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All Journal Jurnal Media Infotama Jurnal Informatika ILKOM Jurnal Ilmiah JE (Journal of Empowerment) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Multidisiplin Dehasen (MUDE) Jurnal Media Computer Science JURNAL BESEMAH Innovative: Journal Of Social Science Research Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Jurnal Penelitian Teknologi Informasi dan Sains GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Media Akademik (JMA) Jurnal Al-Maun Abdi Reksa Jurnal Komputer, Informasi dan Teknologi
Sastya Hendri Wibowo
Universitas Muhammadiyah Bengkulu
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Classification Of Mobile Phone Purchases Based On Sales Transaction Data Using The Rule Based Reasoning Handayani, Sri; Toyib, Rozali; Wibowo, Sastya Hendri
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.6493

Abstract

Ordering goods to mobile distributors randomly without classifying the items that are in great demand by consumers is certainly very detrimental because it greatly affects the sale of goods, The solution to make it easier for shop owners to place orders to distributors in terms of selecting the type of goods that consumers are very interested in is by using an application using the method Rule Base Reasoning based on transaction data that has been done. Rule Base Reasoning is an expert system based on a set of rules that represent human knowledge and experience in solving complex cases and imitating human ability to make decisions and solve problems. Test results of the most sold cellphones are A12 as much as 97%, A1K 67%, Rodmin 8 Apro 53 and others ranging from 3% to 30%, Searching for similarity values ​​is enough to do for cases that have the same index as the new case, This system only stored in the database that has been provided and the input data received by the system is still limited.
Implementasi Algoritma Analisis Sentimen pada Konten Interaktif Website Promosi Kearifan Lokal Adat Tabot Bengkulu Darnita, Yulia; Khakim, Ahmad Nuril; Toyib, Rozali; Wibowo, Sastya Hendri
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16685

Abstract

Tabot adalah upacara adat tahunan yang diselenggarakan oleh masyarakat Bengkulu sebagai bentuk pelestarian kearifan lokal. Promosi kearifan lokal melalui platform digital, terutama website, menjadi penting untuk memperkenalkan dan melestarikan tradisi budaya. Website promosi adat Tabot Bengkulu, yang berisi konten interaktif seperti video, gambar, dan artikel, bertujuan menarik minat pengguna. Sentimen pengguna terhadap website ini penting untuk memahami tanggapan mereka. Algoritma analisis sentimen, yang mempelajari hubungan antara kata-kata dan sentimen, dapat digunakan untuk berbagai tujuan, termasuk analisis opini publik dan pemasaran, meskipun penggunaannya dalam konteks kearifan lokal masih terbatas. Metode yang digunakan dalam penelitian ini adalah metode Naive Bayes untuk klasifikasi sentimen. Data ulasan produk dikumpulkan dan diproses menggunakan teknik Pre-Processing seperti tokenisasi, Stemming, dan penghapusan Stopwords. Aplikasi yang digunakan untuk pengembangan sistem ini adalah Python dengan pustaka scikit-learn sebagai alat utama untuk implementasi algoritma Naive Bayes. Sistem dibangun dengan spesifikasi yang mencakup pengolahan data teks dan visualisasi hasil analisis sentimen. Hasil dari penelitian ini menunjukkan bahwa sistem klasifikasi sentimen otomatis yang dibangun dapat mengklasifikasikan sentimen ulasan produk dengan akurasi yang memuaskan. Sistem ini berhasil membedakan antara ulasan positif, negatif, dan netral. Analisis lebih lanjut menunjukkan bahwa metode Naive Bayes memiliki kinerja yang baik dalam klasifikasi sentimen dengan akurasi yang mencapai 67%. Sistem klasifikasi sentimen otomatis yang dibangun dalam penelitian ini mampu membantu dalam menganalisis sentimen. Dengan akurasi yang tinggi, sistem ini dapat menjadi alat yang efektif untuk memahami opini dan sentimen yang berkembang di dunia digital.
Performance Analysis of LoRaWAN Communication Utilizing the RFM96 Module Yassir, Muhammad; Soepandi, Harry; Hanani, Ajib; Prakasa, Johan Ericka Wahyu; Puspitadewi, Ganis Chandra; Wibowo, Sastya Hendri; Adi, Puput Dani Prasetyo; Kitagawa, Akio
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2326.255-270

Abstract

This research discusses the utilization of LoRa and LoRaWAN or Low Power Wide Area (LPWA) and Low Power Wide Area Network (LPWAN). In this study, the application server is utilized using Telkom IoT. In its utilization, Telkom IoT can provide comprehensive results regarding LoRa quality of service capabilities such as bit rate, latency, and longitude and latitude data. Terrestrial measurements conduct tests in different areas with different conditions that cause different data obstruction, with several LoRa end-node points transmitting data with low bit-rate. For example, heart rate data. Some other parameters are the spreading factor (SF) and power consumption. Some parameters that determine the quality of transmitting data include the Spreading Factor and the Bandwidth used. From the analysis dan Experiment results, the Delay (ms) generated from measurements using RFM96 LoRa for IoT is around 0.02 seconds or 20 ms to around 0.05 seconds or 50 ms, and sometimes it can reach 0.07 ms to 0.09 ms. RSSI and SNR show the quality of the signal obtained which will provide a Quality of Service (QoS) value. From the measurement results using Telkom IoT in several times of data collection and testing, the average RSSI (-dBm) is at -110 dBm to -115 dBm. While SNR is at -10 dB to -16 dB.
PENAMBAHAN CLIENT DAN INSTALLASI PRINTER PADA JARINGAN WIFI DI BALAI WILAYAH SUNGAI SUMATERA VII KOTA BENGKULU mawarni, shindy; Afredo Fadlikal Ilham Aditama; Muhammad Fajhry Amir; Wahyu Redo Ilahi; Sastya Hendri Wibowo
JURNAL BESEMAH Vol. 3 No. 2 (2024): JULI-DESEMBER
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jurnalbesemah.v3i2.989

Abstract

The Sumatra River Basin Office of Bengkulu City functions to have the task of implementing water resources management in river areas which include program preparation, construction implementation, operation and maintenance in the context of conservation and utilization of water resources and control of water damage in rivers, beaches, dams, lakes, lakes and other functions. The computer network at the Sumatra River Basin Office of Bengkulu City currently uses data transmission media on the network in the form of cables and wifi. The data transmission media on the network that is most widely used in daily work is the wifi network. The wifi network provides ease of use and tidiness in the room because it no longer uses cables. The convenience obtained by using wifi includes easy client additions, namely by connecting devices to the network via the specified SSID. In addition to the above, printers connected to the network can help employees in their daily work such as ease of printing reports another needs in work.
PENGENALAN DASAR KOMPUTER PADA MURID SDN 17 KOTA BENGKULU Sastya Hendri Wibowo; Taufiq Syaifullah; Gugi Walus Riman; Nora Fransiska; Bima Aditiansyah; Dio Syahputra
Kohesi: Jurnal Sains dan Teknologi Vol. 7 No. 6 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v7i6.11853

Abstract

SD Negeri 17 Kota Bengkulu, a public elementary school in Sungai Serut District, Bengkulu City, Bengkulu, has been operating since January 1, 1974, under the Ministry of Education and Culture. With a total of 241 students, the school is guided by 12 expert teachers. Currently, SD Negeri 17 Kota Bengkulu is led by Rita Susana. Recently, we conducted a basic computer introduction training for the students. This training aimed to introduce elementary school students to computer technology, covering computer components and typing in Microsoft Word. The methods used in this training included material delivery, live demonstrations, guided practice, and interactive activities emphasizing hands-on experience. The results of this training showed an improvement in students' knowledge and skills in basic computer usage. Additionally, the training successfully engaged students’ interest and motivation through interactive methods and games. To ensure students are prepared for future technological challenges, continuous learning and mentoring are recommended. SD Negeri 17 Kota Bengkulu, sebuah sekolah dasar negeri di Kecamatan Sungai Serut, Kota Bengkulu, Bengkulu, telah berdiri sejak 1 Januari 1974 di bawah naungan Kementerian Pendidikan dan Kebudayaan. Dengan jumlah 241 siswa, sekolah ini dididik oleh 12 guru yang ahli di bidangnya. Saat ini, SD Negeri 17 Kota Bengkulu dipimpin oleh Rita Susana. Baru-baru ini, kami mengajarkan murid-murid sekolah tersebut pelatihan pengenalan dasar-dasar komputer bagi para siswanya. Pelatihan ini bertujuan untuk memperkenalkan teknologi komputer kepada siswa sekolah dasar, mencakup pengenalan komponen komputer dan cara mengetik di Microsoft Word. Metode yang digunakan dalam pelatihan ini meliputi penyampaian materi, demonstrasi langsung, praktik terbimbing, dan kegiatan interaktif yang menekankan praktik langsung. Hasil dari pelatihan ini menunjukkan peningkatan pengetahuan dan keterampilan siswa dalam penggunaan dasar komputer. Selain itu, pelatihan ini juga berhasil menarik minat dan motivasi siswa melalui metode interaktif dan permainan. Untuk memastikan siswa siap menghadapi tantangan teknologi di masa depan, disarankan agar pembelajaran dan pendampingan lanjutan terus dilakukan.
Perancangan Sistem Diagnosa Penyakit Pada Ayam Menggunakan Metode Certainty Factor Peternakan Ayam Parude Rude Safrizal, Edy; Juhardi, Ujang; Khairullah, Khairullah; Wibowo, Sastya Hendri
Jurnal Multidisiplin Dehasen (MUDE) Vol 4 No 2 (2025): April
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v4i2.8160

Abstract

Indonesia as a tropical and agricultural country, has various types of flora and fauna, one of which is chicken, chicken is one of the most widely farmed poultry because of its many benefits and advantages. As with other livestock, chicken has various types of diseases. For some farmers who want to raise chickens, especially lay people, they are faced with several problems, one of which is disease.One of the factors that causes losses is the lack of knowledge of farmers about diseases that attack chickens and how to treat them. Therefore, in this study, a web-based expert system application will be created to provide information about diseases and symptoms in chickens, as well as provide solutions and treatments using the Certainty Factor method.The use of this certainty factor method is to describe the level of confidence in the problem. The data needed in designing this expert system application are disease data, symptom data, and solution data on how to handle it.
Penerapan Metode Convolutional Neural Network Dalam Klasifikasi Kesegaran Ikan Mungkus Berdasarkan Citra Mata dan Insang Ikan Darnita, Yulia; Putra Andika, Febby; Wibowo, Sastya Hendri; Saputera, Surya Ade; Maria Veronika, Nuri David
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i4

Abstract

Mungkus fish (Sicyopterus stimpsoni) is a type of freshwater fish that is a typical mascot of Kaur Regency, Bengkulu Province. This fish lives in clear, fast-flowing waters, and is known for its ability to stick to rocks using a special structure on its stomach called cupak. Mungkus fish has high economic value and is consumed daily by the local community. However, high demand is not balanced with adequate availability, resulting in increasingly expensive prices. In addition, the lack of public knowledge regarding the assessment of fish freshness causes the risk of consuming fish that is not fresh, which has the potential to endanger health. Traditional assessment of fish freshness based on physical parameters such as eyes, gills, and meat texture is considered less accurate and requires special expertise. Therefore, this study proposes the use of Convolutional Neural Network (CNN) to classify the freshness of mungkus fish based on eye and gill images. CNN is able to extract complex features from images without the need for manual extraction. The application of this method is expected to provide an objective, efficient, and accurate solution in assessing the freshness of mungkus fish, as well as being beneficial for fishermen and consumers.
3D Model Bahan Ajar Pengenalan Hewan Berbasis Augmented Reality Apridiansyah, Yovi; Wibowo, Sastya Hendri; Muntahanah, Muntahanah; Apriansyah, Nugraha
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9307

Abstract

his study aims to develop an interactive learning media based on Augmented Reality (AR) technology to support the introduction of animals to elementary school students. The learning media is designed in the form of 3D animal models that visually represent the name, habitat, and characteristics of each animal. The 3D models were developed using Blender software and implemented into the AR Web Studio platform, allowing users to scan markers using a mobile device camera and display animal objects in real-time. The research method used is Research and Development (R&D), consisting of several stages: problem formulation, data collection, media development, implementation, and system evaluation. Testing was conducted using two approaches: technical testing with the black-box method and user testing through questionnaires distributed to several elementary school teachers. The technical testing results showed that all system features, such as marker detection, 3D model display, and user interaction, functioned properly. Meanwhile, user testing revealed an average satisfaction score of 76.9%, which falls into the “Good” category. Based on these results, it can be concluded that the AR-based animal learning media is feasible to use and provides a positive contribution to increasing students’ interest and understanding of the learning material in an interactive manner.
Sistem Informasi Bahasa Rejang Berbasis Natural Language Processing (NLP) Untuk Pelestarian Budaya Lokal Wibowo, Sastya Hendri; Diana, Diana
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4270

Abstract

Regional languages in Indonesia have their own differences both in terms of morphology and dialect, such as the Minang language in West Sumatra, the Batak language in North Sumatra, the Sundanese language in West Java and also the Rejang language in Bengkulu. Each province is certain to have its regional language dictionary in the form of a printed book, but not necessarily a digital dictionary. In the current era of computer technology, it is very important to build a language translation application. So that it can make it easier for the community, especially the Indonesian people, to communicate between one person and another with a different regional language. Therefore, building a digital dictionary is the main requirement as a source of supporting data used by language translation applications. In Bengkulu, there is currently no digital dictionary for Rejang, nor is there an application for translating Rejang to Indonesian or vice versa. Meanwhile, to build a language translator application, a left corner parsing algorithm is needed. The left corner parsing algorithm is a combination of two algorithms, namely the top down parsing algorithm and the bottom up parsing algorithm. This algorithm's task is to check each word in a sentence, then match a grammar pattern to the results of the inspection. This inspection process will become a word checker. Rejang language is a regional language used by approximately 500,000 native speakers who live in Rejang Lebong Regency and the surrounding areas in Bengkulu Province and South Sumatra Province. Basically, the Rejang language belongs to the Malay or Indonesian language family. The Rejang language not only has a structured morphology but also a script, namely the Kaganga script. Until now there has been no research examining the Rejang language regarding the Rejang language information system based on natural language processing (NLP) in Bengkulu province for the preservation of local culture. The result of this research is a Rejang language information system application that displays information about digital dictionaries, translators and Rejang cultural information that is useful for the people of Bengkulu Province.
DIKLAT RISET TERAPAN BAGI GURU SMK PUSAT KEUNGGULAN Wibowo, Sastya Hendri; Toyib, Rozali; Darnita, Yulia; Muntahanah, Muntahanah; Witriyono, Harry; M. Imanullah, M. Imanullah; Darmi, Yulia
JE (Journal of Empowerment) Vol 3, No 1 (2022): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i1.2035

Abstract

Pendidikan dan Pelatihan (Diklat) Riset Terapan merupan salah satu agenda yang terdapat pada pendampingan SMK Pusat Keunggulan. Kegiatan berfokus pada peningkatan keterampilan sumber daya manusia terutama guru yang mengajar di SMK Pusat Keunggulan. Tujuan Pendidikan dan Pelatihan (Diklat) adalah memberikan pelatihan bagai para guru dengan materi tentang hasil riset para instruktur yang juga dosen di Program Studi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Bengkulu yang dapat kolaborasikan di SMK Pusat Keunggulan,  seperti animasi dengan open source, dan natural language processing.  Pelatihan ini berlangsung selama 5 hari dengan metode sinkron dan asinkron.  Asinkron adalah penyampaian materi secara langsung antara instruktur kepada peserta (luring), sedangkan asinkron adalah penyampaian materi secara tidak langsung atau dalam bentuk tugas mandiri yang telah diberikan oleh instruktur sebelumnya.
Co-Authors A.R Walad Mahfuzhi Abdillah, Muhammad Harits Adi, Puput Dani Prasetyo Afredo Fadlikal Ilham Aditama Ajib Hanani Apriansyah, Nugraha Apridiansyah, Yovi Ari Wibowo Bima Aditiansyah Darnita , Yulia Darnita, Yulia Diana Diana Diana Diana Dio Syahputra Ede Ilham Egia Apriansyah Emel Lia Utari Gading Cempaka Ganis Chandra Puspitadewi Gugi Walus Riman Handayani, Sri Harry Soepandi Harry Witriyono Harry Witriyono Witriyono Harry Witryono hidayah, agung kharisma Imanullah, Muhammad Johan Ericka Wahyu Prakasa Joshi, Jericko Vivaldo Juhardi, Ujang Khairullah Khairullah, Khairullah Khakim, Ahmad Nuril Kitagawa, Akio KMS M Yeri Habibullah M. Imanullah, M. Imanullah Malik Fajar Alamsyah Maria Veronika, Nuri David Mawarni, Shindy Muhammad Fajhry Amir Muhammad Imanullah Muhammad Yassir Muntahanah Muntahanah, Muntahanah Muntahannah Muntahannah Nanda Yugo Pangestu Nora Fransiska Nuri David Maria Veronika Onsardi Putra Andika, Febby Rojali Toyib Rozali Toyib Safrizal, Edy Sandi Anggara Sapitri Ramadhani Sapitri Ramadhani Surya Ade Saputera Suwandi Ramadhan Taufiq Syaifullah Toyib, Rozali Wahyu Nugroho Wahyu Redo Ilahi Wilio Papian Witriyono, Harry Yeri Habibullah, KMS M Yulia Darmi Yulia Darnita Yulia Darnita