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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Techno: Jurnal Penelitian Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Inspiration Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer SMARTICS Journal International Research Journal of Business Studies (E-Journal) IT JOURNAL RESEARCH AND DEVELOPMENT JTERA (Jurnal Teknologi Rekayasa) Jurnal Komtika (Komputasi dan Informatika) Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Respirologi Indonesia Journal of Electronics, Electromedical Engineering, and Medical Informatics JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Generation Journal JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Buletin Profesi Insinyur Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Berkelanjutan Pharmaceutical Sciences and Research (PSR) Jurnal Penyakit Dalam Indonesia Dalwa Islamic Economic Studies: Jurnal Ekonomi Syariah Nidhomiyyah: Jurnal Manajemen Pendidikan Islam International Research Journal of Business Studies JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika)
Muhammad Alkaff
Universitas Lambung Mangkurat
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities 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 Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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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.
Rancang Bangun Aplikasi E-Commerce Produk Desa Binaan Fakultas Teknik ULM Kecamatan Cempaka Banjarbaru Yuslena Sari; Husnul Khatimi; Muhammad Alkaff; Andreyan Rizky Baskara; Muti’a Maulida; Halimah Halimah; Nurul Qamaria
Buletin Profesi Insinyur Vol 2, No 2 (2019): Buletin Profesi Insinyur (Juli-Desember)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bpi.v2i2.45

Abstract

Desa Cempaka yang terletak di Banjarbaru Kalimantan Selatan merupakan desa pengrajin sasirangan dan produk-produk kerajinan lainnya. Banyak masyarakat yang berdatangan kesana untuk membeli kain sasirangan maupun produk buatan tangan lainnya karena dikenal dengan kualitasnya yang bagus. Tetapi dalam pengelolaan jual beli di Desa Cempaka, pembeli harus datang langsung ke tempat untuk melihat barang dan melakukan proses transaksi jual beli. Hal ini akan memakan waktu untuk pembeli dan bisa menyebabkan kurangnya minat pembeli untuk kerajinan di Desa Cempaka Banjarbaru. Dengan berkembangnya teknologi informasi saat ini banyak aplikasi yang membuat Online Shop untuk lebih mudah melakukan jual – beli dan menghemat waktu tanpa datang langsung ke toko yang kita inginkan. Perkembangan bisnis menggunakan Online Shop pun semakin meningkat seiring dengan banyaknya masyarakat yang menggunakan internet. Untuk itu kami membuat aplikasi Online Shop untuk memfasilitasi kerajinan yang ada di Desa Cempaka Banjarbaru. Penelitian ini mengaplikasikan metode waterfall dalam pengembangan sistemnya. Metode waterfall dipilih karena system ini akan berkelanjutan seiring dengan perkembangan bisnis di Desa Cempaka Banjarbaru. Tujuan dari penelitian adalah untuk mempermudah masyarakat yang ingin membeli produk kerajinan di desa cempaka sehingga dapat meningkatkan penjualan produk kerajinan dari Desa Cempaka.Kata kunci : online shop, waterfall, bisnis, Cempaka
Rancang Bangun Sistem Informasi Manajemen Pasien Puskesmas Alalak Tengah Muhammad Alkaff
Buletin Profesi Insinyur Vol 4, No 1 (2021): Buletin Profesi Insinyur (Januari-Juni)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bpi.v4i1.65

Abstract

Pelayanan kesehatan pada puskesmas merupakan garda terdepan untuk melaksanakan pelayanan publik. Puskesmas Alalak Tengah merupakan puskesmas yang ramai dikunjungi oleh pasien. Akan tetapi, dikarenakan pelayanan pasiennya masih dilakukan secara manual mengakibatkan pasien terlambat dilayani terutama dalam hal pendataan pasien dan system antrian di puskesmas tersebut. Oleh karena itu, diterapkanlah Sistem Informasi Manajemen Pasien pada Puskesmas Alalak Tengah. Aplikasi berbasis web ini dikembangkan dengan menggunakan Framework Laravel dengan metode Extreme Programming. Aplikasi ini dapat mempermudah dan mempercepat proses pelayanan pasien pada Puskesmas Alalak Tengah. Kata kunci: puskesmas, sistem informasi, laravel, extreme programming
The Effect of Heparinoid as Systemic Prophylactic Anticoagulants on COVID-19 Patient Mortality and Its Safety Profiles: A Systematic Review and Meta-Analysis Anggarany, Ariska Deffy; Sauriasari, Rani; Alkaff, Muhammad; Takhwifa, Famila; Nufus, Hayatun; Paramita, Diana
Pharmaceutical Sciences and Research Vol. 8, No. 3
Publisher : UI Scholars Hub

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

Abstract

Coagulopathy is one of the complications of COVID-19 and is associated with a higher risk of mortality. However, evidence regarding the effectiveness and safety of anticoagulant therapy in various doses among COVID-19 patients is limited. This systematic review and meta-analysis aims to review and explore the effect of using heparinoids as a systemic anticoagulant at prophylactic doses on mortality in COVID-19 patients. Systematic searches were conducted of various databases (Pubmed, ScienceDirect, SpringerLink, Scopus, and ProQuest) covering the period 2019-2021. We assessed the quality of the articles using the STROBE checklist. Studies with a high risk of bias were excluded before pooled effect size was synthesized with 95% confidence intervals (CI) using random-effects models. From the 12 identified studies (N=8,968), six observational studies (N=7,176) were involved in the meta-analysis. The studies reviewed in the paper used a retrospective cohort design in various settings. The pooled effect size of mortality comparing prophylactic anticoagulant and no anticoagulant in three studies showed that there was an association between using prophylactic anticoagulant and a lower risk of in-hospital mortality (pooled OR= 0.47; 95% CI 0.19-0.76). A prophylactic dose of heparinoid anticoagulant was also associated with lower mortality (pooled OR= 0.51; 95% CI 0.21-0.82) and with lower bleeding events compared to intermediate-to-therapeutic dose anticoagulants. Administration of heparinoid anticoagulants at prophylactic doses was associated with reduced mortality risk in hospitalized COVID-19 patients. Due to the increased risk of bleeding with therapeutic doses, the use of prophylaxis anticoagulant is suggested in COVID-19 patients who are not critically ill.
Analisis Faktor Penerimaan Dan Penggunaan Aplikasi Palui Baiman Menggunakan Technology Acceptance Model (TAM) Husnul Khatimi; Muhammad Alkaff; Muhammad Ridho A.G.D.
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1275

Abstract

The application of E-Government is a solution about how efforts to increase and benefit are obtained by the community from public services designed by the government under Mayor Regulation Number 41 of 2018 concerning E-Government Implementation utilizing Information Technology by forming an Android-based information system with the name Application Integrated Kelurahan Administration Services or can be called the "Palui Baiman" application. The Palui Baiman application is an application that can facilitate the means of submitting letters at the village level. The problem that arises is how the Palui Baiman application can be accepted by the people of Banjarmasin City. The objectives achieved in this study were to determine the level of acceptance and use of the people of Banjarmasin City towards the Palui Baiman application by applying the Technology Acceptance Model (TAM) and using the usefulness and convenience variables integrated with the acceptance variable. Based on the results of the analysis by applying multiple linear regression testing, it was concluded that the Palui Baiman application was able to increase public acceptance and use with the Banjarmasin City Government raising the value of ease of use of the application with the results obtained of 0.016.
Validation of ARISCAT Model Score to Predict PostoperativePulmonary Complications in Tertiary Referral Hospital inIndonesia Alkaff, Muhammad; Pitoyo, Ceva Wicaksono; Heriwardito, Aldy; Koesnoe, Sukamto
Jurnal Penyakit Dalam Indonesia Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

Introduction. There are several prediction model score instruments that can help to assess pulmonary preoperative evaluation and it is believed that ARISCAT model score is very simple to do and have good performance, but not widely used. This score has not been yet validated in Indonesia. This study aimed to assess the performance of discrimination and calibration of ARISCAT score in predicting postoperative pulmonary complication who underwent surgery in a tertiary referral hospital in Indonesia. Methods. A retrospective cohort study was conducted to assess the external validation of ARISCAT scores in the Indonesian population. This study involved patients underwent surgery at Cipto Mangunkusumo Hospital in 2017. Several variables were collected such as age, oxygen saturation, history of pulmonary infection, anemia, type of surgery, duration of operation, emergency surgery, and PPC that observed within 30 days after surgery. Discrimination was assessed by the area under the curve (AUC). Calibration was assessed by the Hosmer-Lemeshow test and calibration plot. Results. Of 428 patients studied, PPC was observed in 32% of patients. Discrimination of ARISCAT score was shown by AUC value of 88.2% (CI 95%; 84.1-92.2%). Hosmer-Lemeshow test showed p=0.052 and calibration plot revealed coefficient Jurnal Penyakit Dalam Indonesia | Vol. 6, No. 1| Maret 2019 | 3 Uji Validasi Skor ARISCAT dalam Memprediksi Komplikasi Paru Pascaoperasi di RS Rujukan Tersier di Indonesia r=0.968. Conclusion. ARISCAT model score has good discrimination and calibration performance and can be applied in the Indonesian population.
Hate Speech Detection for Banjarese Languages on Instagram Using Machine Learning Methods Muhammad Alkaff; Muhammad Afrizal Miqdad; Muhammad Fachrurrazi; Muhammad Nur Abdi; Ahmad Zainul Abidin; Raisa Amalia
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.2939

Abstract

Hate speech refers to verbal expression or communication that aims to provoke or discriminate against individuals. The Ministry of Communication and Information of Indonesia has encountered and dealt with 3,640 cases of hate speech transmitted through digital channels between 2018 and 2021. Particularly in South Kalimantan, hate speech in the local language, Banjarese has become increasingly prevalent in recent years. Surprisingly, there is a lack of research on using machine learning to detect hate speech in the Banjarese language, specifically on Instagram. Therefore, this study aimed to address this gap by constructing a dataset of Banjarese language hate speech and comparing various feature extraction and machine learning models to detect Banjarese language hate speech effectively. Thisresearch used several feature extraction techniques and machine learning methods to detect Banjareselanguage hate speech. The feature extraction methods used were Word N-Gram, Term Frequency- Inverse Document Frequency (TF-IDF), a combination of Word N-Gram and TF-IDF, Word2Vec, and Glove, while the machine learning methods used were Support Vector Machine (SVM), Na¨ıve Bayes, and Decision Tree. The results of this study revealed that the combination of TF-IDF for feature extraction and SVM as the model achieves exceptional performance. The average Recall, Precision, Accuracy, and F1-Score score exceeded 90%, demonstrating the model’s ability to identify Banjarese hate speech accurately.
Penerapan Metode XGBoost Untuk Memprediksi Jumlah Kejadian Kecelakaan Lalu Lintas di Kota Banjarmasin Alkaff, Muhammad; Baskara, Andreyan; Ainiyyah, Ainiyyah
Generation Journal Vol 7 No 1 (2023): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v7i1.19807

Abstract

Setiap tahunnya terjadi kecelakaan lalu lintas seperti yang tercatat pada data dari Polisi sejak tahun 2016 sampai dengan 2020 yang ditambah dengan data dari sosial media pada tahun 2021 sampai bulan Oktober. Selain berdasarkan data kecelakaan lalu lintas terdapat juga hal yang dapat mempengaruhi terjadinya kecelakaan seperti curah hujan. Berdasarkan permasalahan tersebut, penelitian ini akan melakukan prediksi terhadap jumlah kejadian kecelakaan lalu lintas yang akan terjadi di kota Banjarmasin menggunakan metode XGBoost. Data yang telah dikumpulkan akan diolah dalam rentang waktu bulanan serta pengujian model menggunakan dua metode yaitu RMSE untuk melihat tingkat error rate hasil prediksi dengan nilai nyata dan R-Squared atau R2 untuk melihat korelasi kecelakaan dengan curah hujan. Hasil penelitian menunjukkan metode XGBoost mendapatkan nilai RMSE sebesar 0.120 pada data per hari dengan variabel kecelakaan saja sedangkan nilai R2 mendapatkan 0.19 pada data per 4 bulan kebelakang dengan variabel kecelakaan dan curah hujan.
Sistem Monitoring dan Kontrol Tanaman Jeruk Siam Banjar Berbasis IoT Menggunakan Fuzzy Logic Control Alkaff, Muhammad; Fajar Zulkarnain, Andry; Iqbal Rizqi, Muhammad
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.9651

Abstract

South Kalimantan is one of the largest citrus fruit producers in Indonesia. One of the leading citrus fruit commodities in South Kalimantan is the Siam Banjar oranges (Citrus reticulata). This study developed a monitoring and control system for Siam Banjar orange plants based on IoT (Internet of Things) and Fuzzy Logic Control. The goal is to determine the performance of the Fuzzy Logic Control method in predicting the time to water plants based on temperature and soil moisture. The prototype comprises a Wemos D1 R1 microcontroller with DHT22 and an FC-28 moisture sensor. Two input parameters, temperature and soil moisture are utilised in Fuzzy Logic Control calculations. The output is the duration of the watering time in seconds. During testing, the value of the sensor is compared to existing manual instruments. In addition, fuzzy MatLab calculations are compared to the Fuzzy Logic Control method calculations. The FC-28 Soil Moisture sensor and hygrometer had an error rate of 3.2%, while the DHT22 sensor and thermometer had 1%. The Fuzzy Logic Control test for watering using fuzzy calculations in MatLab yielded a 3 per cent error rate.
Prediksi Jumlah Kejadian Titik Api Melalui Pendekatan Deret Waktu Menggunakan Model Seasonal Arima Alkaff, Muhammad; Yulianto, Nandang Eko
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 3 No. 2 (2019)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v3i2.122

Abstract

Kebakaran hutan merupakan permasalahan yang hampir setiap tahun terjadi di Indonesia terutama di pulau Sumatera dan Kalimantan. Umumnya kejadian kebakaran hutan di Indonesia terjadi pada lahan gambut, hal ini dikarenakan pada musim kemarau, lahan gambut akan menjadi sangat kering sampai kedalaman tertentu sehingga akan mudah terbakar. Upaya menanggulangi kebakaran hutan telah dilakukan melalui pemantauan titik api melalui satelit, hal ini telah dilakukan oleh NASA (National Aeronautics and Space Administration) dengan satelit Terra dan Aqua melalui instrument MODIS (Moderate Resolution Imaging Spectroradiometer). Data yang didapatkan dari satelit tersebut mulai dari tahun 2001 sampai dengan 2018 kemudian diproses menjadi jumlah kejadian titik api perbulan yang selanjutnya dianalisa dengan pendekatan deret waktu menggunakan model Seasonal ARIMA (Auto Regressive Integrated Moving Average). Hal ini dilakukan untuk mengetahui korelasi jumlah kejadian titik api yang terjadi dengan jumlah kejadian titik api pada waktu sebelumnya. Hasil pengujian menunjukkan bahwa model ARIMA (1,0,1)x(1,0,1,12) adalah model terbaik untuk melakukan prediksi jumlah titik api dengan nilai RMSE sebesar 5.85.
Co-Authors Abdullayev, Vugar Agus Dwi Susanto Ahmad Zainul Abidin Ainiyyah, Ainiyyah Akhmad Rojali Aldy Heriwardito Alfando, Muhammad Alvin Andi Eriadi Andi Farmadi Andreyan Rizky Baskara ARIF RAHMAN, MUHAMMAD Arina Ihda Rahmah Syarifah Ariska Deffy Anggarany, Ariska Deffy Baskara, Andreyan Budhi Antariksa Ceva W. Pitoyo Dany Primanita Kartikasari Darmawan, Puja Dewi Rizqia Najipah Dewi Yennita Sari Dodon Turianto Nugrahadi Erlina Burhan Fajar Zulkarnain, Andry Fatma Indriani Friska Abadi Gusti Nizar Syafi'i Halimah Halimah Hayatun Nufus Henning Titi Ciptaningtyas Hera Afidjati Herry Purnomo Husnul Khatimi Ibrahim Nur Insan Putra Darmawan Iftihatul Aulia Rahmah Iphan Fitrian Radam Iphan Fitrian Radam Iqbal Rizqi, Muhammad Irwan Budiman Jumadi Mabe Parenreng Marimin Marimin Maulani, Irham Maulidiya, Erika Maya Amalia Mohamad Fahmi Alatas Muhammad Afrizal Miqdad Muhammad Fachrurrazi Muhammad Nur Abdi Muhammad Reza Faisal, Muhammad Reza Muhammad Ridho A.G.D. Muhammad Ziki Elfirman Muliadi Muti'a Maulida Mutia Maulida Nandang Eko Yulianto Nurul Fathanah Mustamin Nurul Qamaria Paramita, Diana Putra, Andika Chandra Putri Ridha Amalia Raisa Amalia Rakhmadhany Primananda, Rakhmadhany Rani Sauriasari, Rani Reza Karimi Rita Rogayah Rudy Ansari, Rudy Rudy Herteno Ryan Ramel Samoedro, Erlang Saragih, Triando Hamonangan Sa’diah, Halimatus siti sheilawati Soehardiman, Dicky Sugiantoro Sugiantoro Sugiantoro Sugiantoro Sukamto Koesnoe Sukardi Sukardi Supeno Djanali Syarifah Soraya Takhwifa, Famila Taufik, Feni Fitriani Wenny Puspita Wijaya, Eka Setya Winarto Chandra Winda Agustina Windarsyah Windarsyah Yandra Arkeman Yulianto, Nandang Eko Yuslena Sari, Yuslena