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All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi Computer Engineering and Applications Journal (ComEngApp) Perfecting a Video Game with Game Metrics JUITA : Jurnal Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Computer Engineering and Applications Journal (ComEngApp) Jurnal Informatika Upgris Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Matrik Indonesian Journal of Information System JMM (Jurnal Masyarakat Mandiri) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Indonesian Community Journal International Journal of Advanced Science Computing and Engineering AnoaTIK: Jurnal Teknologi Informasi dan Komputer Jurnal INFOTEL
Ahmad Sanmorino
Universitas Indo Global Mandiri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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A Review for the Mechanism of Research Productivity Enhancement in the Higher Education Institution Ahmad Sanmorino; Fitrah Karimah
International Journal of Advanced Science Computing and Engineering Vol 3, No 1 (2021)
Publisher : Excelligent Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.333 KB) | DOI: 10.30630/ijasce.3.1.43

Abstract

The main purpose of this review is to find out the mechanism of research productivity enhancement proposed by each researcher in the papers they have published. The availability of these various mechanisms raises the desire of the authors to compare each mechanism. The focus of the review lies in the mechanism, characteristics, source of data, and evaluation methods used by each researcher. The review then jumps to the results obtained by each mechanism. The author also compares the types of data used by each researcher and the parties involved in the mechanism. There are some differences in the use of terminology between one to another mechanism, but in essence, it has the same goal, research productivity enhancement.
PENINGKATAN PRODUKSI BRIKET ARANG DENGAN METODE TANGSIR PADA UMKM BRIKET ALFARO DI SEKAYU KABUPATEN MUSI BANYUASIN Terttiaavini Terttiaavini; Tedy Setiawan Saputra; Ahmad Sanmorino
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 3 (2023): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i3.15129

Abstract

Abstrak: Kelapa sawit merupakan salah satu komuditi hasil bumi di kota Sekayu Kabupaten Musi Banyuasin Provinsi Sumatera selatan. Sisa produksi kelapa sawit menghasilkan tankos. Tankos dapat menjadi limbah, jika tidak dimanfaatkan. Saat ini penanganan limbah tankos dilakukan dengan cara dibakar atau dijadikan pupuk. Namun hal ini menimbulkan permasalahan, yaitu pembakaran tankos dapat menimbulkan polusi udara, untuk menjadi pupuk, tankos dibiarkan sampai membusuk. Proses pembusukan ini dapat mengundang hewan jelata dan serangga. Oleh karena itu penanganan limbah sampah perlu dilakukan dengan cara dikelolah menjadi briket. Tujuan dari kegiatan PKM ini adalah memberikan pelatihan tentang penerapan metode tangsir untuk mempercepat proses karbonisasi pada limbah tankos. Jumlah peserta dari mitra yang mengikuti kegiatan tersebut adalah 5 orang. Selain itu mahasiswa yang dilibatkan akan mendapatkan pengetahuan tentang membangun bisnis pembuatan briket. Evaluasi dilakukan dengan cara penilaian sebelum dan sesudah pelatihan Hasil evaluasi menujukkan adanya peningkatan softskill dan hardskill peserta sebesar 53%. Hal ini menunjukkan bahwa Kegiatan PKM ini memberikan manfaat bagi UMKM Briket Alfaro dan Mahasiswa.Abstract: Oil palm is one of the commodities produced in Sekayu District, Musi Banyuasin Regency, South Sumatra Province. The remaining oil palm production produces tankos. Tankos can become waste, if not utilised. Currently, the handling of tankos waste is done by burning or making fertiliser. However, this causes problems, namely burning tankos can cause air pollution, to become fertiliser, tankos is left to rot. This decomposition process can attract animals and insects. Therefore, waste management needs to be done by processing it into briquettes. The purpose of this PKM activity is to provide training on the application of the tangsir method to speed up the carbonization process in tankos waste. The number of participants from partners who took part in this activity was 4 people. In addition, the students involved will gain knowledge about building a briquette-making business. In evaluation activities, carried out by way of assessment before and after training. The evaluation results showed an increase in soft skills and hard skills of participants by 53%. This right shows that this PKM activity provides benefits for Alfaro Briquette MSMEs and students.
Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Rendra Gustriansyah; Shinta Puspasari; Ahmad Sanmorino; Nazori Suhandi; Fery Antony
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 6, No 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2425

Abstract

Abstract: The Public Health Center (Puskesmas) is a driving center for health-oriented development, empowering societies and families, and first-level health service is responsible for improving the quality of its services by delivering relevant, fast, and targeted information to achieve its vision and mission. Especially during the Covid-19 pandemic some time ago, the role of the Puskesmas laboratory as the frontline of the first-level health service center in examining Covid-19 symptoms and carrying out vaccinations is essential. Therefore, this community service activity aims to implement a web-based laboratory application at the Gandus health center to assist laboratory staff in completing, collecting, processing, and presenting data in a more structured, easy-to-read, timely, and accurate manner. The stages of the activity include interviews, discussions, patient data collection and laboratory examinations, application installation, and socialization of its use. This activity can improve the quality of laboratory services and add value to the accreditation of the Puskesmas.Keywords: application; laboratory; Public Health Center; service  Abstrak: Puskesmas sebagai pusat penggerak pembangunan berwawasan kesehatan, pemberdayaan masyarakat, keluarga dan tempat pelayanan kesehatan tingkat pertama bertanggung jawab meningkatkan mutu layanannya melalui penyampaian informasi yang relevan, cepat dan tepat sasaran kepada pasien, dalam upaya mencapai visi dan misinya. Terutama di saat pandemi Covid-19 beberapa waktu yang lalu, maka peran laboratorium di puskesmas sebagai garda terdepan pusat layanan kesehatan tingkat pertama dalam pemeriksaan gejala Covid-19 dan pelaksanaan vaksinasi menjadi penting. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan aplikasi laboratorium berbasis web di puskesmas Gandus dalam upaya untuk membantu staf laboratorium dalam melengkapi, mengumpulkan, memproses, dan mempresentasikan data secara lebih terstruktur, mudah dipahami, akurat, dan tepat waktu. Tahapan kegiatan meliputi wawancara, diskusi, pengambilan data pasien dan pemeriksaan laboratorium, instalasi aplikasi, serta sosialisasi penggunaannya. Kegiatan ini dapat berkontribusi untuk meningkatkan kualitas layanan laboratorium dan menambah nilai akreditasi puskesmas.Kata kunci: aplikasi; laboratorium; layanan; puskesmas
ANALISIS LAYANAN WEBSITE PERPUSTAKAAN SUMATERA SELATAN DALAM MENINGKATKAN KEPUASAN PENGGUNA Masroni Dedi Kiswanto; Terttiaavini Terttiaavini; Ahmad Sanmorino
Jurnal Ilmiah Matrik Vol 19 No 3 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.951 KB) | DOI: 10.33557/jurnalmatrik.v19i3.389

Abstract

The purpose of this study is to analyze the factors that affect user satisfaction on the website library South Sumatra using webqual 4.0 method. Data collection in this research is done by spreading kuisioner to 40 respondent. The result of correlation test in research shows that the quality of usage and quality of information have a positive relationship while the quality of interaction has a negative relationship with user satisfaction. When viewed based on t test shows that the variable quality of usage and quality of information have a positive effect on user satisfaction library website south sumatera. While the quality of interaction variables do not have a positive effect on user satisfaction library website of South Sumatera, thus the quality of library service website of South Sumatera needs to be increased in order to increase user satisfaction.
PENINGKATAN FASILITAS LAYANAN INFORMASI MUSEUM DR. AK. GANI LEWAT PERANCANGAN BROSUR INOVATIF PADA PAMERAN BERSAMA MUSEUM SE-SUMSEL Shinta Puspasari; Rendra Gustriansyah; Dwi Asa Verano; Ahmad Sanmorino
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i2.3209

Abstract

Museum dr.AK.Gani memerlukan media promosi untuk menarik masyarakat berkunjung ke museum fisik yang menyimpan koleksi bersejarah peninggalan sang pahlawan nasional. Pada pameran bersama museum di Sumatera Selatan, museum dr.AK.Gani turut berpartisipasi dengan memamerkan sejumlah koleksi namun tidak cukup informatif dikarenakan terbatasnya ruang pamer dan petugas yang dapat mempromosikan keberadaan museum. Kegiatan pengabdian kepada masyarakat ini bertujuan merancang brosur inovatif yang memiliki luaran berupa media promosi dalam bentuk brosur yang dapat disebarluaskan kepada pengunjung pameran secara cepat. Brosur dirancang berbasis teknologi Google Map yang memudahkan pengunjung menuju lokasi museum dipandu oleh aplikasi Google Map. Informasi yang dimuat dalam brosur mendeskripsikan museum dan mengilustrasikan koleksi serta bangunan museum dr.AK.Gani sehingga diharapkan dapat menarik minat kunjungan wisata sejarah masyarakat. Hasil evaluasi kegiatan menunjukkan bahwa brosur yang dibuat mempu memberikan informasi yang menarik minat masyarakat berkunjung ke museum dr.AK.Gani. Rata-rata pengunjung setuju bahwa brosur yang dirancang efektif memberikan informasi tentang museum dr.AK.Gani dan meningkatkan minat untuk datang berwisata ke museum fisik. Mitra PkM menyatakan bahwa brosur inovatif sudah sesuai untuk kebutuhan fasilitas layanan informasi museum dr.AK.Gani. 
Deteksi Intrusi Siber pada Sistem Pembelajaran Elektronik berbasis Machine Learning Amirah; Ahmad Sanmorino
Jurnal Ilmiah Informatika Global Vol. 14 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i2.3227

Abstract

This study aims to develop a mechanism for detecting machine learning-based cyber intrusions in electronic learning systems. In today's digital era, e-learning systems have become an integral part of education and training, providing global accessibility and more interactive learning efficiency. However, security and privacy challenges are becoming critical issues due to the increasingly real threat of cyber intrusion. Attackers try to take advantage of vulnerabilities and weaknesses in e-learning systems to steal sensitive data or disrupt operations. To overcome this problem, this study focuses on the use of artificial intelligence technologies, especially machine learning, to proactively detect and respond to intrusive threats. Through e-learning security analysis, identification of weaknesses, and potential loopholes for cyber-attacks, the most suitable machine learning algorithms are selected to detect patterns and signs of intrusion attacks on network data. The evaluation results show that several machine learning algorithms, such as SVM and Decision Tree, have good performance in recognizing cyber intrusions with high accuracy, precision, recall, F1-score, and ROC-AUC. By implementing machine learning-based intrusion detection technology, it is expected that electronic learning systems can be more proactive in identifying and responding to intrusion threats before significant damage occurs. This research has significant benefits in increasing security and privacy in the use of electronic learning systems. In addition, this study is expected to be a reference for further research in the world of cyber security and the application of artificial intelligence technology in supporting digital security.
Analisis Kualitas Website Disdukcapil Banyuasin Terhadap Kepuasan Pengguna Arvia Fildzah Suharmanto; Ahmad Sanmorino; Abdul Kholik
Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau Vol 5 No 2 (2023): Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya
Publisher : STMIK Bina Nusantara Jaya Lubuk Linggau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52303/jb.v5i2.125

Abstract

Penelitian ini bertujuan untuk menganalisis kualitas website Dinas Kependudukan dan Pencatatan Sipil Kabupaten Banyuasin agar pihak pengelola atau penyedian layanan website dapat mengetahui sejauh mana kualitas website bisa memenuhi keinginan dari seluruh penggunanya. Sampel yang digunakan sesuai rumus slovin dengan perkiraan tingkat kesalahan 5% adalah 400 responden. Pengumpulan data dengan penyebaran kuesioner dalam bentuk google form. Metode yang digunakan yaitu metode webqual 4.0 yang terdiri dari 3 variabel yaitu X1 (kegunaan), X2 (kualitas informasi) dan X3 (kualitas interaksi). Untuk mengukur pengaruh antara variabel bebas terhadap variabel terikat menggunakan uji hipotesis yaitu uji F, uji T dan uji R. Hasil penelitian ini menyimpulkan bahwa variabel X1 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 6,404>ttabel 1,960 dan signifikansi 0,000<0,05. Variabel X2 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 2,688 >ttabel 1,960 dan signifikansi 0,007<0,05, sedangkan variabel X3 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 3,1616 >ttabel 1,960 dan signifikansi 0,000<0,05. Hasil juga moderat dengan uji R sebesar 46,9%.
Forecasting a museum visit post pandemic using exponential smoothing model Shinta Puspasari; Rendra Gustriansyah; Ahmad Sanmorino
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.949

Abstract

This paper aims to evaluate the performance of a machine learning model for predicting the number of visitors to a museum after the COVID-19 pandemic. The easing of policies that began to be implemented by the Palembang city government after the end of the pandemic at the end of 2022 became a momentum in predicting the number of visits to the SMBII museum. During the pandemic the museum experienced a very drastic decline due to closures and restrictions on activities at the museum and had an impact on achieving the museum's targets in the fields of tourism and education. Museum managers need to establish a strategy as an effort to achieve the targets set during the post-pandemic period. This study predicts the number of visits to the SMBII museum in post-pandemic years by applying the double exponential smoothing (ESM) model. The dataset used is SMBII museum visit data which is divided into three categories of visitors, namely students, local and foreign. The evaluation results show that the double ESM model has the best performance with MSE = 3.8 and a = 0.9. The phenomena that occurred in the student visitor category affected ESM's performance in predicting visits where MSE in the post-pandemic period had a 200% higher value than before the pandemic which was influenced by the implementation of post-pandemic policies in museums. With the forecasting results in this study, it is hoped that it can become information in developing strategies and improving the performance of post-pandemic museums
Metode Pembelajaran Mesin untuk Memprediksi Status Gizi Balita Rendra Gustriansyah; Nazori Suhandi; Shinta Puspasari; Ahmad Sanmorino
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.988

Abstract

Malnutrition is one of the leading health problems experienced by toddlers in various countries. Based on the 2022 Indonesian Nutritional Status Survey results, malnutrition in children under five in Indonesia is higher than the average malnutrition in Africa and globally. Therefore, a way is needed to predict the nutritional status of children under five early and quickly so that the Government (through District Health Office) can immediately provide the necessary treatment. This study aims to predict or classify the toddlers’ nutritional status based on age, body mass index (BMI), weight, and body length using various machine learning (ML) methods, namely naïve Bayes, linear discriminant analysis, decision tree, k-nearest neighbor, random forest, and support vector machine. The predictive performance of each ML method was evaluated based on accuracy, sensitivity, specificity, the area under curve, and Cohen's Kappa coefficient. The test results show that the RF method is the most recommended for predicting toddlers' nutritional status. The study's contribution is to obtain information about toddlers' nutritional status easier.
Improving Information Security with Machine Learning Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari; Juhaini Alie
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Co-Authors Abdul Kholik Ade Fathurahman Agustina Heryati Amirah Aprianita Kartini Arvia Fildzah Suharmanto Dhamayanti Dhamayanti Dhamayanti Dhamayanti Ditho Hersilava Dwi Asa Verano Faradillah Faradillah Fery Antony Fitrah Karimah Imelda Saluza, Imelda Isabella Isabella Isabella, Isabella Juhaini Alie Marnisah, Luis Masroni Dedi Kiswanto Megat Norulazmi Megat Mohamed Noor Nazori Suhandi Nining Ariati Nining Ariati Rendra Gustriansyah Rudi Heriansyah Sanza Vittria Wulanda Sartika, Dewi Setiadi Yazid, Setiadi Shinta Puspasari Shinta Puspasari Sunardi, Hastha Suryati Suryati Tedy Setiawan Saputra Terttiaavini, Terttiaavini Terttiaavini, Terttiaavini Terttiavini Yulianti, Evi