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All Journal Jurnal Konseling dan Pendidikan Jurnal Media Infotama Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IJIS - Indonesian Journal On Information System Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informasi dan Pendidikan Journal of Technopreneurship and Information System (JTIS) JATI (Jurnal Mahasiswa Teknik Informatika) SINTA Journal (Science, Technology, and Agricultural) Djtechno: Jurnal Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi Jurnal Sistem Informasi Dan E-Bisnis JURNAL BESEMAH Mestaka: Jurnal Pengabdian Kepada Masyarakat El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Al-Maun Jurnal Riset Multidisiplin Edukasi Jurnal TAM (Technology Acceptance Model) JCOSIS (Journal Computer Science and Information Systems)
Guntur Alam
Universitas Muhammadiyah Bengkulu
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Design Of A Patient Information System For Covid – 19 Using PHP At Mukomuko Hospital Trisista, Adinda; Juhardi, Ujang; Alam, Guntur; Reswan, Yuza
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1265

Abstract

The design of a COVID-19 patient information system using PHP Muko-muko Hospital has been successfully created which includes patient identity data confirmed for COVID-19, clinical information for COVID-19 patients, monitoring information for confirmed COVID-19 patients, and reports on COVID-19 patient data. -19. This system has been neatly designed to make it easier for officers to find data on COVID-19 patients who have been monitored or have not been monitored when applied to the real system.
SWOT Analysis To Determine Competitive Strategy In Yakusa Laundry Business Putra, Arbeiansah Pratama; Saputera, Surya Ade; Alam, RG Guntur; Erwadi, Yetman
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1794

Abstract

In this era of modern development, there is a lot of competition throughout the industrial world, including inside and outside the industry. This also happens because changes in the field of technology are increasingly rapid and precise. In conditions of rapid technological development, this is possible for business actors, especially companies, this situation is no longer surprising when operating in the field of commodity operations, in this case company management will compete with each other through various media to improve the sales process to current marketing consumers. This example is Yakusa Laundry. The author's aim in conducting research on the Yakusa laundry business aims to identify and analyze SWOT, namely strengths, weaknesses, opportunities, threats, such as competitive strategies to increase competitiveness. on the Yakusa Laundry business. This research uses a descriptive qualitative approach, data collection techniques using narrative data methods, namely oral and written interviews, observation and documentation. Investigation of informants is based on relevance and adequacy. The results of research regarding marketing strategies in increasing competitiveness at Yakusa Laundry show an increase in competitiveness, this is proven by the company's control of market share.
Implementation Of Apriori Data Mining Algorithm To Increase Sales Of Caringin Shop Supriadi, Supriadi; Gunawan, Gunawan; Alam, RG. Guntur; Abdullah, Dedy
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1799

Abstract

The caringin shop is a shop that sells daily household and kitchen needs. Caringin shop sales tend to stagnate because in the last few months there has been no significant increase in turnover and tight business competition where the large number of similar shops has become a problem. This requires a precise and careful marketing strategy. This research implements an a priori algorithm as a marketing strategy. The data used was 146 transactions for 1 week. The analysis was carried out manually using Microsoft Excel and libraries in the Python programming language that supports apriori algorithms packaged in a simple web-based application. The analysis resulted in a conclusion that if a consumer buys sugar, then the tendency is to buy coffee with a confidence level of 65% supported by a support value of 10% of all transactions with a lift ratio of 3.9, if buying coffee, then the tendency is to buy sugar with a confidence level of 62% supported by a support value of 10% of all transactions with a lift ratio of 3.9, and if buying eggs, then the tendency is to buy instant noodles with a confidence level of 61% supported by a support value of 11% of all transactions with a lift ratio of 2.8.
Comparison Of Population Prediction Of Bengkulu Selatan Regency With Python And SPSS Sulasono, Heri; Abdullah, Dedy; Alam, RG. Guntur; Gunawan, Gunawan
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1801

Abstract

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Pengembangan Sistem Informasi Sekolah Dasar Menggunakan Information Systems Implementation Research Method (ISI-RM) Alam, RG Guntur; selviani, pebi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6202

Abstract

Saat ini penyampaian informasi yang dilakukan oleh Sekolah Dasar masih sangat kurang, penyampaian informasi yang digunakan hanya berupa spanduk dan informasi lisan. Dengan demikian, penyebaran informasi tentang Sekolah Dasar dinilai kurang efektif dan masih terdapat banyak kekurangan, seperti konten informasi yang terbatas dan cakupan penyebaran informasi yang tidak luas. Setelah beberapa dekade pada pengembangan penelitian sistem informasi pada bidang pembahasan tertentu berfokus pada implementasi dan penggunaan sistem informasi. Maka pada penelitian ini akan menggunakan pendekatan Information Systems Implementation Research Method (ISI-RM) dimana pada metode ini dikembangkan pendekatan metode penelitian baru dengan menggabungkan dua pendekatan kualitatif dan kuantitatif berdasarkan teori yang relevan. Hasil dari pengelitian ini yaitu pengembangan prototype sistem informasi dapat dikembangkan dengan sangat baik menggunakan pendekatan ISI-RM. Hasil ini dapat dibuktikan berdasarkan hasil pengukuran tingkat keberhasilan pengembangan prototype menggunakan teknik blackbox dengan menggunakan aspek functionality mendapatkan rata-rata nilai X lebih dari 0,5 dan mendekati 1, yaitu 0,786. Sedangkan berdasarkan aspek usability mendapatkan hasil kelayakan 94,21%.
PENGGUNAAN METODE SYSTEM USABILITY SCALE (SUS) PADA APLIKASI SIMAMURAT Alam, RG Guntur; Puji Rahayu Kurniasih
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6209

Abstract

The application of an information system in a State University as an education provider is very important to obtain faster and more accurate information. One of the application systems used at Fatmawati Sukarno State Islamic University Bengkulu is the Mail Management Information System (SIMAMURAT). To determine the level of usefulness of a system / application, it is necessary to do testing. Testing can be done using the System Usability Scale (SUS) method. System Usability Scale (SUS) is one approach used to measure the level of usability or usability of a system or product based on user perception. This method was developed by John Brooke in 1986 and has become one of the standard methods in usability evaluation. The average score obtained from the calculation of SUS respondents using the SIMAMURAT application is 70.03. From these results, it can be seen that the Percentil Rank in the SIMAMURAT application is in the Good category, while the Grade in the SIMAMURAT application is C which shows the average, for Adjectives in this study it is classified as OK, while in Acceptability it is in the marginal category and for NPS classification, it is passive. From the results of this study, it can be concluded that the SIMAMURAT Application can be declared feasible based on Usability based on the SUS method.
Menelusuri gejala depresi dalam ranah digital: analisis status whatsapp di kalangan mahasiswa Alam, RG Guntur; Muryono, Sigit
Jurnal Konseling dan Pendidikan Vol 12, No 3 (2024): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1110300

Abstract

Depresi merupakan kondisi umum yang sering kali tidak terdiagnosis di kalangan mahasiswa. Status WhatsApp di jejaring sosial di kalangan mahasiswa dapat menampilkan indikasi depresi yang mereka alami. Penelitian ini bertujuan untuk mengevaluasi pengungkapan status WhatsApp mahasiswa yang memenuhi kriteria Diagnostic and Statistical Manual of Mental Disorders (DSM) untuk gejala depresi atau episode depresi mayor (EDM).  Studi ini menggunakan pendekatan kuantitatif dengan desain studi observasional lintas-seksional untuk mengamati pengungkapan gejala depresi dan pola penggunaan WhatsApp pada mahasiswa di Universitas Muhammadiyah Bengkulu. Data dikumpulkan dari pembaruan status WhatsApp yang tersedia publik dalam grup-grup mahasiswa antara 1 Mei 2023 dan 1 Mei 2024. Status WhatsApp yang dievaluasi adalah yang diunggah oleh mahasiswa tahun ketiga dan keempat studi mereka. Analisis regresi binomial negatif digunakan untuk memodelkan hubungan antara pengungkapan depresi dan demografi atau karakteristik penggunaan WhatsApp di kalangan mahasiswa. Sebanyak 150 status dievaluasi, dengan pemilik status terdiri dari 43,5% perempuan dan usia rata-rata 20 tahun. Secara keseluruhan, 31,3% status menampilkan gejala depresi dan 2,5% memenuhi kriteria untuk EDM. Mahasiswa umumnya menunjukkan gejala yang konsisten dengan depresi melalui status WhatsApp. Oleh karena itu, WhatsApp dapat menjadi salah satu jalur inovatif untuk melawan stigma seputar kondisi kesehatan mental, atau untuk mengidentifikasi mahasiswa yang berisiko mengalami depresi.
Penerapan Logika dan Algoritma Pemrograman untuk Meningkatkan Keamanan Data Warga Desa Rantau Panjang dalam Sistem Informasi Desa Harianto, Ozi; Rifqo, Muhammad Husni; Alam, RG Guntur; Juhardi, Ujang
SINTA Journal (Science, Technology, and Agricultural) Vol. 5 No. 2 (2024)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.5.2.145-152

Abstract

Current advances in technology and information are always related to all human activities. Computers are very important to make human work easier because they can manage data faster than humans. This research aims to protect the data of Rantau Panjang village residents, which is a very important data source, from the village information system using the AES (Advanced Encryption Standard) algorithm. The developmental method is used to solve this research problem. This method aims to determine growth patterns or changes over time. This research was completed using Xampp and Notepad++. This study found that the AES (Advanced Encryption Standard) algorithm can keep citizen data in village information systems safe. The result is that a cryptographic method that uses the AES algorithm in the PHP programming language can help keep citizen data in the village information system more secure. The AES algorithm is a powerful data security algorithm that can be used in the PHP programming language when developing applications. A deep understanding of cryptographic techniques and the use of the AES algorithm in PHP is required.
Menelusuri gejala depresi dalam ranah digital: analisis status whatsapp di kalangan mahasiswa RG Guntur Alam; Sigit Muryono
Jurnal Konseling dan Pendidikan Vol. 12 No. 3 (2024): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1110300

Abstract

Depresi merupakan kondisi umum yang sering kali tidak terdiagnosis di kalangan mahasiswa. Status WhatsApp di jejaring sosial di kalangan mahasiswa dapat menampilkan indikasi depresi yang mereka alami. Penelitian ini bertujuan untuk mengevaluasi pengungkapan status WhatsApp mahasiswa yang memenuhi kriteria Diagnostic and Statistical Manual of Mental Disorders (DSM) untuk gejala depresi atau episode depresi mayor (EDM).  Studi ini menggunakan pendekatan kuantitatif dengan desain studi observasional lintas-seksional untuk mengamati pengungkapan gejala depresi dan pola penggunaan WhatsApp pada mahasiswa di Universitas Muhammadiyah Bengkulu. Data dikumpulkan dari pembaruan status WhatsApp yang tersedia publik dalam grup-grup mahasiswa antara 1 Mei 2023 dan 1 Mei 2024. Status WhatsApp yang dievaluasi adalah yang diunggah oleh mahasiswa tahun ketiga dan keempat studi mereka. Analisis regresi binomial negatif digunakan untuk memodelkan hubungan antara pengungkapan depresi dan demografi atau karakteristik penggunaan WhatsApp di kalangan mahasiswa. Sebanyak 150 status dievaluasi, dengan pemilik status terdiri dari 43,5% perempuan dan usia rata-rata 20 tahun. Secara keseluruhan, 31,3% status menampilkan gejala depresi dan 2,5% memenuhi kriteria untuk EDM. Mahasiswa umumnya menunjukkan gejala yang konsisten dengan depresi melalui status WhatsApp. Oleh karena itu, WhatsApp dapat menjadi salah satu jalur inovatif untuk melawan stigma seputar kondisi kesehatan mental, atau untuk mengidentifikasi mahasiswa yang berisiko mengalami depresi.
Implementasi Metode Pattern-Based Natural Language Processing (NLP) Pada Chatbot Rahayu, Tri; Agung Kharisma Hidayah; Hary Witriyono; Khairullah; RG Guntur Alam
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.6739

Abstract

Natural Language Processing (NLP) based chatbots are increasingly used in various applications, ranging from customer service to education. One simple yet effective approach to implementing NLP on a chatbot is the pattern-based method, which uses language patterns to understand and respond to user input. This research aims to implement the pattern-based NLP method on a chatbot and evaluate its performance using the BLEU metric. Conversation data is collected and analyzed to identify common patterns, which are then mapped into appropriate responses. Testing was done by measuring the level of bigram match between the chatbot response and the reference response, where the BLEU-2 precision reached a value of 0.75 or 75%. These results show that the pattern-based method is capable of generating relevant responses but still requires refinement to achieve higher accuracy.
Co-Authors AA Sudharmawan, AA Abdullah, Dedy Abid Aprialdi Amrul Faruq Andi Lala Andilala, Andilala ANDRI KURNIAWAN Apridiansyah, Yovi Ardi wijaya Ardi wijaya Ariyanti, Widya Cahyo Prihantoro ewika dwi wulandari Fikri Agnesa Putra Fitriah Fransiska, Nora Geri Rizki Ramadani Gunawan Gunawan Gunawan Gunawan Gunawan Handayani, Sri Harianto, Ozi Harry Witriyono Hary Witriyono Helen Anggraini Hidayah, Aditia Hidayah, Agung Karisma hidayah, agung kharisma Jaka Rapino Juhardi, Ujang Karnedi, Gunawan Khairullah Khairullah, Khairullah Kirman Kirman Kirman, Kirman Lena Utami Lestari, Putri Dwi Lety Lestari Lingga, Ravi Putra Lorensya, Cintia Novita Machmud Effendy Mahendra, Yusril Mahfuzhi, A.R Walad Mahfuzi, AR. Walad mawanti, desti Monsya Juansen muhammad fikri Muntahanah, Muntahanah Mutiara Hikmah Nengsi, Elta Putri Setia Netra Ayu Nita, Taura Puji Rahayu Kurniasih Putra, Arbeiansah Pratama Putra, Fikri Agnesa Rajes Andika Putra Ramzi, Reja Muhamad Randi Riski Ananda Rexcy Elsan Rido Syahputra Rifqo, Muhammad Husni sabri, melzan sabri Selta Jaya Putra selviani, pebi Sigit Muryono Sri Handayani Sulasono, Heri Surya Ade Saputera Toyib, Rozali Tri Rahayu Trisista, Adinda Vendy Handoyo Wicaksono, Rama Iqbal Wijaya, Ardi Wulandari, Ardeya Yetman Erwadi Yunus Hidayat Yusril Mahendra Yuza Reswan