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All Journal Jurnal Teknologi dan Sistem Komputer Faktor Exacta INOVTEK Polbeng - Seri Informatika Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Online Learning in Educational Research Teknovokasi : Jurnal Pengabdian Masyarakat Jurnal Pendidikan Terapan Journal of Embedded Systems, Security and Intelligent Systems Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal MediaTIK Media Elektrik
Muhammad Fajar B
Universitas Negeri Makassar
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Perbandingan penghitungan jarak pada k-nearest neighbour dalam klasifikasi data tekstual Wahyono Wahyono; I Nyoman Prayana Trisna; Sarah Lintang Sariwening; Muhammad Fajar; Danur Wijayanto
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 1, Year 2020 (January 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.8.1.2020.54-58

Abstract

One algorithm to classify textual data in automatic organizing of documents application is KNN, by changing word representations into vectors. The distance calculation in the KNN algorithm becomes essential in measuring the closeness between data elements. This study compares four distance calculations commonly used in KNN, namely Euclidean, Chebyshev, Manhattan, and Minkowski. The dataset used data from Youtube Eminem’s comments which contain 448 data. This study showed that Euclidian and Minkowski on the KNN algorithm achieved the best result compared to Chebycev and Manhattan. The best results on KNN are obtained when the K value is 3.
A Decision Support System to Determine the Familiy’s Economic Status for Certificate of The Low-Income Household Using MAUT Method Muhammad Yahya; Jumadi Mabe Parenreng; Fathahillah Fathahillah; M. Syahid Nur Wahid; Muhammad Fajar B; Abdul Wahid
Jurnal Inovtek Polbeng Seri Informatika Vol 7, No 2 (2022)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v7i2.2439

Abstract

The problem of unemployment and poverty is a significant issue that the government have yet to address completely. The number of working-age people continues to rise, yet there are insufficient employment openings to meet demand. The government then provided extensive aid to the community. The Village Information System, part of the digitization system in Laguruda Village, Takalar Regency, comprises an integrated intelligent system that can forecast the eligibility of people who come to apply for a certificate of incapacity so that they are no longer inappropriate targets. The method employed is the Multi-Attribute Utility Theory (MAUT), based on 14 criteria set forth by the Ministry of Social Affairs. The results of a 49-person sample of household heads who identified themselves as poor and in need of assistance from the Ministry of Social Affairs revealed that 57.14% were in the mediocre category, 36.73% were in the rich category, 4.08% were in the poor category, and 2.04% were in the very poor category. This information demonstrates the system's ability to filter requests for poverty certifications. On the other hand, village officials were assisted in determining the right conditions for residents to be eligible for a poverty certificate
PENGARUH MODEL BLENDED PROBLEM BASED LEARNING BERBASIS LMS MOODLE TERHADAP MOTIVASI BELAJAR DAN HASIL BELAJAR MAHASISWA JURUSAN AKUNTANSI M. Miftach Fakhri; Anwar Wahid; Della Fadhilatunisa; Dewi Fatmarani Surianto; Muhammad Fajar B; Akmal Hidayat
KLASIKAL : JOURNAL OF EDUCATION, LANGUAGE TEACHING AND SCIENCE Vol 4 No 3 (2022): Klasikal: Journal of Education, Language Teaching and Science
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52208/klasikal.v4i3.501

Abstract

This study aims to find out the Moodle LMS-based blended problem-based learning model which has an effect in improving student learning outcomes and motivation and differences in student learning outcomes and motivation provided by blended problem-based learning model learning based on Moodle LMS with students following a blended learning model. The research design carried out is quasi-experimental (quasi-experimental). The research sample consisted of class A as many as 34 people as an experimental class and class D as many as 33 people as a control class. The sampling technique is purposive sampling. The results of the study explained that the inferential h asil análisis with the paired simple t test explained that the t-count value is greater than the t-table with a sig value smaller than 0.05 which means that the implementation of a blended problem-based learning model can help increase student learning outcomes and motivation. In addition, the results of the independent simple t test explained that the t-count value is greater than the t-table with a sig value smaller than 0.05 which is meaningful, namely the results and learning motivation of experimental class students have significant differences with control class students.
Flipped Classroom Sebagai Implementasi Teknologi Dalam Meningkatkan Efektivitas Dan Hasil Belajar Mahasiswa Universitas Negeri Makassar Muhammad Fajar B; Hastuti; Muhammad Farham Saputra; Wilda Inaya Syafdwi; Putri Nanda Sari; Muhammad Fardhan
Jurnal Pendidikan Terapan Vol 1, No 1 January (2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.669 KB) | DOI: 10.61255/jupiter.v1i1.12

Abstract

The field of education, began to be affected by technological advances that are currently developing rapidly. Teachers and students will find it easier to carry out the teaching and learning process with technology. One of the implementers of technology is the use of  the Flipped Classroom  learning method.  Flipped Classroom learning  is a teaching and learning method where students participate in class while watching video lessons from outside the classroom through distance learning. A learning strategy known as "reverse classroom" uses a blended learning approach. The purpose of this study is to determine the effectiveness and learning outcomes of Makassar State University students by using Flipped Classroom as an implementation of technology. The population and samples in this study were active students of Makassar State University. The data collection technique in this study was to use a questionnaire sheet. The research method used is the Descriptive method with a quantitative approach. The research results obtained are the use  of Flipped Classroom among students of Makassar State University to increase the effectiveness and learning outcomes of students where with Flipped Classroom as a technology implementation will provide new experiences in carrying out the learning process.
FEATURES SIMPLIFICATION USING CUBIC BEZIER PROPERTIES FOR GAIT RECOGNITION ON SMARTPHONE Kurnia Prima Putra; Marwan Ramdhany Edy; M. Syahid Nur Wahid; Muhammad Fajar B; Fadhlirrahman Baso
Journal of Embedded Systems, Security and Intelligent Systems Vol. 3 No. 1 (2022): Vol 3, No 1 (2022): May 2022
Publisher : Program Studi Teknik Komputer

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Abstract

Smartphone is widely used around the world. It’s user authentication usually used pin code, pattern code, fingerprint and conventional login authentication. This kinds of authentication mechanism is intrusive because those mechanisms requires users to give exclusive interaction for user authentication during the process. One of authentication method which is non-intrusive during data collection is authentication by using gait. This mechanism classified as non-intrusive because this mechanism could gather biometric data without being noticed by the authentication subjects. Since it is non-intrusive, this mechanism allows re-authentications without bothering the authentication subjects. One of the recent gait recognition is using accelerometer on smartphone to measure and capture acceleration data on gait. This method extract step cycles in various length, map and interpolate the data into higher sample count, and then use each of mapped and interpolated data as feature using recognition. Regardless the classification or recognition method, using each mapped and interpolated data as features would result in high processing time during classification or recognition due to high feature count. In this research, we try to simplify the features of gait data with minimum data loss so it might give robust result with less latency by aligning cubic Bezier curve to step cycle data and extracting the Bezier properties.
Analisis Prediksi Tingkat Penyebaran COVID-19 di Sulawesi Selatan Menggunakan Teknik Data Mining Naive Bayes Muhammad Nur Yusri; Andi Akram Nur Risal; Muhammad Fajar B; Dewi Fatmarani Surianto; Fhatiah Adiba
Journal of Embedded Systems, Security and Intelligent Systems Vol. 3 No. 2 (2022): Vol 3, No 2 (2022): November 2022
Publisher : Program Studi Teknik Komputer

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Abstract

Pandemi atau wabah virus corona atau biasa disebut juga dengan COVID-19 yang bermula dari Wuhan, Provinsi Hubei, China, terus menyebar ke berbagai negara, termasuk Indonesia. Jumlah kasus positif COVID-19 terus meningkat tiap harinya secara signifikan dan menyebar secara cepat ke berbagai provinsi di Indonesia, termasuk di provinsi Sulawesi Selatan. Hingga saat ini, telah tercatat kasus positif corona di Sulawesi Selatan sebanyak 18.683 dan 470 orang meninggal dunia. Peningkatan kasus yang signifikan ini, mengakibatkan pembacaan data terkait kasus positif COVID-19 di Sulawesi Selatan dinilai kurang akurat. Oleh karena itu, penelitian ini dilakukan sebagai langkah antisipasi terhadap pandemi COVID-19 dengan memprediksi tingkat penyebaran COVID-19 terutama di Sulawesi Selatan agar mendapatkan keakurasian data yang lebih baik. Metode penelitian yang di terapkan pada penelitian ini ialah analisis masalah dan studi literatur, mengumpulkan data dan implementasi.
AUTOMATIC FISHPOND IRRIGATION DOOR CONTROL SYSTEM BASED ON ATMEGA16 MICROCONTROLLER AND SMS GATEWAY Muhammad Fajar B; Fitriyanty Dwi Lestary; M. Miftach Fakhri; Muhammad Agung; Dewi Fatmarani Surianto; Akmal Hidayat
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.669

Abstract

The process of controlling irrigation doors in fishponds is still mostly done manually, this results in the performance of farmers being less effective and efficient. Current technological developments, especially in the field of IoT, can be used to design a simulation that is able to control irrigation gates automatically. Based on the results of the tests that have been carried out, it can be concluded that the ATmega16-based automatic irrigation gate simulation tool can work well according to the designed working principle. If the condition of fishpond water is less than the ideal height of the fishpond and the condition of river water is more than the height of the fishpond, the motor will move to "open" the irrigation door to fill fishpond water. If the fishpond water condition is more than the ideal height and the river water condition is less than the fishpond height, the motor will move to "open" the irrigation door to discharge fishpond water and if the river water condition is the same as the fishpond water condition, the motor will move "close” the irrigation door so that the ideal height of the fishpond can be achieved. There are certain conditions to control the door manually using the SMS Gateway. Information about the maximum or minimum fishpond water level will be displayed on the LCD to determine the maximum or minimum fishpond height using Keypad.
SULSEL TYPICAL BATIK MOTIF CLASSIFICATION USING NEURAL NETWORK METHOD WITH GLCM FEATURE EXTRACTION: KLASIFIKASI MOTIF BATIK KHAS SULSEL MENGGUNAKAN METODE JST DENGAN EKSTRAKSI FITUR GLCM Trisakti Akbar; Muhammad Fajar B; Muhammad Akbar Amir; Andi Akram Nur Risal; Nur Azizah Ayu Safanah; M. Miftach Fakhri
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 1 Maret 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i1.49

Abstract

Batik adalah salah satu warisan budaya Indonesia yang terbuat dari corak/gambar di atas sebuah kain. Di Sulawesi Selatan, terdapat begitu banyak motif batik. Motif-motif itu pun terus mengalami perkembangan seiring berjalannya waktu. Karena jumlahnya yang banyak, tentunya akan membuat masyarakat kesulitan untuk mengidentifikasi motif batik yang ada saat ini. Untuk mengatasi permasalahan tersebut, penulis melakukan penelitian untuk mengklasifikasikan motif batik menggunakan Jaringan Syaraf Tiruan (JST) dengan ekstraksi fitur Gray Level Co-Occurrence Matrix (GLCM). Sampel yang digunakan adalah batik khas Sulawesi Selatan, yaitu motif Tongkonan, motif Kapal Pinisi, motif Lontara, dan motif Toraja gabungan. GLCM digunakan untuk mengekstraksi fitur, terdiri dari Angular Second Moment (ASM), kontras, Inverse Difference Moment (IDM), entropi, dan korelasi, yang kemudian diklasifikasikan dengan metode JST. Berdasarkan hasil uji coba menggunakan 120 data latih dan 40 data uji dari masing-masing jenis batik, didapatkan tingkat akurasi yang sangat tinggi yaitu 100%.
Prototype Sistem Monitoring Pendeteksi dan Penyaringan Udara pada Ruangan Berbasis Internet of Things (IoT) Muhammad Fajar B; Fitriyanty Dwi Lestary; Akmal Hidayat; Della Fadhilatunisa; Azzahra Eka
Jurnal MediaTIK Volume 6 Issue 2, Mei (2023)
Publisher : Jurusan Teknik Informatika dan Komputer

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

Abstract

Penelitian ini bertujuan untuk mengembangkan sebuah sistem pemantauan kualitas udara dalam ruangan menggunakan sensor MQ-2 dan MQ-135. Sistem ini dirancang dengan menggunakan Arduino Uno sebagai mikrokontroler, dan dilengkapi dengan LCD dan modul WiFi untuk mengirimkan data ke aplikasi. Data yang dikumpulkan meliputi kadar asap, kadar gas, suhu, dan kelembaban. Hasil penelitian menunjukkan bahwa alat dan sistem yang dibangun mampu memberikan hasil yang sesuai dengan yang diharapkan sehingga jika terdapat kondisi ruangan yang berubah secara tiba-tiba, maka dengan adanya aplikasi yang dapat memonitoring keadaan kondisi udara secara realtime, dapat dilakukan penanganan yang lebih cepat untuk menjamin agar kondisi udara dalam suatu ruangan tetap aman dan nyaman. Dengan sistem ini, diharapkan dapat memberikan informasi yang akurat mengenai kualitas udara dalam ruangan sehingga dapat meningkatkan kesadaran masyarakat akan pentingnya menjaga kualitas udara dalam ruangan.
Sistem Tes Interaktif Berbasis Computerized Adaptive Testing (CAT) Sanatang Sanatang; Muhammad Fajar B
Jurnal MediaTIK Volume 4 Issue 1, Januari (2021)
Publisher : Jurusan Teknik Informatika dan Komputer

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

Abstract

Penelitian bertujuan untuk membuat sistem tes interaktif berbasis computerized adaptive testing (CAT). Penelitian ini merupakan jenis penelitian pengembangan perangkat lunak (software development) dengan menggunakan metode SDLC (Systems Development Life Cycle) dan menggunakan model Waterfall. Hasil dari penelitian ini adalah sebuah sistem tes interaktif berbasis computerized adaptive testing (CAT) yang dapat digunakan pada lembaga Testing Centre untuk mengefektifkan dan mengefisienkan kinerja lembaga Testing Centre dalam pelaksanaan tes adaptif berbasis komputer. Tanggapan responden admin terhadap aspek kemudahan administrasi/pengelolaan sistem memberikan hasil rata-rata dengan persentase 95% sehingga termasuk kategori sangat baik, dan tanggapan responden testee terhadap aspek user friendly sistem meberikan hasil rata-rata dengan persentase 89% sehingga termasuk dalam kategori sangat baik. Sistem adaptive testing yang dibangun mampu mengukur tingkat kemampuan peserta dengan berdasar pada teori respon butir dua parameter logistik.
Co-Authors Abdul Wahid Akmal Hidayat Alfiani Alfiani Ananta Dwi Prayoga Alwy Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Nurul Izzah Andika Isma Anwar Wahid Azis Azis Azzahra Eka Baso Riadi Husda Bukhari Naufal Nur Ag Dary Mochamad Rifqie Della Fadhilatunisa Dewi Fatmarani Surianto Dirawan, Gufran Darma Edy Sabara Ervi Novitasari Fadhlirrahman Baso Fathahillah Fathahillah Fhatiah Adiba Fitriyanty Dwi Lestary Fitriyanty Dwi Lestary Hamda, Hamda Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hastuti I Nyoman Prayana Trisna Israwati Hamsar Iwan Suhardi jamaluddin Jamaluddin Jamaluddin Jariah S.Intam, Rezki Nurul Jumadi Mabe Parenreng Khaidir Rahman Kurnia Prima Putra Lavicza, Zsolt M. Miftach Fakhri M. Syahid Nur Wahid Marwan Ramdhani Edy Marwan Ramdhany Edy Muh. Bhilal Halim Muh. Irfan Nur Muhammad Agung Muhammad Agung Muhammad Akbar Amir Muhammad Fardhan Muhammad Farham Saputra Muhammad hasim Muhammad Nur Yusri Muhammad Yahya Nasrullah, Asmaul Husnah NFH, Alifya NIRMALA, PUTRI Nunik Lestari Nur Azizah Ayu Safanah Nurul Amanda Pratiwi Hasbullah Nurul Fadhilah Putri Nanda Sari Ramly Ramly Rosidah Sanatang Sarah Lintang Sariwening Sasmita Sasmita Soeharto Soeharto Sudarmanto Jayanegara Trisakti Akbar Wahyono Wahyono Wahyu Hidayat M WAHYUDI Wahyudi Wahyudi Wahyuni, Maya Sari Wardani, Ayu Tri Wijayanto, Danur Wilda Inaya Syafdwi