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All Journal Perfecting a Video Game with Game Metrics Techno: Jurnal Penelitian Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Informatika Mulawarman SMARTICS Journal International Research Journal of Business Studies (E-Journal) JTERA (Jurnal Teknologi Rekayasa) Jurnal Komtika (Komputasi dan Informatika) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMA InfoSys Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Respirologi Indonesia jurnal teknik informatika dan sistem informasi JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Generation Journal JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Buletin Profesi Insinyur Pharmaceutical Sciences and Research (PSR) Jurnal Penyakit Dalam Indonesia
Muhammad Alkaff
Universitas Lambung Mangkurat
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences

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Pemanfaatan Wireless Sensor Network Berbasis Internet Of Things Untuk Monitoring Lahan Gambut Jarak Jauh Muhammad Ziki Elfirman; Muhammad Alkaff
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 13, No 1 (2018): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.741 KB) | DOI: 10.30872/jim.v13i1.861

Abstract

Lahan gambut di Indonesia tersebar di beberapa pulau, yaitu Kalimantan, Sumatera dan Papua. Kalimantan Selatan merupakan salah satu provinsi yang memiliki lahan sawah dan lahan gambut terbesar di Indonesia, yaitu sekitar 250.000 hektar yang tersebar di beberapa kabupaten. Ada banyak manfaat dari lahan gambut, dua manfaat utamanya adalah kemampuan menyimpan sejumlah besar karbon dan kemampuan untuk menyimpan air hingga 13 kali beratnya. Sayangnya, lahan gambut setiap tahunnya mengalami penurunan, baik dari segi ukuran maupun kualitasnya. Upaya pemulihan telah dilakukan oleh pemerintah dan juga pengamat lingkungan baik Nasional maupun Internasional. Meski begitu, kondisi lahan gambut masih belum bagus. Banyak kendala yang dihadapi seperti luas lahan dan sulitnya lokasi menyebabkan biaya yang dibutuhkan untuk melakukan pengawasan dan pemeliharaan lahan gambut cukup tinggi. Untuk mengembalikan ratusan ribu lahan gambut dibutuhkan triliunan rupiah. Salah satu pendekatan yang dapat dilakukan untuk melestarikan lahan gambut adalah dengan pemantauan lahan gambut secara langsung dan teratur. Khususnya pada musim kemarau, lokasi lahan gambut awal dengan potensi kebakaran bisa dideteksi. Penelitian ini mengusulkan penggunaan Wireless Sensor Network (WSN) berbasis Internet of Things (IoT) untuk pemantauan lahan gambut terpencil. Dalam perkembangannya, diharapkan penelitian ini dapat menghasilkan prototipe peralatan pemantauan nirkabel untuk pemantauan lahan basah terutama lahan gambut.
Analisa Pengaruh Mobilitas Node Terhadap Kualitas Layanan Voice Call Pada Jaringan UMTS Muhammad Alkaff; Supeno Djanali; Henning Titi Ciptaningtyas
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1, No 1: April 2014
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.898 KB) | DOI: 10.25126/jtiik.201411103

Abstract

Abstrak IMS (IP Multimedia Subsystem) adalah bagian dari spesifikasi UMTS (Universal Mobile Telecomunication System) sesuai dengan release 5 dan 6. Telah banyak dilakukan penelitian tentang kinerja IMS namun umumnya dilakukan pada node UE (User Equipment) yang stationary. Penelitian ini bertujuan untuk meneliti pengaruh mobilitas UE terhadap kualitas layanan pada jaringan UMTS Release 5/6. Selain itu, juga akan dilakukan perbandingan pada kecepatan yang berbeda-beda untuk meneliti pengaruh perbedaan kecepatan tersebut terhadap kualitas layanan pada jaringan UMTS. Hasil uji coba menunjukkan, seiring dengan meningkatnya kondisi traffic, UE dengan kecepatan yang rendah mendapatkan hasil yang lebih baik jika dibandingkan dengan UE dengan kecepatan yang tinggi. Selain itu, pengaruh mobilitas UE menjadi semakin besar dengan bertambahnya kecepatan yang digunakan oleh UE. Secara umum, skenario dengan callee mobile mendapatkan hasil yang lebih baik seiring dengan bertambahnya kecepatan dan meningkatnya kondisi trafik. Kata kunci: IMS, Kecepatan, Mobilitas, UMTS Abstract IMS (IP Multimedia Subsystem) is a part of the specification of UMTS (Universal Mobile Telecommunications System) according to the release 5 and 6. Has done a lot of research on the performance of IMS but is generally performed on the UE node (User Equipment) that stationary. This study aimed to investigate the effect of mobility on the quality of service in the EU UMTS Release 5/6. In addition, comparisons will also be performed at different speeds to examine the effect of the speed difference to the quality of service in UMTS networks. Experimental results show, along with the increasing traffic conditions, the EU with a low speed get better results when compared to the EU with a high speed . In addition, the influence of EU mobility becomes larger with increasing speed used by the EU. In general, the scenario with mobile callee get better results with increasing speed and increasing traffic conditions. Keywords: IMS, Speed​​, Mobility, UMTS
Zakat Classification with Naïve Bayes Method in BAZNAS Yuslena Sari; Muhammad Alkaff; Eka Setya Wijaya; Gusti Nizar Syafi'i
TECHNO: JURNAL PENELITIAN Vol 10, No 1 (2021): Techno Jurnal Penelitian
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/tjp.v10i1.2750

Abstract

The National Amil Zakat Agency (BAZNAS) of the Banjar Regency, is the regional Zakat Management Agency of the Banjar Regency. BAZNAS Banjar Regency distributes the required alms according to the target to mustahik that is under the criteria or following the provisions of the Shari'a. However, BAZNAS often experiences difficulties in determining mustahik (people who are entitled to receive zakat) due to limited distribution funds and excessive data on Fakir and miskin people who are the main priority. The existence of a system that can determine two groups of recipients of the Fakir and miskin zakat based on data from the underprivileged population can help the distribution of zakat to these 2 groups. In this case, using the Naive Bayes method is very suitable in the classification of the BAZNAS mustahik determination so that it can be used to determine the prospective recipient of zakat. Based on the results of tests conducted on the Naïve Bayes classification with the Confusion Matrix calculation, the accuracy value reached 92.30%.
Inflammatory Markers upon Admission as Predictors of Outcome in COVID-19 Patients Budhi Antariksa; Erlina Burhan; Agus Dwi Susanto; Mohamad Fahmi Alatas; Feni Fitriani Taufik; Dewi Yennita Sari; Dicky Soehardiman; Andika Chandra Putra; Erlang Samoedro; Ibrahim Nur Insan Putra Darmawan; Hera Afidjati; Muhammad Alkaff; Rita Rogayah
Jurnal Respirologi Indonesia Vol 41, No 4 (2021)
Publisher : Perhimpunan Dokter Paru Indonesia (PDPI)/The Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/jri.v41i4.185

Abstract

Background: Coronavirus disease 2019 (COVID-19) may cause dysregulation of the immune system, leading to hyperinflammation. Inflammatory markers can be used to predict in-hospital mortality in COVID-19 patients. This research was aimed to investigate the association between the levels of various inflammatory markers and mortality in COVID-19 patients.Methods: This study was conducted at Persahabatan National Respiratory Referral Hospital, Indonesia. Blood tests were performed upon admission, measuring the C-reactive protein, PCT, leukocyte, differential counts, and platelet count. The outcome measured was the mortality of hospitalized COVID-19 patients. Statistical analysis methods included the Mann–Whitney U test, receiver operating characteristic (ROC) analysis, and area under the curve (AUC) test.Results: Total 110 patients were included, and the laboratory values were analyzed to compare survivors and non-survivors. The non-survivor group had significantly higher leukocyte count, lower lymphocyte count, higher CRP and PCT levels, higher neutrophil-to-lymphocyte ratio (NLR), higher platelet-to-lymphocyte ratio (PLR), and lower lymphocyte-to-CRP ratio. As predictors of mortality, AUC analysis revealed that PCT, CRP, NLR, and PLR had AUCs of 0.867, 0.82, 0.791, and 0.746, respectively.Conclusions: Routine and affordable inflammatory markers tested on admission may be useful as predictors of in-hospital mortality in COVID-19 patients requiring hospitalization.
Evaluasi Penerimaan Sistem Perencanaan dan Penilaian Anak Didik menggunakan Technology Acceptance Model Muhammad Alkaff; Muti'a Maulida; Arina Ihda Rahmah Syarifah
ULTIMA InfoSys Vol 12 No 1 (2021): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v12i1.1593

Abstract

Most teachers have difficulty in developing Learning Implementation Plans (RPP) due to the large number of instruments in the RPP that need to be made and adapted to the standard format. Likewise, when evaluating students, teachers need to look back at the lesson plan before conducting an assessment. Teacher activities in making lesson plans and assessing according to lesson plans are very time-consuming. Therefore, the Learning Planning and Assessment System for Students (SPADIK) was developed. This new application aimed to ease teacher effort in making learning plans and assessments for students at TK Khalifah Banjarmasin II. The teacher always welcomes the existence of new technology that can help their work. However, if the teacher cannot operate this new technology, they will certainly be in vain. Therefore, evaluation of acceptance of the SPADIK system is required by using the Technology Acceptance Model (TAM). This study uses a qualitative approach by conducting interviews with six kindergarten teachers of Khalifah Banjarmasin II, where this system was implemented. Data from interviews with teachers then reduced to a short description following the variables in the TAM model. From the results of testing with the TAM model, it was concluded that SPADIK could be accepted and used well by the teachers. Index Terms—evaluation; information system; RPP; students assessment; Technology Acceptance Model (TAM)
Sistem Peringatan Dini Keterlambatan Masa Studi Mahasiswa Menggunakan Metode Support Vector Machine Muhammad Alkaff; Eka Setya Wijaya; Akhmad Rojali
SMARTICS Journal Vol 6 No 2: SMARTICS Journal (Oktober 2020)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v6i2.4579

Abstract

Students graduating late from college are a common problem in universities. The study of students at universities is generally designed to be completed in 3.5 to 4 years. If a student has not graduated past that time, he is considered late in completing his education. Lambung Mangkurat University, as the oldest university in Kalimantan, also experienced these problems. Therefore, an early warning system was build to predict students' possibility of being late in completing their studies. This study uses a sample of students from the Faculty of Engineering, the University of Lambung Mangkurat, to predict students who will be late graduating from Lambung Mangkurat University since semester 5. This system was to develop using a model built using the Support Vector Machine (SVM) method. Model training conducted using 755 data from Lambung Mangkurat University Faculty of Engineering students from 2010 to 2014. Then, the performance of the model tested using 234 student data from 2015 and 2016. The parameters used were the number of credits, gender, GPA on semester 1 to 4, and study programs. The test results show that the model has good performance to predict students who will be late in completing their studies with 88.2% accuracy.
Sistem Rekomendasi Buku pada Perpustakaan Daerah Provinsi Kalimantan Selatan Menggunakan Metode Content-Based Filtering Muhammad Alkaff; Husnul Khatimi; Andi Eriadi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 20 No 1 (2020)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.987 KB) | DOI: 10.30812/matrik.v20i1.617

Abstract

Perpustakaan Daerah Provinsi Kalimantan Selatan merupakan salah satu perpustakaan dan pusat penyedia layanan informasi yang ada di Kalimantan Selatan. Namun. selama ini pengunjung perpustakaan kesulitan dalam mencari buku yang berkaitan dengan buku yang dipilih sebelumnya dan juga dalam menemukan alternatif buku lain ketika buku yang diinginkan tersebut telah dipinjam. Dengan adanya rekomendasi atau saran buku-buku lain yang berhubungan diharapkan membantu dalam mendapatkan buku yang sesuai dan diinginkan pengunjung perpustakaan. Pada penelitian ini penerapan sistem rekomendasi menggunakan metode Content-Based Filtering dalam memberikan rekomendasi buku yang bekerja dengan melihat kemiripan item yang dianalisis dari fitur yang dikandungnya dengan Weighted Tree Similarity. Berdasarkan hasil pengujian yang telah dilakukan pada 5 skenario pengujian yang diujikan dihasilkan nilai precision sebesar 88%.
Penerapan Generalized Regression Neural Networks untuk Memprediksi Produksi Padi Terhadap Perubahan Iklim Muhammad Alkaff; Yuslena Sari
JTERA (Jurnal Teknologi Rekayasa) Vol 2, No 2: December 2017
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v2.i2.2017.117-124

Abstract

Padi sebagai bahan makanan pokok utama bagi masyarakat Indonesia merupakan tanaman pangan yang rentan terhadap perubahan iklim. Pendataan dan perhitungan ramalan hasil produksi padi sangat diperlukan untuk mendukung kebijakan yang berkaitan dengan ketahanan pangan. Penelitian ini bertujuan untuk melakukan peramalan terhadap produksi padi di Kabupaten Barito Kuala sebagai kabupaten penghasil padi terbesar di Kalimantan Selatan dengan menggunakan data iklim sebagai input. Data iklim yang digunakan berasal dari Stasiun Meteorologi Syamsudin Noor, sedangkan sebagai data output adalah data produksi padi dari Badan Pusat Statistika (BPS) Provinsi Kalimantan Selatan. Metode yang digunakan untuk melakukan peramalan produksi padi adalah Generalized Regression Neural Networks (GRNN). Dari hasil pengujian didapatkan nilai Root Mean Square Error (RMSE) sebesar 0,296 dengan menggunakan parameter smoothness bernilai 1. 
Penerapan Pattern MVC (Model View Controller) dalam Pengembangan Aplikasi Identifikasi Jam Puncak Arus Lalu Lintas pada Simpang Lima Muhammad Alkaff; Iphan Fitrian Radam; Winarto Chandra
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol 6, No 2 (2021): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v6i2.4381

Abstract

Architecture patterns merupakan panduan dan petunjuk untuk membuat suatu aplikasi agar maintainable dan dapat dikembangkan dengan mudah, serta mempercepat proses pengembangan dengan menyediakan cara yang telah terbukti untuk menyelesaikan masalah yang terjadi dikemudian seperti yang dilakukan Model-View-Controller (MVC). Tujuan penelitian ini untuk membangun sistem yang dapat menyederhanakan proses kalkulasi dan sortir untuk menemukan jam puncak arus lalu lintas pada suatu simpang lima jalan raya berbasis website dengan menerapkan MVC dan melakukan pengujian code smell. Penerapan pattern MVC berhasil diterapkan pada pengembangan aplikasi identifikasi jam puncak arus lalu lintas pada suatu simpang lima jalan raya berbasis website, serta telah dilakukan pengujian code smell pada kode programnya dengan membandingkan pada kode program native (tanpa MVC). Berdasarkan hasil pengujian code smell di antara kode program menggunakan MVC dan yang tidak, didapatkan bahwa dalam 5 case MVC tidak ditemukan code smell, sedangkan kode program native ditemukan code smell pada 4 case dari 5 case yang diuji yaitu Duplicate Code, Long Method, Excessively long line of code (or God Line), Data clump, Excessively short identifiers, dan Middle Man.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN MEUBEL (STUDI KASUS: CV. FAJAR INDAH AMUNTAI) Windarsyah; Muhammad Alkaff
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 1 No. 1 (2016)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (890.07 KB) | DOI: 10.20527/jtiulm.v1i1.3

Abstract

One of the media information that is widely used by some companies today is desktop-based information systems where an application is expected to help facilitate in resolving a problem. Furniture Fajar Indah Amuntai in managing goods data, pricing and reporting the results of the transaction is still using paper media or notebook in storing such data, however, when there are changes in prices of goods then the data is written back in a new book, so the time and cost of wasted writing and buying new books. To identify the needs of the system in this study using data flow trending analysis. From the information obtained by the analysis conducted inputs, outputs and system processes that are expected, which is a facility operator to manipulate data, manipulate data items, records every sales transaction, it can display and print the report. With the analysis results can be obtained interface design is more user friendly and easy to use.
Co-Authors Agus Dwi Susanto Ainiyyah Ainiyyah Akhmad Rojali Aldy Heriwardito Andi Eriadi Andika Chandra Putra Andreyan Baskara ARIF RAHMAN, MUHAMMAD Arina Ihda Rahmah Syarifah Ariska Deffy Anggarany, Ariska Deffy Budhi Antariksa Ceva Wicaksono Pitoyo Dewi Rizqia Najipah Dewi Yennita Sari Dicky Soehardiman Eka Setya Wijaya Erlang Samoedro Erlina Burhan Feni Fitriani Taufik Gusti Nizar Syafi'i Hayatun Nufus Henning Titi Ciptaningtyas Hera Afidjati Herry Purnomo Husnul Khatimi Ibrahim Nur Insan Putra Darmawan Iphan Fitrian Radam Iphan Fitrian Radam Marimin Marimin Maya Amalia Mohamad Fahmi Alatas Muhammad Ridho A.G.D. Muhammad Ziki Elfirman Muti'a Maulida Nandang Eko Yulianto Paramita, Diana Rani Sauriasari, Rani Rita Rogayah Sugiantoro Sugiantoro Sukamto Koesnoe Sukardi Sukardi Supeno Djanali Supeno Djanali Takhwifa, Famila Wenny Puspita Winarto Chandra Windarsyah Windarsyah Yandra Arkeman Yulianto, Nandang Eko Yuslena Sari Yuslena Sari, Yuslena