunication Innovative Materials.Strategies that will be carried out in introducing Knowledge About Innovative Telecommunications in Padang Village Ulak Tanjung, Talang Empat District, Central Bengkulu Regency.
PENANAMAN BIBIT POHON SEBAGAI BENTUK KEPEDULIAN TERHADAP LINGKUNGAN DI TWA (TAMAN WISATA ALAM) PANTAI PANJANG BENGKULU Rahayu, Desita; Reski, Herlinda; Ridianto, Ridianto; Charolina, Ovita; Alfatah, Dhika
Jurnal Semarak Mengabdi Vol 2 No 1 (2023): JANUARI
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v2i1.87

Abstract

One of the steps taken to increase a sense of concern for the environment is to plant tree seeds. The planting was carried out at the Long Beach Bengkulu Nature Park (TWA). The choice of location was based on the condition of the area which was damaged by human activity, including the amount of scattered garbage and the surrounding area which was barren due to community activities which of course had a negative impact on the surrounding environment. The activity which was carried out on October 15 2022 involved the STIA Bengkulu Academic Community and the Bengkulu Natural Resources Conservation Agency (KSDA) by planting Agathis, Durian, Rambutan and Mahogany tree species, which in total totaled 200 tree seeds. The responsibility for the maintenance of this plant is a shared responsibility between MAPALA agra Buana STIA Bengkulu and the Bengkulu KSDA Center. This activity is expected to increase the awareness of the people of Bengkulu City on the importance of protecting and preserving forests, especially in the Nature Tourism Park area.
PENERAPAN LITERASI DESA WISATA DALAM PENGELOLAHAN SAMPAH DI DESA LEBONG TAMBANG KECAMATAN LEBONG UTARA Alfatah, Dhika; Ridianto, Ridianto; Rahayu, Desita; Septiandary, Ranny; Yusnita, Yuli
Jurnal Semarak Mengabdi Vol 3 No 2 (2024): Juli
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v3i2.171

Abstract

Lebong Tambang bertujuan untuk ikut serta menyelesaikan permasalahan sampah di kawasan wisata tersebut. Hal ini penting karena dampak dari wisata dan dan kerusakan lingkungan mengakibatkan terjadinya pembuangan sampah di kawasan Goa Kacamata yang jika tidak ditangani dengan baik dapat berdampak buruk terhadap lingkungan dan kesehatan masyarakat sekitar.
Pelatihan Cerdas Penggunaan Media Sosial Bagi Remaja Di Desa Penembang Alfatah, Dhika; Ramadhan, Hanung wahyu; Juliansyah, Febri; Sirait, Roi Sunjaya; Akbar, Bobby Adi
Jurnal Kewirausahaan dan Bisnis Vol. 4 No. 2 (2022): Agustus
Publisher : Universitas Dehasen Bengkulu

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

Abstract

Nowadays, the use of technology is very fast and massive, and today's technology users do not look at age and gender status with easy use Digital is a form of modernization where everything can be done through this sophisticated equipment to facilitate people's affairs. this is what encourages a person's perspective in living an increasingly sophisticated life today.The purpose of writing an article is to provide training related to the use of social media for adolescents in Penembang Village. So that they are proficient with technology and digital literacy.
Pembuatan Aplikasi Sistem Pencatatan Transaksi Penjualan Pulsa Alfatah, Dhika; Sukindro , Afif; Rahayu , Novi
Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i2.58

Abstract

Many new operators have sprung up offering such cheap tariffs with better quality and confidently stating that it is their products that are felt to be most needed by the public. The recording of each transaction is done manually, which records every transaction made on a piece of paper, and the calculation is still done manually. manually by using this calculator which causes the old system to become less effective and efficient.It can be concluded from the formulation of the problem in this system is how to complete credit sales transactions manually. The purpose of making this thesis is to create a system program to calculate credit sales for purchases of goods and sales and purchase transactions, these transactions will automatically be recorded in the database.The data collection method used in conducting this research is through primary data (interviews, observations) and secondary data (documents). From the results of the design and manufacture of the application, it can be interpreted that the application for recording DAPT pulse sales transactions is implemented in a system with the availability of a computerized database.
Penerapan Model Transformer Untuk Deteksi Sentimen Pada Data Twitter Berbahasa Indonesia Alfatah, Dhika
Jurnal Komputer Vol 2 No 2 (2024): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v2i2.99

Abstract

Social media has become an important platform for people to voice their opinions, aspirations and feelings on various social, economic and political issues. Twitter, as one of the most popular social media platforms, presents a wealth of data for research, especially in the field of sentiment analysis. This research explores the application of the Transformer model, specifically IndoBERT, in detecting sentiment from Indonesian tweets. The dataset used was collected from the Twitter API, processed, and manually labelled into three categories: positive, negative, and neutral. Model evaluation was conducted by comparing IndoBERT's performance with traditional classification methods such as Naïve Bayes and Support Vector Machine (SVM). The results show that IndoBERT significantly outperforms conventional models in terms of accuracy, recall, precision, and F1-score, signalling that the Transformer model is highly effective for sentiment analysis in Indonesian.
E-Commerce Applications In Helping Selling Handphone Products In Ficho Mobile Store Alfatah, Dhika
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3606

Abstract

Driven by technological advances and computerization to improve work efficiency through sales on the internet An e-commerce is familiar to consumers, many online stores are frequently visited by consumers. ficho cellular. Adding consumers who will transact at the ficho cellular store. The data collection method used in conducting this research is through primary data (interviews, observations) and secondary data (documents). This research was carried out on July 2 to August 19, 2021. From the results of research and testing that has been done, the design of an E-Commerce application in Helping Sales of Mobile Products at the Ficho Cellular Store can be done by applying php mysql and can be well integrated
Penggunaan Kriptografi Asimetris dalam Pengamanan Komunikasi IoT Alfatah, Dhika
Jurnal Komputer Vol 3 No 1 (2024): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i1.101

Abstract

The Internet of Things (IoT) has grown rapidly and become an important part of many sectors, from industry to healthcare to households. However, this growth also increases security risks, especially regarding data communication between devices. One promising solution is the implementation of asymmetric cryptography, which offers encryption and decryption mechanisms using public and private key pairs. This article discusses how asymmetric cryptography can be applied in IoT systems to maintain data confidentiality, integrity, and authentication. In addition, implementation challenges such as limited computing power and energy consumption in IoT devices are analysed, as well as solutions that can be applied to overcome them. This study shows that despite technical barriers, the use of asymmetric cryptography remains relevant and effective as a layer of protection in an increasingly complex IoT ecosystem.
Analisis Forensik Digital pada Perangkat Android: Studi Kasus Serangan Malware Alfatah, Dhika
Jurnal Komputer Vol 3 No 2 (2025): Januari- Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i2.102

Abstract

Until recently, the growth of the Android operating system on smartphone devices was popular. However, behind this popularity, the Android platform is also a target of opportunity for cybercrime against cybersecurity threats such as malware. Identifying this malware is very important to maintain user security and privacy. Due to the increasingly complicated process of malware identification, it is necessary to use machine learning for malware classification. This research collects static analysis features of safe and malicious applications. (malware). The dataset used in the research is the DREBIN malware dataset which is a publicly available malware dataset. The dataset consists of API CALL, system command, manifest permission, and Intent features. The data is then processed using various supervised machine learning algorithms including Support Vector Machine (SVM), Naive Bayes, Decision Tree and KNearest Neighbors. We also concentrate on maximising the achievement by evaluating various algorithms and adjusting some configurations to get the best combination of hyper-parameters. The experimental results show that SVM model classification gets the best result by achieving 96.94% accuracy and 95% AUC (Area Under Curve) value.
Co-Authors Akbar, Bobby Adi Amrullah Amrullah Askani, Askani Eka Putra, M Bima Faridah Faridah Hestiana, Agustri Juliansyah, Febri Julita Julita Kasdi, By Mulyadi Mulyadi Ovita Charolina Ovita, Ovita Purwanti, Tri Rahayu , Novi Rahayu, Desita Rahayu, Novi Ramadhan, Hanung wahyu Reski, Herlinda Ridianto, Ridianto Romdana, Romdana Septiandary, Ranny Sirait, Roi Sunjaya Sukindro , Afif Tappratama, Yogi Vina Oktavia Yusnita, Yuli